id	sid	tid	token	lemma	pos
fet-26529	1	1	frontiers	frontier	NOUN
fet-26529	1	2	in	in	ADP
fet-26529	1	3	education	education	NOUN
fet-26529	1	4	technology	technology	NOUN
fet-26529	1	5	vol	vol	NOUN
fet-26529	1	6	.	.	PROPN
fet-26529	1	7	6	6	NUM
fet-26529	1	8	,	,	PUNCT
fet-26529	1	9	no.2	no.2	PROPN
fet-26529	1	10	,	,	PUNCT
fet-26529	1	11	2023	2023	NUM
fet-26529	1	12	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	1	13	issn	issn	VERB
fet-26529	1	14	2576	2576	NUM
fet-26529	1	15	-	-	SYM
fet-26529	1	16	1846	1846	NUM
fet-26529	1	17	(	(	PUNCT
fet-26529	1	18	print	print	NOUN
fet-26529	1	19	)	)	PUNCT
fet-26529	1	20	issn	issn	PROPN
fet-26529	1	21	2576	2576	NUM
fet-26529	1	22	-	-	SYM
fet-26529	1	23	1854	1854	NUM
fet-26529	1	24	(	(	PUNCT
fet-26529	1	25	online	online	ADJ
fet-26529	1	26	)	)	PUNCT
fet-26529	1	27	142	142	NUM
fet-26529	1	28	original	original	ADJ
fet-26529	1	29	paper	paper	NOUN
fet-26529	1	30	research	research	NOUN
fet-26529	1	31	on	on	ADP
fet-26529	1	32	fire	fire	NOUN
fet-26529	1	33	detection	detection	NOUN
fet-26529	1	34	in	in	ADP
fet-26529	1	35	laboratories	laboratory	NOUN
fet-26529	1	36	based	base	VERB
fet-26529	1	37	on	on	ADP
fet-26529	1	38	cnn	cnn	PROPN
fet-26529	1	39	and	and	CCONJ
fet-26529	1	40	transfer	transfer	NOUN
fet-26529	1	41	learning	learn	VERB
fet-26529	1	42	ke	ke	NOUN
fet-26529	1	43	liu1	liu1	PROPN
fet-26529	1	44	1	1	NUM
fet-26529	1	45	assets	asset	NOUN
fet-26529	1	46	and	and	CCONJ
fet-26529	1	47	equipment	equipment	NOUN
fet-26529	1	48	department	department	NOUN
fet-26529	1	49	,	,	PUNCT
fet-26529	1	50	xi’an	xi’an	PROPN
fet-26529	1	51	medical	medical	PROPN
fet-26529	1	52	university	university	PROPN
fet-26529	1	53	,	,	PUNCT
fet-26529	1	54	xi’an	xi’an	PROPN
fet-26529	1	55	,	,	PUNCT
fet-26529	1	56	shaanxi	shaanxi	PROPN
fet-26529	1	57	,	,	PUNCT
fet-26529	1	58	china	china	PROPN
fet-26529	1	59	received	receive	VERB
fet-26529	1	60	:	:	PUNCT
fet-26529	1	61	april	april	PROPN
fet-26529	1	62	25	25	NUM
fet-26529	1	63	,	,	PUNCT
fet-26529	1	64	2023	2023	NUM
fet-26529	1	65	accepted	accept	VERB
fet-26529	1	66	:	:	PUNCT
fet-26529	1	67	may19	may19	NOUN
fet-26529	1	68	,	,	PUNCT
fet-26529	1	69	2023	2023	NUM
fet-26529	1	70	online	online	ADV
fet-26529	1	71	published	publish	VERB
fet-26529	1	72	:	:	PUNCT
fet-26529	1	73	june	june	PROPN
fet-26529	1	74	12	12	NUM
fet-26529	1	75	,	,	PUNCT
fet-26529	1	76	2023	2023	NUM
fet-26529	1	77	doi:10.22158	doi:10.22158	NOUN
fet-26529	1	78	/	/	SYM
fet-26529	1	79	fet.v6n2p142	fet.v6n2p142	PROPN
fet-26529	1	80	url	url	PROPN
fet-26529	1	81	:	:	PUNCT
fet-26529	1	82	http://dx.doi.org/10.22158/fet.v6n2p142	http://dx.doi.org/10.22158/fet.v6n2p142	PROPN
fet-26529	1	83	abstract	abstract	NOUN
fet-26529	1	84	to	to	PART
fet-26529	1	85	solve	solve	VERB
fet-26529	1	86	the	the	DET
fet-26529	1	87	problem	problem	NOUN
fet-26529	1	88	that	that	DET
fet-26529	1	89	model	model	NOUN
fet-26529	1	90	may	may	AUX
fet-26529	1	91	not	not	PART
fet-26529	1	92	be	be	AUX
fet-26529	1	93	convergent	convergent	NOUN
fet-26529	1	94	owing	owe	VERB
fet-26529	1	95	to	to	ADP
fet-26529	1	96	datasets	dataset	NOUN
fet-26529	1	97	with	with	ADP
fet-26529	1	98	small	small	ADJ
fet-26529	1	99	sample	sample	NOUN
fet-26529	1	100	sizes	size	NOUN
fet-26529	1	101	results	result	VERB
fet-26529	1	102	from	from	ADP
fet-26529	1	103	the	the	DET
fet-26529	1	104	secrecy	secrecy	NOUN
fet-26529	1	105	of	of	ADP
fet-26529	1	106	labs	lab	NOUN
fet-26529	1	107	,	,	PUNCT
fet-26529	1	108	a	a	DET
fet-26529	1	109	fire	fire	NOUN
fet-26529	1	110	detection	detection	NOUN
fet-26529	1	111	method	method	NOUN
fet-26529	1	112	for	for	ADP
fet-26529	1	113	lab	lab	NOUN
fet-26529	1	114	fire	fire	NOUN
fet-26529	1	115	detection	detection	NOUN
fet-26529	1	116	based	base	VERB
fet-26529	1	117	on	on	ADP
fet-26529	1	118	cnn	cnn	PROPN
fet-26529	1	119	(	(	PUNCT
fet-26529	1	120	convolutional	convolutional	ADJ
fet-26529	1	121	neural	neural	ADJ
fet-26529	1	122	network	network	NOUN
fet-26529	1	123	)	)	PUNCT
fet-26529	1	124	and	and	CCONJ
fet-26529	1	125	transfer	transfer	NOUN
fet-26529	1	126	leaning	lean	VERB
fet-26529	1	127	is	be	AUX
fet-26529	1	128	proposed	propose	VERB
fet-26529	1	129	.	.	PUNCT
fet-26529	2	1	experiments	experiment	NOUN
fet-26529	2	2	of	of	ADP
fet-26529	2	3	transfer	transfer	NOUN
fet-26529	2	4	learning	learning	NOUN
fet-26529	2	5	were	be	AUX
fet-26529	2	6	conducted	conduct	VERB
fet-26529	2	7	with	with	ADP
fet-26529	2	8	configuration	configuration	NOUN
fet-26529	2	9	of	of	ADP
fet-26529	2	10	super	super	ADJ
fet-26529	2	11	parameters	parameter	NOUN
fet-26529	2	12	and	and	CCONJ
fet-26529	2	13	a	a	DET
fet-26529	2	14	small	small	ADJ
fet-26529	2	15	lab	lab	NOUN
fet-26529	2	16	fire	fire	NOUN
fet-26529	2	17	dataset	dataset	NOUN
fet-26529	2	18	,	,	PUNCT
fet-26529	2	19	whose	whose	DET
fet-26529	2	20	pre	pre	ADJ
fet-26529	2	21	-	-	ADJ
fet-26529	2	22	trained	train	VERB
fet-26529	2	23	models	model	NOUN
fet-26529	2	24	are	be	AUX
fet-26529	2	25	googlenet	googlenet	NOUN
fet-26529	2	26	,	,	PUNCT
fet-26529	2	27	resnet	resnet	NOUN
fet-26529	2	28	and	and	CCONJ
fet-26529	2	29	mobilenet	mobilenet	NOUN
fet-26529	2	30	trained	train	VERB
fet-26529	2	31	with	with	ADP
fet-26529	2	32	imagenet	imagenet	NOUN
fet-26529	2	33	dataset	dataset	NOUN
fet-26529	2	34	.	.	PUNCT
fet-26529	3	1	we	we	PRON
fet-26529	3	2	analyze	analyze	VERB
fet-26529	3	3	and	and	CCONJ
fet-26529	3	4	assess	assess	VERB
fet-26529	3	5	the	the	DET
fet-26529	3	6	loss	loss	NOUN
fet-26529	3	7	function	function	NOUN
fet-26529	3	8	curve	curve	NOUN
fet-26529	3	9	and	and	CCONJ
fet-26529	3	10	the	the	DET
fet-26529	3	11	performances	performance	NOUN
fet-26529	3	12	of	of	ADP
fet-26529	3	13	the	the	DET
fet-26529	3	14	above	above	ADJ
fet-26529	3	15	models	model	NOUN
fet-26529	3	16	.	.	PUNCT
fet-26529	4	1	result	result	NOUN
fet-26529	4	2	shows	show	VERB
fet-26529	4	3	that	that	SCONJ
fet-26529	4	4	moblienet	moblienet	NOUN
fet-26529	4	5	model	model	NOUN
fet-26529	4	6	is	be	AUX
fet-26529	4	7	chosen	choose	VERB
fet-26529	4	8	to	to	PART
fet-26529	4	9	be	be	AUX
fet-26529	4	10	the	the	DET
fet-26529	4	11	optimum	optimum	ADJ
fet-26529	4	12	model	model	NOUN
fet-26529	4	13	for	for	ADP
fet-26529	4	14	fire	fire	NOUN
fet-26529	4	15	detection	detection	NOUN
fet-26529	4	16	,	,	PUNCT
fet-26529	4	17	providing	provide	VERB
fet-26529	4	18	a	a	DET
fet-26529	4	19	reference	reference	NOUN
fet-26529	4	20	to	to	ADP
fet-26529	4	21	lab	lab	NOUN
fet-26529	4	22	fire	fire	NOUN
fet-26529	4	23	detection	detection	NOUN
fet-26529	4	24	with	with	ADP
fet-26529	4	25	small	small	ADJ
fet-26529	4	26	sample	sample	NOUN
fet-26529	4	27	size	size	NOUN
fet-26529	4	28	datasets	dataset	NOUN
fet-26529	4	29	.	.	PUNCT
fet-26529	5	1	different	different	ADJ
fet-26529	5	2	from	from	ADP
fet-26529	5	3	artificial	artificial	ADJ
fet-26529	5	4	fire	fire	NOUN
fet-26529	5	5	surveillance	surveillance	NOUN
fet-26529	5	6	,	,	PUNCT
fet-26529	5	7	the	the	DET
fet-26529	5	8	proposed	propose	VERB
fet-26529	5	9	method	method	NOUN
fet-26529	5	10	based	base	VERB
fet-26529	5	11	on	on	ADP
fet-26529	5	12	cnn	cnn	PROPN
fet-26529	5	13	and	and	CCONJ
fet-26529	5	14	transfer	transfer	NOUN
fet-26529	5	15	learning	learning	NOUN
fet-26529	5	16	realize	realize	VERB
fet-26529	5	17	real	real	ADJ
fet-26529	5	18	-	-	PUNCT
fet-26529	5	19	time	time	NOUN
fet-26529	5	20	,	,	PUNCT
fet-26529	5	21	autonomy	autonomy	NOUN
fet-26529	5	22	and	and	CCONJ
fet-26529	5	23	efficient	efficient	ADJ
fet-26529	5	24	fire	fire	NOUN
fet-26529	5	25	detection	detection	NOUN
fet-26529	5	26	.	.	PUNCT
fet-26529	6	1	keywords	keyword	VERB
fet-26529	6	2	cnn	cnn	PROPN
fet-26529	6	3	,	,	PUNCT
fet-26529	6	4	transfer	transfer	NOUN
fet-26529	6	5	learning	learning	NOUN
fet-26529	6	6	,	,	PUNCT
fet-26529	6	7	indoor	indoor	ADJ
fet-26529	6	8	fire	fire	NOUN
fet-26529	6	9	detection	detection	NOUN
fet-26529	6	10	,	,	PUNCT
fet-26529	6	11	lab	lab	NOUN
fet-26529	6	12	safety	safety	NOUN
fet-26529	6	13	1	1	NUM
fet-26529	6	14	.	.	PUNCT
fet-26529	7	1	introduction	introduction	NOUN
fet-26529	7	2	laboratory	laboratory	NOUN
fet-26529	7	3	fires	fire	NOUN
fet-26529	7	4	are	be	AUX
fet-26529	7	5	characterized	characterize	VERB
fet-26529	7	6	by	by	ADP
fet-26529	7	7	an	an	DET
fet-26529	7	8	initial	initial	ADJ
fet-26529	7	9	small	small	ADJ
fet-26529	7	10	range	range	NOUN
fet-26529	7	11	that	that	PRON
fet-26529	7	12	gradually	gradually	ADV
fet-26529	7	13	expands	expand	VERB
fet-26529	7	14	before	before	ADP
fet-26529	7	15	suddenly	suddenly	ADV
fet-26529	7	16	spreading	spread	VERB
fet-26529	7	17	,	,	PUNCT
fet-26529	7	18	often	often	ADV
fet-26529	7	19	resulting	result	VERB
fet-26529	7	20	in	in	ADP
fet-26529	7	21	incalculable	incalculable	ADJ
fet-26529	7	22	losses	loss	NOUN
fet-26529	7	23	once	once	ADV
fet-26529	7	24	detected	detect	VERB
fet-26529	7	25	.	.	PUNCT
fet-26529	8	1	the	the	DET
fet-26529	8	2	presence	presence	NOUN
fet-26529	8	3	of	of	ADP
fet-26529	8	4	flammable	flammable	ADJ
fet-26529	8	5	and	and	CCONJ
fet-26529	8	6	explosive	explosive	ADJ
fet-26529	8	7	chemicals	chemical	NOUN
fet-26529	8	8	in	in	ADP
fet-26529	8	9	laboratories	laboratory	NOUN
fet-26529	8	10	can	can	AUX
fet-26529	8	11	further	far	ADV
fet-26529	8	12	accelerate	accelerate	VERB
fet-26529	8	13	the	the	DET
fet-26529	8	14	fire	fire	NOUN
fet-26529	8	15	’s	’s	PART
fet-26529	8	16	spread	spread	NOUN
fet-26529	8	17	,	,	PUNCT
fet-26529	8	18	posing	pose	VERB
fet-26529	8	19	a	a	DET
fet-26529	8	20	significant	significant	ADJ
fet-26529	8	21	safety	safety	NOUN
fet-26529	8	22	threat	threat	NOUN
fet-26529	8	23	to	to	ADP
fet-26529	8	24	laboratory	laboratory	NOUN
fet-26529	8	25	personnel	personnel	NOUN
fet-26529	8	26	and	and	CCONJ
fet-26529	8	27	expensive	expensive	ADJ
fet-26529	8	28	experimental	experimental	ADJ
fet-26529	8	29	equipment	equipment	NOUN
fet-26529	8	30	(	(	PUNCT
fet-26529	8	31	wilbraham	wilbraham	PROPN
fet-26529	8	32	,	,	PUNCT
fet-26529	8	33	1979	1979	NUM
fet-26529	8	34	;	;	PUNCT
fet-26529	8	35	gray	gray	ADJ
fet-26529	8	36	,	,	PUNCT
fet-26529	8	37	2003	2003	NUM
fet-26529	8	38	;	;	PUNCT
fet-26529	8	39	dupuy	dupuy	PROPN
fet-26529	8	40	&	&	CCONJ
fet-26529	8	41	maréchal	maréchal	PROPN
fet-26529	8	42	,	,	PUNCT
fet-26529	8	43	2011	2011	NUM
fet-26529	8	44	)	)	PUNCT
fet-26529	8	45	.	.	PUNCT
fet-26529	9	1	while	while	SCONJ
fet-26529	9	2	many	many	ADJ
fet-26529	9	3	laboratories	laboratory	NOUN
fet-26529	9	4	currently	currently	ADV
fet-26529	9	5	use	use	VERB
fet-26529	9	6	camera	camera	NOUN
fet-26529	9	7	-	-	PUNCT
fet-26529	9	8	equipped	equip	VERB
fet-26529	9	9	monitoring	monitoring	NOUN
fet-26529	9	10	methods	method	NOUN
fet-26529	9	11	to	to	PART
fet-26529	9	12	detect	detect	VERB
fet-26529	9	13	potential	potential	ADJ
fet-26529	9	14	danger	danger	NOUN
fet-26529	9	15	,	,	PUNCT
fet-26529	9	16	human	human	ADJ
fet-26529	9	17	intervention	intervention	NOUN
fet-26529	9	18	is	be	AUX
fet-26529	9	19	still	still	ADV
fet-26529	9	20	necessary	necessary	ADJ
fet-26529	9	21	.	.	PUNCT
fet-26529	10	1	this	this	PRON
fet-26529	10	2	can	can	AUX
fet-26529	10	3	not	not	PART
fet-26529	10	4	guarantee	guarantee	VERB
fet-26529	10	5	the	the	DET
fet-26529	10	6	prompt	prompt	ADJ
fet-26529	10	7	identification	identification	NOUN
fet-26529	10	8	and	and	CCONJ
fet-26529	10	9	response	response	NOUN
fet-26529	10	10	to	to	ADP
fet-26529	10	11	laboratory	laboratory	NOUN
fet-26529	10	12	fires	fire	NOUN
fet-26529	10	13	.	.	PUNCT
fet-26529	11	1	artificial	artificial	ADJ
fet-26529	11	2	intelligence	intelligence	NOUN
fet-26529	11	3	and	and	CCONJ
fet-26529	11	4	deep	deep	ADJ
fet-26529	11	5	learning	learning	NOUN
fet-26529	11	6	technology	technology	NOUN
fet-26529	11	7	has	have	AUX
fet-26529	11	8	made	make	VERB
fet-26529	11	9	remarkable	remarkable	ADJ
fet-26529	11	10	progress	progress	NOUN
fet-26529	11	11	in	in	ADP
fet-26529	11	12	recent	recent	ADJ
fet-26529	11	13	years	year	NOUN
fet-26529	11	14	,	,	PUNCT
fet-26529	11	15	leading	lead	VERB
fet-26529	11	16	to	to	ADP
fet-26529	11	17	the	the	DET
fet-26529	11	18	rapid	rapid	ADJ
fet-26529	11	19	development	development	NOUN
fet-26529	11	20	and	and	CCONJ
fet-26529	11	21	widespread	widespread	ADJ
fet-26529	11	22	use	use	NOUN
fet-26529	11	23	of	of	ADP
fet-26529	11	24	image	image	NOUN
fet-26529	11	25	classification	classification	NOUN
fet-26529	11	26	and	and	CCONJ
fet-26529	11	27	recognition	recognition	NOUN
fet-26529	11	28	technology	technology	NOUN
fet-26529	11	29	.	.	PUNCT
fet-26529	12	1	facial	facial	ADJ
fet-26529	12	2	recognition	recognition	NOUN
fet-26529	12	3	and	and	CCONJ
fet-26529	12	4	augmented	augment	VERB
fet-26529	12	5	virtual	virtual	ADJ
fet-26529	12	6	reality	reality	NOUN
fet-26529	12	7	are	be	AUX
fet-26529	12	8	now	now	ADV
fet-26529	12	9	deployed	deploy	VERB
fet-26529	12	10	on	on	ADP
fet-26529	12	11	mainstream	mainstream	NOUN
fet-26529	12	12	portable	portable	ADJ
fet-26529	12	13	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	12	14	frontiers	frontier	NOUN
fet-26529	12	15	in	in	ADP
fet-26529	12	16	education	education	NOUN
fet-26529	12	17	technology	technology	NOUN
fet-26529	12	18	vol	vol	NOUN
fet-26529	12	19	.	.	PROPN
fet-26529	13	1	6	6	NUM
fet-26529	13	2	,	,	PUNCT
fet-26529	13	3	no	no	INTJ
fet-26529	13	4	.	.	NOUN
fet-26529	13	5	2	2	NUM
fet-26529	13	6	,	,	PUNCT
fet-26529	13	7	2023	2023	NUM
fet-26529	13	8	143	143	NUM
fet-26529	13	9	published	publish	VERB
fet-26529	13	10	by	by	ADP
fet-26529	13	11	scholink	scholink	PROPN
fet-26529	13	12	inc	inc	PROPN
fet-26529	13	13	.	.	PROPN
fet-26529	13	14	devices	device	NOUN
fet-26529	13	15	,	,	PUNCT
fet-26529	13	16	while	while	SCONJ
fet-26529	13	17	license	license	NOUN
fet-26529	13	18	plate	plate	NOUN
fet-26529	13	19	recognition	recognition	NOUN
fet-26529	13	20	and	and	CCONJ
fet-26529	13	21	assisted	assist	VERB
fet-26529	13	22	driving	driving	NOUN
fet-26529	13	23	are	be	AUX
fet-26529	13	24	applied	apply	VERB
fet-26529	13	25	in	in	ADP
fet-26529	13	26	the	the	DET
fet-26529	13	27	commercial	commercial	ADJ
fet-26529	13	28	field	field	NOUN
fet-26529	13	29	and	and	CCONJ
fet-26529	13	30	promote	promote	VERB
fet-26529	13	31	the	the	DET
fet-26529	13	32	construction	construction	NOUN
fet-26529	13	33	of	of	ADP
fet-26529	13	34	smart	smart	ADJ
fet-26529	13	35	cities	city	NOUN
fet-26529	13	36	(	(	PUNCT
fet-26529	13	37	raji	raji	PROPN
fet-26529	13	38	&	&	CCONJ
fet-26529	13	39	fried	fried	PROPN
fet-26529	13	40	,	,	PUNCT
fet-26529	13	41	2021	2021	NUM
fet-26529	13	42	;	;	PUNCT
fet-26529	13	43	du	du	PROPN
fet-26529	13	44	,	,	PUNCT
fet-26529	13	45	ibrahim	ibrahim	PROPN
fet-26529	13	46	,	,	PUNCT
fet-26529	13	47	shehata	shehata	PROPN
fet-26529	13	48	,	,	PUNCT
fet-26529	13	49	&	&	CCONJ
fet-26529	13	50	badawy	badawy	PROPN
fet-26529	13	51	,	,	PUNCT
fet-26529	13	52	2012	2012	NUM
fet-26529	13	53	;	;	PUNCT
fet-26529	13	54	silva	silva	PROPN
fet-26529	13	55	,	,	PUNCT
fet-26529	13	56	khan	khan	PROPN
fet-26529	13	57	,	,	PUNCT
fet-26529	13	58	&	&	CCONJ
fet-26529	13	59	han	han	PROPN
fet-26529	13	60	,	,	PUNCT
fet-26529	13	61	2018	2018	NUM
fet-26529	13	62	)	)	PUNCT
fet-26529	13	63	.	.	PUNCT
fet-26529	14	1	in	in	ADP
fet-26529	14	2	comparison	comparison	NOUN
fet-26529	14	3	to	to	ADP
fet-26529	14	4	traditional	traditional	ADJ
fet-26529	14	5	image	image	NOUN
fet-26529	14	6	recognition	recognition	NOUN
fet-26529	14	7	technologies	technology	NOUN
fet-26529	14	8	,	,	PUNCT
fet-26529	14	9	deep	deep	ADJ
fet-26529	14	10	learning	learning	NOUN
fet-26529	14	11	-	-	PUNCT
fet-26529	14	12	based	base	VERB
fet-26529	14	13	image	image	NOUN
fet-26529	14	14	classification	classification	NOUN
fet-26529	14	15	and	and	CCONJ
fet-26529	14	16	recognition	recognition	NOUN
fet-26529	14	17	technology	technology	NOUN
fet-26529	14	18	effectively	effectively	ADV
fet-26529	14	19	achieve	achieve	VERB
fet-26529	14	20	fire	fire	NOUN
fet-26529	14	21	detection	detection	NOUN
fet-26529	14	22	and	and	CCONJ
fet-26529	14	23	emergency	emergency	NOUN
fet-26529	14	24	response	response	NOUN
fet-26529	14	25	by	by	ADP
fet-26529	14	26	continuously	continuously	ADV
fet-26529	14	27	training	train	VERB
fet-26529	14	28	and	and	CCONJ
fet-26529	14	29	learning	learn	VERB
fet-26529	14	30	from	from	ADP
fet-26529	14	31	sample	sample	NOUN
fet-26529	14	32	data	datum	NOUN
fet-26529	14	33	,	,	PUNCT
fet-26529	14	34	dynamically	dynamically	ADV
fet-26529	14	35	optimizing	optimize	VERB
fet-26529	14	36	models	model	NOUN
fet-26529	14	37	and	and	CCONJ
fet-26529	14	38	collaborating	collaborate	VERB
fet-26529	14	39	with	with	ADP
fet-26529	14	40	laboratory	laboratory	NOUN
fet-26529	14	41	alarm	alarm	NOUN
fet-26529	14	42	systems	system	NOUN
fet-26529	14	43	.	.	PUNCT
fet-26529	15	1	among	among	ADP
fet-26529	15	2	various	various	ADJ
fet-26529	15	3	deep	deep	ADJ
fet-26529	15	4	learning	learning	NOUN
fet-26529	15	5	algorithms	algorithm	NOUN
fet-26529	15	6	,	,	PUNCT
fet-26529	15	7	convolutional	convolutional	ADJ
fet-26529	15	8	neural	neural	ADJ
fet-26529	15	9	network	network	NOUN
fet-26529	15	10	(	(	PUNCT
fet-26529	15	11	cnn	cnn	PROPN
fet-26529	15	12	)	)	PUNCT
fet-26529	15	13	excels	excel	VERB
fet-26529	15	14	in	in	ADP
fet-26529	15	15	reducing	reduce	VERB
fet-26529	15	16	model	model	NOUN
fet-26529	15	17	complexity	complexity	NOUN
fet-26529	15	18	,	,	PUNCT
fet-26529	15	19	making	make	VERB
fet-26529	15	20	it	it	PRON
fet-26529	15	21	widely	widely	ADV
fet-26529	15	22	used	use	VERB
fet-26529	15	23	in	in	ADP
fet-26529	15	24	image	image	NOUN
fet-26529	15	25	classification	classification	NOUN
fet-26529	15	26	and	and	CCONJ
fet-26529	15	27	recognition	recognition	NOUN
fet-26529	15	28	technology	technology	NOUN
fet-26529	15	29	(	(	PUNCT
fet-26529	15	30	alzubaidi	alzubaidi	VERB
fet-26529	15	31	et	et	PROPN
fet-26529	15	32	al	al	PROPN
fet-26529	15	33	.	.	PROPN
fet-26529	15	34	,	,	PUNCT
fet-26529	15	35	2021	2021	NUM
fet-26529	15	36	;	;	PUNCT
fet-26529	15	37	kaur	kaur	PROPN
fet-26529	15	38	et	et	PROPN
fet-26529	15	39	al	al	PROPN
fet-26529	15	40	.	.	PROPN
fet-26529	15	41	,	,	PUNCT
fet-26529	15	42	2022	2022	NUM
fet-26529	15	43	;	;	PUNCT
fet-26529	15	44	chauhan	chauhan	PROPN
fet-26529	15	45	,	,	PUNCT
fet-26529	15	46	ghanshala	ghanshala	PROPN
fet-26529	15	47	,	,	PUNCT
fet-26529	15	48	&	&	CCONJ
fet-26529	15	49	joshi	joshi	PROPN
fet-26529	15	50	,	,	PUNCT
fet-26529	15	51	2018	2018	NUM
fet-26529	15	52	)	)	PUNCT
fet-26529	15	53	.	.	PUNCT
fet-26529	16	1	however	however	ADV
fet-26529	16	2	,	,	PUNCT
fet-26529	16	3	massive	massive	ADJ
fet-26529	16	4	amounts	amount	NOUN
fet-26529	16	5	of	of	ADP
fet-26529	16	6	data	datum	NOUN
fet-26529	16	7	are	be	AUX
fet-26529	16	8	required	require	VERB
fet-26529	16	9	for	for	ADP
fet-26529	16	10	deep	deep	ADJ
fet-26529	16	11	learning	learning	NOUN
fet-26529	16	12	leading	lead	VERB
fet-26529	16	13	to	to	ADP
fet-26529	16	14	issues	issue	NOUN
fet-26529	16	15	related	relate	VERB
fet-26529	16	16	to	to	ADP
fet-26529	16	17	personal	personal	ADJ
fet-26529	16	18	privacy	privacy	NOUN
fet-26529	16	19	or	or	CCONJ
fet-26529	16	20	business	business	NOUN
fet-26529	16	21	secrets	secret	NOUN
fet-26529	16	22	.	.	PUNCT
fet-26529	17	1	to	to	PART
fet-26529	17	2	address	address	VERB
fet-26529	17	3	this	this	DET
fet-26529	17	4	problem	problem	NOUN
fet-26529	17	5	,	,	PUNCT
fet-26529	17	6	transfer	transfer	NOUN
fet-26529	17	7	learning	learning	NOUN
fet-26529	17	8	is	be	AUX
fet-26529	17	9	often	often	ADV
fet-26529	17	10	employed	employ	VERB
fet-26529	17	11	(	(	PUNCT
fet-26529	17	12	weiss	weiss	PROPN
fet-26529	17	13	,	,	PUNCT
fet-26529	17	14	khoshgoftaar	khoshgoftaar	PROPN
fet-26529	17	15	,	,	PUNCT
fet-26529	17	16	&	&	CCONJ
fet-26529	17	17	wang	wang	PROPN
fet-26529	17	18	,	,	PUNCT
fet-26529	17	19	2016	2016	NUM
fet-26529	17	20	;	;	PUNCT
fet-26529	17	21	torrey	torrey	PROPN
fet-26529	17	22	&	&	CCONJ
fet-26529	17	23	shavlik	shavlik	PROPN
fet-26529	17	24	,	,	PUNCT
fet-26529	17	25	2010	2010	NUM
fet-26529	17	26	;	;	PUNCT
fet-26529	17	27	zhuang	zhuang	PROPN
fet-26529	17	28	et	et	PROPN
fet-26529	17	29	al	al	PROPN
fet-26529	17	30	.	.	PROPN
fet-26529	17	31	,	,	PUNCT
fet-26529	17	32	2020	2020	NUM
fet-26529	17	33	)	)	PUNCT
fet-26529	17	34	.	.	PUNCT
fet-26529	18	1	in	in	ADP
fet-26529	18	2	this	this	DET
fet-26529	18	3	paper	paper	NOUN
fet-26529	18	4	,	,	PUNCT
fet-26529	18	5	we	we	PRON
fet-26529	18	6	use	use	VERB
fet-26529	18	7	transfer	transfer	NOUN
fet-26529	18	8	learning	learning	NOUN
fet-26529	18	9	and	and	CCONJ
fet-26529	18	10	cnn	cnn	PROPN
fet-26529	18	11	to	to	PART
fet-26529	18	12	achieve	achieve	VERB
fet-26529	18	13	real	real	ADJ
fet-26529	18	14	-	-	PUNCT
fet-26529	18	15	time	time	NOUN
fet-26529	18	16	and	and	CCONJ
fet-26529	18	17	reliable	reliable	ADJ
fet-26529	18	18	fire	fire	NOUN
fet-26529	18	19	detection	detection	NOUN
fet-26529	18	20	in	in	ADP
fet-26529	18	21	laboratories	laboratory	NOUN
fet-26529	18	22	.	.	PUNCT
fet-26529	19	1	2	2	X
fet-26529	19	2	.	.	X
fet-26529	19	3	correlation	correlation	NOUN
fet-26529	19	4	theory	theory	NOUN
fet-26529	19	5	2.1	2.1	NUM
fet-26529	19	6	cnn	cnn	NOUN
fet-26529	19	7	architecture	architecture	NOUN
fet-26529	19	8	before	before	ADP
fet-26529	19	9	the	the	DET
fet-26529	19	10	emergence	emergence	NOUN
fet-26529	19	11	of	of	ADP
fet-26529	19	12	cnn	cnn	PROPN
fet-26529	19	13	,	,	PUNCT
fet-26529	19	14	deep	deep	ADJ
fet-26529	19	15	learning	learning	NOUN
fet-26529	19	16	faced	face	VERB
fet-26529	19	17	obstacles	obstacle	NOUN
fet-26529	19	18	such	such	ADJ
fet-26529	19	19	as	as	ADP
fet-26529	19	20	long	long	ADJ
fet-26529	19	21	training	training	NOUN
fet-26529	19	22	time	time	NOUN
fet-26529	19	23	or	or	CCONJ
fet-26529	19	24	low	low	ADJ
fet-26529	19	25	accuracy	accuracy	NOUN
fet-26529	19	26	in	in	ADP
fet-26529	19	27	image	image	NOUN
fet-26529	19	28	processing	processing	NOUN
fet-26529	19	29	.	.	PUNCT
fet-26529	20	1	it	it	PRON
fet-26529	20	2	became	become	VERB
fet-26529	20	3	necessary	necessary	ADJ
fet-26529	20	4	to	to	PART
fet-26529	20	5	reduce	reduce	VERB
fet-26529	20	6	the	the	DET
fet-26529	20	7	dimensionality	dimensionality	NOUN
fet-26529	20	8	of	of	ADP
fet-26529	20	9	data	datum	NOUN
fet-26529	20	10	while	while	SCONJ
fet-26529	20	11	preserving	preserve	VERB
fet-26529	20	12	image	image	NOUN
fet-26529	20	13	features	feature	NOUN
fet-26529	20	14	leading	lead	VERB
fet-26529	20	15	to	to	ADP
fet-26529	20	16	the	the	DET
fet-26529	20	17	development	development	NOUN
fet-26529	20	18	of	of	ADP
fet-26529	20	19	cnn	cnn	PROPN
fet-26529	20	20	.	.	PUNCT
fet-26529	21	1	as	as	ADP
fet-26529	21	2	a	a	DET
fet-26529	21	3	subclass	subclass	NOUN
fet-26529	21	4	of	of	ADP
fet-26529	21	5	deep	deep	ADJ
fet-26529	21	6	learning	learning	NOUN
fet-26529	21	7	,	,	PUNCT
fet-26529	21	8	cnn	cnn	PROPN
fet-26529	21	9	is	be	AUX
fet-26529	21	10	widely	widely	ADV
fet-26529	21	11	used	use	VERB
fet-26529	21	12	in	in	ADP
fet-26529	21	13	image	image	NOUN
fet-26529	21	14	classification	classification	NOUN
fet-26529	21	15	and	and	CCONJ
fet-26529	21	16	recognition	recognition	NOUN
fet-26529	21	17	.	.	PUNCT
fet-26529	22	1	traditional	traditional	ADJ
fet-26529	22	2	neural	neural	ADJ
fet-26529	22	3	networks	network	NOUN
fet-26529	22	4	used	use	VERB
fet-26529	22	5	fully	fully	ADV
fet-26529	22	6	connected	connected	ADJ
fet-26529	22	7	layers	layer	NOUN
fet-26529	22	8	in	in	ADP
fet-26529	22	9	their	their	PRON
fet-26529	22	10	hidden	hide	VERB
fet-26529	22	11	layer	layer	NOUN
fet-26529	22	12	with	with	ADP
fet-26529	22	13	neurons	neuron	NOUN
fet-26529	22	14	linked	link	VERB
fet-26529	22	15	between	between	ADP
fet-26529	22	16	layers	layer	NOUN
fet-26529	22	17	.	.	PUNCT
fet-26529	23	1	cnn	cnn	PROPN
fet-26529	23	2	also	also	ADV
fet-26529	23	3	has	have	VERB
fet-26529	23	4	input	input	NOUN
fet-26529	23	5	,	,	PUNCT
fet-26529	23	6	hidden	hide	VERB
fet-26529	23	7	,	,	PUNCT
fet-26529	23	8	and	and	CCONJ
fet-26529	23	9	output	output	NOUN
fet-26529	23	10	layers	layer	NOUN
fet-26529	23	11	,	,	PUNCT
fet-26529	23	12	while	while	SCONJ
fet-26529	23	13	the	the	DET
fet-26529	23	14	hidden	hidden	ADJ
fet-26529	23	15	layer	layer	NOUN
fet-26529	23	16	incorporates	incorporate	VERB
fet-26529	23	17	convolutional	convolutional	ADJ
fet-26529	23	18	and	and	CCONJ
fet-26529	23	19	pooling	pool	VERB
fet-26529	23	20	layers	layer	NOUN
fet-26529	23	21	to	to	PART
fet-26529	23	22	preserve	preserve	VERB
fet-26529	23	23	image	image	NOUN
fet-26529	23	24	features	feature	NOUN
fet-26529	23	25	while	while	SCONJ
fet-26529	23	26	reducing	reduce	VERB
fet-26529	23	27	data	datum	NOUN
fet-26529	23	28	dimensions	dimension	NOUN
fet-26529	23	29	.	.	PUNCT
fet-26529	24	1	compared	compare	VERB
fet-26529	24	2	to	to	ADP
fet-26529	24	3	traditional	traditional	ADJ
fet-26529	24	4	neural	neural	ADJ
fet-26529	24	5	networks	network	NOUN
fet-26529	24	6	,	,	PUNCT
fet-26529	24	7	cnn	cnn	PROPN
fet-26529	24	8	can	can	AUX
fet-26529	24	9	process	process	VERB
fet-26529	24	10	images	image	NOUN
fet-26529	24	11	directly	directly	ADV
fet-26529	24	12	.	.	PUNCT
fet-26529	25	1	the	the	DET
fet-26529	25	2	structure	structure	NOUN
fet-26529	25	3	of	of	ADP
fet-26529	25	4	a	a	DET
fet-26529	25	5	cnn	cnn	PROPN
fet-26529	25	6	is	be	AUX
fet-26529	25	7	shown	show	VERB
fet-26529	25	8	in	in	ADP
fet-26529	25	9	figure	figure	NOUN
fet-26529	25	10	1	1	NUM
fet-26529	25	11	.	.	PUNCT
fet-26529	26	1	convolution	convolution	NOUN
fet-26529	26	2	layers	layer	NOUN
fet-26529	26	3	pooling	pool	VERB
fet-26529	26	4	layers	layer	NOUN
fet-26529	26	5	·	·	PUNCT
fet-26529	26	6	·	·	PUNCT
fet-26529	26	7	·	·	PUNCT
fet-26529	26	8	output	output	NOUN
fet-26529	26	9	layerinput	layerinput	ADJ
fet-26529	26	10	layer	layer	NOUN
fet-26529	26	11	fully	fully	ADV
fet-26529	26	12	connected	connect	VERB
fet-26529	26	13	layer	layer	NOUN
fet-26529	26	14	softmax	softmax	NOUN
fet-26529	26	15	convolution	convolution	NOUN
fet-26529	26	16	kernels	kernel	NOUN
fet-26529	26	17	images	image	NOUN
fet-26529	26	18	pooling	pool	VERB
fet-26529	26	19	area	area	NOUN
fet-26529	26	20	hidden	hide	VERB
fet-26529	26	21	layer	layer	NOUN
fet-26529	26	22	figure	figure	NOUN
fet-26529	26	23	1	1	NUM
fet-26529	26	24	.	.	PUNCT
fet-26529	26	25	cnn	cnn	PROPN
fet-26529	26	26	architecture	architecture	VERB
fet-26529	26	27	the	the	DET
fet-26529	26	28	input	input	NOUN
fet-26529	26	29	layer	layer	NOUN
fet-26529	26	30	of	of	ADP
fet-26529	26	31	cnn	cnn	PROPN
fet-26529	26	32	can	can	AUX
fet-26529	26	33	process	process	VERB
fet-26529	26	34	grayscale	grayscale	NOUN
fet-26529	26	35	or	or	CCONJ
fet-26529	26	36	rgb	rgb	PROPN
fet-26529	26	37	color	color	NOUN
fet-26529	26	38	images	image	NOUN
fet-26529	26	39	.	.	PUNCT
fet-26529	27	1	convolutional	convolutional	ADJ
fet-26529	27	2	layers	layer	NOUN
fet-26529	27	3	emulate	emulate	VERB
fet-26529	27	4	the	the	DET
fet-26529	27	5	human	human	ADJ
fet-26529	27	6	visual	visual	ADJ
fet-26529	27	7	cortex	cortex	NOUN
fet-26529	27	8	and	and	CCONJ
fet-26529	27	9	can	can	AUX
fet-26529	27	10	extract	extract	VERB
fet-26529	27	11	complex	complex	ADJ
fet-26529	27	12	image	image	NOUN
fet-26529	27	13	features	feature	VERB
fet-26529	27	14	more	more	ADV
fet-26529	27	15	effectively	effectively	ADV
fet-26529	27	16	.	.	PUNCT
fet-26529	28	1	humans	human	NOUN
fet-26529	28	2	observe	observe	VERB
fet-26529	28	3	an	an	DET
fet-26529	28	4	image	image	NOUN
fet-26529	28	5	through	through	ADP
fet-26529	28	6	pupils	pupil	NOUN
fet-26529	28	7	with	with	ADP
fet-26529	28	8	initiating	initiate	VERB
fet-26529	28	9	preliminary	preliminary	ADJ
fet-26529	28	10	processing	processing	NOUN
fet-26529	28	11	such	such	ADJ
fet-26529	28	12	as	as	ADP
fet-26529	28	13	edge	edge	NOUN
fet-26529	28	14	detection	detection	NOUN
fet-26529	28	15	in	in	ADP
fet-26529	28	16	the	the	DET
fet-26529	28	17	cerebral	cerebral	ADJ
fet-26529	28	18	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	28	19	frontiers	frontier	NOUN
fet-26529	28	20	in	in	ADP
fet-26529	28	21	education	education	NOUN
fet-26529	28	22	technology	technology	NOUN
fet-26529	28	23	vol	vol	NOUN
fet-26529	28	24	.	.	PROPN
fet-26529	29	1	6	6	NUM
fet-26529	29	2	,	,	PUNCT
fet-26529	29	3	no	no	INTJ
fet-26529	29	4	.	.	NOUN
fet-26529	29	5	2	2	NUM
fet-26529	29	6	,	,	PUNCT
fet-26529	29	7	2023	2023	NUM
fet-26529	29	8	144	144	NUM
fet-26529	29	9	published	publish	VERB
fet-26529	29	10	by	by	ADP
fet-26529	29	11	scholink	scholink	PROPN
fet-26529	29	12	inc	inc	PROPN
fet-26529	29	13	.	.	PROPN
fet-26529	29	14	cortex	cortex	PROPN
fet-26529	29	15	.	.	PUNCT
fet-26529	30	1	then	then	ADV
fet-26529	30	2	,	,	PUNCT
fet-26529	30	3	the	the	DET
fet-26529	30	4	observed	observed	ADJ
fet-26529	30	5	image	image	NOUN
fet-26529	30	6	is	be	AUX
fet-26529	30	7	identified	identify	VERB
fet-26529	30	8	.	.	PUNCT
fet-26529	31	1	figure	figure	NOUN
fet-26529	31	2	2	2	NUM
fet-26529	31	3	shows	show	VERB
fet-26529	31	4	an	an	DET
fet-26529	31	5	example	example	NOUN
fet-26529	31	6	of	of	ADP
fet-26529	31	7	the	the	DET
fet-26529	31	8	working	working	ADJ
fet-26529	31	9	principle	principle	NOUN
fet-26529	31	10	of	of	ADP
fet-26529	31	11	convolutional	convolutional	ADJ
fet-26529	31	12	layers	layer	NOUN
fet-26529	31	13	.	.	PUNCT
fet-26529	32	1	b	b	NOUN
fet-26529	32	2	g	g	NOUN
fet-26529	32	3	r	r	NOUN
fet-26529	32	4	3x33x33x3	3x33x33x3	PROPN
fet-26529	32	5	3x33x33x3	3x33x33x3	PROPN
fet-26529	32	6	8x8x3	8x8x3	NOUN
fet-26529	32	7	6x6x2	6x6x2	NUM
fet-26529	32	8	feature	feature	NOUN
fet-26529	32	9	map	map	NOUN
fet-26529	32	10	1	1	NUM
fet-26529	32	11	feature	feature	NOUN
fet-26529	32	12	map	map	NOUN
fet-26529	32	13	2	2	NUM
fet-26529	32	14	6x6x3x2	6x6x3x2	NUM
fet-26529	32	15	input	input	NOUN
fet-26529	32	16	layer	layer	NOUN
fet-26529	32	17	convolution	convolution	NOUN
fet-26529	32	18	layer	layer	NOUN
fet-26529	32	19	step	step	NOUN
fet-26529	32	20	length=	length=	NUM
fet-26529	32	21	1	1	NUM
fet-26529	32	22	numbers	number	NOUN
fet-26529	32	23	=	=	SYM
fet-26529	32	24	2	2	NUM
fet-26529	32	25	size	size	NOUN
fet-26529	32	26	=	=	SYM
fet-26529	32	27	3x3	3x3	NUM
fet-26529	32	28	bias	bias	NOUN
fet-26529	32	29	=	=	SYM
fet-26529	32	30	0	0	NUM
fet-26529	32	31	figure	figure	NOUN
fet-26529	32	32	2	2	NUM
fet-26529	32	33	.	.	PUNCT
fet-26529	32	34	principle	principle	NOUN
fet-26529	32	35	of	of	ADP
fet-26529	32	36	convolution	convolution	NOUN
fet-26529	32	37	layers	layer	VERB
fet-26529	32	38	the	the	DET
fet-26529	32	39	convolutional	convolutional	ADJ
fet-26529	32	40	layer	layer	NOUN
fet-26529	32	41	utilizes	utilize	VERB
fet-26529	32	42	convolution	convolution	NOUN
fet-26529	32	43	kernels	kernel	NOUN
fet-26529	32	44	that	that	PRON
fet-26529	32	45	slide	slide	VERB
fet-26529	32	46	sequentially	sequentially	ADV
fet-26529	32	47	over	over	ADP
fet-26529	32	48	image	image	NOUN
fet-26529	32	49	pixels	pixel	NOUN
fet-26529	32	50	to	to	PART
fet-26529	32	51	perform	perform	VERB
fet-26529	32	52	spatial	spatial	ADJ
fet-26529	32	53	filtering	filtering	NOUN
fet-26529	32	54	on	on	ADP
fet-26529	32	55	the	the	DET
fet-26529	32	56	image	image	NOUN
fet-26529	32	57	.	.	PUNCT
fet-26529	33	1	a	a	DET
fet-26529	33	2	convolution	convolution	NOUN
fet-26529	33	3	kernel	kernel	NOUN
fet-26529	33	4	represents	represent	VERB
fet-26529	33	5	a	a	DET
fet-26529	33	6	spatial	spatial	ADJ
fet-26529	33	7	filter	filter	NOUN
fet-26529	33	8	of	of	ADP
fet-26529	33	9	size	size	NOUN
fet-26529	33	10	w	w	PROPN
fet-26529	33	11	h	h	NOUN
fet-26529	33	12	cf	cf	NOUN
fet-26529	33	13	f	f	PROPN
fet-26529	33	14	f	f	NOUN
fet-26529	33	15			NOUN
fet-26529	33	16	with	with	ADP
fet-26529	33	17	weights	weight	NOUN
fet-26529	33	18	denoted	denote	VERB
fet-26529	33	19	by	by	ADP
fet-26529	33	20	w	w	PROPN
fet-26529	33	21	h	h	PROPN
fet-26529	33	22	cf	cf	PROPN
fet-26529	33	23	f	f	PROPN
fet-26529	33	24	f	f	NOUN
fet-26529	33	25	w	w	PROPN
fet-26529	33	26	,	,	PUNCT
fet-26529	33	27	where	where	SCONJ
fet-26529	33	28	wf	wf	PROPN
fet-26529	33	29	and	and	CCONJ
fet-26529	33	30	hf	hf	PROPN
fet-26529	33	31	are	be	AUX
fet-26529	33	32	non	non	ADJ
fet-26529	33	33	-	-	ADJ
fet-26529	33	34	negative	negative	ADJ
fet-26529	33	35	,	,	PUNCT
fet-26529	33	36	odd	odd	ADJ
fet-26529	33	37	numbers	number	NOUN
fet-26529	33	38	frequently	frequently	ADV
fet-26529	33	39	set	set	VERB
fet-26529	33	40	equal	equal	ADJ
fet-26529	33	41	to	to	ADP
fet-26529	33	42	each	each	DET
fet-26529	33	43	other	other	ADJ
fet-26529	33	44	.	.	PUNCT
fet-26529	34	1	for	for	ADP
fet-26529	34	2	a	a	DET
fet-26529	34	3	specific	specific	ADJ
fet-26529	34	4	channel	channel	NOUN
fet-26529	34	5	cf	cf	NOUN
fet-26529	34	6	,	,	PUNCT
fet-26529	34	7	the	the	DET
fet-26529	34	8	central	central	ADJ
fet-26529	34	9	element	element	NOUN
fet-26529	34	10	of	of	ADP
fet-26529	34	11	the	the	DET
fet-26529	34	12	spatial	spatial	ADJ
fet-26529	34	13	filter	filter	NOUN
fet-26529	34	14	represents	represent	VERB
fet-26529	34	15	the	the	DET
fet-26529	34	16	current	current	ADJ
fet-26529	34	17	pixel	pixel	NOUN
fet-26529	34	18	weight	weight	NOUN
fet-26529	34	19	of	of	ADP
fet-26529	34	20	the	the	DET
fet-26529	34	21	original	original	ADJ
fet-26529	34	22	image	image	NOUN
fet-26529	34	23	and	and	CCONJ
fet-26529	34	24	other	other	ADJ
fet-26529	34	25	elements	element	NOUN
fet-26529	34	26	represent	represent	VERB
fet-26529	34	27	the	the	DET
fet-26529	34	28	weight	weight	NOUN
fet-26529	34	29	of	of	ADP
fet-26529	34	30	adjacent	adjacent	ADJ
fet-26529	34	31	pixels	pixel	NOUN
fet-26529	34	32	.	.	PUNCT
fet-26529	35	1	the	the	DET
fet-26529	35	2	output	output	NOUN
fet-26529	35	3	is	be	AUX
fet-26529	35	4	the	the	DET
fet-26529	35	5	sum	sum	NOUN
fet-26529	35	6	of	of	ADP
fet-26529	35	7	values	value	NOUN
fet-26529	35	8	from	from	ADP
fet-26529	35	9	different	different	ADJ
fet-26529	35	10	image	image	NOUN
fet-26529	35	11	features	feature	NOUN
fet-26529	35	12	that	that	PRON
fet-26529	35	13	pass	pass	VERB
fet-26529	35	14	through	through	ADP
fet-26529	35	15	the	the	DET
fet-26529	35	16	spatial	spatial	ADJ
fet-26529	35	17	filter	filter	NOUN
fet-26529	35	18	from	from	ADP
fet-26529	35	19	various	various	ADJ
fet-26529	35	20	channels	channel	NOUN
fet-26529	35	21	.	.	PUNCT
fet-26529	36	1	in	in	ADP
fet-26529	36	2	the	the	DET
fet-26529	36	3	pixel	pixel	PROPN
fet-26529	36	4	coordinate	coordinate	NOUN
fet-26529	36	5	system	system	NOUN
fet-26529	36	6	,	,	PUNCT
fet-26529	36	7	the	the	DET
fet-26529	36	8	intensity	intensity	NOUN
fet-26529	36	9	of	of	ADP
fet-26529	36	10	the	the	DET
fet-26529	36	11	image	image	NOUN
fet-26529	36	12	pixel	pixel	PROPN
fet-26529	36	13	point	point	PROPN
fet-26529	36	14	pixelu	pixelu	NOUN
fet-26529	36	15	,	,	PUNCT
fet-26529	36	16	v	v	NOUN
fet-26529	36	17	is	be	AUX
fet-26529	36	18	represented	represent	VERB
fet-26529	36	19	by	by	ADP
fet-26529	36	20			ADJ
fet-26529	36	21	,f	,f	X
fet-26529	36	22	u	u	NOUN
fet-26529	36	23	v	v	NOUN
fet-26529	36	24	.	.	PUNCT
fet-26529	37	1	if	if	SCONJ
fet-26529	37	2	both	both	DET
fet-26529	37	3	wf	wf	PROPN
fet-26529	37	4	and	and	CCONJ
fet-26529	37	5	hf	hf	PROPN
fet-26529	37	6	are	be	AUX
fet-26529	37	7	odd	odd	ADJ
fet-26529	37	8	numbers	number	NOUN
fet-26529	37	9	,	,	PUNCT
fet-26529	37	10	the	the	DET
fet-26529	37	11	output	output	NOUN
fet-26529	37	12	intensity	intensity	PROPN
fet-26529	37	13			PROPN
fet-26529	37	14	conv	conv	PROPN
fet-26529	37	15	,	,	PUNCT
fet-26529	37	16	g	g	PROPN
fet-26529	37	17	u	u	NOUN
fet-26529	37	18	v	v	NOUN
fet-26529	37	19	,	,	PUNCT
fet-26529	37	20	which	which	PRON
fet-26529	37	21	operated	operate	VERB
fet-26529	37	22	by	by	ADP
fet-26529	37	23	a	a	DET
fet-26529	37	24	square	square	ADJ
fet-26529	37	25	spatial	spatial	ADJ
fet-26529	37	26	filter	filter	NOUN
fet-26529	37	27	of	of	ADP
fet-26529	37	28	size	size	NOUN
fet-26529	37	29	w	w	PROPN
fet-26529	37	30	h	h	NOUN
fet-26529	37	31	cf	cf	NOUN
fet-26529	37	32	f	f	PROPN
fet-26529	37	33	f	f	NOUN
fet-26529	37	34			NOUN
fet-26529	37	35	,	,	PUNCT
fet-26529	37	36	is	be	AUX
fet-26529	37	37	shown	show	VERB
fet-26529	37	38	in	in	ADP
fet-26529	37	39	equation	equation	NOUN
fet-26529	37	40	(	(	PUNCT
fet-26529	37	41	1	1	NUM
fet-26529	37	42	)	)	PUNCT
fet-26529	37	43	,	,	PUNCT
fet-26529	37	44	where	where	SCONJ
fet-26529	37	45	b	b	NOUN
fet-26529	37	46	is	be	AUX
fet-26529	37	47	the	the	DET
fet-26529	37	48	offset	offset	NOUN
fet-26529	37	49	.	.	PUNCT
fet-26529	38	1			ADJ
fet-26529	38	2			ADP
fet-26529	38	3			NOUN
fet-26529	38	4			SYM
fet-26529	38	5			NOUN
fet-26529	38	6			SYM
fet-26529	38	7			NOUN
fet-26529	38	8			SYM
fet-26529	38	9			NOUN
fet-26529	38	10			SYM
fet-26529	38	11			NOUN
fet-26529	38	12			SYM
fet-26529	38	13			NOUN
fet-26529	38	14	w	w	NOUN
fet-26529	39	1	h	h	NOUN
fet-26529	39	2	c	c	NOUN
fet-26529	39	3	w	w	PROPN
fet-26529	39	4	h	h	PROPN
fet-26529	39	5	1	1	NUM
fet-26529	39	6	/2	/2	SYM
fet-26529	39	7	1	1	NUM
fet-26529	39	8	/2	/2	NOUN
fet-26529	40	1	conv	conv	PROPN
fet-26529	41	1	w	w	PROPN
fet-26529	42	1	h	h	PROPN
fet-26529	43	1	1	1	NUM
fet-26529	44	1	/2	/2	NUM
fet-26529	44	2	1	1	NUM
fet-26529	44	3	/2	/2	NOUN
fet-26529	45	1	,	,	PUNCT
fet-26529	45	2	[	[	PUNCT
fet-26529	45	3	]	]	X
fet-26529	45	4	[	[	PUNCT
fet-26529	45	5	1	1	NUM
fet-26529	45	6	/	/	SYM
fet-26529	45	7	2	2	NUM
fet-26529	45	8	1	1	NUM
fet-26529	45	9	/	/	SYM
fet-26529	45	10	2	2	NUM
fet-26529	45	11	]	]	PUNCT
fet-26529	45	12	f	f	X
fet-26529	46	1	f	f	X
fet-26529	46	2	f	f	PROPN
fet-26529	47	1	i	i	PRON
fet-26529	47	2	f	f	PROPN
fet-26529	48	1	j	j	PROPN
fet-26529	49	1	f	f	X
fet-26529	49	2	g	g	PROPN
fet-26529	49	3	u	u	PROPN
fet-26529	49	4	v	v	ADP
fet-26529	49	5	f	f	PROPN
fet-26529	49	6	u+i	u+i	NOUN
fet-26529	49	7	,	,	PUNCT
fet-26529	49	8	v+	v+	X
fet-26529	49	9	j	j	PROPN
fet-26529	50	1	i	i	PRON
fet-26529	50	2	f	f	PROPN
fet-26529	50	3	,	,	PUNCT
fet-26529	50	4	j	j	PROPN
fet-26529	50	5	f	f	PROPN
fet-26529	50	6	b	b	PROPN
fet-26529	50	7			PROPN
fet-26529	50	8			PROPN
fet-26529	50	9			PROPN
fet-26529	50	10			PROPN
fet-26529	50	11			PROPN
fet-26529	50	12			PROPN
fet-26529	50	13			PROPN
fet-26529	50	14			PROPN
fet-26529	50	15			PROPN
fet-26529	50	16			VERB
fet-26529	50	17			PUNCT
fet-26529	50	18			X
fet-26529	50	19			X
fet-26529	50	20			X
fet-26529	50	21	m	m	VERB
fet-26529	50	22	(	(	PUNCT
fet-26529	50	23	1	1	NUM
fet-26529	50	24	)	)	PUNCT
fet-26529	50	25	if	if	SCONJ
fet-26529	50	26	u+i	u+i	NUM
fet-26529	50	27	or	or	CCONJ
fet-26529	50	28	v+	v+	ADV
fet-26529	50	29	j	j	PROPN
fet-26529	50	30	exceeds	exceed	VERB
fet-26529	50	31	the	the	DET
fet-26529	50	32	boundary	boundary	NOUN
fet-26529	50	33	of	of	ADP
fet-26529	50	34	the	the	DET
fet-26529	50	35	image	image	NOUN
fet-26529	50	36	,	,	PUNCT
fet-26529	50	37	various	various	ADJ
fet-26529	50	38	filling	filling	NOUN
fet-26529	50	39	methods	method	NOUN
fet-26529	50	40	can	can	AUX
fet-26529	50	41	replace	replace	VERB
fet-26529	50	42	the	the	DET
fet-26529	50	43	ineffective	ineffective	ADJ
fet-26529	50	44	pixel	pixel	PROPN
fet-26529	50	45	intensities	intensity	NOUN
fet-26529	50	46	.	.	PUNCT
fet-26529	51	1	additionally	additionally	ADV
fet-26529	51	2	,	,	PUNCT
fet-26529	51	3	the	the	DET
fet-26529	51	4	step	step	NOUN
fet-26529	51	5	size	size	NOUN
fet-26529	51	6	used	use	VERB
fet-26529	51	7	by	by	ADP
fet-26529	51	8	the	the	DET
fet-26529	51	9	spatial	spatial	ADJ
fet-26529	51	10	filter	filter	NOUN
fet-26529	51	11	determines	determine	VERB
fet-26529	51	12	the	the	DET
fet-26529	51	13	pixel	pixel	NOUN
fet-26529	51	14	spacing	space	VERB
fet-26529	51	15	for	for	ADP
fet-26529	51	16	each	each	DET
fet-26529	51	17	sliding	slide	VERB
fet-26529	51	18	of	of	ADP
fet-26529	51	19	the	the	DET
fet-26529	51	20	convolution	convolution	NOUN
fet-26529	51	21	kernel	kernel	NOUN
fet-26529	51	22	.	.	PUNCT
fet-26529	52	1	the	the	DET
fet-26529	52	2	number	number	NOUN
fet-26529	52	3	of	of	ADP
fet-26529	52	4	output	output	NOUN
fet-26529	52	5	channels	channel	NOUN
fet-26529	52	6	with	with	ADP
fet-26529	52	7	an	an	DET
fet-26529	52	8	image	image	NOUN
fet-26529	52	9	or	or	CCONJ
fet-26529	52	10	feature	feature	NOUN
fet-26529	52	11	map	map	NOUN
fet-26529	52	12	passing	pass	VERB
fet-26529	52	13	through	through	ADP
fet-26529	52	14	a	a	DET
fet-26529	52	15	convolutional	convolutional	ADJ
fet-26529	52	16	layer	layer	NOUN
fet-26529	52	17	equals	equal	VERB
fet-26529	52	18	to	to	ADP
fet-26529	52	19	the	the	DET
fet-26529	52	20	number	number	NOUN
fet-26529	52	21	of	of	ADP
fet-26529	52	22	convolution	convolution	NOUN
fet-26529	52	23	kernels	kernel	NOUN
fet-26529	52	24	in	in	ADP
fet-26529	52	25	that	that	DET
fet-26529	52	26	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	52	27	frontiers	frontier	NOUN
fet-26529	52	28	in	in	ADP
fet-26529	52	29	education	education	NOUN
fet-26529	52	30	technology	technology	NOUN
fet-26529	52	31	vol	vol	NOUN
fet-26529	52	32	.	.	PROPN
fet-26529	53	1	6	6	NUM
fet-26529	53	2	,	,	PUNCT
fet-26529	53	3	no	no	INTJ
fet-26529	53	4	.	.	NOUN
fet-26529	53	5	2	2	NUM
fet-26529	53	6	,	,	PUNCT
fet-26529	53	7	2023	2023	NUM
fet-26529	53	8	145	145	NUM
fet-26529	53	9	published	publish	VERB
fet-26529	53	10	by	by	ADP
fet-26529	53	11	scholink	scholink	PROPN
fet-26529	53	12	inc	inc	PROPN
fet-26529	53	13	.	.	PROPN
fet-26529	53	14	layer	layer	NOUN
fet-26529	53	15	.	.	PUNCT
fet-26529	54	1	assuming	assume	VERB
fet-26529	54	2	that	that	SCONJ
fet-26529	54	3	a	a	DET
fet-26529	54	4	convolutional	convolutional	ADJ
fet-26529	54	5	layer	layer	NOUN
fet-26529	54	6	is	be	AUX
fet-26529	54	7	composed	compose	VERB
fet-26529	54	8	of	of	ADP
fet-26529	54	9	convolution	convolution	NOUN
fet-26529	54	10	kernels	kernel	NOUN
fet-26529	54	11	of	of	ADP
fet-26529	54	12	size	size	NOUN
fet-26529	54	13	f	f	PROPN
fet-26529	54	14	f	f	NOUN
fet-26529	54	15	,	,	PUNCT
fet-26529	54	16	a	a	DET
fet-26529	54	17	step	step	NOUN
fet-26529	54	18	size	size	NOUN
fet-26529	54	19	s	s	PART
fet-26529	54	20	,	,	PUNCT
fet-26529	54	21	and	and	CCONJ
fet-26529	54	22	a	a	DET
fet-26529	54	23	fill	fill	NOUN
fet-26529	54	24	of	of	ADP
fet-26529	54	25	p	p	NOUN
fet-26529	54	26	,	,	PUNCT
fet-26529	54	27	the	the	DET
fet-26529	54	28	output	output	NOUN
fet-26529	54	29	size	size	NOUN
fet-26529	54	30	n	n	PRON
fet-26529	54	31	n	n	NOUN
fet-26529	54	32	is	be	AUX
fet-26529	54	33	given	give	VERB
fet-26529	54	34	in	in	ADP
fet-26529	54	35	equation	equation	NOUN
fet-26529	54	36	(	(	PUNCT
fet-26529	54	37	2	2	NUM
fet-26529	54	38	)	)	PUNCT
fet-26529	54	39	.	.	PUNCT
fet-26529	55	1			NOUN
fet-26529	55	2	2	2	PROPN
fet-26529	55	3	/	/	SYM
fet-26529	55	4	1n	1n	PROPN
fet-26529	56	1	w	w	NOUN
fet-26529	56	2	f	f	PROPN
fet-26529	56	3	p	p	X
fet-26529	56	4	s	s	PROPN
fet-26529	56	5			PROPN
fet-26529	56	6			PUNCT
fet-26529	56	7			X
fet-26529	56	8	(	(	PUNCT
fet-26529	56	9	2	2	X
fet-26529	56	10	)	)	PUNCT
fet-26529	56	11	the	the	DET
fet-26529	56	12	pooling	pool	VERB
fet-26529	56	13	layer	layer	NOUN
fet-26529	56	14	significantly	significantly	ADV
fet-26529	56	15	decreases	decrease	VERB
fet-26529	56	16	the	the	DET
fet-26529	56	17	dimensionality	dimensionality	NOUN
fet-26529	56	18	of	of	ADP
fet-26529	56	19	image	image	NOUN
fet-26529	56	20	data	datum	NOUN
fet-26529	56	21	and	and	CCONJ
fet-26529	56	22	prevents	prevent	VERB
fet-26529	56	23	overfitting	overfitte	VERB
fet-26529	56	24	.	.	PUNCT
fet-26529	57	1	unlike	unlike	ADP
fet-26529	57	2	standard	standard	ADJ
fet-26529	57	3	sampling	sampling	NOUN
fet-26529	57	4	typically	typically	ADV
fet-26529	57	5	applied	apply	VERB
fet-26529	57	6	to	to	ADP
fet-26529	57	7	one	one	NUM
fet-26529	57	8	-	-	PUNCT
fet-26529	57	9	dimensional	dimensional	ADJ
fet-26529	57	10	sequences	sequence	NOUN
fet-26529	57	11	,	,	PUNCT
fet-26529	57	12	the	the	DET
fet-26529	57	13	pooling	pool	VERB
fet-26529	57	14	layer	layer	NOUN
fet-26529	57	15	samples	sample	VERB
fet-26529	57	16	high	high	ADV
fet-26529	57	17	-	-	PUNCT
fet-26529	57	18	dimensional	dimensional	ADJ
fet-26529	57	19	image	image	NOUN
fet-26529	57	20	inputs	input	NOUN
fet-26529	57	21	or	or	CCONJ
fet-26529	57	22	feature	feature	NOUN
fet-26529	57	23	maps	map	NOUN
fet-26529	57	24	.	.	PUNCT
fet-26529	58	1	the	the	DET
fet-26529	58	2	most	most	ADV
fet-26529	58	3	commonly	commonly	ADJ
fet-26529	58	4	methods	method	NOUN
fet-26529	58	5	include	include	VERB
fet-26529	58	6	maximum	maximum	ADJ
fet-26529	58	7	pooling	pooling	NOUN
fet-26529	58	8	and	and	CCONJ
fet-26529	58	9	average	average	ADJ
fet-26529	58	10	pooling	pooling	NOUN
fet-26529	58	11	.	.	PUNCT
fet-26529	59	1	for	for	ADP
fet-26529	59	2	maximum	maximum	ADJ
fet-26529	59	3	pooling	pooling	NOUN
fet-26529	59	4	,	,	PUNCT
fet-26529	59	5	if	if	SCONJ
fet-26529	59	6	the	the	DET
fet-26529	59	7	pooling	pool	VERB
fet-26529	59	8	region	region	NOUN
fet-26529	59	9	is	be	AUX
fet-26529	59	10	n	n	PRON
fet-26529	59	11	n	n	ADJ
fet-26529	59	12	and	and	CCONJ
fet-26529	59	13			ADJ
fet-26529	59	14	,f	,f	NOUN
fet-26529	59	15	u	u	NOUN
fet-26529	59	16	v	v	NOUN
fet-26529	59	17	represents	represent	VERB
fet-26529	59	18	the	the	DET
fet-26529	59	19	input	input	NOUN
fet-26529	59	20	with	with	ADP
fet-26529	59	21	one	one	NUM
fet-26529	59	22	channel	channel	NOUN
fet-26529	59	23	,	,	PUNCT
fet-26529	59	24	the	the	DET
fet-26529	59	25	maximum	maximum	ADJ
fet-26529	59	26	pooling	pooling	NOUN
fet-26529	59	27	result	result	NOUN
fet-26529	59	28	on	on	ADP
fet-26529	59	29			ADJ
fet-26529	59	30	,u	,u	X
fet-26529	59	31	v	v	NOUN
fet-26529	59	32	is	be	AUX
fet-26529	59	33	given	give	VERB
fet-26529	59	34	in	in	ADP
fet-26529	59	35	equation	equation	NOUN
fet-26529	59	36	(	(	PUNCT
fet-26529	59	37	3	3	X
fet-26529	59	38	)	)	PUNCT
fet-26529	59	39	assuming	assume	VERB
fet-26529	59	40	n	n	PROPN
fet-26529	59	41	is	be	AUX
fet-26529	59	42	odd	odd	ADJ
fet-26529	59	43	.	.	PUNCT
fet-26529	60	1			ADJ
fet-26529	60	2			ADP
fet-26529	60	3			ADJ
fet-26529	60	4			NOUN
fet-26529	60	5			NOUN
fet-26529	60	6			SYM
fet-26529	60	7			NOUN
fet-26529	61	1	poll	poll	NOUN
fet-26529	61	2	,	,	PUNCT
fet-26529	61	3	max	max	PROPN
fet-26529	61	4	{	{	PUNCT
fet-26529	61	5	,	,	PUNCT
fet-26529	61	6	}	}	PUNCT
fet-26529	61	7	,	,	PUNCT
fet-26529	61	8	1	1	NUM
fet-26529	61	9	/	/	SYM
fet-26529	61	10	2	2	NUM
fet-26529	61	11	,	,	PUNCT
fet-26529	61	12	1	1	NUM
fet-26529	61	13	/	/	SYM
fet-26529	61	14	2	2	NUM
fet-26529	61	15	g	g	NOUN
fet-26529	61	16	u	u	NOUN
fet-26529	61	17	v	v	ADP
fet-26529	61	18	f	f	X
fet-26529	61	19	u	u	NOUN
fet-26529	61	20	i	i	X
fet-26529	61	21	v	v	VERB
fet-26529	61	22	j	j	PROPN
fet-26529	62	1	n	n	CCONJ
fet-26529	62	2	i	i	PRON
fet-26529	62	3	j	j	PROPN
fet-26529	63	1	n	n	PROPN
fet-26529	63	2			ADV
fet-26529	63	3			PUNCT
fet-26529	63	4			PROPN
fet-26529	63	5			PROPN
fet-26529	63	6			NOUN
fet-26529	63	7			NOUN
fet-26529	63	8			NOUN
fet-26529	63	9	(	(	PUNCT
fet-26529	63	10	3	3	NUM
fet-26529	63	11	)	)	PUNCT
fet-26529	63	12	the	the	DET
fet-26529	63	13	output	output	NOUN
fet-26529	63	14	layer	layer	NOUN
fet-26529	63	15	consists	consist	VERB
fet-26529	63	16	of	of	ADP
fet-26529	63	17	a	a	DET
fet-26529	63	18	fully	fully	ADV
fet-26529	63	19	connected	connect	VERB
fet-26529	63	20	layer	layer	NOUN
fet-26529	63	21	,	,	PUNCT
fet-26529	63	22	an	an	DET
fet-26529	63	23	activation	activation	NOUN
fet-26529	63	24	function	function	NOUN
fet-26529	63	25	,	,	PUNCT
fet-26529	63	26	and	and	CCONJ
fet-26529	63	27	others	other	NOUN
fet-26529	63	28	.	.	PUNCT
fet-26529	64	1	if	if	SCONJ
fet-26529	64	2	m	m	PROPN
fet-26529	64	3	categories	category	NOUN
fet-26529	64	4	need	need	VERB
fet-26529	64	5	to	to	PART
fet-26529	64	6	be	be	AUX
fet-26529	64	7	recognized	recognize	VERB
fet-26529	64	8	and	and	CCONJ
fet-26529	64	9	classified	classify	VERB
fet-26529	64	10	,	,	PUNCT
fet-26529	64	11	the	the	DET
fet-26529	64	12	number	number	NOUN
fet-26529	64	13	of	of	ADP
fet-26529	64	14	fully	fully	ADV
fet-26529	64	15	connected	connect	VERB
fet-26529	64	16	layer	layer	NOUN
fet-26529	64	17	neurons	neuron	NOUN
fet-26529	64	18	directly	directly	ADV
fet-26529	64	19	is	be	AUX
fet-26529	64	20	m	m	PROPN
fet-26529	64	21	with	with	ADP
fet-26529	64	22	each	each	DET
fet-26529	64	23	neuron	neuron	NOUN
fet-26529	64	24	being	be	AUX
fet-26529	64	25	connected	connect	VERB
fet-26529	64	26	to	to	ADP
fet-26529	64	27	a	a	DET
fet-26529	64	28	neuron	neuron	NOUN
fet-26529	64	29	in	in	ADP
fet-26529	64	30	the	the	DET
fet-26529	64	31	previous	previous	ADJ
fet-26529	64	32	layer	layer	NOUN
fet-26529	64	33	.	.	PUNCT
fet-26529	65	1	the	the	DET
fet-26529	65	2	input	input	NOUN
fet-26529	65	3	-	-	PUNCT
fet-26529	65	4	output	output	NOUN
fet-26529	65	5	relationship	relationship	NOUN
fet-26529	65	6	of	of	ADP
fet-26529	65	7	neurons	neuron	NOUN
fet-26529	65	8	is	be	AUX
fet-26529	65	9	expressed	express	VERB
fet-26529	65	10	as	as	ADP
fet-26529	65	11	y	y	PROPN
fet-26529	65	12	=	=	SYM
fet-26529	65	13	wx+b	wx+b	PROPN
fet-26529	65	14	,	,	PUNCT
fet-26529	65	15	where	where	SCONJ
fet-26529	65	16	the	the	DET
fet-26529	65	17	weight	weight	NOUN
fet-26529	65	18	w	w	NOUN
fet-26529	65	19	and	and	CCONJ
fet-26529	65	20	bias	bias	NOUN
fet-26529	65	21	b	b	NOUN
fet-26529	65	22	create	create	VERB
fet-26529	65	23	a	a	DET
fet-26529	65	24	linear	linear	ADJ
fet-26529	65	25	component	component	NOUN
fet-26529	65	26	.	.	PUNCT
fet-26529	66	1	besides	besides	SCONJ
fet-26529	66	2	,	,	PUNCT
fet-26529	66	3	the	the	DET
fet-26529	66	4	activation	activation	NOUN
fet-26529	66	5	function	function	NOUN
fet-26529	66	6	provides	provide	VERB
fet-26529	66	7	the	the	DET
fet-26529	66	8	nonlinear	nonlinear	ADJ
fet-26529	66	9	transformation	transformation	NOUN
fet-26529	66	10	.	.	PUNCT
fet-26529	67	1	the	the	DET
fet-26529	67	2	common	common	ADJ
fet-26529	67	3	activation	activation	NOUN
fet-26529	67	4	functions	function	NOUN
fet-26529	67	5	include	include	VERB
fet-26529	67	6	the	the	DET
fet-26529	67	7	sigmoid	sigmoid	NOUN
fet-26529	67	8	and	and	CCONJ
fet-26529	67	9	relu	relu	NOUN
fet-26529	67	10	functions	function	NOUN
fet-26529	67	11	.	.	PUNCT
fet-26529	68	1	the	the	DET
fet-26529	68	2	output	output	NOUN
fet-26529	68	3	layer	layer	NOUN
fet-26529	68	4	often	often	ADV
fet-26529	68	5	employs	employ	VERB
fet-26529	68	6	the	the	DET
fet-26529	68	7	softmax	softmax	NOUN
fet-26529	68	8	function	function	NOUN
fet-26529	68	9	,	,	PUNCT
fet-26529	68	10	allowing	allow	VERB
fet-26529	68	11	for	for	ADP
fet-26529	68	12	more	more	ADV
fet-26529	68	13	intuitive	intuitive	ADJ
fet-26529	68	14	judgment	judgment	NOUN
fet-26529	68	15	of	of	ADP
fet-26529	68	16	image	image	NOUN
fet-26529	68	17	categories	category	NOUN
fet-26529	68	18	.	.	PUNCT
fet-26529	69	1	by	by	ADP
fet-26529	69	2	combining	combine	VERB
fet-26529	69	3	convolutional	convolutional	ADJ
fet-26529	69	4	and	and	CCONJ
fet-26529	69	5	pooling	pool	VERB
fet-26529	69	6	layers	layer	NOUN
fet-26529	69	7	with	with	ADP
fet-26529	69	8	different	different	ADJ
fet-26529	69	9	dimensions	dimension	NOUN
fet-26529	69	10	and	and	CCONJ
fet-26529	69	11	numbers	number	NOUN
fet-26529	69	12	,	,	PUNCT
fet-26529	69	13	various	various	ADJ
fet-26529	69	14	cnn	cnn	PROPN
fet-26529	69	15	architectures	architecture	NOUN
fet-26529	69	16	have	have	AUX
fet-26529	69	17	been	be	AUX
fet-26529	69	18	developed	develop	VERB
fet-26529	69	19	to	to	PART
fet-26529	69	20	apply	apply	VERB
fet-26529	69	21	to	to	ADP
fet-26529	69	22	different	different	ADJ
fet-26529	69	23	scenes	scene	NOUN
fet-26529	69	24	with	with	ADP
fet-26529	69	25	varying	vary	VERB
fet-26529	69	26	objectives	objective	NOUN
fet-26529	69	27	.	.	PUNCT
fet-26529	70	1	2.2	2.2	NUM
fet-26529	70	2	cnn	cnn	PROPN
fet-26529	70	3	model	model	NOUN
fet-26529	70	4	2.2.1	2.2.1	NUM
fet-26529	70	5	googlenet	googlenet	NOUN
fet-26529	70	6	in	in	ADP
fet-26529	70	7	2014	2014	NUM
fet-26529	70	8	,	,	PUNCT
fet-26529	70	9	google	google	PROPN
fet-26529	70	10	collaborated	collaborate	VERB
fet-26529	70	11	with	with	ADP
fet-26529	70	12	several	several	ADJ
fet-26529	70	13	universities	university	NOUN
fet-26529	70	14	to	to	PART
fet-26529	70	15	propose	propose	VERB
fet-26529	70	16	googlenet	googlenet	NOUN
fet-26529	70	17	,	,	PUNCT
fet-26529	70	18	a	a	DET
fet-26529	70	19	cnn	cnn	NOUN
fet-26529	70	20	architecture	architecture	NOUN
fet-26529	70	21	that	that	PRON
fet-26529	70	22	won	win	VERB
fet-26529	70	23	the	the	DET
fet-26529	70	24	first	first	ADJ
fet-26529	70	25	position	position	NOUN
fet-26529	70	26	in	in	ADP
fet-26529	70	27	imagenet	imagenet	NOUN
fet-26529	70	28	’s	’s	PART
fet-26529	70	29	image	image	NOUN
fet-26529	70	30	classification	classification	NOUN
fet-26529	70	31	challenge	challenge	NOUN
fet-26529	70	32	(	(	PUNCT
fet-26529	70	33	szegedy	szegedy	VERB
fet-26529	70	34	et	et	PROPN
fet-26529	70	35	al	al	PROPN
fet-26529	70	36	.	.	PROPN
fet-26529	70	37	,	,	PUNCT
fet-26529	70	38	2015	2015	NUM
fet-26529	70	39	)	)	PUNCT
fet-26529	70	40	.	.	PUNCT
fet-26529	71	1	in	in	ADP
fet-26529	71	2	comparison	comparison	NOUN
fet-26529	71	3	to	to	ADP
fet-26529	71	4	the	the	DET
fet-26529	71	5	previous	previous	ADJ
fet-26529	71	6	year	year	NOUN
fet-26529	71	7	’s	’s	PART
fet-26529	71	8	champion	champion	NOUN
fet-26529	71	9	zfnet	zfnet	PROPN
fet-26529	71	10	network	network	NOUN
fet-26529	71	11	and	and	CCONJ
fet-26529	71	12	2014	2014	NUM
fet-26529	71	13	’s	’s	NOUN
fet-26529	71	14	vgg	vgg	PROPN
fet-26529	71	15	network	network	NOUN
fet-26529	71	16	,	,	PUNCT
fet-26529	71	17	googlenet	googlenet	PROPN
fet-26529	71	18	achieved	achieve	VERB
fet-26529	71	19	significantly	significantly	ADV
fet-26529	71	20	higher	high	ADJ
fet-26529	71	21	accuracy	accuracy	NOUN
fet-26529	71	22	and	and	CCONJ
fet-26529	71	23	notably	notably	ADV
fet-26529	71	24	lower	low	ADJ
fet-26529	71	25	error	error	NOUN
fet-26529	71	26	probability	probability	NOUN
fet-26529	71	27	.	.	PUNCT
fet-26529	72	1	googlenet	googlenet	NOUN
fet-26529	72	2	is	be	AUX
fet-26529	72	3	a	a	DET
fet-26529	72	4	22	22	NUM
fet-26529	72	5	-	-	PUNCT
fet-26529	72	6	level	level	NOUN
fet-26529	72	7	cnn	cnn	NOUN
fet-26529	72	8	that	that	PRON
fet-26529	72	9	implements	implement	VERB
fet-26529	72	10	multiple	multiple	ADJ
fet-26529	72	11	1x1	1x1	NUM
fet-26529	72	12	convolution	convolution	NOUN
fet-26529	72	13	kernels	kernel	NOUN
fet-26529	72	14	and	and	CCONJ
fet-26529	72	15	global	global	ADJ
fet-26529	72	16	average	average	ADJ
fet-26529	72	17	pooling	pooling	NOUN
fet-26529	72	18	.	.	PUNCT
fet-26529	73	1	the	the	DET
fet-26529	73	2	1x1	1x1	NUM
fet-26529	73	3	convolution	convolution	NOUN
fet-26529	73	4	kernels	kernel	NOUN
fet-26529	73	5	decreases	decrease	VERB
fet-26529	73	6	the	the	DET
fet-26529	73	7	network	network	NOUN
fet-26529	73	8	’s	’s	PART
fet-26529	73	9	complexity	complexity	NOUN
fet-26529	73	10	while	while	SCONJ
fet-26529	73	11	deepening	deepen	VERB
fet-26529	73	12	its	its	PRON
fet-26529	73	13	depth	depth	NOUN
fet-26529	73	14	.	.	PUNCT
fet-26529	74	1	figure	figure	NOUN
fet-26529	74	2	3	3	NUM
fet-26529	74	3	illustrates	illustrate	VERB
fet-26529	74	4	the	the	DET
fet-26529	74	5	principle	principle	NOUN
fet-26529	74	6	of	of	ADP
fet-26529	74	7	reducing	reduce	VERB
fet-26529	74	8	the	the	DET
fet-26529	74	9	computation	computation	NOUN
fet-26529	74	10	in	in	ADP
fet-26529	74	11	1x1	1x1	NUM
fet-26529	74	12	convolution	convolution	NOUN
fet-26529	74	13	kernels	kernel	NOUN
fet-26529	74	14	.	.	PUNCT
fet-26529	75	1	moreover	moreover	ADV
fet-26529	75	2	,	,	PUNCT
fet-26529	75	3	googlenet	googlenet	NOUN
fet-26529	75	4	employs	employ	VERB
fet-26529	75	5	global	global	ADJ
fet-26529	75	6	average	average	ADJ
fet-26529	75	7	pooling	pooling	NOUN
fet-26529	75	8	to	to	PART
fet-26529	75	9	convert	convert	VERB
fet-26529	75	10	7x7	7x7	NUM
fet-26529	75	11	feature	feature	NOUN
fet-26529	75	12	maps	map	NOUN
fet-26529	75	13	to	to	ADP
fet-26529	75	14	1x1	1x1	NUM
fet-26529	75	15	size	size	NOUN
fet-26529	75	16	.	.	PUNCT
fet-26529	76	1	this	this	DET
fet-26529	76	2	technique	technique	NOUN
fet-26529	76	3	reduces	reduce	VERB
fet-26529	76	4	the	the	DET
fet-26529	76	5	number	number	NOUN
fet-26529	76	6	of	of	ADP
fet-26529	76	7	parameters	parameter	NOUN
fet-26529	76	8	to	to	ADP
fet-26529	76	9	0	0	NUM
fet-26529	76	10	in	in	ADP
fet-26529	76	11	the	the	DET
fet-26529	76	12	layer	layer	NOUN
fet-26529	76	13	and	and	CCONJ
fet-26529	76	14	enhances	enhance	VERB
fet-26529	76	15	the	the	DET
fet-26529	76	16	accuracy	accuracy	NOUN
fet-26529	76	17	.	.	PUNCT
fet-26529	77	1	additionally	additionally	ADV
fet-26529	77	2	,	,	PUNCT
fet-26529	77	3	googlenet	googlenet	NOUN
fet-26529	77	4	proposed	propose	VERB
fet-26529	77	5	the	the	DET
fet-26529	77	6	inception	inception	NOUN
fet-26529	77	7	module	module	NOUN
fet-26529	77	8	that	that	PRON
fet-26529	77	9	uses	use	VERB
fet-26529	77	10	1x1	1x1	NUM
fet-26529	77	11	,	,	PUNCT
fet-26529	77	12	3x3	3x3	NUM
fet-26529	77	13	,	,	PUNCT
fet-26529	77	14	and	and	CCONJ
fet-26529	77	15	5x5	5x5	NUM
fet-26529	77	16	convolutional	convolutional	ADJ
fet-26529	77	17	layers	layer	NOUN
fet-26529	77	18	alongside	alongside	ADP
fet-26529	77	19	3x3	3x3	NUM
fet-26529	77	20	maximum	maximum	ADJ
fet-26529	77	21	pooling	pool	VERB
fet-26529	77	22	layers	layer	NOUN
fet-26529	77	23	.	.	PUNCT
fet-26529	78	1	after	after	ADP
fet-26529	78	2	stacking	stack	VERB
fet-26529	78	3	,	,	PUNCT
fet-26529	78	4	the	the	DET
fet-26529	78	5	module	module	NOUN
fet-26529	78	6	can	can	AUX
fet-26529	78	7	adapt	adapt	VERB
fet-26529	78	8	to	to	ADP
fet-26529	78	9	image	image	NOUN
fet-26529	78	10	features	feature	NOUN
fet-26529	78	11	of	of	ADP
fet-26529	78	12	different	different	ADJ
fet-26529	78	13	scales	scale	NOUN
fet-26529	78	14	.	.	PUNCT
fet-26529	79	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	79	2	frontiers	frontier	NOUN
fet-26529	79	3	in	in	ADP
fet-26529	79	4	education	education	NOUN
fet-26529	79	5	technology	technology	NOUN
fet-26529	79	6	vol	vol	NOUN
fet-26529	79	7	.	.	PROPN
fet-26529	80	1	6	6	NUM
fet-26529	80	2	,	,	PUNCT
fet-26529	80	3	no	no	INTJ
fet-26529	80	4	.	.	NOUN
fet-26529	80	5	2	2	NUM
fet-26529	80	6	,	,	PUNCT
fet-26529	80	7	2023	2023	NUM
fet-26529	80	8	146	146	NUM
fet-26529	80	9	published	publish	VERB
fet-26529	80	10	by	by	ADP
fet-26529	80	11	scholink	scholink	PROPN
fet-26529	80	12	inc	inc	PROPN
fet-26529	80	13	.	.	PROPN
fet-26529	81	1	14x14x480	14x14x480	NUM
fet-26529	81	2	14x14x48	14x14x48	NUM
fet-26529	81	3	number	number	NOUN
fet-26529	81	4	=	=	SYM
fet-26529	81	5	48	48	NUM
fet-26529	81	6	14x14x480	14x14x480	NUM
fet-26529	81	7	14x14x16	14x14x16	NOUN
fet-26529	81	8	1x1	1x1	NUM
fet-26529	81	9	kernel	kernel	NOUN
fet-26529	81	10	number	number	NOUN
fet-26529	81	11	=	=	SYM
fet-26529	81	12	16	16	NUM
fet-26529	81	13	14x14x48	14x14x48	NUM
fet-26529	81	14	number	number	NOUN
fet-26529	81	15	=	=	SYM
fet-26529	81	16	48	48	NUM
fet-26529	81	17	5x5	5x5	NUM
fet-26529	81	18	kernel	kernel	NOUN
fet-26529	81	19	computaion	computaion	NOUN
fet-26529	81	20	=	=	PUNCT
fet-26529	81	21	(	(	PUNCT
fet-26529	81	22	14	14	NUM
fet-26529	81	23	*	*	SYM
fet-26529	81	24	14	14	NUM
fet-26529	81	25	*	*	SYM
fet-26529	81	26	48)*(5	48)*(5	NUM
fet-26529	81	27	*	*	SYM
fet-26529	81	28	5	5	NUM
fet-26529	81	29	*	*	NUM
fet-26529	81	30	480	480	NUM
fet-26529	81	31	)	)	PUNCT
fet-26529	81	32	=	=	NOUN
fet-26529	81	33	112.9	112.9	NUM
fet-26529	81	34	m	m	NOUN
fet-26529	81	35	computaion	computaion	NOUN
fet-26529	81	36	=	=	PUNCT
fet-26529	81	37	(	(	PUNCT
fet-26529	81	38	14	14	NUM
fet-26529	81	39	*	*	SYM
fet-26529	81	40	14	14	NUM
fet-26529	81	41	*	*	SYM
fet-26529	81	42	16)*48	16)*48	PRON
fet-26529	81	43	+	+	PUNCT
fet-26529	81	44	(	(	PUNCT
fet-26529	81	45	14	14	NUM
fet-26529	81	46	*	*	SYM
fet-26529	81	47	14	14	NUM
fet-26529	81	48	*	*	SYM
fet-26529	81	49	48)*(5	48)*(5	NUM
fet-26529	81	50	*	*	SYM
fet-26529	81	51	5	5	NUM
fet-26529	81	52	*	*	SYM
fet-26529	81	53	16	16	NUM
fet-26529	81	54	)	)	PUNCT
fet-26529	81	55	=	=	PUNCT
fet-26529	81	56	5.3	5.3	NUM
fet-26529	81	57	m	m	NOUN
fet-26529	81	58	figure	figure	NOUN
fet-26529	81	59	3	3	NUM
fet-26529	81	60	.	.	PUNCT
fet-26529	81	61	principle	principle	NOUN
fet-26529	81	62	of	of	ADP
fet-26529	81	63	reducing	reduce	VERB
fet-26529	81	64	the	the	DET
fet-26529	81	65	computation	computation	NOUN
fet-26529	81	66	in	in	ADP
fet-26529	81	67	1x1	1x1	NUM
fet-26529	81	68	convolution	convolution	NOUN
fet-26529	81	69	kernels	kernel	NOUN
fet-26529	81	70	googlenet	googlenet	PROPN
fet-26529	81	71	trained	train	VERB
fet-26529	81	72	on	on	ADP
fet-26529	81	73	the	the	DET
fet-26529	81	74	imagenet	imagenet	NOUN
fet-26529	81	75	dataset	dataset	NOUN
fet-26529	81	76	can	can	AUX
fet-26529	81	77	classify	classify	VERB
fet-26529	81	78	and	and	CCONJ
fet-26529	81	79	recognize	recognize	VERB
fet-26529	81	80	over	over	ADP
fet-26529	81	81	1000	1000	NUM
fet-26529	81	82	objects	object	NOUN
fet-26529	81	83	,	,	PUNCT
fet-26529	81	84	including	include	VERB
fet-26529	81	85	animals	animal	NOUN
fet-26529	81	86	,	,	PUNCT
fet-26529	81	87	numbers	number	NOUN
fet-26529	81	88	,	,	PUNCT
fet-26529	81	89	stationery	stationery	NOUN
fet-26529	81	90	.	.	PUNCT
fet-26529	82	1	further	far	ADV
fet-26529	82	2	trained	train	VERB
fet-26529	82	3	on	on	ADP
fet-26529	82	4	the	the	DET
fet-26529	82	5	place365	place365	PROPN
fet-26529	82	6	dataset	dataset	NOUN
fet-26529	82	7	,	,	PUNCT
fet-26529	82	8	googlenet	googlenet	NOUN
fet-26529	82	9	can	can	AUX
fet-26529	82	10	classify	classify	VERB
fet-26529	82	11	and	and	CCONJ
fet-26529	82	12	recognize	recognize	VERB
fet-26529	82	13	365	365	NUM
fet-26529	82	14	locations	location	NOUN
fet-26529	82	15	,	,	PUNCT
fet-26529	82	16	such	such	ADJ
fet-26529	82	17	as	as	ADP
fet-26529	82	18	fields	field	NOUN
fet-26529	82	19	,	,	PUNCT
fet-26529	82	20	trails	trail	NOUN
fet-26529	82	21	,	,	PUNCT
fet-26529	82	22	banquet	banquet	NOUN
fet-26529	82	23	halls	hall	NOUN
fet-26529	82	24	,	,	PUNCT
fet-26529	82	25	and	and	CCONJ
fet-26529	82	26	many	many	ADJ
fet-26529	82	27	others	other	NOUN
fet-26529	82	28	.	.	PUNCT
fet-26529	83	1	2.2.2	2.2.2	NUM
fet-26529	83	2	resnet	resnet	NOUN
fet-26529	83	3	since	since	SCONJ
fet-26529	83	4	the	the	DET
fet-26529	83	5	inception	inception	NOUN
fet-26529	83	6	of	of	ADP
fet-26529	83	7	the	the	DET
fet-26529	83	8	first	first	ADJ
fet-26529	83	9	cnn	cnn	PROPN
fet-26529	83	10	,	,	PUNCT
fet-26529	83	11	alexnet	alexnet	PROPN
fet-26529	83	12	,	,	PUNCT
fet-26529	83	13	at	at	ADP
fet-26529	83	14	the	the	DET
fet-26529	83	15	imagenet	imagenet	NOUN
fet-26529	83	16	contest	contest	NOUN
fet-26529	83	17	in	in	ADP
fet-26529	83	18	2012	2012	NUM
fet-26529	83	19	,	,	PUNCT
fet-26529	83	20	the	the	DET
fet-26529	83	21	error	error	NOUN
fet-26529	83	22	rate	rate	NOUN
fet-26529	83	23	has	have	AUX
fet-26529	83	24	decreased	decrease	VERB
fet-26529	83	25	progressively	progressively	ADV
fet-26529	83	26	every	every	DET
fet-26529	83	27	year	year	NOUN
fet-26529	83	28	by	by	ADP
fet-26529	83	29	increasing	increase	VERB
fet-26529	83	30	the	the	DET
fet-26529	83	31	number	number	NOUN
fet-26529	83	32	of	of	ADP
fet-26529	83	33	network	network	NOUN
fet-26529	83	34	layers	layer	NOUN
fet-26529	83	35	in	in	ADP
fet-26529	83	36	deep	deep	ADJ
fet-26529	83	37	learning	learning	NOUN
fet-26529	83	38	.	.	PUNCT
fet-26529	84	1	however	however	ADV
fet-26529	84	2	,	,	PUNCT
fet-26529	84	3	research	research	NOUN
fet-26529	84	4	has	have	AUX
fet-26529	84	5	revealed	reveal	VERB
fet-26529	84	6	that	that	SCONJ
fet-26529	84	7	the	the	DET
fet-26529	84	8	performance	performance	NOUN
fet-26529	84	9	of	of	ADP
fet-26529	84	10	the	the	DET
fet-26529	84	11	network	network	NOUN
fet-26529	84	12	might	might	AUX
fet-26529	84	13	diminish	diminish	VERB
fet-26529	84	14	with	with	ADP
fet-26529	84	15	endless	endless	ADJ
fet-26529	84	16	layer	layer	NOUN
fet-26529	84	17	incrementation	incrementation	NOUN
fet-26529	84	18	leading	lead	VERB
fet-26529	84	19	to	to	ADP
fet-26529	84	20	an	an	DET
fet-26529	84	21	increased	increase	VERB
fet-26529	84	22	error	error	NOUN
fet-26529	84	23	rate	rate	NOUN
fet-26529	84	24	.	.	PUNCT
fet-26529	85	1	this	this	DET
fet-26529	85	2	phenomenon	phenomenon	NOUN
fet-26529	85	3	is	be	AUX
fet-26529	85	4	known	know	VERB
fet-26529	85	5	as	as	ADP
fet-26529	85	6	gradient	gradient	ADJ
fet-26529	85	7	vanishing	vanishing	NOUN
fet-26529	85	8	or	or	CCONJ
fet-26529	85	9	exploding	explode	VERB
fet-26529	85	10	.	.	PUNCT
fet-26529	86	1	while	while	SCONJ
fet-26529	86	2	adding	add	VERB
fet-26529	86	3	layers	layer	NOUN
fet-26529	86	4	increases	increase	VERB
fet-26529	86	5	the	the	DET
fet-26529	86	6	network	network	NOUN
fet-26529	86	7	’s	’s	PART
fet-26529	86	8	parameter	parameter	NOUN
fet-26529	86	9	number	number	NOUN
fet-26529	86	10	and	and	CCONJ
fet-26529	86	11	enables	enable	VERB
fet-26529	86	12	deeper	deep	ADJ
fet-26529	86	13	feature	feature	NOUN
fet-26529	86	14	identification	identification	NOUN
fet-26529	86	15	,	,	PUNCT
fet-26529	86	16	neural	neural	ADJ
fet-26529	86	17	networks	network	NOUN
fet-26529	86	18	use	use	VERB
fet-26529	86	19	gradient	gradient	ADJ
fet-26529	86	20	descent	descent	NOUN
fet-26529	86	21	for	for	ADP
fet-26529	86	22	model	model	NOUN
fet-26529	86	23	performance	performance	NOUN
fet-26529	86	24	optimization	optimization	NOUN
fet-26529	86	25	via	via	ADP
fet-26529	86	26	backpropagation	backpropagation	NOUN
fet-26529	86	27	partial	partial	ADJ
fet-26529	86	28	differential	differential	NOUN
fet-26529	86	29	multiplication	multiplication	NOUN
fet-26529	86	30	.	.	PUNCT
fet-26529	87	1	therefore	therefore	ADV
fet-26529	87	2	,	,	PUNCT
fet-26529	87	3	as	as	ADP
fet-26529	87	4	the	the	DET
fet-26529	87	5	layer	layer	NOUN
fet-26529	87	6	number	number	NOUN
fet-26529	87	7	increases	increase	VERB
fet-26529	87	8	,	,	PUNCT
fet-26529	87	9	the	the	DET
fet-26529	87	10	gradient	gradient	NOUN
fet-26529	87	11	will	will	AUX
fet-26529	87	12	exponentially	exponentially	ADV
fet-26529	87	13	increase	increase	VERB
fet-26529	87	14	resulting	result	VERB
fet-26529	87	15	in	in	ADP
fet-26529	87	16	a	a	DET
fet-26529	87	17	gradient	gradient	ADJ
fet-26529	87	18	explosion	explosion	NOUN
fet-26529	87	19	when	when	SCONJ
fet-26529	87	20	the	the	DET
fet-26529	87	21	product	product	NOUN
fet-26529	87	22	is	be	AUX
fet-26529	87	23	greater	great	ADJ
fet-26529	87	24	than	than	ADP
fet-26529	87	25	1	1	NUM
fet-26529	87	26	.	.	PUNCT
fet-26529	88	1	conversely	conversely	ADV
fet-26529	88	2	,	,	PUNCT
fet-26529	88	3	the	the	DET
fet-26529	88	4	gradient	gradient	NOUN
fet-26529	88	5	can	can	AUX
fet-26529	88	6	disappear	disappear	VERB
fet-26529	88	7	.	.	PUNCT
fet-26529	89	1	researchers	researcher	NOUN
fet-26529	89	2	from	from	ADP
fet-26529	89	3	microsoft	microsoft	PROPN
fet-26529	89	4	in	in	ADP
fet-26529	89	5	2015	2015	NUM
fet-26529	89	6	proposed	propose	VERB
fet-26529	89	7	the	the	DET
fet-26529	89	8	residual	residual	ADJ
fet-26529	89	9	network	network	NOUN
fet-26529	89	10	(	(	PUNCT
fet-26529	89	11	resnet	resnet	NOUN
fet-26529	89	12	)	)	PUNCT
fet-26529	89	13	(	(	PUNCT
fet-26529	89	14	he	he	PRON
fet-26529	89	15	et	et	VERB
fet-26529	89	16	al	al	PROPN
fet-26529	89	17	.	.	PROPN
fet-26529	89	18	,	,	PUNCT
fet-26529	89	19	2016	2016	NUM
fet-26529	89	20	)	)	PUNCT
fet-26529	89	21	.	.	PUNCT
fet-26529	90	1	resnet	resnet	NOUN
fet-26529	90	2	implements	implement	NOUN
fet-26529	90	3	skip	skip	VERB
fet-26529	90	4	connection	connection	NOUN
fet-26529	90	5	technology	technology	NOUN
fet-26529	90	6	linking	link	VERB
fet-26529	90	7	directly	directly	ADV
fet-26529	90	8	to	to	ADP
fet-26529	90	9	the	the	DET
fet-26529	90	10	active	active	ADJ
fet-26529	90	11	layer	layer	NOUN
fet-26529	90	12	,	,	PUNCT
fet-26529	90	13	which	which	PRON
fet-26529	90	14	effectively	effectively	ADV
fet-26529	90	15	addresses	address	VERB
fet-26529	90	16	the	the	DET
fet-26529	90	17	issue	issue	NOUN
fet-26529	90	18	of	of	ADP
fet-26529	90	19	vanishing	vanish	VERB
fet-26529	90	20	or	or	CCONJ
fet-26529	90	21	exploding	explode	VERB
fet-26529	90	22	gradients	gradient	NOUN
fet-26529	90	23	.	.	PUNCT
fet-26529	91	1	when	when	SCONJ
fet-26529	91	2	vanishing	vanish	VERB
fet-26529	91	3	or	or	CCONJ
fet-26529	91	4	exploding	explode	VERB
fet-26529	91	5	gradients	gradient	NOUN
fet-26529	91	6	in	in	ADP
fet-26529	91	7	a	a	DET
fet-26529	91	8	middle	middle	ADJ
fet-26529	91	9	layer	layer	NOUN
fet-26529	91	10	,	,	PUNCT
fet-26529	91	11	the	the	DET
fet-26529	91	12	weights	weight	NOUN
fet-26529	91	13	of	of	ADP
fet-26529	91	14	that	that	DET
fet-26529	91	15	layer	layer	NOUN
fet-26529	91	16	are	be	AUX
fet-26529	91	17	set	set	VERB
fet-26529	91	18	to	to	ADP
fet-26529	91	19	zero	zero	NUM
fet-26529	91	20	ensuring	ensure	VERB
fet-26529	91	21	consistent	consistent	ADJ
fet-26529	91	22	input	input	NOUN
fet-26529	91	23	and	and	CCONJ
fet-26529	91	24	output	output	NOUN
fet-26529	91	25	while	while	SCONJ
fet-26529	91	26	preventing	prevent	VERB
fet-26529	91	27	a	a	DET
fet-26529	91	28	degradation	degradation	NOUN
fet-26529	91	29	in	in	ADP
fet-26529	91	30	performance	performance	NOUN
fet-26529	91	31	of	of	ADP
fet-26529	91	32	the	the	DET
fet-26529	91	33	entire	entire	ADJ
fet-26529	91	34	network	network	NOUN
fet-26529	91	35	.	.	PUNCT
fet-26529	92	1	unlike	unlike	ADP
fet-26529	92	2	traditional	traditional	ADJ
fet-26529	92	3	convolutional	convolutional	ADJ
fet-26529	92	4	networks	network	NOUN
fet-26529	92	5	,	,	PUNCT
fet-26529	92	6	where	where	SCONJ
fet-26529	92	7	it	it	PRON
fet-26529	92	8	is	be	AUX
fet-26529	92	9	difficult	difficult	ADJ
fet-26529	92	10	for	for	ADP
fet-26529	92	11	a	a	DET
fet-26529	92	12	large	large	ADJ
fet-26529	92	13	number	number	NOUN
fet-26529	92	14	of	of	ADP
fet-26529	92	15	layers	layer	NOUN
fet-26529	92	16	within	within	ADP
fet-26529	92	17	a	a	DET
fet-26529	92	18	dashed	dash	VERB
fet-26529	92	19	line	line	NOUN
fet-26529	92	20	to	to	PART
fet-26529	92	21	remain	remain	VERB
fet-26529	92	22	unchanged	unchanged	ADJ
fet-26529	92	23	,	,	PUNCT
fet-26529	92	24	resnet	resnet	NOUN
fet-26529	92	25	makes	make	VERB
fet-26529	92	26	it	it	PRON
fet-26529	92	27	easier	easy	ADJ
fet-26529	92	28	to	to	PART
fet-26529	92	29	keep	keep	VERB
fet-26529	92	30	the	the	DET
fet-26529	92	31	output	output	NOUN
fet-26529	92	32	value	value	NOUN
fet-26529	92	33	unchanged	unchanged	ADJ
fet-26529	92	34	.	.	PUNCT
fet-26529	93	1	to	to	PART
fet-26529	93	2	illustrate	illustrate	VERB
fet-26529	93	3	this	this	DET
fet-26529	93	4	difference	difference	NOUN
fet-26529	93	5	,	,	PUNCT
fet-26529	93	6	figure	figure	NOUN
fet-26529	93	7	4	4	NUM
fet-26529	93	8	shows	show	VERB
fet-26529	93	9	the	the	DET
fet-26529	93	10	comparison	comparison	NOUN
fet-26529	93	11	.	.	PUNCT
fet-26529	94	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	94	2	frontiers	frontier	NOUN
fet-26529	94	3	in	in	ADP
fet-26529	94	4	education	education	NOUN
fet-26529	94	5	technology	technology	NOUN
fet-26529	94	6	vol	vol	NOUN
fet-26529	94	7	.	.	PROPN
fet-26529	95	1	6	6	NUM
fet-26529	95	2	,	,	PUNCT
fet-26529	95	3	no	no	INTJ
fet-26529	95	4	.	.	NOUN
fet-26529	95	5	2	2	NUM
fet-26529	95	6	,	,	PUNCT
fet-26529	95	7	2023	2023	NUM
fet-26529	95	8	147	147	NUM
fet-26529	95	9	published	publish	VERB
fet-26529	95	10	by	by	ADP
fet-26529	95	11	scholink	scholink	PROPN
fet-26529	95	12	inc	inc	PROPN
fet-26529	95	13	.	.	PROPN
fet-26529	95	14	convolution	convolution	NOUN
fet-26529	95	15	layer	layer	NOUN
fet-26529	95	16	activation	activation	NOUN
fet-26529	95	17	function	function	NOUN
fet-26529	95	18	convolution	convolution	NOUN
fet-26529	95	19	layer	layer	NOUN
fet-26529	95	20	convolution	convolution	NOUN
fet-26529	95	21	layer	layer	NOUN
fet-26529	95	22	activation	activation	NOUN
fet-26529	95	23	function	function	NOUN
fet-26529	95	24	convolution	convolution	NOUN
fet-26529	95	25	layer	layer	NOUN
fet-26529	95	26	activation	activation	NOUN
fet-26529	95	27	function	function	NOUN
fet-26529	95	28	activation	activation	NOUN
fet-26529	95	29	function	function	VERB
fet-26529	95	30			NOUN
fet-26529	95	31	f	f	ADP
fet-26529	95	32	x	x	SYM
fet-26529	95	33			NOUN
fet-26529	95	34			PROPN
fet-26529	95	35			PROPN
fet-26529	95	36	g	g	NUM
fet-26529	96	1	f	f	PROPN
fet-26529	96	2	x	x	ADJ
fet-26529	96	3	x	x	PUNCT
fet-26529	96	4	x	x	PUNCT
fet-26529	96	5	x	x	PUNCT
fet-26529	96	6	x	x	SYM
fet-26529	96	7	x	x	X
fet-26529	96	8			NOUN
fet-26529	96	9	f	f	NOUN
fet-26529	96	10	x	x	SYM
fet-26529	96	11	figure	figure	NOUN
fet-26529	96	12	4	4	NUM
fet-26529	96	13	.	.	NOUN
fet-26529	96	14	comparison	comparison	NOUN
fet-26529	96	15	of	of	ADP
fet-26529	96	16	conventional	conventional	ADJ
fet-26529	96	17	cnn	cnn	PROPN
fet-26529	96	18	and	and	CCONJ
fet-26529	96	19	resnet	resnet	VERB
fet-26529	96	20	2.2.3	2.2.3	NUM
fet-26529	96	21	mobilenet	mobilenet	NOUN
fet-26529	96	22	with	with	ADP
fet-26529	96	23	the	the	DET
fet-26529	96	24	continuous	continuous	ADJ
fet-26529	96	25	development	development	NOUN
fet-26529	96	26	of	of	ADP
fet-26529	96	27	cnn	cnn	PROPN
fet-26529	96	28	,	,	PUNCT
fet-26529	96	29	the	the	DET
fet-26529	96	30	performance	performance	NOUN
fet-26529	96	31	improvement	improvement	NOUN
fet-26529	96	32	has	have	AUX
fet-26529	96	33	been	be	AUX
fet-26529	96	34	achieved	achieve	VERB
fet-26529	96	35	by	by	ADP
fet-26529	96	36	increasing	increase	VERB
fet-26529	96	37	the	the	DET
fet-26529	96	38	number	number	NOUN
fet-26529	96	39	of	of	ADP
fet-26529	96	40	layers	layer	NOUN
fet-26529	96	41	.	.	PUNCT
fet-26529	97	1	however	however	ADV
fet-26529	97	2	,	,	PUNCT
fet-26529	97	3	researchers	researcher	NOUN
fet-26529	97	4	have	have	AUX
fet-26529	97	5	realized	realize	VERB
fet-26529	97	6	that	that	SCONJ
fet-26529	97	7	although	although	SCONJ
fet-26529	97	8	complex	complex	ADJ
fet-26529	97	9	neural	neural	ADJ
fet-26529	97	10	networks	network	NOUN
fet-26529	97	11	can	can	AUX
fet-26529	97	12	improve	improve	VERB
fet-26529	97	13	performance	performance	NOUN
fet-26529	97	14	but	but	CCONJ
fet-26529	97	15	increase	increase	VERB
fet-26529	97	16	model	model	NOUN
fet-26529	97	17	complexity	complexity	NOUN
fet-26529	97	18	.	.	PUNCT
fet-26529	98	1	as	as	ADP
fet-26529	98	2	a	a	DET
fet-26529	98	3	result	result	NOUN
fet-26529	98	4	,	,	PUNCT
fet-26529	98	5	the	the	DET
fet-26529	98	6	multiplication	multiplication	NOUN
fet-26529	98	7	and	and	CCONJ
fet-26529	98	8	addition	addition	NOUN
fet-26529	98	9	operations	operation	NOUN
fet-26529	98	10	of	of	ADP
fet-26529	98	11	massive	massive	ADJ
fet-26529	98	12	model	model	NOUN
fet-26529	98	13	parameters	parameter	NOUN
fet-26529	98	14	requires	require	VERB
fet-26529	98	15	strong	strong	ADJ
fet-26529	98	16	computing	computing	NOUN
fet-26529	98	17	power	power	NOUN
fet-26529	98	18	in	in	ADP
fet-26529	98	19	reality	reality	NOUN
fet-26529	98	20	.	.	PUNCT
fet-26529	99	1	to	to	PART
fet-26529	99	2	address	address	VERB
fet-26529	99	3	this	this	DET
fet-26529	99	4	challenge	challenge	NOUN
fet-26529	99	5	,	,	PUNCT
fet-26529	99	6	some	some	DET
fet-26529	99	7	researchers	researcher	NOUN
fet-26529	99	8	have	have	AUX
fet-26529	99	9	shifted	shift	VERB
fet-26529	99	10	their	their	PRON
fet-26529	99	11	research	research	NOUN
fet-26529	99	12	focus	focus	NOUN
fet-26529	99	13	to	to	ADP
fet-26529	99	14	small	small	ADJ
fet-26529	99	15	-	-	PUNCT
fet-26529	99	16	scale	scale	NOUN
fet-26529	99	17	cnn	cnn	PROPN
fet-26529	99	18	models	model	NOUN
fet-26529	99	19	which	which	PRON
fet-26529	99	20	can	can	AUX
fet-26529	99	21	maintain	maintain	VERB
fet-26529	99	22	good	good	ADJ
fet-26529	99	23	model	model	NOUN
fet-26529	99	24	performance	performance	NOUN
fet-26529	99	25	while	while	SCONJ
fet-26529	99	26	avoiding	avoid	VERB
fet-26529	99	27	the	the	DET
fet-26529	99	28	need	need	NOUN
fet-26529	99	29	for	for	ADP
fet-26529	99	30	strong	strong	ADJ
fet-26529	99	31	computing	computing	NOUN
fet-26529	99	32	power	power	NOUN
fet-26529	99	33	.	.	PUNCT
fet-26529	100	1	google	google	PROPN
fet-26529	100	2	’s	’s	PART
fet-26529	100	3	mobilenet	mobilenet	NOUN
fet-26529	100	4	is	be	AUX
fet-26529	100	5	a	a	DET
fet-26529	100	6	compact	compact	ADJ
fet-26529	100	7	and	and	CCONJ
fet-26529	100	8	efficient	efficient	ADJ
fet-26529	100	9	cnn	cnn	PROPN
fet-26529	100	10	model	model	NOUN
fet-26529	100	11	that	that	PRON
fet-26529	100	12	uses	use	VERB
fet-26529	100	13	depth	depth	NOUN
fet-26529	100	14	-	-	PUNCT
fet-26529	100	15	wise	wise	ADJ
fet-26529	100	16	separable	separable	ADJ
fet-26529	100	17	convolution	convolution	NOUN
fet-26529	100	18	to	to	PART
fet-26529	100	19	construct	construct	VERB
fet-26529	100	20	lightweight	lightweight	ADJ
fet-26529	100	21	neural	neural	ADJ
fet-26529	100	22	networks	network	NOUN
fet-26529	100	23	(	(	PUNCT
fet-26529	100	24	howard	howard	PROPN
fet-26529	100	25	et	et	PROPN
fet-26529	100	26	al	al	PROPN
fet-26529	100	27	.	.	PROPN
fet-26529	100	28	,	,	PUNCT
fet-26529	100	29	2017	2017	NUM
fet-26529	100	30	;	;	PUNCT
fet-26529	100	31	sandler	sandler	PROPN
fet-26529	100	32	et	et	PROPN
fet-26529	100	33	al	al	PROPN
fet-26529	100	34	.	.	PROPN
fet-26529	100	35	,	,	PUNCT
fet-26529	100	36	2018	2018	NUM
fet-26529	100	37	)	)	PUNCT
fet-26529	100	38	.	.	PUNCT
fet-26529	101	1	in	in	ADP
fet-26529	101	2	traditional	traditional	ADJ
fet-26529	101	3	convolutions	convolution	NOUN
fet-26529	101	4	,	,	PUNCT
fet-26529	101	5	the	the	DET
fet-26529	101	6	kernel	kernel	NOUN
fet-26529	101	7	is	be	AUX
fet-26529	101	8	applied	apply	VERB
fet-26529	101	9	uniformly	uniformly	ADV
fet-26529	101	10	across	across	ADP
fet-26529	101	11	all	all	DET
fet-26529	101	12	the	the	DET
fet-26529	101	13	input	input	NOUN
fet-26529	101	14	image	image	NOUN
fet-26529	101	15	channels	channel	NOUN
fet-26529	101	16	.	.	PUNCT
fet-26529	102	1	however	however	ADV
fet-26529	102	2	,	,	PUNCT
fet-26529	102	3	depth	depth	NOUN
fet-26529	102	4	-	-	PUNCT
fet-26529	102	5	wise	wise	ADJ
fet-26529	102	6	separable	separable	ADJ
fet-26529	102	7	convolution	convolution	NOUN
fet-26529	102	8	performs	perform	VERB
fet-26529	102	9	convolution	convolution	NOUN
fet-26529	102	10	separately	separately	ADV
fet-26529	102	11	on	on	ADP
fet-26529	102	12	each	each	DET
fet-26529	102	13	channel	channel	NOUN
fet-26529	102	14	as	as	SCONJ
fet-26529	102	15	shown	show	VERB
fet-26529	102	16	in	in	ADP
fet-26529	102	17	figure	figure	NOUN
fet-26529	102	18	5	5	NUM
fet-26529	102	19	.	.	PUNCT
fet-26529	102	20	to	to	PART
fet-26529	102	21	avoid	avoid	VERB
fet-26529	102	22	compromising	compromise	VERB
fet-26529	102	23	the	the	DET
fet-26529	102	24	effectiveness	effectiveness	NOUN
fet-26529	102	25	of	of	ADP
fet-26529	102	26	the	the	DET
fet-26529	102	27	model	model	NOUN
fet-26529	102	28	,	,	PUNCT
fet-26529	102	29	pointwise	pointwise	PROPN
fet-26529	102	30	convolution	convolution	NOUN
fet-26529	102	31	is	be	AUX
fet-26529	102	32	introduced	introduce	VERB
fet-26529	102	33	.	.	PUNCT
fet-26529	103	1	pointwise	pointwise	PROPN
fet-26529	103	2	convolution	convolution	NOUN
fet-26529	103	3	is	be	AUX
fet-26529	103	4	a	a	DET
fet-26529	103	5	1x1	1x1	NUM
fet-26529	103	6	convolution	convolution	NOUN
fet-26529	103	7	kernel	kernel	NOUN
fet-26529	103	8	for	for	ADP
fet-26529	103	9	dimensionality	dimensionality	NOUN
fet-26529	103	10	enhancement	enhancement	NOUN
fet-26529	103	11	.	.	PUNCT
fet-26529	104	1	unlike	unlike	ADP
fet-26529	104	2	traditional	traditional	ADJ
fet-26529	104	3	convolution	convolution	NOUN
fet-26529	104	4	,	,	PUNCT
fet-26529	104	5	depth	depth	NOUN
fet-26529	104	6	-	-	PUNCT
fet-26529	104	7	wise	wise	ADJ
fet-26529	104	8	separable	separable	ADJ
fet-26529	104	9	convolution	convolution	NOUN
fet-26529	104	10	achieves	achieve	VERB
fet-26529	104	11	faster	fast	ADJ
fet-26529	104	12	model	model	NOUN
fet-26529	104	13	convergence	convergence	NOUN
fet-26529	104	14	with	with	ADP
fet-26529	104	15	fewer	few	ADJ
fet-26529	104	16	parameters	parameter	NOUN
fet-26529	104	17	.	.	PUNCT
fet-26529	105	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	105	2	frontiers	frontier	NOUN
fet-26529	105	3	in	in	ADP
fet-26529	105	4	education	education	NOUN
fet-26529	105	5	technology	technology	NOUN
fet-26529	105	6	vol	vol	NOUN
fet-26529	105	7	.	.	PROPN
fet-26529	106	1	6	6	NUM
fet-26529	106	2	,	,	PUNCT
fet-26529	106	3	no	no	INTJ
fet-26529	106	4	.	.	NOUN
fet-26529	106	5	2	2	NUM
fet-26529	106	6	,	,	PUNCT
fet-26529	106	7	2023	2023	NUM
fet-26529	106	8	148	148	NUM
fet-26529	106	9	published	publish	VERB
fet-26529	106	10	by	by	ADP
fet-26529	106	11	scholink	scholink	PROPN
fet-26529	106	12	inc	inc	PROPN
fet-26529	106	13	.	.	PROPN
fet-26529	107	1	b	b	PROPN
fet-26529	107	2	g	g	NOUN
fet-26529	107	3	r	r	NOUN
fet-26529	107	4	3x3	3x3	NUM
fet-26529	107	5	3x33x3	3x33x3	NUM
fet-26529	107	6	feature	feature	NOUN
fet-26529	107	7	map	map	NOUN
fet-26529	107	8	1	1	NUM
fet-26529	107	9	feature	feature	NOUN
fet-26529	107	10	map	map	NOUN
fet-26529	107	11	2	2	NUM
fet-26529	107	12	depth	depth	NOUN
fet-26529	107	13	-	-	PUNCT
fet-26529	107	14	wise	wise	ADJ
fet-26529	107	15	separable	separable	ADJ
fet-26529	107	16	convolution	convolution	NOUN
fet-26529	107	17	feature	feature	NOUN
fet-26529	107	18	map	map	NOUN
fet-26529	107	19	3	3	NUM
fet-26529	107	20	1x1	1x1	NUM
fet-26529	107	21	1x1	1x1	NUM
fet-26529	107	22	1x1	1x1	NUM
fet-26529	107	23	1x1	1x1	NUM
fet-26529	107	24	1x1	1x1	NUM
fet-26529	107	25	1x1	1x1	NUM
fet-26529	107	26	1x1	1x1	NUM
fet-26529	107	27	1x1	1x1	NUM
fet-26529	107	28	1x1	1x1	NUM
fet-26529	107	29	1x1	1x1	NUM
fet-26529	107	30	1x1	1x1	NUM
fet-26529	107	31	1x1	1x1	NUM
fet-26529	107	32	feature	feature	NOUN
fet-26529	107	33	map	map	NOUN
fet-26529	107	34	a	a	DET
fet-26529	107	35	feature	feature	NOUN
fet-26529	107	36	map	map	NOUN
fet-26529	107	37	b	b	NOUN
fet-26529	107	38	feature	feature	NOUN
fet-26529	107	39	map	map	NOUN
fet-26529	107	40	c	c	NOUN
fet-26529	107	41	feature	feature	NOUN
fet-26529	107	42	map	map	NOUN
fet-26529	108	1	d	d	X
fet-26529	108	2	pointwise	pointwise	ADJ
fet-26529	108	3	convolution	convolution	NOUN
fet-26529	108	4	figure	figure	NOUN
fet-26529	108	5	5	5	NUM
fet-26529	108	6	.	.	PUNCT
fet-26529	108	7	principle	principle	NOUN
fet-26529	108	8	of	of	ADP
fet-26529	108	9	depth	depth	NOUN
fet-26529	108	10	-	-	PUNCT
fet-26529	108	11	wise	wise	ADJ
fet-26529	108	12	separable	separable	ADJ
fet-26529	108	13	convolution	convolution	NOUN
fet-26529	108	14	2.3	2.3	NUM
fet-26529	108	15	transfer	transfer	NOUN
fet-26529	108	16	learning	learning	NOUN
fet-26529	108	17	in	in	ADP
fet-26529	108	18	practical	practical	ADJ
fet-26529	108	19	applications	application	NOUN
fet-26529	108	20	of	of	ADP
fet-26529	108	21	neural	neural	ADJ
fet-26529	108	22	networks	network	NOUN
fet-26529	108	23	,	,	PUNCT
fet-26529	108	24	it	it	PRON
fet-26529	108	25	is	be	AUX
fet-26529	108	26	common	common	ADJ
fet-26529	108	27	to	to	PART
fet-26529	108	28	encounter	encounter	VERB
fet-26529	108	29	problems	problem	NOUN
fet-26529	108	30	that	that	PRON
fet-26529	108	31	lack	lack	VERB
fet-26529	108	32	relevant	relevant	ADJ
fet-26529	108	33	,	,	PUNCT
fet-26529	108	34	large	large	ADJ
fet-26529	108	35	datasets	dataset	NOUN
fet-26529	108	36	for	for	ADP
fet-26529	108	37	sufficient	sufficient	ADJ
fet-26529	108	38	training	training	NOUN
fet-26529	108	39	neural	neural	ADJ
fet-26529	108	40	network	network	NOUN
fet-26529	108	41	models	model	NOUN
fet-26529	108	42	.	.	PUNCT
fet-26529	109	1	moreover	moreover	ADV
fet-26529	109	2	,	,	PUNCT
fet-26529	109	3	the	the	DET
fet-26529	109	4	training	training	NOUN
fet-26529	109	5	process	process	NOUN
fet-26529	109	6	requires	require	VERB
fet-26529	109	7	large	large	ADJ
fet-26529	109	8	amounts	amount	NOUN
fet-26529	109	9	of	of	ADP
fet-26529	109	10	computational	computational	ADJ
fet-26529	109	11	resources	resource	NOUN
fet-26529	109	12	and	and	CCONJ
fet-26529	109	13	time	time	NOUN
fet-26529	109	14	.	.	PUNCT
fet-26529	110	1	to	to	PART
fet-26529	110	2	address	address	VERB
fet-26529	110	3	these	these	DET
fet-26529	110	4	issues	issue	NOUN
fet-26529	110	5	,	,	PUNCT
fet-26529	110	6	researchers	researcher	NOUN
fet-26529	110	7	have	have	AUX
fet-26529	110	8	introduced	introduce	VERB
fet-26529	110	9	transfer	transfer	NOUN
fet-26529	110	10	learning	learning	NOUN
fet-26529	110	11	.	.	PUNCT
fet-26529	111	1	transfer	transfer	NOUN
fet-26529	111	2	learning	learning	NOUN
fet-26529	111	3	uses	use	VERB
fet-26529	111	4	pre	pre	ADJ
fet-26529	111	5	-	-	ADJ
fet-26529	111	6	trained	train	VERB
fet-26529	111	7	neural	neural	ADJ
fet-26529	111	8	networks	network	NOUN
fet-26529	111	9	to	to	PART
fet-26529	111	10	train	train	VERB
fet-26529	111	11	models	model	NOUN
fet-26529	111	12	for	for	ADP
fet-26529	111	13	new	new	ADJ
fet-26529	111	14	tasks	task	NOUN
fet-26529	111	15	like	like	ADP
fet-26529	111	16	human	human	ADJ
fet-26529	111	17	use	use	NOUN
fet-26529	111	18	experiences	experience	NOUN
fet-26529	111	19	to	to	PART
fet-26529	111	20	solve	solve	VERB
fet-26529	111	21	new	new	ADJ
fet-26529	111	22	tasks	task	NOUN
fet-26529	111	23	in	in	ADP
fet-26529	111	24	life	life	NOUN
fet-26529	111	25	.	.	PUNCT
fet-26529	112	1	figure	figure	NOUN
fet-26529	112	2	6	6	NUM
fet-26529	112	3	shows	show	VERB
fet-26529	112	4	the	the	DET
fet-26529	112	5	comparison	comparison	NOUN
fet-26529	112	6	between	between	ADP
fet-26529	112	7	traditional	traditional	ADJ
fet-26529	112	8	machine	machine	NOUN
fet-26529	112	9	learning	learning	NOUN
fet-26529	112	10	and	and	CCONJ
fet-26529	112	11	transfer	transfer	VERB
fet-26529	112	12	learning	learning	NOUN
fet-26529	112	13	.	.	PUNCT
fet-26529	113	1	the	the	DET
fet-26529	113	2	source	source	NOUN
fet-26529	113	3	domain	domain	NOUN
fet-26529	113	4	refers	refer	VERB
fet-26529	113	5	to	to	ADP
fet-26529	113	6	the	the	DET
fet-26529	113	7	sample	sample	NOUN
fet-26529	113	8	and	and	CCONJ
fet-26529	113	9	label	label	NOUN
fet-26529	113	10	set	set	NOUN
fet-26529	113	11	of	of	ADP
fet-26529	113	12	the	the	DET
fet-26529	113	13	original	original	ADJ
fet-26529	113	14	network	network	NOUN
fet-26529	113	15	,	,	PUNCT
fet-26529	113	16	while	while	SCONJ
fet-26529	113	17	the	the	DET
fet-26529	113	18	target	target	NOUN
fet-26529	113	19	domain	domain	NOUN
fet-26529	113	20	is	be	AUX
fet-26529	113	21	ones	one	NOUN
fet-26529	113	22	in	in	ADP
fet-26529	113	23	the	the	DET
fet-26529	113	24	new	new	ADJ
fet-26529	113	25	network	network	NOUN
fet-26529	113	26	.	.	PUNCT
fet-26529	114	1	the	the	DET
fet-26529	114	2	process	process	NOUN
fet-26529	114	3	of	of	ADP
fet-26529	114	4	transfer	transfer	NOUN
fet-26529	114	5	learning	learning	NOUN
fet-26529	114	6	typically	typically	ADV
fet-26529	114	7	consists	consist	VERB
fet-26529	114	8	of	of	ADP
fet-26529	114	9	three	three	NUM
fet-26529	114	10	steps	step	NOUN
fet-26529	114	11	:	:	PUNCT
fet-26529	114	12	1	1	NUM
fet-26529	114	13	)	)	PUNCT
fet-26529	114	14	.	.	PUNCT
fet-26529	115	1	selecting	select	VERB
fet-26529	115	2	a	a	DET
fet-26529	115	3	pre	pre	ADJ
fet-26529	115	4	-	-	ADJ
fet-26529	115	5	trained	train	VERB
fet-26529	115	6	model	model	NOUN
fet-26529	115	7	correlated	correlate	VERB
fet-26529	115	8	with	with	ADP
fet-26529	115	9	the	the	DET
fet-26529	115	10	target	target	NOUN
fet-26529	115	11	domain	domain	NOUN
fet-26529	115	12	features	feature	NOUN
fet-26529	115	13	.	.	PUNCT
fet-26529	116	1	for	for	ADP
fet-26529	116	2	instance	instance	NOUN
fet-26529	116	3	,	,	PUNCT
fet-26529	116	4	if	if	SCONJ
fet-26529	116	5	a	a	DET
fet-26529	116	6	neural	neural	ADJ
fet-26529	116	7	network	network	NOUN
fet-26529	116	8	model	model	NOUN
fet-26529	116	9	can	can	AUX
fet-26529	116	10	classify	classify	VERB
fet-26529	116	11	and	and	CCONJ
fet-26529	116	12	recognize	recognize	VERB
fet-26529	116	13	sunglasses	sunglass	NOUN
fet-26529	116	14	,	,	PUNCT
fet-26529	116	15	retraining	retrain	VERB
fet-26529	116	16	on	on	ADP
fet-26529	116	17	corresponding	correspond	VERB
fet-26529	116	18	datasets	dataset	NOUN
fet-26529	116	19	can	can	AUX
fet-26529	116	20	help	help	VERB
fet-26529	116	21	the	the	DET
fet-26529	116	22	model	model	NOUN
fet-26529	116	23	acquire	acquire	VERB
fet-26529	116	24	knowledge	knowledge	NOUN
fet-26529	116	25	about	about	ADP
fet-26529	116	26	backpacks	backpack	NOUN
fet-26529	116	27	to	to	PART
fet-26529	116	28	classify	classify	VERB
fet-26529	116	29	and	and	CCONJ
fet-26529	116	30	recognize	recognize	VERB
fet-26529	116	31	them	they	PRON
fet-26529	116	32	.	.	PUNCT
fet-26529	117	1	2	2	NUM
fet-26529	117	2	)	)	PUNCT
fet-26529	117	3	.	.	PUNCT
fet-26529	118	1	fine	fine	ADJ
fet-26529	118	2	-	-	PUNCT
fet-26529	118	3	tuning	tune	VERB
fet-26529	118	4	the	the	DET
fet-26529	118	5	pre	pre	ADJ
fet-26529	118	6	-	-	ADJ
fet-26529	118	7	trained	train	VERB
fet-26529	118	8	model	model	NOUN
fet-26529	118	9	by	by	ADP
fet-26529	118	10	adjusting	adjust	VERB
fet-26529	118	11	the	the	DET
fet-26529	118	12	model	model	NOUN
fet-26529	118	13	layer	layer	NOUN
fet-26529	118	14	structure	structure	NOUN
fet-26529	118	15	for	for	ADP
fet-26529	118	16	specific	specific	ADJ
fet-26529	118	17	applications	application	NOUN
fet-26529	118	18	.	.	PUNCT
fet-26529	119	1	in	in	ADP
fet-26529	119	2	some	some	DET
fet-26529	119	3	cases	case	NOUN
fet-26529	119	4	,	,	PUNCT
fet-26529	119	5	certain	certain	ADJ
fet-26529	119	6	layers	layer	NOUN
fet-26529	119	7	are	be	AUX
fet-26529	119	8	frozen	freeze	VERB
fet-26529	119	9	to	to	PART
fet-26529	119	10	keep	keep	VERB
fet-26529	119	11	the	the	DET
fet-26529	119	12	parameters	parameter	NOUN
fet-26529	119	13	unchanged	unchanged	ADJ
fet-26529	119	14	during	during	ADP
fet-26529	119	15	training	training	NOUN
fet-26529	119	16	.	.	PUNCT
fet-26529	120	1	for	for	ADP
fet-26529	120	2	example	example	NOUN
fet-26529	120	3	,	,	PUNCT
fet-26529	120	4	the	the	DET
fet-26529	120	5	fully	fully	ADV
fet-26529	120	6	connected	connected	ADJ
fet-26529	120	7	layer	layer	NOUN
fet-26529	120	8	of	of	ADP
fet-26529	120	9	the	the	DET
fet-26529	120	10	original	original	ADJ
fet-26529	120	11	model	model	NOUN
fet-26529	120	12	composed	compose	VERB
fet-26529	120	13	of	of	ADP
fet-26529	120	14	1000	1000	NUM
fet-26529	120	15	neurons	neuron	NOUN
fet-26529	120	16	can	can	AUX
fet-26529	120	17	be	be	AUX
fet-26529	120	18	replaced	replace	VERB
fet-26529	120	19	with	with	ADP
fet-26529	120	20	a	a	DET
fet-26529	120	21	fully	fully	ADV
fet-26529	120	22	connected	connect	VERB
fet-26529	120	23	layer	layer	NOUN
fet-26529	120	24	composed	compose	VERB
fet-26529	120	25	of	of	ADP
fet-26529	120	26	10	10	NUM
fet-26529	120	27	neurons	neuron	NOUN
fet-26529	120	28	to	to	PART
fet-26529	120	29	recognize	recognize	VERB
fet-26529	120	30	10	10	NUM
fet-26529	120	31	new	new	ADJ
fet-26529	120	32	objects	object	NOUN
fet-26529	120	33	.	.	PUNCT
fet-26529	121	1	3	3	NUM
fet-26529	121	2	)	)	PUNCT
fet-26529	121	3	.	.	PUNCT
fet-26529	122	1	train	train	NOUN
fet-26529	122	2	and	and	CCONJ
fet-26529	122	3	validate	validate	VERB
fet-26529	122	4	the	the	DET
fet-26529	122	5	new	new	ADJ
fet-26529	122	6	model	model	NOUN
fet-26529	122	7	by	by	ADP
fet-26529	122	8	monitoring	monitor	VERB
fet-26529	122	9	the	the	DET
fet-26529	122	10	training	training	NOUN
fet-26529	122	11	process	process	NOUN
fet-26529	122	12	,	,	PUNCT
fet-26529	122	13	adjusting	adjust	VERB
fet-26529	122	14	hyperparameters	hyperparameter	NOUN
fet-26529	122	15	and	and	CCONJ
fet-26529	122	16	evaluating	evaluate	VERB
fet-26529	122	17	model	model	NOUN
fet-26529	122	18	performance	performance	NOUN
fet-26529	122	19	after	after	ADP
fet-26529	122	20	convergence	convergence	NOUN
fet-26529	122	21	.	.	PUNCT
fet-26529	123	1	in	in	ADP
fet-26529	123	2	fact	fact	NOUN
fet-26529	123	3	,	,	PUNCT
fet-26529	123	4	training	train	VERB
fet-26529	123	5	an	an	DET
fet-26529	123	6	initial	initial	ADJ
fet-26529	123	7	cnn	cnn	NOUN
fet-26529	123	8	model	model	NOUN
fet-26529	123	9	is	be	AUX
fet-26529	123	10	rare	rare	ADJ
fet-26529	123	11	.	.	PUNCT
fet-26529	124	1	instead	instead	ADV
fet-26529	124	2	,	,	PUNCT
fet-26529	124	3	transfer	transfer	NOUN
fet-26529	124	4	learning	learning	NOUN
fet-26529	124	5	is	be	AUX
fet-26529	124	6	commonly	commonly	ADV
fet-26529	124	7	used	use	VERB
fet-26529	124	8	in	in	ADP
fet-26529	124	9	different	different	ADJ
fet-26529	124	10	but	but	CCONJ
fet-26529	124	11	relevant	relevant	ADJ
fet-26529	124	12	fields	field	NOUN
fet-26529	124	13	to	to	PART
fet-26529	124	14	solve	solve	VERB
fet-26529	124	15	new	new	ADJ
fet-26529	124	16	problems	problem	NOUN
fet-26529	124	17	.	.	PUNCT
fet-26529	125	1	it	it	PRON
fet-26529	125	2	also	also	ADV
fet-26529	125	3	extracts	extract	VERB
fet-26529	125	4	sample	sample	NOUN
fet-26529	125	5	features	feature	NOUN
fet-26529	125	6	in	in	ADP
fet-26529	125	7	a	a	DET
fet-26529	125	8	relatively	relatively	ADV
fet-26529	125	9	short	short	ADJ
fet-26529	125	10	time	time	NOUN
fet-26529	125	11	on	on	ADP
fet-26529	125	12	small	small	ADJ
fet-26529	125	13	training	training	NOUN
fet-26529	125	14	datasets	dataset	NOUN
fet-26529	125	15	while	while	SCONJ
fet-26529	125	16	enabling	enable	VERB
fet-26529	125	17	efficient	efficient	ADJ
fet-26529	125	18	classification	classification	NOUN
fet-26529	125	19	and	and	CCONJ
fet-26529	125	20	recognition	recognition	NOUN
fet-26529	125	21	.	.	PUNCT
fet-26529	126	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	126	2	frontiers	frontier	NOUN
fet-26529	126	3	in	in	ADP
fet-26529	126	4	education	education	NOUN
fet-26529	126	5	technology	technology	NOUN
fet-26529	126	6	vol	vol	NOUN
fet-26529	126	7	.	.	PROPN
fet-26529	127	1	6	6	NUM
fet-26529	127	2	,	,	PUNCT
fet-26529	127	3	no	no	INTJ
fet-26529	127	4	.	.	NOUN
fet-26529	127	5	2	2	NUM
fet-26529	127	6	,	,	PUNCT
fet-26529	127	7	2023	2023	NUM
fet-26529	127	8	149	149	NUM
fet-26529	127	9	published	publish	VERB
fet-26529	127	10	by	by	ADP
fet-26529	127	11	scholink	scholink	PROPN
fet-26529	127	12	inc	inc	PROPN
fet-26529	127	13	.	.	PROPN
fet-26529	128	1	dataset	dataset	VERB
fet-26529	128	2	2dataset	2dataset	NUM
fet-26529	128	3	1	1	NUM
fet-26529	128	4	task	task	NOUN
fet-26529	128	5	1	1	NUM
fet-26529	128	6	task	task	NOUN
fet-26529	128	7	2	2	NUM
fet-26529	128	8	dataset	dataset	VERB
fet-26529	128	9	2dataset	2dataset	NUM
fet-26529	128	10	1	1	NUM
fet-26529	128	11	task	task	NOUN
fet-26529	128	12	1	1	NUM
fet-26529	128	13	task	task	NOUN
fet-26529	128	14	2information	2information	NUM
fet-26529	128	15	traditional	traditional	ADJ
fet-26529	128	16	ml	ml	NOUN
fet-26529	128	17	transfer	transfer	NOUN
fet-26529	128	18	learning	learning	NOUN
fet-26529	128	19	figure	figure	NOUN
fet-26529	128	20	6	6	NUM
fet-26529	128	21	.	.	PUNCT
fet-26529	128	22	comparison	comparison	NOUN
fet-26529	128	23	of	of	ADP
fet-26529	128	24	conventional	conventional	ADJ
fet-26529	128	25	machine	machine	NOUN
fet-26529	128	26	learning	learning	NOUN
fet-26529	128	27	and	and	CCONJ
fet-26529	128	28	transfer	transfer	VERB
fet-26529	128	29	learning	learn	VERB
fet-26529	128	30	3	3	NUM
fet-26529	128	31	.	.	PUNCT
fet-26529	128	32	experimental	experimental	ADJ
fet-26529	128	33	preparation	preparation	NOUN
fet-26529	128	34	3.1	3.1	NUM
fet-26529	128	35	experimental	experimental	ADJ
fet-26529	128	36	environment	environment	NOUN
fet-26529	128	37	this	this	DET
fet-26529	128	38	paper	paper	NOUN
fet-26529	128	39	uses	use	VERB
fet-26529	128	40	laboratory	laboratory	NOUN
fet-26529	128	41	fire	fire	NOUN
fet-26529	128	42	and	and	CCONJ
fet-26529	128	43	non	non	ADJ
fet-26529	128	44	-	-	ADJ
fet-26529	128	45	fire	fire	ADJ
fet-26529	128	46	images	image	NOUN
fet-26529	128	47	as	as	ADP
fet-26529	128	48	samples	sample	NOUN
fet-26529	128	49	to	to	PART
fet-26529	128	50	conduct	conduct	VERB
fet-26529	128	51	transfer	transfer	NOUN
fet-26529	128	52	learning	learning	NOUN
fet-26529	128	53	on	on	ADP
fet-26529	128	54	three	three	NUM
fet-26529	128	55	specific	specific	ADJ
fet-26529	128	56	cnns	cnn	NOUN
fet-26529	128	57	:	:	PUNCT
fet-26529	128	58	googlenet	googlenet	NOUN
fet-26529	128	59	,	,	PUNCT
fet-26529	128	60	resnet18	resnet18	NOUN
fet-26529	128	61	,	,	PUNCT
fet-26529	128	62	and	and	CCONJ
fet-26529	128	63	mobilenet	mobilenet	NOUN
fet-26529	128	64	-	-	PUNCT
fet-26529	128	65	v2	v2	NOUN
fet-26529	128	66	,	,	PUNCT
fet-26529	128	67	which	which	PRON
fet-26529	128	68	are	be	AUX
fet-26529	128	69	pre	pre	ADJ
fet-26529	128	70	-	-	ADJ
fet-26529	128	71	trained	train	VERB
fet-26529	128	72	models	model	NOUN
fet-26529	128	73	.	.	PUNCT
fet-26529	129	1	the	the	DET
fet-26529	129	2	goal	goal	NOUN
fet-26529	129	3	is	be	AUX
fet-26529	129	4	to	to	PART
fet-26529	129	5	identify	identify	VERB
fet-26529	129	6	whether	whether	SCONJ
fet-26529	129	7	there	there	PRON
fet-26529	129	8	is	be	VERB
fet-26529	129	9	a	a	DET
fet-26529	129	10	fire	fire	NOUN
fet-26529	129	11	in	in	ADP
fet-26529	129	12	the	the	DET
fet-26529	129	13	laboratory	laboratory	NOUN
fet-26529	129	14	and	and	CCONJ
fet-26529	129	15	to	to	PART
fet-26529	129	16	evaluate	evaluate	VERB
fet-26529	129	17	the	the	DET
fet-26529	129	18	performance	performance	NOUN
fet-26529	129	19	of	of	ADP
fet-26529	129	20	the	the	DET
fet-26529	129	21	three	three	NUM
fet-26529	129	22	models	model	NOUN
fet-26529	129	23	.	.	PUNCT
fet-26529	130	1	the	the	DET
fet-26529	130	2	experimental	experimental	ADJ
fet-26529	130	3	steps	step	NOUN
fet-26529	130	4	are	be	AUX
fet-26529	130	5	shown	show	VERB
fet-26529	130	6	in	in	ADP
fet-26529	130	7	figure	figure	NOUN
fet-26529	130	8	7	7	NUM
fet-26529	130	9	.	.	PUNCT
fet-26529	130	10	dataset	dataset	ADJ
fet-26529	130	11	preparation	preparation	NOUN
fet-26529	130	12	data	datum	NOUN
fet-26529	130	13	pre	pre	ADJ
fet-26529	130	14	-	-	ADJ
fet-26529	130	15	processing	processing	ADJ
fet-26529	130	16	affine	affine	NOUN
fet-26529	130	17	transformation	transformation	NOUN
fet-26529	130	18	denoising	denoising	NOUN
fet-26529	130	19	model	model	NOUN
fet-26529	130	20	selction	selction	PROPN
fet-26529	130	21	training	training	NOUN
fet-26529	130	22	validation	validation	NOUN
fet-26529	130	23	figure	figure	NOUN
fet-26529	130	24	7	7	NUM
fet-26529	130	25	.	.	NOUN
fet-26529	130	26	procedure	procedure	NOUN
fet-26529	130	27	of	of	ADP
fet-26529	130	28	experiments	experiment	NOUN
fet-26529	130	29	the	the	DET
fet-26529	130	30	hardware	hardware	NOUN
fet-26529	130	31	processor	processor	NOUN
fet-26529	130	32	used	use	VERB
fet-26529	130	33	in	in	ADP
fet-26529	130	34	our	our	PRON
fet-26529	130	35	paper	paper	NOUN
fet-26529	130	36	is	be	AUX
fet-26529	130	37	the	the	DET
fet-26529	130	38	amd	amd	ADJ
fet-26529	130	39	r5	r5	PROPN
fet-26529	130	40	-	-	PUNCT
fet-26529	130	41	3600	3600	NUM
fet-26529	130	42	.	.	PUNCT
fet-26529	131	1	the	the	DET
fet-26529	131	2	software	software	NOUN
fet-26529	131	3	configuration	configuration	NOUN
fet-26529	131	4	operating	operating	NOUN
fet-26529	131	5	system	system	NOUN
fet-26529	131	6	is	be	AUX
fet-26529	131	7	windows	window	NOUN
fet-26529	131	8	10	10	NUM
fet-26529	131	9	64	64	NUM
fet-26529	131	10	-	-	PUNCT
fet-26529	131	11	bit	bit	NOUN
fet-26529	131	12	,	,	PUNCT
fet-26529	131	13	and	and	CCONJ
fet-26529	131	14	the	the	DET
fet-26529	131	15	software	software	NOUN
fet-26529	131	16	is	be	AUX
fet-26529	131	17	matlab	matlab	PROPN
fet-26529	131	18	2021b	2021b	NUM
fet-26529	131	19	.	.	PUNCT
fet-26529	132	1	the	the	DET
fet-26529	132	2	learning	learning	NOUN
fet-26529	132	3	models	model	NOUN
fet-26529	132	4	in	in	ADP
fet-26529	132	5	this	this	DET
fet-26529	132	6	research	research	NOUN
fet-26529	132	7	are	be	AUX
fet-26529	132	8	based	base	VERB
fet-26529	132	9	on	on	ADP
fet-26529	132	10	the	the	DET
fet-26529	132	11	deep	deep	ADJ
fet-26529	132	12	learning	learning	NOUN
fet-26529	132	13	toolbox	toolbox	NOUN
fet-26529	132	14	,	,	PUNCT
fet-26529	132	15	the	the	DET
fet-26529	132	16	deep	deep	ADJ
fet-26529	132	17	learning	learning	NOUN
fet-26529	132	18	toolbox	toolbox	NOUN
fet-26529	132	19	for	for	ADP
fet-26529	132	20	googlenet	googlenet	NOUN
fet-26529	132	21	network	network	NOUN
fet-26529	132	22	(	(	PUNCT
fet-26529	132	23	version	version	NOUN
fet-26529	132	24	21.2.1	21.2.1	NUM
fet-26529	132	25	)	)	PUNCT
fet-26529	132	26	,	,	PUNCT
fet-26529	132	27	resnet-18	resnet-18	PROPN
fet-26529	132	28	network	network	NOUN
fet-26529	132	29	(	(	PUNCT
fet-26529	132	30	version	version	NOUN
fet-26529	132	31	21.2.0	21.2.0	PROPN
fet-26529	132	32	)	)	PUNCT
fet-26529	132	33	and	and	CCONJ
fet-26529	132	34	mobilenet	mobilenet	NOUN
fet-26529	132	35	-	-	PUNCT
fet-26529	132	36	v2	v2	NOUN
fet-26529	132	37	network	network	NOUN
fet-26529	132	38	(	(	PUNCT
fet-26529	132	39	version	version	NOUN
fet-26529	132	40	21.2.0	21.2.0	NOUN
fet-26529	132	41	)	)	PUNCT
fet-26529	132	42	frameworks	framework	NOUN
fet-26529	132	43	.	.	PUNCT
fet-26529	133	1	all	all	DET
fet-26529	133	2	these	these	DET
fet-26529	133	3	models	model	NOUN
fet-26529	133	4	were	be	AUX
fet-26529	133	5	trained	train	VERB
fet-26529	133	6	preliminarily	preliminarily	ADV
fet-26529	133	7	on	on	ADP
fet-26529	133	8	imagenet	imagenet	NOUN
fet-26529	133	9	.	.	PUNCT
fet-26529	134	1	the	the	DET
fet-26529	134	2	dataset	dataset	NOUN
fet-26529	134	3	in	in	ADP
fet-26529	134	4	our	our	PRON
fet-26529	134	5	paper	paper	NOUN
fet-26529	134	6	consists	consist	VERB
fet-26529	134	7	of	of	ADP
fet-26529	134	8	1510	1510	NUM
fet-26529	134	9	actual	actual	ADJ
fet-26529	134	10	laboratory	laboratory	NOUN
fet-26529	134	11	fire	fire	NOUN
fet-26529	134	12	and	and	CCONJ
fet-26529	134	13	non	non	ADJ
fet-26529	134	14	-	-	ADJ
fet-26529	134	15	fire	fire	ADJ
fet-26529	134	16	images	image	NOUN
fet-26529	134	17	sourced	source	VERB
fet-26529	134	18	with	with	ADP
fet-26529	134	19	noise	noise	NOUN
fet-26529	134	20	from	from	ADP
fet-26529	134	21	the	the	DET
fet-26529	134	22	internet	internet	NOUN
fet-26529	134	23	.	.	PUNCT
fet-26529	135	1	wherein	wherein	ADJ
fet-26529	135	2	,	,	PUNCT
fet-26529	135	3	755	755	NUM
fet-26529	135	4	images	image	NOUN
fet-26529	135	5	are	be	AUX
fet-26529	135	6	related	relate	VERB
fet-26529	135	7	to	to	ADP
fet-26529	135	8	fires	fire	NOUN
fet-26529	135	9	,	,	PUNCT
fet-26529	135	10	while	while	SCONJ
fet-26529	135	11	the	the	DET
fet-26529	135	12	others	other	NOUN
fet-26529	135	13	non	non	ADJ
fet-26529	135	14	-	-	NOUN
fet-26529	135	15	fires	fire	NOUN
fet-26529	135	16	.	.	PUNCT
fet-26529	136	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	136	2	frontiers	frontier	NOUN
fet-26529	136	3	in	in	ADP
fet-26529	136	4	education	education	NOUN
fet-26529	136	5	technology	technology	NOUN
fet-26529	136	6	vol	vol	NOUN
fet-26529	136	7	.	.	PROPN
fet-26529	137	1	6	6	NUM
fet-26529	137	2	,	,	PUNCT
fet-26529	137	3	no	no	INTJ
fet-26529	137	4	.	.	NOUN
fet-26529	137	5	2	2	NUM
fet-26529	137	6	,	,	PUNCT
fet-26529	137	7	2023	2023	NUM
fet-26529	137	8	150	150	NUM
fet-26529	137	9	published	publish	VERB
fet-26529	137	10	by	by	ADP
fet-26529	137	11	scholink	scholink	PROPN
fet-26529	137	12	inc	inc	PROPN
fet-26529	137	13	.	.	PROPN
fet-26529	137	14	3.2	3.2	NUM
fet-26529	137	15	data	datum	NOUN
fet-26529	137	16	preprocessing	preprocessing	NOUN
fet-26529	137	17	in	in	ADP
fet-26529	137	18	real	real	ADJ
fet-26529	137	19	-	-	PUNCT
fet-26529	137	20	world	world	NOUN
fet-26529	137	21	scenarios	scenario	NOUN
fet-26529	137	22	,	,	PUNCT
fet-26529	137	23	image	image	NOUN
fet-26529	137	24	acquisition	acquisition	NOUN
fet-26529	137	25	devices	device	NOUN
fet-26529	137	26	often	often	ADV
fet-26529	137	27	capture	capture	VERB
fet-26529	137	28	images	image	NOUN
fet-26529	137	29	with	with	ADP
fet-26529	137	30	random	random	ADJ
fet-26529	137	31	noise	noise	NOUN
fet-26529	137	32	due	due	ADP
fet-26529	137	33	to	to	ADP
fet-26529	137	34	non	non	ADJ
fet-26529	137	35	-	-	ADJ
fet-26529	137	36	ideal	ideal	ADJ
fet-26529	137	37	environmental	environmental	ADJ
fet-26529	137	38	factors	factor	NOUN
fet-26529	137	39	such	such	ADJ
fet-26529	137	40	as	as	ADP
fet-26529	137	41	lighting	lighting	NOUN
fet-26529	137	42	and	and	CCONJ
fet-26529	137	43	temperature	temperature	NOUN
fet-26529	137	44	.	.	PUNCT
fet-26529	138	1	this	this	DET
fet-26529	138	2	noise	noise	NOUN
fet-26529	138	3	can	can	AUX
fet-26529	138	4	impact	impact	VERB
fet-26529	138	5	image	image	NOUN
fet-26529	138	6	pixels	pixel	NOUN
fet-26529	138	7	while	while	SCONJ
fet-26529	138	8	affecting	affect	VERB
fet-26529	138	9	image	image	NOUN
fet-26529	138	10	quality	quality	NOUN
fet-26529	138	11	and	and	CCONJ
fet-26529	138	12	even	even	ADV
fet-26529	138	13	making	make	VERB
fet-26529	138	14	it	it	PRON
fet-26529	138	15	difficult	difficult	ADJ
fet-26529	138	16	to	to	PART
fet-26529	138	17	distinguish	distinguish	VERB
fet-26529	138	18	the	the	DET
fet-26529	138	19	image	image	NOUN
fet-26529	138	20	.	.	PUNCT
fet-26529	139	1	therefore	therefore	ADV
fet-26529	139	2	,	,	PUNCT
fet-26529	139	3	denoising	denoise	VERB
fet-26529	139	4	the	the	DET
fet-26529	139	5	images	image	NOUN
fet-26529	139	6	is	be	AUX
fet-26529	139	7	a	a	DET
fet-26529	139	8	crucial	crucial	ADJ
fet-26529	139	9	first	first	ADJ
fet-26529	139	10	step	step	NOUN
fet-26529	139	11	.	.	PUNCT
fet-26529	140	1	additionally	additionally	ADV
fet-26529	140	2	,	,	PUNCT
fet-26529	140	3	since	since	SCONJ
fet-26529	140	4	the	the	DET
fet-26529	140	5	input	input	NOUN
fet-26529	140	6	layer	layer	NOUN
fet-26529	140	7	size	size	NOUN
fet-26529	140	8	in	in	ADP
fet-26529	140	9	cnn	cnn	PROPN
fet-26529	140	10	models	model	NOUN
fet-26529	140	11	often	often	ADV
fet-26529	140	12	differs	differ	VERB
fet-26529	140	13	from	from	ADP
fet-26529	140	14	the	the	DET
fet-26529	140	15	original	original	ADJ
fet-26529	140	16	image	image	NOUN
fet-26529	140	17	size	size	NOUN
fet-26529	140	18	,	,	PUNCT
fet-26529	140	19	it	it	PRON
fet-26529	140	20	is	be	AUX
fet-26529	140	21	necessary	necessary	ADJ
fet-26529	140	22	to	to	PART
fet-26529	140	23	perform	perform	VERB
fet-26529	140	24	an	an	DET
fet-26529	140	25	affine	affine	NOUN
fet-26529	140	26	transformation	transformation	NOUN
fet-26529	140	27	to	to	PART
fet-26529	140	28	adjust	adjust	VERB
fet-26529	140	29	its	its	PRON
fet-26529	140	30	size	size	NOUN
fet-26529	140	31	,	,	PUNCT
fet-26529	140	32	which	which	PRON
fet-26529	140	33	is	be	AUX
fet-26529	140	34	necessary	necessary	ADJ
fet-26529	140	35	before	before	ADP
fet-26529	140	36	proceeding	proceed	VERB
fet-26529	140	37	with	with	ADP
fet-26529	140	38	subsequent	subsequent	ADJ
fet-26529	140	39	model	model	NOUN
fet-26529	140	40	training	training	NOUN
fet-26529	140	41	.	.	PUNCT
fet-26529	141	1	3.3	3.3	NUM
fet-26529	141	2	gaussian	gaussian	ADJ
fet-26529	141	3	filtering	filtering	NOUN
fet-26529	141	4	denoising	denoise	VERB
fet-26529	141	5	gaussian	gaussian	ADJ
fet-26529	141	6	filter	filter	NOUN
fet-26529	141	7	denoising	denoising	NOUN
fet-26529	141	8	refers	refer	VERB
fet-26529	141	9	to	to	ADP
fet-26529	141	10	using	use	VERB
fet-26529	141	11	gaussian	gaussian	ADJ
fet-26529	141	12	kernels	kernel	NOUN
fet-26529	141	13	for	for	ADP
fet-26529	141	14	image	image	NOUN
fet-26529	141	15	spatial	spatial	ADJ
fet-26529	141	16	filtering	filtering	NOUN
fet-26529	141	17	,	,	PUNCT
fet-26529	141	18	which	which	PRON
fet-26529	141	19	applies	apply	VERB
fet-26529	141	20	a	a	DET
fet-26529	141	21	weighted	weighted	ADJ
fet-26529	141	22	average	average	NOUN
fet-26529	141	23	to	to	ADP
fet-26529	141	24	the	the	DET
fet-26529	141	25	noise	noise	NOUN
fet-26529	141	26	of	of	ADP
fet-26529	141	27	surrounding	surround	VERB
fet-26529	141	28	pixels	pixel	NOUN
fet-26529	141	29	and	and	CCONJ
fet-26529	141	30	reduces	reduce	VERB
fet-26529	141	31	the	the	DET
fet-26529	141	32	impact	impact	NOUN
fet-26529	141	33	.	.	PUNCT
fet-26529	142	1	equation	equation	NOUN
fet-26529	142	2	(	(	PUNCT
fet-26529	142	3	4	4	X
fet-26529	142	4	)	)	PUNCT
fet-26529	142	5	shows	show	VERB
fet-26529	142	6	the	the	DET
fet-26529	142	7	probability	probability	NOUN
fet-26529	142	8	density	density	NOUN
fet-26529	142	9	function	function	NOUN
fet-26529	142	10			NOUN
fet-26529	142	11	,g	,g	PUNCT
fet-26529	142	12	x	x	PUNCT
fet-26529	142	13	y	y	NOUN
fet-26529	142	14	of	of	ADP
fet-26529	142	15	a	a	DET
fet-26529	142	16	two	two	NUM
fet-26529	142	17	-	-	PUNCT
fet-26529	142	18	dimensional	dimensional	ADJ
fet-26529	142	19	gaussian	gaussian	ADJ
fet-26529	142	20	distribution	distribution	NOUN
fet-26529	142	21	with	with	ADP
fet-26529	142	22	a	a	DET
fet-26529	142	23	mean	mean	NOUN
fet-26529	142	24	of	of	ADP
fet-26529	142	25	zero	zero	NUM
fet-26529	142	26	,	,	PUNCT
fet-26529	142	27	where	where	SCONJ
fet-26529	142	28	2	2	NUM
fet-26529	142	29	represents	represent	VERB
fet-26529	142	30	the	the	DET
fet-26529	142	31	variance	variance	NOUN
fet-26529	142	32	.	.	PUNCT
fet-26529	143	1			NOUN
fet-26529	143	2			PUNCT
fet-26529	143	3			NOUN
fet-26529	143	4	2	2	ADJ
fet-26529	143	5	2	2	NUM
fet-26529	143	6	2/2	2/2	NUM
fet-26529	143	7	2	2	NUM
fet-26529	143	8	,	,	PUNCT
fet-26529	143	9	/	/	SYM
fet-26529	143	10	2	2	NUM
fet-26529	143	11			PROPN
fet-26529	143	12			ADJ
fet-26529	143	13			NOUN
fet-26529	143	14			VERB
fet-26529	143	15			PROPN
fet-26529	143	16	x	x	PUNCT
fet-26529	143	17	y	y	NOUN
fet-26529	143	18	g	g	NOUN
fet-26529	143	19	x	x	SYM
fet-26529	143	20	y	y	PROPN
fet-26529	143	21	e	e	X
fet-26529	143	22	(	(	PUNCT
fet-26529	143	23	4	4	X
fet-26529	143	24	)	)	PUNCT
fet-26529	143	25	the	the	DET
fet-26529	143	26	weight	weight	NOUN
fet-26529	143	27			PROPN
fet-26529	143	28	,w	,w	X
fet-26529	143	29	i	i	PRON
fet-26529	143	30	j	j	PROPN
fet-26529	143	31	of	of	ADP
fet-26529	143	32	gaussian	gaussian	ADJ
fet-26529	143	33	filtering	filtering	NOUN
fet-26529	143	34	is	be	AUX
fet-26529	143	35	similar	similar	ADJ
fet-26529	143	36	to	to	ADP
fet-26529	143	37	the	the	DET
fet-26529	143	38	expression	expression	NOUN
fet-26529	143	39	of	of	ADP
fet-26529	143	40			NOUN
fet-26529	143	41	,g	,g	NOUN
fet-26529	143	42	x	x	VERB
fet-26529	143	43	y	y	NOUN
fet-26529	143	44	but	but	CCONJ
fet-26529	143	45	needs	need	VERB
fet-26529	143	46	to	to	PART
fet-26529	143	47	be	be	AUX
fet-26529	143	48	normalized	normalize	VERB
fet-26529	143	49	.	.	PUNCT
fet-26529	144	1	the	the	DET
fet-26529	144	2	gaussian	gaussian	ADJ
fet-26529	144	3	kernel	kernel	PROPN
fet-26529	144	4	weight	weight	PROPN
fet-26529	144	5			PROPN
fet-26529	144	6	,w	,w	X
fet-26529	145	1	i	i	PRON
fet-26529	145	2	j	j	PROPN
fet-26529	145	3	of	of	ADP
fet-26529	145	4	size	size	NOUN
fet-26529	145	5			NOUN
fet-26529	145	6			SYM
fet-26529	145	7			NOUN
fet-26529	145	8	2	2	ADJ
fet-26529	145	9	1	1	NUM
fet-26529	145	10	*	*	SYM
fet-26529	145	11	2	2	NUM
fet-26529	145	12	1	1	NUM
fet-26529	145	13	n	n	NOUN
fet-26529	145	14	n	n	X
fet-26529	145	15	is	be	AUX
fet-26529	145	16	shown	show	VERB
fet-26529	145	17	in	in	ADP
fet-26529	145	18	equation	equation	NOUN
fet-26529	145	19	(	(	PUNCT
fet-26529	145	20	5	5	NUM
fet-26529	145	21	)	)	PUNCT
fet-26529	145	22	.	.	PUNCT
fet-26529	146	1			ADJ
fet-26529	146	2			ADP
fet-26529	146	3			NOUN
fet-26529	146	4			SYM
fet-26529	146	5			NOUN
fet-26529	146	6			SYM
fet-26529	146	7			NOUN
fet-26529	146	8			PUNCT
fet-26529	146	9			NOUN
fet-26529	146	10			NOUN
fet-26529	146	11	2	2	NUM
fet-26529	146	12	2	2	NUM
fet-26529	146	13	2	2	NUM
fet-26529	146	14	2	2	NUM
fet-26529	146	15	2	2	NUM
fet-26529	146	16	2	2	NUM
fet-26529	146	17	22	22	NUM
fet-26529	146	18	2	2	NUM
fet-26529	146	19	2	2	NUM
fet-26529	146	20	22	22	NUM
fet-26529	146	21	0	0	NUM
fet-26529	146	22	0	0	NUM
fet-26529	146	23	/	/	SYM
fet-26529	146	24	2	2	NUM
fet-26529	146	25	,	,	PUNCT
fet-26529	146	26	/	/	SYM
fet-26529	146	27	2	2	NUM
fet-26529	146	28			NOUN
fet-26529	146	29			PRON
fet-26529	146	30			ADJ
fet-26529	146	31			ADJ
fet-26529	146	32			PROPN
fet-26529	146	33			VERB
fet-26529	146	34			PROPN
fet-26529	146	35			PROPN
fet-26529	146	36			PROPN
fet-26529	146	37			PUNCT
fet-26529	146	38			PROPN
fet-26529	146	39			PROPN
fet-26529	146	40			PROPN
fet-26529	146	41			ADJ
fet-26529	147	1			NOUN
fet-26529	148	1			INTJ
fet-26529	148	2	i	i	PRON
fet-26529	148	3	n	n	VERB
fet-26529	148	4	j	j	PROPN
fet-26529	148	5	n	n	CCONJ
fet-26529	148	6	i	i	PRON
fet-26529	148	7	n	n	PROPN
fet-26529	148	8	j	j	PROPN
fet-26529	148	9	nn	nn	PROPN
fet-26529	148	10	n	n	PROPN
fet-26529	149	1	i	i	PRON
fet-26529	149	2	i	i	INTJ
fet-26529	149	3	e	e	VERB
fet-26529	150	1	w	w	VERB
fet-26529	150	2	i	i	INTJ
fet-26529	150	3	j	j	PROPN
fet-26529	150	4	e	e	X
fet-26529	150	5	(	(	PUNCT
fet-26529	150	6	5	5	X
fet-26529	150	7	)	)	PUNCT
fet-26529	150	8	it	it	PRON
fet-26529	150	9	can	can	AUX
fet-26529	150	10	be	be	AUX
fet-26529	150	11	observed	observe	VERB
fet-26529	150	12	that	that	SCONJ
fet-26529	150	13	the	the	DET
fet-26529	150	14	weight	weight	NOUN
fet-26529	150	15	value	value	NOUN
fet-26529	150	16	is	be	AUX
fet-26529	150	17	solely	solely	ADV
fet-26529	150	18	determined	determine	VERB
fet-26529	150	19	by	by	ADP
fet-26529	150	20	the	the	DET
fet-26529	150	21	standard	standard	ADJ
fet-26529	150	22	deviation	deviation	NOUN
fet-26529	150	23			PROPN
fet-26529	150	24	.	.	PUNCT
fet-26529	151	1	since	since	SCONJ
fet-26529	151	2	the	the	DET
fet-26529	151	3	weight	weight	NOUN
fet-26529	151	4	decreases	decrease	VERB
fet-26529	151	5	as	as	ADP
fet-26529	151	6	one	one	NUM
fet-26529	151	7	moves	move	NOUN
fet-26529	151	8	farther	far	ADV
fet-26529	151	9	from	from	ADP
fet-26529	151	10	the	the	DET
fet-26529	151	11	center	center	NOUN
fet-26529	151	12	,	,	PUNCT
fet-26529	151	13	a	a	DET
fet-26529	151	14			NOUN
fet-26529	151	15			SYM
fet-26529	151	16			NOUN
fet-26529	152	1	2	2	ADJ
fet-26529	152	2	1	1	NUM
fet-26529	152	3	*	*	SYM
fet-26529	152	4	2	2	NUM
fet-26529	152	5	1n	1n	NUM
fet-26529	152	6	n	n	NUM
fet-26529	152	7			PUNCT
fet-26529	152	8	size	size	NOUN
fet-26529	152	9	filter	filter	NOUN
fet-26529	152	10	is	be	AUX
fet-26529	152	11	typically	typically	ADV
fet-26529	152	12	used	use	VERB
fet-26529	152	13	where	where	SCONJ
fet-26529	152	14			X
fet-26529	152	15			X
fet-26529	152	16			PROPN
fet-26529	152	17	denotes	denote	VERB
fet-26529	152	18	the	the	DET
fet-26529	152	19	round	round	NOUN
fet-26529	152	20	function	function	NOUN
fet-26529	152	21	and	and	CCONJ
fet-26529	152	22	usually	usually	ADV
fet-26529	152	23	2n	2n	NUM
fet-26529	152	24			PROPN
fet-26529	152	25			PROPN
fet-26529	152	26			NOUN
fet-26529	152	27			PROPN
fet-26529	152	28	.	.	PUNCT
fet-26529	153	1	in	in	ADP
fet-26529	153	2	contrast	contrast	NOUN
fet-26529	153	3	to	to	PART
fet-26529	153	4	mean	mean	VERB
fet-26529	153	5	filtering	filtering	NOUN
fet-26529	153	6	which	which	PRON
fet-26529	153	7	assigns	assign	VERB
fet-26529	153	8	equal	equal	ADJ
fet-26529	153	9	weight	weight	NOUN
fet-26529	153	10	to	to	ADP
fet-26529	153	11	each	each	DET
fet-26529	153	12	pixel	pixel	NOUN
fet-26529	153	13	,	,	PUNCT
fet-26529	153	14	gaussian	gaussian	ADJ
fet-26529	153	15	filtering	filtering	NOUN
fet-26529	153	16	results	result	NOUN
fet-26529	153	17	in	in	ADP
fet-26529	153	18	a	a	DET
fet-26529	153	19	smoother	smooth	ADJ
fet-26529	153	20	and	and	CCONJ
fet-26529	153	21	softer	soft	ADJ
fet-26529	153	22	filtered	filter	VERB
fet-26529	153	23	image	image	NOUN
fet-26529	153	24	,	,	PUNCT
fet-26529	153	25	which	which	PRON
fet-26529	153	26	better	well	ADV
fet-26529	153	27	preserves	preserve	VERB
fet-26529	153	28	edge	edge	NOUN
fet-26529	153	29	features	feature	NOUN
fet-26529	153	30	.	.	PUNCT
fet-26529	154	1	the	the	DET
fet-26529	154	2	peak	peak	NOUN
fet-26529	154	3	signal	signal	NOUN
fet-26529	154	4	-	-	PUNCT
fet-26529	154	5	to	to	ADP
fet-26529	154	6	-	-	PUNCT
fet-26529	154	7	noise	noise	NOUN
fet-26529	154	8	ratio	ratio	NOUN
fet-26529	154	9	(	(	PUNCT
fet-26529	154	10	psnr	psnr	NOUN
fet-26529	154	11	)	)	PUNCT
fet-26529	154	12	is	be	AUX
fet-26529	154	13	a	a	DET
fet-26529	154	14	widely	widely	ADV
fet-26529	154	15	utilized	utilize	VERB
fet-26529	154	16	method	method	NOUN
fet-26529	154	17	to	to	PART
fet-26529	154	18	assess	assess	VERB
fet-26529	154	19	image	image	NOUN
fet-26529	154	20	quality	quality	NOUN
fet-26529	154	21	.	.	PUNCT
fet-26529	155	1	in	in	ADP
fet-26529	155	2	this	this	DET
fet-26529	155	3	paper	paper	NOUN
fet-26529	155	4	,	,	PUNCT
fet-26529	155	5	a	a	DET
fet-26529	155	6	5x5	5x5	NUM
fet-26529	155	7	gaussian	gaussian	ADJ
fet-26529	155	8	filter	filter	NOUN
fet-26529	155	9	with	with	ADP
fet-26529	155	10	1	1	NUM
fet-26529	155	11			NUM
fet-26529	155	12	was	be	AUX
fet-26529	155	13	employed	employ	VERB
fet-26529	155	14	.	.	PUNCT
fet-26529	156	1	figure	figure	NOUN
fet-26529	156	2	8	8	NUM
fet-26529	156	3	shows	show	VERB
fet-26529	156	4	raw	raw	ADJ
fet-26529	156	5	and	and	CCONJ
fet-26529	156	6	processed	process	VERB
fet-26529	156	7	images	image	NOUN
fet-26529	156	8	along	along	ADP
fet-26529	156	9	with	with	ADP
fet-26529	156	10	their	their	PRON
fet-26529	156	11	respective	respective	ADJ
fet-26529	156	12	psnr	psnr	NOUN
fet-26529	156	13	values	value	NOUN
fet-26529	156	14	.	.	PUNCT
fet-26529	157	1	from	from	ADP
fet-26529	157	2	both	both	CCONJ
fet-26529	157	3	subjective	subjective	ADJ
fet-26529	157	4	and	and	CCONJ
fet-26529	157	5	objective	objective	ADJ
fet-26529	157	6	perspectives	perspective	NOUN
fet-26529	157	7	of	of	ADP
fet-26529	157	8	evaluations	evaluation	NOUN
fet-26529	157	9	,	,	PUNCT
fet-26529	157	10	the	the	DET
fet-26529	157	11	image	image	NOUN
fet-26529	157	12	quality	quality	NOUN
fet-26529	157	13	experienced	experience	VERB
fet-26529	157	14	significant	significant	ADJ
fet-26529	157	15	enhancements	enhancement	NOUN
fet-26529	157	16	following	follow	VERB
fet-26529	157	17	gaussian	gaussian	ADJ
fet-26529	157	18	denoising	denoising	NOUN
fet-26529	157	19	.	.	PUNCT
fet-26529	158	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	158	2	frontiers	frontier	NOUN
fet-26529	158	3	in	in	ADP
fet-26529	158	4	education	education	NOUN
fet-26529	158	5	technology	technology	NOUN
fet-26529	158	6	vol	vol	NOUN
fet-26529	158	7	.	.	PROPN
fet-26529	159	1	6	6	NUM
fet-26529	159	2	,	,	PUNCT
fet-26529	159	3	no	no	INTJ
fet-26529	159	4	.	.	NOUN
fet-26529	159	5	2	2	NUM
fet-26529	159	6	,	,	PUNCT
fet-26529	159	7	2023	2023	NUM
fet-26529	159	8	151	151	NUM
fet-26529	159	9	published	publish	VERB
fet-26529	159	10	by	by	ADP
fet-26529	159	11	scholink	scholink	PROPN
fet-26529	159	12	inc	inc	PROPN
fet-26529	159	13	.	.	PROPN
fet-26529	159	14	images	image	NOUN
fet-26529	159	15	with	with	ADP
fet-26529	159	16	noise	noise	NOUN
fet-26529	159	17	（	（	SYM
fet-26529	159	18	psnr=20.1db	psnr=20.1db	PROPN
fet-26529	159	19	）	）	NOUN
fet-26529	159	20	images	image	NOUN
fet-26529	159	21	after	after	ADP
fet-26529	159	22	denoising	denoise	VERB
fet-26529	159	23	（	（	SYM
fet-26529	159	24	psnr=26.4db	psnr=26.4db	X
fet-26529	159	25	）	）	NOUN
fet-26529	159	26	figure	figure	NOUN
fet-26529	159	27	8	8	NUM
fet-26529	159	28	.	.	PUNCT
fet-26529	159	29	comparison	comparison	NOUN
fet-26529	159	30	of	of	ADP
fet-26529	159	31	images	image	NOUN
fet-26529	159	32	w/	w/	NOUN
fet-26529	159	33	and	and	CCONJ
fet-26529	159	34	w/o	w/o	ADP
fet-26529	159	35	noise	noise	NOUN
fet-26529	159	36	3.3.1	3.3.1	NUM
fet-26529	159	37	bilinear	bilinear	NOUN
fet-26529	159	38	interpolation	interpolation	NOUN
fet-26529	159	39	during	during	ADP
fet-26529	159	40	affine	affine	ADJ
fet-26529	159	41	transformations	transformation	NOUN
fet-26529	159	42	,	,	PUNCT
fet-26529	159	43	such	such	ADJ
fet-26529	159	44	as	as	ADP
fet-26529	159	45	zooming	zoom	VERB
fet-26529	159	46	in	in	ADP
fet-26529	159	47	or	or	CCONJ
fet-26529	159	48	out	out	ADV
fet-26529	159	49	,	,	PUNCT
fet-26529	159	50	the	the	DET
fet-26529	159	51	coordinates	coordinate	NOUN
fet-26529	159	52	of	of	ADP
fet-26529	159	53	pixels	pixel	NOUN
fet-26529	159	54	in	in	ADP
fet-26529	159	55	the	the	DET
fet-26529	159	56	transformed	transform	VERB
fet-26529	159	57	image	image	NOUN
fet-26529	159	58	are	be	AUX
fet-26529	159	59	typically	typically	ADV
fet-26529	159	60	non	non	ADJ
fet-26529	159	61	-	-	ADJ
fet-26529	159	62	integer	integer	ADJ
fet-26529	159	63	,	,	PUNCT
fet-26529	159	64	as	as	SCONJ
fet-26529	159	65	they	they	PRON
fet-26529	159	66	are	be	AUX
fet-26529	159	67	obtained	obtain	VERB
fet-26529	159	68	by	by	ADP
fet-26529	159	69	backward	backward	ADJ
fet-26529	159	70	mapping	mapping	NOUN
fet-26529	159	71	the	the	DET
fet-26529	159	72	pixel	pixel	PROPN
fet-26529	159	73	coordinates	coordinate	NOUN
fet-26529	159	74	from	from	ADP
fet-26529	159	75	the	the	DET
fet-26529	159	76	original	original	ADJ
fet-26529	159	77	image	image	NOUN
fet-26529	159	78	.	.	PUNCT
fet-26529	160	1	for	for	ADP
fet-26529	160	2	instance	instance	NOUN
fet-26529	160	3	,	,	PUNCT
fet-26529	160	4	to	to	PART
fet-26529	160	5	scale	scale	VERB
fet-26529	160	6	down	down	ADP
fet-26529	160	7	a	a	DET
fet-26529	160	8	5x5	5x5	NUM
fet-26529	160	9	image	image	NOUN
fet-26529	160	10	with	with	ADP
fet-26529	160	11	a	a	DET
fet-26529	160	12	pixel	pixel	NOUN
fet-26529	160	13	coordinate	coordinate	NOUN
fet-26529	160	14			PROPN
fet-26529	160	15			PROPN
fet-26529	160	16	,	,	PUNCT
fet-26529	160	17	,	,	PUNCT
fet-26529	160	18	0	0	NUM
fet-26529	160	19	4,0	4,0	NUM
fet-26529	160	20	4f	4f	NUM
fet-26529	160	21	u	u	NOUN
fet-26529	160	22	v	v	ADP
fet-26529	160	23	u	u	NOUN
fet-26529	160	24	v	v	VERB
fet-26529	160	25			NOUN
fet-26529	160	26			NOUN
fet-26529	160	27			NOUN
fet-26529	160	28	to	to	ADP
fet-26529	160	29	3x3	3x3	NUM
fet-26529	160	30	.	.	PUNCT
fet-26529	161	1	the	the	DET
fet-26529	161	2	corresponding	corresponding	ADJ
fet-26529	161	3	pixel	pixel	PROPN
fet-26529	161	4	coordinate	coordinate	NOUN
fet-26529	161	5	of	of	ADP
fet-26529	161	6	[	[	X
fet-26529	161	7	1,1	1,1	NUM
fet-26529	161	8	]	]	PUNCT
fet-26529	161	9	in	in	ADP
fet-26529	161	10	the	the	DET
fet-26529	161	11	original	original	ADJ
fet-26529	161	12	image	image	NOUN
fet-26529	161	13	results	result	NOUN
fet-26529	161	14	in	in	ADP
fet-26529	161	15	a	a	DET
fet-26529	161	16	non	non	ADJ
fet-26529	161	17	-	-	ADJ
fet-26529	161	18	integer	integer	ADJ
fet-26529	161	19	coordinate	coordinate	NOUN
fet-26529	161	20	.	.	PUNCT
fet-26529	162	1	rounding	round	VERB
fet-26529	162	2	fractional	fractional	ADJ
fet-26529	162	3	values	value	NOUN
fet-26529	162	4	,	,	PUNCT
fet-26529	162	5	also	also	ADV
fet-26529	162	6	known	know	VERB
fet-26529	162	7	as	as	ADP
fet-26529	162	8	nearest	nearest	ADJ
fet-26529	162	9	-	-	PUNCT
fet-26529	162	10	neighbor	neighbor	NOUN
fet-26529	162	11	interpolation	interpolation	NOUN
fet-26529	162	12	,	,	PUNCT
fet-26529	162	13	is	be	AUX
fet-26529	162	14	the	the	DET
fet-26529	162	15	most	most	ADV
fet-26529	162	16	common	common	ADJ
fet-26529	162	17	method	method	NOUN
fet-26529	162	18	to	to	PART
fet-26529	162	19	tackle	tackle	VERB
fet-26529	162	20	the	the	DET
fet-26529	162	21	aforementioned	aforementioned	ADJ
fet-26529	162	22	challenges	challenge	NOUN
fet-26529	162	23	.	.	PUNCT
fet-26529	163	1	however	however	ADV
fet-26529	163	2	,	,	PUNCT
fet-26529	163	3	it	it	PRON
fet-26529	163	4	may	may	AUX
fet-26529	163	5	substantially	substantially	ADV
fet-26529	163	6	alter	alter	VERB
fet-26529	163	7	the	the	DET
fet-26529	163	8	original	original	ADJ
fet-26529	163	9	image	image	NOUN
fet-26529	163	10	by	by	ADP
fet-26529	163	11	distorting	distort	VERB
fet-26529	163	12	vital	vital	ADJ
fet-26529	163	13	information	information	NOUN
fet-26529	163	14	.	.	PUNCT
fet-26529	164	1	bilinear	bilinear	ADJ
fet-26529	164	2	interpolation	interpolation	NOUN
fet-26529	164	3	is	be	AUX
fet-26529	164	4	a	a	DET
fet-26529	164	5	type	type	NOUN
fet-26529	164	6	of	of	ADP
fet-26529	164	7	image	image	NOUN
fet-26529	164	8	affine	affine	NOUN
fet-26529	164	9	transformation	transformation	NOUN
fet-26529	164	10	that	that	PRON
fet-26529	164	11	utilizes	utilize	VERB
fet-26529	164	12	adjacent	adjacent	ADJ
fet-26529	164	13	four	four	NUM
fet-26529	164	14	pixel	pixel	PROPN
fet-26529	164	15	points	point	NOUN
fet-26529	164	16	on	on	ADP
fet-26529	164	17	the	the	DET
fet-26529	164	18	two	two	NUM
fet-26529	164	19	-	-	PUNCT
fet-26529	164	20	dimensional	dimensional	ADJ
fet-26529	164	21	image	image	NOUN
fet-26529	164	22	to	to	PART
fet-26529	164	23	determine	determine	VERB
fet-26529	164	24	the	the	DET
fet-26529	164	25	value	value	NOUN
fet-26529	164	26	of	of	ADP
fet-26529	164	27	transformed	transform	VERB
fet-26529	164	28	pixels	pixel	NOUN
fet-26529	164	29	.	.	PUNCT
fet-26529	165	1	bilinear	bilinear	NOUN
fet-26529	165	2	interpolation	interpolation	NOUN
fet-26529	165	3	attempts	attempt	NOUN
fet-26529	165	4	to	to	PART
fet-26529	165	5	preserve	preserve	VERB
fet-26529	165	6	image	image	NOUN
fet-26529	165	7	characteristics	characteristic	NOUN
fet-26529	165	8	as	as	ADV
fet-26529	165	9	much	much	ADV
fet-26529	165	10	as	as	ADP
fet-26529	165	11	possible	possible	ADJ
fet-26529	165	12	.	.	PUNCT
fet-26529	166	1	assuming	assume	VERB
fet-26529	166	2	the	the	DET
fet-26529	166	3	corresponding	corresponding	ADJ
fet-26529	166	4	non	non	ADJ
fet-26529	166	5	-	-	ADJ
fet-26529	166	6	integer	integer	ADJ
fet-26529	166	7	coordinates	coordinate	NOUN
fet-26529	166	8	in	in	ADP
fet-26529	166	9	the	the	DET
fet-26529	166	10	original	original	ADJ
fet-26529	166	11	image	image	NOUN
fet-26529	166	12	is	be	AUX
fet-26529	166	13			ADJ
fet-26529	166	14	,u	,u	ADP
fet-26529	166	15	v	v	X
fet-26529	166	16	,	,	PUNCT
fet-26529	166	17	the	the	DET
fet-26529	166	18	value	value	NOUN
fet-26529	166	19	after	after	SCONJ
fet-26529	166	20	bilinear	bilinear	NOUN
fet-26529	166	21	interpolation	interpolation	NOUN
fet-26529	166	22	is	be	AUX
fet-26529	166	23	shown	show	VERB
fet-26529	166	24	in	in	ADP
fet-26529	166	25	equation	equation	NOUN
fet-26529	166	26	(	(	PUNCT
fet-26529	166	27	6	6	NUM
fet-26529	166	28	)	)	PUNCT
fet-26529	166	29	.	.	PUNCT
fet-26529	167	1			ADJ
fet-26529	167	2	ˆ	ˆ	NOUN
fet-26529	167	3	,	,	PUNCT
fet-26529	167	4	(	(	PUNCT
fet-26529	167	5	1)((1	1)((1	X
fet-26529	167	6	)	)	PUNCT
fet-26529	167	7	[	[	PUNCT
fet-26529	167	8	,	,	PUNCT
fet-26529	167	9	]	]	X
fet-26529	167	10	[	[	PUNCT
fet-26529	167	11	1	1	NUM
fet-26529	167	12	,	,	PUNCT
fet-26529	167	13	]	]	PUNCT
fet-26529	167	14	)	)	PUNCT
fet-26529	167	15	(	(	PUNCT
fet-26529	167	16	(	(	PUNCT
fet-26529	167	17	1	1	X
fet-26529	167	18	)	)	PUNCT
fet-26529	167	19	[	[	PUNCT
fet-26529	167	20	,	,	PUNCT
fet-26529	167	21	1	1	X
fet-26529	167	22	]	]	PUNCT
fet-26529	167	23	[	[	PUNCT
fet-26529	167	24	1	1	NUM
fet-26529	167	25	,	,	PUNCT
fet-26529	167	26	1])	1])	PROPN
fet-26529	167	27			ADV
fet-26529	167	28			ADV
fet-26529	167	29			PROPN
fet-26529	167	30			PROPN
fet-26529	167	31			PUNCT
fet-26529	167	32			PUNCT
fet-26529	167	33	f	f	PROPN
fet-26529	167	34	i	i	PRON
fet-26529	167	35	j	j	PROPN
fet-26529	168	1	b	b	PROPN
fet-26529	168	2	a	a	PRON
fet-26529	168	3	f	f	X
fet-26529	169	1	i	i	PRON
fet-26529	169	2	j	j	PROPN
fet-26529	169	3	af	af	VERB
fet-26529	169	4	i	i	INTJ
fet-26529	169	5	j	j	PROPN
fet-26529	170	1	b	b	PROPN
fet-26529	170	2	a	a	PRON
fet-26529	170	3	f	f	X
fet-26529	171	1	i	i	PRON
fet-26529	171	2	j	j	PROPN
fet-26529	171	3	af	af	VERB
fet-26529	171	4	i	i	PRON
fet-26529	171	5	j	j	PROPN
fet-26529	171	6	(	(	PUNCT
fet-26529	171	7	6	6	NUM
fet-26529	171	8	)	)	PUNCT
fet-26529	171	9	where	where	SCONJ
fet-26529	171	10			ADJ
fet-26529	171	11	,i	,i	PROPN
fet-26529	171	12	j	j	PROPN
fet-26529	171	13	,	,	PUNCT
fet-26529	171	14			PROPN
fet-26529	171	15	1,i	1,i	PUNCT
fet-26529	171	16	j	j	PROPN
fet-26529	171	17	,	,	PUNCT
fet-26529	171	18			PROPN
fet-26529	171	19			PROPN
fet-26529	171	20	,	,	PUNCT
fet-26529	171	21	1i	1i	NUM
fet-26529	171	22	j	j	NOUN
fet-26529	171	23	,	,	PUNCT
fet-26529	171	24	and	and	CCONJ
fet-26529	171	25			PROPN
fet-26529	171	26	1	1	NOUN
fet-26529	171	27	,	,	PUNCT
fet-26529	171	28	1	1	NUM
fet-26529	172	1	i	i	PROPN
fet-26529	172	2	j	j	PROPN
fet-26529	172	3	are	be	AUX
fet-26529	172	4	four	four	NUM
fet-26529	172	5	adjacent	adjacent	ADJ
fet-26529	172	6	pixel	pixel	ADJ
fet-26529	172	7	points	point	NOUN
fet-26529	172	8	of	of	ADP
fet-26529	172	9			ADJ
fet-26529	172	10	,u	,u	X
fet-26529	172	11	v	v	NOUN
fet-26529	172	12	,	,	PUNCT
fet-26529	172	13	a	a	DET
fet-26529	172	14	u	u	NOUN
fet-26529	172	15	i	i	NOUN
fet-26529	172	16			NOUN
fet-26529	172	17	and	and	CCONJ
fet-26529	172	18	b	b	PROPN
fet-26529	172	19	v	v	NUM
fet-26529	172	20	j	j	PROPN
fet-26529	172	21			PROPN
fet-26529	172	22	.	.	PUNCT
fet-26529	173	1	as	as	ADP
fet-26529	173	2	the	the	DET
fet-26529	173	3	input	input	NOUN
fet-26529	173	4	layer	layer	NOUN
fet-26529	173	5	sizes	size	NOUN
fet-26529	173	6	of	of	ADP
fet-26529	173	7	googlenet	googlenet	NOUN
fet-26529	173	8	,	,	PUNCT
fet-26529	173	9	resnet	resnet	NOUN
fet-26529	173	10	,	,	PUNCT
fet-26529	173	11	and	and	CCONJ
fet-26529	173	12	mobilenet	mobilenet	NOUN
fet-26529	173	13	are	be	AUX
fet-26529	173	14	224x224x3	224x224x3	NUM
fet-26529	173	15	images	image	NOUN
fet-26529	173	16	,	,	PUNCT
fet-26529	173	17	this	this	DET
fet-26529	173	18	paper	paper	NOUN
fet-26529	173	19	utilizes	utilize	VERB
fet-26529	173	20	bilinear	bilinear	NOUN
fet-26529	173	21	interpolation	interpolation	NOUN
fet-26529	173	22	to	to	PART
fet-26529	173	23	transform	transform	VERB
fet-26529	173	24	all	all	DET
fet-26529	173	25	laboratory	laboratory	NOUN
fet-26529	173	26	fire	fire	NOUN
fet-26529	173	27	and	and	CCONJ
fet-26529	173	28	non	non	ADJ
fet-26529	173	29	-	-	ADJ
fet-26529	173	30	fire	fire	ADJ
fet-26529	173	31	images	image	NOUN
fet-26529	173	32	to	to	PART
fet-26529	173	33	adapt	adapt	VERB
fet-26529	173	34	to	to	ADP
fet-26529	173	35	the	the	DET
fet-26529	173	36	above	above	ADJ
fet-26529	173	37	dimensions	dimension	NOUN
fet-26529	173	38	.	.	PUNCT
fet-26529	174	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	174	2	frontiers	frontier	NOUN
fet-26529	174	3	in	in	ADP
fet-26529	174	4	education	education	NOUN
fet-26529	174	5	technology	technology	NOUN
fet-26529	174	6	vol	vol	NOUN
fet-26529	174	7	.	.	PROPN
fet-26529	175	1	6	6	NUM
fet-26529	175	2	,	,	PUNCT
fet-26529	175	3	no	no	INTJ
fet-26529	175	4	.	.	NOUN
fet-26529	175	5	2	2	NUM
fet-26529	175	6	,	,	PUNCT
fet-26529	175	7	2023	2023	NUM
fet-26529	175	8	152	152	NUM
fet-26529	175	9	published	publish	VERB
fet-26529	175	10	by	by	ADP
fet-26529	175	11	scholink	scholink	PROPN
fet-26529	175	12	inc	inc	PROPN
fet-26529	175	13	.	.	PROPN
fet-26529	175	14	3.4	3.4	NUM
fet-26529	175	15	model	model	NOUN
fet-26529	175	16	training	training	NOUN
fet-26529	175	17	to	to	PART
fet-26529	175	18	enable	enable	VERB
fet-26529	175	19	transfer	transfer	NOUN
fet-26529	175	20	learning	learning	NOUN
fet-26529	175	21	for	for	ADP
fet-26529	175	22	laboratory	laboratory	NOUN
fet-26529	175	23	fire	fire	NOUN
fet-26529	175	24	detection	detection	NOUN
fet-26529	175	25	,	,	PUNCT
fet-26529	175	26	fine	fine	ADV
fet-26529	175	27	-	-	PUNCT
fet-26529	175	28	tuning	tune	VERB
fet-26529	175	29	googlenet	googlenet	NOUN
fet-26529	175	30	,	,	PUNCT
fet-26529	175	31	resnet	resnet	NOUN
fet-26529	175	32	,	,	PUNCT
fet-26529	175	33	and	and	CCONJ
fet-26529	175	34	mobilenet	mobilenet	NOUN
fet-26529	175	35	was	be	AUX
fet-26529	175	36	executed	execute	VERB
fet-26529	175	37	.	.	PUNCT
fet-26529	176	1	the	the	DET
fet-26529	176	2	modification	modification	NOUN
fet-26529	176	3	is	be	AUX
fet-26529	176	4	replacing	replace	VERB
fet-26529	176	5	the	the	DET
fet-26529	176	6	full	full	ADJ
fet-26529	176	7	connection	connection	NOUN
fet-26529	176	8	layer	layer	NOUN
fet-26529	176	9	and	and	CCONJ
fet-26529	176	10	softmax	softmax	NOUN
fet-26529	176	11	function	function	NOUN
fet-26529	176	12	located	locate	VERB
fet-26529	176	13	at	at	ADP
fet-26529	176	14	the	the	DET
fet-26529	176	15	neural	neural	ADJ
fet-26529	176	16	network	network	NOUN
fet-26529	176	17	’s	’s	PART
fet-26529	176	18	end	end	NOUN
fet-26529	176	19	,	,	PUNCT
fet-26529	176	20	with	with	ADP
fet-26529	176	21	a	a	DET
fet-26529	176	22	new	new	ADJ
fet-26529	176	23	full	full	ADJ
fet-26529	176	24	connection	connection	NOUN
fet-26529	176	25	layer	layer	NOUN
fet-26529	176	26	which	which	PRON
fet-26529	176	27	consists	consist	VERB
fet-26529	176	28	of	of	ADP
fet-26529	176	29	two	two	NUM
fet-26529	176	30	neurons	neuron	NOUN
fet-26529	176	31	and	and	CCONJ
fet-26529	176	32	the	the	DET
fet-26529	176	33	corresponding	corresponding	ADJ
fet-26529	176	34	softmax	softmax	NOUN
fet-26529	176	35	function	function	NOUN
fet-26529	176	36	.	.	PUNCT
fet-26529	177	1	the	the	DET
fet-26529	177	2	rest	rest	NOUN
fet-26529	177	3	of	of	ADP
fet-26529	177	4	the	the	DET
fet-26529	177	5	neural	neural	ADJ
fet-26529	177	6	network	network	NOUN
fet-26529	177	7	structure	structure	NOUN
fet-26529	177	8	remained	remain	VERB
fet-26529	177	9	the	the	DET
fet-26529	177	10	same	same	ADJ
fet-26529	177	11	.	.	PUNCT
fet-26529	178	1	the	the	DET
fet-26529	178	2	dataset	dataset	NOUN
fet-26529	178	3	was	be	AUX
fet-26529	178	4	divided	divide	VERB
fet-26529	178	5	into	into	ADP
fet-26529	178	6	training	training	NOUN
fet-26529	178	7	and	and	CCONJ
fet-26529	178	8	validation	validation	NOUN
fet-26529	178	9	sets	set	NOUN
fet-26529	178	10	,	,	PUNCT
fet-26529	178	11	where	where	SCONJ
fet-26529	178	12	the	the	DET
fet-26529	178	13	images	image	NOUN
fet-26529	178	14	in	in	ADP
fet-26529	178	15	the	the	DET
fet-26529	178	16	training	training	NOUN
fet-26529	178	17	set	set	NOUN
fet-26529	178	18	were	be	AUX
fet-26529	178	19	used	use	VERB
fet-26529	178	20	for	for	ADP
fet-26529	178	21	model	model	NOUN
fet-26529	178	22	training	training	NOUN
fet-26529	178	23	,	,	PUNCT
fet-26529	178	24	and	and	CCONJ
fet-26529	178	25	those	those	PRON
fet-26529	178	26	in	in	ADP
fet-26529	178	27	the	the	DET
fet-26529	178	28	validation	validation	NOUN
fet-26529	178	29	set	set	NOUN
fet-26529	178	30	were	be	AUX
fet-26529	178	31	utilized	utilize	VERB
fet-26529	178	32	for	for	ADP
fet-26529	178	33	evaluating	evaluate	VERB
fet-26529	178	34	model	model	NOUN
fet-26529	178	35	performance	performance	NOUN
fet-26529	178	36	during	during	ADP
fet-26529	178	37	and	and	CCONJ
fet-26529	178	38	after	after	ADP
fet-26529	178	39	training	training	NOUN
fet-26529	178	40	.	.	PUNCT
fet-26529	179	1	in	in	ADP
fet-26529	179	2	this	this	DET
fet-26529	179	3	paper	paper	NOUN
fet-26529	179	4	,	,	PUNCT
fet-26529	179	5	the	the	DET
fet-26529	179	6	training	training	NOUN
fet-26529	179	7	set	set	NOUN
fet-26529	179	8	was	be	AUX
fet-26529	179	9	randomly	randomly	ADV
fet-26529	179	10	chosen	choose	VERB
fet-26529	179	11	and	and	CCONJ
fet-26529	179	12	comprise	comprise	NOUN
fet-26529	179	13	of	of	ADP
fet-26529	179	14	80	80	NUM
fet-26529	179	15	%	%	NOUN
fet-26529	179	16	of	of	ADP
fet-26529	179	17	the	the	DET
fet-26529	179	18	labeled	label	VERB
fet-26529	179	19	(	(	PUNCT
fet-26529	179	20	fire	fire	NOUN
fet-26529	179	21	or	or	CCONJ
fet-26529	179	22	non	non	ADJ
fet-26529	179	23	-	-	ADJ
fet-26529	179	24	fire	fire	ADJ
fet-26529	179	25	)	)	PUNCT
fet-26529	179	26	images	image	NOUN
fet-26529	179	27	from	from	ADP
fet-26529	179	28	the	the	DET
fet-26529	179	29	dataset	dataset	NOUN
fet-26529	179	30	,	,	PUNCT
fet-26529	179	31	while	while	SCONJ
fet-26529	179	32	the	the	DET
fet-26529	179	33	remaining	remain	VERB
fet-26529	179	34	20	20	NUM
fet-26529	179	35	%	%	NOUN
fet-26529	179	36	formed	form	VERB
fet-26529	179	37	the	the	DET
fet-26529	179	38	validation	validation	NOUN
fet-26529	179	39	set	set	NOUN
fet-26529	179	40	.	.	PUNCT
fet-26529	180	1	the	the	DET
fet-26529	180	2	cross	cross	PROPN
fet-26529	180	3	entropy	entropy	PROPN
fet-26529	180	4	loss	loss	NOUN
fet-26529	180	5	function	function	NOUN
fet-26529	180	6	was	be	AUX
fet-26529	180	7	used	use	VERB
fet-26529	180	8	for	for	ADP
fet-26529	180	9	all	all	DET
fet-26529	180	10	models	model	NOUN
fet-26529	180	11	.	.	PUNCT
fet-26529	181	1	continuous	continuous	ADJ
fet-26529	181	2	training	training	NOUN
fet-26529	181	3	was	be	AUX
fet-26529	181	4	applied	apply	VERB
fet-26529	181	5	to	to	PART
fet-26529	181	6	adjust	adjust	VERB
fet-26529	181	7	the	the	DET
fet-26529	181	8	model	model	NOUN
fet-26529	181	9	parameter	parameter	NOUN
fet-26529	181	10	values	value	NOUN
fet-26529	181	11	until	until	SCONJ
fet-26529	181	12	the	the	DET
fet-26529	181	13	function	function	NOUN
fet-26529	181	14	value	value	NOUN
fet-26529	181	15	approached	approach	VERB
fet-26529	181	16	zero	zero	NUM
fet-26529	181	17	.	.	PUNCT
fet-26529	182	1	for	for	ADP
fet-26529	182	2	binary	binary	ADJ
fet-26529	182	3	classification	classification	NOUN
fet-26529	182	4	,	,	PUNCT
fet-26529	182	5	the	the	DET
fet-26529	182	6	equation	equation	NOUN
fet-26529	182	7	of	of	ADP
fet-26529	182	8	the	the	DET
fet-26529	182	9	cross	cross	PROPN
fet-26529	182	10	entropy	entropy	PROPN
fet-26529	182	11	loss	loss	NOUN
fet-26529	182	12	function	function	NOUN
fet-26529	182	13	is	be	AUX
fet-26529	182	14	expressed	express	VERB
fet-26529	182	15	in	in	ADP
fet-26529	182	16	equation	equation	NOUN
fet-26529	182	17	(	(	PUNCT
fet-26529	182	18	7	7	NUM
fet-26529	182	19	)	)	PUNCT
fet-26529	182	20	,	,	PUNCT
fet-26529	182	21	where	where	SCONJ
fet-26529	182	22	n	n	PRON
fet-26529	182	23	denotes	denote	VERB
fet-26529	182	24	the	the	DET
fet-26529	182	25	number	number	NOUN
fet-26529	182	26	of	of	ADP
fet-26529	182	27	samples	sample	NOUN
fet-26529	182	28	,	,	PUNCT
fet-26529	182	29	iy	iy	PROPN
fet-26529	182	30	is	be	AUX
fet-26529	182	31	the	the	DET
fet-26529	182	32	sample	sample	NOUN
fet-26529	182	33	label	label	NOUN
fet-26529	182	34	(	(	PUNCT
fet-26529	182	35	0	0	NUM
fet-26529	182	36	denotes	denote	VERB
fet-26529	182	37	no	no	DET
fet-26529	182	38	fire	fire	NOUN
fet-26529	182	39	,	,	PUNCT
fet-26529	182	40	while	while	SCONJ
fet-26529	182	41	1	1	NUM
fet-26529	182	42	denotes	denote	NOUN
fet-26529	182	43	fire	fire	NOUN
fet-26529	182	44	)	)	PUNCT
fet-26529	182	45	,	,	PUNCT
fet-26529	182	46	ip	ip	NOUN
fet-26529	182	47	represents	represent	VERB
fet-26529	182	48	the	the	DET
fet-26529	182	49	predicted	predict	VERB
fet-26529	182	50	probability	probability	NOUN
fet-26529	182	51	value	value	NOUN
fet-26529	182	52	,	,	PUNCT
fet-26529	182	53	and	and	CCONJ
fet-26529	182	54			PROPN
fet-26529	182	55	log	log	PROPN
fet-26529	182	56			PRON
fet-26529	182	57	is	be	AUX
fet-26529	182	58	a	a	DET
fet-26529	182	59	logarithmic	logarithmic	ADJ
fet-26529	182	60	function	function	NOUN
fet-26529	182	61	.	.	PUNCT
fet-26529	183	1			NOUN
fet-26529	183	2			PUNCT
fet-26529	183	3			NOUN
fet-26529	183	4			PUNCT
fet-26529	183	5			NOUN
fet-26529	184	1			NOUN
fet-26529	185	1			PROPN
fet-26529	186	1	1	1	NUM
fet-26529	187	1	1	1	NUM
fet-26529	187	2	*	*	PUNCT
fet-26529	187	3	log	log	NOUN
fet-26529	187	4	1	1	NUM
fet-26529	187	5	*	*	PUNCT
fet-26529	187	6	log	log	NOUN
fet-26529	187	7	1	1	NUM
fet-26529	187	8			NUM
fet-26529	187	9			PROPN
fet-26529	187	10			PROPN
fet-26529	187	11			VERB
fet-26529	187	12			VERB
fet-26529	187	13			PROPN
fet-26529	188	1	n	n	PROPN
fet-26529	189	1	i	i	PRON
fet-26529	190	1	i	i	PRON
fet-26529	191	1	i	i	PRON
fet-26529	192	1	i	i	PRON
fet-26529	193	1	i	i	VERB
fet-26529	193	2	l	l	VERB
fet-26529	194	1	y	y	PROPN
fet-26529	194	2	p	p	X
fet-26529	194	3	y	y	PROPN
fet-26529	194	4	p	p	PROPN
fet-26529	194	5	n	n	PROPN
fet-26529	194	6	(	(	PUNCT
fet-26529	194	7	7	7	NUM
fet-26529	194	8	)	)	PUNCT
fet-26529	194	9	next	next	ADV
fet-26529	194	10	,	,	PUNCT
fet-26529	194	11	the	the	DET
fet-26529	194	12	hyperparameters	hyperparameter	NOUN
fet-26529	194	13	involved	involve	VERB
fet-26529	194	14	in	in	ADP
fet-26529	194	15	model	model	NOUN
fet-26529	194	16	training	training	NOUN
fet-26529	194	17	were	be	AUX
fet-26529	194	18	set	set	VERB
fet-26529	194	19	.	.	PUNCT
fet-26529	195	1	the	the	DET
fet-26529	195	2	learning	learning	NOUN
fet-26529	195	3	rate	rate	NOUN
fet-26529	195	4	for	for	ADP
fet-26529	195	5	the	the	DET
fet-26529	195	6	model	model	NOUN
fet-26529	195	7	was	be	AUX
fet-26529	195	8	set	set	VERB
fet-26529	195	9	to	to	ADP
fet-26529	195	10	0.0001	0.0001	NUM
fet-26529	195	11	.	.	PUNCT
fet-26529	196	1	while	while	SCONJ
fet-26529	196	2	keeping	keep	VERB
fet-26529	196	3	the	the	DET
fet-26529	196	4	number	number	NOUN
fet-26529	196	5	of	of	ADP
fet-26529	196	6	training	training	NOUN
fet-26529	196	7	rounds	round	NOUN
fet-26529	196	8	(	(	PUNCT
fet-26529	196	9	epochs	epoch	NOUN
fet-26529	196	10	)	)	PUNCT
fet-26529	196	11	constant	constant	ADJ
fet-26529	196	12	,	,	PUNCT
fet-26529	196	13	the	the	DET
fet-26529	196	14	maximum	maximum	ADJ
fet-26529	196	15	epochs	epoch	NOUN
fet-26529	196	16	was	be	AUX
fet-26529	196	17	set	set	VERB
fet-26529	196	18	to	to	ADP
fet-26529	196	19	10	10	NUM
fet-26529	196	20	.	.	PUNCT
fet-26529	197	1	the	the	DET
fet-26529	197	2	model	model	NOUN
fet-26529	197	3	optimizer	optimizer	NOUN
fet-26529	197	4	was	be	AUX
fet-26529	197	5	used	use	VERB
fet-26529	197	6	to	to	PART
fet-26529	197	7	locate	locate	VERB
fet-26529	197	8	optimal	optimal	ADJ
fet-26529	197	9	parameter	parameter	NOUN
fet-26529	197	10	solutions	solution	NOUN
fet-26529	197	11	.	.	PUNCT
fet-26529	198	1	in	in	ADP
fet-26529	198	2	this	this	DET
fet-26529	198	3	paper	paper	NOUN
fet-26529	198	4	,	,	PUNCT
fet-26529	198	5	the	the	DET
fet-26529	198	6	mini	mini	NOUN
fet-26529	198	7	-	-	NOUN
fet-26529	198	8	batch	batch	ADJ
fet-26529	198	9	stochastic	stochastic	ADJ
fet-26529	198	10	gradient	gradient	ADJ
fet-26529	198	11	descent	descent	NOUN
fet-26529	198	12	with	with	ADP
fet-26529	198	13	momentum	momentum	NOUN
fet-26529	198	14	(	(	PUNCT
fet-26529	198	15	msgd	msgd	ADJ
fet-26529	198	16	)	)	PUNCT
fet-26529	198	17	method	method	NOUN
fet-26529	198	18	was	be	AUX
fet-26529	198	19	applied	apply	VERB
fet-26529	198	20	with	with	ADP
fet-26529	198	21	a	a	DET
fet-26529	198	22	momentum	momentum	NOUN
fet-26529	198	23	proportion	proportion	NOUN
fet-26529	198	24	of	of	ADP
fet-26529	198	25	0.9	0.9	NUM
fet-26529	198	26	and	and	CCONJ
fet-26529	198	27	a	a	DET
fet-26529	198	28	small	small	ADJ
fet-26529	198	29	batch	batch	NOUN
fet-26529	198	30	size	size	NOUN
fet-26529	198	31	of	of	ADP
fet-26529	198	32	128	128	NUM
fet-26529	198	33	.	.	PUNCT
fet-26529	199	1	the	the	DET
fet-26529	199	2	training	training	NOUN
fet-26529	199	3	set	set	NOUN
fet-26529	199	4	was	be	AUX
fet-26529	199	5	shuffled	shuffle	VERB
fet-26529	199	6	before	before	ADP
fet-26529	199	7	each	each	DET
fet-26529	199	8	batch	batch	NOUN
fet-26529	199	9	division	division	NOUN
fet-26529	199	10	round	round	NOUN
fet-26529	199	11	.	.	PUNCT
fet-26529	200	1	to	to	PART
fet-26529	200	2	prevent	prevent	VERB
fet-26529	200	3	overfitting	overfitting	NOUN
fet-26529	200	4	,	,	PUNCT
fet-26529	200	5	the	the	DET
fet-26529	200	6	l2	l2	NOUN
fet-26529	200	7	-	-	PUNCT
fet-26529	200	8	norm	norm	NOUN
fet-26529	200	9	regularization	regularization	NOUN
fet-26529	200	10	technique	technique	NOUN
fet-26529	200	11	was	be	AUX
fet-26529	200	12	utilized	utilize	VERB
fet-26529	200	13	by	by	ADP
fet-26529	200	14	adding	add	VERB
fet-26529	200	15	a	a	DET
fet-26529	200	16	norm	norm	NOUN
fet-26529	200	17	penalty	penalty	NOUN
fet-26529	200	18	term	term	NOUN
fet-26529	200	19	.	.	PUNCT
fet-26529	201	1	3.5	3.5	NUM
fet-26529	201	2	evaluating	evaluating	NOUN
fet-26529	201	3	indicator	indicator	NOUN
fet-26529	201	4	the	the	DET
fet-26529	201	5	rate	rate	NOUN
fet-26529	201	6	and	and	CCONJ
fet-26529	201	7	performance	performance	NOUN
fet-26529	201	8	of	of	ADP
fet-26529	201	9	model	model	NOUN
fet-26529	201	10	convergence	convergence	NOUN
fet-26529	201	11	are	be	AUX
fet-26529	201	12	essential	essential	ADJ
fet-26529	201	13	factors	factor	NOUN
fet-26529	201	14	to	to	PART
fet-26529	201	15	consider	consider	VERB
fet-26529	201	16	.	.	PUNCT
fet-26529	202	1	the	the	DET
fet-26529	202	2	rate	rate	NOUN
fet-26529	202	3	of	of	ADP
fet-26529	202	4	convergence	convergence	NOUN
fet-26529	202	5	may	may	AUX
fet-26529	202	6	be	be	AUX
fet-26529	202	7	evaluated	evaluate	VERB
fet-26529	202	8	by	by	ADP
fet-26529	202	9	examining	examine	VERB
fet-26529	202	10	changes	change	NOUN
fet-26529	202	11	in	in	ADP
fet-26529	202	12	the	the	DET
fet-26529	202	13	training	training	NOUN
fet-26529	202	14	and	and	CCONJ
fet-26529	202	15	validation	validation	NOUN
fet-26529	202	16	losses	loss	NOUN
fet-26529	202	17	.	.	PUNCT
fet-26529	203	1	during	during	ADP
fet-26529	203	2	the	the	DET
fet-26529	203	3	training	training	NOUN
fet-26529	203	4	process	process	NOUN
fet-26529	203	5	,	,	PUNCT
fet-26529	203	6	observing	observe	VERB
fet-26529	203	7	the	the	DET
fet-26529	203	8	changes	change	NOUN
fet-26529	203	9	in	in	ADP
fet-26529	203	10	these	these	DET
fet-26529	203	11	two	two	NUM
fet-26529	203	12	losses	loss	NOUN
fet-26529	203	13	can	can	AUX
fet-26529	203	14	facilitate	facilitate	VERB
fet-26529	203	15	early	early	ADJ
fet-26529	203	16	detection	detection	NOUN
fet-26529	203	17	of	of	ADP
fet-26529	203	18	underfitting	underfitting	NOUN
fet-26529	203	19	or	or	CCONJ
fet-26529	203	20	overfitting	overfitte	VERB
fet-26529	203	21	problems	problem	NOUN
fet-26529	203	22	.	.	PUNCT
fet-26529	204	1	adjusting	adjust	VERB
fet-26529	204	2	the	the	DET
fet-26529	204	3	hyperparameters	hyperparameter	NOUN
fet-26529	204	4	of	of	ADP
fet-26529	204	5	the	the	DET
fet-26529	204	6	model	model	NOUN
fet-26529	204	7	and	and	CCONJ
fet-26529	204	8	beginning	begin	VERB
fet-26529	204	9	a	a	DET
fet-26529	204	10	new	new	ADJ
fet-26529	204	11	training	training	NOUN
fet-26529	204	12	process	process	NOUN
fet-26529	204	13	can	can	AUX
fet-26529	204	14	help	help	VERB
fet-26529	204	15	improve	improve	VERB
fet-26529	204	16	experimental	experimental	ADJ
fet-26529	204	17	efficiency	efficiency	NOUN
fet-26529	204	18	.	.	PUNCT
fet-26529	205	1	model	model	NOUN
fet-26529	205	2	performance	performance	NOUN
fet-26529	205	3	is	be	AUX
fet-26529	205	4	indicated	indicate	VERB
fet-26529	205	5	by	by	ADP
fet-26529	205	6	metrics	metric	NOUN
fet-26529	205	7	such	such	ADJ
fet-26529	205	8	as	as	ADP
fet-26529	205	9	accuracy	accuracy	NOUN
fet-26529	205	10	,	,	PUNCT
fet-26529	205	11	precision	precision	NOUN
fet-26529	205	12	,	,	PUNCT
fet-26529	205	13	recall	recall	NOUN
fet-26529	205	14	,	,	PUNCT
fet-26529	205	15	and	and	CCONJ
fet-26529	205	16	the	the	DET
fet-26529	205	17	f1	f1	PROPN
fet-26529	205	18	score	score	NOUN
fet-26529	205	19	.	.	PUNCT
fet-26529	206	1	to	to	PART
fet-26529	206	2	analyze	analyze	VERB
fet-26529	206	3	these	these	DET
fet-26529	206	4	metrics	metric	NOUN
fet-26529	206	5	,	,	PUNCT
fet-26529	206	6	it	it	PRON
fet-26529	206	7	is	be	AUX
fet-26529	206	8	common	common	ADJ
fet-26529	206	9	to	to	PART
fet-26529	206	10	establish	establish	VERB
fet-26529	206	11	a	a	DET
fet-26529	206	12	confusion	confusion	NOUN
fet-26529	206	13	matrix	matrix	NOUN
fet-26529	206	14	,	,	PUNCT
fet-26529	206	15	which	which	PRON
fet-26529	206	16	employs	employ	VERB
fet-26529	206	17	rows	row	NOUN
fet-26529	206	18	to	to	PART
fet-26529	206	19	represent	represent	VERB
fet-26529	206	20	the	the	DET
fet-26529	206	21	actual	actual	ADJ
fet-26529	206	22	sample	sample	NOUN
fet-26529	206	23	classifications	classification	NOUN
fet-26529	206	24	and	and	CCONJ
fet-26529	206	25	columns	column	NOUN
fet-26529	206	26	to	to	PART
fet-26529	206	27	show	show	VERB
fet-26529	206	28	the	the	DET
fet-26529	206	29	predicted	predict	VERB
fet-26529	206	30	classifications	classification	NOUN
fet-26529	206	31	.	.	PUNCT
fet-26529	207	1	the	the	DET
fet-26529	207	2	matrix	matrix	NOUN
fet-26529	207	3	’s	’s	PART
fet-26529	207	4	values	value	NOUN
fet-26529	207	5	represent	represent	VERB
fet-26529	207	6	the	the	DET
fet-26529	207	7	number	number	NOUN
fet-26529	207	8	of	of	ADP
fet-26529	207	9	samples	sample	NOUN
fet-26529	207	10	that	that	PRON
fet-26529	207	11	conform	conform	VERB
fet-26529	207	12	to	to	ADP
fet-26529	207	13	both	both	CCONJ
fet-26529	207	14	the	the	DET
fet-26529	207	15	row	row	NOUN
fet-26529	207	16	and	and	CCONJ
fet-26529	207	17	column	column	NOUN
fet-26529	207	18	traits	trait	NOUN
fet-26529	207	19	.	.	PUNCT
fet-26529	208	1	for	for	ADP
fet-26529	208	2	binary	binary	ADJ
fet-26529	208	3	classification	classification	NOUN
fet-26529	208	4	,	,	PUNCT
fet-26529	208	5	the	the	DET
fet-26529	208	6	confusion	confusion	NOUN
fet-26529	208	7	matrix	matrix	NOUN
fet-26529	208	8	can	can	AUX
fet-26529	208	9	be	be	AUX
fet-26529	208	10	presented	present	VERB
fet-26529	208	11	using	use	VERB
fet-26529	208	12	the	the	DET
fet-26529	208	13	four	four	NUM
fet-26529	208	14	elements	element	NOUN
fet-26529	208	15	:	:	PUNCT
fet-26529	208	16	tp	tp	NOUN
fet-26529	208	17	,	,	PUNCT
fet-26529	208	18	tn	tn	PROPN
fet-26529	208	19	,	,	PUNCT
fet-26529	208	20	fn	fn	NOUN
fet-26529	208	21	and	and	CCONJ
fet-26529	208	22	fp	fp	INTJ
fet-26529	208	23	,	,	PUNCT
fet-26529	208	24	as	as	SCONJ
fet-26529	208	25	shown	show	VERB
fet-26529	208	26	in	in	ADP
fet-26529	208	27	table	table	NOUN
fet-26529	208	28	1	1	NUM
fet-26529	208	29	.	.	PUNCT
fet-26529	209	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	209	2	frontiers	frontier	NOUN
fet-26529	209	3	in	in	ADP
fet-26529	209	4	education	education	NOUN
fet-26529	209	5	technology	technology	NOUN
fet-26529	209	6	vol	vol	NOUN
fet-26529	209	7	.	.	PROPN
fet-26529	210	1	6	6	NUM
fet-26529	210	2	,	,	PUNCT
fet-26529	210	3	no	no	INTJ
fet-26529	210	4	.	.	NOUN
fet-26529	210	5	2	2	NUM
fet-26529	210	6	,	,	PUNCT
fet-26529	210	7	2023	2023	NUM
fet-26529	210	8	153	153	NUM
fet-26529	210	9	published	publish	VERB
fet-26529	210	10	by	by	ADP
fet-26529	210	11	scholink	scholink	PROPN
fet-26529	210	12	inc	inc	PROPN
fet-26529	210	13	.	.	PROPN
fet-26529	210	14	table	table	PROPN
fet-26529	210	15	1	1	NUM
fet-26529	210	16	.	.	PUNCT
fet-26529	210	17	confusion	confusion	NOUN
fet-26529	210	18	matrix	matrix	NOUN
fet-26529	210	19	1	1	NUM
fet-26529	210	20	predicted	predict	VERB
fet-26529	210	21	0	0	NUM
fet-26529	210	22	predicted	predict	VERB
fet-26529	210	23	1	1	NUM
fet-26529	210	24	actual	actual	ADJ
fet-26529	210	25	tp	tp	PART
fet-26529	210	26	fn	fn	PROPN
fet-26529	210	27	0	0	NUM
fet-26529	210	28	actual	actual	ADJ
fet-26529	210	29	fp	fp	PROPN
fet-26529	210	30	tn	tn	PROPN
fet-26529	210	31	accuracy	accuracy	NOUN
fet-26529	210	32	is	be	AUX
fet-26529	210	33	the	the	DET
fet-26529	210	34	ratio	ratio	NOUN
fet-26529	210	35	of	of	ADP
fet-26529	210	36	the	the	DET
fet-26529	210	37	number	number	NOUN
fet-26529	210	38	of	of	ADP
fet-26529	210	39	correct	correct	ADJ
fet-26529	210	40	predictions	prediction	NOUN
fet-26529	210	41	to	to	ADP
fet-26529	210	42	the	the	DET
fet-26529	210	43	total	total	ADJ
fet-26529	210	44	number	number	NOUN
fet-26529	210	45	of	of	ADP
fet-26529	210	46	samples	sample	NOUN
fet-26529	210	47	and	and	CCONJ
fet-26529	210	48	equals	equal	VERB
fet-26529	210	49			NOUN
fet-26529	210	50			SYM
fet-26529	210	51			NOUN
fet-26529	210	52	tp+tn	tp+tn	NOUN
fet-26529	210	53	/	/	PUNCT
fet-26529	211	1	tp+fp+fn	tp+fp+fn	VERB
fet-26529	212	1	+	+	PROPN
fet-26529	212	2	tn	tn	NOUN
fet-26529	212	3	.	.	PUNCT
fet-26529	213	1	the	the	DET
fet-26529	213	2	precision	precision	NOUN
fet-26529	213	3	rate	rate	NOUN
fet-26529	213	4	denotes	denote	NOUN
fet-26529	213	5			PROPN
fet-26529	213	6	tp	tp	PROPN
fet-26529	213	7	/	/	SYM
fet-26529	213	8	tp+fp	tp+fp	INTJ
fet-26529	213	9	.	.	PUNCT
fet-26529	214	1	additionally	additionally	ADV
fet-26529	214	2	,	,	PUNCT
fet-26529	214	3	the	the	DET
fet-26529	214	4	recall	recall	NOUN
fet-26529	214	5	rate	rate	NOUN
fet-26529	214	6	is	be	AUX
fet-26529	214	7	defined	define	VERB
fet-26529	214	8	as	as	ADP
fet-26529	214	9			NOUN
fet-26529	214	10	tp	tp	PROPN
fet-26529	214	11	/	/	SYM
fet-26529	214	12	tp+fn	tp+fn	VERB
fet-26529	214	13	,	,	PUNCT
fet-26529	214	14	which	which	PRON
fet-26529	214	15	represents	represent	VERB
fet-26529	214	16	the	the	DET
fet-26529	214	17	proportion	proportion	NOUN
fet-26529	214	18	of	of	ADP
fet-26529	214	19	correctly	correctly	ADV
fet-26529	214	20	predicted	predict	VERB
fet-26529	214	21	positive	positive	ADJ
fet-26529	214	22	samples	sample	NOUN
fet-26529	214	23	in	in	ADP
fet-26529	214	24	the	the	DET
fet-26529	214	25	total	total	ADJ
fet-26529	214	26	number	number	NOUN
fet-26529	214	27	of	of	ADP
fet-26529	214	28	actual	actual	ADJ
fet-26529	214	29	positive	positive	ADJ
fet-26529	214	30	samples	sample	NOUN
fet-26529	214	31	.	.	PUNCT
fet-26529	215	1	generally	generally	ADV
fet-26529	215	2	,	,	PUNCT
fet-26529	215	3	a	a	DET
fet-26529	215	4	higher	high	ADJ
fet-26529	215	5	value	value	NOUN
fet-26529	215	6	for	for	ADP
fet-26529	215	7	these	these	DET
fet-26529	215	8	indicators	indicator	NOUN
fet-26529	215	9	indicates	indicate	VERB
fet-26529	215	10	better	well	ADJ
fet-26529	215	11	model	model	NOUN
fet-26529	215	12	performance	performance	NOUN
fet-26529	215	13	.	.	PUNCT
fet-26529	216	1	moreover	moreover	ADV
fet-26529	216	2	,	,	PUNCT
fet-26529	216	3	the	the	DET
fet-26529	216	4	evaluation	evaluation	NOUN
fet-26529	216	5	metric	metric	NOUN
fet-26529	216	6	introduced	introduce	VERB
fet-26529	216	7	to	to	PART
fet-26529	216	8	assess	assess	VERB
fet-26529	216	9	the	the	DET
fet-26529	216	10	overall	overall	ADJ
fet-26529	216	11	model	model	NOUN
fet-26529	216	12	performance	performance	NOUN
fet-26529	216	13	is	be	AUX
fet-26529	216	14	the	the	DET
fet-26529	216	15	f1	f1	PROPN
fet-26529	216	16	score	score	NOUN
fet-26529	216	17	,	,	PUNCT
fet-26529	216	18	which	which	PRON
fet-26529	216	19	combines	combine	VERB
fet-26529	216	20	both	both	DET
fet-26529	216	21	accuracy	accuracy	NOUN
fet-26529	216	22	and	and	CCONJ
fet-26529	216	23	recall	recall	NOUN
fet-26529	216	24	indicators	indicator	NOUN
fet-26529	216	25	,	,	PUNCT
fet-26529	216	26	and	and	CCONJ
fet-26529	216	27	is	be	AUX
fet-26529	216	28	determined	determine	VERB
fet-26529	216	29	by	by	ADP
fet-26529	216	30			NOUN
fet-26529	217	1			PROPN
fet-26529	217	2			NOUN
fet-26529	217	3	2	2	NOUN
fet-26529	217	4	*	*	NOUN
fet-26529	217	5	*	*	PUNCT
fet-26529	217	6	precision	precision	NOUN
fet-26529	217	7	recall	recall	NOUN
fet-26529	217	8	precision	precision	NOUN
fet-26529	217	9	re+	re+	NOUN
fet-26529	217	10	/	/	PUNCT
fet-26529	217	11	call	call	VERB
fet-26529	217	12	.	.	PUNCT
fet-26529	218	1	4	4	X
fet-26529	218	2	.	.	X
fet-26529	218	3	experimental	experimental	ADJ
fet-26529	218	4	results	result	NOUN
fet-26529	218	5	and	and	CCONJ
fet-26529	218	6	analysis	analysis	NOUN
fet-26529	218	7	based	base	VERB
fet-26529	218	8	on	on	ADP
fet-26529	218	9	the	the	DET
fet-26529	218	10	above	above	ADV
fet-26529	218	11	-	-	PUNCT
fet-26529	218	12	mentioned	mention	VERB
fet-26529	218	13	experimental	experimental	ADJ
fet-26529	218	14	environment	environment	NOUN
fet-26529	218	15	,	,	PUNCT
fet-26529	218	16	dataset	dataset	NOUN
fet-26529	218	17	,	,	PUNCT
fet-26529	218	18	data	datum	NOUN
fet-26529	218	19	preprocessing	preprocessing	NOUN
fet-26529	218	20	and	and	CCONJ
fet-26529	218	21	model	model	NOUN
fet-26529	218	22	training	training	NOUN
fet-26529	218	23	settings	setting	NOUN
fet-26529	218	24	,	,	PUNCT
fet-26529	218	25	this	this	DET
fet-26529	218	26	paper	paper	NOUN
fet-26529	218	27	conducted	conduct	VERB
fet-26529	218	28	transfer	transfer	NOUN
fet-26529	218	29	learning	learn	VERB
fet-26529	218	30	to	to	PART
fet-26529	218	31	detect	detect	VERB
fet-26529	218	32	laboratory	laboratory	NOUN
fet-26529	218	33	fires	fire	NOUN
fet-26529	218	34	using	use	VERB
fet-26529	218	35	googlenet	googlenet	NOUN
fet-26529	218	36	,	,	PUNCT
fet-26529	218	37	resnet	resnet	NOUN
fet-26529	218	38	,	,	PUNCT
fet-26529	218	39	and	and	CCONJ
fet-26529	218	40	mobilenet	mobilenet	NOUN
fet-26529	218	41	models	model	NOUN
fet-26529	218	42	.	.	PUNCT
fet-26529	219	1	the	the	DET
fet-26529	219	2	models	model	NOUN
fet-26529	219	3	were	be	AUX
fet-26529	219	4	iteratively	iteratively	ADV
fet-26529	219	5	optimized	optimize	VERB
fet-26529	219	6	to	to	PART
fet-26529	219	7	achieve	achieve	VERB
fet-26529	219	8	convergence	convergence	NOUN
fet-26529	219	9	.	.	PUNCT
fet-26529	220	1	the	the	DET
fet-26529	220	2	loss	loss	NOUN
fet-26529	220	3	curves	curve	NOUN
fet-26529	220	4	of	of	ADP
fet-26529	220	5	training	training	NOUN
fet-26529	220	6	and	and	CCONJ
fet-26529	220	7	verification	verification	NOUN
fet-26529	220	8	based	base	VERB
fet-26529	220	9	on	on	ADP
fet-26529	220	10	the	the	DET
fet-26529	220	11	three	three	NUM
fet-26529	220	12	models	model	NOUN
fet-26529	220	13	are	be	AUX
fet-26529	220	14	presented	present	VERB
fet-26529	220	15	in	in	ADP
fet-26529	220	16	figure	figure	NOUN
fet-26529	220	17	9	9	NUM
fet-26529	220	18	and	and	CCONJ
fet-26529	220	19	10	10	NUM
fet-26529	220	20	.	.	PUNCT
fet-26529	221	1	both	both	CCONJ
fet-26529	221	2	the	the	DET
fet-26529	221	3	training	training	NOUN
fet-26529	221	4	and	and	CCONJ
fet-26529	221	5	validation	validation	NOUN
fet-26529	221	6	loss	loss	NOUN
fet-26529	221	7	gradually	gradually	ADV
fet-26529	221	8	decline	decline	VERB
fet-26529	221	9	with	with	ADP
fet-26529	221	10	the	the	DET
fet-26529	221	11	continuous	continuous	ADJ
fet-26529	221	12	increase	increase	NOUN
fet-26529	221	13	in	in	ADP
fet-26529	221	14	model	model	NOUN
fet-26529	221	15	iteration	iteration	NOUN
fet-26529	221	16	and	and	CCONJ
fet-26529	221	17	ultimately	ultimately	ADV
fet-26529	221	18	reach	reach	VERB
fet-26529	221	19	stability	stability	NOUN
fet-26529	221	20	,	,	PUNCT
fet-26529	221	21	which	which	PRON
fet-26529	221	22	indicates	indicate	VERB
fet-26529	221	23	that	that	SCONJ
fet-26529	221	24	the	the	DET
fet-26529	221	25	final	final	ADJ
fet-26529	221	26	convergence	convergence	NOUN
fet-26529	221	27	results	result	NOUN
fet-26529	221	28	met	meet	VERB
fet-26529	221	29	expectations	expectation	NOUN
fet-26529	221	30	without	without	ADP
fet-26529	221	31	overfitting	overfitte	VERB
fet-26529	221	32	or	or	CCONJ
fet-26529	221	33	underfitting	underfitting	NOUN
fet-26529	221	34	.	.	PUNCT
fet-26529	222	1	furthermore	furthermore	ADV
fet-26529	222	2	,	,	PUNCT
fet-26529	222	3	the	the	DET
fet-26529	222	4	training	training	NOUN
fet-26529	222	5	and	and	CCONJ
fet-26529	222	6	validation	validation	NOUN
fet-26529	222	7	loss	loss	NOUN
fet-26529	222	8	curves	curve	NOUN
fet-26529	222	9	in	in	ADP
fet-26529	222	10	googlenet	googlenet	NOUN
fet-26529	222	11	and	and	CCONJ
fet-26529	222	12	resnet	resnet	NOUN
fet-26529	222	13	have	have	VERB
fet-26529	222	14	a	a	DET
fet-26529	222	15	faster	fast	ADJ
fet-26529	222	16	decline	decline	NOUN
fet-26529	222	17	rate	rate	NOUN
fet-26529	222	18	compared	compare	VERB
fet-26529	222	19	to	to	ADP
fet-26529	222	20	mobilenet	mobilenet	PROPN
fet-26529	222	21	.	.	PUNCT
fet-26529	223	1	after	after	ADP
fet-26529	223	2	approximately	approximately	ADV
fet-26529	223	3	20	20	NUM
fet-26529	223	4	iterations	iteration	NOUN
fet-26529	223	5	,	,	PUNCT
fet-26529	223	6	the	the	DET
fet-26529	223	7	training	training	NOUN
fet-26529	223	8	and	and	CCONJ
fet-26529	223	9	validation	validation	NOUN
fet-26529	223	10	losses	loss	NOUN
fet-26529	223	11	of	of	ADP
fet-26529	223	12	googlenet	googlenet	NOUN
fet-26529	223	13	approach	approach	NOUN
fet-26529	223	14	zero	zero	NUM
fet-26529	223	15	and	and	CCONJ
fet-26529	223	16	those	those	PRON
fet-26529	223	17	of	of	ADP
fet-26529	223	18	resnet	resnet	NOUN
fet-26529	223	19	and	and	CCONJ
fet-26529	223	20	mobilenet	mobilenet	NOUN
fet-26529	223	21	only	only	ADV
fet-26529	223	22	converge	converge	VERB
fet-26529	223	23	to	to	ADP
fet-26529	223	24	zero	zero	NUM
fet-26529	223	25	after	after	ADP
fet-26529	223	26	approximately	approximately	ADV
fet-26529	223	27	30	30	NUM
fet-26529	223	28	iterations	iteration	NOUN
fet-26529	223	29	.	.	PUNCT
fet-26529	224	1	additionally	additionally	ADV
fet-26529	224	2	,	,	PUNCT
fet-26529	224	3	the	the	DET
fet-26529	224	4	curve	curve	NOUN
fet-26529	224	5	changes	change	NOUN
fet-26529	224	6	of	of	ADP
fet-26529	224	7	mobilenet	mobilenet	NOUN
fet-26529	224	8	are	be	AUX
fet-26529	224	9	more	more	ADV
fet-26529	224	10	stable	stable	ADJ
fet-26529	224	11	than	than	ADP
fet-26529	224	12	those	those	PRON
fet-26529	224	13	of	of	ADP
fet-26529	224	14	googlenet	googlenet	NOUN
fet-26529	224	15	and	and	CCONJ
fet-26529	224	16	resnet	resnet	VERB
fet-26529	224	17	without	without	ADP
fet-26529	224	18	significant	significant	ADJ
fet-26529	224	19	fluctuations	fluctuation	NOUN
fet-26529	224	20	.	.	PUNCT
fet-26529	225	1	based	base	VERB
fet-26529	225	2	on	on	ADP
fet-26529	225	3	these	these	DET
fet-26529	225	4	observations	observation	NOUN
fet-26529	225	5	,	,	PUNCT
fet-26529	225	6	it	it	PRON
fet-26529	225	7	can	can	AUX
fet-26529	225	8	be	be	AUX
fet-26529	225	9	inferred	infer	VERB
fet-26529	225	10	that	that	SCONJ
fet-26529	225	11	the	the	DET
fet-26529	225	12	googlenet	googlenet	NOUN
fet-26529	225	13	model	model	NOUN
fet-26529	225	14	is	be	AUX
fet-26529	225	15	suitable	suitable	ADJ
fet-26529	225	16	as	as	ADP
fet-26529	225	17	the	the	DET
fet-26529	225	18	primary	primary	ADJ
fet-26529	225	19	model	model	NOUN
fet-26529	225	20	for	for	ADP
fet-26529	225	21	laboratory	laboratory	NOUN
fet-26529	225	22	fire	fire	NOUN
fet-26529	225	23	detection	detection	NOUN
fet-26529	225	24	.	.	PUNCT
fet-26529	226	1	mobilenet	mobilenet	NOUN
fet-26529	226	2	may	may	AUX
fet-26529	226	3	be	be	AUX
fet-26529	226	4	used	use	VERB
fet-26529	226	5	as	as	ADP
fet-26529	226	6	the	the	DET
fet-26529	226	7	suboptimal	suboptimal	ADJ
fet-26529	226	8	model	model	NOUN
fet-26529	226	9	due	due	ADP
fet-26529	226	10	to	to	ADP
fet-26529	226	11	its	its	PRON
fet-26529	226	12	slower	slow	ADJ
fet-26529	226	13	convergence	convergence	NOUN
fet-26529	226	14	rate	rate	NOUN
fet-26529	226	15	.	.	PUNCT
fet-26529	227	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	227	2	frontiers	frontier	NOUN
fet-26529	227	3	in	in	ADP
fet-26529	227	4	education	education	NOUN
fet-26529	227	5	technology	technology	NOUN
fet-26529	227	6	vol	vol	NOUN
fet-26529	227	7	.	.	PROPN
fet-26529	228	1	6	6	NUM
fet-26529	228	2	,	,	PUNCT
fet-26529	228	3	no	no	INTJ
fet-26529	228	4	.	.	NOUN
fet-26529	228	5	2	2	NUM
fet-26529	228	6	,	,	PUNCT
fet-26529	228	7	2023	2023	NUM
fet-26529	228	8	154	154	NUM
fet-26529	228	9	published	publish	VERB
fet-26529	228	10	by	by	ADP
fet-26529	228	11	scholink	scholink	PROPN
fet-26529	228	12	inc	inc	PROPN
fet-26529	228	13	.	.	PROPN
fet-26529	228	14	figure	figure	NOUN
fet-26529	228	15	9	9	NUM
fet-26529	228	16	.	.	PUNCT
fet-26529	229	1	training	training	NOUN
fet-26529	229	2	loss	loss	NOUN
fet-26529	229	3	figure	figure	NOUN
fet-26529	229	4	10	10	NUM
fet-26529	229	5	.	.	PUNCT
fet-26529	230	1	validation	validation	NOUN
fet-26529	230	2	loss	loss	NOUN
fet-26529	230	3	in	in	ADP
fet-26529	230	4	addition	addition	NOUN
fet-26529	230	5	to	to	ADP
fet-26529	230	6	monitoring	monitor	VERB
fet-26529	230	7	changes	change	NOUN
fet-26529	230	8	in	in	ADP
fet-26529	230	9	training	training	NOUN
fet-26529	230	10	and	and	CCONJ
fet-26529	230	11	validation	validation	NOUN
fet-26529	230	12	losses	loss	NOUN
fet-26529	230	13	,	,	PUNCT
fet-26529	230	14	the	the	DET
fet-26529	230	15	confusion	confusion	NOUN
fet-26529	230	16	matrix	matrix	NOUN
fet-26529	230	17	was	be	AUX
fet-26529	230	18	constructed	construct	VERB
fet-26529	230	19	for	for	ADP
fet-26529	230	20	the	the	DET
fet-26529	230	21	three	three	NUM
fet-26529	230	22	models	model	NOUN
fet-26529	230	23	to	to	PART
fet-26529	230	24	provide	provide	VERB
fet-26529	230	25	evaluations	evaluation	NOUN
fet-26529	230	26	of	of	ADP
fet-26529	230	27	performance	performance	NOUN
fet-26529	230	28	.	.	PUNCT
fet-26529	231	1	the	the	DET
fet-26529	231	2	2x2	2x2	NUM
fet-26529	231	3	confusion	confusion	NOUN
fet-26529	231	4	matrixes	matrix	NOUN
fet-26529	231	5	is	be	AUX
fet-26529	231	6	shown	show	VERB
fet-26529	231	7	in	in	ADP
fet-26529	231	8	figure	figure	NOUN
fet-26529	231	9	11	11	NUM
fet-26529	231	10	,	,	PUNCT
fet-26529	231	11	12	12	NUM
fet-26529	231	12	,	,	PUNCT
fet-26529	231	13	and	and	CCONJ
fet-26529	231	14	13	13	NUM
fet-26529	231	15	,	,	PUNCT
fet-26529	231	16	respectively	respectively	ADV
fet-26529	231	17	.	.	PUNCT
fet-26529	232	1	the	the	DET
fet-26529	232	2	right	right	ADJ
fet-26529	232	3	part	part	NOUN
fet-26529	232	4	in	in	ADP
fet-26529	232	5	matrixes	matrix	NOUN
fet-26529	232	6	indicates	indicate	VERB
fet-26529	232	7	the	the	DET
fet-26529	232	8	proportion	proportion	NOUN
fet-26529	232	9	of	of	ADP
fet-26529	232	10	each	each	DET
fet-26529	232	11	element	element	NOUN
fet-26529	232	12	after	after	ADP
fet-26529	232	13	row	row	NOUN
fet-26529	232	14	normalization	normalization	NOUN
fet-26529	232	15	,	,	PUNCT
fet-26529	232	16	which	which	PRON
fet-26529	232	17	reflects	reflect	VERB
fet-26529	232	18	the	the	DET
fet-26529	232	19	probabilities	probability	NOUN
fet-26529	232	20	of	of	ADP
fet-26529	232	21	correct	correct	ADJ
fet-26529	232	22	and	and	CCONJ
fet-26529	232	23	incorrect	incorrect	ADJ
fet-26529	232	24	predictions	prediction	NOUN
fet-26529	232	25	based	base	VERB
fet-26529	232	26	on	on	ADP
fet-26529	232	27	the	the	DET
fet-26529	232	28	actual	actual	ADJ
fet-26529	232	29	samples	sample	NOUN
fet-26529	232	30	.	.	PUNCT
fet-26529	233	1	likewise	likewise	ADV
fet-26529	233	2	,	,	PUNCT
fet-26529	233	3	the	the	DET
fet-26529	233	4	lower	low	ADJ
fet-26529	233	5	part	part	NOUN
fet-26529	233	6	in	in	ADP
fet-26529	233	7	matrixes	matrix	NOUN
fet-26529	233	8	displayed	display	VERB
fet-26529	233	9	represents	represent	VERB
fet-26529	233	10	the	the	DET
fet-26529	233	11	proportion	proportion	NOUN
fet-26529	233	12	of	of	ADP
fet-26529	233	13	each	each	DET
fet-26529	233	14	element	element	NOUN
fet-26529	233	15	after	after	ADP
fet-26529	233	16	column	column	NOUN
fet-26529	233	17	normalization	normalization	NOUN
fet-26529	233	18	,	,	PUNCT
fet-26529	233	19	which	which	PRON
fet-26529	233	20	shows	show	VERB
fet-26529	233	21	the	the	DET
fet-26529	233	22	probability	probability	NOUN
fet-26529	233	23	of	of	ADP
fet-26529	233	24	actual	actual	ADJ
fet-26529	233	25	correctness	correctness	NOUN
fet-26529	233	26	and	and	CCONJ
fet-26529	233	27	error	error	NOUN
fet-26529	233	28	in	in	ADP
fet-26529	233	29	the	the	DET
fet-26529	233	30	predicted	predict	VERB
fet-26529	233	31	samples	sample	NOUN
fet-26529	233	32	.	.	PUNCT
fet-26529	234	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	234	2	frontiers	frontier	NOUN
fet-26529	234	3	in	in	ADP
fet-26529	234	4	education	education	NOUN
fet-26529	234	5	technology	technology	NOUN
fet-26529	234	6	vol	vol	NOUN
fet-26529	234	7	.	.	PROPN
fet-26529	235	1	6	6	NUM
fet-26529	235	2	,	,	PUNCT
fet-26529	235	3	no	no	INTJ
fet-26529	235	4	.	.	NOUN
fet-26529	235	5	2	2	NUM
fet-26529	235	6	,	,	PUNCT
fet-26529	235	7	2023	2023	NUM
fet-26529	235	8	155	155	NUM
fet-26529	235	9	published	publish	VERB
fet-26529	235	10	by	by	ADP
fet-26529	235	11	scholink	scholink	PROPN
fet-26529	235	12	inc	inc	PROPN
fet-26529	235	13	.	.	PROPN
fet-26529	235	14	figure	figure	NOUN
fet-26529	235	15	11	11	NUM
fet-26529	235	16	.	.	PUNCT
fet-26529	236	1	confusion	confusion	NOUN
fet-26529	236	2	matrix	matrix	NOUN
fet-26529	236	3	of	of	ADP
fet-26529	236	4	googlenet	googlenet	NOUN
fet-26529	236	5	figure	figure	NOUN
fet-26529	236	6	12	12	NUM
fet-26529	236	7	.	.	PUNCT
fet-26529	237	1	confusion	confusion	NOUN
fet-26529	237	2	matrix	matrix	NOUN
fet-26529	237	3	of	of	ADP
fet-26529	237	4	resnet	resnet	ADJ
fet-26529	237	5	figure	figure	NOUN
fet-26529	237	6	13	13	NUM
fet-26529	237	7	.	.	PUNCT
fet-26529	238	1	confusion	confusion	NOUN
fet-26529	238	2	matrix	matrix	NOUN
fet-26529	238	3	of	of	ADP
fet-26529	238	4	mobilenet	mobilenet	PROPN
fet-26529	238	5	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	238	6	frontiers	frontier	NOUN
fet-26529	238	7	in	in	ADP
fet-26529	238	8	education	education	NOUN
fet-26529	238	9	technology	technology	NOUN
fet-26529	238	10	vol	vol	NOUN
fet-26529	238	11	.	.	PROPN
fet-26529	239	1	6	6	NUM
fet-26529	239	2	,	,	PUNCT
fet-26529	239	3	no	no	INTJ
fet-26529	239	4	.	.	NOUN
fet-26529	239	5	2	2	NUM
fet-26529	239	6	,	,	PUNCT
fet-26529	239	7	2023	2023	NUM
fet-26529	239	8	156	156	NUM
fet-26529	239	9	published	publish	VERB
fet-26529	239	10	by	by	ADP
fet-26529	239	11	scholink	scholink	PROPN
fet-26529	239	12	inc	inc	PROPN
fet-26529	239	13	.	.	PUNCT
fet-26529	240	1	this	this	DET
fet-26529	240	2	paper	paper	NOUN
fet-26529	240	3	evaluated	evaluate	VERB
fet-26529	240	4	the	the	DET
fet-26529	240	5	accuracy	accuracy	NOUN
fet-26529	240	6	rate	rate	NOUN
fet-26529	240	7	,	,	PUNCT
fet-26529	240	8	recall	recall	NOUN
fet-26529	240	9	rate	rate	NOUN
fet-26529	240	10	,	,	PUNCT
fet-26529	240	11	and	and	CCONJ
fet-26529	240	12	f1	f1	ADJ
fet-26529	240	13	score	score	NOUN
fet-26529	240	14	of	of	ADP
fet-26529	240	15	three	three	NUM
fet-26529	240	16	models	model	NOUN
fet-26529	240	17	.	.	PUNCT
fet-26529	241	1	table	table	NOUN
fet-26529	241	2	2	2	NUM
fet-26529	241	3	presents	present	VERB
fet-26529	241	4	the	the	DET
fet-26529	241	5	results	result	NOUN
fet-26529	241	6	showing	show	VERB
fet-26529	241	7	that	that	SCONJ
fet-26529	241	8	mobilenet	mobilenet	PROPN
fet-26529	241	9	outperformed	outperform	VERB
fet-26529	241	10	googlenet	googlenet	PROPN
fet-26529	241	11	and	and	CCONJ
fet-26529	241	12	resnet	resnet	VERB
fet-26529	241	13	with	with	ADP
fet-26529	241	14	the	the	DET
fet-26529	241	15	highest	high	ADJ
fet-26529	241	16	scores	score	NOUN
fet-26529	241	17	in	in	ADP
fet-26529	241	18	accuracy	accuracy	NOUN
fet-26529	241	19	,	,	PUNCT
fet-26529	241	20	precision	precision	NOUN
fet-26529	241	21	,	,	PUNCT
fet-26529	241	22	recall	recall	NOUN
fet-26529	241	23	,	,	PUNCT
fet-26529	241	24	and	and	CCONJ
fet-26529	241	25	f1	f1	NOUN
fet-26529	241	26	.	.	PUNCT
fet-26529	242	1	although	although	SCONJ
fet-26529	242	2	there	there	PRON
fet-26529	242	3	is	be	VERB
fet-26529	242	4	a	a	DET
fet-26529	242	5	slight	slight	ADJ
fet-26529	242	6	difference	difference	NOUN
fet-26529	242	7	for	for	ADP
fet-26529	242	8	the	the	DET
fet-26529	242	9	three	three	NUM
fet-26529	242	10	models	model	NOUN
fet-26529	242	11	,	,	PUNCT
fet-26529	242	12	the	the	DET
fet-26529	242	13	variation	variation	NOUN
fet-26529	242	14	is	be	AUX
fet-26529	242	15	insignificant	insignificant	ADJ
fet-26529	242	16	especially	especially	ADV
fet-26529	242	17	between	between	ADP
fet-26529	242	18	googlenet	googlenet	NOUN
fet-26529	242	19	and	and	CCONJ
fet-26529	242	20	mobilenet	mobilenet	PROPN
fet-26529	242	21	.	.	PUNCT
fet-26529	243	1	based	base	VERB
fet-26529	243	2	on	on	ADP
fet-26529	243	3	these	these	DET
fet-26529	243	4	results	result	NOUN
fet-26529	243	5	,	,	PUNCT
fet-26529	243	6	mobilenet	mobilenet	NOUN
fet-26529	243	7	can	can	AUX
fet-26529	243	8	serve	serve	VERB
fet-26529	243	9	as	as	ADP
fet-26529	243	10	the	the	DET
fet-26529	243	11	ideal	ideal	ADJ
fet-26529	243	12	model	model	NOUN
fet-26529	243	13	and	and	CCONJ
fet-26529	243	14	googlenet	googlenet	NOUN
fet-26529	243	15	can	can	AUX
fet-26529	243	16	be	be	AUX
fet-26529	243	17	considered	consider	VERB
fet-26529	243	18	a	a	DET
fet-26529	243	19	secondary	secondary	ADJ
fet-26529	243	20	choice	choice	NOUN
fet-26529	243	21	for	for	ADP
fet-26529	243	22	laboratory	laboratory	NOUN
fet-26529	243	23	fire	fire	NOUN
fet-26529	243	24	detection	detection	NOUN
fet-26529	243	25	in	in	ADP
fet-26529	243	26	transfer	transfer	NOUN
fet-26529	243	27	learning	learning	NOUN
fet-26529	243	28	.	.	PUNCT
fet-26529	244	1	table	table	NOUN
fet-26529	244	2	2	2	NUM
fet-26529	244	3	.	.	PUNCT
fet-26529	244	4	performances	performance	NOUN
fet-26529	244	5	of	of	ADP
fet-26529	244	6	learning	learn	VERB
fet-26529	244	7	models	model	NOUN
fet-26529	244	8	accuracy	accuracy	NOUN
fet-26529	244	9	rate	rate	NOUN
fet-26529	244	10	precision	precision	NOUN
fet-26529	244	11	rate	rate	NOUN
fet-26529	244	12	recall	recall	PROPN
fet-26529	244	13	rate	rate	NOUN
fet-26529	244	14	f1	f1	PROPN
fet-26529	244	15	score	score	NOUN
fet-26529	244	16	googlenet	googlenet	NOUN
fet-26529	244	17	0.9901	0.9901	NUM
fet-26529	244	18	0.9934	0.9934	NUM
fet-26529	244	19	0.9868	0.9868	NUM
fet-26529	244	20	0.9901	0.9901	NUM
fet-26529	244	21	resnet	resnet	VERB
fet-26529	244	22	0.9768	0.9768	NUM
fet-26529	244	23	0.9868	0.9868	NUM
fet-26529	244	24	0.9675	0.9675	NUM
fet-26529	244	25	0.9770	0.9770	NUM
fet-26529	244	26	mobilenet	mobilenet	NOUN
fet-26529	244	27	0.9967	0.9967	NUM
fet-26529	244	28	1.0000	1.0000	NUM
fet-26529	244	29	0.9934	0.9934	NUM
fet-26529	244	30	0.9967	0.9967	NUM
fet-26529	244	31	to	to	PART
fet-26529	244	32	assess	assess	VERB
fet-26529	244	33	the	the	DET
fet-26529	244	34	rate	rate	NOUN
fet-26529	244	35	of	of	ADP
fet-26529	244	36	convergence	convergence	NOUN
fet-26529	244	37	and	and	CCONJ
fet-26529	244	38	overall	overall	ADJ
fet-26529	244	39	performance	performance	NOUN
fet-26529	244	40	of	of	ADP
fet-26529	244	41	the	the	DET
fet-26529	244	42	final	final	ADJ
fet-26529	244	43	models	model	NOUN
fet-26529	244	44	generated	generate	VERB
fet-26529	244	45	for	for	ADP
fet-26529	244	46	small	small	ADJ
fet-26529	244	47	sample	sample	NOUN
fet-26529	244	48	datasets	dataset	NOUN
fet-26529	244	49	,	,	PUNCT
fet-26529	244	50	this	this	DET
fet-26529	244	51	paper	paper	NOUN
fet-26529	244	52	compared	compare	VERB
fet-26529	244	53	mobilenet	mobilenet	NOUN
fet-26529	244	54	and	and	CCONJ
fet-26529	244	55	googlenet	googlenet	NOUN
fet-26529	244	56	.	.	PUNCT
fet-26529	245	1	while	while	SCONJ
fet-26529	245	2	mobilenet	mobilenet	NOUN
fet-26529	245	3	exhibited	exhibit	VERB
fet-26529	245	4	a	a	DET
fet-26529	245	5	slightly	slightly	ADV
fet-26529	245	6	lower	low	ADJ
fet-26529	245	7	rate	rate	NOUN
fet-26529	245	8	of	of	ADP
fet-26529	245	9	convergence	convergence	NOUN
fet-26529	245	10	than	than	ADP
fet-26529	245	11	googlenet	googlenet	NOUN
fet-26529	245	12	,	,	PUNCT
fet-26529	245	13	the	the	DET
fet-26529	245	14	difference	difference	NOUN
fet-26529	245	15	in	in	ADP
fet-26529	245	16	iteration	iteration	NOUN
fet-26529	245	17	algebra	algebra	NOUN
fet-26529	245	18	was	be	AUX
fet-26529	245	19	within	within	ADP
fet-26529	245	20	acceptable	acceptable	ADJ
fet-26529	245	21	limits	limit	NOUN
fet-26529	245	22	.	.	PUNCT
fet-26529	246	1	furthermore	furthermore	ADV
fet-26529	246	2	,	,	PUNCT
fet-26529	246	3	the	the	DET
fet-26529	246	4	loss	loss	NOUN
fet-26529	246	5	function	function	NOUN
fet-26529	246	6	of	of	ADP
fet-26529	246	7	mobilenet	mobilenet	NOUN
fet-26529	246	8	was	be	AUX
fet-26529	246	9	comparatively	comparatively	ADV
fet-26529	246	10	more	more	ADV
fet-26529	246	11	stable	stable	ADJ
fet-26529	246	12	and	and	CCONJ
fet-26529	246	13	the	the	DET
fet-26529	246	14	performance	performance	NOUN
fet-26529	246	15	results	result	NOUN
fet-26529	246	16	were	be	AUX
fet-26529	246	17	optimal	optimal	ADJ
fet-26529	246	18	.	.	PUNCT
fet-26529	247	1	based	base	VERB
fet-26529	247	2	on	on	ADP
fet-26529	247	3	these	these	DET
fet-26529	247	4	observations	observation	NOUN
fet-26529	247	5	,	,	PUNCT
fet-26529	247	6	mobilenet	mobilenet	NOUN
fet-26529	247	7	among	among	ADP
fet-26529	247	8	the	the	DET
fet-26529	247	9	three	three	NUM
fet-26529	247	10	models	model	NOUN
fet-26529	247	11	is	be	AUX
fet-26529	247	12	the	the	DET
fet-26529	247	13	preferred	preferred	ADJ
fet-26529	247	14	option	option	NOUN
fet-26529	247	15	for	for	ADP
fet-26529	247	16	laboratory	laboratory	NOUN
fet-26529	247	17	fire	fire	NOUN
fet-26529	247	18	detection	detection	NOUN
fet-26529	247	19	,	,	PUNCT
fet-26529	247	20	as	as	SCONJ
fet-26529	247	21	it	it	PRON
fet-26529	247	22	is	be	AUX
fet-26529	247	23	capable	capable	ADJ
fet-26529	247	24	of	of	ADP
fet-26529	247	25	obtaining	obtain	VERB
fet-26529	247	26	optimal	optimal	ADJ
fet-26529	247	27	model	model	NOUN
fet-26529	247	28	performance	performance	NOUN
fet-26529	247	29	with	with	ADP
fet-26529	247	30	a	a	DET
fet-26529	247	31	fast	fast	ADJ
fet-26529	247	32	rate	rate	NOUN
fet-26529	247	33	of	of	ADP
fet-26529	247	34	convergence	convergence	NOUN
fet-26529	247	35	.	.	PUNCT
fet-26529	248	1	5	5	X
fet-26529	248	2	.	.	X
fet-26529	248	3	conclusion	conclusion	NOUN
fet-26529	248	4	this	this	DET
fet-26529	248	5	paper	paper	NOUN
fet-26529	248	6	proposes	propose	VERB
fet-26529	248	7	a	a	DET
fet-26529	248	8	laboratory	laboratory	NOUN
fet-26529	248	9	fire	fire	NOUN
fet-26529	248	10	detection	detection	NOUN
fet-26529	248	11	scheme	scheme	NOUN
fet-26529	248	12	that	that	PRON
fet-26529	248	13	combines	combine	VERB
fet-26529	248	14	cnn	cnn	PROPN
fet-26529	248	15	and	and	CCONJ
fet-26529	248	16	transfer	transfer	VERB
fet-26529	248	17	learning	learn	VERB
fet-26529	248	18	to	to	PART
fet-26529	248	19	address	address	VERB
fet-26529	248	20	the	the	DET
fet-26529	248	21	challenge	challenge	NOUN
fet-26529	248	22	of	of	ADP
fet-26529	248	23	training	training	NOUN
fet-26529	248	24	models	model	NOUN
fet-26529	248	25	with	with	ADP
fet-26529	248	26	limited	limited	ADJ
fet-26529	248	27	laboratory	laboratory	NOUN
fet-26529	248	28	fire	fire	NOUN
fet-26529	248	29	images	image	NOUN
fet-26529	248	30	,	,	PUNCT
fet-26529	248	31	which	which	PRON
fet-26529	248	32	may	may	AUX
fet-26529	248	33	lead	lead	VERB
fet-26529	248	34	to	to	ADP
fet-26529	248	35	extended	extend	VERB
fet-26529	248	36	iteration	iteration	NOUN
fet-26529	248	37	times	time	NOUN
fet-26529	248	38	or	or	CCONJ
fet-26529	248	39	even	even	ADV
fet-26529	248	40	model	model	NOUN
fet-26529	248	41	failure	failure	NOUN
fet-26529	248	42	.	.	PUNCT
fet-26529	249	1	to	to	PART
fet-26529	249	2	assess	assess	VERB
fet-26529	249	3	the	the	DET
fet-26529	249	4	efficacy	efficacy	NOUN
fet-26529	249	5	of	of	ADP
fet-26529	249	6	the	the	DET
fet-26529	249	7	scheme	scheme	NOUN
fet-26529	249	8	,	,	PUNCT
fet-26529	249	9	three	three	NUM
fet-26529	249	10	pre	pre	ADJ
fet-26529	249	11	-	-	ADJ
fet-26529	249	12	trained	train	VERB
fet-26529	249	13	cnn	cnn	PROPN
fet-26529	249	14	models	model	NOUN
fet-26529	249	15	:	:	PUNCT
fet-26529	249	16	googlenet	googlenet	NOUN
fet-26529	249	17	,	,	PUNCT
fet-26529	249	18	resnet	resnet	NOUN
fet-26529	249	19	,	,	PUNCT
fet-26529	249	20	and	and	CCONJ
fet-26529	249	21	mobilenet	mobilenet	NOUN
fet-26529	249	22	,	,	PUNCT
fet-26529	249	23	were	be	AUX
fet-26529	249	24	trained	train	VERB
fet-26529	249	25	after	after	ADP
fet-26529	249	26	conducting	conduct	VERB
fet-26529	249	27	gaussian	gaussian	ADJ
fet-26529	249	28	denoising	denoising	NOUN
fet-26529	249	29	and	and	CCONJ
fet-26529	249	30	bilinear	bilinear	ADJ
fet-26529	249	31	interpolation	interpolation	NOUN
fet-26529	249	32	on	on	ADP
fet-26529	249	33	laboratory	laboratory	NOUN
fet-26529	249	34	fire	fire	NOUN
fet-26529	249	35	dataset	dataset	NOUN
fet-26529	249	36	.	.	PUNCT
fet-26529	250	1	the	the	DET
fet-26529	250	2	results	result	NOUN
fet-26529	250	3	of	of	ADP
fet-26529	250	4	the	the	DET
fet-26529	250	5	experiments	experiment	NOUN
fet-26529	250	6	demonstrated	demonstrate	VERB
fet-26529	250	7	that	that	SCONJ
fet-26529	250	8	all	all	DET
fet-26529	250	9	three	three	NUM
fet-26529	250	10	models	model	NOUN
fet-26529	250	11	converged	converge	VERB
fet-26529	250	12	quickly	quickly	ADV
fet-26529	250	13	and	and	CCONJ
fet-26529	250	14	achieved	achieve	VERB
fet-26529	250	15	high	high	ADJ
fet-26529	250	16	recognition	recognition	NOUN
fet-26529	250	17	rates	rate	NOUN
fet-26529	250	18	,	,	PUNCT
fet-26529	250	19	validating	validate	VERB
fet-26529	250	20	the	the	DET
fet-26529	250	21	effectiveness	effectiveness	NOUN
fet-26529	250	22	of	of	ADP
fet-26529	250	23	the	the	DET
fet-26529	250	24	proposed	propose	VERB
fet-26529	250	25	approach	approach	NOUN
fet-26529	250	26	.	.	PUNCT
fet-26529	251	1	after	after	ADP
fet-26529	251	2	analyzing	analyze	VERB
fet-26529	251	3	and	and	CCONJ
fet-26529	251	4	comparing	compare	VERB
fet-26529	251	5	the	the	DET
fet-26529	251	6	rate	rate	NOUN
fet-26529	251	7	of	of	ADP
fet-26529	251	8	convergence	convergence	NOUN
fet-26529	251	9	and	and	CCONJ
fet-26529	251	10	model	model	NOUN
fet-26529	251	11	performance	performance	NOUN
fet-26529	251	12	of	of	ADP
fet-26529	251	13	the	the	DET
fet-26529	251	14	different	different	ADJ
fet-26529	251	15	cnn	cnn	PROPN
fet-26529	251	16	models	model	NOUN
fet-26529	251	17	,	,	PUNCT
fet-26529	251	18	it	it	PRON
fet-26529	251	19	was	be	AUX
fet-26529	251	20	observed	observe	VERB
fet-26529	251	21	that	that	SCONJ
fet-26529	251	22	the	the	DET
fet-26529	251	23	mobilenet	mobilenet	NOUN
fet-26529	251	24	achieved	achieve	VERB
fet-26529	251	25	superior	superior	ADJ
fet-26529	251	26	results	result	NOUN
fet-26529	251	27	for	for	ADP
fet-26529	251	28	laboratory	laboratory	NOUN
fet-26529	251	29	fire	fire	NOUN
fet-26529	251	30	detection	detection	NOUN
fet-26529	251	31	.	.	PUNCT
fet-26529	252	1	therefore	therefore	ADV
fet-26529	252	2	,	,	PUNCT
fet-26529	252	3	it	it	PRON
fet-26529	252	4	can	can	AUX
fet-26529	252	5	be	be	AUX
fet-26529	252	6	concluded	conclude	VERB
fet-26529	252	7	that	that	SCONJ
fet-26529	252	8	the	the	DET
fet-26529	252	9	mobilenet	mobilenet	NOUN
fet-26529	252	10	-	-	PUNCT
fet-26529	252	11	based	base	VERB
fet-26529	252	12	transfer	transfer	NOUN
fet-26529	252	13	learning	learning	NOUN
fet-26529	252	14	model	model	NOUN
fet-26529	252	15	is	be	AUX
fet-26529	252	16	better	well	ADV
fet-26529	252	17	suited	suit	VERB
fet-26529	252	18	for	for	ADP
fet-26529	252	19	laboratory	laboratory	NOUN
fet-26529	252	20	fire	fire	NOUN
fet-26529	252	21	detection	detection	NOUN
fet-26529	252	22	with	with	ADP
fet-26529	252	23	small	small	ADJ
fet-26529	252	24	sample	sample	NOUN
fet-26529	252	25	datasets	dataset	NOUN
fet-26529	252	26	under	under	ADP
fet-26529	252	27	cnn	cnn	PROPN
fet-26529	252	28	while	while	SCONJ
fet-26529	252	29	providing	provide	VERB
fet-26529	252	30	valuable	valuable	ADJ
fet-26529	252	31	insights	insight	NOUN
fet-26529	252	32	for	for	ADP
fet-26529	252	33	improving	improve	VERB
fet-26529	252	34	laboratory	laboratory	NOUN
fet-26529	252	35	safety	safety	NOUN
fet-26529	252	36	through	through	ADP
fet-26529	252	37	the	the	DET
fet-26529	252	38	use	use	NOUN
fet-26529	252	39	of	of	ADP
fet-26529	252	40	neural	neural	ADJ
fet-26529	252	41	networks	network	NOUN
fet-26529	252	42	.	.	PUNCT
fet-26529	253	1	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	253	2	frontiers	frontier	NOUN
fet-26529	253	3	in	in	ADP
fet-26529	253	4	education	education	NOUN
fet-26529	253	5	technology	technology	NOUN
fet-26529	253	6	vol	vol	NOUN
fet-26529	253	7	.	.	PROPN
fet-26529	254	1	6	6	NUM
fet-26529	254	2	,	,	PUNCT
fet-26529	254	3	no	no	INTJ
fet-26529	254	4	.	.	NOUN
fet-26529	254	5	2	2	NUM
fet-26529	254	6	,	,	PUNCT
fet-26529	254	7	2023	2023	NUM
fet-26529	254	8	157	157	NUM
fet-26529	254	9	published	publish	VERB
fet-26529	254	10	by	by	ADP
fet-26529	254	11	scholink	scholink	PROPN
fet-26529	254	12	inc	inc	PROPN
fet-26529	254	13	.	.	PROPN
fet-26529	254	14	references	reference	NOUN
fet-26529	254	15	alzubaidi	alzubaidi	VERB
fet-26529	254	16	,	,	PUNCT
fet-26529	254	17	l.	l.	PROPN
fet-26529	254	18	,	,	PUNCT
fet-26529	254	19	zhang	zhang	PROPN
fet-26529	254	20	,	,	PUNCT
fet-26529	254	21	j.	j.	PROPN
fet-26529	254	22	,	,	PUNCT
fet-26529	254	23	humaidi	humaidi	PROPN
fet-26529	254	24	,	,	PUNCT
fet-26529	254	25	a.	a.	PROPN
fet-26529	254	26	j.	j.	PROPN
fet-26529	254	27	,	,	PUNCT
fet-26529	254	28	al	al	PROPN
fet-26529	254	29	-	-	PUNCT
fet-26529	254	30	dujaili	dujaili	PROPN
fet-26529	254	31	,	,	PUNCT
fet-26529	254	32	a.	a.	PROPN
fet-26529	254	33	,	,	PUNCT
fet-26529	254	34	duan	duan	PROPN
fet-26529	254	35	,	,	PUNCT
fet-26529	254	36	y.	y.	PROPN
fet-26529	254	37	,	,	PUNCT
fet-26529	254	38	al	al	PROPN
fet-26529	254	39	-	-	PUNCT
fet-26529	254	40	shamma	shamma	PROPN
fet-26529	254	41	,	,	PUNCT
fet-26529	254	42	o.	o.	PROPN
fet-26529	254	43	,	,	PUNCT
fet-26529	254	44	...	...	PUNCT
fet-26529	255	1	farhan	farhan	PROPN
fet-26529	255	2	,	,	PUNCT
fet-26529	255	3	l.	l.	PROPN
fet-26529	255	4	(	(	PUNCT
fet-26529	255	5	2021	2021	NUM
fet-26529	255	6	)	)	PUNCT
fet-26529	255	7	.	.	PUNCT
fet-26529	256	1	review	review	NOUN
fet-26529	256	2	of	of	ADP
fet-26529	256	3	deep	deep	ADJ
fet-26529	256	4	learning	learning	NOUN
fet-26529	256	5	:	:	PUNCT
fet-26529	257	1	concepts	concept	NOUN
fet-26529	257	2	,	,	PUNCT
fet-26529	257	3	cnn	cnn	PROPN
fet-26529	257	4	architectures	architecture	NOUN
fet-26529	257	5	,	,	PUNCT
fet-26529	257	6	challenges	challenge	NOUN
fet-26529	257	7	,	,	PUNCT
fet-26529	257	8	applications	application	NOUN
fet-26529	257	9	,	,	PUNCT
fet-26529	257	10	future	future	ADJ
fet-26529	257	11	directions	direction	NOUN
fet-26529	257	12	.	.	PUNCT
fet-26529	258	1	journal	journal	NOUN
fet-26529	258	2	of	of	ADP
fet-26529	258	3	big	big	ADJ
fet-26529	258	4	data	datum	NOUN
fet-26529	258	5	,	,	PUNCT
fet-26529	258	6	8	8	NUM
fet-26529	258	7	,	,	PUNCT
fet-26529	258	8	1	1	NUM
fet-26529	258	9	-	-	SYM
fet-26529	258	10	74	74	NUM
fet-26529	258	11	.	.	PUNCT
fet-26529	259	1	https://doi.org/10.1186/s40537-021-00444-8	https://doi.org/10.1186/s40537-021-00444-8	NUM
fet-26529	259	2	chauhan	chauhan	PROPN
fet-26529	259	3	,	,	PUNCT
fet-26529	259	4	r.	r.	PROPN
fet-26529	259	5	,	,	PUNCT
fet-26529	259	6	ghanshala	ghanshala	PROPN
fet-26529	259	7	,	,	PUNCT
fet-26529	259	8	k.	k.	PROPN
fet-26529	259	9	k.	k.	PROPN
fet-26529	259	10	,	,	PUNCT
fet-26529	259	11	&	&	CCONJ
fet-26529	259	12	joshi	joshi	PROPN
fet-26529	259	13	,	,	PUNCT
fet-26529	259	14	r.	r.	PROPN
fet-26529	259	15	c.	c.	PROPN
fet-26529	259	16	(	(	PUNCT
fet-26529	259	17	2018	2018	NUM
fet-26529	259	18	,	,	PUNCT
fet-26529	259	19	december	december	PROPN
fet-26529	259	20	)	)	PUNCT
fet-26529	259	21	.	.	PUNCT
fet-26529	260	1	convolutional	convolutional	ADJ
fet-26529	260	2	neural	neural	ADJ
fet-26529	260	3	network	network	NOUN
fet-26529	260	4	(	(	PUNCT
fet-26529	260	5	cnn	cnn	PROPN
fet-26529	260	6	)	)	PUNCT
fet-26529	260	7	for	for	ADP
fet-26529	260	8	image	image	NOUN
fet-26529	260	9	detection	detection	NOUN
fet-26529	260	10	and	and	CCONJ
fet-26529	260	11	recognition	recognition	NOUN
fet-26529	260	12	.	.	PUNCT
fet-26529	261	1	in	in	ADP
fet-26529	261	2	2018	2018	NUM
fet-26529	261	3	first	first	ADJ
fet-26529	261	4	international	international	ADJ
fet-26529	261	5	conference	conference	NOUN
fet-26529	261	6	on	on	ADP
fet-26529	261	7	secure	secure	ADJ
fet-26529	261	8	cyber	cyber	NOUN
fet-26529	261	9	computing	computing	NOUN
fet-26529	261	10	and	and	CCONJ
fet-26529	261	11	communication	communication	NOUN
fet-26529	261	12	(	(	PUNCT
fet-26529	261	13	icsccc	icsccc	NOUN
fet-26529	261	14	)	)	PUNCT
fet-26529	261	15	(	(	PUNCT
fet-26529	261	16	pp	pp	X
fet-26529	261	17	.	.	PUNCT
fet-26529	262	1	278	278	NUM
fet-26529	262	2	-	-	SYM
fet-26529	262	3	282	282	NUM
fet-26529	262	4	)	)	PUNCT
fet-26529	262	5	.	.	PUNCT
fet-26529	263	1	ieee	ieee	PROPN
fet-26529	263	2	.	.	PUNCT
fet-26529	264	1	https://doi.org/10.1109/icsccc.2018.8703316	https://doi.org/10.1109/icsccc.2018.8703316	PROPN
fet-26529	264	2	du	du	PROPN
fet-26529	264	3	,	,	PUNCT
fet-26529	264	4	s.	s.	PROPN
fet-26529	264	5	,	,	PUNCT
fet-26529	264	6	ibrahim	ibrahim	PROPN
fet-26529	264	7	,	,	PUNCT
fet-26529	264	8	m.	m.	NOUN
fet-26529	264	9	,	,	PUNCT
fet-26529	264	10	shehata	shehata	NOUN
fet-26529	264	11	,	,	PUNCT
fet-26529	264	12	m.	m.	NOUN
fet-26529	264	13	,	,	PUNCT
fet-26529	264	14	&	&	CCONJ
fet-26529	264	15	badawy	badawy	PROPN
fet-26529	264	16	,	,	PUNCT
fet-26529	264	17	w.	w.	PROPN
fet-26529	264	18	(	(	PUNCT
fet-26529	264	19	2012	2012	NUM
fet-26529	264	20	)	)	PUNCT
fet-26529	264	21	.	.	PUNCT
fet-26529	265	1	automatic	automatic	ADJ
fet-26529	265	2	license	license	NOUN
fet-26529	265	3	plate	plate	NOUN
fet-26529	265	4	recognition	recognition	NOUN
fet-26529	265	5	(	(	PUNCT
fet-26529	265	6	alpr	alpr	PROPN
fet-26529	265	7	):	):	PUNCT
fet-26529	265	8	a	a	DET
fet-26529	265	9	state	state	NOUN
fet-26529	265	10	-	-	PUNCT
fet-26529	265	11	of	of	ADP
fet-26529	265	12	-	-	PUNCT
fet-26529	265	13	the	the	DET
fet-26529	265	14	-	-	PUNCT
fet-26529	265	15	art	art	NOUN
fet-26529	265	16	review	review	NOUN
fet-26529	265	17	.	.	PUNCT
fet-26529	266	1	ieee	ieee	NOUN
fet-26529	266	2	transactions	transaction	NOUN
fet-26529	266	3	on	on	ADP
fet-26529	266	4	circuits	circuit	NOUN
fet-26529	266	5	and	and	CCONJ
fet-26529	266	6	systems	system	NOUN
fet-26529	266	7	for	for	ADP
fet-26529	266	8	video	video	NOUN
fet-26529	266	9	technology	technology	NOUN
fet-26529	266	10	,	,	PUNCT
fet-26529	266	11	23(2	23(2	NOUN
fet-26529	266	12	)	)	PUNCT
fet-26529	266	13	,	,	PUNCT
fet-26529	266	14	311	311	NUM
fet-26529	266	15	-	-	SYM
fet-26529	266	16	325	325	NUM
fet-26529	266	17	.	.	PUNCT
fet-26529	267	1	https://doi.org/10.1109/tcsvt.2012.2203741	https://doi.org/10.1109/tcsvt.2012.2203741	PROPN
fet-26529	267	2	dupuy	dupuy	PROPN
fet-26529	267	3	,	,	PUNCT
fet-26529	267	4	j.	j.	PROPN
fet-26529	267	5	l.	l.	PROPN
fet-26529	267	6	,	,	PUNCT
fet-26529	267	7	&	&	CCONJ
fet-26529	267	8	maréchal	maréchal	PROPN
fet-26529	267	9	,	,	PUNCT
fet-26529	267	10	j.	j.	PROPN
fet-26529	267	11	(	(	PUNCT
fet-26529	267	12	2011	2011	NUM
fet-26529	267	13	)	)	PUNCT
fet-26529	267	14	.	.	PUNCT
fet-26529	268	1	slope	slope	NOUN
fet-26529	268	2	effect	effect	NOUN
fet-26529	268	3	on	on	ADP
fet-26529	268	4	laboratory	laboratory	NOUN
fet-26529	268	5	fire	fire	NOUN
fet-26529	268	6	spread	spread	NOUN
fet-26529	268	7	:	:	PUNCT
fet-26529	268	8	contribution	contribution	NOUN
fet-26529	268	9	of	of	ADP
fet-26529	268	10	radiation	radiation	NOUN
fet-26529	268	11	and	and	CCONJ
fet-26529	268	12	convection	convection	NOUN
fet-26529	268	13	to	to	PART
fet-26529	268	14	fuel	fuel	VERB
fet-26529	268	15	bed	bed	NOUN
fet-26529	268	16	preheating	preheating	NOUN
fet-26529	268	17	.	.	PUNCT
fet-26529	269	1	international	international	ADJ
fet-26529	269	2	journal	journal	PROPN
fet-26529	269	3	of	of	ADP
fet-26529	269	4	wildland	wildland	PROPN
fet-26529	269	5	fire	fire	NOUN
fet-26529	269	6	,	,	PUNCT
fet-26529	269	7	20(2	20(2	NUM
fet-26529	269	8	)	)	PUNCT
fet-26529	269	9	,	,	PUNCT
fet-26529	269	10	289	289	NUM
fet-26529	269	11	-	-	SYM
fet-26529	269	12	307	307	NUM
fet-26529	269	13	.	.	PUNCT
fet-26529	270	1	https://doi.org/10.1071/wf09076	https://doi.org/10.1071/wf09076	VERB
fet-26529	270	2	gray	gray	ADJ
fet-26529	270	3	,	,	PUNCT
fet-26529	270	4	d.	d.	PROPN
fet-26529	270	5	(	(	PUNCT
fet-26529	270	6	2003	2003	NUM
fet-26529	270	7	)	)	PUNCT
fet-26529	270	8	.	.	PUNCT
fet-26529	271	1	automatic	automatic	ADJ
fet-26529	271	2	fire	fire	NOUN
fet-26529	271	3	suppression	suppression	NOUN
fet-26529	271	4	for	for	ADP
fet-26529	271	5	fume	fume	NOUN
fet-26529	271	6	hoods	hood	NOUN
fet-26529	271	7	promotes	promote	VERB
fet-26529	271	8	laboratory	laboratory	NOUN
fet-26529	271	9	safety	safety	NOUN
fet-26529	271	10	.	.	PUNCT
fet-26529	272	1	research	research	NOUN
fet-26529	272	2	&	&	CCONJ
fet-26529	272	3	development	development	PROPN
fet-26529	272	4	,	,	PUNCT
fet-26529	272	5	45(5	45(5	PROPN
fet-26529	272	6	)	)	PUNCT
fet-26529	272	7	,	,	PUNCT
fet-26529	272	8	47	47	NUM
fet-26529	272	9	.	.	PUNCT
fet-26529	273	1	he	he	PRON
fet-26529	273	2	,	,	PUNCT
fet-26529	273	3	k.	k.	PROPN
fet-26529	273	4	,	,	PUNCT
fet-26529	273	5	zhang	zhang	PROPN
fet-26529	273	6	,	,	PUNCT
fet-26529	273	7	x.	x.	PROPN
fet-26529	273	8	,	,	PUNCT
fet-26529	273	9	ren	ren	PROPN
fet-26529	273	10	,	,	PUNCT
fet-26529	273	11	s.	s.	PROPN
fet-26529	273	12	,	,	PUNCT
fet-26529	273	13	et	et	PROPN
fet-26529	273	14	al	al	PROPN
fet-26529	273	15	.	.	PUNCT
fet-26529	273	16	(	(	PUNCT
fet-26529	273	17	2016	2016	NUM
fet-26529	273	18	)	)	PUNCT
fet-26529	273	19	.	.	PUNCT
fet-26529	274	1	deep	deep	ADJ
fet-26529	274	2	residual	residual	ADJ
fet-26529	274	3	learning	learning	NOUN
fet-26529	274	4	for	for	ADP
fet-26529	274	5	image	image	NOUN
fet-26529	274	6	recognition[c]//proceedings	recognition[c]//proceeding	NOUN
fet-26529	274	7	of	of	ADP
fet-26529	274	8	the	the	DET
fet-26529	274	9	ieee	ieee	NOUN
fet-26529	274	10	conference	conference	NOUN
fet-26529	274	11	on	on	ADP
fet-26529	274	12	computer	computer	NOUN
fet-26529	274	13	vision	vision	NOUN
fet-26529	274	14	and	and	CCONJ
fet-26529	274	15	pattern	pattern	NOUN
fet-26529	274	16	recognition	recognition	NOUN
fet-26529	274	17	(	(	PUNCT
fet-26529	274	18	pp	pp	ADJ
fet-26529	274	19	.	.	PUNCT
fet-26529	275	1	770	770	NUM
fet-26529	275	2	-	-	SYM
fet-26529	275	3	778	778	NUM
fet-26529	275	4	)	)	PUNCT
fet-26529	275	5	.	.	PUNCT
fet-26529	276	1	https://doi.org/10.1109/cvpr.2016.90	https://doi.org/10.1109/cvpr.2016.90	PROPN
fet-26529	276	2	howard	howard	PROPN
fet-26529	276	3	,	,	PUNCT
fet-26529	276	4	a.	a.	PROPN
fet-26529	276	5	g.	g.	PROPN
fet-26529	276	6	,	,	PUNCT
fet-26529	276	7	zhu	zhu	PROPN
fet-26529	276	8	,	,	PUNCT
fet-26529	276	9	m.	m.	NOUN
fet-26529	276	10	,	,	PUNCT
fet-26529	276	11	chen	chen	PROPN
fet-26529	276	12	,	,	PUNCT
fet-26529	276	13	b.	b.	PROPN
fet-26529	276	14	et	et	PROPN
fet-26529	276	15	al	al	PROPN
fet-26529	276	16	.	.	PROPN
fet-26529	276	17	(	(	PUNCT
fet-26529	276	18	2017	2017	NUM
fet-26529	276	19	)	)	PUNCT
fet-26529	276	20	.	.	PUNCT
fet-26529	277	1	mobilenets	mobilenet	NOUN
fet-26529	277	2	:	:	PUNCT
fet-26529	277	3	efficient	efficient	ADJ
fet-26529	277	4	convolutional	convolutional	ADJ
fet-26529	277	5	neural	neural	ADJ
fet-26529	277	6	networks	network	NOUN
fet-26529	277	7	for	for	ADP
fet-26529	277	8	mobile	mobile	ADJ
fet-26529	277	9	vision	vision	NOUN
fet-26529	277	10	applications	application	NOUN
fet-26529	277	11	.	.	PUNCT
fet-26529	278	1	kaur	kaur	PROPN
fet-26529	278	2	,	,	PUNCT
fet-26529	278	3	g.	g.	PROPN
fet-26529	278	4	,	,	PUNCT
fet-26529	278	5	sinha	sinha	PROPN
fet-26529	278	6	,	,	PUNCT
fet-26529	278	7	r.	r.	PROPN
fet-26529	278	8	,	,	PUNCT
fet-26529	278	9	tiwari	tiwari	PROPN
fet-26529	278	10	,	,	PUNCT
fet-26529	278	11	p.	p.	PROPN
fet-26529	278	12	k.	k.	PROPN
fet-26529	278	13	,	,	PUNCT
fet-26529	278	14	yadav	yadav	PROPN
fet-26529	278	15	,	,	PUNCT
fet-26529	278	16	s.	s.	PROPN
fet-26529	278	17	k.	k.	PROPN
fet-26529	278	18	,	,	PUNCT
fet-26529	278	19	pandey	pandey	PROPN
fet-26529	278	20	,	,	PUNCT
fet-26529	278	21	p.	p.	PROPN
fet-26529	278	22	,	,	PUNCT
fet-26529	278	23	raj	raj	PROPN
fet-26529	278	24	,	,	PUNCT
fet-26529	278	25	r.	r.	PROPN
fet-26529	278	26	,	,	PUNCT
fet-26529	278	27	...	...	PUNCT
fet-26529	279	1	rakhra	rakhra	ADJ
fet-26529	279	2	,	,	PUNCT
fet-26529	279	3	m.	m.	NOUN
fet-26529	279	4	(	(	PUNCT
fet-26529	279	5	2022	2022	NUM
fet-26529	279	6	)	)	PUNCT
fet-26529	279	7	.	.	PUNCT
fet-26529	280	1	face	face	NOUN
fet-26529	280	2	mask	mask	NOUN
fet-26529	280	3	recognition	recognition	NOUN
fet-26529	280	4	system	system	NOUN
fet-26529	280	5	using	use	VERB
fet-26529	280	6	cnn	cnn	PROPN
fet-26529	280	7	model	model	NOUN
fet-26529	280	8	.	.	PUNCT
fet-26529	281	1	neuroscience	neuroscience	NOUN
fet-26529	281	2	informatics	informatics	PROPN
fet-26529	281	3	,	,	PUNCT
fet-26529	281	4	2(3	2(3	NUM
fet-26529	281	5	)	)	PUNCT
fet-26529	281	6	,	,	PUNCT
fet-26529	281	7	100035	100035	NUM
fet-26529	281	8	.	.	PUNCT
fet-26529	282	1	https://doi.org/10.1016/j.neuri.2021.100035	https://doi.org/10.1016/j.neuri.2021.100035	PROPN
fet-26529	282	2	raji	raji	PROPN
fet-26529	282	3	,	,	PUNCT
fet-26529	282	4	i.	i.	PROPN
fet-26529	282	5	d.	d.	PROPN
fet-26529	282	6	,	,	PUNCT
fet-26529	282	7	&	&	CCONJ
fet-26529	282	8	fried	fried	PROPN
fet-26529	282	9	,	,	PUNCT
fet-26529	282	10	g.	g.	PROPN
fet-26529	282	11	(	(	PUNCT
fet-26529	282	12	2021	2021	NUM
fet-26529	282	13	)	)	PUNCT
fet-26529	282	14	.	.	PUNCT
fet-26529	283	1	about	about	ADP
fet-26529	283	2	face	face	NOUN
fet-26529	283	3	:	:	PUNCT
fet-26529	283	4	a	a	DET
fet-26529	283	5	survey	survey	NOUN
fet-26529	283	6	of	of	ADP
fet-26529	283	7	facial	facial	ADJ
fet-26529	283	8	recognition	recognition	NOUN
fet-26529	283	9	evaluation	evaluation	NOUN
fet-26529	283	10	.	.	PUNCT
fet-26529	284	1	arxiv	arxiv	PROPN
fet-26529	284	2	preprint	preprint	VERB
fet-26529	284	3	arxiv:2102.00813	arxiv:2102.00813	PROPN
fet-26529	284	4	.	.	PUNCT
fet-26529	285	1	sandler	sandler	PROPN
fet-26529	285	2	,	,	PUNCT
fet-26529	285	3	m.	m.	NOUN
fet-26529	285	4	,	,	PUNCT
fet-26529	285	5	howard	howard	PROPN
fet-26529	285	6	,	,	PUNCT
fet-26529	285	7	a.	a.	PROPN
fet-26529	285	8	,	,	PUNCT
fet-26529	285	9	zhu	zhu	PROPN
fet-26529	285	10	m.	m.	NOUN
fet-26529	285	11	,	,	PUNCT
fet-26529	285	12	et	et	PROPN
fet-26529	285	13	al	al	PROPN
fet-26529	285	14	.	.	PUNCT
fet-26529	285	15	(	(	PUNCT
fet-26529	285	16	2018	2018	NUM
fet-26529	285	17	)	)	PUNCT
fet-26529	285	18	.	.	PUNCT
fet-26529	286	1	mobilenetv2	mobilenetv2	NOUN
fet-26529	286	2	:	:	PUNCT
fet-26529	286	3	inverted	inverted	ADJ
fet-26529	286	4	residuals	residual	NOUN
fet-26529	286	5	and	and	CCONJ
fet-26529	286	6	linear	linear	ADJ
fet-26529	286	7	bottlenecks	bottleneck	NOUN
fet-26529	286	8	.	.	PUNCT
fet-26529	287	1	ieee	ieee	NOUN
fet-26529	287	2	.	.	PUNCT
fet-26529	288	1	https://doi.org/10.1109/cvpr.2018.00474	https://doi.org/10.1109/cvpr.2018.00474	PROPN
fet-26529	288	2	silva	silva	PROPN
fet-26529	288	3	,	,	PUNCT
fet-26529	288	4	b.	b.	PROPN
fet-26529	288	5	n.	n.	PROPN
fet-26529	288	6	,	,	PUNCT
fet-26529	288	7	khan	khan	PROPN
fet-26529	288	8	,	,	PUNCT
fet-26529	288	9	m.	m.	NOUN
fet-26529	288	10	,	,	PUNCT
fet-26529	288	11	&	&	CCONJ
fet-26529	288	12	han	han	PROPN
fet-26529	288	13	,	,	PUNCT
fet-26529	288	14	k.	k.	PROPN
fet-26529	288	15	(	(	PUNCT
fet-26529	288	16	2018	2018	NUM
fet-26529	288	17	)	)	PUNCT
fet-26529	288	18	.	.	PUNCT
fet-26529	289	1	towards	towards	ADP
fet-26529	289	2	sustainable	sustainable	ADJ
fet-26529	289	3	smart	smart	ADJ
fet-26529	289	4	cities	city	NOUN
fet-26529	289	5	:	:	PUNCT
fet-26529	289	6	a	a	DET
fet-26529	289	7	review	review	NOUN
fet-26529	289	8	of	of	ADP
fet-26529	289	9	trends	trend	NOUN
fet-26529	289	10	,	,	PUNCT
fet-26529	289	11	architectures	architecture	NOUN
fet-26529	289	12	,	,	PUNCT
fet-26529	289	13	components	component	NOUN
fet-26529	289	14	,	,	PUNCT
fet-26529	289	15	and	and	CCONJ
fet-26529	289	16	open	open	ADJ
fet-26529	289	17	challenges	challenge	NOUN
fet-26529	289	18	in	in	ADP
fet-26529	289	19	smart	smart	ADJ
fet-26529	289	20	cities	city	NOUN
fet-26529	289	21	.	.	PUNCT
fet-26529	290	1	sustainable	sustainable	ADJ
fet-26529	290	2	cities	city	NOUN
fet-26529	290	3	and	and	CCONJ
fet-26529	290	4	society	society	NOUN
fet-26529	290	5	,	,	PUNCT
fet-26529	290	6	38	38	NUM
fet-26529	290	7	,	,	PUNCT
fet-26529	290	8	697	697	NUM
fet-26529	290	9	-	-	SYM
fet-26529	290	10	713	713	NUM
fet-26529	290	11	.	.	PUNCT
fet-26529	291	1	https://doi.org/10.1016/j.scs.2018.01.053	https://doi.org/10.1016/j.scs.2018.01.053	VERB
fet-26529	291	2	szegedy	szegedy	PROPN
fet-26529	291	3	,	,	PUNCT
fet-26529	291	4	c.	c.	PROPN
fet-26529	291	5	,	,	PUNCT
fet-26529	291	6	liu	liu	PROPN
fet-26529	291	7	,	,	PUNCT
fet-26529	291	8	w.	w.	PROPN
fet-26529	291	9	,	,	PUNCT
fet-26529	291	10	jia	jia	PROPN
fet-26529	291	11	,	,	PUNCT
fet-26529	291	12	y.	y.	PROPN
fet-26529	291	13	,	,	PUNCT
fet-26529	291	14	et	et	PROPN
fet-26529	291	15	al	al	PROPN
fet-26529	291	16	.	.	PUNCT
fet-26529	291	17	(	(	PUNCT
fet-26529	291	18	2015	2015	NUM
fet-26529	291	19	)	)	PUNCT
fet-26529	291	20	.	.	PUNCT
fet-26529	292	1	going	go	VERB
fet-26529	292	2	deeper	deeply	ADV
fet-26529	292	3	with	with	ADP
fet-26529	292	4	convolutions[c]//proceedings	convolutions[c]//proceeding	NOUN
fet-26529	292	5	of	of	ADP
fet-26529	292	6	the	the	DET
fet-26529	292	7	ieee	ieee	NOUN
fet-26529	292	8	conference	conference	NOUN
fet-26529	292	9	on	on	ADP
fet-26529	292	10	computer	computer	NOUN
fet-26529	292	11	vision	vision	NOUN
fet-26529	292	12	and	and	CCONJ
fet-26529	292	13	pattern	pattern	NOUN
fet-26529	292	14	recognition	recognition	NOUN
fet-26529	292	15	(	(	PUNCT
fet-26529	292	16	pp	pp	ADJ
fet-26529	292	17	.	.	PUNCT
fet-26529	293	1	1	1	NUM
fet-26529	293	2	-	-	SYM
fet-26529	293	3	9	9	NUM
fet-26529	293	4	)	)	PUNCT
fet-26529	293	5	.	.	PUNCT
fet-26529	294	1	https://doi.org/10.1109/cvpr.2015.7298594	https://doi.org/10.1109/cvpr.2015.7298594	PROPN
fet-26529	294	2	torrey	torrey	PROPN
fet-26529	294	3	,	,	PUNCT
fet-26529	294	4	l.	l.	PROPN
fet-26529	294	5	,	,	PUNCT
fet-26529	294	6	&	&	CCONJ
fet-26529	294	7	shavlik	shavlik	PROPN
fet-26529	294	8	,	,	PUNCT
fet-26529	294	9	j.	j.	PROPN
fet-26529	294	10	(	(	PUNCT
fet-26529	294	11	2010	2010	NUM
fet-26529	294	12	)	)	PUNCT
fet-26529	294	13	.	.	PUNCT
fet-26529	295	1	transfer	transfer	NOUN
fet-26529	295	2	learning	learning	NOUN
fet-26529	295	3	.	.	PUNCT
fet-26529	296	1	in	in	ADP
fet-26529	296	2	handbook	handbook	NOUN
fet-26529	296	3	of	of	ADP
fet-26529	296	4	research	research	NOUN
fet-26529	296	5	on	on	ADP
fet-26529	296	6	machine	machine	NOUN
fet-26529	296	7	learning	learn	VERB
fet-26529	296	8	applications	application	NOUN
fet-26529	296	9	and	and	CCONJ
fet-26529	296	10	trends	trend	NOUN
fet-26529	296	11	:	:	PUNCT
fet-26529	296	12	algorithms	algorithm	NOUN
fet-26529	296	13	,	,	PUNCT
fet-26529	296	14	methods	method	NOUN
fet-26529	296	15	,	,	PUNCT
fet-26529	296	16	and	and	CCONJ
fet-26529	296	17	techniques	technique	NOUN
fet-26529	296	18	(	(	PUNCT
fet-26529	296	19	pp	pp	ADJ
fet-26529	296	20	.	.	PUNCT
fet-26529	296	21	242	242	NUM
fet-26529	296	22	-	-	SYM
fet-26529	296	23	264	264	NUM
fet-26529	296	24	)	)	PUNCT
fet-26529	296	25	.	.	PUNCT
fet-26529	297	1	igi	igi	PROPN
fet-26529	297	2	global	global	PROPN
fet-26529	297	3	.	.	PUNCT
fet-26529	298	1	https://doi.org/10.4018/978-1-60566-766-9.ch011	https://doi.org/10.4018/978-1-60566-766-9.ch011	PRON
fet-26529	298	2	https://doi.org/10.1186/s40537-021-00444-8	https://doi.org/10.1186/s40537-021-00444-8	VERB
fet-26529	298	3	https://doi.org/10.1109/icsccc.2018.8703316	https://doi.org/10.1109/icsccc.2018.8703316	PROPN
fet-26529	298	4	https://doi.org/10.1109/tcsvt.2012.2203741	https://doi.org/10.1109/tcsvt.2012.2203741	PROPN
fet-26529	298	5	https://doi.org/10.1071/wf09076	https://doi.org/10.1071/wf09076	PROPN
fet-26529	298	6	https://doi.org/10.1109/cvpr.2016.90	https://doi.org/10.1109/cvpr.2016.90	PROPN
fet-26529	298	7	https://doi.org/10.1016/j.neuri.2021.100035	https://doi.org/10.1016/j.neuri.2021.100035	PROPN
fet-26529	298	8	https://doi.org/10.1109/cvpr.2018.00474	https://doi.org/10.1109/cvpr.2018.00474	PROPN
fet-26529	298	9	https://doi.org/10.1016/j.scs.2018.01.053	https://doi.org/10.1016/j.scs.2018.01.053	VERB
fet-26529	298	10	https://doi.org/10.1109/cvpr.2015.7298594	https://doi.org/10.1109/cvpr.2015.7298594	PROPN
fet-26529	298	11	https://doi.org/10.4018/978-1-60566-766-9.ch011	https://doi.org/10.4018/978-1-60566-766-9.ch011	PRON
fet-26529	298	12	www.scholink.org/ojs/index.php/fet	www.scholink.org/ojs/index.php/fet	PROPN
fet-26529	298	13	frontiers	frontier	NOUN
fet-26529	298	14	in	in	ADP
fet-26529	298	15	education	education	NOUN
fet-26529	298	16	technology	technology	NOUN
fet-26529	298	17	vol	vol	NOUN
fet-26529	298	18	.	.	PROPN
fet-26529	299	1	6	6	NUM
fet-26529	299	2	,	,	PUNCT
fet-26529	299	3	no	no	INTJ
fet-26529	299	4	.	.	NOUN
fet-26529	299	5	2	2	NUM
fet-26529	299	6	,	,	PUNCT
fet-26529	299	7	2023	2023	NUM
fet-26529	299	8	158	158	NUM
fet-26529	299	9	published	publish	VERB
fet-26529	299	10	by	by	ADP
fet-26529	299	11	scholink	scholink	PROPN
fet-26529	299	12	inc	inc	PROPN
fet-26529	299	13	.	.	PROPN
fet-26529	299	14	weiss	weiss	PROPN
fet-26529	299	15	,	,	PUNCT
fet-26529	299	16	k.	k.	PROPN
fet-26529	299	17	,	,	PUNCT
fet-26529	299	18	khoshgoftaar	khoshgoftaar	PROPN
fet-26529	299	19	,	,	PUNCT
fet-26529	299	20	t.	t.	NOUN
fet-26529	299	21	m.	m.	NOUN
fet-26529	299	22	,	,	PUNCT
fet-26529	299	23	&	&	CCONJ
fet-26529	299	24	wang	wang	PROPN
fet-26529	299	25	,	,	PUNCT
fet-26529	299	26	d.	d.	PROPN
fet-26529	299	27	(	(	PUNCT
fet-26529	299	28	2016	2016	NUM
fet-26529	299	29	)	)	PUNCT
fet-26529	299	30	.	.	PUNCT
fet-26529	300	1	a	a	DET
fet-26529	300	2	survey	survey	NOUN
fet-26529	300	3	of	of	ADP
fet-26529	300	4	transfer	transfer	NOUN
fet-26529	300	5	learning	learning	NOUN
fet-26529	300	6	.	.	PUNCT
fet-26529	301	1	journal	journal	PROPN
fet-26529	301	2	of	of	ADP
fet-26529	301	3	big	big	ADJ
fet-26529	301	4	data	datum	NOUN
fet-26529	301	5	,	,	PUNCT
fet-26529	301	6	3(1	3(1	NUM
fet-26529	301	7	)	)	PUNCT
fet-26529	301	8	,	,	PUNCT
fet-26529	301	9	1	1	NUM
fet-26529	301	10	-	-	SYM
fet-26529	301	11	40	40	NUM
fet-26529	301	12	.	.	PUNCT
fet-26529	302	1	https://doi.org/10.1186/s40537-016-0043-6	https://doi.org/10.1186/s40537-016-0043-6	PROPN
fet-26529	302	2	wilbraham	wilbraham	PROPN
fet-26529	302	3	,	,	PUNCT
fet-26529	302	4	a.	a.	PROPN
fet-26529	302	5	c.	c.	PROPN
fet-26529	302	6	(	(	PUNCT
fet-26529	302	7	1979	1979	NUM
fet-26529	302	8	)	)	PUNCT
fet-26529	302	9	.	.	PUNCT
fet-26529	303	1	safety	safety	NOUN
fet-26529	303	2	in	in	ADP
fet-26529	303	3	the	the	DET
fet-26529	303	4	chemical	chemical	NOUN
fet-26529	303	5	laboratory	laboratory	NOUN
fet-26529	303	6	:	:	PUNCT
fet-26529	303	7	fire	fire	NOUN
fet-26529	303	8	safety	safety	NOUN
fet-26529	303	9	and	and	CCONJ
fet-26529	303	10	fire	fire	NOUN
fet-26529	303	11	control	control	NOUN
fet-26529	303	12	in	in	ADP
fet-26529	303	13	the	the	DET
fet-26529	303	14	chemistry	chemistry	NOUN
fet-26529	303	15	laboratory	laboratory	NOUN
fet-26529	303	16	.	.	PUNCT
fet-26529	304	1	journal	journal	PROPN
fet-26529	304	2	of	of	ADP
fet-26529	304	3	chemical	chemical	PROPN
fet-26529	304	4	education	education	NOUN
fet-26529	304	5	,	,	PUNCT
fet-26529	304	6	56	56	NUM
fet-26529	304	7	,	,	PUNCT
fet-26529	304	8	n	n	CCONJ
fet-26529	304	9	/	/	SYM
fet-26529	304	10	a.	a.	NOUN
fet-26529	304	11	https://doi.org/10.1021/ed056pa311	https://doi.org/10.1021/ed056pa311	PROPN
fet-26529	305	1	zhuang	zhuang	PROPN
fet-26529	305	2	,	,	PUNCT
fet-26529	305	3	f.	f.	PROPN
fet-26529	305	4	,	,	PUNCT
fet-26529	305	5	qi	qi	PROPN
fet-26529	305	6	,	,	PUNCT
fet-26529	305	7	z.	z.	PROPN
fet-26529	305	8	,	,	PUNCT
fet-26529	305	9	duan	duan	PROPN
fet-26529	305	10	,	,	PUNCT
fet-26529	305	11	k.	k.	PROPN
fet-26529	305	12	,	,	PUNCT
fet-26529	305	13	xi	xi	PROPN
fet-26529	305	14	,	,	PUNCT
fet-26529	305	15	d.	d.	PROPN
fet-26529	305	16	,	,	PUNCT
fet-26529	305	17	zhu	zhu	PROPN
fet-26529	305	18	,	,	PUNCT
fet-26529	305	19	y.	y.	PROPN
fet-26529	305	20	,	,	PUNCT
fet-26529	305	21	zhu	zhu	PROPN
fet-26529	305	22	,	,	PUNCT
fet-26529	305	23	h.	h.	PROPN
fet-26529	305	24	,	,	PUNCT
fet-26529	305	25	...	...	PUNCT
fet-26529	306	1	he	he	PRON
fet-26529	306	2	,	,	PUNCT
fet-26529	306	3	q.	q.	PROPN
fet-26529	306	4	(	(	PUNCT
fet-26529	306	5	2020	2020	NUM
fet-26529	306	6	)	)	PUNCT
fet-26529	306	7	.	.	PUNCT
fet-26529	307	1	a	a	DET
fet-26529	307	2	comprehensive	comprehensive	ADJ
fet-26529	307	3	survey	survey	NOUN
fet-26529	307	4	on	on	ADP
fet-26529	307	5	transfer	transfer	NOUN
fet-26529	307	6	learning	learning	NOUN
fet-26529	307	7	.	.	PUNCT
fet-26529	308	1	proceedings	proceeding	NOUN
fet-26529	308	2	of	of	ADP
fet-26529	308	3	the	the	DET
fet-26529	308	4	ieee	ieee	NOUN
fet-26529	308	5	,	,	PUNCT
fet-26529	308	6	109(1	109(1	NUM
fet-26529	308	7	)	)	PUNCT
fet-26529	308	8	,	,	PUNCT
fet-26529	308	9	43	43	NUM
fet-26529	308	10	-	-	SYM
fet-26529	308	11	76	76	NUM
fet-26529	308	12	.	.	PUNCT
fet-26529	309	1	https://doi.org/10.1109/jproc.2020.3004555	https://doi.org/10.1109/jproc.2020.3004555	PROPN
fet-26529	309	2	https://doi.org/10.1186/s40537-016-0043-6	https://doi.org/10.1186/s40537-016-0043-6	X
fet-26529	309	3	https://doi.org/10.1021/ed056pa311	https://doi.org/10.1021/ed056pa311	VERB
fet-26529	309	4	https://doi.org/10.1109/jproc.2020.3004555	https://doi.org/10.1109/jproc.2020.3004555	PROPN