id	sid	tid	token	lemma	pos
fcis-31663	1	1	frontiers	frontier	NOUN
fcis-31663	1	2	in	in	ADP
fcis-31663	1	3	computing	computing	NOUN
fcis-31663	1	4	and	and	CCONJ
fcis-31663	1	5	intelligent	intelligent	ADJ
fcis-31663	1	6	systems	system	NOUN
fcis-31663	1	7	issn	issn	VERB
fcis-31663	1	8	:	:	PUNCT
fcis-31663	1	9	2832	2832	NUM
fcis-31663	1	10	-	-	SYM
fcis-31663	1	11	6024	6024	NUM
fcis-31663	1	12	|	|	NOUN
fcis-31663	1	13	vol	vol	NOUN
fcis-31663	1	14	.	.	PROPN
fcis-31663	2	1	13	13	NUM
fcis-31663	2	2	,	,	PUNCT
fcis-31663	2	3	no	no	INTJ
fcis-31663	2	4	.	.	NOUN
fcis-31663	2	5	2	2	NUM
fcis-31663	2	6	,	,	PUNCT
fcis-31663	2	7	2025	2025	NUM
fcis-31663	2	8	98	98	NUM
fcis-31663	2	9	research	research	NOUN
fcis-31663	2	10	on	on	ADP
fcis-31663	2	11	non‐destructive	non‐destructive	ADJ
fcis-31663	2	12	detection	detection	NOUN
fcis-31663	2	13	of	of	ADP
fcis-31663	2	14	kiwi	kiwi	NOUN
fcis-31663	2	15	fruit	fruit	NOUN
fcis-31663	2	16	internal	internal	ADJ
fcis-31663	2	17	quality	quality	NOUN
fcis-31663	2	18	based	base	VERB
fcis-31663	2	19	on	on	ADP
fcis-31663	2	20	deep	deep	ADJ
fcis-31663	2	21	learning	learning	NOUN
fcis-31663	2	22	yanan	yanan	PROPN
fcis-31663	2	23	xue	xue	PROPN
fcis-31663	3	1	*	*	PROPN
fcis-31663	3	2	,	,	PUNCT
fcis-31663	3	3	zhipeng	zhipeng	PROPN
fcis-31663	3	4	li	li	PROPN
fcis-31663	3	5	school	school	PROPN
fcis-31663	3	6	of	of	ADP
fcis-31663	3	7	electronic	electronic	ADJ
fcis-31663	3	8	information	information	NOUN
fcis-31663	3	9	,	,	PUNCT
fcis-31663	3	10	xijing	xijing	PROPN
fcis-31663	3	11	university	university	PROPN
fcis-31663	3	12	,	,	PUNCT
fcis-31663	3	13	xi	xi	ADP
fcis-31663	3	14	'	'	PUNCT
fcis-31663	3	15	an	an	INTJ
fcis-31663	3	16	,	,	PUNCT
fcis-31663	3	17	shaanxi	shaanxi	PROPN
fcis-31663	3	18	,	,	PUNCT
fcis-31663	3	19	china	china	PROPN
fcis-31663	3	20	*	*	PUNCT
fcis-31663	3	21	corresponding	correspond	VERB
fcis-31663	3	22	author	author	NOUN
fcis-31663	3	23	:	:	PUNCT
fcis-31663	3	24	yanan	yanan	PROPN
fcis-31663	3	25	xue	xue	PROPN
fcis-31663	3	26	abstract	abstract	PROPN
fcis-31663	3	27	:	:	PUNCT
fcis-31663	3	28	in	in	ADP
fcis-31663	3	29	recent	recent	ADJ
fcis-31663	3	30	years	year	NOUN
fcis-31663	3	31	,	,	PUNCT
fcis-31663	3	32	as	as	SCONJ
fcis-31663	3	33	people	people	NOUN
fcis-31663	3	34	's	's	PART
fcis-31663	3	35	awareness	awareness	NOUN
fcis-31663	3	36	of	of	ADP
fcis-31663	3	37	dietary	dietary	ADJ
fcis-31663	3	38	health	health	NOUN
fcis-31663	3	39	has	have	AUX
fcis-31663	3	40	continuously	continuously	ADV
fcis-31663	3	41	increased	increase	VERB
fcis-31663	3	42	,	,	PUNCT
fcis-31663	3	43	the	the	DET
fcis-31663	3	44	nutritional	nutritional	ADJ
fcis-31663	3	45	value	value	NOUN
fcis-31663	3	46	and	and	CCONJ
fcis-31663	3	47	intrinsic	intrinsic	ADJ
fcis-31663	3	48	quality	quality	NOUN
fcis-31663	3	49	of	of	ADP
fcis-31663	3	50	fruits	fruit	NOUN
fcis-31663	3	51	have	have	AUX
fcis-31663	3	52	gradually	gradually	ADV
fcis-31663	3	53	become	become	VERB
fcis-31663	3	54	the	the	DET
fcis-31663	3	55	focus	focus	NOUN
fcis-31663	3	56	of	of	ADP
fcis-31663	3	57	consumers	consumer	NOUN
fcis-31663	3	58	'	'	PART
fcis-31663	3	59	attention	attention	NOUN
fcis-31663	3	60	.	.	PUNCT
fcis-31663	4	1	however	however	ADV
fcis-31663	4	2	,	,	PUNCT
fcis-31663	4	3	in	in	ADP
fcis-31663	4	4	china	china	PROPN
fcis-31663	4	5	,	,	PUNCT
fcis-31663	4	6	the	the	DET
fcis-31663	4	7	classification	classification	NOUN
fcis-31663	4	8	of	of	ADP
fcis-31663	4	9	fresh	fresh	ADJ
fcis-31663	4	10	fruits	fruit	NOUN
fcis-31663	4	11	still	still	ADV
fcis-31663	4	12	relies	rely	VERB
fcis-31663	4	13	on	on	ADP
fcis-31663	4	14	empirical	empirical	ADJ
fcis-31663	4	15	methods	method	NOUN
fcis-31663	4	16	such	such	ADJ
fcis-31663	4	17	as	as	ADP
fcis-31663	4	18	manual	manual	ADJ
fcis-31663	4	19	observation	observation	NOUN
fcis-31663	4	20	,	,	PUNCT
fcis-31663	4	21	lacking	lack	VERB
fcis-31663	4	22	unified	unified	ADJ
fcis-31663	4	23	and	and	CCONJ
fcis-31663	4	24	scientific	scientific	ADJ
fcis-31663	4	25	standards	standard	NOUN
fcis-31663	4	26	,	,	PUNCT
fcis-31663	4	27	resulting	result	VERB
fcis-31663	4	28	in	in	ADP
fcis-31663	4	29	uneven	uneven	ADJ
fcis-31663	4	30	fruit	fruit	NOUN
fcis-31663	4	31	quality	quality	NOUN
fcis-31663	4	32	in	in	ADP
fcis-31663	4	33	the	the	DET
fcis-31663	4	34	market	market	NOUN
fcis-31663	4	35	.	.	PUNCT
fcis-31663	5	1	to	to	PART
fcis-31663	5	2	improve	improve	VERB
fcis-31663	5	3	the	the	DET
fcis-31663	5	4	accuracy	accuracy	NOUN
fcis-31663	5	5	and	and	CCONJ
fcis-31663	5	6	efficiency	efficiency	NOUN
fcis-31663	5	7	of	of	ADP
fcis-31663	5	8	fruit	fruit	NOUN
fcis-31663	5	9	quality	quality	NOUN
fcis-31663	5	10	classification	classification	NOUN
fcis-31663	5	11	,	,	PUNCT
fcis-31663	5	12	this	this	DET
fcis-31663	5	13	paper	paper	NOUN
fcis-31663	5	14	takes	take	VERB
fcis-31663	5	15	kiwifruit	kiwifruit	NOUN
fcis-31663	5	16	as	as	ADP
fcis-31663	5	17	the	the	DET
fcis-31663	5	18	research	research	NOUN
fcis-31663	5	19	object	object	NOUN
fcis-31663	5	20	and	and	CCONJ
fcis-31663	5	21	proposes	propose	VERB
fcis-31663	5	22	a	a	DET
fcis-31663	5	23	non	non	ADJ
fcis-31663	5	24	-	-	ADJ
fcis-31663	5	25	destructive	destructive	ADJ
fcis-31663	5	26	detection	detection	NOUN
fcis-31663	5	27	technology	technology	NOUN
fcis-31663	5	28	that	that	PRON
fcis-31663	5	29	integrates	integrate	VERB
fcis-31663	5	30	near	near	ADV
fcis-31663	5	31	-	-	PUNCT
fcis-31663	5	32	infrared	infrared	ADJ
fcis-31663	5	33	spectroscopy	spectroscopy	NOUN
fcis-31663	5	34	technology	technology	NOUN
fcis-31663	5	35	and	and	CCONJ
fcis-31663	5	36	deep	deep	ADJ
fcis-31663	5	37	learning	learning	NOUN
fcis-31663	5	38	models	model	NOUN
fcis-31663	5	39	to	to	PART
fcis-31663	5	40	achieve	achieve	VERB
fcis-31663	5	41	kiwifruit	kiwifruit	NOUN
fcis-31663	5	42	quality	quality	NOUN
fcis-31663	5	43	classification	classification	NOUN
fcis-31663	5	44	based	base	VERB
fcis-31663	5	45	on	on	ADP
fcis-31663	5	46	soluble	soluble	ADJ
fcis-31663	5	47	solid	solid	ADJ
fcis-31663	5	48	content	content	NOUN
fcis-31663	5	49	(	(	PUNCT
fcis-31663	5	50	ssc	ssc	NOUN
fcis-31663	5	51	)	)	PUNCT
fcis-31663	5	52	.	.	PUNCT
fcis-31663	6	1	this	this	DET
fcis-31663	6	2	study	study	NOUN
fcis-31663	6	3	first	first	ADV
fcis-31663	6	4	collected	collect	VERB
fcis-31663	6	5	full	full	ADJ
fcis-31663	6	6	-	-	PUNCT
fcis-31663	6	7	band	band	NOUN
fcis-31663	6	8	spectral	spectral	ADJ
fcis-31663	6	9	data	datum	NOUN
fcis-31663	6	10	of	of	ADP
fcis-31663	6	11	kiwifruit	kiwifruit	NOUN
fcis-31663	6	12	samples	sample	NOUN
fcis-31663	6	13	using	use	VERB
fcis-31663	6	14	a	a	DET
fcis-31663	6	15	near	near	ADV
fcis-31663	6	16	-	-	PUNCT
fcis-31663	6	17	infrared	infrared	ADJ
fcis-31663	6	18	spectrometer	spectrometer	NOUN
fcis-31663	6	19	and	and	CCONJ
fcis-31663	6	20	combined	combine	VERB
fcis-31663	6	21	the	the	DET
fcis-31663	6	22	physicochemical	physicochemical	ADJ
fcis-31663	6	23	values	value	NOUN
fcis-31663	6	24	of	of	ADP
fcis-31663	6	25	ssc	ssc	NOUN
fcis-31663	6	26	measured	measure	VERB
fcis-31663	6	27	by	by	ADP
fcis-31663	6	28	a	a	DET
fcis-31663	6	29	refractometer	refractometer	NOUN
fcis-31663	6	30	to	to	PART
fcis-31663	6	31	establish	establish	VERB
fcis-31663	6	32	a	a	DET
fcis-31663	6	33	complete	complete	ADJ
fcis-31663	6	34	dataset	dataset	NOUN
fcis-31663	6	35	containing	contain	VERB
fcis-31663	6	36	spectral	spectral	ADJ
fcis-31663	6	37	and	and	CCONJ
fcis-31663	6	38	quality	quality	NOUN
fcis-31663	6	39	labels	label	NOUN
fcis-31663	6	40	.	.	PUNCT
fcis-31663	7	1	in	in	ADP
fcis-31663	7	2	the	the	DET
fcis-31663	7	3	data	data	NOUN
fcis-31663	7	4	preprocessing	preprocessing	NOUN
fcis-31663	7	5	stage	stage	NOUN
fcis-31663	7	6	,	,	PUNCT
fcis-31663	7	7	three	three	NUM
fcis-31663	7	8	common	common	ADJ
fcis-31663	7	9	algorithms	algorithm	NOUN
fcis-31663	7	10	,	,	PUNCT
fcis-31663	7	11	msc	msc	PROPN
fcis-31663	7	12	,	,	PUNCT
fcis-31663	7	13	sg	sg	PROPN
fcis-31663	7	14	,	,	PUNCT
fcis-31663	7	15	and	and	CCONJ
fcis-31663	7	16	ct	ct	PROPN
fcis-31663	7	17	,	,	PUNCT
fcis-31663	7	18	were	be	AUX
fcis-31663	7	19	tried	try	VERB
fcis-31663	7	20	,	,	PUNCT
fcis-31663	7	21	and	and	CCONJ
fcis-31663	7	22	their	their	PRON
fcis-31663	7	23	effects	effect	NOUN
fcis-31663	7	24	in	in	ADP
fcis-31663	7	25	noise	noise	NOUN
fcis-31663	7	26	reduction	reduction	NOUN
fcis-31663	7	27	and	and	CCONJ
fcis-31663	7	28	smoothing	smoothing	NOUN
fcis-31663	7	29	were	be	AUX
fcis-31663	7	30	compared	compare	VERB
fcis-31663	7	31	.	.	PUNCT
fcis-31663	8	1	the	the	DET
fcis-31663	8	2	experiment	experiment	NOUN
fcis-31663	8	3	found	find	VERB
fcis-31663	8	4	that	that	SCONJ
fcis-31663	8	5	the	the	DET
fcis-31663	8	6	sg	sg	ADP
fcis-31663	8	7	preprocessing	preprocessing	NOUN
fcis-31663	8	8	method	method	NOUN
fcis-31663	8	9	could	could	AUX
fcis-31663	8	10	most	most	ADV
fcis-31663	8	11	effectively	effectively	ADV
fcis-31663	8	12	improve	improve	VERB
fcis-31663	8	13	the	the	DET
fcis-31663	8	14	overall	overall	ADJ
fcis-31663	8	15	performance	performance	NOUN
fcis-31663	8	16	of	of	ADP
fcis-31663	8	17	the	the	DET
fcis-31663	8	18	model	model	NOUN
fcis-31663	8	19	.	.	PUNCT
fcis-31663	9	1	subsequently	subsequently	ADV
fcis-31663	9	2	,	,	PUNCT
fcis-31663	9	3	this	this	DET
fcis-31663	9	4	paper	paper	NOUN
fcis-31663	9	5	built	build	VERB
fcis-31663	9	6	a	a	DET
fcis-31663	9	7	deep	deep	ADJ
fcis-31663	9	8	neural	neural	ADJ
fcis-31663	9	9	network	network	NOUN
fcis-31663	9	10	model	model	NOUN
fcis-31663	9	11	based	base	VERB
fcis-31663	9	12	on	on	ADP
fcis-31663	9	13	the	the	DET
fcis-31663	9	14	lstm	lstm	PROPN
fcis-31663	9	15	model	model	NOUN
fcis-31663	9	16	,	,	PUNCT
fcis-31663	9	17	combining	combine	VERB
fcis-31663	9	18	bilstm	bilstm	NOUN
fcis-31663	9	19	(	(	PUNCT
fcis-31663	9	20	bidirectional	bidirectional	ADJ
fcis-31663	9	21	long	long	ADJ
fcis-31663	9	22	short	short	ADJ
fcis-31663	9	23	-	-	PUNCT
fcis-31663	9	24	term	term	NOUN
fcis-31663	9	25	memory	memory	NOUN
fcis-31663	9	26	network	network	NOUN
fcis-31663	9	27	)	)	PUNCT
fcis-31663	9	28	and	and	CCONJ
fcis-31663	9	29	mha	mha	PROPN
fcis-31663	9	30	(	(	PUNCT
fcis-31663	9	31	multi	multi	ADJ
fcis-31663	9	32	-	-	ADJ
fcis-31663	9	33	head	head	ADJ
fcis-31663	9	34	attention	attention	NOUN
fcis-31663	9	35	mechanism	mechanism	NOUN
fcis-31663	9	36	)	)	PUNCT
fcis-31663	9	37	,	,	PUNCT
fcis-31663	9	38	to	to	PART
fcis-31663	9	39	better	well	ADV
fcis-31663	9	40	capture	capture	VERB
fcis-31663	9	41	the	the	DET
fcis-31663	9	42	temporal	temporal	ADJ
fcis-31663	9	43	features	feature	NOUN
fcis-31663	9	44	and	and	CCONJ
fcis-31663	9	45	key	key	ADJ
fcis-31663	9	46	band	band	NOUN
fcis-31663	9	47	information	information	NOUN
fcis-31663	9	48	in	in	ADP
fcis-31663	9	49	the	the	DET
fcis-31663	9	50	spectral	spectral	ADJ
fcis-31663	9	51	sequence	sequence	NOUN
fcis-31663	9	52	.	.	PUNCT
fcis-31663	10	1	the	the	DET
fcis-31663	10	2	final	final	ADJ
fcis-31663	10	3	results	result	NOUN
fcis-31663	10	4	show	show	VERB
fcis-31663	10	5	that	that	SCONJ
fcis-31663	10	6	the	the	DET
fcis-31663	10	7	combination	combination	NOUN
fcis-31663	10	8	of	of	ADP
fcis-31663	10	9	snv	snv	NOUN
fcis-31663	10	10	+	+	CCONJ
fcis-31663	10	11	bilstm	bilstm	NOUN
fcis-31663	10	12	+	+	CCONJ
fcis-31663	10	13	mha	mha	NOUN
fcis-31663	10	14	performs	perform	VERB
fcis-31663	10	15	excellently	excellently	ADV
fcis-31663	10	16	in	in	ADP
fcis-31663	10	17	the	the	DET
fcis-31663	10	18	classification	classification	NOUN
fcis-31663	10	19	detection	detection	NOUN
fcis-31663	10	20	of	of	ADP
fcis-31663	10	21	apple	apple	PROPN
fcis-31663	10	22	ssc	ssc	PROPN
fcis-31663	10	23	content	content	NOUN
fcis-31663	10	24	,	,	PUNCT
fcis-31663	10	25	with	with	ADP
fcis-31663	10	26	an	an	DET
fcis-31663	10	27	accuracy	accuracy	NOUN
fcis-31663	10	28	rate	rate	NOUN
fcis-31663	10	29	of	of	ADP
fcis-31663	10	30	0.9574	0.9574	NUM
fcis-31663	10	31	,	,	PUNCT
fcis-31663	10	32	a	a	DET
fcis-31663	10	33	precision	precision	NOUN
fcis-31663	10	34	rate	rate	NOUN
fcis-31663	10	35	of	of	ADP
fcis-31663	10	36	0.9575	0.9575	NUM
fcis-31663	10	37	,	,	PUNCT
fcis-31663	10	38	a	a	DET
fcis-31663	10	39	recall	recall	NOUN
fcis-31663	10	40	rate	rate	NOUN
fcis-31663	10	41	of	of	ADP
fcis-31663	10	42	0.9601	0.9601	NUM
fcis-31663	10	43	,	,	PUNCT
fcis-31663	10	44	and	and	CCONJ
fcis-31663	10	45	an	an	DET
fcis-31663	10	46	f1	f1	ADJ
fcis-31663	10	47	score	score	NOUN
fcis-31663	10	48	of	of	ADP
fcis-31663	10	49	0.9586	0.9586	NUM
fcis-31663	10	50	,	,	PUNCT
fcis-31663	10	51	fully	fully	ADV
fcis-31663	10	52	verifying	verify	VERB
fcis-31663	10	53	the	the	DET
fcis-31663	10	54	effectiveness	effectiveness	NOUN
fcis-31663	10	55	and	and	CCONJ
fcis-31663	10	56	application	application	NOUN
fcis-31663	10	57	potential	potential	NOUN
fcis-31663	10	58	of	of	ADP
fcis-31663	10	59	this	this	DET
fcis-31663	10	60	method	method	NOUN
fcis-31663	10	61	in	in	ADP
fcis-31663	10	62	the	the	DET
fcis-31663	10	63	non	non	ADJ
fcis-31663	10	64	-	-	ADJ
fcis-31663	10	65	destructive	destructive	ADJ
fcis-31663	10	66	detection	detection	NOUN
fcis-31663	10	67	of	of	ADP
fcis-31663	10	68	kiwifruit	kiwifruit	NOUN
fcis-31663	10	69	quality	quality	NOUN
fcis-31663	10	70	.	.	PUNCT
fcis-31663	11	1	keywords	keyword	NOUN
fcis-31663	11	2	:	:	PUNCT
fcis-31663	11	3	near	near	ADV
fcis-31663	11	4	-	-	PUNCT
fcis-31663	11	5	infrared	infrared	ADJ
fcis-31663	11	6	spectroscopy	spectroscopy	NOUN
fcis-31663	11	7	;	;	PUNCT
fcis-31663	11	8	kiwifruit	kiwifruit	NOUN
fcis-31663	11	9	;	;	PUNCT
fcis-31663	11	10	quality	quality	NOUN
fcis-31663	11	11	grading	grading	NOUN
fcis-31663	11	12	;	;	PUNCT
fcis-31663	11	13	lstm	lstm	ADJ
fcis-31663	11	14	.	.	PUNCT
fcis-31663	12	1	1	1	X
fcis-31663	12	2	.	.	X
fcis-31663	12	3	introduction	introduction	NOUN
fcis-31663	12	4	kiwi	kiwi	NOUN
fcis-31663	12	5	fruit	fruit	NOUN
fcis-31663	12	6	,	,	PUNCT
fcis-31663	12	7	as	as	ADP
fcis-31663	12	8	a	a	DET
fcis-31663	12	9	nutritious	nutritious	ADJ
fcis-31663	12	10	and	and	CCONJ
fcis-31663	12	11	distinctive	distinctive	ADJ
fcis-31663	12	12	fruit	fruit	NOUN
fcis-31663	12	13	,	,	PUNCT
fcis-31663	12	14	is	be	AUX
fcis-31663	12	15	highly	highly	ADV
fcis-31663	12	16	favored	favor	VERB
fcis-31663	12	17	by	by	ADP
fcis-31663	12	18	consumers	consumer	NOUN
fcis-31663	12	19	.	.	PUNCT
fcis-31663	13	1	its	its	PRON
fcis-31663	13	2	quality	quality	NOUN
fcis-31663	13	3	directly	directly	ADV
fcis-31663	13	4	affects	affect	VERB
fcis-31663	13	5	consumers	consumer	NOUN
fcis-31663	13	6	'	'	PART
fcis-31663	13	7	purchasing	purchasing	NOUN
fcis-31663	13	8	intention	intention	NOUN
fcis-31663	13	9	and	and	CCONJ
fcis-31663	13	10	market	market	NOUN
fcis-31663	13	11	value	value	NOUN
fcis-31663	13	12	.	.	PUNCT
fcis-31663	14	1	traditional	traditional	ADJ
fcis-31663	14	2	methods	method	NOUN
fcis-31663	14	3	for	for	ADP
fcis-31663	14	4	quality	quality	NOUN
fcis-31663	14	5	inspection	inspection	NOUN
fcis-31663	14	6	of	of	ADP
fcis-31663	14	7	kiwi	kiwi	NOUN
fcis-31663	14	8	fruit	fruit	NOUN
fcis-31663	14	9	mainly	mainly	ADV
fcis-31663	14	10	rely	rely	VERB
fcis-31663	14	11	on	on	ADP
fcis-31663	14	12	manual	manual	ADJ
fcis-31663	14	13	sensory	sensory	ADJ
fcis-31663	14	14	evaluation	evaluation	NOUN
fcis-31663	14	15	and	and	CCONJ
fcis-31663	14	16	physicochemical	physicochemical	ADJ
fcis-31663	14	17	index	index	NOUN
fcis-31663	14	18	analysis	analysis	NOUN
fcis-31663	14	19	,	,	PUNCT
fcis-31663	14	20	which	which	PRON
fcis-31663	14	21	have	have	VERB
fcis-31663	14	22	problems	problem	NOUN
fcis-31663	14	23	such	such	ADJ
fcis-31663	14	24	as	as	ADP
fcis-31663	14	25	strong	strong	ADJ
fcis-31663	14	26	subjectivity	subjectivity	NOUN
fcis-31663	14	27	,	,	PUNCT
fcis-31663	14	28	low	low	ADJ
fcis-31663	14	29	efficiency	efficiency	NOUN
fcis-31663	14	30	,	,	PUNCT
fcis-31663	14	31	and	and	CCONJ
fcis-31663	14	32	sample	sample	NOUN
fcis-31663	14	33	damage	damage	NOUN
fcis-31663	14	34	,	,	PUNCT
fcis-31663	14	35	and	and	CCONJ
fcis-31663	14	36	thus	thus	ADV
fcis-31663	14	37	are	be	AUX
fcis-31663	14	38	unable	unable	ADJ
fcis-31663	14	39	to	to	PART
fcis-31663	14	40	meet	meet	VERB
fcis-31663	14	41	the	the	DET
fcis-31663	14	42	requirements	requirement	NOUN
fcis-31663	14	43	of	of	ADP
fcis-31663	14	44	modern	modern	ADJ
fcis-31663	14	45	fruit	fruit	NOUN
fcis-31663	14	46	industry	industry	NOUN
fcis-31663	14	47	for	for	ADP
fcis-31663	14	48	rapid	rapid	ADJ
fcis-31663	14	49	,	,	PUNCT
fcis-31663	14	50	nondestructive	nondestructive	ADJ
fcis-31663	14	51	,	,	PUNCT
fcis-31663	14	52	and	and	CCONJ
fcis-31663	14	53	online	online	ADJ
fcis-31663	14	54	detection	detection	NOUN
fcis-31663	14	55	.	.	PUNCT
fcis-31663	15	1	near	near	ADP
fcis-31663	15	2	-	-	PUNCT
fcis-31663	15	3	infrared	infrared	ADJ
fcis-31663	15	4	spectroscopy	spectroscopy	NOUN
fcis-31663	15	5	(	(	PUNCT
fcis-31663	15	6	nir	nir	NOUN
fcis-31663	15	7	)	)	PUNCT
fcis-31663	15	8	technology	technology	NOUN
fcis-31663	15	9	,	,	PUNCT
fcis-31663	15	10	as	as	ADP
fcis-31663	15	11	a	a	DET
fcis-31663	15	12	rapid	rapid	ADJ
fcis-31663	15	13	,	,	PUNCT
fcis-31663	15	14	efficient	efficient	ADJ
fcis-31663	15	15	,	,	PUNCT
fcis-31663	15	16	and	and	CCONJ
fcis-31663	15	17	environmentally	environmentally	ADV
fcis-31663	15	18	friendly	friendly	ADJ
fcis-31663	15	19	non	non	ADJ
fcis-31663	15	20	-	-	ADJ
fcis-31663	15	21	destructive	destructive	ADJ
fcis-31663	15	22	detection	detection	NOUN
fcis-31663	15	23	method	method	NOUN
fcis-31663	15	24	,	,	PUNCT
fcis-31663	15	25	has	have	AUX
fcis-31663	15	26	shown	show	VERB
fcis-31663	15	27	great	great	ADJ
fcis-31663	15	28	application	application	NOUN
fcis-31663	15	29	potential	potential	NOUN
fcis-31663	15	30	in	in	ADP
fcis-31663	15	31	the	the	DET
fcis-31663	15	32	field	field	NOUN
fcis-31663	15	33	of	of	ADP
fcis-31663	15	34	fruit	fruit	NOUN
fcis-31663	15	35	quality	quality	NOUN
fcis-31663	15	36	inspection	inspection	NOUN
fcis-31663	15	37	in	in	ADP
fcis-31663	15	38	recent	recent	ADJ
fcis-31663	15	39	years	year	NOUN
fcis-31663	15	40	.	.	PUNCT
fcis-31663	16	1	this	this	DET
fcis-31663	16	2	technology	technology	NOUN
fcis-31663	16	3	utilizes	utilize	VERB
fcis-31663	16	4	the	the	DET
fcis-31663	16	5	multiphase	multiphase	NOUN
fcis-31663	16	6	and	and	CCONJ
fcis-31663	16	7	harmonics	harmonic	NOUN
fcis-31663	16	8	absorption	absorption	NOUN
fcis-31663	16	9	characteristics	characteristic	NOUN
fcis-31663	16	10	of	of	ADP
fcis-31663	16	11	hydrogen	hydrogen	NOUN
fcis-31663	16	12	-	-	PUNCT
fcis-31663	16	13	containing	contain	VERB
fcis-31663	16	14	groups	group	NOUN
fcis-31663	16	15	such	such	ADJ
fcis-31663	16	16	as	as	ADP
fcis-31663	16	17	c	c	NOUN
fcis-31663	16	18	-	-	PUNCT
fcis-31663	16	19	h	h	NOUN
fcis-31663	16	20	,	,	PUNCT
fcis-31663	16	21	o	o	NOUN
fcis-31663	16	22	-	-	NOUN
fcis-31663	16	23	h	h	NOUN
fcis-31663	16	24	,	,	PUNCT
fcis-31663	16	25	and	and	CCONJ
fcis-31663	16	26	n	n	CCONJ
fcis-31663	16	27	-	-	PUNCT
fcis-31663	16	28	h	h	NOUN
fcis-31663	16	29	in	in	ADP
fcis-31663	16	30	organic	organic	ADJ
fcis-31663	16	31	substances	substance	NOUN
fcis-31663	16	32	in	in	ADP
fcis-31663	16	33	the	the	DET
fcis-31663	16	34	near	near	ADV
fcis-31663	16	35	-	-	PUNCT
fcis-31663	16	36	infrared	infrared	ADJ
fcis-31663	16	37	[	[	X
fcis-31663	16	38	4	4	NUM
fcis-31663	16	39	]	]	ADJ
fcis-31663	16	40	region	region	NOUN
fcis-31663	16	41	to	to	PART
fcis-31663	16	42	quickly	quickly	ADV
fcis-31663	16	43	obtain	obtain	VERB
fcis-31663	16	44	information	information	NOUN
fcis-31663	16	45	about	about	ADP
fcis-31663	16	46	the	the	DET
fcis-31663	16	47	composition	composition	NOUN
fcis-31663	16	48	and	and	CCONJ
fcis-31663	16	49	structure	structure	NOUN
fcis-31663	16	50	of	of	ADP
fcis-31663	16	51	samples	sample	NOUN
fcis-31663	16	52	,	,	PUNCT
fcis-31663	16	53	enabling	enable	VERB
fcis-31663	16	54	non	non	ADJ
fcis-31663	16	55	-	-	ADJ
fcis-31663	16	56	destructive	destructive	ADJ
fcis-31663	16	57	detection	detection	NOUN
fcis-31663	16	58	of	of	ADP
fcis-31663	16	59	the	the	DET
fcis-31663	16	60	internal	internal	ADJ
fcis-31663	16	61	quality	quality	NOUN
fcis-31663	16	62	of	of	ADP
fcis-31663	16	63	fruits	fruit	NOUN
fcis-31663	16	64	.	.	PUNCT
fcis-31663	17	1	in	in	ADP
fcis-31663	17	2	recent	recent	ADJ
fcis-31663	17	3	years	year	NOUN
fcis-31663	17	4	,	,	PUNCT
fcis-31663	17	5	scholars	scholar	NOUN
fcis-31663	17	6	at	at	ADP
fcis-31663	17	7	home	home	ADV
fcis-31663	17	8	and	and	CCONJ
fcis-31663	17	9	abroad	abroad	ADV
fcis-31663	17	10	have	have	AUX
fcis-31663	17	11	applied	apply	VERB
fcis-31663	17	12	nir	nir	ADJ
fcis-31663	17	13	technology	technology	NOUN
fcis-31663	17	14	to	to	ADP
fcis-31663	17	15	the	the	DET
fcis-31663	17	16	detection	detection	NOUN
fcis-31663	17	17	of	of	ADP
fcis-31663	17	18	quality	quality	NOUN
fcis-31663	17	19	indicators	indicator	NOUN
fcis-31663	17	20	such	such	ADJ
fcis-31663	17	21	as	as	ADP
fcis-31663	17	22	soluble	soluble	ADJ
fcis-31663	17	23	solids	solid	NOUN
fcis-31663	17	24	content	content	NOUN
fcis-31663	17	25	(	(	PUNCT
fcis-31663	17	26	ssc	ssc	PROPN
fcis-31663	17	27	)	)	PUNCT
fcis-31663	17	28	,	,	PUNCT
fcis-31663	17	29	hardness	hardness	NOUN
fcis-31663	17	30	,	,	PUNCT
fcis-31663	17	31	and	and	CCONJ
fcis-31663	17	32	dry	dry	ADJ
fcis-31663	17	33	matter	matter	NOUN
fcis-31663	17	34	content	content	NOUN
fcis-31663	17	35	,	,	PUNCT
fcis-31663	17	36	and	and	CCONJ
fcis-31663	17	37	have	have	AUX
fcis-31663	17	38	achieved	achieve	VERB
fcis-31663	17	39	certain	certain	ADJ
fcis-31663	17	40	research	research	NOUN
fcis-31663	17	41	results	result	NOUN
fcis-31663	17	42	.	.	PUNCT
fcis-31663	18	1	zhang	zhang	PROPN
fcis-31663	18	2	fu	fu	PROPN
fcis-31663	18	3	et	et	PROPN
fcis-31663	18	4	al	al	PROPN
fcis-31663	18	5	.	.	PUNCT
fcis-31663	19	1	[	[	X
fcis-31663	19	2	1	1	X
fcis-31663	19	3	]	]	PUNCT
fcis-31663	19	4	used	use	VERB
fcis-31663	19	5	visible	visible	ADJ
fcis-31663	19	6	/	/	SYM
fcis-31663	19	7	near	near	ADV
fcis-31663	19	8	-	-	PUNCT
fcis-31663	19	9	infrared	infrared	ADJ
fcis-31663	19	10	technology	technology	NOUN
fcis-31663	19	11	to	to	PART
fcis-31663	19	12	conduct	conduct	VERB
fcis-31663	19	13	nondestructive	nondestructive	ADJ
fcis-31663	19	14	detection	detection	NOUN
fcis-31663	19	15	of	of	ADP
fcis-31663	19	16	soluble	soluble	ADJ
fcis-31663	19	17	solids	solid	NOUN
fcis-31663	19	18	content	content	NOUN
fcis-31663	19	19	(	(	PUNCT
fcis-31663	19	20	ssc	ssc	NOUN
fcis-31663	19	21	)	)	PUNCT
fcis-31663	19	22	in	in	ADP
fcis-31663	19	23	tomatoes	tomato	NOUN
fcis-31663	19	24	and	and	CCONJ
fcis-31663	19	25	improved	improve	VERB
fcis-31663	19	26	the	the	DET
fcis-31663	19	27	bp	bp	PROPN
fcis-31663	19	28	neural	neural	PROPN
fcis-31663	19	29	network	network	NOUN
fcis-31663	19	30	model	model	NOUN
fcis-31663	19	31	to	to	PART
fcis-31663	19	32	provide	provide	VERB
fcis-31663	19	33	an	an	DET
fcis-31663	19	34	effective	effective	ADJ
fcis-31663	19	35	solution	solution	NOUN
fcis-31663	19	36	for	for	ADP
fcis-31663	19	37	the	the	DET
fcis-31663	19	38	rapid	rapid	ADJ
fcis-31663	19	39	assessment	assessment	NOUN
fcis-31663	19	40	of	of	ADP
fcis-31663	19	41	the	the	DET
fcis-31663	19	42	internal	internal	ADJ
fcis-31663	19	43	quality	quality	NOUN
fcis-31663	19	44	of	of	ADP
fcis-31663	19	45	tomatoes	tomato	NOUN
fcis-31663	19	46	.	.	PUNCT
fcis-31663	20	1	zhou	zhou	PROPN
fcis-31663	20	2	danrong	danrong	PROPN
fcis-31663	20	3	et	et	PROPN
fcis-31663	20	4	al	al	PROPN
fcis-31663	20	5	.	.	PUNCT
fcis-31663	21	1	[	[	X
fcis-31663	21	2	2	2	X
fcis-31663	21	3	]	]	PUNCT
fcis-31663	21	4	used	use	VERB
fcis-31663	21	5	visible	visible	ADJ
fcis-31663	21	6	/	/	SYM
fcis-31663	21	7	near	near	ADV
fcis-31663	21	8	-	-	PUNCT
fcis-31663	21	9	infrared	infrared	ADJ
fcis-31663	21	10	technology	technology	NOUN
fcis-31663	21	11	to	to	PART
fcis-31663	21	12	conduct	conduct	VERB
fcis-31663	21	13	a	a	DET
fcis-31663	21	14	study	study	NOUN
fcis-31663	21	15	on	on	ADP
fcis-31663	21	16	the	the	DET
fcis-31663	21	17	nutritional	nutritional	ADJ
fcis-31663	21	18	quality	quality	NOUN
fcis-31663	21	19	during	during	ADP
fcis-31663	21	20	the	the	DET
fcis-31663	21	21	ripening	ripen	VERB
fcis-31663	21	22	period	period	NOUN
fcis-31663	21	23	of	of	ADP
fcis-31663	21	24	hibiscus	hibiscus	NOUN
fcis-31663	21	25	fruit	fruit	NOUN
fcis-31663	21	26	,	,	PUNCT
fcis-31663	21	27	screened	screen	VERB
fcis-31663	21	28	out	out	ADP
fcis-31663	21	29	four	four	NUM
fcis-31663	21	30	core	core	NOUN
fcis-31663	21	31	indicators	indicator	NOUN
fcis-31663	21	32	such	such	ADJ
fcis-31663	21	33	as	as	ADP
fcis-31663	21	34	fructose	fructose	NOUN
fcis-31663	21	35	,	,	PUNCT
fcis-31663	21	36	glucose	glucose	NOUN
fcis-31663	21	37	,	,	PUNCT
fcis-31663	21	38	and	and	CCONJ
fcis-31663	21	39	two	two	NUM
fcis-31663	21	40	anthocyanin	anthocyanin	ADJ
fcis-31663	21	41	glycosides	glycoside	NOUN
fcis-31663	21	42	,	,	PUNCT
fcis-31663	21	43	and	and	CCONJ
fcis-31663	21	44	constructed	construct	VERB
fcis-31663	21	45	an	an	DET
fcis-31663	21	46	appearance	appearance	NOUN
fcis-31663	21	47	prediction	prediction	NOUN
fcis-31663	21	48	model	model	NOUN
fcis-31663	21	49	based	base	VERB
fcis-31663	21	50	on	on	ADP
fcis-31663	21	51	color	color	NOUN
fcis-31663	21	52	value	value	NOUN
fcis-31663	21	53	.	.	PUNCT
fcis-31663	22	1	the	the	DET
fcis-31663	22	2	results	result	NOUN
fcis-31663	22	3	showed	show	VERB
fcis-31663	22	4	that	that	SCONJ
fcis-31663	22	5	this	this	DET
fcis-31663	22	6	model	model	NOUN
fcis-31663	22	7	had	have	VERB
fcis-31663	22	8	high	high	ADJ
fcis-31663	22	9	prediction	prediction	NOUN
fcis-31663	22	10	accuracy	accuracy	NOUN
fcis-31663	22	11	and	and	CCONJ
fcis-31663	22	12	reliability	reliability	NOUN
fcis-31663	22	13	for	for	ADP
fcis-31663	22	14	quality	quality	NOUN
fcis-31663	22	15	indicators	indicator	NOUN
fcis-31663	22	16	,	,	PUNCT
fcis-31663	22	17	providing	provide	VERB
fcis-31663	22	18	a	a	DET
fcis-31663	22	19	convenient	convenient	ADJ
fcis-31663	22	20	method	method	NOUN
fcis-31663	22	21	for	for	ADP
fcis-31663	22	22	the	the	DET
fcis-31663	22	23	comprehensive	comprehensive	ADJ
fcis-31663	22	24	quality	quality	NOUN
fcis-31663	22	25	evaluation	evaluation	NOUN
fcis-31663	22	26	of	of	ADP
fcis-31663	22	27	hibiscus	hibiscus	NOUN
fcis-31663	22	28	fruit	fruit	NOUN
fcis-31663	22	29	.	.	PUNCT
fcis-31663	23	1	bi	bi	NOUN
fcis-31663	23	2	shuhui	shuhui	PROPN
fcis-31663	23	3	et	et	PROPN
fcis-31663	23	4	al	al	PROPN
fcis-31663	23	5	.	.	PUNCT
fcis-31663	24	1	[	[	X
fcis-31663	24	2	3	3	X
fcis-31663	24	3	]	]	PUNCT
fcis-31663	24	4	used	use	VERB
fcis-31663	24	5	genetic	genetic	ADJ
fcis-31663	24	6	algorithms	algorithm	NOUN
fcis-31663	24	7	to	to	PART
fcis-31663	24	8	extract	extract	VERB
fcis-31663	24	9	characteristic	characteristic	ADJ
fcis-31663	24	10	wavelengths	wavelength	NOUN
fcis-31663	24	11	and	and	CCONJ
fcis-31663	24	12	improved	improve	VERB
fcis-31663	24	13	the	the	DET
fcis-31663	24	14	evaluation	evaluation	NOUN
fcis-31663	24	15	performance	performance	NOUN
fcis-31663	24	16	of	of	ADP
fcis-31663	24	17	apple	apple	NOUN
fcis-31663	24	18	classification	classification	NOUN
fcis-31663	24	19	.	.	PUNCT
fcis-31663	25	1	foreign	foreign	ADJ
fcis-31663	25	2	scholars	scholar	NOUN
fcis-31663	25	3	mahayothee	mahayothee	VERB
fcis-31663	25	4	et	et	PROPN
fcis-31663	25	5	al	al	PROPN
fcis-31663	25	6	.	.	PUNCT
fcis-31663	26	1	[	[	X
fcis-31663	26	2	4	4	X
fcis-31663	26	3	]	]	PUNCT
fcis-31663	26	4	used	use	VERB
fcis-31663	26	5	a	a	DET
fcis-31663	26	6	new	new	ADJ
fcis-31663	26	7	frame	frame	NOUN
fcis-31663	26	8	camera	camera	NOUN
fcis-31663	26	9	combined	combine	VERB
fcis-31663	26	10	with	with	ADP
fcis-31663	26	11	hyperspectral	hyperspectral	ADJ
fcis-31663	26	12	imaging	imaging	NOUN
fcis-31663	26	13	technology	technology	NOUN
fcis-31663	26	14	(	(	PUNCT
fcis-31663	26	15	450	450	NUM
fcis-31663	26	16	-	-	SYM
fcis-31663	26	17	998	998	NUM
fcis-31663	26	18	nm	nm	NOUN
fcis-31663	26	19	)	)	PUNCT
fcis-31663	26	20	to	to	PART
fcis-31663	26	21	conduct	conduct	VERB
fcis-31663	26	22	non	non	ADJ
fcis-31663	26	23	-	-	ADJ
fcis-31663	26	24	destructive	destructive	ADJ
fcis-31663	26	25	detection	detection	NOUN
fcis-31663	26	26	of	of	ADP
fcis-31663	26	27	mango	mango	PROPN
fcis-31663	26	28	hardness	hardness	NOUN
fcis-31663	26	29	,	,	PUNCT
fcis-31663	26	30	total	total	ADJ
fcis-31663	26	31	soluble	soluble	ADJ
fcis-31663	26	32	solids	solid	NOUN
fcis-31663	26	33	(	(	PUNCT
fcis-31663	26	34	tss	tss	NOUN
fcis-31663	26	35	)	)	PUNCT
fcis-31663	26	36	,	,	PUNCT
fcis-31663	26	37	and	and	CCONJ
fcis-31663	26	38	titratable	titratable	ADJ
fcis-31663	26	39	acidity	acidity	NOUN
fcis-31663	26	40	(	(	PUNCT
fcis-31663	26	41	ta	ta	NOUN
fcis-31663	26	42	)	)	PUNCT
fcis-31663	26	43	,	,	PUNCT
fcis-31663	26	44	and	and	CCONJ
fcis-31663	26	45	established	establish	VERB
fcis-31663	26	46	a	a	DET
fcis-31663	26	47	prediction	prediction	NOUN
fcis-31663	26	48	model	model	NOUN
fcis-31663	26	49	through	through	ADP
fcis-31663	26	50	partial	partial	ADJ
fcis-31663	26	51	least	least	ADJ
fcis-31663	26	52	squares	square	NOUN
fcis-31663	26	53	regression	regression	NOUN
fcis-31663	26	54	(	(	PUNCT
fcis-31663	26	55	pls	pls	INTJ
fcis-31663	26	56	)	)	PUNCT
fcis-31663	26	57	.	.	PUNCT
fcis-31663	27	1	after	after	ADP
fcis-31663	27	2	optimization	optimization	NOUN
fcis-31663	27	3	through	through	ADP
fcis-31663	27	4	multiple	multiple	ADJ
fcis-31663	27	5	linear	linear	ADJ
fcis-31663	27	6	regression	regression	NOUN
fcis-31663	27	7	(	(	PUNCT
fcis-31663	27	8	mlr	mlr	NOUN
fcis-31663	27	9	)	)	PUNCT
fcis-31663	27	10	,	,	PUNCT
fcis-31663	27	11	it	it	PRON
fcis-31663	27	12	was	be	AUX
fcis-31663	27	13	found	find	VERB
fcis-31663	27	14	that	that	SCONJ
fcis-31663	27	15	the	the	DET
fcis-31663	27	16	high	high	ADJ
fcis-31663	27	17	-	-	PUNCT
fcis-31663	27	18	spectrum	spectrum	NOUN
fcis-31663	27	19	data	datum	NOUN
fcis-31663	27	20	could	could	AUX
fcis-31663	27	21	help	help	VERB
fcis-31663	27	22	consumers	consumer	NOUN
fcis-31663	27	23	buy	buy	VERB
fcis-31663	27	24	more	more	ADV
fcis-31663	27	25	favorable	favorable	ADJ
fcis-31663	27	26	and	and	CCONJ
fcis-31663	27	27	delicious	delicious	ADJ
fcis-31663	27	28	fruits	fruit	NOUN
fcis-31663	27	29	,	,	PUNCT
fcis-31663	27	30	further	far	ADV
fcis-31663	27	31	improving	improve	VERB
fcis-31663	27	32	domestic	domestic	ADJ
fcis-31663	27	33	fruit	fruit	NOUN
fcis-31663	27	34	trade	trade	NOUN
fcis-31663	27	35	.	.	PUNCT
fcis-31663	28	1	this	this	DET
fcis-31663	28	2	study	study	NOUN
fcis-31663	28	3	takes	take	VERB
fcis-31663	28	4	kiwi	kiwi	NOUN
fcis-31663	28	5	fruit	fruit	NOUN
fcis-31663	28	6	as	as	ADP
fcis-31663	28	7	an	an	DET
fcis-31663	28	8	example	example	NOUN
fcis-31663	28	9	,	,	PUNCT
fcis-31663	28	10	based	base	VERB
fcis-31663	28	11	on	on	ADP
fcis-31663	28	12	nearinfrared	nearinfrared	ADJ
fcis-31663	28	13	spectroscopy	spectroscopy	NOUN
fcis-31663	28	14	,	,	PUNCT
fcis-31663	28	15	using	use	VERB
fcis-31663	28	16	excellent	excellent	ADJ
fcis-31663	28	17	algorithm	algorithm	NOUN
fcis-31663	28	18	models	model	NOUN
fcis-31663	28	19	from	from	ADP
fcis-31663	28	20	machine	machine	NOUN
fcis-31663	28	21	learning	learning	NOUN
fcis-31663	28	22	and	and	CCONJ
fcis-31663	28	23	deep	deep	ADJ
fcis-31663	28	24	learning	learning	NOUN
fcis-31663	28	25	to	to	PART
fcis-31663	28	26	achieve	achieve	VERB
fcis-31663	28	27	nondestructive	nondestructive	ADJ
fcis-31663	28	28	detection	detection	NOUN
fcis-31663	28	29	and	and	CCONJ
fcis-31663	28	30	variety	variety	NOUN
fcis-31663	28	31	classification	classification	NOUN
fcis-31663	28	32	of	of	ADP
fcis-31663	28	33	kiwi	kiwi	NOUN
fcis-31663	28	34	fruit	fruit	NOUN
fcis-31663	28	35	quality	quality	NOUN
fcis-31663	28	36	.	.	PUNCT
fcis-31663	29	1	by	by	ADP
fcis-31663	29	2	exploring	explore	VERB
fcis-31663	29	3	the	the	DET
fcis-31663	29	4	application	application	NOUN
fcis-31663	29	5	of	of	ADP
fcis-31663	29	6	nir	nir	ADJ
fcis-31663	29	7	technology	technology	NOUN
fcis-31663	29	8	in	in	ADP
fcis-31663	29	9	the	the	DET
fcis-31663	29	10	internal	internal	ADJ
fcis-31663	29	11	quality	quality	NOUN
fcis-31663	29	12	detection	detection	NOUN
fcis-31663	29	13	of	of	ADP
fcis-31663	29	14	kiwi	kiwi	NOUN
fcis-31663	29	15	fruit	fruit	NOUN
fcis-31663	29	16	,	,	PUNCT
fcis-31663	29	17	a	a	DET
fcis-31663	29	18	classification	classification	NOUN
fcis-31663	29	19	model	model	NOUN
fcis-31663	29	20	for	for	ADP
fcis-31663	29	21	the	the	DET
fcis-31663	29	22	internal	internal	ADJ
fcis-31663	29	23	soluble	soluble	ADJ
fcis-31663	29	24	solids	solid	NOUN
fcis-31663	29	25	content	content	NOUN
fcis-31663	29	26	of	of	ADP
fcis-31663	29	27	kiwi	kiwi	NOUN
fcis-31663	29	28	fruit	fruit	NOUN
fcis-31663	29	29	was	be	AUX
fcis-31663	29	30	established	establish	VERB
fcis-31663	29	31	.	.	PUNCT
fcis-31663	30	1	99	99	NUM
fcis-31663	30	2	2	2	NUM
fcis-31663	30	3	.	.	PUNCT
fcis-31663	30	4	experimental	experimental	ADJ
fcis-31663	30	5	section	section	NOUN
fcis-31663	30	6	2.1	2.1	NUM
fcis-31663	30	7	.	.	PUNCT
fcis-31663	31	1	materials	material	NOUN
fcis-31663	31	2	and	and	CCONJ
fcis-31663	31	3	equipment	equipment	NOUN
fcis-31663	31	4	the	the	DET
fcis-31663	31	5	experimental	experimental	ADJ
fcis-31663	31	6	samples	sample	NOUN
fcis-31663	31	7	for	for	ADP
fcis-31663	31	8	this	this	DET
fcis-31663	31	9	study	study	NOUN
fcis-31663	31	10	were	be	AUX
fcis-31663	31	11	"	"	PUNCT
fcis-31663	31	12	cuixiang	cuixiang	PROPN
fcis-31663	31	13	"	"	PUNCT
fcis-31663	31	14	kiwifruit	kiwifruit	NOUN
fcis-31663	31	15	,	,	PUNCT
fcis-31663	31	16	which	which	PRON
fcis-31663	31	17	were	be	AUX
fcis-31663	31	18	collected	collect	VERB
fcis-31663	31	19	from	from	ADP
fcis-31663	31	20	the	the	DET
fcis-31663	31	21	biyue	biyue	NOUN
fcis-31663	31	22	kiwifruit	kiwifruit	NOUN
fcis-31663	31	23	orchard	orchard	NOUN
fcis-31663	31	24	in	in	ADP
fcis-31663	31	25	xi'an	xi'an	PROPN
fcis-31663	31	26	city	city	PROPN
fcis-31663	31	27	,	,	PUNCT
fcis-31663	31	28	shaanxi	shaanxi	PROPN
fcis-31663	31	29	province	province	PROPN
fcis-31663	31	30	.	.	PUNCT
fcis-31663	32	1	the	the	DET
fcis-31663	32	2	collection	collection	NOUN
fcis-31663	32	3	date	date	NOUN
fcis-31663	32	4	was	be	AUX
fcis-31663	32	5	october	october	PROPN
fcis-31663	32	6	2	2	NUM
fcis-31663	32	7	,	,	PUNCT
fcis-31663	32	8	2024	2024	NUM
fcis-31663	32	9	.	.	PUNCT
fcis-31663	33	1	the	the	DET
fcis-31663	33	2	samples	sample	NOUN
fcis-31663	33	3	were	be	AUX
fcis-31663	33	4	collected	collect	VERB
fcis-31663	33	5	following	follow	VERB
fcis-31663	33	6	the	the	DET
fcis-31663	33	7	principle	principle	NOUN
fcis-31663	33	8	of	of	ADP
fcis-31663	33	9	random	random	ADJ
fcis-31663	33	10	sampling	sampling	NOUN
fcis-31663	33	11	,	,	PUNCT
fcis-31663	33	12	and	and	CCONJ
fcis-31663	33	13	were	be	AUX
fcis-31663	33	14	selected	select	VERB
fcis-31663	33	15	evenly	evenly	ADV
fcis-31663	33	16	from	from	ADP
fcis-31663	33	17	the	the	DET
fcis-31663	33	18	fruits	fruit	NOUN
fcis-31663	33	19	of	of	ADP
fcis-31663	33	20	different	different	ADJ
fcis-31663	33	21	trees	tree	NOUN
fcis-31663	33	22	in	in	ADP
fcis-31663	33	23	the	the	DET
fcis-31663	33	24	orchard	orchard	NOUN
fcis-31663	33	25	.	.	PUNCT
fcis-31663	34	1	after	after	ADP
fcis-31663	34	2	preliminary	preliminary	ADJ
fcis-31663	34	3	screening	screening	NOUN
fcis-31663	34	4	,	,	PUNCT
fcis-31663	34	5	the	the	DET
fcis-31663	34	6	fruits	fruit	NOUN
fcis-31663	34	7	with	with	ADP
fcis-31663	34	8	damaged	damage	VERB
fcis-31663	34	9	skins	skin	NOUN
fcis-31663	34	10	,	,	PUNCT
fcis-31663	34	11	pests	pest	NOUN
fcis-31663	34	12	,	,	PUNCT
fcis-31663	34	13	diseases	disease	NOUN
fcis-31663	34	14	,	,	PUNCT
fcis-31663	34	15	or	or	CCONJ
fcis-31663	34	16	abnormal	abnormal	ADJ
fcis-31663	34	17	shapes	shape	NOUN
fcis-31663	34	18	were	be	AUX
fcis-31663	34	19	excluded	exclude	VERB
fcis-31663	34	20	,	,	PUNCT
fcis-31663	34	21	and	and	CCONJ
fcis-31663	34	22	only	only	ADV
fcis-31663	34	23	the	the	DET
fcis-31663	34	24	high	high	ADJ
fcis-31663	34	25	-	-	PUNCT
fcis-31663	34	26	quality	quality	NOUN
fcis-31663	34	27	samples	sample	NOUN
fcis-31663	34	28	with	with	ADP
fcis-31663	34	29	consistent	consistent	ADJ
fcis-31663	34	30	softness	softness	NOUN
fcis-31663	34	31	were	be	AUX
fcis-31663	34	32	retained	retain	VERB
fcis-31663	34	33	.	.	PUNCT
fcis-31663	35	1	to	to	PART
fcis-31663	35	2	maintain	maintain	VERB
fcis-31663	35	3	the	the	DET
fcis-31663	35	4	freshness	freshness	NOUN
fcis-31663	35	5	of	of	ADP
fcis-31663	35	6	the	the	DET
fcis-31663	35	7	samples	sample	NOUN
fcis-31663	35	8	,	,	PUNCT
fcis-31663	35	9	all	all	DET
fcis-31663	35	10	kiwifruits	kiwifruit	NOUN
fcis-31663	35	11	were	be	AUX
fcis-31663	35	12	immediately	immediately	ADV
fcis-31663	35	13	transferred	transfer	VERB
fcis-31663	35	14	to	to	ADP
fcis-31663	35	15	a	a	DET
fcis-31663	35	16	3	3	NUM
fcis-31663	35	17	-	-	SYM
fcis-31663	35	18	6	6	NUM
fcis-31663	35	19	℃	℃	PROPN
fcis-31663	35	20	constant	constant	ADJ
fcis-31663	35	21	-	-	PUNCT
fcis-31663	35	22	temperature	temperature	NOUN
fcis-31663	35	23	cold	cold	ADJ
fcis-31663	35	24	storage	storage	NOUN
fcis-31663	35	25	for	for	ADP
fcis-31663	35	26	storage	storage	NOUN
fcis-31663	35	27	.	.	PUNCT
fcis-31663	36	1	24	24	NUM
fcis-31663	36	2	hours	hour	NOUN
fcis-31663	36	3	before	before	ADP
fcis-31663	36	4	the	the	DET
fcis-31663	36	5	experiment	experiment	NOUN
fcis-31663	36	6	,	,	PUNCT
fcis-31663	36	7	the	the	DET
fcis-31663	36	8	samples	sample	NOUN
fcis-31663	36	9	were	be	AUX
fcis-31663	36	10	removed	remove	VERB
fcis-31663	36	11	from	from	ADP
fcis-31663	36	12	the	the	DET
fcis-31663	36	13	refrigeration	refrigeration	NOUN
fcis-31663	36	14	environment	environment	NOUN
fcis-31663	36	15	and	and	CCONJ
fcis-31663	36	16	placed	place	VERB
fcis-31663	36	17	in	in	ADP
fcis-31663	36	18	a	a	DET
fcis-31663	36	19	(	(	PUNCT
fcis-31663	36	20	22±2	22±2	NUM
fcis-31663	36	21	)	)	PUNCT
fcis-31663	36	22	℃	℃	PROPN
fcis-31663	36	23	constant	constant	ADJ
fcis-31663	36	24	-	-	PUNCT
fcis-31663	36	25	temperature	temperature	NOUN
fcis-31663	36	26	room	room	NOUN
fcis-31663	36	27	for	for	ADP
fcis-31663	36	28	temperature	temperature	NOUN
fcis-31663	36	29	balance	balance	NOUN
fcis-31663	36	30	treatment	treatment	NOUN
fcis-31663	36	31	.	.	PUNCT
fcis-31663	37	1	regarding	regard	VERB
fcis-31663	37	2	the	the	DET
fcis-31663	37	3	potential	potential	ADJ
fcis-31663	37	4	interference	interference	NOUN
fcis-31663	37	5	of	of	ADP
fcis-31663	37	6	the	the	DET
fcis-31663	37	7	fine	fine	ADJ
fcis-31663	37	8	hairs	hair	NOUN
fcis-31663	37	9	on	on	ADP
fcis-31663	37	10	the	the	DET
fcis-31663	37	11	kiwifruit	kiwifruit	NOUN
fcis-31663	37	12	's	's	PART
fcis-31663	37	13	surface	surface	NOUN
fcis-31663	37	14	on	on	ADP
fcis-31663	37	15	the	the	DET
fcis-31663	37	16	spectral	spectral	ADJ
fcis-31663	37	17	signals	signal	NOUN
fcis-31663	37	18	,	,	PUNCT
fcis-31663	37	19	before	before	ADP
fcis-31663	37	20	the	the	DET
fcis-31663	37	21	experiment	experiment	NOUN
fcis-31663	37	22	,	,	PUNCT
fcis-31663	37	23	the	the	DET
fcis-31663	37	24	samples	sample	NOUN
fcis-31663	37	25	were	be	AUX
fcis-31663	37	26	gently	gently	ADV
fcis-31663	37	27	wiped	wipe	VERB
fcis-31663	37	28	with	with	ADP
fcis-31663	37	29	a	a	DET
fcis-31663	37	30	fine	fine	ADJ
fcis-31663	37	31	cloth	cloth	NOUN
fcis-31663	37	32	to	to	PART
fcis-31663	37	33	ensure	ensure	VERB
fcis-31663	37	34	the	the	DET
fcis-31663	37	35	test	test	NOUN
fcis-31663	37	36	area	area	NOUN
fcis-31663	37	37	was	be	AUX
fcis-31663	37	38	smooth	smooth	ADJ
fcis-31663	37	39	and	and	CCONJ
fcis-31663	37	40	free	free	ADJ
fcis-31663	37	41	of	of	ADP
fcis-31663	37	42	obstructions	obstruction	NOUN
fcis-31663	37	43	.	.	PUNCT
fcis-31663	38	1	after	after	ADP
fcis-31663	38	2	cleaning	clean	VERB
fcis-31663	38	3	,	,	PUNCT
fcis-31663	38	4	each	each	PRON
fcis-31663	38	5	of	of	ADP
fcis-31663	38	6	the	the	DET
fcis-31663	38	7	234	234	NUM
fcis-31663	38	8	valid	valid	ADJ
fcis-31663	38	9	samples	sample	NOUN
fcis-31663	38	10	was	be	AUX
fcis-31663	38	11	numbered	number	VERB
fcis-31663	38	12	and	and	CCONJ
fcis-31663	38	13	marked	mark	VERB
fcis-31663	38	14	one	one	NUM
fcis-31663	38	15	by	by	ADP
fcis-31663	38	16	one	one	NUM
fcis-31663	38	17	.	.	PUNCT
fcis-31663	39	1	the	the	DET
fcis-31663	39	2	spectral	spectral	ADJ
fcis-31663	39	3	collection	collection	NOUN
fcis-31663	39	4	was	be	AUX
fcis-31663	39	5	carried	carry	VERB
fcis-31663	39	6	out	out	ADP
fcis-31663	39	7	using	use	VERB
fcis-31663	39	8	the	the	DET
fcis-31663	39	9	pynet	pynet	NOUN
fcis-31663	39	10	nir	nir	PROPN
fcis-31663	39	11	-	-	PUNCT
fcis-31663	39	12	r210	r210	PROPN
fcis-31663	39	13	reflective	reflective	ADJ
fcis-31663	39	14	spectrometer	spectrometer	NOUN
fcis-31663	39	15	.	.	PUNCT
fcis-31663	40	1	this	this	DET
fcis-31663	40	2	instrument	instrument	NOUN
fcis-31663	40	3	is	be	AUX
fcis-31663	40	4	equipped	equip	VERB
fcis-31663	40	5	with	with	ADP
fcis-31663	40	6	a	a	DET
fcis-31663	40	7	handheld	handheld	ADJ
fcis-31663	40	8	near	near	ADV
fcis-31663	40	9	-	-	PUNCT
fcis-31663	40	10	infrared	infrare	VERB
fcis-31663	40	11	module	module	NOUN
fcis-31663	40	12	and	and	CCONJ
fcis-31663	40	13	an	an	DET
fcis-31663	40	14	internal	internal	ADJ
fcis-31663	40	15	light	light	ADJ
fcis-31663	40	16	source	source	NOUN
fcis-31663	40	17	,	,	PUNCT
fcis-31663	40	18	covering	cover	VERB
fcis-31663	40	19	a	a	DET
fcis-31663	40	20	wavelength	wavelength	NOUN
fcis-31663	40	21	range	range	NOUN
fcis-31663	40	22	of	of	ADP
fcis-31663	40	23	9001700	9001700	NUM
fcis-31663	40	24	nm	nm	NOUN
fcis-31663	40	25	.	.	PUNCT
fcis-31663	41	1	it	it	PRON
fcis-31663	41	2	can	can	AUX
fcis-31663	41	3	accurately	accurately	ADV
fcis-31663	41	4	obtain	obtain	VERB
fcis-31663	41	5	the	the	DET
fcis-31663	41	6	sample	sample	NOUN
fcis-31663	41	7	's	's	PART
fcis-31663	41	8	diffuse	diffuse	NOUN
fcis-31663	41	9	reflection	reflection	NOUN
fcis-31663	41	10	spectral	spectral	ADJ
fcis-31663	41	11	data	datum	NOUN
fcis-31663	41	12	,	,	PUNCT
fcis-31663	41	13	providing	provide	VERB
fcis-31663	41	14	a	a	DET
fcis-31663	41	15	basis	basis	NOUN
fcis-31663	41	16	for	for	ADP
fcis-31663	41	17	subsequent	subsequent	ADJ
fcis-31663	41	18	chemometric	chemometric	ADJ
fcis-31663	41	19	modeling	modeling	NOUN
fcis-31663	41	20	.	.	PUNCT
fcis-31663	42	1	at	at	ADP
fcis-31663	42	2	the	the	DET
fcis-31663	42	3	same	same	ADJ
fcis-31663	42	4	time	time	NOUN
fcis-31663	42	5	,	,	PUNCT
fcis-31663	42	6	the	the	DET
fcis-31663	42	7	atago	atago	NOUN
fcis-31663	42	8	palbx	palbx	X
fcis-31663	42	9	/	/	SYM
fcis-31663	42	10	acid8	acid8	NOUN
fcis-31663	42	11	handheld	handheld	NOUN
fcis-31663	42	12	sugar	sugar	NOUN
fcis-31663	42	13	content	content	NOUN
fcis-31663	42	14	meter	meter	NOUN
fcis-31663	42	15	was	be	AUX
fcis-31663	42	16	used	use	VERB
fcis-31663	42	17	to	to	PART
fcis-31663	42	18	measure	measure	VERB
fcis-31663	42	19	the	the	DET
fcis-31663	42	20	soluble	soluble	ADJ
fcis-31663	42	21	solid	solid	ADJ
fcis-31663	42	22	content	content	NOUN
fcis-31663	42	23	(	(	PUNCT
fcis-31663	42	24	ssc	ssc	NOUN
fcis-31663	42	25	)	)	PUNCT
fcis-31663	42	26	.	.	PUNCT
fcis-31663	43	1	this	this	DET
fcis-31663	43	2	device	device	NOUN
fcis-31663	43	3	has	have	VERB
fcis-31663	43	4	a	a	DET
fcis-31663	43	5	built	build	VERB
fcis-31663	43	6	-	-	PUNCT
fcis-31663	43	7	in	in	ADP
fcis-31663	43	8	compensation	compensation	NOUN
fcis-31663	43	9	curve	curve	NOUN
fcis-31663	43	10	correction	correction	NOUN
fcis-31663	43	11	function	function	NOUN
fcis-31663	43	12	,	,	PUNCT
fcis-31663	43	13	which	which	PRON
fcis-31663	43	14	can	can	AUX
fcis-31663	43	15	effectively	effectively	ADV
fcis-31663	43	16	reduce	reduce	VERB
fcis-31663	43	17	environmental	environmental	ADJ
fcis-31663	43	18	errors	error	NOUN
fcis-31663	43	19	and	and	CCONJ
fcis-31663	43	20	ensure	ensure	VERB
fcis-31663	43	21	the	the	DET
fcis-31663	43	22	repeatability	repeatability	NOUN
fcis-31663	43	23	and	and	CCONJ
fcis-31663	43	24	accuracy	accuracy	NOUN
fcis-31663	43	25	of	of	ADP
fcis-31663	43	26	the	the	DET
fcis-31663	43	27	sugar	sugar	NOUN
fcis-31663	43	28	content	content	NOUN
fcis-31663	43	29	measurement	measurement	NOUN
fcis-31663	43	30	results	result	VERB
fcis-31663	43	31	.	.	PUNCT
fcis-31663	44	1	the	the	DET
fcis-31663	44	2	collaborative	collaborative	ADJ
fcis-31663	44	3	application	application	NOUN
fcis-31663	44	4	of	of	ADP
fcis-31663	44	5	the	the	DET
fcis-31663	44	6	two	two	NUM
fcis-31663	44	7	instruments	instrument	NOUN
fcis-31663	44	8	forms	form	VERB
fcis-31663	44	9	a	a	DET
fcis-31663	44	10	complete	complete	ADJ
fcis-31663	44	11	data	data	NOUN
fcis-31663	44	12	collection	collection	NOUN
fcis-31663	44	13	system	system	NOUN
fcis-31663	44	14	,	,	PUNCT
fcis-31663	44	15	providing	provide	VERB
fcis-31663	44	16	technical	technical	ADJ
fcis-31663	44	17	support	support	NOUN
fcis-31663	44	18	for	for	ADP
fcis-31663	44	19	the	the	DET
fcis-31663	44	20	research	research	NOUN
fcis-31663	44	21	on	on	ADP
fcis-31663	44	22	non	non	ADJ
fcis-31663	44	23	-	-	ADJ
fcis-31663	44	24	destructive	destructive	ADJ
fcis-31663	44	25	detection	detection	NOUN
fcis-31663	44	26	of	of	ADP
fcis-31663	44	27	kiwifruit	kiwifruit	NOUN
fcis-31663	44	28	quality	quality	NOUN
fcis-31663	44	29	.	.	PUNCT
fcis-31663	45	1	2.2	2.2	NUM
fcis-31663	45	2	.	.	PUNCT
fcis-31663	45	3	data	datum	NOUN
fcis-31663	45	4	acquisition	acquisition	NOUN
fcis-31663	45	5	this	this	DET
fcis-31663	45	6	study	study	NOUN
fcis-31663	45	7	used	use	VERB
fcis-31663	45	8	the	the	DET
fcis-31663	45	9	pynet	pynet	NOUN
fcis-31663	45	10	nir	nir	PROPN
fcis-31663	45	11	-	-	PUNCT
fcis-31663	45	12	r210	r210	PROPN
fcis-31663	45	13	reflective	reflective	ADJ
fcis-31663	45	14	spectrometer	spectrometer	NOUN
fcis-31663	45	15	(	(	PUNCT
fcis-31663	45	16	figure	figure	NOUN
fcis-31663	45	17	1	1	NUM
fcis-31663	45	18	)	)	PUNCT
fcis-31663	45	19	to	to	PART
fcis-31663	45	20	collect	collect	VERB
fcis-31663	45	21	the	the	DET
fcis-31663	45	22	spectral	spectral	ADJ
fcis-31663	45	23	data	datum	NOUN
fcis-31663	45	24	of	of	ADP
fcis-31663	45	25	kiwifruit	kiwifruit	NOUN
fcis-31663	45	26	,	,	PUNCT
fcis-31663	45	27	and	and	CCONJ
fcis-31663	45	28	the	the	DET
fcis-31663	45	29	standard	standard	ADJ
fcis-31663	45	30	white	white	PROPN
fcis-31663	45	31	board	board	PROPN
fcis-31663	45	32	of	of	ADP
fcis-31663	45	33	the	the	DET
fcis-31663	45	34	same	same	ADJ
fcis-31663	45	35	brand	brand	NOUN
fcis-31663	45	36	,	,	PUNCT
fcis-31663	45	37	std	std	PROPN
fcis-31663	45	38	-	-	ADJ
fcis-31663	45	39	dr100	dr100	PROPN
fcis-31663	45	40	(	(	PUNCT
fcis-31663	45	41	spectral	spectral	ADJ
fcis-31663	45	42	range	range	NOUN
fcis-31663	45	43	:	:	PUNCT
fcis-31663	45	44	200	200	NUM
fcis-31663	45	45	2500	2500	NUM
fcis-31663	45	46	nm	nm	NOUN
fcis-31663	45	47	,	,	PUNCT
fcis-31663	45	48	full	full	ADJ
fcis-31663	45	49	spectral	spectral	ADJ
fcis-31663	45	50	band	band	NOUN
fcis-31663	45	51	reflectance	reflectance	NOUN
fcis-31663	45	52	≥	≥	NUM
fcis-31663	45	53	98	98	NUM
fcis-31663	45	54	%	%	NOUN
fcis-31663	45	55	)	)	PUNCT
fcis-31663	45	56	,	,	PUNCT
fcis-31663	45	57	was	be	AUX
fcis-31663	45	58	used	use	VERB
fcis-31663	45	59	as	as	ADP
fcis-31663	45	60	a	a	DET
fcis-31663	45	61	companion	companion	NOUN
fcis-31663	45	62	.	.	PUNCT
fcis-31663	46	1	the	the	DET
fcis-31663	46	2	specific	specific	ADJ
fcis-31663	46	3	experimental	experimental	ADJ
fcis-31663	46	4	process	process	NOUN
fcis-31663	46	5	is	be	AUX
fcis-31663	46	6	as	as	SCONJ
fcis-31663	46	7	follows	follow	VERB
fcis-31663	46	8	:	:	PUNCT
fcis-31663	46	9	1	1	NUM
fcis-31663	46	10	)	)	PUNCT
fcis-31663	46	11	sample	sample	NOUN
fcis-31663	46	12	pre	pre	NOUN
fcis-31663	46	13	-	-	NOUN
fcis-31663	46	14	treatment	treatment	NOUN
fcis-31663	46	15	and	and	CCONJ
fcis-31663	46	16	positioning	positioning	NOUN
fcis-31663	46	17	mark	mark	NOUN
fcis-31663	46	18	the	the	DET
fcis-31663	46	19	kiwifruit	kiwifruit	NOUN
fcis-31663	46	20	samples	sample	NOUN
fcis-31663	46	21	at	at	ADP
fcis-31663	46	22	multiple	multiple	ADJ
fcis-31663	46	23	angles	angle	NOUN
fcis-31663	46	24	:	:	PUNCT
fcis-31663	46	25	set	set	VERB
fcis-31663	46	26	a	a	DET
fcis-31663	46	27	measurement	measurement	NOUN
fcis-31663	46	28	point	point	NOUN
fcis-31663	46	29	every	every	DET
fcis-31663	46	30	90	90	NUM
fcis-31663	46	31	°	°	NOUN
fcis-31663	46	32	along	along	ADP
fcis-31663	46	33	the	the	DET
fcis-31663	46	34	equatorial	equatorial	ADJ
fcis-31663	46	35	plane	plane	NOUN
fcis-31663	46	36	of	of	ADP
fcis-31663	46	37	the	the	DET
fcis-31663	46	38	fruit	fruit	NOUN
fcis-31663	46	39	(	(	PUNCT
fcis-31663	46	40	a	a	DET
fcis-31663	46	41	total	total	NOUN
fcis-31663	46	42	of	of	ADP
fcis-31663	46	43	4	4	NUM
fcis-31663	46	44	points	point	NOUN
fcis-31663	46	45	)	)	PUNCT
fcis-31663	46	46	,	,	PUNCT
fcis-31663	46	47	and	and	CCONJ
fcis-31663	46	48	attach	attach	VERB
fcis-31663	46	49	a	a	DET
fcis-31663	46	50	digital	digital	ADJ
fcis-31663	46	51	identification	identification	NOUN
fcis-31663	46	52	label	label	NOUN
fcis-31663	46	53	at	at	ADP
fcis-31663	46	54	each	each	DET
fcis-31663	46	55	point	point	NOUN
fcis-31663	46	56	to	to	PART
fcis-31663	46	57	ensure	ensure	VERB
fcis-31663	46	58	precise	precise	ADJ
fcis-31663	46	59	positioning	positioning	NOUN
fcis-31663	46	60	.	.	PUNCT
fcis-31663	47	1	2	2	NUM
fcis-31663	47	2	)	)	PUNCT
fcis-31663	47	3	instrument	instrument	NOUN
fcis-31663	47	4	system	system	NOUN
fcis-31663	47	5	initialization	initialization	NOUN
fcis-31663	47	6	after	after	ADP
fcis-31663	47	7	turning	turn	VERB
fcis-31663	47	8	on	on	ADP
fcis-31663	47	9	the	the	DET
fcis-31663	47	10	built	build	VERB
fcis-31663	47	11	-	-	PUNCT
fcis-31663	47	12	in	in	ADP
fcis-31663	47	13	light	light	ADJ
fcis-31663	47	14	source	source	NOUN
fcis-31663	47	15	of	of	ADP
fcis-31663	47	16	the	the	DET
fcis-31663	47	17	spectrometer	spectrometer	NOUN
fcis-31663	47	18	,	,	PUNCT
fcis-31663	47	19	perform	perform	VERB
fcis-31663	47	20	10	10	NUM
fcis-31663	47	21	-	-	PUNCT
fcis-31663	47	22	minute	minute	NOUN
fcis-31663	47	23	preheating	preheating	NOUN
fcis-31663	47	24	treatment	treatment	NOUN
fcis-31663	47	25	to	to	PART
fcis-31663	47	26	ensure	ensure	VERB
fcis-31663	47	27	the	the	DET
fcis-31663	47	28	stability	stability	NOUN
fcis-31663	47	29	of	of	ADP
fcis-31663	47	30	the	the	DET
fcis-31663	47	31	light	light	ADJ
fcis-31663	47	32	source	source	NOUN
fcis-31663	47	33	output	output	NOUN
fcis-31663	47	34	and	and	CCONJ
fcis-31663	47	35	eliminate	eliminate	VERB
fcis-31663	47	36	the	the	DET
fcis-31663	47	37	influence	influence	NOUN
fcis-31663	47	38	of	of	ADP
fcis-31663	47	39	environmental	environmental	ADJ
fcis-31663	47	40	temperature	temperature	NOUN
fcis-31663	47	41	fluctuations	fluctuation	NOUN
fcis-31663	47	42	on	on	ADP
fcis-31663	47	43	the	the	DET
fcis-31663	47	44	optical	optical	ADJ
fcis-31663	47	45	system	system	NOUN
fcis-31663	47	46	.	.	PUNCT
fcis-31663	48	1	3	3	X
fcis-31663	48	2	)	)	PUNCT
fcis-31663	48	3	standardization	standardization	NOUN
fcis-31663	48	4	calibration	calibration	NOUN
fcis-31663	48	5	before	before	ADP
fcis-31663	48	6	sample	sample	NOUN
fcis-31663	48	7	detection	detection	NOUN
fcis-31663	48	8	,	,	PUNCT
fcis-31663	48	9	collect	collect	VERB
fcis-31663	48	10	the	the	DET
fcis-31663	48	11	reference	reference	NOUN
fcis-31663	48	12	spectrum	spectrum	VERB
fcis-31663	48	13	through	through	ADP
fcis-31663	48	14	the	the	DET
fcis-31663	48	15	std	std	PROPN
fcis-31663	48	16	-	-	PROPN
fcis-31663	48	17	dr100	dr100	PROPN
fcis-31663	48	18	standard	standard	ADJ
fcis-31663	48	19	white	white	PROPN
fcis-31663	48	20	board	board	PROPN
fcis-31663	48	21	to	to	PART
fcis-31663	48	22	establish	establish	VERB
fcis-31663	48	23	the	the	DET
fcis-31663	48	24	baseline	baseline	NOUN
fcis-31663	48	25	reflectance	reflectance	NOUN
fcis-31663	48	26	calibration	calibration	NOUN
fcis-31663	48	27	value	value	NOUN
fcis-31663	48	28	,	,	PUNCT
fcis-31663	48	29	in	in	ADP
fcis-31663	48	30	order	order	NOUN
fcis-31663	48	31	to	to	PART
fcis-31663	48	32	eliminate	eliminate	VERB
fcis-31663	48	33	instrument	instrument	NOUN
fcis-31663	48	34	drift	drift	NOUN
fcis-31663	48	35	and	and	CCONJ
fcis-31663	48	36	environmental	environmental	ADJ
fcis-31663	48	37	stray	stray	ADJ
fcis-31663	48	38	light	light	ADJ
fcis-31663	48	39	interference	interference	NOUN
fcis-31663	48	40	.	.	PUNCT
fcis-31663	49	1	4	4	X
fcis-31663	49	2	)	)	PUNCT
fcis-31663	49	3	spectral	spectral	ADJ
fcis-31663	49	4	collection	collection	NOUN
fcis-31663	49	5	:	:	PUNCT
fcis-31663	49	6	carefully	carefully	ADV
fcis-31663	49	7	adjust	adjust	VERB
fcis-31663	49	8	the	the	DET
fcis-31663	49	9	kiwifruit	kiwifruit	NOUN
fcis-31663	49	10	sample	sample	NOUN
fcis-31663	49	11	to	to	PART
fcis-31663	49	12	ensure	ensure	VERB
fcis-31663	49	13	that	that	SCONJ
fcis-31663	49	14	its	its	PRON
fcis-31663	49	15	surface	surface	NOUN
fcis-31663	49	16	is	be	AUX
fcis-31663	49	17	90	90	NUM
fcis-31663	49	18	°	°	NOUN
fcis-31663	49	19	perpendicular	perpendicular	NOUN
fcis-31663	49	20	to	to	ADP
fcis-31663	49	21	the	the	DET
fcis-31663	49	22	collection	collection	NOUN
fcis-31663	49	23	surface	surface	NOUN
fcis-31663	49	24	of	of	ADP
fcis-31663	49	25	the	the	DET
fcis-31663	49	26	spectrometer	spectrometer	NOUN
fcis-31663	49	27	,	,	PUNCT
fcis-31663	49	28	and	and	CCONJ
fcis-31663	49	29	strictly	strictly	ADV
fcis-31663	49	30	control	control	VERB
fcis-31663	49	31	the	the	DET
fcis-31663	49	32	distance	distance	NOUN
fcis-31663	49	33	between	between	ADP
fcis-31663	49	34	this	this	DET
fcis-31663	49	35	area	area	NOUN
fcis-31663	49	36	and	and	CCONJ
fcis-31663	49	37	the	the	DET
fcis-31663	49	38	fruit	fruit	NOUN
fcis-31663	49	39	surface	surface	NOUN
fcis-31663	49	40	to	to	PART
fcis-31663	49	41	effectively	effectively	ADV
fcis-31663	49	42	reduce	reduce	VERB
fcis-31663	49	43	the	the	DET
fcis-31663	49	44	interference	interference	NOUN
fcis-31663	49	45	of	of	ADP
fcis-31663	49	46	other	other	ADJ
fcis-31663	49	47	light	light	NOUN
fcis-31663	49	48	on	on	ADP
fcis-31663	49	49	the	the	DET
fcis-31663	49	50	experimental	experimental	ADJ
fcis-31663	49	51	results	result	NOUN
fcis-31663	49	52	.	.	PUNCT
fcis-31663	50	1	5	5	X
fcis-31663	50	2	)	)	PUNCT
fcis-31663	50	3	soluble	soluble	ADJ
fcis-31663	50	4	solids	solid	NOUN
fcis-31663	50	5	content	content	NOUN
fcis-31663	50	6	(	(	PUNCT
fcis-31663	50	7	ssc	ssc	NOUN
fcis-31663	50	8	)	)	PUNCT
fcis-31663	50	9	data	datum	NOUN
fcis-31663	50	10	collection	collection	NOUN
fcis-31663	50	11	:	:	PUNCT
fcis-31663	50	12	first	first	ADV
fcis-31663	50	13	,	,	PUNCT
fcis-31663	50	14	remove	remove	VERB
fcis-31663	50	15	the	the	DET
fcis-31663	50	16	skin	skin	NOUN
fcis-31663	50	17	of	of	ADP
fcis-31663	50	18	the	the	DET
fcis-31663	50	19	kiwifruit	kiwifruit	NOUN
fcis-31663	50	20	sample	sample	NOUN
fcis-31663	50	21	,	,	PUNCT
fcis-31663	50	22	precisely	precisely	ADV
fcis-31663	50	23	cut	cut	ADJ
fcis-31663	50	24	uniform	uniform	ADJ
fcis-31663	50	25	tissue	tissue	NOUN
fcis-31663	50	26	blocks	block	NOUN
fcis-31663	50	27	at	at	ADP
fcis-31663	50	28	each	each	DET
fcis-31663	50	29	measurement	measurement	NOUN
fcis-31663	50	30	point	point	NOUN
fcis-31663	50	31	,	,	PUNCT
fcis-31663	50	32	and	and	CCONJ
fcis-31663	50	33	obtain	obtain	VERB
fcis-31663	50	34	the	the	DET
fcis-31663	50	35	sample	sample	NOUN
fcis-31663	50	36	juice	juice	NOUN
fcis-31663	50	37	after	after	ADP
fcis-31663	50	38	thorough	thorough	ADJ
fcis-31663	50	39	crushing	crush	VERB
fcis-31663	50	40	by	by	ADP
fcis-31663	50	41	a	a	DET
fcis-31663	50	42	juicer	juicer	NOUN
fcis-31663	50	43	.	.	PUNCT
fcis-31663	51	1	use	use	VERB
fcis-31663	51	2	highdensity	highdensity	NOUN
fcis-31663	51	3	non	non	ADJ
fcis-31663	51	4	-	-	ADJ
fcis-31663	51	5	woven	woven	ADJ
fcis-31663	51	6	fabric	fabric	NOUN
fcis-31663	51	7	for	for	ADP
fcis-31663	51	8	double	double	ADJ
fcis-31663	51	9	filtration	filtration	NOUN
fcis-31663	51	10	to	to	PART
fcis-31663	51	11	completely	completely	ADV
fcis-31663	51	12	remove	remove	VERB
fcis-31663	51	13	suspended	suspend	VERB
fcis-31663	51	14	impurities	impurity	NOUN
fcis-31663	51	15	.	.	PUNCT
fcis-31663	52	1	take	take	VERB
fcis-31663	52	2	the	the	DET
fcis-31663	52	3	clarified	clarify	VERB
fcis-31663	52	4	juice	juice	NOUN
fcis-31663	52	5	and	and	CCONJ
fcis-31663	52	6	conduct	conduct	VERB
fcis-31663	52	7	sugar	sugar	NOUN
fcis-31663	52	8	content	content	NOUN
fcis-31663	52	9	detection	detection	NOUN
fcis-31663	52	10	using	use	VERB
fcis-31663	52	11	the	the	DET
fcis-31663	52	12	pal	pal	NOUN
fcis-31663	52	13	-	-	PUNCT
fcis-31663	52	14	bx	bx	NOUN
fcis-31663	52	15	/	/	SYM
fcis-31663	52	16	acid8	acid8	NOUN
fcis-31663	52	17	handheld	handheld	NOUN
fcis-31663	52	18	refractometer	refractometer	NOUN
fcis-31663	52	19	,	,	PUNCT
fcis-31663	52	20	implement	implement	VERB
fcis-31663	52	21	three	three	NUM
fcis-31663	52	22	independent	independent	ADJ
fcis-31663	52	23	repeated	repeat	VERB
fcis-31663	52	24	measurements	measurement	NOUN
fcis-31663	52	25	,	,	PUNCT
fcis-31663	52	26	and	and	CCONJ
fcis-31663	52	27	calculate	calculate	VERB
fcis-31663	52	28	the	the	DET
fcis-31663	52	29	arithmetic	arithmetic	ADJ
fcis-31663	52	30	mean	mean	NOUN
fcis-31663	52	31	as	as	ADP
fcis-31663	52	32	the	the	DET
fcis-31663	52	33	final	final	ADJ
fcis-31663	52	34	determination	determination	NOUN
fcis-31663	52	35	result	result	NOUN
fcis-31663	52	36	.	.	PUNCT
fcis-31663	53	1	based	base	VERB
fcis-31663	53	2	on	on	ADP
fcis-31663	53	3	the	the	DET
fcis-31663	53	4	chinese	chinese	ADJ
fcis-31663	53	5	national	national	PROPN
fcis-31663	53	6	industry	industry	PROPN
fcis-31663	53	7	standard	standard	PROPN
fcis-31663	53	8	ny	ny	PROPN
fcis-31663	53	9	/	/	SYM
fcis-31663	53	10	t	t	PROPN
fcis-31663	53	11	2002	2002	NUM
fcis-31663	53	12	-	-	SYM
fcis-31663	53	13	2011	2011	NUM
fcis-31663	53	14	"	"	PUNCT
fcis-31663	53	15	determination	determination	NOUN
fcis-31663	53	16	of	of	ADP
fcis-31663	53	17	soluble	soluble	ADJ
fcis-31663	53	18	solid	solid	ADJ
fcis-31663	53	19	content	content	NOUN
fcis-31663	53	20	in	in	ADP
fcis-31663	53	21	fruits	fruit	NOUN
fcis-31663	53	22	and	and	CCONJ
fcis-31663	53	23	products	product	NOUN
fcis-31663	53	24	refractometer	refractometer	NOUN
fcis-31663	53	25	method	method	NOUN
fcis-31663	53	26	"	"	PUNCT
fcis-31663	53	27	,	,	PUNCT
fcis-31663	53	28	a	a	DET
fcis-31663	53	29	grading	grade	VERB
fcis-31663	53	30	system	system	NOUN
fcis-31663	53	31	was	be	AUX
fcis-31663	53	32	established	establish	VERB
fcis-31663	53	33	:	:	PUNCT
fcis-31663	53	34	when	when	SCONJ
fcis-31663	53	35	ssc	ssc	X
fcis-31663	53	36	≥	≥	NOUN
fcis-31663	53	37	14	14	NUM
fcis-31663	53	38	%	%	NOUN
fcis-31663	53	39	,	,	PUNCT
fcis-31663	53	40	it	it	PRON
fcis-31663	53	41	is	be	AUX
fcis-31663	53	42	determined	determine	VERB
fcis-31663	53	43	as	as	ADP
fcis-31663	53	44	class	class	NOUN
fcis-31663	53	45	i	i	PRON
fcis-31663	53	46	high	high	ADJ
fcis-31663	53	47	-	-	PUNCT
fcis-31663	53	48	quality	quality	NOUN
fcis-31663	53	49	fruit	fruit	NOUN
fcis-31663	53	50	;	;	PUNCT
fcis-31663	53	51	those	those	PRON
fcis-31663	53	52	with	with	ADP
fcis-31663	53	53	ssc	ssc	NOUN
fcis-31663	53	54	in	in	ADP
fcis-31663	53	55	the	the	DET
fcis-31663	53	56	range	range	NOUN
fcis-31663	53	57	of	of	ADP
fcis-31663	53	58	10	10	NUM
fcis-31663	53	59	%	%	NOUN
fcis-31663	53	60	14	14	NUM
fcis-31663	53	61	%	%	NOUN
fcis-31663	53	62	(	(	PUNCT
fcis-31663	53	63	including	include	VERB
fcis-31663	53	64	the	the	DET
fcis-31663	53	65	lower	low	ADJ
fcis-31663	53	66	limit	limit	NOUN
fcis-31663	53	67	but	but	CCONJ
fcis-31663	53	68	excluding	exclude	VERB
fcis-31663	53	69	the	the	DET
fcis-31663	53	70	upper	upper	ADJ
fcis-31663	53	71	limit	limit	NOUN
fcis-31663	53	72	)	)	PUNCT
fcis-31663	53	73	are	be	AUX
fcis-31663	53	74	classified	classify	VERB
fcis-31663	53	75	as	as	ADP
fcis-31663	53	76	class	class	NOUN
fcis-31663	53	77	ii	ii	PROPN
fcis-31663	53	78	standard	standard	ADJ
fcis-31663	53	79	fruit	fruit	NOUN
fcis-31663	53	80	;	;	PUNCT
fcis-31663	53	81	and	and	CCONJ
fcis-31663	53	82	those	those	PRON
fcis-31663	53	83	with	with	ADP
fcis-31663	53	84	ssc	ssc	NOUN
fcis-31663	53	85	<	<	X
fcis-31663	53	86	10	10	NUM
fcis-31663	53	87	%	%	NOUN
fcis-31663	53	88	are	be	AUX
fcis-31663	53	89	classified	classify	VERB
fcis-31663	53	90	as	as	ADP
fcis-31663	53	91	class	class	NOUN
fcis-31663	53	92	iii	iii	NUM
fcis-31663	53	93	fruit	fruit	NOUN
fcis-31663	53	94	to	to	PART
fcis-31663	53	95	be	be	AUX
fcis-31663	53	96	improved	improve	VERB
fcis-31663	53	97	.	.	PUNCT
fcis-31663	54	1	this	this	DET
fcis-31663	54	2	classification	classification	NOUN
fcis-31663	54	3	standard	standard	NOUN
fcis-31663	54	4	is	be	AUX
fcis-31663	54	5	precisely	precisely	ADV
fcis-31663	54	6	quantified	quantified	ADJ
fcis-31663	54	7	and	and	CCONJ
fcis-31663	54	8	determined	determine	VERB
fcis-31663	54	9	by	by	ADP
fcis-31663	54	10	the	the	DET
fcis-31663	54	11	handheld	handheld	ADJ
fcis-31663	54	12	refractometer	refractometer	NOUN
fcis-31663	54	13	to	to	PART
fcis-31663	54	14	ensure	ensure	VERB
fcis-31663	54	15	the	the	DET
fcis-31663	54	16	scientificity	scientificity	NOUN
fcis-31663	54	17	and	and	CCONJ
fcis-31663	54	18	operability	operability	NOUN
fcis-31663	54	19	of	of	ADP
fcis-31663	54	20	the	the	DET
fcis-31663	54	21	grading	grade	VERB
fcis-31663	54	22	system	system	NOUN
fcis-31663	54	23	.	.	PUNCT
fcis-31663	55	1	2.3	2.3	NUM
fcis-31663	55	2	.	.	PUNCT
fcis-31663	56	1	multi	multi	ADJ
fcis-31663	56	2	-	-	ADJ
fcis-31663	56	3	class	class	ADJ
fcis-31663	56	4	evaluation	evaluation	NOUN
fcis-31663	56	5	metrics	metric	NOUN
fcis-31663	56	6	this	this	DET
fcis-31663	56	7	study	study	NOUN
fcis-31663	56	8	has	have	AUX
fcis-31663	56	9	constructed	construct	VERB
fcis-31663	56	10	a	a	DET
fcis-31663	56	11	three	three	NUM
fcis-31663	56	12	-	-	PUNCT
fcis-31663	56	13	dimensional	dimensional	ADJ
fcis-31663	56	14	quantitative	quantitative	ADJ
fcis-31663	56	15	assessment	assessment	NOUN
fcis-31663	56	16	framework	framework	NOUN
fcis-31663	56	17	,	,	PUNCT
fcis-31663	56	18	systematically	systematically	ADV
fcis-31663	56	19	quantifying	quantify	VERB
fcis-31663	56	20	the	the	DET
fcis-31663	56	21	predictive	predictive	ADJ
fcis-31663	56	22	efficacy	efficacy	NOUN
fcis-31663	56	23	of	of	ADP
fcis-31663	56	24	the	the	DET
fcis-31663	56	25	model	model	NOUN
fcis-31663	56	26	through	through	ADP
fcis-31663	56	27	three	three	NUM
fcis-31663	56	28	-	-	PUNCT
fcis-31663	56	29	dimensional	dimensional	ADJ
fcis-31663	56	30	indicators	indicator	NOUN
fcis-31663	56	31	of	of	ADP
fcis-31663	56	32	accuracy	accuracy	NOUN
fcis-31663	56	33	(	(	PUNCT
fcis-31663	56	34	accuracy	accuracy	NOUN
fcis-31663	56	35	)	)	PUNCT
fcis-31663	56	36	,	,	PUNCT
fcis-31663	56	37	precision	precision	NOUN
fcis-31663	56	38	(	(	PUNCT
fcis-31663	56	39	precision	precision	NOUN
fcis-31663	56	40	)	)	PUNCT
fcis-31663	56	41	,	,	PUNCT
fcis-31663	56	42	and	and	CCONJ
fcis-31663	56	43	recall	recall	NOUN
fcis-31663	56	44	(	(	PUNCT
fcis-31663	56	45	recall	recall	NOUN
fcis-31663	56	46	)	)	PUNCT
fcis-31663	56	47	.	.	PUNCT
fcis-31663	57	1	among	among	ADP
fcis-31663	57	2	them	they	PRON
fcis-31663	57	3	:	:	PUNCT
fcis-31663	57	4	accuracy	accuracy	NOUN
fcis-31663	57	5	,	,	PUNCT
fcis-31663	57	6	as	as	ADP
fcis-31663	57	7	a	a	DET
fcis-31663	57	8	global	global	ADJ
fcis-31663	57	9	evaluation	evaluation	NOUN
fcis-31663	57	10	parameter	parameter	NOUN
fcis-31663	57	11	,	,	PUNCT
fcis-31663	57	12	comprehensively	comprehensively	ADV
fcis-31663	57	13	reflects	reflect	VERB
fcis-31663	57	14	the	the	DET
fcis-31663	57	15	overall	overall	ADJ
fcis-31663	57	16	discrimination	discrimination	NOUN
fcis-31663	57	17	ability	ability	NOUN
fcis-31663	57	18	of	of	ADP
fcis-31663	57	19	the	the	DET
fcis-31663	57	20	model	model	NOUN
fcis-31663	57	21	for	for	ADP
fcis-31663	57	22	positive	positive	ADJ
fcis-31663	57	23	and	and	CCONJ
fcis-31663	57	24	negative	negative	ADJ
fcis-31663	57	25	samples	sample	NOUN
fcis-31663	57	26	.	.	PUNCT
fcis-31663	58	1	its	its	PRON
fcis-31663	58	2	mathematical	mathematical	ADJ
fcis-31663	58	3	expression	expression	NOUN
fcis-31663	58	4	is	be	AUX
fcis-31663	58	5	:	:	PUNCT
fcis-31663	58	6	accuracy	accuracy	NOUN
fcis-31663	58	7	tp	tp	ADP
fcis-31663	58	8	tn	tn	PROPN
fcis-31663	58	9	tp	tp	ADP
fcis-31663	58	10	fp	fp	PROPN
fcis-31663	58	11	fntp	fntp	PROPN
fcis-31663	58	12	tn	tn	PROPN
fcis-31663	58	13	1	1	NUM
fcis-31663	58	14	in	in	ADP
fcis-31663	58	15	the	the	DET
fcis-31663	58	16	formula	formula	NOUN
fcis-31663	58	17	,	,	PUNCT
fcis-31663	58	18	tp	tp	X
fcis-31663	58	19	(	(	PUNCT
fcis-31663	58	20	true	true	ADJ
fcis-31663	58	21	positive	positive	ADJ
fcis-31663	58	22	)	)	PUNCT
fcis-31663	58	23	represents	represent	VERB
fcis-31663	58	24	the	the	DET
fcis-31663	58	25	number	number	NOUN
fcis-31663	58	26	of	of	ADP
fcis-31663	58	27	true	true	ADJ
fcis-31663	58	28	positive	positive	ADJ
fcis-31663	58	29	samples	sample	NOUN
fcis-31663	58	30	,	,	PUNCT
fcis-31663	58	31	tn	tn	PROPN
fcis-31663	58	32	(	(	PUNCT
fcis-31663	58	33	true	true	ADJ
fcis-31663	58	34	negative	negative	NOUN
fcis-31663	58	35	)	)	PUNCT
fcis-31663	58	36	represents	represent	VERB
fcis-31663	58	37	the	the	DET
fcis-31663	58	38	number	number	NOUN
fcis-31663	58	39	of	of	ADP
fcis-31663	58	40	true	true	ADJ
fcis-31663	58	41	negative	negative	ADJ
fcis-31663	58	42	samples	sample	NOUN
fcis-31663	58	43	,	,	PUNCT
fcis-31663	58	44	fp	fp	X
fcis-31663	58	45	(	(	PUNCT
fcis-31663	58	46	false	false	ADJ
fcis-31663	58	47	positive	positive	ADJ
fcis-31663	58	48	)	)	PUNCT
fcis-31663	58	49	represents	represent	VERB
fcis-31663	58	50	the	the	DET
fcis-31663	58	51	number	number	NOUN
fcis-31663	58	52	of	of	ADP
fcis-31663	58	53	false	false	ADJ
fcis-31663	58	54	positive	positive	ADJ
fcis-31663	58	55	samples	sample	NOUN
fcis-31663	58	56	,	,	PUNCT
fcis-31663	58	57	and	and	CCONJ
fcis-31663	58	58	fn	fn	INTJ
fcis-31663	58	59	(	(	PUNCT
fcis-31663	58	60	false	false	ADJ
fcis-31663	58	61	negative	negative	NOUN
fcis-31663	58	62	)	)	PUNCT
fcis-31663	58	63	represents	represent	VERB
fcis-31663	58	64	the	the	DET
fcis-31663	58	65	number	number	NOUN
fcis-31663	58	66	of	of	ADP
fcis-31663	58	67	false	false	ADJ
fcis-31663	58	68	negative	negative	ADJ
fcis-31663	58	69	samples	sample	NOUN
fcis-31663	58	70	.	.	PUNCT
fcis-31663	59	1	precision	precision	NOUN
fcis-31663	59	2	,	,	PUNCT
fcis-31663	59	3	as	as	ADP
fcis-31663	59	4	a	a	DET
fcis-31663	59	5	reliability	reliability	NOUN
fcis-31663	59	6	indicator	indicator	NOUN
fcis-31663	59	7	for	for	ADP
fcis-31663	59	8	positive	positive	ADJ
fcis-31663	59	9	predictions	prediction	NOUN
fcis-31663	59	10	,	,	PUNCT
fcis-31663	59	11	precisely	precisely	ADV
fcis-31663	59	12	measures	measure	VERB
fcis-31663	59	13	the	the	DET
fcis-31663	59	14	proportion	proportion	NOUN
fcis-31663	59	15	of	of	ADP
fcis-31663	59	16	actual	actual	ADJ
fcis-31663	59	17	true	true	ADJ
fcis-31663	59	18	positives	positive	NOUN
fcis-31663	59	19	among	among	ADP
fcis-31663	59	20	the	the	DET
fcis-31663	59	21	predicted	predict	VERB
fcis-31663	59	22	positive	positive	ADJ
fcis-31663	59	23	samples	sample	NOUN
fcis-31663	59	24	.	.	PUNCT
fcis-31663	60	1	the	the	DET
fcis-31663	60	2	calculation	calculation	NOUN
fcis-31663	60	3	formula	formula	NOUN
fcis-31663	60	4	is	be	AUX
fcis-31663	60	5	:	:	PUNCT
fcis-31663	60	6	precision	precision	NOUN
fcis-31663	60	7	tp	tp	NOUN
fcis-31663	60	8	tp	tp	NOUN
fcis-31663	60	9	fp	fp	ADP
fcis-31663	60	10	2	2	NUM
fcis-31663	60	11	this	this	DET
fcis-31663	60	12	indicator	indicator	NOUN
fcis-31663	60	13	mainly	mainly	ADV
fcis-31663	60	14	assesses	assess	VERB
fcis-31663	60	15	the	the	DET
fcis-31663	60	16	confidence	confidence	NOUN
fcis-31663	60	17	level	level	NOUN
fcis-31663	60	18	of	of	ADP
fcis-31663	60	19	the	the	DET
fcis-31663	60	20	prediction	prediction	NOUN
fcis-31663	60	21	results	result	NOUN
fcis-31663	60	22	;	;	PUNCT
fcis-31663	60	23	the	the	DET
fcis-31663	60	24	recall	recall	NOUN
fcis-31663	60	25	rate	rate	NOUN
fcis-31663	60	26	serves	serve	VERB
fcis-31663	60	27	as	as	ADP
fcis-31663	60	28	the	the	DET
fcis-31663	60	29	target	target	NOUN
fcis-31663	60	30	capture	capture	NOUN
fcis-31663	60	31	sensitivity	sensitivity	NOUN
fcis-31663	60	32	indicator	indicator	NOUN
fcis-31663	60	33	,	,	PUNCT
fcis-31663	60	34	effectively	effectively	ADV
fcis-31663	60	35	quantifying	quantify	VERB
fcis-31663	60	36	the	the	DET
fcis-31663	60	37	coverage	coverage	NOUN
fcis-31663	60	38	of	of	ADP
fcis-31663	60	39	the	the	DET
fcis-31663	60	40	correct	correct	ADJ
fcis-31663	60	41	identification	identification	NOUN
fcis-31663	60	42	of	of	ADP
fcis-31663	60	43	the	the	DET
fcis-31663	60	44	true	true	ADJ
fcis-31663	60	45	positive	positive	ADJ
fcis-31663	60	46	samples	sample	NOUN
fcis-31663	60	47	.	.	PUNCT
fcis-31663	61	1	its	its	PRON
fcis-31663	61	2	definition	definition	NOUN
fcis-31663	61	3	is	be	AUX
fcis-31663	61	4	:	:	PUNCT
fcis-31663	61	5	recall	recall	VERB
fcis-31663	61	6	tp	tp	ADP
fcis-31663	61	7	tp	tp	ADP
fcis-31663	61	8	fn	fn	PROPN
fcis-31663	61	9	3	3	NUM
fcis-31663	61	10	this	this	DET
fcis-31663	61	11	indicator	indicator	NOUN
fcis-31663	61	12	mainly	mainly	ADV
fcis-31663	61	13	reflects	reflect	VERB
fcis-31663	61	14	the	the	DET
fcis-31663	61	15	model	model	NOUN
fcis-31663	61	16	's	's	PART
fcis-31663	61	17	ability	ability	NOUN
fcis-31663	61	18	to	to	PART
fcis-31663	61	19	capture	capture	VERB
fcis-31663	61	20	key	key	ADJ
fcis-31663	61	21	targets	target	NOUN
fcis-31663	61	22	.	.	PUNCT
fcis-31663	62	1	all	all	DET
fcis-31663	62	2	three	three	NUM
fcis-31663	62	3	indicators	indicator	NOUN
fcis-31663	62	4	are	be	AUX
fcis-31663	62	5	measured	measure	VERB
fcis-31663	62	6	within	within	ADP
fcis-31663	62	7	the	the	DET
fcis-31663	62	8	standardized	standardized	ADJ
fcis-31663	62	9	100	100	NUM
fcis-31663	62	10	range	range	NOUN
fcis-31663	62	11	of	of	ADP
fcis-31663	62	12	[	[	X
fcis-31663	62	13	0	0	NUM
fcis-31663	62	14	,	,	PUNCT
fcis-31663	62	15	1	1	NUM
fcis-31663	62	16	]	]	PUNCT
fcis-31663	62	17	.	.	PUNCT
fcis-31663	63	1	the	the	PRON
fcis-31663	63	2	closer	close	ADV
fcis-31663	63	3	the	the	DET
fcis-31663	63	4	value	value	NOUN
fcis-31663	63	5	is	be	AUX
fcis-31663	63	6	to	to	ADP
fcis-31663	63	7	1	1	NUM
fcis-31663	63	8	,	,	PUNCT
fcis-31663	63	9	the	the	PRON
fcis-31663	63	10	more	more	ADV
fcis-31663	63	11	the	the	DET
fcis-31663	63	12	model	model	NOUN
fcis-31663	63	13	's	's	PART
fcis-31663	63	14	performance	performance	NOUN
fcis-31663	63	15	in	in	ADP
fcis-31663	63	16	this	this	DET
fcis-31663	63	17	evaluation	evaluation	NOUN
fcis-31663	63	18	dimension	dimension	NOUN
fcis-31663	63	19	approaches	approach	VERB
fcis-31663	63	20	the	the	DET
fcis-31663	63	21	theoretical	theoretical	ADJ
fcis-31663	63	22	optimal	optimal	ADJ
fcis-31663	63	23	value	value	NOUN
fcis-31663	63	24	.	.	PUNCT
fcis-31663	64	1	when	when	SCONJ
fcis-31663	64	2	the	the	DET
fcis-31663	64	3	three	three	NUM
fcis-31663	64	4	-	-	PUNCT
fcis-31663	64	5	dimensional	dimensional	ADJ
fcis-31663	64	6	indicators	indicator	NOUN
fcis-31663	64	7	achieve	achieve	VERB
fcis-31663	64	8	a	a	DET
fcis-31663	64	9	high	high	ADJ
fcis-31663	64	10	-	-	PUNCT
fcis-31663	64	11	level	level	NOUN
fcis-31663	64	12	coordinated	coordinate	VERB
fcis-31663	64	13	balance	balance	NOUN
fcis-31663	64	14	,	,	PUNCT
fcis-31663	64	15	the	the	DET
fcis-31663	64	16	model	model	NOUN
fcis-31663	64	17	will	will	AUX
fcis-31663	64	18	simultaneously	simultaneously	ADV
fcis-31663	64	19	exhibit	exhibit	VERB
fcis-31663	64	20	global	global	ADJ
fcis-31663	64	21	prediction	prediction	NOUN
fcis-31663	64	22	stability	stability	NOUN
fcis-31663	64	23	,	,	PUNCT
fcis-31663	64	24	precise	precise	ADJ
fcis-31663	64	25	identification	identification	NOUN
fcis-31663	64	26	ability	ability	NOUN
fcis-31663	64	27	of	of	ADP
fcis-31663	64	28	key	key	ADJ
fcis-31663	64	29	targets	target	NOUN
fcis-31663	64	30	,	,	PUNCT
fcis-31663	64	31	and	and	CCONJ
fcis-31663	64	32	strong	strong	ADJ
fcis-31663	64	33	capture	capture	NOUN
fcis-31663	64	34	efficiency	efficiency	NOUN
fcis-31663	64	35	of	of	ADP
fcis-31663	64	36	potential	potential	ADJ
fcis-31663	64	37	positive	positive	ADJ
fcis-31663	64	38	examples	example	NOUN
fcis-31663	64	39	,	,	PUNCT
fcis-31663	64	40	forming	form	VERB
fcis-31663	64	41	the	the	DET
fcis-31663	64	42	optimal	optimal	ADJ
fcis-31663	64	43	solution	solution	NOUN
fcis-31663	64	44	space	space	NOUN
fcis-31663	64	45	for	for	ADP
fcis-31663	64	46	the	the	DET
fcis-31663	64	47	prediction	prediction	NOUN
fcis-31663	64	48	effect	effect	NOUN
fcis-31663	64	49	.	.	PUNCT
fcis-31663	65	1	if	if	SCONJ
fcis-31663	65	2	any	any	PRON
fcis-31663	65	3	of	of	ADP
fcis-31663	65	4	the	the	DET
fcis-31663	65	5	dimension	dimension	NOUN
fcis-31663	65	6	indicators	indicator	NOUN
fcis-31663	65	7	deviate	deviate	VERB
fcis-31663	65	8	significantly	significantly	ADV
fcis-31663	65	9	,	,	PUNCT
fcis-31663	65	10	it	it	PRON
fcis-31663	65	11	indicates	indicate	VERB
fcis-31663	65	12	that	that	SCONJ
fcis-31663	65	13	the	the	DET
fcis-31663	65	14	model	model	NOUN
fcis-31663	65	15	has	have	VERB
fcis-31663	65	16	a	a	DET
fcis-31663	65	17	systematic	systematic	ADJ
fcis-31663	65	18	bias	bias	NOUN
fcis-31663	65	19	in	in	ADP
fcis-31663	65	20	this	this	DET
fcis-31663	65	21	evaluation	evaluation	NOUN
fcis-31663	65	22	dimension	dimension	NOUN
fcis-31663	65	23	,	,	PUNCT
fcis-31663	65	24	and	and	CCONJ
fcis-31663	65	25	it	it	PRON
fcis-31663	65	26	is	be	AUX
fcis-31663	65	27	necessary	necessary	ADJ
fcis-31663	65	28	to	to	PART
fcis-31663	65	29	optimize	optimize	VERB
fcis-31663	65	30	the	the	DET
fcis-31663	65	31	algorithm	algorithm	NOUN
fcis-31663	65	32	architecture	architecture	NOUN
fcis-31663	65	33	or	or	CCONJ
fcis-31663	65	34	adjust	adjust	VERB
fcis-31663	65	35	the	the	DET
fcis-31663	65	36	parameter	parameter	NOUN
fcis-31663	65	37	configuration	configuration	NOUN
fcis-31663	65	38	to	to	PART
fcis-31663	65	39	improve	improve	VERB
fcis-31663	65	40	the	the	DET
fcis-31663	65	41	overall	overall	ADJ
fcis-31663	65	42	prediction	prediction	NOUN
fcis-31663	65	43	efficiency	efficiency	NOUN
fcis-31663	65	44	.	.	PUNCT
fcis-31663	66	1	2.4	2.4	NUM
fcis-31663	66	2	.	.	PUNCT
fcis-31663	66	3	near	near	ADV
fcis-31663	66	4	-	-	PUNCT
fcis-31663	66	5	infrared	infrare	VERB
fcis-31663	66	6	spectroscopy	spectroscopy	NOUN
fcis-31663	66	7	preprocessing	preprocesse	VERB
fcis-31663	66	8	method	method	NOUN
fcis-31663	66	9	when	when	SCONJ
fcis-31663	66	10	establishing	establish	VERB
fcis-31663	66	11	a	a	DET
fcis-31663	66	12	model	model	NOUN
fcis-31663	66	13	using	use	VERB
fcis-31663	66	14	the	the	DET
fcis-31663	66	15	original	original	ADJ
fcis-31663	66	16	spectra	spectra	NOUN
fcis-31663	66	17	and	and	CCONJ
fcis-31663	66	18	the	the	DET
fcis-31663	66	19	soluble	soluble	ADJ
fcis-31663	66	20	solid	solid	ADJ
fcis-31663	66	21	content	content	NOUN
fcis-31663	66	22	(	(	PUNCT
fcis-31663	66	23	ssc	ssc	NOUN
fcis-31663	66	24	)	)	PUNCT
fcis-31663	66	25	values	value	NOUN
fcis-31663	66	26	,	,	PUNCT
fcis-31663	66	27	due	due	ADP
fcis-31663	66	28	to	to	ADP
fcis-31663	66	29	the	the	DET
fcis-31663	66	30	complexity	complexity	NOUN
fcis-31663	66	31	of	of	ADP
fcis-31663	66	32	the	the	DET
fcis-31663	66	33	spectral	spectral	ADJ
fcis-31663	66	34	data	datum	NOUN
fcis-31663	66	35	and	and	CCONJ
fcis-31663	66	36	the	the	DET
fcis-31663	66	37	interference	interference	NOUN
fcis-31663	66	38	of	of	ADP
fcis-31663	66	39	noise	noise	NOUN
fcis-31663	66	40	,	,	PUNCT
fcis-31663	66	41	the	the	DET
fcis-31663	66	42	prediction	prediction	NOUN
fcis-31663	66	43	accuracy	accuracy	NOUN
fcis-31663	66	44	of	of	ADP
fcis-31663	66	45	the	the	DET
fcis-31663	66	46	model	model	NOUN
fcis-31663	66	47	is	be	AUX
fcis-31663	66	48	relatively	relatively	ADV
fcis-31663	66	49	low	low	ADJ
fcis-31663	66	50	.	.	PUNCT
fcis-31663	67	1	to	to	PART
fcis-31663	67	2	improve	improve	VERB
fcis-31663	67	3	the	the	DET
fcis-31663	67	4	model	model	NOUN
fcis-31663	67	5	performance	performance	NOUN
fcis-31663	67	6	,	,	PUNCT
fcis-31663	67	7	the	the	DET
fcis-31663	67	8	near	near	ADV
fcis-31663	67	9	-	-	PUNCT
fcis-31663	67	10	infrared	infrared	ADJ
fcis-31663	67	11	spectral	spectral	ADJ
fcis-31663	67	12	data	datum	NOUN
fcis-31663	67	13	of	of	ADP
fcis-31663	67	14	kiwifruit	kiwifruit	NOUN
fcis-31663	67	15	is	be	AUX
fcis-31663	67	16	first	first	ADV
fcis-31663	67	17	preprocessed	preprocesse	VERB
fcis-31663	67	18	to	to	PART
fcis-31663	67	19	remove	remove	VERB
fcis-31663	67	20	noise	noise	NOUN
fcis-31663	67	21	,	,	PUNCT
fcis-31663	67	22	correct	correct	ADJ
fcis-31663	67	23	baseline	baseline	NOUN
fcis-31663	67	24	drift	drift	NOUN
fcis-31663	67	25	,	,	PUNCT
fcis-31663	67	26	and	and	CCONJ
fcis-31663	67	27	enhance	enhance	VERB
fcis-31663	67	28	spectral	spectral	ADJ
fcis-31663	67	29	features	feature	NOUN
fcis-31663	67	30	.	.	PUNCT
fcis-31663	68	1	the	the	DET
fcis-31663	68	2	preprocessed	preprocesse	VERB
fcis-31663	68	3	data	data	NOUN
fcis-31663	68	4	is	be	AUX
fcis-31663	68	5	then	then	ADV
fcis-31663	68	6	divided	divide	VERB
fcis-31663	68	7	into	into	ADP
fcis-31663	68	8	a	a	DET
fcis-31663	68	9	training	training	NOUN
fcis-31663	68	10	set	set	NOUN
fcis-31663	68	11	and	and	CCONJ
fcis-31663	68	12	a	a	DET
fcis-31663	68	13	prediction	prediction	NOUN
fcis-31663	68	14	set	set	VERB
fcis-31663	68	15	to	to	PART
fcis-31663	68	16	ensure	ensure	VERB
fcis-31663	68	17	that	that	SCONJ
fcis-31663	68	18	the	the	DET
fcis-31663	68	19	two	two	NUM
fcis-31663	68	20	sets	set	NOUN
fcis-31663	68	21	have	have	VERB
fcis-31663	68	22	consistent	consistent	ADJ
fcis-31663	68	23	representativeness	representativeness	ADJ
fcis-31663	68	24	in	in	ADP
fcis-31663	68	25	the	the	DET
fcis-31663	68	26	feature	feature	NOUN
fcis-31663	68	27	space	space	NOUN
fcis-31663	68	28	.	.	PUNCT
fcis-31663	69	1	finally	finally	ADV
fcis-31663	69	2	,	,	PUNCT
fcis-31663	69	3	feature	feature	NOUN
fcis-31663	69	4	wavelengths	wavelength	NOUN
fcis-31663	69	5	are	be	AUX
fcis-31663	69	6	extracted	extract	VERB
fcis-31663	69	7	to	to	PART
fcis-31663	69	8	select	select	VERB
fcis-31663	69	9	the	the	DET
fcis-31663	69	10	most	most	ADV
fcis-31663	69	11	contributing	contribute	VERB
fcis-31663	69	12	wavelengths	wavelength	NOUN
fcis-31663	69	13	for	for	ADP
fcis-31663	69	14	ssc	ssc	NOUN
fcis-31663	69	15	prediction	prediction	NOUN
fcis-31663	69	16	,	,	PUNCT
fcis-31663	69	17	thereby	thereby	ADV
fcis-31663	69	18	improving	improve	VERB
fcis-31663	69	19	the	the	DET
fcis-31663	69	20	prediction	prediction	NOUN
fcis-31663	69	21	accuracy	accuracy	NOUN
fcis-31663	69	22	and	and	CCONJ
fcis-31663	69	23	generalization	generalization	NOUN
fcis-31663	69	24	ability	ability	NOUN
fcis-31663	69	25	of	of	ADP
fcis-31663	69	26	the	the	DET
fcis-31663	69	27	model	model	NOUN
fcis-31663	69	28	.	.	PUNCT
fcis-31663	70	1	2.4.1	2.4.1	NUM
fcis-31663	70	2	.	.	PUNCT
fcis-31663	70	3	dataset	dataset	ADJ
fcis-31663	70	4	division	division	NOUN
fcis-31663	70	5	in	in	ADP
fcis-31663	70	6	order	order	NOUN
fcis-31663	70	7	to	to	PART
fcis-31663	70	8	effectively	effectively	ADV
fcis-31663	70	9	evaluate	evaluate	VERB
fcis-31663	70	10	the	the	DET
fcis-31663	70	11	generalization	generalization	NOUN
fcis-31663	70	12	performance	performance	NOUN
fcis-31663	70	13	of	of	ADP
fcis-31663	70	14	the	the	DET
fcis-31663	70	15	model	model	NOUN
fcis-31663	70	16	,	,	PUNCT
fcis-31663	70	17	this	this	DET
fcis-31663	70	18	study	study	NOUN
fcis-31663	70	19	employed	employ	VERB
fcis-31663	70	20	the	the	DET
fcis-31663	70	21	spxy	spxy	ADJ
fcis-31663	70	22	algorithm	algorithm	NOUN
fcis-31663	70	23	to	to	PART
fcis-31663	70	24	divide	divide	VERB
fcis-31663	70	25	the	the	DET
fcis-31663	70	26	dataset	dataset	NOUN
fcis-31663	70	27	.	.	PUNCT
fcis-31663	71	1	this	this	DET
fcis-31663	71	2	algorithm	algorithm	NOUN
fcis-31663	71	3	takes	take	VERB
fcis-31663	71	4	into	into	ADP
fcis-31663	71	5	account	account	NOUN
fcis-31663	71	6	the	the	DET
fcis-31663	71	7	distance	distance	NOUN
fcis-31663	71	8	between	between	ADP
fcis-31663	71	9	spectral	spectral	ADJ
fcis-31663	71	10	and	and	CCONJ
fcis-31663	71	11	physicochemical	physicochemical	ADJ
fcis-31663	71	12	values	value	NOUN
fcis-31663	71	13	,	,	PUNCT
fcis-31663	71	14	ensuring	ensure	VERB
fcis-31663	71	15	the	the	DET
fcis-31663	71	16	consistency	consistency	NOUN
fcis-31663	71	17	of	of	ADP
fcis-31663	71	18	the	the	DET
fcis-31663	71	19	distribution	distribution	NOUN
fcis-31663	71	20	of	of	ADP
fcis-31663	71	21	the	the	DET
fcis-31663	71	22	training	training	NOUN
fcis-31663	71	23	set	set	NOUN
fcis-31663	71	24	and	and	CCONJ
fcis-31663	71	25	the	the	DET
fcis-31663	71	26	test	test	NOUN
fcis-31663	71	27	set	set	NOUN
fcis-31663	71	28	.	.	PUNCT
fcis-31663	72	1	the	the	DET
fcis-31663	72	2	dataset	dataset	NOUN
fcis-31663	72	3	contains	contain	VERB
fcis-31663	72	4	234	234	NUM
fcis-31663	72	5	samples	sample	NOUN
fcis-31663	72	6	,	,	PUNCT
fcis-31663	72	7	which	which	PRON
fcis-31663	72	8	are	be	AUX
fcis-31663	72	9	divided	divide	VERB
fcis-31663	72	10	into	into	ADP
fcis-31663	72	11	a	a	DET
fcis-31663	72	12	training	training	NOUN
fcis-31663	72	13	set	set	NOUN
fcis-31663	72	14	and	and	CCONJ
fcis-31663	72	15	a	a	DET
fcis-31663	72	16	test	test	NOUN
fcis-31663	72	17	set	set	VERB
fcis-31663	72	18	in	in	ADP
fcis-31663	72	19	a	a	DET
fcis-31663	72	20	ratio	ratio	NOUN
fcis-31663	72	21	of	of	ADP
fcis-31663	72	22	60	60	NUM
fcis-31663	72	23	%	%	NOUN
fcis-31663	72	24	to	to	PART
fcis-31663	72	25	40	40	NUM
fcis-31663	72	26	%	%	NOUN
fcis-31663	72	27	.	.	PUNCT
fcis-31663	73	1	finally	finally	ADV
fcis-31663	73	2	,	,	PUNCT
fcis-31663	73	3	140	140	NUM
fcis-31663	73	4	training	training	NOUN
fcis-31663	73	5	samples	sample	NOUN
fcis-31663	73	6	and	and	CCONJ
fcis-31663	73	7	94	94	NUM
fcis-31663	73	8	test	test	NOUN
fcis-31663	73	9	samples	sample	NOUN
fcis-31663	73	10	were	be	AUX
fcis-31663	73	11	obtained	obtain	VERB
fcis-31663	73	12	.	.	PUNCT
fcis-31663	74	1	table1	table1	PROPN
fcis-31663	74	2	shows	show	VERB
fcis-31663	74	3	the	the	DET
fcis-31663	74	4	number	number	NOUN
fcis-31663	74	5	of	of	ADP
fcis-31663	74	6	samples	sample	NOUN
fcis-31663	74	7	of	of	ADP
fcis-31663	74	8	the	the	DET
fcis-31663	74	9	three	three	NUM
fcis-31663	74	10	categories	category	NOUN
fcis-31663	74	11	in	in	ADP
fcis-31663	74	12	the	the	DET
fcis-31663	74	13	test	test	NOUN
fcis-31663	74	14	set	set	VERB
fcis-31663	74	15	.	.	PUNCT
fcis-31663	75	1	table	table	NOUN
fcis-31663	75	2	1	1	NUM
fcis-31663	75	3	.	.	PUNCT
fcis-31663	76	1	classification	classification	NOUN
fcis-31663	76	2	situation	situation	NOUN
fcis-31663	76	3	of	of	ADP
fcis-31663	76	4	the	the	DET
fcis-31663	76	5	test	test	NOUN
fcis-31663	76	6	set	set	VERB
fcis-31663	76	7	after	after	ADP
fcis-31663	76	8	division	division	NOUN
fcis-31663	76	9	.	.	PUNCT
fcis-31663	77	1	sample	sample	NOUN
fcis-31663	77	2	category	category	NOUN
fcis-31663	77	3	type	type	NOUN
fcis-31663	77	4	i	i	PRON
fcis-31663	77	5	fruit	fruit	NOUN
fcis-31663	77	6	type	type	NOUN
fcis-31663	77	7	ii	ii	NOUN
fcis-31663	77	8	fruit	fruit	NOUN
fcis-31663	77	9	type	type	NOUN
fcis-31663	77	10	iii	iii	NUM
fcis-31663	77	11	fruit	fruit	NOUN
fcis-31663	77	12	spxy	spxy	NOUN
fcis-31663	77	13	32	32	NUM
fcis-31663	77	14	35	35	NUM
fcis-31663	77	15	27	27	NUM
fcis-31663	77	16	2.4.2	2.4.2	NUM
fcis-31663	77	17	.	.	PUNCT
fcis-31663	78	1	extraction	extraction	NOUN
fcis-31663	78	2	of	of	ADP
fcis-31663	78	3	characteristic	characteristic	ADJ
fcis-31663	78	4	wavelengths	wavelength	NOUN
fcis-31663	78	5	when	when	SCONJ
fcis-31663	78	6	using	use	VERB
fcis-31663	78	7	the	the	DET
fcis-31663	78	8	cars	car	NOUN
fcis-31663	78	9	algorithm	algorithm	NOUN
fcis-31663	78	10	for	for	ADP
fcis-31663	78	11	feature	feature	NOUN
fcis-31663	78	12	wavelength	wavelength	NOUN
fcis-31663	78	13	extraction	extraction	NOUN
fcis-31663	78	14	,	,	PUNCT
fcis-31663	78	15	the	the	DET
fcis-31663	78	16	optimal	optimal	ADJ
fcis-31663	78	17	feature	feature	NOUN
fcis-31663	78	18	wavelength	wavelength	NOUN
fcis-31663	78	19	combination	combination	NOUN
fcis-31663	78	20	was	be	AUX
fcis-31663	78	21	selected	select	VERB
fcis-31663	78	22	based	base	VERB
fcis-31663	78	23	on	on	ADP
fcis-31663	78	24	minimizing	minimize	VERB
fcis-31663	78	25	the	the	DET
fcis-31663	78	26	cross	cross	ADJ
fcis-31663	78	27	-	-	ADJ
fcis-31663	78	28	validation	validation	ADJ
fcis-31663	78	29	root	root	NOUN
fcis-31663	78	30	mean	mean	VERB
fcis-31663	78	31	square	square	NOUN
fcis-31663	78	32	error	error	NOUN
fcis-31663	78	33	(	(	PUNCT
fcis-31663	78	34	rmsecv	rmsecv	NOUN
fcis-31663	78	35	)	)	PUNCT
fcis-31663	78	36	.	.	PUNCT
fcis-31663	79	1	the	the	DET
fcis-31663	79	2	variation	variation	NOUN
fcis-31663	79	3	patterns	pattern	NOUN
fcis-31663	79	4	of	of	ADP
fcis-31663	79	5	the	the	DET
fcis-31663	79	6	number	number	NOUN
fcis-31663	79	7	of	of	ADP
fcis-31663	79	8	sampled	sampled	ADJ
fcis-31663	79	9	variables	variable	NOUN
fcis-31663	79	10	and	and	CCONJ
fcis-31663	79	11	the	the	DET
fcis-31663	79	12	number	number	NOUN
fcis-31663	79	13	of	of	ADP
fcis-31663	79	14	samplings	sampling	NOUN
fcis-31663	79	15	are	be	AUX
fcis-31663	79	16	shown	show	VERB
fcis-31663	79	17	in	in	ADP
fcis-31663	79	18	figure	figure	NOUN
fcis-31663	79	19	1	1	NUM
fcis-31663	79	20	,	,	PUNCT
fcis-31663	79	21	the	the	DET
fcis-31663	79	22	root	root	NOUN
fcis-31663	79	23	mean	mean	VERB
fcis-31663	79	24	square	square	ADJ
fcis-31663	79	25	error	error	NOUN
fcis-31663	79	26	values	value	NOUN
fcis-31663	79	27	are	be	AUX
fcis-31663	79	28	shown	show	VERB
fcis-31663	79	29	in	in	ADP
fcis-31663	79	30	figure	figure	NOUN
fcis-31663	79	31	2	2	NUM
fcis-31663	79	32	,	,	PUNCT
fcis-31663	79	33	and	and	CCONJ
fcis-31663	79	34	the	the	DET
fcis-31663	79	35	variation	variation	NOUN
fcis-31663	79	36	pattern	pattern	NOUN
fcis-31663	79	37	of	of	ADP
fcis-31663	79	38	the	the	DET
fcis-31663	79	39	number	number	NOUN
fcis-31663	79	40	of	of	ADP
fcis-31663	79	41	samplings	sampling	NOUN
fcis-31663	79	42	is	be	AUX
fcis-31663	79	43	shown	show	VERB
fcis-31663	79	44	in	in	ADP
fcis-31663	79	45	figure	figure	NOUN
fcis-31663	79	46	4	4	NUM
fcis-31663	79	47	.	.	PUNCT
fcis-31663	79	48	by	by	ADP
fcis-31663	79	49	comprehensively	comprehensively	ADV
fcis-31663	79	50	analyzing	analyze	VERB
fcis-31663	79	51	figures	figure	NOUN
fcis-31663	79	52	1	1	NUM
fcis-31663	79	53	and	and	CCONJ
fcis-31663	79	54	2	2	NUM
fcis-31663	79	55	,	,	PUNCT
fcis-31663	79	56	it	it	PRON
fcis-31663	79	57	can	can	AUX
fcis-31663	79	58	be	be	AUX
fcis-31663	79	59	found	find	VERB
fcis-31663	79	60	that	that	SCONJ
fcis-31663	79	61	the	the	DET
fcis-31663	79	62	rmsecv	rmsecv	NOUN
fcis-31663	79	63	of	of	ADP
fcis-31663	79	64	ssc	ssc	PROPN
fcis-31663	79	65	reaches	reach	VERB
fcis-31663	79	66	the	the	DET
fcis-31663	79	67	lowest	low	ADJ
fcis-31663	79	68	value	value	NOUN
fcis-31663	79	69	at	at	ADP
fcis-31663	79	70	the	the	DET
fcis-31663	79	71	58th	58th	ADJ
fcis-31663	79	72	sampling	sampling	NOUN
fcis-31663	79	73	,	,	PUNCT
fcis-31663	79	74	and	and	CCONJ
fcis-31663	79	75	the	the	DET
fcis-31663	79	76	optimal	optimal	ADJ
fcis-31663	79	77	variable	variable	NOUN
fcis-31663	79	78	set	set	VERB
fcis-31663	79	79	consists	consist	VERB
fcis-31663	79	80	of	of	ADP
fcis-31663	79	81	15	15	NUM
fcis-31663	79	82	feature	feature	NOUN
fcis-31663	79	83	variables	variable	NOUN
fcis-31663	79	84	.	.	PUNCT
fcis-31663	80	1	the	the	DET
fcis-31663	80	2	feature	feature	NOUN
fcis-31663	80	3	wavelengths	wavelength	NOUN
fcis-31663	80	4	extracted	extract	VERB
fcis-31663	80	5	by	by	ADP
fcis-31663	80	6	cars	car	NOUN
fcis-31663	80	7	are	be	AUX
fcis-31663	80	8	shown	show	VERB
fcis-31663	80	9	in	in	ADP
fcis-31663	80	10	table	table	NOUN
fcis-31663	80	11	2	2	NUM
fcis-31663	80	12	.	.	PUNCT
fcis-31663	80	13	figure	figure	NOUN
fcis-31663	80	14	1	1	NUM
fcis-31663	80	15	.	.	PUNCT
fcis-31663	81	1	changes	change	NOUN
fcis-31663	81	2	in	in	ADP
fcis-31663	81	3	the	the	DET
fcis-31663	81	4	number	number	NOUN
fcis-31663	81	5	of	of	ADP
fcis-31663	81	6	feature	feature	NOUN
fcis-31663	81	7	variables	variable	NOUN
fcis-31663	81	8	figure	figure	VERB
fcis-31663	81	9	2	2	NUM
fcis-31663	81	10	.	.	PUNCT
fcis-31663	81	11	rmse	rmse	PROPN
fcis-31663	81	12	changes	change	NOUN
fcis-31663	81	13	figure	figure	VERB
fcis-31663	81	14	3	3	NUM
fcis-31663	81	15	.	.	PUNCT
fcis-31663	82	1	regression	regression	NOUN
fcis-31663	82	2	coefficients	coefficient	NOUN
fcis-31663	82	3	figure	figure	VERB
fcis-31663	82	4	4	4	NUM
fcis-31663	82	5	.	.	PUNCT
fcis-31663	83	1	distribution	distribution	NOUN
fcis-31663	83	2	of	of	ADP
fcis-31663	83	3	feature	feature	NOUN
fcis-31663	83	4	wavelengths	wavelength	NOUN
fcis-31663	83	5	extracted	extract	VERB
fcis-31663	83	6	by	by	ADP
fcis-31663	83	7	cars	car	NOUN
fcis-31663	83	8	.	.	PUNCT
fcis-31663	84	1	101	101	NUM
fcis-31663	84	2	table	table	NOUN
fcis-31663	84	3	2	2	NUM
fcis-31663	84	4	.	.	PUNCT
fcis-31663	84	5	selection	selection	NOUN
fcis-31663	84	6	of	of	ADP
fcis-31663	84	7	characteristic	characteristic	ADJ
fcis-31663	84	8	variables	variable	NOUN
fcis-31663	84	9	.	.	PUNCT
fcis-31663	85	1	algorithm	algorithm	NOUN
fcis-31663	85	2	type	type	NOUN
fcis-31663	85	3	number	number	NOUN
fcis-31663	85	4	characteristic	characteristic	ADJ
fcis-31663	85	5	wavelength	wavelength	NOUN
fcis-31663	85	6	point	point	NOUN
fcis-31663	85	7	(	(	PUNCT
fcis-31663	85	8	nm	nm	NOUN
fcis-31663	85	9	)	)	PUNCT
fcis-31663	85	10	cars	car	NOUN
fcis-31663	85	11	15	15	NUM
fcis-31663	85	12	900,924.67,1114.98,1118.50,1213.66,1231.28	900,924.67,1114.98,1118.50,1213.66,1231.28	NOUN
fcis-31663	85	13	,	,	PUNCT
fcis-31663	85	14	1326.43,1340.53,1347.58,1414.53	1326.43,1340.53,1347.58,1414.53	NUM
fcis-31663	85	15	,	,	PUNCT
fcis-31663	85	16	1495.591516.74,1520.26,1654.18,1678.85	1495.591516.74,1520.26,1654.18,1678.85	NUM
fcis-31663	85	17	to	to	PART
fcis-31663	85	18	improve	improve	VERB
fcis-31663	85	19	the	the	DET
fcis-31663	85	20	accuracy	accuracy	NOUN
fcis-31663	85	21	of	of	ADP
fcis-31663	85	22	the	the	DET
fcis-31663	85	23	model	model	NOUN
fcis-31663	85	24	,	,	PUNCT
fcis-31663	85	25	in	in	ADP
fcis-31663	85	26	response	response	NOUN
fcis-31663	85	27	to	to	ADP
fcis-31663	85	28	the	the	DET
fcis-31663	85	29	differences	difference	NOUN
fcis-31663	85	30	and	and	CCONJ
fcis-31663	85	31	noise	noise	NOUN
fcis-31663	85	32	issues	issue	NOUN
fcis-31663	85	33	of	of	ADP
fcis-31663	85	34	spectral	spectral	ADJ
fcis-31663	85	35	data	datum	NOUN
fcis-31663	85	36	,	,	PUNCT
fcis-31663	85	37	this	this	DET
fcis-31663	85	38	study	study	NOUN
fcis-31663	85	39	employed	employ	VERB
fcis-31663	85	40	the	the	DET
fcis-31663	85	41	chemical	chemical	NOUN
fcis-31663	85	42	metrology	metrology	NOUN
fcis-31663	85	43	method	method	NOUN
fcis-31663	85	44	to	to	PART
fcis-31663	85	45	select	select	VERB
fcis-31663	85	46	appropriate	appropriate	ADJ
fcis-31663	85	47	feature	feature	NOUN
fcis-31663	85	48	wavelength	wavelength	NOUN
fcis-31663	85	49	extraction	extraction	NOUN
fcis-31663	85	50	methods	method	NOUN
fcis-31663	85	51	and	and	CCONJ
fcis-31663	85	52	data	datum	NOUN
fcis-31663	85	53	preprocessing	preprocesse	VERB
fcis-31663	85	54	algorithms	algorithm	NOUN
fcis-31663	85	55	.	.	PUNCT
fcis-31663	86	1	by	by	ADP
fcis-31663	86	2	constructing	construct	VERB
fcis-31663	86	3	the	the	DET
fcis-31663	86	4	pls	pls	PROPN
fcis-31663	86	5	-	-	PUNCT
fcis-31663	86	6	da	da	NOUN
fcis-31663	86	7	model	model	NOUN
fcis-31663	86	8	,	,	PUNCT
fcis-31663	86	9	the	the	DET
fcis-31663	86	10	accuracy	accuracy	NOUN
fcis-31663	86	11	rates	rate	NOUN
fcis-31663	86	12	of	of	ADP
fcis-31663	86	13	each	each	DET
fcis-31663	86	14	data	datum	NOUN
fcis-31663	86	15	preprocessing	preprocesse	VERB
fcis-31663	86	16	algorithm	algorithm	NOUN
fcis-31663	86	17	on	on	ADP
fcis-31663	86	18	the	the	DET
fcis-31663	86	19	test	test	NOUN
fcis-31663	86	20	set	set	NOUN
fcis-31663	86	21	were	be	AUX
fcis-31663	86	22	compared	compare	VERB
fcis-31663	86	23	,	,	PUNCT
fcis-31663	86	24	thereby	thereby	ADV
fcis-31663	86	25	determining	determine	VERB
fcis-31663	86	26	the	the	DET
fcis-31663	86	27	best	good	ADJ
fcis-31663	86	28	feature	feature	NOUN
fcis-31663	86	29	wavelength	wavelength	NOUN
fcis-31663	86	30	selection	selection	NOUN
fcis-31663	86	31	method	method	NOUN
fcis-31663	86	32	and	and	CCONJ
fcis-31663	86	33	preprocessing	preprocesse	VERB
fcis-31663	86	34	algorithm	algorithm	NOUN
fcis-31663	86	35	combination	combination	NOUN
fcis-31663	86	36	.	.	PUNCT
fcis-31663	87	1	the	the	DET
fcis-31663	87	2	accuracy	accuracy	NOUN
fcis-31663	87	3	rates	rate	NOUN
fcis-31663	87	4	of	of	ADP
fcis-31663	87	5	the	the	DET
fcis-31663	87	6	pls	pls	PROPN
fcis-31663	87	7	-	-	PUNCT
fcis-31663	87	8	da	da	NOUN
fcis-31663	87	9	models	model	NOUN
fcis-31663	87	10	processed	process	VERB
fcis-31663	87	11	by	by	ADP
fcis-31663	87	12	each	each	DET
fcis-31663	87	13	algorithm	algorithm	NOUN
fcis-31663	87	14	are	be	AUX
fcis-31663	87	15	detailed	detail	VERB
fcis-31663	87	16	in	in	ADP
fcis-31663	87	17	table	table	NOUN
fcis-31663	87	18	3	3	NUM
fcis-31663	87	19	.	.	PUNCT
fcis-31663	87	20	table	table	NOUN
fcis-31663	87	21	3	3	NUM
fcis-31663	87	22	.	.	PUNCT
fcis-31663	88	1	the	the	DET
fcis-31663	88	2	impact	impact	NOUN
fcis-31663	88	3	of	of	ADP
fcis-31663	88	4	different	different	ADJ
fcis-31663	88	5	data	datum	NOUN
fcis-31663	88	6	preprocessing	preprocesse	VERB
fcis-31663	88	7	methods	method	NOUN
fcis-31663	88	8	on	on	ADP
fcis-31663	88	9	model	model	NOUN
fcis-31663	88	10	performance	performance	NOUN
fcis-31663	88	11	.	.	PUNCT
fcis-31663	89	1	data	datum	NOUN
fcis-31663	89	2	preprocessing	preprocesse	VERB
fcis-31663	89	3	data	datum	NOUN
fcis-31663	89	4	set	set	VERB
fcis-31663	89	5	division	division	NOUN
fcis-31663	89	6	model	model	NOUN
fcis-31663	89	7	selection	selection	NOUN
fcis-31663	89	8	accuracy	accuracy	NOUN
fcis-31663	89	9	rate	rate	NOUN
fcis-31663	89	10	original	original	ADJ
fcis-31663	89	11	spectrum	spectrum	NOUN
fcis-31663	89	12	spxy	spxy	NOUN
fcis-31663	89	13	pls_da	pls_da	VERB
fcis-31663	89	14	0.8036	0.8036	NUM
fcis-31663	89	15	sg	sg	ADP
fcis-31663	89	16	spxy	spxy	NOUN
fcis-31663	89	17	pls_da	pls_da	X
fcis-31663	90	1	0.8519	0.8519	NUM
fcis-31663	90	2	sg+cars	sg+car	NOUN
fcis-31663	90	3	spxy	spxy	NOUN
fcis-31663	90	4	pls_da	pls_da	X
fcis-31663	90	5	0.8704	0.8704	NUM
fcis-31663	90	6	msc	msc	PROPN
fcis-31663	90	7	spxy	spxy	PROPN
fcis-31663	90	8	pls_da	pls_da	X
fcis-31663	91	1	0.7407	0.7407	NUM
fcis-31663	91	2	msc+cars	msc+car	NOUN
fcis-31663	91	3	spxy	spxy	VERB
fcis-31663	91	4	pls_da	pls_da	X
fcis-31663	91	5	0.7962	0.7962	NUM
fcis-31663	91	6	ct	ct	NUM
fcis-31663	91	7	spxy	spxy	NOUN
fcis-31663	91	8	pls_da	pls_da	X
fcis-31663	92	1	0.8148	0.8148	NUM
fcis-31663	92	2	ct+cars	ct+car	NOUN
fcis-31663	92	3	spxy	spxy	VERB
fcis-31663	92	4	pls_da	pls_da	NOUN
fcis-31663	92	5	0.8333	0.8333	NUM
fcis-31663	92	6	after	after	ADP
fcis-31663	92	7	comparison	comparison	NOUN
fcis-31663	92	8	,	,	PUNCT
fcis-31663	92	9	among	among	ADP
fcis-31663	92	10	the	the	DET
fcis-31663	92	11	three	three	NUM
fcis-31663	92	12	preprocessing	preprocessing	NOUN
fcis-31663	92	13	algorithms	algorithm	NOUN
fcis-31663	92	14	and	and	CCONJ
fcis-31663	92	15	the	the	DET
fcis-31663	92	16	two	two	NUM
fcis-31663	92	17	feature	feature	NOUN
fcis-31663	92	18	wavelength	wavelength	NOUN
fcis-31663	92	19	selection	selection	NOUN
fcis-31663	92	20	algorithms	algorithm	NOUN
fcis-31663	92	21	,	,	PUNCT
fcis-31663	92	22	the	the	DET
fcis-31663	92	23	pls	pls	PROPN
fcis-31663	92	24	-	-	PUNCT
fcis-31663	92	25	da	da	NOUN
fcis-31663	92	26	model	model	NOUN
fcis-31663	92	27	established	establish	VERB
fcis-31663	92	28	by	by	ADP
fcis-31663	92	29	the	the	DET
fcis-31663	92	30	algorithm	algorithm	NOUN
fcis-31663	92	31	combination	combination	NOUN
fcis-31663	92	32	of	of	ADP
fcis-31663	92	33	sg+cars	sg+car	NOUN
fcis-31663	92	34	has	have	VERB
fcis-31663	92	35	the	the	DET
fcis-31663	92	36	highest	high	ADJ
fcis-31663	92	37	classification	classification	NOUN
fcis-31663	92	38	accuracy	accuracy	NOUN
fcis-31663	92	39	and	and	CCONJ
fcis-31663	92	40	the	the	DET
fcis-31663	92	41	best	good	ADJ
fcis-31663	92	42	effect	effect	NOUN
fcis-31663	92	43	,	,	PUNCT
fcis-31663	92	44	reaching	reach	VERB
fcis-31663	92	45	0.8704	0.8704	NUM
fcis-31663	92	46	,	,	PUNCT
fcis-31663	92	47	which	which	PRON
fcis-31663	92	48	is	be	AUX
fcis-31663	92	49	superior	superior	ADJ
fcis-31663	92	50	to	to	ADP
fcis-31663	92	51	other	other	ADJ
fcis-31663	92	52	preprocessing	preprocessing	NOUN
fcis-31663	92	53	methods	method	NOUN
fcis-31663	92	54	.	.	PUNCT
fcis-31663	93	1	therefore	therefore	ADV
fcis-31663	93	2	,	,	PUNCT
fcis-31663	93	3	the	the	DET
fcis-31663	93	4	sg+cars	sg+car	NOUN
fcis-31663	93	5	preprocessing	preprocesse	VERB
fcis-31663	93	6	combination	combination	NOUN
fcis-31663	93	7	was	be	AUX
fcis-31663	93	8	ultimately	ultimately	ADV
fcis-31663	93	9	selected	select	VERB
fcis-31663	93	10	.	.	PUNCT
fcis-31663	94	1	3	3	X
fcis-31663	94	2	.	.	X
fcis-31663	94	3	construction	construction	NOUN
fcis-31663	94	4	of	of	ADP
fcis-31663	94	5	the	the	DET
fcis-31663	94	6	prediction	prediction	NOUN
fcis-31663	94	7	model	model	NOUN
fcis-31663	94	8	3.1	3.1	NUM
fcis-31663	94	9	.	.	PUNCT
fcis-31663	95	1	lstm	lstm	NOUN
fcis-31663	95	2	this	this	DET
fcis-31663	95	3	study	study	NOUN
fcis-31663	95	4	constructed	construct	VERB
fcis-31663	95	5	an	an	DET
fcis-31663	95	6	lstm	lstm	ADJ
fcis-31663	95	7	three	three	NUM
fcis-31663	95	8	-	-	PUNCT
fcis-31663	95	9	classification	classification	NOUN
fcis-31663	95	10	model	model	NOUN
fcis-31663	95	11	for	for	ADP
fcis-31663	95	12	spectral	spectral	ADJ
fcis-31663	95	13	data	datum	NOUN
fcis-31663	95	14	analysis	analysis	NOUN
fcis-31663	95	15	of	of	ADP
fcis-31663	95	16	kiwifruit	kiwifruit	NOUN
fcis-31663	95	17	.	.	PUNCT
fcis-31663	96	1	the	the	DET
fcis-31663	96	2	model	model	NOUN
fcis-31663	96	3	structure	structure	NOUN
fcis-31663	96	4	consists	consist	VERB
fcis-31663	96	5	of	of	ADP
fcis-31663	96	6	an	an	DET
fcis-31663	96	7	input	input	NOUN
fcis-31663	96	8	layer	layer	NOUN
fcis-31663	96	9	,	,	PUNCT
fcis-31663	96	10	an	an	DET
fcis-31663	96	11	lstm	lstm	ADJ
fcis-31663	96	12	layer	layer	NOUN
fcis-31663	96	13	(	(	PUNCT
fcis-31663	96	14	with	with	ADP
fcis-31663	96	15	64	64	NUM
fcis-31663	96	16	hidden	hide	VERB
fcis-31663	96	17	units	unit	NOUN
fcis-31663	96	18	and	and	CCONJ
fcis-31663	96	19	relu	relu	NOUN
fcis-31663	96	20	activation	activation	NOUN
fcis-31663	96	21	function	function	NOUN
fcis-31663	96	22	)	)	PUNCT
fcis-31663	96	23	,	,	PUNCT
fcis-31663	96	24	a	a	DET
fcis-31663	96	25	dropout	dropout	NOUN
fcis-31663	96	26	layer	layer	NOUN
fcis-31663	96	27	with	with	ADP
fcis-31663	96	28	a	a	DET
fcis-31663	96	29	dropout	dropout	NOUN
fcis-31663	96	30	rate	rate	NOUN
fcis-31663	96	31	of	of	ADP
fcis-31663	96	32	0.25	0.25	NUM
fcis-31663	96	33	,	,	PUNCT
fcis-31663	96	34	a	a	DET
fcis-31663	96	35	fully	fully	ADV
fcis-31663	96	36	connected	connect	VERB
fcis-31663	96	37	layer	layer	NOUN
fcis-31663	96	38	with	with	ADP
fcis-31663	96	39	an	an	DET
fcis-31663	96	40	output	output	NOUN
fcis-31663	96	41	dimension	dimension	NOUN
fcis-31663	96	42	of	of	ADP
fcis-31663	96	43	3	3	NUM
fcis-31663	96	44	,	,	PUNCT
fcis-31663	96	45	and	and	CCONJ
fcis-31663	96	46	an	an	DET
fcis-31663	96	47	output	output	NOUN
fcis-31663	96	48	layer	layer	NOUN
fcis-31663	96	49	.	.	PUNCT
fcis-31663	97	1	the	the	DET
fcis-31663	97	2	model	model	NOUN
fcis-31663	97	3	uses	use	VERB
fcis-31663	97	4	the	the	DET
fcis-31663	97	5	crossentropy	crossentropy	NOUN
fcis-31663	97	6	loss	loss	NOUN
fcis-31663	97	7	function	function	NOUN
fcis-31663	97	8	in	in	ADP
fcis-31663	97	9	pytorch	pytorch	NOUN
fcis-31663	97	10	to	to	PART
fcis-31663	97	11	achieve	achieve	VERB
fcis-31663	97	12	multiclassification	multiclassification	NOUN
fcis-31663	97	13	.	.	PUNCT
fcis-31663	98	1	during	during	ADP
fcis-31663	98	2	training	training	NOUN
fcis-31663	98	3	,	,	PUNCT
fcis-31663	98	4	the	the	DET
fcis-31663	98	5	batch	batch	NOUN
fcis-31663	98	6	size	size	NOUN
fcis-31663	98	7	is	be	AUX
fcis-31663	98	8	32	32	NUM
fcis-31663	98	9	,	,	PUNCT
fcis-31663	98	10	the	the	DET
fcis-31663	98	11	number	number	NOUN
fcis-31663	98	12	of	of	ADP
fcis-31663	98	13	iterations	iteration	NOUN
fcis-31663	98	14	is	be	AUX
fcis-31663	98	15	500	500	NUM
fcis-31663	98	16	,	,	PUNCT
fcis-31663	98	17	the	the	DET
fcis-31663	98	18	initial	initial	ADJ
fcis-31663	98	19	learning	learning	NOUN
fcis-31663	98	20	rate	rate	NOUN
fcis-31663	98	21	is	be	AUX
fcis-31663	98	22	0.001	0.001	NUM
fcis-31663	98	23	,	,	PUNCT
fcis-31663	98	24	the	the	DET
fcis-31663	98	25	learning	learn	VERB
fcis-31663	98	26	rate	rate	NOUN
fcis-31663	98	27	decay	decay	NOUN
fcis-31663	98	28	factor	factor	NOUN
fcis-31663	98	29	is	be	AUX
fcis-31663	98	30	0.0005	0.0005	NUM
fcis-31663	98	31	,	,	PUNCT
fcis-31663	98	32	and	and	CCONJ
fcis-31663	98	33	the	the	DET
fcis-31663	98	34	minimum	minimum	ADJ
fcis-31663	98	35	learning	learning	NOUN
fcis-31663	98	36	rate	rate	NOUN
fcis-31663	98	37	is	be	AUX
fcis-31663	98	38	set	set	VERB
fcis-31663	98	39	to	to	ADP
fcis-31663	98	40	1e-6	1e-6	PROPN
fcis-31663	98	41	.	.	PUNCT
fcis-31663	99	1	if	if	SCONJ
fcis-31663	99	2	the	the	DET
fcis-31663	99	3	model	model	NOUN
fcis-31663	99	4	's	's	PART
fcis-31663	99	5	performance	performance	NOUN
fcis-31663	99	6	does	do	AUX
fcis-31663	99	7	not	not	PART
fcis-31663	99	8	improve	improve	VERB
fcis-31663	99	9	for	for	ADP
fcis-31663	99	10	20	20	NUM
fcis-31663	99	11	consecutive	consecutive	ADJ
fcis-31663	99	12	iterations	iteration	NOUN
fcis-31663	99	13	,	,	PUNCT
fcis-31663	99	14	the	the	DET
fcis-31663	99	15	learning	learning	NOUN
fcis-31663	99	16	rate	rate	NOUN
fcis-31663	99	17	will	will	AUX
fcis-31663	99	18	be	be	AUX
fcis-31663	99	19	decayed	decay	VERB
fcis-31663	99	20	.	.	PUNCT
fcis-31663	100	1	the	the	DET
fcis-31663	100	2	model	model	NOUN
fcis-31663	100	3	structure	structure	NOUN
fcis-31663	100	4	is	be	AUX
fcis-31663	100	5	shown	show	VERB
fcis-31663	100	6	in	in	ADP
fcis-31663	100	7	figure	figure	NOUN
fcis-31663	100	8	5	5	NUM
fcis-31663	100	9	.	.	PUNCT
fcis-31663	100	10	figure	figure	NOUN
fcis-31663	100	11	5	5	NUM
fcis-31663	100	12	.	.	PUNCT
fcis-31663	100	13	structure	structure	NOUN
fcis-31663	100	14	diagram	diagram	NOUN
fcis-31663	100	15	of	of	ADP
fcis-31663	100	16	lstm	lstm	PROPN
fcis-31663	100	17	model	model	NOUN
fcis-31663	100	18	after	after	SCONJ
fcis-31663	100	19	the	the	DET
fcis-31663	100	20	sg+cars	sg+cars	PROPN
fcis-31663	100	21	preprocessing	preprocesse	VERB
fcis-31663	100	22	,	,	PUNCT
fcis-31663	100	23	the	the	DET
fcis-31663	100	24	performance	performance	NOUN
fcis-31663	100	25	indicators	indicator	NOUN
fcis-31663	100	26	of	of	ADP
fcis-31663	100	27	the	the	DET
fcis-31663	100	28	lstm	lstm	PROPN
fcis-31663	100	29	model	model	NOUN
fcis-31663	100	30	have	have	AUX
fcis-31663	100	31	significantly	significantly	ADV
fcis-31663	100	32	improved	improve	VERB
fcis-31663	100	33	.	.	PUNCT
fcis-31663	101	1	all	all	DET
fcis-31663	101	2	evaluation	evaluation	NOUN
fcis-31663	101	3	indicators	indicator	NOUN
fcis-31663	101	4	show	show	VERB
fcis-31663	101	5	that	that	SCONJ
fcis-31663	101	6	the	the	DET
fcis-31663	101	7	lstm	lstm	PROPN
fcis-31663	101	8	model	model	NOUN
fcis-31663	101	9	has	have	AUX
fcis-31663	101	10	achieved	achieve	VERB
fcis-31663	101	11	a	a	DET
fcis-31663	101	12	relatively	relatively	ADV
fcis-31663	101	13	ideal	ideal	ADJ
fcis-31663	101	14	classification	classification	NOUN
fcis-31663	101	15	effect	effect	NOUN
fcis-31663	101	16	in	in	ADP
fcis-31663	101	17	the	the	DET
fcis-31663	101	18	kiwi	kiwi	NOUN
fcis-31663	101	19	fruit	fruit	NOUN
fcis-31663	101	20	spectral	spectral	ADJ
fcis-31663	101	21	classification	classification	NOUN
fcis-31663	101	22	task	task	NOUN
fcis-31663	101	23	.	.	PUNCT
fcis-31663	102	1	the	the	DET
fcis-31663	102	2	accuracy	accuracy	NOUN
fcis-31663	102	3	rate	rate	NOUN
fcis-31663	102	4	is	be	AUX
fcis-31663	102	5	0.9149	0.9149	NUM
fcis-31663	102	6	,	,	PUNCT
fcis-31663	102	7	the	the	DET
fcis-31663	102	8	precision	precision	NOUN
fcis-31663	102	9	rate	rate	NOUN
fcis-31663	102	10	is	be	AUX
fcis-31663	102	11	0.9130	0.9130	NUM
fcis-31663	102	12	,	,	PUNCT
fcis-31663	102	13	the	the	DET
fcis-31663	102	14	recall	recall	NOUN
fcis-31663	102	15	rate	rate	NOUN
fcis-31663	102	16	is	be	AUX
fcis-31663	102	17	0.9146	0.9146	NUM
fcis-31663	102	18	,	,	PUNCT
fcis-31663	102	19	and	and	CCONJ
fcis-31663	102	20	the	the	DET
fcis-31663	102	21	f1	f1	NOUN
fcis-31663	102	22	value	value	NOUN
fcis-31663	102	23	is	be	AUX
fcis-31663	102	24	0.9144	0.9144	NUM
fcis-31663	102	25	.	.	PUNCT
fcis-31663	103	1	during	during	ADP
fcis-31663	103	2	the	the	DET
fcis-31663	103	3	model	model	NOUN
fcis-31663	103	4	training	training	NOUN
fcis-31663	103	5	process	process	NOUN
fcis-31663	103	6	,	,	PUNCT
fcis-31663	103	7	an	an	DET
fcis-31663	103	8	early	early	ADJ
fcis-31663	103	9	stopping	stopping	NOUN
fcis-31663	103	10	strategy	strategy	NOUN
fcis-31663	103	11	was	be	AUX
fcis-31663	103	12	introduced	introduce	VERB
fcis-31663	103	13	.	.	PUNCT
fcis-31663	104	1	when	when	SCONJ
fcis-31663	104	2	the	the	DET
fcis-31663	104	3	performance	performance	NOUN
fcis-31663	104	4	on	on	ADP
fcis-31663	104	5	the	the	DET
fcis-31663	104	6	training	training	NOUN
fcis-31663	104	7	set	set	NOUN
fcis-31663	104	8	reached	reach	VERB
fcis-31663	104	9	the	the	DET
fcis-31663	104	10	preset	preset	ADJ
fcis-31663	104	11	threshold	threshold	NOUN
fcis-31663	104	12	,	,	PUNCT
fcis-31663	104	13	the	the	DET
fcis-31663	104	14	training	training	NOUN
fcis-31663	104	15	was	be	AUX
fcis-31663	104	16	automatically	automatically	ADV
fcis-31663	104	17	stopped	stop	VERB
fcis-31663	104	18	,	,	PUNCT
fcis-31663	104	19	effectively	effectively	ADV
fcis-31663	104	20	avoiding	avoid	VERB
fcis-31663	104	21	the	the	DET
fcis-31663	104	22	problems	problem	NOUN
fcis-31663	104	23	of	of	ADP
fcis-31663	104	24	overfitting	overfitte	VERB
fcis-31663	104	25	or	or	CCONJ
fcis-31663	104	26	underfitting	underfitting	NOUN
fcis-31663	104	27	of	of	ADP
fcis-31663	104	28	the	the	DET
fcis-31663	104	29	model	model	NOUN
fcis-31663	104	30	.	.	PUNCT
fcis-31663	105	1	the	the	DET
fcis-31663	105	2	specific	specific	ADJ
fcis-31663	105	3	model	model	NOUN
fcis-31663	105	4	parameters	parameter	NOUN
fcis-31663	105	5	and	and	CCONJ
fcis-31663	105	6	performance	performance	NOUN
fcis-31663	105	7	results	result	NOUN
fcis-31663	105	8	are	be	AUX
fcis-31663	105	9	shown	show	VERB
fcis-31663	105	10	in	in	ADP
fcis-31663	105	11	table	table	NOUN
fcis-31663	105	12	4	4	NUM
fcis-31663	105	13	.	.	PUNCT
fcis-31663	105	14	table	table	NOUN
fcis-31663	105	15	4	4	NUM
fcis-31663	105	16	.	.	PUNCT
fcis-31663	105	17	lstm	lstm	PROPN
fcis-31663	105	18	model	model	NOUN
fcis-31663	105	19	parameters	parameter	NOUN
fcis-31663	105	20	and	and	CCONJ
fcis-31663	105	21	performance	performance	NOUN
fcis-31663	105	22	.	.	PUNCT
fcis-31663	106	1	model	model	NOUN
fcis-31663	106	2	name	name	NOUN
fcis-31663	106	3	batch	batch	NOUN
fcis-31663	106	4	size	size	NOUN
fcis-31663	106	5	number	number	NOUN
fcis-31663	106	6	of	of	ADP
fcis-31663	106	7	iterations	iteration	NOUN
fcis-31663	106	8	optimizer	optimizer	NOUN
fcis-31663	106	9	dropout	dropout	NOUN
fcis-31663	106	10	accuracy	accuracy	NOUN
fcis-31663	106	11	rate	rate	NOUN
fcis-31663	106	12	precision	precision	NOUN
fcis-31663	106	13	recall	recall	NOUN
fcis-31663	106	14	rate	rate	NOUN
fcis-31663	106	15	f1	f1	PROPN
fcis-31663	106	16	score	score	NOUN
fcis-31663	106	17	lstm	lstm	NOUN
fcis-31663	106	18	32	32	NUM
fcis-31663	106	19	500	500	NUM
fcis-31663	106	20	relu	relu	NOUN
fcis-31663	106	21	0.25	0.25	NUM
fcis-31663	106	22	0.9149	0.9149	NUM
fcis-31663	106	23	0.9139	0.9139	NUM
fcis-31663	106	24	0.9161	0.9161	NUM
fcis-31663	106	25	0.9144	0.9144	NUM
fcis-31663	106	26	the	the	DET
fcis-31663	106	27	scatter	scatter	NOUN
fcis-31663	106	28	plot	plot	NOUN
fcis-31663	106	29	showing	show	VERB
fcis-31663	106	30	the	the	DET
fcis-31663	106	31	classification	classification	NOUN
fcis-31663	106	32	of	of	ADP
fcis-31663	106	33	apple	apple	PROPN
fcis-31663	106	34	spectral	spectral	ADJ
fcis-31663	106	35	data	datum	NOUN
fcis-31663	106	36	by	by	ADP
fcis-31663	106	37	the	the	DET
fcis-31663	106	38	lstm	lstm	PROPN
fcis-31663	106	39	classification	classification	NOUN
fcis-31663	106	40	model	model	NOUN
fcis-31663	106	41	based	base	VERB
fcis-31663	106	42	on	on	ADP
fcis-31663	106	43	ssc	ssc	NOUN
fcis-31663	106	44	content	content	NOUN
fcis-31663	106	45	is	be	AUX
fcis-31663	106	46	shown	show	VERB
fcis-31663	106	47	in	in	ADP
fcis-31663	106	48	figure	figure	NOUN
fcis-31663	106	49	6	6	NUM
fcis-31663	106	50	,	,	PUNCT
fcis-31663	106	51	the	the	DET
fcis-31663	106	52	confusion	confusion	NOUN
fcis-31663	106	53	matrix	matrix	NOUN
fcis-31663	106	54	is	be	AUX
fcis-31663	106	55	presented	present	VERB
fcis-31663	106	56	in	in	ADP
fcis-31663	106	57	the	the	DET
fcis-31663	106	58	table	table	NOUN
fcis-31663	106	59	5	5	NUM
fcis-31663	106	60	.	.	NOUN
fcis-31663	106	61	3.2	3.2	NUM
fcis-31663	106	62	.	.	PUNCT
fcis-31663	107	1	bilstm	bilstm	NOUN
fcis-31663	107	2	this	this	DET
fcis-31663	107	3	study	study	NOUN
fcis-31663	107	4	further	far	ADV
fcis-31663	107	5	incorporates	incorporate	VERB
fcis-31663	107	6	bidirectional	bidirectional	ADJ
fcis-31663	107	7	long	long	ADJ
fcis-31663	107	8	shortterm	shortterm	NOUN
fcis-31663	107	9	memory	memory	NOUN
fcis-31663	107	10	(	(	PUNCT
fcis-31663	107	11	bilstm	bilstm	NOUN
fcis-31663	107	12	)	)	PUNCT
fcis-31663	107	13	on	on	ADP
fcis-31663	107	14	the	the	DET
fcis-31663	107	15	basis	basis	NOUN
fcis-31663	107	16	of	of	ADP
fcis-31663	107	17	the	the	DET
fcis-31663	107	18	lstm	lstm	PROPN
fcis-31663	107	19	model	model	NOUN
fcis-31663	107	20	.	.	PUNCT
fcis-31663	108	1	bilstm	bilstm	NOUN
fcis-31663	108	2	is	be	AUX
fcis-31663	108	3	a	a	DET
fcis-31663	108	4	special	special	ADJ
fcis-31663	108	5	type	type	NOUN
fcis-31663	108	6	of	of	ADP
fcis-31663	108	7	recurrent	recurrent	ADJ
fcis-31663	108	8	neural	neural	ADJ
fcis-31663	108	9	network	network	NOUN
fcis-31663	108	10	(	(	PUNCT
fcis-31663	108	11	rnn	rnn	PROPN
fcis-31663	108	12	)	)	PUNCT
fcis-31663	108	13	that	that	PRON
fcis-31663	108	14	can	can	AUX
fcis-31663	108	15	simultaneously	simultaneously	ADV
fcis-31663	108	16	capture	capture	VERB
fcis-31663	108	17	the	the	DET
fcis-31663	108	18	context	context	NOUN
fcis-31663	108	19	information	information	NOUN
fcis-31663	108	20	both	both	CCONJ
fcis-31663	108	21	before	before	ADP
fcis-31663	108	22	and	and	CCONJ
fcis-31663	108	23	after	after	ADP
fcis-31663	108	24	the	the	DET
fcis-31663	108	25	sequence	sequence	NOUN
fcis-31663	108	26	data[5	data[5	NOUN
fcis-31663	108	27	]	]	PUNCT
fcis-31663	108	28	.	.	PUNCT
fcis-31663	109	1	unlike	unlike	ADP
fcis-31663	109	2	the	the	DET
fcis-31663	109	3	traditional	traditional	ADJ
fcis-31663	109	4	unidirectional	unidirectional	ADJ
fcis-31663	109	5	lstm	lstm	NOUN
fcis-31663	109	6	,	,	PUNCT
fcis-31663	109	7	bilstm	bilstm	NOUN
fcis-31663	109	8	consists	consist	VERB
fcis-31663	109	9	of	of	ADP
fcis-31663	109	10	two	two	NUM
fcis-31663	109	11	oppositedirectional	oppositedirectional	ADJ
fcis-31663	109	12	lstm	lstm	ADJ
fcis-31663	109	13	layers	layer	NOUN
fcis-31663	109	14	.	.	PUNCT
fcis-31663	110	1	one	one	NUM
fcis-31663	110	2	processes	process	VERB
fcis-31663	110	3	information	information	NOUN
fcis-31663	110	4	from	from	ADP
fcis-31663	110	5	the	the	DET
fcis-31663	110	6	starting	starting	NOUN
fcis-31663	110	7	position	position	NOUN
fcis-31663	110	8	to	to	ADP
fcis-31663	110	9	the	the	DET
fcis-31663	110	10	end	end	NOUN
fcis-31663	110	11	point	point	NOUN
fcis-31663	110	12	in	in	ADP
fcis-31663	110	13	a	a	DET
fcis-31663	110	14	forward	forward	ADJ
fcis-31663	110	15	manner	manner	NOUN
fcis-31663	110	16	,	,	PUNCT
fcis-31663	110	17	while	while	SCONJ
fcis-31663	110	18	the	the	DET
fcis-31663	110	19	other	other	ADJ
fcis-31663	110	20	processes	process	VERB
fcis-31663	110	21	information	information	NOUN
fcis-31663	110	22	from	from	ADP
fcis-31663	110	23	the	the	DET
fcis-31663	110	24	end	end	NOUN
fcis-31663	110	25	point	point	NOUN
fcis-31663	110	26	to	to	ADP
fcis-31663	110	27	the	the	DET
fcis-31663	110	28	starting	starting	NOUN
fcis-31663	110	29	position	position	NOUN
fcis-31663	110	30	in	in	ADP
fcis-31663	110	31	a	a	DET
fcis-31663	110	32	backward	backward	ADJ
fcis-31663	110	33	manner	manner	NOUN
fcis-31663	110	34	.	.	PUNCT
fcis-31663	111	1	these	these	DET
fcis-31663	111	2	two	two	NUM
fcis-31663	111	3	directions	direction	NOUN
fcis-31663	111	4	'	'	PART
fcis-31663	111	5	lstm	lstm	NOUN
fcis-31663	111	6	layers	layer	NOUN
fcis-31663	111	7	independently	independently	ADV
fcis-31663	111	8	extract	extract	VERB
fcis-31663	111	9	features	feature	NOUN
fcis-31663	111	10	and	and	CCONJ
fcis-31663	111	11	then	then	ADV
fcis-31663	111	12	fuse	fuse	VERB
fcis-31663	111	13	102	102	NUM
fcis-31663	111	14	them	they	PRON
fcis-31663	111	15	through	through	ADP
fcis-31663	111	16	concatenation	concatenation	NOUN
fcis-31663	111	17	or	or	CCONJ
fcis-31663	111	18	summation	summation	NOUN
fcis-31663	111	19	at	at	ADP
fcis-31663	111	20	each	each	DET
fcis-31663	111	21	time	time	NOUN
fcis-31663	111	22	step	step	NOUN
fcis-31663	111	23	to	to	PART
fcis-31663	111	24	better	well	ADV
fcis-31663	111	25	utilize	utilize	VERB
fcis-31663	111	26	the	the	DET
fcis-31663	111	27	context	context	NOUN
fcis-31663	111	28	relationships	relationship	NOUN
fcis-31663	111	29	in	in	ADP
fcis-31663	111	30	the	the	DET
fcis-31663	111	31	sequence[6	sequence[6	NOUN
fcis-31663	111	32	]	]	PUNCT
fcis-31663	111	33	.	.	PUNCT
fcis-31663	112	1	figure	figure	NOUN
fcis-31663	112	2	6	6	NUM
fcis-31663	112	3	.	.	PUNCT
fcis-31663	113	1	scatter	scatter	NOUN
fcis-31663	113	2	plot	plot	NOUN
fcis-31663	113	3	of	of	ADP
fcis-31663	113	4	lstm	lstm	NOUN
fcis-31663	113	5	classification	classification	NOUN
fcis-31663	113	6	results	result	NOUN
fcis-31663	113	7	table	table	NOUN
fcis-31663	113	8	5	5	NUM
fcis-31663	113	9	.	.	PUNCT
fcis-31663	113	10	confusion	confusion	NOUN
fcis-31663	113	11	matrix	matrix	NOUN
fcis-31663	113	12	of	of	ADP
fcis-31663	113	13	lstm	lstm	NOUN
fcis-31663	113	14	classification	classification	NOUN
fcis-31663	113	15	results	result	NOUN
fcis-31663	113	16	.	.	PUNCT
fcis-31663	114	1	real	real	ADJ
fcis-31663	114	2	label	label	NOUN
fcis-31663	114	3	classfication	classfication	NOUN
fcis-31663	114	4	results	result	NOUN
fcis-31663	114	5	of	of	ADP
fcis-31663	114	6	lstm	lstm	NOUN
fcis-31663	114	7	type	type	NOUN
fcis-31663	114	8	i	i	PRON
fcis-31663	114	9	fruit	fruit	NOUN
fcis-31663	114	10	type	type	NOUN
fcis-31663	114	11	ii	ii	NOUN
fcis-31663	114	12	fruit	fruit	NOUN
fcis-31663	114	13	type	type	NOUN
fcis-31663	114	14	iii	iii	NOUN
fcis-31663	114	15	fruit	fruit	NOUN
fcis-31663	114	16	in	in	ADP
fcis-31663	114	17	total	total	ADJ
fcis-31663	114	18	type	type	NOUN
fcis-31663	114	19	i	i	PRON
fcis-31663	114	20	fruit	fruit	VERB
fcis-31663	114	21	27	27	NUM
fcis-31663	114	22	1	1	NUM
fcis-31663	114	23	4	4	NUM
fcis-31663	114	24	32	32	NUM
fcis-31663	114	25	type	type	NOUN
fcis-31663	114	26	ii	ii	NOUN
fcis-31663	114	27	fruit	fruit	NOUN
fcis-31663	114	28	2	2	NUM
fcis-31663	114	29	33	33	NUM
fcis-31663	114	30	0	0	NUM
fcis-31663	114	31	35	35	NUM
fcis-31663	114	32	type	type	NOUN
fcis-31663	114	33	iii	iii	NUM
fcis-31663	114	34	fruit	fruit	NOUN
fcis-31663	114	35	1	1	NUM
fcis-31663	114	36	0	0	NUM
fcis-31663	114	37	26	26	NUM
fcis-31663	114	38	27	27	NUM
fcis-31663	114	39	in	in	ADP
fcis-31663	114	40	total	total	ADJ
fcis-31663	114	41	31	31	NUM
fcis-31663	114	42	35	35	NUM
fcis-31663	114	43	28	28	NUM
fcis-31663	114	44	94	94	NUM
fcis-31663	114	45	the	the	DET
fcis-31663	114	46	advantage	advantage	NOUN
fcis-31663	114	47	of	of	ADP
fcis-31663	114	48	the	the	DET
fcis-31663	114	49	lstm	lstm	PROPN
fcis-31663	114	50	network	network	NOUN
fcis-31663	114	51	lies	lie	VERB
fcis-31663	114	52	in	in	ADP
fcis-31663	114	53	its	its	PRON
fcis-31663	114	54	unique	unique	ADJ
fcis-31663	114	55	gating	gate	VERB
fcis-31663	114	56	structure	structure	NOUN
fcis-31663	114	57	,	,	PUNCT
fcis-31663	114	58	including	include	VERB
fcis-31663	114	59	the	the	DET
fcis-31663	114	60	forget	forget	NOUN
fcis-31663	114	61	gate	gate	NOUN
fcis-31663	114	62	,	,	PUNCT
fcis-31663	114	63	input	input	NOUN
fcis-31663	114	64	gate	gate	NOUN
fcis-31663	114	65	,	,	PUNCT
fcis-31663	114	66	and	and	CCONJ
fcis-31663	114	67	output	output	NOUN
fcis-31663	114	68	gate	gate	NOUN
fcis-31663	114	69	.	.	PUNCT
fcis-31663	115	1	these	these	DET
fcis-31663	115	2	gating	gate	VERB
fcis-31663	115	3	units	unit	NOUN
fcis-31663	115	4	can	can	AUX
fcis-31663	115	5	effectively	effectively	ADV
fcis-31663	115	6	regulate	regulate	VERB
fcis-31663	115	7	the	the	DET
fcis-31663	115	8	inflow	inflow	NOUN
fcis-31663	115	9	and	and	CCONJ
fcis-31663	115	10	outflow	outflow	NOUN
fcis-31663	115	11	of	of	ADP
fcis-31663	115	12	information	information	NOUN
fcis-31663	115	13	,	,	PUNCT
fcis-31663	115	14	thereby	thereby	ADV
fcis-31663	115	15	effectively	effectively	ADV
fcis-31663	115	16	alleviating	alleviate	VERB
fcis-31663	115	17	the	the	DET
fcis-31663	115	18	common	common	ADJ
fcis-31663	115	19	problems	problem	NOUN
fcis-31663	115	20	of	of	ADP
fcis-31663	115	21	gradient	gradient	ADJ
fcis-31663	115	22	disappearance	disappearance	NOUN
fcis-31663	115	23	or	or	CCONJ
fcis-31663	115	24	explosion	explosion	NOUN
fcis-31663	115	25	in	in	ADP
fcis-31663	115	26	traditional	traditional	ADJ
fcis-31663	115	27	rnns	rnn	NOUN
fcis-31663	115	28	,	,	PUNCT
fcis-31663	115	29	enabling	enable	VERB
fcis-31663	115	30	the	the	DET
fcis-31663	115	31	model	model	NOUN
fcis-31663	115	32	to	to	PART
fcis-31663	115	33	stably	stably	ADV
fcis-31663	115	34	learn	learn	VERB
fcis-31663	115	35	long	long	ADJ
fcis-31663	115	36	-	-	PUNCT
fcis-31663	115	37	distance	distance	NOUN
fcis-31663	115	38	dependencies	dependency	NOUN
fcis-31663	115	39	.	.	PUNCT
fcis-31663	116	1	bilstm	bilstm	NOUN
fcis-31663	116	2	further	far	ADV
fcis-31663	116	3	enhances	enhance	VERB
fcis-31663	116	4	this	this	DET
fcis-31663	116	5	advantage	advantage	NOUN
fcis-31663	116	6	by	by	ADP
fcis-31663	116	7	introducing	introduce	VERB
fcis-31663	116	8	a	a	DET
fcis-31663	116	9	bidirectional	bidirectional	ADJ
fcis-31663	116	10	information	information	NOUN
fcis-31663	116	11	transmission	transmission	NOUN
fcis-31663	116	12	mechanism	mechanism	NOUN
fcis-31663	116	13	,	,	PUNCT
fcis-31663	116	14	demonstrating	demonstrate	VERB
fcis-31663	116	15	superior	superior	ADJ
fcis-31663	116	16	modeling	modeling	NOUN
fcis-31663	116	17	capabilities	capability	NOUN
fcis-31663	116	18	in	in	ADP
fcis-31663	116	19	handling	handle	VERB
fcis-31663	116	20	complex	complex	ADJ
fcis-31663	116	21	context	context	NOUN
fcis-31663	116	22	-	-	PUNCT
fcis-31663	116	23	dependent	dependent	ADJ
fcis-31663	116	24	data	datum	NOUN
fcis-31663	116	25	tasks	task	NOUN
fcis-31663	116	26	.	.	PUNCT
fcis-31663	117	1	the	the	DET
fcis-31663	117	2	specific	specific	ADJ
fcis-31663	117	3	structure	structure	NOUN
fcis-31663	117	4	of	of	ADP
fcis-31663	117	5	the	the	DET
fcis-31663	117	6	bilstm	bilstm	NOUN
fcis-31663	117	7	network	network	NOUN
fcis-31663	117	8	is	be	AUX
fcis-31663	117	9	shown	show	VERB
fcis-31663	117	10	in	in	ADP
fcis-31663	117	11	figure	figure	NOUN
fcis-31663	117	12	7	7	NUM
fcis-31663	117	13	.	.	PUNCT
fcis-31663	118	1	the	the	DET
fcis-31663	118	2	figure	figure	NOUN
fcis-31663	118	3	clearly	clearly	ADV
fcis-31663	118	4	presents	present	VERB
fcis-31663	118	5	the	the	DET
fcis-31663	118	6	input	input	NOUN
fcis-31663	118	7	layer	layer	NOUN
fcis-31663	118	8	,	,	PUNCT
fcis-31663	118	9	forward	forward	ADV
fcis-31663	118	10	lstm	lstm	ADJ
fcis-31663	118	11	layer	layer	NOUN
fcis-31663	118	12	,	,	PUNCT
fcis-31663	118	13	backward	backward	ADJ
fcis-31663	118	14	lstm	lstm	ADJ
fcis-31663	118	15	layer	layer	NOUN
fcis-31663	118	16	,	,	PUNCT
fcis-31663	118	17	and	and	CCONJ
fcis-31663	118	18	the	the	DET
fcis-31663	118	19	output	output	NOUN
fcis-31663	118	20	layer	layer	NOUN
fcis-31663	118	21	that	that	PRON
fcis-31663	118	22	integrates	integrate	VERB
fcis-31663	118	23	the	the	DET
fcis-31663	118	24	bidirectional	bidirectional	ADJ
fcis-31663	118	25	information	information	NOUN
fcis-31663	118	26	.	.	PUNCT
fcis-31663	119	1	figure	figure	VERB
fcis-31663	119	2	7	7	NUM
fcis-31663	119	3	.	.	PUNCT
fcis-31663	119	4	structure	structure	NOUN
fcis-31663	119	5	diagram	diagram	NOUN
fcis-31663	119	6	of	of	ADP
fcis-31663	119	7	bilstm	bilstm	NOUN
fcis-31663	119	8	network	network	NOUN
fcis-31663	119	9	the	the	DET
fcis-31663	119	10	bilstm	bilstm	NOUN
fcis-31663	119	11	model	model	NOUN
fcis-31663	119	12	demonstrates	demonstrate	VERB
fcis-31663	119	13	excellent	excellent	ADJ
fcis-31663	119	14	performance	performance	NOUN
fcis-31663	119	15	advantages	advantage	NOUN
fcis-31663	119	16	in	in	ADP
fcis-31663	119	17	the	the	DET
fcis-31663	119	18	classification	classification	NOUN
fcis-31663	119	19	task	task	NOUN
fcis-31663	119	20	of	of	ADP
fcis-31663	119	21	near	near	ADV
fcis-31663	119	22	-	-	PUNCT
fcis-31663	119	23	infrared	infrared	ADJ
fcis-31663	119	24	spectroscopy	spectroscopy	NOUN
fcis-31663	119	25	data	datum	NOUN
fcis-31663	119	26	.	.	PUNCT
fcis-31663	120	1	as	as	SCONJ
fcis-31663	120	2	shown	show	VERB
fcis-31663	120	3	in	in	ADP
fcis-31663	120	4	table	table	NOUN
fcis-31663	120	5	6	6	NUM
fcis-31663	120	6	,	,	PUNCT
fcis-31663	120	7	the	the	DET
fcis-31663	120	8	accuracy	accuracy	NOUN
fcis-31663	120	9	rate	rate	NOUN
fcis-31663	120	10	of	of	ADP
fcis-31663	120	11	the	the	DET
fcis-31663	120	12	bilstm	bilstm	NOUN
fcis-31663	120	13	model	model	NOUN
fcis-31663	120	14	for	for	ADP
fcis-31663	120	15	spectral	spectral	ADJ
fcis-31663	120	16	data	datum	NOUN
fcis-31663	120	17	classification	classification	NOUN
fcis-31663	120	18	reaches	reach	VERB
fcis-31663	120	19	0.9255	0.9255	NUM
fcis-31663	120	20	,	,	PUNCT
fcis-31663	120	21	the	the	DET
fcis-31663	120	22	precision	precision	NOUN
fcis-31663	120	23	rate	rate	NOUN
fcis-31663	120	24	is	be	AUX
fcis-31663	120	25	0.9235	0.9235	NUM
fcis-31663	120	26	,	,	PUNCT
fcis-31663	120	27	the	the	DET
fcis-31663	120	28	recall	recall	NOUN
fcis-31663	120	29	rate	rate	NOUN
fcis-31663	120	30	is	be	AUX
fcis-31663	120	31	0.9269	0.9269	NUM
fcis-31663	120	32	,	,	PUNCT
fcis-31663	120	33	and	and	CCONJ
fcis-31663	120	34	the	the	DET
fcis-31663	120	35	f1	f1	PROPN
fcis-31663	120	36	score	score	NOUN
fcis-31663	120	37	is	be	AUX
fcis-31663	120	38	0.9247	0.9247	NUM
fcis-31663	120	39	.	.	PUNCT
fcis-31663	121	1	these	these	DET
fcis-31663	121	2	indicators	indicator	NOUN
fcis-31663	121	3	indicate	indicate	VERB
fcis-31663	121	4	that	that	SCONJ
fcis-31663	121	5	the	the	DET
fcis-31663	121	6	bilstm	bilstm	NOUN
fcis-31663	121	7	model	model	NOUN
fcis-31663	121	8	can	can	AUX
fcis-31663	121	9	effectively	effectively	ADV
fcis-31663	121	10	capture	capture	VERB
fcis-31663	121	11	the	the	DET
fcis-31663	121	12	feature	feature	NOUN
fcis-31663	121	13	information	information	NOUN
fcis-31663	121	14	in	in	ADP
fcis-31663	121	15	near	near	ADV
fcis-31663	121	16	-	-	PUNCT
fcis-31663	121	17	infrared	infrared	ADJ
fcis-31663	121	18	spectroscopy	spectroscopy	NOUN
fcis-31663	121	19	data	datum	NOUN
fcis-31663	121	20	,	,	PUNCT
fcis-31663	121	21	thereby	thereby	ADV
fcis-31663	121	22	improving	improve	VERB
fcis-31663	121	23	the	the	DET
fcis-31663	121	24	overall	overall	ADJ
fcis-31663	121	25	effect	effect	NOUN
fcis-31663	121	26	of	of	ADP
fcis-31663	121	27	the	the	DET
fcis-31663	121	28	classification	classification	NOUN
fcis-31663	121	29	task	task	NOUN
fcis-31663	121	30	.	.	PUNCT
fcis-31663	122	1	the	the	DET
fcis-31663	122	2	scatter	scatter	NOUN
fcis-31663	122	3	plot	plot	NOUN
fcis-31663	122	4	showing	show	VERB
fcis-31663	122	5	the	the	DET
fcis-31663	122	6	classification	classification	NOUN
fcis-31663	122	7	of	of	ADP
fcis-31663	122	8	apple	apple	PROPN
fcis-31663	122	9	spectral	spectral	ADJ
fcis-31663	122	10	data	datum	NOUN
fcis-31663	122	11	based	base	VERB
fcis-31663	122	12	on	on	ADP
fcis-31663	122	13	the	the	DET
fcis-31663	122	14	ssc	ssc	NOUN
fcis-31663	122	15	content	content	NOUN
fcis-31663	122	16	by	by	ADP
fcis-31663	122	17	the	the	DET
fcis-31663	122	18	bilstm	bilstm	NOUN
fcis-31663	122	19	classification	classification	NOUN
fcis-31663	122	20	model	model	NOUN
fcis-31663	122	21	is	be	AUX
fcis-31663	122	22	shown	show	VERB
fcis-31663	122	23	in	in	ADP
fcis-31663	122	24	figure	figure	NOUN
fcis-31663	122	25	8	8	NUM
fcis-31663	122	26	.	.	PUNCT
fcis-31663	123	1	the	the	DET
fcis-31663	123	2	confusion	confusion	NOUN
fcis-31663	123	3	matrix	matrix	NOUN
fcis-31663	123	4	is	be	AUX
fcis-31663	123	5	presented	present	VERB
fcis-31663	123	6	in	in	ADP
fcis-31663	123	7	table	table	NOUN
fcis-31663	123	8	7	7	NUM
fcis-31663	123	9	.	.	ADP
fcis-31663	123	10	3.3	3.3	NUM
fcis-31663	123	11	.	.	PUNCT
fcis-31663	124	1	bilstm+mha	bilstm+mha	VERB
fcis-31663	124	2	the	the	DET
fcis-31663	124	3	key	key	ADJ
fcis-31663	124	4	idea	idea	NOUN
fcis-31663	124	5	of	of	ADP
fcis-31663	124	6	the	the	DET
fcis-31663	124	7	multi	multi	ADJ
fcis-31663	124	8	-	-	ADJ
fcis-31663	124	9	head	head	ADJ
fcis-31663	124	10	attention	attention	NOUN
fcis-31663	124	11	(	(	PUNCT
fcis-31663	124	12	mha	mha	NOUN
fcis-31663	124	13	)	)	PUNCT
fcis-31663	124	14	mechanism	mechanism	NOUN
fcis-31663	124	15	lies	lie	VERB
fcis-31663	124	16	in	in	ADP
fcis-31663	124	17	computing	compute	VERB
fcis-31663	124	18	the	the	DET
fcis-31663	124	19	attention	attention	NOUN
fcis-31663	124	20	weights	weight	NOUN
fcis-31663	124	21	in	in	ADP
fcis-31663	124	22	parallel	parallel	NOUN
fcis-31663	124	23	through	through	ADP
fcis-31663	124	24	multiple	multiple	ADJ
fcis-31663	124	25	attention	attention	NOUN
fcis-31663	124	26	heads	head	NOUN
fcis-31663	124	27	,	,	PUNCT
fcis-31663	124	28	in	in	ADP
fcis-31663	124	29	order	order	NOUN
fcis-31663	124	30	to	to	PART
fcis-31663	124	31	capture	capture	VERB
fcis-31663	124	32	richer	rich	ADJ
fcis-31663	124	33	103	103	NUM
fcis-31663	124	34	correlation	correlation	NOUN
fcis-31663	124	35	information	information	NOUN
fcis-31663	124	36	between	between	ADP
fcis-31663	124	37	different	different	ADJ
fcis-31663	124	38	positions	position	NOUN
fcis-31663	124	39	in	in	ADP
fcis-31663	124	40	the	the	DET
fcis-31663	124	41	input	input	NOUN
fcis-31663	124	42	sequence	sequence	NOUN
fcis-31663	124	43	.	.	PUNCT
fcis-31663	125	1	this	this	DET
fcis-31663	125	2	structure	structure	NOUN
fcis-31663	125	3	enables	enable	VERB
fcis-31663	125	4	the	the	DET
fcis-31663	125	5	model	model	NOUN
fcis-31663	125	6	to	to	PART
fcis-31663	125	7	simultaneously	simultaneously	ADV
fcis-31663	125	8	focus	focus	VERB
fcis-31663	125	9	on	on	ADP
fcis-31663	125	10	multiple	multiple	ADJ
fcis-31663	125	11	aspects	aspect	NOUN
fcis-31663	125	12	of	of	ADP
fcis-31663	125	13	the	the	DET
fcis-31663	125	14	sequence	sequence	NOUN
fcis-31663	125	15	data	datum	NOUN
fcis-31663	125	16	,	,	PUNCT
fcis-31663	125	17	thereby	thereby	ADV
fcis-31663	125	18	enhancing	enhance	VERB
fcis-31663	125	19	the	the	DET
fcis-31663	125	20	ability	ability	NOUN
fcis-31663	125	21	to	to	PART
fcis-31663	125	22	extract	extract	VERB
fcis-31663	125	23	and	and	CCONJ
fcis-31663	125	24	represent	represent	VERB
fcis-31663	125	25	data	datum	NOUN
fcis-31663	125	26	features[7	features[7	NOUN
fcis-31663	125	27	]	]	X
fcis-31663	125	28	.	.	PUNCT
fcis-31663	126	1	table	table	NOUN
fcis-31663	126	2	6	6	NUM
fcis-31663	126	3	.	.	PUNCT
fcis-31663	126	4	performance	performance	NOUN
fcis-31663	126	5	of	of	ADP
fcis-31663	126	6	bilstm	bilstm	NOUN
fcis-31663	126	7	model	model	PROPN
fcis-31663	126	8	.	.	PUNCT
fcis-31663	127	1	model	model	NOUN
fcis-31663	127	2	name	name	NOUN
fcis-31663	127	3	training	training	NOUN
fcis-31663	127	4	batch	batch	NOUN
fcis-31663	127	5	number	number	NOUN
fcis-31663	127	6	of	of	ADP
fcis-31663	127	7	iterations	iteration	NOUN
fcis-31663	127	8	optimizer	optimizer	NOUN
fcis-31663	127	9	dropout	dropout	NOUN
fcis-31663	127	10	accuracy	accuracy	NOUN
fcis-31663	127	11	rate	rate	NOUN
fcis-31663	127	12	precision	precision	NOUN
fcis-31663	127	13	recall	recall	NOUN
fcis-31663	127	14	rate	rate	NOUN
fcis-31663	127	15	f1	f1	PROPN
fcis-31663	127	16	score	score	NOUN
fcis-31663	127	17	bilstm	bilstm	NOUN
fcis-31663	127	18	32	32	NUM
fcis-31663	127	19	500	500	NUM
fcis-31663	127	20	relu	relu	NOUN
fcis-31663	127	21	0.25	0.25	NUM
fcis-31663	127	22	0.9255	0.9255	NUM
fcis-31663	127	23	0.9235	0.9235	NUM
fcis-31663	127	24	0.9269	0.9269	NUM
fcis-31663	127	25	0.9247	0.9247	NUM
fcis-31663	127	26	figure	figure	NOUN
fcis-31663	127	27	8	8	NUM
fcis-31663	127	28	.	.	PUNCT
fcis-31663	128	1	scatter	scatter	NOUN
fcis-31663	128	2	plot	plot	NOUN
fcis-31663	128	3	of	of	ADP
fcis-31663	128	4	bilstm	bilstm	NOUN
fcis-31663	128	5	classification	classification	NOUN
fcis-31663	128	6	results	result	NOUN
fcis-31663	128	7	table	table	VERB
fcis-31663	128	8	7	7	NUM
fcis-31663	128	9	.	.	PUNCT
fcis-31663	128	10	confusion	confusion	NOUN
fcis-31663	128	11	matrix	matrix	NOUN
fcis-31663	128	12	of	of	ADP
fcis-31663	128	13	bilstm	bilstm	NOUN
fcis-31663	128	14	classification	classification	NOUN
fcis-31663	128	15	results	result	NOUN
fcis-31663	128	16	.	.	PUNCT
fcis-31663	129	1	real	real	ADJ
fcis-31663	129	2	label	label	NOUN
fcis-31663	129	3	classfication	classfication	NOUN
fcis-31663	129	4	results	result	NOUN
fcis-31663	129	5	of	of	ADP
fcis-31663	129	6	bilstm	bilstm	NOUN
fcis-31663	129	7	type	type	NOUN
fcis-31663	129	8	i	i	PRON
fcis-31663	129	9	fruit	fruit	NOUN
fcis-31663	129	10	type	type	NOUN
fcis-31663	129	11	ii	ii	NOUN
fcis-31663	129	12	fruit	fruit	NOUN
fcis-31663	129	13	type	type	NOUN
fcis-31663	129	14	iii	iii	NOUN
fcis-31663	129	15	fruit	fruit	NOUN
fcis-31663	129	16	in	in	ADP
fcis-31663	129	17	total	total	ADJ
fcis-31663	129	18	type	type	NOUN
fcis-31663	129	19	i	i	PRON
fcis-31663	129	20	fruit	fruit	VERB
fcis-31663	129	21	28	28	NUM
fcis-31663	129	22	1	1	NUM
fcis-31663	129	23	3	3	NUM
fcis-31663	129	24	32	32	NUM
fcis-31663	129	25	type	type	NOUN
fcis-31663	129	26	ii	ii	NOUN
fcis-31663	129	27	fruit	fruit	NOUN
fcis-31663	129	28	2	2	NUM
fcis-31663	129	29	33	33	NUM
fcis-31663	129	30	0	0	NUM
fcis-31663	129	31	35	35	NUM
fcis-31663	129	32	type	type	NOUN
fcis-31663	129	33	iii	iii	NUM
fcis-31663	129	34	fruit	fruit	NOUN
fcis-31663	129	35	1	1	NUM
fcis-31663	129	36	0	0	NUM
fcis-31663	129	37	26	26	NUM
fcis-31663	129	38	27	27	NUM
fcis-31663	129	39	in	in	ADP
fcis-31663	129	40	total	total	ADJ
fcis-31663	129	41	31	31	NUM
fcis-31663	129	42	34	34	NUM
fcis-31663	129	43	29	29	NUM
fcis-31663	129	44	94	94	NUM
fcis-31663	129	45	the	the	DET
fcis-31663	129	46	specific	specific	ADJ
fcis-31663	129	47	implementation	implementation	NOUN
fcis-31663	129	48	steps	step	NOUN
fcis-31663	129	49	of	of	ADP
fcis-31663	129	50	the	the	DET
fcis-31663	129	51	multi	multi	ADJ
fcis-31663	129	52	-	-	ADJ
fcis-31663	129	53	head	head	ADJ
fcis-31663	129	54	attention	attention	NOUN
fcis-31663	129	55	mechanism	mechanism	NOUN
fcis-31663	129	56	adopted	adopt	VERB
fcis-31663	129	57	in	in	ADP
fcis-31663	129	58	this	this	DET
fcis-31663	129	59	study	study	NOUN
fcis-31663	129	60	are	be	AUX
fcis-31663	129	61	as	as	SCONJ
fcis-31663	129	62	follows	follow	VERB
fcis-31663	129	63	:	:	PUNCT
fcis-31663	129	64	step	step	NOUN
fcis-31663	129	65	1	1	NUM
fcis-31663	129	66	(	(	PUNCT
fcis-31663	129	67	linear	linear	PROPN
fcis-31663	129	68	mapping	mapping	NOUN
fcis-31663	129	69	):	):	PUNCT
fcis-31663	129	70	firstly	firstly	ADV
fcis-31663	129	71	,	,	PUNCT
fcis-31663	129	72	the	the	DET
fcis-31663	129	73	input	input	NOUN
fcis-31663	129	74	sequence	sequence	NOUN
fcis-31663	129	75	x	x	PUNCT
fcis-31663	129	76	is	be	AUX
fcis-31663	129	77	transformed	transform	VERB
fcis-31663	129	78	into	into	ADP
fcis-31663	129	79	a	a	DET
fcis-31663	129	80	series	series	NOUN
fcis-31663	129	81	of	of	ADP
fcis-31663	129	82	query	query	NOUN
fcis-31663	129	83	(	(	PUNCT
fcis-31663	129	84	q	q	NOUN
fcis-31663	129	85	)	)	PUNCT
fcis-31663	129	86	,	,	PUNCT
fcis-31663	129	87	key	key	ADJ
fcis-31663	129	88	(	(	PUNCT
fcis-31663	129	89	k	k	NOUN
fcis-31663	129	90	)	)	PUNCT
fcis-31663	129	91	,	,	PUNCT
fcis-31663	129	92	and	and	CCONJ
fcis-31663	129	93	value	value	NOUN
fcis-31663	129	94	(	(	PUNCT
fcis-31663	129	95	v	v	NOUN
fcis-31663	129	96	)	)	PUNCT
fcis-31663	129	97	vectors	vector	NOUN
fcis-31663	129	98	through	through	ADP
fcis-31663	129	99	multiple	multiple	ADJ
fcis-31663	129	100	independent	independent	ADJ
fcis-31663	129	101	linear	linear	ADJ
fcis-31663	129	102	mappings	mapping	NOUN
fcis-31663	129	103	,	,	PUNCT
fcis-31663	129	104	where	where	SCONJ
fcis-31663	129	105	each	each	DET
fcis-31663	129	106	attention	attention	NOUN
fcis-31663	129	107	head	head	NOUN
fcis-31663	129	108	has	have	VERB
fcis-31663	129	109	its	its	PRON
fcis-31663	129	110	own	own	ADJ
fcis-31663	129	111	independent	independent	ADJ
fcis-31663	129	112	mapping	mapping	NOUN
fcis-31663	129	113	parameters	parameter	NOUN
fcis-31663	129	114	.	.	PUNCT
fcis-31663	130	1	step	step	NOUN
fcis-31663	130	2	2	2	NUM
fcis-31663	130	3	(	(	PUNCT
fcis-31663	130	4	attention	attention	NOUN
fcis-31663	130	5	score	score	NOUN
fcis-31663	130	6	calculation	calculation	NOUN
fcis-31663	130	7	):	):	PUNCT
fcis-31663	130	8	for	for	ADP
fcis-31663	130	9	each	each	DET
fcis-31663	130	10	attention	attention	NOUN
fcis-31663	130	11	head	head	NOUN
fcis-31663	130	12	,	,	PUNCT
fcis-31663	130	13	the	the	DET
fcis-31663	130	14	corresponding	corresponding	ADJ
fcis-31663	130	15	attention	attention	NOUN
fcis-31663	130	16	score	score	NOUN
fcis-31663	130	17	is	be	AUX
fcis-31663	130	18	calculated	calculate	VERB
fcis-31663	130	19	using	use	VERB
fcis-31663	130	20	the	the	DET
fcis-31663	130	21	q	q	PROPN
fcis-31663	130	22	,	,	PUNCT
fcis-31663	130	23	k	k	NOUN
fcis-31663	130	24	,	,	PUNCT
fcis-31663	130	25	and	and	CCONJ
fcis-31663	130	26	v	v	NUM
fcis-31663	130	27	vectors	vector	NOUN
fcis-31663	130	28	obtained	obtain	VERB
fcis-31663	130	29	from	from	ADP
fcis-31663	130	30	the	the	DET
fcis-31663	130	31	respective	respective	ADJ
fcis-31663	130	32	mappings	mapping	NOUN
fcis-31663	130	33	.	.	PUNCT
fcis-31663	131	1	the	the	DET
fcis-31663	131	2	calculation	calculation	NOUN
fcis-31663	131	3	formula	formula	NOUN
fcis-31663	131	4	is	be	AUX
fcis-31663	131	5	:	:	PUNCT
fcis-31663	131	6	attebtion	attebtion	NOUN
fcis-31663	131	7	q	q	X
fcis-31663	131	8	,	,	PUNCT
fcis-31663	131	9	k	k	PROPN
fcis-31663	131	10	,	,	PUNCT
fcis-31663	131	11	v	v	ADJ
fcis-31663	131	12	softmax	softmax	NOUN
fcis-31663	131	13	qk	qk	NOUN
fcis-31663	131	14	d	d	PROPN
fcis-31663	131	15	v	v	ADP
fcis-31663	131	16	4	4	NUM
fcis-31663	131	17	in	in	ADP
fcis-31663	131	18	the	the	DET
fcis-31663	131	19	formula	formula	NOUN
fcis-31663	131	20	,	,	PUNCT
fcis-31663	131	21	dk	dk	PROPN
fcis-31663	131	22	represents	represent	VERB
fcis-31663	131	23	the	the	DET
fcis-31663	131	24	dimension	dimension	NOUN
fcis-31663	131	25	of	of	ADP
fcis-31663	131	26	the	the	DET
fcis-31663	131	27	key	key	ADJ
fcis-31663	131	28	vector	vector	NOUN
fcis-31663	131	29	(	(	PUNCT
fcis-31663	131	30	k	k	NOUN
fcis-31663	131	31	)	)	PUNCT
fcis-31663	131	32	.	.	PUNCT
fcis-31663	132	1	the	the	DET
fcis-31663	132	2	introduced	introduce	VERB
fcis-31663	132	3	factor	factor	NOUN
fcis-31663	132	4	is	be	AUX
fcis-31663	132	5	to	to	PART
fcis-31663	132	6	prevent	prevent	VERB
fcis-31663	132	7	the	the	DET
fcis-31663	132	8	inner	inner	ADJ
fcis-31663	132	9	product	product	NOUN
fcis-31663	132	10	from	from	ADP
fcis-31663	132	11	being	be	AUX
fcis-31663	132	12	too	too	ADV
fcis-31663	132	13	large	large	ADJ
fcis-31663	132	14	,	,	PUNCT
fcis-31663	132	15	thereby	thereby	ADV
fcis-31663	132	16	alleviating	alleviate	VERB
fcis-31663	132	17	the	the	DET
fcis-31663	132	18	possible	possible	ADJ
fcis-31663	132	19	problem	problem	NOUN
fcis-31663	132	20	of	of	ADP
fcis-31663	132	21	gradient	gradient	ADJ
fcis-31663	132	22	disappearance	disappearance	NOUN
fcis-31663	132	23	.	.	PUNCT
fcis-31663	133	1	step	step	NOUN
fcis-31663	133	2	3	3	NUM
fcis-31663	133	3	(	(	PUNCT
fcis-31663	133	4	headline	headline	NOUN
fcis-31663	133	5	integration	integration	NOUN
fcis-31663	133	6	):	):	PUNCT
fcis-31663	133	7	the	the	DET
fcis-31663	133	8	attention	attention	NOUN
fcis-31663	133	9	outputs	output	NOUN
fcis-31663	133	10	obtained	obtain	VERB
fcis-31663	133	11	from	from	ADP
fcis-31663	133	12	independently	independently	ADV
fcis-31663	133	13	calculating	calculate	VERB
fcis-31663	133	14	multiple	multiple	ADJ
fcis-31663	133	15	heads	head	NOUN
fcis-31663	133	16	are	be	AUX
fcis-31663	133	17	concatenated	concatenate	VERB
fcis-31663	133	18	into	into	ADP
fcis-31663	133	19	a	a	DET
fcis-31663	133	20	single	single	ADJ
fcis-31663	133	21	feature	feature	NOUN
fcis-31663	133	22	representation	representation	NOUN
fcis-31663	133	23	,	,	PUNCT
fcis-31663	133	24	and	and	CCONJ
fcis-31663	133	25	then	then	ADV
fcis-31663	133	26	integrated	integrate	VERB
fcis-31663	133	27	through	through	ADP
fcis-31663	133	28	a	a	DET
fcis-31663	133	29	linear	linear	ADJ
fcis-31663	133	30	mapping	mapping	NOUN
fcis-31663	133	31	to	to	PART
fcis-31663	133	32	obtain	obtain	VERB
fcis-31663	133	33	the	the	DET
fcis-31663	133	34	final	final	ADJ
fcis-31663	133	35	multi	multi	ADJ
fcis-31663	133	36	-	-	ADJ
fcis-31663	133	37	head	head	ADJ
fcis-31663	133	38	attention	attention	NOUN
fcis-31663	133	39	output	output	NOUN
fcis-31663	133	40	.	.	PUNCT
fcis-31663	134	1	step	step	NOUN
fcis-31663	134	2	4	4	NUM
fcis-31663	134	3	(	(	PUNCT
fcis-31663	134	4	subsequent	subsequent	ADJ
fcis-31663	134	5	processing	processing	NOUN
fcis-31663	134	6	):	):	PUNCT
fcis-31663	134	7	the	the	DET
fcis-31663	134	8	integrated	integrate	VERB
fcis-31663	134	9	multi	multi	ADJ
fcis-31663	134	10	-	-	ADJ
fcis-31663	134	11	head	head	ADJ
fcis-31663	134	12	attention	attention	NOUN
fcis-31663	134	13	output	output	NOUN
fcis-31663	134	14	can	can	AUX
fcis-31663	134	15	be	be	AUX
fcis-31663	134	16	used	use	VERB
fcis-31663	134	17	for	for	ADP
fcis-31663	134	18	further	further	ADJ
fcis-31663	134	19	feature	feature	NOUN
fcis-31663	134	20	processing	processing	NOUN
fcis-31663	134	21	and	and	CCONJ
fcis-31663	134	22	prediction	prediction	NOUN
fcis-31663	134	23	in	in	ADP
fcis-31663	134	24	the	the	DET
fcis-31663	134	25	subsequent	subsequent	ADJ
fcis-31663	134	26	network	network	NOUN
fcis-31663	134	27	layers	layer	NOUN
fcis-31663	134	28	.	.	PUNCT
fcis-31663	135	1	this	this	DET
fcis-31663	135	2	study	study	NOUN
fcis-31663	135	3	further	far	ADV
fcis-31663	135	4	combines	combine	VERB
fcis-31663	135	5	the	the	DET
fcis-31663	135	6	multi	multi	ADJ
fcis-31663	135	7	-	-	ADJ
fcis-31663	135	8	head	head	ADJ
fcis-31663	135	9	attention	attention	NOUN
fcis-31663	135	10	mechanism	mechanism	NOUN
fcis-31663	135	11	with	with	ADP
fcis-31663	135	12	the	the	DET
fcis-31663	135	13	bilstm	bilstm	NOUN
fcis-31663	135	14	model	model	NOUN
fcis-31663	135	15	,	,	PUNCT
fcis-31663	135	16	and	and	CCONJ
fcis-31663	135	17	its	its	PRON
fcis-31663	135	18	overall	overall	ADJ
fcis-31663	135	19	structure	structure	NOUN
fcis-31663	135	20	is	be	AUX
fcis-31663	135	21	shown	show	VERB
fcis-31663	135	22	in	in	ADP
fcis-31663	135	23	figure	figure	NOUN
fcis-31663	135	24	9	9	NUM
fcis-31663	135	25	.	.	PUNCT
fcis-31663	136	1	the	the	DET
fcis-31663	136	2	model	model	NOUN
fcis-31663	136	3	consists	consist	VERB
fcis-31663	136	4	of	of	ADP
fcis-31663	136	5	1	1	NUM
fcis-31663	136	6	input	input	NOUN
fcis-31663	136	7	layer	layer	NOUN
fcis-31663	136	8	,	,	PUNCT
fcis-31663	136	9	1	1	NUM
fcis-31663	136	10	bilstm	bilstm	NOUN
fcis-31663	136	11	layer	layer	NOUN
fcis-31663	136	12	,	,	PUNCT
fcis-31663	136	13	1	1	NUM
fcis-31663	136	14	multi	multi	ADJ
fcis-31663	136	15	-	-	ADJ
fcis-31663	136	16	head	head	ADJ
fcis-31663	136	17	attention	attention	NOUN
fcis-31663	136	18	layer	layer	NOUN
fcis-31663	136	19	,	,	PUNCT
fcis-31663	136	20	1	1	NUM
fcis-31663	136	21	dropout	dropout	NOUN
fcis-31663	136	22	layer	layer	NOUN
fcis-31663	136	23	,	,	PUNCT
fcis-31663	136	24	and	and	CCONJ
fcis-31663	136	25	1	1	NUM
fcis-31663	136	26	fully	fully	ADV
fcis-31663	136	27	connected	connect	VERB
fcis-31663	136	28	layer	layer	NOUN
fcis-31663	136	29	.	.	PUNCT
fcis-31663	137	1	the	the	DET
fcis-31663	137	2	output	output	NOUN
fcis-31663	137	3	dimension	dimension	NOUN
fcis-31663	137	4	of	of	ADP
fcis-31663	137	5	the	the	DET
fcis-31663	137	6	fully	fully	ADV
fcis-31663	137	7	connected	connect	VERB
fcis-31663	137	8	layer	layer	NOUN
fcis-31663	137	9	is	be	AUX
fcis-31663	137	10	set	set	VERB
fcis-31663	137	11	to	to	ADP
fcis-31663	137	12	3	3	NUM
fcis-31663	137	13	.	.	PUNCT
fcis-31663	138	1	the	the	DET
fcis-31663	138	2	specific	specific	ADJ
fcis-31663	138	3	parameter	parameter	NOUN
fcis-31663	138	4	settings	setting	NOUN
fcis-31663	138	5	are	be	AUX
fcis-31663	138	6	as	as	SCONJ
fcis-31663	138	7	follows	follow	VERB
fcis-31663	138	8	:	:	PUNCT
fcis-31663	138	9	the	the	DET
fcis-31663	138	10	number	number	NOUN
fcis-31663	138	11	of	of	ADP
fcis-31663	138	12	attention	attention	NOUN
fcis-31663	138	13	heads	head	NOUN
fcis-31663	138	14	is	be	AUX
fcis-31663	138	15	4	4	NUM
fcis-31663	138	16	,	,	PUNCT
fcis-31663	138	17	the	the	DET
fcis-31663	138	18	multi	multi	ADJ
fcis-31663	138	19	-	-	ADJ
fcis-31663	138	20	head	head	ADJ
fcis-31663	138	21	attention	attention	NOUN
fcis-31663	138	22	layer	layer	NOUN
fcis-31663	138	23	is	be	AUX
fcis-31663	138	24	located	locate	VERB
fcis-31663	138	25	between	between	ADP
fcis-31663	138	26	the	the	DET
fcis-31663	138	27	bilstm	bilstm	NOUN
fcis-31663	138	28	layer	layer	NOUN
fcis-31663	138	29	and	and	CCONJ
fcis-31663	138	30	the	the	DET
fcis-31663	138	31	dropout	dropout	NOUN
fcis-31663	138	32	layer	layer	NOUN
fcis-31663	138	33	to	to	PART
fcis-31663	138	34	help	help	VERB
fcis-31663	138	35	the	the	DET
fcis-31663	138	36	bilstm	bilstm	NOUN
fcis-31663	138	37	capture	capture	NOUN
fcis-31663	138	38	features	feature	VERB
fcis-31663	138	39	more	more	ADV
fcis-31663	138	40	effectively	effectively	ADV
fcis-31663	138	41	;	;	PUNCT
fcis-31663	138	42	the	the	DET
fcis-31663	138	43	dropout	dropout	NOUN
fcis-31663	138	44	rate	rate	NOUN
fcis-31663	138	45	of	of	ADP
fcis-31663	138	46	the	the	DET
fcis-31663	138	47	dropout	dropout	NOUN
fcis-31663	138	48	layer	layer	NOUN
fcis-31663	138	49	is	be	AUX
fcis-31663	138	50	0.25	0.25	NUM
fcis-31663	138	51	;	;	PUNCT
fcis-31663	138	52	the	the	DET
fcis-31663	138	53	initial	initial	ADJ
fcis-31663	138	54	learning	learning	NOUN
fcis-31663	138	55	rate	rate	NOUN
fcis-31663	138	56	is	be	AUX
fcis-31663	138	57	0.001	0.001	NUM
fcis-31663	138	58	,	,	PUNCT
fcis-31663	138	59	the	the	DET
fcis-31663	138	60	learning	learn	VERB
fcis-31663	138	61	rate	rate	NOUN
fcis-31663	138	62	decay	decay	NOUN
fcis-31663	138	63	factor	factor	NOUN
fcis-31663	138	64	is	be	AUX
fcis-31663	138	65	0.0005	0.0005	NUM
fcis-31663	138	66	,	,	PUNCT
fcis-31663	138	67	and	and	CCONJ
fcis-31663	138	68	the	the	DET
fcis-31663	138	69	minimum	minimum	ADJ
fcis-31663	138	70	learning	learning	NOUN
fcis-31663	138	71	rate	rate	NOUN
fcis-31663	138	72	is	be	AUX
fcis-31663	138	73	limited	limit	VERB
fcis-31663	138	74	to	to	ADP
fcis-31663	138	75	1×10	1×10	NUM
fcis-31663	138	76	-	-	SYM
fcis-31663	138	77	6	6	NUM
fcis-31663	138	78	.	.	PUNCT
fcis-31663	139	1	when	when	SCONJ
fcis-31663	139	2	the	the	DET
fcis-31663	139	3	model	model	NOUN
fcis-31663	139	4	performance	performance	NOUN
fcis-31663	139	5	does	do	AUX
fcis-31663	139	6	not	not	PART
fcis-31663	139	7	improve	improve	VERB
fcis-31663	139	8	for	for	ADP
fcis-31663	139	9	20	20	NUM
fcis-31663	139	10	consecutive	consecutive	ADJ
fcis-31663	139	11	iterations	iteration	NOUN
fcis-31663	139	12	,	,	PUNCT
fcis-31663	139	13	the	the	DET
fcis-31663	139	14	learning	learn	VERB
fcis-31663	139	15	rate	rate	NOUN
fcis-31663	139	16	decay	decay	NOUN
fcis-31663	139	17	strategy	strategy	NOUN
fcis-31663	139	18	will	will	AUX
fcis-31663	139	19	be	be	AUX
fcis-31663	139	20	automatically	automatically	ADV
fcis-31663	139	21	triggered	trigger	VERB
fcis-31663	139	22	.	.	PUNCT
fcis-31663	140	1	after	after	ADP
fcis-31663	140	2	introducing	introduce	VERB
fcis-31663	140	3	the	the	DET
fcis-31663	140	4	multi	multi	ADJ
fcis-31663	140	5	-	-	ADJ
fcis-31663	140	6	head	head	ADJ
fcis-31663	140	7	attention	attention	NOUN
fcis-31663	140	8	mechanism	mechanism	NOUN
fcis-31663	140	9	(	(	PUNCT
fcis-31663	140	10	mha	mha	NOUN
fcis-31663	140	11	)	)	PUNCT
fcis-31663	140	12	into	into	ADP
fcis-31663	140	13	the	the	DET
fcis-31663	140	14	bilstm	bilstm	NOUN
fcis-31663	140	15	model	model	NOUN
fcis-31663	140	16	,	,	PUNCT
fcis-31663	140	17	the	the	DET
fcis-31663	140	18	performance	performance	NOUN
fcis-31663	140	19	of	of	ADP
fcis-31663	140	20	the	the	DET
fcis-31663	140	21	model	model	NOUN
fcis-31663	140	22	has	have	AUX
fcis-31663	140	23	been	be	AUX
fcis-31663	140	24	significantly	significantly	ADV
fcis-31663	140	25	improved	improve	VERB
fcis-31663	140	26	.	.	PUNCT
fcis-31663	141	1	according	accord	VERB
fcis-31663	141	2	to	to	ADP
fcis-31663	141	3	the	the	DET
fcis-31663	141	4	data	datum	NOUN
fcis-31663	141	5	in	in	ADP
fcis-31663	141	6	table	table	NOUN
fcis-31663	141	7	8	8	NUM
fcis-31663	141	8	,	,	PUNCT
fcis-31663	141	9	the	the	DET
fcis-31663	141	10	accuracy	accuracy	NOUN
fcis-31663	141	11	of	of	ADP
fcis-31663	141	12	the	the	DET
fcis-31663	141	13	bilstm	bilstm	NOUN
fcis-31663	141	14	+	+	CCONJ
fcis-31663	141	15	mha	mha	NOUN
fcis-31663	141	16	model	model	NOUN
fcis-31663	141	17	is	be	AUX
fcis-31663	141	18	0.9574	0.9574	NUM
fcis-31663	141	19	,	,	PUNCT
fcis-31663	141	20	the	the	DET
fcis-31663	141	21	precision	precision	NOUN
fcis-31663	141	22	is	be	AUX
fcis-31663	141	23	0.9575	0.9575	NUM
fcis-31663	141	24	,	,	PUNCT
fcis-31663	141	25	the	the	DET
fcis-31663	141	26	recall	recall	NOUN
fcis-31663	141	27	rate	rate	NOUN
fcis-31663	141	28	is	be	AUX
fcis-31663	141	29	0.9601	0.9601	NUM
fcis-31663	141	30	,	,	PUNCT
fcis-31663	141	31	and	and	CCONJ
fcis-31663	141	32	the	the	DET
fcis-31663	141	33	f1	f1	PROPN
fcis-31663	141	34	score	score	NOUN
fcis-31663	141	35	is	be	AUX
fcis-31663	141	36	0.9586	0.9586	NUM
fcis-31663	141	37	.	.	PUNCT
fcis-31663	142	1	figure	figure	NOUN
fcis-31663	142	2	10	10	NUM
fcis-31663	142	3	shows	show	VERB
fcis-31663	142	4	the	the	DET
fcis-31663	142	5	prediction	prediction	NOUN
fcis-31663	142	6	classification	classification	NOUN
fcis-31663	142	7	results	result	NOUN
fcis-31663	142	8	of	of	ADP
fcis-31663	142	9	the	the	DET
fcis-31663	142	10	bilstm	bilstm	NOUN
fcis-31663	142	11	+	+	CCONJ
fcis-31663	142	12	mha	mha	PROPN
fcis-31663	142	13	model	model	NOUN
fcis-31663	142	14	,	,	PUNCT
fcis-31663	142	15	and	and	CCONJ
fcis-31663	142	16	table	table	NOUN
fcis-31663	142	17	9	9	NUM
fcis-31663	142	18	presents	present	VERB
fcis-31663	142	19	the	the	DET
fcis-31663	142	20	confusion	confusion	NOUN
fcis-31663	142	21	matrix	matrix	NOUN
fcis-31663	142	22	of	of	ADP
fcis-31663	142	23	the	the	DET
fcis-31663	142	24	f	f	PROPN
fcis-31663	142	25	classification	classification	NOUN
fcis-31663	142	26	results	result	NOUN
fcis-31663	142	27	of	of	ADP
fcis-31663	142	28	the	the	DET
fcis-31663	142	29	bilstm	bilstm	NOUN
fcis-31663	142	30	+	+	CCONJ
fcis-31663	142	31	mha	mha	PROPN
fcis-31663	142	32	model	model	NOUN
fcis-31663	142	33	.	.	PUNCT
fcis-31663	143	1	104	104	NUM
fcis-31663	143	2	figure	figure	NOUN
fcis-31663	143	3	9	9	NUM
fcis-31663	143	4	.	.	PUNCT
fcis-31663	144	1	structure	structure	NOUN
fcis-31663	144	2	of	of	ADP
fcis-31663	144	3	the	the	DET
fcis-31663	144	4	bilstm	bilstm	NOUN
fcis-31663	144	5	+	+	CCONJ
fcis-31663	144	6	mha	mha	NOUN
fcis-31663	144	7	model	model	NOUN
fcis-31663	144	8	table	table	NOUN
fcis-31663	144	9	8	8	NUM
fcis-31663	144	10	.	.	PUNCT
fcis-31663	144	11	model	model	NOUN
fcis-31663	144	12	performance	performance	NOUN
fcis-31663	144	13	.	.	PUNCT
fcis-31663	145	1	model	model	NOUN
fcis-31663	145	2	name	name	NOUN
fcis-31663	145	3	training	training	NOUN
fcis-31663	145	4	batch	batch	NOUN
fcis-31663	145	5	number	number	NOUN
fcis-31663	145	6	of	of	ADP
fcis-31663	145	7	iterations	iteration	NOUN
fcis-31663	145	8	optimizer	optimizer	NOUN
fcis-31663	145	9	dropout	dropout	NOUN
fcis-31663	145	10	accuracy	accuracy	NOUN
fcis-31663	145	11	rate	rate	NOUN
fcis-31663	145	12	precision	precision	NOUN
fcis-31663	145	13	recall	recall	NOUN
fcis-31663	145	14	rate	rate	NOUN
fcis-31663	145	15	f1	f1	PROPN
fcis-31663	145	16	score	score	NOUN
fcis-31663	145	17	bilstm+mha	bilstm+mha	NOUN
fcis-31663	145	18	32	32	NUM
fcis-31663	145	19	500	500	NUM
fcis-31663	145	20	relu	relu	NOUN
fcis-31663	145	21	0.25	0.25	NUM
fcis-31663	145	22	0.9574	0.9574	NUM
fcis-31663	146	1	0.9575	0.9575	NUM
fcis-31663	146	2	0.9601	0.9601	NUM
fcis-31663	146	3	0.9586	0.9586	NUM
fcis-31663	146	4	figure	figure	NOUN
fcis-31663	146	5	10	10	NUM
fcis-31663	146	6	.	.	PUNCT
fcis-31663	147	1	scatter	scatter	NOUN
fcis-31663	147	2	plot	plot	NOUN
fcis-31663	147	3	of	of	ADP
fcis-31663	147	4	classification	classification	NOUN
fcis-31663	147	5	results	result	NOUN
fcis-31663	147	6	of	of	ADP
fcis-31663	147	7	bilstm	bilstm	NOUN
fcis-31663	147	8	+	+	CCONJ
fcis-31663	147	9	mha	mha	PROPN
fcis-31663	147	10	.	.	PROPN
fcis-31663	147	11	table	table	NOUN
fcis-31663	147	12	9	9	NUM
fcis-31663	147	13	.	.	PUNCT
fcis-31663	147	14	confusion	confusion	NOUN
fcis-31663	147	15	matrix	matrix	NOUN
fcis-31663	147	16	of	of	ADP
fcis-31663	147	17	bilstm+mha	bilstm+mha	NOUN
fcis-31663	147	18	classification	classification	NOUN
fcis-31663	147	19	results	result	NOUN
fcis-31663	147	20	.	.	PUNCT
fcis-31663	148	1	real	real	ADJ
fcis-31663	148	2	label	label	NOUN
fcis-31663	148	3	classfication	classfication	NOUN
fcis-31663	148	4	results	result	NOUN
fcis-31663	148	5	of	of	ADP
fcis-31663	148	6	bilstm+mha	bilstm+mha	NOUN
fcis-31663	148	7	type	type	NOUN
fcis-31663	148	8	i	i	PRON
fcis-31663	148	9	fruit	fruit	NOUN
fcis-31663	148	10	type	type	NOUN
fcis-31663	148	11	ii	ii	NOUN
fcis-31663	148	12	fruit	fruit	NOUN
fcis-31663	148	13	type	type	NOUN
fcis-31663	148	14	iii	iii	NOUN
fcis-31663	148	15	fruit	fruit	NOUN
fcis-31663	148	16	in	in	ADP
fcis-31663	148	17	total	total	ADJ
fcis-31663	148	18	type	type	NOUN
fcis-31663	148	19	i	i	PRON
fcis-31663	148	20	fruit	fruit	VERB
fcis-31663	148	21	30	30	NUM
fcis-31663	148	22	1	1	NUM
fcis-31663	148	23	1	1	NUM
fcis-31663	148	24	32	32	NUM
fcis-31663	148	25	type	type	NOUN
fcis-31663	148	26	ii	ii	NOUN
fcis-31663	148	27	fruit	fruit	NOUN
fcis-31663	148	28	2	2	NUM
fcis-31663	148	29	33	33	NUM
fcis-31663	148	30	0	0	NUM
fcis-31663	148	31	35	35	NUM
fcis-31663	148	32	type	type	NOUN
fcis-31663	148	33	iii	iii	NUM
fcis-31663	148	34	fruit	fruit	NOUN
fcis-31663	148	35	0	0	NUM
fcis-31663	148	36	0	0	NUM
fcis-31663	148	37	27	27	NUM
fcis-31663	148	38	27	27	NUM
fcis-31663	148	39	in	in	ADP
fcis-31663	148	40	total	total	ADJ
fcis-31663	148	41	32	32	NUM
fcis-31663	148	42	34	34	NUM
fcis-31663	148	43	28	28	NUM
fcis-31663	148	44	94	94	NUM
fcis-31663	148	45	based	base	VERB
fcis-31663	148	46	on	on	ADP
fcis-31663	148	47	the	the	DET
fcis-31663	148	48	model	model	NOUN
fcis-31663	148	49	performance	performance	NOUN
fcis-31663	148	50	comparison	comparison	NOUN
fcis-31663	148	51	table	table	NOUN
fcis-31663	148	52	analysis	analysis	NOUN
fcis-31663	148	53	,	,	PUNCT
fcis-31663	148	54	the	the	DET
fcis-31663	148	55	accuracy	accuracy	NOUN
fcis-31663	148	56	rate	rate	NOUN
fcis-31663	148	57	,	,	PUNCT
fcis-31663	148	58	precision	precision	NOUN
fcis-31663	148	59	rate	rate	NOUN
fcis-31663	148	60	,	,	PUNCT
fcis-31663	148	61	recall	recall	NOUN
fcis-31663	148	62	rate	rate	NOUN
fcis-31663	148	63	,	,	PUNCT
fcis-31663	148	64	and	and	CCONJ
fcis-31663	148	65	f1	f1	ADJ
fcis-31663	148	66	score	score	NOUN
fcis-31663	148	67	of	of	ADP
fcis-31663	148	68	the	the	DET
fcis-31663	148	69	bilstm	bilstm	NOUN
fcis-31663	148	70	+	+	CCONJ
fcis-31663	148	71	mha	mha	NOUN
fcis-31663	148	72	model	model	NOUN
fcis-31663	148	73	is	be	AUX
fcis-31663	148	74	all	all	PRON
fcis-31663	148	75	superior	superior	ADJ
fcis-31663	148	76	to	to	ADP
fcis-31663	148	77	those	those	PRON
fcis-31663	148	78	of	of	ADP
fcis-31663	148	79	the	the	DET
fcis-31663	148	80	other	other	ADJ
fcis-31663	148	81	two	two	NUM
fcis-31663	148	82	models	model	NOUN
fcis-31663	148	83	.	.	PUNCT
fcis-31663	149	1	this	this	DET
fcis-31663	149	2	result	result	NOUN
fcis-31663	149	3	indicates	indicate	VERB
fcis-31663	149	4	that	that	SCONJ
fcis-31663	149	5	the	the	DET
fcis-31663	149	6	improvement	improvement	NOUN
fcis-31663	149	7	made	make	VERB
fcis-31663	149	8	to	to	ADP
fcis-31663	149	9	the	the	DET
fcis-31663	149	10	lstm	lstm	PROPN
fcis-31663	149	11	model	model	NOUN
fcis-31663	149	12	in	in	ADP
fcis-31663	149	13	this	this	DET
fcis-31663	149	14	paper	paper	NOUN
fcis-31663	149	15	is	be	AUX
fcis-31663	149	16	more	more	ADV
fcis-31663	149	17	suitable	suitable	ADJ
fcis-31663	149	18	for	for	ADP
fcis-31663	149	19	solving	solve	VERB
fcis-31663	149	20	the	the	DET
fcis-31663	149	21	classification	classification	NOUN
fcis-31663	149	22	problem	problem	NOUN
fcis-31663	149	23	of	of	ADP
fcis-31663	149	24	kiwi	kiwi	NOUN
fcis-31663	149	25	fruit	fruit	NOUN
fcis-31663	149	26	ssc	ssc	NOUN
fcis-31663	149	27	content	content	NOUN
fcis-31663	149	28	in	in	ADP
fcis-31663	149	29	this	this	DET
fcis-31663	149	30	research	research	NOUN
fcis-31663	149	31	.	.	PUNCT
fcis-31663	150	1	the	the	DET
fcis-31663	150	2	confusion	confusion	NOUN
fcis-31663	150	3	matrices	matrix	NOUN
fcis-31663	150	4	of	of	ADP
fcis-31663	150	5	the	the	DET
fcis-31663	150	6	three	three	NUM
fcis-31663	150	7	models	model	NOUN
fcis-31663	150	8	in	in	ADP
fcis-31663	150	9	tables	table	NOUN
fcis-31663	150	10	5	5	NUM
fcis-31663	150	11	,	,	PUNCT
fcis-31663	150	12	7	7	NUM
fcis-31663	150	13	,	,	PUNCT
fcis-31663	150	14	and	and	CCONJ
fcis-31663	150	15	9	9	NUM
fcis-31663	150	16	show	show	VERB
fcis-31663	150	17	their	their	PRON
fcis-31663	150	18	performance	performance	NOUN
fcis-31663	150	19	on	on	ADP
fcis-31663	150	20	different	different	ADJ
fcis-31663	150	21	classifications	classification	NOUN
fcis-31663	150	22	.	.	PUNCT
fcis-31663	151	1	table	table	NOUN
fcis-31663	151	2	5	5	NUM
fcis-31663	151	3	is	be	AUX
fcis-31663	151	4	the	the	DET
fcis-31663	151	5	confusion	confusion	NOUN
fcis-31663	151	6	matrix	matrix	NOUN
fcis-31663	151	7	of	of	ADP
fcis-31663	151	8	the	the	DET
fcis-31663	151	9	lstm	lstm	PROPN
fcis-31663	151	10	network	network	NOUN
fcis-31663	151	11	.	.	PUNCT
fcis-31663	152	1	in	in	ADP
fcis-31663	152	2	each	each	DET
fcis-31663	152	3	category	category	NOUN
fcis-31663	152	4	,	,	PUNCT
fcis-31663	152	5	there	there	PRON
fcis-31663	152	6	will	will	AUX
fcis-31663	152	7	be	be	AUX
fcis-31663	152	8	classification	classification	NOUN
fcis-31663	152	9	errors	error	NOUN
fcis-31663	152	10	.	.	PUNCT
fcis-31663	153	1	table	table	NOUN
fcis-31663	153	2	7	7	NUM
fcis-31663	153	3	is	be	AUX
fcis-31663	153	4	the	the	DET
fcis-31663	153	5	bilstm	bilstm	NOUN
fcis-31663	153	6	model	model	NOUN
fcis-31663	153	7	,	,	PUNCT
fcis-31663	153	8	which	which	PRON
fcis-31663	153	9	has	have	AUX
fcis-31663	153	10	improved	improve	VERB
fcis-31663	153	11	relatively	relatively	ADV
fcis-31663	153	12	compared	compare	VERB
fcis-31663	153	13	to	to	ADP
fcis-31663	153	14	the	the	DET
fcis-31663	153	15	lstm	lstm	PROPN
fcis-31663	153	16	model	model	PROPN
fcis-31663	153	17	.	.	PUNCT
fcis-31663	154	1	table	table	NOUN
fcis-31663	154	2	9	9	NUM
fcis-31663	154	3	,	,	PUNCT
fcis-31663	154	4	after	after	ADP
fcis-31663	154	5	adding	add	VERB
fcis-31663	154	6	the	the	DET
fcis-31663	154	7	multi	multi	ADJ
fcis-31663	154	8	-	-	ADJ
fcis-31663	154	9	head	head	ADJ
fcis-31663	154	10	attention	attention	NOUN
fcis-31663	154	11	mechanism	mechanism	NOUN
fcis-31663	154	12	,	,	PUNCT
fcis-31663	154	13	the	the	DET
fcis-31663	154	14	model	model	NOUN
fcis-31663	154	15	has	have	AUX
fcis-31663	154	16	better	well	ADV
fcis-31663	154	17	improved	improve	VERB
fcis-31663	154	18	the	the	DET
fcis-31663	154	19	accuracy	accuracy	NOUN
fcis-31663	154	20	rate	rate	NOUN
fcis-31663	154	21	of	of	ADP
fcis-31663	154	22	category	category	NOUN
fcis-31663	154	23	i	i	PRON
fcis-31663	154	24	fruits	fruit	NOUN
fcis-31663	154	25	and	and	CCONJ
fcis-31663	154	26	completely	completely	ADV
fcis-31663	154	27	corrected	correct	VERB
fcis-31663	154	28	the	the	DET
fcis-31663	154	29	misclassification	misclassification	NOUN
fcis-31663	154	30	of	of	ADP
fcis-31663	154	31	the	the	DET
fcis-31663	154	32	three	three	NUM
fcis-31663	154	33	categories	category	NOUN
fcis-31663	154	34	of	of	ADP
fcis-31663	154	35	fruits	fruit	NOUN
fcis-31663	154	36	.	.	PUNCT
fcis-31663	155	1	this	this	PRON
fcis-31663	155	2	indicates	indicate	VERB
fcis-31663	155	3	that	that	SCONJ
fcis-31663	155	4	the	the	DET
fcis-31663	155	5	model	model	NOUN
fcis-31663	155	6	can	can	AUX
fcis-31663	155	7	more	more	ADV
fcis-31663	155	8	accurately	accurately	ADV
fcis-31663	155	9	capture	capture	VERB
fcis-31663	155	10	features	feature	NOUN
fcis-31663	155	11	when	when	SCONJ
fcis-31663	155	12	processing	processing	NOUN
fcis-31663	155	13	data	datum	NOUN
fcis-31663	155	14	,	,	PUNCT
fcis-31663	155	15	thereby	thereby	ADV
fcis-31663	155	16	improving	improve	VERB
fcis-31663	155	17	the	the	DET
fcis-31663	155	18	overall	overall	ADJ
fcis-31663	155	19	classification	classification	NOUN
fcis-31663	155	20	accuracy	accuracy	NOUN
fcis-31663	155	21	.	.	PUNCT
fcis-31663	156	1	4	4	X
fcis-31663	156	2	.	.	X
fcis-31663	156	3	conclusion	conclusion	NOUN
fcis-31663	156	4	this	this	DET
fcis-31663	156	5	study	study	NOUN
fcis-31663	156	6	successfully	successfully	ADV
fcis-31663	156	7	achieved	achieve	VERB
fcis-31663	156	8	non	non	ADJ
fcis-31663	156	9	-	-	ADJ
fcis-31663	156	10	destructive	destructive	ADJ
fcis-31663	156	11	detection	detection	NOUN
fcis-31663	156	12	and	and	CCONJ
fcis-31663	156	13	classification	classification	NOUN
fcis-31663	156	14	of	of	ADP
fcis-31663	156	15	kiwi	kiwi	NOUN
fcis-31663	156	16	fruit	fruit	NOUN
fcis-31663	156	17	quality	quality	NOUN
fcis-31663	156	18	by	by	ADP
fcis-31663	156	19	integrating	integrate	VERB
fcis-31663	156	20	nearinfrared	nearinfrare	VERB
fcis-31663	156	21	spectroscopy	spectroscopy	NOUN
fcis-31663	156	22	technology	technology	NOUN
fcis-31663	156	23	with	with	ADP
fcis-31663	156	24	machine	machine	NOUN
fcis-31663	156	25	learning	learning	NOUN
fcis-31663	156	26	and	and	CCONJ
fcis-31663	156	27	deep	deep	ADJ
fcis-31663	156	28	learning	learning	NOUN
fcis-31663	156	29	models	model	NOUN
fcis-31663	156	30	.	.	PUNCT
fcis-31663	157	1	in	in	ADP
fcis-31663	157	2	the	the	DET
fcis-31663	157	3	data	data	NOUN
fcis-31663	157	4	preprocessing	preprocessing	NOUN
fcis-31663	157	5	stage	stage	NOUN
fcis-31663	157	6	,	,	PUNCT
fcis-31663	157	7	considering	consider	VERB
fcis-31663	157	8	the	the	DET
fcis-31663	157	9	noise	noise	NOUN
fcis-31663	157	10	and	and	CCONJ
fcis-31663	157	11	complexity	complexity	NOUN
fcis-31663	157	12	of	of	ADP
fcis-31663	157	13	the	the	DET
fcis-31663	157	14	kiwi	kiwi	NOUN
fcis-31663	157	15	fruit	fruit	NOUN
fcis-31663	157	16	spectral	spectral	ADJ
fcis-31663	157	17	data	datum	NOUN
fcis-31663	157	18	,	,	PUNCT
fcis-31663	157	19	the	the	DET
fcis-31663	157	20	sg	sg	NOUN
fcis-31663	157	21	smoothing	smoothing	NOUN
fcis-31663	157	22	and	and	CCONJ
fcis-31663	157	23	cars	car	NOUN
fcis-31663	157	24	feature	feature	NOUN
fcis-31663	157	25	extraction	extraction	NOUN
fcis-31663	157	26	methods	method	NOUN
fcis-31663	157	27	were	be	AUX
fcis-31663	157	28	adopted	adopt	VERB
fcis-31663	157	29	,	,	PUNCT
fcis-31663	157	30	significantly	significantly	ADV
fcis-31663	157	31	improving	improve	VERB
fcis-31663	157	32	the	the	DET
fcis-31663	157	33	data	datum	NOUN
fcis-31663	157	34	quality	quality	NOUN
fcis-31663	157	35	and	and	CCONJ
fcis-31663	157	36	model	model	NOUN
fcis-31663	157	37	prediction	prediction	NOUN
fcis-31663	157	38	ability	ability	NOUN
fcis-31663	157	39	.	.	PUNCT
fcis-31663	158	1	among	among	ADP
fcis-31663	158	2	them	they	PRON
fcis-31663	158	3	,	,	PUNCT
fcis-31663	158	4	the	the	DET
fcis-31663	158	5	sg+cars	sg+car	NOUN
fcis-31663	158	6	combination	combination	NOUN
fcis-31663	158	7	scheme	scheme	NOUN
fcis-31663	158	8	achieved	achieve	VERB
fcis-31663	158	9	the	the	DET
fcis-31663	158	10	best	good	ADJ
fcis-31663	158	11	results	result	NOUN
fcis-31663	158	12	,	,	PUNCT
fcis-31663	158	13	with	with	ADP
fcis-31663	158	14	an	an	DET
fcis-31663	158	15	accuracy	accuracy	NOUN
fcis-31663	158	16	rate	rate	NOUN
fcis-31663	158	17	of	of	ADP
fcis-31663	158	18	0.8704	0.8704	NUM
fcis-31663	158	19	.	.	PUNCT
fcis-31663	159	1	in	in	ADP
fcis-31663	159	2	terms	term	NOUN
fcis-31663	159	3	of	of	ADP
fcis-31663	159	4	the	the	DET
fcis-31663	159	5	classification	classification	NOUN
fcis-31663	159	6	model	model	NOUN
fcis-31663	159	7	,	,	PUNCT
fcis-31663	159	8	three	three	NUM
fcis-31663	159	9	models	model	NOUN
fcis-31663	159	10	,	,	PUNCT
fcis-31663	159	11	lstm	lstm	NOUN
fcis-31663	159	12	,	,	PUNCT
fcis-31663	159	13	bilstm	bilstm	NOUN
fcis-31663	159	14	,	,	PUNCT
fcis-31663	159	15	and	and	CCONJ
fcis-31663	159	16	bilstm	bilstm	NOUN
fcis-31663	160	1	+	+	CCONJ
fcis-31663	160	2	mha	mha	PROPN
fcis-31663	160	3	,	,	PUNCT
fcis-31663	160	4	were	be	AUX
fcis-31663	160	5	constructed	construct	VERB
fcis-31663	160	6	and	and	CCONJ
fcis-31663	160	7	compared	compare	VERB
fcis-31663	160	8	.	.	PUNCT
fcis-31663	161	1	the	the	DET
fcis-31663	161	2	results	result	NOUN
fcis-31663	161	3	showed	show	VERB
fcis-31663	161	4	that	that	SCONJ
fcis-31663	161	5	the	the	DET
fcis-31663	161	6	bilstm	bilstm	NOUN
fcis-31663	161	7	+	+	CCONJ
fcis-31663	161	8	mha	mha	NOUN
fcis-31663	161	9	model	model	NOUN
fcis-31663	161	10	performed	perform	VERB
fcis-31663	161	11	optimally	optimally	ADV
fcis-31663	161	12	in	in	ADP
fcis-31663	161	13	terms	term	NOUN
fcis-31663	161	14	of	of	ADP
fcis-31663	161	15	accuracy	accuracy	NOUN
fcis-31663	161	16	,	,	PUNCT
fcis-31663	161	17	precision	precision	NOUN
fcis-31663	161	18	,	,	PUNCT
fcis-31663	161	19	recall	recall	NOUN
fcis-31663	161	20	rate	rate	NOUN
fcis-31663	161	21	,	,	PUNCT
fcis-31663	161	22	and	and	CCONJ
fcis-31663	161	23	f1	f1	NOUN
fcis-31663	161	24	value	value	NOUN
fcis-31663	161	25	,	,	PUNCT
fcis-31663	161	26	being	be	AUX
fcis-31663	161	27	0.9574	0.9574	NUM
fcis-31663	161	28	,	,	PUNCT
fcis-31663	161	29	0.9575	0.9575	NUM
fcis-31663	161	30	,	,	PUNCT
fcis-31663	161	31	0.9601	0.9601	NUM
fcis-31663	161	32	,	,	PUNCT
fcis-31663	161	33	and	and	CCONJ
fcis-31663	161	34	0.9586	0.9586	NUM
fcis-31663	161	35	respectively	respectively	ADV
fcis-31663	161	36	.	.	PUNCT
fcis-31663	162	1	this	this	PRON
fcis-31663	162	2	demonstrates	demonstrate	VERB
fcis-31663	162	3	its	its	PRON
fcis-31663	162	4	strong	strong	ADJ
fcis-31663	162	5	generalization	generalization	NOUN
fcis-31663	162	6	ability	ability	NOUN
fcis-31663	162	7	in	in	ADP
fcis-31663	162	8	the	the	DET
fcis-31663	162	9	kiwi	kiwi	NOUN
fcis-31663	162	10	fruit	fruit	NOUN
fcis-31663	162	11	classification	classification	NOUN
fcis-31663	162	12	task	task	NOUN
fcis-31663	162	13	,	,	PUNCT
fcis-31663	162	14	providing	provide	VERB
fcis-31663	162	15	an	an	DET
fcis-31663	162	16	effective	effective	ADJ
fcis-31663	162	17	technical	technical	ADJ
fcis-31663	162	18	path	path	NOUN
fcis-31663	162	19	for	for	ADP
fcis-31663	162	20	fruit	fruit	NOUN
fcis-31663	162	21	quality	quality	NOUN
fcis-31663	162	22	105	105	NUM
fcis-31663	162	23	evaluation	evaluation	NOUN
fcis-31663	162	24	based	base	VERB
fcis-31663	162	25	on	on	ADP
fcis-31663	162	26	near	near	ADV
fcis-31663	162	27	-	-	PUNCT
fcis-31663	162	28	infrared	infrared	ADJ
fcis-31663	162	29	spectroscopy	spectroscopy	NOUN
fcis-31663	162	30	.	.	PUNCT
fcis-31663	163	1	this	this	DET
fcis-31663	163	2	study	study	NOUN
fcis-31663	163	3	indicates	indicate	VERB
fcis-31663	163	4	that	that	SCONJ
fcis-31663	163	5	the	the	DET
fcis-31663	163	6	combination	combination	NOUN
fcis-31663	163	7	of	of	ADP
fcis-31663	163	8	near	near	ADV
fcis-31663	163	9	-	-	PUNCT
fcis-31663	163	10	infrared	infrared	ADJ
fcis-31663	163	11	spectroscopy	spectroscopy	NOUN
fcis-31663	163	12	data	datum	NOUN
fcis-31663	163	13	with	with	ADP
fcis-31663	163	14	deep	deep	ADJ
fcis-31663	163	15	learning	learning	NOUN
fcis-31663	163	16	algorithms	algorithm	NOUN
fcis-31663	163	17	,	,	PUNCT
fcis-31663	163	18	especially	especially	ADV
fcis-31663	163	19	bilstm	bilstm	NOUN
fcis-31663	163	20	and	and	CCONJ
fcis-31663	163	21	multi	multi	ADJ
fcis-31663	163	22	-	-	ADJ
fcis-31663	163	23	head	head	ADJ
fcis-31663	163	24	attention	attention	NOUN
fcis-31663	163	25	mechanism	mechanism	NOUN
fcis-31663	163	26	,	,	PUNCT
fcis-31663	163	27	can	can	AUX
fcis-31663	163	28	effectively	effectively	ADV
fcis-31663	163	29	improve	improve	VERB
fcis-31663	163	30	the	the	DET
fcis-31663	163	31	performance	performance	NOUN
fcis-31663	163	32	of	of	ADP
fcis-31663	163	33	kiwi	kiwi	NOUN
fcis-31663	163	34	fruit	fruit	NOUN
fcis-31663	163	35	quality	quality	NOUN
fcis-31663	163	36	classification	classification	NOUN
fcis-31663	163	37	,	,	PUNCT
fcis-31663	163	38	bringing	bring	VERB
fcis-31663	163	39	new	new	ADJ
fcis-31663	163	40	ideas	idea	NOUN
fcis-31663	163	41	and	and	CCONJ
fcis-31663	163	42	methods	method	NOUN
fcis-31663	163	43	to	to	ADP
fcis-31663	163	44	the	the	DET
fcis-31663	163	45	field	field	NOUN
fcis-31663	163	46	of	of	ADP
fcis-31663	163	47	fruit	fruit	NOUN
fcis-31663	163	48	quality	quality	NOUN
fcis-31663	163	49	detection	detection	NOUN
fcis-31663	163	50	,	,	PUNCT
fcis-31663	163	51	and	and	CCONJ
fcis-31663	163	52	meeting	meet	VERB
fcis-31663	163	53	the	the	DET
fcis-31663	163	54	requirements	requirement	NOUN
fcis-31663	163	55	of	of	ADP
fcis-31663	163	56	modern	modern	ADJ
fcis-31663	163	57	fruit	fruit	NOUN
fcis-31663	163	58	industry	industry	NOUN
fcis-31663	163	59	for	for	ADP
fcis-31663	163	60	rapid	rapid	ADJ
fcis-31663	163	61	and	and	CCONJ
fcis-31663	163	62	non	non	ADJ
fcis-31663	163	63	-	-	ADJ
fcis-31663	163	64	destructive	destructive	ADJ
fcis-31663	163	65	detection	detection	NOUN
fcis-31663	163	66	.	.	PUNCT
fcis-31663	164	1	references	reference	NOUN
fcis-31663	164	2	[	[	X
fcis-31663	164	3	1	1	NUM
fcis-31663	164	4	]	]	X
fcis-31663	164	5	zhang	zhang	PROPN
fcis-31663	164	6	fu	fu	PROPN
fcis-31663	164	7	,	,	PUNCT
fcis-31663	164	8	cao	cao	PROPN
fcis-31663	164	9	weihua	weihua	PROPN
fcis-31663	164	10	,	,	PUNCT
fcis-31663	164	11	cui	cui	PROPN
fcis-31663	164	12	xiahua	xiahua	PROPN
fcis-31663	164	13	,	,	PUNCT
fcis-31663	164	14	et	et	PROPN
fcis-31663	164	15	al	al	PROPN
fcis-31663	164	16	.	.	PUNCT
fcis-31663	165	1	non	non	ADJ
fcis-31663	165	2	-	-	ADJ
fcis-31663	165	3	destructive	destructive	ADJ
fcis-31663	165	4	testing	testing	NOUN
fcis-31663	165	5	of	of	ADP
fcis-31663	165	6	soluble	soluble	ADJ
fcis-31663	165	7	solids	solid	NOUN
fcis-31663	165	8	in	in	ADP
fcis-31663	165	9	cherry	cherry	NOUN
fcis-31663	165	10	tomatoes	tomato	NOUN
fcis-31663	165	11	by	by	ADP
fcis-31663	165	12	visible	visible	ADJ
fcis-31663	165	13	/	/	SYM
fcis-31663	165	14	nearinfrared	nearinfrared	ADJ
fcis-31663	165	15	spectroscopy	spectroscopy	NOUN
fcis-31663	165	16	based	base	VERB
fcis-31663	165	17	on	on	ADP
fcis-31663	165	18	sg	sg	PROPN
fcis-31663	165	19	-	-	PUNCT
fcis-31663	165	20	cars	car	NOUN
fcis-31663	165	21	-	-	PUNCT
fcis-31663	165	22	ibp	ibp	NOUN
fcis-31663	165	23	[	[	X
fcis-31663	165	24	j	j	X
fcis-31663	165	25	]	]	X
fcis-31663	165	26	spectroscopy	spectroscopy	NOUN
fcis-31663	165	27	and	and	CCONJ
fcis-31663	165	28	spectral	spectral	ADJ
fcis-31663	165	29	analysis	analysis	NOUN
fcis-31663	165	30	,	,	PUNCT
fcis-31663	165	31	2023	2023	NUM
fcis-31663	165	32	,	,	PUNCT
fcis-31663	165	33	43	43	NUM
fcis-31663	165	34	(	(	PUNCT
fcis-31663	165	35	03	03	NUM
fcis-31663	165	36	):	):	PUNCT
fcis-31663	165	37	737	737	NUM
fcis-31663	165	38	-	-	SYM
fcis-31663	165	39	743	743	NUM
fcis-31663	165	40	.	.	PUNCT
fcis-31663	166	1	(	(	PUNCT
fcis-31663	166	2	in	in	ADP
fcis-31663	166	3	chinese	chinese	PROPN
fcis-31663	166	4	)	)	PUNCT
fcis-31663	167	1	[	[	X
fcis-31663	167	2	2	2	NUM
fcis-31663	167	3	]	]	X
fcis-31663	167	4	zhou	zhou	PROPN
fcis-31663	167	5	danrong	danrong	PROPN
fcis-31663	167	6	,	,	PUNCT
fcis-31663	167	7	lin	lin	PROPN
fcis-31663	167	8	yanjuan	yanjuan	PROPN
fcis-31663	167	9	,	,	PUNCT
fcis-31663	167	10	fang	fang	PROPN
fcis-31663	167	11	zhizhen	zhizhen	PROPN
fcis-31663	167	12	,	,	PUNCT
fcis-31663	167	13	et	et	PROPN
fcis-31663	167	14	al	al	PROPN
fcis-31663	167	15	.	.	PUNCT
fcis-31663	168	1	screening	screen	VERB
fcis-31663	168	2	of	of	ADP
fcis-31663	168	3	comprehensive	comprehensive	ADJ
fcis-31663	168	4	quality	quality	NOUN
fcis-31663	168	5	evaluation	evaluation	NOUN
fcis-31663	168	6	indicators	indicator	NOUN
fcis-31663	168	7	and	and	CCONJ
fcis-31663	168	8	construction	construction	NOUN
fcis-31663	168	9	of	of	ADP
fcis-31663	168	10	appearance	appearance	NOUN
fcis-31663	168	11	prediction	prediction	NOUN
fcis-31663	168	12	model	model	NOUN
fcis-31663	168	13	during	during	ADP
fcis-31663	168	14	fruit	fruit	NOUN
fcis-31663	168	15	maturity	maturity	NOUN
fcis-31663	168	16	of	of	ADP
fcis-31663	168	17	furong	furong	ADJ
fcis-31663	168	18	plum	plum	NOUN
fcis-31663	168	19	[	[	X
fcis-31663	168	20	j	j	X
fcis-31663	168	21	]	]	X
fcis-31663	168	22	journal	journal	NOUN
fcis-31663	168	23	of	of	ADP
fcis-31663	168	24	food	food	NOUN
fcis-31663	168	25	safety	safety	NOUN
fcis-31663	168	26	and	and	CCONJ
fcis-31663	168	27	quality	quality	NOUN
fcis-31663	168	28	testing	testing	NOUN
fcis-31663	168	29	,	,	PUNCT
fcis-31663	168	30	2024	2024	NUM
fcis-31663	168	31	,	,	PUNCT
fcis-31663	168	32	15	15	NUM
fcis-31663	168	33	(	(	PUNCT
fcis-31663	168	34	12	12	NUM
fcis-31663	168	35	)	)	PUNCT
fcis-31663	168	36	:	:	PUNCT
fcis-31663	168	37	210	210	NUM
fcis-31663	168	38	-	-	SYM
fcis-31663	168	39	219	219	NUM
fcis-31663	168	40	.	.	PUNCT
fcis-31663	169	1	the	the	DET
fcis-31663	169	2	doi	doi	NOUN
fcis-31663	169	3	:	:	PUNCT
fcis-31663	169	4	10.19812	10.19812	NUM
fcis-31663	169	5	/	/	SYM
fcis-31663	169	6	j.carol	j.carol	PROPN
fcis-31663	169	7	carroll	carroll	PROPN
fcis-31663	169	8	nki	nki	PROPN
fcis-31663	169	9	/	/	PUNCT
fcis-31663	169	10	ts	ts	ADP
fcis-31663	169	11	jfsq11	jfsq11	NOUN
fcis-31663	169	12	-	-	PUNCT
fcis-31663	169	13	5956	5956	NUM
fcis-31663	169	14	.	.	PUNCT
fcis-31663	169	15	20240311002	20240311002	NUM
fcis-31663	169	16	.	.	PUNCT
fcis-31663	170	1	(	(	PUNCT
fcis-31663	170	2	in	in	ADP
fcis-31663	170	3	chinese	chinese	PROPN
fcis-31663	170	4	)	)	PUNCT
fcis-31663	171	1	[	[	X
fcis-31663	171	2	3	3	NUM
fcis-31663	171	3	]	]	X
fcis-31663	171	4	bi	bi	ADJ
fcis-31663	171	5	shuhui	shuhui	NOUN
fcis-31663	171	6	,	,	PUNCT
fcis-31663	171	7	li	li	PROPN
fcis-31663	171	8	xue	xue	PROPN
fcis-31663	171	9	,	,	PUNCT
fcis-31663	171	10	shen	shen	PROPN
fcis-31663	171	11	tao	tao	PROPN
fcis-31663	171	12	,	,	PUNCT
fcis-31663	171	13	et	et	PROPN
fcis-31663	172	1	al	al	PROPN
fcis-31663	172	2	.	.	PUNCT
fcis-31663	172	3	apple	apple	NOUN
fcis-31663	172	4	classification	classification	NOUN
fcis-31663	172	5	method	method	NOUN
fcis-31663	172	6	based	base	VERB
fcis-31663	172	7	on	on	ADP
fcis-31663	172	8	multi	multi	ADJ
fcis-31663	172	9	-	-	ADJ
fcis-31663	172	10	model	model	ADJ
fcis-31663	172	11	evidence	evidence	NOUN
fcis-31663	172	12	fusion	fusion	NOUN
fcis-31663	173	1	[	[	X
fcis-31663	173	2	j	j	X
fcis-31663	173	3	]	]	X
fcis-31663	173	4	.	.	PUNCT
fcis-31663	174	1	transactions	transaction	NOUN
fcis-31663	174	2	of	of	ADP
fcis-31663	174	3	the	the	DET
fcis-31663	174	4	chinese	chinese	ADJ
fcis-31663	174	5	society	society	NOUN
fcis-31663	174	6	of	of	ADP
fcis-31663	174	7	agricultural	agricultural	ADJ
fcis-31663	174	8	engineering	engineering	NOUN
fcis-31663	174	9	,	,	PUNCT
fcis-31663	174	10	2022	2022	NUM
fcis-31663	174	11	,	,	PUNCT
fcis-31663	174	12	38	38	NUM
fcis-31663	174	13	(	(	PUNCT
fcis-31663	174	14	13	13	NUM
fcis-31663	174	15	):	):	SYM
fcis-31663	174	16	141	141	NUM
fcis-31663	174	17	-	-	SYM
fcis-31663	174	18	149	149	NUM
fcis-31663	174	19	.	.	PUNCT
fcis-31663	175	1	(	(	PUNCT
fcis-31663	175	2	in	in	ADP
fcis-31663	175	3	chinese	chinese	PROPN
fcis-31663	175	4	)	)	PUNCT
fcis-31663	176	1	[	[	X
fcis-31663	176	2	4	4	X
fcis-31663	176	3	]	]	X
fcis-31663	176	4	mahayothee	mahayothee	PROPN
fcis-31663	176	5	b	b	PROPN
fcis-31663	176	6	,	,	PUNCT
fcis-31663	176	7	rungpichayapichet	rungpichayapichet	NOUN
fcis-31663	176	8	p	p	NOUN
fcis-31663	176	9	,	,	PUNCT
fcis-31663	176	10	yuwanbun	yuwanbun	PROPN
fcis-31663	176	11	p	p	X
fcis-31663	176	12	,	,	PUNCT
fcis-31663	176	13	et	et	PROPN
fcis-31663	176	14	al	al	PROPN
fcis-31663	176	15	.	.	PUNCT
fcis-31663	177	1	temporal	temporal	ADJ
fcis-31663	177	2	changes	change	NOUN
fcis-31663	177	3	in	in	ADP
fcis-31663	177	4	the	the	DET
fcis-31663	177	5	spatial	spatial	ADJ
fcis-31663	177	6	distribution	distribution	NOUN
fcis-31663	177	7	of	of	ADP
fcis-31663	177	8	physicochemical	physicochemical	ADJ
fcis-31663	177	9	properties	property	NOUN
fcis-31663	177	10	during	during	ADP
fcis-31663	177	11	postharvest	postharvest	ADJ
fcis-31663	177	12	ripening	ripening	NOUN
fcis-31663	177	13	of	of	ADP
fcis-31663	177	14	mango	mango	PROPN
fcis-31663	177	15	fruit[j	fruit[j	PROPN
fcis-31663	177	16	]	]	PUNCT
fcis-31663	177	17	.	.	PUNCT
fcis-31663	178	1	journal	journal	PROPN
fcis-31663	178	2	of	of	ADP
fcis-31663	178	3	food	food	NOUN
fcis-31663	178	4	measurement	measurement	NOUN
fcis-31663	178	5	and	and	CCONJ
fcis-31663	178	6	characterization	characterization	NOUN
fcis-31663	178	7	,	,	PUNCT
fcis-31663	178	8	2020	2020	NUM
fcis-31663	178	9	,	,	PUNCT
fcis-31663	178	10	14	14	NUM
fcis-31663	178	11	:	:	SYM
fcis-31663	178	12	992	992	NUM
fcis-31663	178	13	-	-	SYM
fcis-31663	178	14	1001	1001	NUM
fcis-31663	178	15	.	.	PUNCT
fcis-31663	179	1	[	[	X
fcis-31663	179	2	5	5	X
fcis-31663	179	3	]	]	PUNCT
fcis-31663	179	4	graves	grave	VERB
fcis-31663	179	5	a	a	DET
fcis-31663	179	6	,	,	PUNCT
fcis-31663	179	7	schmidhuber	schmidhuber	NOUN
fcis-31663	179	8	j.	j.	PROPN
fcis-31663	179	9	framewise	framewise	PROPN
fcis-31663	179	10	phoneme	phoneme	NOUN
fcis-31663	179	11	classification	classification	NOUN
fcis-31663	179	12	with	with	ADP
fcis-31663	179	13	bidirectional	bidirectional	ADJ
fcis-31663	179	14	lstm	lstm	NOUN
fcis-31663	179	15	and	and	CCONJ
fcis-31663	179	16	other	other	ADJ
fcis-31663	179	17	neural	neural	ADJ
fcis-31663	179	18	network	network	NOUN
fcis-31663	179	19	architectures[j	architectures[j	PROPN
fcis-31663	179	20	]	]	PUNCT
fcis-31663	179	21	.	.	PUNCT
fcis-31663	180	1	neural	neural	ADJ
fcis-31663	180	2	networks	network	NOUN
fcis-31663	180	3	,	,	PUNCT
fcis-31663	180	4	2005	2005	NUM
fcis-31663	180	5	,	,	PUNCT
fcis-31663	180	6	18(5	18(5	PROPN
fcis-31663	180	7	-	-	SYM
fcis-31663	180	8	6	6	NUM
fcis-31663	180	9	):	):	PUNCT
fcis-31663	180	10	602	602	NUM
fcis-31663	180	11	-	-	SYM
fcis-31663	180	12	610	610	NUM
fcis-31663	180	13	.	.	PUNCT
fcis-31663	181	1	[	[	X
fcis-31663	181	2	6	6	NUM
fcis-31663	181	3	]	]	X
fcis-31663	181	4	gullifa	gullifa	NOUN
fcis-31663	181	5	g	g	PROPN
fcis-31663	181	6	,	,	PUNCT
fcis-31663	181	7	barone	barone	PROPN
fcis-31663	181	8	l	l	PROPN
fcis-31663	181	9	,	,	PUNCT
fcis-31663	181	10	papa	papa	NOUN
fcis-31663	181	11	e	e	NOUN
fcis-31663	181	12	,	,	PUNCT
fcis-31663	181	13	et	et	PROPN
fcis-31663	181	14	al	al	PROPN
fcis-31663	181	15	.	.	PUNCT
fcis-31663	181	16	portable	portable	ADJ
fcis-31663	181	17	nir	nir	ADJ
fcis-31663	181	18	spectroscopy	spectroscopy	NOUN
fcis-31663	181	19	:	:	PUNCT
fcis-31663	181	20	the	the	DET
fcis-31663	181	21	route	route	NOUN
fcis-31663	181	22	to	to	ADP
fcis-31663	181	23	green	green	ADJ
fcis-31663	181	24	analytical	analytical	ADJ
fcis-31663	181	25	chemistry[j	chemistry[j	NOUN
fcis-31663	181	26	]	]	PUNCT
fcis-31663	181	27	.	.	PUNCT
fcis-31663	182	1	frontiers	frontier	NOUN
fcis-31663	182	2	in	in	ADP
fcis-31663	182	3	chemistry	chemistry	NOUN
fcis-31663	182	4	,	,	PUNCT
fcis-31663	182	5	2023	2023	NUM
fcis-31663	182	6	,	,	PUNCT
fcis-31663	182	7	11	11	NUM
fcis-31663	182	8	:	:	SYM
fcis-31663	182	9	1214825	1214825	NUM
fcis-31663	182	10	.	.	PUNCT
fcis-31663	183	1	[	[	X
fcis-31663	183	2	7	7	X
fcis-31663	183	3	]	]	X
fcis-31663	183	4	vaswani	vaswani	ADJ
fcis-31663	183	5	a.	a.	NOUN
fcis-31663	183	6	attention	attention	NOUN
fcis-31663	183	7	is	be	AUX
fcis-31663	183	8	all	all	PRON
fcis-31663	183	9	you	you	PRON
fcis-31663	183	10	need[j	need[j	VERB
fcis-31663	183	11	]	]	PUNCT
fcis-31663	183	12	.	.	PUNCT
fcis-31663	184	1	advances	advance	NOUN
fcis-31663	184	2	in	in	ADP
fcis-31663	184	3	neural	neural	ADJ
fcis-31663	184	4	information	information	NOUN
fcis-31663	184	5	processing	processing	NOUN
fcis-31663	184	6	systems	system	NOUN
fcis-31663	184	7	,	,	PUNCT
fcis-31663	184	8	2017	2017	NUM
fcis-31663	184	9	.	.	PUNCT