id	sid	tid	token	lemma	pos
aiti-11169	1	1	microsoft	microsoft	PROPN
aiti-11169	1	2	word	word	NOUN
aiti-11169	1	3	1	1	NUM
aiti-11169	1	4	-	-	PUNCT
aiti-11169	1	5	v8n3(2023)-aiti#11169(163	v8n3(2023)-aiti#11169(163	ADJ
aiti-11169	1	6	-	-	PUNCT
aiti-11169	1	7	176).docx	176).docx	NOUN
aiti-11169	1	8	advances	advance	NOUN
aiti-11169	1	9	in	in	ADP
aiti-11169	1	10	technology	technology	NOUN
aiti-11169	1	11	innovation	innovation	NOUN
aiti-11169	1	12	,	,	PUNCT
aiti-11169	1	13	vol	vol	NOUN
aiti-11169	1	14	.	.	PROPN
aiti-11169	1	15	8	8	NUM
aiti-11169	1	16	,	,	PUNCT
aiti-11169	1	17	no	no	INTJ
aiti-11169	1	18	.	.	NOUN
aiti-11169	1	19	3	3	NUM
aiti-11169	1	20	,	,	PUNCT
aiti-11169	1	21	2023	2023	NUM
aiti-11169	1	22	,	,	PUNCT
aiti-11169	1	23	pp	pp	ADJ
aiti-11169	1	24	.	.	PUNCT
aiti-11169	2	1	163	163	NUM
aiti-11169	2	2	-	-	SYM
aiti-11169	2	3	176	176	NUM
aiti-11169	2	4	english	english	ADJ
aiti-11169	2	5	language	language	NOUN
aiti-11169	2	6	proofreader	proofreader	NOUN
aiti-11169	2	7	:	:	PUNCT
aiti-11169	2	8	chih	chih	PROPN
aiti-11169	2	9	-	-	PUNCT
aiti-11169	2	10	wen	wen	PROPN
aiti-11169	2	11	teng	teng	PROPN
aiti-11169	2	12	swarm	swarm	PROPN
aiti-11169	2	13	intelligence	intelligence	NOUN
aiti-11169	2	14	algorithm	algorithm	NOUN
aiti-11169	2	15	based	base	VERB
aiti-11169	2	16	on	on	ADP
aiti-11169	2	17	plant	plant	NOUN
aiti-11169	2	18	root	root	NOUN
aiti-11169	2	19	system	system	NOUN
aiti-11169	2	20	in	in	ADP
aiti-11169	2	21	1d	1d	NUM
aiti-11169	2	22	biomedical	biomedical	ADJ
aiti-11169	2	23	signal	signal	NOUN
aiti-11169	2	24	feature	feature	NOUN
aiti-11169	2	25	engineering	engineering	NOUN
aiti-11169	2	26	to	to	PART
aiti-11169	2	27	improve	improve	VERB
aiti-11169	2	28	classification	classification	NOUN
aiti-11169	2	29	accuracy	accuracy	NOUN
aiti-11169	2	30	rui	rui	PROPN
aiti-11169	2	31	gong1,2	gong1,2	PROPN
aiti-11169	2	32	,	,	PUNCT
aiti-11169	2	33	*	*	PROPN
aiti-11169	2	34	,	,	PUNCT
aiti-11169	2	35	kazunori	kazunori	PROPN
aiti-11169	2	36	hase2	hase2	PROPN
aiti-11169	3	1	1organization	1organization	NUM
aiti-11169	3	2	of	of	ADP
aiti-11169	3	3	liberal	liberal	ADJ
aiti-11169	3	4	arts	art	NOUN
aiti-11169	3	5	education	education	NOUN
aiti-11169	3	6	,	,	PUNCT
aiti-11169	3	7	mejiro	mejiro	PROPN
aiti-11169	3	8	university	university	PROPN
aiti-11169	3	9	,	,	PUNCT
aiti-11169	3	10	tokyo	tokyo	PROPN
aiti-11169	3	11	,	,	PUNCT
aiti-11169	3	12	japan	japan	PROPN
aiti-11169	3	13	2faculty	2faculty	NUM
aiti-11169	3	14	of	of	ADP
aiti-11169	3	15	systems	system	NOUN
aiti-11169	3	16	design	design	NOUN
aiti-11169	3	17	,	,	PUNCT
aiti-11169	3	18	tokyo	tokyo	PROPN
aiti-11169	3	19	metropolitan	metropolitan	PROPN
aiti-11169	3	20	university	university	PROPN
aiti-11169	3	21	,	,	PUNCT
aiti-11169	3	22	tokyo	tokyo	PROPN
aiti-11169	3	23	,	,	PUNCT
aiti-11169	3	24	japan	japan	PROPN
aiti-11169	3	25	received	receive	VERB
aiti-11169	3	26	13	13	NUM
aiti-11169	3	27	november	november	PROPN
aiti-11169	3	28	2022	2022	NUM
aiti-11169	3	29	;	;	PUNCT
aiti-11169	3	30	received	receive	VERB
aiti-11169	3	31	in	in	ADP
aiti-11169	3	32	revised	revise	VERB
aiti-11169	3	33	form	form	NOUN
aiti-11169	3	34	02	02	NUM
aiti-11169	3	35	february	february	NOUN
aiti-11169	3	36	2023	2023	NUM
aiti-11169	3	37	;	;	PUNCT
aiti-11169	3	38	accepted	accept	VERB
aiti-11169	3	39	16	16	NUM
aiti-11169	3	40	february	february	PROPN
aiti-11169	3	41	2023	2023	NUM
aiti-11169	3	42	doi	doi	NOUN
aiti-11169	3	43	:	:	PUNCT
aiti-11169	3	44	https://doi.org/10.46604/aiti.2023.11169	https://doi.org/10.46604/aiti.2023.11169	PROPN
aiti-11169	3	45	abstract	abstract	NOUN
aiti-11169	3	46	the	the	DET
aiti-11169	3	47	classification	classification	NOUN
aiti-11169	3	48	accuracy	accuracy	NOUN
aiti-11169	3	49	of	of	ADP
aiti-11169	3	50	one	one	NUM
aiti-11169	3	51	-	-	PUNCT
aiti-11169	3	52	dimensional	dimensional	ADJ
aiti-11169	3	53	(	(	PUNCT
aiti-11169	3	54	1d	1d	NUM
aiti-11169	3	55	)	)	PUNCT
aiti-11169	3	56	biomedical	biomedical	ADJ
aiti-11169	3	57	signals	signal	NOUN
aiti-11169	3	58	is	be	AUX
aiti-11169	3	59	limited	limit	VERB
aiti-11169	3	60	due	due	ADP
aiti-11169	3	61	to	to	ADP
aiti-11169	3	62	the	the	DET
aiti-11169	3	63	lack	lack	NOUN
aiti-11169	3	64	of	of	ADP
aiti-11169	3	65	independence	independence	NOUN
aiti-11169	3	66	of	of	ADP
aiti-11169	3	67	the	the	DET
aiti-11169	3	68	extracted	extract	VERB
aiti-11169	3	69	features	feature	NOUN
aiti-11169	3	70	.	.	PUNCT
aiti-11169	4	1	to	to	PART
aiti-11169	4	2	address	address	VERB
aiti-11169	4	3	this	this	DET
aiti-11169	4	4	shortcoming	shortcoming	NOUN
aiti-11169	4	5	,	,	PUNCT
aiti-11169	4	6	the	the	DET
aiti-11169	4	7	study	study	NOUN
aiti-11169	4	8	applies	apply	VERB
aiti-11169	4	9	a	a	DET
aiti-11169	4	10	swarm	swarm	NOUN
aiti-11169	4	11	intelligence	intelligence	NOUN
aiti-11169	4	12	algorithm	algorithm	NOUN
aiti-11169	4	13	based	base	VERB
aiti-11169	4	14	on	on	ADP
aiti-11169	4	15	plant	plant	NOUN
aiti-11169	4	16	root	root	NOUN
aiti-11169	4	17	systems	system	NOUN
aiti-11169	4	18	(	(	PUNCT
aiti-11169	4	19	prss	prss	NOUN
aiti-11169	4	20	)	)	PUNCT
aiti-11169	4	21	to	to	PART
aiti-11169	4	22	feature	feature	VERB
aiti-11169	4	23	engineering	engineering	NOUN
aiti-11169	4	24	.	.	PUNCT
aiti-11169	5	1	some	some	DET
aiti-11169	5	2	basic	basic	ADJ
aiti-11169	5	3	features	feature	NOUN
aiti-11169	5	4	of	of	ADP
aiti-11169	5	5	1d	1d	NUM
aiti-11169	5	6	biomedical	biomedical	ADJ
aiti-11169	5	7	signals	signal	NOUN
aiti-11169	5	8	are	be	AUX
aiti-11169	5	9	integrated	integrate	VERB
aiti-11169	5	10	into	into	ADP
aiti-11169	5	11	a	a	DET
aiti-11169	5	12	digitized	digitize	VERB
aiti-11169	5	13	soil	soil	NOUN
aiti-11169	5	14	,	,	PUNCT
aiti-11169	5	15	and	and	CCONJ
aiti-11169	5	16	a	a	DET
aiti-11169	5	17	root	root	NOUN
aiti-11169	5	18	matrix	matrix	NOUN
aiti-11169	5	19	is	be	AUX
aiti-11169	5	20	generated	generate	VERB
aiti-11169	5	21	from	from	ADP
aiti-11169	5	22	this	this	DET
aiti-11169	5	23	digitized	digitize	VERB
aiti-11169	5	24	soil	soil	NOUN
aiti-11169	5	25	and	and	CCONJ
aiti-11169	5	26	the	the	DET
aiti-11169	5	27	prs	prs	NOUN
aiti-11169	5	28	algorithm	algorithm	NOUN
aiti-11169	5	29	.	.	PUNCT
aiti-11169	6	1	the	the	DET
aiti-11169	6	2	prs	prs	NOUN
aiti-11169	6	3	features	feature	NOUN
aiti-11169	6	4	are	be	AUX
aiti-11169	6	5	extracted	extract	VERB
aiti-11169	6	6	from	from	ADP
aiti-11169	6	7	the	the	DET
aiti-11169	6	8	root	root	NOUN
aiti-11169	6	9	matrix	matrix	NOUN
aiti-11169	6	10	and	and	CCONJ
aiti-11169	6	11	used	use	VERB
aiti-11169	6	12	to	to	PART
aiti-11169	6	13	classify	classify	VERB
aiti-11169	6	14	the	the	DET
aiti-11169	6	15	basic	basic	ADJ
aiti-11169	6	16	features	feature	NOUN
aiti-11169	6	17	.	.	PUNCT
aiti-11169	7	1	following	follow	VERB
aiti-11169	7	2	classification	classification	NOUN
aiti-11169	7	3	with	with	ADP
aiti-11169	7	4	the	the	DET
aiti-11169	7	5	same	same	ADJ
aiti-11169	7	6	biomedical	biomedical	ADJ
aiti-11169	7	7	signals	signal	NOUN
aiti-11169	7	8	and	and	CCONJ
aiti-11169	7	9	classifier	classifier	NOUN
aiti-11169	7	10	,	,	PUNCT
aiti-11169	7	11	the	the	DET
aiti-11169	7	12	accuracy	accuracy	NOUN
aiti-11169	7	13	of	of	ADP
aiti-11169	7	14	the	the	DET
aiti-11169	7	15	added	add	VERB
aiti-11169	7	16	prs	prs	NOUN
aiti-11169	7	17	set	set	VERB
aiti-11169	7	18	is	be	AUX
aiti-11169	7	19	generally	generally	ADV
aiti-11169	7	20	higher	high	ADJ
aiti-11169	7	21	than	than	ADP
aiti-11169	7	22	that	that	PRON
aiti-11169	7	23	of	of	ADP
aiti-11169	7	24	the	the	DET
aiti-11169	7	25	base	base	NOUN
aiti-11169	7	26	set	set	NOUN
aiti-11169	7	27	.	.	PUNCT
aiti-11169	8	1	the	the	DET
aiti-11169	8	2	result	result	NOUN
aiti-11169	8	3	shows	show	VERB
aiti-11169	8	4	that	that	SCONJ
aiti-11169	8	5	the	the	DET
aiti-11169	8	6	proposed	propose	VERB
aiti-11169	8	7	algorithm	algorithm	NOUN
aiti-11169	8	8	can	can	AUX
aiti-11169	8	9	expand	expand	VERB
aiti-11169	8	10	the	the	DET
aiti-11169	8	11	application	application	NOUN
aiti-11169	8	12	of	of	ADP
aiti-11169	8	13	1d	1d	NUM
aiti-11169	8	14	biomedical	biomedical	ADJ
aiti-11169	8	15	signals	signal	NOUN
aiti-11169	8	16	to	to	PART
aiti-11169	8	17	include	include	VERB
aiti-11169	8	18	more	more	ADJ
aiti-11169	8	19	biomedical	biomedical	ADJ
aiti-11169	8	20	signals	signal	NOUN
aiti-11169	8	21	in	in	ADP
aiti-11169	8	22	classification	classification	NOUN
aiti-11169	8	23	tasks	task	NOUN
aiti-11169	8	24	for	for	ADP
aiti-11169	8	25	clinical	clinical	ADJ
aiti-11169	8	26	diagnosis	diagnosis	NOUN
aiti-11169	8	27	.	.	PUNCT
aiti-11169	9	1	keywords	keyword	NOUN
aiti-11169	9	2	:	:	PUNCT
aiti-11169	9	3	one	one	NUM
aiti-11169	9	4	-	-	PUNCT
aiti-11169	9	5	dimensional	dimensional	ADJ
aiti-11169	9	6	biomedical	biomedical	ADJ
aiti-11169	9	7	signal	signal	NOUN
aiti-11169	9	8	,	,	PUNCT
aiti-11169	9	9	feature	feature	NOUN
aiti-11169	9	10	engineering	engineering	NOUN
aiti-11169	9	11	,	,	PUNCT
aiti-11169	9	12	plant	plant	NOUN
aiti-11169	9	13	root	root	NOUN
aiti-11169	9	14	system	system	NOUN
aiti-11169	9	15	algorithm	algorithm	NOUN
aiti-11169	9	16	,	,	PUNCT
aiti-11169	9	17	swarm	swarm	NOUN
aiti-11169	9	18	intelligence	intelligence	NOUN
aiti-11169	9	19	1	1	NUM
aiti-11169	9	20	.	.	PUNCT
aiti-11169	9	21	introduction	introduction	NOUN
aiti-11169	9	22	one	one	NUM
aiti-11169	9	23	-	-	PUNCT
aiti-11169	9	24	dimensional	dimensional	ADJ
aiti-11169	9	25	(	(	PUNCT
aiti-11169	9	26	1d	1d	NUM
aiti-11169	9	27	)	)	PUNCT
aiti-11169	9	28	biomedical	biomedical	ADJ
aiti-11169	9	29	signals	signal	NOUN
aiti-11169	9	30	are	be	AUX
aiti-11169	9	31	widely	widely	ADV
aiti-11169	9	32	used	use	VERB
aiti-11169	9	33	in	in	ADP
aiti-11169	9	34	the	the	DET
aiti-11169	9	35	medical	medical	ADJ
aiti-11169	9	36	field	field	NOUN
aiti-11169	9	37	and	and	CCONJ
aiti-11169	9	38	are	be	AUX
aiti-11169	9	39	crucial	crucial	ADJ
aiti-11169	9	40	for	for	ADP
aiti-11169	9	41	clinical	clinical	ADJ
aiti-11169	9	42	diagnosis	diagnosis	NOUN
aiti-11169	9	43	and	and	CCONJ
aiti-11169	9	44	treatment	treatment	NOUN
aiti-11169	9	45	.	.	PUNCT
aiti-11169	10	1	electrocardiograms	electrocardiogram	NOUN
aiti-11169	10	2	(	(	PUNCT
aiti-11169	10	3	ecgs	ecgs	PROPN
aiti-11169	10	4	)	)	PUNCT
aiti-11169	10	5	are	be	AUX
aiti-11169	10	6	commonly	commonly	ADV
aiti-11169	10	7	used	use	VERB
aiti-11169	10	8	to	to	PART
aiti-11169	10	9	diagnose	diagnose	VERB
aiti-11169	10	10	heart	heart	NOUN
aiti-11169	10	11	-	-	PUNCT
aiti-11169	10	12	related	relate	VERB
aiti-11169	10	13	diseases	disease	NOUN
aiti-11169	10	14	,	,	PUNCT
aiti-11169	10	15	and	and	CCONJ
aiti-11169	10	16	electroencephalograms	electroencephalogram	VERB
aiti-11169	10	17	(	(	PUNCT
aiti-11169	10	18	eegs	eegs	PROPN
aiti-11169	10	19	)	)	PUNCT
aiti-11169	10	20	are	be	AUX
aiti-11169	10	21	used	use	VERB
aiti-11169	10	22	to	to	PART
aiti-11169	10	23	determine	determine	VERB
aiti-11169	10	24	sleep	sleep	NOUN
aiti-11169	10	25	quality	quality	NOUN
aiti-11169	10	26	or	or	CCONJ
aiti-11169	10	27	mental	mental	ADJ
aiti-11169	10	28	state	state	NOUN
aiti-11169	11	1	[	[	X
aiti-11169	11	2	1	1	NUM
aiti-11169	11	3	]	]	PUNCT
aiti-11169	11	4	.	.	PUNCT
aiti-11169	12	1	electrical	electrical	ADJ
aiti-11169	12	2	-	-	PUNCT
aiti-11169	12	3	based	base	VERB
aiti-11169	12	4	biomedical	biomedical	ADJ
aiti-11169	12	5	signals	signal	NOUN
aiti-11169	12	6	perform	perform	VERB
aiti-11169	12	7	well	well	ADV
aiti-11169	12	8	,	,	PUNCT
aiti-11169	12	9	and	and	CCONJ
aiti-11169	12	10	magnetic	magnetic	ADJ
aiti-11169	12	11	,	,	PUNCT
aiti-11169	12	12	vibration	vibration	NOUN
aiti-11169	12	13	,	,	PUNCT
aiti-11169	12	14	and	and	CCONJ
aiti-11169	12	15	acoustic	acoustic	ADV
aiti-11169	12	16	-	-	PUNCT
aiti-11169	12	17	based	base	VERB
aiti-11169	12	18	biomedical	biomedical	ADJ
aiti-11169	12	19	signals	signal	NOUN
aiti-11169	12	20	are	be	AUX
aiti-11169	12	21	popularly	popularly	ADV
aiti-11169	12	22	used	use	VERB
aiti-11169	12	23	in	in	ADP
aiti-11169	12	24	clinical	clinical	ADJ
aiti-11169	12	25	applications	application	NOUN
aiti-11169	12	26	[	[	X
aiti-11169	12	27	2	2	NUM
aiti-11169	12	28	-	-	SYM
aiti-11169	12	29	3	3	NUM
aiti-11169	12	30	]	]	PUNCT
aiti-11169	12	31	.	.	PUNCT
aiti-11169	13	1	however	however	ADV
aiti-11169	13	2	,	,	PUNCT
aiti-11169	13	3	with	with	ADP
aiti-11169	13	4	increasingly	increasingly	ADV
aiti-11169	13	5	shorter	short	ADJ
aiti-11169	13	6	sampling	sampling	NOUN
aiti-11169	13	7	intervals	interval	NOUN
aiti-11169	13	8	and	and	CCONJ
aiti-11169	13	9	longer	long	ADJ
aiti-11169	13	10	signal	signal	VERB
aiti-11169	13	11	lengths	length	NOUN
aiti-11169	13	12	,	,	PUNCT
aiti-11169	13	13	analyzing	analyze	VERB
aiti-11169	13	14	1d	1d	NUM
aiti-11169	13	15	biomedical	biomedical	ADJ
aiti-11169	13	16	signals	signal	NOUN
aiti-11169	13	17	without	without	ADP
aiti-11169	13	18	the	the	DET
aiti-11169	13	19	assistance	assistance	NOUN
aiti-11169	13	20	of	of	ADP
aiti-11169	13	21	a	a	DET
aiti-11169	13	22	computer	computer	NOUN
aiti-11169	13	23	has	have	AUX
aiti-11169	13	24	become	become	VERB
aiti-11169	13	25	a	a	DET
aiti-11169	13	26	research	research	NOUN
aiti-11169	13	27	limitation	limitation	NOUN
aiti-11169	13	28	.	.	PUNCT
aiti-11169	14	1	machine	machine	NOUN
aiti-11169	14	2	learning	learn	VERB
aiti-11169	14	3	classification	classification	NOUN
aiti-11169	14	4	is	be	AUX
aiti-11169	14	5	a	a	DET
aiti-11169	14	6	cutting	cut	VERB
aiti-11169	14	7	-	-	PUNCT
aiti-11169	14	8	edge	edge	NOUN
aiti-11169	14	9	computer	computer	NOUN
aiti-11169	14	10	-	-	PUNCT
aiti-11169	14	11	assisted	assist	VERB
aiti-11169	14	12	1d	1d	NUM
aiti-11169	14	13	technique	technique	NOUN
aiti-11169	14	14	for	for	ADP
aiti-11169	14	15	analyzing	analyze	VERB
aiti-11169	14	16	biomedical	biomedical	ADJ
aiti-11169	14	17	signals	signal	NOUN
aiti-11169	14	18	[	[	X
aiti-11169	14	19	4	4	NUM
aiti-11169	14	20	]	]	PUNCT
aiti-11169	14	21	.	.	PUNCT
aiti-11169	15	1	supervised	supervised	ADJ
aiti-11169	15	2	classification	classification	NOUN
aiti-11169	15	3	is	be	AUX
aiti-11169	15	4	a	a	DET
aiti-11169	15	5	machine	machine	NOUN
aiti-11169	15	6	-	-	PUNCT
aiti-11169	15	7	learning	learning	NOUN
aiti-11169	15	8	technique	technique	NOUN
aiti-11169	15	9	that	that	PRON
aiti-11169	15	10	helps	help	VERB
aiti-11169	15	11	doctors	doctor	NOUN
aiti-11169	15	12	improve	improve	VERB
aiti-11169	15	13	diagnostic	diagnostic	ADJ
aiti-11169	15	14	accuracy	accuracy	NOUN
aiti-11169	15	15	by	by	ADP
aiti-11169	15	16	training	training	NOUN
aiti-11169	15	17	classifiers	classifier	NOUN
aiti-11169	15	18	with	with	ADP
aiti-11169	15	19	features	feature	NOUN
aiti-11169	15	20	of	of	ADP
aiti-11169	15	21	biomedical	biomedical	ADJ
aiti-11169	15	22	signals	signal	NOUN
aiti-11169	15	23	[	[	X
aiti-11169	15	24	5	5	NUM
aiti-11169	15	25	]	]	PUNCT
aiti-11169	15	26	.	.	PUNCT
aiti-11169	16	1	this	this	DET
aiti-11169	16	2	technique	technique	NOUN
aiti-11169	16	3	is	be	AUX
aiti-11169	16	4	effective	effective	ADJ
aiti-11169	16	5	for	for	ADP
aiti-11169	16	6	complex	complex	ADJ
aiti-11169	16	7	and	and	CCONJ
aiti-11169	16	8	large	large	ADJ
aiti-11169	16	9	datasets	dataset	NOUN
aiti-11169	16	10	,	,	PUNCT
aiti-11169	16	11	and	and	CCONJ
aiti-11169	16	12	a	a	DET
aiti-11169	16	13	well	well	ADV
aiti-11169	16	14	-	-	PUNCT
aiti-11169	16	15	designed	design	VERB
aiti-11169	16	16	classifier	classifier	NOUN
aiti-11169	16	17	training	training	NOUN
aiti-11169	16	18	model	model	NOUN
aiti-11169	16	19	combined	combine	VERB
aiti-11169	16	20	with	with	ADP
aiti-11169	16	21	high	high	ADJ
aiti-11169	16	22	-	-	PUNCT
aiti-11169	16	23	quality	quality	NOUN
aiti-11169	16	24	dataset	dataset	NOUN
aiti-11169	16	25	features	feature	NOUN
aiti-11169	16	26	frequently	frequently	ADV
aiti-11169	16	27	generates	generate	VERB
aiti-11169	16	28	unexpectedly	unexpectedly	ADV
aiti-11169	16	29	good	good	ADJ
aiti-11169	16	30	outcomes	outcome	NOUN
aiti-11169	16	31	.	.	PUNCT
aiti-11169	17	1	however	however	ADV
aiti-11169	17	2	,	,	PUNCT
aiti-11169	17	3	feature	feature	NOUN
aiti-11169	17	4	extraction	extraction	NOUN
aiti-11169	17	5	methods	method	NOUN
aiti-11169	17	6	are	be	AUX
aiti-11169	17	7	not	not	PART
aiti-11169	17	8	as	as	ADV
aiti-11169	17	9	versatile	versatile	ADJ
aiti-11169	17	10	as	as	ADP
aiti-11169	17	11	model	model	NOUN
aiti-11169	17	12	building	building	NOUN
aiti-11169	17	13	;	;	PUNCT
aiti-11169	17	14	thus	thus	ADV
aiti-11169	17	15	,	,	PUNCT
aiti-11169	17	16	related	related	ADJ
aiti-11169	17	17	research	research	NOUN
aiti-11169	17	18	has	have	AUX
aiti-11169	17	19	received	receive	VERB
aiti-11169	17	20	less	less	ADJ
aiti-11169	17	21	attention	attention	NOUN
aiti-11169	17	22	.	.	PUNCT
aiti-11169	18	1	traditional	traditional	ADJ
aiti-11169	18	2	and	and	CCONJ
aiti-11169	18	3	classical	classical	ADJ
aiti-11169	18	4	methods	method	NOUN
aiti-11169	18	5	are	be	AUX
aiti-11169	18	6	often	often	ADV
aiti-11169	18	7	used	use	VERB
aiti-11169	18	8	for	for	ADP
aiti-11169	18	9	the	the	DET
aiti-11169	18	10	extraction	extraction	NOUN
aiti-11169	18	11	of	of	ADP
aiti-11169	18	12	1d	1d	NUM
aiti-11169	18	13	biomedical	biomedical	ADJ
aiti-11169	18	14	signals	signal	NOUN
aiti-11169	18	15	.	.	PUNCT
aiti-11169	19	1	the	the	DET
aiti-11169	19	2	curve	curve	NOUN
aiti-11169	19	3	length	length	NOUN
aiti-11169	19	4	of	of	ADP
aiti-11169	19	5	the	the	DET
aiti-11169	19	6	signal	signal	NOUN
aiti-11169	19	7	in	in	ADP
aiti-11169	19	8	the	the	DET
aiti-11169	19	9	time	time	NOUN
aiti-11169	19	10	domain	domain	NOUN
aiti-11169	19	11	and	and	CCONJ
aiti-11169	19	12	the	the	DET
aiti-11169	19	13	total	total	ADJ
aiti-11169	19	14	spectral	spectral	ADJ
aiti-11169	19	15	power	power	NOUN
aiti-11169	19	16	in	in	ADP
aiti-11169	19	17	the	the	DET
aiti-11169	19	18	frequency	frequency	NOUN
aiti-11169	19	19	domain	domain	NOUN
aiti-11169	19	20	are	be	AUX
aiti-11169	19	21	common	common	ADJ
aiti-11169	19	22	classification	classification	NOUN
aiti-11169	19	23	features	feature	NOUN
aiti-11169	19	24	of	of	ADP
aiti-11169	19	25	ecg	ecg	PROPN
aiti-11169	19	26	signals	signal	NOUN
aiti-11169	19	27	[	[	X
aiti-11169	19	28	6	6	NUM
aiti-11169	19	29	]	]	PUNCT
aiti-11169	19	30	.	.	PUNCT
aiti-11169	20	1	meanwhile	meanwhile	ADV
aiti-11169	20	2	,	,	PUNCT
aiti-11169	20	3	shannon	shannon	PROPN
aiti-11169	20	4	entropy	entropy	PROPN
aiti-11169	20	5	is	be	AUX
aiti-11169	20	6	utilized	utilize	VERB
aiti-11169	20	7	as	as	ADP
aiti-11169	20	8	a	a	DET
aiti-11169	20	9	classification	classification	NOUN
aiti-11169	20	10	feature	feature	NOUN
aiti-11169	20	11	of	of	ADP
aiti-11169	20	12	electromyography	electromyography	NOUN
aiti-11169	20	13	(	(	PUNCT
aiti-11169	20	14	emg	emg	NOUN
aiti-11169	20	15	)	)	PUNCT
aiti-11169	20	16	signals	signal	NOUN
aiti-11169	20	17	in	in	ADP
aiti-11169	20	18	clinical	clinical	ADJ
aiti-11169	20	19	settings	setting	NOUN
aiti-11169	20	20	[	[	X
aiti-11169	20	21	7	7	NUM
aiti-11169	20	22	]	]	PUNCT
aiti-11169	20	23	.	.	PUNCT
aiti-11169	21	1	*	*	PUNCT
aiti-11169	21	2	corresponding	correspond	VERB
aiti-11169	21	3	author	author	NOUN
aiti-11169	21	4	.	.	PUNCT
aiti-11169	22	1	e	e	X
aiti-11169	22	2	-	-	NOUN
aiti-11169	22	3	mail	mail	NOUN
aiti-11169	22	4	address	address	NOUN
aiti-11169	22	5	:	:	PUNCT
aiti-11169	22	6	r.gong@mejiro.ac.jp	r.gong@mejiro.ac.jp	ADJ
aiti-11169	22	7	advances	advance	VERB
aiti-11169	22	8	in	in	ADP
aiti-11169	22	9	technology	technology	NOUN
aiti-11169	22	10	innovation	innovation	NOUN
aiti-11169	22	11	,	,	PUNCT
aiti-11169	22	12	vol	vol	NOUN
aiti-11169	22	13	.	.	PROPN
aiti-11169	22	14	8	8	NUM
aiti-11169	22	15	,	,	PUNCT
aiti-11169	22	16	no	no	INTJ
aiti-11169	22	17	.	.	NOUN
aiti-11169	22	18	3	3	NUM
aiti-11169	22	19	,	,	PUNCT
aiti-11169	22	20	2023	2023	NUM
aiti-11169	22	21	,	,	PUNCT
aiti-11169	22	22	pp	pp	ADJ
aiti-11169	22	23	.	.	PUNCT
aiti-11169	23	1	163	163	NUM
aiti-11169	23	2	-	-	SYM
aiti-11169	23	3	176	176	NUM
aiti-11169	23	4	164	164	NUM
aiti-11169	23	5	although	although	SCONJ
aiti-11169	23	6	these	these	DET
aiti-11169	23	7	features	feature	NOUN
aiti-11169	23	8	may	may	AUX
aiti-11169	23	9	seem	seem	VERB
aiti-11169	23	10	adequate	adequate	ADJ
aiti-11169	23	11	,	,	PUNCT
aiti-11169	23	12	the	the	DET
aiti-11169	23	13	naive	naive	ADJ
aiti-11169	23	14	bayes	bayes	NOUN
aiti-11169	23	15	classifier	classifier	NOUN
aiti-11169	23	16	,	,	PUNCT
aiti-11169	23	17	which	which	PRON
aiti-11169	23	18	is	be	AUX
aiti-11169	23	19	the	the	DET
aiti-11169	23	20	basis	basis	NOUN
aiti-11169	23	21	of	of	ADP
aiti-11169	23	22	machine	machine	NOUN
aiti-11169	23	23	learning	learning	NOUN
aiti-11169	23	24	theory	theory	NOUN
aiti-11169	23	25	,	,	PUNCT
aiti-11169	23	26	requires	require	VERB
aiti-11169	23	27	each	each	DET
aiti-11169	23	28	condition	condition	NOUN
aiti-11169	23	29	to	to	PART
aiti-11169	23	30	be	be	AUX
aiti-11169	23	31	independent	independent	ADJ
aiti-11169	23	32	during	during	ADP
aiti-11169	23	33	the	the	DET
aiti-11169	23	34	classification	classification	NOUN
aiti-11169	23	35	process	process	NOUN
aiti-11169	23	36	.	.	PUNCT
aiti-11169	24	1	in	in	ADP
aiti-11169	24	2	other	other	ADJ
aiti-11169	24	3	words	word	NOUN
aiti-11169	24	4	,	,	PUNCT
aiti-11169	24	5	features	feature	NOUN
aiti-11169	24	6	of	of	ADP
aiti-11169	24	7	biomedical	biomedical	ADJ
aiti-11169	24	8	signals	signal	NOUN
aiti-11169	24	9	extracted	extract	VERB
aiti-11169	24	10	from	from	ADP
aiti-11169	24	11	classical	classical	ADJ
aiti-11169	24	12	feature	feature	NOUN
aiti-11169	24	13	engineering	engineering	NOUN
aiti-11169	24	14	techniques	technique	NOUN
aiti-11169	24	15	should	should	AUX
aiti-11169	24	16	not	not	PART
aiti-11169	24	17	be	be	AUX
aiti-11169	24	18	correlated	correlate	VERB
aiti-11169	24	19	[	[	PUNCT
aiti-11169	24	20	8	8	NUM
aiti-11169	24	21	]	]	PUNCT
aiti-11169	24	22	.	.	PUNCT
aiti-11169	25	1	this	this	DET
aiti-11169	25	2	independence	independence	NOUN
aiti-11169	25	3	between	between	ADP
aiti-11169	25	4	features	feature	NOUN
aiti-11169	25	5	is	be	AUX
aiti-11169	25	6	undoubtedly	undoubtedly	ADV
aiti-11169	25	7	challenging	challenging	ADJ
aiti-11169	25	8	to	to	PART
aiti-11169	25	9	achieve	achieve	VERB
aiti-11169	25	10	because	because	SCONJ
aiti-11169	25	11	both	both	DET
aiti-11169	25	12	timeand	timeand	NOUN
aiti-11169	25	13	frequency	frequency	NOUN
aiti-11169	25	14	-	-	PUNCT
aiti-11169	25	15	domain	domain	NOUN
aiti-11169	25	16	features	feature	NOUN
aiti-11169	25	17	can	can	AUX
aiti-11169	25	18	always	always	ADV
aiti-11169	25	19	be	be	AUX
aiti-11169	25	20	connected	connect	VERB
aiti-11169	25	21	by	by	ADP
aiti-11169	25	22	certain	certain	ADJ
aiti-11169	25	23	operations	operation	NOUN
aiti-11169	25	24	and	and	CCONJ
aiti-11169	25	25	their	their	PRON
aiti-11169	25	26	inverse	inverse	NOUN
aiti-11169	25	27	.	.	PUNCT
aiti-11169	26	1	therefore	therefore	ADV
aiti-11169	26	2	,	,	PUNCT
aiti-11169	26	3	new	new	ADJ
aiti-11169	26	4	features	feature	NOUN
aiti-11169	26	5	with	with	ADP
aiti-11169	26	6	strong	strong	ADJ
aiti-11169	26	7	independence	independence	NOUN
aiti-11169	26	8	are	be	AUX
aiti-11169	26	9	needed	need	VERB
aiti-11169	26	10	to	to	PART
aiti-11169	26	11	characterize	characterize	VERB
aiti-11169	26	12	1d	1d	NUM
aiti-11169	26	13	biomedical	biomedical	ADJ
aiti-11169	26	14	signals	signal	NOUN
aiti-11169	26	15	.	.	PUNCT
aiti-11169	27	1	after	after	ADP
aiti-11169	27	2	investigation	investigation	NOUN
aiti-11169	27	3	,	,	PUNCT
aiti-11169	27	4	it	it	PRON
aiti-11169	27	5	was	be	AUX
aiti-11169	27	6	found	find	VERB
aiti-11169	27	7	that	that	SCONJ
aiti-11169	27	8	swarm	swarm	NOUN
aiti-11169	27	9	intelligence	intelligence	NOUN
aiti-11169	27	10	computing	computing	NOUN
aiti-11169	27	11	might	might	AUX
aiti-11169	27	12	solve	solve	VERB
aiti-11169	27	13	the	the	DET
aiti-11169	27	14	above	above	ADJ
aiti-11169	27	15	challenges	challenge	NOUN
aiti-11169	27	16	.	.	PUNCT
aiti-11169	28	1	when	when	SCONJ
aiti-11169	28	2	a	a	DET
aiti-11169	28	3	feature	feature	NOUN
aiti-11169	28	4	is	be	AUX
aiti-11169	28	5	extracted	extract	VERB
aiti-11169	28	6	using	use	VERB
aiti-11169	28	7	swarm	swarm	NOUN
aiti-11169	28	8	intelligence	intelligence	NOUN
aiti-11169	28	9	,	,	PUNCT
aiti-11169	28	10	the	the	DET
aiti-11169	28	11	new	new	ADJ
aiti-11169	28	12	feature	feature	NOUN
aiti-11169	28	13	has	have	VERB
aiti-11169	28	14	a	a	DET
aiti-11169	28	15	distinguishing	distinguish	VERB
aiti-11169	28	16	independence	independence	NOUN
aiti-11169	28	17	because	because	SCONJ
aiti-11169	28	18	each	each	DET
aiti-11169	28	19	member	member	NOUN
aiti-11169	28	20	of	of	ADP
aiti-11169	28	21	the	the	DET
aiti-11169	28	22	swarm	swarm	NOUN
aiti-11169	28	23	participates	participate	VERB
aiti-11169	28	24	in	in	ADP
aiti-11169	28	25	making	make	VERB
aiti-11169	28	26	the	the	DET
aiti-11169	28	27	choice	choice	NOUN
aiti-11169	28	28	.	.	PUNCT
aiti-11169	29	1	moreover	moreover	ADV
aiti-11169	29	2	,	,	PUNCT
aiti-11169	29	3	the	the	DET
aiti-11169	29	4	operations	operation	NOUN
aiti-11169	29	5	and	and	CCONJ
aiti-11169	29	6	transformations	transformation	NOUN
aiti-11169	29	7	of	of	ADP
aiti-11169	29	8	the	the	DET
aiti-11169	29	9	choice	choice	NOUN
aiti-11169	29	10	process	process	NOUN
aiti-11169	29	11	are	be	AUX
aiti-11169	29	12	irreversible	irreversible	ADJ
aiti-11169	29	13	.	.	PUNCT
aiti-11169	30	1	the	the	DET
aiti-11169	30	2	ant	ant	ADJ
aiti-11169	30	3	colony	colony	NOUN
aiti-11169	30	4	algorithm	algorithm	NOUN
aiti-11169	30	5	is	be	AUX
aiti-11169	30	6	a	a	DET
aiti-11169	30	7	popular	popular	ADJ
aiti-11169	30	8	swarm	swarm	NOUN
aiti-11169	30	9	intelligence	intelligence	NOUN
aiti-11169	30	10	algorithm	algorithm	NOUN
aiti-11169	30	11	,	,	PUNCT
aiti-11169	30	12	while	while	SCONJ
aiti-11169	30	13	the	the	DET
aiti-11169	30	14	bee	bee	PROPN
aiti-11169	30	15	colony	colony	NOUN
aiti-11169	30	16	algorithm	algorithm	NOUN
aiti-11169	30	17	has	have	AUX
aiti-11169	30	18	been	be	AUX
aiti-11169	30	19	developed	develop	VERB
aiti-11169	30	20	based	base	VERB
aiti-11169	30	21	on	on	ADP
aiti-11169	30	22	the	the	DET
aiti-11169	30	23	swarming	swarm	VERB
aiti-11169	30	24	and	and	CCONJ
aiti-11169	30	25	social	social	ADJ
aiti-11169	30	26	nature	nature	NOUN
aiti-11169	30	27	of	of	ADP
aiti-11169	30	28	bees	bee	NOUN
aiti-11169	30	29	[	[	X
aiti-11169	30	30	9	9	NUM
aiti-11169	30	31	]	]	PUNCT
aiti-11169	30	32	.	.	PUNCT
aiti-11169	31	1	currently	currently	ADV
aiti-11169	31	2	,	,	PUNCT
aiti-11169	31	3	dozens	dozen	NOUN
aiti-11169	31	4	of	of	ADP
aiti-11169	31	5	swarm	swarm	NOUN
aiti-11169	31	6	intelligence	intelligence	NOUN
aiti-11169	31	7	algorithms	algorithm	NOUN
aiti-11169	31	8	have	have	AUX
aiti-11169	31	9	been	be	AUX
aiti-11169	31	10	applied	apply	VERB
aiti-11169	31	11	to	to	AUX
aiti-11169	31	12	feature	feature	NOUN
aiti-11169	31	13	selection	selection	NOUN
aiti-11169	31	14	[	[	X
aiti-11169	31	15	10	10	NUM
aiti-11169	31	16	]	]	PUNCT
aiti-11169	31	17	.	.	PUNCT
aiti-11169	32	1	however	however	ADV
aiti-11169	32	2	,	,	PUNCT
aiti-11169	32	3	they	they	PRON
aiti-11169	32	4	are	be	AUX
aiti-11169	32	5	all	all	ADV
aiti-11169	32	6	based	base	VERB
aiti-11169	32	7	on	on	ADP
aiti-11169	32	8	social	social	ADJ
aiti-11169	32	9	animals	animal	NOUN
aiti-11169	32	10	,	,	PUNCT
aiti-11169	32	11	and	and	CCONJ
aiti-11169	32	12	the	the	DET
aiti-11169	32	13	independence	independence	NOUN
aiti-11169	32	14	of	of	ADP
aiti-11169	32	15	extracted	extract	VERB
aiti-11169	32	16	features	feature	NOUN
aiti-11169	32	17	is	be	AUX
aiti-11169	32	18	still	still	ADV
aiti-11169	32	19	lacking	lack	VERB
aiti-11169	32	20	.	.	PUNCT
aiti-11169	33	1	therefore	therefore	ADV
aiti-11169	33	2	,	,	PUNCT
aiti-11169	33	3	this	this	DET
aiti-11169	33	4	study	study	NOUN
aiti-11169	33	5	focuses	focus	VERB
aiti-11169	33	6	on	on	ADP
aiti-11169	33	7	“	"	PUNCT
aiti-11169	33	8	social	social	ADJ
aiti-11169	33	9	plants	plant	NOUN
aiti-11169	33	10	.	.	PUNCT
aiti-11169	33	11	”	"	PUNCT
aiti-11169	34	1	the	the	DET
aiti-11169	34	2	root	root	NOUN
aiti-11169	34	3	systems	system	NOUN
aiti-11169	34	4	of	of	ADP
aiti-11169	34	5	plants	plant	NOUN
aiti-11169	34	6	are	be	AUX
aiti-11169	34	7	complex	complex	ADJ
aiti-11169	34	8	enough	enough	ADV
aiti-11169	34	9	to	to	PART
aiti-11169	34	10	form	form	VERB
aiti-11169	34	11	group	group	NOUN
aiti-11169	34	12	intelligence	intelligence	NOUN
aiti-11169	34	13	as	as	ADV
aiti-11169	34	14	well	well	ADV
aiti-11169	34	15	.	.	PUNCT
aiti-11169	35	1	holker	holker	NOUN
aiti-11169	35	2	et	et	PROPN
aiti-11169	35	3	al	al	PROPN
aiti-11169	35	4	.	.	PUNCT
aiti-11169	36	1	[	[	X
aiti-11169	36	2	11	11	NUM
aiti-11169	36	3	]	]	PUNCT
aiti-11169	36	4	hypothesized	hypothesize	VERB
aiti-11169	36	5	that	that	SCONJ
aiti-11169	36	6	the	the	DET
aiti-11169	36	7	root	root	NOUN
aiti-11169	36	8	system	system	NOUN
aiti-11169	36	9	of	of	ADP
aiti-11169	36	10	plants	plant	NOUN
aiti-11169	36	11	is	be	AUX
aiti-11169	36	12	a	a	DET
aiti-11169	36	13	type	type	NOUN
aiti-11169	36	14	of	of	ADP
aiti-11169	36	15	swarm	swarm	NOUN
aiti-11169	36	16	intelligence	intelligence	NOUN
aiti-11169	36	17	system	system	NOUN
aiti-11169	36	18	.	.	PUNCT
aiti-11169	37	1	the	the	DET
aiti-11169	37	2	root	root	NOUN
aiti-11169	37	3	apices	apex	NOUN
aiti-11169	37	4	communicate	communicate	VERB
aiti-11169	37	5	with	with	ADP
aiti-11169	37	6	each	each	DET
aiti-11169	37	7	other	other	ADJ
aiti-11169	37	8	through	through	ADP
aiti-11169	37	9	electrical	electrical	ADJ
aiti-11169	37	10	signals	signal	NOUN
aiti-11169	37	11	or	or	CCONJ
aiti-11169	37	12	chemical	chemical	NOUN
aiti-11169	37	13	pheromones	pheromone	NOUN
aiti-11169	37	14	and	and	CCONJ
aiti-11169	37	15	build	build	VERB
aiti-11169	37	16	a	a	DET
aiti-11169	37	17	massive	massive	ADJ
aiti-11169	37	18	“	"	PUNCT
aiti-11169	37	19	brain	brain	NOUN
aiti-11169	37	20	-	-	PUNCT
aiti-11169	37	21	like	like	ADJ
aiti-11169	37	22	”	"	PUNCT
aiti-11169	37	23	system	system	NOUN
aiti-11169	37	24	underground	underground	ADJ
aiti-11169	37	25	.	.	PUNCT
aiti-11169	38	1	within	within	ADP
aiti-11169	38	2	such	such	DET
aiti-11169	38	3	a	a	DET
aiti-11169	38	4	complex	complex	ADJ
aiti-11169	38	5	root	root	NOUN
aiti-11169	38	6	system	system	NOUN
aiti-11169	38	7	,	,	PUNCT
aiti-11169	38	8	independent	independent	ADJ
aiti-11169	38	9	roots	root	NOUN
aiti-11169	38	10	acquire	acquire	VERB
aiti-11169	38	11	water	water	NOUN
aiti-11169	38	12	and	and	CCONJ
aiti-11169	38	13	nutrients	nutrient	NOUN
aiti-11169	38	14	through	through	ADP
aiti-11169	38	15	cooperation	cooperation	NOUN
aiti-11169	38	16	.	.	PUNCT
aiti-11169	39	1	to	to	PART
aiti-11169	39	2	support	support	VERB
aiti-11169	39	3	proper	proper	ADJ
aiti-11169	39	4	growth	growth	NOUN
aiti-11169	39	5	and	and	CCONJ
aiti-11169	39	6	development	development	NOUN
aiti-11169	39	7	,	,	PUNCT
aiti-11169	39	8	the	the	DET
aiti-11169	39	9	root	root	NOUN
aiti-11169	39	10	system	system	NOUN
aiti-11169	39	11	competes	compete	VERB
aiti-11169	39	12	with	with	ADP
aiti-11169	39	13	other	other	ADJ
aiti-11169	39	14	root	root	NOUN
aiti-11169	39	15	systems	system	NOUN
aiti-11169	39	16	,	,	PUNCT
aiti-11169	39	17	beginning	begin	VERB
aiti-11169	39	18	a	a	DET
aiti-11169	39	19	“	"	PUNCT
aiti-11169	39	20	war	war	NOUN
aiti-11169	39	21	”	"	PUNCT
aiti-11169	39	22	when	when	SCONJ
aiti-11169	39	23	it	it	PRON
aiti-11169	39	24	has	have	VERB
aiti-11169	39	25	an	an	DET
aiti-11169	39	26	advantage	advantage	NOUN
aiti-11169	39	27	and	and	CCONJ
aiti-11169	39	28	retreating	retreat	VERB
aiti-11169	39	29	when	when	SCONJ
aiti-11169	39	30	it	it	PRON
aiti-11169	39	31	is	be	AUX
aiti-11169	39	32	at	at	ADP
aiti-11169	39	33	a	a	DET
aiti-11169	39	34	disadvantage	disadvantage	NOUN
aiti-11169	39	35	[	[	X
aiti-11169	39	36	11	11	NUM
aiti-11169	39	37	]	]	PUNCT
aiti-11169	39	38	.	.	PUNCT
aiti-11169	40	1	a	a	DET
aiti-11169	40	2	swarm	swarm	NOUN
aiti-11169	40	3	intelligence	intelligence	NOUN
aiti-11169	40	4	algorithm	algorithm	NOUN
aiti-11169	40	5	based	base	VERB
aiti-11169	40	6	on	on	ADP
aiti-11169	40	7	a	a	DET
aiti-11169	40	8	plant	plant	NOUN
aiti-11169	40	9	root	root	NOUN
aiti-11169	40	10	system	system	NOUN
aiti-11169	40	11	(	(	PUNCT
aiti-11169	40	12	prs	prs	NOUN
aiti-11169	40	13	)	)	PUNCT
aiti-11169	40	14	is	be	AUX
aiti-11169	40	15	proposed	propose	VERB
aiti-11169	40	16	and	and	CCONJ
aiti-11169	40	17	applied	apply	VERB
aiti-11169	40	18	to	to	ADP
aiti-11169	40	19	feature	feature	VERB
aiti-11169	40	20	engineering	engineering	NOUN
aiti-11169	40	21	in	in	ADP
aiti-11169	40	22	this	this	DET
aiti-11169	40	23	study	study	NOUN
aiti-11169	40	24	.	.	PUNCT
aiti-11169	41	1	specifically	specifically	ADV
aiti-11169	41	2	,	,	PUNCT
aiti-11169	41	3	the	the	DET
aiti-11169	41	4	proposed	propose	VERB
aiti-11169	41	5	prs	prs	NOUN
aiti-11169	41	6	approach	approach	NOUN
aiti-11169	41	7	imitates	imitate	VERB
aiti-11169	41	8	the	the	DET
aiti-11169	41	9	growth	growth	NOUN
aiti-11169	41	10	of	of	ADP
aiti-11169	41	11	plant	plant	NOUN
aiti-11169	41	12	roots	root	NOUN
aiti-11169	41	13	,	,	PUNCT
aiti-11169	41	14	in	in	ADP
aiti-11169	41	15	which	which	PRON
aiti-11169	41	16	the	the	DET
aiti-11169	41	17	root	root	NOUN
aiti-11169	41	18	apices	apex	NOUN
aiti-11169	41	19	cooperate	cooperate	VERB
aiti-11169	41	20	to	to	PART
aiti-11169	41	21	absorb	absorb	VERB
aiti-11169	41	22	as	as	ADP
aiti-11169	41	23	much	much	ADJ
aiti-11169	41	24	of	of	ADP
aiti-11169	41	25	the	the	DET
aiti-11169	41	26	sustaining	sustain	VERB
aiti-11169	41	27	nutrients	nutrient	NOUN
aiti-11169	41	28	as	as	ADP
aiti-11169	41	29	possible	possible	ADJ
aiti-11169	41	30	.	.	PUNCT
aiti-11169	42	1	in	in	ADP
aiti-11169	42	2	the	the	DET
aiti-11169	42	3	proposed	propose	VERB
aiti-11169	42	4	approach	approach	NOUN
aiti-11169	42	5	,	,	PUNCT
aiti-11169	42	6	the	the	DET
aiti-11169	42	7	base	base	NOUN
aiti-11169	42	8	features	feature	NOUN
aiti-11169	42	9	used	use	VERB
aiti-11169	42	10	by	by	ADP
aiti-11169	42	11	the	the	DET
aiti-11169	42	12	selected	select	VERB
aiti-11169	42	13	machine	machine	NOUN
aiti-11169	42	14	learning	learning	NOUN
aiti-11169	42	15	model	model	NOUN
aiti-11169	42	16	to	to	PART
aiti-11169	42	17	classify	classify	VERB
aiti-11169	42	18	biomedical	biomedical	ADJ
aiti-11169	42	19	signals	signal	NOUN
aiti-11169	42	20	are	be	AUX
aiti-11169	42	21	equivalent	equivalent	ADJ
aiti-11169	42	22	to	to	ADP
aiti-11169	42	23	the	the	DET
aiti-11169	42	24	nutrients	nutrient	NOUN
aiti-11169	42	25	in	in	ADP
aiti-11169	42	26	digitized	digitize	VERB
aiti-11169	42	27	soil	soil	NOUN
aiti-11169	42	28	.	.	PUNCT
aiti-11169	43	1	these	these	DET
aiti-11169	43	2	base	base	NOUN
aiti-11169	43	3	features	feature	NOUN
aiti-11169	43	4	are	be	AUX
aiti-11169	43	5	obtained	obtain	VERB
aiti-11169	43	6	using	use	VERB
aiti-11169	43	7	common	common	ADJ
aiti-11169	43	8	feature	feature	NOUN
aiti-11169	43	9	extraction	extraction	NOUN
aiti-11169	43	10	methods	method	NOUN
aiti-11169	43	11	.	.	PUNCT
aiti-11169	44	1	the	the	DET
aiti-11169	44	2	sum	sum	NOUN
aiti-11169	44	3	of	of	ADP
aiti-11169	44	4	the	the	DET
aiti-11169	44	5	nutrients	nutrient	NOUN
aiti-11169	44	6	absorbed	absorb	VERB
aiti-11169	44	7	during	during	ADP
aiti-11169	44	8	growth	growth	NOUN
aiti-11169	44	9	also	also	ADV
aiti-11169	44	10	serves	serve	VERB
aiti-11169	44	11	as	as	ADP
aiti-11169	44	12	the	the	DET
aiti-11169	44	13	first	first	ADJ
aiti-11169	44	14	auxiliary	auxiliary	ADJ
aiti-11169	44	15	feature	feature	NOUN
aiti-11169	44	16	,	,	PUNCT
aiti-11169	44	17	and	and	CCONJ
aiti-11169	44	18	the	the	DET
aiti-11169	44	19	growth	growth	NOUN
aiti-11169	44	20	area	area	NOUN
aiti-11169	44	21	of	of	ADP
aiti-11169	44	22	the	the	DET
aiti-11169	44	23	root	root	NOUN
aiti-11169	44	24	system	system	NOUN
aiti-11169	44	25	is	be	AUX
aiti-11169	44	26	the	the	DET
aiti-11169	44	27	second	second	ADJ
aiti-11169	44	28	auxiliary	auxiliary	ADJ
aiti-11169	44	29	feature	feature	NOUN
aiti-11169	44	30	.	.	PUNCT
aiti-11169	45	1	these	these	DET
aiti-11169	45	2	auxiliary	auxiliary	ADJ
aiti-11169	45	3	features	feature	NOUN
aiti-11169	45	4	are	be	AUX
aiti-11169	45	5	referred	refer	VERB
aiti-11169	45	6	to	to	ADP
aiti-11169	45	7	as	as	SCONJ
aiti-11169	45	8	auxiliary	auxiliary	ADJ
aiti-11169	45	9	prs	prs	NOUN
aiti-11169	45	10	features	feature	VERB
aiti-11169	45	11	.	.	PUNCT
aiti-11169	46	1	during	during	ADP
aiti-11169	46	2	model	model	NOUN
aiti-11169	46	3	training	training	NOUN
aiti-11169	46	4	,	,	PUNCT
aiti-11169	46	5	the	the	DET
aiti-11169	46	6	most	most	ADV
aiti-11169	46	7	significant	significant	ADJ
aiti-11169	46	8	advantage	advantage	NOUN
aiti-11169	46	9	of	of	ADP
aiti-11169	46	10	the	the	DET
aiti-11169	46	11	prs	prs	NOUN
aiti-11169	46	12	features	feature	NOUN
aiti-11169	46	13	based	base	VERB
aiti-11169	46	14	on	on	ADP
aiti-11169	46	15	swarm	swarm	NOUN
aiti-11169	46	16	intelligence	intelligence	NOUN
aiti-11169	46	17	is	be	AUX
aiti-11169	46	18	that	that	SCONJ
aiti-11169	46	19	they	they	PRON
aiti-11169	46	20	are	be	AUX
aiti-11169	46	21	ideally	ideally	ADV
aiti-11169	46	22	independent	independent	ADJ
aiti-11169	46	23	(	(	PUNCT
aiti-11169	46	24	with	with	ADP
aiti-11169	46	25	a	a	DET
aiti-11169	46	26	low	low	ADJ
aiti-11169	46	27	correlation	correlation	NOUN
aiti-11169	46	28	with	with	ADP
aiti-11169	46	29	the	the	DET
aiti-11169	46	30	other	other	ADJ
aiti-11169	46	31	features	feature	NOUN
aiti-11169	46	32	)	)	PUNCT
aiti-11169	46	33	and	and	CCONJ
aiti-11169	46	34	highly	highly	ADV
aiti-11169	46	35	correlated	correlate	VERB
aiti-11169	46	36	with	with	ADP
aiti-11169	46	37	the	the	DET
aiti-11169	46	38	dependent	dependent	ADJ
aiti-11169	46	39	variable	variable	NOUN
aiti-11169	46	40	.	.	PUNCT
aiti-11169	47	1	the	the	DET
aiti-11169	47	2	independence	independence	NOUN
aiti-11169	47	3	of	of	ADP
aiti-11169	47	4	the	the	DET
aiti-11169	47	5	prs	prs	NOUN
aiti-11169	47	6	features	feature	NOUN
aiti-11169	47	7	is	be	AUX
aiti-11169	47	8	derived	derive	VERB
aiti-11169	47	9	from	from	ADP
aiti-11169	47	10	the	the	DET
aiti-11169	47	11	brain	brain	NOUN
aiti-11169	47	12	-	-	PUNCT
aiti-11169	47	13	like	like	ADJ
aiti-11169	47	14	structure	structure	NOUN
aiti-11169	47	15	of	of	ADP
aiti-11169	47	16	the	the	DET
aiti-11169	47	17	root	root	NOUN
aiti-11169	47	18	system	system	NOUN
aiti-11169	47	19	,	,	PUNCT
aiti-11169	47	20	where	where	SCONJ
aiti-11169	47	21	the	the	DET
aiti-11169	47	22	co	co	NOUN
aiti-11169	47	23	-	-	NOUN
aiti-11169	47	24	determination	determination	NOUN
aiti-11169	47	25	of	of	ADP
aiti-11169	47	26	the	the	DET
aiti-11169	47	27	root	root	NOUN
aiti-11169	47	28	tips	tip	NOUN
aiti-11169	47	29	reduces	reduce	VERB
aiti-11169	47	30	the	the	DET
aiti-11169	47	31	correlation	correlation	NOUN
aiti-11169	47	32	with	with	ADP
aiti-11169	47	33	the	the	DET
aiti-11169	47	34	base	base	NOUN
aiti-11169	47	35	features	feature	VERB
aiti-11169	47	36	.	.	PUNCT
aiti-11169	48	1	as	as	ADP
aiti-11169	48	2	an	an	DET
aiti-11169	48	3	advantage	advantage	NOUN
aiti-11169	48	4	,	,	PUNCT
aiti-11169	48	5	prs	prs	NOUN
aiti-11169	48	6	auxiliary	auxiliary	ADJ
aiti-11169	48	7	features	feature	NOUN
aiti-11169	48	8	of	of	ADP
aiti-11169	48	9	biomedical	biomedical	ADJ
aiti-11169	48	10	signals	signal	NOUN
aiti-11169	48	11	are	be	AUX
aiti-11169	48	12	obtained	obtain	VERB
aiti-11169	48	13	from	from	ADP
aiti-11169	48	14	the	the	DET
aiti-11169	48	15	proposed	propose	VERB
aiti-11169	48	16	algorithm	algorithm	NOUN
aiti-11169	48	17	.	.	PUNCT
aiti-11169	49	1	after	after	ADP
aiti-11169	49	2	appending	append	VERB
aiti-11169	49	3	these	these	DET
aiti-11169	49	4	features	feature	NOUN
aiti-11169	49	5	to	to	ADP
aiti-11169	49	6	the	the	DET
aiti-11169	49	7	training	training	NOUN
aiti-11169	49	8	set	set	NOUN
aiti-11169	49	9	,	,	PUNCT
aiti-11169	49	10	the	the	DET
aiti-11169	49	11	correlation	correlation	NOUN
aiti-11169	49	12	between	between	ADP
aiti-11169	49	13	the	the	DET
aiti-11169	49	14	features	feature	NOUN
aiti-11169	49	15	decreases	decrease	VERB
aiti-11169	49	16	and	and	CCONJ
aiti-11169	49	17	leads	lead	VERB
aiti-11169	49	18	to	to	ADP
aiti-11169	49	19	reduced	reduced	ADJ
aiti-11169	49	20	bias	bias	NOUN
aiti-11169	49	21	and	and	CCONJ
aiti-11169	49	22	variance	variance	NOUN
aiti-11169	49	23	and	and	CCONJ
aiti-11169	49	24	improved	improved	ADJ
aiti-11169	49	25	accuracy	accuracy	NOUN
aiti-11169	49	26	in	in	ADP
aiti-11169	49	27	machine	machine	NOUN
aiti-11169	49	28	learning	learn	VERB
aiti-11169	49	29	classification	classification	NOUN
aiti-11169	49	30	.	.	PUNCT
aiti-11169	50	1	most	most	ADV
aiti-11169	50	2	importantly	importantly	ADV
aiti-11169	50	3	,	,	PUNCT
aiti-11169	50	4	the	the	DET
aiti-11169	50	5	prs	prs	NOUN
aiti-11169	50	6	algorithm	algorithm	NOUN
aiti-11169	50	7	is	be	AUX
aiti-11169	50	8	universally	universally	ADV
aiti-11169	50	9	applicable	applicable	ADJ
aiti-11169	50	10	for	for	ADP
aiti-11169	50	11	the	the	DET
aiti-11169	50	12	feature	feature	NOUN
aiti-11169	50	13	engineering	engineering	NOUN
aiti-11169	50	14	of	of	ADP
aiti-11169	50	15	most	most	ADJ
aiti-11169	50	16	1d	1d	NUM
aiti-11169	50	17	biomedical	biomedical	ADJ
aiti-11169	50	18	signals	signal	NOUN
aiti-11169	50	19	.	.	PUNCT
aiti-11169	51	1	this	this	DET
aiti-11169	51	2	technology	technology	NOUN
aiti-11169	51	3	also	also	ADV
aiti-11169	51	4	enables	enable	VERB
aiti-11169	51	5	1d	1d	NUM
aiti-11169	51	6	biomedical	biomedical	ADJ
aiti-11169	51	7	signals	signal	NOUN
aiti-11169	51	8	to	to	PART
aiti-11169	51	9	become	become	VERB
aiti-11169	51	10	more	more	ADV
aiti-11169	51	11	competitive	competitive	ADJ
aiti-11169	51	12	in	in	ADP
aiti-11169	51	13	the	the	DET
aiti-11169	51	14	clinical	clinical	ADJ
aiti-11169	51	15	field	field	NOUN
aiti-11169	51	16	by	by	ADP
aiti-11169	51	17	improving	improve	VERB
aiti-11169	51	18	the	the	DET
aiti-11169	51	19	accuracy	accuracy	NOUN
aiti-11169	51	20	of	of	ADP
aiti-11169	51	21	machine	machine	NOUN
aiti-11169	51	22	learning	learn	VERB
aiti-11169	51	23	classification	classification	NOUN
aiti-11169	51	24	.	.	PUNCT
aiti-11169	52	1	2	2	X
aiti-11169	52	2	.	.	X
aiti-11169	52	3	method	method	PROPN
aiti-11169	52	4	2.1	2.1	NUM
aiti-11169	52	5	.	.	PUNCT
aiti-11169	53	1	extraction	extraction	NOUN
aiti-11169	53	2	of	of	ADP
aiti-11169	53	3	base	base	NOUN
aiti-11169	53	4	features	feature	VERB
aiti-11169	53	5	the	the	DET
aiti-11169	53	6	growth	growth	NOUN
aiti-11169	53	7	of	of	ADP
aiti-11169	53	8	natural	natural	ADJ
aiti-11169	53	9	plants	plant	NOUN
aiti-11169	53	10	requires	require	VERB
aiti-11169	53	11	suitable	suitable	ADJ
aiti-11169	53	12	soil	soil	NOUN
aiti-11169	53	13	;	;	PUNCT
aiti-11169	53	14	similarly	similarly	ADV
aiti-11169	53	15	,	,	PUNCT
aiti-11169	53	16	the	the	DET
aiti-11169	53	17	extraction	extraction	NOUN
aiti-11169	53	18	of	of	ADP
aiti-11169	53	19	prs	prs	NOUN
aiti-11169	53	20	features	feature	NOUN
aiti-11169	53	21	requires	require	VERB
aiti-11169	53	22	digitized	digitize	VERB
aiti-11169	53	23	soil	soil	NOUN
aiti-11169	53	24	(	(	PUNCT
aiti-11169	53	25	a	a	DET
aiti-11169	53	26	feature	feature	NOUN
aiti-11169	53	27	matrix	matrix	NOUN
aiti-11169	53	28	)	)	PUNCT
aiti-11169	53	29	composed	compose	VERB
aiti-11169	53	30	of	of	ADP
aiti-11169	53	31	base	base	NOUN
aiti-11169	53	32	features	feature	NOUN
aiti-11169	53	33	.	.	PUNCT
aiti-11169	54	1	when	when	SCONJ
aiti-11169	54	2	extracting	extract	VERB
aiti-11169	54	3	base	base	NOUN
aiti-11169	54	4	features	feature	NOUN
aiti-11169	54	5	,	,	PUNCT
aiti-11169	54	6	time	time	NOUN
aiti-11169	54	7	-	-	PUNCT
aiti-11169	54	8	domain	domain	NOUN
aiti-11169	54	9	features	feature	NOUN
aiti-11169	54	10	are	be	AUX
aiti-11169	54	11	generally	generally	ADV
aiti-11169	54	12	preferred	prefer	VERB
aiti-11169	54	13	over	over	ADP
aiti-11169	54	14	frequency	frequency	NOUN
aiti-11169	54	15	-	-	PUNCT
aiti-11169	54	16	domain	domain	NOUN
aiti-11169	54	17	and	and	CCONJ
aiti-11169	54	18	nonlinear	nonlinear	ADJ
aiti-11169	54	19	features	feature	NOUN
aiti-11169	54	20	.	.	PUNCT
aiti-11169	55	1	time	time	NOUN
aiti-11169	55	2	-	-	PUNCT
aiti-11169	55	3	domain	domain	NOUN
aiti-11169	55	4	features	feature	NOUN
aiti-11169	55	5	are	be	AUX
aiti-11169	55	6	more	more	ADV
aiti-11169	55	7	reliable	reliable	ADJ
aiti-11169	55	8	than	than	ADP
aiti-11169	55	9	nonlinear	nonlinear	ADJ
aiti-11169	55	10	features	feature	NOUN
aiti-11169	55	11	for	for	ADP
aiti-11169	55	12	involving	involve	VERB
aiti-11169	55	13	a	a	DET
aiti-11169	55	14	lower	low	ADJ
aiti-11169	55	15	computational	computational	ADJ
aiti-11169	55	16	burden	burden	NOUN
aiti-11169	55	17	for	for	ADP
aiti-11169	55	18	nonstationary	nonstationary	ADJ
aiti-11169	55	19	1d	1d	NUM
aiti-11169	55	20	biomedical	biomedical	ADJ
aiti-11169	55	21	signals	signal	NOUN
aiti-11169	55	22	.	.	PUNCT
aiti-11169	56	1	[	[	X
aiti-11169	56	2	12	12	NUM
aiti-11169	56	3	]	]	PUNCT
aiti-11169	56	4	.	.	PUNCT
aiti-11169	57	1	moreover	moreover	ADV
aiti-11169	57	2	,	,	PUNCT
aiti-11169	57	3	time	time	NOUN
aiti-11169	57	4	-	-	PUNCT
aiti-11169	57	5	domain	domain	NOUN
aiti-11169	57	6	features	feature	NOUN
aiti-11169	57	7	are	be	AUX
aiti-11169	57	8	more	more	ADV
aiti-11169	57	9	dependable	dependable	ADJ
aiti-11169	57	10	than	than	ADP
aiti-11169	57	11	frequency	frequency	NOUN
aiti-11169	57	12	-	-	PUNCT
aiti-11169	57	13	domain	domain	NOUN
aiti-11169	57	14	features	feature	NOUN
aiti-11169	57	15	because	because	SCONJ
aiti-11169	57	16	they	they	PRON
aiti-11169	57	17	avoid	avoid	VERB
aiti-11169	57	18	the	the	DET
aiti-11169	57	19	risk	risk	NOUN
aiti-11169	57	20	of	of	ADP
aiti-11169	57	21	spectral	spectral	ADJ
aiti-11169	57	22	leakage	leakage	NOUN
aiti-11169	57	23	caused	cause	VERB
aiti-11169	57	24	by	by	ADP
aiti-11169	57	25	signal	signal	ADJ
aiti-11169	57	26	decomposition	decomposition	NOUN
aiti-11169	57	27	[	[	X
aiti-11169	57	28	13	13	NUM
aiti-11169	57	29	]	]	PUNCT
aiti-11169	57	30	.	.	PUNCT
aiti-11169	58	1	advances	advance	NOUN
aiti-11169	58	2	in	in	ADP
aiti-11169	58	3	technology	technology	NOUN
aiti-11169	58	4	innovation	innovation	NOUN
aiti-11169	58	5	,	,	PUNCT
aiti-11169	58	6	vol	vol	NOUN
aiti-11169	58	7	.	.	PROPN
aiti-11169	58	8	8	8	NUM
aiti-11169	58	9	,	,	PUNCT
aiti-11169	58	10	no	no	INTJ
aiti-11169	58	11	.	.	NOUN
aiti-11169	58	12	3	3	NUM
aiti-11169	58	13	,	,	PUNCT
aiti-11169	58	14	2023	2023	NUM
aiti-11169	58	15	,	,	PUNCT
aiti-11169	58	16	pp	pp	ADJ
aiti-11169	58	17	.	.	PUNCT
aiti-11169	59	1	163	163	NUM
aiti-11169	59	2	-	-	SYM
aiti-11169	59	3	176	176	NUM
aiti-11169	59	4	165	165	NUM
aiti-11169	59	5	time	time	NOUN
aiti-11169	59	6	-	-	PUNCT
aiti-11169	59	7	domain	domain	NOUN
aiti-11169	59	8	feature	feature	NOUN
aiti-11169	59	9	selection	selection	NOUN
aiti-11169	59	10	is	be	AUX
aiti-11169	59	11	essential	essential	ADJ
aiti-11169	59	12	for	for	ADP
aiti-11169	59	13	base	base	ADJ
aiti-11169	59	14	feature	feature	NOUN
aiti-11169	59	15	extraction	extraction	NOUN
aiti-11169	59	16	.	.	PUNCT
aiti-11169	60	1	the	the	DET
aiti-11169	60	2	number	number	NOUN
aiti-11169	60	3	of	of	ADP
aiti-11169	60	4	features	feature	NOUN
aiti-11169	60	5	needs	need	VERB
aiti-11169	60	6	to	to	PART
aiti-11169	60	7	be	be	AUX
aiti-11169	60	8	carefully	carefully	ADV
aiti-11169	60	9	considered	consider	VERB
aiti-11169	60	10	:	:	PUNCT
aiti-11169	60	11	a	a	DET
aiti-11169	60	12	small	small	ADJ
aiti-11169	60	13	number	number	NOUN
aiti-11169	60	14	of	of	ADP
aiti-11169	60	15	features	feature	NOUN
aiti-11169	60	16	limits	limit	VERB
aiti-11169	60	17	the	the	DET
aiti-11169	60	18	growth	growth	NOUN
aiti-11169	60	19	of	of	ADP
aiti-11169	60	20	the	the	DET
aiti-11169	60	21	root	root	NOUN
aiti-11169	60	22	system	system	NOUN
aiti-11169	60	23	,	,	PUNCT
aiti-11169	60	24	while	while	SCONJ
aiti-11169	60	25	a	a	DET
aiti-11169	60	26	large	large	ADJ
aiti-11169	60	27	number	number	NOUN
aiti-11169	60	28	of	of	ADP
aiti-11169	60	29	features	feature	NOUN
aiti-11169	60	30	may	may	AUX
aiti-11169	60	31	adversely	adversely	ADV
aiti-11169	60	32	affect	affect	VERB
aiti-11169	60	33	classifier	classifier	ADJ
aiti-11169	60	34	performance	performance	NOUN
aiti-11169	60	35	[	[	X
aiti-11169	60	36	14	14	NUM
aiti-11169	60	37	]	]	PUNCT
aiti-11169	60	38	.	.	PUNCT
aiti-11169	61	1	for	for	ADP
aiti-11169	61	2	the	the	DET
aiti-11169	61	3	base	base	NOUN
aiti-11169	61	4	features	feature	NOUN
aiti-11169	61	5	,	,	PUNCT
aiti-11169	61	6	this	this	DET
aiti-11169	61	7	study	study	NOUN
aiti-11169	61	8	selected	select	VERB
aiti-11169	61	9	12	12	NUM
aiti-11169	61	10	features	feature	NOUN
aiti-11169	61	11	that	that	PRON
aiti-11169	61	12	have	have	VERB
aiti-11169	61	13	relatively	relatively	ADV
aiti-11169	61	14	low	low	ADJ
aiti-11169	61	15	computational	computational	ADJ
aiti-11169	61	16	complexity	complexity	NOUN
aiti-11169	61	17	and	and	CCONJ
aiti-11169	61	18	have	have	AUX
aiti-11169	61	19	been	be	AUX
aiti-11169	61	20	successfully	successfully	ADV
aiti-11169	61	21	used	use	VERB
aiti-11169	61	22	for	for	ADP
aiti-11169	61	23	classification	classification	NOUN
aiti-11169	61	24	[	[	X
aiti-11169	61	25	15	15	NUM
aiti-11169	61	26	-	-	SYM
aiti-11169	61	27	16	16	NUM
aiti-11169	61	28	]	]	PUNCT
aiti-11169	61	29	.	.	PUNCT
aiti-11169	62	1	the	the	DET
aiti-11169	62	2	definitions	definition	NOUN
aiti-11169	62	3	of	of	ADP
aiti-11169	62	4	the	the	DET
aiti-11169	62	5	base	base	NOUN
aiti-11169	62	6	features	feature	NOUN
aiti-11169	62	7	are	be	AUX
aiti-11169	62	8	listed	list	VERB
aiti-11169	62	9	in	in	ADP
aiti-11169	62	10	table	table	NOUN
aiti-11169	62	11	1	1	NUM
aiti-11169	62	12	,	,	PUNCT
aiti-11169	62	13	which	which	PRON
aiti-11169	62	14	�	�	PROPN
aiti-11169	62	15	�	�	PROPN
aiti-11169	62	16	represents	represent	VERB
aiti-11169	62	17	the	the	DET
aiti-11169	62	18	1d	1d	NUM
aiti-11169	62	19	biomedical	biomedical	ADJ
aiti-11169	62	20	signal	signal	NOUN
aiti-11169	62	21	in	in	ADP
aiti-11169	62	22	the	the	DET
aiti-11169	62	23	segment	segment	NOUN
aiti-11169	62	24	�	�	NOUN
aiti-11169	62	25	̅	̅	NOUN
aiti-11169	62	26	,	,	PUNCT
aiti-11169	62	27	n	n	X
aiti-11169	62	28	is	be	AUX
aiti-11169	62	29	the	the	DET
aiti-11169	62	30	length	length	NOUN
aiti-11169	62	31	of	of	ADP
aiti-11169	62	32	the	the	DET
aiti-11169	62	33	signal	signal	NOUN
aiti-11169	62	34	,	,	PUNCT
aiti-11169	62	35	and	and	CCONJ
aiti-11169	62	36	�	�	NOUN
aiti-11169	62	37	̅	̅	NOUN
aiti-11169	62	38	is	be	AUX
aiti-11169	62	39	the	the	DET
aiti-11169	62	40	average	average	ADJ
aiti-11169	62	41	value	value	NOUN
aiti-11169	62	42	of	of	ADP
aiti-11169	62	43	�	�	PROPN
aiti-11169	62	44	�	�	PROPN
aiti-11169	62	45	.	.	PUNCT
aiti-11169	62	46	table	table	NOUN
aiti-11169	62	47	1	1	NUM
aiti-11169	62	48	time	time	NOUN
aiti-11169	62	49	-	-	PUNCT
aiti-11169	62	50	domain	domain	NOUN
aiti-11169	62	51	features	feature	NOUN
aiti-11169	62	52	base	base	NOUN
aiti-11169	62	53	feature	feature	NOUN
aiti-11169	62	54	definition	definition	NOUN
aiti-11169	62	55	standard	standard	ADJ
aiti-11169	62	56	deviation	deviation	NOUN
aiti-11169	62	57	(	(	PUNCT
aiti-11169	62	58	std	std	NOUN
aiti-11169	62	59	)	)	PUNCT
aiti-11169	62	60	2	2	NUM
aiti-11169	62	61	1	1	NUM
aiti-11169	62	62	1	1	NUM
aiti-11169	62	63	1	1	NUM
aiti-11169	62	64	1	1	NUM
aiti-11169	62	65	std	std	NOUN
aiti-11169	62	66	n	n	NOUN
aiti-11169	63	1	n	n	NOUN
aiti-11169	64	1	i	i	PRON
aiti-11169	65	1	i	i	PRON
aiti-11169	66	1	i	i	PRON
aiti-11169	67	1	i	i	VERB
aiti-11169	67	2	x	x	VERB
aiti-11169	68	1	x	x	NOUN
aiti-11169	68	2	n	n	PRON
aiti-11169	68	3	n=	n=	ADJ
aiti-11169	68	4	=	=	PUNCT
aiti-11169	68	5	=	=	SYM
aiti-11169	68	6	−	−	NOUN
aiti-11169	68	7			NUM
aiti-11169	68	8	variance	variance	NOUN
aiti-11169	68	9	of	of	ADP
aiti-11169	68	10	signal	signal	NOUN
aiti-11169	68	11	(	(	PUNCT
aiti-11169	68	12	var	var	NOUN
aiti-11169	68	13	)	)	PUNCT
aiti-11169	68	14	2	2	NUM
aiti-11169	68	15	1	1	NUM
aiti-11169	68	16	1	1	NUM
aiti-11169	68	17	var	var	NOUN
aiti-11169	68	18	1	1	NUM
aiti-11169	68	19	n	n	CCONJ
aiti-11169	68	20	n	n	CCONJ
aiti-11169	68	21	n	n	NOUN
aiti-11169	68	22	x	x	NOUN
aiti-11169	68	23	n	n	NOUN
aiti-11169	68	24	=	=	SYM
aiti-11169	68	25	=	=	SYM
aiti-11169	68	26	−	−	PROPN
aiti-11169	68	27			X
aiti-11169	68	28	root	root	NOUN
aiti-11169	68	29	mean	mean	ADJ
aiti-11169	68	30	square	square	PROPN
aiti-11169	68	31	(	(	PUNCT
aiti-11169	68	32	rms	rm	NOUN
aiti-11169	68	33	)	)	PUNCT
aiti-11169	68	34	2	2	NUM
aiti-11169	68	35	1	1	NUM
aiti-11169	68	36	1	1	NUM
aiti-11169	68	37	rms	rm	NOUN
aiti-11169	68	38	n	n	CCONJ
aiti-11169	68	39	n	n	CCONJ
aiti-11169	68	40	n	n	NOUN
aiti-11169	68	41	x	x	NOUN
aiti-11169	68	42	n	n	NOUN
aiti-11169	68	43	=	=	SYM
aiti-11169	68	44	=	=	SYM
aiti-11169	68	45			PROPN
aiti-11169	68	46	skewness	skewness	NOUN
aiti-11169	68	47	(	(	PUNCT
aiti-11169	68	48	skw	skw	PROPN
aiti-11169	68	49	)	)	PUNCT
aiti-11169	68	50	(	(	PUNCT
aiti-11169	68	51	)	)	PUNCT
aiti-11169	68	52	(	(	PUNCT
aiti-11169	68	53	)	)	PUNCT
aiti-11169	68	54	3	3	NUM
aiti-11169	68	55	2	2	NUM
aiti-11169	68	56	3	3	NUM
aiti-11169	68	57	2	2	NUM
aiti-11169	68	58	1	1	NUM
aiti-11169	68	59	1	1	NUM
aiti-11169	68	60	1	1	NUM
aiti-11169	68	61	1	1	NUM
aiti-11169	68	62	skw	skw	PROPN
aiti-11169	68	63	n	n	CCONJ
aiti-11169	68	64	n	n	CCONJ
aiti-11169	68	65	n	n	CCONJ
aiti-11169	68	66	n	n	CCONJ
aiti-11169	68	67	n	n	CCONJ
aiti-11169	68	68	n	n	NOUN
aiti-11169	68	69	x	x	NOUN
aiti-11169	68	70	x	x	PUNCT
aiti-11169	68	71	x	x	SYM
aiti-11169	68	72	x	x	SYM
aiti-11169	68	73	n	n	PRON
aiti-11169	68	74	n=	n=	ADJ
aiti-11169	68	75	=	=	SYM
aiti-11169	68	76			NOUN
aiti-11169	68	77			NOUN
aiti-11169	68	78	=	=	PUNCT
aiti-11169	69	1	−	−	PROPN
aiti-11169	70	1	−	−	PROPN
aiti-11169	70	2			PROPN
aiti-11169	70	3			PROPN
aiti-11169	70	4			PROPN
aiti-11169	70	5			X
aiti-11169	70	6			X
aiti-11169	70	7	kurtosis	kurtosis	VERB
aiti-11169	70	8	(	(	PUNCT
aiti-11169	70	9	kurt	kurt	PROPN
aiti-11169	70	10	)	)	PUNCT
aiti-11169	70	11	(	(	PUNCT
aiti-11169	70	12	)	)	PUNCT
aiti-11169	70	13	(	(	PUNCT
aiti-11169	70	14	)	)	PUNCT
aiti-11169	70	15	2	2	NUM
aiti-11169	70	16	4	4	NUM
aiti-11169	70	17	2	2	NUM
aiti-11169	70	18	1	1	NUM
aiti-11169	70	19	1	1	NUM
aiti-11169	70	20	1	1	NUM
aiti-11169	70	21	1	1	NUM
aiti-11169	70	22	kurt	kurt	NOUN
aiti-11169	70	23	=	=	PUNCT
aiti-11169	70	24	=	=	PUNCT
aiti-11169	70	25			NOUN
aiti-11169	70	26			NOUN
aiti-11169	70	27	=	=	PUNCT
aiti-11169	71	1	−	−	PROPN
aiti-11169	71	2	×	×	NOUN
aiti-11169	71	3	−	−	PROPN
aiti-11169	71	4			PROPN
aiti-11169	71	5			PROPN
aiti-11169	71	6			PROPN
aiti-11169	71	7			X
aiti-11169	71	8			X
aiti-11169	71	9	n	n	CCONJ
aiti-11169	71	10	n	n	CCONJ
aiti-11169	71	11	n	n	CCONJ
aiti-11169	71	12	n	n	CCONJ
aiti-11169	71	13	n	n	CCONJ
aiti-11169	71	14	n	n	NOUN
aiti-11169	71	15	x	x	NOUN
aiti-11169	71	16	x	x	PUNCT
aiti-11169	71	17	x	x	SYM
aiti-11169	71	18	x	x	SYM
aiti-11169	71	19	n	n	CCONJ
aiti-11169	71	20	n	n	ADV
aiti-11169	71	21	mean	mean	VERB
aiti-11169	71	22	absolute	absolute	ADJ
aiti-11169	71	23	value	value	NOUN
aiti-11169	71	24	(	(	PUNCT
aiti-11169	71	25	mav	mav	PROPN
aiti-11169	71	26	)	)	PUNCT
aiti-11169	71	27	1	1	NUM
aiti-11169	71	28	1	1	NUM
aiti-11169	71	29	mav	mav	PROPN
aiti-11169	71	30	n	n	CCONJ
aiti-11169	71	31	n	n	CCONJ
aiti-11169	71	32	n	n	NOUN
aiti-11169	71	33	x	x	NOUN
aiti-11169	71	34	n	n	NOUN
aiti-11169	71	35	=	=	SYM
aiti-11169	71	36	=	=	SYM
aiti-11169	71	37			X
aiti-11169	71	38	zero	zero	NUM
aiti-11169	71	39	crossing	crossing	NOUN
aiti-11169	71	40	(	(	PUNCT
aiti-11169	71	41	zc	zc	NOUN
aiti-11169	71	42	)	)	PUNCT
aiti-11169	71	43	(	(	PUNCT
aiti-11169	71	44	)	)	PUNCT
aiti-11169	71	45	1	1	NUM
aiti-11169	71	46	1	1	NUM
aiti-11169	71	47	1	1	NUM
aiti-11169	71	48	1	1	NUM
aiti-11169	71	49	zc	zc	NOUN
aiti-11169	71	50	sgn	sgn	NOUN
aiti-11169	71	51	threshold	threshold	NOUN
aiti-11169	71	52	n	n	CCONJ
aiti-11169	71	53	n	n	CCONJ
aiti-11169	71	54	n	n	CCONJ
aiti-11169	71	55	n	n	CCONJ
aiti-11169	71	56	n	n	CCONJ
aiti-11169	71	57	n	n	NOUN
aiti-11169	71	58	x	x	NOUN
aiti-11169	71	59	x	x	PUNCT
aiti-11169	71	60	x	x	PUNCT
aiti-11169	71	61	x	x	X
aiti-11169	71	62	−	−	PROPN
aiti-11169	72	1	+	+	CCONJ
aiti-11169	72	2	+	+	NUM
aiti-11169	72	3	=	=	SYM
aiti-11169	72	4	=	=	SYM
aiti-11169	72	5			NUM
aiti-11169	72	6	×	×	NOUN
aiti-11169	72	7	∩	∩	NOUN
aiti-11169	72	8	−	−	PROPN
aiti-11169	72	9	≥	≥	NOUN
aiti-11169	72	10			X
aiti-11169	72	11			PROPN
aiti-11169	72	12	slope	slope	NOUN
aiti-11169	72	13	sign	sign	NOUN
aiti-11169	72	14	change	change	NOUN
aiti-11169	72	15	(	(	PUNCT
aiti-11169	72	16	ssc	ssc	NOUN
aiti-11169	72	17	)	)	PUNCT
aiti-11169	72	18	(	(	PUNCT
aiti-11169	72	19	)	)	PUNCT
aiti-11169	72	20	(	(	PUNCT
aiti-11169	72	21	)	)	PUNCT
aiti-11169	72	22	{	{	PUNCT
aiti-11169	72	23	}	}	PUNCT
aiti-11169	72	24	(	(	PUNCT
aiti-11169	72	25	)	)	PUNCT
aiti-11169	72	26	1	1	NUM
aiti-11169	72	27	1	1	NUM
aiti-11169	72	28	1	1	NUM
aiti-11169	72	29	2	2	NUM
aiti-11169	72	30	1	1	NUM
aiti-11169	72	31	,	,	PUNCT
aiti-11169	72	32	if	if	SCONJ
aiti-11169	72	33	threshold	threshold	NOUN
aiti-11169	72	34	ssc	ssc	NOUN
aiti-11169	72	35	,	,	PUNCT
aiti-11169	72	36	0	0	NUM
aiti-11169	72	37	,	,	PUNCT
aiti-11169	72	38	otherwise	otherwise	ADV
aiti-11169	72	39	−	−	ADP
aiti-11169	72	40	−	−	PROPN
aiti-11169	73	1	+	+	CCONJ
aiti-11169	73	2	=	=	SYM
aiti-11169	74	1	≥	≥	ADJ
aiti-11169	74	2	=	=	PUNCT
aiti-11169	75	1	−	−	PROPN
aiti-11169	75	2	×	×	NOUN
aiti-11169	75	3	−	−	PROPN
aiti-11169	75	4	=	=	SYM
aiti-11169	75	5			PROPN
aiti-11169	75	6			NOUN
aiti-11169	75	7			PROPN
aiti-11169	75	8			PROPN
aiti-11169	75	9			PROPN
aiti-11169	75	10			PROPN
aiti-11169	75	11	n	n	CCONJ
aiti-11169	75	12	n	n	CCONJ
aiti-11169	75	13	n	n	CCONJ
aiti-11169	75	14	n	n	CCONJ
aiti-11169	75	15	n	n	CCONJ
aiti-11169	75	16	n	n	NOUN
aiti-11169	75	17	x	x	SYM
aiti-11169	75	18	f	f	NOUN
aiti-11169	75	19	x	x	PUNCT
aiti-11169	75	20	x	x	PUNCT
aiti-11169	75	21	x	x	PUNCT
aiti-11169	75	22	x	x	SYM
aiti-11169	75	23	f	f	X
aiti-11169	75	24	x	x	X
aiti-11169	75	25	willison	willison	NOUN
aiti-11169	75	26	amplitude	amplitude	NOUN
aiti-11169	75	27	(	(	PUNCT
aiti-11169	75	28	wamp	wamp	NOUN
aiti-11169	75	29	)	)	PUNCT
aiti-11169	75	30	(	(	PUNCT
aiti-11169	75	31	)	)	PUNCT
aiti-11169	75	32	(	(	PUNCT
aiti-11169	75	33	)	)	PUNCT
aiti-11169	75	34	1	1	NUM
aiti-11169	75	35	1	1	NUM
aiti-11169	75	36	1	1	NUM
aiti-11169	75	37	1	1	NUM
aiti-11169	75	38	,	,	PUNCT
aiti-11169	75	39	if	if	SCONJ
aiti-11169	75	40	threshold	threshold	NOUN
aiti-11169	75	41	wamp	wamp	NOUN
aiti-11169	75	42	,	,	PUNCT
aiti-11169	75	43	0	0	NUM
aiti-11169	75	44	,	,	PUNCT
aiti-11169	75	45	otherwise	otherwise	ADV
aiti-11169	75	46	−	−	VERB
aiti-11169	76	1	+	+	CCONJ
aiti-11169	76	2	=	=	SYM
aiti-11169	76	3	≥	≥	ADJ
aiti-11169	76	4	=	=	PUNCT
aiti-11169	76	5	−	−	PROPN
aiti-11169	77	1	=	=	PUNCT
aiti-11169	77	2			NUM
aiti-11169	77	3			INTJ
aiti-11169	77	4			X
aiti-11169	77	5	n	n	CCONJ
aiti-11169	77	6	n	n	CCONJ
aiti-11169	77	7	n	n	CCONJ
aiti-11169	77	8	n	n	NOUN
aiti-11169	77	9	x	x	SYM
aiti-11169	77	10	f	f	NOUN
aiti-11169	77	11	x	x	PUNCT
aiti-11169	77	12	x	x	SYM
aiti-11169	77	13	f	f	NOUN
aiti-11169	77	14	x	x	SYM
aiti-11169	77	15	simple	simple	ADJ
aiti-11169	77	16	sign	sign	NOUN
aiti-11169	77	17	integral	integral	ADJ
aiti-11169	77	18	(	(	PUNCT
aiti-11169	77	19	ssi	ssi	NOUN
aiti-11169	77	20	)	)	PUNCT
aiti-11169	77	21	2	2	NUM
aiti-11169	77	22	1	1	NUM
aiti-11169	77	23	ssi	ssi	PROPN
aiti-11169	77	24	n	n	CCONJ
aiti-11169	77	25	n	n	CCONJ
aiti-11169	77	26	n	n	NOUN
aiti-11169	77	27	x	x	X
aiti-11169	77	28	=	=	SYM
aiti-11169	77	29	=	=	ADJ
aiti-11169	77	30			NOUN
aiti-11169	77	31	nonlinear	nonlinear	ADJ
aiti-11169	77	32	energy	energy	NOUN
aiti-11169	77	33	(	(	PUNCT
aiti-11169	77	34	nle	nle	PROPN
aiti-11169	77	35	)	)	PUNCT
aiti-11169	77	36	(	(	PUNCT
aiti-11169	77	37	)	)	PUNCT
aiti-11169	77	38	(	(	PUNCT
aiti-11169	77	39	)	)	PUNCT
aiti-11169	77	40	(	(	PUNCT
aiti-11169	77	41	)	)	PUNCT
aiti-11169	77	42	(	(	PUNCT
aiti-11169	77	43	)	)	PUNCT
aiti-11169	77	44	1	1	NUM
aiti-11169	77	45	2	2	NUM
aiti-11169	77	46	2	2	NUM
aiti-11169	77	47	1	1	NUM
aiti-11169	77	48	nle	nle	NOUN
aiti-11169	77	49	1	1	NUM
aiti-11169	77	50	1	1	NUM
aiti-11169	77	51	2	2	NUM
aiti-11169	77	52	−	−	NOUN
aiti-11169	77	53	=	=	SYM
aiti-11169	77	54	=	=	PUNCT
aiti-11169	78	1	−	−	PROPN
aiti-11169	79	1	−	−	PROPN
aiti-11169	80	1	+	+	CCONJ
aiti-11169	80	2	−	−	X
aiti-11169	80	3			X
aiti-11169	80	4	n	n	CCONJ
aiti-11169	80	5	n	n	CCONJ
aiti-11169	80	6	n	n	CCONJ
aiti-11169	80	7	n	n	CCONJ
aiti-11169	80	8	n	n	NOUN
aiti-11169	80	9	i	i	NOUN
aiti-11169	80	10	x	x	PUNCT
aiti-11169	81	1	x	x	PUNCT
aiti-11169	82	1	i	i	NOUN
aiti-11169	82	2	x	x	VERB
aiti-11169	83	1	i	i	NOUN
aiti-11169	83	2	x	x	VERB
aiti-11169	84	1	i	i	PRON
aiti-11169	84	2	n	n	VERB
aiti-11169	84	3	waveform	waveform	VERB
aiti-11169	84	4	length	length	NOUN
aiti-11169	84	5	(	(	PUNCT
aiti-11169	84	6	wl	wl	PROPN
aiti-11169	84	7	)	)	PUNCT
aiti-11169	84	8	1	1	NUM
aiti-11169	84	9	1	1	NUM
aiti-11169	84	10	1	1	NUM
aiti-11169	84	11	wl	wl	NOUN
aiti-11169	84	12	n	n	ADP
aiti-11169	84	13	n	n	CCONJ
aiti-11169	84	14	n	n	CCONJ
aiti-11169	84	15	n	n	NOUN
aiti-11169	84	16	x	x	NOUN
aiti-11169	84	17	x	x	X
aiti-11169	84	18	−	−	PROPN
aiti-11169	85	1	+	+	NOUN
aiti-11169	85	2	=	=	SYM
aiti-11169	85	3	=	=	SYM
aiti-11169	85	4	−	−	NOUN
aiti-11169	85	5	among	among	ADP
aiti-11169	85	6	the	the	DET
aiti-11169	85	7	12	12	NUM
aiti-11169	85	8	features	feature	NOUN
aiti-11169	85	9	comprising	comprise	VERB
aiti-11169	85	10	the	the	DET
aiti-11169	85	11	base	base	NOUN
aiti-11169	85	12	features	feature	NOUN
aiti-11169	85	13	set	set	VERB
aiti-11169	85	14	,	,	PUNCT
aiti-11169	85	15	the	the	DET
aiti-11169	85	16	statistical	statistical	ADJ
aiti-11169	85	17	features	feature	NOUN
aiti-11169	85	18	are	be	AUX
aiti-11169	85	19	the	the	DET
aiti-11169	85	20	most	most	ADV
aiti-11169	85	21	basic	basic	ADJ
aiti-11169	85	22	,	,	PUNCT
aiti-11169	85	23	including	include	VERB
aiti-11169	85	24	var	var	NOUN
aiti-11169	85	25	,	,	PUNCT
aiti-11169	85	26	std	std	NOUN
aiti-11169	85	27	,	,	PUNCT
aiti-11169	85	28	rms	rm	NOUN
aiti-11169	85	29	,	,	PUNCT
aiti-11169	85	30	skw	skw	PROPN
aiti-11169	85	31	,	,	PUNCT
aiti-11169	85	32	kurt	kurt	NOUN
aiti-11169	85	33	,	,	PUNCT
aiti-11169	85	34	and	and	CCONJ
aiti-11169	85	35	the	the	DET
aiti-11169	85	36	mav	mav	PROPN
aiti-11169	85	37	,	,	PUNCT
aiti-11169	85	38	which	which	PRON
aiti-11169	85	39	is	be	AUX
aiti-11169	85	40	similar	similar	ADJ
aiti-11169	85	41	to	to	ADP
aiti-11169	85	42	the	the	DET
aiti-11169	85	43	average	average	ADJ
aiti-11169	85	44	rectified	rectified	ADJ
aiti-11169	85	45	value	value	NOUN
aiti-11169	85	46	.	.	PUNCT
aiti-11169	86	1	three	three	NUM
aiti-11169	86	2	features	feature	NOUN
aiti-11169	86	3	related	relate	VERB
aiti-11169	86	4	to	to	ADP
aiti-11169	86	5	frequency	frequency	NOUN
aiti-11169	86	6	are	be	AUX
aiti-11169	86	7	also	also	ADV
aiti-11169	86	8	included	include	VERB
aiti-11169	86	9	:	:	PUNCT
aiti-11169	86	10	zc	zc	NOUN
aiti-11169	86	11	,	,	PUNCT
aiti-11169	86	12	i.e.	i.e.	X
aiti-11169	86	13	,	,	PUNCT
aiti-11169	86	14	the	the	DET
aiti-11169	86	15	amplitude	amplitude	NOUN
aiti-11169	86	16	value	value	NOUN
aiti-11169	86	17	of	of	ADP
aiti-11169	86	18	a	a	DET
aiti-11169	86	19	signal	signal	NOUN
aiti-11169	86	20	that	that	SCONJ
aiti-11169	86	21	crosses	cross	VERB
aiti-11169	86	22	the	the	DET
aiti-11169	86	23	zero	zero	NUM
aiti-11169	86	24	-	-	PUNCT
aiti-11169	86	25	amplitude	amplitude	NOUN
aiti-11169	86	26	axis	axis	NOUN
aiti-11169	86	27	;	;	PUNCT
aiti-11169	86	28	ssc	ssc	NOUN
aiti-11169	86	29	,	,	PUNCT
aiti-11169	86	30	i.e.	i.e.	X
aiti-11169	86	31	,	,	PUNCT
aiti-11169	86	32	the	the	DET
aiti-11169	86	33	frequency	frequency	NOUN
aiti-11169	86	34	of	of	ADP
aiti-11169	86	35	a	a	DET
aiti-11169	86	36	signal	signal	NOUN
aiti-11169	86	37	within	within	ADP
aiti-11169	86	38	the	the	DET
aiti-11169	86	39	time	time	NOUN
aiti-11169	86	40	domain	domain	NOUN
aiti-11169	86	41	;	;	PUNCT
aiti-11169	86	42	and	and	CCONJ
aiti-11169	86	43	the	the	DET
aiti-11169	86	44	wamp	wamp	NOUN
aiti-11169	86	45	,	,	PUNCT
aiti-11169	86	46	i.e.	i.e.	X
aiti-11169	86	47	,	,	PUNCT
aiti-11169	86	48	the	the	DET
aiti-11169	86	49	sum	sum	NOUN
aiti-11169	86	50	difference	difference	NOUN
aiti-11169	86	51	between	between	ADP
aiti-11169	86	52	the	the	DET
aiti-11169	86	53	signal	signal	ADJ
aiti-11169	86	54	amplitudes	amplitude	NOUN
aiti-11169	86	55	for	for	ADP
aiti-11169	86	56	two	two	NUM
aiti-11169	86	57	adjacent	adjacent	ADJ
aiti-11169	86	58	samples	sample	NOUN
aiti-11169	86	59	.	.	PUNCT
aiti-11169	87	1	the	the	DET
aiti-11169	87	2	last	last	ADJ
aiti-11169	87	3	three	three	NUM
aiti-11169	87	4	features	feature	NOUN
aiti-11169	87	5	indicate	indicate	VERB
aiti-11169	87	6	energy	energy	NOUN
aiti-11169	87	7	and	and	CCONJ
aiti-11169	87	8	complexity	complexity	NOUN
aiti-11169	87	9	:	:	PUNCT
aiti-11169	87	10	ssi	ssi	PROPN
aiti-11169	87	11	represents	represent	VERB
aiti-11169	87	12	signal	signal	ADJ
aiti-11169	87	13	segment	segment	NOUN
aiti-11169	87	14	energy	energy	NOUN
aiti-11169	87	15	,	,	PUNCT
aiti-11169	87	16	nle	nle	PROPN
aiti-11169	87	17	approximates	approximate	VERB
aiti-11169	87	18	signal	signal	VERB
aiti-11169	87	19	amplitude	amplitude	NOUN
aiti-11169	87	20	energy	energy	NOUN
aiti-11169	87	21	,	,	PUNCT
aiti-11169	87	22	and	and	CCONJ
aiti-11169	87	23	wl	wl	PROPN
aiti-11169	87	24	measures	measure	NOUN
aiti-11169	87	25	signal	signal	VERB
aiti-11169	87	26	complexity	complexity	NOUN
aiti-11169	87	27	.	.	PUNCT
aiti-11169	88	1	these	these	DET
aiti-11169	88	2	twelve	twelve	NUM
aiti-11169	88	3	base	base	NOUN
aiti-11169	88	4	features	feature	NOUN
aiti-11169	88	5	collectively	collectively	ADV
aiti-11169	88	6	represent	represent	VERB
aiti-11169	88	7	a	a	DET
aiti-11169	88	8	1d	1d	NUM
aiti-11169	88	9	biomedical	biomedical	ADJ
aiti-11169	88	10	signal	signal	NOUN
aiti-11169	88	11	series	series	NOUN
aiti-11169	88	12	.	.	PUNCT
aiti-11169	89	1	the	the	DET
aiti-11169	89	2	new	new	ADJ
aiti-11169	89	3	features	feature	NOUN
aiti-11169	89	4	derived	derive	VERB
aiti-11169	89	5	from	from	ADP
aiti-11169	89	6	these	these	DET
aiti-11169	89	7	representative	representative	ADJ
aiti-11169	89	8	values	value	NOUN
aiti-11169	89	9	closely	closely	ADV
aiti-11169	89	10	approximate	approximate	VERB
aiti-11169	89	11	the	the	DET
aiti-11169	89	12	actual	actual	ADJ
aiti-11169	89	13	measurement	measurement	NOUN
aiti-11169	89	14	values	value	NOUN
aiti-11169	89	15	.	.	PUNCT
aiti-11169	90	1	2.2	2.2	NUM
aiti-11169	90	2	.	.	PUNCT
aiti-11169	90	3	feature	feature	NOUN
aiti-11169	90	4	sorting	sort	VERB
aiti-11169	90	5	for	for	ADP
aiti-11169	90	6	the	the	DET
aiti-11169	90	7	development	development	NOUN
aiti-11169	90	8	of	of	ADP
aiti-11169	90	9	a	a	DET
aiti-11169	90	10	root	root	NOUN
aiti-11169	90	11	system	system	NOUN
aiti-11169	90	12	,	,	PUNCT
aiti-11169	90	13	the	the	DET
aiti-11169	90	14	site	site	NOUN
aiti-11169	90	15	where	where	SCONJ
aiti-11169	90	16	the	the	DET
aiti-11169	90	17	seed	seed	NOUN
aiti-11169	90	18	is	be	AUX
aiti-11169	90	19	planted	plant	VERB
aiti-11169	90	20	requires	require	VERB
aiti-11169	90	21	nutritious	nutritious	ADJ
aiti-11169	90	22	soil	soil	NOUN
aiti-11169	90	23	.	.	PUNCT
aiti-11169	91	1	in	in	ADP
aiti-11169	91	2	this	this	DET
aiti-11169	91	3	study	study	NOUN
aiti-11169	91	4	,	,	PUNCT
aiti-11169	91	5	the	the	DET
aiti-11169	91	6	base	base	NOUN
aiti-11169	91	7	features	feature	NOUN
aiti-11169	91	8	were	be	AUX
aiti-11169	91	9	modeled	model	VERB
aiti-11169	91	10	based	base	VERB
aiti-11169	91	11	on	on	ADP
aiti-11169	91	12	the	the	DET
aiti-11169	91	13	distribution	distribution	NOUN
aiti-11169	91	14	of	of	ADP
aiti-11169	91	15	nutrients	nutrient	NOUN
aiti-11169	91	16	.	.	PUNCT
aiti-11169	92	1	each	each	DET
aiti-11169	92	2	element	element	PROPN
aiti-11169	92	3	�	�	PROPN
aiti-11169	92	4	�	�	PROPN
aiti-11169	92	5	,	,	PUNCT
aiti-11169	92	6	�	�	PROPN
aiti-11169	92	7	of	of	ADP
aiti-11169	92	8	the	the	DET
aiti-11169	92	9	base	base	NOUN
aiti-11169	92	10	feature	feature	NOUN
aiti-11169	92	11	set	set	VERB
aiti-11169	92	12	�	�	PROPN
aiti-11169	92	13	�	�	PROPN
aiti-11169	92	14	×	×	NOUN
aiti-11169	92	15	�	�	PROPN
aiti-11169	92	16	〈	〈	NOUN
aiti-11169	92	17	〉	〉	NOUN
aiti-11169	92	18	must	must	AUX
aiti-11169	92	19	be	be	AUX
aiti-11169	92	20	sorted	sort	VERB
aiti-11169	92	21	.	.	PUNCT
aiti-11169	93	1	first	first	ADV
aiti-11169	93	2	,	,	PUNCT
aiti-11169	93	3	the	the	DET
aiti-11169	93	4	dataset	dataset	NOUN
aiti-11169	93	5	must	must	AUX
aiti-11169	93	6	be	be	AUX
aiti-11169	93	7	normalized	normalize	VERB
aiti-11169	93	8	using	use	VERB
aiti-11169	93	9	a	a	DET
aiti-11169	93	10	scaling	scale	VERB
aiti-11169	93	11	technique	technique	NOUN
aiti-11169	93	12	during	during	ADP
aiti-11169	93	13	the	the	DET
aiti-11169	93	14	preprocessing	preprocessing	NOUN
aiti-11169	93	15	stage	stage	NOUN
aiti-11169	93	16	to	to	PART
aiti-11169	93	17	eliminate	eliminate	VERB
aiti-11169	93	18	scale	scale	NOUN
aiti-11169	93	19	advances	advance	NOUN
aiti-11169	93	20	in	in	ADP
aiti-11169	93	21	technology	technology	NOUN
aiti-11169	93	22	innovation	innovation	NOUN
aiti-11169	93	23	,	,	PUNCT
aiti-11169	93	24	vol	vol	NOUN
aiti-11169	93	25	.	.	PROPN
aiti-11169	93	26	8	8	NUM
aiti-11169	93	27	,	,	PUNCT
aiti-11169	93	28	no	no	INTJ
aiti-11169	93	29	.	.	NOUN
aiti-11169	93	30	3	3	NUM
aiti-11169	93	31	,	,	PUNCT
aiti-11169	93	32	2023	2023	NUM
aiti-11169	93	33	,	,	PUNCT
aiti-11169	93	34	pp	pp	ADJ
aiti-11169	93	35	.	.	PUNCT
aiti-11169	94	1	163	163	NUM
aiti-11169	94	2	-	-	SYM
aiti-11169	94	3	176	176	NUM
aiti-11169	94	4	166	166	NUM
aiti-11169	94	5	differences	difference	NOUN
aiti-11169	94	6	among	among	ADP
aiti-11169	94	7	various	various	ADJ
aiti-11169	94	8	elements	element	NOUN
aiti-11169	94	9	while	while	SCONJ
aiti-11169	94	10	sorting	sort	VERB
aiti-11169	94	11	.	.	PUNCT
aiti-11169	95	1	min	min	ADJ
aiti-11169	95	2	-	-	PUNCT
aiti-11169	95	3	max	max	PROPN
aiti-11169	95	4	normalization	normalization	NOUN
aiti-11169	95	5	was	be	AUX
aiti-11169	95	6	used	use	VERB
aiti-11169	95	7	to	to	PART
aiti-11169	95	8	scale	scale	VERB
aiti-11169	95	9	the	the	DET
aiti-11169	95	10	data	datum	NOUN
aiti-11169	95	11	within	within	ADP
aiti-11169	95	12	the	the	DET
aiti-11169	95	13	range	range	NOUN
aiti-11169	95	14	[	[	X
aiti-11169	95	15	0,1	0,1	NUM
aiti-11169	95	16	]	]	PUNCT
aiti-11169	95	17	and	and	CCONJ
aiti-11169	95	18	maintain	maintain	VERB
aiti-11169	95	19	the	the	DET
aiti-11169	95	20	relationships	relationship	NOUN
aiti-11169	95	21	that	that	PRON
aiti-11169	95	22	existed	exist	VERB
aiti-11169	95	23	among	among	ADP
aiti-11169	95	24	the	the	DET
aiti-11169	95	25	original	original	ADJ
aiti-11169	95	26	data	datum	NOUN
aiti-11169	95	27	[	[	X
aiti-11169	95	28	17	17	NUM
aiti-11169	95	29	]	]	PUNCT
aiti-11169	95	30	.	.	PUNCT
aiti-11169	96	1	the	the	DET
aiti-11169	96	2	min	min	PROPN
aiti-11169	96	3	-	-	ADJ
aiti-11169	96	4	max	max	PROPN
aiti-11169	96	5	normalization	normalization	NOUN
aiti-11169	96	6	based	base	VERB
aiti-11169	96	7	on	on	ADP
aiti-11169	96	8	the	the	DET
aiti-11169	96	9	feature	feature	NOUN
aiti-11169	96	10	set	set	VERB
aiti-11169	96	11	�	�	PROPN
aiti-11169	96	12	�	�	PROPN
aiti-11169	96	13	�	�	PROPN
aiti-11169	96	14	×	×	NOUN
aiti-11169	96	15	�	�	PROPN
aiti-11169	96	16	〈	〈	NOUN
aiti-11169	96	17	〉	〉	NOUN
aiti-11169	96	18	can	can	AUX
aiti-11169	96	19	be	be	AUX
aiti-11169	96	20	expressed	express	VERB
aiti-11169	96	21	as	as	ADP
aiti-11169	96	22	:	:	PUNCT
aiti-11169	96	23	,	,	PUNCT
aiti-11169	96	24	min	min	PROPN
aiti-11169	96	25	max	max	PROPN
aiti-11169	96	26	min	min	PROPN
aiti-11169	96	27	m	m	PROPN
aiti-11169	96	28	n	n	VERB
aiti-11169	96	29	m	m	PROPN
aiti-11169	96	30	n	n	PROPN
aiti-11169	96	31	b	b	PROPN
aiti-11169	96	32	b	b	PROPN
aiti-11169	96	33	b	b	PROPN
aiti-11169	96	34	b	b	PROPN
aiti-11169	96	35	×	×	NOUN
aiti-11169	96	36	−	−	PROPN
aiti-11169	96	37			NUM
aiti-11169	96	38			NUM
aiti-11169	96	39	=	=	SYM
aiti-11169	96	40			VERB
aiti-11169	96	41	−	−	PROPN
aiti-11169	96	42			PROPN
aiti-11169	96	43	ɺ	ɺ	PROPN
aiti-11169	96	44	β	β	X
aiti-11169	96	45	(	(	PUNCT
aiti-11169	96	46	1	1	NUM
aiti-11169	96	47	)	)	PUNCT
aiti-11169	96	48	where	where	SCONJ
aiti-11169	96	49	n	n	NOUN
aiti-11169	96	50	=	=	SYM
aiti-11169	96	51	1	1	NUM
aiti-11169	96	52	,	,	PUNCT
aiti-11169	96	53	2	2	NUM
aiti-11169	96	54	,	,	PUNCT
aiti-11169	96	55	…	…	PUNCT
aiti-11169	96	56	,	,	PUNCT
aiti-11169	96	57	12	12	NUM
aiti-11169	96	58	and	and	CCONJ
aiti-11169	96	59	m	m	VERB
aiti-11169	96	60	=	=	ADJ
aiti-11169	96	61	1	1	NUM
aiti-11169	96	62	,	,	PUNCT
aiti-11169	96	63	2	2	NUM
aiti-11169	96	64	,	,	PUNCT
aiti-11169	96	65	…	…	PUNCT
aiti-11169	96	66	,	,	PUNCT
aiti-11169	96	67	the	the	DET
aiti-11169	96	68	length	length	NOUN
aiti-11169	96	69	of	of	ADP
aiti-11169	96	70	�	�	PROPN
aiti-11169	96	71	�	�	PROPN
aiti-11169	96	72	.	.	PUNCT
aiti-11169	97	1	feature	feature	NOUN
aiti-11169	97	2	importance	importance	NOUN
aiti-11169	97	3	measurements	measurement	NOUN
aiti-11169	97	4	can	can	AUX
aiti-11169	97	5	reduce	reduce	VERB
aiti-11169	97	6	the	the	DET
aiti-11169	97	7	initial	initial	ADJ
aiti-11169	97	8	number	number	NOUN
aiti-11169	97	9	of	of	ADP
aiti-11169	97	10	features	feature	NOUN
aiti-11169	97	11	by	by	ADP
aiti-11169	97	12	eliminating	eliminate	VERB
aiti-11169	97	13	those	those	DET
aiti-11169	97	14	features	feature	NOUN
aiti-11169	97	15	with	with	ADP
aiti-11169	97	16	a	a	DET
aiti-11169	97	17	low	low	ADJ
aiti-11169	97	18	importance	importance	NOUN
aiti-11169	97	19	score	score	NOUN
aiti-11169	97	20	and	and	CCONJ
aiti-11169	97	21	improving	improve	VERB
aiti-11169	97	22	classifier	classifier	ADJ
aiti-11169	97	23	performance	performance	NOUN
aiti-11169	97	24	[	[	X
aiti-11169	97	25	18	18	NUM
aiti-11169	97	26	]	]	PUNCT
aiti-11169	97	27	.	.	PUNCT
aiti-11169	98	1	in	in	ADP
aiti-11169	98	2	this	this	DET
aiti-11169	98	3	study	study	NOUN
aiti-11169	98	4	,	,	PUNCT
aiti-11169	98	5	the	the	DET
aiti-11169	98	6	features	feature	NOUN
aiti-11169	98	7	were	be	AUX
aiti-11169	98	8	sorted	sort	VERB
aiti-11169	98	9	based	base	VERB
aiti-11169	98	10	on	on	ADP
aiti-11169	98	11	their	their	PRON
aiti-11169	98	12	worth	worth	NOUN
aiti-11169	98	13	.	.	PUNCT
aiti-11169	99	1	to	to	PART
aiti-11169	99	2	score	score	VERB
aiti-11169	99	3	a	a	DET
aiti-11169	99	4	feature	feature	NOUN
aiti-11169	99	5	’s	’s	PART
aiti-11169	99	6	worth	worth	ADJ
aiti-11169	99	7	,	,	PUNCT
aiti-11169	99	8	the	the	DET
aiti-11169	99	9	information	information	NOUN
aiti-11169	99	10	associated	associate	VERB
aiti-11169	99	11	with	with	ADP
aiti-11169	99	12	the	the	DET
aiti-11169	99	13	feature	feature	NOUN
aiti-11169	99	14	was	be	AUX
aiti-11169	99	15	used	use	VERB
aiti-11169	99	16	.	.	PUNCT
aiti-11169	100	1	features	feature	NOUN
aiti-11169	100	2	with	with	ADP
aiti-11169	100	3	higher	high	ADJ
aiti-11169	100	4	scores	score	NOUN
aiti-11169	100	5	were	be	AUX
aiti-11169	100	6	those	those	PRON
aiti-11169	100	7	closest	close	ADJ
aiti-11169	100	8	to	to	ADP
aiti-11169	100	9	the	the	DET
aiti-11169	100	10	center	center	NOUN
aiti-11169	100	11	location	location	NOUN
aiti-11169	100	12	.	.	PUNCT
aiti-11169	101	1	information	information	NOUN
aiti-11169	101	2	gain	gain	NOUN
aiti-11169	101	3	was	be	AUX
aiti-11169	101	4	first	first	ADJ
aiti-11169	101	5	input	input	NOUN
aiti-11169	101	6	into	into	ADP
aiti-11169	101	7	a	a	DET
aiti-11169	101	8	decision	decision	NOUN
aiti-11169	101	9	tree	tree	NOUN
aiti-11169	101	10	and	and	CCONJ
aiti-11169	101	11	used	use	VERB
aiti-11169	101	12	to	to	PART
aiti-11169	101	13	rank	rank	VERB
aiti-11169	101	14	the	the	DET
aiti-11169	101	15	priority	priority	NOUN
aiti-11169	101	16	of	of	ADP
aiti-11169	101	17	feature	feature	NOUN
aiti-11169	101	18	nodes	node	NOUN
aiti-11169	101	19	;	;	PUNCT
aiti-11169	101	20	this	this	PRON
aiti-11169	101	21	was	be	AUX
aiti-11169	101	22	then	then	ADV
aiti-11169	101	23	expanded	expand	VERB
aiti-11169	101	24	and	and	CCONJ
aiti-11169	101	25	applied	apply	VERB
aiti-11169	101	26	to	to	ADP
aiti-11169	101	27	importance	importance	NOUN
aiti-11169	101	28	measurement	measurement	NOUN
aiti-11169	101	29	.	.	PUNCT
aiti-11169	102	1	assuming	assume	VERB
aiti-11169	102	2	the	the	DET
aiti-11169	102	3	class	class	NOUN
aiti-11169	102	4	label	label	NOUN
aiti-11169	102	5	of	of	ADP
aiti-11169	102	6	a	a	DET
aiti-11169	102	7	feature	feature	NOUN
aiti-11169	102	8	has	have	VERB
aiti-11169	102	9	two	two	NUM
aiti-11169	102	10	distinct	distinct	ADJ
aiti-11169	102	11	values	value	NOUN
aiti-11169	102	12	that	that	PRON
aiti-11169	102	13	define	define	VERB
aiti-11169	102	14	binary	binary	ADJ
aiti-11169	102	15	classes	class	NOUN
aiti-11169	102	16	�	�	PROPN
aiti-11169	102	17	c1,c2	c1,c2	PROPN
aiti-11169	102	18	�	�	PROPN
aiti-11169	102	19	.	.	PROPN
aiti-11169	102	20	info	info	PROPN
aiti-11169	102	21	�	�	PROPN
aiti-11169	102	22	�	�	PROPN
aiti-11169	102	23	�	�	PROPN
aiti-11169	102	24	�	�	PROPN
aiti-11169	102	25	,	,	PUNCT
aiti-11169	102	26	also	also	ADV
aiti-11169	102	27	known	know	VERB
aiti-11169	102	28	as	as	ADP
aiti-11169	102	29	the	the	DET
aiti-11169	102	30	entropy	entropy	NOUN
aiti-11169	102	31	of	of	ADP
aiti-11169	102	32	�	�	PROPN
aiti-11169	102	33	�	�	PROPN
aiti-11169	102	34	�	�	PROPN
aiti-11169	102	35	×	×	NOUN
aiti-11169	102	36	�	�	PROPN
aiti-11169	102	37	〈	〈	NOUN
aiti-11169	102	38	〉	〉	NOUN
aiti-11169	102	39	,	,	PUNCT
aiti-11169	102	40	can	can	AUX
aiti-11169	102	41	be	be	AUX
aiti-11169	102	42	defined	define	VERB
aiti-11169	102	43	as	as	ADP
aiti-11169	102	44	(	(	PUNCT
aiti-11169	102	45	)	)	PUNCT
aiti-11169	102	46	(	(	PUNCT
aiti-11169	102	47	)	)	PUNCT
aiti-11169	102	48	(	(	PUNCT
aiti-11169	102	49	)	)	SYM
aiti-11169	102	50	1	1	NUM
aiti-11169	102	51	2	2	NUM
aiti-11169	102	52	1	1	NUM
aiti-11169	102	53	2	2	NUM
aiti-11169	102	54	2	2	NUM
aiti-11169	102	55	2	2	NUM
aiti-11169	102	56	info	info	NOUN
aiti-11169	102	57	log	log	VERB
aiti-11169	102	58	logb	logb	NOUN
aiti-11169	103	1	p	p	PROPN
aiti-11169	103	2	p	p	X
aiti-11169	103	3	p	p	X
aiti-11169	103	4	p=	p=	NOUN
aiti-11169	103	5	−	−	PROPN
aiti-11169	103	6	−ɺ	−ɺ	NOUN
aiti-11169	103	7	(	(	PUNCT
aiti-11169	103	8	2	2	NUM
aiti-11169	103	9	)	)	PUNCT
aiti-11169	103	10	where	where	SCONJ
aiti-11169	103	11	�	�	PROPN
aiti-11169	103	12	�	�	PROPN
aiti-11169	103	13	,	,	PUNCT
aiti-11169	103	14	�	�	PROPN
aiti-11169	103	15	�	�	PROPN
aiti-11169	103	16	are	be	AUX
aiti-11169	103	17	the	the	DET
aiti-11169	103	18	nonzero	nonzero	NOUN
aiti-11169	103	19	probabilities	probability	NOUN
aiti-11169	103	20	that	that	PRON
aiti-11169	103	21	an	an	DET
aiti-11169	103	22	arbitrary	arbitrary	ADJ
aiti-11169	103	23	tuple	tuple	PROPN
aiti-11169	103	24	�	�	PROPN
aiti-11169	103	25	�	�	PROPN
aiti-11169	103	26	�	�	PROPN
aiti-11169	103	27	×	×	NOUN
aiti-11169	103	28	�	�	NOUN
aiti-11169	103	29	〈	〈	NOUN
aiti-11169	103	30	〉	〉	NOUN
aiti-11169	103	31	belongs	belong	VERB
aiti-11169	103	32	to	to	ADP
aiti-11169	103	33	classes	class	NOUN
aiti-11169	103	34	c1,c2	c1,c2	PROPN
aiti-11169	103	35	and	and	CCONJ
aiti-11169	103	36	are	be	AUX
aiti-11169	103	37	estimated	estimate	VERB
aiti-11169	103	38	using	use	VERB
aiti-11169	103	39	�	�	PROPN
aiti-11169	103	40	�	�	PROPN
aiti-11169	103	41	�	�	PROPN
aiti-11169	103	42	or	or	CCONJ
aiti-11169	103	43	2	2	NUM
aiti-11169	103	44	,	,	PUNCT
aiti-11169	103	45	�	�	PROPN
aiti-11169	103	46	�	�	PROPN
aiti-11169	103	47	�	�	PROPN
aiti-11169	103	48	∕	∕	PROPN
aiti-11169	103	49	�	�	PROPN
aiti-11169	103	50	�	�	PROPN
aiti-11169	103	51	�	�	PROPN
aiti-11169	103	52	�	�	PROPN
aiti-11169	103	53	.	.	PUNCT
aiti-11169	104	1	because	because	SCONJ
aiti-11169	104	2	each	each	DET
aiti-11169	104	3	feature	feature	NOUN
aiti-11169	104	4	column	column	NOUN
aiti-11169	104	5	�	�	PROPN
aiti-11169	104	6	�	�	PROPN
aiti-11169	104	7	�	�	PROPN
aiti-11169	104	8	is	be	AUX
aiti-11169	104	9	a	a	DET
aiti-11169	104	10	set	set	NOUN
aiti-11169	104	11	of	of	ADP
aiti-11169	104	12	discontinuous	discontinuous	ADJ
aiti-11169	104	13	values	value	NOUN
aiti-11169	104	14	,	,	PUNCT
aiti-11169	104	15	these	these	DET
aiti-11169	104	16	discrete	discrete	ADJ
aiti-11169	104	17	values	value	NOUN
aiti-11169	104	18	of	of	ADP
aiti-11169	104	19	�	�	PROPN
aiti-11169	104	20	�	�	PROPN
aiti-11169	104	21	�	�	PROPN
aiti-11169	104	22	need	need	VERB
aiti-11169	104	23	to	to	PART
aiti-11169	104	24	be	be	AUX
aiti-11169	104	25	split	split	VERB
aiti-11169	104	26	into	into	ADP
aiti-11169	104	27	two	two	NUM
aiti-11169	104	28	sets	set	NOUN
aiti-11169	104	29	using	use	VERB
aiti-11169	104	30	an	an	DET
aiti-11169	104	31	unsupervised	unsupervised	ADJ
aiti-11169	104	32	algorithm	algorithm	NOUN
aiti-11169	104	33	.	.	PUNCT
aiti-11169	105	1	the	the	DET
aiti-11169	105	2	k	k	NOUN
aiti-11169	105	3	-	-	PUNCT
aiti-11169	105	4	means	mean	VERB
aiti-11169	105	5	clustering	clustering	NOUN
aiti-11169	105	6	method	method	NOUN
aiti-11169	105	7	can	can	AUX
aiti-11169	105	8	partition	partition	VERB
aiti-11169	105	9	a	a	DET
aiti-11169	105	10	given	give	VERB
aiti-11169	105	11	dataset	dataset	NOUN
aiti-11169	105	12	into	into	ADP
aiti-11169	105	13	k	k	PROPN
aiti-11169	105	14	groups	group	NOUN
aiti-11169	105	15	prespecified	prespecifie	VERB
aiti-11169	105	16	by	by	ADP
aiti-11169	105	17	the	the	DET
aiti-11169	105	18	analyst	analyst	NOUN
aiti-11169	105	19	[	[	X
aiti-11169	105	20	19	19	NUM
aiti-11169	105	21	]	]	PUNCT
aiti-11169	105	22	.	.	PUNCT
aiti-11169	106	1	in	in	ADP
aiti-11169	106	2	this	this	DET
aiti-11169	106	3	study	study	NOUN
aiti-11169	106	4	,	,	PUNCT
aiti-11169	106	5	this	this	DET
aiti-11169	106	6	process	process	NOUN
aiti-11169	106	7	was	be	AUX
aiti-11169	106	8	repeated	repeat	VERB
aiti-11169	106	9	25	25	NUM
aiti-11169	106	10	times	time	NOUN
aiti-11169	106	11	to	to	PART
aiti-11169	106	12	produce	produce	VERB
aiti-11169	106	13	a	a	DET
aiti-11169	106	14	lower	low	ADJ
aiti-11169	106	15	within	within	ADP
aiti-11169	106	16	-	-	PUNCT
aiti-11169	106	17	cluster	cluster	NOUN
aiti-11169	106	18	variation	variation	NOUN
aiti-11169	106	19	and	and	CCONJ
aiti-11169	106	20	a	a	DET
aiti-11169	106	21	more	more	ADV
aiti-11169	106	22	stable	stable	ADJ
aiti-11169	106	23	result	result	NOUN
aiti-11169	106	24	.	.	PUNCT
aiti-11169	107	1	each	each	DET
aiti-11169	107	2	�	�	PROPN
aiti-11169	107	3	�	�	PROPN
aiti-11169	107	4	�	�	PROPN
aiti-11169	107	5	×	×	NOUN
aiti-11169	107	6	�	�	PROPN
aiti-11169	107	7	now	now	ADV
aiti-11169	107	8	belongs	belong	VERB
aiti-11169	107	9	to	to	ADP
aiti-11169	107	10	the	the	DET
aiti-11169	107	11	split	split	NOUN
aiti-11169	107	12	set	set	VERB
aiti-11169	107	13	�	�	PROPN
aiti-11169	107	14	�	�	PROPN
aiti-11169	107	15	�	�	PROPN
aiti-11169	107	16	,	,	PUNCT
aiti-11169	107	17	�	�	PROPN
aiti-11169	107	18	�	�	PROPN
aiti-11169	107	19	�	�	PROPN
aiti-11169	107	20	and	and	CCONJ
aiti-11169	107	21	has	have	VERB
aiti-11169	107	22	a	a	DET
aiti-11169	107	23	class	class	NOUN
aiti-11169	107	24	label	label	NOUN
aiti-11169	107	25	.	.	PUNCT
aiti-11169	108	1	the	the	DET
aiti-11169	108	2	expected	expect	VERB
aiti-11169	108	3	information	information	NOUN
aiti-11169	108	4	required	require	VERB
aiti-11169	108	5	to	to	PART
aiti-11169	108	6	classify	classify	VERB
aiti-11169	108	7	the	the	DET
aiti-11169	108	8	tuple	tuple	NOUN
aiti-11169	108	9	from	from	ADP
aiti-11169	108	10	�	�	PROPN
aiti-11169	108	11	�	�	PROPN
aiti-11169	108	12	based	base	VERB
aiti-11169	108	13	on	on	ADP
aiti-11169	108	14	feature	feature	NOUN
aiti-11169	108	15	�	�	PROPN
aiti-11169	108	16	�	�	PROPN
aiti-11169	108	17	�	�	PROPN
aiti-11169	108	18	is	be	AUX
aiti-11169	108	19	(	(	PUNCT
aiti-11169	108	20	)	)	PUNCT
aiti-11169	108	21	(	(	PUNCT
aiti-11169	108	22	)	)	PUNCT
aiti-11169	108	23	2	2	NUM
aiti-11169	108	24	1	1	NUM
aiti-11169	108	25	info	info	NOUN
aiti-11169	108	26	info	info	NOUN
aiti-11169	108	27	β	β	X
aiti-11169	108	28	=	=	PUNCT
aiti-11169	108	29	=	=	SYM
aiti-11169	108	30	×ɺ	×ɺ	NUM
aiti-11169	108	31	ɺ	ɺ	PROPN
aiti-11169	108	32	ɺ	ɺ	INTJ
aiti-11169	109	1	ɺ	ɺ	NOUN
aiti-11169	110	1	ɺ	ɺ	NOUN
aiti-11169	111	1	i	i	PRON
aiti-11169	112	1	n	n	VERB
aiti-11169	113	1	i	i	INTJ
aiti-11169	113	2	nn	nn	INTJ
aiti-11169	114	1	i	i	PRON
aiti-11169	114	2	s	s	AUX
aiti-11169	114	3	s	s	PROPN
aiti-11169	114	4	b	b	PROPN
aiti-11169	114	5	b	b	PROPN
aiti-11169	114	6	b	b	PROPN
aiti-11169	114	7	b	b	PROPN
aiti-11169	114	8	(	(	PUNCT
aiti-11169	114	9	3	3	NUM
aiti-11169	114	10	)	)	PUNCT
aiti-11169	114	11	(	(	PUNCT
aiti-11169	114	12	)	)	PUNCT
aiti-11169	114	13	(	(	PUNCT
aiti-11169	114	14	)	)	PUNCT
aiti-11169	114	15	(	(	PUNCT
aiti-11169	114	16	)	)	PUNCT
aiti-11169	114	17	gain	gain	VERB
aiti-11169	114	18	info	info	NOUN
aiti-11169	114	19	info	info	NOUN
aiti-11169	114	20	β	β	X
aiti-11169	114	21	β	β	X
aiti-11169	114	22	=	=	PUNCT
aiti-11169	114	23	−	−	NOUN
aiti-11169	115	1	ɺ	ɺ	INTJ
aiti-11169	115	2	ɺ	ɺ	NOUN
aiti-11169	115	3	ɺ	ɺ	NOUN
aiti-11169	115	4	ɺ	ɺ	NOUN
aiti-11169	115	5	n	n	CCONJ
aiti-11169	115	6	n	n	PROPN
aiti-11169	115	7	b	b	PROPN
aiti-11169	115	8	b	b	PROPN
aiti-11169	115	9	(	(	PUNCT
aiti-11169	115	10	4	4	NUM
aiti-11169	115	11	)	)	PUNCT
aiti-11169	115	12	the	the	DET
aiti-11169	115	13	�	�	PROPN
aiti-11169	115	14	�	�	PROPN
aiti-11169	115	15	�	�	PROPN
aiti-11169	115	16	with	with	ADP
aiti-11169	115	17	the	the	DET
aiti-11169	115	18	highest	high	ADJ
aiti-11169	115	19	information	information	NOUN
aiti-11169	115	20	gain	gain	NOUN
aiti-11169	115	21	was	be	AUX
aiti-11169	115	22	chosen	choose	VERB
aiti-11169	115	23	to	to	PART
aiti-11169	115	24	replace	replace	VERB
aiti-11169	115	25	the	the	DET
aiti-11169	115	26	center	center	NOUN
aiti-11169	115	27	of	of	ADP
aiti-11169	115	28	!	!	PUNCT
aiti-11169	115	29	�	�	PROPN
aiti-11169	115	30	�	�	PROPN
aiti-11169	115	31	�	�	PROPN
aiti-11169	115	32	,	,	PUNCT
aiti-11169	115	33	�	�	PROPN
aiti-11169	115	34	�	�	PROPN
aiti-11169	115	35	�	�	PROPN
aiti-11169	115	36	,	,	PUNCT
aiti-11169	115	37	…	…	PUNCT
aiti-11169	115	38	,	,	PUNCT
aiti-11169	115	39	�	�	PROPN
aiti-11169	115	40	�	�	PROPN
aiti-11169	115	41	�	�	PROPN
aiti-11169	115	42	�	�	NOUN
aiti-11169	115	43	#	#	NOUN
aiti-11169	115	44	and	and	CCONJ
aiti-11169	115	45	the	the	DET
aiti-11169	115	46	other	other	ADJ
aiti-11169	115	47	features	feature	NOUN
aiti-11169	115	48	were	be	AUX
aiti-11169	115	49	sorted	sort	VERB
aiti-11169	115	50	individually	individually	ADV
aiti-11169	115	51	from	from	ADP
aiti-11169	115	52	the	the	DET
aiti-11169	115	53	center	center	NOUN
aiti-11169	115	54	to	to	ADP
aiti-11169	115	55	the	the	DET
aiti-11169	115	56	two	two	NUM
aiti-11169	115	57	sides	side	NOUN
aiti-11169	115	58	with	with	ADP
aiti-11169	115	59	decreasing	decrease	VERB
aiti-11169	115	60	information	information	NOUN
aiti-11169	115	61	gain	gain	NOUN
aiti-11169	115	62	.	.	PUNCT
aiti-11169	116	1	thus	thus	ADV
aiti-11169	116	2	,	,	PUNCT
aiti-11169	116	3	a	a	DET
aiti-11169	116	4	sorted	sorted	ADJ
aiti-11169	116	5	base	base	NOUN
aiti-11169	116	6	feature	feature	NOUN
aiti-11169	116	7	set	set	NOUN
aiti-11169	116	8	was	be	AUX
aiti-11169	116	9	obtained	obtain	VERB
aiti-11169	116	10	.	.	PUNCT
aiti-11169	117	1	2.3	2.3	NUM
aiti-11169	117	2	.	.	PUNCT
aiti-11169	118	1	generating	generate	VERB
aiti-11169	118	2	nutritious	nutritious	ADJ
aiti-11169	118	3	soil	soil	NOUN
aiti-11169	118	4	based	base	VERB
aiti-11169	118	5	on	on	ADP
aiti-11169	118	6	features	feature	NOUN
aiti-11169	118	7	digitized	digitize	VERB
aiti-11169	118	8	soil	soil	NOUN
aiti-11169	118	9	consisting	consist	VERB
aiti-11169	118	10	of	of	ADP
aiti-11169	118	11	the	the	DET
aiti-11169	118	12	sorted	sort	VERB
aiti-11169	118	13	base	base	NOUN
aiti-11169	118	14	feature	feature	NOUN
aiti-11169	118	15	set	set	NOUN
aiti-11169	118	16	can	can	AUX
aiti-11169	118	17	not	not	PART
aiti-11169	118	18	only	only	ADV
aiti-11169	118	19	be	be	AUX
aiti-11169	118	20	wide	wide	ADJ
aiti-11169	118	21	;	;	PUNCT
aiti-11169	118	22	it	it	PRON
aiti-11169	118	23	must	must	AUX
aiti-11169	118	24	also	also	ADV
aiti-11169	118	25	have	have	VERB
aiti-11169	118	26	depth	depth	NOUN
aiti-11169	118	27	.	.	PUNCT
aiti-11169	119	1	therefore	therefore	ADV
aiti-11169	119	2	,	,	PUNCT
aiti-11169	119	3	continuous	continuous	ADJ
aiti-11169	119	4	feature	feature	NOUN
aiti-11169	119	5	discretization	discretization	NOUN
aiti-11169	119	6	(	(	PUNCT
aiti-11169	119	7	from	from	ADP
aiti-11169	119	8	scalar	scalar	ADJ
aiti-11169	119	9	to	to	ADP
aiti-11169	119	10	vector	vector	NOUN
aiti-11169	119	11	)	)	PUNCT
aiti-11169	119	12	is	be	AUX
aiti-11169	119	13	necessary	necessary	ADJ
aiti-11169	119	14	.	.	PUNCT
aiti-11169	120	1	in	in	ADP
aiti-11169	120	2	this	this	DET
aiti-11169	120	3	process	process	NOUN
aiti-11169	120	4	,	,	PUNCT
aiti-11169	120	5	equal	equal	ADJ
aiti-11169	120	6	-	-	PUNCT
aiti-11169	120	7	width	width	NOUN
aiti-11169	120	8	interval	interval	NOUN
aiti-11169	120	9	binning	binning	NOUN
aiti-11169	120	10	is	be	AUX
aiti-11169	120	11	the	the	DET
aiti-11169	120	12	most	most	ADV
aiti-11169	120	13	common	common	ADJ
aiti-11169	120	14	method	method	NOUN
aiti-11169	120	15	used	use	VERB
aiti-11169	120	16	for	for	ADP
aiti-11169	120	17	discretizing	discretize	VERB
aiti-11169	120	18	data	datum	NOUN
aiti-11169	120	19	to	to	PART
aiti-11169	120	20	produce	produce	VERB
aiti-11169	120	21	nominal	nominal	ADJ
aiti-11169	120	22	values	value	NOUN
aiti-11169	120	23	from	from	ADP
aiti-11169	120	24	continuous	continuous	ADJ
aiti-11169	120	25	features	feature	NOUN
aiti-11169	120	26	[	[	X
aiti-11169	120	27	20	20	NUM
aiti-11169	120	28	]	]	PUNCT
aiti-11169	120	29	.	.	PUNCT
aiti-11169	121	1	with	with	ADP
aiti-11169	121	2	this	this	DET
aiti-11169	121	3	binning	binning	NOUN
aiti-11169	121	4	method	method	NOUN
aiti-11169	121	5	,	,	PUNCT
aiti-11169	121	6	if	if	SCONJ
aiti-11169	121	7	feature	feature	NOUN
aiti-11169	121	8	$	$	SYM
aiti-11169	121	9	has	have	VERB
aiti-11169	121	10	values	value	NOUN
aiti-11169	121	11	bounded	bound	VERB
aiti-11169	121	12	by	by	ADP
aiti-11169	121	13	$	$	SYM
aiti-11169	121	14	�	�	NOUN
aiti-11169	121	15	%	%	NOUN
aiti-11169	121	16	&	&	CCONJ
aiti-11169	121	17	and	and	CCONJ
aiti-11169	121	18	$	$	SYM
aiti-11169	121	19	�	�	NOUN
aiti-11169	121	20	'	'	PART
aiti-11169	121	21	�	�	PROPN
aiti-11169	121	22	,	,	PUNCT
aiti-11169	121	23	the	the	DET
aiti-11169	121	24	method	method	NOUN
aiti-11169	121	25	computes	compute	VERB
aiti-11169	121	26	k	k	NOUN
aiti-11169	121	27	equally	equally	ADV
aiti-11169	121	28	sized	sized	ADJ
aiti-11169	121	29	bin	bin	NOUN
aiti-11169	121	30	widths	width	NOUN
aiti-11169	121	31	as	as	SCONJ
aiti-11169	121	32	follows	follow	VERB
aiti-11169	121	33	:	:	PUNCT
aiti-11169	121	34	max	max	PROPN
aiti-11169	121	35	mina	mina	PROPN
aiti-11169	121	36	a	a	DET
aiti-11169	121	37	k	k	NOUN
aiti-11169	121	38	−	−	PROPN
aiti-11169	121	39	=	=	PROPN
aiti-11169	121	40	δ	δ	PROPN
aiti-11169	121	41	(	(	PUNCT
aiti-11169	121	42	5	5	NUM
aiti-11169	121	43	)	)	PUNCT
aiti-11169	121	44	and	and	CCONJ
aiti-11169	121	45	it	it	PRON
aiti-11169	121	46	constructs	construct	VERB
aiti-11169	121	47	bin	bin	NOUN
aiti-11169	121	48	boundaries	boundary	NOUN
aiti-11169	121	49	at	at	ADP
aiti-11169	121	50	$	$	SYM
aiti-11169	121	51	�	�	NOUN
aiti-11169	121	52	'	'	PART
aiti-11169	121	53	�	�	PROPN
aiti-11169	121	54	+	+	NUM
aiti-11169	121	55	)	)	PUNCT
aiti-11169	121	56	*	*	PUNCT
aiti-11169	121	57	,	,	PUNCT
aiti-11169	121	58	where	where	SCONJ
aiti-11169	121	59	)	)	PUNCT
aiti-11169	121	60	=	=	SYM
aiti-11169	121	61	1	1	NUM
aiti-11169	121	62	,	,	PUNCT
aiti-11169	121	63	2	2	NUM
aiti-11169	121	64	,	,	PUNCT
aiti-11169	121	65	…	…	PUNCT
aiti-11169	121	66	,	,	PUNCT
aiti-11169	121	67	,	,	PUNCT
aiti-11169	121	68	−	−	PROPN
aiti-11169	121	69	1	1	X
aiti-11169	121	70	.	.	PUNCT
aiti-11169	121	71	to	to	PART
aiti-11169	121	72	imitate	imitate	VERB
aiti-11169	121	73	the	the	DET
aiti-11169	121	74	natural	natural	ADJ
aiti-11169	121	75	environment	environment	NOUN
aiti-11169	121	76	of	of	ADP
aiti-11169	121	77	the	the	DET
aiti-11169	121	78	root	root	NOUN
aiti-11169	121	79	system	system	NOUN
aiti-11169	121	80	,	,	PUNCT
aiti-11169	121	81	this	this	DET
aiti-11169	121	82	study	study	NOUN
aiti-11169	121	83	set	set	VERB
aiti-11169	121	84	,	,	PUNCT
aiti-11169	121	85	=	=	NOUN
aiti-11169	121	86	15	15	NUM
aiti-11169	121	87	.	.	PUNCT
aiti-11169	122	1	advances	advance	NOUN
aiti-11169	122	2	in	in	ADP
aiti-11169	122	3	technology	technology	NOUN
aiti-11169	122	4	innovation	innovation	NOUN
aiti-11169	122	5	,	,	PUNCT
aiti-11169	122	6	vol	vol	NOUN
aiti-11169	122	7	.	.	PROPN
aiti-11169	122	8	8	8	NUM
aiti-11169	122	9	,	,	PUNCT
aiti-11169	122	10	no	no	INTJ
aiti-11169	122	11	.	.	NOUN
aiti-11169	122	12	3	3	NUM
aiti-11169	122	13	,	,	PUNCT
aiti-11169	122	14	2023	2023	NUM
aiti-11169	122	15	,	,	PUNCT
aiti-11169	122	16	pp	pp	ADJ
aiti-11169	122	17	.	.	PUNCT
aiti-11169	123	1	163	163	NUM
aiti-11169	123	2	-	-	SYM
aiti-11169	123	3	176	176	NUM
aiti-11169	123	4	167	167	NUM
aiti-11169	123	5	in	in	ADP
aiti-11169	123	6	addition	addition	NOUN
aiti-11169	123	7	,	,	PUNCT
aiti-11169	123	8	the	the	DET
aiti-11169	123	9	vertical	vertical	ADJ
aiti-11169	123	10	distribution	distribution	NOUN
aiti-11169	123	11	of	of	ADP
aiti-11169	123	12	soil	soil	NOUN
aiti-11169	123	13	nutrients	nutrient	NOUN
aiti-11169	123	14	should	should	AUX
aiti-11169	123	15	follow	follow	VERB
aiti-11169	123	16	the	the	DET
aiti-11169	123	17	laws	law	NOUN
aiti-11169	123	18	of	of	ADP
aiti-11169	123	19	nature	nature	NOUN
aiti-11169	123	20	.	.	PUNCT
aiti-11169	124	1	most	most	ADJ
aiti-11169	124	2	nutrients	nutrient	NOUN
aiti-11169	124	3	are	be	AUX
aiti-11169	124	4	concentrated	concentrate	VERB
aiti-11169	124	5	in	in	ADP
aiti-11169	124	6	the	the	DET
aiti-11169	124	7	shallowest	shallow	ADJ
aiti-11169	124	8	layer	layer	NOUN
aiti-11169	124	9	and	and	CCONJ
aiti-11169	124	10	decrease	decrease	NOUN
aiti-11169	124	11	with	with	ADP
aiti-11169	124	12	depth	depth	NOUN
aiti-11169	124	13	because	because	SCONJ
aiti-11169	124	14	nutrients	nutrient	NOUN
aiti-11169	124	15	return	return	VERB
aiti-11169	124	16	to	to	ADP
aiti-11169	124	17	the	the	DET
aiti-11169	124	18	soil	soil	NOUN
aiti-11169	124	19	through	through	ADP
aiti-11169	124	20	biocycles	biocycle	NOUN
aiti-11169	124	21	.	.	PUNCT
aiti-11169	125	1	thus	thus	ADV
aiti-11169	125	2	,	,	PUNCT
aiti-11169	125	3	the	the	DET
aiti-11169	125	4	discrete	discrete	ADJ
aiti-11169	125	5	feature	feature	NOUN
aiti-11169	125	6	set	set	VERB
aiti-11169	125	7	/	/	SYM
aiti-11169	125	8	�	�	PROPN
aiti-11169	125	9	0×	0×	PROPN
aiti-11169	125	10	�	�	PROPN
aiti-11169	125	11	�	�	PROPN
aiti-11169	125	12	was	be	AUX
aiti-11169	125	13	arranged	arrange	VERB
aiti-11169	125	14	in	in	ADP
aiti-11169	125	15	decreasing	decrease	VERB
aiti-11169	125	16	order	order	NOUN
aiti-11169	125	17	from	from	ADP
aiti-11169	125	18	top	top	NOUN
aiti-11169	125	19	to	to	ADP
aiti-11169	125	20	bottom	bottom	NOUN
aiti-11169	125	21	.	.	PUNCT
aiti-11169	126	1	by	by	ADP
aiti-11169	126	2	contrast	contrast	NOUN
aiti-11169	126	3	,	,	PUNCT
aiti-11169	126	4	the	the	DET
aiti-11169	126	5	horizontal	horizontal	ADJ
aiti-11169	126	6	distribution	distribution	NOUN
aiti-11169	126	7	of	of	ADP
aiti-11169	126	8	nutrients	nutrient	NOUN
aiti-11169	126	9	is	be	AUX
aiti-11169	126	10	associated	associate	VERB
aiti-11169	126	11	with	with	ADP
aiti-11169	126	12	crustal	crustal	ADJ
aiti-11169	126	13	movement	movement	NOUN
aiti-11169	126	14	.	.	PUNCT
aiti-11169	127	1	the	the	DET
aiti-11169	127	2	kernel	kernel	PROPN
aiti-11169	127	3	convolution	convolution	NOUN
aiti-11169	127	4	values	value	NOUN
aiti-11169	127	5	12	12	NUM
aiti-11169	127	6	and	and	CCONJ
aiti-11169	127	7	1	1	NUM
aiti-11169	127	8	�	�	NOUN
aiti-11169	127	9	were	be	AUX
aiti-11169	127	10	used	use	VERB
aiti-11169	127	11	to	to	PART
aiti-11169	127	12	calculate	calculate	VERB
aiti-11169	127	13	the	the	DET
aiti-11169	127	14	reconstituted	reconstitute	VERB
aiti-11169	127	15	nutrient	nutrient	NOUN
aiti-11169	127	16	distributions	distribution	NOUN
aiti-11169	127	17	.	.	PUNCT
aiti-11169	128	1	nutritional	nutritional	ADJ
aiti-11169	128	2	reconstructions	reconstruction	NOUN
aiti-11169	128	3	are	be	AUX
aiti-11169	128	4	divided	divide	VERB
aiti-11169	128	5	into	into	ADP
aiti-11169	128	6	two	two	NUM
aiti-11169	128	7	types	type	NOUN
aiti-11169	128	8	:	:	PUNCT
aiti-11169	128	9	12	12	NUM
aiti-11169	128	10	,	,	PUNCT
aiti-11169	128	11	which	which	PRON
aiti-11169	128	12	affects	affect	VERB
aiti-11169	128	13	the	the	DET
aiti-11169	128	14	nutrient	nutrient	ADJ
aiti-11169	128	15	distribution	distribution	NOUN
aiti-11169	128	16	in	in	ADP
aiti-11169	128	17	shallower	shallow	ADJ
aiti-11169	128	18	layers	layer	NOUN
aiti-11169	128	19	;	;	PUNCT
aiti-11169	128	20	and	and	CCONJ
aiti-11169	128	21	1	1	NUM
aiti-11169	128	22	�	�	NOUN
aiti-11169	128	23	,	,	PUNCT
aiti-11169	128	24	which	which	PRON
aiti-11169	128	25	affects	affect	VERB
aiti-11169	128	26	the	the	DET
aiti-11169	128	27	nutrient	nutrient	ADJ
aiti-11169	128	28	distribution	distribution	NOUN
aiti-11169	128	29	in	in	ADP
aiti-11169	128	30	deeper	deep	ADJ
aiti-11169	128	31	layers	layer	NOUN
aiti-11169	128	32	.	.	PUNCT
aiti-11169	129	1	the	the	DET
aiti-11169	129	2	convolution	convolution	NOUN
aiti-11169	129	3	kernel	kernel	PROPN
aiti-11169	129	4	is	be	AUX
aiti-11169	129	5	then	then	ADV
aiti-11169	129	6	defined	define	VERB
aiti-11169	129	7	as	as	ADP
aiti-11169	129	8	:	:	PUNCT
aiti-11169	129	9	1	1	NUM
aiti-11169	129	10	1	1	NUM
aiti-11169	129	11	1	1	NUM
aiti-11169	129	12	1	1	NUM
aiti-11169	129	13	0	0	NUM
aiti-11169	129	14	1	1	NUM
aiti-11169	129	15	0	0	NUM
aiti-11169	129	16	2	2	NUM
aiti-11169	129	17	0.5	0.5	NUM
aiti-11169	129	18	0.5	0.5	NUM
aiti-11169	129	19	0.5	0.5	NUM
aiti-11169	129	20	a	a	DET
aiti-11169	129	21			PROPN
aiti-11169	129	22			NOUN
aiti-11169	129	23			NOUN
aiti-11169	129	24	=	=	X
aiti-11169	129	25			NOUN
aiti-11169	129	26			NOUN
aiti-11169	129	27			NOUN
aiti-11169	129	28			PROPN
aiti-11169	129	29			PROPN
aiti-11169	129	30	τ	τ	X
aiti-11169	129	31	(	(	PUNCT
aiti-11169	129	32	6	6	NUM
aiti-11169	129	33	)	)	PUNCT
aiti-11169	129	34	0.5	0.5	NUM
aiti-11169	129	35	0.5	0.5	NUM
aiti-11169	129	36	0.5	0.5	NUM
aiti-11169	129	37	1	1	NUM
aiti-11169	129	38	0	0	NUM
aiti-11169	129	39	1	1	NUM
aiti-11169	129	40	0	0	NUM
aiti-11169	129	41	2	2	NUM
aiti-11169	129	42	1	1	NUM
aiti-11169	129	43	1	1	NUM
aiti-11169	129	44	1	1	NUM
aiti-11169	129	45	b	b	X
aiti-11169	129	46			PROPN
aiti-11169	129	47			ADJ
aiti-11169	129	48			NOUN
aiti-11169	129	49	=	=	X
aiti-11169	129	50			NOUN
aiti-11169	129	51			NOUN
aiti-11169	129	52			NOUN
aiti-11169	129	53			PROPN
aiti-11169	129	54			PROPN
aiti-11169	129	55	τ	τ	X
aiti-11169	129	56	(	(	PUNCT
aiti-11169	129	57	7	7	NUM
aiti-11169	129	58	)	)	PUNCT
aiti-11169	129	59	the	the	DET
aiti-11169	129	60	nutritious	nutritious	ADJ
aiti-11169	129	61	soil	soil	NOUN
aiti-11169	129	62	used	use	VERB
aiti-11169	129	63	to	to	PART
aiti-11169	129	64	generate	generate	VERB
aiti-11169	129	65	the	the	DET
aiti-11169	129	66	root	root	NOUN
aiti-11169	129	67	system	system	NOUN
aiti-11169	129	68	is	be	AUX
aiti-11169	129	69	written	write	VERB
aiti-11169	129	70	as	as	ADP
aiti-11169	129	71	3	3	NUM
aiti-11169	129	72	�	�	PROPN
aiti-11169	129	73	0×	0×	PROPN
aiti-11169	129	74	�	�	PROPN
aiti-11169	129	75	�	�	PROPN
aiti-11169	129	76	,	,	PUNCT
aiti-11169	129	77	which	which	PRON
aiti-11169	129	78	is	be	AUX
aiti-11169	129	79	a	a	DET
aiti-11169	129	80	result	result	NOUN
aiti-11169	129	81	of	of	ADP
aiti-11169	129	82	the	the	DET
aiti-11169	129	83	/	/	SYM
aiti-11169	129	84	�	�	PROPN
aiti-11169	129	85	0×	0×	NOUN
aiti-11169	129	86	�	�	PROPN
aiti-11169	129	87	�	�	PROPN
aiti-11169	129	88	convolution	convolution	NOUN
aiti-11169	129	89	with	with	ADP
aiti-11169	129	90	kernels	kernel	NOUN
aiti-11169	129	91	12	12	NUM
aiti-11169	129	92	and	and	CCONJ
aiti-11169	129	93	1	1	NUM
aiti-11169	129	94	�	�	PROPN
aiti-11169	129	95	.	.	PUNCT
aiti-11169	130	1	the	the	DET
aiti-11169	130	2	calculated	calculate	VERB
aiti-11169	130	3	target	target	NOUN
aiti-11169	130	4	matrix	matrix	NOUN
aiti-11169	130	5	requires	require	VERB
aiti-11169	130	6	zero	zero	NUM
aiti-11169	130	7	padding	padding	NOUN
aiti-11169	130	8	with	with	ADP
aiti-11169	130	9	a	a	DET
aiti-11169	130	10	size	size	NOUN
aiti-11169	130	11	of	of	ADP
aiti-11169	130	12	1	1	NUM
aiti-11169	130	13	before	before	ADP
aiti-11169	130	14	each	each	DET
aiti-11169	130	15	convolution	convolution	NOUN
aiti-11169	130	16	.	.	PUNCT
aiti-11169	131	1	the	the	DET
aiti-11169	131	2	completed	complete	VERB
aiti-11169	131	3	soil	soil	NOUN
aiti-11169	131	4	with	with	ADP
aiti-11169	131	5	the	the	DET
aiti-11169	131	6	mineral	mineral	NOUN
aiti-11169	131	7	nutrition	nutrition	NOUN
aiti-11169	131	8	generation	generation	NOUN
aiti-11169	131	9	process	process	NOUN
aiti-11169	131	10	is	be	AUX
aiti-11169	131	11	shown	show	VERB
aiti-11169	131	12	in	in	ADP
aiti-11169	131	13	fig	fig	NOUN
aiti-11169	131	14	.	.	PUNCT
aiti-11169	132	1	1	1	X
aiti-11169	132	2	.	.	X
aiti-11169	132	3	the	the	DET
aiti-11169	132	4	following	follow	VERB
aiti-11169	132	5	matrix	matrix	NOUN
aiti-11169	132	6	for	for	ADP
aiti-11169	132	7	the	the	DET
aiti-11169	132	8	distribution	distribution	NOUN
aiti-11169	132	9	of	of	ADP
aiti-11169	132	10	nutrients	nutrient	NOUN
aiti-11169	132	11	in	in	ADP
aiti-11169	132	12	the	the	DET
aiti-11169	132	13	soil	soil	NOUN
aiti-11169	132	14	is	be	AUX
aiti-11169	132	15	referred	refer	VERB
aiti-11169	132	16	to	to	ADP
aiti-11169	132	17	as	as	ADP
aiti-11169	132	18	the	the	DET
aiti-11169	132	19	nutrient	nutrient	NOUN
aiti-11169	132	20	matrix	matrix	NOUN
aiti-11169	132	21	.	.	PUNCT
aiti-11169	133	1	the	the	DET
aiti-11169	133	2	elements	element	NOUN
aiti-11169	133	3	of	of	ADP
aiti-11169	133	4	the	the	DET
aiti-11169	133	5	base	base	NOUN
aiti-11169	133	6	feature	feature	NOUN
aiti-11169	133	7	set	set	VERB
aiti-11169	133	8	are	be	AUX
aiti-11169	133	9	arranged	arrange	VERB
aiti-11169	133	10	in	in	ADP
aiti-11169	133	11	order	order	NOUN
aiti-11169	133	12	of	of	ADP
aiti-11169	133	13	importance	importance	NOUN
aiti-11169	133	14	,	,	PUNCT
aiti-11169	133	15	from	from	ADP
aiti-11169	133	16	the	the	DET
aiti-11169	133	17	center	center	NOUN
aiti-11169	133	18	to	to	ADP
aiti-11169	133	19	either	either	DET
aiti-11169	133	20	side	side	NOUN
aiti-11169	133	21	.	.	PUNCT
aiti-11169	134	1	each	each	DET
aiti-11169	134	2	element	element	NOUN
aiti-11169	134	3	in	in	ADP
aiti-11169	134	4	the	the	DET
aiti-11169	134	5	set	set	NOUN
aiti-11169	134	6	is	be	AUX
aiti-11169	134	7	then	then	ADV
aiti-11169	134	8	discretized	discretize	VERB
aiti-11169	134	9	.	.	PUNCT
aiti-11169	135	1	finally	finally	ADV
aiti-11169	135	2	,	,	PUNCT
aiti-11169	135	3	the	the	DET
aiti-11169	135	4	soil	soil	NOUN
aiti-11169	135	5	matrix	matrix	NOUN
aiti-11169	135	6	is	be	AUX
aiti-11169	135	7	obtained	obtain	VERB
aiti-11169	135	8	using	use	VERB
aiti-11169	135	9	two	two	NUM
aiti-11169	135	10	convolution	convolution	NOUN
aiti-11169	135	11	calculations	calculation	NOUN
aiti-11169	135	12	.	.	PUNCT
aiti-11169	136	1	fig	fig	NOUN
aiti-11169	136	2	.	.	PUNCT
aiti-11169	137	1	1	1	NUM
aiti-11169	137	2	top	top	ADJ
aiti-11169	137	3	-	-	PUNCT
aiti-11169	137	4	to	to	ADP
aiti-11169	137	5	-	-	PUNCT
aiti-11169	137	6	bottom	bottom	NOUN
aiti-11169	137	7	order	order	NOUN
aiti-11169	137	8	of	of	ADP
aiti-11169	137	9	soil	soil	NOUN
aiti-11169	137	10	matrix	matrix	NOUN
aiti-11169	137	11	construction	construction	NOUN
aiti-11169	137	12	2.4	2.4	NUM
aiti-11169	137	13	.	.	PUNCT
aiti-11169	137	14	plant	plant	NOUN
aiti-11169	137	15	root	root	NOUN
aiti-11169	137	16	system	system	NOUN
aiti-11169	137	17	algorithm	algorithm	NOUN
aiti-11169	137	18	in	in	ADP
aiti-11169	137	19	plants	plant	NOUN
aiti-11169	137	20	,	,	PUNCT
aiti-11169	137	21	either	either	CCONJ
aiti-11169	137	22	the	the	DET
aiti-11169	137	23	radicle	radicle	NOUN
aiti-11169	137	24	or	or	CCONJ
aiti-11169	137	25	primary	primary	ADJ
aiti-11169	137	26	root	root	NOUN
aiti-11169	137	27	is	be	AUX
aiti-11169	137	28	the	the	DET
aiti-11169	137	29	first	first	ADJ
aiti-11169	137	30	organ	organ	NOUN
aiti-11169	137	31	to	to	PART
aiti-11169	137	32	emerge	emerge	VERB
aiti-11169	137	33	from	from	ADP
aiti-11169	137	34	the	the	DET
aiti-11169	137	35	seed	seed	NOUN
aiti-11169	137	36	coat	coat	NOUN
aiti-11169	137	37	.	.	PUNCT
aiti-11169	138	1	before	before	ADP
aiti-11169	138	2	the	the	DET
aiti-11169	138	3	first	first	ADJ
aiti-11169	138	4	leaf	leaf	NOUN
aiti-11169	138	5	grows	grow	NOUN
aiti-11169	138	6	,	,	PUNCT
aiti-11169	138	7	the	the	DET
aiti-11169	138	8	energy	energy	NOUN
aiti-11169	138	9	required	require	VERB
aiti-11169	138	10	by	by	ADP
aiti-11169	138	11	the	the	DET
aiti-11169	138	12	cotyledon	cotyledon	NOUN
aiti-11169	138	13	for	for	ADP
aiti-11169	138	14	root	root	NOUN
aiti-11169	138	15	development	development	NOUN
aiti-11169	138	16	comes	come	VERB
aiti-11169	138	17	from	from	ADP
aiti-11169	138	18	the	the	DET
aiti-11169	138	19	seed	seed	NOUN
aiti-11169	138	20	itself	itself	PRON
aiti-11169	138	21	.	.	PUNCT
aiti-11169	139	1	additional	additional	ADJ
aiti-11169	139	2	inorganic	inorganic	ADJ
aiti-11169	139	3	nutrients	nutrient	NOUN
aiti-11169	139	4	(	(	PUNCT
aiti-11169	139	5	including	include	VERB
aiti-11169	139	6	water	water	NOUN
aiti-11169	139	7	)	)	PUNCT
aiti-11169	139	8	are	be	AUX
aiti-11169	139	9	essential	essential	ADJ
aiti-11169	139	10	.	.	PUNCT
aiti-11169	140	1	only	only	ADV
aiti-11169	140	2	a	a	DET
aiti-11169	140	3	small	small	ADJ
aiti-11169	140	4	fraction	fraction	NOUN
aiti-11169	140	5	of	of	ADP
aiti-11169	140	6	these	these	DET
aiti-11169	140	7	nutrients	nutrient	NOUN
aiti-11169	140	8	come	come	VERB
aiti-11169	140	9	from	from	ADP
aiti-11169	140	10	the	the	DET
aiti-11169	140	11	seed	seed	NOUN
aiti-11169	140	12	itself	itself	PRON
aiti-11169	140	13	,	,	PUNCT
aiti-11169	140	14	and	and	CCONJ
aiti-11169	140	15	the	the	DET
aiti-11169	140	16	rests	rest	NOUN
aiti-11169	140	17	are	be	AUX
aiti-11169	140	18	from	from	ADP
aiti-11169	140	19	the	the	DET
aiti-11169	140	20	surrounding	surround	VERB
aiti-11169	140	21	soil	soil	NOUN
aiti-11169	140	22	which	which	PRON
aiti-11169	140	23	contains	contain	VERB
aiti-11169	140	24	mineral	mineral	NOUN
aiti-11169	140	25	nutrients	nutrient	NOUN
aiti-11169	140	26	[	[	X
aiti-11169	140	27	21	21	NUM
aiti-11169	140	28	]	]	PUNCT
aiti-11169	140	29	.	.	PUNCT
aiti-11169	141	1	the	the	DET
aiti-11169	141	2	rule	rule	NOUN
aiti-11169	141	3	that	that	PRON
aiti-11169	141	4	is	be	AUX
aiti-11169	141	5	inherent	inherent	ADJ
aiti-11169	141	6	in	in	ADP
aiti-11169	141	7	the	the	DET
aiti-11169	141	8	genes	gene	NOUN
aiti-11169	141	9	of	of	ADP
aiti-11169	141	10	higher	high	ADJ
aiti-11169	141	11	plants	plant	NOUN
aiti-11169	141	12	is	be	AUX
aiti-11169	141	13	to	to	PART
aiti-11169	141	14	develop	develop	VERB
aiti-11169	141	15	a	a	DET
aiti-11169	141	16	sufficiently	sufficiently	ADV
aiti-11169	141	17	large	large	ADJ
aiti-11169	141	18	first	first	ADJ
aiti-11169	141	19	leaf	leaf	NOUN
aiti-11169	141	20	and	and	CCONJ
aiti-11169	141	21	long	long	ADJ
aiti-11169	141	22	roots	root	NOUN
aiti-11169	141	23	before	before	SCONJ
aiti-11169	141	24	the	the	DET
aiti-11169	141	25	energy	energy	NOUN
aiti-11169	141	26	stored	store	VERB
aiti-11169	141	27	in	in	ADP
aiti-11169	141	28	the	the	DET
aiti-11169	141	29	seed	seed	NOUN
aiti-11169	141	30	is	be	AUX
aiti-11169	141	31	exhausted	exhaust	VERB
aiti-11169	141	32	.	.	PUNCT
aiti-11169	142	1	the	the	DET
aiti-11169	142	2	proposed	propose	VERB
aiti-11169	142	3	algorithm	algorithm	NOUN
aiti-11169	142	4	follows	follow	VERB
aiti-11169	142	5	this	this	DET
aiti-11169	142	6	rule	rule	NOUN
aiti-11169	142	7	.	.	PUNCT
aiti-11169	143	1	as	as	SCONJ
aiti-11169	143	2	organic	organic	ADJ
aiti-11169	143	3	matter	matter	NOUN
aiti-11169	143	4	can	can	AUX
aiti-11169	143	5	not	not	PART
aiti-11169	143	6	be	be	AUX
aiti-11169	143	7	synthesized	synthesize	VERB
aiti-11169	143	8	by	by	ADP
aiti-11169	143	9	photosynthesis	photosynthesis	NOUN
aiti-11169	143	10	before	before	SCONJ
aiti-11169	143	11	the	the	DET
aiti-11169	143	12	first	first	ADJ
aiti-11169	143	13	leaf	leaf	NOUN
aiti-11169	143	14	has	have	AUX
aiti-11169	143	15	grown	grow	VERB
aiti-11169	143	16	,	,	PUNCT
aiti-11169	143	17	the	the	DET
aiti-11169	143	18	task	task	NOUN
aiti-11169	143	19	is	be	AUX
aiti-11169	143	20	to	to	PART
aiti-11169	143	21	absorb	absorb	VERB
aiti-11169	143	22	more	more	ADJ
aiti-11169	143	23	mineral	mineral	NOUN
aiti-11169	143	24	nutrients	nutrient	NOUN
aiti-11169	143	25	by	by	ADP
aiti-11169	143	26	growing	grow	VERB
aiti-11169	143	27	a	a	DET
aiti-11169	143	28	sufficient	sufficient	ADJ
aiti-11169	143	29	large	large	ADJ
aiti-11169	143	30	root	root	NOUN
aiti-11169	143	31	system	system	NOUN
aiti-11169	143	32	with	with	ADP
aiti-11169	143	33	limited	limited	ADJ
aiti-11169	143	34	energy	energy	NOUN
aiti-11169	143	35	(	(	PUNCT
aiti-11169	143	36	root	root	NOUN
aiti-11169	143	37	division	division	NOUN
aiti-11169	143	38	)	)	PUNCT
aiti-11169	143	39	in	in	ADP
aiti-11169	143	40	a	a	DET
aiti-11169	143	41	limited	limited	ADJ
aiti-11169	143	42	time	time	NOUN
aiti-11169	143	43	.	.	PUNCT
aiti-11169	144	1	the	the	DET
aiti-11169	144	2	matrix	matrix	NOUN
aiti-11169	144	3	distribution	distribution	NOUN
aiti-11169	144	4	for	for	ADP
aiti-11169	144	5	the	the	DET
aiti-11169	144	6	roots	root	NOUN
aiti-11169	144	7	in	in	ADP
aiti-11169	144	8	the	the	DET
aiti-11169	144	9	soil	soil	NOUN
aiti-11169	144	10	is	be	AUX
aiti-11169	144	11	hereafter	hereafter	ADV
aiti-11169	144	12	referred	refer	VERB
aiti-11169	144	13	to	to	ADP
aiti-11169	144	14	as	as	ADP
aiti-11169	144	15	the	the	DET
aiti-11169	144	16	root	root	NOUN
aiti-11169	144	17	matrix	matrix	NOUN
aiti-11169	144	18	.	.	PUNCT
aiti-11169	145	1	in	in	ADP
aiti-11169	145	2	the	the	DET
aiti-11169	145	3	proposed	propose	VERB
aiti-11169	145	4	approach	approach	NOUN
aiti-11169	145	5	,	,	PUNCT
aiti-11169	145	6	the	the	DET
aiti-11169	145	7	aforementioned	aforementione	VERB
aiti-11169	145	8	natural	natural	ADJ
aiti-11169	145	9	processes	process	NOUN
aiti-11169	145	10	must	must	AUX
aiti-11169	145	11	be	be	AUX
aiti-11169	145	12	transformed	transform	VERB
aiti-11169	145	13	into	into	ADP
aiti-11169	145	14	a	a	DET
aiti-11169	145	15	data	data	NOUN
aiti-11169	145	16	-	-	PUNCT
aiti-11169	145	17	processing	processing	NOUN
aiti-11169	145	18	program	program	NOUN
aiti-11169	145	19	.	.	PUNCT
aiti-11169	146	1	first	first	ADV
aiti-11169	146	2	,	,	PUNCT
aiti-11169	146	3	the	the	DET
aiti-11169	146	4	root	root	NOUN
aiti-11169	146	5	and	and	CCONJ
aiti-11169	146	6	nutrient	nutrient	NOUN
aiti-11169	146	7	matrices	matrix	NOUN
aiti-11169	146	8	form	form	VERB
aiti-11169	146	9	a	a	DET
aiti-11169	146	10	four	four	NUM
aiti-11169	146	11	-	-	PUNCT
aiti-11169	146	12	dimensional	dimensional	ADJ
aiti-11169	146	13	tensor	tensor	NOUN
aiti-11169	146	14	,	,	PUNCT
aiti-11169	146	15	as	as	SCONJ
aiti-11169	146	16	shown	show	VERB
aiti-11169	146	17	in	in	ADP
aiti-11169	146	18	fig	fig	NOUN
aiti-11169	146	19	.	.	PUNCT
aiti-11169	147	1	2	2	X
aiti-11169	147	2	.	.	X
aiti-11169	147	3	the	the	DET
aiti-11169	147	4	initial	initial	ADJ
aiti-11169	147	5	root	root	NOUN
aiti-11169	147	6	matrix	matrix	NOUN
aiti-11169	147	7	is	be	AUX
aiti-11169	147	8	a	a	DET
aiti-11169	147	9	zero	zero	NUM
aiti-11169	147	10	matrix	matrix	NOUN
aiti-11169	147	11	,	,	PUNCT
aiti-11169	147	12	where	where	SCONJ
aiti-11169	147	13	the	the	DET
aiti-11169	147	14	upper	upper	ADJ
aiti-11169	147	15	-	-	PUNCT
aiti-11169	147	16	center	center	NOUN
aiti-11169	147	17	location	location	NOUN
aiti-11169	147	18	assigning	assign	VERB
aiti-11169	147	19	values	value	NOUN
aiti-11169	147	20	can	can	AUX
aiti-11169	147	21	create	create	VERB
aiti-11169	147	22	a	a	DET
aiti-11169	147	23	radicle	radicle	NOUN
aiti-11169	147	24	matrix	matrix	NOUN
aiti-11169	147	25	.	.	PUNCT
aiti-11169	148	1	to	to	PART
aiti-11169	148	2	absorb	absorb	VERB
aiti-11169	148	3	more	more	ADJ
aiti-11169	148	4	nutrients	nutrient	NOUN
aiti-11169	148	5	,	,	PUNCT
aiti-11169	148	6	the	the	DET
aiti-11169	148	7	rule	rule	NOUN
aiti-11169	148	8	of	of	ADP
aiti-11169	148	9	root	root	NOUN
aiti-11169	148	10	division	division	NOUN
aiti-11169	148	11	advances	advance	NOUN
aiti-11169	148	12	in	in	ADP
aiti-11169	148	13	technology	technology	NOUN
aiti-11169	148	14	innovation	innovation	NOUN
aiti-11169	148	15	,	,	PUNCT
aiti-11169	148	16	vol	vol	NOUN
aiti-11169	148	17	.	.	PROPN
aiti-11169	148	18	8	8	NUM
aiti-11169	148	19	,	,	PUNCT
aiti-11169	148	20	no	no	INTJ
aiti-11169	148	21	.	.	NOUN
aiti-11169	148	22	3	3	NUM
aiti-11169	148	23	,	,	PUNCT
aiti-11169	148	24	2023	2023	NUM
aiti-11169	148	25	,	,	PUNCT
aiti-11169	148	26	pp	pp	ADJ
aiti-11169	148	27	.	.	PUNCT
aiti-11169	149	1	163	163	NUM
aiti-11169	149	2	-	-	SYM
aiti-11169	149	3	176	176	NUM
aiti-11169	149	4	168	168	NUM
aiti-11169	149	5	is	be	AUX
aiti-11169	149	6	to	to	PART
aiti-11169	149	7	preferentially	preferentially	ADV
aiti-11169	149	8	proliferate	proliferate	VERB
aiti-11169	149	9	at	at	ADP
aiti-11169	149	10	the	the	DET
aiti-11169	149	11	global	global	ADJ
aiti-11169	149	12	maximum	maximum	NOUN
aiti-11169	149	13	in	in	ADP
aiti-11169	149	14	the	the	DET
aiti-11169	149	15	mapping	mapping	NOUN
aiti-11169	149	16	nutrient	nutrient	NOUN
aiti-11169	149	17	matrix	matrix	NOUN
aiti-11169	149	18	.	.	PUNCT
aiti-11169	150	1	neighboring	neighboring	NOUN
aiti-11169	150	2	root	root	NOUN
aiti-11169	150	3	tips	tip	NOUN
aiti-11169	150	4	are	be	AUX
aiti-11169	150	5	also	also	ADV
aiti-11169	150	6	necessary	necessary	ADJ
aiti-11169	150	7	.	.	PUNCT
aiti-11169	151	1	the	the	DET
aiti-11169	151	2	radicle	radicle	NOUN
aiti-11169	151	3	matrix	matrix	NOUN
aiti-11169	151	4	,	,	PUNCT
aiti-11169	151	5	photosynthetic	photosynthetic	ADJ
aiti-11169	151	6	day	day	NOUN
aiti-11169	151	7	,	,	PUNCT
aiti-11169	151	8	and	and	CCONJ
aiti-11169	151	9	daily	daily	ADJ
aiti-11169	151	10	root	root	NOUN
aiti-11169	151	11	division	division	NOUN
aiti-11169	151	12	are	be	AUX
aiti-11169	151	13	used	use	VERB
aiti-11169	151	14	as	as	ADP
aiti-11169	151	15	modification	modification	NOUN
aiti-11169	151	16	parameters	parameter	NOUN
aiti-11169	151	17	.	.	PUNCT
aiti-11169	152	1	the	the	DET
aiti-11169	152	2	developmental	developmental	ADJ
aiti-11169	152	3	process	process	NOUN
aiti-11169	152	4	can	can	AUX
aiti-11169	152	5	be	be	AUX
aiti-11169	152	6	characterized	characterize	VERB
aiti-11169	152	7	by	by	ADP
aiti-11169	152	8	the	the	DET
aiti-11169	152	9	root	root	NOUN
aiti-11169	152	10	distribution	distribution	NOUN
aiti-11169	152	11	area	area	NOUN
aiti-11169	152	12	and	and	CCONJ
aiti-11169	152	13	total	total	ADJ
aiti-11169	152	14	nutrient	nutrient	NOUN
aiti-11169	152	15	absorption	absorption	NOUN
aiti-11169	152	16	.	.	PUNCT
aiti-11169	153	1	fig	fig	NOUN
aiti-11169	153	2	.	.	PUNCT
aiti-11169	154	1	3	3	NUM
aiti-11169	154	2	shows	show	VERB
aiti-11169	154	3	the	the	DET
aiti-11169	154	4	natural	natural	ADJ
aiti-11169	154	5	and	and	CCONJ
aiti-11169	154	6	digital	digital	ADJ
aiti-11169	154	7	processes	process	NOUN
aiti-11169	154	8	used	use	VERB
aiti-11169	154	9	to	to	PART
aiti-11169	154	10	build	build	VERB
aiti-11169	154	11	a	a	DET
aiti-11169	154	12	brain	brain	NOUN
aiti-11169	154	13	-	-	PUNCT
aiti-11169	154	14	like	like	ADJ
aiti-11169	154	15	root	root	NOUN
aiti-11169	154	16	system	system	NOUN
aiti-11169	154	17	.	.	PUNCT
aiti-11169	155	1	the	the	DET
aiti-11169	155	2	figure	figure	NOUN
aiti-11169	155	3	also	also	ADV
aiti-11169	155	4	depicts	depict	VERB
aiti-11169	155	5	that	that	SCONJ
aiti-11169	155	6	the	the	DET
aiti-11169	155	7	growth	growth	NOUN
aiti-11169	155	8	of	of	ADP
aiti-11169	155	9	digital	digital	ADJ
aiti-11169	155	10	roots	root	NOUN
aiti-11169	155	11	is	be	AUX
aiti-11169	155	12	dependent	dependent	ADJ
aiti-11169	155	13	on	on	ADP
aiti-11169	155	14	the	the	DET
aiti-11169	155	15	base	base	NOUN
aiti-11169	155	16	features	feature	VERB
aiti-11169	155	17	in	in	ADP
aiti-11169	155	18	this	this	DET
aiti-11169	155	19	study	study	NOUN
aiti-11169	155	20	.	.	PUNCT
aiti-11169	156	1	by	by	ADP
aiti-11169	156	2	extracting	extract	VERB
aiti-11169	156	3	the	the	DET
aiti-11169	156	4	prs	prs	NOUN
aiti-11169	156	5	features	feature	VERB
aiti-11169	156	6	from	from	ADP
aiti-11169	156	7	the	the	DET
aiti-11169	156	8	brain	brain	NOUN
aiti-11169	156	9	-	-	PUNCT
aiti-11169	156	10	like	like	ADJ
aiti-11169	156	11	root	root	NOUN
aiti-11169	156	12	system	system	NOUN
aiti-11169	156	13	,	,	PUNCT
aiti-11169	156	14	the	the	DET
aiti-11169	156	15	correlation	correlation	NOUN
aiti-11169	156	16	with	with	ADP
aiti-11169	156	17	the	the	DET
aiti-11169	156	18	base	base	NOUN
aiti-11169	156	19	features	feature	NOUN
aiti-11169	156	20	is	be	AUX
aiti-11169	156	21	reduced	reduce	VERB
aiti-11169	156	22	.	.	PUNCT
aiti-11169	157	1	fig	fig	NOUN
aiti-11169	157	2	.	.	PUNCT
aiti-11169	158	1	2	2	NUM
aiti-11169	158	2	four	four	NUM
aiti-11169	158	3	-	-	PUNCT
aiti-11169	158	4	dimensional	dimensional	ADJ
aiti-11169	158	5	data	datum	NOUN
aiti-11169	158	6	tensor	tensor	NOUN
aiti-11169	158	7	of	of	ADP
aiti-11169	158	8	biomedical	biomedical	ADJ
aiti-11169	158	9	signals	signal	NOUN
aiti-11169	158	10	fig	fig	NOUN
aiti-11169	158	11	.	.	PUNCT
aiti-11169	159	1	3	3	NUM
aiti-11169	159	2	natural	natural	ADJ
aiti-11169	159	3	and	and	CCONJ
aiti-11169	159	4	digital	digital	ADJ
aiti-11169	159	5	processes	process	NOUN
aiti-11169	159	6	for	for	ADP
aiti-11169	159	7	building	build	VERB
aiti-11169	159	8	brain	brain	NOUN
aiti-11169	159	9	-	-	PUNCT
aiti-11169	159	10	like	like	ADJ
aiti-11169	159	11	root	root	NOUN
aiti-11169	159	12	systems	system	NOUN
aiti-11169	159	13	in	in	ADP
aiti-11169	159	14	table	table	NOUN
aiti-11169	159	15	2	2	NUM
aiti-11169	159	16	,	,	PUNCT
aiti-11169	159	17	the	the	DET
aiti-11169	159	18	root	root	NOUN
aiti-11169	159	19	growth	growth	NOUN
aiti-11169	159	20	process	process	NOUN
aiti-11169	159	21	can	can	AUX
aiti-11169	159	22	be	be	AUX
aiti-11169	159	23	written	write	VERB
aiti-11169	159	24	as	as	ADP
aiti-11169	159	25	a	a	DET
aiti-11169	159	26	pseudocode	pseudocode	NOUN
aiti-11169	159	27	.	.	PUNCT
aiti-11169	160	1	in	in	ADP
aiti-11169	160	2	the	the	DET
aiti-11169	160	3	proposed	propose	VERB
aiti-11169	160	4	algorithm	algorithm	NOUN
aiti-11169	160	5	,	,	PUNCT
aiti-11169	160	6	the	the	DET
aiti-11169	160	7	core	core	NOUN
aiti-11169	160	8	steps	step	NOUN
aiti-11169	160	9	of	of	ADP
aiti-11169	160	10	root	root	NOUN
aiti-11169	160	11	development	development	NOUN
aiti-11169	160	12	involve	involve	VERB
aiti-11169	160	13	seeking	seek	VERB
aiti-11169	160	14	the	the	DET
aiti-11169	160	15	global	global	ADJ
aiti-11169	160	16	maximum	maximum	ADJ
aiti-11169	160	17	location	location	NOUN
aiti-11169	160	18	of	of	ADP
aiti-11169	160	19	the	the	DET
aiti-11169	160	20	nutrient	nutrient	NOUN
aiti-11169	160	21	matrix	matrix	NOUN
aiti-11169	160	22	map	map	NOUN
aiti-11169	160	23	relative	relative	ADJ
aiti-11169	160	24	to	to	ADP
aiti-11169	160	25	the	the	DET
aiti-11169	160	26	root	root	NOUN
aiti-11169	160	27	matrix	matrix	NOUN
aiti-11169	160	28	location	location	NOUN
aiti-11169	160	29	using	use	VERB
aiti-11169	160	30	a	a	DET
aiti-11169	160	31	tensor	tensor	NOUN
aiti-11169	160	32	of	of	ADP
aiti-11169	160	33	a	a	DET
aiti-11169	160	34	biomedical	biomedical	ADJ
aiti-11169	160	35	signal	signal	NOUN
aiti-11169	160	36	base	base	NOUN
aiti-11169	160	37	feature	feature	NOUN
aiti-11169	160	38	set	set	VERB
aiti-11169	160	39	.	.	PUNCT
aiti-11169	161	1	the	the	DET
aiti-11169	161	2	entire	entire	ADJ
aiti-11169	161	3	root	root	NOUN
aiti-11169	161	4	system	system	NOUN
aiti-11169	161	5	makes	make	VERB
aiti-11169	161	6	decisions	decision	NOUN
aiti-11169	161	7	in	in	ADP
aiti-11169	161	8	a	a	DET
aiti-11169	161	9	brain	brain	NOUN
aiti-11169	161	10	-	-	PUNCT
aiti-11169	161	11	like	like	ADJ
aiti-11169	161	12	fashion	fashion	NOUN
aiti-11169	161	13	to	to	PART
aiti-11169	161	14	improve	improve	VERB
aiti-11169	161	15	total	total	ADJ
aiti-11169	161	16	nutrient	nutrient	NOUN
aiti-11169	161	17	absorption	absorption	NOUN
aiti-11169	161	18	.	.	PUNCT
aiti-11169	162	1	the	the	DET
aiti-11169	162	2	root	root	NOUN
aiti-11169	162	3	distribution	distribution	NOUN
aiti-11169	162	4	can	can	AUX
aiti-11169	162	5	be	be	AUX
aiti-11169	162	6	drawn	draw	VERB
aiti-11169	162	7	in	in	ADP
aiti-11169	162	8	the	the	DET
aiti-11169	162	9	coordinate	coordinate	NOUN
aiti-11169	162	10	system	system	NOUN
aiti-11169	162	11	as	as	ADP
aiti-11169	162	12	a	a	DET
aiti-11169	162	13	polygon	polygon	NOUN
aiti-11169	162	14	.	.	PUNCT
aiti-11169	163	1	the	the	DET
aiti-11169	163	2	area	area	NOUN
aiti-11169	163	3	of	of	ADP
aiti-11169	163	4	this	this	DET
aiti-11169	163	5	polygon	polygon	NOUN
aiti-11169	163	6	serves	serve	VERB
aiti-11169	163	7	as	as	ADP
aiti-11169	163	8	a	a	DET
aiti-11169	163	9	feature	feature	NOUN
aiti-11169	163	10	.	.	PUNCT
aiti-11169	164	1	this	this	DET
aiti-11169	164	2	study	study	NOUN
aiti-11169	164	3	uses	use	VERB
aiti-11169	164	4	a	a	DET
aiti-11169	164	5	well	well	ADV
aiti-11169	164	6	-	-	PUNCT
aiti-11169	164	7	known	know	VERB
aiti-11169	164	8	tool	tool	NOUN
aiti-11169	164	9	to	to	PART
aiti-11169	164	10	calculate	calculate	VERB
aiti-11169	164	11	the	the	DET
aiti-11169	164	12	polygon	polygon	NOUN
aiti-11169	164	13	area	area	NOUN
aiti-11169	164	14	proposed	propose	VERB
aiti-11169	164	15	by	by	ADP
aiti-11169	164	16	paul	paul	PROPN
aiti-11169	164	17	bourke	bourke	PROPN
aiti-11169	164	18	in	in	ADP
aiti-11169	164	19	1988	1988	NUM
aiti-11169	164	20	.	.	PUNCT
aiti-11169	165	1	the	the	DET
aiti-11169	165	2	procedure	procedure	NOUN
aiti-11169	165	3	provided	provide	VERB
aiti-11169	165	4	two	two	NUM
aiti-11169	165	5	results	result	NOUN
aiti-11169	165	6	,	,	PUNCT
aiti-11169	165	7	which	which	PRON
aiti-11169	165	8	are	be	AUX
aiti-11169	165	9	both	both	PRON
aiti-11169	165	10	referred	refer	VERB
aiti-11169	165	11	to	to	ADP
aiti-11169	165	12	as	as	ADP
aiti-11169	165	13	prs	prs	NOUN
aiti-11169	165	14	features	feature	NOUN
aiti-11169	165	15	:	:	PUNCT
aiti-11169	165	16	nutrient	nutrient	NOUN
aiti-11169	165	17	feature	feature	NOUN
aiti-11169	165	18	(	(	PUNCT
aiti-11169	165	19	nf	nf	INTJ
aiti-11169	165	20	)	)	PUNCT
aiti-11169	165	21	,	,	PUNCT
aiti-11169	165	22	representing	represent	VERB
aiti-11169	165	23	the	the	DET
aiti-11169	165	24	total	total	ADJ
aiti-11169	165	25	number	number	NOUN
aiti-11169	165	26	of	of	ADP
aiti-11169	165	27	nutrients	nutrient	NOUN
aiti-11169	165	28	absorbed	absorb	VERB
aiti-11169	165	29	during	during	ADP
aiti-11169	165	30	root	root	NOUN
aiti-11169	165	31	system	system	NOUN
aiti-11169	165	32	development	development	NOUN
aiti-11169	165	33	in	in	ADP
aiti-11169	165	34	the	the	DET
aiti-11169	165	35	digitized	digitize	VERB
aiti-11169	165	36	soil	soil	NOUN
aiti-11169	165	37	;	;	PUNCT
aiti-11169	165	38	and	and	CCONJ
aiti-11169	165	39	root	root	NOUN
aiti-11169	165	40	feature	feature	NOUN
aiti-11169	165	41	(	(	PUNCT
aiti-11169	165	42	rf	rf	NOUN
aiti-11169	165	43	)	)	PUNCT
aiti-11169	165	44	,	,	PUNCT
aiti-11169	165	45	representing	represent	VERB
aiti-11169	165	46	the	the	DET
aiti-11169	165	47	area	area	NOUN
aiti-11169	165	48	of	of	ADP
aiti-11169	165	49	root	root	NOUN
aiti-11169	165	50	distribution	distribution	NOUN
aiti-11169	165	51	.	.	PUNCT
aiti-11169	166	1	the	the	DET
aiti-11169	166	2	calculations	calculation	NOUN
aiti-11169	166	3	of	of	ADP
aiti-11169	166	4	nf	nf	NOUN
aiti-11169	166	5	and	and	CCONJ
aiti-11169	166	6	rf	rf	PRON
aiti-11169	166	7	are	be	AUX
aiti-11169	166	8	shown	show	VERB
aiti-11169	166	9	in	in	ADP
aiti-11169	166	10	table	table	NOUN
aiti-11169	166	11	2	2	NUM
aiti-11169	166	12	as	as	ADP
aiti-11169	166	13	the	the	DET
aiti-11169	166	14	nutrient	nutrient	NOUN
aiti-11169	166	15	amount	amount	NOUN
aiti-11169	166	16	(	(	PUNCT
aiti-11169	166	17	na	na	NOUN
aiti-11169	166	18	)	)	PUNCT
aiti-11169	166	19	and	and	CCONJ
aiti-11169	166	20	area	area	NOUN
aiti-11169	166	21	(	(	PUNCT
aiti-11169	166	22	a	a	NOUN
aiti-11169	166	23	)	)	PUNCT
aiti-11169	166	24	.	.	PUNCT
aiti-11169	167	1	a	a	PRON
aiti-11169	167	2	is	be	AUX
aiti-11169	167	3	calculated	calculate	VERB
aiti-11169	167	4	based	base	VERB
aiti-11169	167	5	on	on	ADP
aiti-11169	167	6	eq	eq	ADP
aiti-11169	167	7	.	.	PUNCT
aiti-11169	168	1	(	(	PUNCT
aiti-11169	168	2	8)	8)	NUM
aiti-11169	168	3	and	and	CCONJ
aiti-11169	168	4	fig	fig	NOUN
aiti-11169	168	5	.	.	PUNCT
aiti-11169	169	1	4	4	NUM
aiti-11169	169	2	,	,	PUNCT
aiti-11169	169	3	wherein	wherein	SCONJ
aiti-11169	169	4	the	the	DET
aiti-11169	169	5	polygon	polygon	NOUN
aiti-11169	169	6	is	be	AUX
aiti-11169	169	7	closed	close	VERB
aiti-11169	169	8	and	and	CCONJ
aiti-11169	169	9	composed	compose	VERB
aiti-11169	169	10	of	of	ADP
aiti-11169	169	11	line	line	NOUN
aiti-11169	169	12	segments	segment	NOUN
aiti-11169	169	13	between	between	ADP
aiti-11169	169	14	n	n	PRON
aiti-11169	169	15	vertices	vertice	VERB
aiti-11169	169	16	4	4	NUM
aiti-11169	169	17	�	�	NOUN
aiti-11169	169	18	'	'	PUNCT
aiti-11169	169	19	,	,	PUNCT
aiti-11169	169	20	5'6	5'6	NUM
aiti-11169	169	21	,	,	PUNCT
aiti-11169	169	22	7	7	NUM
aiti-11169	169	23	=	=	SYM
aiti-11169	169	24	0	0	NUM
aiti-11169	169	25	to	to	ADP
aiti-11169	169	26	9	9	NUM
aiti-11169	169	27	−	−	NUM
aiti-11169	169	28	1	1	NUM
aiti-11169	169	29	.	.	PUNCT
aiti-11169	170	1	(	(	PUNCT
aiti-11169	170	2	)	)	PUNCT
aiti-11169	170	3	1	1	NUM
aiti-11169	170	4	1	1	NUM
aiti-11169	170	5	1	1	NUM
aiti-11169	170	6	0	0	NUM
aiti-11169	170	7	1	1	NUM
aiti-11169	170	8	2	2	NUM
aiti-11169	170	9	n	n	NOUN
aiti-11169	171	1	i	i	PRON
aiti-11169	171	2	i	i	PRON
aiti-11169	172	1	i	i	PRON
aiti-11169	172	2	i	i	PRON
aiti-11169	172	3	i	i	PRON
aiti-11169	173	1	a	a	DET
aiti-11169	173	2	p	p	X
aiti-11169	173	3	q	q	X
aiti-11169	173	4	p	p	X
aiti-11169	173	5	q	q	X
aiti-11169	173	6	−	−	PROPN
aiti-11169	174	1	+	+	CCONJ
aiti-11169	174	2	+	+	NUM
aiti-11169	174	3	=	=	SYM
aiti-11169	174	4	=	=	SYM
aiti-11169	174	5	−	−	NUM
aiti-11169	174	6	(	(	PUNCT
aiti-11169	174	7	8)	8)	NUM
aiti-11169	174	8	advances	advance	NOUN
aiti-11169	174	9	in	in	ADP
aiti-11169	174	10	technology	technology	NOUN
aiti-11169	174	11	innovation	innovation	NOUN
aiti-11169	174	12	,	,	PUNCT
aiti-11169	174	13	vol	vol	NOUN
aiti-11169	174	14	.	.	PROPN
aiti-11169	174	15	8	8	NUM
aiti-11169	174	16	,	,	PUNCT
aiti-11169	174	17	no	no	INTJ
aiti-11169	174	18	.	.	NOUN
aiti-11169	174	19	3	3	NUM
aiti-11169	174	20	,	,	PUNCT
aiti-11169	174	21	2023	2023	NUM
aiti-11169	174	22	,	,	PUNCT
aiti-11169	174	23	pp	pp	ADJ
aiti-11169	174	24	.	.	PUNCT
aiti-11169	175	1	163	163	NUM
aiti-11169	175	2	-	-	SYM
aiti-11169	175	3	176	176	NUM
aiti-11169	175	4	169	169	NUM
aiti-11169	175	5	fig	fig	NOUN
aiti-11169	175	6	.	.	PUNCT
aiti-11169	176	1	4	4	NUM
aiti-11169	176	2	example	example	NOUN
aiti-11169	176	3	of	of	ADP
aiti-11169	176	4	10	10	NUM
aiti-11169	176	5	-	-	PUNCT
aiti-11169	176	6	vertex	vertex	NOUN
aiti-11169	176	7	closed	closed	ADJ
aiti-11169	176	8	polygon	polygon	NOUN
aiti-11169	176	9	constructed	construct	VERB
aiti-11169	176	10	from	from	ADP
aiti-11169	176	11	a	a	DET
aiti-11169	176	12	root	root	NOUN
aiti-11169	176	13	matrix	matrix	NOUN
aiti-11169	176	14	table	table	NOUN
aiti-11169	176	15	2	2	NUM
aiti-11169	176	16	plant	plant	NOUN
aiti-11169	176	17	root	root	NOUN
aiti-11169	176	18	system	system	NOUN
aiti-11169	176	19	algorithm	algorithm	NOUN
aiti-11169	176	20	algorithm	algorithm	NOUN
aiti-11169	176	21	1	1	NUM
aiti-11169	176	22	plant	plant	NOUN
aiti-11169	176	23	root	root	NOUN
aiti-11169	176	24	system	system	NOUN
aiti-11169	176	25	pseudocode	pseudocode	NOUN
aiti-11169	176	26	comments	comment	NOUN
aiti-11169	176	27	1	1	NUM
aiti-11169	176	28	input	input	NOUN
aiti-11169	176	29	:	:	PUNCT
aiti-11169	176	30	2	2	NUM
aiti-11169	176	31	:	:	PUNCT
aiti-11169	176	32	ℝ&×	ℝ&×	NUM
aiti-11169	176	33	<	<	X
aiti-11169	176	34	:	:	PUNCT
aiti-11169	176	35	distribution	distribution	NOUN
aiti-11169	176	36	of	of	ADP
aiti-11169	176	37	the	the	DET
aiti-11169	176	38	radicle	radicle	NOUN
aiti-11169	176	39	in	in	ADP
aiti-11169	176	40	soil	soil	NOUN
aiti-11169	176	41	(	(	PUNCT
aiti-11169	176	42	initial	initial	ADJ
aiti-11169	176	43	root	root	NOUN
aiti-11169	176	44	matrix	matrix	NOUN
aiti-11169	176	45	)	)	PUNCT
aiti-11169	176	46	;	;	PUNCT
aiti-11169	176	47	x	x	X
aiti-11169	176	48	,	,	PUNCT
aiti-11169	176	49	y	y	PROPN
aiti-11169	176	50	are	be	AUX
aiti-11169	176	51	the	the	DET
aiti-11169	176	52	number	number	NOUN
aiti-11169	176	53	of	of	ADP
aiti-11169	176	54	rows	row	NOUN
aiti-11169	176	55	and	and	CCONJ
aiti-11169	176	56	columns	column	NOUN
aiti-11169	176	57	of	of	ADP
aiti-11169	176	58	the	the	DET
aiti-11169	176	59	distribution	distribution	NOUN
aiti-11169	176	60	matrix	matrix	NOUN
aiti-11169	176	61	3	3	NUM
aiti-11169	176	62	:	:	PUNCT
aiti-11169	176	63	ℕ&×	ℕ&×	NOUN
aiti-11169	176	64	<	<	NOUN
aiti-11169	176	65	:	:	PUNCT
aiti-11169	176	66	distribution	distribution	NOUN
aiti-11169	176	67	of	of	ADP
aiti-11169	176	68	nutrients	nutrient	NOUN
aiti-11169	176	69	in	in	ADP
aiti-11169	176	70	the	the	DET
aiti-11169	176	71	soil	soil	NOUN
aiti-11169	176	72	(	(	PUNCT
aiti-11169	176	73	nutrient	nutrient	NOUN
aiti-11169	176	74	matrix	matrix	NOUN
aiti-11169	176	75	)	)	PUNCT
aiti-11169	176	76	;	;	PUNCT
aiti-11169	176	77	4	4	NUM
aiti-11169	176	78	output	output	NOUN
aiti-11169	176	79	:	:	PUNCT
aiti-11169	176	80	5	5	NUM
aiti-11169	176	81	na	na	NOUN
aiti-11169	176	82	:	:	PUNCT
aiti-11169	176	83	nutrients	nutrient	NOUN
aiti-11169	176	84	absorbed	absorb	VERB
aiti-11169	176	85	by	by	ADP
aiti-11169	176	86	the	the	DET
aiti-11169	176	87	roots	root	NOUN
aiti-11169	176	88	;	;	PUNCT
aiti-11169	176	89	6	6	NUM
aiti-11169	176	90	a	a	X
aiti-11169	176	91	:	:	PUNCT
aiti-11169	176	92	root	root	NOUN
aiti-11169	176	93	distribution	distribution	NOUN
aiti-11169	176	94	area	area	NOUN
aiti-11169	176	95	;	;	PUNCT
aiti-11169	176	96	7	7	NUM
aiti-11169	176	97	@$	@$	NOUN
aiti-11169	176	98	←	←	PROPN
aiti-11169	176	99	0	0	NUM
aiti-11169	176	100	;	;	PUNCT
aiti-11169	176	101	8	8	NUM
aiti-11169	176	102	ℝ&×	ℝ&×	NUM
aiti-11169	176	103	<	<	X
aiti-11169	176	104	←	←	PROPN
aiti-11169	176	105	:	:	PUNCT
aiti-11169	176	106	ℝ&×	ℝ&×	PROPN
aiti-11169	176	107	<	<	X
aiti-11169	176	108	;	;	PUNCT
aiti-11169	176	109	ℝ&×	ℝ&×	X
aiti-11169	176	110	<	<	X
aiti-11169	176	111	:	:	PUNCT
aiti-11169	176	112	distribution	distribution	NOUN
aiti-11169	176	113	of	of	ADP
aiti-11169	176	114	the	the	DET
aiti-11169	176	115	growing	grow	VERB
aiti-11169	176	116	root	root	NOUN
aiti-11169	176	117	in	in	ADP
aiti-11169	176	118	the	the	DET
aiti-11169	176	119	soil	soil	NOUN
aiti-11169	176	120	(	(	PUNCT
aiti-11169	176	121	root	root	NOUN
aiti-11169	176	122	matrix	matrix	NOUN
aiti-11169	176	123	)	)	PUNCT
aiti-11169	176	124	9	9	NUM
aiti-11169	176	125	for	for	ADP
aiti-11169	176	126	7	7	NUM
aiti-11169	176	127	=	=	SYM
aiti-11169	176	128	1	1	NUM
aiti-11169	176	129	→	→	SYM
aiti-11169	176	130	/$c	/$c	X
aiti-11169	176	131	do	do	AUX
aiti-11169	176	132	day	day	NOUN
aiti-11169	176	133	is	be	AUX
aiti-11169	176	134	the	the	DET
aiti-11169	176	135	number	number	NOUN
aiti-11169	176	136	of	of	ADP
aiti-11169	176	137	days	day	NOUN
aiti-11169	176	138	for	for	ADP
aiti-11169	176	139	the	the	DET
aiti-11169	176	140	first	first	ADJ
aiti-11169	176	141	leaf	leaf	NOUN
aiti-11169	176	142	to	to	PART
aiti-11169	176	143	appear	appear	VERB
aiti-11169	176	144	10	10	NUM
aiti-11169	176	145	for	for	ADP
aiti-11169	176	146	each	each	DET
aiti-11169	176	147	ℝd&ef,<efg	ℝd&ef,<efg	NOUN
aiti-11169	176	148	=	=	SYM
aiti-11169	176	149	1	1	NUM
aiti-11169	176	150	do	do	AUX
aiti-11169	176	151	�	�	NOUN
aiti-11169	176	152	hi	hi	NOUN
aiti-11169	176	153	∈	∈	PROPN
aiti-11169	176	154	41,2	41,2	NUM
aiti-11169	176	155	,	,	PUNCT
aiti-11169	176	156	…	…	PUNCT
aiti-11169	176	157	,	,	PUNCT
aiti-11169	176	158	�	�	PROPN
aiti-11169	176	159	6	6	NUM
aiti-11169	176	160	,	,	PUNCT
aiti-11169	176	161	chi	chi	PROPN
aiti-11169	176	162	∈	∈	PROPN
aiti-11169	176	163	41,2	41,2	NUM
aiti-11169	176	164	,	,	PUNCT
aiti-11169	176	165	…	…	PUNCT
aiti-11169	176	166	,	,	PUNCT
aiti-11169	176	167	c6	c6	PROPN
aiti-11169	176	168	11	11	NUM
aiti-11169	176	169	k	k	PROPN
aiti-11169	176	170	←	←	PROPN
aiti-11169	176	171	l:ℕd&m	l:ℕd&m	PROPN
aiti-11169	176	172	�	�	PROPN
aiti-11169	176	173	ef,<efg	ef,<efg	PROPN
aiti-11169	176	174	,	,	PUNCT
aiti-11169	176	175	:	:	PUNCT
aiti-11169	176	176	ℕd&n	ℕd&n	PROPN
aiti-11169	176	177	�	�	PROPN
aiti-11169	176	178	ef,<efg	ef,<efg	PROPN
aiti-11169	176	179	,	,	PUNCT
aiti-11169	176	180	:	:	PUNCT
aiti-11169	176	181	ℕd&ef,<m	ℕd&ef,<m	PROPN
aiti-11169	176	182	�	�	PROPN
aiti-11169	176	183	efg	efg	PROPN
aiti-11169	176	184	,	,	PUNCT
aiti-11169	176	185	:	:	PUNCT
aiti-11169	176	186	ℕd&ef,<efn	ℕd&ef,<efn	NOUN
aiti-11169	176	187	�	�	NOUN
aiti-11169	176	188	go	go	VERB
aiti-11169	176	189	;	;	PUNCT
aiti-11169	176	190	ℝd&ef,<efg	ℝd&ef,<efg	PROPN
aiti-11169	176	191	∈	∈	PROPN
aiti-11169	176	192	ℝ&×<ℕd&ef,<efg	ℝ&×<ℕd&ef,<efg	PRON
aiti-11169	176	193	∈	∈	NOUN
aiti-11169	176	194	:	:	PUNCT
aiti-11169	176	195	ℕ&×	ℕ&×	ADJ
aiti-11169	176	196	<	<	X
aiti-11169	176	197	12	12	NUM
aiti-11169	176	198	return	return	NOUN
aiti-11169	176	199	m	m	VERB
aiti-11169	176	200	to	to	ADP
aiti-11169	176	201	p	p	PRON
aiti-11169	176	202	;	;	PUNCT
aiti-11169	176	203	p	p	PRON
aiti-11169	176	204	is	be	AUX
aiti-11169	176	205	a	a	DET
aiti-11169	176	206	matrix	matrix	NOUN
aiti-11169	176	207	13	13	NUM
aiti-11169	176	208	end	end	NOUN
aiti-11169	176	209	for	for	ADP
aiti-11169	176	210	each	each	DET
aiti-11169	176	211	14	14	NUM
aiti-11169	176	212	decreasing	decrease	VERB
aiti-11169	176	213	sort	sort	NOUN
aiti-11169	176	214	p	p	ADJ
aiti-11169	176	215	to	to	ADP
aiti-11169	176	216	m	m	PRON
aiti-11169	176	217	;	;	PUNCT
aiti-11169	176	218	m	m	VERB
aiti-11169	176	219	is	be	AUX
aiti-11169	176	220	a	a	DET
aiti-11169	176	221	vector	vector	NOUN
aiti-11169	176	222	15	15	NUM
aiti-11169	176	223	for	for	ADP
aiti-11169	176	224	)	)	PUNCT
aiti-11169	176	225	=	=	SYM
aiti-11169	176	226	1	1	NUM
aiti-11169	176	227	→	→	SYM
aiti-11169	176	228	q	q	NOUN
aiti-11169	176	229	do	do	AUX
aiti-11169	176	230	;	;	PUNCT
aiti-11169	176	231	4q	4q	NUM
aiti-11169	176	232	r	r	NOUN
aiti-11169	176	233	qs@tuℎ	qs@tuℎ	PROPN
aiti-11169	176	234	wx	wx	PROPN
aiti-11169	176	235	y6	y6	PROPN
aiti-11169	176	236	q	q	PROPN
aiti-11169	176	237	is	be	AUX
aiti-11169	176	238	a	a	DET
aiti-11169	176	239	limit	limit	NOUN
aiti-11169	176	240	of	of	ADP
aiti-11169	176	241	root	root	NOUN
aiti-11169	176	242	division	division	NOUN
aiti-11169	176	243	in	in	ADP
aiti-11169	176	244	one	one	NUM
aiti-11169	176	245	day	day	NOUN
aiti-11169	176	246	16	16	NUM
aiti-11169	176	247	yz	yz	NOUN
aiti-11169	176	248	)	)	PUNCT
aiti-11169	176	249	[	[	PUNCT
aiti-11169	176	250	mapping	mapping	NOUN
aiti-11169	176	251	back	back	ADV
aiti-11169	176	252	to	to	ADP
aiti-11169	176	253	z	z	PROPN
aiti-11169	176	254	�	�	PROPN
aiti-11169	176	255	hi	hi	PROPN
aiti-11169	176	256	,	,	PUNCT
aiti-11169	176	257	chi	chi	PROPN
aiti-11169	177	1	[	[	X
aiti-11169	177	2	;	;	PUNCT
aiti-11169	177	3	z	z	X
aiti-11169	177	4	�	�	PROPN
aiti-11169	177	5	hi	hi	PROPN
aiti-11169	177	6	,	,	PUNCT
aiti-11169	177	7	chi[is	chi[i	VERB
aiti-11169	177	8	a	a	DET
aiti-11169	177	9	location	location	NOUN
aiti-11169	177	10	of	of	ADP
aiti-11169	177	11	the	the	DET
aiti-11169	177	12	matrix	matrix	NOUN
aiti-11169	177	13	17	17	NUM
aiti-11169	177	14	if	if	SCONJ
aiti-11169	177	15	ℝd&ef,<efg	ℝd&ef,<efg	NOUN
aiti-11169	177	16	\	\	NOUN
aiti-11169	177	17	1	1	NUM
aiti-11169	177	18	do	do	VERB
aiti-11169	177	19	18	18	NUM
aiti-11169	177	20	ℝd&ef,<efg	ℝd&ef,<efg	NOUN
aiti-11169	177	21	←	←	PROPN
aiti-11169	177	22	1	1	NUM
aiti-11169	177	23	;	;	PUNCT
aiti-11169	177	24	19	19	NUM
aiti-11169	177	25	20	20	NUM
aiti-11169	177	26	21	21	NUM
aiti-11169	177	27	na←	na←	PROPN
aiti-11169	177	28	]	]	PUNCT
aiti-11169	177	29	0	0	NUM
aiti-11169	177	30	,	,	PUNCT
aiti-11169	177	31	yz	yz	NOUN
aiti-11169	177	32	)	)	PUNCT
aiti-11169	178	1	[	[	PUNCT
aiti-11169	178	2	=	=	NOUN
aiti-11169	178	3	0	0	X
aiti-11169	178	4	^z	^z	PROPN
aiti-11169	178	5	_	_	PRON
aiti-11169	178	6	[	[	PUNCT
aiti-11169	178	7	�	�	X
aiti-11169	178	8	m|^z'[|	m|^z'[|	NOUN
aiti-11169	178	9	+	+	CCONJ
aiti-11169	178	10	0.49	0.49	NUM
aiti-11169	178	11	,	,	PUNCT
aiti-11169	178	12	yz	yz	NOUN
aiti-11169	178	13	)	)	PUNCT
aiti-11169	178	14	[	[	PUNCT
aiti-11169	178	15	\	\	NOUN
aiti-11169	178	16	0	0	NUM
aiti-11169	178	17	absorption	absorption	NOUN
aiti-11169	178	18	rate	rate	NOUN
aiti-11169	178	19	22	22	NUM
aiti-11169	178	20	end	end	NOUN
aiti-11169	178	21	if	if	SCONJ
aiti-11169	178	22	23	23	NUM
aiti-11169	178	23	do	do	AUX
aiti-11169	178	24	@$	@$	NOUN
aiti-11169	178	25	+	+	CCONJ
aiti-11169	178	26	+	+	ADJ
aiti-11169	178	27	;	;	PUNCT
aiti-11169	178	28	24	24	NUM
aiti-11169	178	29	return	return	NOUN
aiti-11169	178	30	@$	@$	NOUN
aiti-11169	178	31	and	and	CCONJ
aiti-11169	178	32	ℝ&×	ℝ&×	NUM
aiti-11169	178	33	<	<	X
aiti-11169	178	34	@$	@$	NOUN
aiti-11169	178	35	is	be	AUX
aiti-11169	178	36	the	the	DET
aiti-11169	178	37	first	first	ADJ
aiti-11169	178	38	output	output	NOUN
aiti-11169	178	39	25	25	NUM
aiti-11169	178	40	end	end	NOUN
aiti-11169	178	41	for	for	ADP
aiti-11169	178	42	26	26	NUM
aiti-11169	178	43	do	do	AUX
aiti-11169	178	44	ℝ	ℝ	PROPN
aiti-11169	178	45	�	�	PROPN
aiti-11169	178	46	←	←	PROPN
aiti-11169	178	47	ℝ	ℝ	PROPN
aiti-11169	178	48	root	root	NOUN
aiti-11169	178	49	extraction	extraction	NOUN
aiti-11169	178	50	as	as	ADP
aiti-11169	178	51	polygon	polygon	PROPN
aiti-11169	178	52	27	27	NUM
aiti-11169	178	53	do	do	NOUN
aiti-11169	178	54	d	d	X
aiti-11169	178	55	←	←	PROPN
aiti-11169	178	56	$	$	SYM
aiti-11169	178	57	es$	es$	PROPN
aiti-11169	178	58	�	�	PROPN
aiti-11169	178	59	ℝ	ℝ	PROPN
aiti-11169	178	60	�	�	PROPN
aiti-11169	178	61	�	�	PROPN
aiti-11169	178	62	;	;	PUNCT
aiti-11169	178	63	$	$	SYM
aiti-11169	178	64	es$	es$	X
aiti-11169	178	65	of	of	ADP
aiti-11169	178	66	the	the	DET
aiti-11169	178	67	polygon	polygon	NOUN
aiti-11169	178	68	d	d	NOUN
aiti-11169	178	69	is	be	AUX
aiti-11169	178	70	the	the	DET
aiti-11169	178	71	second	second	ADJ
aiti-11169	178	72	output	output	NOUN
aiti-11169	178	73	28	28	NUM
aiti-11169	178	74	return	return	NOUN
aiti-11169	178	75	d	d	NOUN
aiti-11169	178	76	;	;	PUNCT
aiti-11169	178	77	29	29	NUM
aiti-11169	178	78	end	end	NOUN
aiti-11169	178	79	procedure	procedure	NOUN
aiti-11169	178	80	incorporating	incorporate	VERB
aiti-11169	178	81	the	the	DET
aiti-11169	178	82	extracted	extract	VERB
aiti-11169	178	83	prs	prs	NOUN
aiti-11169	178	84	features	feature	NOUN
aiti-11169	178	85	into	into	ADP
aiti-11169	178	86	the	the	DET
aiti-11169	178	87	unprocessed	unprocesse	VERB
aiti-11169	178	88	base	base	NOUN
aiti-11169	178	89	feature	feature	NOUN
aiti-11169	178	90	set	set	VERB
aiti-11169	178	91	produced	produce	VERB
aiti-11169	178	92	a	a	DET
aiti-11169	178	93	set	set	NOUN
aiti-11169	178	94	for	for	ADP
aiti-11169	178	95	classification	classification	NOUN
aiti-11169	178	96	,	,	PUNCT
aiti-11169	178	97	which	which	PRON
aiti-11169	178	98	was	be	AUX
aiti-11169	178	99	composed	compose	VERB
aiti-11169	178	100	of	of	ADP
aiti-11169	178	101	14	14	NUM
aiti-11169	178	102	features	feature	NOUN
aiti-11169	178	103	.	.	PUNCT
aiti-11169	179	1	finally	finally	ADV
aiti-11169	179	2	,	,	PUNCT
aiti-11169	179	3	the	the	DET
aiti-11169	179	4	final	final	ADJ
aiti-11169	179	5	feature	feature	NOUN
aiti-11169	179	6	set	set	NOUN
aiti-11169	179	7	can	can	AUX
aiti-11169	179	8	be	be	AUX
aiti-11169	179	9	obtained	obtain	VERB
aiti-11169	179	10	by	by	ADP
aiti-11169	179	11	performing	perform	VERB
aiti-11169	179	12	min	min	ADJ
aiti-11169	179	13	-	-	ADJ
aiti-11169	179	14	max	max	PROPN
aiti-11169	179	15	normalization	normalization	NOUN
aiti-11169	179	16	.	.	PUNCT
aiti-11169	180	1	the	the	DET
aiti-11169	180	2	flowchart	flowchart	NOUN
aiti-11169	180	3	in	in	ADP
aiti-11169	180	4	fig	fig	NOUN
aiti-11169	180	5	.	.	PUNCT
aiti-11169	181	1	5	5	NUM
aiti-11169	181	2	explains	explain	VERB
aiti-11169	181	3	the	the	DET
aiti-11169	181	4	prs	prs	NOUN
aiti-11169	181	5	feature	feature	NOUN
aiti-11169	181	6	extraction	extraction	NOUN
aiti-11169	181	7	process	process	NOUN
aiti-11169	181	8	.	.	PUNCT
aiti-11169	182	1	the	the	DET
aiti-11169	182	2	entire	entire	ADJ
aiti-11169	182	3	process	process	NOUN
aiti-11169	182	4	is	be	AUX
aiti-11169	182	5	divided	divide	VERB
aiti-11169	182	6	into	into	ADP
aiti-11169	182	7	two	two	NUM
aiti-11169	182	8	parts	part	NOUN
aiti-11169	182	9	.	.	PUNCT
aiti-11169	183	1	the	the	DET
aiti-11169	183	2	first	first	ADJ
aiti-11169	183	3	involves	involve	VERB
aiti-11169	183	4	creating	create	VERB
aiti-11169	183	5	a	a	DET
aiti-11169	183	6	nutrient	nutrient	ADJ
aiti-11169	183	7	matrix	matrix	NOUN
aiti-11169	183	8	with	with	ADP
aiti-11169	183	9	common	common	ADJ
aiti-11169	183	10	features	feature	NOUN
aiti-11169	183	11	.	.	PUNCT
aiti-11169	184	1	the	the	DET
aiti-11169	184	2	core	core	NOUN
aiti-11169	184	3	idea	idea	NOUN
aiti-11169	184	4	is	be	AUX
aiti-11169	184	5	to	to	PART
aiti-11169	184	6	develop	develop	VERB
aiti-11169	184	7	digitized	digitize	VERB
aiti-11169	184	8	soil	soil	NOUN
aiti-11169	184	9	with	with	ADP
aiti-11169	184	10	an	an	DET
aiti-11169	184	11	appropriate	appropriate	ADJ
aiti-11169	184	12	size	size	NOUN
aiti-11169	184	13	and	and	CCONJ
aiti-11169	184	14	nutrient	nutrient	ADJ
aiti-11169	184	15	distribution	distribution	NOUN
aiti-11169	184	16	through	through	ADP
aiti-11169	184	17	a	a	DET
aiti-11169	184	18	mathematical	mathematical	ADJ
aiti-11169	184	19	calculation	calculation	NOUN
aiti-11169	184	20	between	between	ADP
aiti-11169	184	21	features	feature	NOUN
aiti-11169	184	22	.	.	PUNCT
aiti-11169	185	1	the	the	DET
aiti-11169	185	2	second	second	ADJ
aiti-11169	185	3	part	part	NOUN
aiti-11169	185	4	involves	involve	VERB
aiti-11169	185	5	developing	develop	VERB
aiti-11169	185	6	the	the	DET
aiti-11169	185	7	root	root	NOUN
aiti-11169	185	8	matrix	matrix	NOUN
aiti-11169	185	9	using	use	VERB
aiti-11169	185	10	the	the	DET
aiti-11169	185	11	nutrient	nutrient	ADJ
aiti-11169	185	12	matrix	matrix	NOUN
aiti-11169	185	13	and	and	CCONJ
aiti-11169	185	14	seeds	seed	NOUN
aiti-11169	185	15	.	.	PUNCT
aiti-11169	186	1	the	the	DET
aiti-11169	186	2	core	core	NOUN
aiti-11169	186	3	idea	idea	NOUN
aiti-11169	186	4	is	be	AUX
aiti-11169	186	5	to	to	PART
aiti-11169	186	6	limit	limit	VERB
aiti-11169	186	7	the	the	DET
aiti-11169	186	8	root	root	NOUN
aiti-11169	186	9	division	division	NOUN
aiti-11169	186	10	rule	rule	NOUN
aiti-11169	186	11	for	for	ADP
aiti-11169	186	12	radicles	radicle	NOUN
aiti-11169	186	13	using	use	VERB
aiti-11169	186	14	parameters	parameter	NOUN
aiti-11169	186	15	.	.	PUNCT
aiti-11169	187	1	advances	advance	NOUN
aiti-11169	187	2	in	in	ADP
aiti-11169	187	3	technology	technology	NOUN
aiti-11169	187	4	innovation	innovation	NOUN
aiti-11169	187	5	,	,	PUNCT
aiti-11169	187	6	vol	vol	NOUN
aiti-11169	187	7	.	.	PROPN
aiti-11169	187	8	8	8	NUM
aiti-11169	187	9	,	,	PUNCT
aiti-11169	187	10	no	no	INTJ
aiti-11169	187	11	.	.	NOUN
aiti-11169	187	12	3	3	NUM
aiti-11169	187	13	,	,	PUNCT
aiti-11169	187	14	2023	2023	NUM
aiti-11169	187	15	,	,	PUNCT
aiti-11169	187	16	pp	pp	ADJ
aiti-11169	187	17	.	.	PUNCT
aiti-11169	188	1	163	163	NUM
aiti-11169	188	2	-	-	SYM
aiti-11169	188	3	176	176	NUM
aiti-11169	188	4	170	170	NUM
aiti-11169	188	5	fig	fig	NOUN
aiti-11169	188	6	.	.	PUNCT
aiti-11169	188	7	5	5	NUM
aiti-11169	189	1	the	the	DET
aiti-11169	189	2	flow	flow	NOUN
aiti-11169	189	3	chart	chart	NOUN
aiti-11169	189	4	of	of	ADP
aiti-11169	189	5	the	the	DET
aiti-11169	189	6	calculation	calculation	NOUN
aiti-11169	189	7	of	of	ADP
aiti-11169	189	8	frs	frs	PROPN
aiti-11169	189	9	features	feature	VERB
aiti-11169	189	10	3	3	NUM
aiti-11169	189	11	.	.	PUNCT
aiti-11169	189	12	datasets	dataset	NOUN
aiti-11169	189	13	and	and	CCONJ
aiti-11169	189	14	evaluation	evaluation	NOUN
aiti-11169	189	15	methods	method	NOUN
aiti-11169	189	16	the	the	DET
aiti-11169	189	17	accuracies	accuracy	NOUN
aiti-11169	189	18	of	of	ADP
aiti-11169	189	19	various	various	ADJ
aiti-11169	189	20	classifiers	classifier	NOUN
aiti-11169	189	21	were	be	AUX
aiti-11169	189	22	considered	consider	VERB
aiti-11169	189	23	for	for	ADP
aiti-11169	189	24	evaluation	evaluation	NOUN
aiti-11169	189	25	.	.	PUNCT
aiti-11169	190	1	the	the	DET
aiti-11169	190	2	key	key	ADJ
aiti-11169	190	3	measure	measure	NOUN
aiti-11169	190	4	for	for	ADP
aiti-11169	190	5	each	each	DET
aiti-11169	190	6	classifier	classifier	NOUN
aiti-11169	190	7	is	be	AUX
aiti-11169	190	8	the	the	DET
aiti-11169	190	9	change	change	NOUN
aiti-11169	190	10	in	in	ADP
aiti-11169	190	11	accuracy	accuracy	NOUN
aiti-11169	190	12	before	before	ADV
aiti-11169	190	13	and	and	CCONJ
aiti-11169	190	14	after	after	ADP
aiti-11169	190	15	adding	add	VERB
aiti-11169	190	16	root	root	NOUN
aiti-11169	190	17	-	-	PUNCT
aiti-11169	190	18	based	base	VERB
aiti-11169	190	19	features	feature	NOUN
aiti-11169	190	20	to	to	ADP
aiti-11169	190	21	the	the	DET
aiti-11169	190	22	original	original	ADJ
aiti-11169	190	23	feature	feature	NOUN
aiti-11169	190	24	set	set	NOUN
aiti-11169	190	25	.	.	PUNCT
aiti-11169	191	1	accuracy	accuracy	NOUN
aiti-11169	191	2	is	be	AUX
aiti-11169	191	3	often	often	ADV
aiti-11169	191	4	used	use	VERB
aiti-11169	191	5	in	in	ADP
aiti-11169	191	6	epidemiology	epidemiology	NOUN
aiti-11169	191	7	[	[	X
aiti-11169	191	8	22	22	NUM
aiti-11169	191	9	]	]	PUNCT
aiti-11169	191	10	.	.	PUNCT
aiti-11169	192	1	for	for	ADP
aiti-11169	192	2	a	a	DET
aiti-11169	192	3	sample	sample	NOUN
aiti-11169	192	4	,	,	PUNCT
aiti-11169	192	5	a	a	DET
aiti-11169	192	6	correct	correct	ADJ
aiti-11169	192	7	classification	classification	NOUN
aiti-11169	192	8	is	be	AUX
aiti-11169	192	9	true	true	ADJ
aiti-11169	192	10	,	,	PUNCT
aiti-11169	192	11	and	and	CCONJ
aiti-11169	192	12	an	an	DET
aiti-11169	192	13	incorrect	incorrect	ADJ
aiti-11169	192	14	classification	classification	NOUN
aiti-11169	192	15	is	be	AUX
aiti-11169	192	16	false	false	ADJ
aiti-11169	192	17	.	.	PUNCT
aiti-11169	193	1	the	the	DET
aiti-11169	193	2	accuracy	accuracy	NOUN
aiti-11169	193	3	is	be	AUX
aiti-11169	193	4	usually	usually	ADV
aiti-11169	193	5	expressed	express	VERB
aiti-11169	193	6	as	as	ADP
aiti-11169	193	7	a	a	DET
aiti-11169	193	8	percentage	percentage	NOUN
aiti-11169	193	9	,	,	PUNCT
aiti-11169	193	10	calculated	calculate	VERB
aiti-11169	193	11	by	by	ADP
aiti-11169	193	12	dividing	divide	VERB
aiti-11169	193	13	the	the	DET
aiti-11169	193	14	total	total	ADJ
aiti-11169	193	15	number	number	NOUN
aiti-11169	193	16	of	of	ADP
aiti-11169	193	17	correct	correct	ADJ
aiti-11169	193	18	samples	sample	NOUN
aiti-11169	193	19	by	by	ADP
aiti-11169	193	20	the	the	DET
aiti-11169	193	21	sum	sum	NOUN
aiti-11169	193	22	of	of	ADP
aiti-11169	193	23	all	all	DET
aiti-11169	193	24	samples	sample	NOUN
aiti-11169	193	25	.	.	PUNCT
aiti-11169	194	1	a	a	DET
aiti-11169	194	2	result	result	NOUN
aiti-11169	194	3	closer	close	ADV
aiti-11169	194	4	to	to	PART
aiti-11169	194	5	100	100	NUM
aiti-11169	194	6	%	%	NOUN
aiti-11169	194	7	will	will	AUX
aiti-11169	194	8	be	be	AUX
aiti-11169	194	9	more	more	ADV
aiti-11169	194	10	accurate	accurate	ADJ
aiti-11169	194	11	.	.	PUNCT
aiti-11169	195	1	accuracy	accuracy	NOUN
aiti-11169	196	1	+	+	NOUN
aiti-11169	197	1	=	=	PUNCT
aiti-11169	198	1	+	+	PUNCT
aiti-11169	199	1	+	+	CCONJ
aiti-11169	199	2	+	+	CCONJ
aiti-11169	199	3	tp	tp	PART
aiti-11169	199	4	tn	tn	PROPN
aiti-11169	199	5	tp	tp	ADP
aiti-11169	199	6	fp	fp	PROPN
aiti-11169	199	7	tn	tn	PROPN
aiti-11169	199	8	fn	fn	PROPN
aiti-11169	199	9	(	(	PUNCT
aiti-11169	199	10	9	9	NUM
aiti-11169	199	11	)	)	PUNCT
aiti-11169	199	12	where	where	SCONJ
aiti-11169	199	13	true	true	ADJ
aiti-11169	199	14	positive	positive	ADJ
aiti-11169	199	15	(	(	PUNCT
aiti-11169	199	16	tp	tp	NOUN
aiti-11169	199	17	)	)	PUNCT
aiti-11169	199	18	and	and	CCONJ
aiti-11169	199	19	false	false	ADJ
aiti-11169	199	20	positive	positive	ADJ
aiti-11169	199	21	(	(	PUNCT
aiti-11169	199	22	fp	fp	X
aiti-11169	199	23	)	)	PUNCT
aiti-11169	199	24	are	be	AUX
aiti-11169	199	25	the	the	DET
aiti-11169	199	26	number	number	NOUN
aiti-11169	199	27	of	of	ADP
aiti-11169	199	28	true	true	ADJ
aiti-11169	199	29	and	and	CCONJ
aiti-11169	199	30	false	false	ADJ
aiti-11169	199	31	positive	positive	ADJ
aiti-11169	199	32	samples	sample	NOUN
aiti-11169	199	33	.	.	PUNCT
aiti-11169	200	1	true	true	ADJ
aiti-11169	200	2	negative	negative	ADJ
aiti-11169	200	3	(	(	PUNCT
aiti-11169	200	4	tn	tn	NOUN
aiti-11169	200	5	)	)	PUNCT
aiti-11169	200	6	and	and	CCONJ
aiti-11169	200	7	false	false	ADJ
aiti-11169	200	8	negative	negative	ADJ
aiti-11169	200	9	(	(	PUNCT
aiti-11169	200	10	fn	fn	NOUN
aiti-11169	200	11	)	)	PUNCT
aiti-11169	200	12	,	,	PUNCT
aiti-11169	200	13	which	which	PRON
aiti-11169	200	14	are	be	AUX
aiti-11169	200	15	the	the	DET
aiti-11169	200	16	number	number	NOUN
aiti-11169	200	17	of	of	ADP
aiti-11169	200	18	true	true	ADJ
aiti-11169	200	19	and	and	CCONJ
aiti-11169	200	20	false	false	ADJ
aiti-11169	200	21	negative	negative	ADJ
aiti-11169	200	22	samples	sample	NOUN
aiti-11169	200	23	.	.	PUNCT
aiti-11169	201	1	3.1	3.1	NUM
aiti-11169	201	2	.	.	PUNCT
aiti-11169	201	3	datasetsu3	datasetsu3	VERB
aiti-11169	201	4	when	when	SCONJ
aiti-11169	201	5	selecting	select	VERB
aiti-11169	201	6	a	a	DET
aiti-11169	201	7	dataset	dataset	NOUN
aiti-11169	201	8	of	of	ADP
aiti-11169	201	9	biomedical	biomedical	ADJ
aiti-11169	201	10	signals	signal	NOUN
aiti-11169	201	11	,	,	PUNCT
aiti-11169	201	12	a	a	DET
aiti-11169	201	13	nonstationary	nonstationary	ADJ
aiti-11169	201	14	signal	signal	NOUN
aiti-11169	201	15	is	be	AUX
aiti-11169	201	16	preferred	prefer	VERB
aiti-11169	201	17	.	.	PUNCT
aiti-11169	202	1	almost	almost	ADV
aiti-11169	202	2	all	all	PRON
aiti-11169	202	3	biomedical	biomedical	ADJ
aiti-11169	202	4	signals	signal	NOUN
aiti-11169	202	5	are	be	AUX
aiti-11169	202	6	nonstationary	nonstationary	ADJ
aiti-11169	202	7	because	because	SCONJ
aiti-11169	202	8	the	the	DET
aiti-11169	202	9	human	human	ADJ
aiti-11169	202	10	system	system	NOUN
aiti-11169	202	11	is	be	AUX
aiti-11169	202	12	always	always	ADV
aiti-11169	202	13	in	in	ADP
aiti-11169	202	14	a	a	DET
aiti-11169	202	15	state	state	NOUN
aiti-11169	202	16	of	of	ADP
aiti-11169	202	17	dynamic	dynamic	ADJ
aiti-11169	202	18	equilibrium	equilibrium	NOUN
aiti-11169	202	19	under	under	ADP
aiti-11169	202	20	the	the	DET
aiti-11169	202	21	control	control	NOUN
aiti-11169	202	22	of	of	ADP
aiti-11169	202	23	the	the	DET
aiti-11169	202	24	brain	brain	NOUN
aiti-11169	203	1	[	[	X
aiti-11169	203	2	23	23	NUM
aiti-11169	203	3	]	]	PUNCT
aiti-11169	203	4	.	.	PUNCT
aiti-11169	204	1	accordingly	accordingly	ADV
aiti-11169	204	2	,	,	PUNCT
aiti-11169	204	3	three	three	NUM
aiti-11169	204	4	biomedical	biomedical	ADJ
aiti-11169	204	5	signals	signal	NOUN
aiti-11169	204	6	were	be	AUX
aiti-11169	204	7	selected	select	VERB
aiti-11169	204	8	:	:	PUNCT
aiti-11169	204	9	a	a	DET
aiti-11169	204	10	vibroarthrographic	vibroarthrographic	ADJ
aiti-11169	204	11	(	(	PUNCT
aiti-11169	204	12	vag	vag	NOUN
aiti-11169	204	13	)	)	PUNCT
aiti-11169	204	14	signal	signal	NOUN
aiti-11169	204	15	,	,	PUNCT
aiti-11169	204	16	the	the	DET
aiti-11169	204	17	vibration	vibration	NOUN
aiti-11169	204	18	signal	signal	NOUN
aiti-11169	204	19	generated	generate	VERB
aiti-11169	204	20	by	by	ADP
aiti-11169	204	21	the	the	DET
aiti-11169	204	22	friction	friction	NOUN
aiti-11169	204	23	between	between	ADP
aiti-11169	204	24	the	the	DET
aiti-11169	204	25	knee	knee	NOUN
aiti-11169	204	26	cartilage	cartilage	NOUN
aiti-11169	204	27	during	during	ADP
aiti-11169	204	28	flexion	flexion	NOUN
aiti-11169	204	29	-	-	PUNCT
aiti-11169	204	30	extension	extension	NOUN
aiti-11169	204	31	to	to	PART
aiti-11169	204	32	detect	detect	VERB
aiti-11169	204	33	knee	knee	NOUN
aiti-11169	204	34	joint	joint	ADJ
aiti-11169	204	35	disorders	disorder	NOUN
aiti-11169	204	36	,	,	PUNCT
aiti-11169	204	37	captured	capture	VERB
aiti-11169	204	38	by	by	ADP
aiti-11169	204	39	acceleration	acceleration	NOUN
aiti-11169	204	40	sensors	sensor	NOUN
aiti-11169	204	41	near	near	ADP
aiti-11169	204	42	the	the	DET
aiti-11169	204	43	kneecap	kneecap	NOUN
aiti-11169	205	1	[	[	X
aiti-11169	205	2	24	24	NUM
aiti-11169	205	3	]	]	X
aiti-11169	205	4	;	;	PUNCT
aiti-11169	205	5	forearm	forearm	NOUN
aiti-11169	205	6	emg	emg	NOUN
aiti-11169	205	7	,	,	PUNCT
aiti-11169	205	8	the	the	DET
aiti-11169	205	9	electrical	electrical	ADJ
aiti-11169	205	10	signal	signal	NOUN
aiti-11169	205	11	generated	generate	VERB
aiti-11169	205	12	by	by	ADP
aiti-11169	205	13	the	the	DET
aiti-11169	205	14	extensor	extensor	NOUN
aiti-11169	205	15	carpi	carpi	NOUN
aiti-11169	205	16	radialis	radialis	NOUN
aiti-11169	205	17	longus	longus	NOUN
aiti-11169	205	18	during	during	ADP
aiti-11169	205	19	fist	fist	ADJ
aiti-11169	205	20	relaxation	relaxation	NOUN
aiti-11169	205	21	,	,	PUNCT
aiti-11169	205	22	captured	capture	VERB
aiti-11169	205	23	by	by	ADP
aiti-11169	205	24	electrodes	electrode	NOUN
aiti-11169	205	25	near	near	ADP
aiti-11169	205	26	the	the	DET
aiti-11169	205	27	muscles	muscle	NOUN
aiti-11169	205	28	of	of	ADP
aiti-11169	205	29	the	the	DET
aiti-11169	205	30	small	small	ADJ
aiti-11169	205	31	arm	arm	NOUN
aiti-11169	205	32	[	[	X
aiti-11169	205	33	25	25	NUM
aiti-11169	205	34	]	]	X
aiti-11169	205	35	;	;	PUNCT
aiti-11169	205	36	and	and	CCONJ
aiti-11169	205	37	the	the	DET
aiti-11169	205	38	audio	audio	ADJ
aiti-11169	205	39	signal	signal	NOUN
aiti-11169	205	40	recorded	record	VERB
aiti-11169	205	41	by	by	ADP
aiti-11169	205	42	a	a	DET
aiti-11169	205	43	smartphone	smartphone	NOUN
aiti-11169	205	44	web	web	NOUN
aiti-11169	205	45	application	application	NOUN
aiti-11169	205	46	to	to	PART
aiti-11169	205	47	detect	detect	VERB
aiti-11169	205	48	cough	cough	NOUN
aiti-11169	205	49	emanating	emanating	NOUN
aiti-11169	205	50	from	from	ADP
aiti-11169	205	51	the	the	DET
aiti-11169	205	52	lungs	lung	NOUN
aiti-11169	205	53	and	and	CCONJ
aiti-11169	205	54	airways	airway	NOUN
aiti-11169	205	55	of	of	ADP
aiti-11169	205	56	a	a	DET
aiti-11169	205	57	patient	patient	NOUN
aiti-11169	205	58	who	who	PRON
aiti-11169	205	59	may	may	AUX
aiti-11169	205	60	be	be	AUX
aiti-11169	205	61	infected	infect	VERB
aiti-11169	205	62	with	with	ADP
aiti-11169	205	63	covid-19	covid-19	PROPN
aiti-11169	205	64	,	,	PUNCT
aiti-11169	205	65	captured	capture	VERB
aiti-11169	205	66	by	by	ADP
aiti-11169	205	67	a	a	DET
aiti-11169	205	68	microphone	microphone	NOUN
aiti-11169	205	69	placed	place	VERB
aiti-11169	205	70	near	near	ADP
aiti-11169	205	71	the	the	DET
aiti-11169	205	72	head	head	NOUN
aiti-11169	205	73	[	[	X
aiti-11169	205	74	26	26	NUM
aiti-11169	205	75	]	]	PUNCT
aiti-11169	205	76	.	.	PUNCT
aiti-11169	206	1	all	all	DET
aiti-11169	206	2	signals	signal	NOUN
aiti-11169	206	3	are	be	AUX
aiti-11169	206	4	binary	binary	ADJ
aiti-11169	206	5	,	,	PUNCT
aiti-11169	206	6	classified	classify	VERB
aiti-11169	206	7	as	as	ADP
aiti-11169	206	8	young	young	ADJ
aiti-11169	206	9	or	or	CCONJ
aiti-11169	206	10	old	old	ADJ
aiti-11169	206	11	for	for	SCONJ
aiti-11169	206	12	the	the	DET
aiti-11169	206	13	vag	vag	NOUN
aiti-11169	206	14	signals	signal	NOUN
aiti-11169	206	15	,	,	PUNCT
aiti-11169	206	16	rest	rest	NOUN
aiti-11169	206	17	or	or	CCONJ
aiti-11169	206	18	fist	fist	NOUN
aiti-11169	206	19	for	for	ADP
aiti-11169	206	20	the	the	DET
aiti-11169	206	21	emg	emg	NOUN
aiti-11169	206	22	signals	signal	NOUN
aiti-11169	206	23	,	,	PUNCT
aiti-11169	206	24	and	and	CCONJ
aiti-11169	206	25	positive	positive	ADJ
aiti-11169	206	26	or	or	CCONJ
aiti-11169	206	27	negative	negative	ADJ
aiti-11169	206	28	for	for	ADP
aiti-11169	206	29	the	the	DET
aiti-11169	206	30	cough	cough	NOUN
aiti-11169	206	31	sound	sound	NOUN
aiti-11169	206	32	signals	signal	NOUN
aiti-11169	206	33	.	.	PUNCT
aiti-11169	207	1	table	table	NOUN
aiti-11169	207	2	3	3	NUM
aiti-11169	207	3	presents	present	VERB
aiti-11169	207	4	the	the	DET
aiti-11169	207	5	detailed	detailed	ADJ
aiti-11169	207	6	characteristics	characteristic	NOUN
aiti-11169	207	7	of	of	ADP
aiti-11169	207	8	these	these	DET
aiti-11169	207	9	signals	signal	NOUN
aiti-11169	207	10	.	.	PUNCT
aiti-11169	208	1	table	table	NOUN
aiti-11169	208	2	3	3	NUM
aiti-11169	208	3	properties	property	NOUN
aiti-11169	208	4	of	of	ADP
aiti-11169	208	5	biomedical	biomedical	ADJ
aiti-11169	208	6	signals	signal	NOUN
aiti-11169	208	7	dataset	dataset	VERB
aiti-11169	208	8	signal	signal	NOUN
aiti-11169	208	9	type	type	NOUN
aiti-11169	208	10	class	class	NOUN
aiti-11169	208	11	sample	sample	NOUN
aiti-11169	208	12	size	size	NOUN
aiti-11169	208	13	sampling	sample	VERB
aiti-11169	208	14	rate	rate	NOUN
aiti-11169	208	15	length	length	NOUN
aiti-11169	208	16	noise	noise	NOUN
aiti-11169	208	17	reduction	reduction	NOUN
aiti-11169	208	18	vag	vag	NOUN
aiti-11169	208	19	of	of	ADP
aiti-11169	208	20	the	the	DET
aiti-11169	208	21	knee	knee	NOUN
aiti-11169	208	22	joint	joint	ADJ
aiti-11169	208	23	vibration	vibration	NOUN
aiti-11169	208	24	2	2	NUM
aiti-11169	208	25	144	144	NUM
aiti-11169	208	26	2000	2000	NUM
aiti-11169	208	27	hz	hz	VERB
aiti-11169	208	28	3	3	NUM
aiti-11169	208	29	-	-	SYM
aiti-11169	208	30	5	5	NUM
aiti-11169	208	31	k	k	NOUN
aiti-11169	208	32	yes	yes	INTJ
aiti-11169	208	33	emg	emg	NOUN
aiti-11169	208	34	of	of	ADP
aiti-11169	208	35	hand	hand	NOUN
aiti-11169	208	36	electrical	electrical	ADJ
aiti-11169	208	37	2	2	NUM
aiti-11169	208	38	72	72	NUM
aiti-11169	208	39	1000	1000	NUM
aiti-11169	208	40	hz	hz	VERB
aiti-11169	208	41	3	3	NUM
aiti-11169	208	42	-	-	SYM
aiti-11169	208	43	5	5	NUM
aiti-11169	208	44	k	k	NOUN
aiti-11169	208	45	no	no	DET
aiti-11169	208	46	coughing	cough	VERB
aiti-11169	208	47	sound	sound	NOUN
aiti-11169	208	48	sound	sound	NOUN
aiti-11169	208	49	2	2	NUM
aiti-11169	208	50	121	121	NUM
aiti-11169	208	51	22.5	22.5	NUM
aiti-11169	208	52	khz	khz	NOUN
aiti-11169	208	53	60	60	NUM
aiti-11169	208	54	-	-	SYM
aiti-11169	208	55	80	80	NUM
aiti-11169	208	56	k	k	NOUN
aiti-11169	209	1	no	no	DET
aiti-11169	209	2	advances	advance	NOUN
aiti-11169	209	3	in	in	ADP
aiti-11169	209	4	technology	technology	NOUN
aiti-11169	209	5	innovation	innovation	NOUN
aiti-11169	209	6	,	,	PUNCT
aiti-11169	209	7	vol	vol	NOUN
aiti-11169	209	8	.	.	PROPN
aiti-11169	209	9	8	8	NUM
aiti-11169	209	10	,	,	PUNCT
aiti-11169	209	11	no	no	INTJ
aiti-11169	209	12	.	.	NOUN
aiti-11169	209	13	3	3	NUM
aiti-11169	209	14	,	,	PUNCT
aiti-11169	209	15	2023	2023	NUM
aiti-11169	209	16	,	,	PUNCT
aiti-11169	209	17	pp	pp	ADJ
aiti-11169	209	18	.	.	PUNCT
aiti-11169	210	1	163	163	NUM
aiti-11169	210	2	-	-	SYM
aiti-11169	210	3	176	176	NUM
aiti-11169	210	4	171	171	NUM
aiti-11169	210	5	3.2	3.2	NUM
aiti-11169	210	6	.	.	PUNCT
aiti-11169	211	1	evaluating	evaluate	VERB
aiti-11169	211	2	prs	prs	NOUN
aiti-11169	211	3	features	feature	VERB
aiti-11169	211	4	classifiers	classifier	NOUN
aiti-11169	211	5	for	for	ADP
aiti-11169	211	6	feature	feature	NOUN
aiti-11169	211	7	testing	testing	NOUN
aiti-11169	211	8	should	should	AUX
aiti-11169	211	9	be	be	AUX
aiti-11169	211	10	selected	select	VERB
aiti-11169	211	11	following	follow	VERB
aiti-11169	211	12	the	the	DET
aiti-11169	211	13	principle	principle	NOUN
aiti-11169	211	14	of	of	ADP
aiti-11169	211	15	interpretability	interpretability	NOUN
aiti-11169	211	16	,	,	PUNCT
aiti-11169	211	17	avoiding	avoid	VERB
aiti-11169	211	18	black	black	ADJ
aiti-11169	211	19	boxes	box	NOUN
aiti-11169	211	20	as	as	ADV
aiti-11169	211	21	much	much	ADV
aiti-11169	211	22	as	as	ADP
aiti-11169	211	23	possible	possible	ADJ
aiti-11169	211	24	[	[	X
aiti-11169	211	25	27	27	NUM
aiti-11169	211	26	]	]	PUNCT
aiti-11169	211	27	.	.	PUNCT
aiti-11169	212	1	the	the	DET
aiti-11169	212	2	logistic	logistic	ADJ
aiti-11169	212	3	regression	regression	NOUN
aiti-11169	212	4	(	(	PUNCT
aiti-11169	212	5	lr	lr	NOUN
aiti-11169	212	6	)	)	PUNCT
aiti-11169	212	7	model	model	NOUN
aiti-11169	212	8	,	,	PUNCT
aiti-11169	212	9	which	which	PRON
aiti-11169	212	10	is	be	AUX
aiti-11169	212	11	widely	widely	ADV
aiti-11169	212	12	used	use	VERB
aiti-11169	212	13	in	in	ADP
aiti-11169	212	14	classification	classification	NOUN
aiti-11169	212	15	problems	problem	NOUN
aiti-11169	212	16	and	and	CCONJ
aiti-11169	212	17	has	have	VERB
aiti-11169	212	18	the	the	DET
aiti-11169	212	19	advantage	advantage	NOUN
aiti-11169	212	20	of	of	ADP
aiti-11169	212	21	outputting	outputting	NOUN
aiti-11169	212	22	probabilities	probability	NOUN
aiti-11169	212	23	,	,	PUNCT
aiti-11169	212	24	was	be	AUX
aiti-11169	212	25	chosen	choose	VERB
aiti-11169	212	26	as	as	ADP
aiti-11169	212	27	the	the	DET
aiti-11169	212	28	main	main	ADJ
aiti-11169	212	29	linear	linear	NOUN
aiti-11169	212	30	classifier	classifier	NOUN
aiti-11169	212	31	in	in	ADP
aiti-11169	212	32	this	this	DET
aiti-11169	212	33	study	study	NOUN
aiti-11169	212	34	.	.	PUNCT
aiti-11169	213	1	however	however	ADV
aiti-11169	213	2	,	,	PUNCT
aiti-11169	213	3	the	the	DET
aiti-11169	213	4	lr	lr	NOUN
aiti-11169	213	5	classifier	classifier	NOUN
aiti-11169	213	6	is	be	AUX
aiti-11169	213	7	also	also	ADV
aiti-11169	213	8	limited	limit	VERB
aiti-11169	213	9	by	by	ADP
aiti-11169	213	10	these	these	DET
aiti-11169	213	11	probabilities	probability	NOUN
aiti-11169	213	12	.	.	PUNCT
aiti-11169	214	1	in	in	ADP
aiti-11169	214	2	some	some	DET
aiti-11169	214	3	cases	case	NOUN
aiti-11169	214	4	,	,	PUNCT
aiti-11169	214	5	a	a	DET
aiti-11169	214	6	result	result	NOUN
aiti-11169	214	7	of	of	ADP
aiti-11169	214	8	51	51	NUM
aiti-11169	214	9	%	%	NOUN
aiti-11169	214	10	or	or	CCONJ
aiti-11169	214	11	even	even	ADV
aiti-11169	214	12	99	99	NUM
aiti-11169	214	13	%	%	NOUN
aiti-11169	214	14	pointing	pointing	NOUN
aiti-11169	214	15	to	to	ADP
aiti-11169	214	16	a	a	DET
aiti-11169	214	17	given	give	VERB
aiti-11169	214	18	class	class	NOUN
aiti-11169	214	19	can	can	AUX
aiti-11169	214	20	produce	produce	VERB
aiti-11169	214	21	mismatching	mismatch	VERB
aiti-11169	214	22	,	,	PUNCT
aiti-11169	214	23	which	which	PRON
aiti-11169	214	24	means	mean	VERB
aiti-11169	214	25	that	that	SCONJ
aiti-11169	214	26	the	the	DET
aiti-11169	214	27	predicted	predict	VERB
aiti-11169	214	28	class	class	NOUN
aiti-11169	214	29	may	may	AUX
aiti-11169	214	30	not	not	PART
aiti-11169	214	31	be	be	AUX
aiti-11169	214	32	accurate	accurate	ADJ
aiti-11169	214	33	even	even	ADV
aiti-11169	214	34	though	though	SCONJ
aiti-11169	214	35	the	the	DET
aiti-11169	214	36	probability	probability	NOUN
aiti-11169	214	37	of	of	ADP
aiti-11169	214	38	the	the	DET
aiti-11169	214	39	prediction	prediction	NOUN
aiti-11169	214	40	is	be	AUX
aiti-11169	214	41	high	high	ADJ
aiti-11169	214	42	.	.	PUNCT
aiti-11169	215	1	[	[	X
aiti-11169	215	2	27	27	NUM
aiti-11169	215	3	]	]	PUNCT
aiti-11169	215	4	.	.	PUNCT
aiti-11169	216	1	in	in	ADP
aiti-11169	216	2	contrast	contrast	NOUN
aiti-11169	216	3	to	to	ADP
aiti-11169	216	4	lr	lr	PROPN
aiti-11169	216	5	,	,	PUNCT
aiti-11169	216	6	a	a	DET
aiti-11169	216	7	support	support	NOUN
aiti-11169	216	8	vector	vector	NOUN
aiti-11169	216	9	machine	machine	NOUN
aiti-11169	216	10	(	(	PUNCT
aiti-11169	216	11	svm	svm	PROPN
aiti-11169	216	12	)	)	PUNCT
aiti-11169	216	13	,	,	PUNCT
aiti-11169	216	14	which	which	PRON
aiti-11169	216	15	focuses	focus	VERB
aiti-11169	216	16	on	on	ADP
aiti-11169	216	17	maximizing	maximize	VERB
aiti-11169	216	18	the	the	DET
aiti-11169	216	19	probability	probability	NOUN
aiti-11169	216	20	of	of	ADP
aiti-11169	216	21	group	group	NOUN
aiti-11169	216	22	membership	membership	NOUN
aiti-11169	216	23	,	,	PUNCT
aiti-11169	216	24	attempts	attempt	VERB
aiti-11169	216	25	to	to	PART
aiti-11169	216	26	find	find	VERB
aiti-11169	216	27	the	the	DET
aiti-11169	216	28	separating	separate	VERB
aiti-11169	216	29	hyperplane	hyperplane	NOUN
aiti-11169	216	30	that	that	PRON
aiti-11169	216	31	maximizes	maximize	VERB
aiti-11169	216	32	the	the	DET
aiti-11169	216	33	distance	distance	NOUN
aiti-11169	216	34	of	of	ADP
aiti-11169	216	35	the	the	DET
aiti-11169	216	36	closest	close	ADJ
aiti-11169	216	37	points	point	NOUN
aiti-11169	216	38	to	to	ADP
aiti-11169	216	39	the	the	DET
aiti-11169	216	40	border	border	NOUN
aiti-11169	216	41	.	.	PUNCT
aiti-11169	217	1	as	as	SCONJ
aiti-11169	217	2	the	the	DET
aiti-11169	217	3	feature	feature	NOUN
aiti-11169	217	4	sets	set	NOUN
aiti-11169	217	5	have	have	VERB
aiti-11169	217	6	more	more	ADJ
aiti-11169	217	7	than	than	ADP
aiti-11169	217	8	12	12	NUM
aiti-11169	217	9	dimensions	dimension	NOUN
aiti-11169	217	10	,	,	PUNCT
aiti-11169	217	11	a	a	DET
aiti-11169	217	12	polynomial	polynomial	ADJ
aiti-11169	217	13	kernel	kernel	NOUN
aiti-11169	217	14	-	-	PUNCT
aiti-11169	217	15	based	base	VERB
aiti-11169	217	16	nonlinear	nonlinear	ADJ
aiti-11169	217	17	svm	svm	NOUN
aiti-11169	217	18	was	be	AUX
aiti-11169	217	19	used	use	VERB
aiti-11169	217	20	as	as	ADP
aiti-11169	217	21	the	the	DET
aiti-11169	217	22	main	main	ADJ
aiti-11169	217	23	nonlinear	nonlinear	ADJ
aiti-11169	217	24	classifier	classifier	NOUN
aiti-11169	217	25	.	.	PUNCT
aiti-11169	218	1	a	a	DET
aiti-11169	218	2	linear	linear	ADJ
aiti-11169	218	3	discriminant	discriminant	ADJ
aiti-11169	218	4	analysis	analysis	NOUN
aiti-11169	218	5	(	(	PUNCT
aiti-11169	218	6	lda	lda	PROPN
aiti-11169	218	7	)	)	PUNCT
aiti-11169	218	8	and	and	CCONJ
aiti-11169	218	9	quadratic	quadratic	ADJ
aiti-11169	218	10	discriminant	discriminant	ADJ
aiti-11169	218	11	analysis	analysis	NOUN
aiti-11169	218	12	(	(	PUNCT
aiti-11169	218	13	qda	qda	NOUN
aiti-11169	218	14	)	)	PUNCT
aiti-11169	218	15	were	be	AUX
aiti-11169	218	16	used	use	VERB
aiti-11169	218	17	as	as	ADP
aiti-11169	218	18	complementary	complementary	ADJ
aiti-11169	218	19	classifiers	classifier	NOUN
aiti-11169	218	20	to	to	ADP
aiti-11169	218	21	the	the	DET
aiti-11169	218	22	lr	lr	NOUN
aiti-11169	218	23	and	and	CCONJ
aiti-11169	218	24	svm	svm	ADJ
aiti-11169	218	25	classifiers	classifier	NOUN
aiti-11169	218	26	.	.	PUNCT
aiti-11169	219	1	these	these	DET
aiti-11169	219	2	machine	machine	NOUN
aiti-11169	219	3	learning	learning	NOUN
aiti-11169	219	4	-	-	PUNCT
aiti-11169	219	5	based	base	VERB
aiti-11169	219	6	classifiers	classifier	NOUN
aiti-11169	219	7	were	be	AUX
aiti-11169	219	8	used	use	VERB
aiti-11169	219	9	to	to	PART
aiti-11169	219	10	test	test	VERB
aiti-11169	219	11	the	the	DET
aiti-11169	219	12	feature	feature	NOUN
aiti-11169	219	13	set	set	VERB
aiti-11169	219	14	[	[	X
aiti-11169	219	15	28	28	NUM
aiti-11169	219	16	]	]	PUNCT
aiti-11169	219	17	.	.	PUNCT
aiti-11169	220	1	feature	feature	NOUN
aiti-11169	220	2	extraction	extraction	NOUN
aiti-11169	220	3	methods	method	NOUN
aiti-11169	220	4	for	for	ADP
aiti-11169	220	5	biomedical	biomedical	ADJ
aiti-11169	220	6	signals	signal	NOUN
aiti-11169	220	7	typically	typically	ADV
aiti-11169	220	8	use	use	VERB
aiti-11169	220	9	both	both	DET
aiti-11169	220	10	timeand	timeand	NOUN
aiti-11169	220	11	frequency	frequency	NOUN
aiti-11169	220	12	-	-	PUNCT
aiti-11169	220	13	domain	domain	NOUN
aiti-11169	220	14	features	feature	NOUN
aiti-11169	220	15	.	.	PUNCT
aiti-11169	221	1	because	because	SCONJ
aiti-11169	221	2	all	all	DET
aiti-11169	221	3	base	base	NOUN
aiti-11169	221	4	features	feature	VERB
aiti-11169	221	5	in	in	ADP
aiti-11169	221	6	this	this	DET
aiti-11169	221	7	study	study	NOUN
aiti-11169	221	8	were	be	AUX
aiti-11169	221	9	time	time	NOUN
aiti-11169	221	10	-	-	PUNCT
aiti-11169	221	11	domain	domain	NOUN
aiti-11169	221	12	features	feature	NOUN
aiti-11169	221	13	,	,	PUNCT
aiti-11169	221	14	two	two	NUM
aiti-11169	221	15	frequency	frequency	NOUN
aiti-11169	221	16	-	-	PUNCT
aiti-11169	221	17	domain	domain	NOUN
aiti-11169	221	18	features	feature	NOUN
aiti-11169	221	19	were	be	AUX
aiti-11169	221	20	used	use	VERB
aiti-11169	221	21	to	to	PART
aiti-11169	221	22	complete	complete	VERB
aiti-11169	221	23	the	the	DET
aiti-11169	221	24	comparison	comparison	NOUN
aiti-11169	221	25	feature	feature	NOUN
aiti-11169	221	26	set	set	VERB
aiti-11169	221	27	[	[	X
aiti-11169	221	28	6	6	NUM
aiti-11169	221	29	]	]	PUNCT
aiti-11169	221	30	.	.	PUNCT
aiti-11169	222	1	specifically	specifically	ADV
aiti-11169	222	2	,	,	PUNCT
aiti-11169	222	3	this	this	DET
aiti-11169	222	4	study	study	NOUN
aiti-11169	222	5	uses	use	VERB
aiti-11169	222	6	the	the	DET
aiti-11169	222	7	maximum	maximum	ADJ
aiti-11169	222	8	power	power	NOUN
aiti-11169	222	9	spectrum	spectrum	NOUN
aiti-11169	222	10	density	density	NOUN
aiti-11169	222	11	(	(	PUNCT
aiti-11169	222	12	maxpsd	maxpsd	PROPN
aiti-11169	222	13	)	)	PUNCT
aiti-11169	222	14	and	and	CCONJ
aiti-11169	222	15	median	median	ADJ
aiti-11169	222	16	power	power	NOUN
aiti-11169	222	17	spectrum	spectrum	NOUN
aiti-11169	222	18	density	density	NOUN
aiti-11169	222	19	(	(	PUNCT
aiti-11169	222	20	medpsd	medpsd	NOUN
aiti-11169	222	21	)	)	PUNCT
aiti-11169	222	22	as	as	SCONJ
aiti-11169	222	23	auxiliary	auxiliary	ADJ
aiti-11169	222	24	features	feature	VERB
aiti-11169	222	25	to	to	ADP
aiti-11169	222	26	the	the	DET
aiti-11169	222	27	base	base	NOUN
aiti-11169	222	28	features	feature	VERB
aiti-11169	222	29	in	in	ADP
aiti-11169	222	30	the	the	DET
aiti-11169	222	31	comparison	comparison	NOUN
aiti-11169	222	32	set	set	VERB
aiti-11169	222	33	.	.	PUNCT
aiti-11169	223	1	the	the	DET
aiti-11169	223	2	two	two	NUM
aiti-11169	223	3	frequency	frequency	NOUN
aiti-11169	223	4	-	-	PUNCT
aiti-11169	223	5	feature	feature	NOUN
aiti-11169	223	6	extraction	extraction	NOUN
aiti-11169	223	7	techniques	technique	NOUN
aiti-11169	223	8	were	be	AUX
aiti-11169	223	9	based	base	VERB
aiti-11169	223	10	on	on	ADP
aiti-11169	223	11	fourier	fourier	NOUN
aiti-11169	223	12	transforms	transform	VERB
aiti-11169	223	13	[	[	X
aiti-11169	223	14	6	6	NUM
aiti-11169	223	15	]	]	PUNCT
aiti-11169	223	16	.	.	PUNCT
aiti-11169	224	1	the	the	DET
aiti-11169	224	2	maxpsd	maxpsd	NOUN
aiti-11169	224	3	and	and	CCONJ
aiti-11169	224	4	medpsd	medpsd	ADJ
aiti-11169	224	5	measures	measure	NOUN
aiti-11169	224	6	were	be	AUX
aiti-11169	224	7	added	add	VERB
aiti-11169	224	8	to	to	ADP
aiti-11169	224	9	the	the	DET
aiti-11169	224	10	unprocessed	unprocesse	VERB
aiti-11169	224	11	base	base	NOUN
aiti-11169	224	12	feature	feature	NOUN
aiti-11169	224	13	set	set	VERB
aiti-11169	224	14	to	to	PART
aiti-11169	224	15	create	create	VERB
aiti-11169	224	16	a	a	DET
aiti-11169	224	17	comparison	comparison	NOUN
aiti-11169	224	18	set	set	VERB
aiti-11169	224	19	that	that	PRON
aiti-11169	224	20	included	include	VERB
aiti-11169	224	21	the	the	DET
aiti-11169	224	22	same	same	ADJ
aiti-11169	224	23	14	14	NUM
aiti-11169	224	24	features	feature	NOUN
aiti-11169	224	25	as	as	ADP
aiti-11169	224	26	the	the	DET
aiti-11169	224	27	experimental	experimental	ADJ
aiti-11169	224	28	set	set	NOUN
aiti-11169	224	29	.	.	PUNCT
aiti-11169	225	1	the	the	DET
aiti-11169	225	2	comparison	comparison	NOUN
aiti-11169	225	3	set	set	VERB
aiti-11169	225	4	was	be	AUX
aiti-11169	225	5	then	then	ADV
aiti-11169	225	6	normalized	normalize	VERB
aiti-11169	225	7	using	use	VERB
aiti-11169	225	8	minmax	minmax	PROPN
aiti-11169	225	9	normalization	normalization	NOUN
aiti-11169	225	10	to	to	PART
aiti-11169	225	11	ensure	ensure	VERB
aiti-11169	225	12	that	that	SCONJ
aiti-11169	225	13	the	the	DET
aiti-11169	225	14	features	feature	NOUN
aiti-11169	225	15	were	be	AUX
aiti-11169	225	16	on	on	ADP
aiti-11169	225	17	the	the	DET
aiti-11169	225	18	same	same	ADJ
aiti-11169	225	19	scale	scale	NOUN
aiti-11169	225	20	.	.	PUNCT
aiti-11169	226	1	finally	finally	ADV
aiti-11169	226	2	,	,	PUNCT
aiti-11169	226	3	the	the	DET
aiti-11169	226	4	accuracy	accuracy	NOUN
aiti-11169	226	5	of	of	ADP
aiti-11169	226	6	the	the	DET
aiti-11169	226	7	prs	prs	NOUN
aiti-11169	226	8	algorithm	algorithm	NOUN
aiti-11169	226	9	was	be	AUX
aiti-11169	226	10	compared	compare	VERB
aiti-11169	226	11	to	to	ADP
aiti-11169	226	12	the	the	DET
aiti-11169	226	13	accuracy	accuracy	NOUN
aiti-11169	226	14	of	of	ADP
aiti-11169	226	15	the	the	DET
aiti-11169	226	16	comparison	comparison	NOUN
aiti-11169	226	17	set	set	VERB
aiti-11169	226	18	.	.	PUNCT
aiti-11169	227	1	implementations	implementation	NOUN
aiti-11169	227	2	of	of	ADP
aiti-11169	227	3	signal	signal	NOUN
aiti-11169	227	4	processing	processing	NOUN
aiti-11169	227	5	,	,	PUNCT
aiti-11169	227	6	feature	feature	NOUN
aiti-11169	227	7	engineering	engineering	NOUN
aiti-11169	227	8	,	,	PUNCT
aiti-11169	227	9	the	the	DET
aiti-11169	227	10	prs	prs	NOUN
aiti-11169	227	11	algorithm	algorithm	NOUN
aiti-11169	227	12	,	,	PUNCT
aiti-11169	227	13	and	and	CCONJ
aiti-11169	227	14	classifiers	classifier	NOUN
aiti-11169	227	15	were	be	AUX
aiti-11169	227	16	supported	support	VERB
aiti-11169	227	17	by	by	ADP
aiti-11169	227	18	rstudio	rstudio	NOUN
aiti-11169	227	19	and	and	CCONJ
aiti-11169	227	20	related	related	ADJ
aiti-11169	227	21	packages	package	NOUN
aiti-11169	227	22	,	,	PUNCT
aiti-11169	227	23	and	and	CCONJ
aiti-11169	227	24	the	the	DET
aiti-11169	227	25	result	result	NOUN
aiti-11169	227	26	has	have	AUX
aiti-11169	227	27	been	be	AUX
aiti-11169	227	28	provided	provide	VERB
aiti-11169	227	29	in	in	ADP
aiti-11169	227	30	subsequent	subsequent	ADJ
aiti-11169	227	31	sections	section	NOUN
aiti-11169	227	32	.	.	PUNCT
aiti-11169	228	1	4	4	X
aiti-11169	228	2	.	.	NOUN
aiti-11169	228	3	results	result	VERB
aiti-11169	228	4	the	the	DET
aiti-11169	228	5	study	study	NOUN
aiti-11169	228	6	used	use	VERB
aiti-11169	228	7	four	four	NUM
aiti-11169	228	8	datasets	dataset	NOUN
aiti-11169	228	9	to	to	PART
aiti-11169	228	10	evaluate	evaluate	VERB
aiti-11169	228	11	the	the	DET
aiti-11169	228	12	performance	performance	NOUN
aiti-11169	228	13	of	of	ADP
aiti-11169	228	14	each	each	DET
aiti-11169	228	15	classification	classification	NOUN
aiti-11169	228	16	model	model	NOUN
aiti-11169	228	17	.	.	PUNCT
aiti-11169	229	1	the	the	DET
aiti-11169	229	2	first	first	ADJ
aiti-11169	229	3	dataset	dataset	NOUN
aiti-11169	229	4	,	,	PUNCT
aiti-11169	229	5	referred	refer	VERB
aiti-11169	229	6	to	to	ADP
aiti-11169	229	7	as	as	ADP
aiti-11169	229	8	the	the	DET
aiti-11169	229	9	base	base	NOUN
aiti-11169	229	10	set	set	NOUN
aiti-11169	229	11	,	,	PUNCT
aiti-11169	229	12	contained	contain	VERB
aiti-11169	229	13	only	only	ADV
aiti-11169	229	14	12	12	NUM
aiti-11169	229	15	time	time	NOUN
aiti-11169	229	16	-	-	PUNCT
aiti-11169	229	17	domain	domain	NOUN
aiti-11169	229	18	features	feature	NOUN
aiti-11169	229	19	as	as	SCONJ
aiti-11169	229	20	listed	list	VERB
aiti-11169	229	21	in	in	ADP
aiti-11169	229	22	table	table	NOUN
aiti-11169	229	23	1	1	NUM
aiti-11169	229	24	.	.	PUNCT
aiti-11169	230	1	the	the	DET
aiti-11169	230	2	second	second	ADJ
aiti-11169	230	3	and	and	CCONJ
aiti-11169	230	4	third	third	ADJ
aiti-11169	230	5	datasets	dataset	NOUN
aiti-11169	230	6	,	,	PUNCT
aiti-11169	230	7	named	name	VERB
aiti-11169	230	8	base	base	NOUN
aiti-11169	230	9	+	+	CCONJ
aiti-11169	230	10	nf	nf	NOUN
aiti-11169	230	11	and	and	CCONJ
aiti-11169	230	12	base	base	NOUN
aiti-11169	230	13	+	+	CCONJ
aiti-11169	230	14	rf	rf	VERB
aiti-11169	230	15	respectively	respectively	ADV
aiti-11169	230	16	,	,	PUNCT
aiti-11169	230	17	contained	contain	VERB
aiti-11169	230	18	one	one	NUM
aiti-11169	230	19	prs	prs	NOUN
aiti-11169	230	20	feature	feature	NOUN
aiti-11169	230	21	and	and	CCONJ
aiti-11169	230	22	12	12	NUM
aiti-11169	230	23	time	time	NOUN
aiti-11169	230	24	-	-	PUNCT
aiti-11169	230	25	domain	domain	NOUN
aiti-11169	230	26	features	feature	NOUN
aiti-11169	230	27	each	each	PRON
aiti-11169	230	28	,	,	PUNCT
aiti-11169	230	29	in	in	ADP
aiti-11169	230	30	addition	addition	NOUN
aiti-11169	230	31	to	to	ADP
aiti-11169	230	32	those	those	PRON
aiti-11169	230	33	in	in	ADP
aiti-11169	230	34	the	the	DET
aiti-11169	230	35	base	base	NOUN
aiti-11169	230	36	set	set	NOUN
aiti-11169	230	37	.	.	PUNCT
aiti-11169	231	1	finally	finally	ADV
aiti-11169	231	2	,	,	PUNCT
aiti-11169	231	3	a	a	DET
aiti-11169	231	4	fourth	fourth	ADJ
aiti-11169	231	5	dataset	dataset	NOUN
aiti-11169	231	6	was	be	AUX
aiti-11169	231	7	used	use	VERB
aiti-11169	231	8	that	that	PRON
aiti-11169	231	9	included	include	VERB
aiti-11169	231	10	all	all	DET
aiti-11169	231	11	14	14	NUM
aiti-11169	231	12	features	feature	NOUN
aiti-11169	231	13	(	(	PUNCT
aiti-11169	231	14	the	the	DET
aiti-11169	231	15	12	12	NUM
aiti-11169	231	16	time	time	NOUN
aiti-11169	231	17	-	-	PUNCT
aiti-11169	231	18	domain	domain	NOUN
aiti-11169	231	19	features	feature	NOUN
aiti-11169	231	20	and	and	CCONJ
aiti-11169	231	21	the	the	DET
aiti-11169	231	22	2	2	NUM
aiti-11169	231	23	prs	prs	NOUN
aiti-11169	231	24	features	feature	NOUN
aiti-11169	231	25	)	)	PUNCT
aiti-11169	231	26	.	.	PUNCT
aiti-11169	232	1	this	this	DET
aiti-11169	232	2	dataset	dataset	NOUN
aiti-11169	232	3	,	,	PUNCT
aiti-11169	232	4	referred	refer	VERB
aiti-11169	232	5	to	to	ADP
aiti-11169	232	6	as	as	SCONJ
aiti-11169	232	7	prs	prs	VERB
aiti-11169	232	8	with	with	ADP
aiti-11169	232	9	all	all	DET
aiti-11169	232	10	features	feature	NOUN
aiti-11169	232	11	,	,	PUNCT
aiti-11169	232	12	was	be	AUX
aiti-11169	232	13	used	use	VERB
aiti-11169	232	14	to	to	PART
aiti-11169	232	15	evaluate	evaluate	VERB
aiti-11169	232	16	the	the	DET
aiti-11169	232	17	performance	performance	NOUN
aiti-11169	232	18	of	of	ADP
aiti-11169	232	19	each	each	DET
aiti-11169	232	20	classification	classification	NOUN
aiti-11169	232	21	model	model	NOUN
aiti-11169	232	22	when	when	SCONJ
aiti-11169	232	23	all	all	DET
aiti-11169	232	24	features	feature	NOUN
aiti-11169	232	25	were	be	AUX
aiti-11169	232	26	included	include	VERB
aiti-11169	232	27	.	.	PUNCT
aiti-11169	233	1	all	all	DET
aiti-11169	233	2	datasets	dataset	NOUN
aiti-11169	233	3	including	include	VERB
aiti-11169	233	4	the	the	DET
aiti-11169	233	5	vag	vag	NOUN
aiti-11169	233	6	,	,	PUNCT
aiti-11169	233	7	emg	emg	NOUN
aiti-11169	233	8	,	,	PUNCT
aiti-11169	233	9	and	and	CCONJ
aiti-11169	233	10	cough	cough	NOUN
aiti-11169	233	11	signals	signal	NOUN
aiti-11169	233	12	were	be	AUX
aiti-11169	233	13	input	input	NOUN
aiti-11169	233	14	individually	individually	ADV
aiti-11169	233	15	into	into	ADP
aiti-11169	233	16	the	the	DET
aiti-11169	233	17	lr	lr	PROPN
aiti-11169	233	18	,	,	PUNCT
aiti-11169	233	19	svm	svm	PROPN
aiti-11169	233	20	,	,	PUNCT
aiti-11169	233	21	lda	lda	PROPN
aiti-11169	233	22	,	,	PUNCT
aiti-11169	233	23	and	and	CCONJ
aiti-11169	233	24	qda	qda	PROPN
aiti-11169	233	25	classifiers	classifier	NOUN
aiti-11169	233	26	.	.	PUNCT
aiti-11169	234	1	each	each	DET
aiti-11169	234	2	classifier	classifier	NOUN
aiti-11169	234	3	was	be	AUX
aiti-11169	234	4	trained	train	VERB
aiti-11169	234	5	with	with	ADP
aiti-11169	234	6	learning	learn	VERB
aiti-11169	234	7	rates	rate	NOUN
aiti-11169	234	8	ranging	range	VERB
aiti-11169	234	9	from	from	ADP
aiti-11169	234	10	40	40	NUM
aiti-11169	234	11	%	%	NOUN
aiti-11169	234	12	to	to	PART
aiti-11169	234	13	80	80	NUM
aiti-11169	234	14	%	%	NOUN
aiti-11169	234	15	of	of	ADP
aiti-11169	234	16	the	the	DET
aiti-11169	234	17	total	total	ADJ
aiti-11169	234	18	samples	sample	NOUN
aiti-11169	234	19	(	(	PUNCT
aiti-11169	234	20	in	in	ADP
aiti-11169	234	21	increments	increment	NOUN
aiti-11169	234	22	of	of	ADP
aiti-11169	234	23	10	10	NUM
aiti-11169	234	24	%	%	NOUN
aiti-11169	234	25	)	)	PUNCT
aiti-11169	234	26	.	.	PUNCT
aiti-11169	235	1	the	the	DET
aiti-11169	235	2	remaining	remain	VERB
aiti-11169	235	3	samples	sample	NOUN
aiti-11169	235	4	were	be	AUX
aiti-11169	235	5	used	use	VERB
aiti-11169	235	6	as	as	ADP
aiti-11169	235	7	test	test	NOUN
aiti-11169	235	8	data	datum	NOUN
aiti-11169	235	9	.	.	PUNCT
aiti-11169	236	1	the	the	DET
aiti-11169	236	2	classification	classification	NOUN
aiti-11169	236	3	accuracy	accuracy	NOUN
aiti-11169	236	4	was	be	AUX
aiti-11169	236	5	then	then	ADV
aiti-11169	236	6	calculated	calculate	VERB
aiti-11169	236	7	using	use	VERB
aiti-11169	236	8	eq	eq	ADP
aiti-11169	236	9	.	.	PUNCT
aiti-11169	237	1	(	(	PUNCT
aiti-11169	237	2	9	9	NUM
aiti-11169	237	3	)	)	PUNCT
aiti-11169	237	4	.	.	PUNCT
aiti-11169	238	1	the	the	DET
aiti-11169	238	2	results	result	NOUN
aiti-11169	238	3	for	for	ADP
aiti-11169	238	4	the	the	DET
aiti-11169	238	5	vag	vag	NOUN
aiti-11169	238	6	,	,	PUNCT
aiti-11169	238	7	emg	emg	NOUN
aiti-11169	238	8	,	,	PUNCT
aiti-11169	238	9	and	and	CCONJ
aiti-11169	238	10	cough	cough	NOUN
aiti-11169	238	11	signals	signal	NOUN
aiti-11169	238	12	are	be	AUX
aiti-11169	238	13	summarized	summarize	VERB
aiti-11169	238	14	in	in	ADP
aiti-11169	238	15	figs	fig	NOUN
aiti-11169	238	16	.	.	PUNCT
aiti-11169	239	1	6	6	NUM
aiti-11169	239	2	-	-	SYM
aiti-11169	239	3	8	8	NUM
aiti-11169	239	4	,	,	PUNCT
aiti-11169	239	5	where	where	SCONJ
aiti-11169	239	6	the	the	DET
aiti-11169	239	7	vertical	vertical	ADJ
aiti-11169	239	8	coordinate	coordinate	NOUN
aiti-11169	239	9	represents	represent	VERB
aiti-11169	239	10	the	the	DET
aiti-11169	239	11	average	average	ADJ
aiti-11169	239	12	accuracy	accuracy	NOUN
aiti-11169	239	13	of	of	ADP
aiti-11169	239	14	100	100	NUM
aiti-11169	239	15	classifications	classification	NOUN
aiti-11169	239	16	using	use	VERB
aiti-11169	239	17	various	various	ADJ
aiti-11169	239	18	learning	learning	NOUN
aiti-11169	239	19	rates	rate	NOUN
aiti-11169	239	20	with	with	ADP
aiti-11169	239	21	a	a	DET
aiti-11169	239	22	one	one	NUM
aiti-11169	239	23	-	-	PUNCT
aiti-11169	239	24	way	way	NOUN
aiti-11169	239	25	anova	anova	PROPN
aiti-11169	239	26	test	test	NOUN
aiti-11169	239	27	after	after	ADP
aiti-11169	239	28	the	the	DET
aiti-11169	239	29	shapiro	shapiro	PROPN
aiti-11169	239	30	test	test	NOUN
aiti-11169	239	31	.	.	PUNCT
aiti-11169	240	1	as	as	SCONJ
aiti-11169	240	2	shown	show	VERB
aiti-11169	240	3	in	in	ADP
aiti-11169	240	4	the	the	DET
aiti-11169	240	5	figures	figure	NOUN
aiti-11169	240	6	,	,	PUNCT
aiti-11169	240	7	all	all	DET
aiti-11169	240	8	input	input	NOUN
aiti-11169	240	9	sets	set	NOUN
aiti-11169	240	10	for	for	ADP
aiti-11169	240	11	the	the	DET
aiti-11169	240	12	three	three	NUM
aiti-11169	240	13	types	type	NOUN
aiti-11169	240	14	of	of	ADP
aiti-11169	240	15	biomedical	biomedical	ADJ
aiti-11169	240	16	signals	signal	NOUN
aiti-11169	240	17	exhibit	exhibit	VERB
aiti-11169	240	18	an	an	DET
aiti-11169	240	19	increasing	increase	VERB
aiti-11169	240	20	trend	trend	NOUN
aiti-11169	240	21	in	in	ADP
aiti-11169	240	22	accuracy	accuracy	NOUN
aiti-11169	240	23	with	with	ADP
aiti-11169	240	24	a	a	DET
aiti-11169	240	25	raised	raise	VERB
aiti-11169	240	26	learning	learning	NOUN
aiti-11169	240	27	rate	rate	NOUN
aiti-11169	240	28	.	.	PUNCT
aiti-11169	241	1	however	however	ADV
aiti-11169	241	2	,	,	PUNCT
aiti-11169	241	3	the	the	DET
aiti-11169	241	4	most	most	ADV
aiti-11169	241	5	notable	notable	ADJ
aiti-11169	241	6	results	result	NOUN
aiti-11169	241	7	are	be	AUX
aiti-11169	241	8	that	that	SCONJ
aiti-11169	241	9	the	the	DET
aiti-11169	241	10	sets	set	NOUN
aiti-11169	241	11	including	include	VERB
aiti-11169	241	12	the	the	DET
aiti-11169	241	13	nf	nf	ADJ
aiti-11169	241	14	or	or	CCONJ
aiti-11169	241	15	rf	rf	NOUN
aiti-11169	241	16	features	feature	NOUN
aiti-11169	241	17	show	show	VERB
aiti-11169	241	18	greater	great	ADJ
aiti-11169	241	19	accuracy	accuracy	NOUN
aiti-11169	241	20	than	than	ADP
aiti-11169	241	21	merely	merely	ADV
aiti-11169	241	22	the	the	DET
aiti-11169	241	23	base	base	NOUN
aiti-11169	241	24	set	set	NOUN
aiti-11169	241	25	.	.	PUNCT
aiti-11169	242	1	this	this	DET
aiti-11169	242	2	result	result	NOUN
aiti-11169	242	3	is	be	AUX
aiti-11169	242	4	consistent	consistent	ADJ
aiti-11169	242	5	with	with	ADP
aiti-11169	242	6	the	the	DET
aiti-11169	242	7	hypothesis	hypothesis	NOUN
aiti-11169	242	8	of	of	ADP
aiti-11169	242	9	this	this	DET
aiti-11169	242	10	study	study	NOUN
aiti-11169	242	11	that	that	SCONJ
aiti-11169	242	12	the	the	DET
aiti-11169	242	13	new	new	ADJ
aiti-11169	242	14	feature	feature	NOUN
aiti-11169	242	15	introduced	introduce	VERB
aiti-11169	242	16	by	by	ADP
aiti-11169	242	17	the	the	DET
aiti-11169	242	18	algorithm	algorithm	NOUN
aiti-11169	242	19	as	as	ADP
aiti-11169	242	20	a	a	DET
aiti-11169	242	21	control	control	NOUN
aiti-11169	242	22	variable	variable	NOUN
aiti-11169	242	23	that	that	PRON
aiti-11169	242	24	is	be	AUX
aiti-11169	242	25	less	less	ADV
aiti-11169	242	26	correlated	correlate	VERB
aiti-11169	242	27	with	with	ADP
aiti-11169	242	28	other	other	ADJ
aiti-11169	242	29	existing	exist	VERB
aiti-11169	242	30	variables	variable	NOUN
aiti-11169	242	31	reduces	reduce	VERB
aiti-11169	242	32	the	the	DET
aiti-11169	242	33	overall	overall	ADJ
aiti-11169	242	34	correlation	correlation	NOUN
aiti-11169	242	35	between	between	ADP
aiti-11169	242	36	variables	variable	NOUN
aiti-11169	242	37	reduces	reduce	VERB
aiti-11169	242	38	bias	bias	NOUN
aiti-11169	242	39	in	in	ADP
aiti-11169	242	40	training	training	NOUN
aiti-11169	242	41	,	,	PUNCT
aiti-11169	242	42	and	and	CCONJ
aiti-11169	242	43	improves	improve	VERB
aiti-11169	242	44	classification	classification	NOUN
aiti-11169	242	45	accuracy	accuracy	NOUN
aiti-11169	242	46	.	.	PUNCT
aiti-11169	243	1	focusing	focus	VERB
aiti-11169	243	2	on	on	ADP
aiti-11169	243	3	the	the	DET
aiti-11169	243	4	vag	vag	NOUN
aiti-11169	243	5	signal	signal	NOUN
aiti-11169	243	6	in	in	ADP
aiti-11169	243	7	fig	fig	NOUN
aiti-11169	243	8	.	.	PUNCT
aiti-11169	244	1	6	6	NUM
aiti-11169	244	2	.	.	X
aiti-11169	244	3	first	first	ADV
aiti-11169	244	4	,	,	PUNCT
aiti-11169	244	5	the	the	DET
aiti-11169	244	6	input	input	NOUN
aiti-11169	244	7	sets	set	VERB
aiti-11169	244	8	containing	contain	VERB
aiti-11169	244	9	the	the	DET
aiti-11169	244	10	nf	nf	NOUN
aiti-11169	244	11	tend	tend	NOUN
aiti-11169	244	12	to	to	PART
aiti-11169	244	13	perform	perform	VERB
aiti-11169	244	14	better	well	ADV
aiti-11169	244	15	.	.	PUNCT
aiti-11169	245	1	the	the	DET
aiti-11169	245	2	qda	qda	NOUN
aiti-11169	245	3	classifier	classifier	NOUN
aiti-11169	245	4	with	with	ADP
aiti-11169	245	5	the	the	DET
aiti-11169	245	6	set	set	NOUN
aiti-11169	245	7	containing	contain	VERB
aiti-11169	245	8	the	the	DET
aiti-11169	245	9	nf	nf	NOUN
aiti-11169	245	10	and	and	CCONJ
aiti-11169	245	11	rf	rf	NOUN
aiti-11169	245	12	has	have	VERB
aiti-11169	245	13	the	the	DET
aiti-11169	245	14	highest	high	ADJ
aiti-11169	245	15	classification	classification	NOUN
aiti-11169	245	16	accuracy	accuracy	NOUN
aiti-11169	245	17	.	.	PUNCT
aiti-11169	246	1	further	further	ADJ
aiti-11169	246	2	analysis	analysis	NOUN
aiti-11169	246	3	indicates	indicate	VERB
aiti-11169	246	4	that	that	SCONJ
aiti-11169	246	5	the	the	DET
aiti-11169	246	6	classification	classification	NOUN
aiti-11169	246	7	accuracy	accuracy	NOUN
aiti-11169	246	8	improves	improve	VERB
aiti-11169	246	9	by	by	ADP
aiti-11169	246	10	3.12	3.12	NUM
aiti-11169	246	11	%	%	NOUN
aiti-11169	246	12	using	use	VERB
aiti-11169	246	13	the	the	DET
aiti-11169	246	14	base	base	NOUN
aiti-11169	246	15	set	set	VERB
aiti-11169	246	16	and	and	CCONJ
aiti-11169	246	17	3.65	3.65	NUM
aiti-11169	246	18	%	%	NOUN
aiti-11169	246	19	for	for	SCONJ
aiti-11169	246	20	the	the	DET
aiti-11169	246	21	base+nf	base+nf	NOUN
aiti-11169	246	22	set	set	VERB
aiti-11169	246	23	when	when	SCONJ
aiti-11169	246	24	the	the	DET
aiti-11169	246	25	training	training	NOUN
aiti-11169	246	26	rate	rate	NOUN
aiti-11169	246	27	is	be	AUX
aiti-11169	246	28	increased	increase	VERB
aiti-11169	246	29	to	to	ADP
aiti-11169	246	30	80	80	NUM
aiti-11169	246	31	%	%	NOUN
aiti-11169	246	32	for	for	ADP
aiti-11169	246	33	the	the	DET
aiti-11169	246	34	lr	lr	NOUN
aiti-11169	246	35	classifier	classifier	NOUN
aiti-11169	246	36	.	.	PUNCT
aiti-11169	247	1	advances	advance	NOUN
aiti-11169	247	2	in	in	ADP
aiti-11169	247	3	technology	technology	NOUN
aiti-11169	247	4	innovation	innovation	NOUN
aiti-11169	247	5	,	,	PUNCT
aiti-11169	247	6	vol	vol	NOUN
aiti-11169	247	7	.	.	PROPN
aiti-11169	247	8	8	8	NUM
aiti-11169	247	9	,	,	PUNCT
aiti-11169	247	10	no	no	INTJ
aiti-11169	247	11	.	.	NOUN
aiti-11169	247	12	3	3	NUM
aiti-11169	247	13	,	,	PUNCT
aiti-11169	247	14	2023	2023	NUM
aiti-11169	247	15	,	,	PUNCT
aiti-11169	247	16	pp	pp	ADJ
aiti-11169	247	17	.	.	PUNCT
aiti-11169	248	1	163	163	NUM
aiti-11169	248	2	-	-	SYM
aiti-11169	248	3	176	176	NUM
aiti-11169	248	4	172	172	NUM
aiti-11169	248	5	(	(	PUNCT
aiti-11169	248	6	a	a	X
aiti-11169	248	7	)	)	PUNCT
aiti-11169	248	8	lda	lda	PROPN
aiti-11169	248	9	classifier	classifier	NOUN
aiti-11169	248	10	(	(	PUNCT
aiti-11169	248	11	b	b	NOUN
aiti-11169	248	12	)	)	PUNCT
aiti-11169	248	13	lr	lr	NOUN
aiti-11169	248	14	classifier	classifier	NOUN
aiti-11169	248	15	(	(	PUNCT
aiti-11169	248	16	c	c	NOUN
aiti-11169	248	17	)	)	PUNCT
aiti-11169	248	18	svm	svm	ADJ
aiti-11169	248	19	classifier	classifier	NOUN
aiti-11169	248	20	(	(	PUNCT
aiti-11169	248	21	d	d	NOUN
aiti-11169	248	22	)	)	PUNCT
aiti-11169	248	23	qda	qda	PROPN
aiti-11169	248	24	classifier	classifier	PROPN
aiti-11169	248	25	fig	fig	PROPN
aiti-11169	248	26	.	.	PUNCT
aiti-11169	249	1	6	6	NUM
aiti-11169	249	2	accuracy	accuracy	NOUN
aiti-11169	249	3	of	of	ADP
aiti-11169	249	4	vag	vag	ADJ
aiti-11169	249	5	signal	signal	NOUN
aiti-11169	249	6	for	for	ADP
aiti-11169	249	7	four	four	NUM
aiti-11169	249	8	classifiers	classifier	NOUN
aiti-11169	249	9	(	(	PUNCT
aiti-11169	249	10	a	a	X
aiti-11169	249	11	)	)	PUNCT
aiti-11169	249	12	lda	lda	PROPN
aiti-11169	249	13	classifier	classifier	NOUN
aiti-11169	249	14	(	(	PUNCT
aiti-11169	249	15	b	b	NOUN
aiti-11169	249	16	)	)	PUNCT
aiti-11169	249	17	lr	lr	NOUN
aiti-11169	249	18	classifier	classifier	NOUN
aiti-11169	249	19	(	(	PUNCT
aiti-11169	249	20	c	c	NOUN
aiti-11169	249	21	)	)	PUNCT
aiti-11169	249	22	svm	svm	ADJ
aiti-11169	249	23	classifier	classifier	NOUN
aiti-11169	249	24	(	(	PUNCT
aiti-11169	249	25	d	d	NOUN
aiti-11169	249	26	)	)	PUNCT
aiti-11169	249	27	qda	qda	PROPN
aiti-11169	249	28	classifier	classifier	PROPN
aiti-11169	249	29	fig	fig	PROPN
aiti-11169	249	30	.	.	PUNCT
aiti-11169	250	1	7	7	NUM
aiti-11169	250	2	accuracy	accuracy	NOUN
aiti-11169	250	3	of	of	ADP
aiti-11169	250	4	emg	emg	NOUN
aiti-11169	250	5	signal	signal	NOUN
aiti-11169	250	6	for	for	ADP
aiti-11169	250	7	four	four	NUM
aiti-11169	250	8	classifiers	classifier	NOUN
aiti-11169	250	9	fig	fig	NOUN
aiti-11169	250	10	.	.	PUNCT
aiti-11169	250	11	7	7	NUM
aiti-11169	250	12	indicates	indicate	VERB
aiti-11169	250	13	that	that	SCONJ
aiti-11169	250	14	the	the	DET
aiti-11169	250	15	classification	classification	NOUN
aiti-11169	250	16	accuracy	accuracy	NOUN
aiti-11169	250	17	for	for	ADP
aiti-11169	250	18	the	the	DET
aiti-11169	250	19	emg	emg	NOUN
aiti-11169	250	20	signal	signal	NOUN
aiti-11169	250	21	is	be	AUX
aiti-11169	250	22	as	as	ADV
aiti-11169	250	23	high	high	ADJ
aiti-11169	250	24	as	as	ADP
aiti-11169	250	25	98	98	NUM
aiti-11169	250	26	%	%	NOUN
aiti-11169	250	27	for	for	ADP
aiti-11169	250	28	all	all	DET
aiti-11169	250	29	four	four	NUM
aiti-11169	250	30	classifiers	classifier	NOUN
aiti-11169	250	31	,	,	PUNCT
aiti-11169	250	32	which	which	PRON
aiti-11169	250	33	is	be	AUX
aiti-11169	250	34	considerably	considerably	ADV
aiti-11169	250	35	higher	high	ADJ
aiti-11169	250	36	than	than	ADP
aiti-11169	250	37	the	the	DET
aiti-11169	250	38	maximum	maximum	ADJ
aiti-11169	250	39	values	value	NOUN
aiti-11169	250	40	for	for	ADP
aiti-11169	250	41	the	the	DET
aiti-11169	250	42	other	other	ADJ
aiti-11169	250	43	biomedical	biomedical	ADJ
aiti-11169	250	44	signals	signal	NOUN
aiti-11169	250	45	.	.	PUNCT
aiti-11169	251	1	the	the	DET
aiti-11169	251	2	set	set	NOUN
aiti-11169	251	3	containing	contain	VERB
aiti-11169	251	4	the	the	DET
aiti-11169	251	5	nf	nf	ADJ
aiti-11169	251	6	or	or	CCONJ
aiti-11169	251	7	rf	rf	NOUN
aiti-11169	251	8	shows	show	VERB
aiti-11169	251	9	a	a	DET
aiti-11169	251	10	higher	high	ADJ
aiti-11169	251	11	accuracy	accuracy	NOUN
aiti-11169	251	12	under	under	ADP
aiti-11169	251	13	most	most	ADJ
aiti-11169	251	14	conditions	condition	NOUN
aiti-11169	251	15	except	except	SCONJ
aiti-11169	251	16	for	for	SCONJ
aiti-11169	251	17	the	the	DET
aiti-11169	251	18	qda	qda	NOUN
aiti-11169	251	19	classifier	classifier	NOUN
aiti-11169	251	20	applied	apply	VERB
aiti-11169	251	21	at	at	ADP
aiti-11169	251	22	an	an	DET
aiti-11169	251	23	80	80	NUM
aiti-11169	251	24	%	%	NOUN
aiti-11169	251	25	training	training	NOUN
aiti-11169	251	26	rate	rate	NOUN
aiti-11169	251	27	.	.	PUNCT
aiti-11169	252	1	fig	fig	NOUN
aiti-11169	252	2	.	.	PUNCT
aiti-11169	253	1	8	8	NUM
aiti-11169	253	2	shows	show	VERB
aiti-11169	253	3	that	that	SCONJ
aiti-11169	253	4	the	the	DET
aiti-11169	253	5	cough	cough	NOUN
aiti-11169	253	6	signal	signal	NOUN
aiti-11169	253	7	is	be	AUX
aiti-11169	253	8	less	less	ADV
aiti-11169	253	9	accurate	accurate	ADJ
aiti-11169	253	10	and	and	CCONJ
aiti-11169	253	11	regular	regular	ADJ
aiti-11169	253	12	than	than	ADP
aiti-11169	253	13	the	the	DET
aiti-11169	253	14	other	other	ADJ
aiti-11169	253	15	signals	signal	NOUN
aiti-11169	253	16	.	.	PUNCT
aiti-11169	254	1	in	in	ADP
aiti-11169	254	2	this	this	DET
aiti-11169	254	3	study	study	NOUN
aiti-11169	254	4	,	,	PUNCT
aiti-11169	254	5	the	the	DET
aiti-11169	254	6	largest	large	ADJ
aiti-11169	254	7	improvement	improvement	NOUN
aiti-11169	254	8	in	in	ADP
aiti-11169	254	9	accuracy	accuracy	NOUN
aiti-11169	254	10	is	be	AUX
aiti-11169	254	11	observed	observe	VERB
aiti-11169	254	12	at	at	ADP
aiti-11169	254	13	a	a	DET
aiti-11169	254	14	advances	advance	NOUN
aiti-11169	254	15	in	in	ADP
aiti-11169	254	16	technology	technology	NOUN
aiti-11169	254	17	innovation	innovation	NOUN
aiti-11169	254	18	,	,	PUNCT
aiti-11169	254	19	vol	vol	NOUN
aiti-11169	254	20	.	.	PROPN
aiti-11169	254	21	8	8	NUM
aiti-11169	254	22	,	,	PUNCT
aiti-11169	254	23	no	no	INTJ
aiti-11169	254	24	.	.	NOUN
aiti-11169	254	25	3	3	NUM
aiti-11169	254	26	,	,	PUNCT
aiti-11169	254	27	2023	2023	NUM
aiti-11169	254	28	,	,	PUNCT
aiti-11169	254	29	pp	pp	ADJ
aiti-11169	254	30	.	.	PUNCT
aiti-11169	255	1	163	163	NUM
aiti-11169	255	2	-	-	SYM
aiti-11169	255	3	176	176	NUM
aiti-11169	255	4	173	173	NUM
aiti-11169	255	5	60	60	NUM
aiti-11169	255	6	%	%	NOUN
aiti-11169	255	7	training	training	NOUN
aiti-11169	255	8	rate	rate	NOUN
aiti-11169	255	9	for	for	ADP
aiti-11169	255	10	the	the	DET
aiti-11169	255	11	qda	qda	NOUN
aiti-11169	255	12	classifier	classifier	NOUN
aiti-11169	255	13	,	,	PUNCT
aiti-11169	255	14	which	which	PRON
aiti-11169	255	15	is	be	AUX
aiti-11169	255	16	an	an	DET
aiti-11169	255	17	improvement	improvement	NOUN
aiti-11169	255	18	of	of	ADP
aiti-11169	255	19	approximately	approximately	ADV
aiti-11169	255	20	10	10	NUM
aiti-11169	255	21	%	%	NOUN
aiti-11169	255	22	compared	compare	VERB
aiti-11169	255	23	to	to	ADP
aiti-11169	255	24	the	the	DET
aiti-11169	255	25	initial	initial	ADJ
aiti-11169	255	26	stage	stage	NOUN
aiti-11169	255	27	.	.	PUNCT
aiti-11169	256	1	in	in	ADP
aiti-11169	256	2	addition	addition	NOUN
aiti-11169	256	3	,	,	PUNCT
aiti-11169	256	4	although	although	SCONJ
aiti-11169	256	5	the	the	DET
aiti-11169	256	6	accuracy	accuracy	NOUN
aiti-11169	256	7	monotonically	monotonically	ADV
aiti-11169	256	8	increased	increase	VERB
aiti-11169	256	9	as	as	SCONJ
aiti-11169	256	10	the	the	DET
aiti-11169	256	11	training	training	NOUN
aiti-11169	256	12	rate	rate	NOUN
aiti-11169	256	13	raised	raise	VERB
aiti-11169	256	14	,	,	PUNCT
aiti-11169	256	15	there	there	PRON
aiti-11169	256	16	were	be	VERB
aiti-11169	256	17	several	several	ADJ
aiti-11169	256	18	monotonic	monotonic	ADJ
aiti-11169	256	19	changes	change	NOUN
aiti-11169	256	20	in	in	ADP
aiti-11169	256	21	all	all	DET
aiti-11169	256	22	biomedical	biomedical	ADJ
aiti-11169	256	23	signals	signal	NOUN
aiti-11169	256	24	.	.	PUNCT
aiti-11169	257	1	this	this	DET
aiti-11169	257	2	result	result	NOUN
aiti-11169	257	3	is	be	AUX
aiti-11169	257	4	most	most	ADV
aiti-11169	257	5	likely	likely	ADJ
aiti-11169	257	6	due	due	ADP
aiti-11169	257	7	to	to	ADP
aiti-11169	257	8	errors	error	NOUN
aiti-11169	257	9	during	during	ADP
aiti-11169	257	10	random	random	ADJ
aiti-11169	257	11	sampling	sampling	NOUN
aiti-11169	257	12	;	;	PUNCT
aiti-11169	257	13	therefore	therefore	ADV
aiti-11169	257	14	,	,	PUNCT
aiti-11169	257	15	a	a	DET
aiti-11169	257	16	repetitive	repetitive	ADJ
aiti-11169	257	17	sampling	sample	VERB
aiti-11169	257	18	comparison	comparison	NOUN
aiti-11169	257	19	was	be	AUX
aiti-11169	257	20	implemented	implement	VERB
aiti-11169	257	21	as	as	SCONJ
aiti-11169	257	22	follows	follow	VERB
aiti-11169	257	23	:	:	PUNCT
aiti-11169	257	24	(	(	PUNCT
aiti-11169	257	25	a	a	X
aiti-11169	257	26	)	)	PUNCT
aiti-11169	257	27	lda	lda	PROPN
aiti-11169	257	28	classifier	classifier	NOUN
aiti-11169	257	29	(	(	PUNCT
aiti-11169	257	30	b	b	NOUN
aiti-11169	257	31	)	)	PUNCT
aiti-11169	257	32	lr	lr	NOUN
aiti-11169	257	33	classifier	classifier	NOUN
aiti-11169	257	34	(	(	PUNCT
aiti-11169	257	35	c	c	NOUN
aiti-11169	257	36	)	)	PUNCT
aiti-11169	257	37	svm	svm	ADJ
aiti-11169	257	38	classifier	classifier	NOUN
aiti-11169	257	39	(	(	PUNCT
aiti-11169	257	40	d	d	NOUN
aiti-11169	257	41	)	)	PUNCT
aiti-11169	257	42	qda	qda	PROPN
aiti-11169	257	43	classifier	classifier	PROPN
aiti-11169	257	44	fig	fig	PROPN
aiti-11169	257	45	.	.	PUNCT
aiti-11169	258	1	8	8	NUM
aiti-11169	258	2	accuracy	accuracy	NOUN
aiti-11169	258	3	of	of	ADP
aiti-11169	258	4	cough	cough	NOUN
aiti-11169	258	5	signal	signal	NOUN
aiti-11169	258	6	for	for	ADP
aiti-11169	258	7	four	four	NUM
aiti-11169	258	8	classifiers	classifier	NOUN
aiti-11169	258	9	(	(	PUNCT
aiti-11169	258	10	a	a	X
aiti-11169	258	11	)	)	PUNCT
aiti-11169	258	12	vag	vag	NOUN
aiti-11169	258	13	signal	signal	NOUN
aiti-11169	258	14	(	(	PUNCT
aiti-11169	258	15	b	b	NOUN
aiti-11169	258	16	)	)	PUNCT
aiti-11169	258	17	emg	emg	NOUN
aiti-11169	258	18	signal	signal	NOUN
aiti-11169	258	19	(	(	PUNCT
aiti-11169	258	20	c	c	NOUN
aiti-11169	258	21	)	)	PUNCT
aiti-11169	258	22	cough	cough	NOUN
aiti-11169	258	23	signal	signal	NOUN
aiti-11169	258	24	fig	fig	NOUN
aiti-11169	258	25	.	.	PUNCT
aiti-11169	259	1	9	9	NUM
aiti-11169	259	2	accuracy	accuracy	NOUN
aiti-11169	259	3	of	of	ADP
aiti-11169	259	4	the	the	DET
aiti-11169	259	5	prs	prs	NOUN
aiti-11169	259	6	and	and	CCONJ
aiti-11169	259	7	comparison	comparison	NOUN
aiti-11169	259	8	sets	set	NOUN
aiti-11169	259	9	with	with	ADP
aiti-11169	259	10	a	a	DET
aiti-11169	259	11	60	60	NUM
aiti-11169	259	12	%	%	NOUN
aiti-11169	259	13	learning	learning	NOUN
aiti-11169	259	14	rate	rate	NOUN
aiti-11169	259	15	for	for	ADP
aiti-11169	259	16	the	the	DET
aiti-11169	259	17	svm	svm	PROPN
aiti-11169	259	18	classifier	classifier	PROPN
aiti-11169	259	19	fig	fig	PROPN
aiti-11169	259	20	.	.	PUNCT
aiti-11169	260	1	9	9	NUM
aiti-11169	260	2	compares	compare	VERB
aiti-11169	260	3	the	the	DET
aiti-11169	260	4	accuracy	accuracy	NOUN
aiti-11169	260	5	of	of	ADP
aiti-11169	260	6	the	the	DET
aiti-11169	260	7	base	base	NOUN
aiti-11169	260	8	set	set	NOUN
aiti-11169	260	9	,	,	PUNCT
aiti-11169	260	10	prs	prs	NOUN
aiti-11169	260	11	-	-	PUNCT
aiti-11169	260	12	features	feature	NOUN
aiti-11169	260	13	sets	set	NOUN
aiti-11169	260	14	,	,	PUNCT
aiti-11169	260	15	and	and	CCONJ
aiti-11169	260	16	frequency	frequency	NOUN
aiti-11169	260	17	-	-	PUNCT
aiti-11169	260	18	domain	domain	NOUN
aiti-11169	260	19	feature	feature	NOUN
aiti-11169	260	20	sets	set	NOUN
aiti-11169	260	21	using	use	VERB
aiti-11169	260	22	a	a	DET
aiti-11169	260	23	60	60	NUM
aiti-11169	260	24	%	%	NOUN
aiti-11169	260	25	learning	learning	NOUN
aiti-11169	260	26	rate	rate	NOUN
aiti-11169	260	27	for	for	ADP
aiti-11169	260	28	the	the	DET
aiti-11169	260	29	svm	svm	PROPN
aiti-11169	260	30	classifier	classifier	NOUN
aiti-11169	260	31	.	.	PUNCT
aiti-11169	261	1	tukey	tukey	PROPN
aiti-11169	261	2	’s	’s	PART
aiti-11169	261	3	multiple	multiple	ADJ
aiti-11169	261	4	comparison	comparison	NOUN
aiti-11169	261	5	tests	test	NOUN
aiti-11169	261	6	of	of	ADP
aiti-11169	261	7	the	the	DET
aiti-11169	261	8	means	mean	NOUN
aiti-11169	261	9	using	use	VERB
aiti-11169	261	10	a	a	DET
aiti-11169	261	11	95	95	NUM
aiti-11169	261	12	%	%	NOUN
aiti-11169	261	13	family	family	NOUN
aiti-11169	261	14	-	-	PUNCT
aiti-11169	261	15	wise	wise	ADJ
aiti-11169	261	16	confidence	confidence	NOUN
aiti-11169	261	17	level	level	NOUN
aiti-11169	261	18	were	be	AUX
aiti-11169	261	19	conducted	conduct	VERB
aiti-11169	261	20	on	on	ADP
aiti-11169	261	21	the	the	DET
aiti-11169	261	22	raw	raw	ADJ
aiti-11169	261	23	data	datum	NOUN
aiti-11169	261	24	shown	show	VERB
aiti-11169	261	25	.	.	PUNCT
aiti-11169	262	1	for	for	ADP
aiti-11169	262	2	the	the	DET
aiti-11169	262	3	vag	vag	NOUN
aiti-11169	262	4	signal	signal	NOUN
aiti-11169	262	5	,	,	PUNCT
aiti-11169	262	6	the	the	DET
aiti-11169	262	7	average	average	ADJ
aiti-11169	262	8	differences	difference	NOUN
aiti-11169	262	9	between	between	ADP
aiti-11169	262	10	the	the	DET
aiti-11169	262	11	prs	prs	NOUN
aiti-11169	262	12	-	-	PUNCT
aiti-11169	262	13	features	feature	NOUN
aiti-11169	262	14	set	set	VERB
aiti-11169	262	15	and	and	CCONJ
aiti-11169	262	16	the	the	DET
aiti-11169	262	17	base	base	NOUN
aiti-11169	262	18	set	set	VERB
aiti-11169	262	19	were	be	AUX
aiti-11169	262	20	greater	great	ADJ
aiti-11169	262	21	than	than	ADP
aiti-11169	262	22	3.71	3.71	NUM
aiti-11169	262	23	%	%	NOUN
aiti-11169	262	24	,	,	PUNCT
aiti-11169	262	25	while	while	SCONJ
aiti-11169	262	26	the	the	DET
aiti-11169	262	27	prs	prs	NOUN
aiti-11169	262	28	-	-	PUNCT
aiti-11169	262	29	features	feature	NOUN
aiti-11169	262	30	sets	set	NOUN
aiti-11169	262	31	and	and	CCONJ
aiti-11169	262	32	frequency	frequency	NOUN
aiti-11169	262	33	-	-	PUNCT
aiti-11169	262	34	domain	domain	NOUN
aiti-11169	262	35	features	feature	NOUN
aiti-11169	262	36	sets	set	NOUN
aiti-11169	262	37	were	be	AUX
aiti-11169	262	38	greater	great	ADJ
aiti-11169	262	39	than	than	ADP
aiti-11169	262	40	1.63	1.63	NUM
aiti-11169	262	41	%	%	NOUN
aiti-11169	262	42	.	.	PUNCT
aiti-11169	263	1	all	all	DET
aiti-11169	263	2	pvalues	pvalue	NOUN
aiti-11169	263	3	were	be	AUX
aiti-11169	263	4	less	less	ADJ
aiti-11169	263	5	than	than	ADP
aiti-11169	263	6	0.05	0.05	NUM
aiti-11169	263	7	.	.	PUNCT
aiti-11169	264	1	the	the	DET
aiti-11169	264	2	emg	emg	NOUN
aiti-11169	264	3	and	and	CCONJ
aiti-11169	264	4	cough	cough	NOUN
aiti-11169	264	5	signals	signal	NOUN
aiti-11169	264	6	followed	follow	VERB
aiti-11169	264	7	the	the	DET
aiti-11169	264	8	same	same	ADJ
aiti-11169	264	9	pattern	pattern	NOUN
aiti-11169	264	10	.	.	PUNCT
aiti-11169	265	1	in	in	ADP
aiti-11169	265	2	summary	summary	NOUN
aiti-11169	265	3	,	,	PUNCT
aiti-11169	265	4	the	the	DET
aiti-11169	265	5	results	result	NOUN
aiti-11169	265	6	indicate	indicate	VERB
aiti-11169	265	7	that	that	SCONJ
aiti-11169	265	8	the	the	DET
aiti-11169	265	9	sets	set	NOUN
aiti-11169	265	10	containing	contain	VERB
aiti-11169	265	11	only	only	ADV
aiti-11169	265	12	the	the	DET
aiti-11169	265	13	base	base	NOUN
aiti-11169	265	14	features	feature	NOUN
aiti-11169	265	15	had	have	VERB
aiti-11169	265	16	a	a	DET
aiti-11169	265	17	consistently	consistently	ADV
aiti-11169	265	18	lower	low	ADJ
aiti-11169	265	19	accuracy	accuracy	NOUN
aiti-11169	265	20	rate	rate	NOUN
aiti-11169	265	21	;	;	PUNCT
aiti-11169	265	22	however	however	ADV
aiti-11169	265	23	,	,	PUNCT
aiti-11169	265	24	the	the	DET
aiti-11169	265	25	prs	prs	NOUN
aiti-11169	265	26	-	-	PUNCT
aiti-11169	265	27	features	feature	NOUN
aiti-11169	265	28	sets	set	NOUN
aiti-11169	265	29	had	have	VERB
aiti-11169	265	30	a	a	DET
aiti-11169	265	31	consistently	consistently	ADV
aiti-11169	265	32	higher	high	ADJ
aiti-11169	265	33	accuracy	accuracy	NOUN
aiti-11169	265	34	rate	rate	NOUN
aiti-11169	265	35	.	.	PUNCT
aiti-11169	266	1	advances	advance	NOUN
aiti-11169	266	2	in	in	ADP
aiti-11169	266	3	technology	technology	NOUN
aiti-11169	266	4	innovation	innovation	NOUN
aiti-11169	266	5	,	,	PUNCT
aiti-11169	266	6	vol	vol	NOUN
aiti-11169	266	7	.	.	PROPN
aiti-11169	266	8	8	8	NUM
aiti-11169	266	9	,	,	PUNCT
aiti-11169	266	10	no	no	INTJ
aiti-11169	266	11	.	.	NOUN
aiti-11169	266	12	3	3	NUM
aiti-11169	266	13	,	,	PUNCT
aiti-11169	266	14	2023	2023	NUM
aiti-11169	266	15	,	,	PUNCT
aiti-11169	266	16	pp	pp	ADJ
aiti-11169	266	17	.	.	PUNCT
aiti-11169	267	1	163	163	NUM
aiti-11169	267	2	-	-	SYM
aiti-11169	267	3	176	176	NUM
aiti-11169	267	4	174	174	NUM
aiti-11169	267	5	5	5	NUM
aiti-11169	267	6	.	.	PUNCT
aiti-11169	267	7	discussion	discussion	NOUN
aiti-11169	267	8	for	for	ADP
aiti-11169	267	9	the	the	DET
aiti-11169	267	10	vag	vag	NOUN
aiti-11169	267	11	signals	signal	NOUN
aiti-11169	267	12	,	,	PUNCT
aiti-11169	267	13	the	the	DET
aiti-11169	267	14	prs	prs	NOUN
aiti-11169	267	15	features	feature	NOUN
aiti-11169	267	16	-	-	PUNCT
aiti-11169	267	17	sets	set	NOUN
aiti-11169	267	18	showed	show	VERB
aiti-11169	267	19	a	a	DET
aiti-11169	267	20	maximum	maximum	ADJ
aiti-11169	267	21	accuracy	accuracy	NOUN
aiti-11169	267	22	of	of	ADP
aiti-11169	267	23	93	93	NUM
aiti-11169	267	24	%	%	NOUN
aiti-11169	267	25	,	,	PUNCT
aiti-11169	267	26	which	which	PRON
aiti-11169	267	27	is	be	AUX
aiti-11169	267	28	higher	high	ADJ
aiti-11169	267	29	than	than	ADP
aiti-11169	267	30	that	that	PRON
aiti-11169	267	31	reported	report	VERB
aiti-11169	267	32	in	in	ADP
aiti-11169	267	33	previous	previous	ADJ
aiti-11169	267	34	studies	study	NOUN
aiti-11169	267	35	[	[	X
aiti-11169	267	36	3	3	NUM
aiti-11169	267	37	,	,	PUNCT
aiti-11169	267	38	24	24	NUM
aiti-11169	267	39	]	]	PUNCT
aiti-11169	267	40	.	.	PUNCT
aiti-11169	268	1	these	these	DET
aiti-11169	268	2	results	result	NOUN
aiti-11169	268	3	validate	validate	VERB
aiti-11169	268	4	the	the	DET
aiti-11169	268	5	findings	finding	NOUN
aiti-11169	268	6	of	of	ADP
aiti-11169	268	7	rauber	rauber	PROPN
aiti-11169	268	8	et	et	PROPN
aiti-11169	268	9	al	al	PROPN
aiti-11169	268	10	.	.	PUNCT
aiti-11169	269	1	[	[	X
aiti-11169	269	2	14	14	NUM
aiti-11169	269	3	]	]	PUNCT
aiti-11169	269	4	in	in	ADP
aiti-11169	269	5	2015	2015	NUM
aiti-11169	269	6	that	that	PRON
aiti-11169	269	7	only	only	ADV
aiti-11169	269	8	appropriate	appropriate	ADJ
aiti-11169	269	9	features	feature	NOUN
aiti-11169	269	10	could	could	AUX
aiti-11169	269	11	improve	improve	VERB
aiti-11169	269	12	the	the	DET
aiti-11169	269	13	performance	performance	NOUN
aiti-11169	269	14	of	of	ADP
aiti-11169	269	15	the	the	DET
aiti-11169	269	16	classifiers	classifier	NOUN
aiti-11169	269	17	.	.	PUNCT
aiti-11169	270	1	although	although	SCONJ
aiti-11169	270	2	the	the	DET
aiti-11169	270	3	prs	prs	NOUN
aiti-11169	270	4	-	-	PUNCT
aiti-11169	270	5	features	feature	NOUN
aiti-11169	270	6	sets	set	NOUN
aiti-11169	270	7	did	do	AUX
aiti-11169	270	8	not	not	PART
aiti-11169	270	9	achieve	achieve	VERB
aiti-11169	270	10	the	the	DET
aiti-11169	270	11	80	80	NUM
aiti-11169	270	12	%	%	NOUN
aiti-11169	270	13	accuracy	accuracy	NOUN
aiti-11169	270	14	reported	report	VERB
aiti-11169	270	15	by	by	ADP
aiti-11169	270	16	chaudhari	chaudhari	PROPN
aiti-11169	270	17	et	et	PROPN
aiti-11169	270	18	al	al	PROPN
aiti-11169	270	19	.	.	PUNCT
aiti-11169	271	1	[	[	X
aiti-11169	271	2	26	26	NUM
aiti-11169	271	3	]	]	PUNCT
aiti-11169	271	4	in	in	ADP
aiti-11169	271	5	2020	2020	NUM
aiti-11169	271	6	,	,	PUNCT
aiti-11169	271	7	a	a	DET
aiti-11169	271	8	76	76	NUM
aiti-11169	271	9	%	%	NOUN
aiti-11169	271	10	accuracy	accuracy	NOUN
aiti-11169	271	11	could	could	AUX
aiti-11169	271	12	be	be	AUX
aiti-11169	271	13	achieved	achieve	VERB
aiti-11169	271	14	with	with	ADP
aiti-11169	271	15	only	only	ADV
aiti-11169	271	16	one	one	NUM
aiti-11169	271	17	-	-	PUNCT
aiti-11169	271	18	tenth	tenth	NOUN
aiti-11169	271	19	of	of	ADP
aiti-11169	271	20	the	the	DET
aiti-11169	271	21	sample	sample	NOUN
aiti-11169	271	22	size	size	NOUN
aiti-11169	271	23	.	.	PUNCT
aiti-11169	272	1	this	this	DET
aiti-11169	272	2	study	study	NOUN
aiti-11169	272	3	was	be	AUX
aiti-11169	272	4	unable	unable	ADJ
aiti-11169	272	5	to	to	PART
aiti-11169	272	6	find	find	VERB
aiti-11169	272	7	published	publish	VERB
aiti-11169	272	8	classification	classification	NOUN
aiti-11169	272	9	results	result	NOUN
aiti-11169	272	10	for	for	ADP
aiti-11169	272	11	the	the	DET
aiti-11169	272	12	emg	emg	NOUN
aiti-11169	272	13	signals	signal	NOUN
aiti-11169	272	14	;	;	PUNCT
aiti-11169	272	15	however	however	ADV
aiti-11169	272	16	,	,	PUNCT
aiti-11169	272	17	the	the	DET
aiti-11169	272	18	authors	author	NOUN
aiti-11169	272	19	believe	believe	VERB
aiti-11169	272	20	that	that	SCONJ
aiti-11169	272	21	a	a	DET
aiti-11169	272	22	classification	classification	NOUN
aiti-11169	272	23	accuracy	accuracy	NOUN
aiti-11169	272	24	of	of	ADP
aiti-11169	272	25	up	up	ADP
aiti-11169	272	26	to	to	PART
aiti-11169	272	27	98	98	NUM
aiti-11169	272	28	%	%	NOUN
aiti-11169	272	29	is	be	AUX
aiti-11169	272	30	quite	quite	ADV
aiti-11169	272	31	satisfactory	satisfactory	ADJ
aiti-11169	272	32	.	.	PUNCT
aiti-11169	273	1	fig	fig	NOUN
aiti-11169	273	2	.	.	PUNCT
aiti-11169	274	1	10	10	NUM
aiti-11169	274	2	correlation	correlation	NOUN
aiti-11169	274	3	between	between	ADP
aiti-11169	274	4	individual	individual	ADJ
aiti-11169	274	5	features	feature	NOUN
aiti-11169	274	6	of	of	ADP
aiti-11169	274	7	the	the	DET
aiti-11169	274	8	emg	emg	NOUN
aiti-11169	274	9	signal	signal	VERB
aiti-11169	274	10	the	the	DET
aiti-11169	274	11	swarm	swarm	NOUN
aiti-11169	274	12	intelligence	intelligence	NOUN
aiti-11169	274	13	approach	approach	NOUN
aiti-11169	274	14	’s	’s	PART
aiti-11169	274	15	most	most	ADV
aiti-11169	274	16	significant	significant	ADJ
aiti-11169	274	17	characteristic	characteristic	NOUN
aiti-11169	274	18	is	be	AUX
aiti-11169	274	19	to	to	PART
aiti-11169	274	20	extract	extract	VERB
aiti-11169	274	21	a	a	DET
aiti-11169	274	22	feature	feature	NOUN
aiti-11169	274	23	set	set	VERB
aiti-11169	274	24	with	with	ADP
aiti-11169	274	25	exceptionally	exceptionally	ADV
aiti-11169	274	26	low	low	ADJ
aiti-11169	274	27	correlations	correlation	NOUN
aiti-11169	274	28	by	by	ADP
aiti-11169	274	29	simulating	simulate	VERB
aiti-11169	274	30	the	the	DET
aiti-11169	274	31	development	development	NOUN
aiti-11169	274	32	of	of	ADP
aiti-11169	274	33	natural	natural	ADJ
aiti-11169	274	34	prs	prs	NOUN
aiti-11169	274	35	.	.	PUNCT
aiti-11169	275	1	the	the	DET
aiti-11169	275	2	feature	feature	NOUN
aiti-11169	275	3	correlations	correlation	NOUN
aiti-11169	275	4	for	for	ADP
aiti-11169	275	5	the	the	DET
aiti-11169	275	6	emg	emg	NOUN
aiti-11169	275	7	signals	signal	NOUN
aiti-11169	275	8	are	be	AUX
aiti-11169	275	9	shown	show	VERB
aiti-11169	275	10	in	in	ADP
aiti-11169	275	11	fig	fig	NOUN
aiti-11169	275	12	.	.	PUNCT
aiti-11169	276	1	10	10	NUM
aiti-11169	276	2	,	,	PUNCT
aiti-11169	276	3	where	where	SCONJ
aiti-11169	276	4	the	the	DET
aiti-11169	276	5	circle	circle	NOUN
aiti-11169	276	6	at	at	ADP
aiti-11169	276	7	the	the	DET
aiti-11169	276	8	intersection	intersection	NOUN
aiti-11169	276	9	of	of	ADP
aiti-11169	276	10	a	a	DET
aiti-11169	276	11	feature	feature	NOUN
aiti-11169	276	12	row	row	NOUN
aiti-11169	276	13	and	and	CCONJ
aiti-11169	276	14	the	the	DET
aiti-11169	276	15	column	column	NOUN
aiti-11169	276	16	of	of	ADP
aiti-11169	276	17	another	another	DET
aiti-11169	276	18	feature	feature	NOUN
aiti-11169	276	19	represents	represent	VERB
aiti-11169	276	20	the	the	DET
aiti-11169	276	21	correlation	correlation	NOUN
aiti-11169	276	22	between	between	ADP
aiti-11169	276	23	the	the	DET
aiti-11169	276	24	two	two	NUM
aiti-11169	276	25	features	feature	NOUN
aiti-11169	276	26	.	.	PUNCT
aiti-11169	277	1	a	a	DET
aiti-11169	277	2	cool	cool	ADJ
aiti-11169	277	3	-	-	PUNCT
aiti-11169	277	4	toned	toned	ADJ
aiti-11169	277	5	circle	circle	NOUN
aiti-11169	277	6	indicates	indicate	VERB
aiti-11169	277	7	a	a	DET
aiti-11169	277	8	positive	positive	ADJ
aiti-11169	277	9	correlation	correlation	NOUN
aiti-11169	277	10	,	,	PUNCT
aiti-11169	277	11	and	and	CCONJ
aiti-11169	277	12	a	a	DET
aiti-11169	277	13	warm	warm	ADJ
aiti-11169	277	14	-	-	PUNCT
aiti-11169	277	15	toned	toned	ADJ
aiti-11169	277	16	circle	circle	NOUN
aiti-11169	277	17	indicates	indicate	VERB
aiti-11169	277	18	a	a	DET
aiti-11169	277	19	negative	negative	ADJ
aiti-11169	277	20	correlation	correlation	NOUN
aiti-11169	277	21	,	,	PUNCT
aiti-11169	277	22	and	and	CCONJ
aiti-11169	277	23	the	the	PRON
aiti-11169	277	24	smaller	small	ADJ
aiti-11169	277	25	the	the	DET
aiti-11169	277	26	circle	circle	NOUN
aiti-11169	277	27	size	size	NOUN
aiti-11169	277	28	,	,	PUNCT
aiti-11169	277	29	the	the	PRON
aiti-11169	277	30	weaker	weak	ADJ
aiti-11169	277	31	the	the	DET
aiti-11169	277	32	correlation	correlation	NOUN
aiti-11169	277	33	.	.	PUNCT
aiti-11169	278	1	in	in	ADP
aiti-11169	278	2	addition	addition	NOUN
aiti-11169	278	3	,	,	PUNCT
aiti-11169	278	4	there	there	PRON
aiti-11169	278	5	was	be	VERB
aiti-11169	278	6	no	no	DET
aiti-11169	278	7	negative	negative	ADJ
aiti-11169	278	8	correlation	correlation	NOUN
aiti-11169	278	9	in	in	ADP
aiti-11169	278	10	this	this	DET
aiti-11169	278	11	result	result	NOUN
aiti-11169	278	12	,	,	PUNCT
aiti-11169	278	13	and	and	CCONJ
aiti-11169	278	14	all	all	DET
aiti-11169	278	15	results	result	NOUN
aiti-11169	278	16	were	be	AUX
aiti-11169	278	17	positive	positive	ADJ
aiti-11169	278	18	.	.	PUNCT
aiti-11169	279	1	surprisingly	surprisingly	ADV
aiti-11169	279	2	,	,	PUNCT
aiti-11169	279	3	the	the	DET
aiti-11169	279	4	two	two	NUM
aiti-11169	279	5	features	feature	NOUN
aiti-11169	279	6	based	base	VERB
aiti-11169	279	7	on	on	ADP
aiti-11169	279	8	the	the	DET
aiti-11169	279	9	prs	prs	NOUN
aiti-11169	279	10	algorithm	algorithm	NOUN
aiti-11169	279	11	had	have	VERB
aiti-11169	279	12	nearly	nearly	ADV
aiti-11169	279	13	zero	zero	NUM
aiti-11169	279	14	correlation	correlation	NOUN
aiti-11169	279	15	with	with	ADP
aiti-11169	279	16	the	the	DET
aiti-11169	279	17	other	other	ADJ
aiti-11169	279	18	features	feature	NOUN
aiti-11169	279	19	.	.	PUNCT
aiti-11169	280	1	by	by	ADP
aiti-11169	280	2	contrast	contrast	NOUN
aiti-11169	280	3	,	,	PUNCT
aiti-11169	280	4	the	the	DET
aiti-11169	280	5	time	time	NOUN
aiti-11169	280	6	and	and	CCONJ
aiti-11169	280	7	frequency	frequency	NOUN
aiti-11169	280	8	-	-	PUNCT
aiti-11169	280	9	domain	domain	NOUN
aiti-11169	280	10	features	feature	NOUN
aiti-11169	280	11	were	be	AUX
aiti-11169	280	12	more	more	ADV
aiti-11169	280	13	or	or	CCONJ
aiti-11169	280	14	less	less	ADV
aiti-11169	280	15	correlated	correlate	VERB
aiti-11169	280	16	.	.	PUNCT
aiti-11169	281	1	the	the	DET
aiti-11169	281	2	low	low	ADJ
aiti-11169	281	3	correlation	correlation	NOUN
aiti-11169	281	4	between	between	ADP
aiti-11169	281	5	the	the	DET
aiti-11169	281	6	prs	prs	NOUN
aiti-11169	281	7	features	feature	NOUN
aiti-11169	281	8	and	and	CCONJ
aiti-11169	281	9	other	other	ADJ
aiti-11169	281	10	features	feature	NOUN
aiti-11169	281	11	was	be	AUX
aiti-11169	281	12	because	because	SCONJ
aiti-11169	281	13	of	of	ADP
aiti-11169	281	14	the	the	DET
aiti-11169	281	15	different	different	ADJ
aiti-11169	281	16	feature	feature	NOUN
aiti-11169	281	17	extraction	extraction	NOUN
aiti-11169	281	18	methods	method	NOUN
aiti-11169	281	19	.	.	PUNCT
aiti-11169	282	1	the	the	DET
aiti-11169	282	2	development	development	NOUN
aiti-11169	282	3	of	of	ADP
aiti-11169	282	4	a	a	DET
aiti-11169	282	5	root	root	NOUN
aiti-11169	282	6	system	system	NOUN
aiti-11169	282	7	is	be	AUX
aiti-11169	282	8	a	a	DET
aiti-11169	282	9	product	product	NOUN
aiti-11169	282	10	of	of	ADP
aiti-11169	282	11	group	group	NOUN
aiti-11169	282	12	decision	decision	NOUN
aiti-11169	282	13	-	-	PUNCT
aiti-11169	282	14	making	making	NOUN
aiti-11169	282	15	,	,	PUNCT
aiti-11169	282	16	which	which	PRON
aiti-11169	282	17	reduces	reduce	VERB
aiti-11169	282	18	the	the	DET
aiti-11169	282	19	correlation	correlation	NOUN
aiti-11169	282	20	between	between	ADP
aiti-11169	282	21	the	the	DET
aiti-11169	282	22	root	root	NOUN
aiti-11169	282	23	matrix	matrix	NOUN
aiti-11169	282	24	and	and	CCONJ
aiti-11169	282	25	the	the	DET
aiti-11169	282	26	nutrient	nutrient	NOUN
aiti-11169	282	27	matrix	matrix	NOUN
aiti-11169	282	28	in	in	ADP
aiti-11169	282	29	a	a	DET
aiti-11169	282	30	tensor	tensor	NOUN
aiti-11169	282	31	.	.	PUNCT
aiti-11169	283	1	thus	thus	ADV
aiti-11169	283	2	,	,	PUNCT
aiti-11169	283	3	the	the	DET
aiti-11169	283	4	performance	performance	NOUN
aiti-11169	283	5	of	of	ADP
aiti-11169	283	6	the	the	DET
aiti-11169	283	7	classifier	classifier	NOUN
aiti-11169	283	8	improved	improve	VERB
aiti-11169	283	9	after	after	ADP
aiti-11169	283	10	the	the	DET
aiti-11169	283	11	addition	addition	NOUN
aiti-11169	283	12	of	of	ADP
aiti-11169	283	13	prs	prs	NOUN
aiti-11169	283	14	features	feature	NOUN
aiti-11169	283	15	.	.	PUNCT
aiti-11169	284	1	another	another	DET
aiti-11169	284	2	significant	significant	ADJ
aiti-11169	284	3	advantage	advantage	NOUN
aiti-11169	284	4	of	of	ADP
aiti-11169	284	5	the	the	DET
aiti-11169	284	6	prs	prs	NOUN
aiti-11169	284	7	algorithm	algorithm	NOUN
aiti-11169	284	8	is	be	AUX
aiti-11169	284	9	the	the	DET
aiti-11169	284	10	simplicity	simplicity	NOUN
aiti-11169	284	11	of	of	ADP
aiti-11169	284	12	interpretation	interpretation	NOUN
aiti-11169	284	13	.	.	PUNCT
aiti-11169	285	1	although	although	SCONJ
aiti-11169	285	2	the	the	DET
aiti-11169	285	3	full	full	ADJ
aiti-11169	285	4	procedure	procedure	NOUN
aiti-11169	285	5	of	of	ADP
aiti-11169	285	6	the	the	DET
aiti-11169	285	7	proposed	propose	VERB
aiti-11169	285	8	method	method	NOUN
aiti-11169	285	9	might	might	AUX
aiti-11169	285	10	appear	appear	VERB
aiti-11169	285	11	lengthy	lengthy	ADJ
aiti-11169	285	12	,	,	PUNCT
aiti-11169	285	13	the	the	DET
aiti-11169	285	14	algorithm	algorithm	NOUN
aiti-11169	285	15	is	be	AUX
aiti-11169	285	16	rather	rather	ADV
aiti-11169	285	17	lightweight	lightweight	ADJ
aiti-11169	285	18	.	.	PUNCT
aiti-11169	286	1	the	the	DET
aiti-11169	286	2	nutrient	nutrient	ADJ
aiti-11169	286	3	matrix	matrix	NOUN
aiti-11169	286	4	construction	construction	NOUN
aiti-11169	286	5	comprises	comprise	VERB
aiti-11169	286	6	twothirds	twothird	NOUN
aiti-11169	286	7	of	of	ADP
aiti-11169	286	8	the	the	DET
aiti-11169	286	9	work	work	NOUN
aiti-11169	286	10	,	,	PUNCT
aiti-11169	286	11	whereas	whereas	SCONJ
aiti-11169	286	12	the	the	DET
aiti-11169	286	13	construction	construction	NOUN
aiti-11169	286	14	of	of	ADP
aiti-11169	286	15	the	the	DET
aiti-11169	286	16	root	root	NOUN
aiti-11169	286	17	matrix	matrix	NOUN
aiti-11169	286	18	and	and	CCONJ
aiti-11169	286	19	the	the	DET
aiti-11169	286	20	extraction	extraction	NOUN
aiti-11169	286	21	of	of	ADP
aiti-11169	286	22	the	the	DET
aiti-11169	286	23	prs	prs	NOUN
aiti-11169	286	24	features	feature	NOUN
aiti-11169	286	25	constitute	constitute	VERB
aiti-11169	286	26	the	the	DET
aiti-11169	286	27	remaining	remain	VERB
aiti-11169	286	28	one	one	NUM
aiti-11169	286	29	-	-	PUNCT
aiti-11169	286	30	third	third	NOUN
aiti-11169	286	31	.	.	PUNCT
aiti-11169	287	1	if	if	SCONJ
aiti-11169	287	2	the	the	DET
aiti-11169	287	3	length	length	NOUN
aiti-11169	287	4	of	of	ADP
aiti-11169	287	5	the	the	DET
aiti-11169	287	6	biomedical	biomedical	ADJ
aiti-11169	287	7	signal	signal	NOUN
aiti-11169	287	8	does	do	AUX
aiti-11169	287	9	not	not	PART
aiti-11169	287	10	exceed	exceed	VERB
aiti-11169	287	11	100,000	100,000	NUM
aiti-11169	287	12	and	and	CCONJ
aiti-11169	287	13	the	the	DET
aiti-11169	287	14	sample	sample	NOUN
aiti-11169	287	15	size	size	NOUN
aiti-11169	287	16	is	be	AUX
aiti-11169	287	17	less	less	ADJ
aiti-11169	287	18	than	than	ADP
aiti-11169	287	19	200	200	NUM
aiti-11169	287	20	,	,	PUNCT
aiti-11169	287	21	the	the	DET
aiti-11169	287	22	training	training	NOUN
aiti-11169	287	23	process	process	NOUN
aiti-11169	287	24	can	can	AUX
aiti-11169	287	25	be	be	AUX
aiti-11169	287	26	completed	complete	VERB
aiti-11169	287	27	within	within	ADP
aiti-11169	287	28	5	5	NUM
aiti-11169	287	29	min	min	NOUN
aiti-11169	287	30	.	.	PUNCT
aiti-11169	288	1	the	the	DET
aiti-11169	288	2	proposed	propose	VERB
aiti-11169	288	3	prs	prs	NOUN
aiti-11169	288	4	algorithm	algorithm	NOUN
aiti-11169	288	5	performed	perform	VERB
aiti-11169	288	6	better	well	ADV
aiti-11169	288	7	than	than	SCONJ
aiti-11169	288	8	expected	expect	VERB
aiti-11169	288	9	.	.	PUNCT
aiti-11169	289	1	nevertheless	nevertheless	ADV
aiti-11169	289	2	,	,	PUNCT
aiti-11169	289	3	this	this	DET
aiti-11169	289	4	study	study	NOUN
aiti-11169	289	5	had	have	VERB
aiti-11169	289	6	certain	certain	ADJ
aiti-11169	289	7	limitations	limitation	NOUN
aiti-11169	289	8	.	.	PUNCT
aiti-11169	290	1	first	first	ADV
aiti-11169	290	2	,	,	PUNCT
aiti-11169	290	3	the	the	DET
aiti-11169	290	4	improvement	improvement	NOUN
aiti-11169	290	5	of	of	ADP
aiti-11169	290	6	the	the	DET
aiti-11169	290	7	accuracy	accuracy	NOUN
aiti-11169	290	8	rate	rate	NOUN
aiti-11169	290	9	was	be	AUX
aiti-11169	290	10	modest	modest	ADJ
aiti-11169	290	11	for	for	ADP
aiti-11169	290	12	each	each	DET
aiti-11169	290	13	classification	classification	NOUN
aiti-11169	290	14	model	model	NOUN
aiti-11169	290	15	.	.	PUNCT
aiti-11169	291	1	as	as	SCONJ
aiti-11169	291	2	shown	show	VERB
aiti-11169	291	3	in	in	ADP
aiti-11169	291	4	fig	fig	NOUN
aiti-11169	291	5	.	.	PUNCT
aiti-11169	292	1	7	7	NUM
aiti-11169	292	2	,	,	PUNCT
aiti-11169	292	3	a	a	DET
aiti-11169	292	4	mere	mere	ADJ
aiti-11169	292	5	1	1	NUM
aiti-11169	292	6	%	%	NOUN
aiti-11169	292	7	improvement	improvement	NOUN
aiti-11169	292	8	in	in	ADP
aiti-11169	292	9	accuracy	accuracy	NOUN
aiti-11169	292	10	is	be	AUX
aiti-11169	292	11	insufficient	insufficient	ADJ
aiti-11169	292	12	to	to	PART
aiti-11169	292	13	offset	offset	VERB
aiti-11169	292	14	the	the	DET
aiti-11169	292	15	error	error	NOUN
aiti-11169	292	16	bar	bar	NOUN
aiti-11169	292	17	.	.	PUNCT
aiti-11169	293	1	one	one	NUM
aiti-11169	293	2	possible	possible	ADJ
aiti-11169	293	3	explanation	explanation	NOUN
aiti-11169	293	4	for	for	ADP
aiti-11169	293	5	this	this	PRON
aiti-11169	293	6	might	might	AUX
aiti-11169	293	7	be	be	AUX
aiti-11169	293	8	the	the	DET
aiti-11169	293	9	small	small	ADJ
aiti-11169	293	10	sample	sample	NOUN
aiti-11169	293	11	size	size	NOUN
aiti-11169	293	12	,	,	PUNCT
aiti-11169	293	13	which	which	PRON
aiti-11169	293	14	resulted	result	VERB
aiti-11169	293	15	in	in	ADP
aiti-11169	293	16	inadequate	inadequate	ADJ
aiti-11169	293	17	model	model	NOUN
aiti-11169	293	18	training	training	NOUN
aiti-11169	293	19	[	[	X
aiti-11169	293	20	29	29	NUM
aiti-11169	293	21	]	]	PUNCT
aiti-11169	293	22	.	.	PUNCT
aiti-11169	294	1	second	second	ADJ
aiti-11169	294	2	,	,	PUNCT
aiti-11169	294	3	although	although	SCONJ
aiti-11169	294	4	the	the	DET
aiti-11169	294	5	overall	overall	ADJ
aiti-11169	294	6	accuracy	accuracy	NOUN
aiti-11169	294	7	using	use	VERB
aiti-11169	294	8	the	the	DET
aiti-11169	294	9	prs	prs	NOUN
aiti-11169	294	10	features	feature	NOUN
aiti-11169	294	11	tended	tend	VERB
aiti-11169	294	12	to	to	PART
aiti-11169	294	13	be	be	AUX
aiti-11169	294	14	higher	high	ADJ
aiti-11169	294	15	than	than	ADP
aiti-11169	294	16	that	that	PRON
aiti-11169	294	17	of	of	ADP
aiti-11169	294	18	the	the	DET
aiti-11169	294	19	base	base	NOUN
aiti-11169	294	20	and	and	CCONJ
aiti-11169	294	21	classical	classical	ADJ
aiti-11169	294	22	feature	feature	NOUN
aiti-11169	294	23	sets	set	NOUN
aiti-11169	294	24	for	for	ADP
aiti-11169	294	25	each	each	DET
aiti-11169	294	26	classifier	classifier	NOUN
aiti-11169	294	27	,	,	PUNCT
aiti-11169	294	28	some	some	DET
aiti-11169	294	29	exceptions	exception	NOUN
aiti-11169	294	30	still	still	ADV
aiti-11169	294	31	existed	exist	VERB
aiti-11169	294	32	.	.	PUNCT
aiti-11169	295	1	advances	advance	NOUN
aiti-11169	295	2	in	in	ADP
aiti-11169	295	3	technology	technology	NOUN
aiti-11169	295	4	innovation	innovation	NOUN
aiti-11169	295	5	,	,	PUNCT
aiti-11169	295	6	vol	vol	NOUN
aiti-11169	295	7	.	.	PROPN
aiti-11169	295	8	8	8	NUM
aiti-11169	295	9	,	,	PUNCT
aiti-11169	295	10	no	no	INTJ
aiti-11169	295	11	.	.	NOUN
aiti-11169	295	12	3	3	NUM
aiti-11169	295	13	,	,	PUNCT
aiti-11169	295	14	2023	2023	NUM
aiti-11169	295	15	,	,	PUNCT
aiti-11169	295	16	pp	pp	ADJ
aiti-11169	295	17	.	.	PUNCT
aiti-11169	296	1	163	163	NUM
aiti-11169	296	2	-	-	SYM
aiti-11169	296	3	176	176	NUM
aiti-11169	296	4	175	175	NUM
aiti-11169	296	5	these	these	DET
aiti-11169	296	6	phenomena	phenomenon	NOUN
aiti-11169	296	7	are	be	AUX
aiti-11169	296	8	likely	likely	ADV
aiti-11169	296	9	related	relate	VERB
aiti-11169	296	10	to	to	ADP
aiti-11169	296	11	the	the	DET
aiti-11169	296	12	possibility	possibility	NOUN
aiti-11169	296	13	that	that	SCONJ
aiti-11169	296	14	extracting	extract	VERB
aiti-11169	296	15	features	feature	NOUN
aiti-11169	296	16	based	base	VERB
aiti-11169	296	17	on	on	ADP
aiti-11169	296	18	the	the	DET
aiti-11169	296	19	prs	prs	NOUN
aiti-11169	296	20	algorithm	algorithm	NOUN
aiti-11169	296	21	does	do	AUX
aiti-11169	296	22	not	not	PART
aiti-11169	296	23	work	work	VERB
aiti-11169	296	24	well	well	ADV
aiti-11169	296	25	in	in	ADP
aiti-11169	296	26	the	the	DET
aiti-11169	296	27	presence	presence	NOUN
aiti-11169	296	28	of	of	ADP
aiti-11169	296	29	outliers	outlier	NOUN
aiti-11169	296	30	.	.	PUNCT
aiti-11169	297	1	root	root	NOUN
aiti-11169	297	2	growth	growth	NOUN
aiti-11169	297	3	is	be	AUX
aiti-11169	297	4	based	base	VERB
aiti-11169	297	5	on	on	ADP
aiti-11169	297	6	values	value	NOUN
aiti-11169	297	7	in	in	ADP
aiti-11169	297	8	the	the	DET
aiti-11169	297	9	soil	soil	NOUN
aiti-11169	297	10	matrix	matrix	NOUN
aiti-11169	297	11	,	,	PUNCT
aiti-11169	297	12	which	which	PRON
aiti-11169	297	13	are	be	AUX
aiti-11169	297	14	obtained	obtain	VERB
aiti-11169	297	15	by	by	ADP
aiti-11169	297	16	performing	perform	VERB
aiti-11169	297	17	statistical	statistical	ADJ
aiti-11169	297	18	calculations	calculation	NOUN
aiti-11169	297	19	on	on	ADP
aiti-11169	297	20	biomedical	biomedical	ADJ
aiti-11169	297	21	signals	signal	NOUN
aiti-11169	297	22	.	.	PUNCT
aiti-11169	298	1	errors	error	NOUN
aiti-11169	298	2	are	be	AUX
aiti-11169	298	3	passed	pass	VERB
aiti-11169	298	4	down	down	ADP
aiti-11169	298	5	,	,	PUNCT
aiti-11169	298	6	causing	cause	VERB
aiti-11169	298	7	a	a	DET
aiti-11169	298	8	reduction	reduction	NOUN
aiti-11169	298	9	in	in	ADP
aiti-11169	298	10	accuracy	accuracy	NOUN
aiti-11169	298	11	.	.	PUNCT
aiti-11169	299	1	this	this	PRON
aiti-11169	299	2	is	be	AUX
aiti-11169	299	3	the	the	DET
aiti-11169	299	4	reason	reason	NOUN
aiti-11169	299	5	for	for	ADP
aiti-11169	299	6	an	an	DET
aiti-11169	299	7	obtained	obtain	VERB
aiti-11169	299	8	lower	low	ADJ
aiti-11169	299	9	accuracy	accuracy	NOUN
aiti-11169	299	10	at	at	ADP
aiti-11169	299	11	high	high	ADJ
aiti-11169	299	12	training	training	NOUN
aiti-11169	299	13	rates	rate	NOUN
aiti-11169	299	14	.	.	PUNCT
aiti-11169	300	1	although	although	SCONJ
aiti-11169	300	2	the	the	DET
aiti-11169	300	3	prs	prs	NOUN
aiti-11169	300	4	was	be	AUX
aiti-11169	300	5	initially	initially	ADV
aiti-11169	300	6	successfully	successfully	ADV
aiti-11169	300	7	used	use	VERB
aiti-11169	300	8	for	for	ADP
aiti-11169	300	9	feature	feature	NOUN
aiti-11169	300	10	engineering	engineering	NOUN
aiti-11169	300	11	in	in	ADP
aiti-11169	300	12	the	the	DET
aiti-11169	300	13	field	field	NOUN
aiti-11169	300	14	of	of	ADP
aiti-11169	300	15	biomedical	biomedical	ADJ
aiti-11169	300	16	signals	signal	NOUN
aiti-11169	300	17	,	,	PUNCT
aiti-11169	300	18	it	it	PRON
aiti-11169	300	19	has	have	VERB
aiti-11169	300	20	some	some	DET
aiti-11169	300	21	limitations	limitation	NOUN
aiti-11169	300	22	,	,	PUNCT
aiti-11169	300	23	and	and	CCONJ
aiti-11169	300	24	further	further	ADJ
aiti-11169	300	25	research	research	NOUN
aiti-11169	300	26	is	be	AUX
aiti-11169	300	27	required	require	VERB
aiti-11169	300	28	.	.	PUNCT
aiti-11169	301	1	one	one	NUM
aiti-11169	301	2	limitation	limitation	NOUN
aiti-11169	301	3	is	be	AUX
aiti-11169	301	4	that	that	SCONJ
aiti-11169	301	5	this	this	DET
aiti-11169	301	6	study	study	NOUN
aiti-11169	301	7	only	only	ADV
aiti-11169	301	8	considered	consider	VERB
aiti-11169	301	9	a	a	DET
aiti-11169	301	10	simple	simple	ADJ
aiti-11169	301	11	classification	classification	NOUN
aiti-11169	301	12	problem	problem	NOUN
aiti-11169	301	13	and	and	CCONJ
aiti-11169	301	14	did	do	AUX
aiti-11169	301	15	not	not	PART
aiti-11169	301	16	consider	consider	VERB
aiti-11169	301	17	multivalued	multivalued	ADJ
aiti-11169	301	18	classification	classification	NOUN
aiti-11169	301	19	.	.	PUNCT
aiti-11169	302	1	moreover	moreover	ADV
aiti-11169	302	2	,	,	PUNCT
aiti-11169	302	3	the	the	DET
aiti-11169	302	4	effect	effect	NOUN
aiti-11169	302	5	of	of	ADP
aiti-11169	302	6	imbalanced	imbalanced	ADJ
aiti-11169	302	7	datasets	dataset	NOUN
aiti-11169	302	8	on	on	ADP
aiti-11169	302	9	learning	learning	NOUN
aiti-11169	302	10	was	be	AUX
aiti-11169	302	11	not	not	PART
aiti-11169	302	12	studied	study	VERB
aiti-11169	302	13	.	.	PUNCT
aiti-11169	303	1	more	more	ADJ
aiti-11169	303	2	experiments	experiment	NOUN
aiti-11169	303	3	are	be	AUX
aiti-11169	303	4	needed	need	VERB
aiti-11169	303	5	to	to	PART
aiti-11169	303	6	verify	verify	VERB
aiti-11169	303	7	the	the	DET
aiti-11169	303	8	diversity	diversity	NOUN
aiti-11169	303	9	of	of	ADP
aiti-11169	303	10	the	the	DET
aiti-11169	303	11	signal	signal	ADJ
aiti-11169	303	12	types	type	NOUN
aiti-11169	303	13	.	.	PUNCT
aiti-11169	304	1	in	in	ADP
aiti-11169	304	2	the	the	DET
aiti-11169	304	3	past	past	NOUN
aiti-11169	304	4	,	,	PUNCT
aiti-11169	304	5	swarm	swarm	NOUN
aiti-11169	304	6	intelligence	intelligence	NOUN
aiti-11169	304	7	and	and	CCONJ
aiti-11169	304	8	swarm	swarm	NOUN
aiti-11169	304	9	intelligence	intelligence	NOUN
aiti-11169	304	10	algorithms	algorithm	NOUN
aiti-11169	304	11	,	,	PUNCT
aiti-11169	304	12	such	such	ADJ
aiti-11169	304	13	as	as	ADP
aiti-11169	304	14	ant	ant	ADJ
aiti-11169	304	15	colony	colony	NOUN
aiti-11169	304	16	algorithms	algorithm	NOUN
aiti-11169	304	17	and	and	CCONJ
aiti-11169	304	18	bee	bee	NOUN
aiti-11169	304	19	colony	colony	NOUN
aiti-11169	304	20	algorithms	algorithm	NOUN
aiti-11169	304	21	,	,	PUNCT
aiti-11169	304	22	were	be	AUX
aiti-11169	304	23	mostly	mostly	ADV
aiti-11169	304	24	developed	develop	VERB
aiti-11169	304	25	based	base	VERB
aiti-11169	304	26	on	on	ADP
aiti-11169	304	27	the	the	DET
aiti-11169	304	28	behavior	behavior	NOUN
aiti-11169	304	29	of	of	ADP
aiti-11169	304	30	social	social	ADJ
aiti-11169	304	31	animals	animal	NOUN
aiti-11169	304	32	.	.	PUNCT
aiti-11169	305	1	currently	currently	ADV
aiti-11169	305	2	,	,	PUNCT
aiti-11169	305	3	intelligent	intelligent	ADJ
aiti-11169	305	4	algorithms	algorithm	NOUN
aiti-11169	305	5	have	have	AUX
aiti-11169	305	6	also	also	ADV
aiti-11169	305	7	been	be	AUX
aiti-11169	305	8	modeled	model	VERB
aiti-11169	305	9	on	on	ADP
aiti-11169	305	10	certain	certain	ADJ
aiti-11169	305	11	static	static	ADJ
aiti-11169	305	12	systems	system	NOUN
aiti-11169	305	13	,	,	PUNCT
aiti-11169	305	14	including	include	VERB
aiti-11169	305	15	rivers	river	NOUN
aiti-11169	305	16	and	and	CCONJ
aiti-11169	305	17	the	the	DET
aiti-11169	305	18	prs	prs	NOUN
aiti-11169	305	19	used	use	VERB
aiti-11169	305	20	in	in	ADP
aiti-11169	305	21	this	this	DET
aiti-11169	305	22	study	study	NOUN
aiti-11169	305	23	.	.	PUNCT
aiti-11169	306	1	this	this	DET
aiti-11169	306	2	study	study	NOUN
aiti-11169	306	3	contributes	contribute	VERB
aiti-11169	306	4	toward	toward	ADP
aiti-11169	306	5	renewed	renew	VERB
aiti-11169	306	6	interest	interest	NOUN
aiti-11169	306	7	in	in	ADP
aiti-11169	306	8	the	the	DET
aiti-11169	306	9	development	development	NOUN
aiti-11169	306	10	of	of	ADP
aiti-11169	306	11	such	such	ADJ
aiti-11169	306	12	algorithms	algorithm	NOUN
aiti-11169	306	13	.	.	PUNCT
aiti-11169	307	1	6	6	X
aiti-11169	307	2	.	.	X
aiti-11169	307	3	conclusions	conclusion	NOUN
aiti-11169	307	4	in	in	ADP
aiti-11169	307	5	conclusion	conclusion	NOUN
aiti-11169	307	6	,	,	PUNCT
aiti-11169	307	7	this	this	DET
aiti-11169	307	8	study	study	NOUN
aiti-11169	307	9	has	have	AUX
aiti-11169	307	10	made	make	VERB
aiti-11169	307	11	significant	significant	ADJ
aiti-11169	307	12	strides	stride	NOUN
aiti-11169	307	13	in	in	ADP
aiti-11169	307	14	the	the	DET
aiti-11169	307	15	field	field	NOUN
aiti-11169	307	16	of	of	ADP
aiti-11169	307	17	biomedical	biomedical	ADJ
aiti-11169	307	18	signal	signal	NOUN
aiti-11169	307	19	processing	processing	NOUN
aiti-11169	307	20	by	by	ADP
aiti-11169	307	21	introducing	introduce	VERB
aiti-11169	307	22	a	a	DET
aiti-11169	307	23	novel	novel	ADJ
aiti-11169	307	24	feature	feature	NOUN
aiti-11169	307	25	extraction	extraction	NOUN
aiti-11169	307	26	algorithm	algorithm	NOUN
aiti-11169	307	27	,	,	PUNCT
aiti-11169	307	28	the	the	DET
aiti-11169	307	29	prs	prs	NOUN
aiti-11169	307	30	algorithm	algorithm	NOUN
aiti-11169	307	31	.	.	PUNCT
aiti-11169	308	1	inspired	inspire	VERB
aiti-11169	308	2	by	by	ADP
aiti-11169	308	3	swarm	swarm	NOUN
aiti-11169	308	4	intelligence	intelligence	NOUN
aiti-11169	308	5	and	and	CCONJ
aiti-11169	308	6	the	the	DET
aiti-11169	308	7	natural	natural	ADJ
aiti-11169	308	8	growth	growth	NOUN
aiti-11169	308	9	of	of	ADP
aiti-11169	308	10	roots	root	NOUN
aiti-11169	308	11	,	,	PUNCT
aiti-11169	308	12	the	the	DET
aiti-11169	308	13	prs	prs	NOUN
aiti-11169	308	14	algorithm	algorithm	NOUN
aiti-11169	308	15	effectively	effectively	ADV
aiti-11169	308	16	explores	explore	VERB
aiti-11169	308	17	the	the	DET
aiti-11169	308	18	feature	feature	NOUN
aiti-11169	308	19	space	space	NOUN
aiti-11169	308	20	and	and	CCONJ
aiti-11169	308	21	identifies	identify	VERB
aiti-11169	308	22	the	the	DET
aiti-11169	308	23	most	most	ADV
aiti-11169	308	24	discriminative	discriminative	NOUN
aiti-11169	308	25	features	feature	NOUN
aiti-11169	308	26	for	for	ADP
aiti-11169	308	27	classification	classification	NOUN
aiti-11169	308	28	.	.	PUNCT
aiti-11169	309	1	notably	notably	ADV
aiti-11169	309	2	,	,	PUNCT
aiti-11169	309	3	the	the	DET
aiti-11169	309	4	prs	prs	NOUN
aiti-11169	309	5	algorithm	algorithm	NOUN
aiti-11169	309	6	exhibits	exhibit	VERB
aiti-11169	309	7	good	good	ADJ
aiti-11169	309	8	interpretability	interpretability	NOUN
aiti-11169	309	9	and	and	CCONJ
aiti-11169	309	10	low	low	ADJ
aiti-11169	309	11	correlation	correlation	NOUN
aiti-11169	309	12	with	with	ADP
aiti-11169	309	13	traditional	traditional	ADJ
aiti-11169	309	14	feature	feature	NOUN
aiti-11169	309	15	extraction	extraction	NOUN
aiti-11169	309	16	methods	method	NOUN
aiti-11169	309	17	,	,	PUNCT
aiti-11169	309	18	setting	set	VERB
aiti-11169	309	19	it	it	PRON
aiti-11169	309	20	apart	apart	ADV
aiti-11169	309	21	from	from	ADP
aiti-11169	309	22	existing	exist	VERB
aiti-11169	309	23	techniques	technique	NOUN
aiti-11169	309	24	.	.	PUNCT
aiti-11169	310	1	through	through	ADP
aiti-11169	310	2	a	a	DET
aiti-11169	310	3	series	series	NOUN
aiti-11169	310	4	of	of	ADP
aiti-11169	310	5	experiments	experiment	NOUN
aiti-11169	310	6	,	,	PUNCT
aiti-11169	310	7	our	our	PRON
aiti-11169	310	8	findings	finding	NOUN
aiti-11169	310	9	demonstrated	demonstrate	VERB
aiti-11169	310	10	a	a	DET
aiti-11169	310	11	substantial	substantial	ADJ
aiti-11169	310	12	improvement	improvement	NOUN
aiti-11169	310	13	in	in	ADP
aiti-11169	310	14	classification	classification	NOUN
aiti-11169	310	15	accuracy	accuracy	NOUN
aiti-11169	310	16	when	when	SCONJ
aiti-11169	310	17	utilizing	utilize	VERB
aiti-11169	310	18	the	the	DET
aiti-11169	310	19	prs	prs	NOUN
aiti-11169	310	20	algorithm	algorithm	NOUN
aiti-11169	310	21	,	,	PUNCT
aiti-11169	310	22	as	as	SCONJ
aiti-11169	310	23	compared	compare	VERB
aiti-11169	310	24	to	to	ADP
aiti-11169	310	25	conventional	conventional	ADJ
aiti-11169	310	26	methods	method	NOUN
aiti-11169	310	27	.	.	PUNCT
aiti-11169	311	1	these	these	DET
aiti-11169	311	2	results	result	NOUN
aiti-11169	311	3	underscore	underscore	VERB
aiti-11169	311	4	the	the	DET
aiti-11169	311	5	potential	potential	NOUN
aiti-11169	311	6	of	of	ADP
aiti-11169	311	7	the	the	DET
aiti-11169	311	8	prs	prs	NOUN
aiti-11169	311	9	algorithm	algorithm	NOUN
aiti-11169	311	10	in	in	ADP
aiti-11169	311	11	revolutionizing	revolutionize	VERB
aiti-11169	311	12	the	the	DET
aiti-11169	311	13	way	way	NOUN
aiti-11169	311	14	biomedical	biomedical	ADJ
aiti-11169	311	15	signals	signal	NOUN
aiti-11169	311	16	are	be	AUX
aiti-11169	311	17	processed	process	VERB
aiti-11169	311	18	and	and	CCONJ
aiti-11169	311	19	analyzed	analyze	VERB
aiti-11169	311	20	,	,	PUNCT
aiti-11169	311	21	ultimately	ultimately	ADV
aiti-11169	311	22	paving	pave	VERB
aiti-11169	311	23	the	the	DET
aiti-11169	311	24	way	way	NOUN
aiti-11169	311	25	for	for	ADP
aiti-11169	311	26	more	more	ADV
aiti-11169	311	27	effective	effective	ADJ
aiti-11169	311	28	clinical	clinical	ADJ
aiti-11169	311	29	applications	application	NOUN
aiti-11169	311	30	.	.	PUNCT
aiti-11169	312	1	this	this	DET
aiti-11169	312	2	study	study	NOUN
aiti-11169	312	3	serves	serve	VERB
aiti-11169	312	4	as	as	ADP
aiti-11169	312	5	a	a	DET
aiti-11169	312	6	strong	strong	ADJ
aiti-11169	312	7	foundation	foundation	NOUN
aiti-11169	312	8	for	for	ADP
aiti-11169	312	9	future	future	ADJ
aiti-11169	312	10	research	research	NOUN
aiti-11169	312	11	in	in	ADP
aiti-11169	312	12	extending	extend	VERB
aiti-11169	312	13	the	the	DET
aiti-11169	312	14	use	use	NOUN
aiti-11169	312	15	of	of	ADP
aiti-11169	312	16	biomedical	biomedical	ADJ
aiti-11169	312	17	signals	signal	NOUN
aiti-11169	312	18	for	for	ADP
aiti-11169	312	19	clinical	clinical	ADJ
aiti-11169	312	20	applications	application	NOUN
aiti-11169	312	21	.	.	PUNCT
aiti-11169	313	1	as	as	ADP
aiti-11169	313	2	part	part	NOUN
aiti-11169	313	3	of	of	ADP
aiti-11169	313	4	our	our	PRON
aiti-11169	313	5	ongoing	ongoing	ADJ
aiti-11169	313	6	investigation	investigation	NOUN
aiti-11169	313	7	,	,	PUNCT
aiti-11169	313	8	we	we	PRON
aiti-11169	313	9	plan	plan	VERB
aiti-11169	313	10	to	to	PART
aiti-11169	313	11	validate	validate	VERB
aiti-11169	313	12	the	the	DET
aiti-11169	313	13	prs	prs	NOUN
aiti-11169	313	14	algorithm	algorithm	NOUN
aiti-11169	313	15	with	with	ADP
aiti-11169	313	16	a	a	DET
aiti-11169	313	17	broader	broad	ADJ
aiti-11169	313	18	range	range	NOUN
aiti-11169	313	19	of	of	ADP
aiti-11169	313	20	biomedical	biomedical	ADJ
aiti-11169	313	21	signals	signal	NOUN
aiti-11169	313	22	,	,	PUNCT
aiti-11169	313	23	assess	assess	VERB
aiti-11169	313	24	its	its	PRON
aiti-11169	313	25	performance	performance	NOUN
aiti-11169	313	26	in	in	ADP
aiti-11169	313	27	diverse	diverse	ADJ
aiti-11169	313	28	scenarios	scenario	NOUN
aiti-11169	313	29	,	,	PUNCT
aiti-11169	313	30	and	and	CCONJ
aiti-11169	313	31	explore	explore	VERB
aiti-11169	313	32	its	its	PRON
aiti-11169	313	33	potential	potential	ADJ
aiti-11169	313	34	applicability	applicability	NOUN
aiti-11169	313	35	in	in	ADP
aiti-11169	313	36	2d	2d	NUM
aiti-11169	313	37	signal	signal	NOUN
aiti-11169	313	38	applications	application	NOUN
aiti-11169	313	39	.	.	PUNCT
aiti-11169	314	1	by	by	ADP
aiti-11169	314	2	building	build	VERB
aiti-11169	314	3	upon	upon	SCONJ
aiti-11169	314	4	the	the	DET
aiti-11169	314	5	successes	success	NOUN
aiti-11169	314	6	of	of	ADP
aiti-11169	314	7	the	the	DET
aiti-11169	314	8	prs	prs	NOUN
aiti-11169	314	9	algorithm	algorithm	NOUN
aiti-11169	314	10	,	,	PUNCT
aiti-11169	314	11	we	we	PRON
aiti-11169	314	12	aim	aim	VERB
aiti-11169	314	13	to	to	PART
aiti-11169	314	14	advance	advance	VERB
aiti-11169	314	15	the	the	DET
aiti-11169	314	16	field	field	NOUN
aiti-11169	314	17	of	of	ADP
aiti-11169	314	18	biomedical	biomedical	ADJ
aiti-11169	314	19	signal	signal	NOUN
aiti-11169	314	20	processing	processing	NOUN
aiti-11169	314	21	and	and	CCONJ
aiti-11169	314	22	contribute	contribute	VERB
aiti-11169	314	23	to	to	ADP
aiti-11169	314	24	more	more	ADV
aiti-11169	314	25	accurate	accurate	ADJ
aiti-11169	314	26	and	and	CCONJ
aiti-11169	314	27	efficient	efficient	ADJ
aiti-11169	314	28	diagnostic	diagnostic	ADJ
aiti-11169	314	29	tools	tool	NOUN
aiti-11169	314	30	in	in	ADP
aiti-11169	314	31	clinical	clinical	ADJ
aiti-11169	314	32	settings	setting	NOUN
aiti-11169	314	33	.	.	PUNCT
aiti-11169	315	1	conflicts	conflict	NOUN
aiti-11169	315	2	of	of	ADP
aiti-11169	315	3	interest	interest	NOUN
aiti-11169	315	4	the	the	DET
aiti-11169	315	5	authors	author	NOUN
aiti-11169	315	6	have	have	VERB
aiti-11169	315	7	no	no	DET
aiti-11169	315	8	conflict	conflict	NOUN
aiti-11169	315	9	of	of	ADP
aiti-11169	315	10	interest	interest	NOUN
aiti-11169	315	11	to	to	PART
aiti-11169	315	12	declare	declare	VERB
aiti-11169	315	13	.	.	PUNCT
aiti-11169	316	1	references	reference	NOUN
aiti-11169	316	2	[	[	X
aiti-11169	316	3	1	1	NUM
aiti-11169	316	4	]	]	PUNCT
aiti-11169	316	5	m.	m.	NOUN
aiti-11169	316	6	gertsch	gertsch	PROPN
aiti-11169	316	7	,	,	PUNCT
aiti-11169	316	8	the	the	DET
aiti-11169	316	9	ecg	ecg	PROPN
aiti-11169	316	10	:	:	PUNCT
aiti-11169	316	11	a	a	DET
aiti-11169	316	12	two	two	NUM
aiti-11169	316	13	-	-	PUNCT
aiti-11169	316	14	step	step	NOUN
aiti-11169	316	15	approach	approach	NOUN
aiti-11169	316	16	to	to	ADP
aiti-11169	316	17	diagnosis	diagnosis	NOUN
aiti-11169	316	18	,	,	PUNCT
aiti-11169	316	19	berlin	berlin	PROPN
aiti-11169	316	20	:	:	PUNCT
aiti-11169	316	21	springer	springer	NOUN
aiti-11169	316	22	,	,	PUNCT
aiti-11169	316	23	2003	2003	NUM
aiti-11169	316	24	.	.	PUNCT
aiti-11169	317	1	[	[	X
aiti-11169	317	2	2	2	NUM
aiti-11169	317	3	]	]	PUNCT
aiti-11169	317	4	c.	c.	PROPN
aiti-11169	317	5	j.	j.	PROPN
aiti-11169	317	6	stam	stam	PROPN
aiti-11169	317	7	,	,	PUNCT
aiti-11169	317	8	“	"	PUNCT
aiti-11169	317	9	use	use	NOUN
aiti-11169	317	10	of	of	ADP
aiti-11169	317	11	magnetoencephalography	magnetoencephalography	NOUN
aiti-11169	317	12	(	(	PUNCT
aiti-11169	317	13	meg	meg	NOUN
aiti-11169	317	14	)	)	PUNCT
aiti-11169	317	15	to	to	PART
aiti-11169	317	16	study	study	VERB
aiti-11169	317	17	functional	functional	ADJ
aiti-11169	317	18	brain	brain	NOUN
aiti-11169	317	19	networks	network	NOUN
aiti-11169	317	20	in	in	ADP
aiti-11169	317	21	neurodegenerative	neurodegenerative	ADJ
aiti-11169	317	22	disorders	disorder	NOUN
aiti-11169	317	23	,	,	PUNCT
aiti-11169	317	24	”	"	PUNCT
aiti-11169	317	25	journal	journal	NOUN
aiti-11169	317	26	of	of	ADP
aiti-11169	317	27	the	the	DET
aiti-11169	317	28	neurological	neurological	ADJ
aiti-11169	317	29	sciences	science	NOUN
aiti-11169	317	30	,	,	PUNCT
aiti-11169	317	31	vol	vol	NOUN
aiti-11169	317	32	.	.	PROPN
aiti-11169	318	1	289	289	NUM
aiti-11169	318	2	,	,	PUNCT
aiti-11169	318	3	no	no	INTJ
aiti-11169	318	4	.	.	NOUN
aiti-11169	318	5	1	1	NUM
aiti-11169	318	6	-	-	SYM
aiti-11169	318	7	2	2	NUM
aiti-11169	318	8	,	,	PUNCT
aiti-11169	318	9	pp	pp	ADJ
aiti-11169	318	10	.	.	PUNCT
aiti-11169	318	11	128	128	NUM
aiti-11169	318	12	-	-	SYM
aiti-11169	318	13	134	134	NUM
aiti-11169	318	14	,	,	PUNCT
aiti-11169	318	15	february	february	PROPN
aiti-11169	318	16	2010	2010	NUM
aiti-11169	318	17	.	.	PUNCT
aiti-11169	319	1	[	[	X
aiti-11169	319	2	3	3	X
aiti-11169	319	3	]	]	X
aiti-11169	319	4	r.	r.	PROPN
aiti-11169	319	5	gong	gong	PROPN
aiti-11169	319	6	,	,	PUNCT
aiti-11169	319	7	h.	h.	PROPN
aiti-11169	319	8	ohtsu	ohtsu	PROPN
aiti-11169	319	9	,	,	PUNCT
aiti-11169	319	10	k.	k.	PROPN
aiti-11169	319	11	hase	hase	PROPN
aiti-11169	319	12	,	,	PUNCT
aiti-11169	319	13	and	and	CCONJ
aiti-11169	319	14	s.	s.	PROPN
aiti-11169	319	15	ota	ota	PROPN
aiti-11169	319	16	,	,	PUNCT
aiti-11169	319	17	“	"	PUNCT
aiti-11169	319	18	vibroarthrographic	vibroarthrographic	ADJ
aiti-11169	319	19	signals	signal	NOUN
aiti-11169	319	20	for	for	ADP
aiti-11169	319	21	the	the	DET
aiti-11169	319	22	low	low	ADJ
aiti-11169	319	23	-	-	PUNCT
aiti-11169	319	24	cost	cost	NOUN
aiti-11169	319	25	and	and	CCONJ
aiti-11169	319	26	computationally	computationally	ADV
aiti-11169	319	27	efficient	efficient	ADJ
aiti-11169	319	28	classification	classification	NOUN
aiti-11169	319	29	of	of	ADP
aiti-11169	319	30	aging	age	VERB
aiti-11169	319	31	and	and	CCONJ
aiti-11169	319	32	healthy	healthy	ADJ
aiti-11169	319	33	knees	knee	NOUN
aiti-11169	319	34	,	,	PUNCT
aiti-11169	319	35	”	"	PUNCT
aiti-11169	319	36	biomedical	biomedical	ADJ
aiti-11169	319	37	signal	signal	NOUN
aiti-11169	319	38	processing	processing	NOUN
aiti-11169	319	39	and	and	CCONJ
aiti-11169	319	40	control	control	NOUN
aiti-11169	319	41	,	,	PUNCT
aiti-11169	319	42	vol	vol	NOUN
aiti-11169	319	43	.	.	PROPN
aiti-11169	319	44	70	70	NUM
aiti-11169	319	45	,	,	PUNCT
aiti-11169	319	46	article	article	NOUN
aiti-11169	319	47	no	no	NOUN
aiti-11169	319	48	.	.	PROPN
aiti-11169	319	49	103003	103003	NUM
aiti-11169	319	50	,	,	PUNCT
aiti-11169	319	51	september	september	PROPN
aiti-11169	319	52	2021	2021	NUM
aiti-11169	319	53	.	.	PUNCT
aiti-11169	320	1	[	[	X
aiti-11169	320	2	4	4	NUM
aiti-11169	320	3	]	]	PUNCT
aiti-11169	320	4	a.	a.	NOUN
aiti-11169	320	5	forestiero	forestiero	NOUN
aiti-11169	320	6	,	,	PUNCT
aiti-11169	320	7	“	"	PUNCT
aiti-11169	320	8	bio	bio	ADJ
aiti-11169	320	9	-	-	PUNCT
aiti-11169	320	10	inspired	inspired	ADJ
aiti-11169	320	11	algorithm	algorithm	NOUN
aiti-11169	320	12	for	for	ADP
aiti-11169	320	13	outliers	outlier	NOUN
aiti-11169	320	14	detection	detection	NOUN
aiti-11169	320	15	,	,	PUNCT
aiti-11169	320	16	”	"	PUNCT
aiti-11169	320	17	multimedia	multimedia	NOUN
aiti-11169	320	18	tools	tool	NOUN
aiti-11169	320	19	and	and	CCONJ
aiti-11169	320	20	applications	application	NOUN
aiti-11169	320	21	,	,	PUNCT
aiti-11169	320	22	vol	vol	NOUN
aiti-11169	320	23	.	.	PROPN
aiti-11169	321	1	76	76	NUM
aiti-11169	321	2	,	,	PUNCT
aiti-11169	321	3	no	no	INTJ
aiti-11169	321	4	.	.	NOUN
aiti-11169	321	5	24	24	NUM
aiti-11169	321	6	,	,	PUNCT
aiti-11169	321	7	pp	pp	ADJ
aiti-11169	321	8	.	.	PUNCT
aiti-11169	322	1	25659	25659	NUM
aiti-11169	322	2	-	-	SYM
aiti-11169	322	3	25677	25677	NUM
aiti-11169	322	4	,	,	PUNCT
aiti-11169	322	5	december	december	PROPN
aiti-11169	322	6	2017	2017	NUM
aiti-11169	322	7	.	.	PUNCT
aiti-11169	323	1	[	[	X
aiti-11169	323	2	5	5	X
aiti-11169	323	3	]	]	X
aiti-11169	323	4	l.	l.	PROPN
aiti-11169	323	5	abualigah	abualigah	PROPN
aiti-11169	323	6	,	,	PUNCT
aiti-11169	323	7	m.	m.	NOUN
aiti-11169	323	8	a.	a.	PROPN
aiti-11169	323	9	elaziz	elaziz	PROPN
aiti-11169	323	10	,	,	PUNCT
aiti-11169	323	11	n.	n.	PROPN
aiti-11169	323	12	khodadadi	khodadadi	PROPN
aiti-11169	323	13	,	,	PUNCT
aiti-11169	323	14	a.	a.	NOUN
aiti-11169	323	15	forestiero	forestiero	NOUN
aiti-11169	323	16	,	,	PUNCT
aiti-11169	323	17	h.	h.	PROPN
aiti-11169	323	18	jia	jia	PROPN
aiti-11169	323	19	,	,	PUNCT
aiti-11169	323	20	and	and	CCONJ
aiti-11169	323	21	a.	a.	PROPN
aiti-11169	323	22	h.	h.	PROPN
aiti-11169	323	23	gandomi	gandomi	PROPN
aiti-11169	323	24	,	,	PUNCT
aiti-11169	323	25	“	"	PUNCT
aiti-11169	323	26	aquila	aquila	ADJ
aiti-11169	323	27	optimizer	optimizer	NOUN
aiti-11169	323	28	based	base	VERB
aiti-11169	323	29	pso	pso	NOUN
aiti-11169	323	30	swarm	swarm	NOUN
aiti-11169	323	31	intelligence	intelligence	NOUN
aiti-11169	323	32	for	for	ADP
aiti-11169	323	33	iot	iot	PROPN
aiti-11169	323	34	task	task	PROPN
aiti-11169	323	35	scheduling	scheduling	NOUN
aiti-11169	323	36	application	application	NOUN
aiti-11169	323	37	in	in	ADP
aiti-11169	323	38	cloud	cloud	NOUN
aiti-11169	323	39	computing	computing	NOUN
aiti-11169	323	40	,	,	PUNCT
aiti-11169	323	41	”	"	PUNCT
aiti-11169	323	42	integrating	integrate	VERB
aiti-11169	323	43	meta	meta	ADJ
aiti-11169	323	44	-	-	PUNCT
aiti-11169	323	45	heuristics	heuristic	NOUN
aiti-11169	323	46	and	and	CCONJ
aiti-11169	323	47	machine	machine	NOUN
aiti-11169	323	48	learning	learning	NOUN
aiti-11169	323	49	for	for	ADP
aiti-11169	323	50	real	real	ADJ
aiti-11169	323	51	-	-	PUNCT
aiti-11169	323	52	world	world	NOUN
aiti-11169	323	53	optimization	optimization	NOUN
aiti-11169	323	54	problems	problem	NOUN
aiti-11169	323	55	,	,	PUNCT
aiti-11169	323	56	cham	cham	PROPN
aiti-11169	323	57	:	:	PUNCT
aiti-11169	323	58	springer	springer	NOUN
aiti-11169	323	59	international	international	ADJ
aiti-11169	323	60	publishing	publishing	NOUN
aiti-11169	323	61	,	,	PUNCT
aiti-11169	323	62	2022	2022	NUM
aiti-11169	323	63	.	.	PUNCT
aiti-11169	324	1	[	[	X
aiti-11169	324	2	6	6	NUM
aiti-11169	324	3	]	]	PUNCT
aiti-11169	324	4	c.	c.	PROPN
aiti-11169	324	5	liu	liu	PROPN
aiti-11169	324	6	and	and	CCONJ
aiti-11169	324	7	j.	j.	PROPN
aiti-11169	324	8	li	li	PROPN
aiti-11169	324	9	,	,	PUNCT
aiti-11169	324	10	feature	feature	NOUN
aiti-11169	324	11	engineering	engineering	NOUN
aiti-11169	324	12	and	and	CCONJ
aiti-11169	324	13	computational	computational	ADJ
aiti-11169	324	14	intelligence	intelligence	NOUN
aiti-11169	324	15	in	in	ADP
aiti-11169	324	16	ecg	ecg	PROPN
aiti-11169	324	17	monitoring	monitoring	PROPN
aiti-11169	324	18	,	,	PUNCT
aiti-11169	324	19	singapore	singapore	PROPN
aiti-11169	324	20	:	:	PUNCT
aiti-11169	324	21	springer	springer	NOUN
aiti-11169	324	22	,	,	PUNCT
aiti-11169	324	23	2020	2020	NUM
aiti-11169	324	24	.	.	PUNCT
aiti-11169	325	1	advances	advance	NOUN
aiti-11169	325	2	in	in	ADP
aiti-11169	325	3	technology	technology	NOUN
aiti-11169	325	4	innovation	innovation	NOUN
aiti-11169	325	5	,	,	PUNCT
aiti-11169	325	6	vol	vol	NOUN
aiti-11169	325	7	.	.	PROPN
aiti-11169	325	8	8	8	NUM
aiti-11169	325	9	,	,	PUNCT
aiti-11169	325	10	no	no	INTJ
aiti-11169	325	11	.	.	NOUN
aiti-11169	325	12	3	3	NUM
aiti-11169	325	13	,	,	PUNCT
aiti-11169	325	14	2023	2023	NUM
aiti-11169	325	15	,	,	PUNCT
aiti-11169	325	16	pp	pp	ADJ
aiti-11169	325	17	.	.	PUNCT
aiti-11169	326	1	163	163	NUM
aiti-11169	326	2	-	-	SYM
aiti-11169	326	3	176	176	NUM
aiti-11169	326	4	176	176	NUM
aiti-11169	326	5	[	[	X
aiti-11169	326	6	7	7	NUM
aiti-11169	326	7	]	]	X
aiti-11169	326	8	c.	c.	PROPN
aiti-11169	326	9	j.	j.	PROPN
aiti-11169	326	10	gallego	gallego	PROPN
aiti-11169	326	11	duque	duque	PROPN
aiti-11169	326	12	,	,	PUNCT
aiti-11169	326	13	l.	l.	PROPN
aiti-11169	326	14	d.	d.	PROPN
aiti-11169	326	15	muñoz	muñoz	PROPN
aiti-11169	326	16	,	,	PUNCT
aiti-11169	326	17	j.	j.	PROPN
aiti-11169	326	18	g.	g.	PROPN
aiti-11169	326	19	mejía	mejía	PROPN
aiti-11169	326	20	,	,	PUNCT
aiti-11169	326	21	and	and	CCONJ
aiti-11169	326	22	e.	e.	PROPN
aiti-11169	326	23	delgado	delgado	PROPN
aiti-11169	326	24	trejos	trejos	NOUN
aiti-11169	326	25	,	,	PUNCT
aiti-11169	326	26	“	"	PUNCT
aiti-11169	326	27	discrete	discrete	ADJ
aiti-11169	326	28	wavelet	wavelet	NOUN
aiti-11169	326	29	transform	transform	NOUN
aiti-11169	326	30	and	and	CCONJ
aiti-11169	326	31	k	k	NOUN
aiti-11169	326	32	-	-	PUNCT
aiti-11169	326	33	nn	nn	ADJ
aiti-11169	326	34	classification	classification	NOUN
aiti-11169	326	35	in	in	ADP
aiti-11169	326	36	emg	emg	NOUN
aiti-11169	326	37	signals	signal	NOUN
aiti-11169	326	38	for	for	ADP
aiti-11169	326	39	diagnosis	diagnosis	NOUN
aiti-11169	326	40	of	of	ADP
aiti-11169	326	41	neuromuscular	neuromuscular	ADJ
aiti-11169	326	42	disorders	disorder	NOUN
aiti-11169	326	43	,	,	PUNCT
aiti-11169	326	44	”	"	PUNCT
aiti-11169	326	45	xix	xix	NOUN
aiti-11169	326	46	symposium	symposium	NOUN
aiti-11169	326	47	on	on	ADP
aiti-11169	326	48	image	image	NOUN
aiti-11169	326	49	,	,	PUNCT
aiti-11169	326	50	signal	signal	NOUN
aiti-11169	326	51	processing	processing	NOUN
aiti-11169	326	52	and	and	CCONJ
aiti-11169	326	53	artificial	artificial	ADJ
aiti-11169	326	54	vision	vision	NOUN
aiti-11169	326	55	,	,	PUNCT
aiti-11169	326	56	pp	pp	ADJ
aiti-11169	326	57	.	.	PUNCT
aiti-11169	327	1	1	1	NUM
aiti-11169	327	2	-	-	SYM
aiti-11169	327	3	5	5	NUM
aiti-11169	327	4	,	,	PUNCT
aiti-11169	327	5	september	september	PROPN
aiti-11169	327	6	2014	2014	NUM
aiti-11169	327	7	.	.	PUNCT
aiti-11169	328	1	[	[	X
aiti-11169	328	2	8	8	NUM
aiti-11169	328	3	]	]	X
aiti-11169	328	4	e.	e.	PROPN
aiti-11169	328	5	keogh	keogh	PROPN
aiti-11169	328	6	,	,	PUNCT
aiti-11169	328	7	“	"	PUNCT
aiti-11169	328	8	naive	naive	ADJ
aiti-11169	328	9	bayes	bayes	NOUN
aiti-11169	328	10	classifier	classifier	NOUN
aiti-11169	328	11	,	,	PUNCT
aiti-11169	328	12	”	"	PUNCT
aiti-11169	328	13	http://www.cs.ucr.edu/~eamonn/ce/bayesian%20classification%20withinsect_examples.pdf	http://www.cs.ucr.edu/~eamonn/ce/bayesian%20classification%20withinsect_examples.pdf	ADV
aiti-11169	328	14	,	,	PUNCT
aiti-11169	328	15	november	november	PROPN
aiti-11169	328	16	05	05	NUM
aiti-11169	328	17	,	,	PUNCT
aiti-11169	328	18	2006	2006	NUM
aiti-11169	328	19	.	.	PUNCT
aiti-11169	329	1	[	[	X
aiti-11169	329	2	9	9	NUM
aiti-11169	329	3	]	]	PUNCT
aiti-11169	329	4	a.	a.	NOUN
aiti-11169	329	5	forestiero	forestiero	NOUN
aiti-11169	329	6	,	,	PUNCT
aiti-11169	329	7	“	"	PUNCT
aiti-11169	329	8	heuristic	heuristic	ADJ
aiti-11169	329	9	recommendation	recommendation	NOUN
aiti-11169	329	10	technique	technique	NOUN
aiti-11169	329	11	in	in	ADP
aiti-11169	329	12	internet	internet	NOUN
aiti-11169	329	13	of	of	ADP
aiti-11169	329	14	things	thing	NOUN
aiti-11169	329	15	featuring	feature	VERB
aiti-11169	329	16	swarm	swarm	NOUN
aiti-11169	329	17	intelligence	intelligence	NOUN
aiti-11169	329	18	approach	approach	NOUN
aiti-11169	329	19	,	,	PUNCT
aiti-11169	329	20	”	"	PUNCT
aiti-11169	329	21	expert	expert	NOUN
aiti-11169	329	22	systems	system	NOUN
aiti-11169	329	23	with	with	ADP
aiti-11169	329	24	applications	application	NOUN
aiti-11169	329	25	,	,	PUNCT
aiti-11169	329	26	vol	vol	NOUN
aiti-11169	329	27	.	.	PROPN
aiti-11169	329	28	187	187	NUM
aiti-11169	329	29	,	,	PUNCT
aiti-11169	329	30	article	article	NOUN
aiti-11169	329	31	no	no	NOUN
aiti-11169	329	32	.	.	PROPN
aiti-11169	329	33	115904	115904	NUM
aiti-11169	329	34	,	,	PUNCT
aiti-11169	329	35	january	january	PROPN
aiti-11169	329	36	2022	2022	NUM
aiti-11169	329	37	.	.	PUNCT
aiti-11169	330	1	[	[	X
aiti-11169	330	2	10	10	NUM
aiti-11169	330	3	]	]	PUNCT
aiti-11169	330	4	x.	x.	PROPN
aiti-11169	330	5	f.	f.	PROPN
aiti-11169	330	6	song	song	PROPN
aiti-11169	330	7	,	,	PUNCT
aiti-11169	330	8	y.	y.	PROPN
aiti-11169	330	9	zhang	zhang	PROPN
aiti-11169	330	10	,	,	PUNCT
aiti-11169	330	11	y.	y.	PROPN
aiti-11169	330	12	n.	n.	PROPN
aiti-11169	330	13	guo	guo	PROPN
aiti-11169	330	14	,	,	PUNCT
aiti-11169	330	15	x.	x.	PROPN
aiti-11169	330	16	y.	y.	PROPN
aiti-11169	330	17	sun	sun	PROPN
aiti-11169	330	18	,	,	PUNCT
aiti-11169	330	19	and	and	CCONJ
aiti-11169	330	20	y.	y.	PROPN
aiti-11169	330	21	l.	l.	PROPN
aiti-11169	330	22	wang	wang	PROPN
aiti-11169	330	23	,	,	PUNCT
aiti-11169	330	24	“	"	PUNCT
aiti-11169	330	25	variable	variable	ADJ
aiti-11169	330	26	-	-	PUNCT
aiti-11169	330	27	size	size	NOUN
aiti-11169	330	28	cooperative	cooperative	ADJ
aiti-11169	330	29	coevolutionary	coevolutionary	NOUN
aiti-11169	330	30	particle	particle	NOUN
aiti-11169	330	31	swarm	swarm	NOUN
aiti-11169	330	32	optimization	optimization	NOUN
aiti-11169	330	33	for	for	ADP
aiti-11169	330	34	feature	feature	NOUN
aiti-11169	330	35	selection	selection	NOUN
aiti-11169	330	36	on	on	ADP
aiti-11169	330	37	high	high	ADJ
aiti-11169	330	38	-	-	PUNCT
aiti-11169	330	39	dimensional	dimensional	ADJ
aiti-11169	330	40	data	datum	NOUN
aiti-11169	330	41	,	,	PUNCT
aiti-11169	330	42	”	"	PUNCT
aiti-11169	330	43	ieee	ieee	NOUN
aiti-11169	330	44	transactions	transaction	NOUN
aiti-11169	330	45	on	on	ADP
aiti-11169	330	46	evolutionary	evolutionary	ADJ
aiti-11169	330	47	computation	computation	NOUN
aiti-11169	330	48	,	,	PUNCT
aiti-11169	330	49	vol	vol	NOUN
aiti-11169	330	50	.	.	PROPN
aiti-11169	330	51	24	24	NUM
aiti-11169	330	52	,	,	PUNCT
aiti-11169	330	53	no	no	INTJ
aiti-11169	330	54	.	.	NOUN
aiti-11169	330	55	5	5	NUM
aiti-11169	330	56	,	,	PUNCT
aiti-11169	330	57	pp	pp	ADJ
aiti-11169	330	58	.	.	PUNCT
aiti-11169	330	59	882	882	NUM
aiti-11169	330	60	-	-	SYM
aiti-11169	330	61	895	895	NUM
aiti-11169	330	62	,	,	PUNCT
aiti-11169	330	63	october	october	PROPN
aiti-11169	330	64	2020	2020	NUM
aiti-11169	330	65	.	.	PUNCT
aiti-11169	331	1	[	[	X
aiti-11169	331	2	11	11	NUM
aiti-11169	331	3	]	]	PUNCT
aiti-11169	331	4	f.	f.	PROPN
aiti-11169	331	5	hölker	hölker	PROPN
aiti-11169	331	6	,	,	PUNCT
aiti-11169	331	7	c.	c.	PROPN
aiti-11169	331	8	wolter	wolter	PROPN
aiti-11169	331	9	,	,	PUNCT
aiti-11169	331	10	e.	e.	PROPN
aiti-11169	331	11	k.	k.	PROPN
aiti-11169	331	12	perkin	perkin	PROPN
aiti-11169	331	13	,	,	PUNCT
aiti-11169	331	14	and	and	CCONJ
aiti-11169	331	15	k.	k.	PROPN
aiti-11169	331	16	tockner	tockner	PROPN
aiti-11169	331	17	,	,	PUNCT
aiti-11169	331	18	“	"	PUNCT
aiti-11169	331	19	light	light	ADJ
aiti-11169	331	20	pollution	pollution	NOUN
aiti-11169	331	21	as	as	ADP
aiti-11169	331	22	a	a	DET
aiti-11169	331	23	biodiversity	biodiversity	NOUN
aiti-11169	331	24	threat	threat	NOUN
aiti-11169	331	25	,	,	PUNCT
aiti-11169	331	26	”	"	PUNCT
aiti-11169	331	27	trends	trend	NOUN
aiti-11169	331	28	in	in	ADP
aiti-11169	331	29	ecology	ecology	NOUN
aiti-11169	331	30	&	&	CCONJ
aiti-11169	331	31	evolution	evolution	NOUN
aiti-11169	331	32	,	,	PUNCT
aiti-11169	331	33	vol	vol	NOUN
aiti-11169	331	34	.	.	PROPN
aiti-11169	331	35	25	25	NUM
aiti-11169	331	36	,	,	PUNCT
aiti-11169	331	37	no	no	INTJ
aiti-11169	331	38	.	.	NOUN
aiti-11169	331	39	12	12	NUM
aiti-11169	331	40	,	,	PUNCT
aiti-11169	331	41	pp	pp	ADJ
aiti-11169	331	42	.	.	PUNCT
aiti-11169	332	1	681	681	NUM
aiti-11169	332	2	-	-	SYM
aiti-11169	332	3	682	682	NUM
aiti-11169	332	4	,	,	PUNCT
aiti-11169	332	5	december	december	PROPN
aiti-11169	332	6	2010	2010	NUM
aiti-11169	332	7	.	.	PUNCT
aiti-11169	333	1	[	[	X
aiti-11169	333	2	12	12	NUM
aiti-11169	333	3	]	]	PUNCT
aiti-11169	333	4	q.	q.	PROPN
aiti-11169	333	5	jiang	jiang	PROPN
aiti-11169	333	6	,	,	PUNCT
aiti-11169	333	7	y.	y.	PROPN
aiti-11169	333	8	shen	shen	PROPN
aiti-11169	333	9	,	,	PUNCT
aiti-11169	333	10	h.	h.	PROPN
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aiti-11169	333	12	,	,	PUNCT
aiti-11169	333	13	and	and	CCONJ
aiti-11169	333	14	f.	f.	PROPN
aiti-11169	333	15	xu	xu	PROPN
aiti-11169	333	16	,	,	PUNCT
aiti-11169	333	17	“	"	PUNCT
aiti-11169	333	18	new	new	ADJ
aiti-11169	333	19	fault	fault	NOUN
aiti-11169	333	20	recognition	recognition	NOUN
aiti-11169	333	21	method	method	NOUN
aiti-11169	333	22	for	for	ADP
aiti-11169	333	23	rotary	rotary	ADJ
aiti-11169	333	24	machinery	machinery	NOUN
aiti-11169	333	25	based	base	VERB
aiti-11169	333	26	on	on	ADP
aiti-11169	333	27	information	information	NOUN
aiti-11169	333	28	entropy	entropy	NOUN
aiti-11169	333	29	and	and	CCONJ
aiti-11169	333	30	a	a	DET
aiti-11169	333	31	probabilistic	probabilistic	ADJ
aiti-11169	333	32	neural	neural	ADJ
aiti-11169	333	33	network	network	NOUN
aiti-11169	333	34	,	,	PUNCT
aiti-11169	333	35	”	"	PUNCT
aiti-11169	333	36	sensors	sensor	NOUN
aiti-11169	333	37	,	,	PUNCT
aiti-11169	333	38	vol	vol	NOUN
aiti-11169	333	39	.	.	PROPN
aiti-11169	333	40	18	18	NUM
aiti-11169	333	41	,	,	PUNCT
aiti-11169	333	42	no	no	INTJ
aiti-11169	333	43	.	.	NOUN
aiti-11169	333	44	2	2	NUM
aiti-11169	333	45	,	,	PUNCT
aiti-11169	333	46	article	article	NOUN
aiti-11169	333	47	no	no	NOUN
aiti-11169	333	48	.	.	PROPN
aiti-11169	333	49	337	337	NUM
aiti-11169	333	50	,	,	PUNCT
aiti-11169	333	51	february	february	PROPN
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aiti-11169	333	53	.	.	PUNCT
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aiti-11169	334	2	13	13	NUM
aiti-11169	334	3	]	]	PUNCT
aiti-11169	334	4	d.	d.	PROPN
aiti-11169	334	5	a.	a.	PROPN
aiti-11169	334	6	lyon	lyon	PROPN
aiti-11169	334	7	,	,	PUNCT
aiti-11169	334	8	“	"	PUNCT
aiti-11169	334	9	the	the	DET
aiti-11169	334	10	discrete	discrete	ADJ
aiti-11169	334	11	fourier	fourier	NOUN
aiti-11169	334	12	transform	transform	NOUN
aiti-11169	334	13	,	,	PUNCT
aiti-11169	334	14	part	part	NOUN
aiti-11169	334	15	4	4	NUM
aiti-11169	334	16	:	:	PUNCT
aiti-11169	334	17	spectral	spectral	ADJ
aiti-11169	334	18	leakage	leakage	NOUN
aiti-11169	334	19	,	,	PUNCT
aiti-11169	334	20	”	"	PUNCT
aiti-11169	334	21	journal	journal	NOUN
aiti-11169	334	22	of	of	ADP
aiti-11169	334	23	object	object	NOUN
aiti-11169	334	24	technology	technology	NOUN
aiti-11169	334	25	,	,	PUNCT
aiti-11169	334	26	vol	vol	NOUN
aiti-11169	334	27	.	.	PROPN
aiti-11169	334	28	8	8	NUM
aiti-11169	334	29	,	,	PUNCT
aiti-11169	334	30	no	no	INTJ
aiti-11169	334	31	.	.	NOUN
aiti-11169	334	32	7	7	NUM
aiti-11169	334	33	,	,	PUNCT
aiti-11169	334	34	pp	pp	ADJ
aiti-11169	334	35	.	.	PUNCT
aiti-11169	335	1	23	23	NUM
aiti-11169	335	2	-	-	SYM
aiti-11169	335	3	34	34	NUM
aiti-11169	335	4	,	,	PUNCT
aiti-11169	335	5	november	november	PROPN
aiti-11169	335	6	2009	2009	NUM
aiti-11169	335	7	.	.	PUNCT
aiti-11169	336	1	[	[	X
aiti-11169	336	2	14	14	NUM
aiti-11169	336	3	]	]	PUNCT
aiti-11169	336	4	t.	t.	PROPN
aiti-11169	336	5	w.	w.	PROPN
aiti-11169	336	6	rauber	rauber	PROPN
aiti-11169	336	7	,	,	PUNCT
aiti-11169	336	8	f.	f.	PROPN
aiti-11169	336	9	de	de	PROPN
aiti-11169	336	10	assis	assis	PROPN
aiti-11169	336	11	boldt	boldt	PROPN
aiti-11169	336	12	,	,	PUNCT
aiti-11169	336	13	and	and	CCONJ
aiti-11169	336	14	f.	f.	PROPN
aiti-11169	336	15	m.	m.	PROPN
aiti-11169	336	16	varejão	varejão	PROPN
aiti-11169	336	17	,	,	PUNCT
aiti-11169	336	18	“	"	PUNCT
aiti-11169	336	19	heterogeneous	heterogeneous	ADJ
aiti-11169	336	20	feature	feature	NOUN
aiti-11169	336	21	models	model	NOUN
aiti-11169	336	22	and	and	CCONJ
aiti-11169	336	23	feature	feature	NOUN
aiti-11169	336	24	selection	selection	NOUN
aiti-11169	336	25	applied	apply	VERB
aiti-11169	336	26	to	to	ADP
aiti-11169	336	27	bearing	bear	VERB
aiti-11169	336	28	fault	fault	NOUN
aiti-11169	336	29	diagnosis	diagnosis	NOUN
aiti-11169	336	30	,	,	PUNCT
aiti-11169	336	31	”	"	PUNCT
aiti-11169	336	32	ieee	ieee	NOUN
aiti-11169	336	33	transactions	transaction	NOUN
aiti-11169	336	34	on	on	ADP
aiti-11169	336	35	industrial	industrial	ADJ
aiti-11169	336	36	electronics	electronic	NOUN
aiti-11169	336	37	,	,	PUNCT
aiti-11169	336	38	vol	vol	NOUN
aiti-11169	336	39	.	.	PROPN
aiti-11169	336	40	62	62	NUM
aiti-11169	336	41	,	,	PUNCT
aiti-11169	336	42	no	no	INTJ
aiti-11169	336	43	.	.	NOUN
aiti-11169	336	44	1	1	NUM
aiti-11169	336	45	,	,	PUNCT
aiti-11169	336	46	pp	pp	ADJ
aiti-11169	336	47	.	.	PUNCT
aiti-11169	337	1	637	637	NUM
aiti-11169	337	2	-	-	SYM
aiti-11169	337	3	646	646	NUM
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aiti-11169	337	7	.	.	PUNCT
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aiti-11169	338	2	15	15	NUM
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aiti-11169	338	8	p.	p.	PROPN
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aiti-11169	338	10	,	,	PUNCT
aiti-11169	338	11	“	"	PUNCT
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aiti-11169	338	13	of	of	ADP
aiti-11169	338	14	statistical	statistical	ADJ
aiti-11169	338	15	time	time	NOUN
aiti-11169	338	16	-	-	PUNCT
aiti-11169	338	17	domain	domain	NOUN
aiti-11169	338	18	features	feature	NOUN
aiti-11169	338	19	effectiveness	effectiveness	NOUN
aiti-11169	338	20	in	in	ADP
aiti-11169	338	21	identification	identification	NOUN
aiti-11169	338	22	of	of	ADP
aiti-11169	338	23	bearing	bear	VERB
aiti-11169	338	24	faults	fault	NOUN
aiti-11169	338	25	from	from	ADP
aiti-11169	338	26	vibration	vibration	NOUN
aiti-11169	338	27	signal	signal	NOUN
aiti-11169	338	28	,	,	PUNCT
aiti-11169	338	29	”	"	PUNCT
aiti-11169	338	30	ieee	ieee	NOUN
aiti-11169	338	31	sensors	sensor	NOUN
aiti-11169	338	32	journal	journal	PROPN
aiti-11169	338	33	,	,	PUNCT
aiti-11169	338	34	vol	vol	NOUN
aiti-11169	338	35	.	.	PROPN
aiti-11169	338	36	17	17	NUM
aiti-11169	338	37	,	,	PUNCT
aiti-11169	338	38	no	no	INTJ
aiti-11169	338	39	.	.	NOUN
aiti-11169	338	40	17	17	NUM
aiti-11169	338	41	,	,	PUNCT
aiti-11169	338	42	pp	pp	ADJ
aiti-11169	338	43	.	.	PUNCT
aiti-11169	339	1	5618	5618	NUM
aiti-11169	339	2	-	-	SYM
aiti-11169	339	3	5625	5625	NUM
aiti-11169	339	4	,	,	PUNCT
aiti-11169	339	5	september	september	PROPN
aiti-11169	339	6	2017	2017	NUM
aiti-11169	339	7	.	.	PUNCT
aiti-11169	340	1	[	[	X
aiti-11169	340	2	16	16	NUM
aiti-11169	340	3	]	]	PUNCT
aiti-11169	340	4	a.	a.	NOUN
aiti-11169	340	5	phinyomark	phinyomark	PROPN
aiti-11169	340	6	,	,	PUNCT
aiti-11169	340	7	p.	p.	NOUN
aiti-11169	340	8	phukpattaranont	phukpattaranont	NOUN
aiti-11169	340	9	,	,	PUNCT
aiti-11169	340	10	and	and	CCONJ
aiti-11169	340	11	c.	c.	PROPN
aiti-11169	340	12	limsakul	limsakul	PROPN
aiti-11169	340	13	,	,	PUNCT
aiti-11169	340	14	“	"	PUNCT
aiti-11169	340	15	investigating	investigate	VERB
aiti-11169	340	16	long	long	ADJ
aiti-11169	340	17	-	-	PUNCT
aiti-11169	340	18	term	term	NOUN
aiti-11169	340	19	effects	effect	NOUN
aiti-11169	340	20	of	of	ADP
aiti-11169	340	21	feature	feature	NOUN
aiti-11169	340	22	extraction	extraction	NOUN
aiti-11169	340	23	methods	method	NOUN
aiti-11169	340	24	for	for	ADP
aiti-11169	340	25	continuous	continuous	ADJ
aiti-11169	340	26	emg	emg	NOUN
aiti-11169	340	27	pattern	pattern	NOUN
aiti-11169	340	28	classification	classification	NOUN
aiti-11169	340	29	,	,	PUNCT
aiti-11169	340	30	”	"	PUNCT
aiti-11169	340	31	fluctuation	fluctuation	NOUN
aiti-11169	340	32	and	and	CCONJ
aiti-11169	340	33	noise	noise	NOUN
aiti-11169	340	34	letters	letter	NOUN
aiti-11169	340	35	,	,	PUNCT
aiti-11169	340	36	vol	vol	NOUN
aiti-11169	340	37	.	.	PROPN
aiti-11169	340	38	11	11	NUM
aiti-11169	340	39	,	,	PUNCT
aiti-11169	340	40	no	no	INTJ
aiti-11169	340	41	.	.	NOUN
aiti-11169	340	42	04	04	NUM
aiti-11169	340	43	,	,	PUNCT
aiti-11169	340	44	article	article	NOUN
aiti-11169	340	45	no	no	NOUN
aiti-11169	340	46	.	.	PROPN
aiti-11169	340	47	1250028	1250028	NUM
aiti-11169	340	48	,	,	PUNCT
aiti-11169	340	49	december	december	PROPN
aiti-11169	340	50	2012	2012	NUM
aiti-11169	340	51	.	.	PUNCT
aiti-11169	341	1	[	[	X
aiti-11169	341	2	17	17	NUM
aiti-11169	341	3	]	]	PUNCT
aiti-11169	341	4	s.	s.	PROPN
aiti-11169	341	5	g.	g.	PROPN
aiti-11169	341	6	k.	k.	PROPN
aiti-11169	341	7	patro	patro	PROPN
aiti-11169	341	8	and	and	CCONJ
aiti-11169	341	9	k.	k.	PROPN
aiti-11169	341	10	k.	k.	PROPN
aiti-11169	341	11	sahu	sahu	PROPN
aiti-11169	341	12	,	,	PUNCT
aiti-11169	341	13	“	"	PUNCT
aiti-11169	341	14	normalization	normalization	NOUN
aiti-11169	341	15	:	:	PUNCT
aiti-11169	341	16	a	a	DET
aiti-11169	341	17	preprocessing	preprocessing	NOUN
aiti-11169	341	18	stage	stage	NOUN
aiti-11169	341	19	,	,	PUNCT
aiti-11169	341	20	”	"	PUNCT
aiti-11169	341	21	https://doi.org/10.48550/arxiv.1503.06462	https://doi.org/10.48550/arxiv.1503.06462	PROPN
aiti-11169	341	22	,	,	PUNCT
aiti-11169	341	23	march	march	PROPN
aiti-11169	341	24	19	19	NUM
aiti-11169	341	25	,	,	PUNCT
aiti-11169	341	26	2015	2015	NUM
aiti-11169	341	27	.	.	PUNCT
aiti-11169	342	1	[	[	X
aiti-11169	342	2	18	18	NUM
aiti-11169	342	3	]	]	X
aiti-11169	342	4	g.	g.	NOUN
aiti-11169	342	5	chandrashekar	chandrashekar	PROPN
aiti-11169	342	6	and	and	CCONJ
aiti-11169	342	7	f.	f.	PROPN
aiti-11169	342	8	sahin	sahin	PROPN
aiti-11169	342	9	,	,	PUNCT
aiti-11169	342	10	“	"	PUNCT
aiti-11169	342	11	a	a	DET
aiti-11169	342	12	survey	survey	NOUN
aiti-11169	342	13	on	on	ADP
aiti-11169	342	14	feature	feature	NOUN
aiti-11169	342	15	selection	selection	NOUN
aiti-11169	342	16	methods	method	NOUN
aiti-11169	342	17	,	,	PUNCT
aiti-11169	342	18	”	"	PUNCT
aiti-11169	342	19	computers	computer	NOUN
aiti-11169	342	20	&	&	CCONJ
aiti-11169	342	21	electrical	electrical	ADJ
aiti-11169	342	22	engineering	engineering	NOUN
aiti-11169	342	23	,	,	PUNCT
aiti-11169	342	24	vol	vol	NOUN
aiti-11169	342	25	.	.	PROPN
aiti-11169	342	26	40	40	NUM
aiti-11169	342	27	,	,	PUNCT
aiti-11169	342	28	no	no	INTJ
aiti-11169	342	29	.	.	NOUN
aiti-11169	342	30	1	1	NUM
aiti-11169	342	31	,	,	PUNCT
aiti-11169	342	32	pp	pp	ADJ
aiti-11169	342	33	.	.	PUNCT
aiti-11169	343	1	16	16	NUM
aiti-11169	343	2	-	-	SYM
aiti-11169	343	3	28	28	NUM
aiti-11169	343	4	,	,	PUNCT
aiti-11169	343	5	january	january	PROPN
aiti-11169	343	6	2014	2014	NUM
aiti-11169	343	7	.	.	PUNCT
aiti-11169	344	1	[	[	X
aiti-11169	344	2	19	19	NUM
aiti-11169	344	3	]	]	PUNCT
aiti-11169	344	4	k.	k.	PROPN
aiti-11169	344	5	jeyalakshmi	jeyalakshmi	PROPN
aiti-11169	344	6	,	,	PUNCT
aiti-11169	344	7	“	"	PUNCT
aiti-11169	344	8	convergence	convergence	NOUN
aiti-11169	344	9	of	of	ADP
aiti-11169	344	10	optimization	optimization	NOUN
aiti-11169	344	11	problems	problem	NOUN
aiti-11169	344	12	,	,	PUNCT
aiti-11169	344	13	”	"	PUNCT
aiti-11169	344	14	bonfring	bonfre	VERB
aiti-11169	344	15	international	international	ADJ
aiti-11169	344	16	journal	journal	PROPN
aiti-11169	344	17	of	of	ADP
aiti-11169	344	18	data	data	PROPN
aiti-11169	344	19	mining	mining	NOUN
aiti-11169	344	20	,	,	PUNCT
aiti-11169	344	21	vol	vol	NOUN
aiti-11169	344	22	.	.	PROPN
aiti-11169	344	23	2	2	NUM
aiti-11169	344	24	,	,	PUNCT
aiti-11169	344	25	no	no	INTJ
aiti-11169	344	26	.	.	NOUN
aiti-11169	344	27	1	1	NUM
aiti-11169	344	28	,	,	PUNCT
aiti-11169	344	29	pp	pp	ADJ
aiti-11169	344	30	.	.	PUNCT
aiti-11169	345	1	13	13	NUM
aiti-11169	345	2	-	-	SYM
aiti-11169	345	3	16	16	NUM
aiti-11169	345	4	,	,	PUNCT
aiti-11169	345	5	march	march	PROPN
aiti-11169	345	6	2012	2012	NUM
aiti-11169	345	7	.	.	PUNCT
aiti-11169	346	1	[	[	X
aiti-11169	346	2	20	20	NUM
aiti-11169	346	3	]	]	PUNCT
aiti-11169	346	4	j.	j.	PROPN
aiti-11169	346	5	li	li	PROPN
aiti-11169	346	6	,	,	PUNCT
aiti-11169	346	7	k.	k.	PROPN
aiti-11169	346	8	cheng	cheng	PROPN
aiti-11169	346	9	,	,	PUNCT
aiti-11169	346	10	s.	s.	PROPN
aiti-11169	346	11	wang	wang	PROPN
aiti-11169	346	12	,	,	PUNCT
aiti-11169	346	13	f.	f.	PROPN
aiti-11169	346	14	morstatter	morstatter	PROPN
aiti-11169	346	15	,	,	PUNCT
aiti-11169	346	16	r.	r.	PROPN
aiti-11169	346	17	p.	p.	PROPN
aiti-11169	346	18	trevino	trevino	PROPN
aiti-11169	346	19	,	,	PUNCT
aiti-11169	346	20	j.	j.	PROPN
aiti-11169	346	21	tang	tang	PROPN
aiti-11169	346	22	,	,	PUNCT
aiti-11169	346	23	et	et	PROPN
aiti-11169	346	24	al	al	PROPN
aiti-11169	346	25	.	.	PROPN
aiti-11169	346	26	,	,	PUNCT
aiti-11169	346	27	“	"	PUNCT
aiti-11169	346	28	feature	feature	NOUN
aiti-11169	346	29	selection	selection	NOUN
aiti-11169	346	30	:	:	PUNCT
aiti-11169	346	31	a	a	DET
aiti-11169	346	32	data	data	NOUN
aiti-11169	346	33	perspective	perspective	NOUN
aiti-11169	346	34	,	,	PUNCT
aiti-11169	346	35	”	"	PUNCT
aiti-11169	346	36	acm	acm	PROPN
aiti-11169	346	37	computing	computing	NOUN
aiti-11169	346	38	surveys	survey	NOUN
aiti-11169	346	39	,	,	PUNCT
aiti-11169	346	40	vol	vol	NOUN
aiti-11169	346	41	.	.	PROPN
aiti-11169	346	42	50	50	NUM
aiti-11169	346	43	,	,	PUNCT
aiti-11169	346	44	no.6	no.6	PROPN
aiti-11169	346	45	,	,	PUNCT
aiti-11169	346	46	article	article	NOUN
aiti-11169	346	47	no	no	NOUN
aiti-11169	346	48	.	.	PROPN
aiti-11169	346	49	94	94	NUM
aiti-11169	346	50	,	,	PUNCT
aiti-11169	346	51	november	november	PROPN
aiti-11169	346	52	2018	2018	NUM
aiti-11169	346	53	.	.	PUNCT
aiti-11169	347	1	[	[	X
aiti-11169	347	2	21	21	NUM
aiti-11169	347	3	]	]	X
aiti-11169	347	4	r.	r.	PROPN
aiti-11169	347	5	crang	crang	PROPN
aiti-11169	347	6	,	,	PUNCT
aiti-11169	347	7	s.	s.	PROPN
aiti-11169	347	8	lyons	lyons	PROPN
aiti-11169	347	9	-	-	PUNCT
aiti-11169	347	10	sobaski	sobaski	NOUN
aiti-11169	347	11	,	,	PUNCT
aiti-11169	347	12	and	and	CCONJ
aiti-11169	347	13	r.	r.	PROPN
aiti-11169	347	14	wise	wise	PROPN
aiti-11169	347	15	,	,	PUNCT
aiti-11169	347	16	plant	plant	NOUN
aiti-11169	347	17	anatomy	anatomy	NOUN
aiti-11169	347	18	:	:	PUNCT
aiti-11169	347	19	a	a	DET
aiti-11169	347	20	concept	concept	NOUN
aiti-11169	347	21	-	-	PUNCT
aiti-11169	347	22	based	base	VERB
aiti-11169	347	23	approach	approach	NOUN
aiti-11169	347	24	to	to	ADP
aiti-11169	347	25	the	the	DET
aiti-11169	347	26	structure	structure	NOUN
aiti-11169	347	27	of	of	ADP
aiti-11169	347	28	seed	seed	NOUN
aiti-11169	347	29	plants	plant	NOUN
aiti-11169	347	30	,	,	PUNCT
aiti-11169	347	31	cham	cham	NOUN
aiti-11169	347	32	:	:	PUNCT
aiti-11169	347	33	springer	springer	NOUN
aiti-11169	347	34	,	,	PUNCT
aiti-11169	347	35	2018	2018	NUM
aiti-11169	347	36	.	.	PUNCT
aiti-11169	348	1	[	[	X
aiti-11169	348	2	22	22	NUM
aiti-11169	348	3	]	]	X
aiti-11169	348	4	c.	c.	PROPN
aiti-11169	348	5	e.	e.	PROPN
aiti-11169	348	6	metz	metz	PROPN
aiti-11169	348	7	,	,	PUNCT
aiti-11169	348	8	“	"	PUNCT
aiti-11169	348	9	basic	basic	ADJ
aiti-11169	348	10	principles	principle	NOUN
aiti-11169	348	11	of	of	ADP
aiti-11169	348	12	roc	roc	PROPN
aiti-11169	348	13	analysis	analysis	NOUN
aiti-11169	348	14	,	,	PUNCT
aiti-11169	348	15	”	"	PUNCT
aiti-11169	348	16	seminars	seminar	NOUN
aiti-11169	348	17	in	in	ADP
aiti-11169	348	18	nuclear	nuclear	ADJ
aiti-11169	348	19	medicine	medicine	NOUN
aiti-11169	348	20	,	,	PUNCT
aiti-11169	348	21	vol	vol	NOUN
aiti-11169	348	22	.	.	PROPN
aiti-11169	348	23	8	8	NUM
aiti-11169	348	24	,	,	PUNCT
aiti-11169	348	25	no	no	INTJ
aiti-11169	348	26	.	.	NOUN
aiti-11169	348	27	4	4	NUM
aiti-11169	348	28	,	,	PUNCT
aiti-11169	348	29	pp	pp	ADJ
aiti-11169	348	30	.	.	PUNCT
aiti-11169	349	1	283	283	NUM
aiti-11169	349	2	-	-	SYM
aiti-11169	349	3	298	298	NUM
aiti-11169	349	4	,	,	PUNCT
aiti-11169	349	5	october	october	PROPN
aiti-11169	349	6	1978	1978	NUM
aiti-11169	349	7	.	.	PUNCT
aiti-11169	350	1	[	[	X
aiti-11169	350	2	23	23	NUM
aiti-11169	350	3	]	]	PUNCT
aiti-11169	350	4	k.	k.	PROPN
aiti-11169	350	5	c.	c.	PROPN
aiti-11169	350	6	chua	chua	PROPN
aiti-11169	350	7	,	,	PUNCT
aiti-11169	350	8	v.	v.	PROPN
aiti-11169	350	9	chandran	chandran	PROPN
aiti-11169	350	10	,	,	PUNCT
aiti-11169	350	11	u.	u.	PROPN
aiti-11169	350	12	r.	r.	PROPN
aiti-11169	350	13	acharya	acharya	PROPN
aiti-11169	350	14	,	,	PUNCT
aiti-11169	350	15	and	and	CCONJ
aiti-11169	350	16	c.	c.	PROPN
aiti-11169	350	17	m.	m.	PROPN
aiti-11169	350	18	lim	lim	PROPN
aiti-11169	350	19	,	,	PUNCT
aiti-11169	350	20	“	"	PUNCT
aiti-11169	350	21	application	application	NOUN
aiti-11169	350	22	of	of	ADP
aiti-11169	350	23	higher	high	ADJ
aiti-11169	350	24	order	order	NOUN
aiti-11169	350	25	statistics	statistic	NOUN
aiti-11169	350	26	/	/	SYM
aiti-11169	350	27	spectra	spectra	NOUN
aiti-11169	350	28	in	in	ADP
aiti-11169	350	29	biomedical	biomedical	ADJ
aiti-11169	350	30	signals	signal	NOUN
aiti-11169	350	31	—	—	PUNCT
aiti-11169	350	32	a	a	DET
aiti-11169	350	33	review	review	NOUN
aiti-11169	350	34	,	,	PUNCT
aiti-11169	350	35	”	"	PUNCT
aiti-11169	350	36	medical	medical	ADJ
aiti-11169	350	37	engineering	engineering	PROPN
aiti-11169	350	38	&	&	CCONJ
aiti-11169	350	39	physics	physics	PROPN
aiti-11169	350	40	,	,	PUNCT
aiti-11169	350	41	vol	vol	NOUN
aiti-11169	350	42	.	.	PROPN
aiti-11169	350	43	32	32	NUM
aiti-11169	350	44	,	,	PUNCT
aiti-11169	350	45	no	no	INTJ
aiti-11169	350	46	.	.	NOUN
aiti-11169	350	47	7	7	NUM
aiti-11169	350	48	,	,	PUNCT
aiti-11169	350	49	pp	pp	ADJ
aiti-11169	350	50	.	.	PUNCT
aiti-11169	351	1	679	679	NUM
aiti-11169	351	2	-	-	NUM
aiti-11169	351	3	689	689	NUM
aiti-11169	351	4	,	,	PUNCT
aiti-11169	351	5	september	september	PROPN
aiti-11169	351	6	2010	2010	NUM
aiti-11169	351	7	.	.	PUNCT
aiti-11169	352	1	[	[	X
aiti-11169	352	2	24	24	NUM
aiti-11169	352	3	]	]	X
aiti-11169	352	4	r.	r.	PROPN
aiti-11169	352	5	gong	gong	PROPN
aiti-11169	352	6	,	,	PUNCT
aiti-11169	352	7	k.	k.	PROPN
aiti-11169	352	8	hase	hase	PROPN
aiti-11169	352	9	,	,	PUNCT
aiti-11169	352	10	h.	h.	PROPN
aiti-11169	352	11	goto	goto	PROPN
aiti-11169	352	12	,	,	PUNCT
aiti-11169	352	13	k.	k.	PROPN
aiti-11169	352	14	yoshioka	yoshioka	PROPN
aiti-11169	352	15	,	,	PUNCT
aiti-11169	352	16	and	and	CCONJ
aiti-11169	352	17	s.	s.	PROPN
aiti-11169	352	18	ota	ota	PROPN
aiti-11169	352	19	,	,	PUNCT
aiti-11169	352	20	“	"	PUNCT
aiti-11169	352	21	knee	knee	NOUN
aiti-11169	352	22	osteoarthritis	osteoarthritis	NOUN
aiti-11169	352	23	detection	detection	NOUN
aiti-11169	352	24	based	base	VERB
aiti-11169	352	25	on	on	ADP
aiti-11169	352	26	the	the	DET
aiti-11169	352	27	combination	combination	NOUN
aiti-11169	352	28	of	of	ADP
aiti-11169	352	29	empirical	empirical	ADJ
aiti-11169	352	30	mode	mode	NOUN
aiti-11169	352	31	decomposition	decomposition	NOUN
aiti-11169	352	32	and	and	CCONJ
aiti-11169	352	33	wavelet	wavelet	NOUN
aiti-11169	352	34	analysis	analysis	NOUN
aiti-11169	352	35	,	,	PUNCT
aiti-11169	352	36	”	"	PUNCT
aiti-11169	352	37	journal	journal	NOUN
aiti-11169	352	38	of	of	ADP
aiti-11169	352	39	biomechanical	biomechanical	ADJ
aiti-11169	352	40	science	science	NOUN
aiti-11169	352	41	and	and	CCONJ
aiti-11169	352	42	engineering	engineering	NOUN
aiti-11169	352	43	,	,	PUNCT
aiti-11169	352	44	vol	vol	NOUN
aiti-11169	352	45	.	.	PROPN
aiti-11169	352	46	15	15	NUM
aiti-11169	352	47	,	,	PUNCT
aiti-11169	352	48	no	no	INTJ
aiti-11169	352	49	.	.	NOUN
aiti-11169	352	50	3	3	NUM
aiti-11169	352	51	,	,	PUNCT
aiti-11169	352	52	p.	p.	NOUN
aiti-11169	352	53	20	20	NUM
aiti-11169	352	54	-	-	SYM
aiti-11169	352	55	00017	00017	NUM
aiti-11169	352	56	,	,	PUNCT
aiti-11169	352	57	2020	2020	NUM
aiti-11169	352	58	.	.	PUNCT
aiti-11169	353	1	[	[	X
aiti-11169	353	2	25	25	NUM
aiti-11169	353	3	]	]	PUNCT
aiti-11169	353	4	s.	s.	PROPN
aiti-11169	353	5	lobov	lobov	PROPN
aiti-11169	353	6	,	,	PUNCT
aiti-11169	353	7	n.	n.	PROPN
aiti-11169	353	8	krilova	krilova	PROPN
aiti-11169	353	9	,	,	PUNCT
aiti-11169	353	10	i.	i.	PROPN
aiti-11169	353	11	kastalskiy	kastalskiy	PROPN
aiti-11169	353	12	,	,	PUNCT
aiti-11169	353	13	v.	v.	CCONJ
aiti-11169	353	14	kazantsev	kazantsev	NOUN
aiti-11169	353	15	,	,	PUNCT
aiti-11169	353	16	and	and	CCONJ
aiti-11169	353	17	v.	v.	ADP
aiti-11169	353	18	a.	a.	NOUN
aiti-11169	353	19	makarov	makarov	PROPN
aiti-11169	353	20	,	,	PUNCT
aiti-11169	353	21	“	"	PUNCT
aiti-11169	353	22	latent	latent	NOUN
aiti-11169	353	23	factors	factor	NOUN
aiti-11169	353	24	limiting	limit	VERB
aiti-11169	353	25	the	the	DET
aiti-11169	353	26	performance	performance	NOUN
aiti-11169	353	27	of	of	ADP
aiti-11169	353	28	semg	semg	NOUN
aiti-11169	353	29	-	-	PUNCT
aiti-11169	353	30	interfaces	interface	NOUN
aiti-11169	353	31	,	,	PUNCT
aiti-11169	353	32	”	"	PUNCT
aiti-11169	353	33	sensors	sensor	NOUN
aiti-11169	353	34	,	,	PUNCT
aiti-11169	353	35	vol	vol	NOUN
aiti-11169	353	36	.	.	PROPN
aiti-11169	354	1	18	18	NUM
aiti-11169	354	2	,	,	PUNCT
aiti-11169	354	3	no	no	INTJ
aiti-11169	354	4	.	.	NOUN
aiti-11169	354	5	4	4	NUM
aiti-11169	354	6	,	,	PUNCT
aiti-11169	354	7	article	article	NOUN
aiti-11169	354	8	no	no	NOUN
aiti-11169	354	9	.	.	PROPN
aiti-11169	354	10	1122	1122	NUM
aiti-11169	354	11	,	,	PUNCT
aiti-11169	354	12	april	april	PROPN
aiti-11169	354	13	2018	2018	NUM
aiti-11169	354	14	.	.	PUNCT
aiti-11169	355	1	[	[	X
aiti-11169	355	2	26	26	NUM
aiti-11169	355	3	]	]	X
aiti-11169	355	4	g.	g.	PROPN
aiti-11169	355	5	chaudhari	chaudhari	PROPN
aiti-11169	355	6	,	,	PUNCT
aiti-11169	355	7	x.	x.	PROPN
aiti-11169	355	8	jiang	jiang	PROPN
aiti-11169	355	9	,	,	PUNCT
aiti-11169	355	10	a.	a.	NOUN
aiti-11169	355	11	fakhry	fakhry	PROPN
aiti-11169	355	12	,	,	PUNCT
aiti-11169	355	13	a.	a.	PROPN
aiti-11169	355	14	han	han	PROPN
aiti-11169	355	15	,	,	PUNCT
aiti-11169	355	16	j.	j.	PROPN
aiti-11169	355	17	xiao	xiao	PROPN
aiti-11169	355	18	,	,	PUNCT
aiti-11169	355	19	s.	s.	PROPN
aiti-11169	355	20	shen	shen	PROPN
aiti-11169	355	21	,	,	PUNCT
aiti-11169	355	22	et	et	PROPN
aiti-11169	355	23	al	al	PROPN
aiti-11169	355	24	.	.	PROPN
aiti-11169	355	25	,	,	PUNCT
aiti-11169	355	26	“	"	PUNCT
aiti-11169	355	27	virufy	virufy	NOUN
aiti-11169	355	28	:	:	PUNCT
aiti-11169	355	29	global	global	ADJ
aiti-11169	355	30	applicability	applicability	NOUN
aiti-11169	355	31	of	of	ADP
aiti-11169	355	32	crowdsourced	crowdsourced	ADJ
aiti-11169	355	33	and	and	CCONJ
aiti-11169	355	34	clinical	clinical	ADJ
aiti-11169	355	35	datasets	dataset	NOUN
aiti-11169	355	36	for	for	ADP
aiti-11169	355	37	ai	ai	PRON
aiti-11169	355	38	detection	detection	NOUN
aiti-11169	355	39	of	of	ADP
aiti-11169	355	40	covid-19	covid-19	PROPN
aiti-11169	355	41	from	from	ADP
aiti-11169	355	42	cough	cough	NOUN
aiti-11169	355	43	,	,	PUNCT
aiti-11169	355	44	”	"	PUNCT
aiti-11169	355	45	https://doi.org/10.48550/arxiv.2011.13320	https://doi.org/10.48550/arxiv.2011.13320	PROPN
aiti-11169	355	46	,	,	PUNCT
aiti-11169	355	47	november	november	PROPN
aiti-11169	355	48	26	26	NUM
aiti-11169	355	49	,	,	PUNCT
aiti-11169	355	50	2020	2020	NUM
aiti-11169	355	51	.	.	PUNCT
aiti-11169	356	1	[	[	X
aiti-11169	356	2	27	27	NUM
aiti-11169	356	3	]	]	X
aiti-11169	356	4	c.	c.	PROPN
aiti-11169	356	5	molnar	molnar	PROPN
aiti-11169	356	6	,	,	PUNCT
aiti-11169	356	7	interpretable	interpretable	ADJ
aiti-11169	356	8	machine	machine	NOUN
aiti-11169	356	9	learning	learning	PROPN
aiti-11169	356	10	,	,	PUNCT
aiti-11169	356	11	morrisville	morrisville	PROPN
aiti-11169	356	12	:	:	PUNCT
aiti-11169	356	13	lulu	lulu	PROPN
aiti-11169	356	14	,	,	PUNCT
aiti-11169	356	15	2020	2020	NUM
aiti-11169	356	16	.	.	PUNCT
aiti-11169	357	1	[	[	X
aiti-11169	357	2	28	28	NUM
aiti-11169	357	3	]	]	X
aiti-11169	357	4	e.	e.	PROPN
aiti-11169	357	5	ofori	ofori	PROPN
aiti-11169	357	6	-	-	PUNCT
aiti-11169	357	7	ntow	ntow	ADV
aiti-11169	357	8	jnr	jnr	PROPN
aiti-11169	357	9	,	,	PUNCT
aiti-11169	357	10	y.	y.	PROPN
aiti-11169	357	11	y.	y.	PROPN
aiti-11169	357	12	ziggah	ziggah	PROPN
aiti-11169	357	13	,	,	PUNCT
aiti-11169	357	14	m.	m.	PROPN
aiti-11169	357	15	j.	j.	PROPN
aiti-11169	357	16	rodrigues	rodrigues	PROPN
aiti-11169	357	17	,	,	PUNCT
aiti-11169	357	18	and	and	CCONJ
aiti-11169	357	19	s.	s.	PROPN
aiti-11169	357	20	relvas	relvas	PROPN
aiti-11169	357	21	,	,	PUNCT
aiti-11169	357	22	“	"	PUNCT
aiti-11169	357	23	a	a	DET
aiti-11169	357	24	new	new	ADJ
aiti-11169	357	25	long	long	ADJ
aiti-11169	357	26	-	-	PUNCT
aiti-11169	357	27	term	term	NOUN
aiti-11169	357	28	photovoltaic	photovoltaic	NOUN
aiti-11169	357	29	power	power	NOUN
aiti-11169	357	30	forecasting	forecasting	NOUN
aiti-11169	357	31	model	model	NOUN
aiti-11169	357	32	based	base	VERB
aiti-11169	357	33	on	on	ADP
aiti-11169	357	34	stacking	stack	VERB
aiti-11169	357	35	generalization	generalization	NOUN
aiti-11169	357	36	methodology	methodology	NOUN
aiti-11169	357	37	,	,	PUNCT
aiti-11169	357	38	”	"	PUNCT
aiti-11169	357	39	natural	natural	ADJ
aiti-11169	357	40	resources	resource	NOUN
aiti-11169	357	41	research	research	NOUN
aiti-11169	357	42	,	,	PUNCT
aiti-11169	357	43	vol	vol	NOUN
aiti-11169	357	44	.	.	PROPN
aiti-11169	358	1	31	31	NUM
aiti-11169	358	2	,	,	PUNCT
aiti-11169	358	3	no	no	INTJ
aiti-11169	358	4	.	.	NOUN
aiti-11169	358	5	3	3	NUM
aiti-11169	358	6	,	,	PUNCT
aiti-11169	358	7	pp	pp	ADJ
aiti-11169	358	8	.	.	PUNCT
aiti-11169	359	1	1265	1265	NUM
aiti-11169	359	2	-	-	SYM
aiti-11169	359	3	1287	1287	NUM
aiti-11169	359	4	,	,	PUNCT
aiti-11169	359	5	june	june	PROPN
aiti-11169	359	6	2022	2022	NUM
aiti-11169	359	7	.	.	PUNCT
aiti-11169	360	1	[	[	X
aiti-11169	360	2	29	29	NUM
aiti-11169	360	3	]	]	PUNCT
aiti-11169	360	4	s.	s.	PROPN
aiti-11169	360	5	b.	b.	PROPN
aiti-11169	360	6	kotsiantis	kotsiantis	PROPN
aiti-11169	360	7	,	,	PUNCT
aiti-11169	360	8	i.	i.	PROPN
aiti-11169	360	9	d.	d.	PROPN
aiti-11169	360	10	zaharakis	zaharakis	PROPN
aiti-11169	360	11	,	,	PUNCT
aiti-11169	360	12	and	and	CCONJ
aiti-11169	360	13	p.	p.	PROPN
aiti-11169	360	14	e.	e.	PROPN
aiti-11169	360	15	pintelas	pintelas	PROPN
aiti-11169	360	16	,	,	PUNCT
aiti-11169	360	17	“	"	PUNCT
aiti-11169	360	18	machine	machine	NOUN
aiti-11169	360	19	learning	learning	NOUN
aiti-11169	360	20	:	:	PUNCT
aiti-11169	360	21	a	a	DET
aiti-11169	360	22	review	review	NOUN
aiti-11169	360	23	of	of	ADP
aiti-11169	360	24	classification	classification	NOUN
aiti-11169	360	25	and	and	CCONJ
aiti-11169	360	26	combining	combine	VERB
aiti-11169	360	27	techniques	technique	NOUN
aiti-11169	360	28	,	,	PUNCT
aiti-11169	360	29	”	"	PUNCT
aiti-11169	360	30	artificial	artificial	ADJ
aiti-11169	360	31	intelligence	intelligence	NOUN
aiti-11169	360	32	review	review	NOUN
aiti-11169	360	33	,	,	PUNCT
aiti-11169	360	34	vol	vol	NOUN
aiti-11169	360	35	.	.	PROPN
aiti-11169	360	36	26	26	NUM
aiti-11169	360	37	,	,	PUNCT
aiti-11169	360	38	no	no	INTJ
aiti-11169	360	39	.	.	NOUN
aiti-11169	360	40	3	3	NUM
aiti-11169	360	41	,	,	PUNCT
aiti-11169	360	42	pp	pp	ADJ
aiti-11169	360	43	.	.	PUNCT
aiti-11169	360	44	159	159	NUM
aiti-11169	360	45	-	-	SYM
aiti-11169	360	46	190	190	NUM
aiti-11169	360	47	,	,	PUNCT
aiti-11169	360	48	november	november	PROPN
aiti-11169	360	49	2006	2006	NUM
aiti-11169	360	50	.	.	PUNCT
aiti-11169	361	1	copyright	copyright	NOUN
aiti-11169	361	2	©	©	PROPN
aiti-11169	361	3	by	by	ADP
aiti-11169	361	4	the	the	DET
aiti-11169	361	5	authors	author	NOUN
aiti-11169	361	6	.	.	PUNCT
aiti-11169	362	1	licensee	licensee	PROPN
aiti-11169	362	2	taeti	taeti	PROPN
aiti-11169	362	3	,	,	PUNCT
aiti-11169	362	4	taiwan	taiwan	PROPN
aiti-11169	362	5	.	.	PUNCT
aiti-11169	363	1	this	this	DET
aiti-11169	363	2	article	article	NOUN
aiti-11169	363	3	is	be	AUX
aiti-11169	363	4	an	an	DET
aiti-11169	363	5	open	open	ADJ
aiti-11169	363	6	access	access	NOUN
aiti-11169	363	7	article	article	NOUN
aiti-11169	363	8	distributed	distribute	VERB
aiti-11169	363	9	under	under	ADP
aiti-11169	363	10	the	the	DET
aiti-11169	363	11	terms	term	NOUN
aiti-11169	363	12	and	and	CCONJ
aiti-11169	363	13	conditions	condition	NOUN
aiti-11169	363	14	of	of	ADP
aiti-11169	363	15	the	the	DET
aiti-11169	363	16	creative	creative	ADJ
aiti-11169	363	17	commons	common	NOUN
aiti-11169	363	18	attribution	attribution	NOUN
aiti-11169	363	19	(	(	PUNCT
aiti-11169	363	20	cc	cc	NOUN
aiti-11169	363	21	by	by	ADP
aiti-11169	363	22	-	-	PUNCT
aiti-11169	363	23	nc	nc	NOUN
aiti-11169	363	24	)	)	PUNCT
aiti-11169	363	25	license	license	NOUN
aiti-11169	363	26	(	(	PUNCT
aiti-11169	363	27	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-11169	363	28	)	)	PUNCT
aiti-11169	363	29	.	.	PUNCT