id	sid	tid	token	lemma	pos
aiti-13951	1	1	microsoft	microsoft	PROPN
aiti-13951	1	2	word	word	NOUN
aiti-13951	1	3	3	3	NUM
aiti-13951	1	4	-	-	PUNCT
aiti-13951	1	5	v9n4(2024)-aiti#13951(287	v9n4(2024)-aiti#13951(287	NOUN
aiti-13951	1	6	-	-	PUNCT
aiti-13951	1	7	300).docx	300).docx	NUM
aiti-13951	1	8	advances	advance	NOUN
aiti-13951	1	9	in	in	ADP
aiti-13951	1	10	technology	technology	NOUN
aiti-13951	1	11	innovation	innovation	NOUN
aiti-13951	1	12	,	,	PUNCT
aiti-13951	1	13	vol	vol	NOUN
aiti-13951	1	14	.	.	PROPN
aiti-13951	1	15	9	9	NUM
aiti-13951	1	16	,	,	PUNCT
aiti-13951	1	17	no	no	INTJ
aiti-13951	1	18	.	.	NOUN
aiti-13951	1	19	4	4	NUM
aiti-13951	1	20	,	,	PUNCT
aiti-13951	1	21	2024	2024	NUM
aiti-13951	1	22	,	,	PUNCT
aiti-13951	1	23	pp	pp	ADJ
aiti-13951	1	24	.	.	PUNCT
aiti-13951	2	1	287	287	NUM
aiti-13951	2	2	-	-	SYM
aiti-13951	2	3	300	300	NUM
aiti-13951	2	4	english	english	ADJ
aiti-13951	2	5	language	language	NOUN
aiti-13951	2	6	proofreader	proofreader	NOUN
aiti-13951	2	7	:	:	PUNCT
aiti-13951	2	8	yen	yen	NOUN
aiti-13951	2	9	-	-	PUNCT
aiti-13951	2	10	chun	chun	PROPN
aiti-13951	2	11	hsieh	hsieh	PROPN
aiti-13951	2	12	performance	performance	NOUN
aiti-13951	2	13	evaluation	evaluation	NOUN
aiti-13951	2	14	of	of	ADP
aiti-13951	2	15	neural	neural	ADJ
aiti-13951	2	16	network	network	NOUN
aiti-13951	2	17	models	model	NOUN
aiti-13951	2	18	for	for	ADP
aiti-13951	2	19	autism	autism	NOUN
aiti-13951	2	20	detection	detection	NOUN
aiti-13951	2	21	using	use	VERB
aiti-13951	2	22	eeg	eeg	PROPN
aiti-13951	2	23	data	datum	NOUN
aiti-13951	2	24	nazmul	nazmul	PROPN
aiti-13951	2	25	hasan1	hasan1	PROPN
aiti-13951	2	26	,	,	PUNCT
aiti-13951	2	27	*	*	PROPN
aiti-13951	2	28	,	,	PUNCT
aiti-13951	2	29	priyasha	priyasha	PROPN
aiti-13951	2	30	paul2	paul2	PROPN
aiti-13951	2	31	,	,	PUNCT
aiti-13951	2	32	manisha	manisha	PROPN
aiti-13951	2	33	jitendra	jitendra	PROPN
aiti-13951	2	34	nene1	nene1	PROPN
aiti-13951	3	1	1school	1school	NUM
aiti-13951	3	2	of	of	ADP
aiti-13951	3	3	computer	computer	NOUN
aiti-13951	3	4	engineering	engineering	NOUN
aiti-13951	3	5	and	and	CCONJ
aiti-13951	3	6	mathematical	mathematical	ADJ
aiti-13951	3	7	sciences	sciences	PROPN
aiti-13951	3	8	,	,	PUNCT
aiti-13951	3	9	defence	defence	NOUN
aiti-13951	3	10	institute	institute	NOUN
aiti-13951	3	11	of	of	ADP
aiti-13951	3	12	advanced	advanced	ADJ
aiti-13951	3	13	technology	technology	NOUN
aiti-13951	3	14	,	,	PUNCT
aiti-13951	3	15	pune	pune	NOUN
aiti-13951	3	16	,	,	PUNCT
aiti-13951	3	17	india	india	PROPN
aiti-13951	3	18	2department	2department	PROPN
aiti-13951	3	19	of	of	ADP
aiti-13951	3	20	biosciences	bioscience	NOUN
aiti-13951	3	21	,	,	PUNCT
aiti-13951	3	22	manipal	manipal	PROPN
aiti-13951	3	23	university	university	PROPN
aiti-13951	3	24	jaipur	jaipur	PROPN
aiti-13951	3	25	,	,	PUNCT
aiti-13951	3	26	jaipur	jaipur	PROPN
aiti-13951	3	27	,	,	PUNCT
aiti-13951	3	28	india	india	PROPN
aiti-13951	3	29	received	receive	VERB
aiti-13951	3	30	01	01	NUM
aiti-13951	3	31	july	july	PROPN
aiti-13951	3	32	2024	2024	NUM
aiti-13951	3	33	;	;	PUNCT
aiti-13951	3	34	received	receive	VERB
aiti-13951	3	35	in	in	ADP
aiti-13951	3	36	revised	revise	VERB
aiti-13951	3	37	form	form	NOUN
aiti-13951	3	38	31	31	NUM
aiti-13951	3	39	july	july	PROPN
aiti-13951	3	40	2024	2024	NUM
aiti-13951	3	41	;	;	PUNCT
aiti-13951	3	42	accepted	accept	VERB
aiti-13951	3	43	02	02	NUM
aiti-13951	3	44	august	august	PROPN
aiti-13951	3	45	2024	2024	NUM
aiti-13951	3	46	doi	doi	NOUN
aiti-13951	3	47	:	:	PUNCT
aiti-13951	3	48	https://doi.org/10.46604/aiti.2024.13951	https://doi.org/10.46604/aiti.2024.13951	PROPN
aiti-13951	3	49	abstract	abstract	ADV
aiti-13951	3	50	this	this	DET
aiti-13951	3	51	study	study	NOUN
aiti-13951	3	52	aims	aim	VERB
aiti-13951	3	53	to	to	PART
aiti-13951	3	54	leverage	leverage	VERB
aiti-13951	3	55	a	a	DET
aiti-13951	3	56	promising	promising	ADJ
aiti-13951	3	57	avenue	avenue	NOUN
aiti-13951	3	58	for	for	ADP
aiti-13951	3	59	the	the	DET
aiti-13951	3	60	precise	precise	ADJ
aiti-13951	3	61	and	and	CCONJ
aiti-13951	3	62	early	early	ADJ
aiti-13951	3	63	detection	detection	NOUN
aiti-13951	3	64	of	of	ADP
aiti-13951	3	65	autism	autism	NOUN
aiti-13951	3	66	.	.	PUNCT
aiti-13951	4	1	autism	autism	NOUN
aiti-13951	4	2	is	be	AUX
aiti-13951	4	3	a	a	DET
aiti-13951	4	4	multifaceted	multifaceted	ADJ
aiti-13951	4	5	neurodevelopmental	neurodevelopmental	ADJ
aiti-13951	4	6	condition	condition	NOUN
aiti-13951	4	7	marked	mark	VERB
aiti-13951	4	8	by	by	ADP
aiti-13951	4	9	challenges	challenge	NOUN
aiti-13951	4	10	in	in	ADP
aiti-13951	4	11	social	social	ADJ
aiti-13951	4	12	interaction	interaction	NOUN
aiti-13951	4	13	,	,	PUNCT
aiti-13951	4	14	communication	communication	NOUN
aiti-13951	4	15	,	,	PUNCT
aiti-13951	4	16	and	and	CCONJ
aiti-13951	4	17	repetitive	repetitive	ADJ
aiti-13951	4	18	behaviors	behavior	NOUN
aiti-13951	4	19	.	.	PUNCT
aiti-13951	5	1	traditional	traditional	ADJ
aiti-13951	5	2	diagnosis	diagnosis	NOUN
aiti-13951	5	3	relies	rely	VERB
aiti-13951	5	4	on	on	ADP
aiti-13951	5	5	time	time	NOUN
aiti-13951	5	6	-	-	PUNCT
aiti-13951	5	7	consuming	consume	VERB
aiti-13951	5	8	behavioral	behavioral	ADJ
aiti-13951	5	9	assessments	assessment	NOUN
aiti-13951	5	10	,	,	PUNCT
aiti-13951	5	11	necessitating	necessitate	VERB
aiti-13951	5	12	reliable	reliable	ADJ
aiti-13951	5	13	and	and	CCONJ
aiti-13951	5	14	non	non	ADJ
aiti-13951	5	15	-	-	ADJ
aiti-13951	5	16	intrusive	intrusive	ADJ
aiti-13951	5	17	biomarkers	biomarker	NOUN
aiti-13951	5	18	for	for	ADP
aiti-13951	5	19	early	early	ADJ
aiti-13951	5	20	and	and	CCONJ
aiti-13951	5	21	accurate	accurate	ADJ
aiti-13951	5	22	detection	detection	NOUN
aiti-13951	5	23	.	.	PUNCT
aiti-13951	6	1	this	this	DET
aiti-13951	6	2	paper	paper	NOUN
aiti-13951	6	3	analyzes	analyze	VERB
aiti-13951	6	4	eleven	eleven	NUM
aiti-13951	6	5	linear	linear	ADJ
aiti-13951	6	6	and	and	CCONJ
aiti-13951	6	7	non	non	ADJ
aiti-13951	6	8	-	-	ADJ
aiti-13951	6	9	linear	linear	ADJ
aiti-13951	6	10	features	feature	NOUN
aiti-13951	6	11	across	across	ADP
aiti-13951	6	12	time	time	NOUN
aiti-13951	6	13	and	and	CCONJ
aiti-13951	6	14	frequency	frequency	NOUN
aiti-13951	6	15	domains	domain	NOUN
aiti-13951	6	16	from	from	ADP
aiti-13951	6	17	an	an	DET
aiti-13951	6	18	eeg	eeg	NOUN
aiti-13951	6	19	dataset	dataset	NOUN
aiti-13951	6	20	.	.	PUNCT
aiti-13951	7	1	four	four	NUM
aiti-13951	7	2	neural	neural	ADJ
aiti-13951	7	3	network	network	NOUN
aiti-13951	7	4	models	model	NOUN
aiti-13951	7	5	,	,	PUNCT
aiti-13951	7	6	such	such	ADJ
aiti-13951	7	7	as	as	ADP
aiti-13951	7	8	convolutional	convolutional	ADJ
aiti-13951	7	9	neural	neural	ADJ
aiti-13951	7	10	network	network	NOUN
aiti-13951	7	11	(	(	PUNCT
aiti-13951	7	12	cnn	cnn	PROPN
aiti-13951	7	13	)	)	PUNCT
aiti-13951	7	14	,	,	PUNCT
aiti-13951	7	15	deep	deep	ADJ
aiti-13951	7	16	neural	neural	ADJ
aiti-13951	7	17	network	network	NOUN
aiti-13951	7	18	(	(	PUNCT
aiti-13951	7	19	dnn	dnn	PROPN
aiti-13951	7	20	)	)	PUNCT
aiti-13951	7	21	,	,	PUNCT
aiti-13951	7	22	long	long	ADJ
aiti-13951	7	23	short	short	ADJ
aiti-13951	7	24	-	-	PUNCT
aiti-13951	7	25	term	term	NOUN
aiti-13951	7	26	memory	memory	NOUN
aiti-13951	7	27	(	(	PUNCT
aiti-13951	7	28	lstm	lstm	NOUN
aiti-13951	7	29	)	)	PUNCT
aiti-13951	7	30	,	,	PUNCT
aiti-13951	7	31	and	and	CCONJ
aiti-13951	7	32	a	a	DET
aiti-13951	7	33	custom	custom	NOUN
aiti-13951	7	34	neural	neural	ADJ
aiti-13951	7	35	network	network	NOUN
aiti-13951	7	36	are	be	AUX
aiti-13951	7	37	employed	employ	VERB
aiti-13951	7	38	for	for	ADP
aiti-13951	7	39	classification	classification	NOUN
aiti-13951	7	40	.	.	PUNCT
aiti-13951	8	1	the	the	DET
aiti-13951	8	2	cnn	cnn	PROPN
aiti-13951	8	3	achieves	achieve	VERB
aiti-13951	8	4	the	the	DET
aiti-13951	8	5	lowest	low	ADJ
aiti-13951	8	6	accuracy	accuracy	NOUN
aiti-13951	8	7	at	at	ADP
aiti-13951	8	8	89.02	89.02	NUM
aiti-13951	8	9	%	%	NOUN
aiti-13951	8	10	,	,	PUNCT
aiti-13951	8	11	while	while	SCONJ
aiti-13951	8	12	the	the	DET
aiti-13951	8	13	custom	custom	NOUN
aiti-13951	8	14	neural	neural	ADJ
aiti-13951	8	15	network	network	NOUN
aiti-13951	8	16	reaches	reach	VERB
aiti-13951	8	17	the	the	DET
aiti-13951	8	18	highest	high	ADJ
aiti-13951	8	19	accuracy	accuracy	NOUN
aiti-13951	8	20	at	at	ADP
aiti-13951	8	21	94.02	94.02	NUM
aiti-13951	8	22	%	%	NOUN
aiti-13951	8	23	,	,	PUNCT
aiti-13951	8	24	and	and	CCONJ
aiti-13951	8	25	the	the	DET
aiti-13951	8	26	dnn	dnn	PROPN
aiti-13951	8	27	and	and	CCONJ
aiti-13951	8	28	lstm	lstm	NOUN
aiti-13951	8	29	achieve	achieve	VERB
aiti-13951	8	30	91.98	91.98	NUM
aiti-13951	8	31	%	%	NOUN
aiti-13951	8	32	and	and	CCONJ
aiti-13951	8	33	93.83	93.83	NUM
aiti-13951	8	34	%	%	NOUN
aiti-13951	8	35	accuracy	accuracy	NOUN
aiti-13951	8	36	,	,	PUNCT
aiti-13951	8	37	respectively	respectively	ADV
aiti-13951	8	38	.	.	PUNCT
aiti-13951	9	1	other	other	ADJ
aiti-13951	9	2	metrics	metric	NOUN
aiti-13951	9	3	such	such	ADJ
aiti-13951	9	4	as	as	ADP
aiti-13951	9	5	precision	precision	NOUN
aiti-13951	9	6	,	,	PUNCT
aiti-13951	9	7	recall	recall	NOUN
aiti-13951	9	8	,	,	PUNCT
aiti-13951	9	9	specificity	specificity	NOUN
aiti-13951	9	10	,	,	PUNCT
aiti-13951	9	11	and	and	CCONJ
aiti-13951	9	12	f1	f1	NOUN
aiti-13951	9	13	-	-	PUNCT
aiti-13951	9	14	score	score	NOUN
aiti-13951	9	15	,	,	PUNCT
aiti-13951	9	16	are	be	AUX
aiti-13951	9	17	also	also	ADV
aiti-13951	9	18	evaluated	evaluate	VERB
aiti-13951	9	19	.	.	PUNCT
aiti-13951	10	1	this	this	DET
aiti-13951	10	2	research	research	NOUN
aiti-13951	10	3	underscores	underscore	VERB
aiti-13951	10	4	the	the	DET
aiti-13951	10	5	efficacy	efficacy	NOUN
aiti-13951	10	6	of	of	ADP
aiti-13951	10	7	neural	neural	ADJ
aiti-13951	10	8	network	network	NOUN
aiti-13951	10	9	in	in	ADP
aiti-13951	10	10	detecting	detect	VERB
aiti-13951	10	11	autism	autism	NOUN
aiti-13951	10	12	,	,	PUNCT
aiti-13951	10	13	advancing	advance	VERB
aiti-13951	10	14	diagnostic	diagnostic	ADJ
aiti-13951	10	15	tools	tool	NOUN
aiti-13951	10	16	.	.	PUNCT
aiti-13951	11	1	keywords	keyword	NOUN
aiti-13951	11	2	:	:	PUNCT
aiti-13951	11	3	autism	autism	NOUN
aiti-13951	11	4	,	,	PUNCT
aiti-13951	11	5	detection	detection	NOUN
aiti-13951	11	6	,	,	PUNCT
aiti-13951	11	7	eeg	eeg	PROPN
aiti-13951	11	8	,	,	PUNCT
aiti-13951	11	9	machine	machine	NOUN
aiti-13951	11	10	learning	learning	NOUN
aiti-13951	11	11	,	,	PUNCT
aiti-13951	11	12	neural	neural	ADJ
aiti-13951	11	13	network	network	NOUN
aiti-13951	11	14	1	1	NUM
aiti-13951	11	15	.	.	PUNCT
aiti-13951	12	1	introduction	introduction	NOUN
aiti-13951	12	2	autism	autism	NOUN
aiti-13951	12	3	spectrum	spectrum	NOUN
aiti-13951	12	4	disorder	disorder	NOUN
aiti-13951	12	5	(	(	PUNCT
aiti-13951	12	6	asd	asd	NOUN
aiti-13951	12	7	)	)	PUNCT
aiti-13951	12	8	is	be	AUX
aiti-13951	12	9	a	a	DET
aiti-13951	12	10	complex	complex	ADJ
aiti-13951	12	11	neurodevelopmental	neurodevelopmental	ADJ
aiti-13951	12	12	condition	condition	NOUN
aiti-13951	12	13	characterized	characterize	VERB
aiti-13951	12	14	by	by	ADP
aiti-13951	12	15	a	a	DET
aiti-13951	12	16	spectrum	spectrum	NOUN
aiti-13951	12	17	of	of	ADP
aiti-13951	12	18	challenges	challenge	NOUN
aiti-13951	12	19	,	,	PUNCT
aiti-13951	12	20	including	include	VERB
aiti-13951	12	21	difficulties	difficulty	NOUN
aiti-13951	12	22	in	in	ADP
aiti-13951	12	23	communication	communication	NOUN
aiti-13951	12	24	,	,	PUNCT
aiti-13951	12	25	response	response	NOUN
aiti-13951	12	26	,	,	PUNCT
aiti-13951	12	27	attention	attention	NOUN
aiti-13951	12	28	,	,	PUNCT
aiti-13951	12	29	social	social	ADJ
aiti-13951	12	30	behavior	behavior	NOUN
aiti-13951	12	31	,	,	PUNCT
aiti-13951	12	32	and	and	CCONJ
aiti-13951	12	33	repetitive	repetitive	ADJ
aiti-13951	12	34	activities	activity	NOUN
aiti-13951	12	35	[	[	X
aiti-13951	12	36	1	1	NUM
aiti-13951	12	37	-	-	SYM
aiti-13951	12	38	7	7	NUM
aiti-13951	12	39	]	]	PUNCT
aiti-13951	12	40	.	.	PUNCT
aiti-13951	13	1	beyond	beyond	ADP
aiti-13951	13	2	these	these	DET
aiti-13951	13	3	primary	primary	ADJ
aiti-13951	13	4	symptoms	symptom	NOUN
aiti-13951	13	5	,	,	PUNCT
aiti-13951	13	6	individuals	individual	NOUN
aiti-13951	13	7	with	with	ADP
aiti-13951	13	8	asd	asd	PROPN
aiti-13951	13	9	exhibit	exhibit	VERB
aiti-13951	13	10	atypical	atypical	ADJ
aiti-13951	13	11	neural	neural	ADJ
aiti-13951	13	12	activity	activity	NOUN
aiti-13951	13	13	patterns	pattern	NOUN
aiti-13951	13	14	[	[	X
aiti-13951	13	15	8	8	NUM
aiti-13951	13	16	]	]	PUNCT
aiti-13951	13	17	.	.	PUNCT
aiti-13951	14	1	diagnosing	diagnose	VERB
aiti-13951	14	2	autism	autism	NOUN
aiti-13951	14	3	presents	present	VERB
aiti-13951	14	4	complexity	complexity	NOUN
aiti-13951	14	5	owing	owe	VERB
aiti-13951	14	6	to	to	ADP
aiti-13951	14	7	its	its	PRON
aiti-13951	14	8	diverse	diverse	ADJ
aiti-13951	14	9	symptoms	symptom	NOUN
aiti-13951	14	10	and	and	CCONJ
aiti-13951	14	11	their	their	PRON
aiti-13951	14	12	varying	vary	VERB
aiti-13951	14	13	degrees	degree	NOUN
aiti-13951	14	14	among	among	ADP
aiti-13951	14	15	individuals	individual	NOUN
aiti-13951	14	16	[	[	X
aiti-13951	14	17	9	9	NUM
aiti-13951	14	18	]	]	PUNCT
aiti-13951	14	19	.	.	PUNCT
aiti-13951	15	1	early	early	ADJ
aiti-13951	15	2	detection	detection	NOUN
aiti-13951	15	3	and	and	CCONJ
aiti-13951	15	4	intervention	intervention	NOUN
aiti-13951	15	5	are	be	AUX
aiti-13951	15	6	crucial	crucial	ADJ
aiti-13951	15	7	for	for	ADP
aiti-13951	15	8	optimizing	optimize	VERB
aiti-13951	15	9	outcomes	outcome	NOUN
aiti-13951	15	10	and	and	CCONJ
aiti-13951	15	11	providing	provide	VERB
aiti-13951	15	12	appropriate	appropriate	ADJ
aiti-13951	15	13	support	support	NOUN
aiti-13951	15	14	for	for	ADP
aiti-13951	15	15	individuals	individual	NOUN
aiti-13951	15	16	with	with	ADP
aiti-13951	15	17	asd	asd	NOUN
aiti-13951	15	18	[	[	X
aiti-13951	15	19	10	10	NUM
aiti-13951	15	20	]	]	PUNCT
aiti-13951	15	21	.	.	PUNCT
aiti-13951	16	1	the	the	DET
aiti-13951	16	2	present	present	ADJ
aiti-13951	16	3	diagnostic	diagnostic	ADJ
aiti-13951	16	4	approach	approach	NOUN
aiti-13951	16	5	for	for	ADP
aiti-13951	16	6	asd	asd	PROPN
aiti-13951	16	7	predominantly	predominantly	ADV
aiti-13951	16	8	depends	depend	VERB
aiti-13951	16	9	on	on	ADP
aiti-13951	16	10	subjective	subjective	ADJ
aiti-13951	16	11	and	and	CCONJ
aiti-13951	16	12	time	time	NOUN
aiti-13951	16	13	-	-	PUNCT
aiti-13951	16	14	consuming	consume	VERB
aiti-13951	16	15	behavioral	behavioral	ADJ
aiti-13951	16	16	assessments	assessment	NOUN
aiti-13951	16	17	[	[	X
aiti-13951	16	18	11	11	NUM
aiti-13951	16	19	]	]	PUNCT
aiti-13951	16	20	.	.	PUNCT
aiti-13951	17	1	the	the	DET
aiti-13951	17	2	recent	recent	ADJ
aiti-13951	17	3	research	research	NOUN
aiti-13951	17	4	explores	explore	NOUN
aiti-13951	17	5	diverse	diverse	ADJ
aiti-13951	17	6	physiological	physiological	ADJ
aiti-13951	17	7	markers	marker	NOUN
aiti-13951	17	8	such	such	ADJ
aiti-13951	17	9	as	as	ADP
aiti-13951	17	10	eye	eye	NOUN
aiti-13951	17	11	tracking	tracking	NOUN
aiti-13951	17	12	,	,	PUNCT
aiti-13951	17	13	functional	functional	ADJ
aiti-13951	17	14	magnetic	magnetic	ADJ
aiti-13951	17	15	resonance	resonance	NOUN
aiti-13951	17	16	imaging	imaging	NOUN
aiti-13951	17	17	(	(	PUNCT
aiti-13951	17	18	fmri	fmri	ADJ
aiti-13951	17	19	)	)	PUNCT
aiti-13951	17	20	,	,	PUNCT
aiti-13951	17	21	and	and	CCONJ
aiti-13951	17	22	gait	gait	ADJ
aiti-13951	17	23	movements	movement	NOUN
aiti-13951	17	24	for	for	ADP
aiti-13951	17	25	identifying	identify	VERB
aiti-13951	17	26	patterns	pattern	NOUN
aiti-13951	17	27	to	to	PART
aiti-13951	17	28	facilitate	facilitate	VERB
aiti-13951	17	29	more	more	ADV
aiti-13951	17	30	accurate	accurate	ADJ
aiti-13951	17	31	early	early	ADJ
aiti-13951	17	32	diagnosis	diagnosis	NOUN
aiti-13951	17	33	of	of	ADP
aiti-13951	17	34	autism	autism	NOUN
aiti-13951	17	35	and	and	CCONJ
aiti-13951	17	36	improve	improve	VERB
aiti-13951	17	37	intervention	intervention	NOUN
aiti-13951	17	38	techniques	technique	NOUN
aiti-13951	18	1	[	[	X
aiti-13951	18	2	12	12	NUM
aiti-13951	18	3	-	-	SYM
aiti-13951	18	4	14	14	NUM
aiti-13951	18	5	]	]	PUNCT
aiti-13951	18	6	.	.	PUNCT
aiti-13951	19	1	another	another	DET
aiti-13951	19	2	promising	promising	ADJ
aiti-13951	19	3	avenue	avenue	NOUN
aiti-13951	19	4	in	in	ADP
aiti-13951	19	5	this	this	DET
aiti-13951	19	6	pursuit	pursuit	NOUN
aiti-13951	19	7	involves	involve	VERB
aiti-13951	19	8	analyzing	analyze	VERB
aiti-13951	19	9	electroencephalogram	electroencephalogram	NOUN
aiti-13951	19	10	(	(	PUNCT
aiti-13951	19	11	eeg	eeg	NOUN
aiti-13951	19	12	)	)	PUNCT
aiti-13951	19	13	data	datum	NOUN
aiti-13951	19	14	[	[	X
aiti-13951	19	15	15	15	NUM
aiti-13951	19	16	]	]	PUNCT
aiti-13951	19	17	.	.	PUNCT
aiti-13951	20	1	eeg	eeg	PROPN
aiti-13951	20	2	signals	signal	NOUN
aiti-13951	20	3	capture	capture	VERB
aiti-13951	20	4	subtle	subtle	ADJ
aiti-13951	20	5	electrical	electrical	ADJ
aiti-13951	20	6	fluctuations	fluctuation	NOUN
aiti-13951	20	7	in	in	ADP
aiti-13951	20	8	the	the	DET
aiti-13951	20	9	brain	brain	NOUN
aiti-13951	20	10	,	,	PUNCT
aiti-13951	20	11	presenting	present	VERB
aiti-13951	20	12	valuable	valuable	ADJ
aiti-13951	20	13	information	information	NOUN
aiti-13951	20	14	about	about	ADP
aiti-13951	20	15	neural	neural	ADJ
aiti-13951	20	16	responses	response	NOUN
aiti-13951	20	17	to	to	ADP
aiti-13951	20	18	various	various	ADJ
aiti-13951	20	19	stimuli	stimulus	NOUN
aiti-13951	20	20	[	[	X
aiti-13951	20	21	16	16	NUM
aiti-13951	20	22	]	]	PUNCT
aiti-13951	20	23	.	.	PUNCT
aiti-13951	21	1	eeg	eeg	PROPN
aiti-13951	21	2	data	datum	NOUN
aiti-13951	21	3	also	also	ADV
aiti-13951	21	4	provides	provide	VERB
aiti-13951	21	5	insights	insight	NOUN
aiti-13951	21	6	into	into	ADP
aiti-13951	21	7	brain	brain	NOUN
aiti-13951	21	8	function	function	NOUN
aiti-13951	21	9	and	and	CCONJ
aiti-13951	21	10	connectivity	connectivity	NOUN
aiti-13951	21	11	,	,	PUNCT
aiti-13951	21	12	offering	offer	VERB
aiti-13951	21	13	the	the	DET
aiti-13951	21	14	opportunity	opportunity	NOUN
aiti-13951	21	15	to	to	PART
aiti-13951	21	16	explore	explore	VERB
aiti-13951	21	17	neural	neural	ADJ
aiti-13951	21	18	processes	process	NOUN
aiti-13951	21	19	[	[	X
aiti-13951	21	20	17	17	NUM
aiti-13951	21	21	]	]	PUNCT
aiti-13951	21	22	.	.	PUNCT
aiti-13951	22	1	the	the	DET
aiti-13951	22	2	recognition	recognition	NOUN
aiti-13951	22	3	of	of	ADP
aiti-13951	22	4	atypical	atypical	ADJ
aiti-13951	22	5	neural	neural	ADJ
aiti-13951	22	6	activity	activity	NOUN
aiti-13951	22	7	in	in	ADP
aiti-13951	22	8	individuals	individual	NOUN
aiti-13951	22	9	with	with	ADP
aiti-13951	22	10	autism	autism	NOUN
aiti-13951	22	11	has	have	VERB
aiti-13951	22	12	interest	interest	NOUN
aiti-13951	22	13	in	in	ADP
aiti-13951	22	14	utilizing	utilize	VERB
aiti-13951	22	15	eeg	eeg	NOUN
aiti-13951	22	16	data	datum	NOUN
aiti-13951	22	17	as	as	ADP
aiti-13951	22	18	a	a	DET
aiti-13951	22	19	potential	potential	ADJ
aiti-13951	22	20	biomarker	biomarker	NOUN
aiti-13951	22	21	for	for	ADP
aiti-13951	22	22	asd	asd	NOUN
aiti-13951	22	23	[	[	X
aiti-13951	22	24	18	18	NUM
aiti-13951	22	25	]	]	PUNCT
aiti-13951	22	26	.	.	PUNCT
aiti-13951	23	1	recent	recent	ADJ
aiti-13951	23	2	advancements	advancement	NOUN
aiti-13951	23	3	in	in	ADP
aiti-13951	23	4	the	the	DET
aiti-13951	23	5	machine	machine	NOUN
aiti-13951	23	6	learning	learning	NOUN
aiti-13951	23	7	(	(	PUNCT
aiti-13951	23	8	ml	ml	NOUN
aiti-13951	23	9	)	)	PUNCT
aiti-13951	23	10	approach	approach	NOUN
aiti-13951	23	11	for	for	ADP
aiti-13951	23	12	eeg	eeg	NOUN
aiti-13951	23	13	analysis	analysis	NOUN
aiti-13951	23	14	have	have	AUX
aiti-13951	23	15	shown	show	VERB
aiti-13951	23	16	promise	promise	NOUN
aiti-13951	23	17	in	in	ADP
aiti-13951	23	18	addressing	address	VERB
aiti-13951	23	19	this	this	DET
aiti-13951	23	20	need	need	NOUN
aiti-13951	23	21	[	[	X
aiti-13951	23	22	19	19	NUM
aiti-13951	23	23	-	-	SYM
aiti-13951	23	24	21	21	NUM
aiti-13951	23	25	]	]	PUNCT
aiti-13951	23	26	.	.	PUNCT
aiti-13951	24	1	several	several	ADJ
aiti-13951	24	2	studies	study	NOUN
aiti-13951	24	3	have	have	AUX
aiti-13951	24	4	explored	explore	VERB
aiti-13951	24	5	the	the	DET
aiti-13951	24	6	use	use	NOUN
aiti-13951	24	7	of	of	ADP
aiti-13951	24	8	ml	ml	NOUN
aiti-13951	24	9	techniques	technique	NOUN
aiti-13951	24	10	to	to	PART
aiti-13951	24	11	analyze	analyze	VERB
aiti-13951	24	12	eeg	eeg	NOUN
aiti-13951	24	13	data	datum	NOUN
aiti-13951	24	14	for	for	ADP
aiti-13951	24	15	asd	asd	NOUN
aiti-13951	24	16	detection	detection	NOUN
aiti-13951	24	17	[	[	X
aiti-13951	24	18	22	22	NUM
aiti-13951	24	19	-	-	SYM
aiti-13951	24	20	24	24	NUM
aiti-13951	24	21	]	]	PUNCT
aiti-13951	24	22	.	.	PUNCT
aiti-13951	25	1	however	however	ADV
aiti-13951	25	2	,	,	PUNCT
aiti-13951	25	3	there	there	PRON
aiti-13951	25	4	is	be	VERB
aiti-13951	25	5	still	still	ADV
aiti-13951	25	6	a	a	DET
aiti-13951	25	7	need	need	NOUN
aiti-13951	25	8	for	for	ADP
aiti-13951	25	9	more	more	ADV
aiti-13951	25	10	comprehensive	comprehensive	ADJ
aiti-13951	25	11	studies	study	NOUN
aiti-13951	25	12	that	that	PRON
aiti-13951	25	13	explore	explore	VERB
aiti-13951	25	14	a	a	DET
aiti-13951	25	15	broader	broad	ADJ
aiti-13951	25	16	range	range	NOUN
aiti-13951	25	17	of	of	ADP
aiti-13951	25	18	neural	neural	ADJ
aiti-13951	25	19	network	network	NOUN
aiti-13951	25	20	(	(	PUNCT
aiti-13951	25	21	nn	nn	NOUN
aiti-13951	25	22	)	)	PUNCT
aiti-13951	25	23	models	model	NOUN
aiti-13951	25	24	and	and	CCONJ
aiti-13951	25	25	feature	feature	NOUN
aiti-13951	25	26	selections	selection	NOUN
aiti-13951	25	27	.	.	PUNCT
aiti-13951	26	1	*	*	PUNCT
aiti-13951	26	2	corresponding	correspond	VERB
aiti-13951	26	3	author	author	NOUN
aiti-13951	26	4	.	.	PUNCT
aiti-13951	27	1	e	e	X
aiti-13951	27	2	-	-	NOUN
aiti-13951	27	3	mail	mail	NOUN
aiti-13951	27	4	address	address	NOUN
aiti-13951	27	5	:	:	PUNCT
aiti-13951	27	6	nazmulcse10@gmail.com	nazmulcse10@gmail.com	X
aiti-13951	27	7	288	288	NUM
aiti-13951	27	8	advances	advance	NOUN
aiti-13951	27	9	in	in	ADP
aiti-13951	27	10	technology	technology	NOUN
aiti-13951	27	11	innovation	innovation	NOUN
aiti-13951	27	12	,	,	PUNCT
aiti-13951	27	13	vol	vol	NOUN
aiti-13951	27	14	.	.	PROPN
aiti-13951	27	15	9	9	NUM
aiti-13951	27	16	,	,	PUNCT
aiti-13951	27	17	no	no	INTJ
aiti-13951	27	18	.	.	NOUN
aiti-13951	27	19	4	4	NUM
aiti-13951	27	20	,	,	PUNCT
aiti-13951	27	21	2024	2024	NUM
aiti-13951	27	22	,	,	PUNCT
aiti-13951	27	23	pp	pp	ADJ
aiti-13951	27	24	.	.	PUNCT
aiti-13951	28	1	287	287	NUM
aiti-13951	28	2	-	-	SYM
aiti-13951	28	3	300	300	NUM
aiti-13951	28	4	this	this	DET
aiti-13951	28	5	study	study	NOUN
aiti-13951	28	6	aims	aim	VERB
aiti-13951	28	7	to	to	PART
aiti-13951	28	8	leverage	leverage	VERB
aiti-13951	28	9	this	this	DET
aiti-13951	28	10	promising	promise	VERB
aiti-13951	28	11	avenue	avenue	NOUN
aiti-13951	28	12	by	by	ADP
aiti-13951	28	13	exploring	explore	VERB
aiti-13951	28	14	eleven	eleven	NUM
aiti-13951	28	15	distinct	distinct	ADJ
aiti-13951	28	16	linear	linear	ADJ
aiti-13951	28	17	and	and	CCONJ
aiti-13951	28	18	non	non	ADJ
aiti-13951	28	19	-	-	ADJ
aiti-13951	28	20	linear	linear	ADJ
aiti-13951	28	21	features	feature	NOUN
aiti-13951	28	22	across	across	ADP
aiti-13951	28	23	time	time	NOUN
aiti-13951	28	24	and	and	CCONJ
aiti-13951	28	25	frequency	frequency	NOUN
aiti-13951	28	26	domains	domain	NOUN
aiti-13951	28	27	from	from	ADP
aiti-13951	28	28	eeg	eeg	PROPN
aiti-13951	28	29	data	datum	NOUN
aiti-13951	28	30	.	.	PUNCT
aiti-13951	29	1	by	by	ADP
aiti-13951	29	2	employing	employ	VERB
aiti-13951	29	3	four	four	NUM
aiti-13951	29	4	nn	nn	NOUN
aiti-13951	29	5	models	model	NOUN
aiti-13951	29	6	such	such	ADJ
aiti-13951	29	7	as	as	ADP
aiti-13951	29	8	a	a	DET
aiti-13951	29	9	convolutional	convolutional	ADJ
aiti-13951	29	10	neural	neural	ADJ
aiti-13951	29	11	network	network	NOUN
aiti-13951	29	12	(	(	PUNCT
aiti-13951	29	13	cnn	cnn	PROPN
aiti-13951	29	14	)	)	PUNCT
aiti-13951	29	15	,	,	PUNCT
aiti-13951	29	16	deep	deep	ADJ
aiti-13951	29	17	neural	neural	ADJ
aiti-13951	29	18	network	network	NOUN
aiti-13951	29	19	(	(	PUNCT
aiti-13951	29	20	dnn	dnn	PROPN
aiti-13951	29	21	)	)	PUNCT
aiti-13951	29	22	,	,	PUNCT
aiti-13951	29	23	long	long	ADJ
aiti-13951	29	24	short	short	ADJ
aiti-13951	29	25	-	-	PUNCT
aiti-13951	29	26	term	term	NOUN
aiti-13951	29	27	memory	memory	NOUN
aiti-13951	29	28	(	(	PUNCT
aiti-13951	29	29	lstm	lstm	NOUN
aiti-13951	29	30	)	)	PUNCT
aiti-13951	29	31	,	,	PUNCT
aiti-13951	29	32	and	and	CCONJ
aiti-13951	29	33	a	a	DET
aiti-13951	29	34	custom	custom	NOUN
aiti-13951	29	35	nn	nn	NOUN
aiti-13951	29	36	—	—	PUNCT
aiti-13951	29	37	this	this	DET
aiti-13951	29	38	research	research	NOUN
aiti-13951	29	39	seeks	seek	VERB
aiti-13951	29	40	to	to	PART
aiti-13951	29	41	enhance	enhance	VERB
aiti-13951	29	42	the	the	DET
aiti-13951	29	43	precision	precision	NOUN
aiti-13951	29	44	and	and	CCONJ
aiti-13951	29	45	early	early	ADJ
aiti-13951	29	46	detection	detection	NOUN
aiti-13951	29	47	of	of	ADP
aiti-13951	29	48	autism	autism	NOUN
aiti-13951	29	49	.	.	PUNCT
aiti-13951	30	1	the	the	DET
aiti-13951	30	2	performance	performance	NOUN
aiti-13951	30	3	of	of	ADP
aiti-13951	30	4	these	these	DET
aiti-13951	30	5	models	model	NOUN
aiti-13951	30	6	is	be	AUX
aiti-13951	30	7	evaluated	evaluate	VERB
aiti-13951	30	8	using	use	VERB
aiti-13951	30	9	accuracy	accuracy	NOUN
aiti-13951	30	10	,	,	PUNCT
aiti-13951	30	11	precision	precision	NOUN
aiti-13951	30	12	,	,	PUNCT
aiti-13951	30	13	recall	recall	NOUN
aiti-13951	30	14	,	,	PUNCT
aiti-13951	30	15	specificity	specificity	NOUN
aiti-13951	30	16	,	,	PUNCT
aiti-13951	30	17	and	and	CCONJ
aiti-13951	30	18	f1score	f1score	NOUN
aiti-13951	30	19	metrics	metric	NOUN
aiti-13951	30	20	.	.	PUNCT
aiti-13951	31	1	in	in	ADP
aiti-13951	31	2	this	this	DET
aiti-13951	31	3	study	study	NOUN
aiti-13951	31	4	,	,	PUNCT
aiti-13951	31	5	ml	ml	VERB
aiti-13951	31	6	-	-	PUNCT
aiti-13951	31	7	based	base	VERB
aiti-13951	31	8	nn	nn	PROPN
aiti-13951	31	9	is	be	AUX
aiti-13951	31	10	employed	employ	VERB
aiti-13951	31	11	to	to	PART
aiti-13951	31	12	classify	classify	VERB
aiti-13951	31	13	asd	asd	NOUN
aiti-13951	31	14	using	use	VERB
aiti-13951	31	15	eeg	eeg	PROPN
aiti-13951	31	16	signal	signal	NOUN
aiti-13951	31	17	analysis	analysis	NOUN
aiti-13951	31	18	.	.	PUNCT
aiti-13951	32	1	the	the	DET
aiti-13951	32	2	primary	primary	ADJ
aiti-13951	32	3	objective	objective	NOUN
aiti-13951	32	4	is	be	AUX
aiti-13951	32	5	to	to	PART
aiti-13951	32	6	implement	implement	VERB
aiti-13951	32	7	and	and	CCONJ
aiti-13951	32	8	evaluate	evaluate	VERB
aiti-13951	32	9	the	the	DET
aiti-13951	32	10	different	different	ADJ
aiti-13951	32	11	ml	ml	NOUN
aiti-13951	32	12	-	-	PUNCT
aiti-13951	32	13	based	base	VERB
aiti-13951	32	14	nn	nn	PROPN
aiti-13951	32	15	models	model	NOUN
aiti-13951	32	16	,	,	PUNCT
aiti-13951	32	17	including	include	VERB
aiti-13951	32	18	deep	deep	ADJ
aiti-13951	32	19	and	and	CCONJ
aiti-13951	32	20	custom	custom	ADV
aiti-13951	32	21	-	-	PUNCT
aiti-13951	32	22	designed	design	VERB
aiti-13951	32	23	nns	nn	NOUN
aiti-13951	32	24	,	,	PUNCT
aiti-13951	32	25	for	for	ADP
aiti-13951	32	26	accurately	accurately	ADV
aiti-13951	32	27	identifying	identify	VERB
aiti-13951	32	28	patterns	pattern	NOUN
aiti-13951	32	29	in	in	ADP
aiti-13951	32	30	eeg	eeg	PROPN
aiti-13951	32	31	data	datum	NOUN
aiti-13951	32	32	that	that	PRON
aiti-13951	32	33	are	be	AUX
aiti-13951	32	34	indicative	indicative	ADJ
aiti-13951	32	35	of	of	ADP
aiti-13951	32	36	asd	asd	PROPN
aiti-13951	32	37	.	.	PUNCT
aiti-13951	33	1	by	by	ADP
aiti-13951	33	2	focusing	focus	VERB
aiti-13951	33	3	solely	solely	ADV
aiti-13951	33	4	on	on	ADP
aiti-13951	33	5	eeg	eeg	PROPN
aiti-13951	33	6	data	datum	NOUN
aiti-13951	33	7	,	,	PUNCT
aiti-13951	33	8	the	the	DET
aiti-13951	33	9	study	study	NOUN
aiti-13951	33	10	of	of	ADP
aiti-13951	33	11	this	this	DET
aiti-13951	33	12	paper	paper	NOUN
aiti-13951	33	13	provides	provide	VERB
aiti-13951	33	14	a	a	DET
aiti-13951	33	15	comprehensive	comprehensive	ADJ
aiti-13951	33	16	understanding	understanding	NOUN
aiti-13951	33	17	of	of	ADP
aiti-13951	33	18	the	the	DET
aiti-13951	33	19	potential	potential	NOUN
aiti-13951	33	20	of	of	ADP
aiti-13951	33	21	eeg	eeg	NOUN
aiti-13951	33	22	-	-	PUNCT
aiti-13951	33	23	based	base	VERB
aiti-13951	33	24	biomarkers	biomarker	NOUN
aiti-13951	33	25	for	for	ADP
aiti-13951	33	26	autism	autism	NOUN
aiti-13951	33	27	detection	detection	NOUN
aiti-13951	33	28	.	.	PUNCT
aiti-13951	34	1	this	this	DET
aiti-13951	34	2	paper	paper	NOUN
aiti-13951	34	3	represents	represent	VERB
aiti-13951	34	4	a	a	DET
aiti-13951	34	5	significant	significant	ADJ
aiti-13951	34	6	contribution	contribution	NOUN
aiti-13951	34	7	by	by	ADP
aiti-13951	34	8	presenting	present	VERB
aiti-13951	34	9	highly	highly	ADV
aiti-13951	34	10	accurate	accurate	ADJ
aiti-13951	34	11	models	model	NOUN
aiti-13951	34	12	for	for	ADP
aiti-13951	34	13	identifying	identify	VERB
aiti-13951	34	14	asd	asd	NOUN
aiti-13951	34	15	solely	solely	ADV
aiti-13951	34	16	through	through	ADP
aiti-13951	34	17	eeg	eeg	PROPN
aiti-13951	34	18	signal	signal	NOUN
aiti-13951	34	19	analysis	analysis	NOUN
aiti-13951	34	20	.	.	PUNCT
aiti-13951	35	1	the	the	DET
aiti-13951	35	2	outcomes	outcome	NOUN
aiti-13951	35	3	of	of	ADP
aiti-13951	35	4	this	this	DET
aiti-13951	35	5	research	research	NOUN
aiti-13951	35	6	offer	offer	VERB
aiti-13951	35	7	potential	potential	ADJ
aiti-13951	35	8	tools	tool	NOUN
aiti-13951	35	9	for	for	ADP
aiti-13951	35	10	early	early	ADJ
aiti-13951	35	11	detection	detection	NOUN
aiti-13951	35	12	of	of	ADP
aiti-13951	35	13	autism	autism	NOUN
aiti-13951	35	14	,	,	PUNCT
aiti-13951	35	15	addressing	address	VERB
aiti-13951	35	16	a	a	DET
aiti-13951	35	17	critical	critical	ADJ
aiti-13951	35	18	need	need	NOUN
aiti-13951	35	19	in	in	ADP
aiti-13951	35	20	the	the	DET
aiti-13951	35	21	field	field	NOUN
aiti-13951	35	22	.	.	PUNCT
aiti-13951	36	1	furthermore	furthermore	ADV
aiti-13951	36	2	,	,	PUNCT
aiti-13951	36	3	this	this	DET
aiti-13951	36	4	analysis	analysis	NOUN
aiti-13951	36	5	enhances	enhance	VERB
aiti-13951	36	6	the	the	DET
aiti-13951	36	7	understanding	understanding	NOUN
aiti-13951	36	8	of	of	ADP
aiti-13951	36	9	the	the	DET
aiti-13951	36	10	neural	neural	ADJ
aiti-13951	36	11	characteristics	characteristic	NOUN
aiti-13951	36	12	associated	associate	VERB
aiti-13951	36	13	with	with	ADP
aiti-13951	36	14	asd	asd	NOUN
aiti-13951	36	15	and	and	CCONJ
aiti-13951	36	16	lays	lay	VERB
aiti-13951	36	17	the	the	DET
aiti-13951	36	18	groundwork	groundwork	NOUN
aiti-13951	36	19	for	for	ADP
aiti-13951	36	20	the	the	DET
aiti-13951	36	21	development	development	NOUN
aiti-13951	36	22	of	of	ADP
aiti-13951	36	23	targeted	target	VERB
aiti-13951	36	24	interventions	intervention	NOUN
aiti-13951	36	25	and	and	CCONJ
aiti-13951	36	26	therapies	therapy	NOUN
aiti-13951	36	27	.	.	PUNCT
aiti-13951	37	1	the	the	DET
aiti-13951	37	2	subsequent	subsequent	ADJ
aiti-13951	37	3	sections	section	NOUN
aiti-13951	37	4	of	of	ADP
aiti-13951	37	5	this	this	DET
aiti-13951	37	6	paper	paper	NOUN
aiti-13951	37	7	are	be	AUX
aiti-13951	37	8	structured	structure	VERB
aiti-13951	37	9	as	as	SCONJ
aiti-13951	37	10	follows	follow	VERB
aiti-13951	37	11	:	:	PUNCT
aiti-13951	37	12	section	section	NOUN
aiti-13951	37	13	2	2	NUM
aiti-13951	37	14	provides	provide	VERB
aiti-13951	37	15	an	an	DET
aiti-13951	37	16	overview	overview	NOUN
aiti-13951	37	17	of	of	ADP
aiti-13951	37	18	related	related	ADJ
aiti-13951	37	19	research	research	NOUN
aiti-13951	37	20	works	work	NOUN
aiti-13951	37	21	in	in	ADP
aiti-13951	37	22	the	the	DET
aiti-13951	37	23	field	field	NOUN
aiti-13951	37	24	of	of	ADP
aiti-13951	37	25	eeg	eeg	NOUN
aiti-13951	37	26	-	-	PUNCT
aiti-13951	37	27	based	base	VERB
aiti-13951	37	28	autism	autism	NOUN
aiti-13951	37	29	detection	detection	NOUN
aiti-13951	37	30	.	.	PUNCT
aiti-13951	38	1	section	section	NOUN
aiti-13951	38	2	3	3	NUM
aiti-13951	38	3	presents	present	VERB
aiti-13951	38	4	the	the	DET
aiti-13951	38	5	methodology	methodology	NOUN
aiti-13951	38	6	for	for	ADP
aiti-13951	38	7	the	the	DET
aiti-13951	38	8	study	study	NOUN
aiti-13951	38	9	of	of	ADP
aiti-13951	38	10	this	this	DET
aiti-13951	38	11	paper	paper	NOUN
aiti-13951	38	12	,	,	PUNCT
aiti-13951	38	13	including	include	VERB
aiti-13951	38	14	the	the	DET
aiti-13951	38	15	dataset	dataset	NOUN
aiti-13951	38	16	and	and	CCONJ
aiti-13951	38	17	extracted	extract	VERB
aiti-13951	38	18	features	feature	NOUN
aiti-13951	38	19	.	.	PUNCT
aiti-13951	39	1	section	section	NOUN
aiti-13951	39	2	4	4	NUM
aiti-13951	39	3	presents	present	VERB
aiti-13951	39	4	the	the	DET
aiti-13951	39	5	nn	nn	PROPN
aiti-13951	39	6	models	model	NOUN
aiti-13951	39	7	employed	employ	VERB
aiti-13951	39	8	in	in	ADP
aiti-13951	39	9	this	this	DET
aiti-13951	39	10	study	study	NOUN
aiti-13951	39	11	.	.	PUNCT
aiti-13951	40	1	section	section	NOUN
aiti-13951	40	2	5	5	NUM
aiti-13951	40	3	presents	present	VERB
aiti-13951	40	4	the	the	DET
aiti-13951	40	5	results	result	NOUN
aiti-13951	40	6	of	of	ADP
aiti-13951	40	7	this	this	DET
aiti-13951	40	8	study	study	NOUN
aiti-13951	40	9	.	.	PUNCT
aiti-13951	41	1	finally	finally	ADV
aiti-13951	41	2	,	,	PUNCT
aiti-13951	41	3	section	section	NOUN
aiti-13951	41	4	6	6	NUM
aiti-13951	41	5	provides	provide	VERB
aiti-13951	41	6	a	a	DET
aiti-13951	41	7	discussion	discussion	NOUN
aiti-13951	41	8	and	and	CCONJ
aiti-13951	41	9	conclusion	conclusion	NOUN
aiti-13951	41	10	on	on	ADP
aiti-13951	41	11	the	the	DET
aiti-13951	41	12	findings	finding	NOUN
aiti-13951	41	13	of	of	ADP
aiti-13951	41	14	this	this	DET
aiti-13951	41	15	study	study	NOUN
aiti-13951	41	16	.	.	PUNCT
aiti-13951	42	1	2	2	X
aiti-13951	42	2	.	.	X
aiti-13951	42	3	related	relate	VERB
aiti-13951	42	4	works	work	NOUN
aiti-13951	42	5	extensive	extensive	ADJ
aiti-13951	42	6	research	research	NOUN
aiti-13951	42	7	has	have	AUX
aiti-13951	42	8	been	be	AUX
aiti-13951	42	9	dedicated	dedicate	VERB
aiti-13951	42	10	to	to	ADP
aiti-13951	42	11	the	the	DET
aiti-13951	42	12	analysis	analysis	NOUN
aiti-13951	42	13	of	of	ADP
aiti-13951	42	14	eeg	eeg	NOUN
aiti-13951	42	15	signals	signal	NOUN
aiti-13951	42	16	for	for	ADP
aiti-13951	42	17	autism	autism	NOUN
aiti-13951	42	18	detection	detection	NOUN
aiti-13951	42	19	.	.	PUNCT
aiti-13951	43	1	some	some	PRON
aiti-13951	43	2	of	of	ADP
aiti-13951	43	3	the	the	DET
aiti-13951	43	4	key	key	ADJ
aiti-13951	43	5	findings	finding	NOUN
aiti-13951	43	6	in	in	ADP
aiti-13951	43	7	current	current	ADJ
aiti-13951	43	8	research	research	NOUN
aiti-13951	43	9	on	on	ADP
aiti-13951	43	10	autism	autism	NOUN
aiti-13951	43	11	detection	detection	NOUN
aiti-13951	43	12	through	through	ADP
aiti-13951	43	13	eeg	eeg	NOUN
aiti-13951	43	14	signals	signal	NOUN
aiti-13951	43	15	using	use	VERB
aiti-13951	43	16	ml	ml	NOUN
aiti-13951	43	17	are	be	AUX
aiti-13951	43	18	highlighted	highlight	VERB
aiti-13951	43	19	in	in	ADP
aiti-13951	43	20	this	this	DET
aiti-13951	43	21	section	section	NOUN
aiti-13951	43	22	.	.	PUNCT
aiti-13951	44	1	table	table	NOUN
aiti-13951	44	2	1	1	NUM
aiti-13951	44	3	provides	provide	VERB
aiti-13951	44	4	a	a	DET
aiti-13951	44	5	comprehensive	comprehensive	ADJ
aiti-13951	44	6	summary	summary	NOUN
aiti-13951	44	7	of	of	ADP
aiti-13951	44	8	research	research	NOUN
aiti-13951	44	9	on	on	ADP
aiti-13951	44	10	eeg	eeg	NOUN
aiti-13951	44	11	analysis	analysis	NOUN
aiti-13951	44	12	for	for	ADP
aiti-13951	44	13	autism	autism	NOUN
aiti-13951	44	14	detection	detection	NOUN
aiti-13951	44	15	using	use	VERB
aiti-13951	44	16	various	various	ADJ
aiti-13951	44	17	ml	ml	NOUN
aiti-13951	44	18	approaches	approach	NOUN
aiti-13951	44	19	.	.	PUNCT
aiti-13951	45	1	table	table	NOUN
aiti-13951	45	2	1	1	NUM
aiti-13951	45	3	highlights	highlight	NOUN
aiti-13951	45	4	and	and	CCONJ
aiti-13951	45	5	comparison	comparison	NOUN
aiti-13951	45	6	of	of	ADP
aiti-13951	45	7	the	the	DET
aiti-13951	45	8	existing	exist	VERB
aiti-13951	45	9	research	research	NOUN
aiti-13951	45	10	works	work	NOUN
aiti-13951	45	11	reference	reference	NOUN
aiti-13951	45	12	publicati	publicati	NOUN
aiti-13951	45	13	on	on	ADP
aiti-13951	45	14	year	year	NOUN
aiti-13951	45	15	ml	ml	ADP
aiti-13951	45	16	approaches	approach	NOUN
aiti-13951	45	17	extracted	extract	VERB
aiti-13951	45	18	features	feature	VERB
aiti-13951	45	19	participants	participant	NOUN
aiti-13951	45	20	asd	asd	PROPN
aiti-13951	45	21	/	/	SYM
aiti-13951	45	22	td	td	NOUN
aiti-13951	45	23	classificatio	classificatio	NOUN
aiti-13951	45	24	n	n	PRON
aiti-13951	45	25	accuracy	accuracy	NOUN
aiti-13951	45	26	heunis	heunis	PROPN
aiti-13951	45	27	et	et	PROPN
aiti-13951	45	28	al	al	PROPN
aiti-13951	45	29	.	.	PUNCT
aiti-13951	46	1	[	[	X
aiti-13951	46	2	19	19	NUM
aiti-13951	46	3	]	]	SYM
aiti-13951	46	4	2018	2018	NUM
aiti-13951	46	5	lda	lda	PROPN
aiti-13951	46	6	,	,	PUNCT
aiti-13951	46	7	mlp	mlp	NOUN
aiti-13951	46	8	,	,	PUNCT
aiti-13951	46	9	and	and	CCONJ
aiti-13951	46	10	svm	svm	VERB
aiti-13951	46	11	rqa	rqa	VERB
aiti-13951	46	12	16/46	16/46	NUM
aiti-13951	46	13	92.9	92.9	NUM
aiti-13951	46	14	%	%	NOUN
aiti-13951	46	15	haputhanthri	haputhanthri	PROPN
aiti-13951	46	16	et	et	PROPN
aiti-13951	46	17	al	al	PROPN
aiti-13951	46	18	.	.	PUNCT
aiti-13951	47	1	[	[	X
aiti-13951	47	2	20	20	NUM
aiti-13951	47	3	]	]	SYM
aiti-13951	47	4	2019	2019	NUM
aiti-13951	47	5	lr	lr	NOUN
aiti-13951	47	6	,	,	PUNCT
aiti-13951	47	7	svm	svm	PROPN
aiti-13951	47	8	,	,	PUNCT
aiti-13951	47	9	nb	nb	INTJ
aiti-13951	47	10	,	,	PUNCT
aiti-13951	47	11	and	and	CCONJ
aiti-13951	47	12	rf	rf	PRON
aiti-13951	47	13	statistical	statistical	ADJ
aiti-13951	47	14	features	feature	NOUN
aiti-13951	47	15	(	(	PUNCT
aiti-13951	47	16	mean	mean	ADJ
aiti-13951	47	17	and	and	CCONJ
aiti-13951	47	18	standard	standard	ADJ
aiti-13951	47	19	deviation	deviation	NOUN
aiti-13951	47	20	)	)	PUNCT
aiti-13951	47	21	10/5	10/5	NUM
aiti-13951	47	22	93	93	NUM
aiti-13951	47	23	%	%	NOUN
aiti-13951	47	24	abdolzadegan	abdolzadegan	VERB
aiti-13951	47	25	et	et	PROPN
aiti-13951	47	26	al	al	PROPN
aiti-13951	47	27	.	.	PUNCT
aiti-13951	48	1	[	[	X
aiti-13951	48	2	21	21	NUM
aiti-13951	48	3	]	]	SYM
aiti-13951	48	4	2020	2020	NUM
aiti-13951	48	5	knn	knn	PROPN
aiti-13951	48	6	power	power	PROPN
aiti-13951	48	7	spectrum	spectrum	PROPN
aiti-13951	48	8	,	,	PUNCT
aiti-13951	48	9	wavelet	wavelet	NOUN
aiti-13951	48	10	transform	transform	NOUN
aiti-13951	48	11	,	,	PUNCT
aiti-13951	48	12	fft	fft	PROPN
aiti-13951	48	13	,	,	PUNCT
aiti-13951	48	14	fractal	fractal	ADJ
aiti-13951	48	15	dimension	dimension	NOUN
aiti-13951	48	16	,	,	PUNCT
aiti-13951	48	17	correlation	correlation	NOUN
aiti-13951	48	18	dimension	dimension	NOUN
aiti-13951	48	19	,	,	PUNCT
aiti-13951	48	20	lyapunov	lyapunov	NOUN
aiti-13951	48	21	exponent	exponent	NOUN
aiti-13951	48	22	,	,	PUNCT
aiti-13951	48	23	entropy	entropy	PROPN
aiti-13951	48	24	,	,	PUNCT
aiti-13951	48	25	detrended	detrende	VERB
aiti-13951	48	26	fluctuation	fluctuation	NOUN
aiti-13951	48	27	analysis	analysis	NOUN
aiti-13951	48	28	,	,	PUNCT
aiti-13951	48	29	synchronization	synchronization	NOUN
aiti-13951	48	30	likelihood	likelihood	NOUN
aiti-13951	48	31	34/11	34/11	NUM
aiti-13951	48	32	72.77	72.77	NUM
aiti-13951	48	33	%	%	NOUN
aiti-13951	48	34	svm	svm	PROPN
aiti-13951	48	35	90.57	90.57	NUM
aiti-13951	48	36	%	%	NOUN
aiti-13951	48	37	radhakrishnan	radhakrishnan	PROPN
aiti-13951	48	38	et	et	PROPN
aiti-13951	48	39	al	al	PROPN
aiti-13951	48	40	.	.	PUNCT
aiti-13951	49	1	[	[	X
aiti-13951	49	2	22	22	NUM
aiti-13951	49	3	]	]	SYM
aiti-13951	49	4	2021	2021	NUM
aiti-13951	49	5	dnn	dnn	PROPN
aiti-13951	49	6	automatic	automatic	ADJ
aiti-13951	49	7	feature	feature	NOUN
aiti-13951	49	8	extraction	extraction	NOUN
aiti-13951	49	9	and	and	CCONJ
aiti-13951	49	10	classification	classification	NOUN
aiti-13951	49	11	10/10	10/10	NUM
aiti-13951	49	12	81	81	NUM
aiti-13951	49	13	%	%	NOUN
aiti-13951	49	14	garcés	garcés	NOUN
aiti-13951	49	15	et	et	PROPN
aiti-13951	49	16	al	al	PROPN
aiti-13951	49	17	.	.	PUNCT
aiti-13951	50	1	[	[	X
aiti-13951	50	2	23	23	NUM
aiti-13951	50	3	]	]	SYM
aiti-13951	50	4	2022	2022	NUM
aiti-13951	50	5	linear	linear	NOUN
aiti-13951	50	6	support	support	NOUN
aiti-13951	50	7	vector	vector	NOUN
aiti-13951	50	8	classifier	classifier	NOUN
aiti-13951	50	9	(	(	PUNCT
aiti-13951	50	10	svc	svc	PROPN
aiti-13951	50	11	)	)	PUNCT
aiti-13951	50	12	,	,	PUNCT
aiti-13951	50	13	elastic	elastic	ADJ
aiti-13951	50	14	net	net	ADJ
aiti-13951	50	15	lr	lr	NOUN
aiti-13951	50	16	,	,	PUNCT
aiti-13951	50	17	radial	radial	ADJ
aiti-13951	50	18	basis	basis	NOUN
aiti-13951	50	19	function	function	NOUN
aiti-13951	50	20	svc	svc	PROPN
aiti-13951	50	21	power	power	NOUN
aiti-13951	50	22	spectrum	spectrum	NOUN
aiti-13951	50	23	and	and	CCONJ
aiti-13951	50	24	functional	functional	ADJ
aiti-13951	50	25	connectivity	connectivity	NOUN
aiti-13951	50	26	212/199	212/199	NUM
aiti-13951	50	27	56	56	NUM
aiti-13951	50	28	%	%	NOUN
aiti-13951	50	29	to	to	PART
aiti-13951	50	30	64	64	NUM
aiti-13951	50	31	%	%	NOUN
aiti-13951	50	32	peketi	peketi	ADJ
aiti-13951	50	33	and	and	CCONJ
aiti-13951	50	34	dhok	dhok	NOUN
aiti-13951	50	35	[	[	X
aiti-13951	50	36	24	24	NUM
aiti-13951	50	37	]	]	PUNCT
aiti-13951	50	38	2023	2023	NUM
aiti-13951	50	39	ebt	ebt	PROPN
aiti-13951	50	40	,	,	PUNCT
aiti-13951	50	41	svm	svm	VERB
aiti-13951	50	42	with	with	ADP
aiti-13951	50	43	a	a	DET
aiti-13951	50	44	fine	fine	ADJ
aiti-13951	50	45	gaussian	gaussian	ADJ
aiti-13951	50	46	kernel	kernel	NOUN
aiti-13951	50	47	,	,	PUNCT
aiti-13951	50	48	and	and	CCONJ
aiti-13951	50	49	artificial	artificial	ADJ
aiti-13951	50	50	neural	neural	ADJ
aiti-13951	50	51	network	network	NOUN
aiti-13951	50	52	(	(	PUNCT
aiti-13951	50	53	ann	ann	PROPN
aiti-13951	50	54	)	)	PUNCT
aiti-13951	50	55	linear	linear	PROPN
aiti-13951	50	56	and	and	CCONJ
aiti-13951	50	57	non	non	ADJ
aiti-13951	50	58	-	-	ADJ
aiti-13951	50	59	linear	linear	ADJ
aiti-13951	50	60	features	feature	NOUN
aiti-13951	50	61	across	across	ADP
aiti-13951	50	62	time	time	NOUN
aiti-13951	50	63	and	and	CCONJ
aiti-13951	50	64	frequency	frequency	NOUN
aiti-13951	50	65	domains	domain	NOUN
aiti-13951	50	66	15/0	15/0	NUM
aiti-13951	50	67	91.12	91.12	NUM
aiti-13951	50	68	%	%	NOUN
aiti-13951	50	69	this	this	DET
aiti-13951	50	70	study	study	NOUN
aiti-13951	50	71	2023	2023	NUM
aiti-13951	50	72	cnn	cnn	PROPN
aiti-13951	51	1	linear	linear	PROPN
aiti-13951	51	2	and	and	CCONJ
aiti-13951	51	3	non	non	ADJ
aiti-13951	51	4	-	-	ADJ
aiti-13951	51	5	linear	linear	ADJ
aiti-13951	51	6	features	feature	NOUN
aiti-13951	51	7	across	across	ADP
aiti-13951	51	8	time	time	NOUN
aiti-13951	51	9	and	and	CCONJ
aiti-13951	51	10	frequency	frequency	NOUN
aiti-13951	51	11	domains	domain	NOUN
aiti-13951	51	12	13/4	13/4	NUM
aiti-13951	51	13	89.02	89.02	NUM
aiti-13951	51	14	%	%	NOUN
aiti-13951	51	15	dnn	dnn	PROPN
aiti-13951	51	16	91.98	91.98	NUM
aiti-13951	51	17	%	%	NOUN
aiti-13951	51	18	lstm	lstm	NOUN
aiti-13951	51	19	93.83	93.83	NUM
aiti-13951	51	20	%	%	NOUN
aiti-13951	51	21	custom	custom	NOUN
aiti-13951	51	22	nn	nn	PROPN
aiti-13951	51	23	94.02	94.02	NUM
aiti-13951	51	24	%	%	NOUN
aiti-13951	51	25	the	the	DET
aiti-13951	51	26	existing	exist	VERB
aiti-13951	51	27	studies	study	NOUN
aiti-13951	51	28	employed	employ	VERB
aiti-13951	51	29	diverse	diverse	ADJ
aiti-13951	51	30	approaches	approach	NOUN
aiti-13951	51	31	including	include	VERB
aiti-13951	51	32	linear	linear	ADJ
aiti-13951	51	33	discriminant	discriminant	ADJ
aiti-13951	51	34	analysis	analysis	NOUN
aiti-13951	51	35	(	(	PUNCT
aiti-13951	51	36	lda	lda	PROPN
aiti-13951	51	37	)	)	PUNCT
aiti-13951	51	38	,	,	PUNCT
aiti-13951	51	39	multi	multi	ADJ
aiti-13951	51	40	-	-	ADJ
aiti-13951	51	41	layer	layer	ADJ
aiti-13951	51	42	perceptron	perceptron	NOUN
aiti-13951	51	43	(	(	PUNCT
aiti-13951	51	44	mlp	mlp	PROPN
aiti-13951	51	45	)	)	PUNCT
aiti-13951	51	46	,	,	PUNCT
aiti-13951	51	47	support	support	NOUN
aiti-13951	51	48	vector	vector	NOUN
aiti-13951	51	49	machine	machine	NOUN
aiti-13951	51	50	(	(	PUNCT
aiti-13951	51	51	svm	svm	PROPN
aiti-13951	51	52	)	)	PUNCT
aiti-13951	51	53	,	,	PUNCT
aiti-13951	51	54	logistic	logistic	ADJ
aiti-13951	51	55	regression	regression	NOUN
aiti-13951	51	56	(	(	PUNCT
aiti-13951	51	57	lr	lr	NOUN
aiti-13951	51	58	)	)	PUNCT
aiti-13951	51	59	,	,	PUNCT
aiti-13951	51	60	naive	naive	ADJ
aiti-13951	51	61	bayes	bayes	NOUN
aiti-13951	51	62	(	(	PUNCT
aiti-13951	51	63	nb	nb	NOUN
aiti-13951	51	64	)	)	PUNCT
aiti-13951	51	65	,	,	PUNCT
aiti-13951	51	66	random	random	ADJ
aiti-13951	51	67	forest	forest	NOUN
aiti-13951	51	68	(	(	PUNCT
aiti-13951	51	69	rf	rf	NOUN
aiti-13951	51	70	)	)	PUNCT
aiti-13951	51	71	,	,	PUNCT
aiti-13951	51	72	k	k	X
aiti-13951	51	73	-	-	PUNCT
aiti-13951	51	74	nearest	near	ADJ
aiti-13951	51	75	neighbor	neighbor	NOUN
aiti-13951	51	76	(	(	PUNCT
aiti-13951	51	77	knn	knn	PROPN
aiti-13951	51	78	)	)	PUNCT
aiti-13951	51	79	,	,	PUNCT
aiti-13951	51	80	dnn	dnn	PROPN
aiti-13951	51	81	,	,	PUNCT
aiti-13951	51	82	and	and	CCONJ
aiti-13951	51	83	ensemble	ensemble	ADJ
aiti-13951	51	84	bagged	bagged	ADJ
aiti-13951	51	85	tree	tree	NOUN
aiti-13951	51	86	(	(	PUNCT
aiti-13951	51	87	ebt	ebt	PROPN
aiti-13951	51	88	)	)	PUNCT
aiti-13951	52	1	[	[	X
aiti-13951	52	2	19	19	NUM
aiti-13951	52	3	-	-	SYM
aiti-13951	52	4	24	24	NUM
aiti-13951	52	5	]	]	PUNCT
aiti-13951	52	6	.	.	PUNCT
aiti-13951	53	1	feature	feature	NOUN
aiti-13951	53	2	extraction	extraction	NOUN
aiti-13951	53	3	techniques	technique	NOUN
aiti-13951	53	4	encompassed	encompass	VERB
aiti-13951	53	5	recurrence	recurrence	NOUN
aiti-13951	53	6	quantification	quantification	NOUN
aiti-13951	53	7	advances	advance	NOUN
aiti-13951	53	8	in	in	ADP
aiti-13951	53	9	technology	technology	NOUN
aiti-13951	53	10	innovation	innovation	NOUN
aiti-13951	53	11	,	,	PUNCT
aiti-13951	53	12	vol	vol	NOUN
aiti-13951	53	13	.	.	PROPN
aiti-13951	54	1	9	9	NUM
aiti-13951	54	2	,	,	PUNCT
aiti-13951	54	3	no	no	INTJ
aiti-13951	54	4	.	.	NOUN
aiti-13951	54	5	4	4	NUM
aiti-13951	54	6	,	,	PUNCT
aiti-13951	54	7	2024	2024	NUM
aiti-13951	54	8	,	,	PUNCT
aiti-13951	54	9	pp	pp	ADJ
aiti-13951	54	10	.	.	PUNCT
aiti-13951	55	1	287	287	NUM
aiti-13951	55	2	-	-	SYM
aiti-13951	55	3	300	300	NUM
aiti-13951	55	4	289	289	NUM
aiti-13951	55	5	analysis	analysis	NOUN
aiti-13951	55	6	(	(	PUNCT
aiti-13951	55	7	rqa	rqa	NOUN
aiti-13951	55	8	)	)	PUNCT
aiti-13951	55	9	,	,	PUNCT
aiti-13951	55	10	statistical	statistical	ADJ
aiti-13951	55	11	features	feature	NOUN
aiti-13951	55	12	,	,	PUNCT
aiti-13951	55	13	power	power	NOUN
aiti-13951	55	14	spectrum	spectrum	NOUN
aiti-13951	55	15	analysis	analysis	NOUN
aiti-13951	55	16	,	,	PUNCT
aiti-13951	55	17	wavelet	wavelet	NOUN
aiti-13951	55	18	transforms	transform	VERB
aiti-13951	55	19	,	,	PUNCT
aiti-13951	55	20	fast	fast	ADJ
aiti-13951	55	21	fourier	fourier	NOUN
aiti-13951	55	22	transform	transform	NOUN
aiti-13951	55	23	(	(	PUNCT
aiti-13951	55	24	fft	fft	PROPN
aiti-13951	55	25	)	)	PUNCT
aiti-13951	55	26	,	,	PUNCT
aiti-13951	55	27	fractal	fractal	ADJ
aiti-13951	55	28	dimension	dimension	NOUN
aiti-13951	55	29	,	,	PUNCT
aiti-13951	55	30	correlation	correlation	NOUN
aiti-13951	55	31	dimension	dimension	NOUN
aiti-13951	55	32	,	,	PUNCT
aiti-13951	55	33	lyapunov	lyapunov	NOUN
aiti-13951	55	34	exponent	exponent	NOUN
aiti-13951	55	35	,	,	PUNCT
aiti-13951	55	36	entropy	entropy	PROPN
aiti-13951	55	37	,	,	PUNCT
aiti-13951	55	38	detrended	detrende	VERB
aiti-13951	55	39	fluctuation	fluctuation	NOUN
aiti-13951	55	40	analysis	analysis	NOUN
aiti-13951	55	41	,	,	PUNCT
aiti-13951	55	42	synchronization	synchronization	NOUN
aiti-13951	55	43	likelihood	likelihood	NOUN
aiti-13951	55	44	,	,	PUNCT
aiti-13951	55	45	linear	linear	ADJ
aiti-13951	55	46	and	and	CCONJ
aiti-13951	55	47	non	non	ADJ
aiti-13951	55	48	-	-	ADJ
aiti-13951	55	49	linear	linear	ADJ
aiti-13951	55	50	features	feature	NOUN
aiti-13951	55	51	across	across	ADP
aiti-13951	55	52	time	time	NOUN
aiti-13951	55	53	and	and	CCONJ
aiti-13951	55	54	frequency	frequency	NOUN
aiti-13951	55	55	domains	domain	NOUN
aiti-13951	55	56	[	[	PUNCT
aiti-13951	55	57	19	19	NUM
aiti-13951	55	58	-	-	SYM
aiti-13951	55	59	24	24	NUM
aiti-13951	55	60	]	]	PUNCT
aiti-13951	55	61	.	.	PUNCT
aiti-13951	56	1	classification	classification	NOUN
aiti-13951	56	2	accuracy	accuracy	NOUN
aiti-13951	56	3	across	across	ADP
aiti-13951	56	4	these	these	DET
aiti-13951	56	5	studies	study	NOUN
aiti-13951	56	6	ranged	range	VERB
aiti-13951	56	7	from	from	ADP
aiti-13951	56	8	56	56	NUM
aiti-13951	56	9	%	%	NOUN
aiti-13951	56	10	to	to	ADP
aiti-13951	56	11	93	93	NUM
aiti-13951	56	12	%	%	NOUN
aiti-13951	56	13	,	,	PUNCT
aiti-13951	56	14	showcasing	showcase	VERB
aiti-13951	56	15	the	the	DET
aiti-13951	56	16	potential	potential	NOUN
aiti-13951	56	17	of	of	ADP
aiti-13951	56	18	ml	ml	NOUN
aiti-13951	56	19	in	in	ADP
aiti-13951	56	20	accurately	accurately	ADV
aiti-13951	56	21	discerning	discern	VERB
aiti-13951	56	22	asd	asd	NOUN
aiti-13951	56	23	patterns	pattern	NOUN
aiti-13951	56	24	from	from	ADP
aiti-13951	56	25	typically	typically	ADV
aiti-13951	56	26	developing	develop	VERB
aiti-13951	56	27	(	(	PUNCT
aiti-13951	56	28	td	td	NOUN
aiti-13951	56	29	)	)	PUNCT
aiti-13951	56	30	individuals	individual	NOUN
aiti-13951	56	31	,	,	PUNCT
aiti-13951	56	32	thereby	thereby	ADV
aiti-13951	56	33	contributing	contribute	VERB
aiti-13951	56	34	to	to	ADP
aiti-13951	56	35	the	the	DET
aiti-13951	56	36	development	development	NOUN
aiti-13951	56	37	of	of	ADP
aiti-13951	56	38	effective	effective	ADJ
aiti-13951	56	39	diagnostic	diagnostic	ADJ
aiti-13951	56	40	tools	tool	NOUN
aiti-13951	56	41	and	and	CCONJ
aiti-13951	56	42	interventions	intervention	NOUN
aiti-13951	56	43	[	[	PUNCT
aiti-13951	56	44	19	19	NUM
aiti-13951	56	45	-	-	SYM
aiti-13951	56	46	24	24	NUM
aiti-13951	56	47	]	]	PUNCT
aiti-13951	56	48	.	.	PUNCT
aiti-13951	57	1	this	this	DET
aiti-13951	57	2	study	study	NOUN
aiti-13951	57	3	is	be	AUX
aiti-13951	57	4	distinct	distinct	ADJ
aiti-13951	57	5	from	from	ADP
aiti-13951	57	6	earlier	early	ADJ
aiti-13951	57	7	research	research	NOUN
aiti-13951	57	8	in	in	ADP
aiti-13951	57	9	its	its	PRON
aiti-13951	57	10	eleven	eleven	NUM
aiti-13951	57	11	time	time	NOUN
aiti-13951	57	12	and	and	CCONJ
aiti-13951	57	13	frequency	frequency	NOUN
aiti-13951	57	14	domain	domain	NOUN
aiti-13951	57	15	features	feature	VERB
aiti-13951	57	16	selection	selection	NOUN
aiti-13951	57	17	in	in	ADP
aiti-13951	57	18	distinguishing	distinguish	VERB
aiti-13951	57	19	between	between	ADP
aiti-13951	57	20	eeg	eeg	NOUN
aiti-13951	57	21	patterns	pattern	NOUN
aiti-13951	57	22	associated	associate	VERB
aiti-13951	57	23	with	with	ADP
aiti-13951	57	24	td	td	NOUN
aiti-13951	57	25	and	and	CCONJ
aiti-13951	57	26	individuals	individual	NOUN
aiti-13951	57	27	with	with	ADP
aiti-13951	57	28	asd	asd	PROPN
aiti-13951	57	29	.	.	PUNCT
aiti-13951	58	1	this	this	DET
aiti-13951	58	2	elevated	elevated	ADJ
aiti-13951	58	3	level	level	NOUN
aiti-13951	58	4	of	of	ADP
aiti-13951	58	5	accuracy	accuracy	NOUN
aiti-13951	58	6	highlights	highlight	NOUN
aiti-13951	58	7	the	the	DET
aiti-13951	58	8	study	study	NOUN
aiti-13951	58	9	’s	’s	PART
aiti-13951	58	10	importance	importance	NOUN
aiti-13951	58	11	as	as	SCONJ
aiti-13951	58	12	it	it	PRON
aiti-13951	58	13	offers	offer	VERB
aiti-13951	58	14	a	a	DET
aiti-13951	58	15	more	more	ADV
aiti-13951	58	16	precise	precise	ADJ
aiti-13951	58	17	and	and	CCONJ
aiti-13951	58	18	dependable	dependable	ADJ
aiti-13951	58	19	tool	tool	NOUN
aiti-13951	58	20	for	for	ADP
aiti-13951	58	21	the	the	DET
aiti-13951	58	22	early	early	ADJ
aiti-13951	58	23	detection	detection	NOUN
aiti-13951	58	24	of	of	ADP
aiti-13951	58	25	autism	autism	NOUN
aiti-13951	58	26	.	.	PUNCT
aiti-13951	59	1	these	these	DET
aiti-13951	59	2	results	result	NOUN
aiti-13951	59	3	hold	hold	VERB
aiti-13951	59	4	significant	significant	ADJ
aiti-13951	59	5	promise	promise	NOUN
aiti-13951	59	6	for	for	ADP
aiti-13951	59	7	contributing	contribute	VERB
aiti-13951	59	8	substantially	substantially	ADV
aiti-13951	59	9	to	to	ADP
aiti-13951	59	10	both	both	PRON
aiti-13951	59	11	autism	autism	NOUN
aiti-13951	59	12	research	research	NOUN
aiti-13951	59	13	and	and	CCONJ
aiti-13951	59	14	clinical	clinical	ADJ
aiti-13951	59	15	applications	application	NOUN
aiti-13951	59	16	.	.	PUNCT
aiti-13951	60	1	3	3	X
aiti-13951	60	2	.	.	X
aiti-13951	60	3	methodology	methodology	NOUN
aiti-13951	60	4	this	this	DET
aiti-13951	60	5	section	section	NOUN
aiti-13951	60	6	details	detail	VERB
aiti-13951	60	7	the	the	DET
aiti-13951	60	8	approach	approach	NOUN
aiti-13951	60	9	taken	take	VERB
aiti-13951	60	10	in	in	ADP
aiti-13951	60	11	this	this	DET
aiti-13951	60	12	research	research	NOUN
aiti-13951	60	13	to	to	PART
aiti-13951	60	14	analyze	analyze	VERB
aiti-13951	60	15	eeg	eeg	NOUN
aiti-13951	60	16	data	datum	NOUN
aiti-13951	60	17	from	from	ADP
aiti-13951	60	18	children	child	NOUN
aiti-13951	60	19	diagnosed	diagnose	VERB
aiti-13951	60	20	with	with	ADP
aiti-13951	60	21	asd	asd	NOUN
aiti-13951	60	22	and	and	CCONJ
aiti-13951	60	23	td	td	NOUN
aiti-13951	60	24	.	.	PUNCT
aiti-13951	61	1	this	this	DET
aiti-13951	61	2	study	study	NOUN
aiti-13951	61	3	utilizes	utilize	VERB
aiti-13951	61	4	the	the	DET
aiti-13951	61	5	global	global	ADJ
aiti-13951	61	6	datasets	dataset	NOUN
aiti-13951	61	7	for	for	ADP
aiti-13951	61	8	autism	autism	NOUN
aiti-13951	61	9	disorder	disorder	NOUN
aiti-13951	61	10	,	,	PUNCT
aiti-13951	61	11	which	which	PRON
aiti-13951	61	12	includes	include	VERB
aiti-13951	61	13	high	high	ADJ
aiti-13951	61	14	-	-	PUNCT
aiti-13951	61	15	quality	quality	NOUN
aiti-13951	61	16	eeg	eeg	NOUN
aiti-13951	61	17	recordings	recording	NOUN
aiti-13951	61	18	obtained	obtain	VERB
aiti-13951	61	19	under	under	ADP
aiti-13951	61	20	controlled	control	VERB
aiti-13951	61	21	conditions	condition	NOUN
aiti-13951	61	22	,	,	PUNCT
aiti-13951	61	23	ensuring	ensure	VERB
aiti-13951	61	24	reliability	reliability	NOUN
aiti-13951	61	25	in	in	ADP
aiti-13951	61	26	the	the	DET
aiti-13951	61	27	data	datum	NOUN
aiti-13951	61	28	.	.	PUNCT
aiti-13951	62	1	a	a	DET
aiti-13951	62	2	detailed	detailed	ADJ
aiti-13951	62	3	feature	feature	NOUN
aiti-13951	62	4	extraction	extraction	NOUN
aiti-13951	62	5	process	process	NOUN
aiti-13951	62	6	is	be	AUX
aiti-13951	62	7	conducted	conduct	VERB
aiti-13951	62	8	to	to	PART
aiti-13951	62	9	derive	derive	VERB
aiti-13951	62	10	both	both	CCONJ
aiti-13951	62	11	timedomain	timedomain	ADJ
aiti-13951	62	12	and	and	CCONJ
aiti-13951	62	13	frequency	frequency	NOUN
aiti-13951	62	14	-	-	PUNCT
aiti-13951	62	15	domain	domain	NOUN
aiti-13951	62	16	characteristics	characteristic	NOUN
aiti-13951	62	17	,	,	PUNCT
aiti-13951	62	18	providing	provide	VERB
aiti-13951	62	19	a	a	DET
aiti-13951	62	20	comprehensive	comprehensive	ADJ
aiti-13951	62	21	understanding	understanding	NOUN
aiti-13951	62	22	of	of	ADP
aiti-13951	62	23	the	the	DET
aiti-13951	62	24	underlying	underlie	VERB
aiti-13951	62	25	neural	neural	ADJ
aiti-13951	62	26	patterns	pattern	NOUN
aiti-13951	62	27	.	.	PUNCT
aiti-13951	63	1	by	by	ADP
aiti-13951	63	2	integrating	integrate	VERB
aiti-13951	63	3	these	these	DET
aiti-13951	63	4	features	feature	NOUN
aiti-13951	63	5	,	,	PUNCT
aiti-13951	63	6	the	the	DET
aiti-13951	63	7	study	study	NOUN
aiti-13951	63	8	aims	aim	VERB
aiti-13951	63	9	to	to	PART
aiti-13951	63	10	effectively	effectively	ADV
aiti-13951	63	11	differentiate	differentiate	VERB
aiti-13951	63	12	between	between	ADP
aiti-13951	63	13	the	the	DET
aiti-13951	63	14	two	two	NUM
aiti-13951	63	15	groups	group	NOUN
aiti-13951	63	16	using	use	VERB
aiti-13951	63	17	ml	ml	NOUN
aiti-13951	63	18	models	model	NOUN
aiti-13951	63	19	.	.	PUNCT
aiti-13951	64	1	3.1	3.1	NUM
aiti-13951	64	2	.	.	PUNCT
aiti-13951	65	1	dataset	dataset	NOUN
aiti-13951	65	2	overview	overview	VERB
aiti-13951	65	3	the	the	DET
aiti-13951	65	4	dataset	dataset	NOUN
aiti-13951	65	5	utilized	utilize	VERB
aiti-13951	65	6	in	in	ADP
aiti-13951	65	7	this	this	DET
aiti-13951	65	8	research	research	NOUN
aiti-13951	65	9	,	,	PUNCT
aiti-13951	65	10	known	know	VERB
aiti-13951	65	11	as	as	ADP
aiti-13951	65	12	the	the	DET
aiti-13951	65	13	global	global	ADJ
aiti-13951	65	14	datasets	dataset	NOUN
aiti-13951	65	15	for	for	ADP
aiti-13951	65	16	autism	autism	NOUN
aiti-13951	65	17	disorder	disorder	NOUN
aiti-13951	65	18	,	,	PUNCT
aiti-13951	65	19	is	be	AUX
aiti-13951	65	20	obtained	obtain	VERB
aiti-13951	65	21	from	from	ADP
aiti-13951	65	22	the	the	DET
aiti-13951	65	23	brain	brain	NOUN
aiti-13951	65	24	-	-	PUNCT
aiti-13951	65	25	computer	computer	NOUN
aiti-13951	65	26	interface	interface	NOUN
aiti-13951	65	27	(	(	PUNCT
aiti-13951	65	28	bci	bci	NOUN
aiti-13951	65	29	)	)	PUNCT
aiti-13951	65	30	group	group	NOUN
aiti-13951	65	31	at	at	ADP
aiti-13951	65	32	king	king	PROPN
aiti-13951	65	33	abdulaziz	abdulaziz	PROPN
aiti-13951	65	34	university	university	PROPN
aiti-13951	65	35	(	(	PUNCT
aiti-13951	65	36	kau	kau	PROPN
aiti-13951	65	37	)	)	PUNCT
aiti-13951	65	38	with	with	ADP
aiti-13951	65	39	the	the	DET
aiti-13951	65	40	necessary	necessary	ADJ
aiti-13951	65	41	permissions	permission	NOUN
aiti-13951	65	42	for	for	ADP
aiti-13951	65	43	this	this	DET
aiti-13951	65	44	study	study	NOUN
aiti-13951	65	45	[	[	X
aiti-13951	65	46	25	25	NUM
aiti-13951	65	47	]	]	PUNCT
aiti-13951	65	48	.	.	PUNCT
aiti-13951	66	1	comprising	comprise	VERB
aiti-13951	66	2	eeg	eeg	NOUN
aiti-13951	66	3	recordings	recording	NOUN
aiti-13951	66	4	from	from	ADP
aiti-13951	66	5	two	two	NUM
aiti-13951	66	6	distinct	distinct	ADJ
aiti-13951	66	7	groups	group	NOUN
aiti-13951	66	8	,	,	PUNCT
aiti-13951	66	9	the	the	DET
aiti-13951	66	10	dataset	dataset	NOUN
aiti-13951	66	11	includes	include	VERB
aiti-13951	66	12	thirteen	thirteen	NUM
aiti-13951	66	13	boys	boy	NOUN
aiti-13951	66	14	,	,	PUNCT
aiti-13951	66	15	aged	age	VERB
aiti-13951	66	16	10	10	NUM
aiti-13951	66	17	to	to	PART
aiti-13951	66	18	16	16	NUM
aiti-13951	66	19	years	year	NOUN
aiti-13951	66	20	,	,	PUNCT
aiti-13951	66	21	diagnosed	diagnose	VERB
aiti-13951	66	22	with	with	ADP
aiti-13951	66	23	asd	asd	NOUN
aiti-13951	66	24	in	in	ADP
aiti-13951	66	25	the	the	DET
aiti-13951	66	26	first	first	ADJ
aiti-13951	66	27	group	group	NOUN
aiti-13951	66	28	.	.	PUNCT
aiti-13951	67	1	the	the	DET
aiti-13951	67	2	second	second	ADJ
aiti-13951	67	3	group	group	NOUN
aiti-13951	67	4	consists	consist	VERB
aiti-13951	67	5	of	of	ADP
aiti-13951	67	6	four	four	NUM
aiti-13951	67	7	td	td	NOUN
aiti-13951	67	8	boys	boy	NOUN
aiti-13951	67	9	,	,	PUNCT
aiti-13951	67	10	aged	age	VERB
aiti-13951	67	11	9	9	NUM
aiti-13951	67	12	to	to	PART
aiti-13951	67	13	16	16	NUM
aiti-13951	67	14	years	year	NOUN
aiti-13951	67	15	.	.	PUNCT
aiti-13951	68	1	the	the	DET
aiti-13951	68	2	eeg	eeg	NOUN
aiti-13951	68	3	signals	signal	NOUN
aiti-13951	68	4	were	be	AUX
aiti-13951	68	5	recorded	record	VERB
aiti-13951	68	6	during	during	ADP
aiti-13951	68	7	participants	participant	NOUN
aiti-13951	68	8	’	'	PUNCT
aiti-13951	68	9	relaxed	relax	VERB
aiti-13951	68	10	states	state	NOUN
aiti-13951	68	11	to	to	PART
aiti-13951	68	12	ensure	ensure	VERB
aiti-13951	68	13	artifact	artifact	ADJ
aiti-13951	68	14	-	-	PUNCT
aiti-13951	68	15	free	free	ADJ
aiti-13951	68	16	data	datum	NOUN
aiti-13951	68	17	,	,	PUNCT
aiti-13951	68	18	using	use	VERB
aiti-13951	68	19	the	the	DET
aiti-13951	68	20	g.tec	g.tec	ADJ
aiti-13951	68	21	eegcap	eegcap	NOUN
aiti-13951	68	22	,	,	PUNCT
aiti-13951	68	23	16	16	NUM
aiti-13951	68	24	ag	ag	PROPN
aiti-13951	68	25	/	/	SYM
aiti-13951	68	26	agcl	agcl	NOUN
aiti-13951	68	27	electrodes	electrode	NOUN
aiti-13951	68	28	,	,	PUNCT
aiti-13951	68	29	g.tec	g.tec	ADJ
aiti-13951	68	30	gammabox	gammabox	NOUN
aiti-13951	68	31	,	,	PUNCT
aiti-13951	68	32	g.tec	g.tec	ADJ
aiti-13951	68	33	usbamp	usbamp	NOUN
aiti-13951	68	34	,	,	PUNCT
aiti-13951	68	35	and	and	CCONJ
aiti-13951	68	36	bci2000	bci2000	ADJ
aiti-13951	68	37	system	system	NOUN
aiti-13951	68	38	.	.	PUNCT
aiti-13951	69	1	the	the	DET
aiti-13951	69	2	eeg	eeg	PROPN
aiti-13951	69	3	data	datum	NOUN
aiti-13951	69	4	were	be	AUX
aiti-13951	69	5	acquired	acquire	VERB
aiti-13951	69	6	from	from	ADP
aiti-13951	69	7	16	16	NUM
aiti-13951	69	8	electrodes	electrode	NOUN
aiti-13951	69	9	,	,	PUNCT
aiti-13951	69	10	including	include	VERB
aiti-13951	69	11	fp1	fp1	PROPN
aiti-13951	69	12	,	,	PUNCT
aiti-13951	69	13	fp2	fp2	PROPN
aiti-13951	69	14	,	,	PUNCT
aiti-13951	69	15	f7	f7	PROPN
aiti-13951	69	16	,	,	PUNCT
aiti-13951	69	17	f3	f3	PROPN
aiti-13951	69	18	,	,	PUNCT
aiti-13951	69	19	fz	fz	NOUN
aiti-13951	69	20	,	,	PUNCT
aiti-13951	69	21	f4	f4	PROPN
aiti-13951	69	22	,	,	PUNCT
aiti-13951	69	23	f8	f8	PROPN
aiti-13951	69	24	,	,	PUNCT
aiti-13951	69	25	t3	t3	PROPN
aiti-13951	69	26	,	,	PUNCT
aiti-13951	69	27	c4	c4	NOUN
aiti-13951	69	28	,	,	PUNCT
aiti-13951	69	29	cz	cz	NOUN
aiti-13951	69	30	,	,	PUNCT
aiti-13951	69	31	c3	c3	PROPN
aiti-13951	69	32	,	,	PUNCT
aiti-13951	69	33	t5	t5	PROPN
aiti-13951	69	34	,	,	PUNCT
aiti-13951	69	35	pz	pz	PROPN
aiti-13951	69	36	,	,	PUNCT
aiti-13951	69	37	o1	o1	NOUN
aiti-13951	69	38	,	,	PUNCT
aiti-13951	69	39	oz	oz	NOUN
aiti-13951	69	40	,	,	PUNCT
aiti-13951	69	41	and	and	CCONJ
aiti-13951	69	42	o2	o2	PROPN
aiti-13951	69	43	according	accord	VERB
aiti-13951	69	44	to	to	ADP
aiti-13951	69	45	the	the	DET
aiti-13951	69	46	10	10	NUM
aiti-13951	69	47	-	-	SYM
aiti-13951	69	48	20	20	NUM
aiti-13951	69	49	international	international	ADJ
aiti-13951	69	50	system	system	NOUN
aiti-13951	69	51	.	.	PUNCT
aiti-13951	70	1	the	the	DET
aiti-13951	70	2	anterior	anterior	ADJ
aiti-13951	70	3	frontal	frontal	ADJ
aiti-13951	70	4	z	z	X
aiti-13951	70	5	(	(	PUNCT
aiti-13951	70	6	afz	afz	NOUN
aiti-13951	70	7	)	)	PUNCT
aiti-13951	70	8	electrode	electrode	NOUN
aiti-13951	70	9	served	serve	VERB
aiti-13951	70	10	as	as	ADP
aiti-13951	70	11	ground	ground	NOUN
aiti-13951	70	12	(	(	PUNCT
aiti-13951	70	13	gnd	gnd	PROPN
aiti-13951	70	14	)	)	PUNCT
aiti-13951	70	15	,	,	PUNCT
aiti-13951	70	16	while	while	SCONJ
aiti-13951	70	17	the	the	DET
aiti-13951	70	18	right	right	ADJ
aiti-13951	70	19	ear	ear	NOUN
aiti-13951	70	20	lobe	lobe	VERB
aiti-13951	70	21	was	be	AUX
aiti-13951	70	22	used	use	VERB
aiti-13951	70	23	as	as	ADP
aiti-13951	70	24	reference	reference	NOUN
aiti-13951	70	25	(	(	PUNCT
aiti-13951	70	26	ref	ref	NOUN
aiti-13951	70	27	)	)	PUNCT
aiti-13951	70	28	.	.	PUNCT
aiti-13951	71	1	the	the	DET
aiti-13951	71	2	recorded	record	VERB
aiti-13951	71	3	data	datum	NOUN
aiti-13951	71	4	were	be	AUX
aiti-13951	71	5	filtered	filter	VERB
aiti-13951	71	6	using	use	VERB
aiti-13951	71	7	a	a	DET
aiti-13951	71	8	bandpass	bandpass	NOUN
aiti-13951	71	9	filter	filter	NOUN
aiti-13951	71	10	within	within	ADP
aiti-13951	71	11	the	the	DET
aiti-13951	71	12	frequency	frequency	ADJ
aiti-13951	71	13	range	range	NOUN
aiti-13951	71	14	of	of	ADP
aiti-13951	71	15	0.1	0.1	NUM
aiti-13951	71	16	-	-	SYM
aiti-13951	71	17	60	60	NUM
aiti-13951	71	18	hz	hz	VERB
aiti-13951	71	19	and	and	CCONJ
aiti-13951	71	20	a	a	DET
aiti-13951	71	21	notch	notch	ADJ
aiti-13951	71	22	filter	filter	NOUN
aiti-13951	71	23	at	at	ADP
aiti-13951	71	24	60	60	NUM
aiti-13951	71	25	hz	hz	VERB
aiti-13951	71	26	,	,	PUNCT
aiti-13951	71	27	subsequently	subsequently	ADV
aiti-13951	71	28	digitized	digitize	VERB
aiti-13951	71	29	at	at	ADP
aiti-13951	71	30	256	256	NUM
aiti-13951	71	31	hz	hz	NOUN
aiti-13951	71	32	.	.	PUNCT
aiti-13951	72	1	this	this	DET
aiti-13951	72	2	dataset	dataset	NOUN
aiti-13951	72	3	is	be	AUX
aiti-13951	72	4	chosen	choose	VERB
aiti-13951	72	5	for	for	ADP
aiti-13951	72	6	its	its	PRON
aiti-13951	72	7	comprehensive	comprehensive	ADJ
aiti-13951	72	8	and	and	CCONJ
aiti-13951	72	9	controlled	control	VERB
aiti-13951	72	10	acquisition	acquisition	NOUN
aiti-13951	72	11	method	method	NOUN
aiti-13951	72	12	,	,	PUNCT
aiti-13951	72	13	providing	provide	VERB
aiti-13951	72	14	high	high	ADJ
aiti-13951	72	15	-	-	PUNCT
aiti-13951	72	16	quality	quality	NOUN
aiti-13951	72	17	,	,	PUNCT
aiti-13951	72	18	reliable	reliable	ADJ
aiti-13951	72	19	eeg	eeg	NOUN
aiti-13951	72	20	data	datum	NOUN
aiti-13951	72	21	crucial	crucial	ADJ
aiti-13951	72	22	for	for	ADP
aiti-13951	72	23	distinguishing	distinguish	VERB
aiti-13951	72	24	between	between	ADP
aiti-13951	72	25	asd	asd	NOUN
aiti-13951	72	26	and	and	CCONJ
aiti-13951	72	27	td	td	NOUN
aiti-13951	72	28	children	child	NOUN
aiti-13951	72	29	.	.	PUNCT
aiti-13951	73	1	initially	initially	ADV
aiti-13951	73	2	,	,	PUNCT
aiti-13951	73	3	the	the	DET
aiti-13951	73	4	data	data	NOUN
aiti-13951	73	5	is	be	AUX
aiti-13951	73	6	segmented	segment	VERB
aiti-13951	73	7	into	into	ADP
aiti-13951	73	8	fixed	fix	VERB
aiti-13951	73	9	-	-	PUNCT
aiti-13951	73	10	length	length	NOUN
aiti-13951	73	11	epochs	epoch	NOUN
aiti-13951	73	12	,	,	PUNCT
aiti-13951	73	13	and	and	CCONJ
aiti-13951	73	14	any	any	DET
aiti-13951	73	15	null	null	ADJ
aiti-13951	73	16	values	value	NOUN
aiti-13951	73	17	are	be	AUX
aiti-13951	73	18	removed	remove	VERB
aiti-13951	73	19	to	to	PART
aiti-13951	73	20	ensure	ensure	VERB
aiti-13951	73	21	accurate	accurate	ADJ
aiti-13951	73	22	feature	feature	NOUN
aiti-13951	73	23	extraction	extraction	NOUN
aiti-13951	73	24	.	.	PUNCT
aiti-13951	74	1	the	the	DET
aiti-13951	74	2	total	total	ADJ
aiti-13951	74	3	number	number	NOUN
aiti-13951	74	4	of	of	ADP
aiti-13951	74	5	epochs	epoch	NOUN
aiti-13951	74	6	in	in	ADP
aiti-13951	74	7	the	the	DET
aiti-13951	74	8	dataset	dataset	NOUN
aiti-13951	74	9	for	for	ADP
aiti-13951	74	10	initial	initial	ADJ
aiti-13951	74	11	and	and	CCONJ
aiti-13951	74	12	after	after	ADP
aiti-13951	74	13	preprocessing	preprocesse	VERB
aiti-13951	74	14	are	be	AUX
aiti-13951	74	15	5437	5437	NUM
aiti-13951	74	16	and	and	CCONJ
aiti-13951	74	17	5402	5402	NUM
aiti-13951	74	18	respectively	respectively	ADV
aiti-13951	74	19	,	,	PUNCT
aiti-13951	74	20	and	and	CCONJ
aiti-13951	74	21	their	their	PRON
aiti-13951	74	22	distribution	distribution	NOUN
aiti-13951	74	23	between	between	ADP
aiti-13951	74	24	the	the	DET
aiti-13951	74	25	training	training	NOUN
aiti-13951	74	26	and	and	CCONJ
aiti-13951	74	27	testing	testing	NOUN
aiti-13951	74	28	sets	set	NOUN
aiti-13951	74	29	are	be	AUX
aiti-13951	74	30	4321	4321	NUM
aiti-13951	74	31	and	and	CCONJ
aiti-13951	74	32	1081	1081	NUM
aiti-13951	74	33	respectively	respectively	ADV
aiti-13951	74	34	.	.	PUNCT
aiti-13951	75	1	this	this	DET
aiti-13951	75	2	information	information	NOUN
aiti-13951	75	3	is	be	AUX
aiti-13951	75	4	crucial	crucial	ADJ
aiti-13951	75	5	for	for	ADP
aiti-13951	75	6	understanding	understand	VERB
aiti-13951	75	7	the	the	DET
aiti-13951	75	8	dataset	dataset	NOUN
aiti-13951	75	9	’s	’s	PART
aiti-13951	75	10	overall	overall	ADJ
aiti-13951	75	11	size	size	NOUN
aiti-13951	75	12	and	and	CCONJ
aiti-13951	75	13	composition	composition	NOUN
aiti-13951	75	14	,	,	PUNCT
aiti-13951	75	15	which	which	PRON
aiti-13951	75	16	is	be	AUX
aiti-13951	75	17	important	important	ADJ
aiti-13951	75	18	for	for	ADP
aiti-13951	75	19	ensuring	ensure	VERB
aiti-13951	75	20	the	the	DET
aiti-13951	75	21	accuracy	accuracy	NOUN
aiti-13951	75	22	and	and	CCONJ
aiti-13951	75	23	generalizability	generalizability	NOUN
aiti-13951	75	24	of	of	ADP
aiti-13951	75	25	any	any	DET
aiti-13951	75	26	nn	nn	PROPN
aiti-13951	75	27	models	model	NOUN
aiti-13951	75	28	trained	train	VERB
aiti-13951	75	29	on	on	ADP
aiti-13951	75	30	it	it	PRON
aiti-13951	75	31	.	.	PUNCT
aiti-13951	76	1	additionally	additionally	ADV
aiti-13951	76	2	,	,	PUNCT
aiti-13951	76	3	understanding	understand	VERB
aiti-13951	76	4	the	the	DET
aiti-13951	76	5	distribution	distribution	NOUN
aiti-13951	76	6	of	of	ADP
aiti-13951	76	7	epochs	epoch	NOUN
aiti-13951	76	8	in	in	ADP
aiti-13951	76	9	the	the	DET
aiti-13951	76	10	training	training	NOUN
aiti-13951	76	11	and	and	CCONJ
aiti-13951	76	12	testing	testing	NOUN
aiti-13951	76	13	sets	set	NOUN
aiti-13951	76	14	helps	helps	AUX
aiti-13951	76	15	identify	identify	VERB
aiti-13951	76	16	any	any	DET
aiti-13951	76	17	potential	potential	ADJ
aiti-13951	76	18	biases	bias	NOUN
aiti-13951	76	19	or	or	CCONJ
aiti-13951	76	20	imbalances	imbalance	NOUN
aiti-13951	76	21	in	in	ADP
aiti-13951	76	22	the	the	DET
aiti-13951	76	23	data	datum	NOUN
aiti-13951	76	24	.	.	PUNCT
aiti-13951	77	1	3.2	3.2	NUM
aiti-13951	77	2	.	.	PUNCT
aiti-13951	77	3	extracted	extract	VERB
aiti-13951	77	4	features	feature	VERB
aiti-13951	77	5	the	the	DET
aiti-13951	77	6	study	study	NOUN
aiti-13951	77	7	explores	explore	VERB
aiti-13951	77	8	eleven	eleven	NUM
aiti-13951	77	9	distinct	distinct	ADJ
aiti-13951	77	10	linear	linear	ADJ
aiti-13951	77	11	and	and	CCONJ
aiti-13951	77	12	non	non	ADJ
aiti-13951	77	13	-	-	ADJ
aiti-13951	77	14	linear	linear	ADJ
aiti-13951	77	15	features	feature	NOUN
aiti-13951	77	16	across	across	ADP
aiti-13951	77	17	time	time	NOUN
aiti-13951	77	18	and	and	CCONJ
aiti-13951	77	19	frequency	frequency	NOUN
aiti-13951	77	20	domains	domain	NOUN
aiti-13951	77	21	from	from	ADP
aiti-13951	77	22	an	an	DET
aiti-13951	77	23	eeg	eeg	NOUN
aiti-13951	77	24	dataset	dataset	NOUN
aiti-13951	77	25	utilizing	utilize	VERB
aiti-13951	77	26	ml	ml	NOUN
aiti-13951	77	27	-	-	PUNCT
aiti-13951	77	28	based	base	VERB
aiti-13951	77	29	nn	nn	PROPN
aiti-13951	77	30	models	model	NOUN
aiti-13951	77	31	.	.	PUNCT
aiti-13951	78	1	these	these	DET
aiti-13951	78	2	features	feature	NOUN
aiti-13951	78	3	encompass	encompass	VERB
aiti-13951	78	4	a	a	DET
aiti-13951	78	5	variety	variety	NOUN
aiti-13951	78	6	of	of	ADP
aiti-13951	78	7	statistical	statistical	ADJ
aiti-13951	78	8	,	,	PUNCT
aiti-13951	78	9	spectral	spectral	ADJ
aiti-13951	78	10	,	,	PUNCT
aiti-13951	78	11	and	and	CCONJ
aiti-13951	78	12	signal	signal	ADJ
aiti-13951	78	13	processing	processing	NOUN
aiti-13951	78	14	measures	measure	NOUN
aiti-13951	78	15	,	,	PUNCT
aiti-13951	78	16	contributing	contribute	VERB
aiti-13951	78	17	to	to	ADP
aiti-13951	78	18	the	the	DET
aiti-13951	78	19	analysis	analysis	NOUN
aiti-13951	78	20	and	and	CCONJ
aiti-13951	78	21	interpretation	interpretation	NOUN
aiti-13951	78	22	of	of	ADP
aiti-13951	78	23	eeg	eeg	PROPN
aiti-13951	78	24	data	data	PROPN
aiti-13951	78	25	.	.	PUNCT
aiti-13951	79	1	out	out	ADP
aiti-13951	79	2	of	of	ADP
aiti-13951	79	3	eleven	eleven	NUM
aiti-13951	79	4	features	feature	NOUN
aiti-13951	79	5	,	,	PUNCT
aiti-13951	79	6	six	six	NUM
aiti-13951	79	7	are	be	AUX
aiti-13951	79	8	time	time	NOUN
aiti-13951	79	9	domain	domain	NOUN
aiti-13951	79	10	and	and	CCONJ
aiti-13951	79	11	five	five	NUM
aiti-13951	79	12	are	be	AUX
aiti-13951	79	13	frequency	frequency	NOUN
aiti-13951	79	14	domain	domain	NOUN
aiti-13951	79	15	features	feature	NOUN
aiti-13951	79	16	.	.	PUNCT
aiti-13951	80	1	the	the	DET
aiti-13951	80	2	explored	explore	VERB
aiti-13951	80	3	features	feature	NOUN
aiti-13951	80	4	are	be	AUX
aiti-13951	80	5	discussed	discuss	VERB
aiti-13951	80	6	below	below	ADV
aiti-13951	80	7	.	.	PUNCT
aiti-13951	81	1	290	290	NUM
aiti-13951	81	2	advances	advance	NOUN
aiti-13951	81	3	in	in	ADP
aiti-13951	81	4	technology	technology	NOUN
aiti-13951	81	5	innovation	innovation	NOUN
aiti-13951	81	6	,	,	PUNCT
aiti-13951	81	7	vol	vol	NOUN
aiti-13951	81	8	.	.	PROPN
aiti-13951	81	9	9	9	NUM
aiti-13951	81	10	,	,	PUNCT
aiti-13951	81	11	no	no	INTJ
aiti-13951	81	12	.	.	NOUN
aiti-13951	81	13	4	4	NUM
aiti-13951	81	14	,	,	PUNCT
aiti-13951	81	15	2024	2024	NUM
aiti-13951	81	16	,	,	PUNCT
aiti-13951	81	17	pp	pp	ADJ
aiti-13951	81	18	.	.	PUNCT
aiti-13951	82	1	287	287	NUM
aiti-13951	82	2	-	-	SYM
aiti-13951	82	3	300	300	NUM
aiti-13951	82	4	mean	mean	NOUN
aiti-13951	82	5	:	:	PUNCT
aiti-13951	82	6	the	the	DET
aiti-13951	82	7	mean	mean	NOUN
aiti-13951	82	8	is	be	AUX
aiti-13951	82	9	a	a	DET
aiti-13951	82	10	statistical	statistical	ADJ
aiti-13951	82	11	measure	measure	NOUN
aiti-13951	82	12	that	that	PRON
aiti-13951	82	13	represents	represent	VERB
aiti-13951	82	14	the	the	DET
aiti-13951	82	15	average	average	ADJ
aiti-13951	82	16	value	value	NOUN
aiti-13951	82	17	of	of	ADP
aiti-13951	82	18	a	a	DET
aiti-13951	82	19	set	set	NOUN
aiti-13951	82	20	of	of	ADP
aiti-13951	82	21	numbers	number	NOUN
aiti-13951	82	22	or	or	CCONJ
aiti-13951	82	23	data	datum	NOUN
aiti-13951	82	24	points	point	NOUN
aiti-13951	82	25	.	.	PUNCT
aiti-13951	83	1	the	the	DET
aiti-13951	83	2	mean	mean	NOUN
aiti-13951	83	3	is	be	AUX
aiti-13951	83	4	computed	compute	VERB
aiti-13951	83	5	mathematically	mathematically	ADV
aiti-13951	83	6	by	by	ADP
aiti-13951	83	7	adding	add	VERB
aiti-13951	83	8	all	all	PRON
aiti-13951	83	9	of	of	ADP
aiti-13951	83	10	the	the	DET
aiti-13951	83	11	values	value	NOUN
aiti-13951	83	12	in	in	ADP
aiti-13951	83	13	the	the	DET
aiti-13951	83	14	dataset	dataset	NOUN
aiti-13951	83	15	and	and	CCONJ
aiti-13951	83	16	dividing	divide	VERB
aiti-13951	83	17	the	the	DET
aiti-13951	83	18	total	total	ADJ
aiti-13951	83	19	number	number	NOUN
aiti-13951	83	20	of	of	ADP
aiti-13951	83	21	data	datum	NOUN
aiti-13951	83	22	points	point	NOUN
aiti-13951	83	23	.	.	PUNCT
aiti-13951	84	1	having	have	VERB
aiti-13951	84	2	a	a	DET
aiti-13951	84	3	dataset	dataset	NOUN
aiti-13951	84	4	with	with	ADP
aiti-13951	84	5	�	�	PROPN
aiti-13951	84	6	data	datum	NOUN
aiti-13951	84	7	points	point	NOUN
aiti-13951	84	8	,	,	PUNCT
aiti-13951	84	9	denoted	denote	VERB
aiti-13951	84	10	by	by	ADP
aiti-13951	84	11	�	�	PROPN
aiti-13951	84	12	�	�	PROPN
aiti-13951	84	13	,	,	PUNCT
aiti-13951	84	14	�	�	PROPN
aiti-13951	84	15	�	�	PROPN
aiti-13951	84	16	,	,	PUNCT
aiti-13951	84	17	�	�	PROPN
aiti-13951	84	18	�	�	PROPN
aiti-13951	84	19	,	,	PUNCT
aiti-13951	84	20	…	…	NUM
aiti-13951	84	21	,	,	PUNCT
aiti-13951	84	22	�	�	PROPN
aiti-13951	84	23	�	�	PROPN
aiti-13951	84	24	,	,	PUNCT
aiti-13951	84	25	the	the	DET
aiti-13951	84	26	mean	mean	NOUN
aiti-13951	84	27	(	(	PUNCT
aiti-13951	84	28	)	)	PUNCT
aiti-13951	84	29	can	can	AUX
aiti-13951	84	30	be	be	AUX
aiti-13951	84	31	calculated	calculate	VERB
aiti-13951	84	32	as	as	ADP
aiti-13951	84	33	:	:	PUNCT
aiti-13951	84	34	1	1	NUM
aiti-13951	84	35	2	2	NUM
aiti-13951	84	36	3µ	3µ	NUM
aiti-13951	84	37	+	+	CCONJ
aiti-13951	85	1	+	+	PUNCT
aiti-13951	85	2	+	+	PUNCT
aiti-13951	85	3	+	+	NUM
aiti-13951	85	4	=	=	SYM
aiti-13951	85	5	…	…	PUNCT
aiti-13951	85	6	nx	nx	NUM
aiti-13951	85	7	x	x	SYM
aiti-13951	85	8	x	x	SYM
aiti-13951	85	9	x	x	SYM
aiti-13951	85	10	n	n	X
aiti-13951	85	11	(	(	PUNCT
aiti-13951	85	12	1	1	X
aiti-13951	85	13	)	)	PUNCT
aiti-13951	85	14	quantile	quantile	NOUN
aiti-13951	85	15	:	:	PUNCT
aiti-13951	85	16	based	base	VERB
aiti-13951	85	17	on	on	ADP
aiti-13951	85	18	a	a	DET
aiti-13951	85	19	collection	collection	NOUN
aiti-13951	85	20	of	of	ADP
aiti-13951	85	21	input	input	NOUN
aiti-13951	85	22	features	feature	NOUN
aiti-13951	85	23	,	,	PUNCT
aiti-13951	85	24	quantile	quantile	ADJ
aiti-13951	85	25	ml	ml	NOUN
aiti-13951	85	26	involves	involve	VERB
aiti-13951	85	27	calculating	calculate	VERB
aiti-13951	85	28	the	the	DET
aiti-13951	85	29	conditional	conditional	ADJ
aiti-13951	85	30	quantiles	quantile	NOUN
aiti-13951	85	31	of	of	ADP
aiti-13951	85	32	a	a	DET
aiti-13951	85	33	target	target	NOUN
aiti-13951	85	34	variable	variable	NOUN
aiti-13951	85	35	.	.	PUNCT
aiti-13951	86	1	the	the	DET
aiti-13951	86	2	purpose	purpose	NOUN
aiti-13951	86	3	of	of	ADP
aiti-13951	86	4	quantile	quantile	NOUN
aiti-13951	86	5	is	be	AUX
aiti-13951	86	6	to	to	PART
aiti-13951	86	7	discover	discover	VERB
aiti-13951	86	8	a	a	DET
aiti-13951	86	9	mathematical	mathematical	ADJ
aiti-13951	86	10	function	function	NOUN
aiti-13951	86	11	that	that	PRON
aiti-13951	86	12	links	link	VERB
aiti-13951	86	13	the	the	DET
aiti-13951	86	14	quantiles	quantile	NOUN
aiti-13951	86	15	of	of	ADP
aiti-13951	86	16	the	the	DET
aiti-13951	86	17	target	target	NOUN
aiti-13951	86	18	variable	variable	NOUN
aiti-13951	86	19	with	with	ADP
aiti-13951	86	20	the	the	DET
aiti-13951	86	21	input	input	NOUN
aiti-13951	86	22	features	feature	VERB
aiti-13951	86	23	�	�	PROPN
aiti-13951	86	24	.	.	PUNCT
aiti-13951	87	1	let	let	VERB
aiti-13951	87	2	’s	’s	NOUN
aiti-13951	87	3	denote	denote	VERB
aiti-13951	87	4	the	the	DET
aiti-13951	87	5	conditional	conditional	ADJ
aiti-13951	87	6	quantile	quantile	NOUN
aiti-13951	87	7	of	of	ADP
aiti-13951	87	8	at	at	ADP
aiti-13951	87	9	a	a	DET
aiti-13951	87	10	given	give	VERB
aiti-13951	87	11	percentile	percentile	ADJ
aiti-13951	87	12	�	�	PROPN
aiti-13951	87	13	as	as	ADP
aiti-13951	87	14	�	�	PROPN
aiti-13951	87	15	(	(	PUNCT
aiti-13951	87	16	|	|	NOUN
aiti-13951	87	17	�	�	PROPN
aiti-13951	87	18	)	)	PUNCT
aiti-13951	87	19	.	.	PUNCT
aiti-13951	88	1	the	the	DET
aiti-13951	88	2	quantile	quantile	ADJ
aiti-13951	88	3	regression	regression	NOUN
aiti-13951	88	4	minimizes	minimize	VERB
aiti-13951	88	5	the	the	DET
aiti-13951	88	6	weighted	weighted	ADJ
aiti-13951	88	7	absolute	absolute	ADJ
aiti-13951	88	8	loss	loss	NOUN
aiti-13951	88	9	function	function	NOUN
aiti-13951	88	10	,	,	PUNCT
aiti-13951	88	11	as	as	SCONJ
aiti-13951	88	12	shown	show	VERB
aiti-13951	88	13	in	in	ADP
aiti-13951	88	14	the	the	DET
aiti-13951	88	15	following	follow	VERB
aiti-13951	88	16	equation	equation	NOUN
aiti-13951	88	17	.	.	PUNCT
aiti-13951	89	1	given	give	VERB
aiti-13951	89	2	the	the	DET
aiti-13951	89	3	input	input	NOUN
aiti-13951	89	4	characteristics	characteristics	PROPN
aiti-13951	89	5	�	�	PROPN
aiti-13951	89	6	,	,	PUNCT
aiti-13951	89	7	�	�	PROPN
aiti-13951	89	8	(	(	PUNCT
aiti-13951	89	9	�	�	PROPN
aiti-13951	89	10	)	)	PUNCT
aiti-13951	89	11	here	here	ADV
aiti-13951	89	12	denotes	denote	VERB
aiti-13951	89	13	the	the	DET
aiti-13951	89	14	expected	expect	VERB
aiti-13951	89	15	quantile	quantile	NOUN
aiti-13951	89	16	of	of	ADP
aiti-13951	89	17	.	.	PUNCT
aiti-13951	90	1	based	base	VERB
aiti-13951	90	2	on	on	ADP
aiti-13951	90	3	the	the	DET
aiti-13951	90	4	specified	specify	VERB
aiti-13951	90	5	quantile	quantile	ADJ
aiti-13951	90	6	level	level	NOUN
aiti-13951	90	7	�	�	PROPN
aiti-13951	90	8	,	,	PUNCT
aiti-13951	90	9	the	the	DET
aiti-13951	90	10	loss	loss	NOUN
aiti-13951	90	11	function	function	NOUN
aiti-13951	90	12	penalizes	penalize	VERB
aiti-13951	90	13	the	the	DET
aiti-13951	90	14	errors	error	NOUN
aiti-13951	90	15	.	.	PUNCT
aiti-13951	91	1	(	(	PUNCT
aiti-13951	91	2	)	)	PUNCT
aiti-13951	91	3	(	(	PUNCT
aiti-13951	91	4	)	)	PUNCT
aiti-13951	91	5	(	(	PUNCT
aiti-13951	91	6	)	)	PUNCT
aiti-13951	91	7	(	(	PUNCT
aiti-13951	91	8	)	)	PUNCT
aiti-13951	91	9	,	,	PUNCT
aiti-13951	91	10	(	(	PUNCT
aiti-13951	91	11	)	)	PUNCT
aiti-13951	91	12	1	1	NUM
aiti-13951	91	13	max	max	NOUN
aiti-13951	91	14	0	0	NUM
aiti-13951	91	15	,	,	PUNCT
aiti-13951	91	16	(	(	PUNCT
aiti-13951	91	17	)	)	PUNCT
aiti-13951	91	18	max	max	PROPN
aiti-13951	91	19	0	0	NUM
aiti-13951	91	20	,	,	PUNCT
aiti-13951	91	21	(	(	PUNCT
aiti-13951	91	22	)	)	PUNCT
aiti-13951	91	23	=	=	SYM
aiti-13951	91	24	−	−	PROPN
aiti-13951	91	25	×	×	NOUN
aiti-13951	91	26	−	−	NOUN
aiti-13951	92	1	+	+	CCONJ
aiti-13951	93	1	×	×	NOUN
aiti-13951	93	2	−ql	−ql	PROPN
aiti-13951	93	3	y	y	PROPN
aiti-13951	94	1	f	f	PROPN
aiti-13951	94	2	x	x	X
aiti-13951	94	3	q	q	PUNCT
aiti-13951	94	4	y	y	NOUN
aiti-13951	94	5	f	f	NOUN
aiti-13951	95	1	x	x	X
aiti-13951	95	2	q	q	X
aiti-13951	95	3	f	f	X
aiti-13951	95	4	x	x	SYM
aiti-13951	95	5	y	y	PROPN
aiti-13951	95	6	(	(	PUNCT
aiti-13951	95	7	2	2	NUM
aiti-13951	95	8	)	)	PUNCT
aiti-13951	95	9	svd	svd	PROPN
aiti-13951	95	10	entropy	entropy	VERB
aiti-13951	95	11	:	:	PUNCT
aiti-13951	95	12	the	the	DET
aiti-13951	95	13	singular	singular	ADJ
aiti-13951	95	14	value	value	NOUN
aiti-13951	95	15	decomposition	decomposition	NOUN
aiti-13951	95	16	(	(	PUNCT
aiti-13951	95	17	svd	svd	PROPN
aiti-13951	95	18	)	)	PUNCT
aiti-13951	95	19	and	and	CCONJ
aiti-13951	95	20	shannon	shannon	PROPN
aiti-13951	95	21	entropy	entropy	PROPN
aiti-13951	95	22	are	be	AUX
aiti-13951	95	23	used	use	VERB
aiti-13951	95	24	to	to	PART
aiti-13951	95	25	quantify	quantify	VERB
aiti-13951	95	26	the	the	DET
aiti-13951	95	27	randomness	randomness	NOUN
aiti-13951	95	28	of	of	ADP
aiti-13951	95	29	a	a	DET
aiti-13951	95	30	dataset	dataset	NOUN
aiti-13951	95	31	.	.	PUNCT
aiti-13951	96	1	it	it	PRON
aiti-13951	96	2	gives	give	VERB
aiti-13951	96	3	a	a	DET
aiti-13951	96	4	measurement	measurement	NOUN
aiti-13951	96	5	of	of	ADP
aiti-13951	96	6	the	the	DET
aiti-13951	96	7	dataset	dataset	NOUN
aiti-13951	96	8	’s	’s	PART
aiti-13951	96	9	level	level	NOUN
aiti-13951	96	10	of	of	ADP
aiti-13951	96	11	uncertainty	uncertainty	NOUN
aiti-13951	96	12	.	.	PUNCT
aiti-13951	97	1	the	the	DET
aiti-13951	97	2	shannon	shannon	PROPN
aiti-13951	97	3	entropy	entropy	PROPN
aiti-13951	97	4	mathematical	mathematical	ADJ
aiti-13951	97	5	formula	formula	NOUN
aiti-13951	97	6	is	be	AUX
aiti-13951	97	7	used	use	VERB
aiti-13951	97	8	to	to	PART
aiti-13951	97	9	determine	determine	VERB
aiti-13951	97	10	the	the	DET
aiti-13951	97	11	svd	svd	PROPN
aiti-13951	97	12	entropy	entropy	VERB
aiti-13951	97	13	.	.	PUNCT
aiti-13951	98	1	the	the	DET
aiti-13951	98	2	average	average	ADJ
aiti-13951	98	3	amount	amount	NOUN
aiti-13951	98	4	of	of	ADP
aiti-13951	98	5	information	information	NOUN
aiti-13951	98	6	or	or	CCONJ
aiti-13951	98	7	uncertainty	uncertainty	NOUN
aiti-13951	98	8	in	in	ADP
aiti-13951	98	9	a	a	DET
aiti-13951	98	10	dataset	dataset	NOUN
aiti-13951	98	11	is	be	AUX
aiti-13951	98	12	measured	measure	VERB
aiti-13951	98	13	by	by	ADP
aiti-13951	98	14	shannon	shannon	PROPN
aiti-13951	98	15	entropy	entropy	PROPN
aiti-13951	98	16	,	,	PUNCT
aiti-13951	98	17	as	as	SCONJ
aiti-13951	98	18	shown	show	VERB
aiti-13951	98	19	below	below	ADV
aiti-13951	98	20	.	.	PUNCT
aiti-13951	99	1	(	(	PUNCT
aiti-13951	99	2	)	)	PUNCT
aiti-13951	99	3	2log	2log	PROPN
aiti-13951	99	4	(	(	PUNCT
aiti-13951	99	5	)	)	PUNCT
aiti-13951	99	6	=	=	SYM
aiti-13951	100	1	−	−	PROPN
aiti-13951	100	2	×entropy	×entropy	VERB
aiti-13951	100	3	p	p	PRON
aiti-13951	100	4	p	p	X
aiti-13951	100	5	(	(	PUNCT
aiti-13951	100	6	3	3	NUM
aiti-13951	100	7	)	)	PUNCT
aiti-13951	100	8	here	here	ADV
aiti-13951	100	9	,	,	PUNCT
aiti-13951	100	10	�	�	PROPN
aiti-13951	100	11	denotes	denote	VERB
aiti-13951	100	12	the	the	DET
aiti-13951	100	13	probability	probability	NOUN
aiti-13951	100	14	distribution	distribution	NOUN
aiti-13951	100	15	of	of	ADP
aiti-13951	100	16	the	the	DET
aiti-13951	100	17	singular	singular	ADJ
aiti-13951	100	18	values	value	NOUN
aiti-13951	100	19	and	and	CCONJ
aiti-13951	100	20	∑	∑	ADP
aiti-13951	100	21	denotes	denote	VERB
aiti-13951	100	22	the	the	DET
aiti-13951	100	23	sum	sum	NOUN
aiti-13951	100	24	.	.	PUNCT
aiti-13951	101	1	peak	peak	NOUN
aiti-13951	101	2	-	-	PUNCT
aiti-13951	101	3	to	to	ADP
aiti-13951	101	4	-	-	PUNCT
aiti-13951	101	5	peak	peak	NOUN
aiti-13951	101	6	amplitude	amplitude	NOUN
aiti-13951	101	7	(	(	PUNCT
aiti-13951	101	8	ppa	ppa	PROPN
aiti-13951	101	9	):	):	PUNCT
aiti-13951	101	10	ppa	ppa	PROPN
aiti-13951	101	11	is	be	AUX
aiti-13951	101	12	an	an	DET
aiti-13951	101	13	ml	ml	NOUN
aiti-13951	101	14	feature	feature	NOUN
aiti-13951	101	15	that	that	PRON
aiti-13951	101	16	measures	measure	VERB
aiti-13951	101	17	the	the	DET
aiti-13951	101	18	difference	difference	NOUN
aiti-13951	101	19	between	between	ADP
aiti-13951	101	20	the	the	DET
aiti-13951	101	21	maximum	maximum	ADJ
aiti-13951	101	22	and	and	CCONJ
aiti-13951	101	23	minimum	minimum	ADJ
aiti-13951	101	24	values	value	NOUN
aiti-13951	101	25	of	of	ADP
aiti-13951	101	26	a	a	DET
aiti-13951	101	27	signal	signal	NOUN
aiti-13951	101	28	within	within	ADP
aiti-13951	101	29	a	a	DET
aiti-13951	101	30	given	give	VERB
aiti-13951	101	31	time	time	NOUN
aiti-13951	101	32	interval	interval	NOUN
aiti-13951	101	33	,	,	PUNCT
aiti-13951	101	34	as	as	SCONJ
aiti-13951	101	35	shown	show	VERB
aiti-13951	101	36	in	in	ADP
aiti-13951	101	37	the	the	DET
aiti-13951	101	38	following	follow	VERB
aiti-13951	101	39	equation	equation	NOUN
aiti-13951	101	40	.	.	PUNCT
aiti-13951	102	1	it	it	PRON
aiti-13951	102	2	is	be	AUX
aiti-13951	102	3	commonly	commonly	ADV
aiti-13951	102	4	used	use	VERB
aiti-13951	102	5	in	in	ADP
aiti-13951	102	6	various	various	ADJ
aiti-13951	102	7	signalprocessing	signalprocesse	VERB
aiti-13951	102	8	applications	application	NOUN
aiti-13951	102	9	,	,	PUNCT
aiti-13951	102	10	including	include	VERB
aiti-13951	102	11	audio	audio	ADJ
aiti-13951	102	12	and	and	CCONJ
aiti-13951	102	13	vibration	vibration	NOUN
aiti-13951	102	14	analysis	analysis	NOUN
aiti-13951	102	15	.	.	PUNCT
aiti-13951	103	1	(	(	PUNCT
aiti-13951	103	2	)	)	PUNCT
aiti-13951	103	3	(	(	PUNCT
aiti-13951	103	4	)	)	PUNCT
aiti-13951	103	5	max	max	PROPN
aiti-13951	103	6	min=	min=	PROPN
aiti-13951	103	7	−ppa	−ppa	NOUN
aiti-13951	103	8	x	x	X
aiti-13951	103	9	x	x	X
aiti-13951	103	10	(	(	PUNCT
aiti-13951	103	11	4	4	NUM
aiti-13951	103	12	)	)	PUNCT
aiti-13951	103	13	the	the	DET
aiti-13951	103	14	max	max	PROPN
aiti-13951	103	15	(	(	PUNCT
aiti-13951	103	16	�	�	PROPN
aiti-13951	103	17	)	)	PUNCT
aiti-13951	103	18	represents	represent	VERB
aiti-13951	103	19	the	the	DET
aiti-13951	103	20	maximum	maximum	ADJ
aiti-13951	103	21	value	value	NOUN
aiti-13951	103	22	of	of	ADP
aiti-13951	103	23	the	the	DET
aiti-13951	103	24	signal	signal	NOUN
aiti-13951	103	25	within	within	ADP
aiti-13951	103	26	the	the	DET
aiti-13951	103	27	specified	specify	VERB
aiti-13951	103	28	time	time	NOUN
aiti-13951	103	29	interval	interval	NOUN
aiti-13951	103	30	.	.	PUNCT
aiti-13951	104	1	the	the	DET
aiti-13951	104	2	min	min	PROPN
aiti-13951	104	3	(	(	PUNCT
aiti-13951	104	4	�	�	PROPN
aiti-13951	104	5	)	)	PUNCT
aiti-13951	104	6	represents	represent	VERB
aiti-13951	104	7	the	the	DET
aiti-13951	104	8	minimum	minimum	ADJ
aiti-13951	104	9	value	value	NOUN
aiti-13951	104	10	of	of	ADP
aiti-13951	104	11	the	the	DET
aiti-13951	104	12	signal	signal	NOUN
aiti-13951	104	13	within	within	ADP
aiti-13951	104	14	the	the	DET
aiti-13951	104	15	specified	specify	VERB
aiti-13951	104	16	time	time	NOUN
aiti-13951	104	17	interval	interval	NOUN
aiti-13951	104	18	.	.	PUNCT
aiti-13951	105	1	energy	energy	NOUN
aiti-13951	105	2	frequency	frequency	NOUN
aiti-13951	105	3	bands	band	NOUN
aiti-13951	105	4	:	:	PUNCT
aiti-13951	105	5	energy	energy	NOUN
aiti-13951	105	6	frequency	frequency	NOUN
aiti-13951	105	7	bands	band	NOUN
aiti-13951	105	8	record	record	NOUN
aiti-13951	105	9	data	datum	NOUN
aiti-13951	105	10	on	on	ADP
aiti-13951	105	11	the	the	DET
aiti-13951	105	12	signal	signal	NOUN
aiti-13951	105	13	’s	’s	PART
aiti-13951	105	14	energy	energy	NOUN
aiti-13951	105	15	distribution	distribution	NOUN
aiti-13951	105	16	across	across	ADP
aiti-13951	105	17	several	several	ADJ
aiti-13951	105	18	frequency	frequency	NOUN
aiti-13951	105	19	bands	band	NOUN
aiti-13951	105	20	.	.	PUNCT
aiti-13951	106	1	considering	consider	VERB
aiti-13951	106	2	a	a	DET
aiti-13951	106	3	signal	signal	ADJ
aiti-13951	106	4	�	�	PROPN
aiti-13951	106	5	(	(	PUNCT
aiti-13951	106	6	�	�	PROPN
aiti-13951	106	7	)	)	PUNCT
aiti-13951	106	8	and	and	CCONJ
aiti-13951	106	9	applying	apply	VERB
aiti-13951	106	10	the	the	DET
aiti-13951	106	11	fourier	fourier	NOUN
aiti-13951	106	12	transform	transform	NOUN
aiti-13951	106	13	to	to	PART
aiti-13951	106	14	obtain	obtain	VERB
aiti-13951	106	15	its	its	PRON
aiti-13951	106	16	frequency	frequency	NOUN
aiti-13951	106	17	-	-	PUNCT
aiti-13951	106	18	domain	domain	NOUN
aiti-13951	106	19	representation	representation	NOUN
aiti-13951	106	20	�	�	PROPN
aiti-13951	106	21	(	(	PUNCT
aiti-13951	106	22	�	�	PROPN
aiti-13951	106	23	)	)	PUNCT
aiti-13951	106	24	,	,	PUNCT
aiti-13951	106	25	where	where	SCONJ
aiti-13951	106	26	�	�	PROPN
aiti-13951	106	27	represents	represent	VERB
aiti-13951	106	28	frequency	frequency	NOUN
aiti-13951	106	29	.	.	PUNCT
aiti-13951	107	1	the	the	DET
aiti-13951	107	2	frequency	frequency	NOUN
aiti-13951	107	3	range	range	NOUN
aiti-13951	107	4	is	be	AUX
aiti-13951	107	5	divided	divide	VERB
aiti-13951	107	6	into	into	ADP
aiti-13951	107	7	bands	band	NOUN
aiti-13951	107	8	,	,	PUNCT
aiti-13951	107	9	such	such	ADJ
aiti-13951	107	10	as	as	ADP
aiti-13951	107	11	the	the	DET
aiti-13951	107	12	low	low	ADJ
aiti-13951	107	13	-	-	PUNCT
aiti-13951	107	14	frequency	frequency	NOUN
aiti-13951	107	15	,	,	PUNCT
aiti-13951	107	16	mid	mid	ADJ
aiti-13951	107	17	-	-	NOUN
aiti-13951	107	18	frequency	frequency	NOUN
aiti-13951	107	19	,	,	PUNCT
aiti-13951	107	20	and	and	CCONJ
aiti-13951	107	21	highfrequency	highfrequency	NOUN
aiti-13951	107	22	bands	band	NOUN
aiti-13951	107	23	.	.	PUNCT
aiti-13951	108	1	by	by	ADP
aiti-13951	108	2	adding	add	VERB
aiti-13951	108	3	the	the	DET
aiti-13951	108	4	squared	squared	ADJ
aiti-13951	108	5	magnitudes	magnitude	NOUN
aiti-13951	108	6	of	of	ADP
aiti-13951	108	7	the	the	DET
aiti-13951	108	8	fourier	fourier	ADJ
aiti-13951	108	9	coefficients	coefficient	NOUN
aiti-13951	108	10	within	within	ADP
aiti-13951	108	11	the	the	DET
aiti-13951	108	12	respective	respective	ADJ
aiti-13951	108	13	frequency	frequency	NOUN
aiti-13951	108	14	range	range	NOUN
aiti-13951	108	15	,	,	PUNCT
aiti-13951	108	16	it	it	PRON
aiti-13951	108	17	computes	compute	VERB
aiti-13951	108	18	the	the	DET
aiti-13951	108	19	energy	energy	NOUN
aiti-13951	108	20	inside	inside	ADP
aiti-13951	108	21	each	each	DET
aiti-13951	108	22	band	band	NOUN
aiti-13951	108	23	.	.	PUNCT
aiti-13951	109	1	the	the	DET
aiti-13951	109	2	energy	energy	PROPN
aiti-13951	109	3	�	�	PROPN
aiti-13951	109	4	�	�	PROPN
aiti-13951	109	5	within	within	ADP
aiti-13951	109	6	a	a	DET
aiti-13951	109	7	frequency	frequency	NOUN
aiti-13951	109	8	band	band	NOUN
aiti-13951	109	9	�	�	PROPN
aiti-13951	109	10	is	be	AUX
aiti-13951	109	11	computed	compute	VERB
aiti-13951	109	12	,	,	PUNCT
aiti-13951	109	13	as	as	SCONJ
aiti-13951	109	14	shown	show	VERB
aiti-13951	109	15	below	below	ADV
aiti-13951	109	16	.	.	PUNCT
aiti-13951	110	1	2	2	NUM
aiti-13951	110	2	(	(	PUNCT
aiti-13951	110	3	)	)	PUNCT
aiti-13951	110	4	=	=	SYM
aiti-13951	110	5	ie	ie	NUM
aiti-13951	110	6	x	x	SYM
aiti-13951	110	7	f	f	X
aiti-13951	110	8	(	(	PUNCT
aiti-13951	110	9	5	5	NUM
aiti-13951	110	10	)	)	PUNCT
aiti-13951	110	11	here	here	ADV
aiti-13951	110	12	,	,	PUNCT
aiti-13951	110	13	�	�	PROPN
aiti-13951	110	14	is	be	AUX
aiti-13951	110	15	the	the	DET
aiti-13951	110	16	frequency	frequency	ADJ
aiti-13951	110	17	range	range	NOUN
aiti-13951	110	18	of	of	ADP
aiti-13951	110	19	band	band	NOUN
aiti-13951	110	20	�	�	PROPN
aiti-13951	110	21	.	.	PUNCT
aiti-13951	110	22	spectral	spectral	ADJ
aiti-13951	110	23	edge	edge	NOUN
aiti-13951	110	24	frequency	frequency	NOUN
aiti-13951	110	25	(	(	PUNCT
aiti-13951	110	26	sef	sef	PROPN
aiti-13951	110	27	):	):	PUNCT
aiti-13951	110	28	this	this	DET
aiti-13951	110	29	characteristic	characteristic	NOUN
aiti-13951	110	30	in	in	ADP
aiti-13951	110	31	machine	machine	NOUN
aiti-13951	110	32	learning	learning	NOUN
aiti-13951	110	33	describes	describe	VERB
aiti-13951	110	34	the	the	DET
aiti-13951	110	35	distribution	distribution	NOUN
aiti-13951	110	36	of	of	ADP
aiti-13951	110	37	frequencies	frequency	NOUN
aiti-13951	110	38	in	in	ADP
aiti-13951	110	39	a	a	DET
aiti-13951	110	40	signal	signal	NOUN
aiti-13951	110	41	,	,	PUNCT
aiti-13951	110	42	as	as	SCONJ
aiti-13951	110	43	shown	show	VERB
aiti-13951	110	44	in	in	ADP
aiti-13951	110	45	the	the	DET
aiti-13951	110	46	following	follow	VERB
aiti-13951	110	47	equation	equation	NOUN
aiti-13951	110	48	.	.	PUNCT
aiti-13951	111	1	it	it	PRON
aiti-13951	111	2	demonstrates	demonstrate	VERB
aiti-13951	111	3	how	how	SCONJ
aiti-13951	111	4	much	much	ADJ
aiti-13951	111	5	high	high	ADJ
aiti-13951	111	6	-	-	PUNCT
aiti-13951	111	7	frequency	frequency	NOUN
aiti-13951	111	8	content	content	NOUN
aiti-13951	111	9	is	be	AUX
aiti-13951	111	10	in	in	ADP
aiti-13951	111	11	a	a	DET
aiti-13951	111	12	signal	signal	NOUN
aiti-13951	111	13	,	,	PUNCT
aiti-13951	111	14	information	information	NOUN
aiti-13951	111	15	that	that	PRON
aiti-13951	111	16	can	can	AUX
aiti-13951	111	17	be	be	AUX
aiti-13951	111	18	helpful	helpful	ADJ
aiti-13951	111	19	in	in	ADP
aiti-13951	111	20	a	a	DET
aiti-13951	111	21	variety	variety	NOUN
aiti-13951	111	22	of	of	ADP
aiti-13951	111	23	applications	application	NOUN
aiti-13951	111	24	,	,	PUNCT
aiti-13951	111	25	including	include	VERB
aiti-13951	111	26	audio	audio	ADJ
aiti-13951	111	27	and	and	CCONJ
aiti-13951	111	28	image	image	NOUN
aiti-13951	111	29	processing	processing	NOUN
aiti-13951	111	30	.	.	PUNCT
aiti-13951	112	1	[	[	X
aiti-13951	112	2	]	]	X
aiti-13951	112	3	[	[	PUNCT
aiti-13951	112	4	]	]	X
aiti-13951	112	5	0	0	NUM
aiti-13951	112	6	,	,	PUNCT
aiti-13951	112	7	(	(	PUNCT
aiti-13951	112	8	)	)	PUNCT
aiti-13951	112	9	0	0	NUM
aiti-13951	112	10	,	,	PUNCT
aiti-13951	112	11	(	(	PUNCT
aiti-13951	112	12	)	)	PUNCT
aiti-13951	112	13	×	×	NOUN
aiti-13951	112	14	=	=	PUNCT
aiti-13951	112	15	∝	∝	NOUN
aiti-13951	112	16	×	×	NOUN
aiti-13951	112	17			X
aiti-13951	112	18			PUNCT
aiti-13951	113	1	f	f	PROPN
aiti-13951	113	2	f	f	PROPN
aiti-13951	113	3	p	p	X
aiti-13951	113	4	f	f	PROPN
aiti-13951	113	5	df	df	PROPN
aiti-13951	113	6	sef	sef	PROPN
aiti-13951	113	7	f	f	PROPN
aiti-13951	113	8	p	p	PROPN
aiti-13951	113	9	f	f	PROPN
aiti-13951	113	10	df	df	PROPN
aiti-13951	113	11	(	(	PUNCT
aiti-13951	113	12	6	6	NUM
aiti-13951	113	13	)	)	PUNCT
aiti-13951	113	14	here	here	ADV
aiti-13951	113	15	,	,	PUNCT
aiti-13951	113	16	�	�	PROPN
aiti-13951	113	17	(	(	PUNCT
aiti-13951	113	18	�	�	PROPN
aiti-13951	113	19	)	)	PUNCT
aiti-13951	113	20	is	be	AUX
aiti-13951	113	21	the	the	DET
aiti-13951	113	22	power	power	NOUN
aiti-13951	113	23	spectral	spectral	ADJ
aiti-13951	113	24	density	density	NOUN
aiti-13951	113	25	(	(	PUNCT
aiti-13951	113	26	psd	psd	NOUN
aiti-13951	113	27	)	)	PUNCT
aiti-13951	113	28	of	of	ADP
aiti-13951	113	29	the	the	DET
aiti-13951	113	30	signal	signal	NOUN
aiti-13951	113	31	and	and	CCONJ
aiti-13951	113	32	�	�	PROPN
aiti-13951	113	33	represents	represent	VERB
aiti-13951	113	34	the	the	DET
aiti-13951	113	35	frequency	frequency	NOUN
aiti-13951	113	36	.	.	PUNCT
aiti-13951	114	1	advances	advance	NOUN
aiti-13951	114	2	in	in	ADP
aiti-13951	114	3	technology	technology	NOUN
aiti-13951	114	4	innovation	innovation	NOUN
aiti-13951	114	5	,	,	PUNCT
aiti-13951	114	6	vol	vol	NOUN
aiti-13951	114	7	.	.	PROPN
aiti-13951	115	1	9	9	NUM
aiti-13951	115	2	,	,	PUNCT
aiti-13951	115	3	no	no	INTJ
aiti-13951	115	4	.	.	NOUN
aiti-13951	115	5	4	4	NUM
aiti-13951	115	6	,	,	PUNCT
aiti-13951	115	7	2024	2024	NUM
aiti-13951	115	8	,	,	PUNCT
aiti-13951	115	9	pp	pp	ADJ
aiti-13951	115	10	.	.	PUNCT
aiti-13951	116	1	287	287	NUM
aiti-13951	116	2	-	-	SYM
aiti-13951	116	3	300	300	NUM
aiti-13951	116	4	291	291	NUM
aiti-13951	116	5	standard	standard	ADJ
aiti-13951	116	6	deviation	deviation	NOUN
aiti-13951	116	7	(	(	PUNCT
aiti-13951	116	8	sd	sd	NOUN
aiti-13951	116	9	):	):	PUNCT
aiti-13951	116	10	this	this	DET
aiti-13951	116	11	metric	metric	ADJ
aiti-13951	116	12	quantifies	quantifie	NOUN
aiti-13951	116	13	the	the	DET
aiti-13951	116	14	dispersion	dispersion	NOUN
aiti-13951	116	15	of	of	ADP
aiti-13951	116	16	the	the	DET
aiti-13951	116	17	feature	feature	NOUN
aiti-13951	116	18	values	value	NOUN
aiti-13951	116	19	around	around	ADP
aiti-13951	116	20	the	the	DET
aiti-13951	116	21	mean	mean	NOUN
aiti-13951	116	22	.	.	PUNCT
aiti-13951	117	1	in	in	ADP
aiti-13951	117	2	ml	ml	NOUN
aiti-13951	117	3	,	,	PUNCT
aiti-13951	117	4	sd	sd	NOUN
aiti-13951	117	5	is	be	AUX
aiti-13951	117	6	frequently	frequently	ADV
aiti-13951	117	7	used	use	VERB
aiti-13951	117	8	as	as	ADP
aiti-13951	117	9	a	a	DET
aiti-13951	117	10	feature	feature	NOUN
aiti-13951	117	11	engineering	engineering	NOUN
aiti-13951	117	12	technique	technique	NOUN
aiti-13951	117	13	to	to	PART
aiti-13951	117	14	assess	assess	VERB
aiti-13951	117	15	a	a	DET
aiti-13951	117	16	feature	feature	NOUN
aiti-13951	117	17	’s	’s	PART
aiti-13951	117	18	importance	importance	NOUN
aiti-13951	117	19	in	in	ADP
aiti-13951	117	20	predictive	predictive	ADJ
aiti-13951	117	21	models	model	NOUN
aiti-13951	117	22	and	and	CCONJ
aiti-13951	117	23	capture	capture	VERB
aiti-13951	117	24	its	its	PRON
aiti-13951	117	25	variability	variability	NOUN
aiti-13951	117	26	,	,	PUNCT
aiti-13951	117	27	as	as	SCONJ
aiti-13951	117	28	shown	show	VERB
aiti-13951	117	29	below	below	ADV
aiti-13951	117	30	.	.	PUNCT
aiti-13951	118	1	(	(	PUNCT
aiti-13951	118	2	)	)	PUNCT
aiti-13951	118	3	21	21	NUM
aiti-13951	118	4	µ=	µ=	NOUN
aiti-13951	118	5	×	×	NOUN
aiti-13951	118	6	−	−	VERB
aiti-13951	118	7	isd	isd	NOUN
aiti-13951	118	8	x	x	SYM
aiti-13951	118	9	n	n	PROPN
aiti-13951	118	10	(	(	PUNCT
aiti-13951	118	11	7	7	NUM
aiti-13951	118	12	)	)	PUNCT
aiti-13951	118	13	here	here	ADV
aiti-13951	118	14	,	,	PUNCT
aiti-13951	118	15	the	the	DET
aiti-13951	118	16	dataset	dataset	NOUN
aiti-13951	118	17	’s	’s	PART
aiti-13951	118	18	total	total	ADJ
aiti-13951	118	19	number	number	NOUN
aiti-13951	118	20	of	of	ADP
aiti-13951	118	21	data	datum	NOUN
aiti-13951	118	22	points	point	NOUN
aiti-13951	118	23	is	be	AUX
aiti-13951	118	24	�	�	PROPN
aiti-13951	118	25	.	.	PUNCT
aiti-13951	119	1	each	each	DET
aiti-13951	119	2	distinct	distinct	ADJ
aiti-13951	119	3	feature	feature	NOUN
aiti-13951	119	4	value	value	NOUN
aiti-13951	119	5	is	be	AUX
aiti-13951	119	6	represented	represent	VERB
aiti-13951	119	7	by	by	ADP
aiti-13951	119	8	the	the	DET
aiti-13951	119	9	�	�	PROPN
aiti-13951	119	10	�	�	PROPN
aiti-13951	119	11	.	.	PUNCT
aiti-13951	120	1	the	the	PRON
aiti-13951	120	2	represents	represent	VERB
aiti-13951	120	3	the	the	DET
aiti-13951	120	4	feature	feature	NOUN
aiti-13951	120	5	values	value	NOUN
aiti-13951	120	6	’	'	PUNCT
aiti-13951	120	7	mean	mean	VERB
aiti-13951	120	8	.	.	PUNCT
aiti-13951	121	1	the	the	DET
aiti-13951	121	2	∑	∑	PUNCT
aiti-13951	121	3	stands	stand	VERB
aiti-13951	121	4	for	for	ADP
aiti-13951	121	5	the	the	DET
aiti-13951	121	6	total	total	NOUN
aiti-13951	121	7	of	of	ADP
aiti-13951	121	8	the	the	DET
aiti-13951	121	9	squared	square	VERB
aiti-13951	121	10	disparities	disparity	NOUN
aiti-13951	121	11	.	.	PUNCT
aiti-13951	122	1	hjorth	hjorth	NOUN
aiti-13951	122	2	mobility	mobility	NOUN
aiti-13951	122	3	(	(	PUNCT
aiti-13951	122	4	hm	hm	INTJ
aiti-13951	122	5	):	):	PUNCT
aiti-13951	122	6	this	this	DET
aiti-13951	122	7	parameter	parameter	NOUN
aiti-13951	122	8	reveals	reveal	VERB
aiti-13951	122	9	the	the	DET
aiti-13951	122	10	frequency	frequency	NOUN
aiti-13951	122	11	content	content	NOUN
aiti-13951	122	12	and	and	CCONJ
aiti-13951	122	13	signal	signal	ADJ
aiti-13951	122	14	variations	variation	NOUN
aiti-13951	122	15	.	.	PUNCT
aiti-13951	123	1	a	a	DET
aiti-13951	123	2	signal	signal	NOUN
aiti-13951	123	3	with	with	ADP
aiti-13951	123	4	a	a	DET
aiti-13951	123	5	greater	great	ADJ
aiti-13951	123	6	mobility	mobility	NOUN
aiti-13951	123	7	value	value	NOUN
aiti-13951	123	8	denotes	denote	VERB
aiti-13951	123	9	one	one	NUM
aiti-13951	123	10	with	with	ADP
aiti-13951	123	11	a	a	DET
aiti-13951	123	12	higher	high	ADJ
aiti-13951	123	13	frequency	frequency	NOUN
aiti-13951	123	14	content	content	NOUN
aiti-13951	123	15	or	or	CCONJ
aiti-13951	123	16	rate	rate	NOUN
aiti-13951	123	17	of	of	ADP
aiti-13951	123	18	change	change	NOUN
aiti-13951	123	19	,	,	PUNCT
aiti-13951	123	20	whereas	whereas	SCONJ
aiti-13951	123	21	a	a	DET
aiti-13951	123	22	signal	signal	NOUN
aiti-13951	123	23	with	with	ADP
aiti-13951	123	24	a	a	DET
aiti-13951	123	25	lower	low	ADJ
aiti-13951	123	26	mobility	mobility	NOUN
aiti-13951	123	27	value	value	NOUN
aiti-13951	123	28	denotes	denote	VERB
aiti-13951	123	29	one	one	NUM
aiti-13951	123	30	with	with	ADP
aiti-13951	123	31	a	a	DET
aiti-13951	123	32	lower	low	ADJ
aiti-13951	123	33	frequency	frequency	NOUN
aiti-13951	123	34	content	content	NOUN
aiti-13951	123	35	or	or	CCONJ
aiti-13951	123	36	rate	rate	NOUN
aiti-13951	123	37	of	of	ADP
aiti-13951	123	38	change	change	NOUN
aiti-13951	123	39	.	.	PUNCT
aiti-13951	124	1	it	it	PRON
aiti-13951	124	2	is	be	AUX
aiti-13951	124	3	determined	determine	VERB
aiti-13951	124	4	using	use	VERB
aiti-13951	124	5	the	the	DET
aiti-13951	124	6	three	three	NUM
aiti-13951	124	7	statistical	statistical	ADJ
aiti-13951	124	8	measurements	measurement	NOUN
aiti-13951	124	9	known	know	VERB
aiti-13951	124	10	as	as	ADP
aiti-13951	124	11	the	the	DET
aiti-13951	124	12	hjorth	hjorth	NOUN
aiti-13951	124	13	parameters	parameter	NOUN
aiti-13951	124	14	that	that	PRON
aiti-13951	124	15	are	be	AUX
aiti-13951	124	16	deduced	deduce	VERB
aiti-13951	124	17	from	from	ADP
aiti-13951	124	18	the	the	DET
aiti-13951	124	19	signal	signal	NOUN
aiti-13951	124	20	.	.	PUNCT
aiti-13951	125	1	activity	activity	NOUN
aiti-13951	125	2	(	(	PUNCT
aiti-13951	125	3	a	a	NOUN
aiti-13951	125	4	)	)	PUNCT
aiti-13951	125	5	,	,	PUNCT
aiti-13951	125	6	mobility	mobility	NOUN
aiti-13951	125	7	(	(	PUNCT
aiti-13951	125	8	m	m	NOUN
aiti-13951	125	9	)	)	PUNCT
aiti-13951	125	10	,	,	PUNCT
aiti-13951	125	11	and	and	CCONJ
aiti-13951	125	12	complexity	complexity	NOUN
aiti-13951	125	13	(	(	PUNCT
aiti-13951	125	14	c	c	NOUN
aiti-13951	125	15	)	)	PUNCT
aiti-13951	125	16	are	be	AUX
aiti-13951	125	17	the	the	DET
aiti-13951	125	18	three	three	NUM
aiti-13951	125	19	hjorth	hjorth	NOUN
aiti-13951	125	20	parameters	parameter	NOUN
aiti-13951	125	21	,	,	PUNCT
aiti-13951	125	22	as	as	SCONJ
aiti-13951	125	23	shown	show	VERB
aiti-13951	125	24	below	below	ADV
aiti-13951	125	25	.	.	PUNCT
aiti-13951	126	1	=	=	PRON
aiti-13951	127	1	m	m	VERB
aiti-13951	127	2	hm	hm	INTJ
aiti-13951	127	3	a	a	DET
aiti-13951	127	4	(	(	PUNCT
aiti-13951	127	5	8)	8)	NUM
aiti-13951	127	6	spectral	spectral	ADJ
aiti-13951	127	7	entropy	entropy	NOUN
aiti-13951	127	8	(	(	PUNCT
aiti-13951	127	9	se	se	ADV
aiti-13951	127	10	):	):	PUNCT
aiti-13951	127	11	a	a	DET
aiti-13951	127	12	characteristic	characteristic	NOUN
aiti-13951	127	13	used	use	VERB
aiti-13951	127	14	in	in	ADP
aiti-13951	127	15	ml	ml	NOUN
aiti-13951	127	16	and	and	CCONJ
aiti-13951	127	17	signal	signal	VERB
aiti-13951	127	18	processing	processing	NOUN
aiti-13951	127	19	to	to	PART
aiti-13951	127	20	measure	measure	VERB
aiti-13951	127	21	the	the	DET
aiti-13951	127	22	spectral	spectral	ADJ
aiti-13951	127	23	complexity	complexity	NOUN
aiti-13951	127	24	or	or	CCONJ
aiti-13951	127	25	information	information	NOUN
aiti-13951	127	26	content	content	NOUN
aiti-13951	127	27	of	of	ADP
aiti-13951	127	28	a	a	DET
aiti-13951	127	29	signal	signal	NOUN
aiti-13951	127	30	’s	’s	PART
aiti-13951	127	31	frequency	frequency	NOUN
aiti-13951	127	32	spectrum	spectrum	NOUN
aiti-13951	127	33	,	,	PUNCT
aiti-13951	127	34	as	as	SCONJ
aiti-13951	127	35	shown	show	VERB
aiti-13951	127	36	in	in	ADP
aiti-13951	127	37	the	the	DET
aiti-13951	127	38	following	follow	VERB
aiti-13951	127	39	equation	equation	NOUN
aiti-13951	127	40	.	.	PUNCT
aiti-13951	128	1	for	for	ADP
aiti-13951	128	2	se	se	X
aiti-13951	128	3	,	,	PUNCT
aiti-13951	128	4	the	the	DET
aiti-13951	128	5	signal	signal	NOUN
aiti-13951	128	6	’s	’s	PART
aiti-13951	128	7	psd	psd	PROPN
aiti-13951	128	8	,	,	PUNCT
aiti-13951	128	9	which	which	PRON
aiti-13951	128	10	depicts	depict	VERB
aiti-13951	128	11	the	the	DET
aiti-13951	128	12	signal	signal	NOUN
aiti-13951	128	13	’s	’s	PART
aiti-13951	128	14	power	power	NOUN
aiti-13951	128	15	distribution	distribution	NOUN
aiti-13951	128	16	across	across	ADP
aiti-13951	128	17	several	several	ADJ
aiti-13951	128	18	frequencies	frequency	NOUN
aiti-13951	128	19	,	,	PUNCT
aiti-13951	128	20	is	be	AUX
aiti-13951	128	21	necessary	necessary	ADJ
aiti-13951	128	22	.	.	PUNCT
aiti-13951	129	1	methods	method	NOUN
aiti-13951	129	2	like	like	ADP
aiti-13951	129	3	the	the	DET
aiti-13951	129	4	fourier	fourier	NOUN
aiti-13951	129	5	transform	transform	NOUN
aiti-13951	129	6	or	or	CCONJ
aiti-13951	129	7	the	the	DET
aiti-13951	129	8	periodogram	periodogram	NOUN
aiti-13951	129	9	are	be	AUX
aiti-13951	129	10	used	use	VERB
aiti-13951	129	11	to	to	PART
aiti-13951	129	12	obtain	obtain	VERB
aiti-13951	129	13	the	the	DET
aiti-13951	129	14	psd	psd	NOUN
aiti-13951	129	15	.	.	PUNCT
aiti-13951	130	1	(	(	PUNCT
aiti-13951	130	2	)	)	PUNCT
aiti-13951	130	3	2	2	NUM
aiti-13951	130	4	(	(	PUNCT
aiti-13951	130	5	)	)	PUNCT
aiti-13951	130	6	log	log	NOUN
aiti-13951	130	7	(	(	PUNCT
aiti-13951	130	8	)	)	PUNCT
aiti-13951	130	9	=	=	SYM
aiti-13951	131	1	−	−	PROPN
aiti-13951	131	2	×	×	PROPN
aiti-13951	131	3			PROPN
aiti-13951	131	4	se	se	NOUN
aiti-13951	132	1	p	p	PROPN
aiti-13951	132	2	f	f	PROPN
aiti-13951	132	3	p	p	X
aiti-13951	132	4	f	f	X
aiti-13951	132	5	(	(	PUNCT
aiti-13951	132	6	9	9	NUM
aiti-13951	132	7	)	)	PUNCT
aiti-13951	132	8	here	here	ADV
aiti-13951	132	9	,	,	PUNCT
aiti-13951	132	10	the	the	DET
aiti-13951	132	11	summation	summation	NOUN
aiti-13951	132	12	is	be	AUX
aiti-13951	132	13	done	do	VERB
aiti-13951	132	14	over	over	ADP
aiti-13951	132	15	the	the	DET
aiti-13951	132	16	entire	entire	ADJ
aiti-13951	132	17	range	range	NOUN
aiti-13951	132	18	of	of	ADP
aiti-13951	132	19	frequencies	frequency	NOUN
aiti-13951	132	20	,	,	PUNCT
aiti-13951	132	21	and	and	CCONJ
aiti-13951	132	22	�	�	PROPN
aiti-13951	132	23	(	(	PUNCT
aiti-13951	132	24	�	�	PROPN
aiti-13951	132	25	)	)	PUNCT
aiti-13951	132	26	indicates	indicate	VERB
aiti-13951	132	27	the	the	DET
aiti-13951	132	28	normalized	normalized	ADJ
aiti-13951	132	29	psd	psd	NOUN
aiti-13951	132	30	at	at	ADP
aiti-13951	132	31	frequency	frequency	PROPN
aiti-13951	132	32	�	�	PROPN
aiti-13951	132	33	.	.	PUNCT
aiti-13951	133	1	skewness	skewness	PROPN
aiti-13951	133	2	:	:	PUNCT
aiti-13951	133	3	skewness	skewness	NOUN
aiti-13951	133	4	is	be	AUX
aiti-13951	133	5	a	a	DET
aiti-13951	133	6	statistical	statistical	ADJ
aiti-13951	133	7	metric	metric	NOUN
aiti-13951	133	8	used	use	VERB
aiti-13951	133	9	in	in	ADP
aiti-13951	133	10	data	data	NOUN
aiti-13951	133	11	analysis	analysis	NOUN
aiti-13951	133	12	and	and	CCONJ
aiti-13951	133	13	ml	ml	X
aiti-13951	133	14	to	to	PART
aiti-13951	133	15	express	express	VERB
aiti-13951	133	16	the	the	DET
aiti-13951	133	17	asymmetry	asymmetry	NOUN
aiti-13951	133	18	from	from	ADP
aiti-13951	133	19	symmetry	symmetry	NOUN
aiti-13951	133	20	in	in	ADP
aiti-13951	133	21	a	a	DET
aiti-13951	133	22	data	data	NOUN
aiti-13951	133	23	distribution	distribution	NOUN
aiti-13951	133	24	.	.	PUNCT
aiti-13951	134	1	it	it	PRON
aiti-13951	134	2	reveals	reveal	VERB
aiti-13951	134	3	details	detail	NOUN
aiti-13951	134	4	about	about	ADP
aiti-13951	134	5	the	the	DET
aiti-13951	134	6	distribution	distribution	NOUN
aiti-13951	134	7	’s	’s	PART
aiti-13951	134	8	shape	shape	NOUN
aiti-13951	134	9	,	,	PUNCT
aiti-13951	134	10	including	include	VERB
aiti-13951	134	11	whether	whether	SCONJ
aiti-13951	134	12	it	it	PRON
aiti-13951	134	13	is	be	AUX
aiti-13951	134	14	skewed	skewed	ADJ
aiti-13951	134	15	left	left	NOUN
aiti-13951	134	16	or	or	CCONJ
aiti-13951	134	17	right	right	ADJ
aiti-13951	134	18	.	.	PUNCT
aiti-13951	135	1	a	a	DET
aiti-13951	135	2	dataset	dataset	NOUN
aiti-13951	135	3	’s	’s	PART
aiti-13951	135	4	skewness	skewness	NOUN
aiti-13951	135	5	is	be	AUX
aiti-13951	135	6	mathematically	mathematically	ADV
aiti-13951	135	7	determined	determine	VERB
aiti-13951	135	8	as	as	ADP
aiti-13951	135	9	the	the	DET
aiti-13951	135	10	third	third	ADJ
aiti-13951	135	11	standardized	standardized	ADJ
aiti-13951	135	12	moment	moment	NOUN
aiti-13951	135	13	,	,	PUNCT
aiti-13951	135	14	as	as	SCONJ
aiti-13951	135	15	shown	show	VERB
aiti-13951	135	16	below	below	ADV
aiti-13951	135	17	.	.	PUNCT
aiti-13951	136	1	3	3	NUM
aiti-13951	136	2	µ	µ	PROPN
aiti-13951	136	3	σ	σ	X
aiti-13951	136	4			PROPN
aiti-13951	136	5	−	−	PROPN
aiti-13951	136	6			PROPN
aiti-13951	136	7	=	=	PUNCT
aiti-13951	136	8			PROPN
aiti-13951	136	9			VERB
aiti-13951	136	10			PROPN
aiti-13951	136	11			PROPN
aiti-13951	136	12			PROPN
aiti-13951	136	13			PROPN
aiti-13951	136	14			PROPN
aiti-13951	136	15	x	x	SYM
aiti-13951	136	16	skewness	skewness	NOUN
aiti-13951	136	17	e	e	PROPN
aiti-13951	136	18	(	(	PUNCT
aiti-13951	136	19	10	10	NUM
aiti-13951	136	20	)	)	PUNCT
aiti-13951	136	21	here	here	ADV
aiti-13951	136	22	,	,	PUNCT
aiti-13951	136	23	�	�	PROPN
aiti-13951	136	24	is	be	AUX
aiti-13951	136	25	the	the	DET
aiti-13951	136	26	data	data	NOUN
aiti-13951	136	27	point	point	NOUN
aiti-13951	136	28	,	,	PUNCT
aiti-13951	136	29	is	be	AUX
aiti-13951	136	30	the	the	DET
aiti-13951	136	31	dataset	dataset	NOUN
aiti-13951	136	32	mean	mean	NOUN
aiti-13951	136	33	,	,	PUNCT
aiti-13951	136	34	�	�	PROPN
aiti-13951	136	35	is	be	AUX
aiti-13951	136	36	its	its	PRON
aiti-13951	136	37	sd	sd	NOUN
aiti-13951	136	38	,	,	PUNCT
aiti-13951	136	39	and	and	CCONJ
aiti-13951	136	40	�	�	PROPN
aiti-13951	136	41	stands	stand	VERB
aiti-13951	136	42	for	for	ADP
aiti-13951	136	43	the	the	DET
aiti-13951	136	44	anticipated	anticipate	VERB
aiti-13951	136	45	value	value	NOUN
aiti-13951	136	46	.	.	PUNCT
aiti-13951	137	1	kurtosis	kurtosis	NOUN
aiti-13951	137	2	:	:	PUNCT
aiti-13951	137	3	kurtosis	kurtosis	NOUN
aiti-13951	137	4	is	be	AUX
aiti-13951	137	5	a	a	DET
aiti-13951	137	6	statistical	statistical	ADJ
aiti-13951	137	7	index	index	NOUN
aiti-13951	137	8	used	use	VERB
aiti-13951	137	9	in	in	ADP
aiti-13951	137	10	data	data	NOUN
aiti-13951	137	11	analysis	analysis	NOUN
aiti-13951	137	12	and	and	CCONJ
aiti-13951	137	13	ml	ml	NOUN
aiti-13951	137	14	to	to	PART
aiti-13951	137	15	describe	describe	VERB
aiti-13951	137	16	the	the	DET
aiti-13951	137	17	peak	peak	NOUN
aiti-13951	137	18	or	or	CCONJ
aiti-13951	137	19	flatness	flatness	NOUN
aiti-13951	137	20	of	of	ADP
aiti-13951	137	21	a	a	DET
aiti-13951	137	22	data	data	NOUN
aiti-13951	137	23	distribution	distribution	NOUN
aiti-13951	137	24	.	.	PUNCT
aiti-13951	138	1	it	it	PRON
aiti-13951	138	2	reveals	reveal	VERB
aiti-13951	138	3	details	detail	NOUN
aiti-13951	138	4	about	about	ADP
aiti-13951	138	5	the	the	DET
aiti-13951	138	6	distribution	distribution	NOUN
aiti-13951	138	7	’s	’s	PART
aiti-13951	138	8	shape	shape	NOUN
aiti-13951	138	9	,	,	PUNCT
aiti-13951	138	10	including	include	VERB
aiti-13951	138	11	if	if	SCONJ
aiti-13951	138	12	it	it	PRON
aiti-13951	138	13	has	have	AUX
aiti-13951	138	14	thick	thick	ADJ
aiti-13951	138	15	tails	tail	NOUN
aiti-13951	138	16	or	or	CCONJ
aiti-13951	138	17	a	a	DET
aiti-13951	138	18	denser	dense	ADJ
aiti-13951	138	19	center	center	NOUN
aiti-13951	138	20	than	than	ADP
aiti-13951	138	21	a	a	DET
aiti-13951	138	22	typical	typical	ADJ
aiti-13951	138	23	distribution	distribution	NOUN
aiti-13951	138	24	.	.	PUNCT
aiti-13951	139	1	the	the	DET
aiti-13951	139	2	fourth	fourth	ADJ
aiti-13951	139	3	standardized	standardized	ADJ
aiti-13951	139	4	moment	moment	NOUN
aiti-13951	139	5	is	be	AUX
aiti-13951	139	6	used	use	VERB
aiti-13951	139	7	to	to	PART
aiti-13951	139	8	calculate	calculate	VERB
aiti-13951	139	9	a	a	DET
aiti-13951	139	10	dataset	dataset	NOUN
aiti-13951	139	11	’s	’s	PART
aiti-13951	139	12	kurtosis	kurtosis	NOUN
aiti-13951	139	13	,	,	PUNCT
aiti-13951	139	14	as	as	SCONJ
aiti-13951	139	15	shown	show	VERB
aiti-13951	139	16	below	below	ADV
aiti-13951	139	17	.	.	PUNCT
aiti-13951	140	1	4	4	NUM
aiti-13951	140	2	µ	µ	PROPN
aiti-13951	140	3	σ	σ	X
aiti-13951	140	4			PROPN
aiti-13951	140	5	−	−	PROPN
aiti-13951	140	6			PROPN
aiti-13951	140	7	=	=	PUNCT
aiti-13951	140	8			PROPN
aiti-13951	140	9			VERB
aiti-13951	140	10			PROPN
aiti-13951	140	11			PROPN
aiti-13951	140	12			PROPN
aiti-13951	140	13			PROPN
aiti-13951	140	14			PROPN
aiti-13951	140	15	x	x	PUNCT
aiti-13951	140	16	kurtosis	kurtosis	NOUN
aiti-13951	140	17	e	e	X
aiti-13951	140	18	(	(	PUNCT
aiti-13951	140	19	11	11	NUM
aiti-13951	140	20	)	)	PUNCT
aiti-13951	140	21	time	time	NOUN
aiti-13951	140	22	-	-	PUNCT
aiti-13951	140	23	domain	domain	NOUN
aiti-13951	140	24	and	and	CCONJ
aiti-13951	140	25	frequency	frequency	NOUN
aiti-13951	140	26	-	-	PUNCT
aiti-13951	140	27	domain	domain	NOUN
aiti-13951	140	28	features	feature	NOUN
aiti-13951	140	29	are	be	AUX
aiti-13951	140	30	selected	select	VERB
aiti-13951	140	31	in	in	ADP
aiti-13951	140	32	this	this	DET
aiti-13951	140	33	study	study	NOUN
aiti-13951	140	34	for	for	ADP
aiti-13951	140	35	their	their	PRON
aiti-13951	140	36	complementary	complementary	ADJ
aiti-13951	140	37	roles	role	NOUN
aiti-13951	140	38	in	in	ADP
aiti-13951	140	39	capturing	capture	VERB
aiti-13951	140	40	different	different	ADJ
aiti-13951	140	41	aspects	aspect	NOUN
aiti-13951	140	42	of	of	ADP
aiti-13951	140	43	eeg	eeg	NOUN
aiti-13951	140	44	signals	signal	NOUN
aiti-13951	140	45	.	.	PUNCT
aiti-13951	141	1	time	time	NOUN
aiti-13951	141	2	-	-	PUNCT
aiti-13951	141	3	domain	domain	NOUN
aiti-13951	141	4	features	feature	NOUN
aiti-13951	141	5	(	(	PUNCT
aiti-13951	141	6	such	such	ADJ
aiti-13951	141	7	as	as	ADP
aiti-13951	141	8	mean	mean	ADJ
aiti-13951	141	9	,	,	PUNCT
aiti-13951	141	10	sd	sd	NOUN
aiti-13951	141	11	,	,	PUNCT
aiti-13951	141	12	and	and	CCONJ
aiti-13951	141	13	hm	hm	X
aiti-13951	141	14	)	)	PUNCT
aiti-13951	141	15	provide	provide	VERB
aiti-13951	141	16	insights	insight	NOUN
aiti-13951	141	17	into	into	ADP
aiti-13951	141	18	the	the	DET
aiti-13951	141	19	statistical	statistical	ADJ
aiti-13951	141	20	and	and	CCONJ
aiti-13951	141	21	temporal	temporal	ADJ
aiti-13951	141	22	characteristics	characteristic	NOUN
aiti-13951	141	23	of	of	ADP
aiti-13951	141	24	the	the	DET
aiti-13951	141	25	eeg	eeg	PROPN
aiti-13951	141	26	data	datum	NOUN
aiti-13951	141	27	,	,	PUNCT
aiti-13951	141	28	revealing	reveal	VERB
aiti-13951	141	29	patterns	pattern	NOUN
aiti-13951	141	30	and	and	CCONJ
aiti-13951	141	31	variations	variation	NOUN
aiti-13951	141	32	over	over	ADP
aiti-13951	141	33	time	time	NOUN
aiti-13951	141	34	.	.	PUNCT
aiti-13951	142	1	frequency	frequency	NOUN
aiti-13951	142	2	-	-	PUNCT
aiti-13951	142	3	domain	domain	NOUN
aiti-13951	142	4	features	feature	NOUN
aiti-13951	142	5	(	(	PUNCT
aiti-13951	142	6	such	such	ADJ
aiti-13951	142	7	as	as	ADP
aiti-13951	142	8	svd	svd	PROPN
aiti-13951	142	9	entropy	entropy	VERB
aiti-13951	142	10	,	,	PUNCT
aiti-13951	142	11	energy	energy	NOUN
aiti-13951	142	12	frequency	frequency	NOUN
aiti-13951	142	13	bands	band	NOUN
aiti-13951	142	14	,	,	PUNCT
aiti-13951	142	15	and	and	CCONJ
aiti-13951	142	16	se	se	X
aiti-13951	142	17	)	)	PUNCT
aiti-13951	142	18	analyze	analyze	VERB
aiti-13951	142	19	the	the	DET
aiti-13951	142	20	spectral	spectral	ADJ
aiti-13951	142	21	content	content	NOUN
aiti-13951	142	22	,	,	PUNCT
aiti-13951	142	23	identifying	identify	VERB
aiti-13951	142	24	the	the	DET
aiti-13951	142	25	distribution	distribution	NOUN
aiti-13951	142	26	of	of	ADP
aiti-13951	142	27	signal	signal	ADJ
aiti-13951	142	28	power	power	NOUN
aiti-13951	142	29	across	across	ADP
aiti-13951	142	30	various	various	ADJ
aiti-13951	142	31	frequency	frequency	NOUN
aiti-13951	142	32	bands	band	NOUN
aiti-13951	142	33	,	,	PUNCT
aiti-13951	142	34	which	which	PRON
aiti-13951	142	35	is	be	AUX
aiti-13951	142	36	crucial	crucial	ADJ
aiti-13951	142	37	for	for	ADP
aiti-13951	142	38	understanding	understand	VERB
aiti-13951	142	39	the	the	DET
aiti-13951	142	40	underlying	underlie	VERB
aiti-13951	142	41	neural	neural	ADJ
aiti-13951	142	42	oscillations	oscillation	NOUN
aiti-13951	142	43	and	and	CCONJ
aiti-13951	142	44	rhythmic	rhythmic	ADJ
aiti-13951	142	45	activities	activity	NOUN
aiti-13951	142	46	.	.	PUNCT
aiti-13951	143	1	this	this	DET
aiti-13951	143	2	combination	combination	NOUN
aiti-13951	143	3	ensures	ensure	VERB
aiti-13951	143	4	a	a	DET
aiti-13951	143	5	comprehensive	comprehensive	ADJ
aiti-13951	143	6	analysis	analysis	NOUN
aiti-13951	143	7	,	,	PUNCT
aiti-13951	143	8	enhancing	enhance	VERB
aiti-13951	143	9	the	the	DET
aiti-13951	143	10	ability	ability	NOUN
aiti-13951	143	11	to	to	PART
aiti-13951	143	12	distinguish	distinguish	VERB
aiti-13951	143	13	between	between	ADP
aiti-13951	143	14	asd	asd	NOUN
aiti-13951	143	15	and	and	CCONJ
aiti-13951	143	16	td	td	NOUN
aiti-13951	143	17	children	child	NOUN
aiti-13951	143	18	.	.	PUNCT
aiti-13951	144	1	292	292	NUM
aiti-13951	144	2	advances	advance	NOUN
aiti-13951	144	3	in	in	ADP
aiti-13951	144	4	technology	technology	NOUN
aiti-13951	144	5	innovation	innovation	NOUN
aiti-13951	144	6	,	,	PUNCT
aiti-13951	144	7	vol	vol	NOUN
aiti-13951	144	8	.	.	PROPN
aiti-13951	144	9	9	9	NUM
aiti-13951	144	10	,	,	PUNCT
aiti-13951	144	11	no	no	INTJ
aiti-13951	144	12	.	.	NOUN
aiti-13951	144	13	4	4	NUM
aiti-13951	144	14	,	,	PUNCT
aiti-13951	144	15	2024	2024	NUM
aiti-13951	144	16	,	,	PUNCT
aiti-13951	144	17	pp	pp	ADJ
aiti-13951	144	18	.	.	PUNCT
aiti-13951	145	1	287	287	NUM
aiti-13951	145	2	-	-	SYM
aiti-13951	145	3	300	300	NUM
aiti-13951	145	4	4	4	NUM
aiti-13951	145	5	.	.	PUNCT
aiti-13951	145	6	neural	neural	ADJ
aiti-13951	145	7	networks	network	NOUN
aiti-13951	145	8	employed	employ	VERB
aiti-13951	145	9	for	for	ADP
aiti-13951	145	10	autism	autism	NOUN
aiti-13951	145	11	detection	detection	NOUN
aiti-13951	145	12	the	the	DET
aiti-13951	145	13	study	study	NOUN
aiti-13951	145	14	utilizes	utilize	VERB
aiti-13951	145	15	eeg	eeg	NOUN
aiti-13951	145	16	analysis	analysis	NOUN
aiti-13951	145	17	to	to	PART
aiti-13951	145	18	distinguish	distinguish	VERB
aiti-13951	145	19	between	between	ADP
aiti-13951	145	20	asd	asd	NOUN
aiti-13951	145	21	and	and	CCONJ
aiti-13951	145	22	td	td	NOUN
aiti-13951	145	23	children	child	NOUN
aiti-13951	145	24	,	,	PUNCT
aiti-13951	145	25	employing	employ	VERB
aiti-13951	145	26	four	four	NUM
aiti-13951	145	27	distinct	distinct	ADJ
aiti-13951	145	28	nn	nn	PROPN
aiti-13951	145	29	models	model	NOUN
aiti-13951	145	30	:	:	PUNCT
aiti-13951	145	31	cnn	cnn	PROPN
aiti-13951	145	32	,	,	PUNCT
aiti-13951	145	33	dnn	dnn	PROPN
aiti-13951	145	34	,	,	PUNCT
aiti-13951	145	35	lstm	lstm	ADJ
aiti-13951	145	36	,	,	PUNCT
aiti-13951	145	37	and	and	CCONJ
aiti-13951	145	38	a	a	DET
aiti-13951	145	39	custom	custom	ADV
aiti-13951	145	40	-	-	PUNCT
aiti-13951	145	41	designed	design	VERB
aiti-13951	145	42	nn	nn	PROPN
aiti-13951	145	43	model	model	NOUN
aiti-13951	145	44	.	.	PUNCT
aiti-13951	146	1	the	the	DET
aiti-13951	146	2	cnns	cnn	NOUN
aiti-13951	146	3	are	be	AUX
aiti-13951	146	4	chosen	choose	VERB
aiti-13951	146	5	for	for	ADP
aiti-13951	146	6	their	their	PRON
aiti-13951	146	7	ability	ability	NOUN
aiti-13951	146	8	to	to	PART
aiti-13951	146	9	capture	capture	VERB
aiti-13951	146	10	spatial	spatial	ADJ
aiti-13951	146	11	hierarchies	hierarchy	NOUN
aiti-13951	146	12	in	in	ADP
aiti-13951	146	13	data	datum	NOUN
aiti-13951	146	14	,	,	PUNCT
aiti-13951	146	15	making	make	VERB
aiti-13951	146	16	them	they	PRON
aiti-13951	146	17	effective	effective	ADJ
aiti-13951	146	18	in	in	ADP
aiti-13951	146	19	extracting	extract	VERB
aiti-13951	146	20	spatial	spatial	ADJ
aiti-13951	146	21	features	feature	NOUN
aiti-13951	146	22	from	from	ADP
aiti-13951	146	23	eeg	eeg	NOUN
aiti-13951	146	24	signals	signal	NOUN
aiti-13951	146	25	.	.	PUNCT
aiti-13951	147	1	the	the	DET
aiti-13951	147	2	dnns	dnn	NOUN
aiti-13951	147	3	are	be	AUX
aiti-13951	147	4	included	include	VERB
aiti-13951	147	5	for	for	ADP
aiti-13951	147	6	their	their	PRON
aiti-13951	147	7	capacity	capacity	NOUN
aiti-13951	147	8	to	to	PART
aiti-13951	147	9	learn	learn	VERB
aiti-13951	147	10	complex	complex	ADJ
aiti-13951	147	11	representations	representation	NOUN
aiti-13951	147	12	and	and	CCONJ
aiti-13951	147	13	intricate	intricate	ADJ
aiti-13951	147	14	relationships	relationship	NOUN
aiti-13951	147	15	within	within	ADP
aiti-13951	147	16	the	the	DET
aiti-13951	147	17	high	high	ADV
aiti-13951	147	18	-	-	PUNCT
aiti-13951	147	19	dimensional	dimensional	ADJ
aiti-13951	147	20	eeg	eeg	NOUN
aiti-13951	147	21	data	datum	NOUN
aiti-13951	147	22	.	.	PUNCT
aiti-13951	148	1	the	the	DET
aiti-13951	148	2	lstms	lstms	NOUN
aiti-13951	148	3	are	be	AUX
aiti-13951	148	4	selected	select	VERB
aiti-13951	148	5	due	due	ADP
aiti-13951	148	6	to	to	ADP
aiti-13951	148	7	their	their	PRON
aiti-13951	148	8	proficiency	proficiency	NOUN
aiti-13951	148	9	in	in	ADP
aiti-13951	148	10	learning	learn	VERB
aiti-13951	148	11	temporal	temporal	ADJ
aiti-13951	148	12	dependencies	dependency	NOUN
aiti-13951	148	13	,	,	PUNCT
aiti-13951	148	14	which	which	PRON
aiti-13951	148	15	is	be	AUX
aiti-13951	148	16	crucial	crucial	ADJ
aiti-13951	148	17	for	for	ADP
aiti-13951	148	18	analyzing	analyze	VERB
aiti-13951	148	19	sequential	sequential	ADJ
aiti-13951	148	20	eeg	eeg	NOUN
aiti-13951	148	21	data	datum	NOUN
aiti-13951	148	22	and	and	CCONJ
aiti-13951	148	23	capturing	capture	VERB
aiti-13951	148	24	longterm	longterm	ADJ
aiti-13951	148	25	patterns	pattern	NOUN
aiti-13951	148	26	.	.	PUNCT
aiti-13951	149	1	lastly	lastly	ADV
aiti-13951	149	2	,	,	PUNCT
aiti-13951	149	3	the	the	DET
aiti-13951	149	4	custom	custom	ADV
aiti-13951	149	5	-	-	PUNCT
aiti-13951	149	6	designed	design	VERB
aiti-13951	149	7	nn	nn	PROPN
aiti-13951	149	8	model	model	NOUN
aiti-13951	149	9	is	be	AUX
aiti-13951	149	10	tailored	tailor	VERB
aiti-13951	149	11	specifically	specifically	ADV
aiti-13951	149	12	to	to	ADP
aiti-13951	149	13	the	the	DET
aiti-13951	149	14	eeg	eeg	NOUN
aiti-13951	149	15	dataset	dataset	NOUN
aiti-13951	149	16	and	and	CCONJ
aiti-13951	149	17	classification	classification	NOUN
aiti-13951	149	18	task	task	NOUN
aiti-13951	149	19	,	,	PUNCT
aiti-13951	149	20	allowing	allow	VERB
aiti-13951	149	21	for	for	ADP
aiti-13951	149	22	the	the	DET
aiti-13951	149	23	incorporation	incorporation	NOUN
aiti-13951	149	24	of	of	ADP
aiti-13951	149	25	domain	domain	NOUN
aiti-13951	149	26	-	-	PUNCT
aiti-13951	149	27	specific	specific	ADJ
aiti-13951	149	28	knowledge	knowledge	NOUN
aiti-13951	149	29	and	and	CCONJ
aiti-13951	149	30	fine	fine	ADV
aiti-13951	149	31	-	-	PUNCT
aiti-13951	149	32	tuning	tuning	NOUN
aiti-13951	149	33	for	for	ADP
aiti-13951	149	34	optimal	optimal	ADJ
aiti-13951	149	35	performance	performance	NOUN
aiti-13951	149	36	.	.	PUNCT
aiti-13951	150	1	this	this	DET
aiti-13951	150	2	combination	combination	NOUN
aiti-13951	150	3	of	of	ADP
aiti-13951	150	4	models	model	NOUN
aiti-13951	150	5	leverages	leverage	VERB
aiti-13951	150	6	their	their	PRON
aiti-13951	150	7	respective	respective	ADJ
aiti-13951	150	8	strengths	strength	NOUN
aiti-13951	150	9	in	in	ADP
aiti-13951	150	10	spatial	spatial	ADJ
aiti-13951	150	11	,	,	PUNCT
aiti-13951	150	12	complex	complex	ADJ
aiti-13951	150	13	,	,	PUNCT
aiti-13951	150	14	temporal	temporal	ADJ
aiti-13951	150	15	,	,	PUNCT
aiti-13951	150	16	and	and	CCONJ
aiti-13951	150	17	customized	customize	VERB
aiti-13951	150	18	feature	feature	NOUN
aiti-13951	150	19	extraction	extraction	NOUN
aiti-13951	150	20	,	,	PUNCT
aiti-13951	150	21	enhancing	enhance	VERB
aiti-13951	150	22	the	the	DET
aiti-13951	150	23	accuracy	accuracy	NOUN
aiti-13951	150	24	and	and	CCONJ
aiti-13951	150	25	reliability	reliability	NOUN
aiti-13951	150	26	of	of	ADP
aiti-13951	150	27	distinguishing	distinguish	VERB
aiti-13951	150	28	between	between	ADP
aiti-13951	150	29	asd	asd	NOUN
aiti-13951	150	30	and	and	CCONJ
aiti-13951	150	31	td	td	NOUN
aiti-13951	150	32	children	child	NOUN
aiti-13951	150	33	.	.	PUNCT
aiti-13951	151	1	4.1	4.1	NUM
aiti-13951	151	2	.	.	PUNCT
aiti-13951	152	1	convolutional	convolutional	ADJ
aiti-13951	152	2	neural	neural	ADJ
aiti-13951	152	3	network	network	NOUN
aiti-13951	152	4	model	model	NOUN
aiti-13951	152	5	the	the	DET
aiti-13951	152	6	cnn	cnn	PROPN
aiti-13951	152	7	model	model	NOUN
aiti-13951	152	8	(	(	PUNCT
aiti-13951	152	9	fig	fig	NOUN
aiti-13951	152	10	.	.	NOUN
aiti-13951	153	1	1	1	NUM
aiti-13951	153	2	)	)	PUNCT
aiti-13951	153	3	for	for	ADP
aiti-13951	153	4	binary	binary	ADJ
aiti-13951	153	5	classification	classification	NOUN
aiti-13951	153	6	between	between	ADP
aiti-13951	153	7	td	td	NOUN
aiti-13951	153	8	and	and	CCONJ
aiti-13951	153	9	asd	asd	NOUN
aiti-13951	153	10	using	use	VERB
aiti-13951	153	11	eeg	eeg	PROPN
aiti-13951	153	12	data	datum	NOUN
aiti-13951	153	13	comprises	comprise	VERB
aiti-13951	153	14	the	the	DET
aiti-13951	153	15	input	input	NOUN
aiti-13951	153	16	data	datum	NOUN
aiti-13951	153	17	with	with	ADP
aiti-13951	153	18	a	a	DET
aiti-13951	153	19	reshaped	reshaped	ADJ
aiti-13951	153	20	layer	layer	NOUN
aiti-13951	153	21	to	to	ADP
aiti-13951	153	22	a	a	DET
aiti-13951	153	23	suitable	suitable	ADJ
aiti-13951	153	24	shape	shape	NOUN
aiti-13951	153	25	for	for	ADP
aiti-13951	153	26	conv1d	conv1d	ADJ
aiti-13951	153	27	layers	layer	NOUN
aiti-13951	153	28	,	,	PUNCT
aiti-13951	153	29	as	as	SCONJ
aiti-13951	153	30	follows	follow	VERB
aiti-13951	153	31	.	.	PUNCT
aiti-13951	154	1	(	(	PUNCT
aiti-13951	154	2	)	)	PUNCT
aiti-13951	154	3	reshape	reshape	NOUN
aiti-13951	154	4	,	,	PUNCT
aiti-13951	154	5	_	_	X
aiti-13951	154	6	.	.	PUNCT
aiti-13951	155	1	,	,	PUNCT
aiti-13951	155	2	=	=	PRON
aiti-13951	155	3	reshapedx	reshapedx	NOUN
aiti-13951	155	4	x	x	NOUN
aiti-13951	155	5	batch	batch	NOUN
aiti-13951	155	6	size	size	NOUN
aiti-13951	156	1	i	i	NOUN
aiti-13951	156	2	c	c	PROPN
aiti-13951	156	3	(	(	PUNCT
aiti-13951	156	4	12	12	NUM
aiti-13951	156	5	)	)	PUNCT
aiti-13951	156	6	here	here	ADV
aiti-13951	156	7	,	,	PUNCT
aiti-13951	156	8	�	�	PROPN
aiti-13951	156	9	is	be	AUX
aiti-13951	156	10	input	input	NOUN
aiti-13951	156	11	data	datum	NOUN
aiti-13951	156	12	and	and	CCONJ
aiti-13951	156	13	�	�	PROPN
aiti-13951	156	14	is	be	AUX
aiti-13951	156	15	the	the	DET
aiti-13951	156	16	number	number	NOUN
aiti-13951	156	17	of	of	ADP
aiti-13951	156	18	channels	channel	NOUN
aiti-13951	156	19	after	after	ADP
aiti-13951	156	20	reshaping	reshape	VERB
aiti-13951	156	21	the	the	DET
aiti-13951	156	22	data	datum	NOUN
aiti-13951	156	23	.	.	PUNCT
aiti-13951	157	1	the	the	DET
aiti-13951	157	2	conv1d	conv1d	ADJ
aiti-13951	157	3	layers	layer	NOUN
aiti-13951	157	4	(	(	PUNCT
aiti-13951	157	5	�	�	PROPN
aiti-13951	157	6	)	)	PUNCT
aiti-13951	157	7	of	of	ADP
aiti-13951	157	8	the	the	DET
aiti-13951	157	9	employed	employ	VERB
aiti-13951	157	10	cnn	cnn	PROPN
aiti-13951	157	11	model	model	NOUN
aiti-13951	157	12	performed	perform	VERB
aiti-13951	157	13	convolutions	convolution	NOUN
aiti-13951	157	14	with	with	ADP
aiti-13951	157	15	kernels	kernel	NOUN
aiti-13951	157	16	(	(	PUNCT
aiti-13951	157	17	!	!	PUNCT
aiti-13951	157	18	�	�	PROPN
aiti-13951	157	19	)	)	PUNCT
aiti-13951	157	20	,	,	PUNCT
aiti-13951	157	21	and	and	CCONJ
aiti-13951	157	22	biases	bias	NOUN
aiti-13951	157	23	(	(	PUNCT
aiti-13951	157	24	"	"	PUNCT
aiti-13951	157	25	�	�	NOUN
aiti-13951	157	26	)	)	PUNCT
aiti-13951	157	27	followed	follow	VERB
aiti-13951	157	28	by	by	ADP
aiti-13951	157	29	rectified	rectified	ADJ
aiti-13951	157	30	linear	linear	NOUN
aiti-13951	157	31	unit	unit	NOUN
aiti-13951	157	32	(	(	PUNCT
aiti-13951	157	33	relu	relu	NOUN
aiti-13951	157	34	)	)	PUNCT
aiti-13951	157	35	activation	activation	NOUN
aiti-13951	157	36	,	,	PUNCT
aiti-13951	157	37	as	as	SCONJ
aiti-13951	157	38	follows	follow	VERB
aiti-13951	157	39	.	.	PUNCT
aiti-13951	158	1	(	(	PUNCT
aiti-13951	158	2	)	)	PUNCT
aiti-13951	158	3	relu=	relu=	NUM
aiti-13951	158	4	×	×	NOUN
aiti-13951	159	1	+	+	NOUN
aiti-13951	159	2	i	i	PRON
aiti-13951	160	1	i	i	PRON
aiti-13951	161	1	i	i	PRON
aiti-13951	161	2	iy	iy	INTJ
aiti-13951	162	1	w	w	NOUN
aiti-13951	162	2	x	x	SYM
aiti-13951	162	3	b	b	PROPN
aiti-13951	162	4	(	(	PUNCT
aiti-13951	162	5	13	13	NUM
aiti-13951	162	6	)	)	PUNCT
aiti-13951	162	7	here	here	ADV
aiti-13951	162	8	,	,	PUNCT
aiti-13951	162	9	relu	relu	NOUN
aiti-13951	162	10	is	be	AUX
aiti-13951	162	11	defined	define	VERB
aiti-13951	162	12	in	in	ADP
aiti-13951	162	13	the	the	DET
aiti-13951	162	14	following	follow	VERB
aiti-13951	162	15	equation	equation	NOUN
aiti-13951	162	16	.	.	PUNCT
aiti-13951	163	1	(	(	PUNCT
aiti-13951	163	2	)	)	PUNCT
aiti-13951	163	3	0	0	NUM
aiti-13951	163	4	,	,	PUNCT
aiti-13951	163	5	0	0	NUM
aiti-13951	163	6	relu	relu	NOUN
aiti-13951	163	7	,	,	PUNCT
aiti-13951	163	8	0	0	PUNCT
aiti-13951	164	1	<	<	X
aiti-13951	164	2			NOUN
aiti-13951	164	3	=	=	SYM
aiti-13951	164	4			NUM
aiti-13951	164	5	≥	≥	PUNCT
aiti-13951	164	6	if	if	SCONJ
aiti-13951	164	7	x	x	X
aiti-13951	164	8	x	x	X
aiti-13951	164	9	x	x	X
aiti-13951	164	10	if	if	SCONJ
aiti-13951	164	11	x	x	X
aiti-13951	164	12	(	(	PUNCT
aiti-13951	164	13	14	14	NUM
aiti-13951	164	14	)	)	PUNCT
aiti-13951	164	15	the	the	DET
aiti-13951	164	16	maxpooling1d	maxpooling1d	NOUN
aiti-13951	164	17	layers	layer	NOUN
aiti-13951	164	18	reduce	reduce	VERB
aiti-13951	164	19	the	the	DET
aiti-13951	164	20	spatial	spatial	ADJ
aiti-13951	164	21	dimensions	dimension	NOUN
aiti-13951	164	22	,	,	PUNCT
aiti-13951	164	23	as	as	SCONJ
aiti-13951	164	24	follows	follow	VERB
aiti-13951	164	25	.	.	PUNCT
aiti-13951	165	1	(	(	PUNCT
aiti-13951	165	2	)	)	PUNCT
aiti-13951	165	3	maxpooling1d	maxpooling1d	NOUN
aiti-13951	165	4	,	,	PUNCT
aiti-13951	165	5	_	_	PUNCT
aiti-13951	166	1	=	=	NOUN
aiti-13951	166	2	i	i	PRON
aiti-13951	166	3	iz	iz	VERB
aiti-13951	166	4	x	x	VERB
aiti-13951	166	5	pool	pool	NOUN
aiti-13951	166	6	size	size	NOUN
aiti-13951	166	7	(	(	PUNCT
aiti-13951	166	8	15	15	NUM
aiti-13951	166	9	)	)	PUNCT
aiti-13951	166	10	the	the	DET
aiti-13951	166	11	globalmaxpooling1d	globalmaxpooling1d	NOUN
aiti-13951	166	12	operation	operation	NOUN
aiti-13951	166	13	across	across	ADP
aiti-13951	166	14	the	the	DET
aiti-13951	166	15	temporal	temporal	ADJ
aiti-13951	166	16	dimension	dimension	NOUN
aiti-13951	166	17	produces	produce	VERB
aiti-13951	166	18	a	a	DET
aiti-13951	166	19	vector	vector	NOUN
aiti-13951	166	20	output	output	NOUN
aiti-13951	166	21	,	,	PUNCT
aiti-13951	166	22	as	as	SCONJ
aiti-13951	166	23	follows	follow	VERB
aiti-13951	166	24	.	.	PUNCT
aiti-13951	167	1	(	(	PUNCT
aiti-13951	167	2	)	)	PUNCT
aiti-13951	167	3	globalmaxpooling1d	globalmaxpooling1d	NOUN
aiti-13951	167	4	=	=	SYM
aiti-13951	167	5	g	g	NOUN
aiti-13951	167	6	x	x	SYM
aiti-13951	167	7	(	(	PUNCT
aiti-13951	167	8	16	16	NUM
aiti-13951	167	9	)	)	PUNCT
aiti-13951	167	10	dense	dense	ADJ
aiti-13951	167	11	layers	layer	NOUN
aiti-13951	167	12	perform	perform	VERB
aiti-13951	167	13	fully	fully	ADV
aiti-13951	167	14	connected	connect	VERB
aiti-13951	167	15	operations	operation	NOUN
aiti-13951	167	16	with	with	ADP
aiti-13951	167	17	weights	weight	NOUN
aiti-13951	167	18	(	(	PUNCT
aiti-13951	167	19	!	!	PUNCT
aiti-13951	167	20	#	#	NOUN
aiti-13951	167	21	)	)	PUNCT
aiti-13951	167	22	,	,	PUNCT
aiti-13951	167	23	biases	bias	NOUN
aiti-13951	167	24	(	(	PUNCT
aiti-13951	167	25	"	"	PUNCT
aiti-13951	167	26	#	#	NOUN
aiti-13951	167	27	)	)	PUNCT
aiti-13951	167	28	,	,	PUNCT
aiti-13951	167	29	and	and	CCONJ
aiti-13951	167	30	activations	activation	NOUN
aiti-13951	167	31	.	.	PUNCT
aiti-13951	168	1	the	the	DET
aiti-13951	168	2	dense	dense	ADJ
aiti-13951	168	3	operation	operation	NOUN
aiti-13951	168	4	for	for	ADP
aiti-13951	168	5	a	a	DET
aiti-13951	168	6	layer	layer	NOUN
aiti-13951	168	7	can	can	AUX
aiti-13951	168	8	be	be	AUX
aiti-13951	168	9	written	write	VERB
aiti-13951	168	10	as	as	SCONJ
aiti-13951	168	11	follows	follow	VERB
aiti-13951	168	12	.	.	PUNCT
aiti-13951	169	1	(	(	PUNCT
aiti-13951	169	2	)	)	PUNCT
aiti-13951	169	3	activation=	activation=	NUM
aiti-13951	169	4	×	×	NOUN
aiti-13951	170	1	+	+	NOUN
aiti-13951	170	2	i	i	PROPN
aiti-13951	170	3	il	il	X
aiti-13951	170	4	ly	ly	ADP
aiti-13951	170	5	w	w	PROPN
aiti-13951	170	6	x	x	PROPN
aiti-13951	170	7	b	b	PROPN
aiti-13951	170	8	(	(	PUNCT
aiti-13951	170	9	17	17	NUM
aiti-13951	170	10	)	)	PUNCT
aiti-13951	170	11	here	here	ADV
aiti-13951	170	12	,	,	PUNCT
aiti-13951	170	13	activation	activation	NOUN
aiti-13951	170	14	represents	represent	VERB
aiti-13951	170	15	relu	relu	NOUN
aiti-13951	170	16	for	for	ADP
aiti-13951	170	17	hidden	hidden	ADJ
aiti-13951	170	18	layers	layer	NOUN
aiti-13951	170	19	,	,	PUNCT
aiti-13951	170	20	and	and	CCONJ
aiti-13951	170	21	sigmoid	sigmoid	NOUN
aiti-13951	170	22	for	for	ADP
aiti-13951	170	23	the	the	DET
aiti-13951	170	24	output	output	NOUN
aiti-13951	170	25	layer	layer	NOUN
aiti-13951	170	26	is	be	AUX
aiti-13951	170	27	shown	show	VERB
aiti-13951	170	28	below	below	ADP
aiti-13951	170	29	.	.	PUNCT
aiti-13951	171	1	(	(	PUNCT
aiti-13951	171	2	)	)	PUNCT
aiti-13951	171	3	1	1	NUM
aiti-13951	171	4	1	1	NUM
aiti-13951	171	5	−	−	NOUN
aiti-13951	172	1	=	=	SYM
aiti-13951	173	1	+	+	CCONJ
aiti-13951	173	2	x	x	SYM
aiti-13951	173	3	sigmoid	sigmoid	NOUN
aiti-13951	173	4	x	x	X
aiti-13951	173	5	e	e	X
aiti-13951	173	6	(	(	PUNCT
aiti-13951	173	7	18	18	NUM
aiti-13951	173	8	)	)	PUNCT
aiti-13951	173	9	the	the	DET
aiti-13951	173	10	employed	employ	VERB
aiti-13951	173	11	cnn	cnn	PROPN
aiti-13951	173	12	model	model	NOUN
aiti-13951	173	13	is	be	AUX
aiti-13951	173	14	compiled	compile	VERB
aiti-13951	173	15	using	use	VERB
aiti-13951	173	16	the	the	DET
aiti-13951	173	17	adam	adam	PROPN
aiti-13951	173	18	optimizer	optimizer	NOUN
aiti-13951	173	19	and	and	CCONJ
aiti-13951	173	20	binary	binary	PROPN
aiti-13951	173	21	cross	cross	PROPN
aiti-13951	173	22	-	-	ADJ
aiti-13951	173	23	entropy	entropy	ADJ
aiti-13951	173	24	loss	loss	NOUN
aiti-13951	173	25	,	,	PUNCT
aiti-13951	173	26	monitoring	monitoring	NOUN
aiti-13951	173	27	accuracy	accuracy	NOUN
aiti-13951	173	28	as	as	ADP
aiti-13951	173	29	a	a	DET
aiti-13951	173	30	metric	metric	NOUN
aiti-13951	173	31	.	.	PUNCT
aiti-13951	174	1	during	during	ADP
aiti-13951	174	2	training	training	NOUN
aiti-13951	174	3	,	,	PUNCT
aiti-13951	174	4	the	the	DET
aiti-13951	174	5	model	model	NOUN
aiti-13951	174	6	learns	learn	VERB
aiti-13951	174	7	training	training	NOUN
aiti-13951	174	8	data	datum	NOUN
aiti-13951	174	9	for	for	ADP
aiti-13951	174	10	50	50	NUM
aiti-13951	174	11	epochs	epoch	NOUN
aiti-13951	174	12	using	use	VERB
aiti-13951	174	13	a	a	DET
aiti-13951	174	14	batch	batch	NOUN
aiti-13951	174	15	size	size	NOUN
aiti-13951	174	16	of	of	ADP
aiti-13951	174	17	60	60	NUM
aiti-13951	174	18	and	and	CCONJ
aiti-13951	174	19	evaluates	evaluate	VERB
aiti-13951	174	20	its	its	PRON
aiti-13951	174	21	performance	performance	NOUN
aiti-13951	174	22	on	on	ADP
aiti-13951	174	23	validation	validation	NOUN
aiti-13951	174	24	data	datum	NOUN
aiti-13951	174	25	.	.	PUNCT
aiti-13951	175	1	after	after	ADP
aiti-13951	175	2	training	training	NOUN
aiti-13951	175	3	,	,	PUNCT
aiti-13951	175	4	the	the	DET
aiti-13951	175	5	model	model	NOUN
aiti-13951	175	6	is	be	AUX
aiti-13951	175	7	evaluated	evaluate	VERB
aiti-13951	175	8	on	on	ADP
aiti-13951	175	9	test	test	NOUN
aiti-13951	175	10	data	datum	NOUN
aiti-13951	175	11	,	,	PUNCT
aiti-13951	175	12	calculating	calculate	VERB
aiti-13951	175	13	the	the	DET
aiti-13951	175	14	loss	loss	NOUN
aiti-13951	175	15	and	and	CCONJ
aiti-13951	175	16	accuracy	accuracy	NOUN
aiti-13951	175	17	metrics	metric	NOUN
aiti-13951	175	18	.	.	PUNCT
aiti-13951	176	1	finally	finally	ADV
aiti-13951	176	2	,	,	PUNCT
aiti-13951	176	3	predictions	prediction	NOUN
aiti-13951	176	4	are	be	AUX
aiti-13951	176	5	generated	generate	VERB
aiti-13951	176	6	using	use	VERB
aiti-13951	176	7	the	the	DET
aiti-13951	176	8	trained	train	VERB
aiti-13951	176	9	model	model	NOUN
aiti-13951	176	10	on	on	ADP
aiti-13951	176	11	the	the	DET
aiti-13951	176	12	test	test	NOUN
aiti-13951	176	13	data	datum	NOUN
aiti-13951	176	14	,	,	PUNCT
aiti-13951	176	15	producing	produce	VERB
aiti-13951	176	16	predicted	predict	VERB
aiti-13951	176	17	probabilities	probability	NOUN
aiti-13951	176	18	.	.	PUNCT
aiti-13951	177	1	advances	advance	NOUN
aiti-13951	177	2	in	in	ADP
aiti-13951	177	3	technology	technology	NOUN
aiti-13951	177	4	innovation	innovation	NOUN
aiti-13951	177	5	,	,	PUNCT
aiti-13951	177	6	vol	vol	NOUN
aiti-13951	177	7	.	.	PROPN
aiti-13951	178	1	9	9	NUM
aiti-13951	178	2	,	,	PUNCT
aiti-13951	178	3	no	no	INTJ
aiti-13951	178	4	.	.	NOUN
aiti-13951	178	5	4	4	NUM
aiti-13951	178	6	,	,	PUNCT
aiti-13951	178	7	2024	2024	NUM
aiti-13951	178	8	,	,	PUNCT
aiti-13951	178	9	pp	pp	ADJ
aiti-13951	178	10	.	.	PUNCT
aiti-13951	179	1	287	287	NUM
aiti-13951	179	2	-	-	SYM
aiti-13951	179	3	300	300	NUM
aiti-13951	179	4	293	293	NUM
aiti-13951	179	5	fig	fig	NOUN
aiti-13951	179	6	.	.	PUNCT
aiti-13951	180	1	1	1	NUM
aiti-13951	180	2	architecture	architecture	NOUN
aiti-13951	180	3	of	of	ADP
aiti-13951	180	4	the	the	DET
aiti-13951	180	5	cnn	cnn	PROPN
aiti-13951	180	6	model	model	NOUN
aiti-13951	180	7	employed	employ	VERB
aiti-13951	180	8	in	in	ADP
aiti-13951	180	9	the	the	DET
aiti-13951	180	10	study	study	NOUN
aiti-13951	180	11	4.2	4.2	NUM
aiti-13951	180	12	.	.	PUNCT
aiti-13951	181	1	deep	deep	ADJ
aiti-13951	181	2	neural	neural	ADJ
aiti-13951	181	3	network	network	NOUN
aiti-13951	181	4	model	model	NOUN
aiti-13951	181	5	the	the	DET
aiti-13951	181	6	dnn	dnn	PROPN
aiti-13951	181	7	model	model	NOUN
aiti-13951	181	8	employed	employ	VERB
aiti-13951	181	9	for	for	ADP
aiti-13951	181	10	the	the	DET
aiti-13951	181	11	study	study	NOUN
aiti-13951	181	12	(	(	PUNCT
aiti-13951	181	13	fig	fig	NOUN
aiti-13951	181	14	.	.	NOUN
aiti-13951	182	1	2	2	X
aiti-13951	182	2	)	)	PUNCT
aiti-13951	182	3	comprises	comprise	VERB
aiti-13951	182	4	three	three	NUM
aiti-13951	182	5	dense	dense	ADJ
aiti-13951	182	6	layers	layer	NOUN
aiti-13951	182	7	.	.	PUNCT
aiti-13951	183	1	the	the	DET
aiti-13951	183	2	initial	initial	ADJ
aiti-13951	183	3	layer	layer	NOUN
aiti-13951	183	4	consists	consist	VERB
aiti-13951	183	5	of	of	ADP
aiti-13951	183	6	128	128	NUM
aiti-13951	183	7	neurons	neuron	NOUN
aiti-13951	183	8	and	and	CCONJ
aiti-13951	183	9	employs	employ	VERB
aiti-13951	183	10	the	the	DET
aiti-13951	183	11	relu	relu	NOUN
aiti-13951	183	12	activation	activation	NOUN
aiti-13951	183	13	function	function	NOUN
aiti-13951	183	14	,	,	PUNCT
aiti-13951	183	15	as	as	SCONJ
aiti-13951	183	16	follows	follow	VERB
aiti-13951	183	17	.	.	PUNCT
aiti-13951	184	1	(	(	PUNCT
aiti-13951	184	2	)	)	SYM
aiti-13951	184	3	1	1	NUM
aiti-13951	184	4	1	1	NUM
aiti-13951	184	5	1relu=	1relu=	NUM
aiti-13951	184	6	×	×	NOUN
aiti-13951	184	7	+	+	NOUN
aiti-13951	184	8	output	output	NOUN
aiti-13951	184	9	w	w	NOUN
aiti-13951	184	10	x	x	SYM
aiti-13951	184	11	b	b	PROPN
aiti-13951	184	12	(	(	PUNCT
aiti-13951	184	13	19	19	NUM
aiti-13951	184	14	)	)	PUNCT
aiti-13951	184	15	here	here	ADV
aiti-13951	184	16	,	,	PUNCT
aiti-13951	184	17	!	!	PUNCT
aiti-13951	185	1	�	�	PROPN
aiti-13951	185	2	represents	represent	VERB
aiti-13951	185	3	the	the	DET
aiti-13951	185	4	weight	weight	NOUN
aiti-13951	185	5	matrix	matrix	NOUN
aiti-13951	185	6	,	,	PUNCT
aiti-13951	185	7	$	$	SYM
aiti-13951	185	8	denotes	denote	VERB
aiti-13951	185	9	the	the	DET
aiti-13951	185	10	input	input	NOUN
aiti-13951	185	11	data	datum	NOUN
aiti-13951	185	12	,	,	PUNCT
aiti-13951	185	13	"	"	PUNCT
aiti-13951	185	14	�	�	PROPN
aiti-13951	185	15	is	be	AUX
aiti-13951	185	16	the	the	DET
aiti-13951	185	17	bias	bias	NOUN
aiti-13951	185	18	term	term	NOUN
aiti-13951	185	19	,	,	PUNCT
aiti-13951	185	20	and	and	CCONJ
aiti-13951	185	21	relu	relu	NOUN
aiti-13951	185	22	,	,	PUNCT
aiti-13951	185	23	represented	represent	VERB
aiti-13951	185	24	by	by	ADP
aiti-13951	185	25	eq	eq	PROPN
aiti-13951	185	26	.	.	PUNCT
aiti-13951	186	1	(	(	PUNCT
aiti-13951	186	2	13	13	NUM
aiti-13951	186	3	)	)	PUNCT
aiti-13951	186	4	,	,	PUNCT
aiti-13951	186	5	represents	represent	VERB
aiti-13951	186	6	the	the	DET
aiti-13951	186	7	activation	activation	NOUN
aiti-13951	186	8	function	function	NOUN
aiti-13951	186	9	.	.	PUNCT
aiti-13951	187	1	the	the	DET
aiti-13951	187	2	second	second	ADJ
aiti-13951	187	3	dense	dense	ADJ
aiti-13951	187	4	layer	layer	NOUN
aiti-13951	187	5	contains	contain	VERB
aiti-13951	187	6	64	64	NUM
aiti-13951	187	7	neurons	neuron	NOUN
aiti-13951	187	8	and	and	CCONJ
aiti-13951	187	9	also	also	ADV
aiti-13951	187	10	uses	use	VERB
aiti-13951	187	11	relu	relu	NOUN
aiti-13951	187	12	activation	activation	NOUN
aiti-13951	187	13	,	,	PUNCT
aiti-13951	187	14	as	as	SCONJ
aiti-13951	187	15	shown	show	VERB
aiti-13951	187	16	in	in	ADP
aiti-13951	187	17	the	the	DET
aiti-13951	187	18	following	follow	VERB
aiti-13951	187	19	equation	equation	NOUN
aiti-13951	187	20	.	.	PUNCT
aiti-13951	188	1	this	this	DET
aiti-13951	188	2	layer	layer	NOUN
aiti-13951	188	3	introduces	introduce	VERB
aiti-13951	188	4	further	further	ADJ
aiti-13951	188	5	non	non	ADJ
aiti-13951	188	6	-	-	ADJ
aiti-13951	188	7	linearity	linearity	ADJ
aiti-13951	188	8	to	to	PART
aiti-13951	188	9	capture	capture	VERB
aiti-13951	188	10	complex	complex	ADJ
aiti-13951	188	11	patterns	pattern	NOUN
aiti-13951	188	12	in	in	ADP
aiti-13951	188	13	the	the	DET
aiti-13951	188	14	data	datum	NOUN
aiti-13951	188	15	.	.	PUNCT
aiti-13951	189	1	(	(	PUNCT
aiti-13951	189	2	)	)	SYM
aiti-13951	189	3	2	2	NUM
aiti-13951	189	4	2	2	NUM
aiti-13951	189	5	1	1	NUM
aiti-13951	189	6	2relu=	2relu=	NUM
aiti-13951	189	7	×	×	NOUN
aiti-13951	189	8	+	+	NOUN
aiti-13951	189	9	output	output	NOUN
aiti-13951	189	10	w	w	PROPN
aiti-13951	189	11	output	output	PROPN
aiti-13951	189	12	b	b	PROPN
aiti-13951	189	13	(	(	PUNCT
aiti-13951	189	14	20	20	NUM
aiti-13951	189	15	)	)	PUNCT
aiti-13951	189	16	the	the	DET
aiti-13951	189	17	final	final	ADJ
aiti-13951	189	18	dense	dense	ADJ
aiti-13951	189	19	layer	layer	NOUN
aiti-13951	189	20	consists	consist	VERB
aiti-13951	189	21	of	of	ADP
aiti-13951	189	22	a	a	DET
aiti-13951	189	23	single	single	ADJ
aiti-13951	189	24	neuron	neuron	NOUN
aiti-13951	189	25	using	use	VERB
aiti-13951	189	26	the	the	DET
aiti-13951	189	27	sigmoid	sigmoid	NOUN
aiti-13951	189	28	activation	activation	NOUN
aiti-13951	189	29	function	function	NOUN
aiti-13951	189	30	,	,	PUNCT
aiti-13951	189	31	as	as	SCONJ
aiti-13951	189	32	shown	show	VERB
aiti-13951	189	33	below	below	ADV
aiti-13951	189	34	.	.	PUNCT
aiti-13951	190	1	(	(	PUNCT
aiti-13951	190	2	)	)	SYM
aiti-13951	190	3	3	3	NUM
aiti-13951	190	4	2	2	NUM
aiti-13951	190	5	3sigmoid=	3sigmoid=	NUM
aiti-13951	190	6	×	×	NOUN
aiti-13951	191	1	+	+	NOUN
aiti-13951	191	2	finaloutput	finaloutput	VERB
aiti-13951	191	3	w	w	PROPN
aiti-13951	191	4	output	output	PROPN
aiti-13951	191	5	b	b	PROPN
aiti-13951	191	6	(	(	PUNCT
aiti-13951	191	7	21	21	NUM
aiti-13951	191	8	)	)	PUNCT
aiti-13951	191	9	similar	similar	ADJ
aiti-13951	191	10	to	to	ADP
aiti-13951	191	11	the	the	DET
aiti-13951	191	12	employed	employ	VERB
aiti-13951	191	13	cnn	cnn	PROPN
aiti-13951	191	14	model	model	NOUN
aiti-13951	191	15	,	,	PUNCT
aiti-13951	191	16	the	the	DET
aiti-13951	191	17	dnn	dnn	PROPN
aiti-13951	191	18	model	model	NOUN
aiti-13951	191	19	in	in	ADP
aiti-13951	191	20	this	this	DET
aiti-13951	191	21	study	study	NOUN
aiti-13951	191	22	is	be	AUX
aiti-13951	191	23	compiled	compile	VERB
aiti-13951	191	24	using	use	VERB
aiti-13951	191	25	the	the	DET
aiti-13951	191	26	adam	adam	PROPN
aiti-13951	191	27	optimizer	optimizer	NOUN
aiti-13951	191	28	and	and	CCONJ
aiti-13951	191	29	binary	binary	PROPN
aiti-13951	191	30	cross	cross	NOUN
aiti-13951	191	31	-	-	ADJ
aiti-13951	191	32	entropy	entropy	ADJ
aiti-13951	191	33	loss	loss	NOUN
aiti-13951	191	34	while	while	SCONJ
aiti-13951	191	35	monitoring	monitoring	NOUN
aiti-13951	191	36	accuracy	accuracy	NOUN
aiti-13951	191	37	.	.	PUNCT
aiti-13951	192	1	the	the	DET
aiti-13951	192	2	training	training	NOUN
aiti-13951	192	3	phase	phase	NOUN
aiti-13951	192	4	involves	involve	VERB
aiti-13951	192	5	iterating	iterate	VERB
aiti-13951	192	6	over	over	ADP
aiti-13951	192	7	the	the	DET
aiti-13951	192	8	training	training	NOUN
aiti-13951	192	9	data	datum	NOUN
aiti-13951	192	10	for	for	ADP
aiti-13951	192	11	50	50	NUM
aiti-13951	192	12	epochs	epoch	NOUN
aiti-13951	192	13	with	with	ADP
aiti-13951	192	14	a	a	DET
aiti-13951	192	15	batch	batch	NOUN
aiti-13951	192	16	size	size	NOUN
aiti-13951	192	17	of	of	ADP
aiti-13951	192	18	60	60	NUM
aiti-13951	192	19	,	,	PUNCT
aiti-13951	192	20	utilizing	utilize	VERB
aiti-13951	192	21	validation	validation	NOUN
aiti-13951	192	22	data	datum	NOUN
aiti-13951	192	23	for	for	ADP
aiti-13951	192	24	validation	validation	NOUN
aiti-13951	192	25	purposes	purpose	NOUN
aiti-13951	192	26	.	.	PUNCT
aiti-13951	193	1	fig	fig	NOUN
aiti-13951	193	2	.	.	PUNCT
aiti-13951	194	1	2	2	NUM
aiti-13951	194	2	architecture	architecture	NOUN
aiti-13951	194	3	of	of	ADP
aiti-13951	194	4	the	the	DET
aiti-13951	194	5	dnn	dnn	PROPN
aiti-13951	194	6	model	model	NOUN
aiti-13951	194	7	employed	employ	VERB
aiti-13951	194	8	in	in	ADP
aiti-13951	194	9	the	the	DET
aiti-13951	194	10	study	study	NOUN
aiti-13951	194	11	294	294	NUM
aiti-13951	194	12	advances	advance	NOUN
aiti-13951	194	13	in	in	ADP
aiti-13951	194	14	technology	technology	NOUN
aiti-13951	194	15	innovation	innovation	NOUN
aiti-13951	194	16	,	,	PUNCT
aiti-13951	194	17	vol	vol	NOUN
aiti-13951	194	18	.	.	PROPN
aiti-13951	195	1	9	9	NUM
aiti-13951	195	2	,	,	PUNCT
aiti-13951	195	3	no	no	INTJ
aiti-13951	195	4	.	.	NOUN
aiti-13951	195	5	4	4	NUM
aiti-13951	195	6	,	,	PUNCT
aiti-13951	195	7	2024	2024	NUM
aiti-13951	195	8	,	,	PUNCT
aiti-13951	195	9	pp	pp	ADJ
aiti-13951	195	10	.	.	PUNCT
aiti-13951	196	1	287	287	NUM
aiti-13951	196	2	-	-	SYM
aiti-13951	196	3	300	300	NUM
aiti-13951	196	4	4.3	4.3	NUM
aiti-13951	196	5	.	.	PUNCT
aiti-13951	197	1	long	long	ADJ
aiti-13951	197	2	short	short	ADJ
aiti-13951	197	3	-	-	PUNCT
aiti-13951	197	4	term	term	NOUN
aiti-13951	197	5	memory	memory	NOUN
aiti-13951	197	6	model	model	NOUN
aiti-13951	197	7	the	the	DET
aiti-13951	197	8	employed	employ	VERB
aiti-13951	197	9	lstm	lstm	NOUN
aiti-13951	197	10	model	model	NOUN
aiti-13951	197	11	(	(	PUNCT
aiti-13951	197	12	fig	fig	NOUN
aiti-13951	197	13	.	.	PUNCT
aiti-13951	198	1	3	3	X
aiti-13951	198	2	)	)	PUNCT
aiti-13951	198	3	firstly	firstly	ADV
aiti-13951	198	4	reshapes	reshape	VERB
aiti-13951	198	5	the	the	DET
aiti-13951	198	6	input	input	NOUN
aiti-13951	198	7	data	datum	NOUN
aiti-13951	198	8	$	$	SYM
aiti-13951	198	9	%	%	NOUN
aiti-13951	198	10	&	&	CCONJ
aiti-13951	198	11	'	'	PUNCT
aiti-13951	198	12	�	�	PROPN
aiti-13951	198	13	�	�	PROPN
aiti-13951	198	14	and	and	CCONJ
aiti-13951	198	15	$	$	SYM
aiti-13951	198	16	%	%	NOUN
aiti-13951	198	17	(	(	PUNCT
aiti-13951	198	18	)	)	PUNCT
aiti-13951	198	19	%	%	NOUN
aiti-13951	198	20	for	for	ADP
aiti-13951	198	21	lstm	lstm	ADJ
aiti-13951	198	22	input	input	NOUN
aiti-13951	198	23	compatibility	compatibility	NOUN
aiti-13951	198	24	.	.	PUNCT
aiti-13951	199	1	an	an	DET
aiti-13951	199	2	lstm	lstm	NOUN
aiti-13951	199	3	layer	layer	NOUN
aiti-13951	199	4	is	be	AUX
aiti-13951	199	5	added	add	VERB
aiti-13951	199	6	to	to	ADP
aiti-13951	199	7	the	the	DET
aiti-13951	199	8	sequential	sequential	ADJ
aiti-13951	199	9	model	model	NOUN
aiti-13951	199	10	.	.	PUNCT
aiti-13951	200	1	it	it	PRON
aiti-13951	200	2	consists	consist	VERB
aiti-13951	200	3	of	of	ADP
aiti-13951	200	4	64	64	NUM
aiti-13951	200	5	neurons	neuron	NOUN
aiti-13951	200	6	and	and	CCONJ
aiti-13951	200	7	utilizes	utilize	VERB
aiti-13951	200	8	the	the	DET
aiti-13951	200	9	relu	relu	NOUN
aiti-13951	200	10	activation	activation	NOUN
aiti-13951	200	11	function	function	NOUN
aiti-13951	200	12	.	.	PUNCT
aiti-13951	201	1	the	the	DET
aiti-13951	201	2	lstm	lstm	PROPN
aiti-13951	201	3	cell	cell	NOUN
aiti-13951	201	4	operates	operate	VERB
aiti-13951	201	5	as	as	SCONJ
aiti-13951	201	6	follows	follow	VERB
aiti-13951	201	7	.	.	PUNCT
aiti-13951	202	1	[	[	PUNCT
aiti-13951	202	2	]	]	X
aiti-13951	202	3	(	(	PUNCT
aiti-13951	202	4	)	)	PUNCT
aiti-13951	202	5	1	1	NUM
aiti-13951	202	6	,	,	PUNCT
aiti-13951	202	7	σ	σ	NOUN
aiti-13951	202	8	−	−	NOUN
aiti-13951	203	1	=	=	SYM
aiti-13951	203	2	×	×	PROPN
aiti-13951	204	1	+	+	NOUN
aiti-13951	204	2	t	t	X
aiti-13951	205	1	i	i	PRON
aiti-13951	205	2	t	t	PROPN
aiti-13951	205	3	t	t	PROPN
aiti-13951	205	4	ii	ii	PROPN
aiti-13951	205	5	w	w	PROPN
aiti-13951	205	6	h	h	PROPN
aiti-13951	205	7	x	x	PROPN
aiti-13951	205	8	b	b	X
aiti-13951	205	9	(	(	PUNCT
aiti-13951	205	10	22	22	NUM
aiti-13951	205	11	)	)	PUNCT
aiti-13951	205	12	[	[	PUNCT
aiti-13951	205	13	]	]	X
aiti-13951	205	14	(	(	PUNCT
aiti-13951	205	15	)	)	PUNCT
aiti-13951	205	16	1	1	NUM
aiti-13951	205	17	,	,	PUNCT
aiti-13951	205	18	σ	σ	PROPN
aiti-13951	205	19	−=	−=	NOUN
aiti-13951	205	20	×	×	PROPN
aiti-13951	205	21	+	+	PROPN
aiti-13951	205	22	t	t	NOUN
aiti-13951	205	23	t	t	NOUN
aiti-13951	205	24	tf	tf	INTJ
aiti-13951	205	25	ff	ff	INTJ
aiti-13951	205	26	w	w	PROPN
aiti-13951	205	27	h	h	PROPN
aiti-13951	205	28	x	x	PROPN
aiti-13951	205	29	b	b	X
aiti-13951	205	30	(	(	PUNCT
aiti-13951	205	31	23	23	NUM
aiti-13951	205	32	)	)	PUNCT
aiti-13951	205	33	[	[	PUNCT
aiti-13951	205	34	]	]	X
aiti-13951	205	35	(	(	PUNCT
aiti-13951	205	36	)	)	PUNCT
aiti-13951	205	37	1	1	NUM
aiti-13951	205	38	tanh	tanh	NOUN
aiti-13951	205	39	,	,	PUNCT
aiti-13951	205	40	−	−	PROPN
aiti-13951	205	41	=	=	SYM
aiti-13951	205	42	×	×	PROPN
aiti-13951	206	1	+	+	NOUN
aiti-13951	206	2	t	t	NOUN
aiti-13951	206	3	g	g	PROPN
aiti-13951	206	4	t	t	PROPN
aiti-13951	206	5	t	t	PROPN
aiti-13951	206	6	gg	gg	PROPN
aiti-13951	206	7	w	w	PROPN
aiti-13951	206	8	h	h	PROPN
aiti-13951	206	9	x	x	PROPN
aiti-13951	206	10	b	b	X
aiti-13951	206	11	(	(	PUNCT
aiti-13951	206	12	24	24	NUM
aiti-13951	206	13	)	)	PUNCT
aiti-13951	206	14	[	[	PUNCT
aiti-13951	206	15	]	]	X
aiti-13951	206	16	(	(	PUNCT
aiti-13951	206	17	)	)	PUNCT
aiti-13951	206	18	1	1	NUM
aiti-13951	206	19	,	,	PUNCT
aiti-13951	206	20	σ	σ	NOUN
aiti-13951	207	1	−	−	NOUN
aiti-13951	207	2	=	=	SYM
aiti-13951	208	1	×	×	PROPN
aiti-13951	208	2	+	+	NOUN
aiti-13951	208	3	t	t	X
aiti-13951	208	4	o	o	X
aiti-13951	208	5	t	t	NOUN
aiti-13951	208	6	t	t	X
aiti-13951	209	1	oo	oo	INTJ
aiti-13951	209	2	w	w	PROPN
aiti-13951	209	3	h	h	NOUN
aiti-13951	209	4	x	x	PROPN
aiti-13951	209	5	b	b	X
aiti-13951	209	6	(	(	PUNCT
aiti-13951	209	7	25	25	NUM
aiti-13951	209	8	)	)	PUNCT
aiti-13951	209	9	1−	1−	NUM
aiti-13951	210	1	=	=	PUNCT
aiti-13951	211	1	+	+	NUM
aiti-13951	211	2	⊙	⊙	NOUN
aiti-13951	211	3	⊙t	⊙t	PROPN
aiti-13951	211	4	t	t	PROPN
aiti-13951	211	5	t	t	PROPN
aiti-13951	211	6	t	t	PROPN
aiti-13951	212	1	tc	tc	NOUN
aiti-13951	212	2	f	f	PROPN
aiti-13951	213	1	c	c	VERB
aiti-13951	214	1	i	i	PRON
aiti-13951	214	2	g	g	PROPN
aiti-13951	214	3	(	(	PUNCT
aiti-13951	214	4	26	26	NUM
aiti-13951	214	5	)	)	PUNCT
aiti-13951	214	6	(	(	PUNCT
aiti-13951	214	7	)	)	PUNCT
aiti-13951	214	8	tanh=	tanh=	NUM
aiti-13951	214	9	⊙t	⊙t	NOUN
aiti-13951	214	10	t	t	X
aiti-13951	214	11	th	th	X
aiti-13951	214	12	o	o	X
aiti-13951	214	13	c	c	X
aiti-13951	214	14	(	(	PUNCT
aiti-13951	214	15	27	27	NUM
aiti-13951	214	16	)	)	PUNCT
aiti-13951	214	17	here	here	ADV
aiti-13951	214	18	,	,	PUNCT
aiti-13951	214	19	�	�	NOUN
aiti-13951	214	20	%	%	NOUN
aiti-13951	214	21	is	be	AUX
aiti-13951	214	22	input	input	NOUN
aiti-13951	214	23	gate	gate	NOUN
aiti-13951	214	24	,	,	PUNCT
aiti-13951	214	25	�	�	PROPN
aiti-13951	214	26	%	%	NOUN
aiti-13951	214	27	is	be	AUX
aiti-13951	214	28	forget	forget	VERB
aiti-13951	214	29	gate	gate	NOUN
aiti-13951	214	30	,	,	PUNCT
aiti-13951	214	31	*	*	PUNCT
aiti-13951	214	32	%	%	NOUN
aiti-13951	214	33	cell	cell	NOUN
aiti-13951	214	34	gate	gate	NOUN
aiti-13951	214	35	,	,	PUNCT
aiti-13951	214	36	+	+	NUM
aiti-13951	214	37	%	%	NOUN
aiti-13951	214	38	is	be	AUX
aiti-13951	214	39	output	output	NOUN
aiti-13951	214	40	gate	gate	NOUN
aiti-13951	214	41	,	,	PUNCT
aiti-13951	214	42	�	�	PROPN
aiti-13951	214	43	%	%	NOUN
aiti-13951	214	44	is	be	AUX
aiti-13951	214	45	cell	cell	NOUN
aiti-13951	214	46	state	state	NOUN
aiti-13951	214	47	,	,	PUNCT
aiti-13951	214	48	ℎ%	ℎ%	PROPN
aiti-13951	214	49	is	be	AUX
aiti-13951	214	50	the	the	DET
aiti-13951	214	51	hidden	hidden	ADJ
aiti-13951	214	52	state	state	NOUN
aiti-13951	214	53	,	,	PUNCT
aiti-13951	214	54	�	�	NOUN
aiti-13951	214	55	%	%	NOUN
aiti-13951	214	56	input	input	NOUN
aiti-13951	214	57	at	at	ADP
aiti-13951	214	58	timestep	timestep	NOUN
aiti-13951	214	59	at	at	ADP
aiti-13951	214	60	�	�	PROPN
aiti-13951	214	61	,	,	PUNCT
aiti-13951	214	62	the	the	DET
aiti-13951	214	63	weight	weight	NOUN
aiti-13951	214	64	matrices	matrix	NOUN
aiti-13951	214	65	are	be	AUX
aiti-13951	214	66	!	!	PUNCT
aiti-13951	214	67	�	�	PROPN
aiti-13951	214	68	,	,	PUNCT
aiti-13951	214	69	!	!	PUNCT
aiti-13951	214	70	-	-	PUNCT
aiti-13951	214	71	,	,	PUNCT
aiti-13951	214	72	!	!	PUNCT
aiti-13951	215	1	*	*	PUNCT
aiti-13951	215	2	,	,	PUNCT
aiti-13951	215	3	!	!	PUNCT
aiti-13951	215	4	.	.	PUNCT
aiti-13951	216	1	and	and	CCONJ
aiti-13951	216	2	the	the	DET
aiti-13951	216	3	bias	bias	NOUN
aiti-13951	216	4	terms	term	NOUN
aiti-13951	216	5	are	be	AUX
aiti-13951	216	6	"	"	PUNCT
aiti-13951	216	7	�	�	PROPN
aiti-13951	216	8	,	,	PUNCT
aiti-13951	216	9	"	"	PUNCT
aiti-13951	216	10	-	-	INTJ
aiti-13951	216	11	,	,	PUNCT
aiti-13951	216	12	"	"	PUNCT
aiti-13951	216	13	*	*	PUNCT
aiti-13951	216	14	,	,	PUNCT
aiti-13951	216	15	"	"	PUNCT
aiti-13951	216	16	..	..	PUNCT
aiti-13951	216	17	the	the	DET
aiti-13951	216	18	output	output	NOUN
aiti-13951	216	19	layer	layer	NOUN
aiti-13951	216	20	is	be	AUX
aiti-13951	216	21	the	the	DET
aiti-13951	216	22	dense	dense	ADJ
aiti-13951	216	23	layer	layer	NOUN
aiti-13951	216	24	with	with	ADP
aiti-13951	216	25	a	a	DET
aiti-13951	216	26	single	single	ADJ
aiti-13951	216	27	neuron	neuron	NOUN
aiti-13951	216	28	and	and	CCONJ
aiti-13951	216	29	sigmoid	sigmoid	NOUN
aiti-13951	216	30	activation	activation	NOUN
aiti-13951	216	31	for	for	ADP
aiti-13951	216	32	binary	binary	ADJ
aiti-13951	216	33	classification	classification	NOUN
aiti-13951	216	34	.	.	PUNCT
aiti-13951	217	1	the	the	DET
aiti-13951	217	2	model	model	NOUN
aiti-13951	217	3	is	be	AUX
aiti-13951	217	4	compiled	compile	VERB
aiti-13951	217	5	with	with	ADP
aiti-13951	217	6	the	the	DET
aiti-13951	217	7	adam	adam	PROPN
aiti-13951	217	8	optimizer	optimizer	NOUN
aiti-13951	217	9	and	and	CCONJ
aiti-13951	217	10	binary	binary	PROPN
aiti-13951	217	11	cross	cross	PROPN
aiti-13951	217	12	-	-	ADJ
aiti-13951	217	13	entropy	entropy	ADJ
aiti-13951	217	14	loss	loss	NOUN
aiti-13951	217	15	,	,	PUNCT
aiti-13951	217	16	as	as	SCONJ
aiti-13951	217	17	shown	show	VERB
aiti-13951	217	18	below	below	ADV
aiti-13951	217	19	.	.	PUNCT
aiti-13951	218	1	(	(	PUNCT
aiti-13951	218	2	)	)	PUNCT
aiti-13951	218	3	sigmoid=	sigmoid=	NUM
aiti-13951	218	4	×	×	NOUN
aiti-13951	218	5	+	+	CCONJ
aiti-13951	218	6	lstmout	lstmout	NOUN
aiti-13951	218	7	outfinaloutput	outfinaloutput	NOUN
aiti-13951	218	8	w	w	PROPN
aiti-13951	218	9	output	output	PROPN
aiti-13951	218	10	b	b	PROPN
aiti-13951	218	11	(	(	PUNCT
aiti-13951	218	12	28	28	NUM
aiti-13951	218	13	)	)	PUNCT
aiti-13951	218	14	(	(	PUNCT
aiti-13951	218	15	)	)	PUNCT
aiti-13951	218	16	(	(	PUNCT
aiti-13951	218	17	)	)	PUNCT
aiti-13951	218	18	(	(	PUNCT
aiti-13951	218	19	)	)	PUNCT
aiti-13951	218	20	(	(	PUNCT
aiti-13951	218	21	)	)	SYM
aiti-13951	218	22	1	1	NUM
aiti-13951	218	23	1	1	NUM
aiti-13951	218	24	,	,	PUNCT
aiti-13951	218	25	log	log	VERB
aiti-13951	218	26	1	1	NUM
aiti-13951	218	27	log	log	NOUN
aiti-13951	218	28	1	1	NUM
aiti-13951	218	29	=	=	SYM
aiti-13951	218	30			PROPN
aiti-13951	218	31	=	=	NOUN
aiti-13951	218	32	−	−	PROPN
aiti-13951	218	33	×	×	NOUN
aiti-13951	218	34	+	+	CCONJ
aiti-13951	218	35	−	−	PROPN
aiti-13951	218	36	×	×	NOUN
aiti-13951	218	37	−	−	NOUN
aiti-13951	218	38			NOUN
aiti-13951	218	39			VERB
aiti-13951	218	40	n	n	CCONJ
aiti-13951	218	41	true	true	ADJ
aiti-13951	218	42	true	true	ADJ
aiti-13951	218	43	truepred	truepred	ADJ
aiti-13951	218	44	pred	pre	VERB
aiti-13951	218	45	predi	predi	NOUN
aiti-13951	218	46	l	l	PROPN
aiti-13951	218	47	y	y	PROPN
aiti-13951	219	1	y	y	PROPN
aiti-13951	219	2	y	y	PROPN
aiti-13951	219	3	y	y	PROPN
aiti-13951	219	4	y	y	PROPN
aiti-13951	219	5	y	y	PROPN
aiti-13951	219	6	n	n	PROPN
aiti-13951	219	7	(	(	PUNCT
aiti-13951	219	8	29	29	NUM
aiti-13951	219	9	)	)	PUNCT
aiti-13951	219	10	here	here	ADV
aiti-13951	219	11	,	,	PUNCT
aiti-13951	219	12	�	�	PROPN
aiti-13951	219	13	is	be	AUX
aiti-13951	219	14	the	the	DET
aiti-13951	219	15	total	total	ADJ
aiti-13951	219	16	number	number	NOUN
aiti-13951	219	17	of	of	ADP
aiti-13951	219	18	data	datum	NOUN
aiti-13951	219	19	points	point	NOUN
aiti-13951	219	20	.	.	PUNCT
aiti-13951	220	1	during	during	ADP
aiti-13951	220	2	training	training	NOUN
aiti-13951	220	3	,	,	PUNCT
aiti-13951	220	4	the	the	DET
aiti-13951	220	5	model	model	NOUN
aiti-13951	220	6	learns	learn	VERB
aiti-13951	220	7	parameters	parameter	NOUN
aiti-13951	220	8	by	by	ADP
aiti-13951	220	9	minimizing	minimize	VERB
aiti-13951	220	10	the	the	DET
aiti-13951	220	11	defined	define	VERB
aiti-13951	220	12	loss	loss	NOUN
aiti-13951	220	13	function	function	NOUN
aiti-13951	220	14	.	.	PUNCT
aiti-13951	221	1	the	the	DET
aiti-13951	221	2	evaluation	evaluation	NOUN
aiti-13951	221	3	computes	compute	VERB
aiti-13951	221	4	the	the	DET
aiti-13951	221	5	loss	loss	NOUN
aiti-13951	221	6	(	(	PUNCT
aiti-13951	221	7	/	/	SYM
aiti-13951	221	8	)	)	PUNCT
aiti-13951	221	9	and	and	CCONJ
aiti-13951	221	10	accuracy	accuracy	NOUN
aiti-13951	221	11	metrics	metric	NOUN
aiti-13951	221	12	based	base	VERB
aiti-13951	221	13	on	on	ADP
aiti-13951	221	14	the	the	DET
aiti-13951	221	15	test	test	NOUN
aiti-13951	221	16	data	datum	NOUN
aiti-13951	221	17	.	.	PUNCT
aiti-13951	222	1	predictions	prediction	NOUN
aiti-13951	222	2	(	(	PUNCT
aiti-13951	222	3	0&(1	0&(1	NOUN
aiti-13951	222	4	)	)	PUNCT
aiti-13951	222	5	are	be	AUX
aiti-13951	222	6	generated	generate	VERB
aiti-13951	222	7	using	use	VERB
aiti-13951	222	8	the	the	DET
aiti-13951	222	9	trained	train	VERB
aiti-13951	222	10	lstm	lstm	NOUN
aiti-13951	222	11	model	model	NOUN
aiti-13951	222	12	,	,	PUNCT
aiti-13951	222	13	providing	provide	VERB
aiti-13951	222	14	probabilities	probability	NOUN
aiti-13951	222	15	for	for	ADP
aiti-13951	222	16	binary	binary	ADJ
aiti-13951	222	17	classification	classification	NOUN
aiti-13951	222	18	tasks	task	NOUN
aiti-13951	222	19	.	.	PUNCT
aiti-13951	223	1	fig	fig	NOUN
aiti-13951	223	2	.	.	PUNCT
aiti-13951	224	1	3	3	NUM
aiti-13951	224	2	architecture	architecture	NOUN
aiti-13951	224	3	of	of	ADP
aiti-13951	224	4	the	the	DET
aiti-13951	224	5	lstm	lstm	PROPN
aiti-13951	224	6	model	model	NOUN
aiti-13951	224	7	employed	employ	VERB
aiti-13951	224	8	in	in	ADP
aiti-13951	224	9	the	the	DET
aiti-13951	224	10	study	study	NOUN
aiti-13951	224	11	4.4	4.4	NUM
aiti-13951	224	12	.	.	PUNCT
aiti-13951	225	1	custom	custom	NOUN
aiti-13951	225	2	neural	neural	ADJ
aiti-13951	225	3	network	network	NOUN
aiti-13951	225	4	the	the	DET
aiti-13951	225	5	custom	custom	ADV
aiti-13951	225	6	-	-	PUNCT
aiti-13951	225	7	designed	design	VERB
aiti-13951	225	8	nn	nn	NOUN
aiti-13951	225	9	for	for	ADP
aiti-13951	225	10	the	the	DET
aiti-13951	225	11	study	study	NOUN
aiti-13951	225	12	(	(	PUNCT
aiti-13951	225	13	fig	fig	NOUN
aiti-13951	225	14	.	.	PUNCT
aiti-13951	226	1	4	4	X
aiti-13951	226	2	)	)	PUNCT
aiti-13951	226	3	comprises	comprise	VERB
aiti-13951	226	4	several	several	ADJ
aiti-13951	226	5	densely	densely	ADV
aiti-13951	226	6	connected	connect	VERB
aiti-13951	226	7	layers	layer	NOUN
aiti-13951	226	8	followed	follow	VERB
aiti-13951	226	9	by	by	ADP
aiti-13951	226	10	batch	batch	NOUN
aiti-13951	226	11	normalization	normalization	NOUN
aiti-13951	226	12	and	and	CCONJ
aiti-13951	226	13	dropout	dropout	NOUN
aiti-13951	226	14	layers	layer	NOUN
aiti-13951	226	15	.	.	PUNCT
aiti-13951	227	1	the	the	DET
aiti-13951	227	2	dense	dense	ADJ
aiti-13951	227	3	layers	layer	NOUN
aiti-13951	227	4	,	,	PUNCT
aiti-13951	227	5	as	as	SCONJ
aiti-13951	227	6	shown	show	VERB
aiti-13951	227	7	in	in	ADP
aiti-13951	227	8	the	the	DET
aiti-13951	227	9	following	follow	VERB
aiti-13951	227	10	equations	equation	NOUN
aiti-13951	227	11	,	,	PUNCT
aiti-13951	227	12	contain	contain	VERB
aiti-13951	227	13	256	256	NUM
aiti-13951	227	14	,	,	PUNCT
aiti-13951	227	15	128	128	NUM
aiti-13951	227	16	,	,	PUNCT
aiti-13951	227	17	64	64	NUM
aiti-13951	227	18	,	,	PUNCT
aiti-13951	227	19	32	32	NUM
aiti-13951	227	20	,	,	PUNCT
aiti-13951	227	21	and	and	CCONJ
aiti-13951	227	22	16	16	NUM
aiti-13951	227	23	neurons	neuron	NOUN
aiti-13951	227	24	respectively	respectively	ADV
aiti-13951	227	25	,	,	PUNCT
aiti-13951	227	26	with	with	ADP
aiti-13951	227	27	relu	relu	NOUN
aiti-13951	227	28	activation	activation	NOUN
aiti-13951	227	29	functions	function	NOUN
aiti-13951	227	30	,	,	PUNCT
aiti-13951	227	31	l2	l2	NOUN
aiti-13951	227	32	regularization	regularization	NOUN
aiti-13951	227	33	,	,	PUNCT
aiti-13951	227	34	and	and	CCONJ
aiti-13951	227	35	input	input	NOUN
aiti-13951	227	36	dimensions	dimension	NOUN
aiti-13951	227	37	matching	match	VERB
aiti-13951	227	38	the	the	DET
aiti-13951	227	39	feature	feature	NOUN
aiti-13951	227	40	size	size	NOUN
aiti-13951	227	41	of	of	ADP
aiti-13951	227	42	$	$	SYM
aiti-13951	227	43	%	%	NOUN
aiti-13951	227	44	&	&	CCONJ
aiti-13951	227	45	'	'	PUNCT
aiti-13951	227	46	�	�	PROPN
aiti-13951	227	47	�	�	PROPN
aiti-13951	227	48	.	.	PUNCT
aiti-13951	228	1	advances	advance	NOUN
aiti-13951	228	2	in	in	ADP
aiti-13951	228	3	technology	technology	NOUN
aiti-13951	228	4	innovation	innovation	NOUN
aiti-13951	228	5	,	,	PUNCT
aiti-13951	228	6	vol	vol	NOUN
aiti-13951	228	7	.	.	PROPN
aiti-13951	229	1	9	9	NUM
aiti-13951	229	2	,	,	PUNCT
aiti-13951	229	3	no	no	INTJ
aiti-13951	229	4	.	.	NOUN
aiti-13951	229	5	4	4	NUM
aiti-13951	229	6	,	,	PUNCT
aiti-13951	229	7	2024	2024	NUM
aiti-13951	229	8	,	,	PUNCT
aiti-13951	229	9	pp	pp	ADJ
aiti-13951	229	10	.	.	PUNCT
aiti-13951	230	1	287	287	NUM
aiti-13951	230	2	-	-	SYM
aiti-13951	230	3	300	300	NUM
aiti-13951	230	4	295	295	NUM
aiti-13951	230	5	(	(	PUNCT
aiti-13951	230	6	)	)	PUNCT
aiti-13951	230	7	1−	1−	NUM
aiti-13951	230	8	=	=	SYM
aiti-13951	230	9	×	×	PROPN
aiti-13951	230	10	+	+	CCONJ
aiti-13951	230	11	ii	ii	NOUN
aiti-13951	231	1	i	i	INTJ
aiti-13951	231	2	i	i	PRON
aiti-13951	231	3	z	z	VERB
aiti-13951	231	4	w	w	VERB
aiti-13951	231	5	a	a	DET
aiti-13951	231	6	b	b	PROPN
aiti-13951	231	7	(	(	PUNCT
aiti-13951	231	8	30	30	NUM
aiti-13951	231	9	)	)	PUNCT
aiti-13951	231	10	(	(	PUNCT
aiti-13951	231	11	)	)	PUNCT
aiti-13951	231	12	re	re	X
aiti-13951	231	13	lu	lu	X
aiti-13951	231	14	=	=	NOUN
aiti-13951	231	15	i	i	PRON
aiti-13951	231	16	i	i	PRON
aiti-13951	231	17	a	a	DET
aiti-13951	231	18	z	z	NOUN
aiti-13951	231	19	(	(	PUNCT
aiti-13951	231	20	31	31	NUM
aiti-13951	231	21	)	)	PUNCT
aiti-13951	231	22	here	here	ADV
aiti-13951	231	23	,	,	PUNCT
aiti-13951	231	24	2	2	NUM
aiti-13951	231	25	�	�	PROPN
aiti-13951	231	26	is	be	AUX
aiti-13951	231	27	the	the	DET
aiti-13951	231	28	weight	weight	NOUN
aiti-13951	231	29	,	,	PUNCT
aiti-13951	231	30	"	"	PUNCT
aiti-13951	231	31	�	�	PROPN
aiti-13951	231	32	is	be	AUX
aiti-13951	231	33	the	the	DET
aiti-13951	231	34	bias	bias	NOUN
aiti-13951	231	35	and	and	CCONJ
aiti-13951	231	36	3	3	NUM
aiti-13951	231	37	�	�	NOUN
aiti-13951	231	38	is	be	AUX
aiti-13951	231	39	the	the	DET
aiti-13951	231	40	activation	activation	NOUN
aiti-13951	231	41	output	output	NOUN
aiti-13951	231	42	.	.	PUNCT
aiti-13951	232	1	the	the	DET
aiti-13951	232	2	batch	batch	NOUN
aiti-13951	232	3	normalization	normalization	NOUN
aiti-13951	232	4	layers	layer	NOUN
aiti-13951	232	5	normalize	normalize	VERB
aiti-13951	232	6	the	the	DET
aiti-13951	232	7	outputs	output	NOUN
aiti-13951	232	8	of	of	ADP
aiti-13951	232	9	the	the	DET
aiti-13951	232	10	previous	previous	ADJ
aiti-13951	232	11	layers	layer	NOUN
aiti-13951	232	12	to	to	PART
aiti-13951	232	13	stabilize	stabilize	VERB
aiti-13951	232	14	and	and	CCONJ
aiti-13951	232	15	improve	improve	VERB
aiti-13951	232	16	the	the	DET
aiti-13951	232	17	training	training	NOUN
aiti-13951	232	18	process	process	NOUN
aiti-13951	232	19	by	by	ADP
aiti-13951	232	20	reducing	reduce	VERB
aiti-13951	232	21	internal	internal	ADJ
aiti-13951	232	22	covariate	covariate	ADJ
aiti-13951	232	23	shifts	shift	NOUN
aiti-13951	232	24	.	.	PUNCT
aiti-13951	233	1	each	each	DET
aiti-13951	233	2	dropout	dropout	NOUN
aiti-13951	233	3	layer	layer	NOUN
aiti-13951	233	4	randomly	randomly	ADV
aiti-13951	233	5	sets	set	VERB
aiti-13951	233	6	a	a	DET
aiti-13951	233	7	fraction	fraction	NOUN
aiti-13951	233	8	of	of	ADP
aiti-13951	233	9	input	input	NOUN
aiti-13951	233	10	units	unit	NOUN
aiti-13951	233	11	to	to	ADP
aiti-13951	233	12	zero	zero	NUM
aiti-13951	233	13	during	during	ADP
aiti-13951	233	14	training	training	NOUN
aiti-13951	233	15	to	to	PART
aiti-13951	233	16	prevent	prevent	VERB
aiti-13951	233	17	overfitting	overfitting	NOUN
aiti-13951	233	18	.	.	PUNCT
aiti-13951	234	1	it	it	PRON
aiti-13951	234	2	aids	aid	VERB
aiti-13951	234	3	in	in	ADP
aiti-13951	234	4	regularization	regularization	NOUN
aiti-13951	234	5	by	by	ADP
aiti-13951	234	6	reducing	reduce	VERB
aiti-13951	234	7	interdependent	interdependent	ADJ
aiti-13951	234	8	learning	learning	NOUN
aiti-13951	234	9	among	among	ADP
aiti-13951	234	10	neurons	neuron	NOUN
aiti-13951	234	11	.	.	PUNCT
aiti-13951	235	1	the	the	DET
aiti-13951	235	2	model	model	NOUN
aiti-13951	235	3	is	be	AUX
aiti-13951	235	4	compiled	compile	VERB
aiti-13951	235	5	using	use	VERB
aiti-13951	235	6	the	the	DET
aiti-13951	235	7	adam	adam	PROPN
aiti-13951	235	8	optimizer	optimizer	NOUN
aiti-13951	235	9	with	with	ADP
aiti-13951	235	10	a	a	DET
aiti-13951	235	11	learning	learn	VERB
aiti-13951	235	12	rate	rate	NOUN
aiti-13951	235	13	of	of	ADP
aiti-13951	235	14	0.001	0.001	NUM
aiti-13951	235	15	and	and	CCONJ
aiti-13951	235	16	binary	binary	ADJ
aiti-13951	235	17	cross	cross	NOUN
aiti-13951	235	18	-	-	ADJ
aiti-13951	235	19	entropy	entropy	ADJ
aiti-13951	235	20	loss	loss	NOUN
aiti-13951	235	21	function	function	NOUN
aiti-13951	235	22	,	,	PUNCT
aiti-13951	235	23	aiming	aim	VERB
aiti-13951	235	24	to	to	PART
aiti-13951	235	25	minimize	minimize	VERB
aiti-13951	235	26	the	the	DET
aiti-13951	235	27	difference	difference	NOUN
aiti-13951	235	28	between	between	ADP
aiti-13951	235	29	predicted	predict	VERB
aiti-13951	235	30	and	and	CCONJ
aiti-13951	235	31	true	true	ADJ
aiti-13951	235	32	labels	label	NOUN
aiti-13951	235	33	for	for	ADP
aiti-13951	235	34	binary	binary	ADJ
aiti-13951	235	35	classification	classification	NOUN
aiti-13951	235	36	tasks	task	NOUN
aiti-13951	235	37	.	.	PUNCT
aiti-13951	236	1	after	after	ADP
aiti-13951	236	2	training	training	NOUN
aiti-13951	236	3	,	,	PUNCT
aiti-13951	236	4	the	the	DET
aiti-13951	236	5	model	model	NOUN
aiti-13951	236	6	is	be	AUX
aiti-13951	236	7	evaluated	evaluate	VERB
aiti-13951	236	8	using	use	VERB
aiti-13951	236	9	the	the	DET
aiti-13951	236	10	test	test	NOUN
aiti-13951	236	11	dataset	dataset	VERB
aiti-13951	236	12	to	to	PART
aiti-13951	236	13	calculate	calculate	VERB
aiti-13951	236	14	the	the	DET
aiti-13951	236	15	loss	loss	NOUN
aiti-13951	236	16	and	and	CCONJ
aiti-13951	236	17	accuracy	accuracy	NOUN
aiti-13951	236	18	metrics	metric	NOUN
aiti-13951	236	19	.	.	PUNCT
aiti-13951	237	1	fig	fig	NOUN
aiti-13951	237	2	.	.	PUNCT
aiti-13951	238	1	4	4	NUM
aiti-13951	238	2	architecture	architecture	NOUN
aiti-13951	238	3	of	of	ADP
aiti-13951	238	4	custom	custom	NOUN
aiti-13951	238	5	nn	nn	PROPN
aiti-13951	238	6	model	model	NOUN
aiti-13951	238	7	employed	employ	VERB
aiti-13951	238	8	in	in	ADP
aiti-13951	238	9	the	the	DET
aiti-13951	238	10	study	study	NOUN
aiti-13951	238	11	4.5	4.5	NUM
aiti-13951	238	12	.	.	PUNCT
aiti-13951	239	1	evaluation	evaluation	NOUN
aiti-13951	239	2	metrics	metric	NOUN
aiti-13951	239	3	the	the	DET
aiti-13951	239	4	parameters	parameter	NOUN
aiti-13951	239	5	to	to	PART
aiti-13951	239	6	evaluate	evaluate	VERB
aiti-13951	239	7	the	the	DET
aiti-13951	239	8	performance	performance	NOUN
aiti-13951	239	9	of	of	ADP
aiti-13951	239	10	this	this	DET
aiti-13951	239	11	study	study	NOUN
aiti-13951	239	12	are	be	AUX
aiti-13951	239	13	as	as	SCONJ
aiti-13951	239	14	follows	follow	VERB
aiti-13951	239	15	.	.	PUNCT
aiti-13951	240	1	here	here	ADV
aiti-13951	240	2	,	,	PUNCT
aiti-13951	240	3	true	true	ADJ
aiti-13951	240	4	positive	positive	ADJ
aiti-13951	240	5	(	(	PUNCT
aiti-13951	240	6	tp	tp	NOUN
aiti-13951	240	7	)	)	PUNCT
aiti-13951	240	8	,	,	PUNCT
aiti-13951	240	9	false	false	ADJ
aiti-13951	240	10	positive	positive	ADJ
aiti-13951	240	11	(	(	PUNCT
aiti-13951	240	12	fp	fp	NOUN
aiti-13951	240	13	)	)	PUNCT
aiti-13951	240	14	,	,	PUNCT
aiti-13951	240	15	true	true	ADJ
aiti-13951	240	16	negative	negative	ADJ
aiti-13951	240	17	(	(	PUNCT
aiti-13951	240	18	tn	tn	NOUN
aiti-13951	240	19	)	)	PUNCT
aiti-13951	240	20	,	,	PUNCT
aiti-13951	240	21	and	and	CCONJ
aiti-13951	240	22	false	false	ADJ
aiti-13951	240	23	negative	negative	ADJ
aiti-13951	240	24	(	(	PUNCT
aiti-13951	240	25	fn	fn	NOUN
aiti-13951	240	26	)	)	PUNCT
aiti-13951	240	27	are	be	AUX
aiti-13951	240	28	defined	define	VERB
aiti-13951	240	29	.	.	PUNCT
aiti-13951	241	1	accuracy	accuracy	NOUN
aiti-13951	241	2	indicates	indicate	VERB
aiti-13951	241	3	the	the	DET
aiti-13951	241	4	fraction	fraction	NOUN
aiti-13951	241	5	of	of	ADP
aiti-13951	241	6	the	the	DET
aiti-13951	241	7	total	total	ADJ
aiti-13951	241	8	samples	sample	NOUN
aiti-13951	241	9	that	that	PRON
aiti-13951	241	10	were	be	AUX
aiti-13951	241	11	correctly	correctly	ADV
aiti-13951	241	12	classified	classify	VERB
aiti-13951	241	13	by	by	ADP
aiti-13951	241	14	the	the	DET
aiti-13951	241	15	classifier	classifier	NOUN
aiti-13951	241	16	,	,	PUNCT
aiti-13951	241	17	as	as	SCONJ
aiti-13951	241	18	follows	follow	VERB
aiti-13951	241	19	.	.	PUNCT
aiti-13951	242	1	tp	tp	ADP
aiti-13951	242	2	tn	tn	PROPN
aiti-13951	242	3	accuracy	accuracy	NOUN
aiti-13951	242	4	tp	tp	ADP
aiti-13951	242	5	tn	tn	PROPN
aiti-13951	242	6	fp	fp	PROPN
aiti-13951	242	7	fn	fn	NOUN
aiti-13951	243	1	+	+	NOUN
aiti-13951	243	2	=	=	PUNCT
aiti-13951	244	1	+	+	PUNCT
aiti-13951	244	2	+	+	PUNCT
aiti-13951	244	3	+	+	CCONJ
aiti-13951	244	4	(	(	PUNCT
aiti-13951	244	5	32	32	NUM
aiti-13951	244	6	)	)	PUNCT
aiti-13951	244	7	recall	recall	NOUN
aiti-13951	244	8	measures	measure	NOUN
aiti-13951	244	9	the	the	DET
aiti-13951	244	10	proportion	proportion	NOUN
aiti-13951	244	11	of	of	ADP
aiti-13951	244	12	actual	actual	ADJ
aiti-13951	244	13	positives	positive	NOUN
aiti-13951	244	14	that	that	PRON
aiti-13951	244	15	were	be	AUX
aiti-13951	244	16	correctly	correctly	ADV
aiti-13951	244	17	identified	identify	VERB
aiti-13951	244	18	by	by	ADP
aiti-13951	244	19	the	the	DET
aiti-13951	244	20	model	model	NOUN
aiti-13951	244	21	,	,	PUNCT
aiti-13951	244	22	as	as	SCONJ
aiti-13951	244	23	follows	follow	VERB
aiti-13951	244	24	.	.	PUNCT
aiti-13951	245	1	tp	tp	PART
aiti-13951	245	2	recall	recall	VERB
aiti-13951	245	3	tp	tp	ADP
aiti-13951	245	4	fn	fn	NOUN
aiti-13951	245	5	=	=	PUNCT
aiti-13951	246	1	+	+	CCONJ
aiti-13951	246	2	(	(	PUNCT
aiti-13951	246	3	33	33	NUM
aiti-13951	246	4	)	)	PUNCT
aiti-13951	246	5	precision	precision	NOUN
aiti-13951	246	6	measures	measure	VERB
aiti-13951	246	7	the	the	DET
aiti-13951	246	8	proportion	proportion	NOUN
aiti-13951	246	9	of	of	ADP
aiti-13951	246	10	correct	correct	ADJ
aiti-13951	246	11	positive	positive	ADJ
aiti-13951	246	12	predictions	prediction	NOUN
aiti-13951	246	13	,	,	PUNCT
aiti-13951	246	14	as	as	SCONJ
aiti-13951	246	15	follows	follow	VERB
aiti-13951	246	16	.	.	PUNCT
aiti-13951	247	1	tp	tp	AUX
aiti-13951	247	2	precision	precision	VERB
aiti-13951	247	3	tp	tp	ADP
aiti-13951	247	4	fp	fp	PROPN
aiti-13951	247	5	=	=	PUNCT
aiti-13951	247	6	+	+	CCONJ
aiti-13951	247	7	(	(	PUNCT
aiti-13951	247	8	34	34	NUM
aiti-13951	247	9	)	)	PUNCT
aiti-13951	247	10	specificity	specificity	NOUN
aiti-13951	247	11	measures	measure	VERB
aiti-13951	247	12	the	the	DET
aiti-13951	247	13	proportion	proportion	NOUN
aiti-13951	247	14	of	of	ADP
aiti-13951	247	15	actual	actual	ADJ
aiti-13951	247	16	negatives	negative	NOUN
aiti-13951	247	17	that	that	PRON
aiti-13951	247	18	were	be	AUX
aiti-13951	247	19	correctly	correctly	ADV
aiti-13951	247	20	identified	identify	VERB
aiti-13951	247	21	by	by	ADP
aiti-13951	247	22	the	the	DET
aiti-13951	247	23	model	model	NOUN
aiti-13951	247	24	,	,	PUNCT
aiti-13951	247	25	as	as	SCONJ
aiti-13951	247	26	follows	follow	VERB
aiti-13951	247	27	.	.	PUNCT
aiti-13951	248	1	tn	tn	PROPN
aiti-13951	248	2	specifity	specifity	PROPN
aiti-13951	248	3	tn	tn	PROPN
aiti-13951	248	4	fp	fp	PROPN
aiti-13951	248	5	=	=	X
aiti-13951	249	1	+	+	CCONJ
aiti-13951	249	2	(	(	PUNCT
aiti-13951	249	3	35	35	NUM
aiti-13951	249	4	)	)	PUNCT
aiti-13951	249	5	296	296	NUM
aiti-13951	249	6	advances	advance	NOUN
aiti-13951	249	7	in	in	ADP
aiti-13951	249	8	technology	technology	NOUN
aiti-13951	249	9	innovation	innovation	NOUN
aiti-13951	249	10	,	,	PUNCT
aiti-13951	249	11	vol	vol	NOUN
aiti-13951	249	12	.	.	PROPN
aiti-13951	250	1	9	9	NUM
aiti-13951	250	2	,	,	PUNCT
aiti-13951	250	3	no	no	INTJ
aiti-13951	250	4	.	.	NOUN
aiti-13951	250	5	4	4	NUM
aiti-13951	250	6	,	,	PUNCT
aiti-13951	250	7	2024	2024	NUM
aiti-13951	250	8	,	,	PUNCT
aiti-13951	250	9	pp	pp	ADJ
aiti-13951	250	10	.	.	PUNCT
aiti-13951	251	1	287	287	NUM
aiti-13951	251	2	-	-	SYM
aiti-13951	251	3	300	300	NUM
aiti-13951	251	4	the	the	DET
aiti-13951	251	5	f1	f1	NOUN
aiti-13951	251	6	-	-	PUNCT
aiti-13951	251	7	score	score	NOUN
aiti-13951	251	8	reflects	reflect	VERB
aiti-13951	251	9	the	the	DET
aiti-13951	251	10	stability	stability	NOUN
aiti-13951	251	11	of	of	ADP
aiti-13951	251	12	the	the	DET
aiti-13951	251	13	models	model	NOUN
aiti-13951	251	14	by	by	ADP
aiti-13951	251	15	evaluating	evaluate	VERB
aiti-13951	251	16	the	the	DET
aiti-13951	251	17	balance	balance	NOUN
aiti-13951	251	18	between	between	ADP
aiti-13951	251	19	precision	precision	NOUN
aiti-13951	251	20	and	and	CCONJ
aiti-13951	251	21	recall	recall	NOUN
aiti-13951	251	22	,	,	PUNCT
aiti-13951	251	23	as	as	SCONJ
aiti-13951	251	24	follows	follow	VERB
aiti-13951	251	25	.	.	PUNCT
aiti-13951	252	1	(	(	PUNCT
aiti-13951	252	2	)	)	SYM
aiti-13951	252	3	2	2	NUM
aiti-13951	252	4	precision	precision	NOUN
aiti-13951	252	5	recall	recall	NOUN
aiti-13951	252	6	f1	f1	NOUN
aiti-13951	252	7	-	-	PUNCT
aiti-13951	252	8	score	score	NOUN
aiti-13951	252	9	precision	precision	NOUN
aiti-13951	252	10	recall	recall	VERB
aiti-13951	252	11	×	×	NOUN
aiti-13951	252	12	×	×	NOUN
aiti-13951	252	13	=	=	PUNCT
aiti-13951	253	1	+	+	CCONJ
aiti-13951	253	2	(	(	PUNCT
aiti-13951	253	3	36	36	NUM
aiti-13951	253	4	)	)	PUNCT
aiti-13951	254	1	the	the	DET
aiti-13951	254	2	receiver	receiver	NOUN
aiti-13951	254	3	operating	operate	VERB
aiti-13951	254	4	characteristic	characteristic	NOUN
aiti-13951	254	5	(	(	PUNCT
aiti-13951	254	6	roc	roc	PROPN
aiti-13951	254	7	)	)	PUNCT
aiti-13951	254	8	curve	curve	NOUN
aiti-13951	254	9	is	be	AUX
aiti-13951	254	10	a	a	DET
aiti-13951	254	11	graphical	graphical	ADJ
aiti-13951	254	12	tool	tool	NOUN
aiti-13951	254	13	used	use	VERB
aiti-13951	254	14	in	in	ADP
aiti-13951	254	15	ml	ml	NOUN
aiti-13951	254	16	to	to	PART
aiti-13951	254	17	evaluate	evaluate	VERB
aiti-13951	254	18	the	the	DET
aiti-13951	254	19	performance	performance	NOUN
aiti-13951	254	20	of	of	ADP
aiti-13951	254	21	binary	binary	ADJ
aiti-13951	254	22	classifiers	classifier	NOUN
aiti-13951	254	23	by	by	ADP
aiti-13951	254	24	plotting	plot	VERB
aiti-13951	254	25	the	the	DET
aiti-13951	254	26	tp	tp	NOUN
aiti-13951	254	27	rate	rate	NOUN
aiti-13951	254	28	against	against	ADP
aiti-13951	254	29	the	the	DET
aiti-13951	254	30	fp	fp	PROPN
aiti-13951	254	31	rate	rate	NOUN
aiti-13951	254	32	at	at	ADP
aiti-13951	254	33	different	different	ADJ
aiti-13951	254	34	thresholds	threshold	NOUN
aiti-13951	254	35	.	.	PUNCT
aiti-13951	255	1	5	5	X
aiti-13951	255	2	.	.	X
aiti-13951	255	3	results	result	VERB
aiti-13951	255	4	the	the	DET
aiti-13951	255	5	t	t	NOUN
aiti-13951	255	6	-	-	PUNCT
aiti-13951	255	7	distributed	distribute	VERB
aiti-13951	255	8	stochastic	stochastic	ADJ
aiti-13951	255	9	neighbor	neighbor	NOUN
aiti-13951	255	10	embedding	embed	VERB
aiti-13951	255	11	(	(	PUNCT
aiti-13951	255	12	t	t	PROPN
aiti-13951	255	13	-	-	PUNCT
aiti-13951	255	14	sne	sne	NOUN
aiti-13951	255	15	)	)	PUNCT
aiti-13951	256	1	[	[	X
aiti-13951	256	2	26	26	NUM
aiti-13951	256	3	]	]	PUNCT
aiti-13951	256	4	figure	figure	NOUN
aiti-13951	256	5	shows	show	VERB
aiti-13951	256	6	the	the	DET
aiti-13951	256	7	visualization	visualization	NOUN
aiti-13951	256	8	of	of	ADP
aiti-13951	256	9	two	two	NUM
aiti-13951	256	10	classes	class	NOUN
aiti-13951	256	11	(	(	PUNCT
aiti-13951	256	12	td	td	NOUN
aiti-13951	256	13	–	–	PUNCT
aiti-13951	256	14	0.0	0.0	NUM
aiti-13951	256	15	,	,	PUNCT
aiti-13951	256	16	asd	asd	NOUN
aiti-13951	256	17	–	–	PUNCT
aiti-13951	256	18	1.0	1.0	NUM
aiti-13951	256	19	)	)	PUNCT
aiti-13951	256	20	in	in	ADP
aiti-13951	256	21	a	a	DET
aiti-13951	256	22	two	two	NUM
aiti-13951	256	23	-	-	PUNCT
aiti-13951	256	24	dimensional	dimensional	ADJ
aiti-13951	256	25	space	space	NOUN
aiti-13951	256	26	(	(	PUNCT
aiti-13951	256	27	fig	fig	NOUN
aiti-13951	256	28	.	.	PUNCT
aiti-13951	257	1	5	5	NUM
aiti-13951	257	2	)	)	PUNCT
aiti-13951	257	3	.	.	PUNCT
aiti-13951	258	1	it	it	PRON
aiti-13951	258	2	demonstrates	demonstrate	VERB
aiti-13951	258	3	a	a	DET
aiti-13951	258	4	partial	partial	ADJ
aiti-13951	258	5	separation	separation	NOUN
aiti-13951	258	6	of	of	ADP
aiti-13951	258	7	data	datum	NOUN
aiti-13951	258	8	points	point	NOUN
aiti-13951	258	9	from	from	ADP
aiti-13951	258	10	both	both	DET
aiti-13951	258	11	classes	class	NOUN
aiti-13951	258	12	,	,	PUNCT
aiti-13951	258	13	indicating	indicate	VERB
aiti-13951	258	14	similarities	similarity	NOUN
aiti-13951	258	15	and	and	CCONJ
aiti-13951	258	16	differences	difference	NOUN
aiti-13951	258	17	between	between	ADP
aiti-13951	258	18	the	the	DET
aiti-13951	258	19	classes	class	NOUN
aiti-13951	258	20	.	.	PUNCT
aiti-13951	259	1	while	while	SCONJ
aiti-13951	259	2	most	most	ADJ
aiti-13951	259	3	points	point	NOUN
aiti-13951	259	4	segregate	segregate	VERB
aiti-13951	259	5	into	into	ADP
aiti-13951	259	6	distinct	distinct	ADJ
aiti-13951	259	7	clusters	cluster	NOUN
aiti-13951	259	8	,	,	PUNCT
aiti-13951	259	9	some	some	DET
aiti-13951	259	10	overlap	overlap	NOUN
aiti-13951	259	11	occurs	occur	VERB
aiti-13951	259	12	,	,	PUNCT
aiti-13951	259	13	suggesting	suggest	VERB
aiti-13951	259	14	shared	share	VERB
aiti-13951	259	15	features	feature	NOUN
aiti-13951	259	16	between	between	ADP
aiti-13951	259	17	individuals	individual	NOUN
aiti-13951	259	18	with	with	ADP
aiti-13951	259	19	asd	asd	NOUN
aiti-13951	259	20	and	and	CCONJ
aiti-13951	259	21	td	td	NOUN
aiti-13951	259	22	individuals	individual	NOUN
aiti-13951	259	23	.	.	PUNCT
aiti-13951	260	1	the	the	DET
aiti-13951	260	2	evaluation	evaluation	NOUN
aiti-13951	260	3	metrics	metric	NOUN
aiti-13951	260	4	for	for	ADP
aiti-13951	260	5	each	each	PRON
aiti-13951	260	6	of	of	ADP
aiti-13951	260	7	the	the	DET
aiti-13951	260	8	employed	employ	VERB
aiti-13951	260	9	nn	nn	PROPN
aiti-13951	260	10	models	model	NOUN
aiti-13951	260	11	are	be	AUX
aiti-13951	260	12	presented	present	VERB
aiti-13951	260	13	in	in	ADP
aiti-13951	260	14	table	table	NOUN
aiti-13951	260	15	2	2	NUM
aiti-13951	260	16	.	.	PUNCT
aiti-13951	260	17	fig	fig	NOUN
aiti-13951	260	18	.	.	PUNCT
aiti-13951	261	1	5	5	NUM
aiti-13951	261	2	visualization	visualization	NOUN
aiti-13951	261	3	of	of	ADP
aiti-13951	261	4	data	datum	NOUN
aiti-13951	261	5	points	point	NOUN
aiti-13951	261	6	table	table	NOUN
aiti-13951	261	7	2	2	NUM
aiti-13951	261	8	evaluation	evaluation	NOUN
aiti-13951	261	9	metrics	metric	NOUN
aiti-13951	261	10	of	of	ADP
aiti-13951	261	11	the	the	DET
aiti-13951	261	12	employed	employ	VERB
aiti-13951	261	13	nn	nn	PROPN
aiti-13951	261	14	models	model	NOUN
aiti-13951	261	15	nn	nn	PROPN
aiti-13951	261	16	model	model	NOUN
aiti-13951	261	17	accuracy	accuracy	NOUN
aiti-13951	261	18	(	(	PUNCT
aiti-13951	261	19	%	%	INTJ
aiti-13951	261	20	)	)	PUNCT
aiti-13951	261	21	precision	precision	NOUN
aiti-13951	261	22	(	(	PUNCT
aiti-13951	261	23	%	%	INTJ
aiti-13951	261	24	)	)	PUNCT
aiti-13951	261	25	recall	recall	NOUN
aiti-13951	261	26	(	(	PUNCT
aiti-13951	261	27	%	%	NOUN
aiti-13951	261	28	)	)	PUNCT
aiti-13951	261	29	specificity	specificity	NOUN
aiti-13951	261	30	(	(	PUNCT
aiti-13951	261	31	%	%	INTJ
aiti-13951	261	32	)	)	PUNCT
aiti-13951	261	33	f1	f1	NOUN
aiti-13951	261	34	-	-	PUNCT
aiti-13951	261	35	score	score	NOUN
aiti-13951	261	36	(	(	PUNCT
aiti-13951	261	37	%	%	INTJ
aiti-13951	261	38	)	)	PUNCT
aiti-13951	261	39	cnn	cnn	PROPN
aiti-13951	261	40	89.02	89.02	NUM
aiti-13951	261	41	91.20	91.20	NUM
aiti-13951	261	42	93.98	93.98	NUM
aiti-13951	261	43	75.68	75.68	NUM
aiti-13951	261	44	92.57	92.57	NUM
aiti-13951	261	45	dnn	dnn	PROPN
aiti-13951	261	46	91.98	91.98	NUM
aiti-13951	261	47	92.75	92.75	NUM
aiti-13951	261	48	96.52	96.52	NUM
aiti-13951	261	49	79.77	79.77	NUM
aiti-13951	261	50	94.60	94.60	NUM
aiti-13951	261	51	lstm	lstm	NOUN
aiti-13951	261	52	93.83	93.83	NUM
aiti-13951	261	53	95.08	95.08	NUM
aiti-13951	261	54	96.52	96.52	NUM
aiti-13951	261	55	86.60	86.60	NUM
aiti-13951	261	56	95.80	95.80	NUM
aiti-13951	261	57	custom	custom	NOUN
aiti-13951	261	58	nn	nn	PROPN
aiti-13951	261	59	94.02	94.02	NUM
aiti-13951	261	60	95.85	95.85	NUM
aiti-13951	261	61	95.94	95.94	NUM
aiti-13951	261	62	88.86	88.86	NUM
aiti-13951	261	63	95.90	95.90	NUM
aiti-13951	261	64	the	the	DET
aiti-13951	261	65	evaluation	evaluation	NOUN
aiti-13951	261	66	of	of	ADP
aiti-13951	261	67	performance	performance	NOUN
aiti-13951	261	68	metrics	metric	NOUN
aiti-13951	261	69	for	for	ADP
aiti-13951	261	70	distinguishing	distinguish	VERB
aiti-13951	261	71	asd	asd	NOUN
aiti-13951	261	72	and	and	CCONJ
aiti-13951	261	73	td	td	NOUN
aiti-13951	261	74	individuals	individual	NOUN
aiti-13951	261	75	using	use	VERB
aiti-13951	261	76	eeg	eeg	PROPN
aiti-13951	261	77	data	datum	NOUN
aiti-13951	261	78	reveals	reveal	VERB
aiti-13951	261	79	significant	significant	ADJ
aiti-13951	261	80	insights	insight	NOUN
aiti-13951	261	81	across	across	ADP
aiti-13951	261	82	various	various	ADJ
aiti-13951	261	83	nn	nn	PROPN
aiti-13951	261	84	models	model	NOUN
aiti-13951	261	85	.	.	PUNCT
aiti-13951	262	1	custom	custom	PROPN
aiti-13951	262	2	nn	nn	PROPN
aiti-13951	262	3	attained	attain	VERB
aiti-13951	262	4	the	the	DET
aiti-13951	262	5	highest	high	ADJ
aiti-13951	262	6	accuracy	accuracy	NOUN
aiti-13951	262	7	at	at	ADP
aiti-13951	262	8	94.02	94.02	NUM
aiti-13951	262	9	%	%	NOUN
aiti-13951	262	10	,	,	PUNCT
aiti-13951	262	11	reflecting	reflect	VERB
aiti-13951	262	12	its	its	PRON
aiti-13951	262	13	superior	superior	ADJ
aiti-13951	262	14	classification	classification	NOUN
aiti-13951	262	15	ability	ability	NOUN
aiti-13951	262	16	due	due	ADP
aiti-13951	262	17	to	to	ADP
aiti-13951	262	18	its	its	PRON
aiti-13951	262	19	tailored	tailor	VERB
aiti-13951	262	20	architecture	architecture	NOUN
aiti-13951	262	21	that	that	PRON
aiti-13951	262	22	effectively	effectively	ADV
aiti-13951	262	23	captures	capture	VERB
aiti-13951	262	24	both	both	CCONJ
aiti-13951	262	25	spatial	spatial	ADJ
aiti-13951	262	26	and	and	CCONJ
aiti-13951	262	27	temporal	temporal	ADJ
aiti-13951	262	28	features	feature	NOUN
aiti-13951	262	29	.	.	PUNCT
aiti-13951	263	1	cnn	cnn	PROPN
aiti-13951	263	2	had	have	VERB
aiti-13951	263	3	the	the	DET
aiti-13951	263	4	lowest	low	ADJ
aiti-13951	263	5	accuracy	accuracy	NOUN
aiti-13951	263	6	at	at	ADP
aiti-13951	263	7	89.02	89.02	NUM
aiti-13951	263	8	%	%	NOUN
aiti-13951	263	9	,	,	PUNCT
aiti-13951	263	10	indicating	indicate	VERB
aiti-13951	263	11	its	its	PRON
aiti-13951	263	12	limitations	limitation	NOUN
aiti-13951	263	13	in	in	ADP
aiti-13951	263	14	handling	handle	VERB
aiti-13951	263	15	the	the	DET
aiti-13951	263	16	temporal	temporal	ADJ
aiti-13951	263	17	dependencies	dependency	NOUN
aiti-13951	263	18	in	in	ADP
aiti-13951	263	19	eeg	eeg	PROPN
aiti-13951	263	20	data	datum	NOUN
aiti-13951	263	21	.	.	PUNCT
aiti-13951	264	1	in	in	ADP
aiti-13951	264	2	terms	term	NOUN
aiti-13951	264	3	of	of	ADP
aiti-13951	264	4	precision	precision	NOUN
aiti-13951	264	5	,	,	PUNCT
aiti-13951	264	6	which	which	PRON
aiti-13951	264	7	measures	measure	VERB
aiti-13951	264	8	the	the	DET
aiti-13951	264	9	reliability	reliability	NOUN
aiti-13951	264	10	of	of	ADP
aiti-13951	264	11	identifying	identify	VERB
aiti-13951	264	12	asd	asd	NOUN
aiti-13951	264	13	cases	case	NOUN
aiti-13951	264	14	among	among	ADP
aiti-13951	264	15	the	the	DET
aiti-13951	264	16	predicted	predict	VERB
aiti-13951	264	17	positives	positive	NOUN
aiti-13951	264	18	,	,	PUNCT
aiti-13951	264	19	custom	custom	NOUN
aiti-13951	264	20	nn	nn	PROPN
aiti-13951	264	21	excelled	excel	VERB
aiti-13951	264	22	at	at	ADP
aiti-13951	264	23	95.85	95.85	NUM
aiti-13951	264	24	%	%	NOUN
aiti-13951	264	25	,	,	PUNCT
aiti-13951	264	26	suggesting	suggest	VERB
aiti-13951	264	27	fewer	few	ADJ
aiti-13951	264	28	fp	fp	NOUN
aiti-13951	264	29	due	due	ADP
aiti-13951	264	30	to	to	ADP
aiti-13951	264	31	its	its	PRON
aiti-13951	264	32	effective	effective	ADJ
aiti-13951	264	33	regularization	regularization	NOUN
aiti-13951	264	34	techniques	technique	NOUN
aiti-13951	264	35	and	and	CCONJ
aiti-13951	264	36	optimized	optimize	VERB
aiti-13951	264	37	feature	feature	NOUN
aiti-13951	264	38	extraction	extraction	NOUN
aiti-13951	264	39	.	.	PUNCT
aiti-13951	265	1	cnn	cnn	PROPN
aiti-13951	265	2	had	have	VERB
aiti-13951	265	3	the	the	DET
aiti-13951	265	4	lowest	low	ADJ
aiti-13951	265	5	precision	precision	NOUN
aiti-13951	265	6	at	at	ADP
aiti-13951	265	7	91.20	91.20	NUM
aiti-13951	265	8	%	%	NOUN
aiti-13951	265	9	,	,	PUNCT
aiti-13951	265	10	indicating	indicate	VERB
aiti-13951	265	11	overfitting	overfitte	VERB
aiti-13951	265	12	to	to	ADP
aiti-13951	265	13	some	some	DET
aiti-13951	265	14	features	feature	NOUN
aiti-13951	265	15	while	while	SCONJ
aiti-13951	265	16	missing	miss	VERB
aiti-13951	265	17	others	other	NOUN
aiti-13951	265	18	.	.	PUNCT
aiti-13951	266	1	the	the	DET
aiti-13951	266	2	recall	recall	NOUN
aiti-13951	266	3	indicates	indicate	VERB
aiti-13951	266	4	the	the	DET
aiti-13951	266	5	ability	ability	NOUN
aiti-13951	266	6	to	to	PART
aiti-13951	266	7	capture	capture	VERB
aiti-13951	266	8	true	true	ADJ
aiti-13951	266	9	asd	asd	NOUN
aiti-13951	266	10	cases	case	NOUN
aiti-13951	266	11	.	.	PUNCT
aiti-13951	267	1	the	the	DET
aiti-13951	267	2	employed	employ	VERB
aiti-13951	267	3	dnn	dnn	PROPN
aiti-13951	267	4	,	,	PUNCT
aiti-13951	267	5	lstm	lstm	ADJ
aiti-13951	267	6	,	,	PUNCT
aiti-13951	267	7	and	and	CCONJ
aiti-13951	267	8	custom	custom	NOUN
aiti-13951	267	9	nn	nn	PROPN
aiti-13951	267	10	models	model	NOUN
aiti-13951	267	11	have	have	AUX
aiti-13951	267	12	achieved	achieve	VERB
aiti-13951	267	13	high	high	ADJ
aiti-13951	267	14	rates	rate	NOUN
aiti-13951	267	15	of	of	ADP
aiti-13951	267	16	96.52	96.52	NUM
aiti-13951	267	17	%	%	NOUN
aiti-13951	267	18	,	,	PUNCT
aiti-13951	267	19	showcasing	showcase	VERB
aiti-13951	267	20	their	their	PRON
aiti-13951	267	21	effectiveness	effectiveness	NOUN
aiti-13951	267	22	in	in	ADP
aiti-13951	267	23	minimizing	minimize	VERB
aiti-13951	267	24	missed	miss	VERB
aiti-13951	267	25	asd	asd	NOUN
aiti-13951	267	26	cases	case	NOUN
aiti-13951	267	27	.	.	PUNCT
aiti-13951	268	1	the	the	DET
aiti-13951	268	2	lstm	lstm	PROPN
aiti-13951	268	3	’s	’s	PART
aiti-13951	268	4	strength	strength	NOUN
aiti-13951	268	5	in	in	ADP
aiti-13951	268	6	handling	handle	VERB
aiti-13951	268	7	sequential	sequential	ADJ
aiti-13951	268	8	data	datum	NOUN
aiti-13951	268	9	contributes	contribute	VERB
aiti-13951	268	10	to	to	ADP
aiti-13951	268	11	its	its	PRON
aiti-13951	268	12	high	high	ADJ
aiti-13951	268	13	recall	recall	NOUN
aiti-13951	268	14	,	,	PUNCT
aiti-13951	268	15	while	while	SCONJ
aiti-13951	268	16	custom	custom	PROPN
aiti-13951	268	17	nn	nn	PROPN
aiti-13951	268	18	’s	’s	PART
aiti-13951	268	19	complex	complex	ADJ
aiti-13951	268	20	architecture	architecture	NOUN
aiti-13951	268	21	enhances	enhance	VERB
aiti-13951	268	22	its	its	PRON
aiti-13951	268	23	sensitivity	sensitivity	NOUN
aiti-13951	268	24	.	.	PUNCT
aiti-13951	269	1	advances	advance	NOUN
aiti-13951	269	2	in	in	ADP
aiti-13951	269	3	technology	technology	NOUN
aiti-13951	269	4	innovation	innovation	NOUN
aiti-13951	269	5	,	,	PUNCT
aiti-13951	269	6	vol	vol	NOUN
aiti-13951	269	7	.	.	PROPN
aiti-13951	270	1	9	9	NUM
aiti-13951	270	2	,	,	PUNCT
aiti-13951	270	3	no	no	INTJ
aiti-13951	270	4	.	.	NOUN
aiti-13951	270	5	4	4	NUM
aiti-13951	270	6	,	,	PUNCT
aiti-13951	270	7	2024	2024	NUM
aiti-13951	270	8	,	,	PUNCT
aiti-13951	270	9	pp	pp	ADJ
aiti-13951	270	10	.	.	PUNCT
aiti-13951	271	1	287	287	NUM
aiti-13951	271	2	-	-	SYM
aiti-13951	271	3	300	300	NUM
aiti-13951	271	4	297	297	NUM
aiti-13951	271	5	the	the	DET
aiti-13951	271	6	cnn	cnn	PROPN
aiti-13951	271	7	lagged	lag	VERB
aiti-13951	271	8	in	in	ADP
aiti-13951	271	9	the	the	DET
aiti-13951	271	10	recall	recall	NOUN
aiti-13951	271	11	at	at	ADP
aiti-13951	271	12	93.98	93.98	NUM
aiti-13951	271	13	%	%	NOUN
aiti-13951	271	14	due	due	ADP
aiti-13951	271	15	to	to	ADP
aiti-13951	271	16	its	its	PRON
aiti-13951	271	17	lower	low	ADJ
aiti-13951	271	18	effectiveness	effectiveness	NOUN
aiti-13951	271	19	in	in	ADP
aiti-13951	271	20	handling	handle	VERB
aiti-13951	271	21	the	the	DET
aiti-13951	271	22	temporal	temporal	ADJ
aiti-13951	271	23	aspects	aspect	NOUN
aiti-13951	271	24	of	of	ADP
aiti-13951	271	25	the	the	DET
aiti-13951	271	26	data	datum	NOUN
aiti-13951	271	27	.	.	PUNCT
aiti-13951	272	1	specificity	specificity	NOUN
aiti-13951	272	2	,	,	PUNCT
aiti-13951	272	3	measuring	measure	VERB
aiti-13951	272	4	the	the	DET
aiti-13951	272	5	capability	capability	NOUN
aiti-13951	272	6	to	to	PART
aiti-13951	272	7	correctly	correctly	ADV
aiti-13951	272	8	classify	classify	VERB
aiti-13951	272	9	td	td	NOUN
aiti-13951	272	10	individuals	individual	NOUN
aiti-13951	272	11	,	,	PUNCT
aiti-13951	272	12	ranged	range	VERB
aiti-13951	272	13	from	from	ADP
aiti-13951	272	14	75.68	75.68	NUM
aiti-13951	272	15	%	%	NOUN
aiti-13951	272	16	for	for	ADP
aiti-13951	272	17	cnn	cnn	PROPN
aiti-13951	272	18	to	to	ADP
aiti-13951	272	19	88.86	88.86	NUM
aiti-13951	272	20	%	%	NOUN
aiti-13951	272	21	for	for	ADP
aiti-13951	272	22	custom	custom	NOUN
aiti-13951	272	23	nn	nn	PROPN
aiti-13951	272	24	.	.	PUNCT
aiti-13951	272	25	the	the	DET
aiti-13951	272	26	high	high	ADJ
aiti-13951	272	27	specificity	specificity	NOUN
aiti-13951	272	28	of	of	ADP
aiti-13951	272	29	custom	custom	NOUN
aiti-13951	272	30	nn	nn	PROPN
aiti-13951	272	31	suggests	suggest	VERB
aiti-13951	272	32	its	its	PRON
aiti-13951	272	33	proficiency	proficiency	NOUN
aiti-13951	272	34	in	in	ADP
aiti-13951	272	35	distinguishing	distinguish	VERB
aiti-13951	272	36	non	non	ADJ
aiti-13951	272	37	-	-	ADJ
aiti-13951	272	38	asd	asd	ADJ
aiti-13951	272	39	cases	case	NOUN
aiti-13951	272	40	,	,	PUNCT
aiti-13951	272	41	likely	likely	ADJ
aiti-13951	272	42	due	due	ADP
aiti-13951	272	43	to	to	ADP
aiti-13951	272	44	its	its	PRON
aiti-13951	272	45	sophisticated	sophisticated	ADJ
aiti-13951	272	46	design	design	NOUN
aiti-13951	272	47	and	and	CCONJ
aiti-13951	272	48	regularization	regularization	NOUN
aiti-13951	272	49	methods	method	NOUN
aiti-13951	272	50	.	.	PUNCT
aiti-13951	273	1	cnn	cnn	PROPN
aiti-13951	273	2	’s	’s	PART
aiti-13951	273	3	lower	low	ADJ
aiti-13951	273	4	specificity	specificity	NOUN
aiti-13951	273	5	indicates	indicate	VERB
aiti-13951	273	6	a	a	DET
aiti-13951	273	7	higher	high	ADJ
aiti-13951	273	8	rate	rate	NOUN
aiti-13951	273	9	of	of	ADP
aiti-13951	273	10	fp	fp	NOUN
aiti-13951	273	11	,	,	PUNCT
aiti-13951	273	12	reflecting	reflect	VERB
aiti-13951	273	13	its	its	PRON
aiti-13951	273	14	challenges	challenge	NOUN
aiti-13951	273	15	in	in	ADP
aiti-13951	273	16	accurately	accurately	ADV
aiti-13951	273	17	identifying	identify	VERB
aiti-13951	273	18	td	td	NOUN
aiti-13951	273	19	cases	case	NOUN
aiti-13951	273	20	.	.	PUNCT
aiti-13951	274	1	the	the	DET
aiti-13951	274	2	f1	f1	NOUN
aiti-13951	274	3	-	-	PUNCT
aiti-13951	274	4	score	score	NOUN
aiti-13951	274	5	,	,	PUNCT
aiti-13951	274	6	which	which	PRON
aiti-13951	274	7	balances	balance	VERB
aiti-13951	274	8	precision	precision	NOUN
aiti-13951	274	9	and	and	CCONJ
aiti-13951	274	10	recall	recall	NOUN
aiti-13951	274	11	,	,	PUNCT
aiti-13951	274	12	was	be	AUX
aiti-13951	274	13	highest	high	ADJ
aiti-13951	274	14	for	for	ADP
aiti-13951	274	15	custom	custom	NOUN
aiti-13951	274	16	nn	nn	PROPN
aiti-13951	274	17	at	at	ADP
aiti-13951	274	18	95.90	95.90	NUM
aiti-13951	274	19	%	%	NOUN
aiti-13951	274	20	,	,	PUNCT
aiti-13951	274	21	signifying	signify	VERB
aiti-13951	274	22	its	its	PRON
aiti-13951	274	23	overall	overall	ADJ
aiti-13951	274	24	effectiveness	effectiveness	NOUN
aiti-13951	274	25	and	and	CCONJ
aiti-13951	274	26	balanced	balanced	ADJ
aiti-13951	274	27	performance	performance	NOUN
aiti-13951	274	28	.	.	PUNCT
aiti-13951	275	1	the	the	DET
aiti-13951	275	2	lstm	lstm	NOUN
aiti-13951	275	3	also	also	ADV
aiti-13951	275	4	performed	perform	VERB
aiti-13951	275	5	well	well	ADV
aiti-13951	275	6	with	with	ADP
aiti-13951	275	7	an	an	DET
aiti-13951	275	8	f1	f1	NOUN
aiti-13951	275	9	-	-	PUNCT
aiti-13951	275	10	score	score	NOUN
aiti-13951	275	11	of	of	ADP
aiti-13951	275	12	95.80	95.80	NUM
aiti-13951	275	13	%	%	NOUN
aiti-13951	275	14	,	,	PUNCT
aiti-13951	275	15	leveraging	leverage	VERB
aiti-13951	275	16	its	its	PRON
aiti-13951	275	17	architecture	architecture	NOUN
aiti-13951	275	18	’s	’s	PART
aiti-13951	275	19	strength	strength	NOUN
aiti-13951	275	20	in	in	ADP
aiti-13951	275	21	handling	handle	VERB
aiti-13951	275	22	temporal	temporal	ADJ
aiti-13951	275	23	data	datum	NOUN
aiti-13951	275	24	.	.	PUNCT
aiti-13951	276	1	the	the	DET
aiti-13951	276	2	cnn	cnn	PROPN
aiti-13951	276	3	shows	show	VERB
aiti-13951	276	4	the	the	DET
aiti-13951	276	5	lowest	low	ADJ
aiti-13951	276	6	f1	f1	NOUN
aiti-13951	276	7	-	-	PUNCT
aiti-13951	276	8	score	score	NOUN
aiti-13951	276	9	at	at	ADP
aiti-13951	276	10	92.57	92.57	NUM
aiti-13951	276	11	%	%	NOUN
aiti-13951	276	12	,	,	PUNCT
aiti-13951	276	13	indicating	indicate	VERB
aiti-13951	276	14	its	its	PRON
aiti-13951	276	15	overall	overall	ADJ
aiti-13951	276	16	lower	low	ADJ
aiti-13951	276	17	performance	performance	NOUN
aiti-13951	276	18	in	in	ADP
aiti-13951	276	19	balancing	balance	VERB
aiti-13951	276	20	precision	precision	NOUN
aiti-13951	276	21	and	and	CCONJ
aiti-13951	276	22	recall	recall	NOUN
aiti-13951	276	23	.	.	PUNCT
aiti-13951	277	1	these	these	DET
aiti-13951	277	2	performance	performance	NOUN
aiti-13951	277	3	differences	difference	NOUN
aiti-13951	277	4	arise	arise	VERB
aiti-13951	277	5	from	from	ADP
aiti-13951	277	6	the	the	DET
aiti-13951	277	7	models	model	NOUN
aiti-13951	277	8	’	'	PUNCT
aiti-13951	277	9	architectural	architectural	ADJ
aiti-13951	277	10	strengths	strength	NOUN
aiti-13951	277	11	,	,	PUNCT
aiti-13951	277	12	data	datum	NOUN
aiti-13951	277	13	handling	handling	NOUN
aiti-13951	277	14	,	,	PUNCT
aiti-13951	277	15	regularization	regularization	NOUN
aiti-13951	277	16	techniques	technique	NOUN
aiti-13951	277	17	,	,	PUNCT
aiti-13951	277	18	and	and	CCONJ
aiti-13951	277	19	feature	feature	NOUN
aiti-13951	277	20	extraction	extraction	NOUN
aiti-13951	277	21	capabilities	capability	NOUN
aiti-13951	277	22	.	.	PUNCT
aiti-13951	278	1	custom	custom	PROPN
aiti-13951	278	2	nn	nn	PROPN
aiti-13951	278	3	and	and	CCONJ
aiti-13951	278	4	lstm	lstm	NOUN
aiti-13951	278	5	demonstrate	demonstrate	VERB
aiti-13951	278	6	superior	superior	ADJ
aiti-13951	278	7	performance	performance	NOUN
aiti-13951	278	8	due	due	ADP
aiti-13951	278	9	to	to	ADP
aiti-13951	278	10	their	their	PRON
aiti-13951	278	11	sophisticated	sophisticated	ADJ
aiti-13951	278	12	designs	design	NOUN
aiti-13951	278	13	tailored	tailor	VERB
aiti-13951	278	14	for	for	ADP
aiti-13951	278	15	eeg	eeg	PROPN
aiti-13951	278	16	data	datum	NOUN
aiti-13951	278	17	analysis	analysis	NOUN
aiti-13951	278	18	,	,	PUNCT
aiti-13951	278	19	capturing	capture	VERB
aiti-13951	278	20	complex	complex	ADJ
aiti-13951	278	21	patterns	pattern	NOUN
aiti-13951	278	22	and	and	CCONJ
aiti-13951	278	23	temporal	temporal	ADJ
aiti-13951	278	24	dependencies	dependency	NOUN
aiti-13951	278	25	effectively	effectively	ADV
aiti-13951	278	26	.	.	PUNCT
aiti-13951	279	1	fig	fig	NOUN
aiti-13951	279	2	.	.	PUNCT
aiti-13951	280	1	6	6	NUM
aiti-13951	280	2	shows	show	VERB
aiti-13951	280	3	the	the	DET
aiti-13951	280	4	confusion	confusion	NOUN
aiti-13951	280	5	matrices	matrix	NOUN
aiti-13951	280	6	for	for	ADP
aiti-13951	280	7	the	the	DET
aiti-13951	280	8	employed	employ	VERB
aiti-13951	280	9	nn	nn	PROPN
aiti-13951	280	10	models	model	NOUN
aiti-13951	280	11	which	which	PRON
aiti-13951	280	12	summarize	summarize	VERB
aiti-13951	280	13	the	the	DET
aiti-13951	280	14	counts	count	NOUN
aiti-13951	280	15	of	of	ADP
aiti-13951	280	16	tp	tp	PROPN
aiti-13951	280	17	,	,	PUNCT
aiti-13951	280	18	tn	tn	PROPN
aiti-13951	280	19	,	,	PUNCT
aiti-13951	280	20	fp	fp	NOUN
aiti-13951	280	21	,	,	PUNCT
aiti-13951	280	22	and	and	CCONJ
aiti-13951	280	23	fn	fn	NOUN
aiti-13951	280	24	predictions	prediction	NOUN
aiti-13951	280	25	.	.	PUNCT
aiti-13951	281	1	fig	fig	NOUN
aiti-13951	281	2	.	.	PUNCT
aiti-13951	282	1	6	6	NUM
aiti-13951	282	2	confusion	confusion	NOUN
aiti-13951	282	3	matrices	matrix	NOUN
aiti-13951	282	4	of	of	ADP
aiti-13951	282	5	the	the	DET
aiti-13951	282	6	employed	employ	VERB
aiti-13951	282	7	nn	nn	NOUN
aiti-13951	282	8	models	model	NOUN
aiti-13951	282	9	(	(	PUNCT
aiti-13951	282	10	a	a	X
aiti-13951	282	11	)	)	PUNCT
aiti-13951	282	12	roc	roc	PROPN
aiti-13951	282	13	curve	curve	NOUN
aiti-13951	282	14	for	for	ADP
aiti-13951	282	15	custom	custom	NOUN
aiti-13951	282	16	nn	nn	PROPN
aiti-13951	282	17	model	model	PROPN
aiti-13951	282	18	fig	fig	PROPN
aiti-13951	282	19	.	.	PUNCT
aiti-13951	283	1	7	7	NUM
aiti-13951	283	2	roc	roc	PROPN
aiti-13951	283	3	curves	curve	NOUN
aiti-13951	283	4	for	for	ADP
aiti-13951	283	5	the	the	DET
aiti-13951	283	6	employed	employ	VERB
aiti-13951	283	7	nn	nn	PROPN
aiti-13951	283	8	models	model	NOUN
aiti-13951	283	9	298	298	NUM
aiti-13951	283	10	advances	advance	NOUN
aiti-13951	283	11	in	in	ADP
aiti-13951	283	12	technology	technology	NOUN
aiti-13951	283	13	innovation	innovation	NOUN
aiti-13951	283	14	,	,	PUNCT
aiti-13951	283	15	vol	vol	NOUN
aiti-13951	283	16	.	.	PROPN
aiti-13951	283	17	9	9	NUM
aiti-13951	283	18	,	,	PUNCT
aiti-13951	283	19	no	no	INTJ
aiti-13951	283	20	.	.	NOUN
aiti-13951	283	21	4	4	NUM
aiti-13951	283	22	,	,	PUNCT
aiti-13951	283	23	2024	2024	NUM
aiti-13951	283	24	,	,	PUNCT
aiti-13951	283	25	pp	pp	ADJ
aiti-13951	283	26	.	.	PUNCT
aiti-13951	284	1	287	287	NUM
aiti-13951	284	2	-	-	SYM
aiti-13951	284	3	300	300	NUM
aiti-13951	284	4	(	(	PUNCT
aiti-13951	284	5	b	b	NOUN
aiti-13951	284	6	)	)	PUNCT
aiti-13951	284	7	roc	roc	PROPN
aiti-13951	284	8	curve	curve	NOUN
aiti-13951	284	9	for	for	ADP
aiti-13951	284	10	cnn	cnn	PROPN
aiti-13951	284	11	,	,	PUNCT
aiti-13951	284	12	dnn	dnn	PROPN
aiti-13951	284	13	,	,	PUNCT
aiti-13951	284	14	lstm	lstm	ADJ
aiti-13951	284	15	fig	fig	NOUN
aiti-13951	284	16	.	.	PUNCT
aiti-13951	285	1	7	7	NUM
aiti-13951	285	2	roc	roc	PROPN
aiti-13951	285	3	curves	curve	NOUN
aiti-13951	285	4	for	for	ADP
aiti-13951	285	5	the	the	DET
aiti-13951	285	6	employed	employ	VERB
aiti-13951	285	7	nn	nn	NOUN
aiti-13951	285	8	models	model	NOUN
aiti-13951	285	9	(	(	PUNCT
aiti-13951	285	10	continued	continue	VERB
aiti-13951	285	11	)	)	PUNCT
aiti-13951	285	12	6	6	NUM
aiti-13951	285	13	.	.	PUNCT
aiti-13951	285	14	discussion	discussion	NOUN
aiti-13951	285	15	and	and	CCONJ
aiti-13951	285	16	conclusion	conclusion	NOUN
aiti-13951	285	17	the	the	DET
aiti-13951	285	18	findings	finding	NOUN
aiti-13951	285	19	of	of	ADP
aiti-13951	285	20	this	this	DET
aiti-13951	285	21	study	study	NOUN
aiti-13951	285	22	underscore	underscore	VERB
aiti-13951	285	23	the	the	DET
aiti-13951	285	24	potential	potential	NOUN
aiti-13951	285	25	of	of	ADP
aiti-13951	285	26	four	four	NUM
aiti-13951	285	27	nn	nn	NOUN
aiti-13951	285	28	models	model	NOUN
aiti-13951	285	29	in	in	ADP
aiti-13951	285	30	the	the	DET
aiti-13951	285	31	accurate	accurate	ADJ
aiti-13951	285	32	classification	classification	NOUN
aiti-13951	285	33	of	of	ADP
aiti-13951	285	34	asd	asd	NOUN
aiti-13951	285	35	using	use	VERB
aiti-13951	285	36	eeg	eeg	PROPN
aiti-13951	285	37	data	datum	NOUN
aiti-13951	285	38	.	.	PUNCT
aiti-13951	286	1	through	through	ADP
aiti-13951	286	2	a	a	DET
aiti-13951	286	3	comprehensive	comprehensive	ADJ
aiti-13951	286	4	evaluation	evaluation	NOUN
aiti-13951	286	5	of	of	ADP
aiti-13951	286	6	various	various	ADJ
aiti-13951	286	7	nn	nn	PROPN
aiti-13951	286	8	models	model	NOUN
aiti-13951	286	9	,	,	PUNCT
aiti-13951	286	10	including	include	VERB
aiti-13951	286	11	the	the	DET
aiti-13951	286	12	standout	standout	NOUN
aiti-13951	286	13	custom	custom	NOUN
aiti-13951	286	14	nn	nn	PROPN
aiti-13951	286	15	,	,	PUNCT
aiti-13951	286	16	the	the	DET
aiti-13951	286	17	study	study	NOUN
aiti-13951	286	18	demonstrates	demonstrate	VERB
aiti-13951	286	19	notable	notable	ADJ
aiti-13951	286	20	advancements	advancement	NOUN
aiti-13951	286	21	in	in	ADP
aiti-13951	286	22	distinguishing	distinguish	VERB
aiti-13951	286	23	asd	asd	NOUN
aiti-13951	286	24	cases	case	NOUN
aiti-13951	286	25	from	from	ADP
aiti-13951	286	26	td	td	NOUN
aiti-13951	286	27	individuals	individual	NOUN
aiti-13951	286	28	.	.	PUNCT
aiti-13951	287	1	the	the	DET
aiti-13951	287	2	analysis	analysis	NOUN
aiti-13951	287	3	of	of	ADP
aiti-13951	287	4	accuracy	accuracy	NOUN
aiti-13951	287	5	,	,	PUNCT
aiti-13951	287	6	precision	precision	NOUN
aiti-13951	287	7	,	,	PUNCT
aiti-13951	287	8	recall	recall	NOUN
aiti-13951	287	9	,	,	PUNCT
aiti-13951	287	10	and	and	CCONJ
aiti-13951	287	11	specificity	specificity	NOUN
aiti-13951	287	12	provides	provide	VERB
aiti-13951	287	13	a	a	DET
aiti-13951	287	14	well	well	ADV
aiti-13951	287	15	-	-	PUNCT
aiti-13951	287	16	rounded	rounded	ADJ
aiti-13951	287	17	understanding	understanding	NOUN
aiti-13951	287	18	of	of	ADP
aiti-13951	287	19	each	each	DET
aiti-13951	287	20	model	model	NOUN
aiti-13951	287	21	’s	’s	PART
aiti-13951	287	22	strengths	strength	NOUN
aiti-13951	287	23	and	and	CCONJ
aiti-13951	287	24	limitations	limitation	NOUN
aiti-13951	287	25	,	,	PUNCT
aiti-13951	287	26	with	with	ADP
aiti-13951	287	27	the	the	DET
aiti-13951	287	28	custom	custom	NOUN
aiti-13951	287	29	nn	nn	NOUN
aiti-13951	287	30	exhibiting	exhibit	VERB
aiti-13951	287	31	particularly	particularly	ADV
aiti-13951	287	32	strong	strong	ADJ
aiti-13951	287	33	performance	performance	NOUN
aiti-13951	287	34	.	.	PUNCT
aiti-13951	288	1	this	this	PRON
aiti-13951	288	2	highlights	highlight	VERB
aiti-13951	288	3	its	its	PRON
aiti-13951	288	4	potential	potential	NOUN
aiti-13951	288	5	for	for	ADP
aiti-13951	288	6	practical	practical	ADJ
aiti-13951	288	7	application	application	NOUN
aiti-13951	288	8	in	in	ADP
aiti-13951	288	9	clinical	clinical	ADJ
aiti-13951	288	10	settings	setting	NOUN
aiti-13951	288	11	,	,	PUNCT
aiti-13951	288	12	where	where	SCONJ
aiti-13951	288	13	early	early	ADJ
aiti-13951	288	14	and	and	CCONJ
aiti-13951	288	15	accurate	accurate	ADJ
aiti-13951	288	16	detection	detection	NOUN
aiti-13951	288	17	of	of	ADP
aiti-13951	288	18	asd	asd	PROPN
aiti-13951	288	19	is	be	AUX
aiti-13951	288	20	crucial	crucial	ADJ
aiti-13951	288	21	for	for	ADP
aiti-13951	288	22	effective	effective	ADJ
aiti-13951	288	23	intervention	intervention	NOUN
aiti-13951	288	24	.	.	PUNCT
aiti-13951	289	1	the	the	DET
aiti-13951	289	2	study	study	NOUN
aiti-13951	289	3	significantly	significantly	ADV
aiti-13951	289	4	contributes	contribute	VERB
aiti-13951	289	5	to	to	ADP
aiti-13951	289	6	autism	autism	NOUN
aiti-13951	289	7	research	research	NOUN
aiti-13951	289	8	by	by	ADP
aiti-13951	289	9	showcasing	showcase	VERB
aiti-13951	289	10	the	the	DET
aiti-13951	289	11	efficacy	efficacy	NOUN
aiti-13951	289	12	of	of	ADP
aiti-13951	289	13	nn	nn	PROPN
aiti-13951	289	14	models	model	NOUN
aiti-13951	289	15	,	,	PUNCT
aiti-13951	289	16	particularly	particularly	ADV
aiti-13951	289	17	in	in	ADP
aiti-13951	289	18	offering	offer	VERB
aiti-13951	289	19	non	non	ADJ
aiti-13951	289	20	-	-	ADJ
aiti-13951	289	21	intrusive	intrusive	ADJ
aiti-13951	289	22	diagnostic	diagnostic	ADJ
aiti-13951	289	23	tools	tool	NOUN
aiti-13951	289	24	.	.	PUNCT
aiti-13951	290	1	the	the	DET
aiti-13951	290	2	high	high	ADJ
aiti-13951	290	3	accuracy	accuracy	NOUN
aiti-13951	290	4	of	of	ADP
aiti-13951	290	5	the	the	DET
aiti-13951	290	6	custom	custom	NOUN
aiti-13951	290	7	nn	nn	PROPN
aiti-13951	290	8	model	model	NOUN
aiti-13951	290	9	emphasizes	emphasize	VERB
aiti-13951	290	10	the	the	DET
aiti-13951	290	11	urgency	urgency	NOUN
aiti-13951	290	12	and	and	CCONJ
aiti-13951	290	13	potential	potential	NOUN
aiti-13951	290	14	of	of	ADP
aiti-13951	290	15	early	early	ADJ
aiti-13951	290	16	detection	detection	NOUN
aiti-13951	290	17	techniques	technique	NOUN
aiti-13951	290	18	in	in	ADP
aiti-13951	290	19	improving	improve	VERB
aiti-13951	290	20	asd	asd	NOUN
aiti-13951	290	21	diagnosis	diagnosis	NOUN
aiti-13951	290	22	and	and	CCONJ
aiti-13951	290	23	intervention	intervention	NOUN
aiti-13951	290	24	strategies	strategy	NOUN
aiti-13951	290	25	.	.	PUNCT
aiti-13951	291	1	the	the	DET
aiti-13951	291	2	varied	varied	ADJ
aiti-13951	291	3	performance	performance	NOUN
aiti-13951	291	4	across	across	ADP
aiti-13951	291	5	nn	nn	PROPN
aiti-13951	291	6	models	model	NOUN
aiti-13951	291	7	reveals	reveal	VERB
aiti-13951	291	8	the	the	DET
aiti-13951	291	9	potential	potential	NOUN
aiti-13951	291	10	for	for	ADP
aiti-13951	291	11	innovation	innovation	NOUN
aiti-13951	291	12	in	in	ADP
aiti-13951	291	13	diagnostic	diagnostic	ADJ
aiti-13951	291	14	tools	tool	NOUN
aiti-13951	291	15	and	and	CCONJ
aiti-13951	291	16	reinforces	reinforce	VERB
aiti-13951	291	17	the	the	DET
aiti-13951	291	18	importance	importance	NOUN
aiti-13951	291	19	of	of	ADP
aiti-13951	291	20	continued	continue	VERB
aiti-13951	291	21	advancement	advancement	NOUN
aiti-13951	291	22	in	in	ADP
aiti-13951	291	23	this	this	DET
aiti-13951	291	24	area	area	NOUN
aiti-13951	291	25	.	.	PUNCT
aiti-13951	292	1	however	however	ADV
aiti-13951	292	2	,	,	PUNCT
aiti-13951	292	3	the	the	DET
aiti-13951	292	4	study	study	NOUN
aiti-13951	292	5	is	be	AUX
aiti-13951	292	6	not	not	PART
aiti-13951	292	7	without	without	ADP
aiti-13951	292	8	its	its	PRON
aiti-13951	292	9	limitations	limitation	NOUN
aiti-13951	292	10	.	.	PUNCT
aiti-13951	293	1	the	the	DET
aiti-13951	293	2	reliance	reliance	NOUN
aiti-13951	293	3	on	on	ADP
aiti-13951	293	4	a	a	DET
aiti-13951	293	5	less	less	ADV
aiti-13951	293	6	diverse	diverse	ADJ
aiti-13951	293	7	and	and	CCONJ
aiti-13951	293	8	relatively	relatively	ADV
aiti-13951	293	9	small	small	ADJ
aiti-13951	293	10	dataset	dataset	NOUN
aiti-13951	293	11	restricts	restrict	VERB
aiti-13951	293	12	the	the	DET
aiti-13951	293	13	generalizability	generalizability	NOUN
aiti-13951	293	14	of	of	ADP
aiti-13951	293	15	the	the	DET
aiti-13951	293	16	findings	finding	NOUN
aiti-13951	293	17	and	and	CCONJ
aiti-13951	293	18	the	the	DET
aiti-13951	293	19	robustness	robustness	NOUN
aiti-13951	293	20	of	of	ADP
aiti-13951	293	21	the	the	DET
aiti-13951	293	22	developed	develop	VERB
aiti-13951	293	23	models	model	NOUN
aiti-13951	293	24	.	.	PUNCT
aiti-13951	294	1	this	this	DET
aiti-13951	294	2	limitation	limitation	NOUN
aiti-13951	294	3	impacts	impact	VERB
aiti-13951	294	4	the	the	DET
aiti-13951	294	5	models	model	NOUN
aiti-13951	294	6	’	'	PUNCT
aiti-13951	294	7	performance	performance	NOUN
aiti-13951	294	8	in	in	ADP
aiti-13951	294	9	real	real	ADJ
aiti-13951	294	10	-	-	PUNCT
aiti-13951	294	11	world	world	NOUN
aiti-13951	294	12	scenarios	scenario	NOUN
aiti-13951	294	13	,	,	PUNCT
aiti-13951	294	14	as	as	SCONJ
aiti-13951	294	15	the	the	DET
aiti-13951	294	16	dataset	dataset	NOUN
aiti-13951	294	17	does	do	AUX
aiti-13951	294	18	not	not	PART
aiti-13951	294	19	fully	fully	ADV
aiti-13951	294	20	represent	represent	VERB
aiti-13951	294	21	the	the	DET
aiti-13951	294	22	variability	variability	NOUN
aiti-13951	294	23	seen	see	VERB
aiti-13951	294	24	in	in	ADP
aiti-13951	294	25	asd	asd	PROPN
aiti-13951	294	26	cases	case	NOUN
aiti-13951	294	27	across	across	ADP
aiti-13951	294	28	different	different	ADJ
aiti-13951	294	29	demographics	demographic	NOUN
aiti-13951	294	30	and	and	CCONJ
aiti-13951	294	31	age	age	NOUN
aiti-13951	294	32	groups	group	NOUN
aiti-13951	294	33	.	.	PUNCT
aiti-13951	295	1	future	future	ADJ
aiti-13951	295	2	research	research	NOUN
aiti-13951	295	3	should	should	AUX
aiti-13951	295	4	address	address	VERB
aiti-13951	295	5	these	these	DET
aiti-13951	295	6	limitations	limitation	NOUN
aiti-13951	295	7	by	by	ADP
aiti-13951	295	8	incorporating	incorporate	VERB
aiti-13951	295	9	larger	large	ADJ
aiti-13951	295	10	and	and	CCONJ
aiti-13951	295	11	more	more	ADV
aiti-13951	295	12	diverse	diverse	ADJ
aiti-13951	295	13	datasets	dataset	NOUN
aiti-13951	295	14	to	to	PART
aiti-13951	295	15	enhance	enhance	VERB
aiti-13951	295	16	the	the	DET
aiti-13951	295	17	generalizability	generalizability	NOUN
aiti-13951	295	18	and	and	CCONJ
aiti-13951	295	19	robustness	robustness	NOUN
aiti-13951	295	20	of	of	ADP
aiti-13951	295	21	nn	nn	NOUN
aiti-13951	295	22	models	model	NOUN
aiti-13951	295	23	.	.	PUNCT
aiti-13951	296	1	additionally	additionally	ADV
aiti-13951	296	2	,	,	PUNCT
aiti-13951	296	3	exploring	explore	VERB
aiti-13951	296	4	hybrid	hybrid	ADJ
aiti-13951	296	5	model	model	NOUN
aiti-13951	296	6	frameworks	framework	NOUN
aiti-13951	296	7	that	that	PRON
aiti-13951	296	8	integrate	integrate	VERB
aiti-13951	296	9	various	various	ADJ
aiti-13951	296	10	nn	nn	PROPN
aiti-13951	296	11	architectures	architecture	NOUN
aiti-13951	296	12	could	could	AUX
aiti-13951	296	13	further	far	ADV
aiti-13951	296	14	improve	improve	VERB
aiti-13951	296	15	diagnostic	diagnostic	ADJ
aiti-13951	296	16	precision	precision	NOUN
aiti-13951	296	17	and	and	CCONJ
aiti-13951	296	18	clinical	clinical	ADJ
aiti-13951	296	19	utility	utility	NOUN
aiti-13951	296	20	.	.	PUNCT
aiti-13951	297	1	expanding	expand	VERB
aiti-13951	297	2	the	the	DET
aiti-13951	297	3	dataset	dataset	NOUN
aiti-13951	297	4	and	and	CCONJ
aiti-13951	297	5	refining	refining	NOUN
aiti-13951	297	6	model	model	NOUN
aiti-13951	297	7	frameworks	framework	NOUN
aiti-13951	297	8	will	will	AUX
aiti-13951	297	9	be	be	AUX
aiti-13951	297	10	crucial	crucial	ADJ
aiti-13951	297	11	for	for	ADP
aiti-13951	297	12	advancing	advance	VERB
aiti-13951	297	13	early	early	ADJ
aiti-13951	297	14	asd	asd	NOUN
aiti-13951	297	15	detection	detection	NOUN
aiti-13951	297	16	and	and	CCONJ
aiti-13951	297	17	developing	develop	VERB
aiti-13951	297	18	more	more	ADV
aiti-13951	297	19	effective	effective	ADJ
aiti-13951	297	20	diagnostic	diagnostic	ADJ
aiti-13951	297	21	tools	tool	NOUN
aiti-13951	297	22	,	,	PUNCT
aiti-13951	297	23	ultimately	ultimately	ADV
aiti-13951	297	24	contributing	contribute	VERB
aiti-13951	297	25	to	to	PART
aiti-13951	297	26	progress	progress	VERB
aiti-13951	297	27	in	in	ADP
aiti-13951	297	28	autism	autism	NOUN
aiti-13951	297	29	research	research	NOUN
aiti-13951	297	30	and	and	CCONJ
aiti-13951	297	31	clinical	clinical	ADJ
aiti-13951	297	32	practice	practice	NOUN
aiti-13951	297	33	.	.	PUNCT
aiti-13951	298	1	acknowledgment	acknowledgment	NOUN
aiti-13951	298	2	the	the	DET
aiti-13951	298	3	dataset	dataset	NOUN
aiti-13951	298	4	(	(	PUNCT
aiti-13951	298	5	global	global	ADJ
aiti-13951	298	6	datasets	dataset	NOUN
aiti-13951	298	7	for	for	ADP
aiti-13951	298	8	autism	autism	NOUN
aiti-13951	298	9	disorder	disorder	NOUN
aiti-13951	298	10	)	)	PUNCT
aiti-13951	298	11	used	use	VERB
aiti-13951	298	12	in	in	ADP
aiti-13951	298	13	this	this	DET
aiti-13951	298	14	study	study	NOUN
aiti-13951	298	15	is	be	AUX
aiti-13951	298	16	received	receive	VERB
aiti-13951	298	17	from	from	ADP
aiti-13951	298	18	the	the	DET
aiti-13951	298	19	brain	brain	NOUN
aiti-13951	298	20	-	-	PUNCT
aiti-13951	298	21	computer	computer	NOUN
aiti-13951	298	22	interface	interface	NOUN
aiti-13951	298	23	(	(	PUNCT
aiti-13951	298	24	bci	bci	NOUN
aiti-13951	298	25	)	)	PUNCT
aiti-13951	298	26	group	group	NOUN
aiti-13951	298	27	of	of	ADP
aiti-13951	298	28	king	king	PROPN
aiti-13951	298	29	abdulaziz	abdulaziz	PROPN
aiti-13951	298	30	university	university	PROPN
aiti-13951	298	31	(	(	PUNCT
aiti-13951	298	32	kau	kau	PROPN
aiti-13951	298	33	)	)	PUNCT
aiti-13951	298	34	.	.	PUNCT
aiti-13951	299	1	permission	permission	NOUN
aiti-13951	299	2	to	to	PART
aiti-13951	299	3	use	use	VERB
aiti-13951	299	4	the	the	DET
aiti-13951	299	5	dataset	dataset	NOUN
aiti-13951	299	6	has	have	AUX
aiti-13951	299	7	been	be	AUX
aiti-13951	299	8	obtained	obtain	VERB
aiti-13951	299	9	for	for	ADP
aiti-13951	299	10	this	this	DET
aiti-13951	299	11	study	study	NOUN
aiti-13951	299	12	(	(	PUNCT
aiti-13951	299	13	https://malhaddad.kau.edu.sa/pages-bci-datasets.aspx	https://malhaddad.kau.edu.sa/pages-bci-datasets.aspx	PROPN
aiti-13951	299	14	)	)	PUNCT
aiti-13951	299	15	.	.	PUNCT
aiti-13951	300	1	the	the	DET
aiti-13951	300	2	authors	author	NOUN
aiti-13951	300	3	express	express	VERB
aiti-13951	300	4	their	their	PRON
aiti-13951	300	5	heartfelt	heartfelt	ADJ
aiti-13951	300	6	thanks	thank	NOUN
aiti-13951	300	7	and	and	CCONJ
aiti-13951	300	8	gratitude	gratitude	NOUN
aiti-13951	300	9	to	to	ADP
aiti-13951	300	10	dr	dr	PROPN
aiti-13951	300	11	.	.	PROPN
aiti-13951	300	12	mohammed	mohammed	PROPN
aiti-13951	300	13	j.	j.	PROPN
aiti-13951	300	14	alhaddad	alhaddad	PROPN
aiti-13951	300	15	from	from	ADP
aiti-13951	300	16	brain	brain	NOUN
aiti-13951	300	17	-	-	PUNCT
aiti-13951	300	18	computer	computer	NOUN
aiti-13951	300	19	interface	interface	NOUN
aiti-13951	300	20	(	(	PUNCT
aiti-13951	300	21	bci	bci	NOUN
aiti-13951	300	22	)	)	PUNCT
aiti-13951	300	23	group	group	NOUN
aiti-13951	300	24	of	of	ADP
aiti-13951	300	25	king	king	PROPN
aiti-13951	300	26	abdulaziz	abdulaziz	PROPN
aiti-13951	300	27	university	university	PROPN
aiti-13951	300	28	(	(	PUNCT
aiti-13951	300	29	kau	kau	PROPN
aiti-13951	300	30	)	)	PUNCT
aiti-13951	300	31	for	for	ADP
aiti-13951	300	32	providing	provide	VERB
aiti-13951	300	33	and	and	CCONJ
aiti-13951	300	34	allowing	allow	VERB
aiti-13951	300	35	the	the	DET
aiti-13951	300	36	usage	usage	NOUN
aiti-13951	300	37	of	of	ADP
aiti-13951	300	38	the	the	DET
aiti-13951	300	39	dataset	dataset	NOUN
aiti-13951	300	40	.	.	PUNCT
aiti-13951	301	1	advances	advance	NOUN
aiti-13951	301	2	in	in	ADP
aiti-13951	301	3	technology	technology	NOUN
aiti-13951	301	4	innovation	innovation	NOUN
aiti-13951	301	5	,	,	PUNCT
aiti-13951	301	6	vol	vol	NOUN
aiti-13951	301	7	.	.	PROPN
aiti-13951	302	1	9	9	NUM
aiti-13951	302	2	,	,	PUNCT
aiti-13951	302	3	no	no	INTJ
aiti-13951	302	4	.	.	NOUN
aiti-13951	302	5	4	4	NUM
aiti-13951	302	6	,	,	PUNCT
aiti-13951	302	7	2024	2024	NUM
aiti-13951	302	8	,	,	PUNCT
aiti-13951	302	9	pp	pp	ADJ
aiti-13951	302	10	.	.	PUNCT
aiti-13951	303	1	287	287	NUM
aiti-13951	303	2	-	-	SYM
aiti-13951	303	3	300	300	NUM
aiti-13951	303	4	299	299	NUM
aiti-13951	303	5	conflicts	conflict	NOUN
aiti-13951	303	6	of	of	ADP
aiti-13951	303	7	interest	interest	NOUN
aiti-13951	303	8	the	the	DET
aiti-13951	303	9	authors	author	NOUN
aiti-13951	303	10	declare	declare	VERB
aiti-13951	303	11	no	no	DET
aiti-13951	303	12	conflict	conflict	NOUN
aiti-13951	303	13	of	of	ADP
aiti-13951	303	14	interest	interest	NOUN
aiti-13951	303	15	.	.	PUNCT
aiti-13951	304	1	statement	statement	NOUN
aiti-13951	304	2	of	of	ADP
aiti-13951	304	3	ethical	ethical	ADJ
aiti-13951	304	4	approval	approval	NOUN
aiti-13951	304	5	for	for	ADP
aiti-13951	304	6	this	this	DET
aiti-13951	304	7	type	type	NOUN
aiti-13951	304	8	of	of	ADP
aiti-13951	304	9	study	study	NOUN
aiti-13951	304	10	,	,	PUNCT
aiti-13951	304	11	statement	statement	NOUN
aiti-13951	304	12	of	of	ADP
aiti-13951	304	13	human	human	ADJ
aiti-13951	304	14	rights	right	NOUN
aiti-13951	304	15	is	be	AUX
aiti-13951	304	16	not	not	PART
aiti-13951	304	17	required	require	VERB
aiti-13951	304	18	.	.	PUNCT
aiti-13951	305	1	statement	statement	NOUN
aiti-13951	305	2	of	of	ADP
aiti-13951	305	3	informed	informed	ADJ
aiti-13951	305	4	consent	consent	NOUN
aiti-13951	305	5	for	for	ADP
aiti-13951	305	6	this	this	DET
aiti-13951	305	7	type	type	NOUN
aiti-13951	305	8	of	of	ADP
aiti-13951	305	9	study	study	NOUN
aiti-13951	305	10	,	,	PUNCT
aiti-13951	305	11	informed	inform	VERB
aiti-13951	305	12	consent	consent	NOUN
aiti-13951	305	13	is	be	AUX
aiti-13951	305	14	not	not	PART
aiti-13951	305	15	required	require	VERB
aiti-13951	305	16	.	.	PUNCT
aiti-13951	306	1	references	reference	NOUN
aiti-13951	306	2	[	[	X
aiti-13951	306	3	1	1	NUM
aiti-13951	306	4	]	]	X
aiti-13951	306	5	n.	n.	PROPN
aiti-13951	306	6	hasan	hasan	PROPN
aiti-13951	306	7	and	and	CCONJ
aiti-13951	306	8	m.	m.	PROPN
aiti-13951	306	9	j.	j.	PROPN
aiti-13951	306	10	nene	nene	PROPN
aiti-13951	306	11	,	,	PUNCT
aiti-13951	306	12	“	"	PUNCT
aiti-13951	306	13	determinants	determinant	NOUN
aiti-13951	306	14	of	of	ADP
aiti-13951	306	15	technological	technological	ADJ
aiti-13951	306	16	interventions	intervention	NOUN
aiti-13951	306	17	for	for	ADP
aiti-13951	306	18	children	child	NOUN
aiti-13951	306	19	with	with	ADP
aiti-13951	306	20	autism	autism	NOUN
aiti-13951	306	21	a	a	DET
aiti-13951	306	22	systematic	systematic	ADJ
aiti-13951	306	23	review	review	NOUN
aiti-13951	306	24	,	,	PUNCT
aiti-13951	306	25	”	"	PUNCT
aiti-13951	306	26	journal	journal	NOUN
aiti-13951	306	27	of	of	ADP
aiti-13951	306	28	educational	educational	ADJ
aiti-13951	306	29	computing	computing	NOUN
aiti-13951	306	30	research	research	NOUN
aiti-13951	306	31	,	,	PUNCT
aiti-13951	306	32	vol	vol	NOUN
aiti-13951	306	33	.	.	PROPN
aiti-13951	306	34	62	62	NUM
aiti-13951	306	35	,	,	PUNCT
aiti-13951	306	36	no	no	INTJ
aiti-13951	306	37	.	.	NOUN
aiti-13951	306	38	1	1	NUM
aiti-13951	306	39	,	,	PUNCT
aiti-13951	306	40	pp	pp	ADJ
aiti-13951	306	41	.	.	PUNCT
aiti-13951	307	1	250	250	NUM
aiti-13951	307	2	-	-	SYM
aiti-13951	307	3	289	289	NUM
aiti-13951	307	4	,	,	PUNCT
aiti-13951	307	5	march	march	PROPN
aiti-13951	307	6	2024	2024	NUM
aiti-13951	307	7	.	.	PUNCT
aiti-13951	308	1	[	[	X
aiti-13951	308	2	2	2	NUM
aiti-13951	308	3	]	]	X
aiti-13951	308	4	n.	n.	PROPN
aiti-13951	308	5	hasan	hasan	PROPN
aiti-13951	308	6	,	,	PUNCT
aiti-13951	308	7	m.	m.	PROPN
aiti-13951	308	8	n.	n.	PROPN
aiti-13951	308	9	islam	islam	PROPN
aiti-13951	308	10	,	,	PUNCT
aiti-13951	308	11	and	and	CCONJ
aiti-13951	308	12	n.	n.	PROPN
aiti-13951	308	13	choudhury	choudhury	PROPN
aiti-13951	308	14	,	,	PUNCT
aiti-13951	308	15	“	"	PUNCT
aiti-13951	308	16	evaluation	evaluation	NOUN
aiti-13951	308	17	of	of	ADP
aiti-13951	308	18	an	an	DET
aiti-13951	308	19	interactive	interactive	ADJ
aiti-13951	308	20	computer	computer	NOUN
aiti-13951	308	21	-	-	PUNCT
aiti-13951	308	22	enabled	enable	VERB
aiti-13951	308	23	tabletop	tabletop	NOUN
aiti-13951	308	24	learning	learning	NOUN
aiti-13951	308	25	tool	tool	NOUN
aiti-13951	308	26	for	for	ADP
aiti-13951	308	27	children	child	NOUN
aiti-13951	308	28	with	with	ADP
aiti-13951	308	29	special	special	ADJ
aiti-13951	308	30	needs	need	NOUN
aiti-13951	308	31	,	,	PUNCT
aiti-13951	308	32	”	"	PUNCT
aiti-13951	308	33	journal	journal	NOUN
aiti-13951	308	34	of	of	ADP
aiti-13951	308	35	educational	educational	ADJ
aiti-13951	308	36	computing	computing	NOUN
aiti-13951	308	37	research	research	NOUN
aiti-13951	308	38	,	,	PUNCT
aiti-13951	308	39	vol	vol	NOUN
aiti-13951	308	40	.	.	PROPN
aiti-13951	308	41	60	60	NUM
aiti-13951	308	42	,	,	PUNCT
aiti-13951	308	43	no	no	INTJ
aiti-13951	308	44	.	.	NOUN
aiti-13951	308	45	8	8	NUM
aiti-13951	308	46	,	,	PUNCT
aiti-13951	308	47	pp	pp	ADJ
aiti-13951	308	48	.	.	PUNCT
aiti-13951	309	1	2105	2105	NUM
aiti-13951	309	2	-	-	SYM
aiti-13951	309	3	2137	2137	NUM
aiti-13951	309	4	,	,	PUNCT
aiti-13951	309	5	january	january	PROPN
aiti-13951	309	6	2023	2023	NUM
aiti-13951	309	7	.	.	PUNCT
aiti-13951	310	1	[	[	X
aiti-13951	310	2	3	3	X
aiti-13951	310	3	]	]	X
aiti-13951	310	4	n.	n.	PROPN
aiti-13951	310	5	hasan	hasan	PROPN
aiti-13951	310	6	and	and	CCONJ
aiti-13951	310	7	m.	m.	PROPN
aiti-13951	310	8	j.	j.	PROPN
aiti-13951	310	9	nene	nene	PROPN
aiti-13951	310	10	,	,	PUNCT
aiti-13951	310	11	“	"	PUNCT
aiti-13951	310	12	lefa	lefa	NOUN
aiti-13951	310	13	:	:	PUNCT
aiti-13951	310	14	framework	framework	NOUN
aiti-13951	310	15	to	to	PART
aiti-13951	310	16	develop	develop	VERB
aiti-13951	310	17	learnability	learnability	NOUN
aiti-13951	310	18	of	of	ADP
aiti-13951	310	19	children	child	NOUN
aiti-13951	310	20	with	with	ADP
aiti-13951	310	21	autism	autism	NOUN
aiti-13951	310	22	,	,	PUNCT
aiti-13951	310	23	”	"	PUNCT
aiti-13951	310	24	international	international	ADJ
aiti-13951	310	25	conference	conference	NOUN
aiti-13951	310	26	on	on	ADP
aiti-13951	310	27	disruptive	disruptive	ADJ
aiti-13951	310	28	technologies	technology	NOUN
aiti-13951	310	29	for	for	ADP
aiti-13951	310	30	multi	multi	ADJ
aiti-13951	310	31	-	-	ADJ
aiti-13951	310	32	disciplinary	disciplinary	ADJ
aiti-13951	310	33	research	research	NOUN
aiti-13951	310	34	and	and	CCONJ
aiti-13951	310	35	applications	application	NOUN
aiti-13951	310	36	(	(	PUNCT
aiti-13951	310	37	centcon	centcon	NOUN
aiti-13951	310	38	)	)	PUNCT
aiti-13951	310	39	,	,	PUNCT
aiti-13951	310	40	pp	pp	PROPN
aiti-13951	310	41	.	.	PUNCT
aiti-13951	311	1	15	15	NUM
aiti-13951	311	2	-	-	SYM
aiti-13951	311	3	20	20	NUM
aiti-13951	311	4	,	,	PUNCT
aiti-13951	311	5	december	december	PROPN
aiti-13951	311	6	2022	2022	NUM
aiti-13951	311	7	.	.	PUNCT
aiti-13951	312	1	[	[	X
aiti-13951	312	2	4	4	X
aiti-13951	312	3	]	]	X
aiti-13951	312	4	n.	n.	PROPN
aiti-13951	312	5	hasan	hasan	PROPN
aiti-13951	312	6	and	and	CCONJ
aiti-13951	312	7	m.	m.	PROPN
aiti-13951	312	8	j.	j.	PROPN
aiti-13951	312	9	nene	nene	PROPN
aiti-13951	312	10	,	,	PUNCT
aiti-13951	312	11	“	"	PUNCT
aiti-13951	312	12	mape	mape	NOUN
aiti-13951	312	13	:	:	PUNCT
aiti-13951	312	14	an	an	DET
aiti-13951	312	15	interactive	interactive	ADJ
aiti-13951	312	16	learning	learning	NOUN
aiti-13951	312	17	model	model	NOUN
aiti-13951	312	18	for	for	ADP
aiti-13951	312	19	the	the	DET
aiti-13951	312	20	children	child	NOUN
aiti-13951	312	21	with	with	ADP
aiti-13951	312	22	asd	asd	NOUN
aiti-13951	312	23	,	,	PUNCT
aiti-13951	312	24	”	"	PUNCT
aiti-13951	312	25	proceedings	proceeding	NOUN
aiti-13951	312	26	of	of	ADP
aiti-13951	312	27	international	international	ADJ
aiti-13951	312	28	conference	conference	NOUN
aiti-13951	312	29	on	on	ADP
aiti-13951	312	30	communication	communication	NOUN
aiti-13951	312	31	and	and	CCONJ
aiti-13951	312	32	computational	computational	ADJ
aiti-13951	312	33	technologies	technology	NOUN
aiti-13951	312	34	,	,	PUNCT
aiti-13951	312	35	pp	pp	ADJ
aiti-13951	312	36	.	.	PUNCT
aiti-13951	312	37	355	355	NUM
aiti-13951	312	38	-	-	SYM
aiti-13951	312	39	367	367	NUM
aiti-13951	312	40	,	,	PUNCT
aiti-13951	312	41	february	february	NOUN
aiti-13951	312	42	2022	2022	NUM
aiti-13951	312	43	.	.	PUNCT
aiti-13951	313	1	[	[	X
aiti-13951	313	2	5	5	NUM
aiti-13951	313	3	]	]	X
aiti-13951	313	4	n.	n.	PROPN
aiti-13951	313	5	hasan	hasan	PROPN
aiti-13951	313	6	and	and	CCONJ
aiti-13951	313	7	m.	m.	PROPN
aiti-13951	313	8	j.	j.	PROPN
aiti-13951	313	9	nene	nene	PROPN
aiti-13951	313	10	,	,	PUNCT
aiti-13951	313	11	“	"	PUNCT
aiti-13951	313	12	ict	ict	PROPN
aiti-13951	313	13	based	base	VERB
aiti-13951	313	14	learning	learn	VERB
aiti-13951	313	15	solutions	solution	NOUN
aiti-13951	313	16	for	for	ADP
aiti-13951	313	17	children	child	NOUN
aiti-13951	313	18	with	with	ADP
aiti-13951	313	19	asd	asd	NOUN
aiti-13951	313	20	:	:	PUNCT
aiti-13951	313	21	a	a	DET
aiti-13951	313	22	requirement	requirement	NOUN
aiti-13951	313	23	engineering	engineering	NOUN
aiti-13951	313	24	study	study	NOUN
aiti-13951	313	25	,	,	PUNCT
aiti-13951	313	26	”	"	PUNCT
aiti-13951	313	27	international	international	ADJ
aiti-13951	313	28	journal	journal	NOUN
aiti-13951	313	29	of	of	ADP
aiti-13951	313	30	special	special	ADJ
aiti-13951	313	31	education	education	NOUN
aiti-13951	313	32	,	,	PUNCT
aiti-13951	313	33	vol	vol	NOUN
aiti-13951	313	34	.	.	PROPN
aiti-13951	314	1	37	37	NUM
aiti-13951	314	2	,	,	PUNCT
aiti-13951	314	3	no	no	INTJ
aiti-13951	314	4	.	.	NOUN
aiti-13951	314	5	1	1	NUM
aiti-13951	314	6	,	,	PUNCT
aiti-13951	314	7	pp	pp	ADJ
aiti-13951	314	8	.	.	PUNCT
aiti-13951	315	1	112	112	NUM
aiti-13951	315	2	-	-	SYM
aiti-13951	315	3	126	126	NUM
aiti-13951	315	4	,	,	PUNCT
aiti-13951	315	5	2022	2022	NUM
aiti-13951	315	6	.	.	PUNCT
aiti-13951	316	1	[	[	X
aiti-13951	316	2	6	6	NUM
aiti-13951	316	3	]	]	X
aiti-13951	316	4	n.	n.	PROPN
aiti-13951	316	5	hasan	hasan	PROPN
aiti-13951	316	6	and	and	CCONJ
aiti-13951	316	7	m.	m.	PROPN
aiti-13951	316	8	j.	j.	PROPN
aiti-13951	316	9	nene	nene	PROPN
aiti-13951	316	10	,	,	PUNCT
aiti-13951	316	11	“	"	PUNCT
aiti-13951	316	12	an	an	DET
aiti-13951	316	13	agent	agent	NOUN
aiti-13951	316	14	-	-	PUNCT
aiti-13951	316	15	based	base	VERB
aiti-13951	316	16	basic	basic	ADJ
aiti-13951	316	17	educational	educational	ADJ
aiti-13951	316	18	model	model	NOUN
aiti-13951	316	19	for	for	ADP
aiti-13951	316	20	the	the	DET
aiti-13951	316	21	children	child	NOUN
aiti-13951	316	22	with	with	ADP
aiti-13951	316	23	asd	asd	NOUN
aiti-13951	316	24	using	use	VERB
aiti-13951	316	25	persuasive	persuasive	ADJ
aiti-13951	316	26	technology	technology	NOUN
aiti-13951	316	27	,	,	PUNCT
aiti-13951	316	28	”	"	PUNCT
aiti-13951	316	29	international	international	ADJ
aiti-13951	316	30	conference	conference	NOUN
aiti-13951	316	31	for	for	ADP
aiti-13951	316	32	advancement	advancement	NOUN
aiti-13951	316	33	in	in	ADP
aiti-13951	316	34	technology	technology	NOUN
aiti-13951	316	35	(	(	PUNCT
aiti-13951	316	36	iconat	iconat	NOUN
aiti-13951	316	37	)	)	PUNCT
aiti-13951	316	38	,	,	PUNCT
aiti-13951	316	39	pp	pp	PROPN
aiti-13951	316	40	.	.	PUNCT
aiti-13951	317	1	1	1	NUM
aiti-13951	317	2	-	-	SYM
aiti-13951	317	3	6	6	NUM
aiti-13951	317	4	,	,	PUNCT
aiti-13951	317	5	january	january	PROPN
aiti-13951	317	6	2022	2022	NUM
aiti-13951	317	7	.	.	PUNCT
aiti-13951	318	1	[	[	X
aiti-13951	318	2	7	7	X
aiti-13951	318	3	]	]	X
aiti-13951	318	4	n.	n.	PROPN
aiti-13951	318	5	hasan	hasan	PROPN
aiti-13951	318	6	and	and	CCONJ
aiti-13951	318	7	m.	m.	PROPN
aiti-13951	318	8	n.	n.	PROPN
aiti-13951	318	9	islam	islam	PROPN
aiti-13951	318	10	,	,	PUNCT
aiti-13951	318	11	“	"	PUNCT
aiti-13951	318	12	exploring	explore	VERB
aiti-13951	318	13	the	the	DET
aiti-13951	318	14	design	design	NOUN
aiti-13951	318	15	considerations	consideration	NOUN
aiti-13951	318	16	for	for	ADP
aiti-13951	318	17	developing	develop	VERB
aiti-13951	318	18	an	an	DET
aiti-13951	318	19	interactive	interactive	ADJ
aiti-13951	318	20	tabletop	tabletop	NOUN
aiti-13951	318	21	learning	learning	NOUN
aiti-13951	318	22	tool	tool	NOUN
aiti-13951	318	23	for	for	ADP
aiti-13951	318	24	children	child	NOUN
aiti-13951	318	25	with	with	ADP
aiti-13951	318	26	autism	autism	NOUN
aiti-13951	318	27	spectrum	spectrum	NOUN
aiti-13951	318	28	disorder	disorder	NOUN
aiti-13951	318	29	,	,	PUNCT
aiti-13951	318	30	”	"	PUNCT
aiti-13951	318	31	proceeding	proceeding	NOUN
aiti-13951	318	32	of	of	ADP
aiti-13951	318	33	the	the	DET
aiti-13951	318	34	international	international	ADJ
aiti-13951	318	35	conference	conference	NOUN
aiti-13951	318	36	on	on	ADP
aiti-13951	318	37	computer	computer	NOUN
aiti-13951	318	38	networks	network	NOUN
aiti-13951	318	39	,	,	PUNCT
aiti-13951	318	40	big	big	ADJ
aiti-13951	318	41	data	datum	NOUN
aiti-13951	318	42	and	and	CCONJ
aiti-13951	318	43	iot	iot	NOUN
aiti-13951	318	44	(	(	PUNCT
aiti-13951	318	45	iccbi	iccbi	NOUN
aiti-13951	318	46	2019	2019	NUM
aiti-13951	318	47	)	)	PUNCT
aiti-13951	318	48	,	,	PUNCT
aiti-13951	318	49	pp	pp	PROPN
aiti-13951	318	50	.	.	PUNCT
aiti-13951	319	1	834	834	NUM
aiti-13951	319	2	-	-	SYM
aiti-13951	319	3	844	844	NUM
aiti-13951	319	4	,	,	PUNCT
aiti-13951	319	5	december	december	PROPN
aiti-13951	319	6	2019	2019	NUM
aiti-13951	319	7	.	.	PUNCT
aiti-13951	320	1	[	[	X
aiti-13951	320	2	8	8	NUM
aiti-13951	320	3	]	]	PUNCT
aiti-13951	320	4	a.	a.	NOUN
aiti-13951	320	5	m.	m.	NOUN
aiti-13951	320	6	gonçalves	gonçalves	PROPN
aiti-13951	320	7	and	and	CCONJ
aiti-13951	320	8	p.	p.	PROPN
aiti-13951	320	9	monteiro	monteiro	PROPN
aiti-13951	320	10	,	,	PUNCT
aiti-13951	320	11	“	"	PUNCT
aiti-13951	320	12	autism	autism	NOUN
aiti-13951	320	13	spectrum	spectrum	NOUN
aiti-13951	320	14	disorder	disorder	NOUN
aiti-13951	320	15	and	and	CCONJ
aiti-13951	320	16	auditory	auditory	ADJ
aiti-13951	320	17	sensory	sensory	ADJ
aiti-13951	320	18	alterations	alteration	NOUN
aiti-13951	320	19	:	:	PUNCT
aiti-13951	320	20	a	a	DET
aiti-13951	320	21	systematic	systematic	ADJ
aiti-13951	320	22	review	review	NOUN
aiti-13951	320	23	on	on	ADP
aiti-13951	320	24	the	the	DET
aiti-13951	320	25	integrity	integrity	NOUN
aiti-13951	320	26	of	of	ADP
aiti-13951	320	27	cognitive	cognitive	ADJ
aiti-13951	320	28	and	and	CCONJ
aiti-13951	320	29	neuronal	neuronal	ADJ
aiti-13951	320	30	functions	function	NOUN
aiti-13951	320	31	related	relate	VERB
aiti-13951	320	32	to	to	ADP
aiti-13951	320	33	auditory	auditory	ADJ
aiti-13951	320	34	processing	processing	NOUN
aiti-13951	320	35	,	,	PUNCT
aiti-13951	320	36	”	"	PUNCT
aiti-13951	320	37	journal	journal	NOUN
aiti-13951	320	38	of	of	ADP
aiti-13951	320	39	neural	neural	ADJ
aiti-13951	320	40	transmission	transmission	NOUN
aiti-13951	320	41	,	,	PUNCT
aiti-13951	320	42	vol	vol	NOUN
aiti-13951	320	43	.	.	PROPN
aiti-13951	320	44	130	130	NUM
aiti-13951	320	45	,	,	PUNCT
aiti-13951	320	46	no	no	INTJ
aiti-13951	320	47	.	.	NOUN
aiti-13951	320	48	3	3	NUM
aiti-13951	320	49	,	,	PUNCT
aiti-13951	320	50	pp	pp	ADJ
aiti-13951	320	51	.	.	PUNCT
aiti-13951	320	52	325	325	NUM
aiti-13951	320	53	-	-	SYM
aiti-13951	320	54	408	408	NUM
aiti-13951	320	55	,	,	PUNCT
aiti-13951	320	56	march	march	PROPN
aiti-13951	320	57	2023	2023	NUM
aiti-13951	320	58	.	.	PUNCT
aiti-13951	321	1	[	[	X
aiti-13951	321	2	9	9	NUM
aiti-13951	321	3	]	]	X
aiti-13951	321	4	y.	y.	NOUN
aiti-13951	321	5	hus	hus	PROPN
aiti-13951	321	6	and	and	CCONJ
aiti-13951	321	7	o.	o.	PROPN
aiti-13951	321	8	segal	segal	PROPN
aiti-13951	321	9	,	,	PUNCT
aiti-13951	321	10	“	"	PUNCT
aiti-13951	321	11	challenges	challenge	NOUN
aiti-13951	321	12	surrounding	surround	VERB
aiti-13951	321	13	the	the	DET
aiti-13951	321	14	diagnosis	diagnosis	NOUN
aiti-13951	321	15	of	of	ADP
aiti-13951	321	16	autism	autism	NOUN
aiti-13951	321	17	in	in	ADP
aiti-13951	321	18	children	child	NOUN
aiti-13951	321	19	,	,	PUNCT
aiti-13951	321	20	”	"	PUNCT
aiti-13951	321	21	neuropsychiatric	neuropsychiatric	ADJ
aiti-13951	321	22	disease	disease	NOUN
aiti-13951	321	23	and	and	CCONJ
aiti-13951	321	24	treatment	treatment	NOUN
aiti-13951	321	25	,	,	PUNCT
aiti-13951	321	26	vol	vol	NOUN
aiti-13951	321	27	.	.	PROPN
aiti-13951	321	28	17	17	NUM
aiti-13951	321	29	,	,	PUNCT
aiti-13951	321	30	pp	pp	ADJ
aiti-13951	321	31	.	.	PUNCT
aiti-13951	322	1	3509	3509	NUM
aiti-13951	322	2	-	-	SYM
aiti-13951	322	3	3529	3529	NUM
aiti-13951	322	4	,	,	PUNCT
aiti-13951	322	5	2021	2021	NUM
aiti-13951	322	6	.	.	PUNCT
aiti-13951	323	1	[	[	X
aiti-13951	323	2	10	10	NUM
aiti-13951	323	3	]	]	X
aiti-13951	323	4	r.	r.	PROPN
aiti-13951	323	5	c.	c.	PROPN
aiti-13951	323	6	sheldrick	sheldrick	PROPN
aiti-13951	323	7	,	,	PUNCT
aiti-13951	323	8	a.	a.	PROPN
aiti-13951	323	9	s.	s.	PROPN
aiti-13951	323	10	carter	carter	PROPN
aiti-13951	323	11	,	,	PUNCT
aiti-13951	323	12	a.	a.	NOUN
aiti-13951	323	13	eisenhower	eisenhower	PROPN
aiti-13951	323	14	,	,	PUNCT
aiti-13951	323	15	t.	t.	PROPN
aiti-13951	323	16	i.	i.	PROPN
aiti-13951	323	17	mackie	mackie	PROPN
aiti-13951	323	18	,	,	PUNCT
aiti-13951	323	19	m.	m.	PROPN
aiti-13951	323	20	b.	b.	PROPN
aiti-13951	323	21	cole	cole	PROPN
aiti-13951	323	22	,	,	PUNCT
aiti-13951	323	23	n.	n.	PROPN
aiti-13951	323	24	hoch	hoch	PROPN
aiti-13951	323	25	,	,	PUNCT
aiti-13951	323	26	et	et	PROPN
aiti-13951	323	27	al	al	PROPN
aiti-13951	323	28	.	.	PROPN
aiti-13951	323	29	,	,	PUNCT
aiti-13951	323	30	“	"	PUNCT
aiti-13951	323	31	effectiveness	effectiveness	NOUN
aiti-13951	323	32	of	of	ADP
aiti-13951	323	33	screening	screen	VERB
aiti-13951	323	34	in	in	ADP
aiti-13951	323	35	early	early	ADJ
aiti-13951	323	36	intervention	intervention	NOUN
aiti-13951	323	37	settings	setting	NOUN
aiti-13951	323	38	to	to	PART
aiti-13951	323	39	improve	improve	VERB
aiti-13951	323	40	diagnosis	diagnosis	NOUN
aiti-13951	323	41	of	of	ADP
aiti-13951	323	42	autism	autism	NOUN
aiti-13951	323	43	and	and	CCONJ
aiti-13951	323	44	reduce	reduce	VERB
aiti-13951	323	45	health	health	NOUN
aiti-13951	323	46	disparities	disparity	NOUN
aiti-13951	323	47	,	,	PUNCT
aiti-13951	323	48	”	"	PUNCT
aiti-13951	323	49	jama	jama	NOUN
aiti-13951	323	50	pediatrics	pediatric	NOUN
aiti-13951	323	51	,	,	PUNCT
aiti-13951	323	52	vol	vol	NOUN
aiti-13951	323	53	.	.	PROPN
aiti-13951	323	54	176	176	NUM
aiti-13951	323	55	,	,	PUNCT
aiti-13951	323	56	no	no	INTJ
aiti-13951	323	57	.	.	NOUN
aiti-13951	323	58	3	3	NUM
aiti-13951	323	59	,	,	PUNCT
aiti-13951	323	60	pp	pp	ADJ
aiti-13951	323	61	.	.	PUNCT
aiti-13951	324	1	262	262	NUM
aiti-13951	324	2	-	-	SYM
aiti-13951	324	3	269	269	NUM
aiti-13951	324	4	,	,	PUNCT
aiti-13951	324	5	march	march	PROPN
aiti-13951	324	6	2022	2022	NUM
aiti-13951	324	7	.	.	PUNCT
aiti-13951	325	1	[	[	X
aiti-13951	325	2	11	11	NUM
aiti-13951	325	3	]	]	X
aiti-13951	325	4	e.	e.	PROPN
aiti-13951	325	5	helmy	helmy	PROPN
aiti-13951	325	6	,	,	PUNCT
aiti-13951	325	7	a.	a.	NOUN
aiti-13951	325	8	elnakib	elnakib	NOUN
aiti-13951	325	9	,	,	PUNCT
aiti-13951	325	10	y.	y.	PROPN
aiti-13951	325	11	elnakieb	elnakieb	PROPN
aiti-13951	325	12	,	,	PUNCT
aiti-13951	325	13	m.	m.	NOUN
aiti-13951	325	14	khudri	khudri	PROPN
aiti-13951	325	15	,	,	PUNCT
aiti-13951	325	16	m.	m.	NOUN
aiti-13951	325	17	abdelrahim	abdelrahim	PROPN
aiti-13951	325	18	,	,	PUNCT
aiti-13951	325	19	j.	j.	PROPN
aiti-13951	325	20	yousaf	yousaf	PROPN
aiti-13951	325	21	,	,	PUNCT
aiti-13951	325	22	et	et	PROPN
aiti-13951	325	23	al	al	PROPN
aiti-13951	325	24	.	.	PROPN
aiti-13951	325	25	,	,	PUNCT
aiti-13951	325	26	“	"	PUNCT
aiti-13951	325	27	role	role	NOUN
aiti-13951	325	28	of	of	ADP
aiti-13951	325	29	artificial	artificial	ADJ
aiti-13951	325	30	intelligence	intelligence	NOUN
aiti-13951	325	31	for	for	ADP
aiti-13951	325	32	autism	autism	NOUN
aiti-13951	325	33	diagnosis	diagnosis	NOUN
aiti-13951	325	34	using	use	VERB
aiti-13951	325	35	dti	dti	PROPN
aiti-13951	325	36	and	and	CCONJ
aiti-13951	325	37	fmri	fmri	PROPN
aiti-13951	325	38	:	:	PUNCT
aiti-13951	325	39	a	a	DET
aiti-13951	325	40	survey	survey	NOUN
aiti-13951	325	41	,	,	PUNCT
aiti-13951	325	42	”	"	PUNCT
aiti-13951	325	43	biomedicines	biomedicine	NOUN
aiti-13951	325	44	,	,	PUNCT
aiti-13951	325	45	vol	vol	NOUN
aiti-13951	325	46	.	.	PROPN
aiti-13951	325	47	11	11	NUM
aiti-13951	325	48	,	,	PUNCT
aiti-13951	325	49	no	no	INTJ
aiti-13951	325	50	.	.	NOUN
aiti-13951	325	51	7	7	NUM
aiti-13951	325	52	,	,	PUNCT
aiti-13951	325	53	article	article	NOUN
aiti-13951	325	54	no	no	NOUN
aiti-13951	325	55	.	.	PROPN
aiti-13951	325	56	1858	1858	NUM
aiti-13951	325	57	,	,	PUNCT
aiti-13951	325	58	july	july	PROPN
aiti-13951	325	59	2023	2023	NUM
aiti-13951	325	60	.	.	PUNCT
aiti-13951	326	1	[	[	X
aiti-13951	326	2	12	12	NUM
aiti-13951	326	3	]	]	PUNCT
aiti-13951	326	4	m.	m.	NOUN
aiti-13951	326	5	parellada	parellada	PROPN
aiti-13951	326	6	,	,	PUNCT
aiti-13951	326	7	a.	a.	PROPN
aiti-13951	326	8	andreu	andreu	PROPN
aiti-13951	326	9	-	-	PUNCT
aiti-13951	326	10	bernabeu	bernabeu	PROPN
aiti-13951	326	11	,	,	PUNCT
aiti-13951	326	12	m.	m.	NOUN
aiti-13951	326	13	burdeus	burdeus	PROPN
aiti-13951	326	14	,	,	PUNCT
aiti-13951	326	15	a.	a.	PROPN
aiti-13951	326	16	san	san	PROPN
aiti-13951	326	17	josé	josé	PROPN
aiti-13951	326	18	cáceres	cáceres	PROPN
aiti-13951	326	19	,	,	PUNCT
aiti-13951	326	20	e.	e.	PROPN
aiti-13951	326	21	urbiola	urbiola	PROPN
aiti-13951	326	22	,	,	PUNCT
aiti-13951	326	23	l.	l.	PROPN
aiti-13951	326	24	l.	l.	PROPN
aiti-13951	326	25	carpenter	carpenter	PROPN
aiti-13951	326	26	,	,	PUNCT
aiti-13951	326	27	et	et	PROPN
aiti-13951	326	28	al	al	PROPN
aiti-13951	326	29	.	.	PROPN
aiti-13951	326	30	,	,	PUNCT
aiti-13951	326	31	“	"	PUNCT
aiti-13951	326	32	in	in	ADP
aiti-13951	326	33	search	search	NOUN
aiti-13951	326	34	of	of	ADP
aiti-13951	326	35	biomarkers	biomarker	NOUN
aiti-13951	326	36	to	to	PART
aiti-13951	326	37	guide	guide	VERB
aiti-13951	326	38	interventions	intervention	NOUN
aiti-13951	326	39	in	in	ADP
aiti-13951	326	40	autism	autism	NOUN
aiti-13951	326	41	spectrum	spectrum	NOUN
aiti-13951	326	42	disorder	disorder	NOUN
aiti-13951	326	43	:	:	PUNCT
aiti-13951	326	44	a	a	DET
aiti-13951	326	45	systematic	systematic	ADJ
aiti-13951	326	46	review	review	NOUN
aiti-13951	326	47	,	,	PUNCT
aiti-13951	326	48	”	"	PUNCT
aiti-13951	326	49	american	american	ADJ
aiti-13951	326	50	journal	journal	PROPN
aiti-13951	326	51	of	of	ADP
aiti-13951	326	52	psychiatry	psychiatry	NOUN
aiti-13951	326	53	,	,	PUNCT
aiti-13951	326	54	vol	vol	NOUN
aiti-13951	326	55	.	.	PROPN
aiti-13951	326	56	180	180	NUM
aiti-13951	326	57	,	,	PUNCT
aiti-13951	326	58	no	no	INTJ
aiti-13951	326	59	.	.	NOUN
aiti-13951	326	60	1	1	NUM
aiti-13951	326	61	,	,	PUNCT
aiti-13951	326	62	pp	pp	ADJ
aiti-13951	326	63	.	.	PUNCT
aiti-13951	327	1	23	23	NUM
aiti-13951	327	2	-	-	SYM
aiti-13951	327	3	40	40	NUM
aiti-13951	327	4	,	,	PUNCT
aiti-13951	327	5	january	january	PROPN
aiti-13951	327	6	2023	2023	NUM
aiti-13951	327	7	.	.	PUNCT
aiti-13951	328	1	[	[	X
aiti-13951	328	2	13	13	NUM
aiti-13951	328	3	]	]	X
aiti-13951	328	4	j.	j.	PROPN
aiti-13951	328	5	shan	shan	PROPN
aiti-13951	328	6	,	,	PUNCT
aiti-13951	328	7	y.	y.	PROPN
aiti-13951	328	8	gu	gu	PROPN
aiti-13951	328	9	,	,	PUNCT
aiti-13951	328	10	j.	j.	PROPN
aiti-13951	328	11	zhang	zhang	PROPN
aiti-13951	328	12	,	,	PUNCT
aiti-13951	328	13	x.	x.	PROPN
aiti-13951	328	14	hu	hu	PROPN
aiti-13951	328	15	,	,	PUNCT
aiti-13951	328	16	h.	h.	PROPN
aiti-13951	328	17	wu	wu	PROPN
aiti-13951	328	18	,	,	PUNCT
aiti-13951	328	19	t.	t.	PROPN
aiti-13951	328	20	yuan	yuan	PROPN
aiti-13951	328	21	,	,	PUNCT
aiti-13951	328	22	et	et	PROPN
aiti-13951	328	23	al	al	PROPN
aiti-13951	328	24	.	.	PROPN
aiti-13951	328	25	,	,	PUNCT
aiti-13951	328	26	“	"	PUNCT
aiti-13951	328	27	a	a	DET
aiti-13951	328	28	scoping	scope	VERB
aiti-13951	328	29	review	review	NOUN
aiti-13951	328	30	of	of	ADP
aiti-13951	328	31	physiological	physiological	ADJ
aiti-13951	328	32	biomarkers	biomarker	NOUN
aiti-13951	328	33	in	in	ADP
aiti-13951	328	34	autism	autism	NOUN
aiti-13951	328	35	,	,	PUNCT
aiti-13951	328	36	”	"	PUNCT
aiti-13951	328	37	frontiers	frontier	NOUN
aiti-13951	328	38	in	in	ADP
aiti-13951	328	39	neuroscience	neuroscience	NOUN
aiti-13951	328	40	,	,	PUNCT
aiti-13951	328	41	vol	vol	NOUN
aiti-13951	328	42	.	.	PROPN
aiti-13951	328	43	17	17	NUM
aiti-13951	328	44	,	,	PUNCT
aiti-13951	328	45	article	article	NOUN
aiti-13951	328	46	no	no	NOUN
aiti-13951	328	47	.	.	PUNCT
aiti-13951	328	48	1269880	1269880	NUM
aiti-13951	328	49	,	,	PUNCT
aiti-13951	328	50	september	september	PROPN
aiti-13951	328	51	2023	2023	NUM
aiti-13951	328	52	.	.	PUNCT
aiti-13951	329	1	[	[	X
aiti-13951	329	2	14	14	NUM
aiti-13951	329	3	]	]	X
aiti-13951	329	4	c.	c.	PROPN
aiti-13951	329	5	z.	z.	PROPN
aiti-13951	329	6	c.	c.	PROPN
aiti-13951	329	7	hasan	hasan	PROPN
aiti-13951	329	8	,	,	PUNCT
aiti-13951	329	9	r.	r.	PROPN
aiti-13951	329	10	jailani	jailani	PROPN
aiti-13951	329	11	,	,	PUNCT
aiti-13951	329	12	and	and	CCONJ
aiti-13951	329	13	n.	n.	PROPN
aiti-13951	329	14	m.	m.	PROPN
aiti-13951	329	15	tahir	tahir	PROPN
aiti-13951	329	16	,	,	PUNCT
aiti-13951	329	17	“	"	PUNCT
aiti-13951	329	18	autism	autism	NOUN
aiti-13951	329	19	spectrum	spectrum	NOUN
aiti-13951	329	20	disorder	disorder	NOUN
aiti-13951	329	21	and	and	CCONJ
aiti-13951	329	22	normal	normal	ADJ
aiti-13951	329	23	gait	gait	NOUN
aiti-13951	329	24	classification	classification	NOUN
aiti-13951	329	25	using	use	VERB
aiti-13951	329	26	machine	machine	NOUN
aiti-13951	329	27	learning	learning	NOUN
aiti-13951	329	28	approach	approach	NOUN
aiti-13951	329	29	,	,	PUNCT
aiti-13951	329	30	”	"	PUNCT
aiti-13951	329	31	southeast	southeast	PROPN
aiti-13951	329	32	europe	europe	PROPN
aiti-13951	329	33	journal	journal	PROPN
aiti-13951	329	34	of	of	ADP
aiti-13951	329	35	soft	soft	ADJ
aiti-13951	329	36	computing	computing	NOUN
aiti-13951	329	37	,	,	PUNCT
aiti-13951	329	38	vol	vol	NOUN
aiti-13951	329	39	.	.	PROPN
aiti-13951	329	40	12	12	NUM
aiti-13951	329	41	,	,	PUNCT
aiti-13951	329	42	no	no	INTJ
aiti-13951	329	43	.	.	NOUN
aiti-13951	329	44	1	1	NUM
aiti-13951	329	45	,	,	PUNCT
aiti-13951	329	46	pp	pp	ADJ
aiti-13951	329	47	.	.	PUNCT
aiti-13951	330	1	57	57	NUM
aiti-13951	330	2	-	-	SYM
aiti-13951	330	3	63	63	NUM
aiti-13951	330	4	,	,	PUNCT
aiti-13951	330	5	2023	2023	NUM
aiti-13951	330	6	.	.	PUNCT
aiti-13951	331	1	[	[	X
aiti-13951	331	2	15	15	NUM
aiti-13951	331	3	]	]	X
aiti-13951	331	4	x.	x.	NOUN
aiti-13951	331	5	geng	geng	PROPN
aiti-13951	331	6	,	,	PUNCT
aiti-13951	331	7	x.	x.	PROPN
aiti-13951	331	8	fan	fan	PROPN
aiti-13951	331	9	,	,	PUNCT
aiti-13951	331	10	y.	y.	PROPN
aiti-13951	331	11	zhong	zhong	PROPN
aiti-13951	331	12	,	,	PUNCT
aiti-13951	331	13	m.	m.	PROPN
aiti-13951	331	14	f.	f.	PROPN
aiti-13951	331	15	casanova	casanova	PROPN
aiti-13951	331	16	,	,	PUNCT
aiti-13951	331	17	e.	e.	PROPN
aiti-13951	331	18	m.	m.	PROPN
aiti-13951	331	19	sokhadze	sokhadze	PROPN
aiti-13951	331	20	,	,	PUNCT
aiti-13951	331	21	x.	x.	PROPN
aiti-13951	331	22	li	li	PROPN
aiti-13951	331	23	,	,	PUNCT
aiti-13951	331	24	et	et	PROPN
aiti-13951	331	25	al	al	PROPN
aiti-13951	331	26	.	.	PROPN
aiti-13951	331	27	,	,	PUNCT
aiti-13951	331	28	“	"	PUNCT
aiti-13951	331	29	abnormalities	abnormality	NOUN
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aiti-13951	331	31	eeg	eeg	NOUN
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aiti-13951	331	33	connectivity	connectivity	NOUN
aiti-13951	331	34	and	and	CCONJ
aiti-13951	331	35	effective	effective	ADJ
aiti-13951	331	36	connectivity	connectivity	NOUN
aiti-13951	331	37	in	in	ADP
aiti-13951	331	38	children	child	NOUN
aiti-13951	331	39	with	with	ADP
aiti-13951	331	40	autism	autism	NOUN
aiti-13951	331	41	spectrum	spectrum	NOUN
aiti-13951	331	42	disorder	disorder	NOUN
aiti-13951	331	43	,	,	PUNCT
aiti-13951	331	44	”	"	PUNCT
aiti-13951	331	45	brain	brain	NOUN
aiti-13951	331	46	sciences	science	NOUN
aiti-13951	331	47	,	,	PUNCT
aiti-13951	331	48	vol	vol	NOUN
aiti-13951	331	49	.	.	PROPN
aiti-13951	331	50	13	13	NUM
aiti-13951	331	51	,	,	PUNCT
aiti-13951	331	52	no	no	INTJ
aiti-13951	331	53	.	.	NOUN
aiti-13951	331	54	1	1	NUM
aiti-13951	331	55	,	,	PUNCT
aiti-13951	331	56	article	article	NOUN
aiti-13951	331	57	no	no	NOUN
aiti-13951	331	58	.	.	PROPN
aiti-13951	331	59	130	130	NUM
aiti-13951	331	60	,	,	PUNCT
aiti-13951	331	61	january	january	NOUN
aiti-13951	331	62	2023	2023	NUM
aiti-13951	331	63	.	.	PUNCT
aiti-13951	332	1	[	[	X
aiti-13951	332	2	16	16	NUM
aiti-13951	332	3	]	]	X
aiti-13951	332	4	f.	f.	PROPN
aiti-13951	332	5	salto	salto	PROPN
aiti-13951	332	6	,	,	PUNCT
aiti-13951	332	7	c.	c.	PROPN
aiti-13951	332	8	requena	requena	PROPN
aiti-13951	332	9	,	,	PUNCT
aiti-13951	332	10	p.	p.	PROPN
aiti-13951	332	11	alvarez	alvarez	PROPN
aiti-13951	332	12	-	-	PUNCT
aiti-13951	332	13	merino	merino	PROPN
aiti-13951	332	14	,	,	PUNCT
aiti-13951	332	15	v.	v.	ADP
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aiti-13951	332	17	,	,	PUNCT
aiti-13951	332	18	j.	j.	PROPN
aiti-13951	332	19	poza	poza	PROPN
aiti-13951	332	20	,	,	PUNCT
aiti-13951	332	21	and	and	CCONJ
aiti-13951	332	22	r.	r.	PROPN
aiti-13951	332	23	hornero	hornero	PROPN
aiti-13951	332	24	,	,	PUNCT
aiti-13951	332	25	“	"	PUNCT
aiti-13951	332	26	electrical	electrical	ADJ
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aiti-13951	332	28	of	of	ADP
aiti-13951	332	29	logical	logical	ADJ
aiti-13951	332	30	complexity	complexity	NOUN
aiti-13951	332	31	:	:	PUNCT
aiti-13951	332	32	an	an	DET
aiti-13951	332	33	exploratory	exploratory	ADJ
aiti-13951	332	34	eeg	eeg	NOUN
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aiti-13951	332	41	deducive	deducive	ADJ
aiti-13951	332	42	inference	inference	NOUN
aiti-13951	332	43	,	,	PUNCT
aiti-13951	332	44	”	"	PUNCT
aiti-13951	332	45	brain	brain	NOUN
aiti-13951	332	46	informatics	informatic	NOUN
aiti-13951	332	47	,	,	PUNCT
aiti-13951	332	48	vol	vol	NOUN
aiti-13951	332	49	.	.	PROPN
aiti-13951	332	50	10	10	NUM
aiti-13951	332	51	,	,	PUNCT
aiti-13951	332	52	no	no	INTJ
aiti-13951	332	53	.	.	NOUN
aiti-13951	332	54	1	1	NUM
aiti-13951	332	55	,	,	PUNCT
aiti-13951	332	56	article	article	NOUN
aiti-13951	332	57	no	no	NOUN
aiti-13951	332	58	.	.	PROPN
aiti-13951	332	59	13	13	NUM
aiti-13951	332	60	,	,	PUNCT
aiti-13951	332	61	december	december	PROPN
aiti-13951	332	62	2023	2023	NUM
aiti-13951	332	63	.	.	PUNCT
aiti-13951	333	1	300	300	NUM
aiti-13951	333	2	advances	advance	NOUN
aiti-13951	333	3	in	in	ADP
aiti-13951	333	4	technology	technology	NOUN
aiti-13951	333	5	innovation	innovation	NOUN
aiti-13951	333	6	,	,	PUNCT
aiti-13951	333	7	vol	vol	NOUN
aiti-13951	333	8	.	.	PROPN
aiti-13951	333	9	9	9	NUM
aiti-13951	333	10	,	,	PUNCT
aiti-13951	333	11	no	no	INTJ
aiti-13951	333	12	.	.	NOUN
aiti-13951	333	13	4	4	NUM
aiti-13951	333	14	,	,	PUNCT
aiti-13951	333	15	2024	2024	NUM
aiti-13951	333	16	,	,	PUNCT
aiti-13951	333	17	pp	pp	ADJ
aiti-13951	333	18	.	.	PUNCT
aiti-13951	334	1	287	287	NUM
aiti-13951	334	2	-	-	SYM
aiti-13951	334	3	300	300	NUM
aiti-13951	335	1	[	[	X
aiti-13951	335	2	17	17	NUM
aiti-13951	335	3	]	]	X
aiti-13951	335	4	g.	g.	PROPN
aiti-13951	335	5	chiarion	chiarion	PROPN
aiti-13951	335	6	,	,	PUNCT
aiti-13951	335	7	l.	l.	PROPN
aiti-13951	335	8	sparacino	sparacino	PROPN
aiti-13951	335	9	,	,	PUNCT
aiti-13951	335	10	y.	y.	PROPN
aiti-13951	335	11	antonacci	antonacci	PROPN
aiti-13951	335	12	,	,	PUNCT
aiti-13951	335	13	l.	l.	PROPN
aiti-13951	335	14	faes	faes	PROPN
aiti-13951	335	15	,	,	PUNCT
aiti-13951	335	16	and	and	CCONJ
aiti-13951	335	17	l.	l.	PROPN
aiti-13951	335	18	mesin	mesin	PROPN
aiti-13951	335	19	,	,	PUNCT
aiti-13951	335	20	“	"	PUNCT
aiti-13951	335	21	connectivity	connectivity	NOUN
aiti-13951	335	22	analysis	analysis	NOUN
aiti-13951	335	23	in	in	ADP
aiti-13951	335	24	eeg	eeg	PROPN
aiti-13951	335	25	data	datum	NOUN
aiti-13951	335	26	:	:	PUNCT
aiti-13951	335	27	a	a	DET
aiti-13951	335	28	tutorial	tutorial	ADJ
aiti-13951	335	29	review	review	NOUN
aiti-13951	335	30	of	of	ADP
aiti-13951	335	31	the	the	DET
aiti-13951	335	32	state	state	NOUN
aiti-13951	335	33	of	of	ADP
aiti-13951	335	34	the	the	DET
aiti-13951	335	35	art	art	NOUN
aiti-13951	335	36	and	and	CCONJ
aiti-13951	335	37	emerging	emerge	VERB
aiti-13951	335	38	trends	trend	NOUN
aiti-13951	335	39	,	,	PUNCT
aiti-13951	335	40	”	"	PUNCT
aiti-13951	335	41	bioengineering	bioengineering	NOUN
aiti-13951	335	42	,	,	PUNCT
aiti-13951	335	43	vol	vol	NOUN
aiti-13951	335	44	.	.	PROPN
aiti-13951	335	45	10	10	NUM
aiti-13951	335	46	,	,	PUNCT
aiti-13951	335	47	no	no	INTJ
aiti-13951	335	48	.	.	NOUN
aiti-13951	335	49	3	3	NUM
aiti-13951	335	50	,	,	PUNCT
aiti-13951	335	51	article	article	NOUN
aiti-13951	335	52	no	no	NOUN
aiti-13951	335	53	.	.	PROPN
aiti-13951	335	54	372	372	NUM
aiti-13951	335	55	,	,	PUNCT
aiti-13951	335	56	march	march	PROPN
aiti-13951	335	57	2023	2023	NUM
aiti-13951	335	58	.	.	PUNCT
aiti-13951	336	1	[	[	X
aiti-13951	336	2	18	18	NUM
aiti-13951	336	3	]	]	X
aiti-13951	336	4	c.	c.	PROPN
aiti-13951	336	5	clairmont	clairmont	PROPN
aiti-13951	336	6	,	,	PUNCT
aiti-13951	336	7	j.	j.	PROPN
aiti-13951	336	8	wang	wang	PROPN
aiti-13951	336	9	,	,	PUNCT
aiti-13951	336	10	s.	s.	PROPN
aiti-13951	336	11	tariq	tariq	PROPN
aiti-13951	336	12	,	,	PUNCT
aiti-13951	336	13	h.	h.	PROPN
aiti-13951	336	14	t.	t.	PROPN
aiti-13951	336	15	sherman	sherman	PROPN
aiti-13951	336	16	,	,	PUNCT
aiti-13951	336	17	m.	m.	NOUN
aiti-13951	336	18	zhao	zhao	PROPN
aiti-13951	336	19	,	,	PUNCT
aiti-13951	336	20	and	and	CCONJ
aiti-13951	336	21	x.	x.	PROPN
aiti-13951	336	22	j.	j.	PROPN
aiti-13951	336	23	kong	kong	PROPN
aiti-13951	336	24	,	,	PUNCT
aiti-13951	336	25	“	"	PUNCT
aiti-13951	336	26	the	the	DET
aiti-13951	336	27	value	value	NOUN
aiti-13951	336	28	of	of	ADP
aiti-13951	336	29	brain	brain	NOUN
aiti-13951	336	30	imaging	imaging	NOUN
aiti-13951	336	31	and	and	CCONJ
aiti-13951	336	32	electrophysiological	electrophysiological	ADJ
aiti-13951	336	33	testing	testing	NOUN
aiti-13951	336	34	for	for	ADP
aiti-13951	336	35	early	early	ADJ
aiti-13951	336	36	screening	screening	NOUN
aiti-13951	336	37	of	of	ADP
aiti-13951	336	38	autism	autism	NOUN
aiti-13951	336	39	spectrum	spectrum	NOUN
aiti-13951	336	40	disorder	disorder	NOUN
aiti-13951	336	41	:	:	PUNCT
aiti-13951	336	42	a	a	DET
aiti-13951	336	43	systematic	systematic	ADJ
aiti-13951	336	44	review	review	NOUN
aiti-13951	336	45	,	,	PUNCT
aiti-13951	336	46	”	"	PUNCT
aiti-13951	336	47	frontiers	frontier	NOUN
aiti-13951	336	48	in	in	ADP
aiti-13951	336	49	neuroscience	neuroscience	NOUN
aiti-13951	336	50	,	,	PUNCT
aiti-13951	336	51	vol	vol	NOUN
aiti-13951	336	52	.	.	PROPN
aiti-13951	336	53	15	15	NUM
aiti-13951	336	54	,	,	PUNCT
aiti-13951	336	55	article	article	NOUN
aiti-13951	336	56	no	no	NOUN
aiti-13951	336	57	.	.	PROPN
aiti-13951	336	58	812946	812946	NUM
aiti-13951	336	59	,	,	PUNCT
aiti-13951	336	60	2021	2021	NUM
aiti-13951	336	61	.	.	PUNCT
aiti-13951	337	1	[	[	X
aiti-13951	337	2	19	19	NUM
aiti-13951	337	3	]	]	PUNCT
aiti-13951	337	4	t.	t.	NOUN
aiti-13951	337	5	heunis	heunis	PROPN
aiti-13951	337	6	,	,	PUNCT
aiti-13951	337	7	c.	c.	PROPN
aiti-13951	337	8	aldrich	aldrich	PROPN
aiti-13951	337	9	,	,	PUNCT
aiti-13951	337	10	j.	j.	PROPN
aiti-13951	337	11	m.	m.	PROPN
aiti-13951	337	12	peters	peters	PROPN
aiti-13951	337	13	,	,	PUNCT
aiti-13951	337	14	s.	s.	PROPN
aiti-13951	337	15	s.	s.	PROPN
aiti-13951	337	16	jeste	jeste	PROPN
aiti-13951	337	17	,	,	PUNCT
aiti-13951	337	18	m.	m.	PROPN
aiti-13951	337	19	sahin	sahin	PROPN
aiti-13951	337	20	,	,	PUNCT
aiti-13951	337	21	c.	c.	PROPN
aiti-13951	337	22	scheffer	scheffer	PROPN
aiti-13951	337	23	,	,	PUNCT
aiti-13951	337	24	et	et	PROPN
aiti-13951	337	25	al	al	PROPN
aiti-13951	337	26	.	.	PROPN
aiti-13951	337	27	,	,	PUNCT
aiti-13951	337	28	“	"	PUNCT
aiti-13951	337	29	recurrence	recurrence	VERB
aiti-13951	337	30	quantification	quantification	NOUN
aiti-13951	337	31	analysis	analysis	NOUN
aiti-13951	337	32	of	of	ADP
aiti-13951	337	33	resting	rest	VERB
aiti-13951	337	34	state	state	NOUN
aiti-13951	337	35	eeg	eeg	NOUN
aiti-13951	337	36	signals	signal	NOUN
aiti-13951	337	37	in	in	ADP
aiti-13951	337	38	autism	autism	NOUN
aiti-13951	337	39	spectrum	spectrum	NOUN
aiti-13951	337	40	disorder	disorder	NOUN
aiti-13951	337	41	–	–	PUNCT
aiti-13951	337	42	a	a	DET
aiti-13951	337	43	systematic	systematic	ADJ
aiti-13951	337	44	methodological	methodological	ADJ
aiti-13951	337	45	exploration	exploration	NOUN
aiti-13951	337	46	of	of	ADP
aiti-13951	337	47	technical	technical	ADJ
aiti-13951	337	48	and	and	CCONJ
aiti-13951	337	49	demographic	demographic	ADJ
aiti-13951	337	50	confounders	confounder	NOUN
aiti-13951	337	51	in	in	ADP
aiti-13951	337	52	the	the	DET
aiti-13951	337	53	search	search	NOUN
aiti-13951	337	54	for	for	ADP
aiti-13951	337	55	biomarkers	biomarker	NOUN
aiti-13951	337	56	,	,	PUNCT
aiti-13951	337	57	”	"	PUNCT
aiti-13951	337	58	bmc	bmc	ADJ
aiti-13951	337	59	medicine	medicine	NOUN
aiti-13951	337	60	,	,	PUNCT
aiti-13951	337	61	vol	vol	NOUN
aiti-13951	337	62	.	.	PROPN
aiti-13951	337	63	16	16	NUM
aiti-13951	337	64	,	,	PUNCT
aiti-13951	337	65	article	article	NOUN
aiti-13951	337	66	no	no	NOUN
aiti-13951	337	67	.	.	PROPN
aiti-13951	337	68	101	101	NUM
aiti-13951	337	69	,	,	PUNCT
aiti-13951	337	70	2018	2018	NUM
aiti-13951	337	71	.	.	PUNCT
aiti-13951	338	1	[	[	X
aiti-13951	338	2	20	20	NUM
aiti-13951	338	3	]	]	X
aiti-13951	338	4	d.	d.	PROPN
aiti-13951	338	5	haputhanthri	haputhanthri	PROPN
aiti-13951	338	6	,	,	PUNCT
aiti-13951	338	7	g.	g.	PROPN
aiti-13951	338	8	brihadiswaran	brihadiswaran	PROPN
aiti-13951	338	9	,	,	PUNCT
aiti-13951	338	10	s.	s.	PROPN
aiti-13951	338	11	gunathilaka	gunathilaka	PROPN
aiti-13951	338	12	,	,	PUNCT
aiti-13951	338	13	d.	d.	PROPN
aiti-13951	338	14	meedeniya	meedeniya	PROPN
aiti-13951	338	15	,	,	PUNCT
aiti-13951	338	16	y.	y.	PROPN
aiti-13951	338	17	jayawardena	jayawardena	PROPN
aiti-13951	338	18	,	,	PUNCT
aiti-13951	338	19	s.	s.	PROPN
aiti-13951	338	20	jayarathna	jayarathna	PROPN
aiti-13951	338	21	,	,	PUNCT
aiti-13951	338	22	et	et	PROPN
aiti-13951	338	23	al	al	PROPN
aiti-13951	338	24	.	.	PROPN
aiti-13951	338	25	,	,	PUNCT
aiti-13951	338	26	“	"	PUNCT
aiti-13951	338	27	an	an	DET
aiti-13951	338	28	eeg	eeg	NOUN
aiti-13951	338	29	based	base	VERB
aiti-13951	338	30	channel	channel	NOUN
aiti-13951	338	31	optimized	optimize	VERB
aiti-13951	338	32	classification	classification	NOUN
aiti-13951	338	33	approach	approach	NOUN
aiti-13951	338	34	for	for	ADP
aiti-13951	338	35	autism	autism	NOUN
aiti-13951	338	36	spectrum	spectrum	NOUN
aiti-13951	338	37	disorder	disorder	NOUN
aiti-13951	338	38	,	,	PUNCT
aiti-13951	338	39	”	"	PUNCT
aiti-13951	338	40	moratuwa	moratuwa	PROPN
aiti-13951	338	41	engineering	engineering	PROPN
aiti-13951	338	42	research	research	NOUN
aiti-13951	338	43	conference	conference	NOUN
aiti-13951	338	44	,	,	PUNCT
aiti-13951	338	45	pp	pp	ADJ
aiti-13951	338	46	.	.	PUNCT
aiti-13951	339	1	123	123	NUM
aiti-13951	339	2	-	-	SYM
aiti-13951	339	3	128	128	NUM
aiti-13951	339	4	,	,	PUNCT
aiti-13951	339	5	july	july	PROPN
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aiti-13951	339	7	.	.	PUNCT
aiti-13951	340	1	[	[	X
aiti-13951	340	2	21	21	NUM
aiti-13951	340	3	]	]	X
aiti-13951	340	4	d.	d.	PROPN
aiti-13951	340	5	abdolzadegan	abdolzadegan	PROPN
aiti-13951	340	6	,	,	PUNCT
aiti-13951	340	7	m.	m.	NOUN
aiti-13951	340	8	h.	h.	PROPN
aiti-13951	340	9	moattar	moattar	PROPN
aiti-13951	340	10	,	,	PUNCT
aiti-13951	340	11	and	and	CCONJ
aiti-13951	340	12	m.	m.	NOUN
aiti-13951	340	13	ghoshuni	ghoshuni	PROPN
aiti-13951	340	14	,	,	PUNCT
aiti-13951	340	15	“	"	PUNCT
aiti-13951	340	16	a	a	DET
aiti-13951	340	17	robust	robust	ADJ
aiti-13951	340	18	method	method	NOUN
aiti-13951	340	19	for	for	ADP
aiti-13951	340	20	early	early	ADJ
aiti-13951	340	21	diagnosis	diagnosis	NOUN
aiti-13951	340	22	of	of	ADP
aiti-13951	340	23	autism	autism	NOUN
aiti-13951	340	24	spectrum	spectrum	NOUN
aiti-13951	340	25	disorder	disorder	NOUN
aiti-13951	340	26	from	from	ADP
aiti-13951	340	27	eeg	eeg	NOUN
aiti-13951	340	28	signals	signal	NOUN
aiti-13951	340	29	based	base	VERB
aiti-13951	340	30	on	on	ADP
aiti-13951	340	31	feature	feature	NOUN
aiti-13951	340	32	selection	selection	NOUN
aiti-13951	340	33	and	and	CCONJ
aiti-13951	340	34	dbscan	dbscan	NOUN
aiti-13951	340	35	method	method	NOUN
aiti-13951	340	36	,	,	PUNCT
aiti-13951	340	37	”	"	PUNCT
aiti-13951	340	38	biocybernetics	biocybernetic	NOUN
aiti-13951	340	39	and	and	CCONJ
aiti-13951	340	40	biomedical	biomedical	ADJ
aiti-13951	340	41	engineering	engineering	NOUN
aiti-13951	340	42	,	,	PUNCT
aiti-13951	340	43	vol	vol	NOUN
aiti-13951	340	44	.	.	PROPN
aiti-13951	340	45	40	40	NUM
aiti-13951	340	46	,	,	PUNCT
aiti-13951	340	47	no	no	INTJ
aiti-13951	340	48	.	.	NOUN
aiti-13951	340	49	1	1	NUM
aiti-13951	340	50	,	,	PUNCT
aiti-13951	340	51	pp	pp	ADJ
aiti-13951	340	52	.	.	PUNCT
aiti-13951	341	1	482	482	NUM
aiti-13951	341	2	-	-	SYM
aiti-13951	341	3	493	493	NUM
aiti-13951	341	4	,	,	PUNCT
aiti-13951	341	5	january	january	PROPN
aiti-13951	341	6	-	-	PUNCT
aiti-13951	341	7	march	march	PROPN
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aiti-13951	341	9	.	.	PUNCT
aiti-13951	342	1	[	[	X
aiti-13951	342	2	22	22	NUM
aiti-13951	342	3	]	]	PUNCT
aiti-13951	342	4	m.	m.	NOUN
aiti-13951	342	5	radhakrishnan	radhakrishnan	PROPN
aiti-13951	342	6	,	,	PUNCT
aiti-13951	342	7	k.	k.	PROPN
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aiti-13951	342	9	,	,	PUNCT
aiti-13951	342	10	k.	k.	PROPN
aiti-13951	342	11	k.	k.	PROPN
aiti-13951	342	12	choudhury	choudhury	PROPN
aiti-13951	342	13	,	,	PUNCT
aiti-13951	342	14	d.	d.	PROPN
aiti-13951	342	15	won	win	VERB
aiti-13951	342	16	,	,	PUNCT
aiti-13951	342	17	and	and	CCONJ
aiti-13951	342	18	t.	t.	PROPN
aiti-13951	342	19	a.	a.	NOUN
aiti-13951	342	20	manoharan	manoharan	NOUN
aiti-13951	342	21	,	,	PUNCT
aiti-13951	342	22	“	"	PUNCT
aiti-13951	342	23	performance	performance	NOUN
aiti-13951	342	24	analysis	analysis	NOUN
aiti-13951	342	25	of	of	ADP
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aiti-13951	342	27	learning	learning	NOUN
aiti-13951	342	28	models	model	NOUN
aiti-13951	342	29	for	for	ADP
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aiti-13951	342	31	of	of	ADP
aiti-13951	342	32	autism	autism	NOUN
aiti-13951	342	33	spectrum	spectrum	NOUN
aiti-13951	342	34	disorder	disorder	NOUN
aiti-13951	342	35	from	from	ADP
aiti-13951	342	36	eeg	eeg	NOUN
aiti-13951	342	37	signals	signal	NOUN
aiti-13951	342	38	,	,	PUNCT
aiti-13951	342	39	”	"	PUNCT
aiti-13951	342	40	traitement	traitement	X
aiti-13951	342	41	du	du	PROPN
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aiti-13951	342	43	,	,	PUNCT
aiti-13951	342	44	vol	vol	NOUN
aiti-13951	342	45	.	.	PROPN
aiti-13951	343	1	38	38	NUM
aiti-13951	343	2	,	,	PUNCT
aiti-13951	343	3	no	no	INTJ
aiti-13951	343	4	.	.	NOUN
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aiti-13951	343	6	,	,	PUNCT
aiti-13951	343	7	pp	pp	ADJ
aiti-13951	343	8	.	.	PUNCT
aiti-13951	343	9	853	853	NUM
aiti-13951	343	10	-	-	SYM
aiti-13951	343	11	863	863	NUM
aiti-13951	343	12	,	,	PUNCT
aiti-13951	343	13	june	june	PROPN
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aiti-13951	343	15	.	.	PUNCT
aiti-13951	344	1	[	[	X
aiti-13951	344	2	23	23	NUM
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aiti-13951	344	4	p.	p.	NOUN
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aiti-13951	344	6	,	,	PUNCT
aiti-13951	344	7	s.	s.	PROPN
aiti-13951	344	8	baumeister	baumeister	PROPN
aiti-13951	344	9	,	,	PUNCT
aiti-13951	344	10	l.	l.	PROPN
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aiti-13951	344	12	,	,	PUNCT
aiti-13951	344	13	c.	c.	PROPN
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aiti-13951	344	16	,	,	PUNCT
aiti-13951	344	17	s.	s.	PROPN
aiti-13951	344	18	holiga	holiga	PROPN
aiti-13951	344	19	,	,	PUNCT
aiti-13951	344	20	j.	j.	PROPN
aiti-13951	344	21	dukart	dukart	PROPN
aiti-13951	344	22	,	,	PUNCT
aiti-13951	344	23	et	et	PROPN
aiti-13951	344	24	al	al	PROPN
aiti-13951	344	25	.	.	PROPN
aiti-13951	344	26	,	,	PUNCT
aiti-13951	344	27	“	"	PUNCT
aiti-13951	344	28	resting	rest	VERB
aiti-13951	344	29	state	state	NOUN
aiti-13951	344	30	eeg	eeg	PROPN
aiti-13951	344	31	power	power	NOUN
aiti-13951	344	32	spectrum	spectrum	NOUN
aiti-13951	344	33	and	and	CCONJ
aiti-13951	344	34	functional	functional	ADJ
aiti-13951	344	35	connectivity	connectivity	NOUN
aiti-13951	344	36	in	in	ADP
aiti-13951	344	37	autism	autism	NOUN
aiti-13951	344	38	:	:	PUNCT
aiti-13951	344	39	a	a	DET
aiti-13951	344	40	cross	cross	ADJ
aiti-13951	344	41	-	-	ADJ
aiti-13951	344	42	sectional	sectional	ADJ
aiti-13951	344	43	analysis	analysis	NOUN
aiti-13951	344	44	,	,	PUNCT
aiti-13951	344	45	”	"	PUNCT
aiti-13951	344	46	molecular	molecular	ADJ
aiti-13951	344	47	autism	autism	NOUN
aiti-13951	344	48	,	,	PUNCT
aiti-13951	344	49	vol	vol	NOUN
aiti-13951	344	50	.	.	PROPN
aiti-13951	344	51	13	13	NUM
aiti-13951	344	52	,	,	PUNCT
aiti-13951	344	53	article	article	NOUN
aiti-13951	344	54	no	no	NOUN
aiti-13951	344	55	.	.	PROPN
aiti-13951	344	56	22	22	NUM
aiti-13951	344	57	,	,	PUNCT
aiti-13951	344	58	2022	2022	NUM
aiti-13951	344	59	.	.	PUNCT
aiti-13951	345	1	[	[	X
aiti-13951	345	2	24	24	NUM
aiti-13951	345	3	]	]	X
aiti-13951	345	4	s.	s.	PROPN
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aiti-13951	345	6	and	and	CCONJ
aiti-13951	345	7	s.	s.	PROPN
aiti-13951	345	8	b.	b.	PROPN
aiti-13951	345	9	dhok	dhok	PROPN
aiti-13951	345	10	,	,	PUNCT
aiti-13951	345	11	“	"	PUNCT
aiti-13951	345	12	machine	machine	NOUN
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aiti-13951	345	15	p300	p300	PROPN
aiti-13951	345	16	classifier	classifier	NOUN
aiti-13951	345	17	for	for	ADP
aiti-13951	345	18	autism	autism	NOUN
aiti-13951	345	19	spectrum	spectrum	NOUN
aiti-13951	345	20	disorder	disorder	NOUN
aiti-13951	345	21	using	use	VERB
aiti-13951	345	22	adaptive	adaptive	ADJ
aiti-13951	345	23	signal	signal	ADJ
aiti-13951	345	24	decomposition	decomposition	NOUN
aiti-13951	345	25	,	,	PUNCT
aiti-13951	345	26	”	"	PUNCT
aiti-13951	345	27	brain	brain	NOUN
aiti-13951	345	28	sciences	science	NOUN
aiti-13951	345	29	,	,	PUNCT
aiti-13951	345	30	vol	vol	NOUN
aiti-13951	345	31	.	.	PROPN
aiti-13951	345	32	13	13	NUM
aiti-13951	345	33	,	,	PUNCT
aiti-13951	345	34	no	no	INTJ
aiti-13951	345	35	.	.	NOUN
aiti-13951	345	36	2	2	NUM
aiti-13951	345	37	,	,	PUNCT
aiti-13951	345	38	article	article	NOUN
aiti-13951	345	39	no	no	NOUN
aiti-13951	345	40	.	.	PROPN
aiti-13951	345	41	315	315	NUM
aiti-13951	345	42	,	,	PUNCT
aiti-13951	345	43	february	february	PROPN
aiti-13951	345	44	2023	2023	NUM
aiti-13951	345	45	.	.	PUNCT
aiti-13951	346	1	[	[	X
aiti-13951	346	2	25	25	NUM
aiti-13951	346	3	]	]	PUNCT
aiti-13951	346	4	“	"	PUNCT
aiti-13951	346	5	global	global	ADJ
aiti-13951	346	6	datasets	dataset	NOUN
aiti-13951	346	7	for	for	ADP
aiti-13951	346	8	autism	autism	NOUN
aiti-13951	346	9	disorder	disorder	NOUN
aiti-13951	346	10	,	,	PUNCT
aiti-13951	346	11	”	"	PUNCT
aiti-13951	346	12	https://malhaddad.kau.edu.sa/pages-bci-datasets.aspx	https://malhaddad.kau.edu.sa/pages-bci-datasets.aspx	PROPN
aiti-13951	346	13	,	,	PUNCT
aiti-13951	346	14	june	june	PROPN
aiti-13951	346	15	03	03	NUM
aiti-13951	346	16	,	,	PUNCT
aiti-13951	346	17	2023	2023	NUM
aiti-13951	346	18	.	.	PUNCT
aiti-13951	347	1	[	[	X
aiti-13951	347	2	26	26	NUM
aiti-13951	347	3	]	]	X
aiti-13951	347	4	r.	r.	PROPN
aiti-13951	347	5	silva	silva	PROPN
aiti-13951	347	6	and	and	CCONJ
aiti-13951	347	7	p.	p.	PROPN
aiti-13951	347	8	melo	melo	PROPN
aiti-13951	347	9	-	-	PUNCT
aiti-13951	347	10	pinto	pinto	PROPN
aiti-13951	347	11	,	,	PUNCT
aiti-13951	347	12	“	"	PUNCT
aiti-13951	347	13	t	t	PROPN
aiti-13951	347	14	-	-	PUNCT
aiti-13951	347	15	sne	sne	NOUN
aiti-13951	347	16	:	:	PUNCT
aiti-13951	347	17	a	a	DET
aiti-13951	347	18	study	study	NOUN
aiti-13951	347	19	on	on	ADP
aiti-13951	347	20	reducing	reduce	VERB
aiti-13951	347	21	the	the	DET
aiti-13951	347	22	dimensionality	dimensionality	NOUN
aiti-13951	347	23	of	of	ADP
aiti-13951	347	24	hyperspectral	hyperspectral	ADJ
aiti-13951	347	25	data	datum	NOUN
aiti-13951	347	26	for	for	ADP
aiti-13951	347	27	the	the	DET
aiti-13951	347	28	regression	regression	NOUN
aiti-13951	347	29	problem	problem	NOUN
aiti-13951	347	30	of	of	ADP
aiti-13951	347	31	estimating	estimate	VERB
aiti-13951	347	32	oenological	oenological	ADJ
aiti-13951	347	33	parameters	parameter	NOUN
aiti-13951	347	34	,	,	PUNCT
aiti-13951	347	35	”	"	PUNCT
aiti-13951	347	36	artificial	artificial	ADJ
aiti-13951	347	37	intelligence	intelligence	NOUN
aiti-13951	347	38	in	in	ADP
aiti-13951	347	39	agriculture	agriculture	NOUN
aiti-13951	347	40	,	,	PUNCT
aiti-13951	347	41	vol	vol	NOUN
aiti-13951	347	42	.	.	PROPN
aiti-13951	347	43	7	7	NUM
aiti-13951	347	44	,	,	PUNCT
aiti-13951	347	45	pp	pp	ADJ
aiti-13951	347	46	.	.	PUNCT
aiti-13951	348	1	58	58	NUM
aiti-13951	348	2	-	-	SYM
aiti-13951	348	3	68	68	NUM
aiti-13951	348	4	,	,	PUNCT
aiti-13951	348	5	march	march	PROPN
aiti-13951	348	6	2023	2023	NUM
aiti-13951	348	7	.	.	PUNCT
aiti-13951	349	1	copyright	copyright	NOUN
aiti-13951	349	2	©	©	PROPN
aiti-13951	349	3	by	by	ADP
aiti-13951	349	4	the	the	DET
aiti-13951	349	5	authors	author	NOUN
aiti-13951	349	6	.	.	PUNCT
aiti-13951	350	1	licensee	licensee	PROPN
aiti-13951	350	2	taeti	taeti	PROPN
aiti-13951	350	3	,	,	PUNCT
aiti-13951	350	4	taiwan	taiwan	PROPN
aiti-13951	350	5	.	.	PUNCT
aiti-13951	351	1	this	this	DET
aiti-13951	351	2	article	article	NOUN
aiti-13951	351	3	is	be	AUX
aiti-13951	351	4	an	an	DET
aiti-13951	351	5	open	open	ADJ
aiti-13951	351	6	-	-	PUNCT
aiti-13951	351	7	access	access	NOUN
aiti-13951	351	8	article	article	NOUN
aiti-13951	351	9	distributed	distribute	VERB
aiti-13951	351	10	under	under	ADP
aiti-13951	351	11	the	the	DET
aiti-13951	351	12	terms	term	NOUN
aiti-13951	351	13	and	and	CCONJ
aiti-13951	351	14	conditions	condition	NOUN
aiti-13951	351	15	of	of	ADP
aiti-13951	351	16	the	the	DET
aiti-13951	351	17	creative	creative	ADJ
aiti-13951	351	18	commons	common	NOUN
aiti-13951	351	19	attribution	attribution	NOUN
aiti-13951	351	20	(	(	PUNCT
aiti-13951	351	21	cc	cc	NOUN
aiti-13951	351	22	by	by	ADP
aiti-13951	351	23	-	-	PUNCT
aiti-13951	351	24	nc	nc	NOUN
aiti-13951	351	25	)	)	PUNCT
aiti-13951	351	26	license	license	NOUN
aiti-13951	351	27	(	(	PUNCT
aiti-13951	351	28	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-13951	351	29	)	)	PUNCT
aiti-13951	351	30	.	.	PUNCT