id	sid	tid	token	lemma	pos
ijassa-1412	1	1	microsoft	microsoft	PROPN
ijassa-1412	1	2	word	word	NOUN
ijassa-1412	1	3	revised	revise	VERB
ijassa-1412	1	4	paper	paper	NOUN
ijassa-1412	1	5	final	final	ADJ
ijassa-1412	1	6	adv	adv	PROPN
ijassa-1412	1	7	syst	syst	PROPN
ijassa-1412	1	8	sci	sci	PROPN
ijassa-1412	1	9	appl	appl	PROPN
ijassa-1412	1	10	2024	2024	NUM
ijassa-1412	1	11	;	;	PUNCT
ijassa-1412	1	12	01	01	NUM
ijassa-1412	1	13	;	;	PUNCT
ijassa-1412	1	14	129	129	NUM
ijassa-1412	1	15	-	-	SYM
ijassa-1412	1	16	141	141	NUM
ijassa-1412	1	17	published	publish	VERB
ijassa-1412	1	18	online	online	ADV
ijassa-1412	1	19	at	at	ADP
ijassa-1412	1	20	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADJ
ijassa-1412	1	21	.	.	PUNCT
ijassa-1412	2	1	vision	vision	NOUN
ijassa-1412	2	2	based	base	VERB
ijassa-1412	2	3	classification	classification	NOUN
ijassa-1412	2	4	of	of	ADP
ijassa-1412	2	5	nocturnal	nocturnal	ADJ
ijassa-1412	2	6	road	road	NOUN
ijassa-1412	2	7	traffic	traffic	NOUN
ijassa-1412	2	8	using	use	VERB
ijassa-1412	2	9	a	a	DET
ijassa-1412	2	10	custom	custom	NOUN
ijassa-1412	2	11	deep	deep	ADJ
ijassa-1412	2	12	convolution	convolution	NOUN
ijassa-1412	2	13	neural	neural	ADJ
ijassa-1412	2	14	network	network	NOUN
ijassa-1412	2	15	sofiane	sofiane	NOUN
ijassa-1412	2	16	abdelkrim	abdelkrim	ADP
ijassa-1412	2	17	khalladi1	khalladi1	PROPN
ijassa-1412	2	18	*	*	PUNCT
ijassa-1412	2	19	,	,	PUNCT
ijassa-1412	2	20	asmâa	asmâa	PROPN
ijassa-1412	2	21	ouessai1,2	ouessai1,2	PROPN
ijassa-1412	2	22	,	,	PUNCT
ijassa-1412	2	23	mokhtar	mokhtar	PROPN
ijassa-1412	2	24	keche1	keche1	PROPN
ijassa-1412	2	25	1	1	NUM
ijassa-1412	2	26	)	)	PUNCT
ijassa-1412	2	27	signals	signal	NOUN
ijassa-1412	2	28	and	and	CCONJ
ijassa-1412	2	29	images	image	VERB
ijassa-1412	2	30	laboratory	laboratory	NOUN
ijassa-1412	2	31	,	,	PUNCT
ijassa-1412	2	32	faculty	faculty	NOUN
ijassa-1412	2	33	of	of	ADP
ijassa-1412	2	34	electrical	electrical	ADJ
ijassa-1412	2	35	engineering	engineering	NOUN
ijassa-1412	2	36	,	,	PUNCT
ijassa-1412	2	37	department	department	NOUN
ijassa-1412	2	38	of	of	ADP
ijassa-1412	2	39	electronics	electronic	NOUN
ijassa-1412	2	40	,	,	PUNCT
ijassa-1412	2	41	university	university	NOUN
ijassa-1412	2	42	of	of	ADP
ijassa-1412	2	43	sciences	science	NOUN
ijassa-1412	2	44	and	and	CCONJ
ijassa-1412	2	45	technology	technology	NOUN
ijassa-1412	2	46	of	of	ADP
ijassa-1412	2	47	oran	oran	ADJ
ijassa-1412	2	48	mohamed	mohamed	PROPN
ijassa-1412	2	49	boudiaf	boudiaf	PROPN
ijassa-1412	2	50	usto	usto	PROPN
ijassa-1412	2	51	-	-	PUNCT
ijassa-1412	2	52	mb	mb	NOUN
ijassa-1412	2	53	,	,	PUNCT
ijassa-1412	2	54	b.p	b.p	PROPN
ijassa-1412	2	55	.	.	PROPN
ijassa-1412	2	56	1505	1505	NUM
ijassa-1412	2	57	,	,	PUNCT
ijassa-1412	2	58	el	el	PROPN
ijassa-1412	2	59	mnaouar	mnaouar	PROPN
ijassa-1412	2	60	-	-	PUNCT
ijassa-1412	2	61	bir	bir	PROPN
ijassa-1412	2	62	el	el	PROPN
ijassa-1412	2	63	djir	djir	PROPN
ijassa-1412	2	64	-	-	PUNCT
ijassa-1412	2	65	oran	oran	NOUN
ijassa-1412	2	66	,	,	PUNCT
ijassa-1412	2	67	algeria	algeria	PROPN
ijassa-1412	2	68	2	2	NUM
ijassa-1412	2	69	)	)	PUNCT
ijassa-1412	2	70	faculty	faculty	NOUN
ijassa-1412	2	71	of	of	ADP
ijassa-1412	2	72	technology	technology	NOUN
ijassa-1412	2	73	,	,	PUNCT
ijassa-1412	2	74	department	department	NOUN
ijassa-1412	2	75	of	of	ADP
ijassa-1412	2	76	telecommunications	telecommunications	PROPN
ijassa-1412	2	77	,	,	PUNCT
ijassa-1412	2	78	dr	dr	PROPN
ijassa-1412	2	79	.	.	PROPN
ijassa-1412	2	80	tahar	tahar	PROPN
ijassa-1412	2	81	moulay	moulay	PROPN
ijassa-1412	2	82	university	university	PROPN
ijassa-1412	2	83	,	,	PUNCT
ijassa-1412	2	84	saida	saida	PROPN
ijassa-1412	2	85	,	,	PUNCT
ijassa-1412	2	86	algeria	algeria	PROPN
ijassa-1412	2	87	abstract	abstract	NOUN
ijassa-1412	2	88	:	:	PUNCT
ijassa-1412	2	89	intelligent	intelligent	ADJ
ijassa-1412	2	90	transport	transport	NOUN
ijassa-1412	2	91	systems	system	NOUN
ijassa-1412	2	92	(	(	PUNCT
ijassa-1412	2	93	its	its	PRON
ijassa-1412	2	94	)	)	PUNCT
ijassa-1412	2	95	have	have	AUX
ijassa-1412	2	96	emerged	emerge	VERB
ijassa-1412	2	97	as	as	ADP
ijassa-1412	2	98	an	an	DET
ijassa-1412	2	99	efficient	efficient	ADJ
ijassa-1412	2	100	solution	solution	NOUN
ijassa-1412	2	101	for	for	ADP
ijassa-1412	2	102	enhancing	enhance	VERB
ijassa-1412	2	103	road	road	NOUN
ijassa-1412	2	104	utilization	utilization	NOUN
ijassa-1412	2	105	efficiency	efficiency	NOUN
ijassa-1412	2	106	,	,	PUNCT
ijassa-1412	2	107	ensuring	ensure	VERB
ijassa-1412	2	108	convenient	convenient	ADJ
ijassa-1412	2	109	and	and	CCONJ
ijassa-1412	2	110	safe	safe	ADJ
ijassa-1412	2	111	transportation	transportation	NOUN
ijassa-1412	2	112	,	,	PUNCT
ijassa-1412	2	113	and	and	CCONJ
ijassa-1412	2	114	reducing	reduce	VERB
ijassa-1412	2	115	energy	energy	NOUN
ijassa-1412	2	116	consumption	consumption	NOUN
ijassa-1412	2	117	.	.	PUNCT
ijassa-1412	3	1	this	this	DET
ijassa-1412	3	2	research	research	NOUN
ijassa-1412	3	3	addresses	address	VERB
ijassa-1412	3	4	the	the	DET
ijassa-1412	3	5	challenging	challenging	ADJ
ijassa-1412	3	6	problem	problem	NOUN
ijassa-1412	3	7	of	of	ADP
ijassa-1412	3	8	accurately	accurately	ADV
ijassa-1412	3	9	estimating	estimate	VERB
ijassa-1412	3	10	road	road	NOUN
ijassa-1412	3	11	traffic	traffic	NOUN
ijassa-1412	3	12	congestion	congestion	NOUN
ijassa-1412	3	13	from	from	ADP
ijassa-1412	3	14	videos	video	NOUN
ijassa-1412	3	15	recorded	record	VERB
ijassa-1412	3	16	in	in	ADP
ijassa-1412	3	17	low	low	ADJ
ijassa-1412	3	18	visibility	visibility	NOUN
ijassa-1412	3	19	and	and	CCONJ
ijassa-1412	3	20	adverse	adverse	ADJ
ijassa-1412	3	21	weather	weather	NOUN
ijassa-1412	3	22	conditions	condition	NOUN
ijassa-1412	3	23	such	such	ADJ
ijassa-1412	3	24	as	as	ADP
ijassa-1412	3	25	rainy	rainy	ADJ
ijassa-1412	3	26	,	,	PUNCT
ijassa-1412	3	27	overcast	overcast	ADJ
ijassa-1412	3	28	,	,	PUNCT
ijassa-1412	3	29	and	and	CCONJ
ijassa-1412	3	30	sunny	sunny	ADJ
ijassa-1412	3	31	weather	weather	NOUN
ijassa-1412	3	32	.	.	PUNCT
ijassa-1412	4	1	to	to	PART
ijassa-1412	4	2	solve	solve	VERB
ijassa-1412	4	3	this	this	DET
ijassa-1412	4	4	problem	problem	NOUN
ijassa-1412	4	5	,	,	PUNCT
ijassa-1412	4	6	we	we	PRON
ijassa-1412	4	7	propose	propose	VERB
ijassa-1412	4	8	a	a	DET
ijassa-1412	4	9	method	method	NOUN
ijassa-1412	4	10	based	base	VERB
ijassa-1412	4	11	on	on	ADP
ijassa-1412	4	12	the	the	DET
ijassa-1412	4	13	use	use	NOUN
ijassa-1412	4	14	a	a	DET
ijassa-1412	4	15	custom	custom	NOUN
ijassa-1412	4	16	deep	deep	ADJ
ijassa-1412	4	17	convolutional	convolutional	ADJ
ijassa-1412	4	18	neural	neural	ADJ
ijassa-1412	4	19	network	network	NOUN
ijassa-1412	4	20	(	(	PUNCT
ijassa-1412	4	21	dcnn	dcnn	PROPN
ijassa-1412	4	22	)	)	PUNCT
ijassa-1412	4	23	that	that	SCONJ
ijassa-1412	4	24	we	we	PRON
ijassa-1412	4	25	have	have	AUX
ijassa-1412	4	26	designed	design	VERB
ijassa-1412	4	27	and	and	CCONJ
ijassa-1412	4	28	trained	train	VERB
ijassa-1412	4	29	to	to	PART
ijassa-1412	4	30	classify	classify	VERB
ijassa-1412	4	31	nighttime	nighttime	ADJ
ijassa-1412	4	32	road	road	NOUN
ijassa-1412	4	33	traffic	traffic	NOUN
ijassa-1412	4	34	videos	video	NOUN
ijassa-1412	4	35	into	into	ADP
ijassa-1412	4	36	three	three	NUM
ijassa-1412	4	37	distinct	distinct	ADJ
ijassa-1412	4	38	categories	category	NOUN
ijassa-1412	4	39	.	.	PUNCT
ijassa-1412	5	1	to	to	PART
ijassa-1412	5	2	train	train	VERB
ijassa-1412	5	3	and	and	CCONJ
ijassa-1412	5	4	test	test	VERB
ijassa-1412	5	5	this	this	DET
ijassa-1412	5	6	dcnn	dcnn	PROPN
ijassa-1412	5	7	,	,	PUNCT
ijassa-1412	5	8	we	we	PRON
ijassa-1412	5	9	used	use	VERB
ijassa-1412	5	10	nighttime	nighttime	ADJ
ijassa-1412	5	11	videos	video	NOUN
ijassa-1412	5	12	from	from	ADP
ijassa-1412	5	13	the	the	DET
ijassa-1412	5	14	ucsd	ucsd	PROPN
ijassa-1412	5	15	(	(	PUNCT
ijassa-1412	5	16	university	university	PROPN
ijassa-1412	5	17	of	of	ADP
ijassa-1412	5	18	california	california	PROPN
ijassa-1412	5	19	san	san	PROPN
ijassa-1412	5	20	diego	diego	PROPN
ijassa-1412	5	21	)	)	PUNCT
ijassa-1412	5	22	public	public	ADJ
ijassa-1412	5	23	dataset	dataset	NOUN
ijassa-1412	5	24	.	.	PUNCT
ijassa-1412	6	1	for	for	ADP
ijassa-1412	6	2	comparison	comparison	NOUN
ijassa-1412	6	3	,	,	PUNCT
ijassa-1412	6	4	we	we	PRON
ijassa-1412	6	5	have	have	AUX
ijassa-1412	6	6	also	also	ADV
ijassa-1412	6	7	tested	test	VERB
ijassa-1412	6	8	a	a	DET
ijassa-1412	6	9	second	second	ADJ
ijassa-1412	6	10	method	method	NOUN
ijassa-1412	6	11	,	,	PUNCT
ijassa-1412	6	12	which	which	PRON
ijassa-1412	6	13	uses	use	VERB
ijassa-1412	6	14	an	an	DET
ijassa-1412	6	15	existing	exist	VERB
ijassa-1412	6	16	cnn	cnn	NOUN
ijassa-1412	6	17	that	that	PRON
ijassa-1412	6	18	we	we	PRON
ijassa-1412	6	19	have	have	AUX
ijassa-1412	6	20	trained	train	VERB
ijassa-1412	6	21	on	on	ADP
ijassa-1412	6	22	the	the	DET
ijassa-1412	6	23	same	same	ADJ
ijassa-1412	6	24	dataset	dataset	NOUN
ijassa-1412	6	25	to	to	PART
ijassa-1412	6	26	classify	classify	VERB
ijassa-1412	6	27	road	road	NOUN
ijassa-1412	6	28	traffic	traffic	NOUN
ijassa-1412	6	29	into	into	ADP
ijassa-1412	6	30	the	the	DET
ijassa-1412	6	31	same	same	ADJ
ijassa-1412	6	32	three	three	NUM
ijassa-1412	6	33	categories	category	NOUN
ijassa-1412	6	34	.	.	PUNCT
ijassa-1412	7	1	the	the	DET
ijassa-1412	7	2	performances	performance	NOUN
ijassa-1412	7	3	of	of	ADP
ijassa-1412	7	4	the	the	DET
ijassa-1412	7	5	two	two	NUM
ijassa-1412	7	6	methods	method	NOUN
ijassa-1412	7	7	were	be	AUX
ijassa-1412	7	8	assessed	assess	VERB
ijassa-1412	7	9	and	and	CCONJ
ijassa-1412	7	10	compared	compare	VERB
ijassa-1412	7	11	using	use	VERB
ijassa-1412	7	12	the	the	DET
ijassa-1412	7	13	ucsd	ucsd	PROPN
ijassa-1412	7	14	nighttime	nighttime	NOUN
ijassa-1412	7	15	dataset	dataset	NOUN
ijassa-1412	7	16	.	.	PUNCT
ijassa-1412	8	1	the	the	DET
ijassa-1412	8	2	first	first	ADJ
ijassa-1412	8	3	method	method	NOUN
ijassa-1412	8	4	achieves	achieve	VERB
ijassa-1412	8	5	an	an	DET
ijassa-1412	8	6	impressive	impressive	ADJ
ijassa-1412	8	7	correct	correct	ADJ
ijassa-1412	8	8	classification	classification	NOUN
ijassa-1412	8	9	rate	rate	NOUN
ijassa-1412	8	10	(	(	PUNCT
ijassa-1412	8	11	ccr	ccr	PROPN
ijassa-1412	8	12	)	)	PUNCT
ijassa-1412	8	13	of	of	ADP
ijassa-1412	8	14	98.91	98.91	NUM
ijassa-1412	8	15	%	%	NOUN
ijassa-1412	8	16	,	,	PUNCT
ijassa-1412	8	17	which	which	PRON
ijassa-1412	8	18	is	be	AUX
ijassa-1412	8	19	higher	high	ADJ
ijassa-1412	8	20	than	than	ADP
ijassa-1412	8	21	the	the	DET
ijassa-1412	8	22	96.18	96.18	NUM
ijassa-1412	8	23	%	%	NOUN
ijassa-1412	8	24	ccr	ccr	PROPN
ijassa-1412	8	25	achieved	achieve	VERB
ijassa-1412	8	26	by	by	ADP
ijassa-1412	8	27	the	the	DET
ijassa-1412	8	28	second	second	ADJ
ijassa-1412	8	29	method	method	NOUN
ijassa-1412	8	30	.	.	PUNCT
ijassa-1412	9	1	these	these	DET
ijassa-1412	9	2	rates	rate	NOUN
ijassa-1412	9	3	surpass	surpass	VERB
ijassa-1412	9	4	the	the	DET
ijassa-1412	9	5	89.47	89.47	NUM
ijassa-1412	9	6	%	%	NOUN
ijassa-1412	9	7	state	state	NOUN
ijassa-1412	9	8	-	-	PUNCT
ijassa-1412	9	9	of	of	ADP
ijassa-1412	9	10	-	-	PUNCT
ijassa-1412	9	11	the	the	DET
ijassa-1412	9	12	-	-	PUNCT
ijassa-1412	9	13	art	art	NOUN
ijassa-1412	9	14	ccr	ccr	PROPN
ijassa-1412	9	15	obtained	obtain	VERB
ijassa-1412	9	16	with	with	ADP
ijassa-1412	9	17	this	this	DET
ijassa-1412	9	18	dataset	dataset	NOUN
ijassa-1412	9	19	.	.	PUNCT
ijassa-1412	10	1	this	this	DET
ijassa-1412	10	2	exceptional	exceptional	ADJ
ijassa-1412	10	3	precision	precision	NOUN
ijassa-1412	10	4	in	in	ADP
ijassa-1412	10	5	estimating	estimate	VERB
ijassa-1412	10	6	road	road	NOUN
ijassa-1412	10	7	traffic	traffic	NOUN
ijassa-1412	10	8	congestion	congestion	NOUN
ijassa-1412	10	9	in	in	ADP
ijassa-1412	10	10	challenging	challenge	VERB
ijassa-1412	10	11	low	low	ADJ
ijassa-1412	10	12	visibility	visibility	NOUN
ijassa-1412	10	13	conditions	condition	NOUN
ijassa-1412	10	14	is	be	AUX
ijassa-1412	10	15	achieved	achieve	VERB
ijassa-1412	10	16	thanks	thank	NOUN
ijassa-1412	10	17	to	to	ADP
ijassa-1412	10	18	the	the	DET
ijassa-1412	10	19	integration	integration	NOUN
ijassa-1412	10	20	of	of	ADP
ijassa-1412	10	21	advanced	advanced	ADJ
ijassa-1412	10	22	deep	deep	ADJ
ijassa-1412	10	23	learning	learning	NOUN
ijassa-1412	10	24	techniques	technique	NOUN
ijassa-1412	10	25	and	and	CCONJ
ijassa-1412	10	26	cnns	cnn	NOUN
ijassa-1412	10	27	.	.	PUNCT
ijassa-1412	11	1	the	the	DET
ijassa-1412	11	2	proposed	propose	VERB
ijassa-1412	11	3	method	method	NOUN
ijassa-1412	11	4	can	can	AUX
ijassa-1412	11	5	be	be	AUX
ijassa-1412	11	6	integrated	integrate	VERB
ijassa-1412	11	7	as	as	ADP
ijassa-1412	11	8	part	part	NOUN
ijassa-1412	11	9	of	of	ADP
ijassa-1412	11	10	a	a	DET
ijassa-1412	11	11	traffic	traffic	NOUN
ijassa-1412	11	12	monitoring	monitoring	NOUN
ijassa-1412	11	13	system	system	NOUN
ijassa-1412	11	14	,	,	PUNCT
ijassa-1412	11	15	thus	thus	ADV
ijassa-1412	11	16	contributing	contribute	VERB
ijassa-1412	11	17	to	to	ADP
ijassa-1412	11	18	the	the	DET
ijassa-1412	11	19	advancement	advancement	NOUN
ijassa-1412	11	20	of	of	ADP
ijassa-1412	11	21	intelligent	intelligent	ADJ
ijassa-1412	11	22	transport	transport	NOUN
ijassa-1412	11	23	systems	system	NOUN
ijassa-1412	11	24	and	and	CCONJ
ijassa-1412	11	25	their	their	PRON
ijassa-1412	11	26	potential	potential	NOUN
ijassa-1412	11	27	to	to	PART
ijassa-1412	11	28	create	create	VERB
ijassa-1412	11	29	cleaner	clean	ADJ
ijassa-1412	11	30	,	,	PUNCT
ijassa-1412	11	31	safer	safe	ADJ
ijassa-1412	11	32	,	,	PUNCT
ijassa-1412	11	33	and	and	CCONJ
ijassa-1412	11	34	more	more	ADV
ijassa-1412	11	35	efficient	efficient	ADJ
ijassa-1412	11	36	transportation	transportation	NOUN
ijassa-1412	11	37	networks	network	NOUN
ijassa-1412	11	38	.	.	PUNCT
ijassa-1412	12	1	keywords	keyword	NOUN
ijassa-1412	12	2	:	:	PUNCT
ijassa-1412	13	1	cnn	cnn	PROPN
ijassa-1412	13	2	,	,	PUNCT
ijassa-1412	13	3	congestion	congestion	NOUN
ijassa-1412	13	4	,	,	PUNCT
ijassa-1412	13	5	its	its	PRON
ijassa-1412	13	6	,	,	PUNCT
ijassa-1412	13	7	traffic	traffic	NOUN
ijassa-1412	13	8	classification	classification	NOUN
ijassa-1412	13	9	,	,	PUNCT
ijassa-1412	13	10	night	night	NOUN
ijassa-1412	13	11	traffic	traffic	NOUN
ijassa-1412	13	12	,	,	PUNCT
ijassa-1412	13	13	macroscopic	macroscopic	ADJ
ijassa-1412	13	14	approach	approach	NOUN
ijassa-1412	13	15	,	,	PUNCT
ijassa-1412	13	16	ucsd	ucsd	PROPN
ijassa-1412	13	17	.	.	PROPN
ijassa-1412	13	18	1	1	NUM
ijassa-1412	13	19	.	.	X
ijassa-1412	13	20	introduction	introduction	NOUN
ijassa-1412	13	21	road	road	NOUN
ijassa-1412	13	22	traffic	traffic	NOUN
ijassa-1412	13	23	accidents	accident	NOUN
ijassa-1412	13	24	are	be	AUX
ijassa-1412	13	25	a	a	DET
ijassa-1412	13	26	worldwide	worldwide	ADJ
ijassa-1412	13	27	calamity	calamity	NOUN
ijassa-1412	13	28	.	.	PUNCT
ijassa-1412	14	1	in	in	ADP
ijassa-1412	14	2	fact	fact	NOUN
ijassa-1412	14	3	,	,	PUNCT
ijassa-1412	14	4	over	over	ADP
ijassa-1412	14	5	a	a	DET
ijassa-1412	14	6	million	million	NUM
ijassa-1412	14	7	people	people	NOUN
ijassa-1412	14	8	die	die	VERB
ijassa-1412	14	9	in	in	ADP
ijassa-1412	14	10	road	road	NOUN
ijassa-1412	14	11	accidents	accident	NOUN
ijassa-1412	14	12	worldwide	worldwide	ADV
ijassa-1412	14	13	each	each	DET
ijassa-1412	14	14	year	year	NOUN
ijassa-1412	14	15	,	,	PUNCT
ijassa-1412	14	16	and	and	CCONJ
ijassa-1412	14	17	an	an	DET
ijassa-1412	14	18	even	even	ADV
ijassa-1412	14	19	greater	great	ADJ
ijassa-1412	14	20	number	number	NOUN
ijassa-1412	14	21	end	end	VERB
ijassa-1412	14	22	up	up	ADP
ijassa-1412	14	23	with	with	ADP
ijassa-1412	14	24	some	some	DET
ijassa-1412	14	25	form	form	NOUN
ijassa-1412	14	26	of	of	ADP
ijassa-1412	14	27	disability	disability	NOUN
ijassa-1412	14	28	.	.	PUNCT
ijassa-1412	15	1	low	low	ADJ
ijassa-1412	15	2	visibility	visibility	NOUN
ijassa-1412	15	3	is	be	AUX
ijassa-1412	15	4	one	one	NUM
ijassa-1412	15	5	of	of	ADP
ijassa-1412	15	6	the	the	DET
ijassa-1412	15	7	causes	cause	NOUN
ijassa-1412	15	8	of	of	ADP
ijassa-1412	15	9	road	road	NOUN
ijassa-1412	15	10	accidents	accident	NOUN
ijassa-1412	15	11	;	;	PUNCT
ijassa-1412	15	12	indeed	indeed	ADV
ijassa-1412	15	13	,	,	PUNCT
ijassa-1412	15	14	the	the	DET
ijassa-1412	15	15	risk	risk	NOUN
ijassa-1412	15	16	of	of	ADP
ijassa-1412	15	17	a	a	DET
ijassa-1412	15	18	fatal	fatal	ADJ
ijassa-1412	15	19	accident	accident	NOUN
ijassa-1412	15	20	during	during	ADP
ijassa-1412	15	21	the	the	DET
ijassa-1412	15	22	night	night	NOUN
ijassa-1412	15	23	is	be	AUX
ijassa-1412	15	24	seven	seven	NUM
ijassa-1412	15	25	times	time	NOUN
ijassa-1412	15	26	higher	high	ADJ
ijassa-1412	15	27	than	than	ADP
ijassa-1412	15	28	during	during	ADP
ijassa-1412	15	29	the	the	DET
ijassa-1412	15	30	day	day	NOUN
ijassa-1412	15	31	[	[	X
ijassa-1412	15	32	1	1	NUM
ijassa-1412	15	33	]	]	PUNCT
ijassa-1412	15	34	.	.	PUNCT
ijassa-1412	16	1	road	road	NOUN
ijassa-1412	16	2	traffic	traffic	NOUN
ijassa-1412	16	3	congestion	congestion	NOUN
ijassa-1412	16	4	is	be	AUX
ijassa-1412	16	5	a	a	DET
ijassa-1412	16	6	significant	significant	ADJ
ijassa-1412	16	7	cause	cause	NOUN
ijassa-1412	16	8	of	of	ADP
ijassa-1412	16	9	accidents	accident	NOUN
ijassa-1412	16	10	and	and	CCONJ
ijassa-1412	16	11	has	have	VERB
ijassa-1412	16	12	social	social	ADJ
ijassa-1412	16	13	,	,	PUNCT
ijassa-1412	16	14	economic	economic	ADJ
ijassa-1412	16	15	,	,	PUNCT
ijassa-1412	16	16	health	health	NOUN
ijassa-1412	16	17	,	,	PUNCT
ijassa-1412	16	18	and	and	CCONJ
ijassa-1412	16	19	environmental	environmental	ADJ
ijassa-1412	16	20	impacts	impact	NOUN
ijassa-1412	16	21	,	,	PUNCT
ijassa-1412	16	22	as	as	ADV
ijassa-1412	16	23	well	well	ADV
ijassa-1412	16	24	.	.	PUNCT
ijassa-1412	17	1	several	several	ADJ
ijassa-1412	17	2	measures	measure	NOUN
ijassa-1412	17	3	have	have	AUX
ijassa-1412	17	4	been	be	AUX
ijassa-1412	17	5	taken	take	VERB
ijassa-1412	17	6	to	to	PART
ijassa-1412	17	7	combat	combat	VERB
ijassa-1412	17	8	this	this	DET
ijassa-1412	17	9	epidemic	epidemic	NOUN
ijassa-1412	17	10	,	,	PUNCT
ijassa-1412	17	11	which	which	PRON
ijassa-1412	17	12	can	can	AUX
ijassa-1412	17	13	occur	occur	VERB
ijassa-1412	17	14	during	during	ADP
ijassa-1412	17	15	the	the	DET
ijassa-1412	17	16	day	day	NOUN
ijassa-1412	17	17	or	or	CCONJ
ijassa-1412	17	18	night	night	NOUN
ijassa-1412	17	19	.	.	PUNCT
ijassa-1412	18	1	among	among	ADP
ijassa-1412	18	2	these	these	DET
ijassa-1412	18	3	measures	measure	NOUN
ijassa-1412	18	4	,	,	PUNCT
ijassa-1412	18	5	the	the	DET
ijassa-1412	18	6	employment	employment	NOUN
ijassa-1412	18	7	of	of	ADP
ijassa-1412	18	8	recent	recent	ADJ
ijassa-1412	18	9	technology	technology	NOUN
ijassa-1412	18	10	occupies	occupy	VERB
ijassa-1412	18	11	a	a	DET
ijassa-1412	18	12	place	place	NOUN
ijassa-1412	18	13	of	of	ADP
ijassa-1412	18	14	prominence	prominence	NOUN
ijassa-1412	18	15	.	.	PUNCT
ijassa-1412	19	1	indeed	indeed	ADV
ijassa-1412	19	2	,	,	PUNCT
ijassa-1412	19	3	it	it	PRON
ijassa-1412	19	4	enables	enable	VERB
ijassa-1412	19	5	the	the	DET
ijassa-1412	19	6	supervision	supervision	NOUN
ijassa-1412	19	7	of	of	ADP
ijassa-1412	19	8	road	road	NOUN
ijassa-1412	19	9	traffic	traffic	NOUN
ijassa-1412	19	10	using	use	VERB
ijassa-1412	19	11	sensors	sensor	NOUN
ijassa-1412	19	12	installed	instal	VERB
ijassa-1412	19	13	on	on	ADP
ijassa-1412	19	14	the	the	DET
ijassa-1412	19	15	road	road	NOUN
ijassa-1412	19	16	.	.	PUNCT
ijassa-1412	20	1	the	the	DET
ijassa-1412	20	2	data	datum	NOUN
ijassa-1412	20	3	provided	provide	VERB
ijassa-1412	20	4	by	by	ADP
ijassa-1412	20	5	these	these	DET
ijassa-1412	20	6	sensors	sensor	NOUN
ijassa-1412	20	7	is	be	AUX
ijassa-1412	20	8	processed	process	VERB
ijassa-1412	20	9	to	to	PART
ijassa-1412	20	10	extract	extract	VERB
ijassa-1412	20	11	relevant	relevant	ADJ
ijassa-1412	20	12	information	information	NOUN
ijassa-1412	20	13	for	for	ADP
ijassa-1412	20	14	road	road	NOUN
ijassa-1412	20	15	users	user	NOUN
ijassa-1412	20	16	and	and	CCONJ
ijassa-1412	20	17	road	road	NOUN
ijassa-1412	20	18	traffic	traffic	NOUN
ijassa-1412	20	19	management	management	NOUN
ijassa-1412	20	20	and	and	CCONJ
ijassa-1412	20	21	control	control	NOUN
ijassa-1412	20	22	services	service	NOUN
ijassa-1412	20	23	,	,	PUNCT
ijassa-1412	20	24	in	in	ADP
ijassa-1412	20	25	order	order	NOUN
ijassa-1412	20	26	to	to	PART
ijassa-1412	20	27	help	help	VERB
ijassa-1412	20	28	plan	plan	VERB
ijassa-1412	20	29	departures	departure	NOUN
ijassa-1412	20	30	(	(	PUNCT
ijassa-1412	20	31	vacation	vacation	NOUN
ijassa-1412	20	32	periods	period	NOUN
ijassa-1412	20	33	)	)	PUNCT
ijassa-1412	20	34	,	,	PUNCT
ijassa-1412	20	35	avoid	avoid	VERB
ijassa-1412	20	36	traffic	traffic	NOUN
ijassa-1412	20	37	bottlenecks	bottleneck	NOUN
ijassa-1412	20	38	,	,	PUNCT
ijassa-1412	20	39	and	and	CCONJ
ijassa-1412	20	40	thereby	thereby	ADV
ijassa-1412	20	41	lessen	lessen	VERB
ijassa-1412	20	42	their	their	PRON
ijassa-1412	20	43	misdeeds	misdeed	NOUN
ijassa-1412	20	44	.	.	PUNCT
ijassa-1412	21	1	many	many	ADJ
ijassa-1412	21	2	cameras	camera	NOUN
ijassa-1412	21	3	are	be	AUX
ijassa-1412	21	4	now	now	ADV
ijassa-1412	21	5	put	put	VERB
ijassa-1412	21	6	on	on	ADP
ijassa-1412	21	7	urban	urban	ADJ
ijassa-1412	21	8	roadways	roadway	NOUN
ijassa-1412	21	9	and	and	CCONJ
ijassa-1412	21	10	highways	highway	NOUN
ijassa-1412	21	11	for	for	ADP
ijassa-1412	21	12	security	security	NOUN
ijassa-1412	21	13	purposes	purpose	NOUN
ijassa-1412	21	14	.	.	PUNCT
ijassa-1412	22	1	these	these	DET
ijassa-1412	22	2	cameras	camera	NOUN
ijassa-1412	22	3	can	can	AUX
ijassa-1412	22	4	be	be	AUX
ijassa-1412	22	5	used	use	VERB
ijassa-1412	22	6	to	to	PART
ijassa-1412	22	7	estimate	estimate	VERB
ijassa-1412	22	8	the	the	DET
ijassa-1412	22	9	status	status	NOUN
ijassa-1412	22	10	of	of	ADP
ijassa-1412	22	11	road	road	NOUN
ijassa-1412	22	12	traffic	traffic	NOUN
ijassa-1412	22	13	.	.	PUNCT
ijassa-1412	23	1	currently	currently	ADV
ijassa-1412	23	2	,	,	PUNCT
ijassa-1412	23	3	there	there	PRON
ijassa-1412	23	4	is	be	VERB
ijassa-1412	23	5	a	a	DET
ijassa-1412	23	6	high	high	ADJ
ijassa-1412	23	7	demand	demand	NOUN
ijassa-1412	23	8	for	for	ADP
ijassa-1412	23	9	the	the	DET
ijassa-1412	23	10	interpretation	interpretation	NOUN
ijassa-1412	23	11	of	of	ADP
ijassa-1412	23	12	nocturnal	nocturnal	ADJ
ijassa-1412	23	13	traffic	traffic	NOUN
ijassa-1412	23	14	situations	situation	NOUN
ijassa-1412	23	15	.	.	PUNCT
ijassa-1412	24	1	in	in	ADP
ijassa-1412	24	2	this	this	DET
ijassa-1412	24	3	paper	paper	NOUN
ijassa-1412	24	4	,	,	PUNCT
ijassa-1412	24	5	we	we	PRON
ijassa-1412	24	6	propose	propose	VERB
ijassa-1412	24	7	a	a	DET
ijassa-1412	24	8	traffic	traffic	NOUN
ijassa-1412	24	9	framework	framework	NOUN
ijassa-1412	24	10	for	for	ADP
ijassa-1412	24	11	the	the	DET
ijassa-1412	24	12	classification	classification	NOUN
ijassa-1412	24	13	of	of	ADP
ijassa-1412	24	14	traffic	traffic	NOUN
ijassa-1412	24	15	congestion	congestion	NOUN
ijassa-1412	24	16	from	from	ADP
ijassa-1412	24	17	sofiane	sofiane	ADJ
ijassa-1412	24	18	abdelkrim	abdelkrim	PROPN
ijassa-1412	24	19	khalladi	khalladi	PROPN
ijassa-1412	24	20	,	,	PUNCT
ijassa-1412	24	21	asmâa	asmâa	PROPN
ijassa-1412	24	22	ouessai	ouessai	PROPN
ijassa-1412	24	23	,	,	PUNCT
ijassa-1412	24	24	mokhtar	mokhtar	PROPN
ijassa-1412	24	25	keche	keche	NOUN
ijassa-1412	24	26	130	130	NUM
ijassa-1412	24	27	copyright	copyright	NOUN
ijassa-1412	24	28	©	©	PROPN
ijassa-1412	24	29	2024	2024	NUM
ijassa-1412	24	30	assa	assa	PROPN
ijassa-1412	24	31	adv	adv	PROPN
ijassa-1412	24	32	.	.	PUNCT
ijassa-1412	25	1	in	in	ADP
ijassa-1412	25	2	systems	system	NOUN
ijassa-1412	25	3	science	science	NOUN
ijassa-1412	25	4	and	and	CCONJ
ijassa-1412	25	5	appl	appl	NOUN
ijassa-1412	25	6	.	.	PUNCT
ijassa-1412	26	1	(	(	PUNCT
ijassa-1412	26	2	2024	2024	NUM
ijassa-1412	26	3	)	)	PUNCT
ijassa-1412	26	4	nighttime	nighttime	ADJ
ijassa-1412	26	5	surveillance	surveillance	NOUN
ijassa-1412	26	6	videos	video	NOUN
ijassa-1412	26	7	.	.	PUNCT
ijassa-1412	27	1	video	video	NOUN
ijassa-1412	27	2	analysis	analysis	NOUN
ijassa-1412	27	3	at	at	ADP
ijassa-1412	27	4	night	night	NOUN
ijassa-1412	27	5	represents	represent	VERB
ijassa-1412	27	6	a	a	DET
ijassa-1412	27	7	challenge	challenge	NOUN
ijassa-1412	27	8	.	.	PUNCT
ijassa-1412	28	1	night	night	NOUN
ijassa-1412	28	2	-	-	PUNCT
ijassa-1412	28	3	time	time	NOUN
ijassa-1412	28	4	vehicle	vehicle	NOUN
ijassa-1412	28	5	surveillance	surveillance	NOUN
ijassa-1412	28	6	is	be	AUX
ijassa-1412	28	7	even	even	ADV
ijassa-1412	28	8	more	more	ADV
ijassa-1412	28	9	complex	complex	ADJ
ijassa-1412	28	10	since	since	SCONJ
ijassa-1412	28	11	heavy	heavy	ADJ
ijassa-1412	28	12	traffic	traffic	NOUN
ijassa-1412	28	13	flows	flow	NOUN
ijassa-1412	28	14	and	and	CCONJ
ijassa-1412	28	15	incidents	incident	NOUN
ijassa-1412	28	16	might	might	AUX
ijassa-1412	28	17	occur	occur	VERB
ijassa-1412	28	18	on	on	ADP
ijassa-1412	28	19	city	city	NOUN
ijassa-1412	28	20	streets	street	NOUN
ijassa-1412	28	21	or	or	CCONJ
ijassa-1412	28	22	highways	highway	NOUN
ijassa-1412	28	23	at	at	ADP
ijassa-1412	28	24	night	night	NOUN
ijassa-1412	28	25	.	.	PUNCT
ijassa-1412	29	1	the	the	DET
ijassa-1412	29	2	use	use	NOUN
ijassa-1412	29	3	of	of	ADP
ijassa-1412	29	4	night	night	NOUN
ijassa-1412	29	5	vision	vision	NOUN
ijassa-1412	29	6	sensors	sensor	NOUN
ijassa-1412	29	7	such	such	ADJ
ijassa-1412	29	8	as	as	ADP
ijassa-1412	29	9	infrared	infrared	ADJ
ijassa-1412	29	10	-	-	PUNCT
ijassa-1412	29	11	thermal	thermal	ADJ
ijassa-1412	29	12	cameras	camera	NOUN
ijassa-1412	29	13	to	to	PART
ijassa-1412	29	14	identify	identify	VERB
ijassa-1412	29	15	automobiles	automobile	NOUN
ijassa-1412	29	16	is	be	AUX
ijassa-1412	29	17	an	an	DET
ijassa-1412	29	18	efficient	efficient	ADJ
ijassa-1412	29	19	method	method	NOUN
ijassa-1412	29	20	.	.	PUNCT
ijassa-1412	30	1	unfortunately	unfortunately	ADV
ijassa-1412	30	2	,	,	PUNCT
ijassa-1412	30	3	due	due	ADP
ijassa-1412	30	4	to	to	ADP
ijassa-1412	30	5	their	their	PRON
ijassa-1412	30	6	high	high	ADJ
ijassa-1412	30	7	cost	cost	NOUN
ijassa-1412	30	8	,	,	PUNCT
ijassa-1412	30	9	infrared	infrared	ADJ
ijassa-1412	30	10	sensors	sensor	NOUN
ijassa-1412	30	11	are	be	AUX
ijassa-1412	30	12	rarely	rarely	ADV
ijassa-1412	30	13	used	use	VERB
ijassa-1412	30	14	for	for	ADP
ijassa-1412	30	15	traffic	traffic	NOUN
ijassa-1412	30	16	analysis	analysis	NOUN
ijassa-1412	30	17	.	.	PUNCT
ijassa-1412	31	1	ccd	ccd	NOUN
ijassa-1412	31	2	cameras	camera	NOUN
ijassa-1412	31	3	,	,	PUNCT
ijassa-1412	31	4	unlike	unlike	ADP
ijassa-1412	31	5	thermal	thermal	ADJ
ijassa-1412	31	6	cameras	camera	NOUN
ijassa-1412	31	7	,	,	PUNCT
ijassa-1412	31	8	are	be	AUX
ijassa-1412	31	9	sensitive	sensitive	ADJ
ijassa-1412	31	10	to	to	ADP
ijassa-1412	31	11	visible	visible	ADJ
ijassa-1412	31	12	light	light	NOUN
ijassa-1412	31	13	.	.	PUNCT
ijassa-1412	32	1	however	however	ADV
ijassa-1412	32	2	,	,	PUNCT
ijassa-1412	32	3	some	some	DET
ijassa-1412	32	4	challenging	challenging	ADJ
ijassa-1412	32	5	variables	variable	NOUN
ijassa-1412	32	6	,	,	PUNCT
ijassa-1412	32	7	such	such	ADJ
ijassa-1412	32	8	as	as	ADP
ijassa-1412	32	9	poor	poor	ADJ
ijassa-1412	32	10	sight	sight	NOUN
ijassa-1412	32	11	and	and	CCONJ
ijassa-1412	32	12	loud	loud	ADJ
ijassa-1412	32	13	surroundings	surrounding	NOUN
ijassa-1412	32	14	,	,	PUNCT
ijassa-1412	32	15	make	make	VERB
ijassa-1412	32	16	some	some	DET
ijassa-1412	32	17	weather	weather	NOUN
ijassa-1412	32	18	or	or	CCONJ
ijassa-1412	32	19	illumination	illumination	NOUN
ijassa-1412	32	20	circumstances	circumstance	NOUN
ijassa-1412	32	21	(	(	PUNCT
ijassa-1412	32	22	such	such	ADJ
ijassa-1412	32	23	as	as	ADP
ijassa-1412	32	24	day	day	NOUN
ijassa-1412	32	25	,	,	PUNCT
ijassa-1412	32	26	night	night	NOUN
ijassa-1412	32	27	,	,	PUNCT
ijassa-1412	32	28	sun	sun	NOUN
ijassa-1412	32	29	,	,	PUNCT
ijassa-1412	32	30	rain	rain	NOUN
ijassa-1412	32	31	,	,	PUNCT
ijassa-1412	32	32	snow	snow	NOUN
ijassa-1412	32	33	,	,	PUNCT
ijassa-1412	32	34	and	and	CCONJ
ijassa-1412	32	35	occlusions	occlusion	NOUN
ijassa-1412	32	36	)	)	PUNCT
ijassa-1412	32	37	difficult	difficult	ADJ
ijassa-1412	32	38	to	to	PART
ijassa-1412	32	39	deal	deal	VERB
ijassa-1412	32	40	with	with	ADP
ijassa-1412	32	41	.	.	PUNCT
ijassa-1412	33	1	primarily	primarily	ADV
ijassa-1412	33	2	,	,	PUNCT
ijassa-1412	33	3	these	these	DET
ijassa-1412	33	4	circumstances	circumstance	NOUN
ijassa-1412	33	5	are	be	AUX
ijassa-1412	33	6	difficult	difficult	ADJ
ijassa-1412	33	7	because	because	SCONJ
ijassa-1412	33	8	the	the	DET
ijassa-1412	33	9	traditional	traditional	ADJ
ijassa-1412	33	10	daytime	daytime	NOUN
ijassa-1412	33	11	surveillance	surveillance	NOUN
ijassa-1412	33	12	framework	framework	NOUN
ijassa-1412	33	13	,	,	PUNCT
ijassa-1412	33	14	which	which	PRON
ijassa-1412	33	15	is	be	AUX
ijassa-1412	33	16	based	base	VERB
ijassa-1412	33	17	on	on	ADP
ijassa-1412	33	18	changes	change	NOUN
ijassa-1412	33	19	detection	detection	NOUN
ijassa-1412	33	20	(	(	PUNCT
ijassa-1412	33	21	such	such	ADJ
ijassa-1412	33	22	as	as	ADP
ijassa-1412	33	23	background	background	NOUN
ijassa-1412	33	24	subtraction	subtraction	NOUN
ijassa-1412	33	25	)	)	PUNCT
ijassa-1412	33	26	,	,	PUNCT
ijassa-1412	33	27	is	be	AUX
ijassa-1412	33	28	unable	unable	ADJ
ijassa-1412	33	29	to	to	PART
ijassa-1412	33	30	work	work	VERB
ijassa-1412	33	31	at	at	ADP
ijassa-1412	33	32	night	night	NOUN
ijassa-1412	33	33	.	.	PUNCT
ijassa-1412	34	1	this	this	PRON
ijassa-1412	34	2	is	be	AUX
ijassa-1412	34	3	due	due	ADJ
ijassa-1412	34	4	to	to	ADP
ijassa-1412	34	5	two	two	NUM
ijassa-1412	34	6	factors	factor	NOUN
ijassa-1412	34	7	:	:	PUNCT
ijassa-1412	34	8	first	first	ADV
ijassa-1412	34	9	,	,	PUNCT
ijassa-1412	34	10	the	the	DET
ijassa-1412	34	11	camera	camera	NOUN
ijassa-1412	34	12	's	's	PART
ijassa-1412	34	13	generally	generally	ADV
ijassa-1412	34	14	poor	poor	ADJ
ijassa-1412	34	15	light	light	ADJ
ijassa-1412	34	16	sensitivity	sensitivity	NOUN
ijassa-1412	34	17	and	and	CCONJ
ijassa-1412	34	18	contrast	contrast	NOUN
ijassa-1412	34	19	,	,	PUNCT
ijassa-1412	34	20	second	second	ADV
ijassa-1412	34	21	,	,	PUNCT
ijassa-1412	34	22	the	the	DET
ijassa-1412	34	23	numerous	numerous	ADJ
ijassa-1412	34	24	foreground	foreground	NOUN
ijassa-1412	34	25	/	/	SYM
ijassa-1412	34	26	background	background	NOUN
ijassa-1412	34	27	ambiguities	ambiguity	NOUN
ijassa-1412	34	28	caused	cause	VERB
ijassa-1412	34	29	by	by	ADP
ijassa-1412	34	30	the	the	DET
ijassa-1412	34	31	changing	change	VERB
ijassa-1412	34	32	headlamp	headlamp	NOUN
ijassa-1412	34	33	reflections	reflection	NOUN
ijassa-1412	34	34	.	.	PUNCT
ijassa-1412	35	1	to	to	PART
ijassa-1412	35	2	overcome	overcome	VERB
ijassa-1412	35	3	these	these	DET
ijassa-1412	35	4	limitations	limitation	NOUN
ijassa-1412	35	5	,	,	PUNCT
ijassa-1412	35	6	we	we	PRON
ijassa-1412	35	7	suggest	suggest	VERB
ijassa-1412	35	8	a	a	DET
ijassa-1412	35	9	new	new	ADJ
ijassa-1412	35	10	macroscopic	macroscopic	ADJ
ijassa-1412	35	11	method	method	NOUN
ijassa-1412	35	12	for	for	ADP
ijassa-1412	35	13	traffic	traffic	NOUN
ijassa-1412	35	14	nighttime	nighttime	NOUN
ijassa-1412	35	15	classification	classification	NOUN
ijassa-1412	35	16	that	that	PRON
ijassa-1412	35	17	does	do	AUX
ijassa-1412	35	18	not	not	PART
ijassa-1412	35	19	rely	rely	VERB
ijassa-1412	35	20	on	on	ADP
ijassa-1412	35	21	vehicle	vehicle	NOUN
ijassa-1412	35	22	monitoring	monitoring	NOUN
ijassa-1412	35	23	(	(	PUNCT
ijassa-1412	35	24	detection	detection	NOUN
ijassa-1412	35	25	and	and	CCONJ
ijassa-1412	35	26	tracking	tracking	NOUN
ijassa-1412	35	27	)	)	PUNCT
ijassa-1412	35	28	and	and	CCONJ
ijassa-1412	35	29	extraction	extraction	NOUN
ijassa-1412	35	30	of	of	ADP
ijassa-1412	35	31	parameters	parameter	NOUN
ijassa-1412	35	32	,	,	PUNCT
ijassa-1412	35	33	such	such	ADJ
ijassa-1412	35	34	as	as	ADP
ijassa-1412	35	35	density	density	NOUN
ijassa-1412	35	36	and	and	CCONJ
ijassa-1412	35	37	velocity	velocity	NOUN
ijassa-1412	35	38	.	.	PUNCT
ijassa-1412	36	1	the	the	DET
ijassa-1412	36	2	proposed	propose	VERB
ijassa-1412	36	3	method	method	NOUN
ijassa-1412	36	4	is	be	AUX
ijassa-1412	36	5	very	very	ADV
ijassa-1412	36	6	efficient	efficient	ADJ
ijassa-1412	36	7	and	and	CCONJ
ijassa-1412	36	8	outperforms	outperform	VERB
ijassa-1412	36	9	the	the	DET
ijassa-1412	36	10	state	state	NOUN
ijassa-1412	36	11	-	-	PUNCT
ijassa-1412	36	12	of	of	ADP
ijassa-1412	36	13	-	-	PUNCT
ijassa-1412	36	14	the	the	DET
ijassa-1412	36	15	-	-	PUNCT
ijassa-1412	36	16	art	art	NOUN
ijassa-1412	36	17	methods	method	NOUN
ijassa-1412	36	18	in	in	ADP
ijassa-1412	36	19	terms	term	NOUN
ijassa-1412	36	20	of	of	ADP
ijassa-1412	36	21	accuracy	accuracy	NOUN
ijassa-1412	36	22	;	;	PUNCT
ijassa-1412	36	23	it	it	PRON
ijassa-1412	36	24	can	can	AUX
ijassa-1412	36	25	contribute	contribute	VERB
ijassa-1412	36	26	to	to	ADP
ijassa-1412	36	27	making	make	VERB
ijassa-1412	36	28	transportation	transportation	NOUN
ijassa-1412	36	29	safer	safe	ADJ
ijassa-1412	36	30	,	,	PUNCT
ijassa-1412	36	31	cleaner	clean	ADJ
ijassa-1412	36	32	,	,	PUNCT
ijassa-1412	36	33	and	and	CCONJ
ijassa-1412	36	34	more	more	ADV
ijassa-1412	36	35	economical	economical	ADJ
ijassa-1412	36	36	.	.	PUNCT
ijassa-1412	37	1	the	the	DET
ijassa-1412	37	2	rest	rest	NOUN
ijassa-1412	37	3	of	of	ADP
ijassa-1412	37	4	the	the	DET
ijassa-1412	37	5	paper	paper	NOUN
ijassa-1412	37	6	is	be	AUX
ijassa-1412	37	7	organized	organize	VERB
ijassa-1412	37	8	as	as	SCONJ
ijassa-1412	37	9	follows	follow	VERB
ijassa-1412	37	10	.	.	PUNCT
ijassa-1412	38	1	section	section	PROPN
ijassa-1412	38	2	ii	ii	PROPN
ijassa-1412	38	3	presents	present	VERB
ijassa-1412	38	4	a	a	DET
ijassa-1412	38	5	literature	literature	NOUN
ijassa-1412	38	6	review	review	NOUN
ijassa-1412	38	7	regarding	regard	VERB
ijassa-1412	38	8	the	the	DET
ijassa-1412	38	9	topic	topic	NOUN
ijassa-1412	38	10	covered	cover	VERB
ijassa-1412	38	11	by	by	ADP
ijassa-1412	38	12	the	the	DET
ijassa-1412	38	13	present	present	ADJ
ijassa-1412	38	14	paper	paper	NOUN
ijassa-1412	38	15	.	.	PUNCT
ijassa-1412	39	1	section	section	NOUN
ijassa-1412	39	2	iii	iii	PROPN
ijassa-1412	39	3	provides	provide	VERB
ijassa-1412	39	4	a	a	DET
ijassa-1412	39	5	brief	brief	ADJ
ijassa-1412	39	6	overview	overview	NOUN
ijassa-1412	39	7	of	of	ADP
ijassa-1412	39	8	convolution	convolution	NOUN
ijassa-1412	39	9	neural	neural	ADJ
ijassa-1412	39	10	networks	network	NOUN
ijassa-1412	39	11	.	.	PUNCT
ijassa-1412	40	1	in	in	ADP
ijassa-1412	40	2	section	section	NOUN
ijassa-1412	40	3	iv	iv	NUM
ijassa-1412	40	4	the	the	DET
ijassa-1412	40	5	proposed	propose	VERB
ijassa-1412	40	6	custom	custom	NOUN
ijassa-1412	40	7	dcnn	dcnn	ADJ
ijassa-1412	40	8	and	and	CCONJ
ijassa-1412	40	9	the	the	DET
ijassa-1412	40	10	cnn	cnn	PROPN
ijassa-1412	40	11	architectures	architecture	NOUN
ijassa-1412	40	12	,	,	PUNCT
ijassa-1412	40	13	used	use	VERB
ijassa-1412	40	14	for	for	ADP
ijassa-1412	40	15	road	road	NOUN
ijassa-1412	40	16	traffic	traffic	NOUN
ijassa-1412	40	17	classification	classification	NOUN
ijassa-1412	40	18	,	,	PUNCT
ijassa-1412	40	19	are	be	AUX
ijassa-1412	40	20	successively	successively	ADV
ijassa-1412	40	21	described	describe	VERB
ijassa-1412	40	22	.	.	PUNCT
ijassa-1412	41	1	in	in	ADP
ijassa-1412	41	2	section	section	NOUN
ijassa-1412	41	3	v	v	NOUN
ijassa-1412	41	4	,	,	PUNCT
ijassa-1412	41	5	after	after	ADP
ijassa-1412	41	6	an	an	DET
ijassa-1412	41	7	overview	overview	NOUN
ijassa-1412	41	8	of	of	ADP
ijassa-1412	41	9	the	the	DET
ijassa-1412	41	10	used	use	VERB
ijassa-1412	41	11	dataset	dataset	NOUN
ijassa-1412	41	12	,	,	PUNCT
ijassa-1412	41	13	the	the	DET
ijassa-1412	41	14	classification	classification	NOUN
ijassa-1412	41	15	results	result	NOUN
ijassa-1412	41	16	obtained	obtain	VERB
ijassa-1412	41	17	with	with	ADP
ijassa-1412	41	18	the	the	DET
ijassa-1412	41	19	methods	method	NOUN
ijassa-1412	41	20	based	base	VERB
ijassa-1412	41	21	on	on	ADP
ijassa-1412	41	22	these	these	DET
ijassa-1412	41	23	two	two	NUM
ijassa-1412	41	24	models	model	NOUN
ijassa-1412	41	25	are	be	AUX
ijassa-1412	41	26	analyzed	analyze	VERB
ijassa-1412	41	27	and	and	CCONJ
ijassa-1412	41	28	compared	compare	VERB
ijassa-1412	41	29	with	with	ADP
ijassa-1412	41	30	those	those	PRON
ijassa-1412	41	31	obtained	obtain	VERB
ijassa-1412	41	32	with	with	ADP
ijassa-1412	41	33	previous	previous	ADJ
ijassa-1412	41	34	works	work	NOUN
ijassa-1412	41	35	.	.	PUNCT
ijassa-1412	42	1	lastly	lastly	ADV
ijassa-1412	42	2	,	,	PUNCT
ijassa-1412	42	3	section	section	NOUN
ijassa-1412	42	4	vi	vi	PROPN
ijassa-1412	42	5	presents	present	VERB
ijassa-1412	42	6	some	some	DET
ijassa-1412	42	7	conclusions	conclusion	NOUN
ijassa-1412	42	8	.	.	PUNCT
ijassa-1412	43	1	2	2	X
ijassa-1412	43	2	.	.	X
ijassa-1412	43	3	related	relate	VERB
ijassa-1412	43	4	work	work	NOUN
ijassa-1412	43	5	there	there	PRON
ijassa-1412	43	6	are	be	VERB
ijassa-1412	43	7	two	two	NUM
ijassa-1412	43	8	major	major	ADJ
ijassa-1412	43	9	approaches	approach	NOUN
ijassa-1412	43	10	for	for	ADP
ijassa-1412	43	11	road	road	NOUN
ijassa-1412	43	12	traffic	traffic	NOUN
ijassa-1412	43	13	congestion	congestion	NOUN
ijassa-1412	43	14	classification	classification	NOUN
ijassa-1412	43	15	.	.	PUNCT
ijassa-1412	44	1	the	the	DET
ijassa-1412	44	2	first	first	ADJ
ijassa-1412	44	3	approach	approach	NOUN
ijassa-1412	44	4	,	,	PUNCT
ijassa-1412	44	5	known	know	VERB
ijassa-1412	44	6	as	as	ADP
ijassa-1412	44	7	the	the	DET
ijassa-1412	44	8	microscopic	microscopic	NOUN
ijassa-1412	44	9	[	[	X
ijassa-1412	44	10	2	2	NUM
ijassa-1412	44	11	]	]	PUNCT
ijassa-1412	44	12	approach	approach	NOUN
ijassa-1412	44	13	,	,	PUNCT
ijassa-1412	44	14	is	be	AUX
ijassa-1412	44	15	based	base	VERB
ijassa-1412	44	16	on	on	ADP
ijassa-1412	44	17	the	the	DET
ijassa-1412	44	18	extraction	extraction	NOUN
ijassa-1412	44	19	of	of	ADP
ijassa-1412	44	20	the	the	DET
ijassa-1412	44	21	movement	movement	NOUN
ijassa-1412	44	22	parameters	parameter	NOUN
ijassa-1412	44	23	of	of	ADP
ijassa-1412	44	24	individual	individual	ADJ
ijassa-1412	44	25	vehicles	vehicle	NOUN
ijassa-1412	44	26	;	;	PUNCT
ijassa-1412	44	27	it	it	PRON
ijassa-1412	44	28	thus	thus	ADV
ijassa-1412	44	29	requires	require	VERB
ijassa-1412	44	30	the	the	DET
ijassa-1412	44	31	detection	detection	NOUN
ijassa-1412	44	32	and	and	CCONJ
ijassa-1412	44	33	tracking	tracking	NOUN
ijassa-1412	44	34	of	of	ADP
ijassa-1412	44	35	all	all	DET
ijassa-1412	44	36	the	the	DET
ijassa-1412	44	37	vehicles	vehicle	NOUN
ijassa-1412	44	38	in	in	ADP
ijassa-1412	44	39	the	the	DET
ijassa-1412	44	40	region	region	NOUN
ijassa-1412	44	41	of	of	ADP
ijassa-1412	44	42	interest	interest	NOUN
ijassa-1412	44	43	.	.	PUNCT
ijassa-1412	45	1	the	the	DET
ijassa-1412	45	2	second	second	ADJ
ijassa-1412	45	3	approach	approach	NOUN
ijassa-1412	45	4	,	,	PUNCT
ijassa-1412	45	5	known	know	VERB
ijassa-1412	45	6	as	as	ADP
ijassa-1412	45	7	the	the	DET
ijassa-1412	45	8	macroscopic	macroscopic	NOUN
ijassa-1412	45	9	[	[	X
ijassa-1412	45	10	3	3	NUM
ijassa-1412	45	11	]	]	PUNCT
ijassa-1412	45	12	approach	approach	NOUN
ijassa-1412	45	13	,	,	PUNCT
ijassa-1412	45	14	analyses	analyse	VERB
ijassa-1412	45	15	the	the	DET
ijassa-1412	45	16	observed	observed	ADJ
ijassa-1412	45	17	scene	scene	NOUN
ijassa-1412	45	18	as	as	ADP
ijassa-1412	45	19	a	a	DET
ijassa-1412	45	20	whole	whole	NOUN
ijassa-1412	45	21	,	,	PUNCT
ijassa-1412	45	22	without	without	ADP
ijassa-1412	45	23	the	the	DET
ijassa-1412	45	24	need	need	NOUN
ijassa-1412	45	25	of	of	ADP
ijassa-1412	45	26	extracting	extract	VERB
ijassa-1412	45	27	the	the	DET
ijassa-1412	45	28	movement	movement	NOUN
ijassa-1412	45	29	parameters	parameter	NOUN
ijassa-1412	45	30	of	of	ADP
ijassa-1412	45	31	individual	individual	ADJ
ijassa-1412	45	32	vehicles	vehicle	NOUN
ijassa-1412	45	33	.	.	PUNCT
ijassa-1412	46	1	in	in	ADP
ijassa-1412	46	2	this	this	DET
ijassa-1412	46	3	approach	approach	NOUN
ijassa-1412	46	4	,	,	PUNCT
ijassa-1412	46	5	the	the	DET
ijassa-1412	46	6	flow	flow	NOUN
ijassa-1412	46	7	of	of	ADP
ijassa-1412	46	8	automobiles	automobile	NOUN
ijassa-1412	46	9	is	be	AUX
ijassa-1412	46	10	viewed	view	VERB
ijassa-1412	46	11	as	as	ADP
ijassa-1412	46	12	a	a	DET
ijassa-1412	46	13	liquid	liquid	NOUN
ijassa-1412	46	14	traveling	travel	VERB
ijassa-1412	46	15	through	through	ADP
ijassa-1412	46	16	a	a	DET
ijassa-1412	46	17	tube	tube	NOUN
ijassa-1412	46	18	,	,	PUNCT
ijassa-1412	46	19	making	make	VERB
ijassa-1412	46	20	it	it	PRON
ijassa-1412	46	21	very	very	ADV
ijassa-1412	46	22	responsive	responsive	ADJ
ijassa-1412	46	23	to	to	ADP
ijassa-1412	46	24	changing	change	VERB
ijassa-1412	46	25	road	road	NOUN
ijassa-1412	46	26	conditions	condition	NOUN
ijassa-1412	46	27	,	,	PUNCT
ijassa-1412	46	28	but	but	CCONJ
ijassa-1412	46	29	lacking	lack	VERB
ijassa-1412	46	30	specific	specific	ADJ
ijassa-1412	46	31	information	information	NOUN
ijassa-1412	46	32	about	about	ADP
ijassa-1412	46	33	individual	individual	ADJ
ijassa-1412	46	34	vehicles	vehicle	NOUN
ijassa-1412	46	35	motions	motion	NOUN
ijassa-1412	46	36	.	.	PUNCT
ijassa-1412	47	1	this	this	DET
ijassa-1412	47	2	characteristic	characteristic	NOUN
ijassa-1412	47	3	underpinned	underpin	VERB
ijassa-1412	47	4	our	our	PRON
ijassa-1412	47	5	decision	decision	NOUN
ijassa-1412	47	6	to	to	PART
ijassa-1412	47	7	adopt	adopt	VERB
ijassa-1412	47	8	the	the	DET
ijassa-1412	47	9	macroscopic	macroscopic	ADJ
ijassa-1412	47	10	approach	approach	NOUN
ijassa-1412	47	11	in	in	ADP
ijassa-1412	47	12	this	this	DET
ijassa-1412	47	13	research	research	NOUN
ijassa-1412	47	14	.	.	PUNCT
ijassa-1412	48	1	important	important	ADJ
ijassa-1412	48	2	efforts	effort	NOUN
ijassa-1412	48	3	have	have	AUX
ijassa-1412	48	4	been	be	AUX
ijassa-1412	48	5	made	make	VERB
ijassa-1412	48	6	in	in	ADP
ijassa-1412	48	7	the	the	DET
ijassa-1412	48	8	literature	literature	NOUN
ijassa-1412	48	9	in	in	ADP
ijassa-1412	48	10	the	the	DET
ijassa-1412	48	11	field	field	NOUN
ijassa-1412	48	12	of	of	ADP
ijassa-1412	48	13	nighttime	nighttime	ADJ
ijassa-1412	48	14	surveillance	surveillance	NOUN
ijassa-1412	48	15	systems	system	NOUN
ijassa-1412	48	16	and	and	CCONJ
ijassa-1412	48	17	image	image	NOUN
ijassa-1412	48	18	processing	processing	NOUN
ijassa-1412	48	19	.	.	PUNCT
ijassa-1412	49	1	c.	c.	PROPN
ijassa-1412	49	2	h.	h.	PROPN
ijassa-1412	49	3	hsia	hsia	PROPN
ijassa-1412	49	4	,	,	PUNCT
ijassa-1412	49	5	y.	y.	PROPN
ijassa-1412	49	6	kong	kong	PROPN
ijassa-1412	49	7	,	,	PUNCT
ijassa-1412	49	8	y.	y.	PROPN
ijassa-1412	49	9	k.	k.	PROPN
ijassa-1412	49	10	lin	lin	PROPN
ijassa-1412	49	11	,	,	PUNCT
ijassa-1412	49	12	and	and	CCONJ
ijassa-1412	49	13	y.	y.	PROPN
ijassa-1412	49	14	r.	r.	PROPN
ijassa-1412	49	15	chien	chien	PROPN
ijassa-1412	50	1	[	[	X
ijassa-1412	50	2	4	4	X
ijassa-1412	50	3	]	]	PUNCT
ijassa-1412	50	4	led	lead	VERB
ijassa-1412	50	5	a	a	DET
ijassa-1412	50	6	research	research	NOUN
ijassa-1412	50	7	team	team	NOUN
ijassa-1412	50	8	who	who	PRON
ijassa-1412	50	9	developed	develop	VERB
ijassa-1412	50	10	a	a	DET
ijassa-1412	50	11	technology	technology	NOUN
ijassa-1412	50	12	that	that	PRON
ijassa-1412	50	13	can	can	AUX
ijassa-1412	50	14	track	track	VERB
ijassa-1412	50	15	vehicle	vehicle	NOUN
ijassa-1412	50	16	headlights	headlight	NOUN
ijassa-1412	50	17	at	at	ADP
ijassa-1412	50	18	night	night	NOUN
ijassa-1412	50	19	using	use	VERB
ijassa-1412	50	20	multiple	multiple	ADJ
ijassa-1412	50	21	features	feature	NOUN
ijassa-1412	50	22	.	.	PUNCT
ijassa-1412	51	1	the	the	DET
ijassa-1412	51	2	technology	technology	NOUN
ijassa-1412	51	3	analyses	analyse	VERB
ijassa-1412	51	4	the	the	DET
ijassa-1412	51	5	distribution	distribution	NOUN
ijassa-1412	51	6	of	of	ADP
ijassa-1412	51	7	light	light	ADJ
ijassa-1412	51	8	sources	source	NOUN
ijassa-1412	51	9	in	in	ADP
ijassa-1412	51	10	each	each	DET
ijassa-1412	51	11	captured	capture	VERB
ijassa-1412	51	12	image	image	NOUN
ijassa-1412	51	13	and	and	CCONJ
ijassa-1412	51	14	separates	separate	VERB
ijassa-1412	51	15	the	the	DET
ijassa-1412	51	16	headlights	headlight	NOUN
ijassa-1412	51	17	based	base	VERB
ijassa-1412	51	18	on	on	ADP
ijassa-1412	51	19	their	their	PRON
ijassa-1412	51	20	length	length	NOUN
ijassa-1412	51	21	and	and	CCONJ
ijassa-1412	51	22	width	width	ADJ
ijassa-1412	51	23	ratios	ratio	NOUN
ijassa-1412	51	24	.	.	PUNCT
ijassa-1412	52	1	it	it	PRON
ijassa-1412	52	2	distinguishes	distinguish	VERB
ijassa-1412	52	3	between	between	ADP
ijassa-1412	52	4	vehicles	vehicle	NOUN
ijassa-1412	52	5	to	to	PART
ijassa-1412	52	6	avoid	avoid	VERB
ijassa-1412	52	7	counting	count	VERB
ijassa-1412	52	8	the	the	DET
ijassa-1412	52	9	same	same	ADJ
ijassa-1412	52	10	vehicle	vehicle	NOUN
ijassa-1412	52	11	twice	twice	ADV
ijassa-1412	52	12	.	.	PUNCT
ijassa-1412	53	1	based	base	VERB
ijassa-1412	53	2	on	on	ADP
ijassa-1412	53	3	their	their	PRON
ijassa-1412	53	4	space	space	NOUN
ijassa-1412	53	5	and	and	CCONJ
ijassa-1412	53	6	color	color	NOUN
ijassa-1412	53	7	characteristics	characteristic	NOUN
ijassa-1412	53	8	,	,	PUNCT
ijassa-1412	53	9	an	an	DET
ijassa-1412	53	10	algorithm	algorithm	NOUN
ijassa-1412	53	11	that	that	PRON
ijassa-1412	53	12	uses	use	VERB
ijassa-1412	53	13	similarity	similarity	NOUN
ijassa-1412	53	14	analysis	analysis	NOUN
ijassa-1412	53	15	is	be	AUX
ijassa-1412	53	16	used	use	VERB
ijassa-1412	53	17	to	to	PART
ijassa-1412	53	18	determine	determine	VERB
ijassa-1412	53	19	whether	whether	SCONJ
ijassa-1412	53	20	two	two	NUM
ijassa-1412	53	21	headlights	headlight	NOUN
ijassa-1412	53	22	belong	belong	VERB
ijassa-1412	53	23	to	to	ADP
ijassa-1412	53	24	the	the	DET
ijassa-1412	53	25	same	same	ADJ
ijassa-1412	53	26	vehicle	vehicle	NOUN
ijassa-1412	53	27	.	.	PUNCT
ijassa-1412	54	1	pushkar	pushkar	PROPN
ijassa-1412	54	2	s.	s.	PROPN
ijassa-1412	54	3	and	and	CCONJ
ijassa-1412	54	4	s.	s.	PROPN
ijassa-1412	54	5	b.	b.	PROPN
ijassa-1412	54	6	dhonde	dhonde	PROPN
ijassa-1412	55	1	[	[	X
ijassa-1412	55	2	5	5	NUM
ijassa-1412	55	3	]	]	PUNCT
ijassa-1412	55	4	devised	devise	VERB
ijassa-1412	55	5	a	a	DET
ijassa-1412	55	6	method	method	NOUN
ijassa-1412	55	7	for	for	ADP
ijassa-1412	55	8	detecting	detect	VERB
ijassa-1412	55	9	and	and	CCONJ
ijassa-1412	55	10	selecting	select	VERB
ijassa-1412	55	11	an	an	DET
ijassa-1412	55	12	appropriate	appropriate	ADJ
ijassa-1412	55	13	vehicle	vehicle	NOUN
ijassa-1412	55	14	beam	beam	NOUN
ijassa-1412	55	15	suitable	suitable	ADJ
ijassa-1412	55	16	for	for	ADP
ijassa-1412	55	17	temporary	temporary	ADJ
ijassa-1412	55	18	blindness	blindness	NOUN
ijassa-1412	55	19	reduction	reduction	NOUN
ijassa-1412	55	20	.	.	PUNCT
ijassa-1412	56	1	researchers	researcher	NOUN
ijassa-1412	56	2	used	use	VERB
ijassa-1412	56	3	two	two	NUM
ijassa-1412	56	4	methods	method	NOUN
ijassa-1412	56	5	to	to	PART
ijassa-1412	56	6	reduce	reduce	VERB
ijassa-1412	56	7	headlight	headlight	ADJ
ijassa-1412	56	8	glare	glare	NOUN
ijassa-1412	56	9	and	and	CCONJ
ijassa-1412	56	10	temporary	temporary	ADJ
ijassa-1412	56	11	blindness	blindness	NOUN
ijassa-1412	56	12	.	.	PUNCT
ijassa-1412	57	1	the	the	DET
ijassa-1412	57	2	image	image	NOUN
ijassa-1412	57	3	sequence	sequence	NOUN
ijassa-1412	57	4	is	be	AUX
ijassa-1412	57	5	then	then	ADV
ijassa-1412	57	6	analysed	analyse	VERB
ijassa-1412	57	7	to	to	PART
ijassa-1412	57	8	determine	determine	VERB
ijassa-1412	57	9	the	the	DET
ijassa-1412	57	10	presence	presence	NOUN
ijassa-1412	57	11	of	of	ADP
ijassa-1412	57	12	a	a	DET
ijassa-1412	57	13	vehicle	vehicle	NOUN
ijassa-1412	57	14	.	.	PUNCT
ijassa-1412	58	1	a	a	DET
ijassa-1412	58	2	light	light	ADJ
ijassa-1412	58	3	intensity	intensity	NOUN
ijassa-1412	58	4	sensor	sensor	NOUN
ijassa-1412	58	5	is	be	AUX
ijassa-1412	58	6	another	another	DET
ijassa-1412	58	7	option	option	NOUN
ijassa-1412	58	8	for	for	ADP
ijassa-1412	58	9	dealing	deal	VERB
ijassa-1412	58	10	with	with	ADP
ijassa-1412	58	11	temporary	temporary	ADJ
ijassa-1412	58	12	blindness	blindness	NOUN
ijassa-1412	58	13	.	.	PUNCT
ijassa-1412	59	1	another	another	DET
ijassa-1412	59	2	work	work	NOUN
ijassa-1412	59	3	was	be	AUX
ijassa-1412	59	4	presented	present	VERB
ijassa-1412	59	5	in	in	ADP
ijassa-1412	59	6	[	[	X
ijassa-1412	59	7	6	6	NUM
ijassa-1412	59	8	]	]	PUNCT
ijassa-1412	59	9	by	by	ADP
ijassa-1412	59	10	y.	y.	PROPN
ijassa-1412	59	11	l.	l.	PROPN
ijassa-1412	59	12	chen	chen	PROPN
ijassa-1412	59	13	,	,	PUNCT
ijassa-1412	59	14	b.	b.	PROPN
ijassa-1412	59	15	f.	f.	PROPN
ijassa-1412	59	16	wu	wu	PROPN
ijassa-1412	59	17	,	,	PUNCT
ijassa-1412	59	18	h.	h.	PROPN
ijassa-1412	59	19	y.	y.	PROPN
ijassa-1412	59	20	huang	huang	PROPN
ijassa-1412	59	21	,	,	PUNCT
ijassa-1412	59	22	and	and	CCONJ
ijassa-1412	59	23	c.	c.	PROPN
ijassa-1412	59	24	j.	j.	PROPN
ijassa-1412	59	25	fan	fan	PROPN
ijassa-1412	59	26	,	,	PUNCT
ijassa-1412	59	27	who	who	PRON
ijassa-1412	59	28	proposed	propose	VERB
ijassa-1412	59	29	a	a	DET
ijassa-1412	59	30	system	system	NOUN
ijassa-1412	59	31	for	for	ADP
ijassa-1412	59	32	identifying	identify	VERB
ijassa-1412	59	33	and	and	CCONJ
ijassa-1412	59	34	controlling	control	VERB
ijassa-1412	59	35	vehicles	vehicle	NOUN
ijassa-1412	59	36	at	at	ADP
ijassa-1412	59	37	night	night	NOUN
ijassa-1412	59	38	.	.	PUNCT
ijassa-1412	60	1	to	to	PART
ijassa-1412	60	2	distinguish	distinguish	VERB
ijassa-1412	60	3	vehicles	vehicle	NOUN
ijassa-1412	60	4	from	from	ADP
ijassa-1412	60	5	bright	bright	ADJ
ijassa-1412	60	6	objects	object	NOUN
ijassa-1412	60	7	in	in	ADP
ijassa-1412	60	8	image	image	NOUN
ijassa-1412	60	9	sequences	sequence	NOUN
ijassa-1412	60	10	,	,	PUNCT
ijassa-1412	60	11	the	the	DET
ijassa-1412	60	12	system	system	NOUN
ijassa-1412	60	13	employs	employ	VERB
ijassa-1412	60	14	automated	automate	VERB
ijassa-1412	60	15	multilevel	multilevel	ADJ
ijassa-1412	60	16	histogram	histogram	NOUN
ijassa-1412	60	17	thresholding	thresholding	NOUN
ijassa-1412	60	18	.	.	PUNCT
ijassa-1412	61	1	furthermore	furthermore	ADV
ijassa-1412	61	2	,	,	PUNCT
ijassa-1412	61	3	illuminating	illuminate	VERB
ijassa-1412	61	4	objects	object	NOUN
ijassa-1412	61	5	in	in	ADP
ijassa-1412	61	6	vehicle	vehicle	NOUN
ijassa-1412	61	7	lighting	lighting	NOUN
ijassa-1412	61	8	clusters	cluster	NOUN
ijassa-1412	61	9	are	be	AUX
ijassa-1412	61	10	grouped	group	VERB
ijassa-1412	61	11	using	use	VERB
ijassa-1412	61	12	a	a	DET
ijassa-1412	61	13	spatial	spatial	ADJ
ijassa-1412	61	14	analysis	analysis	NOUN
ijassa-1412	61	15	and	and	CCONJ
ijassa-1412	61	16	a	a	DET
ijassa-1412	61	17	clustering	clustering	ADJ
ijassa-1412	61	18	method	method	NOUN
ijassa-1412	61	19	based	base	VERB
ijassa-1412	61	20	on	on	ADP
ijassa-1412	61	21	their	their	PRON
ijassa-1412	61	22	likely	likely	ADJ
ijassa-1412	61	23	motion	motion	NOUN
ijassa-1412	61	24	across	across	ADP
ijassa-1412	61	25	successive	successive	ADJ
ijassa-1412	61	26	sofiane	sofiane	ADJ
ijassa-1412	61	27	abdelkrim	abdelkrim	PROPN
ijassa-1412	61	28	khalladi	khalladi	PROPN
ijassa-1412	61	29	,	,	PUNCT
ijassa-1412	61	30	asmâa	asmâa	PROPN
ijassa-1412	61	31	ouessai	ouessai	PROPN
ijassa-1412	61	32	,	,	PUNCT
ijassa-1412	61	33	mokhtar	mokhtar	PROPN
ijassa-1412	61	34	keche	keche	PROPN
ijassa-1412	61	35	131	131	NUM
ijassa-1412	61	36	copyright	copyright	NOUN
ijassa-1412	61	37	©	©	PROPN
ijassa-1412	61	38	2024	2024	NUM
ijassa-1412	61	39	assa	assa	NOUN
ijassa-1412	61	40	.	.	PUNCT
ijassa-1412	62	1	adv	adv	PROPN
ijassa-1412	62	2	.	.	PUNCT
ijassa-1412	63	1	in	in	ADP
ijassa-1412	63	2	systems	system	NOUN
ijassa-1412	63	3	science	science	NOUN
ijassa-1412	63	4	and	and	CCONJ
ijassa-1412	63	5	appl	appl	NOUN
ijassa-1412	63	6	.	.	PUNCT
ijassa-1412	64	1	(	(	PUNCT
ijassa-1412	64	2	2024	2024	NUM
ijassa-1412	64	3	)	)	PUNCT
ijassa-1412	64	4	frames	frame	NOUN
ijassa-1412	64	5	.	.	PUNCT
ijassa-1412	65	1	in	in	ADP
ijassa-1412	65	2	another	another	DET
ijassa-1412	65	3	research	research	NOUN
ijassa-1412	65	4	[	[	X
ijassa-1412	65	5	7	7	NUM
ijassa-1412	65	6	]	]	PUNCT
ijassa-1412	65	7	,	,	PUNCT
ijassa-1412	65	8	the	the	DET
ijassa-1412	65	9	proposed	propose	VERB
ijassa-1412	65	10	stereo	stereo	NOUN
ijassa-1412	65	11	configuration	configuration	NOUN
ijassa-1412	65	12	incorporates	incorporate	VERB
ijassa-1412	65	13	an	an	DET
ijassa-1412	65	14	alignment	alignment	NOUN
ijassa-1412	65	15	that	that	PRON
ijassa-1412	65	16	displaces	displace	VERB
ijassa-1412	65	17	the	the	DET
ijassa-1412	65	18	cameras	camera	NOUN
ijassa-1412	65	19	along	along	ADP
ijassa-1412	65	20	a	a	DET
ijassa-1412	65	21	vertical	vertical	ADJ
ijassa-1412	65	22	baseline	baseline	NOUN
ijassa-1412	65	23	to	to	PART
ijassa-1412	65	24	extract	extract	VERB
ijassa-1412	65	25	useful	useful	ADJ
ijassa-1412	65	26	information	information	NOUN
ijassa-1412	65	27	pertaining	pertain	VERB
ijassa-1412	65	28	to	to	ADP
ijassa-1412	65	29	negative	negative	ADJ
ijassa-1412	65	30	obstacle	obstacle	NOUN
ijassa-1412	65	31	features	feature	NOUN
ijassa-1412	65	32	for	for	ADP
ijassa-1412	65	33	various	various	ADJ
ijassa-1412	65	34	illustrative	illustrative	ADJ
ijassa-1412	65	35	terrain	terrain	NOUN
ijassa-1412	65	36	settings	setting	NOUN
ijassa-1412	65	37	.	.	PUNCT
ijassa-1412	66	1	the	the	DET
ijassa-1412	66	2	convex	convex	PROPN
ijassa-1412	66	3	framework	framework	NOUN
ijassa-1412	66	4	exploits	exploit	VERB
ijassa-1412	66	5	these	these	DET
ijassa-1412	66	6	properties	property	NOUN
ijassa-1412	66	7	to	to	PART
ijassa-1412	66	8	evaluate	evaluate	VERB
ijassa-1412	66	9	depth	depth	NOUN
ijassa-1412	66	10	jumps	jump	NOUN
ijassa-1412	66	11	in	in	ADP
ijassa-1412	66	12	the	the	DET
ijassa-1412	66	13	disparity	disparity	NOUN
ijassa-1412	66	14	space	space	NOUN
ijassa-1412	66	15	image	image	NOUN
ijassa-1412	66	16	and	and	CCONJ
ijassa-1412	66	17	perform	perform	VERB
ijassa-1412	66	18	geometrical	geometrical	ADJ
ijassa-1412	66	19	analysis	analysis	NOUN
ijassa-1412	66	20	of	of	ADP
ijassa-1412	66	21	potential	potential	ADJ
ijassa-1412	66	22	occlusion	occlusion	NOUN
ijassa-1412	66	23	regions	region	NOUN
ijassa-1412	66	24	.	.	PUNCT
ijassa-1412	67	1	the	the	DET
ijassa-1412	67	2	corresponding	correspond	VERB
ijassa-1412	67	3	convex	convex	NOUN
ijassa-1412	67	4	formulations	formulation	NOUN
ijassa-1412	67	5	are	be	AUX
ijassa-1412	67	6	based	base	VERB
ijassa-1412	67	7	on	on	ADP
ijassa-1412	67	8	linear	linear	ADJ
ijassa-1412	67	9	matrix	matrix	NOUN
ijassa-1412	67	10	inequalities	inequality	NOUN
ijassa-1412	67	11	to	to	PART
ijassa-1412	67	12	detect	detect	VERB
ijassa-1412	67	13	sudden	sudden	ADJ
ijassa-1412	67	14	disparity	disparity	NOUN
ijassa-1412	67	15	,	,	PUNCT
ijassa-1412	67	16	angle	angle	NOUN
ijassa-1412	67	17	profile	profile	NOUN
ijassa-1412	67	18	,	,	PUNCT
ijassa-1412	67	19	and	and	CCONJ
ijassa-1412	67	20	intensity	intensity	NOUN
ijassa-1412	67	21	variations	variation	NOUN
ijassa-1412	67	22	of	of	ADP
ijassa-1412	67	23	potential	potential	ADJ
ijassa-1412	67	24	negative	negative	ADJ
ijassa-1412	67	25	obstacles	obstacle	NOUN
ijassa-1412	67	26	and	and	CCONJ
ijassa-1412	67	27	to	to	PART
ijassa-1412	67	28	estimate	estimate	VERB
ijassa-1412	67	29	the	the	DET
ijassa-1412	67	30	internal	internal	ADJ
ijassa-1412	67	31	depth	depth	NOUN
ijassa-1412	67	32	of	of	ADP
ijassa-1412	67	33	the	the	DET
ijassa-1412	67	34	detected	detect	VERB
ijassa-1412	67	35	obstacles	obstacle	NOUN
ijassa-1412	67	36	.	.	PUNCT
ijassa-1412	68	1	experimental	experimental	ADJ
ijassa-1412	68	2	results	result	NOUN
ijassa-1412	68	3	demonstrate	demonstrate	VERB
ijassa-1412	68	4	that	that	SCONJ
ijassa-1412	68	5	consecutive	consecutive	ADJ
ijassa-1412	68	6	processes	process	NOUN
ijassa-1412	68	7	can	can	AUX
ijassa-1412	68	8	be	be	AUX
ijassa-1412	68	9	structured	structure	VERB
ijassa-1412	68	10	in	in	ADP
ijassa-1412	68	11	a	a	DET
ijassa-1412	68	12	convex	convex	NOUN
ijassa-1412	68	13	framework	framework	NOUN
ijassa-1412	68	14	to	to	PART
ijassa-1412	68	15	efficiently	efficiently	ADV
ijassa-1412	68	16	identify	identify	VERB
ijassa-1412	68	17	negative	negative	ADJ
ijassa-1412	68	18	obstacle	obstacle	NOUN
ijassa-1412	68	19	attributes	attribute	VERB
ijassa-1412	68	20	at	at	ADP
ijassa-1412	68	21	a	a	DET
ijassa-1412	68	22	range	range	NOUN
ijassa-1412	68	23	of	of	ADP
ijassa-1412	68	24	distances	distance	NOUN
ijassa-1412	68	25	,	,	PUNCT
ijassa-1412	68	26	for	for	ADP
ijassa-1412	68	27	texture	texture	ADJ
ijassa-1412	68	28	-	-	PUNCT
ijassa-1412	68	29	varying	vary	VERB
ijassa-1412	68	30	environments	environment	NOUN
ijassa-1412	68	31	,	,	PUNCT
ijassa-1412	68	32	providing	provide	VERB
ijassa-1412	68	33	a	a	DET
ijassa-1412	68	34	vital	vital	ADJ
ijassa-1412	68	35	extension	extension	NOUN
ijassa-1412	68	36	to	to	ADP
ijassa-1412	68	37	real	real	ADJ
ijassa-1412	68	38	-	-	PUNCT
ijassa-1412	68	39	time	time	NOUN
ijassa-1412	68	40	vehicular	vehicular	ADJ
ijassa-1412	68	41	system	system	NOUN
ijassa-1412	68	42	implementations	implementation	NOUN
ijassa-1412	68	43	with	with	ADP
ijassa-1412	68	44	superior	superior	ADJ
ijassa-1412	68	45	detection	detection	NOUN
ijassa-1412	68	46	rates	rate	NOUN
ijassa-1412	68	47	.	.	PUNCT
ijassa-1412	69	1	sayed	say	VERB
ijassa-1412	69	2	et	et	PROPN
ijassa-1412	69	3	al	al	PROPN
ijassa-1412	69	4	.	.	PUNCT
ijassa-1412	70	1	[	[	X
ijassa-1412	70	2	8	8	NUM
ijassa-1412	70	3	]	]	PUNCT
ijassa-1412	70	4	presented	present	VERB
ijassa-1412	70	5	an	an	DET
ijassa-1412	70	6	efficient	efficient	ADJ
ijassa-1412	70	7	approach	approach	NOUN
ijassa-1412	70	8	for	for	ADP
ijassa-1412	70	9	nighttime	nighttime	ADJ
ijassa-1412	70	10	contrast	contrast	NOUN
ijassa-1412	70	11	enhancement	enhancement	NOUN
ijassa-1412	70	12	that	that	PRON
ijassa-1412	70	13	alters	alter	VERB
ijassa-1412	70	14	standard	standard	ADJ
ijassa-1412	70	15	histogram	histogram	NOUN
ijassa-1412	70	16	equalization	equalization	NOUN
ijassa-1412	70	17	to	to	PART
ijassa-1412	70	18	keep	keep	VERB
ijassa-1412	70	19	the	the	DET
ijassa-1412	70	20	original	original	ADJ
ijassa-1412	70	21	nighttime	nighttime	NOUN
ijassa-1412	70	22	image	image	NOUN
ijassa-1412	70	23	's	's	PART
ijassa-1412	70	24	color	color	NOUN
ijassa-1412	70	25	information	information	NOUN
ijassa-1412	70	26	.	.	PUNCT
ijassa-1412	71	1	each	each	DET
ijassa-1412	71	2	color	color	NOUN
ijassa-1412	71	3	channel	channel	NOUN
ijassa-1412	71	4	is	be	AUX
ijassa-1412	71	5	improved	improve	VERB
ijassa-1412	71	6	separately	separately	ADV
ijassa-1412	71	7	by	by	ADP
ijassa-1412	71	8	multiplying	multiply	VERB
ijassa-1412	71	9	the	the	DET
ijassa-1412	71	10	increased	increase	VERB
ijassa-1412	71	11	brightness	brightness	NOUN
ijassa-1412	71	12	ratio	ratio	NOUN
ijassa-1412	71	13	by	by	ADP
ijassa-1412	71	14	the	the	DET
ijassa-1412	71	15	original	original	ADJ
ijassa-1412	71	16	luminance	luminance	NOUN
ijassa-1412	71	17	ratio	ratio	NOUN
ijassa-1412	71	18	.	.	PUNCT
ijassa-1412	72	1	furthermore	furthermore	ADV
ijassa-1412	72	2	,	,	PUNCT
ijassa-1412	72	3	cai	cai	PROPN
ijassa-1412	72	4	et	et	PROPN
ijassa-1412	72	5	al	al	PROPN
ijassa-1412	72	6	.	.	PUNCT
ijassa-1412	73	1	[	[	X
ijassa-1412	73	2	9	9	NUM
ijassa-1412	73	3	]	]	PUNCT
ijassa-1412	73	4	merge	merge	VERB
ijassa-1412	73	5	a	a	DET
ijassa-1412	73	6	daylight	daylight	NOUN
ijassa-1412	73	7	image	image	NOUN
ijassa-1412	73	8	with	with	ADP
ijassa-1412	73	9	a	a	DET
ijassa-1412	73	10	midnight	midnight	NOUN
ijassa-1412	73	11	image	image	NOUN
ijassa-1412	73	12	.	.	PUNCT
ijassa-1412	74	1	the	the	DET
ijassa-1412	74	2	low	low	ADJ
ijassa-1412	74	3	-	-	PUNCT
ijassa-1412	74	4	quality	quality	NOUN
ijassa-1412	74	5	static	static	ADJ
ijassa-1412	74	6	elements	element	NOUN
ijassa-1412	74	7	of	of	ADP
ijassa-1412	74	8	a	a	DET
ijassa-1412	74	9	nighttime	nighttime	ADJ
ijassa-1412	74	10	image	image	NOUN
ijassa-1412	74	11	can	can	AUX
ijassa-1412	74	12	be	be	AUX
ijassa-1412	74	13	replaced	replace	VERB
ijassa-1412	74	14	by	by	ADP
ijassa-1412	74	15	the	the	DET
ijassa-1412	74	16	high	high	ADJ
ijassa-1412	74	17	-	-	PUNCT
ijassa-1412	74	18	quality	quality	NOUN
ijassa-1412	74	19	counterparts	counterpart	NOUN
ijassa-1412	74	20	in	in	ADP
ijassa-1412	74	21	the	the	DET
ijassa-1412	74	22	daytime	daytime	ADJ
ijassa-1412	74	23	image	image	NOUN
ijassa-1412	74	24	,	,	PUNCT
ijassa-1412	74	25	using	use	VERB
ijassa-1412	74	26	the	the	DET
ijassa-1412	74	27	object	object	NOUN
ijassa-1412	74	28	extraction	extraction	NOUN
ijassa-1412	74	29	approach	approach	NOUN
ijassa-1412	74	30	.	.	PUNCT
ijassa-1412	75	1	liu	liu	PROPN
ijassa-1412	75	2	and	and	CCONJ
ijassa-1412	75	3	payeur	payeur	NOUN
ijassa-1412	76	1	[	[	X
ijassa-1412	76	2	10	10	NUM
ijassa-1412	76	3	]	]	PUNCT
ijassa-1412	76	4	attempted	attempt	VERB
ijassa-1412	76	5	to	to	PART
ijassa-1412	76	6	eliminate	eliminate	VERB
ijassa-1412	76	7	the	the	DET
ijassa-1412	76	8	static	static	ADJ
ijassa-1412	76	9	false	false	ADJ
ijassa-1412	76	10	positives	positive	NOUN
ijassa-1412	76	11	introduced	introduce	VERB
ijassa-1412	76	12	by	by	ADP
ijassa-1412	76	13	cucchiara	cucchiara	PROPN
ijassa-1412	76	14	's	's	PART
ijassa-1412	76	15	technique	technique	NOUN
ijassa-1412	76	16	[	[	X
ijassa-1412	76	17	11	11	NUM
ijassa-1412	76	18	]	]	PUNCT
ijassa-1412	76	19	by	by	ADP
ijassa-1412	76	20	performing	perform	VERB
ijassa-1412	76	21	background	background	NOUN
ijassa-1412	76	22	subtraction	subtraction	NOUN
ijassa-1412	76	23	before	before	ADP
ijassa-1412	76	24	detecting	detect	VERB
ijassa-1412	76	25	motion	motion	NOUN
ijassa-1412	76	26	.	.	PUNCT
ijassa-1412	77	1	this	this	DET
ijassa-1412	77	2	solution	solution	NOUN
ijassa-1412	77	3	,	,	PUNCT
ijassa-1412	77	4	however	however	ADV
ijassa-1412	77	5	,	,	PUNCT
ijassa-1412	77	6	can	can	AUX
ijassa-1412	77	7	not	not	PART
ijassa-1412	77	8	deal	deal	VERB
ijassa-1412	77	9	with	with	ADP
ijassa-1412	77	10	the	the	DET
ijassa-1412	77	11	moving	move	VERB
ijassa-1412	77	12	headlight	headlight	NOUN
ijassa-1412	77	13	's	's	PART
ijassa-1412	77	14	beam	beam	NOUN
ijassa-1412	77	15	.	.	PUNCT
ijassa-1412	78	1	it	it	PRON
ijassa-1412	78	2	is	be	AUX
ijassa-1412	78	3	also	also	ADV
ijassa-1412	78	4	not	not	PART
ijassa-1412	78	5	possible	possible	ADJ
ijassa-1412	78	6	to	to	PART
ijassa-1412	78	7	apply	apply	VERB
ijassa-1412	78	8	it	it	PRON
ijassa-1412	78	9	to	to	ADP
ijassa-1412	78	10	illuminated	illuminated	ADJ
ijassa-1412	78	11	road	road	NOUN
ijassa-1412	78	12	scenes	scene	NOUN
ijassa-1412	78	13	.	.	PUNCT
ijassa-1412	79	1	the	the	DET
ijassa-1412	79	2	concept	concept	NOUN
ijassa-1412	79	3	of	of	ADP
ijassa-1412	79	4	rear	rear	ADJ
ijassa-1412	79	5	-	-	PUNCT
ijassa-1412	79	6	view	view	NOUN
ijassa-1412	79	7	monitoring	monitoring	NOUN
ijassa-1412	79	8	was	be	AUX
ijassa-1412	79	9	first	first	ADV
ijassa-1412	79	10	proposed	propose	VERB
ijassa-1412	79	11	by	by	ADP
ijassa-1412	79	12	yoneyama	yoneyama	NOUN
ijassa-1412	79	13	et	et	PROPN
ijassa-1412	79	14	al	al	PROPN
ijassa-1412	79	15	.	.	PUNCT
ijassa-1412	80	1	[	[	X
ijassa-1412	80	2	12	12	NUM
ijassa-1412	80	3	]	]	PUNCT
ijassa-1412	80	4	who	who	PRON
ijassa-1412	80	5	,	,	PUNCT
ijassa-1412	80	6	in	in	ADP
ijassa-1412	80	7	order	order	NOUN
ijassa-1412	80	8	to	to	PART
ijassa-1412	80	9	improve	improve	VERB
ijassa-1412	80	10	detection	detection	NOUN
ijassa-1412	80	11	accuracy	accuracy	NOUN
ijassa-1412	80	12	,	,	PUNCT
ijassa-1412	80	13	installed	instal	VERB
ijassa-1412	80	14	two	two	NUM
ijassa-1412	80	15	cameras	camera	NOUN
ijassa-1412	80	16	that	that	PRON
ijassa-1412	80	17	detect	detect	VERB
ijassa-1412	80	18	both	both	DET
ijassa-1412	80	19	vehicle	vehicle	NOUN
ijassa-1412	80	20	headlights	headlight	NOUN
ijassa-1412	80	21	and	and	CCONJ
ijassa-1412	80	22	taillights	taillight	NOUN
ijassa-1412	80	23	,	,	PUNCT
ijassa-1412	80	24	where	where	SCONJ
ijassa-1412	80	25	in	in	ADP
ijassa-1412	80	26	the	the	DET
ijassa-1412	80	27	past	past	NOUN
ijassa-1412	80	28	,	,	PUNCT
ijassa-1412	80	29	most	most	ADJ
ijassa-1412	80	30	studies	study	NOUN
ijassa-1412	80	31	focused	focus	VERB
ijassa-1412	80	32	on	on	ADP
ijassa-1412	80	33	daytime	daytime	NOUN
ijassa-1412	80	34	traffic	traffic	NOUN
ijassa-1412	80	35	monitoring	monitoring	NOUN
ijassa-1412	80	36	[	[	X
ijassa-1412	80	37	13	13	NUM
ijassa-1412	80	38	]	]	PUNCT
ijassa-1412	80	39	.	.	PUNCT
ijassa-1412	81	1	however	however	ADV
ijassa-1412	81	2	,	,	PUNCT
ijassa-1412	81	3	the	the	DET
ijassa-1412	81	4	proposed	propose	VERB
ijassa-1412	81	5	solutions	solution	NOUN
ijassa-1412	81	6	may	may	AUX
ijassa-1412	81	7	not	not	PART
ijassa-1412	81	8	work	work	VERB
ijassa-1412	81	9	properly	properly	ADV
ijassa-1412	81	10	at	at	ADP
ijassa-1412	81	11	night	night	NOUN
ijassa-1412	81	12	.	.	PUNCT
ijassa-1412	82	1	it	it	PRON
ijassa-1412	82	2	should	should	AUX
ijassa-1412	82	3	be	be	AUX
ijassa-1412	82	4	reported	report	VERB
ijassa-1412	82	5	that	that	SCONJ
ijassa-1412	82	6	very	very	ADV
ijassa-1412	82	7	few	few	ADJ
ijassa-1412	82	8	papers	paper	NOUN
ijassa-1412	82	9	addressed	address	VERB
ijassa-1412	82	10	the	the	DET
ijassa-1412	82	11	problem	problem	NOUN
ijassa-1412	82	12	of	of	ADP
ijassa-1412	82	13	nighttime	nighttime	ADJ
ijassa-1412	82	14	traffic	traffic	NOUN
ijassa-1412	82	15	congestion	congestion	NOUN
ijassa-1412	82	16	classification	classification	NOUN
ijassa-1412	82	17	.	.	PUNCT
ijassa-1412	83	1	to	to	ADP
ijassa-1412	83	2	the	the	DET
ijassa-1412	83	3	best	good	ADJ
ijassa-1412	83	4	of	of	ADP
ijassa-1412	83	5	our	our	PRON
ijassa-1412	83	6	knowledge	knowledge	NOUN
ijassa-1412	83	7	,	,	PUNCT
ijassa-1412	83	8	the	the	DET
ijassa-1412	83	9	last	last	ADJ
ijassa-1412	83	10	work	work	NOUN
ijassa-1412	83	11	that	that	PRON
ijassa-1412	83	12	dealt	deal	VERB
ijassa-1412	83	13	with	with	ADP
ijassa-1412	83	14	this	this	DET
ijassa-1412	83	15	problem	problem	NOUN
ijassa-1412	83	16	dates	date	VERB
ijassa-1412	83	17	from	from	ADP
ijassa-1412	83	18	2013	2013	NUM
ijassa-1412	83	19	,	,	PUNCT
ijassa-1412	83	20	and	and	CCONJ
ijassa-1412	83	21	since	since	SCONJ
ijassa-1412	83	22	then	then	ADV
ijassa-1412	83	23	no	no	DET
ijassa-1412	83	24	other	other	ADJ
ijassa-1412	83	25	work	work	NOUN
ijassa-1412	83	26	with	with	ADP
ijassa-1412	83	27	improved	improved	ADJ
ijassa-1412	83	28	performance	performance	NOUN
ijassa-1412	83	29	was	be	AUX
ijassa-1412	83	30	published	publish	VERB
ijassa-1412	83	31	.	.	PUNCT
ijassa-1412	84	1	one	one	PRON
ijassa-1412	84	2	can	can	AUX
ijassa-1412	84	3	cite	cite	VERB
ijassa-1412	84	4	two	two	NUM
ijassa-1412	84	5	existing	exist	VERB
ijassa-1412	84	6	works	work	NOUN
ijassa-1412	84	7	that	that	PRON
ijassa-1412	84	8	estimate	estimate	VERB
ijassa-1412	84	9	the	the	DET
ijassa-1412	84	10	road	road	NOUN
ijassa-1412	84	11	traffic	traffic	NOUN
ijassa-1412	84	12	status	status	NOUN
ijassa-1412	84	13	from	from	ADP
ijassa-1412	84	14	videos	video	NOUN
ijassa-1412	84	15	recorded	record	VERB
ijassa-1412	84	16	in	in	ADP
ijassa-1412	84	17	the	the	DET
ijassa-1412	84	18	daytime	daytime	NOUN
ijassa-1412	84	19	and	and	CCONJ
ijassa-1412	84	20	the	the	DET
ijassa-1412	84	21	nighttime	nighttime	NOUN
ijassa-1412	84	22	.	.	PUNCT
ijassa-1412	85	1	the	the	DET
ijassa-1412	85	2	first	first	ADJ
ijassa-1412	85	3	one	one	NUM
ijassa-1412	85	4	[	[	X
ijassa-1412	85	5	14	14	NUM
ijassa-1412	85	6	]	]	PUNCT
ijassa-1412	85	7	is	be	AUX
ijassa-1412	85	8	based	base	VERB
ijassa-1412	85	9	on	on	ADP
ijassa-1412	85	10	scene	scene	NOUN
ijassa-1412	85	11	modeling	modeling	NOUN
ijassa-1412	85	12	by	by	ADP
ijassa-1412	85	13	dynamic	dynamic	ADJ
ijassa-1412	85	14	textures	texture	NOUN
ijassa-1412	85	15	and	and	CCONJ
ijassa-1412	85	16	classification	classification	NOUN
ijassa-1412	85	17	by	by	ADP
ijassa-1412	85	18	support	support	NOUN
ijassa-1412	85	19	vectors	vector	NOUN
ijassa-1412	85	20	machine	machine	NOUN
ijassa-1412	85	21	(	(	PUNCT
ijassa-1412	85	22	svm	svm	PROPN
ijassa-1412	85	23	)	)	PUNCT
ijassa-1412	85	24	.	.	PUNCT
ijassa-1412	86	1	the	the	DET
ijassa-1412	86	2	second	second	ADJ
ijassa-1412	86	3	one	one	NUM
ijassa-1412	86	4	[	[	X
ijassa-1412	86	5	15	15	NUM
ijassa-1412	86	6	]	]	X
ijassa-1412	86	7	uses	use	VERB
ijassa-1412	86	8	motion	motion	NOUN
ijassa-1412	86	9	vectors	vector	NOUN
ijassa-1412	86	10	estimation	estimation	NOUN
ijassa-1412	86	11	to	to	PART
ijassa-1412	86	12	extract	extract	VERB
ijassa-1412	86	13	the	the	DET
ijassa-1412	86	14	mean	mean	ADJ
ijassa-1412	86	15	traffic	traffic	NOUN
ijassa-1412	86	16	speed	speed	NOUN
ijassa-1412	86	17	and	and	CCONJ
ijassa-1412	86	18	density	density	NOUN
ijassa-1412	86	19	,	,	PUNCT
ijassa-1412	86	20	which	which	PRON
ijassa-1412	86	21	feed	feed	VERB
ijassa-1412	86	22	a	a	DET
ijassa-1412	86	23	svm	svm	ADJ
ijassa-1412	86	24	classifier	classifier	NOUN
ijassa-1412	86	25	that	that	PRON
ijassa-1412	86	26	categorizes	categorize	VERB
ijassa-1412	86	27	the	the	DET
ijassa-1412	86	28	traffic	traffic	NOUN
ijassa-1412	86	29	congestion	congestion	NOUN
ijassa-1412	86	30	.	.	PUNCT
ijassa-1412	87	1	five	five	NUM
ijassa-1412	87	2	years	year	NOUN
ijassa-1412	87	3	later	later	ADV
ijassa-1412	87	4	,	,	PUNCT
ijassa-1412	87	5	kurniawan	kurniawan	PROPN
ijassa-1412	87	6	,	,	PUNCT
ijassa-1412	87	7	j	j	PROPN
ijassa-1412	87	8	et	et	PROPN
ijassa-1412	87	9	al	al	PROPN
ijassa-1412	87	10	.	.	PUNCT
ijassa-1412	88	1	[	[	X
ijassa-1412	88	2	16	16	NUM
ijassa-1412	88	3	]	]	PUNCT
ijassa-1412	88	4	proposed	propose	VERB
ijassa-1412	88	5	a	a	DET
ijassa-1412	88	6	technique	technique	NOUN
ijassa-1412	88	7	that	that	PRON
ijassa-1412	88	8	uses	use	VERB
ijassa-1412	88	9	a	a	DET
ijassa-1412	88	10	cnn	cnn	NOUN
ijassa-1412	88	11	for	for	ADP
ijassa-1412	88	12	image	image	NOUN
ijassa-1412	88	13	classification	classification	NOUN
ijassa-1412	88	14	on	on	ADP
ijassa-1412	88	15	cctv	cctv	PROPN
ijassa-1412	88	16	camera	camera	NOUN
ijassa-1412	88	17	feeds	feed	NOUN
ijassa-1412	88	18	,	,	PUNCT
ijassa-1412	88	19	to	to	PART
ijassa-1412	88	20	create	create	VERB
ijassa-1412	88	21	an	an	DET
ijassa-1412	88	22	intelligent	intelligent	ADJ
ijassa-1412	88	23	traffic	traffic	NOUN
ijassa-1412	88	24	congestion	congestion	NOUN
ijassa-1412	88	25	detection	detection	NOUN
ijassa-1412	88	26	system	system	NOUN
ijassa-1412	88	27	.	.	PUNCT
ijassa-1412	89	1	this	this	DET
ijassa-1412	89	2	solution	solution	NOUN
ijassa-1412	89	3	requires	require	VERB
ijassa-1412	89	4	less	less	ADJ
ijassa-1412	89	5	preprocessing	preprocessing	NOUN
ijassa-1412	89	6	for	for	ADP
ijassa-1412	89	7	small	small	ADJ
ijassa-1412	89	8	grayscale	grayscale	NOUN
ijassa-1412	89	9	images	image	NOUN
ijassa-1412	89	10	than	than	ADP
ijassa-1412	89	11	traditional	traditional	ADJ
ijassa-1412	89	12	methods	method	NOUN
ijassa-1412	89	13	,	,	PUNCT
ijassa-1412	89	14	which	which	PRON
ijassa-1412	89	15	need	need	VERB
ijassa-1412	89	16	high	high	ADJ
ijassa-1412	89	17	-	-	PUNCT
ijassa-1412	89	18	quality	quality	NOUN
ijassa-1412	89	19	images	image	NOUN
ijassa-1412	89	20	and	and	CCONJ
ijassa-1412	89	21	manual	manual	ADJ
ijassa-1412	89	22	feature	feature	NOUN
ijassa-1412	89	23	calculation	calculation	NOUN
ijassa-1412	89	24	.	.	PUNCT
ijassa-1412	90	1	a	a	DET
ijassa-1412	90	2	dataset	dataset	NOUN
ijassa-1412	90	3	of	of	ADP
ijassa-1412	90	4	1000	1000	NUM
ijassa-1412	90	5	evenly	evenly	ADV
ijassa-1412	90	6	distributed	distribute	VERB
ijassa-1412	90	7	cctv	cctv	NOUN
ijassa-1412	90	8	monitoring	monitor	VERB
ijassa-1412	90	9	photos	photo	NOUN
ijassa-1412	90	10	was	be	AUX
ijassa-1412	90	11	used	use	VERB
ijassa-1412	90	12	to	to	PART
ijassa-1412	90	13	train	train	VERB
ijassa-1412	90	14	the	the	DET
ijassa-1412	90	15	cnn	cnn	PROPN
ijassa-1412	90	16	model	model	NOUN
ijassa-1412	90	17	by	by	ADP
ijassa-1412	90	18	binary	binary	ADJ
ijassa-1412	90	19	classification	classification	NOUN
ijassa-1412	90	20	.	.	PUNCT
ijassa-1412	91	1	the	the	DET
ijassa-1412	91	2	results	result	NOUN
ijassa-1412	91	3	revealed	reveal	VERB
ijassa-1412	91	4	that	that	SCONJ
ijassa-1412	91	5	a	a	DET
ijassa-1412	91	6	basic	basic	ADJ
ijassa-1412	91	7	cnn	cnn	NOUN
ijassa-1412	91	8	architecture	architecture	NOUN
ijassa-1412	91	9	is	be	AUX
ijassa-1412	91	10	effective	effective	ADJ
ijassa-1412	91	11	for	for	ADP
ijassa-1412	91	12	real	real	ADJ
ijassa-1412	91	13	-	-	PUNCT
ijassa-1412	91	14	time	time	NOUN
ijassa-1412	91	15	road	road	NOUN
ijassa-1412	91	16	traffic	traffic	NOUN
ijassa-1412	91	17	situation	situation	NOUN
ijassa-1412	91	18	assessment	assessment	NOUN
ijassa-1412	91	19	,	,	PUNCT
ijassa-1412	91	20	with	with	ADP
ijassa-1412	91	21	a	a	DET
ijassa-1412	91	22	high	high	ADJ
ijassa-1412	91	23	average	average	ADJ
ijassa-1412	91	24	classification	classification	NOUN
ijassa-1412	91	25	accuracy	accuracy	NOUN
ijassa-1412	91	26	of	of	ADP
ijassa-1412	91	27	89.50	89.50	NUM
ijassa-1412	91	28	%	%	NOUN
ijassa-1412	91	29	.	.	PUNCT
ijassa-1412	92	1	in	in	ADP
ijassa-1412	92	2	order	order	NOUN
ijassa-1412	92	3	to	to	PART
ijassa-1412	92	4	address	address	VERB
ijassa-1412	92	5	the	the	DET
ijassa-1412	92	6	need	need	NOUN
ijassa-1412	92	7	for	for	ADP
ijassa-1412	92	8	efficient	efficient	ADJ
ijassa-1412	92	9	traffic	traffic	NOUN
ijassa-1412	92	10	estimation	estimation	NOUN
ijassa-1412	92	11	in	in	ADP
ijassa-1412	92	12	low	low	ADJ
ijassa-1412	92	13	light	light	NOUN
ijassa-1412	92	14	to	to	PART
ijassa-1412	92	15	improve	improve	VERB
ijassa-1412	92	16	transportation	transportation	NOUN
ijassa-1412	92	17	management	management	NOUN
ijassa-1412	92	18	and	and	CCONJ
ijassa-1412	92	19	safety	safety	NOUN
ijassa-1412	92	20	,	,	PUNCT
ijassa-1412	92	21	this	this	DET
ijassa-1412	92	22	paper	paper	NOUN
ijassa-1412	92	23	presents	present	VERB
ijassa-1412	92	24	a	a	DET
ijassa-1412	92	25	framework	framework	NOUN
ijassa-1412	92	26	for	for	ADP
ijassa-1412	92	27	the	the	DET
ijassa-1412	92	28	classification	classification	NOUN
ijassa-1412	92	29	of	of	ADP
ijassa-1412	92	30	traffic	traffic	NOUN
ijassa-1412	92	31	congestion	congestion	NOUN
ijassa-1412	92	32	in	in	ADP
ijassa-1412	92	33	nighttime	nighttime	ADJ
ijassa-1412	92	34	films	film	NOUN
ijassa-1412	92	35	.	.	PUNCT
ijassa-1412	93	1	the	the	DET
ijassa-1412	93	2	suggested	suggest	VERB
ijassa-1412	93	3	approach	approach	NOUN
ijassa-1412	93	4	employs	employ	VERB
ijassa-1412	93	5	a	a	DET
ijassa-1412	93	6	deep	deep	ADJ
ijassa-1412	93	7	convolutional	convolutional	ADJ
ijassa-1412	93	8	neural	neural	ADJ
ijassa-1412	93	9	network	network	NOUN
ijassa-1412	93	10	(	(	PUNCT
ijassa-1412	93	11	dcnn	dcnn	PROPN
ijassa-1412	93	12	)	)	PUNCT
ijassa-1412	93	13	model	model	NOUN
ijassa-1412	93	14	,	,	PUNCT
ijassa-1412	93	15	which	which	PRON
ijassa-1412	93	16	was	be	AUX
ijassa-1412	93	17	designed	design	VERB
ijassa-1412	93	18	to	to	PART
ijassa-1412	93	19	provide	provide	VERB
ijassa-1412	93	20	accurate	accurate	ADJ
ijassa-1412	93	21	and	and	CCONJ
ijassa-1412	93	22	consistent	consistent	ADJ
ijassa-1412	93	23	assessment	assessment	NOUN
ijassa-1412	93	24	of	of	ADP
ijassa-1412	93	25	traffic	traffic	NOUN
ijassa-1412	93	26	congestion	congestion	NOUN
ijassa-1412	93	27	even	even	ADV
ijassa-1412	93	28	in	in	ADP
ijassa-1412	93	29	difficult	difficult	ADJ
ijassa-1412	93	30	environmental	environmental	ADJ
ijassa-1412	93	31	circumstances	circumstance	NOUN
ijassa-1412	93	32	.	.	PUNCT
ijassa-1412	94	1	the	the	DET
ijassa-1412	94	2	study	study	NOUN
ijassa-1412	94	3	comprises	comprise	VERB
ijassa-1412	94	4	several	several	ADJ
ijassa-1412	94	5	contributions	contribution	NOUN
ijassa-1412	94	6	,	,	PUNCT
ijassa-1412	94	7	which	which	PRON
ijassa-1412	94	8	are	be	AUX
ijassa-1412	94	9	listed	list	VERB
ijassa-1412	94	10	below	below	ADV
ijassa-1412	94	11	:	:	PUNCT
ijassa-1412	94	12			PRON
ijassa-1412	94	13	we	we	PRON
ijassa-1412	94	14	propose	propose	VERB
ijassa-1412	94	15	a	a	DET
ijassa-1412	94	16	macroscopic	macroscopic	ADJ
ijassa-1412	94	17	technique	technique	NOUN
ijassa-1412	94	18	that	that	PRON
ijassa-1412	94	19	,	,	PUNCT
ijassa-1412	94	20	unlike	unlike	ADP
ijassa-1412	94	21	the	the	DET
ijassa-1412	94	22	traditional	traditional	ADJ
ijassa-1412	94	23	microscopic	microscopic	ADJ
ijassa-1412	94	24	technique	technique	NOUN
ijassa-1412	94	25	,	,	PUNCT
ijassa-1412	94	26	does	do	AUX
ijassa-1412	94	27	not	not	PART
ijassa-1412	94	28	require	require	VERB
ijassa-1412	94	29	vehicle	vehicle	NOUN
ijassa-1412	94	30	identification	identification	NOUN
ijassa-1412	94	31	and	and	CCONJ
ijassa-1412	94	32	tracking	tracking	NOUN
ijassa-1412	94	33	.	.	PUNCT
ijassa-1412	95	1			X
ijassa-1412	95	2	excellent	excellent	ADJ
ijassa-1412	95	3	performance	performance	NOUN
ijassa-1412	95	4	is	be	AUX
ijassa-1412	95	5	achieved	achieve	VERB
ijassa-1412	95	6	by	by	ADP
ijassa-1412	95	7	our	our	PRON
ijassa-1412	95	8	proposed	propose	VERB
ijassa-1412	95	9	dcnn	dcnn	PROPN
ijassa-1412	95	10	model	model	PROPN
ijassa-1412	95	11	,	,	PUNCT
ijassa-1412	95	12	when	when	SCONJ
ijassa-1412	95	13	applied	apply	VERB
ijassa-1412	95	14	to	to	ADP
ijassa-1412	95	15	the	the	DET
ijassa-1412	95	16	nighttime	nighttime	NOUN
ijassa-1412	95	17	ucsd	ucsd	PROPN
ijassa-1412	95	18	dataset	dataset	PROPN
ijassa-1412	95	19	.	.	PUNCT
ijassa-1412	96	1			X
ijassa-1412	96	2	our	our	PRON
ijassa-1412	96	3	work	work	NOUN
ijassa-1412	96	4	focuses	focus	VERB
ijassa-1412	96	5	on	on	ADP
ijassa-1412	96	6	road	road	NOUN
ijassa-1412	96	7	traffic	traffic	NOUN
ijassa-1412	96	8	categorization	categorization	NOUN
ijassa-1412	96	9	during	during	ADP
ijassa-1412	96	10	night	night	NOUN
ijassa-1412	96	11	and	and	CCONJ
ijassa-1412	96	12	puts	put	VERB
ijassa-1412	96	13	an	an	DET
ijassa-1412	96	14	end	end	NOUN
ijassa-1412	96	15	to	to	ADP
ijassa-1412	96	16	the	the	DET
ijassa-1412	96	17	dearth	dearth	NOUN
ijassa-1412	96	18	of	of	ADP
ijassa-1412	96	19	works	work	NOUN
ijassa-1412	96	20	in	in	ADP
ijassa-1412	96	21	this	this	DET
ijassa-1412	96	22	area	area	NOUN
ijassa-1412	96	23	since	since	SCONJ
ijassa-1412	96	24	2018	2018	NUM
ijassa-1412	96	25	.	.	PUNCT
ijassa-1412	97	1			NOUN
ijassa-1412	97	2	we	we	PRON
ijassa-1412	97	3	use	use	VERB
ijassa-1412	97	4	video	video	NOUN
ijassa-1412	97	5	footage	footage	NOUN
ijassa-1412	97	6	taken	take	VERB
ijassa-1412	97	7	in	in	ADP
ijassa-1412	97	8	a	a	DET
ijassa-1412	97	9	variety	variety	NOUN
ijassa-1412	97	10	of	of	ADP
ijassa-1412	97	11	weather	weather	NOUN
ijassa-1412	97	12	conditions	condition	NOUN
ijassa-1412	97	13	and	and	CCONJ
ijassa-1412	97	14	difficult	difficult	ADJ
ijassa-1412	97	15	lighting	lighting	NOUN
ijassa-1412	97	16	circumstances	circumstance	NOUN
ijassa-1412	97	17	,	,	PUNCT
ijassa-1412	97	18	including	include	VERB
ijassa-1412	97	19	at	at	ADP
ijassa-1412	97	20	night	night	NOUN
ijassa-1412	97	21	,	,	PUNCT
ijassa-1412	97	22	to	to	PART
ijassa-1412	97	23	systematically	systematically	ADV
ijassa-1412	97	24	classify	classify	VERB
ijassa-1412	97	25	traffic	traffic	NOUN
ijassa-1412	97	26	congestion	congestion	NOUN
ijassa-1412	97	27	.	.	PUNCT
ijassa-1412	98	1	sofiane	sofiane	ADJ
ijassa-1412	98	2	abdelkrim	abdelkrim	PROPN
ijassa-1412	98	3	khalladi	khalladi	PROPN
ijassa-1412	98	4	,	,	PUNCT
ijassa-1412	98	5	asmâa	asmâa	PROPN
ijassa-1412	98	6	ouessai	ouessai	PROPN
ijassa-1412	98	7	,	,	PUNCT
ijassa-1412	98	8	mokhtar	mokhtar	PROPN
ijassa-1412	98	9	keche	keche	NOUN
ijassa-1412	98	10	132	132	NUM
ijassa-1412	98	11	copyright	copyright	NOUN
ijassa-1412	98	12	©	©	PROPN
ijassa-1412	98	13	2024	2024	NUM
ijassa-1412	98	14	assa	assa	PROPN
ijassa-1412	98	15	adv	adv	PROPN
ijassa-1412	98	16	.	.	PUNCT
ijassa-1412	99	1	in	in	ADP
ijassa-1412	99	2	systems	system	NOUN
ijassa-1412	99	3	science	science	NOUN
ijassa-1412	99	4	and	and	CCONJ
ijassa-1412	99	5	appl	appl	NOUN
ijassa-1412	99	6	.	.	PUNCT
ijassa-1412	100	1	(	(	PUNCT
ijassa-1412	100	2	2024	2024	NUM
ijassa-1412	100	3	)	)	PUNCT
ijassa-1412	101	1			NOUN
ijassa-1412	101	2	we	we	PRON
ijassa-1412	101	3	tested	test	VERB
ijassa-1412	101	4	the	the	DET
ijassa-1412	101	5	same	same	ADJ
ijassa-1412	101	6	architecture	architecture	NOUN
ijassa-1412	101	7	for	for	ADP
ijassa-1412	101	8	a	a	DET
ijassa-1412	101	9	recent	recent	ADJ
ijassa-1412	101	10	research	research	NOUN
ijassa-1412	101	11	paper	paper	NOUN
ijassa-1412	102	1	[	[	X
ijassa-1412	102	2	16	16	NUM
ijassa-1412	102	3	]	]	PUNCT
ijassa-1412	102	4	which	which	PRON
ijassa-1412	102	5	used	use	VERB
ijassa-1412	102	6	a	a	DET
ijassa-1412	102	7	different	different	ADJ
ijassa-1412	102	8	cnn	cnn	NOUN
ijassa-1412	102	9	model	model	NOUN
ijassa-1412	102	10	to	to	PART
ijassa-1412	102	11	classify	classify	VERB
ijassa-1412	102	12	traffic	traffic	NOUN
ijassa-1412	102	13	,	,	PUNCT
ijassa-1412	102	14	on	on	ADP
ijassa-1412	102	15	the	the	DET
ijassa-1412	102	16	ucsd	ucsd	PROPN
ijassa-1412	102	17	nighttime	nighttime	NOUN
ijassa-1412	102	18	dataset	dataset	NOUN
ijassa-1412	102	19	.	.	PUNCT
ijassa-1412	103	1	the	the	DET
ijassa-1412	103	2	aim	aim	NOUN
ijassa-1412	103	3	was	be	AUX
ijassa-1412	103	4	to	to	PART
ijassa-1412	103	5	compare	compare	VERB
ijassa-1412	103	6	and	and	CCONJ
ijassa-1412	103	7	demonstrate	demonstrate	VERB
ijassa-1412	103	8	the	the	DET
ijassa-1412	103	9	effectiveness	effectiveness	NOUN
ijassa-1412	103	10	of	of	ADP
ijassa-1412	103	11	the	the	DET
ijassa-1412	103	12	best	well	ADV
ijassa-1412	103	13	-	-	PUNCT
ijassa-1412	103	14	performing	perform	VERB
ijassa-1412	103	15	model	model	NOUN
ijassa-1412	103	16	.	.	PUNCT
ijassa-1412	104	1			PRON
ijassa-1412	104	2	our	our	PRON
ijassa-1412	104	3	method	method	NOUN
ijassa-1412	104	4	outperforms	outperform	VERB
ijassa-1412	104	5	the	the	DET
ijassa-1412	104	6	three	three	NUM
ijassa-1412	104	7	state	state	NOUN
ijassa-1412	104	8	of	of	ADP
ijassa-1412	104	9	art	art	NOUN
ijassa-1412	104	10	methods	method	NOUN
ijassa-1412	104	11	in	in	ADP
ijassa-1412	104	12	terms	term	NOUN
ijassa-1412	104	13	of	of	ADP
ijassa-1412	104	14	classification	classification	NOUN
ijassa-1412	104	15	accuracy	accuracy	NOUN
ijassa-1412	104	16	.	.	PUNCT
ijassa-1412	105	1	3	3	X
ijassa-1412	105	2	.	.	X
ijassa-1412	105	3	convolutional	convolutional	ADJ
ijassa-1412	105	4	neural	neural	ADJ
ijassa-1412	105	5	network	network	NOUN
ijassa-1412	105	6	:	:	PUNCT
ijassa-1412	105	7	an	an	DET
ijassa-1412	105	8	overview	overview	NOUN
ijassa-1412	105	9	the	the	DET
ijassa-1412	105	10	success	success	NOUN
ijassa-1412	105	11	of	of	ADP
ijassa-1412	105	12	traditional	traditional	ADJ
ijassa-1412	105	13	methods	method	NOUN
ijassa-1412	105	14	in	in	ADP
ijassa-1412	105	15	solving	solve	VERB
ijassa-1412	105	16	computer	computer	NOUN
ijassa-1412	105	17	vision	vision	NOUN
ijassa-1412	105	18	problems	problem	NOUN
ijassa-1412	105	19	is	be	AUX
ijassa-1412	105	20	largely	largely	ADV
ijassa-1412	105	21	dependent	dependent	ADJ
ijassa-1412	105	22	on	on	ADP
ijassa-1412	105	23	the	the	DET
ijassa-1412	105	24	feature	feature	NOUN
ijassa-1412	105	25	extraction	extraction	NOUN
ijassa-1412	105	26	procedure	procedure	NOUN
ijassa-1412	105	27	.	.	PUNCT
ijassa-1412	106	1	convolutional	convolutional	ADJ
ijassa-1412	106	2	neural	neural	ADJ
ijassa-1412	106	3	networks	network	NOUN
ijassa-1412	106	4	(	(	PUNCT
ijassa-1412	106	5	cnn	cnn	PROPN
ijassa-1412	106	6	)	)	PUNCT
ijassa-1412	107	1	[	[	X
ijassa-1412	107	2	17	17	NUM
ijassa-1412	107	3	]	]	PUNCT
ijassa-1412	107	4	,	,	PUNCT
ijassa-1412	107	5	on	on	ADP
ijassa-1412	107	6	the	the	DET
ijassa-1412	107	7	other	other	ADJ
ijassa-1412	107	8	hand	hand	NOUN
ijassa-1412	107	9	,	,	PUNCT
ijassa-1412	107	10	provide	provide	VERB
ijassa-1412	107	11	an	an	DET
ijassa-1412	107	12	alternative	alternative	NOUN
ijassa-1412	107	13	by	by	ADP
ijassa-1412	107	14	automatically	automatically	ADV
ijassa-1412	107	15	picking	pick	VERB
ijassa-1412	107	16	up	up	ADP
ijassa-1412	107	17	domain	domain	NOUN
ijassa-1412	107	18	-	-	PUNCT
ijassa-1412	107	19	specific	specific	ADJ
ijassa-1412	107	20	information	information	NOUN
ijassa-1412	107	21	.	.	PUNCT
ijassa-1412	108	1	this	this	DET
ijassa-1412	108	2	paradigm	paradigm	NOUN
ijassa-1412	108	3	change	change	NOUN
ijassa-1412	108	4	has	have	AUX
ijassa-1412	108	5	led	lead	VERB
ijassa-1412	108	6	to	to	ADP
ijassa-1412	108	7	a	a	DET
ijassa-1412	108	8	reassessment	reassessment	NOUN
ijassa-1412	108	9	of	of	ADP
ijassa-1412	108	10	several	several	ADJ
ijassa-1412	108	11	issues	issue	NOUN
ijassa-1412	108	12	in	in	ADP
ijassa-1412	108	13	the	the	DET
ijassa-1412	108	14	context	context	NOUN
ijassa-1412	108	15	of	of	ADP
ijassa-1412	108	16	computer	computer	NOUN
ijassa-1412	108	17	vision	vision	NOUN
ijassa-1412	108	18	as	as	ADP
ijassa-1412	108	19	a	a	DET
ijassa-1412	108	20	whole	whole	NOUN
ijassa-1412	108	21	.	.	PUNCT
ijassa-1412	109	1	currently	currently	ADV
ijassa-1412	109	2	,	,	PUNCT
ijassa-1412	109	3	face	face	NOUN
ijassa-1412	109	4	recognition	recognition	NOUN
ijassa-1412	109	5	,	,	PUNCT
ijassa-1412	109	6	object	object	VERB
ijassa-1412	109	7	identification	identification	NOUN
ijassa-1412	109	8	,	,	PUNCT
ijassa-1412	109	9	scene	scene	NOUN
ijassa-1412	109	10	labeling	labeling	NOUN
ijassa-1412	109	11	,	,	PUNCT
ijassa-1412	109	12	and	and	CCONJ
ijassa-1412	109	13	image	image	NOUN
ijassa-1412	109	14	categorization	categorization	NOUN
ijassa-1412	109	15	are	be	AUX
ijassa-1412	109	16	all	all	PRON
ijassa-1412	109	17	accomplished	accomplish	VERB
ijassa-1412	109	18	by	by	ADP
ijassa-1412	109	19	means	mean	NOUN
ijassa-1412	109	20	of	of	ADP
ijassa-1412	109	21	cnns	cnn	NOUN
ijassa-1412	109	22	,	,	PUNCT
ijassa-1412	109	23	with	with	ADP
ijassa-1412	109	24	an	an	DET
ijassa-1412	109	25	improved	improved	ADJ
ijassa-1412	109	26	performance	performance	NOUN
ijassa-1412	109	27	,	,	PUNCT
ijassa-1412	109	28	compared	compare	VERB
ijassa-1412	109	29	to	to	ADP
ijassa-1412	109	30	traditional	traditional	ADJ
ijassa-1412	109	31	methods	method	NOUN
ijassa-1412	109	32	.	.	PUNCT
ijassa-1412	110	1	3.1	3.1	NUM
ijassa-1412	110	2	.	.	PUNCT
ijassa-1412	110	3	cnn	cnn	PROPN
ijassa-1412	110	4	architecture	architecture	VERB
ijassa-1412	110	5	a	a	DET
ijassa-1412	110	6	convolutional	convolutional	ADJ
ijassa-1412	110	7	neural	neural	ADJ
ijassa-1412	110	8	network	network	NOUN
ijassa-1412	110	9	is	be	AUX
ijassa-1412	110	10	composed	compose	VERB
ijassa-1412	110	11	of	of	ADP
ijassa-1412	110	12	several	several	ADJ
ijassa-1412	110	13	types	type	NOUN
ijassa-1412	110	14	of	of	ADP
ijassa-1412	110	15	layers	layer	NOUN
ijassa-1412	110	16	that	that	PRON
ijassa-1412	110	17	are	be	AUX
ijassa-1412	110	18	described	describe	VERB
ijassa-1412	110	19	below	below	ADP
ijassa-1412	110	20	:	:	PUNCT
ijassa-1412	110	21	convolutional	convolutional	ADJ
ijassa-1412	110	22	layers	layer	NOUN
ijassa-1412	110	23	,	,	PUNCT
ijassa-1412	110	24	pooling	pool	VERB
ijassa-1412	110	25	layers	layer	NOUN
ijassa-1412	110	26	and	and	CCONJ
ijassa-1412	110	27	fully	fully	ADV
ijassa-1412	110	28	connected	connected	ADJ
ijassa-1412	110	29	layers	layer	NOUN
ijassa-1412	110	30	.	.	PUNCT
ijassa-1412	111	1	3.1.1	3.1.1	X
ijassa-1412	111	2	.	.	PUNCT
ijassa-1412	111	3	convolution	convolution	NOUN
ijassa-1412	111	4	layer	layer	NOUN
ijassa-1412	111	5	to	to	PART
ijassa-1412	111	6	extract	extract	VERB
ijassa-1412	111	7	information	information	NOUN
ijassa-1412	111	8	,	,	PUNCT
ijassa-1412	111	9	the	the	DET
ijassa-1412	111	10	convolutional	convolutional	ADJ
ijassa-1412	111	11	layer	layer	NOUN
ijassa-1412	112	1	[	[	X
ijassa-1412	112	2	18	18	NUM
ijassa-1412	112	3	]	]	PUNCT
ijassa-1412	112	4	,	,	PUNCT
ijassa-1412	112	5	leverages	leverage	VERB
ijassa-1412	112	6	local	local	ADJ
ijassa-1412	112	7	correlations	correlation	NOUN
ijassa-1412	112	8	within	within	ADP
ijassa-1412	112	9	the	the	DET
ijassa-1412	112	10	image	image	NOUN
ijassa-1412	112	11	.	.	PUNCT
ijassa-1412	113	1	the	the	DET
ijassa-1412	113	2	process	process	NOUN
ijassa-1412	113	3	entails	entail	VERB
ijassa-1412	113	4	inserting	insert	VERB
ijassa-1412	113	5	a	a	DET
ijassa-1412	113	6	kernel	kernel	NOUN
ijassa-1412	113	7	in	in	ADP
ijassa-1412	113	8	the	the	DET
ijassa-1412	113	9	image	image	NOUN
ijassa-1412	113	10	's	's	PART
ijassa-1412	113	11	upper	upper	ADV
ijassa-1412	113	12	-	-	PUNCT
ijassa-1412	113	13	left	left	ADJ
ijassa-1412	113	14	corner	corner	NOUN
ijassa-1412	113	15	.	.	PUNCT
ijassa-1412	114	1	the	the	DET
ijassa-1412	114	2	pixel	pixel	PROPN
ijassa-1412	114	3	values	value	NOUN
ijassa-1412	114	4	within	within	ADP
ijassa-1412	114	5	the	the	DET
ijassa-1412	114	6	kernel	kernel	NOUN
ijassa-1412	114	7	's	's	PART
ijassa-1412	114	8	coverage	coverage	NOUN
ijassa-1412	114	9	are	be	AUX
ijassa-1412	114	10	multiplied	multiply	VERB
ijassa-1412	114	11	by	by	ADP
ijassa-1412	114	12	the	the	DET
ijassa-1412	114	13	corresponding	corresponding	ADJ
ijassa-1412	114	14	kernel	kernel	PROPN
ijassa-1412	114	15	values	value	NOUN
ijassa-1412	114	16	,	,	PUNCT
ijassa-1412	114	17	and	and	CCONJ
ijassa-1412	114	18	the	the	DET
ijassa-1412	114	19	results	result	NOUN
ijassa-1412	114	20	are	be	AUX
ijassa-1412	114	21	added	add	VERB
ijassa-1412	114	22	to	to	ADP
ijassa-1412	114	23	the	the	DET
ijassa-1412	114	24	bias	bias	NOUN
ijassa-1412	114	25	.	.	PUNCT
ijassa-1412	115	1	the	the	DET
ijassa-1412	115	2	kernel	kernel	NOUN
ijassa-1412	115	3	is	be	AUX
ijassa-1412	115	4	then	then	ADV
ijassa-1412	115	5	shifted	shift	VERB
ijassa-1412	115	6	by	by	ADP
ijassa-1412	115	7	one	one	NUM
ijassa-1412	115	8	pixel	pixel	NOUN
ijassa-1412	115	9	,	,	PUNCT
ijassa-1412	115	10	and	and	CCONJ
ijassa-1412	115	11	the	the	DET
ijassa-1412	115	12	process	process	NOUN
ijassa-1412	115	13	is	be	AUX
ijassa-1412	115	14	continued	continue	VERB
ijassa-1412	115	15	recursively	recursively	ADV
ijassa-1412	115	16	until	until	SCONJ
ijassa-1412	115	17	all	all	DET
ijassa-1412	115	18	feasible	feasible	ADJ
ijassa-1412	115	19	locations	location	NOUN
ijassa-1412	115	20	in	in	ADP
ijassa-1412	115	21	the	the	DET
ijassa-1412	115	22	image	image	NOUN
ijassa-1412	115	23	have	have	AUX
ijassa-1412	115	24	been	be	AUX
ijassa-1412	115	25	filtered	filter	VERB
ijassa-1412	115	26	.	.	PUNCT
ijassa-1412	116	1	figure	figure	NOUN
ijassa-1412	116	2	1	1	NUM
ijassa-1412	116	3	depicts	depict	VERB
ijassa-1412	116	4	the	the	DET
ijassa-1412	116	5	convolution	convolution	NOUN
ijassa-1412	116	6	operation	operation	NOUN
ijassa-1412	116	7	.	.	PUNCT
ijassa-1412	117	1	fig	fig	NOUN
ijassa-1412	117	2	.	.	PUNCT
ijassa-1412	118	1	1	1	X
ijassa-1412	118	2	.	.	X
ijassa-1412	118	3	convolution	convolution	NOUN
ijassa-1412	118	4	process	process	NOUN
ijassa-1412	118	5	operation	operation	NOUN
ijassa-1412	118	6	3.1.2	3.1.2	NUM
ijassa-1412	118	7	.	.	PUNCT
ijassa-1412	119	1	pooling	pool	VERB
ijassa-1412	119	2	layer	layer	NOUN
ijassa-1412	119	3	the	the	DET
ijassa-1412	119	4	pooling	pool	VERB
ijassa-1412	119	5	layer	layer	NOUN
ijassa-1412	119	6	[	[	X
ijassa-1412	119	7	19	19	NUM
ijassa-1412	119	8	]	]	PUNCT
ijassa-1412	119	9	provides	provide	VERB
ijassa-1412	119	10	the	the	DET
ijassa-1412	119	11	model	model	NOUN
ijassa-1412	119	12	translation	translation	NOUN
ijassa-1412	119	13	,	,	PUNCT
ijassa-1412	119	14	rotation	rotation	NOUN
ijassa-1412	119	15	,	,	PUNCT
ijassa-1412	119	16	and	and	CCONJ
ijassa-1412	119	17	scaling	scale	VERB
ijassa-1412	119	18	invariance	invariance	NOUN
ijassa-1412	119	19	while	while	SCONJ
ijassa-1412	119	20	sampling	sample	VERB
ijassa-1412	119	21	to	to	PART
ijassa-1412	119	22	extract	extract	VERB
ijassa-1412	119	23	features	feature	NOUN
ijassa-1412	119	24	from	from	ADP
ijassa-1412	119	25	the	the	DET
ijassa-1412	119	26	higher	high	ADJ
ijassa-1412	119	27	layer	layer	NOUN
ijassa-1412	119	28	's	's	PART
ijassa-1412	119	29	feature	feature	NOUN
ijassa-1412	119	30	map	map	NOUN
ijassa-1412	119	31	.	.	PUNCT
ijassa-1412	120	1	a	a	DET
ijassa-1412	120	2	popular	popular	ADJ
ijassa-1412	120	3	method	method	NOUN
ijassa-1412	120	4	called	call	VERB
ijassa-1412	120	5	maximum	maximum	ADJ
ijassa-1412	120	6	pooling	pooling	NOUN
ijassa-1412	120	7	(	(	PUNCT
ijassa-1412	120	8	maxpooling	maxpooling	NOUN
ijassa-1412	120	9	)	)	PUNCT
ijassa-1412	120	10	utilizes	utilize	VERB
ijassa-1412	120	11	the	the	DET
ijassa-1412	120	12	filter	filter	NOUN
ijassa-1412	120	13	size	size	NOUN
ijassa-1412	120	14	to	to	PART
ijassa-1412	120	15	divide	divide	VERB
ijassa-1412	120	16	the	the	DET
ijassa-1412	120	17	input	input	NOUN
ijassa-1412	120	18	picture	picture	NOUN
ijassa-1412	120	19	into	into	ADP
ijassa-1412	120	20	rectangular	rectangular	ADJ
ijassa-1412	120	21	parts	part	NOUN
ijassa-1412	120	22	and	and	CCONJ
ijassa-1412	120	23	then	then	ADV
ijassa-1412	120	24	outputs	output	VERB
ijassa-1412	120	25	the	the	DET
ijassa-1412	120	26	maximum	maximum	ADJ
ijassa-1412	120	27	value	value	NOUN
ijassa-1412	120	28	for	for	ADP
ijassa-1412	120	29	each	each	DET
ijassa-1412	120	30	zone	zone	NOUN
ijassa-1412	120	31	,	,	PUNCT
ijassa-1412	120	32	as	as	SCONJ
ijassa-1412	120	33	shown	show	VERB
ijassa-1412	120	34	in	in	ADP
ijassa-1412	120	35	figure	figure	NOUN
ijassa-1412	120	36	2	2	NUM
ijassa-1412	120	37	.	.	PUNCT
ijassa-1412	120	38	convolutional	convolutional	ADJ
ijassa-1412	120	39	and	and	CCONJ
ijassa-1412	120	40	pooling	pool	VERB
ijassa-1412	120	41	layers	layer	NOUN
ijassa-1412	120	42	often	often	ADV
ijassa-1412	120	43	alternate	alternate	VERB
ijassa-1412	120	44	in	in	ADP
ijassa-1412	120	45	real	real	ADJ
ijassa-1412	120	46	-	-	PUNCT
ijassa-1412	120	47	world	world	NOUN
ijassa-1412	120	48	applications	application	NOUN
ijassa-1412	120	49	.	.	PUNCT
ijassa-1412	121	1	the	the	DET
ijassa-1412	121	2	integration	integration	NOUN
ijassa-1412	121	3	of	of	ADP
ijassa-1412	121	4	multidimensional	multidimensional	ADJ
ijassa-1412	121	5	characteristics	characteristic	NOUN
ijassa-1412	121	6	is	be	AUX
ijassa-1412	121	7	facilitated	facilitate	VERB
ijassa-1412	121	8	by	by	ADP
ijassa-1412	121	9	connections	connection	NOUN
ijassa-1412	121	10	made	make	VERB
ijassa-1412	121	11	between	between	ADP
ijassa-1412	121	12	neurons	neuron	NOUN
ijassa-1412	121	13	in	in	ADP
ijassa-1412	121	14	the	the	DET
ijassa-1412	121	15	fully	fully	ADV
ijassa-1412	121	16	linked	link	VERB
ijassa-1412	121	17	layer	layer	NOUN
ijassa-1412	121	18	and	and	CCONJ
ijassa-1412	121	19	higher	high	ADJ
ijassa-1412	121	20	neurons	neuron	NOUN
ijassa-1412	121	21	.	.	PUNCT
ijassa-1412	122	1	the	the	DET
ijassa-1412	122	2	classifier	classifier	NOUN
ijassa-1412	122	3	then	then	ADV
ijassa-1412	122	4	translates	translate	VERB
ijassa-1412	122	5	these	these	DET
ijassa-1412	122	6	features	feature	NOUN
ijassa-1412	122	7	into	into	ADP
ijassa-1412	122	8	onedimensional	onedimensional	ADJ
ijassa-1412	122	9	features	feature	NOUN
ijassa-1412	122	10	that	that	PRON
ijassa-1412	122	11	may	may	AUX
ijassa-1412	122	12	be	be	AUX
ijassa-1412	122	13	used	use	VERB
ijassa-1412	122	14	for	for	ADP
ijassa-1412	122	15	detection	detection	NOUN
ijassa-1412	122	16	or	or	CCONJ
ijassa-1412	122	17	classification	classification	NOUN
ijassa-1412	122	18	tasks	task	NOUN
ijassa-1412	122	19	.	.	PUNCT
ijassa-1412	123	1	sofiane	sofiane	ADJ
ijassa-1412	123	2	abdelkrim	abdelkrim	PROPN
ijassa-1412	123	3	khalladi	khalladi	PROPN
ijassa-1412	123	4	,	,	PUNCT
ijassa-1412	123	5	asmâa	asmâa	PROPN
ijassa-1412	123	6	ouessai	ouessai	PROPN
ijassa-1412	123	7	,	,	PUNCT
ijassa-1412	123	8	mokhtar	mokhtar	PROPN
ijassa-1412	123	9	keche	keche	PROPN
ijassa-1412	123	10	133	133	NUM
ijassa-1412	123	11	copyright	copyright	NOUN
ijassa-1412	123	12	©	©	PROPN
ijassa-1412	123	13	2024	2024	NUM
ijassa-1412	123	14	assa	assa	NOUN
ijassa-1412	123	15	.	.	PUNCT
ijassa-1412	124	1	adv	adv	PROPN
ijassa-1412	124	2	.	.	PUNCT
ijassa-1412	125	1	in	in	ADP
ijassa-1412	125	2	systems	system	NOUN
ijassa-1412	125	3	science	science	NOUN
ijassa-1412	125	4	and	and	CCONJ
ijassa-1412	125	5	appl	appl	NOUN
ijassa-1412	125	6	.	.	PUNCT
ijassa-1412	126	1	(	(	PUNCT
ijassa-1412	126	2	2024	2024	NUM
ijassa-1412	126	3	)	)	PUNCT
ijassa-1412	126	4	fig	fig	NOUN
ijassa-1412	126	5	.	.	PUNCT
ijassa-1412	127	1	2	2	X
ijassa-1412	127	2	.	.	X
ijassa-1412	127	3	max	max	PROPN
ijassa-1412	127	4	pooling	pooling	NOUN
ijassa-1412	127	5	process	process	NOUN
ijassa-1412	127	6	operation	operation	NOUN
ijassa-1412	127	7	3.1.3	3.1.3	NUM
ijassa-1412	127	8	.	.	PUNCT
ijassa-1412	127	9	fully	fully	ADV
ijassa-1412	127	10	connected	connect	VERB
ijassa-1412	127	11	layer	layer	NOUN
ijassa-1412	127	12	convolutional	convolutional	ADJ
ijassa-1412	127	13	neural	neural	ADJ
ijassa-1412	127	14	networks	network	NOUN
ijassa-1412	127	15	(	(	PUNCT
ijassa-1412	127	16	cnns	cnns	PROPN
ijassa-1412	127	17	)	)	PUNCT
ijassa-1412	127	18	conclude	conclude	NOUN
ijassa-1412	127	19	by	by	ADP
ijassa-1412	127	20	taking	take	VERB
ijassa-1412	127	21	the	the	DET
ijassa-1412	127	22	output	output	NOUN
ijassa-1412	127	23	feature	feature	NOUN
ijassa-1412	127	24	maps	map	NOUN
ijassa-1412	127	25	generated	generate	VERB
ijassa-1412	127	26	from	from	ADP
ijassa-1412	127	27	the	the	DET
ijassa-1412	127	28	pooling	pooling	NOUN
ijassa-1412	127	29	or	or	CCONJ
ijassa-1412	127	30	final	final	ADJ
ijassa-1412	127	31	convolution	convolution	NOUN
ijassa-1412	127	32	layer	layer	NOUN
ijassa-1412	127	33	,	,	PUNCT
ijassa-1412	127	34	and	and	CCONJ
ijassa-1412	127	35	transforming	transform	VERB
ijassa-1412	127	36	them	they	PRON
ijassa-1412	127	37	into	into	ADP
ijassa-1412	127	38	a	a	DET
ijassa-1412	127	39	flattened	flatten	VERB
ijassa-1412	127	40	onedimensional	onedimensional	ADJ
ijassa-1412	127	41	array	array	NOUN
ijassa-1412	127	42	.	.	PUNCT
ijassa-1412	128	1	next	next	ADV
ijassa-1412	128	2	,	,	PUNCT
ijassa-1412	128	3	this	this	DET
ijassa-1412	128	4	array	array	NOUN
ijassa-1412	128	5	is	be	AUX
ijassa-1412	128	6	joined	join	VERB
ijassa-1412	128	7	to	to	ADP
ijassa-1412	128	8	one	one	NUM
ijassa-1412	128	9	or	or	CCONJ
ijassa-1412	128	10	more	more	ADV
ijassa-1412	128	11	dense	dense	ADJ
ijassa-1412	128	12	layers	layer	NOUN
ijassa-1412	128	13	,	,	PUNCT
ijassa-1412	128	14	also	also	ADV
ijassa-1412	128	15	referred	refer	VERB
ijassa-1412	128	16	to	to	ADP
ijassa-1412	128	17	as	as	ADV
ijassa-1412	128	18	fully	fully	ADV
ijassa-1412	128	19	connected	connect	VERB
ijassa-1412	128	20	layer	layer	NOUN
ijassa-1412	129	1	[	[	X
ijassa-1412	129	2	20	20	NUM
ijassa-1412	129	3	]	]	PUNCT
ijassa-1412	129	4	,	,	PUNCT
ijassa-1412	129	5	where	where	SCONJ
ijassa-1412	129	6	trainable	trainable	ADJ
ijassa-1412	129	7	weights	weight	NOUN
ijassa-1412	129	8	connect	connect	VERB
ijassa-1412	129	9	each	each	DET
ijassa-1412	129	10	input	input	NOUN
ijassa-1412	129	11	to	to	ADP
ijassa-1412	129	12	every	every	DET
ijassa-1412	129	13	output	output	NOUN
ijassa-1412	129	14	.	.	PUNCT
ijassa-1412	130	1	the	the	DET
ijassa-1412	130	2	features	feature	NOUN
ijassa-1412	130	3	retrieved	retrieve	VERB
ijassa-1412	130	4	by	by	ADP
ijassa-1412	130	5	convolution	convolution	NOUN
ijassa-1412	130	6	and	and	CCONJ
ijassa-1412	130	7	down	down	ADV
ijassa-1412	130	8	sampling	sample	VERB
ijassa-1412	130	9	are	be	AUX
ijassa-1412	130	10	transformed	transform	VERB
ijassa-1412	130	11	by	by	ADP
ijassa-1412	130	12	these	these	DET
ijassa-1412	130	13	fully	fully	ADV
ijassa-1412	130	14	connected	connected	ADJ
ijassa-1412	130	15	layers	layer	NOUN
ijassa-1412	130	16	into	into	ADP
ijassa-1412	130	17	the	the	DET
ijassa-1412	130	18	final	final	ADJ
ijassa-1412	130	19	outputs	output	NOUN
ijassa-1412	130	20	of	of	ADP
ijassa-1412	130	21	the	the	DET
ijassa-1412	130	22	network	network	NOUN
ijassa-1412	130	23	,	,	PUNCT
ijassa-1412	130	24	such	such	ADJ
ijassa-1412	130	25	as	as	ADP
ijassa-1412	130	26	class	class	NOUN
ijassa-1412	130	27	probabilities	probability	NOUN
ijassa-1412	130	28	in	in	ADP
ijassa-1412	130	29	classification	classification	NOUN
ijassa-1412	130	30	tasks	task	NOUN
ijassa-1412	130	31	.	.	PUNCT
ijassa-1412	131	1	the	the	DET
ijassa-1412	131	2	number	number	NOUN
ijassa-1412	131	3	of	of	ADP
ijassa-1412	131	4	classes	class	NOUN
ijassa-1412	131	5	in	in	ADP
ijassa-1412	131	6	the	the	DET
ijassa-1412	131	7	classification	classification	NOUN
ijassa-1412	131	8	task	task	NOUN
ijassa-1412	131	9	is	be	AUX
ijassa-1412	131	10	usually	usually	ADV
ijassa-1412	131	11	equal	equal	ADJ
ijassa-1412	131	12	to	to	ADP
ijassa-1412	131	13	the	the	DET
ijassa-1412	131	14	number	number	NOUN
ijassa-1412	131	15	of	of	ADP
ijassa-1412	131	16	nodes	node	NOUN
ijassa-1412	131	17	in	in	ADP
ijassa-1412	131	18	the	the	DET
ijassa-1412	131	19	final	final	ADJ
ijassa-1412	131	20	fully	fully	ADV
ijassa-1412	131	21	linked	link	VERB
ijassa-1412	131	22	layer	layer	NOUN
ijassa-1412	131	23	.	.	PUNCT
ijassa-1412	132	1	each	each	DET
ijassa-1412	132	2	fully	fully	ADV
ijassa-1412	132	3	connected	connect	VERB
ijassa-1412	132	4	layer	layer	NOUN
ijassa-1412	132	5	is	be	AUX
ijassa-1412	132	6	followed	follow	VERB
ijassa-1412	132	7	by	by	ADP
ijassa-1412	132	8	a	a	DET
ijassa-1412	132	9	nonlinear	nonlinear	ADJ
ijassa-1412	132	10	activation	activation	NOUN
ijassa-1412	132	11	function	function	NOUN
ijassa-1412	132	12	.	.	PUNCT
ijassa-1412	133	1	3.2	3.2	NUM
ijassa-1412	133	2	.	.	PUNCT
ijassa-1412	133	3	activation	activation	NOUN
ijassa-1412	133	4	functions	function	NOUN
ijassa-1412	133	5	the	the	DET
ijassa-1412	133	6	last	last	ADJ
ijassa-1412	133	7	fully	fully	ADV
ijassa-1412	133	8	connected	connect	VERB
ijassa-1412	133	9	layer	layer	NOUN
ijassa-1412	133	10	in	in	ADP
ijassa-1412	133	11	a	a	DET
ijassa-1412	133	12	neural	neural	ADJ
ijassa-1412	133	13	network	network	NOUN
ijassa-1412	133	14	often	often	ADV
ijassa-1412	133	15	employs	employ	VERB
ijassa-1412	133	16	a	a	DET
ijassa-1412	133	17	different	different	ADJ
ijassa-1412	133	18	activation	activation	NOUN
ijassa-1412	133	19	function	function	NOUN
ijassa-1412	133	20	[	[	X
ijassa-1412	133	21	21	21	NUM
ijassa-1412	133	22	]	]	PUNCT
ijassa-1412	133	23	than	than	ADP
ijassa-1412	133	24	the	the	DET
ijassa-1412	133	25	preceding	precede	VERB
ijassa-1412	133	26	layers	layer	NOUN
ijassa-1412	133	27	.	.	PUNCT
ijassa-1412	134	1	the	the	DET
ijassa-1412	134	2	particular	particular	ADJ
ijassa-1412	134	3	task	task	NOUN
ijassa-1412	134	4	at	at	ADP
ijassa-1412	134	5	hand	hand	NOUN
ijassa-1412	134	6	determines	determine	NOUN
ijassa-1412	134	7	which	which	DET
ijassa-1412	134	8	activation	activation	NOUN
ijassa-1412	134	9	function	function	VERB
ijassa-1412	134	10	to	to	PART
ijassa-1412	134	11	use	use	VERB
ijassa-1412	134	12	.	.	PUNCT
ijassa-1412	135	1	one	one	NUM
ijassa-1412	135	2	popular	popular	ADJ
ijassa-1412	135	3	activation	activation	NOUN
ijassa-1412	135	4	function	function	NOUN
ijassa-1412	135	5	used	use	VERB
ijassa-1412	135	6	in	in	ADP
ijassa-1412	135	7	multiclass	multiclass	ADJ
ijassa-1412	135	8	classification	classification	NOUN
ijassa-1412	135	9	is	be	AUX
ijassa-1412	135	10	softmax	softmax	NOUN
ijassa-1412	135	11	,	,	PUNCT
ijassa-1412	135	12	defined	define	VERB
ijassa-1412	135	13	by	by	ADP
ijassa-1412	135	14	the	the	DET
ijassa-1412	135	15	equation	equation	NOUN
ijassa-1412	135	16	:	:	PUNCT
ijassa-1412	135	17	𝑆𝑜𝑓𝑡𝑚𝑎𝑥	𝑆𝑜𝑓𝑡𝑚𝑎𝑥	PROPN
ijassa-1412	135	18	=	=	SYM
ijassa-1412	135	19	𝑒𝑥𝑖	𝑒𝑥𝑖	ADJ
ijassa-1412	135	20	∑	∑	PROPN
ijassa-1412	135	21	𝑒𝑥𝑖𝑘	𝑒𝑥𝑖𝑘	PROPN
ijassa-1412	135	22	𝑖=1	𝑖=1	PROPN
ijassa-1412	135	23	,	,	PUNCT
ijassa-1412	135	24	(	(	PUNCT
ijassa-1412	135	25	1	1	X
ijassa-1412	135	26	)	)	PUNCT
ijassa-1412	135	27	where	where	SCONJ
ijassa-1412	135	28	𝑥	𝑥	PRON
ijassa-1412	135	29	represents	represent	VERB
ijassa-1412	135	30	the	the	DET
ijassa-1412	135	31	i	i	PROPN
ijassa-1412	135	32	-	-	PUNCT
ijassa-1412	135	33	th	th	X
ijassa-1412	135	34	element	element	NOUN
ijassa-1412	135	35	of	of	ADP
ijassa-1412	135	36	the	the	DET
ijassa-1412	135	37	input	input	NOUN
ijassa-1412	135	38	vector	vector	NOUN
ijassa-1412	135	39	,	,	PUNCT
ijassa-1412	135	40	which	which	PRON
ijassa-1412	135	41	is	be	AUX
ijassa-1412	135	42	typically	typically	ADV
ijassa-1412	135	43	a	a	DET
ijassa-1412	135	44	representation	representation	NOUN
ijassa-1412	135	45	of	of	ADP
ijassa-1412	135	46	the	the	DET
ijassa-1412	135	47	neuron	neuron	NOUN
ijassa-1412	135	48	activations	activation	NOUN
ijassa-1412	135	49	in	in	ADP
ijassa-1412	135	50	the	the	DET
ijassa-1412	135	51	last	last	ADJ
ijassa-1412	135	52	layer	layer	NOUN
ijassa-1412	135	53	of	of	ADP
ijassa-1412	135	54	the	the	DET
ijassa-1412	135	55	neural	neural	ADJ
ijassa-1412	135	56	network	network	NOUN
ijassa-1412	135	57	before	before	ADP
ijassa-1412	135	58	applying	apply	VERB
ijassa-1412	135	59	the	the	DET
ijassa-1412	135	60	softmax	softmax	NOUN
ijassa-1412	135	61	function	function	NOUN
ijassa-1412	135	62	.	.	PUNCT
ijassa-1412	136	1	each	each	DET
ijassa-1412	136	2	𝑥	𝑥	NOUN
ijassa-1412	136	3	corresponds	correspond	VERB
ijassa-1412	136	4	to	to	ADP
ijassa-1412	136	5	the	the	DET
ijassa-1412	136	6	activation	activation	NOUN
ijassa-1412	136	7	of	of	ADP
ijassa-1412	136	8	the	the	DET
ijassa-1412	136	9	neuron	neuron	NOUN
ijassa-1412	136	10	associated	associate	VERB
ijassa-1412	136	11	with	with	ADP
ijassa-1412	136	12	the	the	DET
ijassa-1412	136	13	respective	respective	ADJ
ijassa-1412	136	14	output	output	NOUN
ijassa-1412	136	15	class	class	NOUN
ijassa-1412	136	16	.	.	PUNCT
ijassa-1412	137	1	the	the	DET
ijassa-1412	137	2	parameter	parameter	NOUN
ijassa-1412	137	3	𝑘	𝑘	PROPN
ijassa-1412	137	4	in	in	ADP
ijassa-1412	137	5	the	the	DET
ijassa-1412	137	6	formula	formula	NOUN
ijassa-1412	137	7	represents	represent	VERB
ijassa-1412	137	8	the	the	DET
ijassa-1412	137	9	total	total	ADJ
ijassa-1412	137	10	number	number	NOUN
ijassa-1412	137	11	of	of	ADP
ijassa-1412	137	12	elements	element	NOUN
ijassa-1412	137	13	in	in	ADP
ijassa-1412	137	14	the	the	DET
ijassa-1412	137	15	input	input	NOUN
ijassa-1412	137	16	vector	vector	NOUN
ijassa-1412	137	17	.	.	PUNCT
ijassa-1412	138	1	in	in	ADP
ijassa-1412	138	2	the	the	DET
ijassa-1412	138	3	context	context	NOUN
ijassa-1412	138	4	of	of	ADP
ijassa-1412	138	5	classification	classification	NOUN
ijassa-1412	138	6	,	,	PUNCT
ijassa-1412	138	7	this	this	PRON
ijassa-1412	138	8	corresponds	correspond	VERB
ijassa-1412	138	9	to	to	ADP
ijassa-1412	138	10	the	the	DET
ijassa-1412	138	11	total	total	ADJ
ijassa-1412	138	12	number	number	NOUN
ijassa-1412	138	13	of	of	ADP
ijassa-1412	138	14	output	output	NOUN
ijassa-1412	138	15	classes	class	NOUN
ijassa-1412	138	16	,	,	PUNCT
ijassa-1412	138	17	to	to	PART
ijassa-1412	138	18	provide	provide	VERB
ijassa-1412	138	19	a	a	DET
ijassa-1412	138	20	probability	probability	NOUN
ijassa-1412	138	21	estimate	estimate	NOUN
ijassa-1412	138	22	for	for	ADP
ijassa-1412	138	23	the	the	DET
ijassa-1412	138	24	output	output	NOUN
ijassa-1412	138	25	classes	class	NOUN
ijassa-1412	138	26	.	.	PUNCT
ijassa-1412	139	1	the	the	DET
ijassa-1412	139	2	softmax	softmax	NOUN
ijassa-1412	139	3	function	function	NOUN
ijassa-1412	139	4	takes	take	VERB
ijassa-1412	139	5	in	in	ADP
ijassa-1412	139	6	a	a	DET
ijassa-1412	139	7	vector	vector	NOUN
ijassa-1412	139	8	of	of	ADP
ijassa-1412	139	9	real	real	ADJ
ijassa-1412	139	10	values	value	NOUN
ijassa-1412	139	11	as	as	ADP
ijassa-1412	139	12	input	input	NOUN
ijassa-1412	139	13	and	and	CCONJ
ijassa-1412	139	14	produces	produce	VERB
ijassa-1412	139	15	an	an	DET
ijassa-1412	139	16	output	output	NOUN
ijassa-1412	139	17	vector	vector	NOUN
ijassa-1412	139	18	of	of	ADP
ijassa-1412	139	19	real	real	ADJ
ijassa-1412	139	20	numbers	number	NOUN
ijassa-1412	139	21	.	.	PUNCT
ijassa-1412	140	1	the	the	DET
ijassa-1412	140	2	resulting	result	VERB
ijassa-1412	140	3	values	value	NOUN
ijassa-1412	140	4	,	,	PUNCT
ijassa-1412	140	5	which	which	PRON
ijassa-1412	140	6	represent	represent	VERB
ijassa-1412	140	7	estimates	estimate	NOUN
ijassa-1412	140	8	of	of	ADP
ijassa-1412	140	9	the	the	DET
ijassa-1412	140	10	output	output	NOUN
ijassa-1412	140	11	classes	class	NOUN
ijassa-1412	140	12	probabilities	probability	NOUN
ijassa-1412	140	13	,	,	PUNCT
ijassa-1412	140	14	are	be	AUX
ijassa-1412	140	15	constrained	constrain	VERB
ijassa-1412	140	16	between	between	ADP
ijassa-1412	140	17	0	0	NUM
ijassa-1412	140	18	and	and	CCONJ
ijassa-1412	140	19	1	1	NUM
ijassa-1412	140	20	,	,	PUNCT
ijassa-1412	140	21	and	and	CCONJ
ijassa-1412	140	22	the	the	DET
ijassa-1412	140	23	entire	entire	ADJ
ijassa-1412	140	24	vector	vector	NOUN
ijassa-1412	140	25	sums	sum	VERB
ijassa-1412	140	26	up	up	ADP
ijassa-1412	140	27	to	to	ADP
ijassa-1412	140	28	one	one	NUM
ijassa-1412	140	29	.	.	PUNCT
ijassa-1412	141	1	sofiane	sofiane	ADJ
ijassa-1412	141	2	abdelkrim	abdelkrim	PROPN
ijassa-1412	141	3	khalladi	khalladi	PROPN
ijassa-1412	141	4	,	,	PUNCT
ijassa-1412	141	5	asmâa	asmâa	PROPN
ijassa-1412	141	6	ouessai	ouessai	PROPN
ijassa-1412	141	7	,	,	PUNCT
ijassa-1412	141	8	mokhtar	mokhtar	PROPN
ijassa-1412	141	9	keche	keche	NOUN
ijassa-1412	141	10	134	134	NUM
ijassa-1412	141	11	copyright	copyright	NOUN
ijassa-1412	141	12	©	©	PROPN
ijassa-1412	141	13	2024	2024	NUM
ijassa-1412	141	14	assa	assa	PROPN
ijassa-1412	141	15	adv	adv	PROPN
ijassa-1412	141	16	.	.	PUNCT
ijassa-1412	142	1	in	in	ADP
ijassa-1412	142	2	systems	system	NOUN
ijassa-1412	142	3	science	science	NOUN
ijassa-1412	142	4	and	and	CCONJ
ijassa-1412	142	5	appl	appl	NOUN
ijassa-1412	142	6	.	.	PUNCT
ijassa-1412	143	1	(	(	PUNCT
ijassa-1412	143	2	2024	2024	NUM
ijassa-1412	143	3	)	)	PUNCT
ijassa-1412	143	4	4	4	NUM
ijassa-1412	143	5	.	.	PUNCT
ijassa-1412	144	1	the	the	DET
ijassa-1412	144	2	tested	test	VERB
ijassa-1412	144	3	methods	method	NOUN
ijassa-1412	144	4	4.1	4.1	NUM
ijassa-1412	144	5	.	.	PUNCT
ijassa-1412	145	1	the	the	DET
ijassa-1412	145	2	proposed	propose	VERB
ijassa-1412	145	3	method	method	NOUN
ijassa-1412	145	4	the	the	DET
ijassa-1412	145	5	proposed	propose	VERB
ijassa-1412	145	6	method	method	NOUN
ijassa-1412	145	7	uses	use	VERB
ijassa-1412	145	8	a	a	DET
ijassa-1412	145	9	deep	deep	ADJ
ijassa-1412	145	10	convolution	convolution	NOUN
ijassa-1412	145	11	neural	neural	ADJ
ijassa-1412	145	12	network	network	NOUN
ijassa-1412	145	13	(	(	PUNCT
ijassa-1412	145	14	dcnn	dcnn	PROPN
ijassa-1412	145	15	)	)	PUNCT
ijassa-1412	145	16	to	to	PART
ijassa-1412	145	17	classify	classify	VERB
ijassa-1412	145	18	road	road	NOUN
ijassa-1412	145	19	traffic	traffic	NOUN
ijassa-1412	145	20	into	into	ADP
ijassa-1412	145	21	three	three	NUM
ijassa-1412	145	22	categories	category	NOUN
ijassa-1412	145	23	,	,	PUNCT
ijassa-1412	145	24	namely	namely	ADV
ijassa-1412	145	25	,	,	PUNCT
ijassa-1412	145	26	free	free	ADJ
ijassa-1412	145	27	,	,	PUNCT
ijassa-1412	145	28	medium	medium	ADJ
ijassa-1412	145	29	,	,	PUNCT
ijassa-1412	145	30	and	and	CCONJ
ijassa-1412	145	31	heavy	heavy	ADJ
ijassa-1412	145	32	.	.	PUNCT
ijassa-1412	146	1	dcnns	dcnns	PROPN
ijassa-1412	146	2	are	be	AUX
ijassa-1412	146	3	regarded	regard	VERB
ijassa-1412	146	4	as	as	ADP
ijassa-1412	146	5	the	the	DET
ijassa-1412	146	6	state	state	NOUN
ijassa-1412	146	7	-	-	PUNCT
ijassa-1412	146	8	of	of	ADP
ijassa-1412	146	9	-	-	PUNCT
ijassa-1412	146	10	the	the	DET
ijassa-1412	146	11	-	-	PUNCT
ijassa-1412	146	12	art	art	NOUN
ijassa-1412	146	13	image	image	NOUN
ijassa-1412	146	14	classification	classification	NOUN
ijassa-1412	146	15	approach	approach	NOUN
ijassa-1412	146	16	.	.	PUNCT
ijassa-1412	147	1	in	in	ADP
ijassa-1412	147	2	this	this	DET
ijassa-1412	147	3	study	study	NOUN
ijassa-1412	147	4	,	,	PUNCT
ijassa-1412	147	5	a	a	DET
ijassa-1412	147	6	standard	standard	ADJ
ijassa-1412	147	7	convnet	convnet	NOUN
ijassa-1412	147	8	(	(	PUNCT
ijassa-1412	147	9	convolutional	convolutional	ADJ
ijassa-1412	147	10	network	network	NOUN
ijassa-1412	147	11	)	)	PUNCT
ijassa-1412	147	12	architecture	architecture	NOUN
ijassa-1412	147	13	with	with	ADP
ijassa-1412	147	14	convolution	convolution	NOUN
ijassa-1412	147	15	layers	layer	NOUN
ijassa-1412	147	16	and	and	CCONJ
ijassa-1412	147	17	pooling	pool	VERB
ijassa-1412	147	18	layers	layer	NOUN
ijassa-1412	147	19	was	be	AUX
ijassa-1412	147	20	used	use	VERB
ijassa-1412	147	21	.	.	PUNCT
ijassa-1412	148	1	this	this	DET
ijassa-1412	148	2	architecture	architecture	NOUN
ijassa-1412	148	3	is	be	AUX
ijassa-1412	148	4	shown	show	VERB
ijassa-1412	148	5	in	in	ADP
ijassa-1412	148	6	figure	figure	NOUN
ijassa-1412	148	7	3	3	NUM
ijassa-1412	148	8	,	,	PUNCT
ijassa-1412	148	9	where	where	SCONJ
ijassa-1412	148	10	‘	'	PUNCT
ijassa-1412	148	11	conv	conv	ADJ
ijassa-1412	148	12	1	1	NUM
ijassa-1412	148	13	’	'	PUNCT
ijassa-1412	148	14	refers	refer	VERB
ijassa-1412	148	15	to	to	ADP
ijassa-1412	148	16	the	the	DET
ijassa-1412	148	17	first	first	ADJ
ijassa-1412	148	18	convolution	convolution	NOUN
ijassa-1412	148	19	layer	layer	NOUN
ijassa-1412	148	20	,	,	PUNCT
ijassa-1412	148	21	‘	'	PUNCT
ijassa-1412	148	22	fc	fc	NOUN
ijassa-1412	148	23	’	'	PUNCT
ijassa-1412	148	24	denotes	denote	VERB
ijassa-1412	148	25	the	the	DET
ijassa-1412	148	26	fully	fully	ADV
ijassa-1412	148	27	connected	connected	ADJ
ijassa-1412	148	28	layer	layer	NOUN
ijassa-1412	148	29	,	,	PUNCT
ijassa-1412	148	30	‘s	‘s	PRON
ijassa-1412	148	31	’	'	PUNCT
ijassa-1412	148	32	is	be	AUX
ijassa-1412	148	33	the	the	DET
ijassa-1412	148	34	number	number	NOUN
ijassa-1412	148	35	of	of	ADP
ijassa-1412	148	36	stride	stride	NOUN
ijassa-1412	148	37	and	and	CCONJ
ijassa-1412	148	38	‘	'	PUNCT
ijassa-1412	148	39	f	f	X
ijassa-1412	148	40	’	'	PUNCT
ijassa-1412	148	41	is	be	AUX
ijassa-1412	148	42	the	the	DET
ijassa-1412	148	43	number	number	NOUN
ijassa-1412	148	44	of	of	ADP
ijassa-1412	148	45	filters	filter	NOUN
ijassa-1412	148	46	.	.	PUNCT
ijassa-1412	149	1	fig	fig	NOUN
ijassa-1412	149	2	.	.	PUNCT
ijassa-1412	150	1	3	3	X
ijassa-1412	150	2	.	.	X
ijassa-1412	150	3	architecture	architecture	NOUN
ijassa-1412	150	4	of	of	ADP
ijassa-1412	150	5	the	the	DET
ijassa-1412	150	6	proposed	propose	VERB
ijassa-1412	150	7	convolutional	convolutional	ADJ
ijassa-1412	150	8	network	network	NOUN
ijassa-1412	150	9	the	the	DET
ijassa-1412	150	10	inputs	input	NOUN
ijassa-1412	150	11	of	of	ADP
ijassa-1412	150	12	the	the	DET
ijassa-1412	150	13	network	network	NOUN
ijassa-1412	150	14	are	be	AUX
ijassa-1412	150	15	images	image	NOUN
ijassa-1412	150	16	extracted	extract	VERB
ijassa-1412	150	17	from	from	ADP
ijassa-1412	150	18	videos	video	NOUN
ijassa-1412	150	19	provided	provide	VERB
ijassa-1412	150	20	by	by	ADP
ijassa-1412	150	21	the	the	DET
ijassa-1412	150	22	ucsd	ucsd	PROPN
ijassa-1412	150	23	dataset	dataset	PROPN
ijassa-1412	150	24	.	.	PUNCT
ijassa-1412	151	1	each	each	DET
ijassa-1412	151	2	video	video	NOUN
ijassa-1412	151	3	contains	contain	VERB
ijassa-1412	151	4	40	40	NUM
ijassa-1412	151	5	-	-	SYM
ijassa-1412	151	6	50	50	NUM
ijassa-1412	151	7	frames	frame	NOUN
ijassa-1412	151	8	at	at	ADP
ijassa-1412	151	9	a	a	DET
ijassa-1412	151	10	320x240	320x240	NUM
ijassa-1412	151	11	resolution	resolution	NOUN
ijassa-1412	151	12	.	.	PUNCT
ijassa-1412	152	1	these	these	DET
ijassa-1412	152	2	frames	frame	NOUN
ijassa-1412	152	3	are	be	AUX
ijassa-1412	152	4	cropped	crop	VERB
ijassa-1412	152	5	and	and	CCONJ
ijassa-1412	152	6	then	then	ADV
ijassa-1412	152	7	downsized	downsize	VERB
ijassa-1412	152	8	to	to	PART
ijassa-1412	152	9	get	get	VERB
ijassa-1412	152	10	photos	photo	NOUN
ijassa-1412	152	11	of	of	ADP
ijassa-1412	152	12	size	size	NOUN
ijassa-1412	152	13	64x64	64x64	NUM
ijassa-1412	152	14	pixels	pixel	VERB
ijassa-1412	152	15	,	,	PUNCT
ijassa-1412	152	16	to	to	PART
ijassa-1412	152	17	avoid	avoid	VERB
ijassa-1412	152	18	memory	memory	NOUN
ijassa-1412	152	19	allocation	allocation	NOUN
ijassa-1412	152	20	issues	issue	NOUN
ijassa-1412	152	21	during	during	ADP
ijassa-1412	152	22	model	model	NOUN
ijassa-1412	152	23	training	training	NOUN
ijassa-1412	152	24	.	.	PUNCT
ijassa-1412	153	1	these	these	DET
ijassa-1412	153	2	photos	photo	NOUN
ijassa-1412	153	3	are	be	AUX
ijassa-1412	153	4	fed	feed	VERB
ijassa-1412	153	5	into	into	ADP
ijassa-1412	153	6	the	the	DET
ijassa-1412	153	7	model	model	NOUN
ijassa-1412	153	8	at	at	ADP
ijassa-1412	153	9	the	the	DET
ijassa-1412	153	10	first	first	ADJ
ijassa-1412	153	11	64x3x3	64x3x3	ADJ
ijassa-1412	153	12	convolution	convolution	NOUN
ijassa-1412	153	13	layer	layer	NOUN
ijassa-1412	153	14	,	,	PUNCT
ijassa-1412	153	15	which	which	PRON
ijassa-1412	153	16	is	be	AUX
ijassa-1412	153	17	followed	follow	VERB
ijassa-1412	153	18	by	by	ADP
ijassa-1412	153	19	a	a	DET
ijassa-1412	153	20	max	max	PROPN
ijassa-1412	153	21	pooling	pooling	NOUN
ijassa-1412	153	22	layer	layer	NOUN
ijassa-1412	153	23	of	of	ADP
ijassa-1412	153	24	size	size	NOUN
ijassa-1412	153	25	2x2	2x2	NUM
ijassa-1412	153	26	.	.	PUNCT
ijassa-1412	154	1	the	the	DET
ijassa-1412	154	2	network	network	NOUN
ijassa-1412	154	3	is	be	AUX
ijassa-1412	154	4	then	then	ADV
ijassa-1412	154	5	stretched	stretch	VERB
ijassa-1412	154	6	six	six	NUM
ijassa-1412	154	7	times	time	NOUN
ijassa-1412	154	8	.	.	PUNCT
ijassa-1412	155	1	to	to	PART
ijassa-1412	155	2	prevent	prevent	VERB
ijassa-1412	155	3	overfitting	overfitte	VERB
ijassa-1412	155	4	[	[	X
ijassa-1412	155	5	22	22	NUM
ijassa-1412	155	6	]	]	PUNCT
ijassa-1412	155	7	,	,	PUNCT
ijassa-1412	155	8	a	a	DET
ijassa-1412	155	9	0.25	0.25	NUM
ijassa-1412	155	10	probability	probability	NOUN
ijassa-1412	155	11	dropout	dropout	NOUN
ijassa-1412	155	12	layer	layer	NOUN
ijassa-1412	156	1	[	[	X
ijassa-1412	156	2	23	23	NUM
ijassa-1412	156	3	]	]	PUNCT
ijassa-1412	156	4	is	be	AUX
ijassa-1412	156	5	included	include	VERB
ijassa-1412	156	6	before	before	ADP
ijassa-1412	156	7	the	the	DET
ijassa-1412	156	8	final	final	ADJ
ijassa-1412	156	9	max	max	PROPN
ijassa-1412	156	10	pooling	pool	VERB
ijassa-1412	156	11	layer	layer	NOUN
ijassa-1412	156	12	.	.	PUNCT
ijassa-1412	157	1	softmax	softmax	NOUN
ijassa-1412	158	1	[	[	X
ijassa-1412	158	2	24	24	NUM
ijassa-1412	158	3	]	]	PUNCT
ijassa-1412	158	4	is	be	AUX
ijassa-1412	158	5	employed	employ	VERB
ijassa-1412	158	6	as	as	ADP
ijassa-1412	158	7	an	an	DET
ijassa-1412	158	8	activation	activation	NOUN
ijassa-1412	158	9	function	function	NOUN
ijassa-1412	158	10	throughout	throughout	ADP
ijassa-1412	158	11	the	the	DET
ijassa-1412	158	12	model	model	NOUN
ijassa-1412	158	13	.	.	PUNCT
ijassa-1412	159	1	table	table	NOUN
ijassa-1412	159	2	1	1	NUM
ijassa-1412	159	3	shows	show	VERB
ijassa-1412	159	4	the	the	DET
ijassa-1412	159	5	dcnn	dcnn	ADJ
ijassa-1412	159	6	model	model	NOUN
ijassa-1412	159	7	architecture	architecture	NOUN
ijassa-1412	159	8	.	.	PUNCT
ijassa-1412	160	1	table	table	NOUN
ijassa-1412	160	2	.	.	PUNCT
ijassa-1412	161	1	1	1	X
ijassa-1412	161	2	.	.	X
ijassa-1412	161	3	dcnn	dcnn	ADJ
ijassa-1412	161	4	custom	custom	NOUN
ijassa-1412	161	5	model	model	NOUN
ijassa-1412	161	6	architecture	architecture	NOUN
ijassa-1412	161	7	used	use	VERB
ijassa-1412	161	8	layer	layer	NOUN
ijassa-1412	161	9	kernel	kernel	PROPN
ijassa-1412	161	10	stride	stride	PROPN
ijassa-1412	161	11	output	output	NOUN
ijassa-1412	161	12	shape	shape	NOUN
ijassa-1412	161	13	input	input	NOUN
ijassa-1412	161	14	[	[	X
ijassa-1412	161	15	64	64	NUM
ijassa-1412	161	16	,	,	PUNCT
ijassa-1412	161	17	64	64	NUM
ijassa-1412	161	18	,	,	PUNCT
ijassa-1412	161	19	3	3	NUM
ijassa-1412	161	20	]	]	SYM
ijassa-1412	161	21	convolution2d	convolution2d	NOUN
ijassa-1412	161	22	3x3	3x3	NUM
ijassa-1412	162	1	[	[	X
ijassa-1412	162	2	62,62	62,62	NOUN
ijassa-1412	162	3	,	,	PUNCT
ijassa-1412	162	4	64	64	NUM
ijassa-1412	162	5	]	]	PUNCT
ijassa-1412	162	6	maxpooling	maxpoole	VERB
ijassa-1412	162	7	2x2	2x2	NUM
ijassa-1412	162	8	1	1	NUM
ijassa-1412	162	9	[	[	X
ijassa-1412	162	10	62,62	62,62	NOUN
ijassa-1412	162	11	,	,	PUNCT
ijassa-1412	162	12	64	64	NUM
ijassa-1412	162	13	]	]	PUNCT
ijassa-1412	162	14	convolution2d	convolution2d	NOUN
ijassa-1412	162	15	3x3	3x3	NUM
ijassa-1412	163	1	[	[	X
ijassa-1412	163	2	60,60	60,60	VERB
ijassa-1412	163	3	,	,	PUNCT
ijassa-1412	163	4	64	64	NUM
ijassa-1412	163	5	]	]	PUNCT
ijassa-1412	163	6	maxpooling	maxpoole	VERB
ijassa-1412	163	7	2x2	2x2	NUM
ijassa-1412	163	8	1	1	NUM
ijassa-1412	164	1	[	[	X
ijassa-1412	164	2	60	60	NUM
ijassa-1412	164	3	,	,	PUNCT
ijassa-1412	164	4	60	60	NUM
ijassa-1412	164	5	,	,	PUNCT
ijassa-1412	164	6	64	64	NUM
ijassa-1412	164	7	]	]	PUNCT
ijassa-1412	164	8	convolution2d	convolution2d	NOUN
ijassa-1412	164	9	3x3	3x3	NUM
ijassa-1412	165	1	[	[	X
ijassa-1412	165	2	58	58	NUM
ijassa-1412	165	3	,	,	PUNCT
ijassa-1412	165	4	58	58	NUM
ijassa-1412	165	5	,	,	PUNCT
ijassa-1412	165	6	64	64	NUM
ijassa-1412	165	7	]	]	PUNCT
ijassa-1412	165	8	maxpooling	maxpoole	VERB
ijassa-1412	165	9	2x2	2x2	NUM
ijassa-1412	165	10	1	1	NUM
ijassa-1412	166	1	[	[	X
ijassa-1412	166	2	58	58	NUM
ijassa-1412	166	3	,	,	PUNCT
ijassa-1412	166	4	58	58	NUM
ijassa-1412	166	5	,	,	PUNCT
ijassa-1412	166	6	64	64	NUM
ijassa-1412	166	7	]	]	PUNCT
ijassa-1412	166	8	convolution2d	convolution2d	NOUN
ijassa-1412	166	9	3x3	3x3	NUM
ijassa-1412	167	1	[	[	X
ijassa-1412	167	2	56	56	NUM
ijassa-1412	167	3	,	,	PUNCT
ijassa-1412	167	4	56	56	NUM
ijassa-1412	167	5	,	,	PUNCT
ijassa-1412	167	6	64	64	NUM
ijassa-1412	167	7	]	]	PUNCT
ijassa-1412	167	8	maxpooling	maxpoole	VERB
ijassa-1412	167	9	2x2	2x2	NUM
ijassa-1412	167	10	1	1	NUM
ijassa-1412	167	11	[	[	X
ijassa-1412	167	12	56	56	NUM
ijassa-1412	167	13	,	,	PUNCT
ijassa-1412	167	14	56	56	NUM
ijassa-1412	167	15	,	,	PUNCT
ijassa-1412	167	16	64	64	NUM
ijassa-1412	167	17	]	]	PUNCT
ijassa-1412	167	18	convolution2d	convolution2d	NOUN
ijassa-1412	167	19	3x3	3x3	NUM
ijassa-1412	168	1	[	[	X
ijassa-1412	168	2	54	54	NUM
ijassa-1412	168	3	,	,	PUNCT
ijassa-1412	168	4	54	54	NUM
ijassa-1412	168	5	,	,	PUNCT
ijassa-1412	168	6	64	64	NUM
ijassa-1412	168	7	]	]	PUNCT
ijassa-1412	168	8	maxpooling	maxpoole	VERB
ijassa-1412	168	9	2x2	2x2	NUM
ijassa-1412	168	10	1	1	NUM
ijassa-1412	169	1	[	[	X
ijassa-1412	169	2	54	54	NUM
ijassa-1412	169	3	,	,	PUNCT
ijassa-1412	169	4	54	54	NUM
ijassa-1412	169	5	,	,	PUNCT
ijassa-1412	169	6	64	64	NUM
ijassa-1412	169	7	]	]	PUNCT
ijassa-1412	169	8	convolution2d	convolution2d	NOUN
ijassa-1412	169	9	3x3	3x3	NUM
ijassa-1412	170	1	[	[	X
ijassa-1412	170	2	52	52	NUM
ijassa-1412	170	3	,	,	PUNCT
ijassa-1412	170	4	52	52	NUM
ijassa-1412	170	5	,	,	PUNCT
ijassa-1412	170	6	64	64	NUM
ijassa-1412	170	7	]	]	PUNCT
ijassa-1412	170	8	maxpooling	maxpoole	VERB
ijassa-1412	170	9	2x2	2x2	NUM
ijassa-1412	170	10	1	1	NUM
ijassa-1412	170	11	[	[	X
ijassa-1412	170	12	52	52	NUM
ijassa-1412	170	13	,	,	PUNCT
ijassa-1412	170	14	52	52	NUM
ijassa-1412	170	15	,	,	PUNCT
ijassa-1412	170	16	64	64	NUM
ijassa-1412	170	17	]	]	PUNCT
ijassa-1412	170	18	convolution2d	convolution2d	NOUN
ijassa-1412	170	19	3x3	3x3	NUM
ijassa-1412	171	1	[	[	X
ijassa-1412	171	2	50	50	NUM
ijassa-1412	171	3	,	,	PUNCT
ijassa-1412	171	4	50	50	NUM
ijassa-1412	171	5	,	,	PUNCT
ijassa-1412	171	6	64	64	NUM
ijassa-1412	171	7	]	]	SYM
ijassa-1412	171	8	dropout	dropout	NOUN
ijassa-1412	172	1	[	[	X
ijassa-1412	172	2	50	50	NUM
ijassa-1412	172	3	,	,	PUNCT
ijassa-1412	172	4	50	50	NUM
ijassa-1412	172	5	,	,	PUNCT
ijassa-1412	172	6	64	64	NUM
ijassa-1412	172	7	]	]	PUNCT
ijassa-1412	172	8	maxpooling	maxpoole	VERB
ijassa-1412	172	9	2x2	2x2	NUM
ijassa-1412	172	10	1	1	NUM
ijassa-1412	173	1	[	[	X
ijassa-1412	173	2	50	50	NUM
ijassa-1412	173	3	,	,	PUNCT
ijassa-1412	173	4	50	50	NUM
ijassa-1412	173	5	,	,	PUNCT
ijassa-1412	173	6	64	64	NUM
ijassa-1412	173	7	]	]	PUNCT
ijassa-1412	173	8	flatten	flatten	VERB
ijassa-1412	173	9	160000	160000	NUM
ijassa-1412	173	10	dense	dense	ADJ
ijassa-1412	173	11	3	3	NUM
ijassa-1412	173	12	sofiane	sofiane	ADJ
ijassa-1412	173	13	abdelkrim	abdelkrim	PROPN
ijassa-1412	173	14	khalladi	khalladi	PROPN
ijassa-1412	173	15	,	,	PUNCT
ijassa-1412	173	16	asmâa	asmâa	PROPN
ijassa-1412	173	17	ouessai	ouessai	PROPN
ijassa-1412	173	18	,	,	PUNCT
ijassa-1412	173	19	mokhtar	mokhtar	PROPN
ijassa-1412	173	20	keche	keche	NOUN
ijassa-1412	173	21	135	135	NUM
ijassa-1412	173	22	copyright	copyright	NOUN
ijassa-1412	173	23	©	©	PROPN
ijassa-1412	173	24	2024	2024	NUM
ijassa-1412	173	25	assa	assa	NOUN
ijassa-1412	173	26	.	.	PUNCT
ijassa-1412	174	1	adv	adv	PROPN
ijassa-1412	174	2	.	.	PUNCT
ijassa-1412	175	1	in	in	ADP
ijassa-1412	175	2	systems	system	NOUN
ijassa-1412	175	3	science	science	NOUN
ijassa-1412	175	4	and	and	CCONJ
ijassa-1412	175	5	appl	appl	NOUN
ijassa-1412	175	6	.	.	PUNCT
ijassa-1412	176	1	(	(	PUNCT
ijassa-1412	176	2	2024	2024	NUM
ijassa-1412	176	3	)	)	PUNCT
ijassa-1412	176	4	4.2	4.2	NUM
ijassa-1412	176	5	the	the	DET
ijassa-1412	176	6	method	method	NOUN
ijassa-1412	176	7	based	base	VERB
ijassa-1412	176	8	on	on	ADP
ijassa-1412	176	9	an	an	DET
ijassa-1412	176	10	existing	exist	VERB
ijassa-1412	176	11	cnn	cnn	NOUN
ijassa-1412	176	12	in	in	ADP
ijassa-1412	176	13	order	order	NOUN
ijassa-1412	176	14	to	to	PART
ijassa-1412	176	15	compare	compare	VERB
ijassa-1412	176	16	our	our	PRON
ijassa-1412	176	17	proposed	propose	VERB
ijassa-1412	176	18	cnn	cnn	NOUN
ijassa-1412	176	19	architecture	architecture	NOUN
ijassa-1412	176	20	with	with	ADP
ijassa-1412	176	21	a	a	DET
ijassa-1412	176	22	state	state	NOUN
ijassa-1412	176	23	of	of	ADP
ijassa-1412	176	24	art	art	NOUN
ijassa-1412	176	25	method	method	NOUN
ijassa-1412	176	26	we	we	PRON
ijassa-1412	176	27	have	have	AUX
ijassa-1412	176	28	tested	test	VERB
ijassa-1412	176	29	the	the	DET
ijassa-1412	176	30	cnn	cnn	PROPN
ijassa-1412	176	31	architecture	architecture	NOUN
ijassa-1412	176	32	proposed	propose	VERB
ijassa-1412	176	33	in	in	ADP
ijassa-1412	176	34	[	[	X
ijassa-1412	176	35	16	16	NUM
ijassa-1412	176	36	]	]	PUNCT
ijassa-1412	176	37	with	with	ADP
ijassa-1412	176	38	same	same	ADJ
ijassa-1412	176	39	ucsd	ucsd	PROPN
ijassa-1412	176	40	dataset	dataset	NOUN
ijassa-1412	176	41	and	and	CCONJ
ijassa-1412	176	42	the	the	DET
ijassa-1412	176	43	same	same	ADJ
ijassa-1412	176	44	parameters	parameter	NOUN
ijassa-1412	176	45	configuration	configuration	NOUN
ijassa-1412	176	46	.	.	PUNCT
ijassa-1412	177	1	as	as	SCONJ
ijassa-1412	177	2	shown	show	VERB
ijassa-1412	177	3	in	in	ADP
ijassa-1412	177	4	figure	figure	NOUN
ijassa-1412	177	5	4	4	NUM
ijassa-1412	177	6	,	,	PUNCT
ijassa-1412	177	7	this	this	DET
ijassa-1412	177	8	architecture	architecture	NOUN
ijassa-1412	177	9	consists	consist	VERB
ijassa-1412	177	10	of	of	ADP
ijassa-1412	177	11	:	:	PUNCT
ijassa-1412	177	12	two	two	NUM
ijassa-1412	177	13	convolutional	convolutional	ADJ
ijassa-1412	177	14	layers	layer	NOUN
ijassa-1412	177	15	,	,	PUNCT
ijassa-1412	177	16	a	a	DET
ijassa-1412	177	17	max	max	PROPN
ijassa-1412	177	18	pooling	pool	VERB
ijassa-1412	177	19	layer	layer	NOUN
ijassa-1412	177	20	,	,	PUNCT
ijassa-1412	177	21	and	and	CCONJ
ijassa-1412	177	22	a	a	DET
ijassa-1412	177	23	fully	fully	ADV
ijassa-1412	177	24	connected	connected	ADJ
ijassa-1412	177	25	layer	layer	NOUN
ijassa-1412	177	26	.	.	PUNCT
ijassa-1412	178	1	fig	fig	NOUN
ijassa-1412	178	2	.	.	PUNCT
ijassa-1412	179	1	4	4	X
ijassa-1412	179	2	.	.	X
ijassa-1412	179	3	flowchart	flowchart	NOUN
ijassa-1412	179	4	of	of	ADP
ijassa-1412	179	5	the	the	DET
ijassa-1412	179	6	cnn	cnn	PROPN
ijassa-1412	179	7	architecture	architecture	NOUN
ijassa-1412	179	8	proposed	propose	VERB
ijassa-1412	179	9	in	in	ADP
ijassa-1412	179	10	[	[	X
ijassa-1412	179	11	16	16	NUM
ijassa-1412	179	12	]	]	PUNCT
ijassa-1412	179	13	.	.	PUNCT
ijassa-1412	180	1	the	the	DET
ijassa-1412	180	2	initial	initial	ADJ
ijassa-1412	180	3	layer	layer	NOUN
ijassa-1412	180	4	,	,	PUNCT
ijassa-1412	180	5	denoted	denote	VERB
ijassa-1412	180	6	as	as	ADP
ijassa-1412	180	7	c1	c1	NOUN
ijassa-1412	180	8	,	,	PUNCT
ijassa-1412	180	9	is	be	AUX
ijassa-1412	180	10	a	a	DET
ijassa-1412	180	11	convolutional	convolutional	ADJ
ijassa-1412	180	12	layer	layer	NOUN
ijassa-1412	180	13	employing	employ	VERB
ijassa-1412	180	14	3x3	3x3	NUM
ijassa-1412	180	15	filters	filter	NOUN
ijassa-1412	180	16	and	and	CCONJ
ijassa-1412	180	17	generating	generate	VERB
ijassa-1412	180	18	32	32	NUM
ijassa-1412	180	19	feature	feature	NOUN
ijassa-1412	180	20	maps	map	NOUN
ijassa-1412	180	21	.	.	PUNCT
ijassa-1412	181	1	given	give	VERB
ijassa-1412	181	2	the	the	DET
ijassa-1412	181	3	100x100	100x100	NUM
ijassa-1412	181	4	input	input	NOUN
ijassa-1412	181	5	size	size	NOUN
ijassa-1412	181	6	,	,	PUNCT
ijassa-1412	181	7	each	each	DET
ijassa-1412	181	8	feature	feature	NOUN
ijassa-1412	181	9	map	map	NOUN
ijassa-1412	181	10	has	have	VERB
ijassa-1412	181	11	a	a	DET
ijassa-1412	181	12	98x98	98x98	NUM
ijassa-1412	181	13	dimension	dimension	NOUN
ijassa-1412	181	14	.	.	PUNCT
ijassa-1412	182	1	subsequently	subsequently	ADV
ijassa-1412	182	2	,	,	PUNCT
ijassa-1412	182	3	the	the	DET
ijassa-1412	182	4	second	second	ADJ
ijassa-1412	182	5	layer	layer	NOUN
ijassa-1412	182	6	,	,	PUNCT
ijassa-1412	182	7	denoted	denote	VERB
ijassa-1412	182	8	c2	c2	PROPN
ijassa-1412	182	9	,	,	PUNCT
ijassa-1412	182	10	is	be	AUX
ijassa-1412	182	11	another	another	DET
ijassa-1412	182	12	convolutional	convolutional	ADJ
ijassa-1412	182	13	layer	layer	NOUN
ijassa-1412	182	14	utilizing	utilize	VERB
ijassa-1412	182	15	3x3	3x3	NUM
ijassa-1412	182	16	filters	filter	NOUN
ijassa-1412	182	17	and	and	CCONJ
ijassa-1412	182	18	producing	produce	VERB
ijassa-1412	182	19	32	32	NUM
ijassa-1412	182	20	feature	feature	NOUN
ijassa-1412	182	21	maps	map	NOUN
ijassa-1412	182	22	,	,	PUNCT
ijassa-1412	182	23	each	each	PRON
ijassa-1412	182	24	with	with	ADP
ijassa-1412	182	25	a	a	DET
ijassa-1412	182	26	93x96dimension	93x96dimension	NOUN
ijassa-1412	182	27	.	.	PUNCT
ijassa-1412	183	1	the	the	DET
ijassa-1412	183	2	third	third	ADJ
ijassa-1412	183	3	layer	layer	NOUN
ijassa-1412	183	4	,	,	PUNCT
ijassa-1412	183	5	referred	refer	VERB
ijassa-1412	183	6	to	to	ADP
ijassa-1412	183	7	as	as	ADP
ijassa-1412	183	8	p3	p3	PROPN
ijassa-1412	183	9	,	,	PUNCT
ijassa-1412	183	10	is	be	AUX
ijassa-1412	183	11	a	a	DET
ijassa-1412	183	12	2x2	2x2	NUM
ijassa-1412	183	13	max	max	NOUN
ijassa-1412	183	14	pooling	pooling	NOUN
ijassa-1412	183	15	layer	layer	NOUN
ijassa-1412	183	16	employed	employ	VERB
ijassa-1412	183	17	for	for	ADP
ijassa-1412	183	18	down	down	ADV
ijassa-1412	183	19	-	-	PUNCT
ijassa-1412	183	20	sampling	sampling	NOUN
ijassa-1412	183	21	;	;	PUNCT
ijassa-1412	183	22	it	it	PRON
ijassa-1412	183	23	reduces	reduce	VERB
ijassa-1412	183	24	the	the	DET
ijassa-1412	183	25	size	size	NOUN
ijassa-1412	183	26	of	of	ADP
ijassa-1412	183	27	each	each	DET
ijassa-1412	183	28	feature	feature	NOUN
ijassa-1412	183	29	map	map	NOUN
ijassa-1412	183	30	to	to	ADP
ijassa-1412	183	31	48x48	48x48	NUM
ijassa-1412	183	32	.	.	PUNCT
ijassa-1412	184	1	the	the	DET
ijassa-1412	184	2	last	last	ADJ
ijassa-1412	184	3	hidden	hide	VERB
ijassa-1412	184	4	layer	layer	NOUN
ijassa-1412	184	5	is	be	AUX
ijassa-1412	184	6	a	a	DET
ijassa-1412	184	7	fully	fully	ADV
ijassa-1412	184	8	connected	connected	ADJ
ijassa-1412	184	9	layer	layer	NOUN
ijassa-1412	184	10	comprising	comprise	VERB
ijassa-1412	184	11	128	128	NUM
ijassa-1412	184	12	perceptron	perceptron	NOUN
ijassa-1412	184	13	.	.	PUNCT
ijassa-1412	185	1	each	each	DET
ijassa-1412	185	2	perceptron	perceptron	PROPN
ijassa-1412	185	3	is	be	AUX
ijassa-1412	185	4	fully	fully	ADV
ijassa-1412	185	5	connected	connect	VERB
ijassa-1412	185	6	to	to	ADP
ijassa-1412	185	7	every	every	DET
ijassa-1412	185	8	unit	unit	NOUN
ijassa-1412	185	9	within	within	ADP
ijassa-1412	185	10	the	the	DET
ijassa-1412	185	11	feature	feature	NOUN
ijassa-1412	185	12	maps	map	NOUN
ijassa-1412	185	13	from	from	ADP
ijassa-1412	185	14	p3	p3	PROPN
ijassa-1412	185	15	.	.	PUNCT
ijassa-1412	186	1	the	the	DET
ijassa-1412	186	2	rectified	rectified	ADJ
ijassa-1412	186	3	linear	linear	NOUN
ijassa-1412	186	4	units	unit	NOUN
ijassa-1412	186	5	(	(	PUNCT
ijassa-1412	186	6	relu	relu	NOUN
ijassa-1412	186	7	)	)	PUNCT
ijassa-1412	187	1	[	[	X
ijassa-1412	187	2	25	25	NUM
ijassa-1412	187	3	]	]	PUNCT
ijassa-1412	187	4	activation	activation	NOUN
ijassa-1412	187	5	function	function	NOUN
ijassa-1412	187	6	is	be	AUX
ijassa-1412	187	7	applied	apply	VERB
ijassa-1412	187	8	in	in	ADP
ijassa-1412	187	9	both	both	CCONJ
ijassa-1412	187	10	the	the	DET
ijassa-1412	187	11	convolutional	convolutional	ADJ
ijassa-1412	187	12	and	and	CCONJ
ijassa-1412	187	13	fully	fully	ADV
ijassa-1412	187	14	connected	connected	ADJ
ijassa-1412	187	15	layers	layer	NOUN
ijassa-1412	187	16	.	.	PUNCT
ijassa-1412	188	1	in	in	ADP
ijassa-1412	188	2	the	the	DET
ijassa-1412	188	3	output	output	NOUN
ijassa-1412	188	4	layer	layer	NOUN
ijassa-1412	188	5	,	,	PUNCT
ijassa-1412	188	6	a	a	DET
ijassa-1412	188	7	single	single	ADJ
ijassa-1412	188	8	perceptron	perceptron	NOUN
ijassa-1412	188	9	is	be	AUX
ijassa-1412	188	10	utilized	utilize	VERB
ijassa-1412	188	11	with	with	ADP
ijassa-1412	188	12	a	a	DET
ijassa-1412	188	13	sigmoid	sigmoid	NOUN
ijassa-1412	188	14	activation	activation	NOUN
ijassa-1412	188	15	function	function	NOUN
ijassa-1412	188	16	.	.	PUNCT
ijassa-1412	189	1	5	5	X
ijassa-1412	189	2	.	.	X
ijassa-1412	189	3	experimental	experimental	ADJ
ijassa-1412	189	4	evaluation	evaluation	NOUN
ijassa-1412	189	5	of	of	ADP
ijassa-1412	189	6	the	the	DET
ijassa-1412	189	7	two	two	NUM
ijassa-1412	189	8	methods	method	NOUN
ijassa-1412	189	9	5.1	5.1	NUM
ijassa-1412	189	10	.	.	PUNCT
ijassa-1412	190	1	dataset	dataset	NOUN
ijassa-1412	190	2	preparation	preparation	NOUN
ijassa-1412	190	3	the	the	DET
ijassa-1412	190	4	ucsd	ucsd	PROPN
ijassa-1412	190	5	dataset	dataset	PROPN
ijassa-1412	190	6	contains	contain	VERB
ijassa-1412	190	7	19	19	NUM
ijassa-1412	190	8	nighttime	nighttime	ADJ
ijassa-1412	190	9	highway	highway	NOUN
ijassa-1412	190	10	traffic	traffic	NOUN
ijassa-1412	190	11	videos	video	NOUN
ijassa-1412	190	12	recorded	record	VERB
ijassa-1412	190	13	by	by	ADP
ijassa-1412	190	14	a	a	DET
ijassa-1412	190	15	stationary	stationary	ADJ
ijassa-1412	190	16	camera	camera	NOUN
ijassa-1412	190	17	,	,	PUNCT
ijassa-1412	190	18	under	under	ADP
ijassa-1412	190	19	different	different	ADJ
ijassa-1412	190	20	weather	weather	NOUN
ijassa-1412	190	21	conditions	condition	NOUN
ijassa-1412	190	22	:	:	PUNCT
ijassa-1412	190	23	clear	clear	ADJ
ijassa-1412	190	24	,	,	PUNCT
ijassa-1412	190	25	rainy	rainy	ADJ
ijassa-1412	190	26	,	,	PUNCT
ijassa-1412	190	27	and	and	CCONJ
ijassa-1412	190	28	overcast	overcast	ADJ
ijassa-1412	190	29	.	.	PUNCT
ijassa-1412	191	1	each	each	DET
ijassa-1412	191	2	video	video	NOUN
ijassa-1412	191	3	has	have	VERB
ijassa-1412	191	4	a	a	DET
ijassa-1412	191	5	duration	duration	NOUN
ijassa-1412	191	6	of	of	ADP
ijassa-1412	191	7	about	about	ADV
ijassa-1412	191	8	five	five	NUM
ijassa-1412	191	9	seconds	second	NOUN
ijassa-1412	191	10	and	and	CCONJ
ijassa-1412	191	11	contains	contain	VERB
ijassa-1412	191	12	between	between	ADP
ijassa-1412	191	13	45	45	NUM
ijassa-1412	191	14	and	and	CCONJ
ijassa-1412	191	15	50	50	NUM
ijassa-1412	191	16	frames	frame	NOUN
ijassa-1412	191	17	.	.	PUNCT
ijassa-1412	192	1	the	the	DET
ijassa-1412	192	2	dataset	dataset	NOUN
ijassa-1412	192	3	comprises	comprise	VERB
ijassa-1412	192	4	diverse	diverse	ADJ
ijassa-1412	192	5	traffic	traffic	NOUN
ijassa-1412	192	6	categories	category	NOUN
ijassa-1412	192	7	:	:	PUNCT
ijassa-1412	193	1	light	light	ADJ
ijassa-1412	193	2	,	,	PUNCT
ijassa-1412	193	3	medium	medium	ADJ
ijassa-1412	193	4	,	,	PUNCT
ijassa-1412	193	5	and	and	CCONJ
ijassa-1412	193	6	heavy	heavy	ADJ
ijassa-1412	193	7	.	.	PUNCT
ijassa-1412	193	8	hand	hand	NOUN
ijassa-1412	193	9	-	-	PUNCT
ijassa-1412	193	10	labeled	label	VERB
ijassa-1412	193	11	ground	ground	NOUN
ijassa-1412	193	12	truth	truth	NOUN
ijassa-1412	193	13	was	be	AUX
ijassa-1412	193	14	provided	provide	VERB
ijassa-1412	193	15	;	;	PUNCT
ijassa-1412	193	16	it	it	PRON
ijassa-1412	193	17	assigns	assign	VERB
ijassa-1412	193	18	one	one	NUM
ijassa-1412	193	19	of	of	ADP
ijassa-1412	193	20	these	these	DET
ijassa-1412	193	21	three	three	NUM
ijassa-1412	193	22	categories	category	NOUN
ijassa-1412	193	23	to	to	ADP
ijassa-1412	193	24	each	each	DET
ijassa-1412	193	25	video	video	NOUN
ijassa-1412	193	26	sequence	sequence	NOUN
ijassa-1412	193	27	.	.	PUNCT
ijassa-1412	194	1	in	in	ADP
ijassa-1412	194	2	total	total	NOUN
ijassa-1412	194	3	,	,	PUNCT
ijassa-1412	194	4	the	the	DET
ijassa-1412	194	5	19	19	NUM
ijassa-1412	194	6	videos	video	NOUN
ijassa-1412	194	7	produced	produce	VERB
ijassa-1412	194	8	a	a	DET
ijassa-1412	194	9	set	set	NOUN
ijassa-1412	194	10	of	of	ADP
ijassa-1412	194	11	1112	1112	NUM
ijassa-1412	194	12	frames	frame	NOUN
ijassa-1412	194	13	for	for	ADP
ijassa-1412	194	14	all	all	DET
ijassa-1412	194	15	traffic	traffic	NOUN
ijassa-1412	194	16	categories	category	NOUN
ijassa-1412	194	17	,	,	PUNCT
ijassa-1412	194	18	which	which	PRON
ijassa-1412	194	19	was	be	AUX
ijassa-1412	194	20	used	use	VERB
ijassa-1412	194	21	to	to	PART
ijassa-1412	194	22	train	train	VERB
ijassa-1412	194	23	and	and	CCONJ
ijassa-1412	194	24	test	test	VERB
ijassa-1412	194	25	the	the	DET
ijassa-1412	194	26	network	network	NOUN
ijassa-1412	194	27	.	.	PUNCT
ijassa-1412	195	1	some	some	PRON
ijassa-1412	195	2	of	of	ADP
ijassa-1412	195	3	these	these	DET
ijassa-1412	195	4	frames	frame	NOUN
ijassa-1412	195	5	are	be	AUX
ijassa-1412	195	6	shown	show	VERB
ijassa-1412	195	7	in	in	ADP
ijassa-1412	195	8	figure	figure	NOUN
ijassa-1412	195	9	5	5	NUM
ijassa-1412	195	10	.	.	PUNCT
ijassa-1412	195	11	sofiane	sofiane	ADJ
ijassa-1412	195	12	abdelkrim	abdelkrim	PROPN
ijassa-1412	195	13	khalladi	khalladi	PROPN
ijassa-1412	195	14	,	,	PUNCT
ijassa-1412	195	15	asmâa	asmâa	PROPN
ijassa-1412	195	16	ouessai	ouessai	PROPN
ijassa-1412	195	17	,	,	PUNCT
ijassa-1412	195	18	mokhtar	mokhtar	PROPN
ijassa-1412	195	19	keche	keche	PROPN
ijassa-1412	195	20	136	136	NUM
ijassa-1412	195	21	copyright	copyright	NOUN
ijassa-1412	195	22	©	©	PROPN
ijassa-1412	195	23	2024	2024	NUM
ijassa-1412	195	24	assa	assa	PROPN
ijassa-1412	195	25	adv	adv	PROPN
ijassa-1412	195	26	.	.	PUNCT
ijassa-1412	196	1	in	in	ADP
ijassa-1412	196	2	systems	system	NOUN
ijassa-1412	196	3	science	science	NOUN
ijassa-1412	196	4	and	and	CCONJ
ijassa-1412	196	5	appl	appl	NOUN
ijassa-1412	196	6	.	.	PUNCT
ijassa-1412	197	1	(	(	PUNCT
ijassa-1412	197	2	2024	2024	NUM
ijassa-1412	197	3	)	)	PUNCT
ijassa-1412	197	4	fig	fig	NOUN
ijassa-1412	197	5	.	.	PUNCT
ijassa-1412	198	1	5	5	NUM
ijassa-1412	198	2	.	.	NOUN
ijassa-1412	198	3	example	example	NOUN
ijassa-1412	198	4	frames	frame	NOUN
ijassa-1412	198	5	from	from	ADP
ijassa-1412	198	6	the	the	DET
ijassa-1412	198	7	nighttime	nighttime	NOUN
ijassa-1412	198	8	ucsd	ucsd	PROPN
ijassa-1412	198	9	dataset	dataset	VERB
ijassa-1412	198	10	all	all	DET
ijassa-1412	198	11	experimental	experimental	ADJ
ijassa-1412	198	12	results	result	NOUN
ijassa-1412	198	13	were	be	AUX
ijassa-1412	198	14	averaged	average	VERB
ijassa-1412	198	15	over	over	ADP
ijassa-1412	198	16	four	four	NUM
ijassa-1412	198	17	trials	trial	NOUN
ijassa-1412	198	18	.	.	PUNCT
ijassa-1412	199	1	in	in	ADP
ijassa-1412	199	2	each	each	DET
ijassa-1412	199	3	trial	trial	NOUN
ijassa-1412	199	4	,	,	PUNCT
ijassa-1412	199	5	the	the	DET
ijassa-1412	199	6	dataset	dataset	NOUN
ijassa-1412	199	7	was	be	AUX
ijassa-1412	199	8	split	split	VERB
ijassa-1412	199	9	differently	differently	ADV
ijassa-1412	199	10	and	and	CCONJ
ijassa-1412	199	11	randomly	randomly	ADV
ijassa-1412	199	12	into	into	ADP
ijassa-1412	199	13	2	2	NUM
ijassa-1412	199	14	sub	sub	NOUN
ijassa-1412	199	15	-	-	NOUN
ijassa-1412	199	16	sets	set	NOUN
ijassa-1412	199	17	,	,	PUNCT
ijassa-1412	199	18	containing	contain	VERB
ijassa-1412	199	19	,	,	PUNCT
ijassa-1412	199	20	respectively	respectively	ADV
ijassa-1412	199	21	,	,	PUNCT
ijassa-1412	199	22	75	75	NUM
ijassa-1412	199	23	%	%	NOUN
ijassa-1412	199	24	and	and	CCONJ
ijassa-1412	199	25	25	25	NUM
ijassa-1412	199	26	%	%	NOUN
ijassa-1412	199	27	of	of	ADP
ijassa-1412	199	28	the	the	DET
ijassa-1412	199	29	1112	1112	NUM
ijassa-1412	199	30	frames	frame	NOUN
ijassa-1412	199	31	.	.	PUNCT
ijassa-1412	200	1	the	the	DET
ijassa-1412	200	2	first	first	ADJ
ijassa-1412	200	3	sub	sub	NOUN
ijassa-1412	200	4	-	-	ADJ
ijassa-1412	200	5	set	set	ADJ
ijassa-1412	200	6	was	be	AUX
ijassa-1412	200	7	used	use	VERB
ijassa-1412	200	8	for	for	ADP
ijassa-1412	200	9	training	training	NOUN
ijassa-1412	200	10	and	and	CCONJ
ijassa-1412	200	11	cross	cross	NOUN
ijassa-1412	200	12	-	-	NOUN
ijassa-1412	200	13	validation	validation	ADJ
ijassa-1412	200	14	[	[	X
ijassa-1412	200	15	26	26	NUM
ijassa-1412	200	16	]	]	PUNCT
ijassa-1412	200	17	,	,	PUNCT
ijassa-1412	200	18	and	and	CCONJ
ijassa-1412	200	19	the	the	DET
ijassa-1412	200	20	second	second	ADJ
ijassa-1412	200	21	one	one	NOUN
ijassa-1412	200	22	was	be	AUX
ijassa-1412	200	23	reserved	reserve	VERB
ijassa-1412	200	24	for	for	ADP
ijassa-1412	200	25	testing	testing	NOUN
ijassa-1412	200	26	.	.	PUNCT
ijassa-1412	201	1	to	to	PART
ijassa-1412	201	2	avoid	avoid	VERB
ijassa-1412	201	3	overfitting	overfitte	VERB
ijassa-1412	201	4	,	,	PUNCT
ijassa-1412	201	5	dropout	dropout	NOUN
ijassa-1412	201	6	regularization	regularization	NOUN
ijassa-1412	201	7	was	be	AUX
ijassa-1412	201	8	combined	combine	VERB
ijassa-1412	201	9	with	with	ADP
ijassa-1412	201	10	the	the	DET
ijassa-1412	201	11	data	data	NOUN
ijassa-1412	201	12	augmentation	augmentation	NOUN
ijassa-1412	201	13	technique	technique	NOUN
ijassa-1412	201	14	[	[	X
ijassa-1412	201	15	27	27	NUM
ijassa-1412	201	16	]	]	PUNCT
ijassa-1412	201	17	.	.	PUNCT
ijassa-1412	202	1	overfitting	overfitte	VERB
ijassa-1412	202	2	is	be	AUX
ijassa-1412	202	3	a	a	DET
ijassa-1412	202	4	fundamental	fundamental	ADJ
ijassa-1412	202	5	problem	problem	NOUN
ijassa-1412	202	6	in	in	ADP
ijassa-1412	202	7	supervised	supervised	ADJ
ijassa-1412	202	8	machine	machine	NOUN
ijassa-1412	202	9	learning	learning	NOUN
ijassa-1412	202	10	;	;	PUNCT
ijassa-1412	202	11	it	it	PRON
ijassa-1412	202	12	limits	limit	VERB
ijassa-1412	202	13	the	the	DET
ijassa-1412	202	14	ability	ability	NOUN
ijassa-1412	202	15	to	to	PART
ijassa-1412	202	16	perfectly	perfectly	ADV
ijassa-1412	202	17	generalize	generalize	VERB
ijassa-1412	202	18	models	model	NOUN
ijassa-1412	202	19	and	and	CCONJ
ijassa-1412	202	20	fit	fit	ADJ
ijassa-1412	202	21	observed	observed	ADJ
ijassa-1412	202	22	data	datum	NOUN
ijassa-1412	202	23	during	during	ADP
ijassa-1412	202	24	training	training	NOUN
ijassa-1412	202	25	,	,	PUNCT
ijassa-1412	202	26	as	as	ADV
ijassa-1412	202	27	well	well	ADV
ijassa-1412	202	28	as	as	ADP
ijassa-1412	202	29	unseen	unseen	ADJ
ijassa-1412	202	30	data	datum	NOUN
ijassa-1412	202	31	in	in	ADP
ijassa-1412	202	32	the	the	DET
ijassa-1412	202	33	test	test	NOUN
ijassa-1412	202	34	set	set	NOUN
ijassa-1412	202	35	.	.	PUNCT
ijassa-1412	203	1	overfitting	overfitte	VERB
ijassa-1412	203	2	occurs	occur	VERB
ijassa-1412	203	3	due	due	ADP
ijassa-1412	203	4	to	to	ADP
ijassa-1412	203	5	the	the	DET
ijassa-1412	203	6	presence	presence	NOUN
ijassa-1412	203	7	of	of	ADP
ijassa-1412	203	8	noise	noise	NOUN
ijassa-1412	203	9	,	,	PUNCT
ijassa-1412	203	10	the	the	DET
ijassa-1412	203	11	limited	limited	ADJ
ijassa-1412	203	12	size	size	NOUN
ijassa-1412	203	13	of	of	ADP
ijassa-1412	203	14	the	the	DET
ijassa-1412	203	15	training	training	NOUN
ijassa-1412	203	16	set	set	NOUN
ijassa-1412	203	17	,	,	PUNCT
ijassa-1412	203	18	and	and	CCONJ
ijassa-1412	203	19	the	the	DET
ijassa-1412	203	20	complexity	complexity	NOUN
ijassa-1412	203	21	of	of	ADP
ijassa-1412	203	22	classifiers	classifier	NOUN
ijassa-1412	203	23	.	.	PUNCT
ijassa-1412	204	1	a	a	DET
ijassa-1412	204	2	variety	variety	NOUN
ijassa-1412	204	3	of	of	ADP
ijassa-1412	204	4	algorithms	algorithm	NOUN
ijassa-1412	204	5	have	have	AUX
ijassa-1412	204	6	been	be	AUX
ijassa-1412	204	7	proposed	propose	VERB
ijassa-1412	204	8	to	to	PART
ijassa-1412	204	9	reduce	reduce	VERB
ijassa-1412	204	10	the	the	DET
ijassa-1412	204	11	effect	effect	NOUN
ijassa-1412	204	12	of	of	ADP
ijassa-1412	204	13	overfitting	overfitte	VERB
ijassa-1412	204	14	,	,	PUNCT
ijassa-1412	204	15	like	like	ADP
ijassa-1412	204	16	dropout	dropout	NOUN
ijassa-1412	204	17	and	and	CCONJ
ijassa-1412	204	18	data	datum	NOUN
ijassa-1412	204	19	augmentation	augmentation	NOUN
ijassa-1412	204	20	where	where	SCONJ
ijassa-1412	204	21	basic	basic	ADJ
ijassa-1412	204	22	image	image	NOUN
ijassa-1412	204	23	transformations	transformation	NOUN
ijassa-1412	204	24	,	,	PUNCT
ijassa-1412	204	25	such	such	ADJ
ijassa-1412	204	26	as	as	ADP
ijassa-1412	204	27	rotation	rotation	NOUN
ijassa-1412	204	28	,	,	PUNCT
ijassa-1412	204	29	flipping	flipping	NOUN
ijassa-1412	204	30	,	,	PUNCT
ijassa-1412	204	31	and	and	CCONJ
ijassa-1412	204	32	cropping	cropping	NOUN
ijassa-1412	204	33	,	,	PUNCT
ijassa-1412	204	34	are	be	AUX
ijassa-1412	204	35	applied	apply	VERB
ijassa-1412	204	36	.	.	PUNCT
ijassa-1412	205	1	most	most	ADJ
ijassa-1412	205	2	of	of	ADP
ijassa-1412	205	3	these	these	DET
ijassa-1412	205	4	techniques	technique	NOUN
ijassa-1412	205	5	manipulate	manipulate	VERB
ijassa-1412	205	6	the	the	DET
ijassa-1412	205	7	images	image	NOUN
ijassa-1412	205	8	directly	directly	ADV
ijassa-1412	205	9	and	and	CCONJ
ijassa-1412	205	10	are	be	AUX
ijassa-1412	205	11	easy	easy	ADJ
ijassa-1412	205	12	to	to	PART
ijassa-1412	205	13	implement	implement	VERB
ijassa-1412	205	14	.	.	PUNCT
ijassa-1412	206	1	to	to	PART
ijassa-1412	206	2	guarantee	guarantee	VERB
ijassa-1412	206	3	data	datum	NOUN
ijassa-1412	206	4	augmentation	augmentation	NOUN
ijassa-1412	206	5	,	,	PUNCT
ijassa-1412	206	6	images	image	NOUN
ijassa-1412	206	7	were	be	AUX
ijassa-1412	206	8	rotated	rotate	VERB
ijassa-1412	206	9	by	by	ADP
ijassa-1412	206	10	30	30	NUM
ijassa-1412	206	11	degrees	degree	NOUN
ijassa-1412	206	12	,	,	PUNCT
ijassa-1412	206	13	flipped	flip	VERB
ijassa-1412	206	14	horizontally	horizontally	ADV
ijassa-1412	206	15	and	and	CCONJ
ijassa-1412	206	16	vertically	vertically	ADV
ijassa-1412	206	17	,	,	PUNCT
ijassa-1412	206	18	with	with	ADP
ijassa-1412	206	19	horizontal	horizontal	ADJ
ijassa-1412	206	20	flipping	flipping	NOUN
ijassa-1412	206	21	including	include	VERB
ijassa-1412	206	22	flipping	flip	VERB
ijassa-1412	206	23	the	the	DET
ijassa-1412	206	24	image	image	NOUN
ijassa-1412	206	25	along	along	ADP
ijassa-1412	206	26	the	the	DET
ijassa-1412	206	27	vertical	vertical	ADJ
ijassa-1412	206	28	axis	axis	NOUN
ijassa-1412	206	29	(	(	PUNCT
ijassa-1412	206	30	left	leave	VERB
ijassa-1412	206	31	to	to	ADP
ijassa-1412	206	32	right	right	NOUN
ijassa-1412	206	33	)	)	PUNCT
ijassa-1412	206	34	and	and	CCONJ
ijassa-1412	206	35	vertical	vertical	ADJ
ijassa-1412	206	36	flipping	flipping	NOUN
ijassa-1412	206	37	involving	involve	VERB
ijassa-1412	206	38	flipping	flip	VERB
ijassa-1412	206	39	the	the	DET
ijassa-1412	206	40	image	image	NOUN
ijassa-1412	206	41	along	along	ADP
ijassa-1412	206	42	the	the	DET
ijassa-1412	206	43	horizontal	horizontal	ADJ
ijassa-1412	206	44	axis	axis	NOUN
ijassa-1412	206	45	(	(	PUNCT
ijassa-1412	206	46	top	top	NOUN
ijassa-1412	206	47	to	to	ADP
ijassa-1412	206	48	bottom	bottom	NOUN
ijassa-1412	206	49	)	)	PUNCT
ijassa-1412	206	50	.	.	PUNCT
ijassa-1412	207	1	rotation	rotation	NOUN
ijassa-1412	207	2	and	and	CCONJ
ijassa-1412	207	3	flipping	flipping	NOUN
ijassa-1412	207	4	are	be	AUX
ijassa-1412	207	5	two	two	NUM
ijassa-1412	207	6	transformations	transformation	NOUN
ijassa-1412	207	7	that	that	PRON
ijassa-1412	207	8	let	let	VERB
ijassa-1412	207	9	the	the	DET
ijassa-1412	207	10	model	model	NOUN
ijassa-1412	207	11	generalize	generalize	VERB
ijassa-1412	207	12	to	to	ADP
ijassa-1412	207	13	objects	object	NOUN
ijassa-1412	207	14	in	in	ADP
ijassa-1412	207	15	different	different	ADJ
ijassa-1412	207	16	orientations	orientation	NOUN
ijassa-1412	207	17	.	.	PUNCT
ijassa-1412	208	1	zooming	zoom	VERB
ijassa-1412	208	2	in	in	ADP
ijassa-1412	208	3	entails	entail	NOUN
ijassa-1412	208	4	magnifying	magnify	VERB
ijassa-1412	208	5	a	a	DET
ijassa-1412	208	6	section	section	NOUN
ijassa-1412	208	7	of	of	ADP
ijassa-1412	208	8	the	the	DET
ijassa-1412	208	9	image	image	NOUN
ijassa-1412	208	10	,	,	PUNCT
ijassa-1412	208	11	enlarging	enlarge	VERB
ijassa-1412	208	12	the	the	DET
ijassa-1412	208	13	specified	specified	ADJ
ijassa-1412	208	14	location	location	NOUN
ijassa-1412	208	15	.	.	PUNCT
ijassa-1412	209	1	this	this	PRON
ijassa-1412	209	2	can	can	AUX
ijassa-1412	209	3	help	help	VERB
ijassa-1412	209	4	the	the	DET
ijassa-1412	209	5	model	model	NOUN
ijassa-1412	209	6	become	become	VERB
ijassa-1412	209	7	more	more	ADV
ijassa-1412	209	8	resistant	resistant	ADJ
ijassa-1412	209	9	to	to	PART
ijassa-1412	209	10	scale	scale	VERB
ijassa-1412	209	11	changes	change	NOUN
ijassa-1412	209	12	and	and	CCONJ
ijassa-1412	209	13	increase	increase	VERB
ijassa-1412	209	14	its	its	PRON
ijassa-1412	209	15	ability	ability	NOUN
ijassa-1412	209	16	to	to	PART
ijassa-1412	209	17	distinguish	distinguish	VERB
ijassa-1412	209	18	objects	object	NOUN
ijassa-1412	209	19	of	of	ADP
ijassa-1412	209	20	varying	vary	VERB
ijassa-1412	209	21	sizes	size	NOUN
ijassa-1412	209	22	.	.	PUNCT
ijassa-1412	210	1	these	these	DET
ijassa-1412	210	2	changes	change	NOUN
ijassa-1412	210	3	enable	enable	VERB
ijassa-1412	210	4	for	for	ADP
ijassa-1412	210	5	the	the	DET
ijassa-1412	210	6	creation	creation	NOUN
ijassa-1412	210	7	of	of	ADP
ijassa-1412	210	8	a	a	DET
ijassa-1412	210	9	more	more	ADV
ijassa-1412	210	10	diversified	diversified	ADJ
ijassa-1412	210	11	training	training	NOUN
ijassa-1412	210	12	dataset	dataset	NOUN
ijassa-1412	210	13	.	.	PUNCT
ijassa-1412	211	1	this	this	PRON
ijassa-1412	211	2	is	be	AUX
ijassa-1412	211	3	advantageous	advantageous	ADJ
ijassa-1412	211	4	because	because	SCONJ
ijassa-1412	211	5	it	it	PRON
ijassa-1412	211	6	subjects	subject	VERB
ijassa-1412	211	7	the	the	DET
ijassa-1412	211	8	model	model	NOUN
ijassa-1412	211	9	to	to	ADP
ijassa-1412	211	10	a	a	DET
ijassa-1412	211	11	broader	broad	ADJ
ijassa-1412	211	12	range	range	NOUN
ijassa-1412	211	13	of	of	ADP
ijassa-1412	211	14	changes	change	NOUN
ijassa-1412	211	15	that	that	PRON
ijassa-1412	211	16	it	it	PRON
ijassa-1412	211	17	may	may	AUX
ijassa-1412	211	18	meet	meet	VERB
ijassa-1412	211	19	in	in	ADP
ijassa-1412	211	20	real	real	ADJ
ijassa-1412	211	21	-	-	PUNCT
ijassa-1412	211	22	world	world	NOUN
ijassa-1412	211	23	circumstances	circumstance	NOUN
ijassa-1412	211	24	,	,	PUNCT
ijassa-1412	211	25	making	make	VERB
ijassa-1412	211	26	it	it	PRON
ijassa-1412	211	27	more	more	ADV
ijassa-1412	211	28	resilient	resilient	ADJ
ijassa-1412	211	29	and	and	CCONJ
ijassa-1412	211	30	less	less	ADV
ijassa-1412	211	31	prone	prone	ADJ
ijassa-1412	211	32	to	to	ADP
ijassa-1412	211	33	overfitting	overfitte	VERB
ijassa-1412	211	34	.	.	PUNCT
ijassa-1412	212	1	if	if	SCONJ
ijassa-1412	212	2	m	m	VERB
ijassa-1412	212	3	distinct	distinct	ADJ
ijassa-1412	212	4	augmentation	augmentation	NOUN
ijassa-1412	212	5	procedures	procedure	NOUN
ijassa-1412	212	6	are	be	AUX
ijassa-1412	212	7	applied	apply	VERB
ijassa-1412	212	8	to	to	ADP
ijassa-1412	212	9	each	each	PRON
ijassa-1412	212	10	of	of	ADP
ijassa-1412	212	11	the	the	DET
ijassa-1412	212	12	n	n	PRON
ijassa-1412	212	13	original	original	ADJ
ijassa-1412	212	14	images	image	NOUN
ijassa-1412	212	15	,	,	PUNCT
ijassa-1412	212	16	each	each	PRON
ijassa-1412	212	17	with	with	ADP
ijassa-1412	212	18	a	a	DET
ijassa-1412	212	19	unique	unique	ADJ
ijassa-1412	212	20	set	set	NOUN
ijassa-1412	212	21	of	of	ADP
ijassa-1412	212	22	parameter	parameter	NOUN
ijassa-1412	212	23	parameters	parameter	NOUN
ijassa-1412	212	24	,	,	PUNCT
ijassa-1412	212	25	then	then	ADV
ijassa-1412	212	26	the	the	DET
ijassa-1412	212	27	total	total	ADJ
ijassa-1412	212	28	number	number	NOUN
ijassa-1412	212	29	of	of	ADP
ijassa-1412	212	30	enhanced	enhance	VERB
ijassa-1412	212	31	images	image	NOUN
ijassa-1412	212	32	can	can	AUX
ijassa-1412	212	33	be	be	AUX
ijassa-1412	212	34	calculated	calculate	VERB
ijassa-1412	212	35	by	by	ADP
ijassa-1412	212	36	the	the	DET
ijassa-1412	212	37	following	follow	VERB
ijassa-1412	212	38	formula	formula	NOUN
ijassa-1412	212	39	:	:	PUNCT
ijassa-1412	212	40	𝑇	𝑇	PROPN
ijassa-1412	212	41	=	=	SYM
ijassa-1412	212	42	𝑁	𝑁	PROPN
ijassa-1412	212	43	𝑥	𝑥	PROPN
ijassa-1412	212	44	𝑀	𝑀	PROPN
ijassa-1412	212	45	(	(	PUNCT
ijassa-1412	212	46	2	2	NUM
ijassa-1412	212	47	)	)	PUNCT
ijassa-1412	212	48	in	in	ADP
ijassa-1412	212	49	our	our	PRON
ijassa-1412	212	50	approach	approach	NOUN
ijassa-1412	212	51	for	for	ADP
ijassa-1412	212	52	each	each	DET
ijassa-1412	212	53	original	original	ADJ
ijassa-1412	212	54	image	image	NOUN
ijassa-1412	212	55	,	,	PUNCT
ijassa-1412	212	56	we	we	PRON
ijassa-1412	212	57	generate	generate	VERB
ijassa-1412	212	58	a	a	DET
ijassa-1412	212	59	total	total	NOUN
ijassa-1412	212	60	of	of	ADP
ijassa-1412	212	61	7	7	NUM
ijassa-1412	212	62	augmented	augment	VERB
ijassa-1412	212	63	images	image	NOUN
ijassa-1412	212	64	including	include	VERB
ijassa-1412	212	65	the	the	DET
ijassa-1412	212	66	original	original	ADJ
ijassa-1412	212	67	image	image	NOUN
ijassa-1412	212	68	.	.	PUNCT
ijassa-1412	213	1	with	with	ADP
ijassa-1412	213	2	834	834	NUM
ijassa-1412	213	3	original	original	ADJ
ijassa-1412	213	4	training	training	NOUN
ijassa-1412	213	5	images	image	NOUN
ijassa-1412	213	6	,	,	PUNCT
ijassa-1412	213	7	the	the	DET
ijassa-1412	213	8	total	total	ADJ
ijassa-1412	213	9	number	number	NOUN
ijassa-1412	213	10	of	of	ADP
ijassa-1412	213	11	augmented	augment	VERB
ijassa-1412	213	12	images	image	NOUN
ijassa-1412	213	13	would	would	AUX
ijassa-1412	213	14	be	be	AUX
ijassa-1412	213	15	:	:	PUNCT
ijassa-1412	213	16	834	834	NUM
ijassa-1412	213	17	original	original	ADJ
ijassa-1412	213	18	training	training	NOUN
ijassa-1412	213	19	images	image	NOUN
ijassa-1412	213	20	×	×	NOUN
ijassa-1412	213	21	7	7	NUM
ijassa-1412	213	22	augmentations	augmentation	NOUN
ijassa-1412	213	23	per	per	ADP
ijassa-1412	213	24	image	image	NOUN
ijassa-1412	213	25	=	=	SYM
ijassa-1412	213	26	5838	5838	NUM
ijassa-1412	213	27	augmented	augment	VERB
ijassa-1412	213	28	images	image	NOUN
ijassa-1412	213	29	5.2	5.2	NUM
ijassa-1412	213	30	.	.	PUNCT
ijassa-1412	214	1	training	training	NOUN
ijassa-1412	214	2	process	process	NOUN
ijassa-1412	214	3	in	in	ADP
ijassa-1412	214	4	the	the	DET
ijassa-1412	214	5	first	first	ADJ
ijassa-1412	214	6	method	method	NOUN
ijassa-1412	214	7	on	on	ADP
ijassa-1412	214	8	a	a	DET
ijassa-1412	214	9	google	google	PROPN
ijassa-1412	214	10	colab	colab	PROPN
ijassa-1412	214	11	gpu	gpu	PROPN
ijassa-1412	214	12	,	,	PUNCT
ijassa-1412	214	13	the	the	DET
ijassa-1412	214	14	model	model	NOUN
ijassa-1412	214	15	training	training	NOUN
ijassa-1412	214	16	took	take	VERB
ijassa-1412	214	17	ten	ten	NUM
ijassa-1412	214	18	minutes	minute	NOUN
ijassa-1412	214	19	.	.	PUNCT
ijassa-1412	215	1	we	we	PRON
ijassa-1412	215	2	employed	employ	VERB
ijassa-1412	215	3	mini	mini	NOUN
ijassa-1412	215	4	-	-	NOUN
ijassa-1412	215	5	batch	batch	ADJ
ijassa-1412	215	6	gradient	gradient	ADJ
ijassa-1412	215	7	descent	descent	NOUN
ijassa-1412	215	8	with	with	ADP
ijassa-1412	215	9	adam	adam	PROPN
ijassa-1412	215	10	[	[	X
ijassa-1412	215	11	28	28	NUM
ijassa-1412	215	12	]	]	PUNCT
ijassa-1412	215	13	optimization	optimization	NOUN
ijassa-1412	215	14	with	with	ADP
ijassa-1412	215	15	a	a	DET
ijassa-1412	215	16	learning	learn	VERB
ijassa-1412	215	17	rate	rate	NOUN
ijassa-1412	215	18	of	of	ADP
ijassa-1412	215	19	0.001	0.001	NUM
ijassa-1412	215	20	to	to	PART
ijassa-1412	215	21	train	train	VERB
ijassa-1412	215	22	our	our	PRON
ijassa-1412	215	23	cnn	cnn	NOUN
ijassa-1412	215	24	model	model	NOUN
ijassa-1412	215	25	using	use	VERB
ijassa-1412	215	26	python	python	NOUN
ijassa-1412	215	27	and	and	CCONJ
ijassa-1412	215	28	the	the	DET
ijassa-1412	215	29	keras	keras	PROPN
ijassa-1412	215	30	library	library	NOUN
ijassa-1412	216	1	[	[	X
ijassa-1412	216	2	29	29	NUM
ijassa-1412	216	3	]	]	PUNCT
ijassa-1412	216	4	,	,	PUNCT
ijassa-1412	216	5	which	which	PRON
ijassa-1412	216	6	is	be	AUX
ijassa-1412	216	7	built	build	VERB
ijassa-1412	216	8	on	on	ADP
ijassa-1412	216	9	top	top	NOUN
ijassa-1412	216	10	of	of	ADP
ijassa-1412	216	11	the	the	DET
ijassa-1412	216	12	theano	theano	NOUN
ijassa-1412	216	13	library	library	NOUN
ijassa-1412	217	1	[	[	X
ijassa-1412	217	2	30	30	NUM
ijassa-1412	217	3	]	]	PUNCT
ijassa-1412	217	4	.	.	PUNCT
ijassa-1412	218	1	our	our	PRON
ijassa-1412	218	2	implemented	implement	VERB
ijassa-1412	218	3	cnn	cnn	PROPN
ijassa-1412	218	4	model	model	NOUN
ijassa-1412	218	5	utilizes	utilize	VERB
ijassa-1412	218	6	a	a	DET
ijassa-1412	218	7	batch	batch	NOUN
ijassa-1412	218	8	of	of	ADP
ijassa-1412	218	9	size	size	NOUN
ijassa-1412	218	10	64	64	NUM
ijassa-1412	218	11	and	and	CCONJ
ijassa-1412	218	12	100	100	NUM
ijassa-1412	218	13	epochs	epoch	NOUN
ijassa-1412	218	14	,	,	PUNCT
ijassa-1412	218	15	for	for	ADP
ijassa-1412	218	16	the	the	DET
ijassa-1412	218	17	mini	mini	NOUN
ijassa-1412	218	18	-	-	NOUN
ijassa-1412	218	19	batch	batch	ADJ
ijassa-1412	218	20	gradient	gradient	ADJ
ijassa-1412	218	21	descent	descent	NOUN
ijassa-1412	218	22	.	.	PUNCT
ijassa-1412	219	1	this	this	PRON
ijassa-1412	219	2	requires	require	VERB
ijassa-1412	219	3	13	13	NUM
ijassa-1412	219	4	iterations	iteration	NOUN
ijassa-1412	219	5	to	to	PART
ijassa-1412	219	6	complete	complete	VERB
ijassa-1412	219	7	an	an	DET
ijassa-1412	219	8	epoch	epoch	NOUN
ijassa-1412	219	9	.	.	PUNCT
ijassa-1412	220	1	for	for	ADP
ijassa-1412	220	2	each	each	DET
ijassa-1412	220	3	iteration	iteration	NOUN
ijassa-1412	220	4	,	,	PUNCT
ijassa-1412	220	5	a	a	DET
ijassa-1412	220	6	batch	batch	NOUN
ijassa-1412	220	7	of	of	ADP
ijassa-1412	220	8	64	64	NUM
ijassa-1412	220	9	images	image	NOUN
ijassa-1412	220	10	was	be	AUX
ijassa-1412	220	11	submitted	submit	VERB
ijassa-1412	220	12	to	to	ADP
ijassa-1412	220	13	the	the	DET
ijassa-1412	220	14	cnn	cnn	PROPN
ijassa-1412	220	15	model	model	NOUN
ijassa-1412	220	16	,	,	PUNCT
ijassa-1412	220	17	and	and	CCONJ
ijassa-1412	220	18	the	the	DET
ijassa-1412	220	19	weights	weight	NOUN
ijassa-1412	220	20	were	be	AUX
ijassa-1412	220	21	then	then	ADV
ijassa-1412	220	22	changed	change	VERB
ijassa-1412	220	23	through	through	ADP
ijassa-1412	220	24	backpropagation	backpropagation	NOUN
ijassa-1412	220	25	.	.	PUNCT
ijassa-1412	221	1	the	the	DET
ijassa-1412	221	2	categorical	categorical	PROPN
ijassa-1412	221	3	cross	cross	NOUN
ijassa-1412	221	4	entropy	entropy	NOUN
ijassa-1412	221	5	[	[	X
ijassa-1412	221	6	31	31	NUM
ijassa-1412	221	7	]	]	PUNCT
ijassa-1412	221	8	was	be	AUX
ijassa-1412	221	9	used	use	VERB
ijassa-1412	221	10	as	as	ADP
ijassa-1412	221	11	the	the	DET
ijassa-1412	221	12	loss	loss	NOUN
ijassa-1412	221	13	function	function	NOUN
ijassa-1412	221	14	to	to	PART
ijassa-1412	221	15	adjust	adjust	VERB
ijassa-1412	221	16	the	the	DET
ijassa-1412	221	17	model	model	NOUN
ijassa-1412	221	18	weights	weight	NOUN
ijassa-1412	221	19	during	during	ADP
ijassa-1412	221	20	training	training	NOUN
ijassa-1412	221	21	.	.	PUNCT
ijassa-1412	222	1	it	it	PRON
ijassa-1412	222	2	is	be	AUX
ijassa-1412	222	3	defined	define	VERB
ijassa-1412	222	4	by	by	ADP
ijassa-1412	222	5	:	:	PUNCT
ijassa-1412	222	6	𝐿	𝐿	PROPN
ijassa-1412	222	7	=	=	PROPN
ijassa-1412	222	8	−∑𝑡	−∑𝑡	PROPN
ijassa-1412	222	9	log(𝑃	log(𝑃	PROPN
ijassa-1412	222	10	)	)	PUNCT
ijassa-1412	222	11	,	,	PUNCT
ijassa-1412	222	12	(	(	PUNCT
ijassa-1412	222	13	3	3	X
ijassa-1412	222	14	)	)	PUNCT
ijassa-1412	222	15	where	where	SCONJ
ijassa-1412	222	16	ti	ti	PRON
ijassa-1412	222	17	is	be	AUX
ijassa-1412	222	18	the	the	DET
ijassa-1412	222	19	truth	truth	NOUN
ijassa-1412	222	20	label	label	NOUN
ijassa-1412	222	21	and	and	CCONJ
ijassa-1412	222	22	𝑃𝑖	𝑃𝑖	PROPN
ijassa-1412	222	23	is	be	AUX
ijassa-1412	222	24	the	the	DET
ijassa-1412	222	25	softmax	softmax	ADJ
ijassa-1412	222	26	probability	probability	NOUN
ijassa-1412	222	27	of	of	ADP
ijassa-1412	222	28	the	the	DET
ijassa-1412	222	29	𝑖𝑡ℎ	𝑖𝑡ℎ	NOUN
ijassa-1412	222	30	class	class	NOUN
ijassa-1412	222	31	.	.	PUNCT
ijassa-1412	223	1	sofiane	sofiane	ADJ
ijassa-1412	223	2	abdelkrim	abdelkrim	PROPN
ijassa-1412	223	3	khalladi	khalladi	PROPN
ijassa-1412	223	4	,	,	PUNCT
ijassa-1412	223	5	asmâa	asmâa	PROPN
ijassa-1412	223	6	ouessai	ouessai	PROPN
ijassa-1412	223	7	,	,	PUNCT
ijassa-1412	223	8	mokhtar	mokhtar	PROPN
ijassa-1412	223	9	keche	keche	NOUN
ijassa-1412	223	10	137	137	NUM
ijassa-1412	223	11	copyright	copyright	NOUN
ijassa-1412	223	12	©	©	PROPN
ijassa-1412	223	13	2024	2024	NUM
ijassa-1412	223	14	assa	assa	NOUN
ijassa-1412	223	15	.	.	PUNCT
ijassa-1412	224	1	adv	adv	PROPN
ijassa-1412	224	2	.	.	PUNCT
ijassa-1412	225	1	in	in	ADP
ijassa-1412	225	2	systems	system	NOUN
ijassa-1412	225	3	science	science	NOUN
ijassa-1412	225	4	and	and	CCONJ
ijassa-1412	225	5	appl	appl	NOUN
ijassa-1412	225	6	.	.	PUNCT
ijassa-1412	226	1	(	(	PUNCT
ijassa-1412	226	2	2024	2024	NUM
ijassa-1412	226	3	)	)	PUNCT
ijassa-1412	226	4	the	the	DET
ijassa-1412	226	5	aim	aim	NOUN
ijassa-1412	226	6	is	be	AUX
ijassa-1412	226	7	to	to	PART
ijassa-1412	226	8	minimize	minimize	VERB
ijassa-1412	226	9	the	the	DET
ijassa-1412	226	10	loss	loss	NOUN
ijassa-1412	226	11	,	,	PUNCT
ijassa-1412	226	12	i.e	i.e	PRON
ijassa-1412	226	13	,	,	PUNCT
ijassa-1412	226	14	the	the	DET
ijassa-1412	226	15	smaller	small	ADJ
ijassa-1412	226	16	the	the	DET
ijassa-1412	226	17	loss	loss	NOUN
ijassa-1412	226	18	the	the	PRON
ijassa-1412	226	19	better	well	ADJ
ijassa-1412	226	20	the	the	DET
ijassa-1412	226	21	model	model	NOUN
ijassa-1412	226	22	.	.	PUNCT
ijassa-1412	227	1	a	a	DET
ijassa-1412	227	2	perfect	perfect	ADJ
ijassa-1412	227	3	model	model	NOUN
ijassa-1412	227	4	has	have	VERB
ijassa-1412	227	5	a	a	DET
ijassa-1412	227	6	cross	cross	ADJ
ijassa-1412	227	7	-	-	ADJ
ijassa-1412	227	8	entropy	entropy	ADJ
ijassa-1412	227	9	loss	loss	NOUN
ijassa-1412	227	10	of	of	ADP
ijassa-1412	227	11	0	0	NUM
ijassa-1412	227	12	.	.	PUNCT
ijassa-1412	228	1	the	the	DET
ijassa-1412	228	2	loss	loss	NOUN
ijassa-1412	228	3	and	and	CCONJ
ijassa-1412	228	4	accuracy	accuracy	NOUN
ijassa-1412	228	5	graphs	graph	NOUN
ijassa-1412	228	6	presented	present	VERB
ijassa-1412	228	7	in	in	ADP
ijassa-1412	228	8	figure	figure	NOUN
ijassa-1412	228	9	6	6	NUM
ijassa-1412	228	10	show	show	NOUN
ijassa-1412	228	11	that	that	SCONJ
ijassa-1412	228	12	the	the	DET
ijassa-1412	228	13	training	training	NOUN
ijassa-1412	228	14	was	be	AUX
ijassa-1412	228	15	successful	successful	ADJ
ijassa-1412	228	16	.	.	PUNCT
ijassa-1412	229	1	indeed	indeed	ADV
ijassa-1412	229	2	100	100	NUM
ijassa-1412	229	3	%	%	NOUN
ijassa-1412	229	4	of	of	ADP
ijassa-1412	229	5	accuracy	accuracy	NOUN
ijassa-1412	229	6	was	be	AUX
ijassa-1412	229	7	reached	reach	VERB
ijassa-1412	229	8	during	during	ADP
ijassa-1412	229	9	training	training	NOUN
ijassa-1412	229	10	.	.	PUNCT
ijassa-1412	230	1	fig	fig	NOUN
ijassa-1412	230	2	.	.	PUNCT
ijassa-1412	231	1	6	6	X
ijassa-1412	231	2	.	.	X
ijassa-1412	231	3	training	training	NOUN
ijassa-1412	231	4	model	model	NOUN
ijassa-1412	231	5	loss	loss	NOUN
ijassa-1412	231	6	and	and	CCONJ
ijassa-1412	231	7	accuracy	accuracy	NOUN
ijassa-1412	231	8	versus	versus	ADP
ijassa-1412	231	9	epoch	epoch	NOUN
ijassa-1412	231	10	(	(	PUNCT
ijassa-1412	231	11	first	first	ADJ
ijassa-1412	231	12	method	method	NOUN
ijassa-1412	231	13	)	)	PUNCT
ijassa-1412	231	14	.	.	PUNCT
ijassa-1412	232	1	5.3	5.3	NUM
ijassa-1412	232	2	.	.	PUNCT
ijassa-1412	232	3	training	training	NOUN
ijassa-1412	232	4	process	process	NOUN
ijassa-1412	232	5	in	in	ADP
ijassa-1412	232	6	the	the	DET
ijassa-1412	232	7	second	second	ADJ
ijassa-1412	232	8	method	method	NOUN
ijassa-1412	232	9	the	the	DET
ijassa-1412	232	10	cnn	cnn	PROPN
ijassa-1412	232	11	model	model	NOUN
ijassa-1412	232	12	was	be	AUX
ijassa-1412	232	13	trained	train	VERB
ijassa-1412	232	14	using	use	VERB
ijassa-1412	232	15	the	the	DET
ijassa-1412	232	16	mini	mini	NOUN
ijassa-1412	232	17	-	-	NOUN
ijassa-1412	232	18	batch	batch	ADJ
ijassa-1412	232	19	gradient	gradient	ADJ
ijassa-1412	232	20	descent	descent	NOUN
ijassa-1412	232	21	algorithm	algorithm	NOUN
ijassa-1412	232	22	with	with	ADP
ijassa-1412	232	23	a	a	DET
ijassa-1412	232	24	batch	batch	NOUN
ijassa-1412	232	25	size	size	NOUN
ijassa-1412	232	26	of	of	ADP
ijassa-1412	232	27	250	250	NUM
ijassa-1412	232	28	,	,	PUNCT
ijassa-1412	232	29	and	and	CCONJ
ijassa-1412	232	30	the	the	DET
ijassa-1412	232	31	training	training	NOUN
ijassa-1412	232	32	process	process	NOUN
ijassa-1412	232	33	encompassed	encompass	VERB
ijassa-1412	232	34	100	100	NUM
ijassa-1412	232	35	epochs	epoch	NOUN
ijassa-1412	232	36	.	.	PUNCT
ijassa-1412	233	1	as	as	ADP
ijassa-1412	233	2	a	a	DET
ijassa-1412	233	3	result	result	NOUN
ijassa-1412	233	4	,	,	PUNCT
ijassa-1412	233	5	it	it	PRON
ijassa-1412	233	6	required	require	VERB
ijassa-1412	233	7	3	3	NUM
ijassa-1412	233	8	iterations	iteration	NOUN
ijassa-1412	233	9	to	to	PART
ijassa-1412	233	10	complete	complete	VERB
ijassa-1412	233	11	one	one	NUM
ijassa-1412	233	12	epoch	epoch	NOUN
ijassa-1412	233	13	.	.	PUNCT
ijassa-1412	234	1	a	a	DET
ijassa-1412	234	2	batch	batch	NOUN
ijassa-1412	234	3	of	of	ADP
ijassa-1412	234	4	250	250	NUM
ijassa-1412	234	5	images	image	NOUN
ijassa-1412	234	6	was	be	AUX
ijassa-1412	234	7	presented	present	VERB
ijassa-1412	234	8	to	to	ADP
ijassa-1412	234	9	the	the	DET
ijassa-1412	234	10	cnn	cnn	PROPN
ijassa-1412	234	11	model	model	NOUN
ijassa-1412	234	12	and	and	CCONJ
ijassa-1412	234	13	then	then	ADV
ijassa-1412	234	14	the	the	DET
ijassa-1412	234	15	weights	weight	NOUN
ijassa-1412	234	16	were	be	AUX
ijassa-1412	234	17	updated	update	VERB
ijassa-1412	234	18	by	by	ADP
ijassa-1412	234	19	backpropagation	backpropagation	NOUN
ijassa-1412	234	20	.	.	PUNCT
ijassa-1412	235	1	for	for	ADP
ijassa-1412	235	2	multiclass	multiclass	ADJ
ijassa-1412	235	3	classification	classification	NOUN
ijassa-1412	235	4	,	,	PUNCT
ijassa-1412	235	5	categorical	categorical	PROPN
ijassa-1412	235	6	cross	cross	NOUN
ijassa-1412	235	7	entropy	entropy	PROPN
ijassa-1412	235	8	is	be	AUX
ijassa-1412	235	9	used	use	VERB
ijassa-1412	235	10	for	for	ADP
ijassa-1412	235	11	the	the	DET
ijassa-1412	235	12	objective	objective	ADJ
ijassa-1412	235	13	function	function	NOUN
ijassa-1412	235	14	without	without	ADP
ijassa-1412	235	15	data	datum	NOUN
ijassa-1412	235	16	augmentation	augmentation	NOUN
ijassa-1412	235	17	.	.	PUNCT
ijassa-1412	236	1	figure	figure	VERB
ijassa-1412	236	2	7	7	NUM
ijassa-1412	236	3	presents	present	VERB
ijassa-1412	236	4	the	the	DET
ijassa-1412	236	5	results	result	NOUN
ijassa-1412	236	6	of	of	ADP
ijassa-1412	236	7	the	the	DET
ijassa-1412	236	8	training	training	NOUN
ijassa-1412	236	9	and	and	CCONJ
ijassa-1412	236	10	validation	validation	NOUN
ijassa-1412	236	11	process	process	NOUN
ijassa-1412	236	12	.	.	PUNCT
ijassa-1412	237	1	fig	fig	NOUN
ijassa-1412	237	2	.	.	PUNCT
ijassa-1412	238	1	7	7	X
ijassa-1412	238	2	.	.	X
ijassa-1412	238	3	training	training	NOUN
ijassa-1412	238	4	model	model	NOUN
ijassa-1412	238	5	loss	loss	NOUN
ijassa-1412	238	6	and	and	CCONJ
ijassa-1412	238	7	accuracy	accuracy	NOUN
ijassa-1412	238	8	versus	versus	ADP
ijassa-1412	238	9	epoch	epoch	NOUN
ijassa-1412	238	10	(	(	PUNCT
ijassa-1412	238	11	second	second	ADJ
ijassa-1412	238	12	method	method	NOUN
ijassa-1412	238	13	)	)	PUNCT
ijassa-1412	238	14	.	.	PUNCT
ijassa-1412	239	1	5.4	5.4	NUM
ijassa-1412	239	2	.	.	NUM
ijassa-1412	239	3	obtained	obtain	VERB
ijassa-1412	239	4	results	result	NOUN
ijassa-1412	239	5	our	our	PRON
ijassa-1412	239	6	proposed	propose	VERB
ijassa-1412	239	7	custom	custom	NOUN
ijassa-1412	239	8	dcnn	dcnn	PROPN
ijassa-1412	239	9	model	model	PROPN
ijassa-1412	239	10	-	-	PUNCT
ijassa-1412	239	11	based	base	VERB
ijassa-1412	239	12	method	method	NOUN
ijassa-1412	239	13	is	be	AUX
ijassa-1412	239	14	compared	compare	VERB
ijassa-1412	239	15	in	in	ADP
ijassa-1412	239	16	table	table	NOUN
ijassa-1412	239	17	2	2	NUM
ijassa-1412	239	18	with	with	ADP
ijassa-1412	239	19	the	the	DET
ijassa-1412	239	20	method	method	NOUN
ijassa-1412	239	21	proposed	propose	VERB
ijassa-1412	239	22	in	in	ADP
ijassa-1412	239	23	[	[	X
ijassa-1412	239	24	15	15	NUM
ijassa-1412	239	25	]	]	PUNCT
ijassa-1412	239	26	and	and	CCONJ
ijassa-1412	239	27	the	the	DET
ijassa-1412	239	28	second	second	ADJ
ijassa-1412	239	29	method	method	NOUN
ijassa-1412	239	30	based	base	VERB
ijassa-1412	239	31	on	on	ADP
ijassa-1412	239	32	the	the	DET
ijassa-1412	239	33	cnn	cnn	PROPN
ijassa-1412	239	34	used	use	VERB
ijassa-1412	239	35	in	in	ADP
ijassa-1412	239	36	in	in	ADP
ijassa-1412	239	37	[	[	X
ijassa-1412	239	38	16	16	NUM
ijassa-1412	239	39	]	]	PUNCT
ijassa-1412	239	40	.	.	PUNCT
ijassa-1412	240	1	the	the	DET
ijassa-1412	240	2	method	method	NOUN
ijassa-1412	240	3	[	[	X
ijassa-1412	240	4	15	15	NUM
ijassa-1412	240	5	]	]	X
ijassa-1412	240	6	is	be	AUX
ijassa-1412	240	7	the	the	DET
ijassa-1412	240	8	only	only	ADV
ijassa-1412	240	9	published	publish	VERB
ijassa-1412	240	10	method	method	NOUN
ijassa-1412	240	11	that	that	PRON
ijassa-1412	240	12	was	be	AUX
ijassa-1412	240	13	tested	test	VERB
ijassa-1412	240	14	with	with	ADP
ijassa-1412	240	15	the	the	DET
ijassa-1412	240	16	ucsd	ucsd	PROPN
ijassa-1412	240	17	nighttime	nighttime	NOUN
ijassa-1412	240	18	dataset	dataset	NOUN
ijassa-1412	240	19	.	.	PUNCT
ijassa-1412	241	1	the	the	DET
ijassa-1412	241	2	method	method	NOUN
ijassa-1412	241	3	[	[	X
ijassa-1412	241	4	14	14	NUM
ijassa-1412	241	5	]	]	PUNCT
ijassa-1412	241	6	is	be	AUX
ijassa-1412	241	7	not	not	PART
ijassa-1412	241	8	included	include	VERB
ijassa-1412	241	9	in	in	ADP
ijassa-1412	241	10	the	the	DET
ijassa-1412	241	11	comparison	comparison	NOUN
ijassa-1412	241	12	,	,	PUNCT
ijassa-1412	241	13	since	since	SCONJ
ijassa-1412	241	14	only	only	ADJ
ijassa-1412	241	15	accuracy	accuracy	NOUN
ijassa-1412	241	16	results	result	NOUN
ijassa-1412	241	17	with	with	ADP
ijassa-1412	241	18	the	the	DET
ijassa-1412	241	19	daytime	daytime	PROPN
ijassa-1412	241	20	ucsd	ucsd	PROPN
ijassa-1412	241	21	dataset	dataset	PROPN
ijassa-1412	241	22	were	be	AUX
ijassa-1412	241	23	presented	present	VERB
ijassa-1412	241	24	therein	therein	ADV
ijassa-1412	241	25	.	.	PUNCT
ijassa-1412	242	1	from	from	ADP
ijassa-1412	242	2	table	table	NOUN
ijassa-1412	242	3	2	2	NUM
ijassa-1412	242	4	,	,	PUNCT
ijassa-1412	242	5	it	it	PRON
ijassa-1412	242	6	can	can	AUX
ijassa-1412	242	7	be	be	AUX
ijassa-1412	242	8	seen	see	VERB
ijassa-1412	242	9	that	that	SCONJ
ijassa-1412	242	10	with	with	ADP
ijassa-1412	242	11	an	an	DET
ijassa-1412	242	12	outstanding	outstanding	ADJ
ijassa-1412	242	13	accuracy	accuracy	NOUN
ijassa-1412	242	14	of	of	ADP
ijassa-1412	242	15	98.91	98.91	NUM
ijassa-1412	242	16	%	%	NOUN
ijassa-1412	242	17	,	,	PUNCT
ijassa-1412	242	18	our	our	PRON
ijassa-1412	242	19	proposed	propose	VERB
ijassa-1412	242	20	outperforms	outperform	NOUN
ijassa-1412	242	21	the	the	DET
ijassa-1412	242	22	two	two	NUM
ijassa-1412	242	23	other	other	ADJ
ijassa-1412	242	24	methods	method	NOUN
ijassa-1412	242	25	.	.	PUNCT
ijassa-1412	243	1	in	in	ADP
ijassa-1412	243	2	terms	term	NOUN
ijassa-1412	243	3	of	of	ADP
ijassa-1412	243	4	speed	speed	NOUN
ijassa-1412	243	5	,	,	PUNCT
ijassa-1412	243	6	our	our	PRON
ijassa-1412	243	7	method	method	NOUN
ijassa-1412	243	8	is	be	AUX
ijassa-1412	243	9	faster	fast	ADJ
ijassa-1412	243	10	than	than	ADP
ijassa-1412	243	11	the	the	DET
ijassa-1412	243	12	method	method	NOUN
ijassa-1412	243	13	in	in	ADP
ijassa-1412	243	14	[	[	X
ijassa-1412	243	15	15	15	NUM
ijassa-1412	243	16	]	]	PUNCT
ijassa-1412	243	17	but	but	CCONJ
ijassa-1412	243	18	slower	slow	ADJ
ijassa-1412	243	19	than	than	ADP
ijassa-1412	243	20	the	the	DET
ijassa-1412	243	21	method	method	NOUN
ijassa-1412	243	22	in	in	ADP
ijassa-1412	243	23	[	[	X
ijassa-1412	243	24	16	16	NUM
ijassa-1412	243	25	]	]	PUNCT
ijassa-1412	243	26	.	.	PUNCT
ijassa-1412	244	1	sofiane	sofiane	ADJ
ijassa-1412	244	2	abdelkrim	abdelkrim	PROPN
ijassa-1412	244	3	khalladi	khalladi	PROPN
ijassa-1412	244	4	,	,	PUNCT
ijassa-1412	244	5	asmâa	asmâa	PROPN
ijassa-1412	244	6	ouessai	ouessai	PROPN
ijassa-1412	244	7	,	,	PUNCT
ijassa-1412	244	8	mokhtar	mokhtar	PROPN
ijassa-1412	244	9	keche	keche	PROPN
ijassa-1412	244	10	138	138	NUM
ijassa-1412	244	11	copyright	copyright	NOUN
ijassa-1412	244	12	©	©	PROPN
ijassa-1412	244	13	2024	2024	NUM
ijassa-1412	244	14	assa	assa	PROPN
ijassa-1412	244	15	adv	adv	PROPN
ijassa-1412	244	16	.	.	PUNCT
ijassa-1412	245	1	in	in	ADP
ijassa-1412	245	2	systems	system	NOUN
ijassa-1412	245	3	science	science	NOUN
ijassa-1412	245	4	and	and	CCONJ
ijassa-1412	245	5	appl	appl	NOUN
ijassa-1412	245	6	.	.	PUNCT
ijassa-1412	246	1	(	(	PUNCT
ijassa-1412	246	2	2024	2024	NUM
ijassa-1412	246	3	)	)	PUNCT
ijassa-1412	246	4	table	table	NOUN
ijassa-1412	246	5	.	.	PUNCT
ijassa-1412	247	1	2	2	X
ijassa-1412	247	2	.	.	X
ijassa-1412	247	3	comparison	comparison	NOUN
ijassa-1412	247	4	between	between	ADP
ijassa-1412	247	5	the	the	DET
ijassa-1412	247	6	proposed	propose	VERB
ijassa-1412	247	7	method	method	NOUN
ijassa-1412	247	8	and	and	CCONJ
ijassa-1412	247	9	the	the	DET
ijassa-1412	247	10	motion	motion	NOUN
ijassa-1412	247	11	vector	vector	NOUN
ijassa-1412	247	12	method	method	NOUN
ijassa-1412	247	13	.	.	PUNCT
ijassa-1412	248	1	motion	motion	NOUN
ijassa-1412	248	2	vectors	vector	NOUN
ijassa-1412	248	3	method	method	VERB
ijassa-1412	248	4	[	[	X
ijassa-1412	248	5	15	15	NUM
ijassa-1412	248	6	]	]	X
ijassa-1412	248	7	cnn	cnn	NOUN
ijassa-1412	249	1	[	[	X
ijassa-1412	249	2	16	16	NUM
ijassa-1412	249	3	]	]	PUNCT
ijassa-1412	249	4	proposed	propose	VERB
ijassa-1412	249	5	method	method	NOUN
ijassa-1412	249	6	accuracy	accuracy	NOUN
ijassa-1412	249	7	89.47	89.47	NUM
ijassa-1412	249	8	%	%	NOUN
ijassa-1412	249	9	96.18	96.18	NUM
ijassa-1412	249	10	%	%	NOUN
ijassa-1412	249	11	98.91	98.91	NUM
ijassa-1412	249	12	%	%	NOUN
ijassa-1412	249	13	speed	speed	NOUN
ijassa-1412	249	14	127.23	127.23	NUM
ijassa-1412	249	15	sec	sec	PROPN
ijassa-1412	249	16	53	53	NUM
ijassa-1412	249	17	sec	sec	PROPN
ijassa-1412	249	18	95	95	NUM
ijassa-1412	249	19	sec	sec	PROPN
ijassa-1412	249	20	the	the	DET
ijassa-1412	249	21	better	well	ADJ
ijassa-1412	249	22	accuracy	accuracy	NOUN
ijassa-1412	249	23	achieved	achieve	VERB
ijassa-1412	249	24	by	by	ADP
ijassa-1412	249	25	our	our	PRON
ijassa-1412	249	26	proposed	propose	VERB
ijassa-1412	249	27	custom	custom	NOUN
ijassa-1412	249	28	model	model	NOUN
ijassa-1412	249	29	,	,	PUNCT
ijassa-1412	249	30	compared	compare	VERB
ijassa-1412	249	31	to	to	ADP
ijassa-1412	249	32	the	the	DET
ijassa-1412	249	33	model	model	NOUN
ijassa-1412	249	34	proposed	propose	VERB
ijassa-1412	249	35	in	in	ADP
ijassa-1412	249	36	[	[	X
ijassa-1412	249	37	16	16	NUM
ijassa-1412	249	38	]	]	PUNCT
ijassa-1412	249	39	may	may	AUX
ijassa-1412	249	40	be	be	AUX
ijassa-1412	249	41	explained	explain	VERB
ijassa-1412	249	42	by	by	ADP
ijassa-1412	249	43	the	the	DET
ijassa-1412	249	44	fact	fact	NOUN
ijassa-1412	249	45	that	that	SCONJ
ijassa-1412	249	46	our	our	PRON
ijassa-1412	249	47	model	model	NOUN
ijassa-1412	249	48	is	be	AUX
ijassa-1412	249	49	deeper	deep	ADJ
ijassa-1412	249	50	.	.	PUNCT
ijassa-1412	250	1	more	more	ADJ
ijassa-1412	250	2	convolutional	convolutional	ADJ
ijassa-1412	250	3	layers	layer	NOUN
ijassa-1412	250	4	and	and	CCONJ
ijassa-1412	250	5	maxpooling	maxpoole	VERB
ijassa-1412	250	6	layers	layer	NOUN
ijassa-1412	250	7	result	result	VERB
ijassa-1412	250	8	in	in	ADP
ijassa-1412	250	9	a	a	DET
ijassa-1412	250	10	complex	complex	ADJ
ijassa-1412	250	11	architecture	architecture	NOUN
ijassa-1412	250	12	that	that	PRON
ijassa-1412	250	13	allows	allow	VERB
ijassa-1412	250	14	capturing	capture	VERB
ijassa-1412	250	15	and	and	CCONJ
ijassa-1412	250	16	extracting	extract	VERB
ijassa-1412	250	17	more	more	ADV
ijassa-1412	250	18	complex	complex	ADJ
ijassa-1412	250	19	hierarchical	hierarchical	ADJ
ijassa-1412	250	20	features	feature	NOUN
ijassa-1412	250	21	in	in	ADP
ijassa-1412	250	22	the	the	DET
ijassa-1412	250	23	data	datum	NOUN
ijassa-1412	250	24	.	.	PUNCT
ijassa-1412	251	1	on	on	ADP
ijassa-1412	251	2	the	the	DET
ijassa-1412	251	3	other	other	ADJ
ijassa-1412	251	4	hand	hand	NOUN
ijassa-1412	251	5	,	,	PUNCT
ijassa-1412	251	6	deeper	deep	ADJ
ijassa-1412	251	7	layers	layer	NOUN
ijassa-1412	251	8	with	with	ADP
ijassa-1412	251	9	a	a	DET
ijassa-1412	251	10	greater	great	ADJ
ijassa-1412	251	11	number	number	NOUN
ijassa-1412	251	12	of	of	ADP
ijassa-1412	251	13	kernels	kernel	NOUN
ijassa-1412	251	14	enable	enable	VERB
ijassa-1412	251	15	the	the	DET
ijassa-1412	251	16	network	network	NOUN
ijassa-1412	251	17	to	to	PART
ijassa-1412	251	18	grasp	grasp	VERB
ijassa-1412	251	19	higher	high	ADJ
ijassa-1412	251	20	-	-	PUNCT
ijassa-1412	251	21	level	level	NOUN
ijassa-1412	251	22	abstractions	abstraction	NOUN
ijassa-1412	251	23	.	.	PUNCT
ijassa-1412	252	1	for	for	ADP
ijassa-1412	252	2	comparison	comparison	NOUN
ijassa-1412	252	3	,	,	PUNCT
ijassa-1412	252	4	our	our	PRON
ijassa-1412	252	5	model	model	NOUN
ijassa-1412	252	6	uses	use	VERB
ijassa-1412	252	7	64	64	NUM
ijassa-1412	252	8	kernels	kernel	NOUN
ijassa-1412	252	9	per	per	ADP
ijassa-1412	252	10	each	each	DET
ijassa-1412	252	11	layer	layer	NOUN
ijassa-1412	252	12	instead	instead	ADV
ijassa-1412	252	13	,	,	PUNCT
ijassa-1412	252	14	which	which	PRON
ijassa-1412	252	15	is	be	AUX
ijassa-1412	252	16	twice	twice	DET
ijassa-1412	252	17	the	the	DET
ijassa-1412	252	18	number	number	NOUN
ijassa-1412	252	19	of	of	ADP
ijassa-1412	252	20	layers	layer	NOUN
ijassa-1412	252	21	used	use	VERB
ijassa-1412	252	22	in	in	ADP
ijassa-1412	252	23	the	the	DET
ijassa-1412	252	24	model	model	NOUN
ijassa-1412	252	25	of	of	ADP
ijassa-1412	252	26	[	[	X
ijassa-1412	252	27	16	16	NUM
ijassa-1412	252	28	]	]	PUNCT
ijassa-1412	252	29	.	.	PUNCT
ijassa-1412	253	1	moreover	moreover	ADV
ijassa-1412	253	2	,	,	PUNCT
ijassa-1412	253	3	for	for	ADP
ijassa-1412	253	4	a	a	DET
ijassa-1412	253	5	multi	multi	ADJ
ijassa-1412	253	6	-	-	ADJ
ijassa-1412	253	7	class	class	ADJ
ijassa-1412	253	8	classification	classification	NOUN
ijassa-1412	253	9	task	task	NOUN
ijassa-1412	253	10	,	,	PUNCT
ijassa-1412	253	11	softmax	softmax	NOUN
ijassa-1412	253	12	activation	activation	NOUN
ijassa-1412	253	13	in	in	ADP
ijassa-1412	253	14	the	the	DET
ijassa-1412	253	15	last	last	ADJ
ijassa-1412	253	16	layer	layer	NOUN
ijassa-1412	253	17	is	be	AUX
ijassa-1412	253	18	more	more	ADV
ijassa-1412	253	19	appropriate	appropriate	ADJ
ijassa-1412	253	20	and	and	CCONJ
ijassa-1412	253	21	performs	perform	VERB
ijassa-1412	253	22	better	well	ADJ
ijassa-1412	253	23	than	than	ADP
ijassa-1412	253	24	sigmoid	sigmoid	NOUN
ijassa-1412	253	25	activation	activation	NOUN
ijassa-1412	253	26	.	.	PUNCT
ijassa-1412	254	1	the	the	DET
ijassa-1412	254	2	latter	latter	ADJ
ijassa-1412	254	3	generates	generate	VERB
ijassa-1412	254	4	pseudo	pseudo	NOUN
ijassa-1412	254	5	probabilities	probability	NOUN
ijassa-1412	254	6	that	that	PRON
ijassa-1412	254	7	do	do	AUX
ijassa-1412	254	8	not	not	PART
ijassa-1412	254	9	necessarily	necessarily	ADV
ijassa-1412	254	10	sum	sum	VERB
ijassa-1412	254	11	up	up	ADP
ijassa-1412	254	12	to	to	PART
ijassa-1412	254	13	1	1	NUM
ijassa-1412	254	14	.	.	PUNCT
ijassa-1412	255	1	conversely	conversely	ADV
ijassa-1412	255	2	,	,	PUNCT
ijassa-1412	255	3	softmax	softmax	NOUN
ijassa-1412	255	4	guarantees	guarantee	VERB
ijassa-1412	255	5	that	that	SCONJ
ijassa-1412	255	6	the	the	DET
ijassa-1412	255	7	probabilities	probability	NOUN
ijassa-1412	255	8	sum	sum	NOUN
ijassa-1412	255	9	is	be	AUX
ijassa-1412	255	10	1	1	NUM
ijassa-1412	255	11	.	.	PUNCT
ijassa-1412	255	12	for	for	ADP
ijassa-1412	255	13	a	a	DET
ijassa-1412	255	14	further	further	ADJ
ijassa-1412	255	15	comparison	comparison	NOUN
ijassa-1412	255	16	between	between	ADP
ijassa-1412	255	17	the	the	DET
ijassa-1412	255	18	two	two	NUM
ijassa-1412	255	19	methods	method	NOUN
ijassa-1412	255	20	,	,	PUNCT
ijassa-1412	255	21	we	we	PRON
ijassa-1412	255	22	present	present	VERB
ijassa-1412	255	23	in	in	ADP
ijassa-1412	255	24	figures	figure	NOUN
ijassa-1412	255	25	8	8	NUM
ijassa-1412	255	26	and	and	CCONJ
ijassa-1412	255	27	9	9	NUM
ijassa-1412	255	28	the	the	DET
ijassa-1412	255	29	confusion	confusion	NOUN
ijassa-1412	255	30	matrices	matrix	NOUN
ijassa-1412	255	31	of	of	ADP
ijassa-1412	255	32	the	the	DET
ijassa-1412	255	33	congestion	congestion	NOUN
ijassa-1412	255	34	classification	classification	NOUN
ijassa-1412	255	35	obtained	obtain	VERB
ijassa-1412	255	36	with	with	ADP
ijassa-1412	255	37	these	these	DET
ijassa-1412	255	38	two	two	NUM
ijassa-1412	255	39	methods	method	NOUN
ijassa-1412	255	40	.	.	PUNCT
ijassa-1412	256	1	as	as	SCONJ
ijassa-1412	256	2	shown	show	VERB
ijassa-1412	256	3	from	from	ADP
ijassa-1412	256	4	figure	figure	NOUN
ijassa-1412	256	5	8	8	NUM
ijassa-1412	256	6	,	,	PUNCT
ijassa-1412	256	7	there	there	PRON
ijassa-1412	256	8	were	be	VERB
ijassa-1412	256	9	only	only	ADV
ijassa-1412	256	10	3	3	NUM
ijassa-1412	256	11	missclassifications	missclassification	NOUN
ijassa-1412	256	12	by	by	ADP
ijassa-1412	256	13	the	the	DET
ijassa-1412	256	14	first	first	ADJ
ijassa-1412	256	15	method	method	NOUN
ijassa-1412	256	16	,	,	PUNCT
ijassa-1412	256	17	which	which	PRON
ijassa-1412	256	18	occurred	occur	VERB
ijassa-1412	256	19	between	between	ADP
ijassa-1412	256	20	the	the	DET
ijassa-1412	256	21	light	light	NOUN
ijassa-1412	256	22	and	and	CCONJ
ijassa-1412	256	23	the	the	DET
ijassa-1412	256	24	medium	medium	ADJ
ijassa-1412	256	25	neighboring	neighboring	NOUN
ijassa-1412	256	26	classes	class	NOUN
ijassa-1412	256	27	,	,	PUNCT
ijassa-1412	256	28	denoted	denote	VERB
ijassa-1412	256	29	0	0	NUM
ijassa-1412	256	30	and	and	CCONJ
ijassa-1412	256	31	1	1	NUM
ijassa-1412	256	32	,	,	PUNCT
ijassa-1412	256	33	respectively	respectively	ADV
ijassa-1412	256	34	.	.	PUNCT
ijassa-1412	257	1	comparatively	comparatively	ADV
ijassa-1412	257	2	,	,	PUNCT
ijassa-1412	257	3	11	11	NUM
ijassa-1412	257	4	missclassifications	missclassification	NOUN
ijassa-1412	257	5	occurred	occur	VERB
ijassa-1412	257	6	by	by	ADP
ijassa-1412	257	7	the	the	DET
ijassa-1412	257	8	second	second	ADJ
ijassa-1412	257	9	method	method	NOUN
ijassa-1412	257	10	,	,	PUNCT
ijassa-1412	257	11	among	among	ADP
ijassa-1412	257	12	which	which	PRON
ijassa-1412	257	13	8	8	NUM
ijassa-1412	257	14	between	between	ADP
ijassa-1412	257	15	neighboring	neighboring	NOUN
ijassa-1412	257	16	classes	class	NOUN
ijassa-1412	257	17	and	and	CCONJ
ijassa-1412	257	18	3	3	NUM
ijassa-1412	257	19	between	between	ADP
ijassa-1412	257	20	distant	distant	ADJ
ijassa-1412	257	21	classes	class	NOUN
ijassa-1412	257	22	(	(	PUNCT
ijassa-1412	257	23	light	light	NOUN
ijassa-1412	257	24	and	and	CCONJ
ijassa-1412	257	25	heavy	heavy	ADJ
ijassa-1412	257	26	)	)	PUNCT
ijassa-1412	257	27	.	.	PUNCT
ijassa-1412	258	1	fig	fig	NOUN
ijassa-1412	258	2	.	.	PUNCT
ijassa-1412	259	1	8	8	NUM
ijassa-1412	259	2	.	.	PUNCT
ijassa-1412	259	3	confusion	confusion	NOUN
ijassa-1412	259	4	matrix	matrix	NOUN
ijassa-1412	259	5	of	of	ADP
ijassa-1412	259	6	congestion	congestion	NOUN
ijassa-1412	259	7	classification	classification	NOUN
ijassa-1412	259	8	with	with	ADP
ijassa-1412	259	9	the	the	DET
ijassa-1412	259	10	proposed	propose	VERB
ijassa-1412	259	11	method	method	NOUN
ijassa-1412	259	12	,	,	PUNCT
ijassa-1412	259	13	using	use	VERB
ijassa-1412	259	14	the	the	DET
ijassa-1412	259	15	ucsd	ucsd	PROPN
ijassa-1412	259	16	dataset	dataset	PROPN
ijassa-1412	259	17	.	.	PUNCT
ijassa-1412	260	1	sofiane	sofiane	ADJ
ijassa-1412	260	2	abdelkrim	abdelkrim	PROPN
ijassa-1412	260	3	khalladi	khalladi	PROPN
ijassa-1412	260	4	,	,	PUNCT
ijassa-1412	260	5	asmâa	asmâa	PROPN
ijassa-1412	260	6	ouessai	ouessai	PROPN
ijassa-1412	260	7	,	,	PUNCT
ijassa-1412	260	8	mokhtar	mokhtar	PROPN
ijassa-1412	260	9	keche	keche	PROPN
ijassa-1412	260	10	139	139	NUM
ijassa-1412	260	11	copyright	copyright	NOUN
ijassa-1412	260	12	©	©	PROPN
ijassa-1412	260	13	2024	2024	NUM
ijassa-1412	260	14	assa	assa	NOUN
ijassa-1412	260	15	.	.	PUNCT
ijassa-1412	261	1	adv	adv	PROPN
ijassa-1412	261	2	.	.	PUNCT
ijassa-1412	262	1	in	in	ADP
ijassa-1412	262	2	systems	system	NOUN
ijassa-1412	262	3	science	science	NOUN
ijassa-1412	262	4	and	and	CCONJ
ijassa-1412	262	5	appl	appl	NOUN
ijassa-1412	262	6	.	.	PUNCT
ijassa-1412	263	1	(	(	PUNCT
ijassa-1412	263	2	2024	2024	NUM
ijassa-1412	263	3	)	)	PUNCT
ijassa-1412	263	4	fig	fig	NOUN
ijassa-1412	263	5	.	.	PUNCT
ijassa-1412	264	1	9	9	X
ijassa-1412	264	2	.	.	X
ijassa-1412	264	3	confusion	confusion	NOUN
ijassa-1412	264	4	matrix	matrix	NOUN
ijassa-1412	264	5	of	of	ADP
ijassa-1412	264	6	congestion	congestion	NOUN
ijassa-1412	264	7	classification	classification	NOUN
ijassa-1412	264	8	with	with	ADP
ijassa-1412	264	9	the	the	DET
ijassa-1412	264	10	method	method	NOUN
ijassa-1412	264	11	proposed	propose	VERB
ijassa-1412	264	12	in	in	ADP
ijassa-1412	264	13	[	[	X
ijassa-1412	264	14	16	16	NUM
ijassa-1412	264	15	]	]	PUNCT
ijassa-1412	264	16	,	,	PUNCT
ijassa-1412	264	17	using	use	VERB
ijassa-1412	264	18	the	the	DET
ijassa-1412	264	19	ucsd	ucsd	PROPN
ijassa-1412	264	20	dataset	dataset	PROPN
ijassa-1412	264	21	.	.	PUNCT
ijassa-1412	265	1	6	6	X
ijassa-1412	265	2	.	.	X
ijassa-1412	265	3	conclusion	conclusion	NOUN
ijassa-1412	265	4	this	this	DET
ijassa-1412	265	5	research	research	NOUN
ijassa-1412	265	6	proposes	propose	VERB
ijassa-1412	265	7	a	a	DET
ijassa-1412	265	8	novel	novel	ADJ
ijassa-1412	265	9	method	method	NOUN
ijassa-1412	265	10	for	for	ADP
ijassa-1412	265	11	effectively	effectively	ADV
ijassa-1412	265	12	classifying	classify	VERB
ijassa-1412	265	13	traffic	traffic	NOUN
ijassa-1412	265	14	congestion	congestion	NOUN
ijassa-1412	265	15	in	in	ADP
ijassa-1412	265	16	surveillance	surveillance	NOUN
ijassa-1412	265	17	films	film	NOUN
ijassa-1412	265	18	captured	capture	VERB
ijassa-1412	265	19	during	during	ADP
ijassa-1412	265	20	nighttime	nighttime	NOUN
ijassa-1412	265	21	.	.	PUNCT
ijassa-1412	266	1	the	the	DET
ijassa-1412	266	2	proposed	propose	VERB
ijassa-1412	266	3	method	method	NOUN
ijassa-1412	266	4	employs	employ	VERB
ijassa-1412	266	5	a	a	DET
ijassa-1412	266	6	deep	deep	ADV
ijassa-1412	266	7	-	-	PUNCT
ijassa-1412	266	8	learning	learn	VERB
ijassa-1412	266	9	neural	neural	ADJ
ijassa-1412	266	10	network	network	NOUN
ijassa-1412	266	11	,	,	PUNCT
ijassa-1412	266	12	which	which	PRON
ijassa-1412	266	13	enables	enable	VERB
ijassa-1412	266	14	accurate	accurate	ADJ
ijassa-1412	266	15	identification	identification	NOUN
ijassa-1412	266	16	of	of	ADP
ijassa-1412	266	17	traffic	traffic	NOUN
ijassa-1412	266	18	congestion	congestion	NOUN
ijassa-1412	266	19	status	status	NOUN
ijassa-1412	266	20	under	under	ADP
ijassa-1412	266	21	various	various	ADJ
ijassa-1412	266	22	weather	weather	NOUN
ijassa-1412	266	23	conditions	condition	NOUN
ijassa-1412	266	24	.	.	PUNCT
ijassa-1412	267	1	the	the	DET
ijassa-1412	267	2	outcome	outcome	NOUN
ijassa-1412	267	3	of	of	ADP
ijassa-1412	267	4	the	the	DET
ijassa-1412	267	5	performance	performance	NOUN
ijassa-1412	267	6	assessment	assessment	NOUN
ijassa-1412	267	7	of	of	ADP
ijassa-1412	267	8	this	this	DET
ijassa-1412	267	9	method	method	NOUN
ijassa-1412	267	10	using	use	VERB
ijassa-1412	267	11	the	the	DET
ijassa-1412	267	12	ucsd	ucsd	PROPN
ijassa-1412	267	13	nighttime	nighttime	NOUN
ijassa-1412	267	14	dataset	dataset	NOUN
ijassa-1412	267	15	is	be	AUX
ijassa-1412	267	16	an	an	DET
ijassa-1412	267	17	outstanding	outstanding	ADJ
ijassa-1412	267	18	classification	classification	NOUN
ijassa-1412	267	19	accuracy	accuracy	NOUN
ijassa-1412	267	20	of	of	ADP
ijassa-1412	267	21	98.91	98.91	NUM
ijassa-1412	267	22	%	%	NOUN
ijassa-1412	267	23	,	,	PUNCT
ijassa-1412	267	24	which	which	PRON
ijassa-1412	267	25	surpasses	surpass	VERB
ijassa-1412	267	26	the	the	DET
ijassa-1412	267	27	previously	previously	ADV
ijassa-1412	267	28	known	know	VERB
ijassa-1412	267	29	highest	high	ADJ
ijassa-1412	267	30	accuracy	accuracy	NOUN
ijassa-1412	267	31	of	of	ADP
ijassa-1412	267	32	89.47	89.47	NUM
ijassa-1412	267	33	%	%	NOUN
ijassa-1412	267	34	achieved	achieve	VERB
ijassa-1412	267	35	by	by	ADP
ijassa-1412	267	36	the	the	DET
ijassa-1412	267	37	method	method	NOUN
ijassa-1412	267	38	presented	present	VERB
ijassa-1412	267	39	in	in	ADP
ijassa-1412	267	40	[	[	X
ijassa-1412	267	41	15	15	NUM
ijassa-1412	267	42	]	]	PUNCT
ijassa-1412	267	43	that	that	PRON
ijassa-1412	267	44	also	also	ADV
ijassa-1412	267	45	utilized	utilize	VERB
ijassa-1412	267	46	the	the	DET
ijassa-1412	267	47	same	same	ADJ
ijassa-1412	267	48	dataset	dataset	NOUN
ijassa-1412	267	49	.	.	PUNCT
ijassa-1412	268	1	furthermore	furthermore	ADV
ijassa-1412	268	2	,	,	PUNCT
ijassa-1412	268	3	our	our	PRON
ijassa-1412	268	4	approach	approach	NOUN
ijassa-1412	268	5	outperforms	outperform	NOUN
ijassa-1412	268	6	,	,	PUNCT
ijassa-1412	268	7	in	in	ADP
ijassa-1412	268	8	terms	term	NOUN
ijassa-1412	268	9	of	of	ADP
ijassa-1412	268	10	accuracy	accuracy	NOUN
ijassa-1412	268	11	,	,	PUNCT
ijassa-1412	268	12	the	the	DET
ijassa-1412	268	13	method	method	NOUN
ijassa-1412	268	14	based	base	VERB
ijassa-1412	268	15	on	on	ADP
ijassa-1412	268	16	the	the	DET
ijassa-1412	268	17	cnn	cnn	PROPN
ijassa-1412	268	18	proposed	propose	VERB
ijassa-1412	268	19	in	in	ADP
ijassa-1412	268	20	[	[	X
ijassa-1412	268	21	16	16	NUM
ijassa-1412	268	22	]	]	PUNCT
ijassa-1412	268	23	,	,	PUNCT
ijassa-1412	268	24	trained	train	VERB
ijassa-1412	268	25	and	and	CCONJ
ijassa-1412	268	26	tested	test	VERB
ijassa-1412	268	27	by	by	ADP
ijassa-1412	268	28	the	the	DET
ijassa-1412	268	29	same	same	ADJ
ijassa-1412	268	30	ucsd	ucsd	PROPN
ijassa-1412	268	31	nighttime	nighttime	NOUN
ijassa-1412	268	32	dataset	dataset	NOUN
ijassa-1412	268	33	.	.	PUNCT
ijassa-1412	269	1	incorporation	incorporation	NOUN
ijassa-1412	269	2	this	this	DET
ijassa-1412	269	3	method	method	NOUN
ijassa-1412	269	4	into	into	ADP
ijassa-1412	269	5	a	a	DET
ijassa-1412	269	6	traffic	traffic	NOUN
ijassa-1412	269	7	monitoring	monitoring	NOUN
ijassa-1412	269	8	system	system	NOUN
ijassa-1412	269	9	may	may	AUX
ijassa-1412	269	10	help	help	VERB
ijassa-1412	269	11	to	to	PART
ijassa-1412	269	12	assist	assist	VERB
ijassa-1412	269	13	drivers	driver	NOUN
ijassa-1412	269	14	in	in	ADP
ijassa-1412	269	15	avoiding	avoid	VERB
ijassa-1412	269	16	traffic	traffic	NOUN
ijassa-1412	269	17	congestion	congestion	NOUN
ijassa-1412	269	18	and	and	CCONJ
ijassa-1412	269	19	reaping	reap	VERB
ijassa-1412	269	20	the	the	DET
ijassa-1412	269	21	associated	associated	ADJ
ijassa-1412	269	22	benefits	benefit	NOUN
ijassa-1412	269	23	.	.	PUNCT
ijassa-1412	270	1	in	in	ADP
ijassa-1412	270	2	our	our	PRON
ijassa-1412	270	3	future	future	ADJ
ijassa-1412	270	4	work	work	NOUN
ijassa-1412	270	5	,	,	PUNCT
ijassa-1412	270	6	we	we	PRON
ijassa-1412	270	7	plan	plan	VERB
ijassa-1412	270	8	to	to	PART
ijassa-1412	270	9	further	far	ADV
ijassa-1412	270	10	enhance	enhance	VERB
ijassa-1412	270	11	our	our	PRON
ijassa-1412	270	12	model	model	NOUN
ijassa-1412	270	13	's	's	PART
ijassa-1412	270	14	classification	classification	NOUN
ijassa-1412	270	15	accuracy	accuracy	NOUN
ijassa-1412	270	16	by	by	ADP
ijassa-1412	270	17	refining	refine	VERB
ijassa-1412	270	18	the	the	DET
ijassa-1412	270	19	architecture	architecture	NOUN
ijassa-1412	270	20	of	of	ADP
ijassa-1412	270	21	the	the	DET
ijassa-1412	270	22	convolutional	convolutional	ADJ
ijassa-1412	270	23	neural	neural	ADJ
ijassa-1412	270	24	network	network	NOUN
ijassa-1412	270	25	.	.	PUNCT
ijassa-1412	271	1	acknowledgements	acknowledgement	NOUN
ijassa-1412	271	2	the	the	DET
ijassa-1412	271	3	authors	author	NOUN
ijassa-1412	271	4	would	would	AUX
ijassa-1412	271	5	like	like	VERB
ijassa-1412	271	6	to	to	PART
ijassa-1412	271	7	thank	thank	VERB
ijassa-1412	271	8	dr	dr	PROPN
ijassa-1412	271	9	.	.	PROPN
ijassa-1412	271	10	antoni	antoni	PROPN
ijassa-1412	271	11	.	.	PUNCT
ijassa-1412	272	1	b.	b.	PROPN
ijassa-1412	272	2	chan	chan	PROPN
ijassa-1412	272	3	from	from	ADP
ijassa-1412	272	4	the	the	DET
ijassa-1412	272	5	city	city	NOUN
ijassa-1412	272	6	university	university	PROPN
ijassa-1412	272	7	of	of	ADP
ijassa-1412	272	8	hong	hong	PROPN
ijassa-1412	272	9	kong	kong	PROPN
ijassa-1412	272	10	for	for	ADP
ijassa-1412	272	11	providing	provide	VERB
ijassa-1412	272	12	the	the	DET
ijassa-1412	272	13	ucsd	ucsd	PROPN
ijassa-1412	272	14	night	night	PROPN
ijassa-1412	272	15	-	-	PUNCT
ijassa-1412	272	16	time	time	NOUN
ijassa-1412	272	17	video	video	NOUN
ijassa-1412	272	18	traffic	traffic	NOUN
ijassa-1412	272	19	dataset	dataset	NOUN
ijassa-1412	272	20	.	.	PUNCT
ijassa-1412	273	1	references	reference	NOUN
ijassa-1412	273	2	1	1	NUM
ijassa-1412	273	3	.	.	PUNCT
ijassa-1412	274	1	papageorgiou	papageorgiou	NOUN
ijassa-1412	274	2	,	,	PUNCT
ijassa-1412	274	3	m.	m.	NOUN
ijassa-1412	274	4	,	,	PUNCT
ijassa-1412	274	5	diakaki	diakaki	PROPN
ijassa-1412	274	6	,	,	PUNCT
ijassa-1412	274	7	c.	c.	PROPN
ijassa-1412	274	8	,	,	PUNCT
ijassa-1412	274	9	dinopoulou	dinopoulou	PROPN
ijassa-1412	274	10	,	,	PUNCT
ijassa-1412	274	11	v.	v.	ADV
ijassa-1412	274	12	,	,	PUNCT
ijassa-1412	274	13	kotsialos	kotsialo	NOUN
ijassa-1412	274	14	,	,	PUNCT
ijassa-1412	274	15	a.	a.	PROPN
ijassa-1412	274	16	&	&	CCONJ
ijassa-1412	274	17	wang	wang	PROPN
ijassa-1412	274	18	,	,	PUNCT
ijassa-1412	274	19	y.	y.	PROPN
ijassa-1412	274	20	(	(	PUNCT
ijassa-1412	274	21	2003	2003	NUM
ijassa-1412	274	22	)	)	PUNCT
ijassa-1412	274	23	.	.	PUNCT
ijassa-1412	275	1	review	review	NOUN
ijassa-1412	275	2	of	of	ADP
ijassa-1412	275	3	road	road	NOUN
ijassa-1412	275	4	traffic	traffic	NOUN
ijassa-1412	275	5	control	control	NOUN
ijassa-1412	275	6	strategies	strategy	NOUN
ijassa-1412	275	7	,	,	PUNCT
ijassa-1412	275	8	proceedings	proceeding	NOUN
ijassa-1412	275	9	of	of	ADP
ijassa-1412	275	10	the	the	DET
ijassa-1412	275	11	ieee	ieee	NOUN
ijassa-1412	275	12	,	,	PUNCT
ijassa-1412	275	13	91(12	91(12	NUM
ijassa-1412	275	14	)	)	PUNCT
ijassa-1412	275	15	,	,	PUNCT
ijassa-1412	275	16	2043–2067	2043–2067	NUM
ijassa-1412	275	17	,	,	PUNCT
ijassa-1412	275	18	https://doi.org/10.1109/jproc.2003.819610	https://doi.org/10.1109/jproc.2003.819610	PROPN
ijassa-1412	275	19	2	2	NUM
ijassa-1412	275	20	.	.	PUNCT
ijassa-1412	275	21	asmaa	asmaa	PROPN
ijassa-1412	275	22	,	,	PUNCT
ijassa-1412	275	23	o.	o.	PROPN
ijassa-1412	275	24	,	,	PUNCT
ijassa-1412	275	25	mokhtar	mokhtar	PROPN
ijassa-1412	275	26	,	,	PUNCT
ijassa-1412	275	27	k.	k.	PROPN
ijassa-1412	275	28	&	&	CCONJ
ijassa-1412	275	29	abdelaziz	abdelaziz	PROPN
ijassa-1412	275	30	,	,	PUNCT
ijassa-1412	275	31	o.	o.	PROPN
ijassa-1412	275	32	(	(	PUNCT
ijassa-1412	275	33	2013	2013	NUM
ijassa-1412	275	34	)	)	PUNCT
ijassa-1412	275	35	.	.	PUNCT
ijassa-1412	276	1	road	road	NOUN
ijassa-1412	276	2	traffic	traffic	NOUN
ijassa-1412	276	3	density	density	NOUN
ijassa-1412	276	4	estimation	estimation	NOUN
ijassa-1412	276	5	using	use	VERB
ijassa-1412	276	6	microscopic	microscopic	ADJ
ijassa-1412	276	7	and	and	CCONJ
ijassa-1412	276	8	macroscopic	macroscopic	ADJ
ijassa-1412	276	9	parameters	parameter	NOUN
ijassa-1412	276	10	,	,	PUNCT
ijassa-1412	276	11	image	image	NOUN
ijassa-1412	276	12	and	and	CCONJ
ijassa-1412	276	13	vision	vision	NOUN
ijassa-1412	276	14	computing	computing	NOUN
ijassa-1412	276	15	,	,	PUNCT
ijassa-1412	276	16	31(11	31(11	NUM
ijassa-1412	276	17	)	)	PUNCT
ijassa-1412	276	18	,	,	PUNCT
ijassa-1412	276	19	887–894	887–894	NUM
ijassa-1412	276	20	,	,	PUNCT
ijassa-1412	276	21	https://doi.org/10.1016/j.imavis.2013.09.006	https://doi.org/10.1016/j.imavis.2013.09.006	NUM
ijassa-1412	276	22	sofiane	sofiane	ADJ
ijassa-1412	276	23	abdelkrim	abdelkrim	PROPN
ijassa-1412	276	24	khalladi	khalladi	PROPN
ijassa-1412	276	25	,	,	PUNCT
ijassa-1412	276	26	asmâa	asmâa	PROPN
ijassa-1412	276	27	ouessai	ouessai	PROPN
ijassa-1412	276	28	,	,	PUNCT
ijassa-1412	276	29	mokhtar	mokhtar	PROPN
ijassa-1412	276	30	keche	keche	NOUN
ijassa-1412	276	31	140	140	NUM
ijassa-1412	276	32	copyright	copyright	NOUN
ijassa-1412	276	33	©	©	PROPN
ijassa-1412	276	34	2024	2024	NUM
ijassa-1412	276	35	assa	assa	PROPN
ijassa-1412	276	36	adv	adv	PROPN
ijassa-1412	276	37	.	.	PUNCT
ijassa-1412	277	1	in	in	ADP
ijassa-1412	277	2	systems	system	NOUN
ijassa-1412	277	3	science	science	NOUN
ijassa-1412	277	4	and	and	CCONJ
ijassa-1412	277	5	appl	appl	NOUN
ijassa-1412	277	6	.	.	PUNCT
ijassa-1412	278	1	(	(	PUNCT
ijassa-1412	278	2	2024	2024	NUM
ijassa-1412	278	3	)	)	PUNCT
ijassa-1412	278	4	3	3	NUM
ijassa-1412	278	5	.	.	X
ijassa-1412	278	6	asmaa	asmaa	PROPN
ijassa-1412	278	7	,	,	PUNCT
ijassa-1412	278	8	o.	o.	PROPN
ijassa-1412	278	9	,	,	PUNCT
ijassa-1412	278	10	mokhtar	mokhtar	PROPN
ijassa-1412	278	11	,	,	PUNCT
ijassa-1412	278	12	k.	k.	PROPN
ijassa-1412	278	13	&	&	CCONJ
ijassa-1412	278	14	abdelaziz	abdelaziz	PROPN
ijassa-1412	278	15	,	,	PUNCT
ijassa-1412	278	16	o.	o.	PROPN
ijassa-1412	278	17	(	(	PUNCT
ijassa-1412	278	18	2013	2013	NUM
ijassa-1412	278	19	,	,	PUNCT
ijassa-1412	278	20	april	april	PROPN
ijassa-1412	278	21	)	)	PUNCT
ijassa-1412	278	22	.	.	PUNCT
ijassa-1412	279	1	road	road	NOUN
ijassa-1412	279	2	traffic	traffic	NOUN
ijassa-1412	279	3	congestion	congestion	NOUN
ijassa-1412	279	4	estimation	estimation	NOUN
ijassa-1412	279	5	with	with	ADP
ijassa-1412	279	6	macroscopic	macroscopic	ADJ
ijassa-1412	279	7	parameters	parameter	NOUN
ijassa-1412	279	8	,	,	PUNCT
ijassa-1412	279	9	proc	proc	NOUN
ijassa-1412	279	10	.	.	PUNCT
ijassa-1412	279	11	of	of	ADP
ijassa-1412	279	12	2013	2013	NUM
ijassa-1412	279	13	11th	11th	ADJ
ijassa-1412	279	14	international	international	ADJ
ijassa-1412	279	15	symposium	symposium	NOUN
ijassa-1412	279	16	on	on	ADP
ijassa-1412	279	17	programming	programming	NOUN
ijassa-1412	279	18	and	and	CCONJ
ijassa-1412	279	19	systems	system	NOUN
ijassa-1412	279	20	(	(	PUNCT
ijassa-1412	279	21	isps	isps	NOUN
ijassa-1412	279	22	)	)	PUNCT
ijassa-1412	279	23	(	(	PUNCT
ijassa-1412	279	24	usthb	usthb	ADJ
ijassa-1412	279	25	,	,	PUNCT
ijassa-1412	279	26	algeria	algeria	PROPN
ijassa-1412	279	27	)	)	PUNCT
ijassa-1412	279	28	,	,	PUNCT
ijassa-1412	279	29	24–29	24–29	NUM
ijassa-1412	279	30	.	.	NOUN
ijassa-1412	280	1	4	4	NUM
ijassa-1412	280	2	.	.	X
ijassa-1412	280	3	hsia	hsia	PROPN
ijassa-1412	280	4	,	,	PUNCT
ijassa-1412	280	5	c.	c.	PROPN
ijassa-1412	280	6	h.	h.	PROPN
ijassa-1412	280	7	,	,	PUNCT
ijassa-1412	280	8	kong	kong	PROPN
ijassa-1412	280	9	,	,	PUNCT
ijassa-1412	280	10	y.	y.	PROPN
ijassa-1412	280	11	,	,	PUNCT
ijassa-1412	280	12	lin	lin	PROPN
ijassa-1412	280	13	,	,	PUNCT
ijassa-1412	280	14	y.	y.	PROPN
ijassa-1412	280	15	k.	k.	PROPN
ijassa-1412	280	16	&	&	CCONJ
ijassa-1412	280	17	chien	chien	PROPN
ijassa-1412	280	18	,	,	PUNCT
ijassa-1412	280	19	y.	y.	PROPN
ijassa-1412	280	20	r.	r.	PROPN
ijassa-1412	280	21	(	(	PUNCT
ijassa-1412	280	22	2017	2017	NUM
ijassa-1412	280	23	,	,	PUNCT
ijassa-1412	280	24	june	june	PROPN
ijassa-1412	280	25	)	)	PUNCT
ijassa-1412	280	26	.	.	PUNCT
ijassa-1412	281	1	real	real	ADJ
ijassa-1412	281	2	-	-	PUNCT
ijassa-1412	281	3	time	time	NOUN
ijassa-1412	281	4	vision	vision	NOUN
ijassa-1412	281	5	system	system	NOUN
ijassa-1412	281	6	for	for	ADP
ijassa-1412	281	7	nighttime	nighttime	ADJ
ijassa-1412	281	8	vehicle	vehicle	NOUN
ijassa-1412	281	9	detection	detection	NOUN
ijassa-1412	281	10	,	,	PUNCT
ijassa-1412	281	11	proc	proc	NOUN
ijassa-1412	281	12	.	.	PUNCT
ijassa-1412	282	1	of	of	ADP
ijassa-1412	282	2	2017	2017	NUM
ijassa-1412	282	3	ieee	ieee	NOUN
ijassa-1412	282	4	international	international	ADJ
ijassa-1412	282	5	conference	conference	NOUN
ijassa-1412	282	6	on	on	ADP
ijassa-1412	282	7	consumer	consumer	NOUN
ijassa-1412	282	8	electronics	electronic	NOUN
ijassa-1412	282	9	-	-	PUNCT
ijassa-1412	282	10	taiwan	taiwan	PROPN
ijassa-1412	282	11	(	(	PUNCT
ijassa-1412	282	12	icce	icce	NOUN
ijassa-1412	282	13	-	-	PUNCT
ijassa-1412	282	14	tw	tw	NOUN
ijassa-1412	282	15	)	)	PUNCT
ijassa-1412	282	16	(	(	PUNCT
ijassa-1412	282	17	taiwan	taiwan	PROPN
ijassa-1412	282	18	,	,	PUNCT
ijassa-1412	282	19	china	china	PROPN
ijassa-1412	282	20	)	)	PUNCT
ijassa-1412	282	21	,	,	PUNCT
ijassa-1412	282	22	301–302	301–302	NUM
ijassa-1412	282	23	.	.	PUNCT
ijassa-1412	282	24	5	5	NUM
ijassa-1412	282	25	.	.	X
ijassa-1412	282	26	sevekar	sevekar	NOUN
ijassa-1412	282	27	,	,	PUNCT
ijassa-1412	282	28	p.	p.	PROPN
ijassa-1412	282	29	&	&	CCONJ
ijassa-1412	282	30	dhonde	dhonde	PROPN
ijassa-1412	282	31	,	,	PUNCT
ijassa-1412	282	32	s.	s.	PROPN
ijassa-1412	282	33	b.	b.	PROPN
ijassa-1412	283	1	(	(	PUNCT
ijassa-1412	283	2	2017	2017	NUM
ijassa-1412	283	3	)	)	PUNCT
ijassa-1412	283	4	.	.	PUNCT
ijassa-1412	284	1	night	night	NOUN
ijassa-1412	284	2	-	-	PUNCT
ijassa-1412	284	3	time	time	NOUN
ijassa-1412	284	4	vehicle	vehicle	NOUN
ijassa-1412	284	5	detection	detection	NOUN
ijassa-1412	284	6	for	for	ADP
ijassa-1412	284	7	automatic	automatic	ADJ
ijassa-1412	284	8	headlight	headlight	NOUN
ijassa-1412	284	9	beam	beam	NOUN
ijassa-1412	284	10	control	control	PROPN
ijassa-1412	284	11	,	,	PUNCT
ijassa-1412	284	12	international	international	ADJ
ijassa-1412	284	13	journal	journal	NOUN
ijassa-1412	284	14	of	of	ADP
ijassa-1412	284	15	computer	computer	NOUN
ijassa-1412	284	16	applications	application	NOUN
ijassa-1412	284	17	,	,	PUNCT
ijassa-1412	284	18	157(7	157(7	NUM
ijassa-1412	284	19	)	)	PUNCT
ijassa-1412	284	20	,	,	PUNCT
ijassa-1412	284	21	8–12	8–12	PROPN
ijassa-1412	284	22	,	,	PUNCT
ijassa-1412	284	23	https://doi.org/10.5120/ijca2017912737	https://doi.org/10.5120/ijca2017912737	NOUN
ijassa-1412	284	24	6	6	NUM
ijassa-1412	284	25	.	.	PUNCT
ijassa-1412	285	1	chen	chen	PROPN
ijassa-1412	285	2	,	,	PUNCT
ijassa-1412	285	3	y.	y.	PROPN
ijassa-1412	285	4	l.	l.	PROPN
ijassa-1412	285	5	,	,	PUNCT
ijassa-1412	285	6	wu	wu	PROPN
ijassa-1412	285	7	,	,	PUNCT
ijassa-1412	285	8	b.	b.	PROPN
ijassa-1412	285	9	f.	f.	PROPN
ijassa-1412	285	10	,	,	PUNCT
ijassa-1412	285	11	huang	huang	PROPN
ijassa-1412	285	12	,	,	PUNCT
ijassa-1412	285	13	h.	h.	PROPN
ijassa-1412	285	14	y.	y.	PROPN
ijassa-1412	285	15	&	&	CCONJ
ijassa-1412	285	16	fan	fan	PROPN
ijassa-1412	285	17	,	,	PUNCT
ijassa-1412	285	18	c.	c.	PROPN
ijassa-1412	285	19	j.	j.	PROPN
ijassa-1412	285	20	(	(	PUNCT
ijassa-1412	285	21	2010	2010	NUM
ijassa-1412	285	22	)	)	PUNCT
ijassa-1412	285	23	.	.	PUNCT
ijassa-1412	286	1	a	a	DET
ijassa-1412	286	2	real	real	ADJ
ijassa-1412	286	3	-	-	PUNCT
ijassa-1412	286	4	time	time	NOUN
ijassa-1412	286	5	vision	vision	NOUN
ijassa-1412	286	6	system	system	NOUN
ijassa-1412	286	7	for	for	ADP
ijassa-1412	286	8	nighttime	nighttime	ADJ
ijassa-1412	286	9	vehicle	vehicle	NOUN
ijassa-1412	286	10	detection	detection	NOUN
ijassa-1412	286	11	and	and	CCONJ
ijassa-1412	286	12	traffic	traffic	NOUN
ijassa-1412	286	13	surveillance	surveillance	NOUN
ijassa-1412	286	14	,	,	PUNCT
ijassa-1412	286	15	ieee	ieee	NOUN
ijassa-1412	286	16	transactions	transaction	NOUN
ijassa-1412	286	17	on	on	ADP
ijassa-1412	286	18	industrial	industrial	ADJ
ijassa-1412	286	19	electronics	electronic	NOUN
ijassa-1412	286	20	,	,	PUNCT
ijassa-1412	286	21	58(5	58(5	NUM
ijassa-1412	286	22	)	)	PUNCT
ijassa-1412	286	23	,	,	PUNCT
ijassa-1412	286	24	2030	2030	NUM
ijassa-1412	286	25	–	–	PUNCT
ijassa-1412	286	26	2044	2044	NUM
ijassa-1412	286	27	,	,	PUNCT
ijassa-1412	286	28	https://doi.org/10.1109/tie.2010.2055771	https://doi.org/10.1109/tie.2010.2055771	ADJ
ijassa-1412	286	29	7	7	NUM
ijassa-1412	286	30	.	.	PUNCT
ijassa-1412	286	31	dodge	dodge	PROPN
ijassa-1412	286	32	,	,	PUNCT
ijassa-1412	286	33	d.	d.	PROPN
ijassa-1412	286	34	&	&	CCONJ
ijassa-1412	286	35	yilmaz	yilmaz	PROPN
ijassa-1412	286	36	,	,	PUNCT
ijassa-1412	286	37	m.	m.	NOUN
ijassa-1412	286	38	(	(	PUNCT
ijassa-1412	286	39	2022	2022	NUM
ijassa-1412	286	40	)	)	PUNCT
ijassa-1412	286	41	.	.	PUNCT
ijassa-1412	287	1	convex	convex	VERB
ijassa-1412	287	2	vision	vision	NOUN
ijassa-1412	287	3	-	-	PUNCT
ijassa-1412	287	4	based	base	VERB
ijassa-1412	287	5	negative	negative	ADJ
ijassa-1412	287	6	obstacle	obstacle	NOUN
ijassa-1412	287	7	detection	detection	NOUN
ijassa-1412	287	8	framework	framework	NOUN
ijassa-1412	287	9	for	for	ADP
ijassa-1412	287	10	autonomous	autonomous	ADJ
ijassa-1412	287	11	vehicles	vehicle	NOUN
ijassa-1412	287	12	,	,	PUNCT
ijassa-1412	287	13	ieee	ieee	NOUN
ijassa-1412	287	14	transactions	transaction	NOUN
ijassa-1412	287	15	on	on	ADP
ijassa-1412	287	16	intelligent	intelligent	ADJ
ijassa-1412	287	17	vehicles	vehicle	NOUN
ijassa-1412	287	18	,	,	PUNCT
ijassa-1412	287	19	8(1	8(1	NOUN
ijassa-1412	287	20	)	)	PUNCT
ijassa-1412	287	21	,	,	PUNCT
ijassa-1412	287	22	778–789	778–789	NUM
ijassa-1412	287	23	,	,	PUNCT
ijassa-1412	287	24	https://doi.org/10.1109/tiv.2022.3146877	https://doi.org/10.1109/tiv.2022.3146877	NOUN
ijassa-1412	287	25	8	8	NUM
ijassa-1412	287	26	.	.	PUNCT
ijassa-1412	287	27	sayed	say	VERB
ijassa-1412	287	28	,	,	PUNCT
ijassa-1412	287	29	m.	m.	PROPN
ijassa-1412	287	30	s.	s.	PROPN
ijassa-1412	287	31	&	&	CCONJ
ijassa-1412	287	32	delva	delva	PROPN
ijassa-1412	287	33	,	,	PUNCT
ijassa-1412	287	34	j.	j.	PROPN
ijassa-1412	287	35	(	(	PUNCT
ijassa-1412	287	36	2010	2010	NUM
ijassa-1412	287	37	,	,	PUNCT
ijassa-1412	287	38	november	november	PROPN
ijassa-1412	287	39	)	)	PUNCT
ijassa-1412	287	40	.	.	PUNCT
ijassa-1412	288	1	low	low	ADJ
ijassa-1412	288	2	complexity	complexity	PROPN
ijassa-1412	288	3	contrast	contrast	NOUN
ijassa-1412	288	4	enhancement	enhancement	NOUN
ijassa-1412	288	5	algorithm	algorithm	NOUN
ijassa-1412	288	6	for	for	ADP
ijassa-1412	288	7	nighttime	nighttime	ADJ
ijassa-1412	288	8	visual	visual	ADJ
ijassa-1412	288	9	surveillance	surveillance	NOUN
ijassa-1412	288	10	,	,	PUNCT
ijassa-1412	288	11	proc	proc	NOUN
ijassa-1412	288	12	.	.	PUNCT
ijassa-1412	289	1	of	of	ADP
ijassa-1412	289	2	2010	2010	NUM
ijassa-1412	289	3	10th	10th	ADJ
ijassa-1412	289	4	international	international	ADJ
ijassa-1412	289	5	conference	conference	NOUN
ijassa-1412	289	6	on	on	ADP
ijassa-1412	289	7	intelligent	intelligent	ADJ
ijassa-1412	289	8	systems	system	NOUN
ijassa-1412	289	9	design	design	NOUN
ijassa-1412	289	10	and	and	CCONJ
ijassa-1412	289	11	applications	application	NOUN
ijassa-1412	289	12	(	(	PUNCT
ijassa-1412	289	13	cairo	cairo	PROPN
ijassa-1412	289	14	,	,	PUNCT
ijassa-1412	289	15	egypt	egypt	PROPN
ijassa-1412	289	16	)	)	PUNCT
ijassa-1412	289	17	,	,	PUNCT
ijassa-1412	289	18	835–838	835–838	NUM
ijassa-1412	289	19	,	,	PUNCT
ijassa-1412	289	20	https://doi.org/10.1109/isda.2010.5687158	https://doi.org/10.1109/isda.2010.5687158	PROPN
ijassa-1412	289	21	9	9	NUM
ijassa-1412	289	22	.	.	PUNCT
ijassa-1412	289	23	cai	cai	X
ijassa-1412	289	24	,	,	PUNCT
ijassa-1412	289	25	y.	y.	PROPN
ijassa-1412	289	26	,	,	PUNCT
ijassa-1412	289	27	huang	huang	PROPN
ijassa-1412	289	28	,	,	PUNCT
ijassa-1412	289	29	k.	k.	PROPN
ijassa-1412	289	30	,	,	PUNCT
ijassa-1412	289	31	tan	tan	PROPN
ijassa-1412	289	32	,	,	PUNCT
ijassa-1412	289	33	t.	t.	PROPN
ijassa-1412	289	34	&	&	CCONJ
ijassa-1412	289	35	wang	wang	PROPN
ijassa-1412	289	36	,	,	PUNCT
ijassa-1412	289	37	y.	y.	PROPN
ijassa-1412	289	38	(	(	PUNCT
ijassa-1412	289	39	2006	2006	NUM
ijassa-1412	289	40	,	,	PUNCT
ijassa-1412	289	41	august	august	PROPN
ijassa-1412	289	42	)	)	PUNCT
ijassa-1412	289	43	.	.	PUNCT
ijassa-1412	290	1	context	context	NOUN
ijassa-1412	290	2	enhancement	enhancement	NOUN
ijassa-1412	290	3	of	of	ADP
ijassa-1412	290	4	nighttime	nighttime	ADJ
ijassa-1412	290	5	surveillance	surveillance	NOUN
ijassa-1412	290	6	by	by	ADP
ijassa-1412	290	7	image	image	NOUN
ijassa-1412	290	8	fusion	fusion	NOUN
ijassa-1412	290	9	.	.	PUNCT
ijassa-1412	291	1	proc	proc	NOUN
ijassa-1412	291	2	.	.	PUNCT
ijassa-1412	292	1	of	of	ADP
ijassa-1412	292	2	18th	18th	ADJ
ijassa-1412	292	3	international	international	ADJ
ijassa-1412	292	4	conference	conference	NOUN
ijassa-1412	292	5	on	on	ADP
ijassa-1412	292	6	pattern	pattern	NOUN
ijassa-1412	292	7	recognition	recognition	NOUN
ijassa-1412	292	8	(	(	PUNCT
ijassa-1412	292	9	icpr'06	icpr'06	PROPN
ijassa-1412	292	10	)	)	PUNCT
ijassa-1412	292	11	(	(	PUNCT
ijassa-1412	292	12	hong	hong	PROPN
ijassa-1412	292	13	kong	kong	PROPN
ijassa-1412	292	14	)	)	PUNCT
ijassa-1412	292	15	,	,	PUNCT
ijassa-1412	292	16	980–983	980–983	NUM
ijassa-1412	292	17	.	.	PUNCT
ijassa-1412	293	1	10	10	NUM
ijassa-1412	293	2	.	.	PUNCT
ijassa-1412	294	1	liu	liu	PROPN
ijassa-1412	294	2	,	,	PUNCT
ijassa-1412	294	3	y.	y.	PROPN
ijassa-1412	294	4	&	&	CCONJ
ijassa-1412	294	5	payeur	payeur	PROPN
ijassa-1412	294	6	,	,	PUNCT
ijassa-1412	294	7	p.	p.	NOUN
ijassa-1412	294	8	(	(	PUNCT
ijassa-1412	294	9	2003	2003	NUM
ijassa-1412	294	10	)	)	PUNCT
ijassa-1412	294	11	.	.	PUNCT
ijassa-1412	295	1	robust	robust	ADJ
ijassa-1412	295	2	image	image	NOUN
ijassa-1412	295	3	-	-	PUNCT
ijassa-1412	295	4	based	base	VERB
ijassa-1412	295	5	detection	detection	NOUN
ijassa-1412	295	6	of	of	ADP
ijassa-1412	295	7	activity	activity	NOUN
ijassa-1412	295	8	for	for	ADP
ijassa-1412	295	9	traffic	traffic	NOUN
ijassa-1412	295	10	control	control	NOUN
ijassa-1412	295	11	,	,	PUNCT
ijassa-1412	295	12	canadian	canadian	ADJ
ijassa-1412	295	13	journal	journal	NOUN
ijassa-1412	295	14	of	of	ADP
ijassa-1412	295	15	electrical	electrical	ADJ
ijassa-1412	295	16	and	and	CCONJ
ijassa-1412	295	17	computer	computer	NOUN
ijassa-1412	295	18	engineering	engineering	NOUN
ijassa-1412	295	19	,	,	PUNCT
ijassa-1412	295	20	28(2	28(2	NUM
ijassa-1412	295	21	)	)	PUNCT
ijassa-1412	295	22	,	,	PUNCT
ijassa-1412	295	23	63–67	63–67	NUM
ijassa-1412	295	24	,	,	PUNCT
ijassa-1412	295	25	https://doi.org/10.1109/cjece.2003.1532510	https://doi.org/10.1109/cjece.2003.1532510	PROPN
ijassa-1412	295	26	11	11	NUM
ijassa-1412	295	27	.	.	PUNCT
ijassa-1412	296	1	cucchiara	cucchiara	PROPN
ijassa-1412	296	2	,	,	PUNCT
ijassa-1412	296	3	r.	r.	PROPN
ijassa-1412	296	4	,	,	PUNCT
ijassa-1412	296	5	piccardi	piccardi	PROPN
ijassa-1412	296	6	,	,	PUNCT
ijassa-1412	296	7	m.	m.	NOUN
ijassa-1412	296	8	&	&	CCONJ
ijassa-1412	296	9	mello	mello	PROPN
ijassa-1412	296	10	,	,	PUNCT
ijassa-1412	296	11	p.	p.	NOUN
ijassa-1412	296	12	(	(	PUNCT
ijassa-1412	296	13	2000	2000	NUM
ijassa-1412	296	14	)	)	PUNCT
ijassa-1412	296	15	.	.	PUNCT
ijassa-1412	297	1	image	image	NOUN
ijassa-1412	297	2	analysis	analysis	NOUN
ijassa-1412	297	3	and	and	CCONJ
ijassa-1412	297	4	rule	rule	NOUN
ijassa-1412	297	5	-	-	PUNCT
ijassa-1412	297	6	based	base	VERB
ijassa-1412	297	7	reasoning	reasoning	NOUN
ijassa-1412	297	8	for	for	ADP
ijassa-1412	297	9	a	a	DET
ijassa-1412	297	10	traffic	traffic	NOUN
ijassa-1412	297	11	monitoring	monitoring	NOUN
ijassa-1412	297	12	system	system	NOUN
ijassa-1412	297	13	,	,	PUNCT
ijassa-1412	297	14	ieee	ieee	NOUN
ijassa-1412	297	15	transactions	transaction	NOUN
ijassa-1412	297	16	on	on	ADP
ijassa-1412	297	17	intelligent	intelligent	ADJ
ijassa-1412	297	18	transportation	transportation	NOUN
ijassa-1412	297	19	systems	system	NOUN
ijassa-1412	297	20	,	,	PUNCT
ijassa-1412	297	21	1(2	1(2	NUM
ijassa-1412	297	22	)	)	PUNCT
ijassa-1412	297	23	,	,	PUNCT
ijassa-1412	297	24	119–130	119–130	NUM
ijassa-1412	297	25	,	,	PUNCT
ijassa-1412	297	26	https://doi.org/10.1109/6979.880969	https://doi.org/10.1109/6979.880969	ADV
ijassa-1412	297	27	12	12	NUM
ijassa-1412	297	28	.	.	PUNCT
ijassa-1412	298	1	yoneyama	yoneyama	NOUN
ijassa-1412	298	2	,	,	PUNCT
ijassa-1412	298	3	a.	a.	PROPN
ijassa-1412	298	4	,	,	PUNCT
ijassa-1412	298	5	yeh	yeh	PROPN
ijassa-1412	298	6	,	,	PUNCT
ijassa-1412	298	7	c.	c.	PROPN
ijassa-1412	298	8	h.	h.	PROPN
ijassa-1412	298	9	&	&	CCONJ
ijassa-1412	298	10	kuo	kuo	PROPN
ijassa-1412	298	11	,	,	PUNCT
ijassa-1412	298	12	c.	c.	PROPN
ijassa-1412	298	13	c.	c.	PROPN
ijassa-1412	298	14	j.	j.	PROPN
ijassa-1412	298	15	(	(	PUNCT
ijassa-1412	298	16	2005	2005	NUM
ijassa-1412	298	17	)	)	PUNCT
ijassa-1412	298	18	.	.	PUNCT
ijassa-1412	299	1	robust	robust	ADJ
ijassa-1412	299	2	vehicle	vehicle	NOUN
ijassa-1412	299	3	and	and	CCONJ
ijassa-1412	299	4	traffic	traffic	NOUN
ijassa-1412	299	5	information	information	NOUN
ijassa-1412	299	6	extraction	extraction	NOUN
ijassa-1412	299	7	for	for	ADP
ijassa-1412	299	8	highway	highway	NOUN
ijassa-1412	299	9	surveillance	surveillance	NOUN
ijassa-1412	299	10	,	,	PUNCT
ijassa-1412	299	11	eurasip	eurasip	NOUN
ijassa-1412	299	12	journal	journal	PROPN
ijassa-1412	299	13	on	on	ADP
ijassa-1412	299	14	advances	advance	NOUN
ijassa-1412	299	15	in	in	ADP
ijassa-1412	299	16	signal	signal	ADJ
ijassa-1412	299	17	processing	processing	NOUN
ijassa-1412	299	18	,	,	PUNCT
ijassa-1412	299	19	2005(14	2005(14	NUM
ijassa-1412	299	20	)	)	PUNCT
ijassa-1412	299	21	,	,	PUNCT
ijassa-1412	299	22	1–17	1–17	PROPN
ijassa-1412	299	23	,	,	PUNCT
ijassa-1412	299	24	https://doi.org/10.1155/asp.2005.2305	https://doi.org/10.1155/asp.2005.2305	NOUN
ijassa-1412	299	25	13	13	NUM
ijassa-1412	299	26	.	.	PUNCT
ijassa-1412	300	1	wang	wang	PROPN
ijassa-1412	300	2	,	,	PUNCT
ijassa-1412	300	3	g.	g.	PROPN
ijassa-1412	300	4	,	,	PUNCT
ijassa-1412	300	5	xiao	xiao	PROPN
ijassa-1412	300	6	,	,	PUNCT
ijassa-1412	300	7	d.	d.	PROPN
ijassa-1412	300	8	&	&	CCONJ
ijassa-1412	300	9	gu	gu	PROPN
ijassa-1412	300	10	,	,	PUNCT
ijassa-1412	300	11	j.	j.	PROPN
ijassa-1412	300	12	(	(	PUNCT
ijassa-1412	300	13	2008	2008	NUM
ijassa-1412	300	14	,	,	PUNCT
ijassa-1412	300	15	september	september	PROPN
ijassa-1412	300	16	)	)	PUNCT
ijassa-1412	300	17	.	.	PUNCT
ijassa-1412	301	1	review	review	NOUN
ijassa-1412	301	2	on	on	ADP
ijassa-1412	301	3	vehicle	vehicle	NOUN
ijassa-1412	301	4	detection	detection	NOUN
ijassa-1412	301	5	based	base	VERB
ijassa-1412	301	6	on	on	ADP
ijassa-1412	301	7	video	video	NOUN
ijassa-1412	301	8	for	for	ADP
ijassa-1412	301	9	traffic	traffic	NOUN
ijassa-1412	301	10	surveillance	surveillance	NOUN
ijassa-1412	301	11	,	,	PUNCT
ijassa-1412	301	12	proc	proc	NOUN
ijassa-1412	301	13	.	.	PUNCT
ijassa-1412	302	1	of	of	ADP
ijassa-1412	302	2	2008	2008	NUM
ijassa-1412	302	3	ieee	ieee	NOUN
ijassa-1412	302	4	international	international	ADJ
ijassa-1412	302	5	conference	conference	NOUN
ijassa-1412	302	6	on	on	ADP
ijassa-1412	302	7	automation	automation	NOUN
ijassa-1412	302	8	and	and	CCONJ
ijassa-1412	302	9	logistics	logistic	NOUN
ijassa-1412	302	10	(	(	PUNCT
ijassa-1412	302	11	chindao	chindao	PROPN
ijassa-1412	302	12	,	,	PUNCT
ijassa-1412	302	13	china	china	PROPN
ijassa-1412	302	14	)	)	PUNCT
ijassa-1412	302	15	,	,	PUNCT
ijassa-1412	302	16	2961–2966	2961–2966	NUM
ijassa-1412	302	17	.	.	PUNCT
ijassa-1412	302	18	14	14	NUM
ijassa-1412	302	19	.	.	X
ijassa-1412	303	1	chan	chan	PROPN
ijassa-1412	303	2	,	,	PUNCT
ijassa-1412	303	3	a.	a.	PROPN
ijassa-1412	303	4	b.	b.	PROPN
ijassa-1412	303	5	&	&	CCONJ
ijassa-1412	303	6	vasconcelos	vasconcelos	PROPN
ijassa-1412	303	7	,	,	PUNCT
ijassa-1412	303	8	n.	n.	PROPN
ijassa-1412	303	9	(	(	PUNCT
ijassa-1412	303	10	2005	2005	NUM
ijassa-1412	303	11	)	)	PUNCT
ijassa-1412	303	12	.	.	PUNCT
ijassa-1412	304	1	classification	classification	NOUN
ijassa-1412	304	2	and	and	CCONJ
ijassa-1412	304	3	retrieval	retrieval	NOUN
ijassa-1412	304	4	of	of	ADP
ijassa-1412	304	5	traffic	traffic	NOUN
ijassa-1412	304	6	video	video	NOUN
ijassa-1412	304	7	using	use	VERB
ijassa-1412	304	8	autoregressive	autoregressive	ADJ
ijassa-1412	304	9	stochastic	stochastic	ADJ
ijassa-1412	304	10	processes	process	NOUN
ijassa-1412	304	11	,	,	PUNCT
ijassa-1412	304	12	proc	proc	NOUN
ijassa-1412	304	13	.	.	PROPN
ijassa-1412	304	14	of	of	ADP
ijassa-1412	304	15	ieee	ieee	NOUN
ijassa-1412	304	16	proceedings	proceeding	NOUN
ijassa-1412	304	17	.	.	PUNCT
ijassa-1412	305	1	intelligent	intelligent	ADJ
ijassa-1412	305	2	vehicles	vehicle	NOUN
ijassa-1412	305	3	symposium	symposium	NOUN
ijassa-1412	305	4	,	,	PUNCT
ijassa-1412	305	5	2005	2005	NUM
ijassa-1412	305	6	,	,	PUNCT
ijassa-1412	305	7	(	(	PUNCT
ijassa-1412	305	8	las	las	PROPN
ijassa-1412	305	9	vegas	vegas	PROPN
ijassa-1412	305	10	,	,	PUNCT
ijassa-1412	305	11	nv	nv	PROPN
ijassa-1412	305	12	)	)	PUNCT
ijassa-1412	305	13	,	,	PUNCT
ijassa-1412	305	14	771–776	771–776	NUM
ijassa-1412	305	15	.	.	PUNCT
ijassa-1412	306	1	15	15	NUM
ijassa-1412	306	2	.	.	X
ijassa-1412	307	1	asmaa	asmaa	PROPN
ijassa-1412	307	2	,	,	PUNCT
ijassa-1412	307	3	o.	o.	PROPN
ijassa-1412	307	4	,	,	PUNCT
ijassa-1412	307	5	mokhtar	mokhtar	PROPN
ijassa-1412	307	6	,	,	PUNCT
ijassa-1412	307	7	k.	k.	PROPN
ijassa-1412	307	8	&	&	CCONJ
ijassa-1412	307	9	abdelaziz	abdelaziz	PROPN
ijassa-1412	307	10	,	,	PUNCT
ijassa-1412	307	11	o.	o.	PROPN
ijassa-1412	307	12	(	(	PUNCT
ijassa-1412	307	13	2013	2013	NUM
ijassa-1412	307	14	)	)	PUNCT
ijassa-1412	307	15	.	.	PUNCT
ijassa-1412	308	1	road	road	NOUN
ijassa-1412	308	2	traffic	traffic	NOUN
ijassa-1412	308	3	density	density	NOUN
ijassa-1412	308	4	estimation	estimation	NOUN
ijassa-1412	308	5	using	use	VERB
ijassa-1412	308	6	microscopic	microscopic	ADJ
ijassa-1412	308	7	and	and	CCONJ
ijassa-1412	308	8	macroscopic	macroscopic	ADJ
ijassa-1412	308	9	parameters	parameter	NOUN
ijassa-1412	308	10	,	,	PUNCT
ijassa-1412	308	11	image	image	NOUN
ijassa-1412	308	12	and	and	CCONJ
ijassa-1412	308	13	vision	vision	NOUN
ijassa-1412	308	14	computing	computing	NOUN
ijassa-1412	308	15	,	,	PUNCT
ijassa-1412	308	16	31(11	31(11	NUM
ijassa-1412	308	17	)	)	PUNCT
ijassa-1412	308	18	,	,	PUNCT
ijassa-1412	308	19	887–894	887–894	NUM
ijassa-1412	308	20	,	,	PUNCT
ijassa-1412	308	21	https://doi.org/10.1016/j.imavis.2013.09.006	https://doi.org/10.1016/j.imavis.2013.09.006	NUM
ijassa-1412	308	22	16	16	NUM
ijassa-1412	308	23	.	.	PUNCT
ijassa-1412	309	1	kurniawan	kurniawan	PROPN
ijassa-1412	309	2	,	,	PUNCT
ijassa-1412	309	3	j.	j.	PROPN
ijassa-1412	309	4	,	,	PUNCT
ijassa-1412	309	5	syahra	syahra	PROPN
ijassa-1412	309	6	,	,	PUNCT
ijassa-1412	309	7	s.	s.	PROPN
ijassa-1412	309	8	g.	g.	PROPN
ijassa-1412	309	9	&	&	CCONJ
ijassa-1412	309	10	dewa	dewa	PROPN
ijassa-1412	309	11	,	,	PUNCT
ijassa-1412	309	12	c.	c.	PROPN
ijassa-1412	309	13	k.	k.	PROPN
ijassa-1412	309	14	(	(	PUNCT
ijassa-1412	309	15	2018	2018	NUM
ijassa-1412	309	16	)	)	PUNCT
ijassa-1412	309	17	.	.	PUNCT
ijassa-1412	310	1	traffic	traffic	NOUN
ijassa-1412	310	2	congestion	congestion	NOUN
ijassa-1412	310	3	detection	detection	NOUN
ijassa-1412	310	4	:	:	PUNCT
ijassa-1412	310	5	learning	learn	VERB
ijassa-1412	310	6	from	from	ADP
ijassa-1412	310	7	cctv	cctv	NOUN
ijassa-1412	310	8	monitoring	monitor	VERB
ijassa-1412	310	9	images	image	NOUN
ijassa-1412	310	10	using	use	VERB
ijassa-1412	310	11	convolutional	convolutional	ADJ
ijassa-1412	310	12	neural	neural	ADJ
ijassa-1412	310	13	network	network	NOUN
ijassa-1412	310	14	,	,	PUNCT
ijassa-1412	310	15	procedia	procedia	NOUN
ijassa-1412	310	16	computer	computer	NOUN
ijassa-1412	310	17	science	science	NOUN
ijassa-1412	310	18	,	,	PUNCT
ijassa-1412	310	19	144	144	NUM
ijassa-1412	310	20	,	,	PUNCT
ijassa-1412	310	21	291–297	291–297	NUM
ijassa-1412	310	22	.	.	PUNCT
ijassa-1412	311	1	17	17	NUM
ijassa-1412	311	2	.	.	PUNCT
ijassa-1412	312	1	li	li	PROPN
ijassa-1412	312	2	,	,	PUNCT
ijassa-1412	312	3	z.	z.	PROPN
ijassa-1412	312	4	,	,	PUNCT
ijassa-1412	312	5	liu	liu	PROPN
ijassa-1412	312	6	,	,	PUNCT
ijassa-1412	312	7	f.	f.	PROPN
ijassa-1412	312	8	,	,	PUNCT
ijassa-1412	312	9	yang	yang	PROPN
ijassa-1412	312	10	,	,	PUNCT
ijassa-1412	312	11	w.	w.	PROPN
ijassa-1412	312	12	,	,	PUNCT
ijassa-1412	312	13	peng	peng	PROPN
ijassa-1412	312	14	,	,	PUNCT
ijassa-1412	312	15	s.	s.	PROPN
ijassa-1412	312	16	&	&	CCONJ
ijassa-1412	312	17	zhou	zhou	PROPN
ijassa-1412	312	18	,	,	PUNCT
ijassa-1412	312	19	j.	j.	PROPN
ijassa-1412	312	20	(	(	PUNCT
ijassa-1412	312	21	2021	2021	NUM
ijassa-1412	312	22	)	)	PUNCT
ijassa-1412	312	23	.	.	PUNCT
ijassa-1412	313	1	a	a	DET
ijassa-1412	313	2	survey	survey	NOUN
ijassa-1412	313	3	of	of	ADP
ijassa-1412	313	4	convolutional	convolutional	ADJ
ijassa-1412	313	5	neural	neural	ADJ
ijassa-1412	313	6	networks	network	NOUN
ijassa-1412	313	7	:	:	PUNCT
ijassa-1412	313	8	analysis	analysis	NOUN
ijassa-1412	313	9	,	,	PUNCT
ijassa-1412	313	10	applications	application	NOUN
ijassa-1412	313	11	,	,	PUNCT
ijassa-1412	313	12	and	and	CCONJ
ijassa-1412	313	13	prospects	prospect	NOUN
ijassa-1412	313	14	,	,	PUNCT
ijassa-1412	313	15	ieee	ieee	NOUN
ijassa-1412	313	16	transactions	transaction	NOUN
ijassa-1412	313	17	on	on	ADP
ijassa-1412	313	18	neural	neural	ADJ
ijassa-1412	313	19	networks	network	NOUN
ijassa-1412	313	20	and	and	CCONJ
ijassa-1412	313	21	learning	learning	NOUN
ijassa-1412	313	22	systems	system	NOUN
ijassa-1412	313	23	,	,	PUNCT
ijassa-1412	313	24	33(12	33(12	NUM
ijassa-1412	313	25	)	)	PUNCT
ijassa-1412	313	26	,	,	PUNCT
ijassa-1412	313	27	6999–7019	6999–7019	NUM
ijassa-1412	313	28	.	.	PUNCT
ijassa-1412	314	1	18	18	NUM
ijassa-1412	314	2	.	.	X
ijassa-1412	314	3	albawi	albawi	PROPN
ijassa-1412	314	4	,	,	PUNCT
ijassa-1412	314	5	s.	s.	PROPN
ijassa-1412	314	6	,	,	PUNCT
ijassa-1412	314	7	mohammed	mohammed	PROPN
ijassa-1412	314	8	,	,	PUNCT
ijassa-1412	314	9	t.	t.	PROPN
ijassa-1412	314	10	a.	a.	PROPN
ijassa-1412	314	11	&	&	CCONJ
ijassa-1412	314	12	al	al	PROPN
ijassa-1412	314	13	-	-	PROPN
ijassa-1412	314	14	zawi	zawi	PROPN
ijassa-1412	314	15	,	,	PUNCT
ijassa-1412	314	16	s.	s.	PROPN
ijassa-1412	314	17	(	(	PUNCT
ijassa-1412	314	18	2017	2017	NUM
ijassa-1412	314	19	)	)	PUNCT
ijassa-1412	314	20	.	.	PUNCT
ijassa-1412	315	1	understanding	understanding	NOUN
ijassa-1412	315	2	of	of	ADP
ijassa-1412	315	3	a	a	DET
ijassa-1412	315	4	convolutional	convolutional	ADJ
ijassa-1412	315	5	neural	neural	ADJ
ijassa-1412	315	6	network	network	NOUN
ijassa-1412	315	7	.	.	PUNCT
ijassa-1412	316	1	proc	proc	PROPN
ijassa-1412	316	2	.	.	PUNCT
ijassa-1412	317	1	of	of	ADP
ijassa-1412	317	2	2017	2017	NUM
ijassa-1412	317	3	international	international	ADJ
ijassa-1412	317	4	conference	conference	NOUN
ijassa-1412	317	5	on	on	ADP
ijassa-1412	317	6	engineering	engineering	NOUN
ijassa-1412	317	7	and	and	CCONJ
ijassa-1412	317	8	technology	technology	NOUN
ijassa-1412	317	9	(	(	PUNCT
ijassa-1412	317	10	icet	icet	PROPN
ijassa-1412	317	11	)	)	PUNCT
ijassa-1412	317	12	(	(	PUNCT
ijassa-1412	317	13	antalya	antalya	PROPN
ijassa-1412	317	14	,	,	PUNCT
ijassa-1412	317	15	turkey	turkey	PROPN
ijassa-1412	317	16	)	)	PUNCT
ijassa-1412	317	17	,	,	PUNCT
ijassa-1412	317	18	1–6	1–6	NUM
ijassa-1412	317	19	.	.	NOUN
ijassa-1412	317	20	19	19	NUM
ijassa-1412	317	21	.	.	NUM
ijassa-1412	317	22	gholamalinezhad	gholamalinezhad	VERB
ijassa-1412	317	23	,	,	PUNCT
ijassa-1412	317	24	h.	h.	PROPN
ijassa-1412	317	25	&	&	CCONJ
ijassa-1412	317	26	khosravi	khosravi	PROPN
ijassa-1412	317	27	,	,	PUNCT
ijassa-1412	317	28	h.	h.	PROPN
ijassa-1412	317	29	(	(	PUNCT
ijassa-1412	317	30	2020	2020	NUM
ijassa-1412	317	31	)	)	PUNCT
ijassa-1412	317	32	.	.	PUNCT
ijassa-1412	318	1	pooling	pool	VERB
ijassa-1412	318	2	methods	method	NOUN
ijassa-1412	318	3	in	in	ADP
ijassa-1412	318	4	deep	deep	ADJ
ijassa-1412	318	5	neural	neural	ADJ
ijassa-1412	318	6	networks	network	NOUN
ijassa-1412	318	7	,	,	PUNCT
ijassa-1412	318	8	a	a	DET
ijassa-1412	318	9	review	review	NOUN
ijassa-1412	318	10	.	.	PUNCT
ijassa-1412	319	1	arxiv	arxiv	NOUN
ijassa-1412	319	2	:	:	PUNCT
ijassa-1412	320	1	2009.07485	2009.07485	NUM
ijassa-1412	320	2	,	,	PUNCT
ijassa-1412	320	3	[	[	X
ijassa-1412	320	4	online	online	X
ijassa-1412	320	5	]	]	X
ijassa-1412	320	6	.	.	PUNCT
ijassa-1412	321	1	available	available	ADJ
ijassa-1412	321	2	:	:	PUNCT
ijassa-1412	321	3	https://arxiv.org/abs/2009.07485	https://arxiv.org/abs/2009.07485	PROPN
ijassa-1412	321	4	sofiane	sofiane	PROPN
ijassa-1412	321	5	abdelkrim	abdelkrim	PROPN
ijassa-1412	321	6	khalladi	khalladi	PROPN
ijassa-1412	321	7	,	,	PUNCT
ijassa-1412	321	8	asmâa	asmâa	PROPN
ijassa-1412	321	9	ouessai	ouessai	PROPN
ijassa-1412	321	10	,	,	PUNCT
ijassa-1412	321	11	mokhtar	mokhtar	PROPN
ijassa-1412	321	12	keche	keche	PROPN
ijassa-1412	321	13	141	141	NUM
ijassa-1412	321	14	copyright	copyright	NOUN
ijassa-1412	321	15	©	©	PROPN
ijassa-1412	321	16	2024	2024	NUM
ijassa-1412	321	17	assa	assa	NOUN
ijassa-1412	321	18	.	.	PUNCT
ijassa-1412	322	1	adv	adv	PROPN
ijassa-1412	322	2	.	.	PUNCT
ijassa-1412	323	1	in	in	ADP
ijassa-1412	323	2	systems	system	NOUN
ijassa-1412	323	3	science	science	NOUN
ijassa-1412	323	4	and	and	CCONJ
ijassa-1412	323	5	appl	appl	NOUN
ijassa-1412	323	6	.	.	PUNCT
ijassa-1412	324	1	(	(	PUNCT
ijassa-1412	324	2	2024	2024	NUM
ijassa-1412	324	3	)	)	PUNCT
ijassa-1412	324	4	20	20	NUM
ijassa-1412	324	5	.	.	PUNCT
ijassa-1412	325	1	basha	basha	PROPN
ijassa-1412	325	2	,	,	PUNCT
ijassa-1412	325	3	s.	s.	PROPN
ijassa-1412	325	4	s.	s.	PROPN
ijassa-1412	325	5	,	,	PUNCT
ijassa-1412	325	6	dubey	dubey	PROPN
ijassa-1412	325	7	,	,	PUNCT
ijassa-1412	325	8	s.	s.	PROPN
ijassa-1412	325	9	r.	r.	PROPN
ijassa-1412	325	10	,	,	PUNCT
ijassa-1412	325	11	pulabaigari	pulabaigari	NOUN
ijassa-1412	325	12	,	,	PUNCT
ijassa-1412	325	13	v.	v.	PROPN
ijassa-1412	325	14	&	&	CCONJ
ijassa-1412	325	15	mukherjee	mukherjee	PROPN
ijassa-1412	325	16	,	,	PUNCT
ijassa-1412	325	17	s.	s.	PROPN
ijassa-1412	325	18	(	(	PUNCT
ijassa-1412	325	19	2020	2020	NUM
ijassa-1412	325	20	)	)	PUNCT
ijassa-1412	325	21	.	.	PUNCT
ijassa-1412	326	1	impact	impact	NOUN
ijassa-1412	326	2	of	of	ADP
ijassa-1412	326	3	fully	fully	ADV
ijassa-1412	326	4	connected	connected	ADJ
ijassa-1412	326	5	layers	layer	NOUN
ijassa-1412	326	6	on	on	ADP
ijassa-1412	326	7	performance	performance	NOUN
ijassa-1412	326	8	of	of	ADP
ijassa-1412	326	9	convolutional	convolutional	ADJ
ijassa-1412	326	10	neural	neural	ADJ
ijassa-1412	326	11	networks	network	NOUN
ijassa-1412	326	12	for	for	ADP
ijassa-1412	326	13	image	image	NOUN
ijassa-1412	326	14	classification	classification	NOUN
ijassa-1412	326	15	,	,	PUNCT
ijassa-1412	326	16	neurocomputing	neurocomputing	NOUN
ijassa-1412	326	17	,	,	PUNCT
ijassa-1412	326	18	378	378	NUM
ijassa-1412	326	19	,	,	PUNCT
ijassa-1412	326	20	112	112	NUM
ijassa-1412	326	21	–	–	PUNCT
ijassa-1412	326	22	119	119	NUM
ijassa-1412	326	23	.	.	NOUN
ijassa-1412	326	24	21	21	NUM
ijassa-1412	326	25	.	.	PUNCT
ijassa-1412	327	1	sharma	sharma	PROPN
ijassa-1412	327	2	,	,	PUNCT
ijassa-1412	327	3	s.	s.	PROPN
ijassa-1412	327	4	,	,	PUNCT
ijassa-1412	327	5	sharma	sharma	PROPN
ijassa-1412	327	6	,	,	PUNCT
ijassa-1412	327	7	s.	s.	PROPN
ijassa-1412	327	8	&	&	CCONJ
ijassa-1412	327	9	athaiya	athaiya	PROPN
ijassa-1412	327	10	,	,	PUNCT
ijassa-1412	327	11	a.	a.	NOUN
ijassa-1412	327	12	(	(	PUNCT
ijassa-1412	327	13	2017	2017	NUM
ijassa-1412	327	14	)	)	PUNCT
ijassa-1412	327	15	.	.	PUNCT
ijassa-1412	328	1	activation	activation	NOUN
ijassa-1412	328	2	functions	function	NOUN
ijassa-1412	328	3	in	in	ADP
ijassa-1412	328	4	neural	neural	ADJ
ijassa-1412	328	5	networks	network	NOUN
ijassa-1412	328	6	,	,	PUNCT
ijassa-1412	328	7	towards	towards	ADP
ijassa-1412	328	8	data	data	PROPN
ijassa-1412	328	9	sci	sci	PROPN
ijassa-1412	328	10	,	,	PUNCT
ijassa-1412	328	11	6(12	6(12	NUM
ijassa-1412	328	12	)	)	PUNCT
ijassa-1412	328	13	,	,	PUNCT
ijassa-1412	329	1	310–316	310–316	NUM
ijassa-1412	329	2	.	.	PUNCT
ijassa-1412	330	1	22	22	NUM
ijassa-1412	330	2	.	.	PUNCT
ijassa-1412	331	1	dietterich	dietterich	PROPN
ijassa-1412	331	2	,	,	PUNCT
ijassa-1412	331	3	t.	t.	PROPN
ijassa-1412	331	4	(	(	PUNCT
ijassa-1412	331	5	1995	1995	NUM
ijassa-1412	331	6	)	)	PUNCT
ijassa-1412	331	7	.	.	PUNCT
ijassa-1412	332	1	overfitting	overfitte	VERB
ijassa-1412	332	2	and	and	CCONJ
ijassa-1412	332	3	undercomputing	undercomputing	NOUN
ijassa-1412	332	4	in	in	ADP
ijassa-1412	332	5	machine	machine	NOUN
ijassa-1412	332	6	learning	learning	NOUN
ijassa-1412	332	7	,	,	PUNCT
ijassa-1412	332	8	acm	acm	PROPN
ijassa-1412	332	9	computing	computing	NOUN
ijassa-1412	332	10	surveys	survey	NOUN
ijassa-1412	332	11	(	(	PUNCT
ijassa-1412	332	12	csur	csur	NOUN
ijassa-1412	332	13	)	)	PUNCT
ijassa-1412	332	14	,	,	PUNCT
ijassa-1412	332	15	27(3	27(3	NUM
ijassa-1412	332	16	)	)	PUNCT
ijassa-1412	332	17	,	,	PUNCT
ijassa-1412	332	18	326–327	326–327	NUM
ijassa-1412	332	19	.	.	NOUN
ijassa-1412	332	20	23	23	NUM
ijassa-1412	332	21	.	.	PUNCT
ijassa-1412	333	1	park	park	PROPN
ijassa-1412	333	2	,	,	PUNCT
ijassa-1412	333	3	s.	s.	PROPN
ijassa-1412	333	4	&	&	CCONJ
ijassa-1412	333	5	kwak	kwak	PROPN
ijassa-1412	333	6	,	,	PUNCT
ijassa-1412	333	7	n.	n.	PROPN
ijassa-1412	333	8	(	(	PUNCT
ijassa-1412	333	9	2017	2017	NUM
ijassa-1412	333	10	)	)	PUNCT
ijassa-1412	333	11	.	.	PUNCT
ijassa-1412	334	1	analysis	analysis	NOUN
ijassa-1412	334	2	on	on	ADP
ijassa-1412	334	3	the	the	DET
ijassa-1412	334	4	dropout	dropout	NOUN
ijassa-1412	334	5	effect	effect	NOUN
ijassa-1412	334	6	in	in	ADP
ijassa-1412	334	7	convolutional	convolutional	ADJ
ijassa-1412	334	8	neural	neural	ADJ
ijassa-1412	334	9	networks	network	NOUN
ijassa-1412	334	10	,	,	PUNCT
ijassa-1412	334	11	proc	proc	NOUN
ijassa-1412	334	12	.	.	PUNCT
ijassa-1412	335	1	of	of	ADP
ijassa-1412	335	2	computer	computer	NOUN
ijassa-1412	335	3	vision	vision	NOUN
ijassa-1412	335	4	–	–	PUNCT
ijassa-1412	335	5	accv	accv	NOUN
ijassa-1412	335	6	2016	2016	NUM
ijassa-1412	335	7	:	:	PUNCT
ijassa-1412	335	8	13th	13th	ADJ
ijassa-1412	335	9	asian	asian	ADJ
ijassa-1412	335	10	conference	conference	NOUN
ijassa-1412	335	11	on	on	ADP
ijassa-1412	335	12	computer	computer	NOUN
ijassa-1412	335	13	vision	vision	NOUN
ijassa-1412	335	14	(	(	PUNCT
ijassa-1412	335	15	taipei	taipei	PROPN
ijassa-1412	335	16	,	,	PUNCT
ijassa-1412	335	17	taiwan	taiwan	PROPN
ijassa-1412	335	18	)	)	PUNCT
ijassa-1412	335	19	,	,	PUNCT
ijassa-1412	335	20	189	189	NUM
ijassa-1412	335	21	–	–	SYM
ijassa-1412	335	22	204	204	NUM
ijassa-1412	335	23	.	.	X
ijassa-1412	336	1	24	24	NUM
ijassa-1412	336	2	.	.	PUNCT
ijassa-1412	336	3	banerjee	banerjee	PROPN
ijassa-1412	336	4	,	,	PUNCT
ijassa-1412	336	5	k.	k.	PROPN
ijassa-1412	336	6	,	,	PUNCT
ijassa-1412	336	7	gupta	gupta	PROPN
ijassa-1412	336	8	,	,	PUNCT
ijassa-1412	336	9	r.	r.	PROPN
ijassa-1412	336	10	r.	r.	PROPN
ijassa-1412	336	11	,	,	PUNCT
ijassa-1412	336	12	vyas	vyas	PROPN
ijassa-1412	336	13	,	,	PUNCT
ijassa-1412	336	14	k.	k.	PROPN
ijassa-1412	336	15	&	&	CCONJ
ijassa-1412	336	16	mishra	mishra	PROPN
ijassa-1412	336	17	,	,	PUNCT
ijassa-1412	336	18	b.	b.	PROPN
ijassa-1412	336	19	(	(	PUNCT
ijassa-1412	336	20	2020	2020	NUM
ijassa-1412	336	21	)	)	PUNCT
ijassa-1412	336	22	.	.	PUNCT
ijassa-1412	337	1	exploring	explore	VERB
ijassa-1412	337	2	alternatives	alternative	NOUN
ijassa-1412	337	3	to	to	ADP
ijassa-1412	337	4	softmax	softmax	NOUN
ijassa-1412	337	5	function	function	NOUN
ijassa-1412	337	6	.	.	PUNCT
ijassa-1412	338	1	arxiv	arxiv	NOUN
ijassa-1412	338	2	:	:	PUNCT
ijassa-1412	338	3	2011.11538	2011.11538	NOUN
ijassa-1412	338	4	,	,	PUNCT
ijassa-1412	338	5	[	[	X
ijassa-1412	338	6	online	online	X
ijassa-1412	338	7	]	]	X
ijassa-1412	338	8	.	.	PUNCT
ijassa-1412	339	1	available	available	ADJ
ijassa-1412	339	2	:	:	PUNCT
ijassa-1412	339	3	https://arxiv.org/abs/2011.11538	https://arxiv.org/abs/2011.11538	PROPN
ijassa-1412	339	4	25	25	NUM
ijassa-1412	339	5	.	.	PUNCT
ijassa-1412	340	1	dubey	dubey	PROPN
ijassa-1412	340	2	,	,	PUNCT
ijassa-1412	340	3	a.	a.	PROPN
ijassa-1412	340	4	k.	k.	PROPN
ijassa-1412	340	5	&	&	CCONJ
ijassa-1412	340	6	jain	jain	PROPN
ijassa-1412	340	7	,	,	PUNCT
ijassa-1412	340	8	v.	v.	PROPN
ijassa-1412	340	9	(	(	PUNCT
ijassa-1412	340	10	2019	2019	NUM
ijassa-1412	340	11	)	)	PUNCT
ijassa-1412	340	12	.	.	PUNCT
ijassa-1412	341	1	comparative	comparative	ADJ
ijassa-1412	341	2	study	study	NOUN
ijassa-1412	341	3	of	of	ADP
ijassa-1412	341	4	convolution	convolution	NOUN
ijassa-1412	341	5	neural	neural	ADJ
ijassa-1412	341	6	network	network	NOUN
ijassa-1412	341	7	’s	’s	PART
ijassa-1412	341	8	relu	relu	NOUN
ijassa-1412	341	9	and	and	CCONJ
ijassa-1412	341	10	leakyrelu	leakyrelu	ADJ
ijassa-1412	341	11	activation	activation	NOUN
ijassa-1412	341	12	functions	function	NOUN
ijassa-1412	341	13	,	,	PUNCT
ijassa-1412	341	14	proc	proc	NOUN
ijassa-1412	341	15	.	.	PROPN
ijassa-1412	341	16	of	of	ADP
ijassa-1412	341	17	marc	marc	PROPN
ijassa-1412	341	18	2018	2018	NUM
ijassa-1412	341	19	(	(	PUNCT
ijassa-1412	341	20	chicago	chicago	PROPN
ijassa-1412	341	21	,	,	PUNCT
ijassa-1412	341	22	il	il	PROPN
ijassa-1412	341	23	)	)	PUNCT
ijassa-1412	341	24	,	,	PUNCT
ijassa-1412	341	25	873–880	873–880	NUM
ijassa-1412	341	26	.	.	PUNCT
ijassa-1412	342	1	26	26	NUM
ijassa-1412	342	2	.	.	PUNCT
ijassa-1412	342	3	raschka	raschka	PROPN
ijassa-1412	342	4	,	,	PUNCT
ijassa-1412	342	5	s.	s.	PROPN
ijassa-1412	342	6	(	(	PUNCT
ijassa-1412	342	7	2018	2018	NUM
ijassa-1412	342	8	)	)	PUNCT
ijassa-1412	342	9	.	.	PUNCT
ijassa-1412	343	1	model	model	NOUN
ijassa-1412	343	2	evaluation	evaluation	NOUN
ijassa-1412	343	3	,	,	PUNCT
ijassa-1412	343	4	model	model	NOUN
ijassa-1412	343	5	selection	selection	NOUN
ijassa-1412	343	6	,	,	PUNCT
ijassa-1412	343	7	and	and	CCONJ
ijassa-1412	343	8	algorithm	algorithm	NOUN
ijassa-1412	343	9	selection	selection	NOUN
ijassa-1412	343	10	in	in	ADP
ijassa-1412	343	11	machine	machine	NOUN
ijassa-1412	343	12	learning	learning	NOUN
ijassa-1412	343	13	.	.	PUNCT
ijassa-1412	344	1	arxiv	arxiv	NOUN
ijassa-1412	344	2	:	:	PUNCT
ijassa-1412	344	3	1811.12808	1811.12808	NUM
ijassa-1412	344	4	,	,	PUNCT
ijassa-1412	345	1	[	[	X
ijassa-1412	345	2	online	online	X
ijassa-1412	345	3	]	]	X
ijassa-1412	345	4	.	.	PUNCT
ijassa-1412	346	1	available	available	ADJ
ijassa-1412	346	2	:	:	PUNCT
ijassa-1412	346	3	https://arxiv.org/abs/1811.12808	https://arxiv.org/abs/1811.12808	NOUN
ijassa-1412	346	4	27	27	NUM
ijassa-1412	346	5	.	.	PUNCT
ijassa-1412	347	1	ahmed	ahmed	PROPN
ijassa-1412	347	2	,	,	PUNCT
ijassa-1412	347	3	e.	e.	PROPN
ijassa-1412	347	4	,	,	PUNCT
ijassa-1412	347	5	jones	jones	PROPN
ijassa-1412	347	6	,	,	PUNCT
ijassa-1412	347	7	m.	m.	PROPN
ijassa-1412	347	8	&	&	CCONJ
ijassa-1412	347	9	marks	marks	PROPN
ijassa-1412	347	10	,	,	PUNCT
ijassa-1412	347	11	t.	t.	PROPN
ijassa-1412	347	12	k.	k.	PROPN
ijassa-1412	347	13	(	(	PUNCT
ijassa-1412	347	14	2015	2015	NUM
ijassa-1412	347	15	)	)	PUNCT
ijassa-1412	347	16	.	.	PUNCT
ijassa-1412	348	1	an	an	DET
ijassa-1412	348	2	improved	improve	VERB
ijassa-1412	348	3	deep	deep	ADJ
ijassa-1412	348	4	learning	learning	NOUN
ijassa-1412	348	5	architecture	architecture	NOUN
ijassa-1412	348	6	for	for	ADP
ijassa-1412	348	7	person	person	NOUN
ijassa-1412	348	8	reidentification	reidentification	NOUN
ijassa-1412	348	9	,	,	PUNCT
ijassa-1412	348	10	proc	proc	NOUN
ijassa-1412	348	11	.	.	PUNCT
ijassa-1412	348	12	of	of	ADP
ijassa-1412	348	13	the	the	DET
ijassa-1412	348	14	ieee	ieee	NOUN
ijassa-1412	348	15	conference	conference	NOUN
ijassa-1412	348	16	on	on	ADP
ijassa-1412	348	17	computer	computer	NOUN
ijassa-1412	348	18	vision	vision	NOUN
ijassa-1412	348	19	and	and	CCONJ
ijassa-1412	348	20	pattern	pattern	NOUN
ijassa-1412	348	21	recognition	recognition	NOUN
ijassa-1412	348	22	(	(	PUNCT
ijassa-1412	348	23	boston	boston	PROPN
ijassa-1412	348	24	,	,	PUNCT
ijassa-1412	348	25	ma	ma	PROPN
ijassa-1412	348	26	)	)	PUNCT
ijassa-1412	348	27	,	,	PUNCT
ijassa-1412	348	28	3908–3916	3908–3916	NUM
ijassa-1412	348	29	.	.	PUNCT
ijassa-1412	349	1	28	28	NUM
ijassa-1412	349	2	.	.	PUNCT
ijassa-1412	350	1	kingma	kingma	PROPN
ijassa-1412	350	2	,	,	PUNCT
ijassa-1412	350	3	d.	d.	PROPN
ijassa-1412	350	4	p.	p.	PROPN
ijassa-1412	350	5	,	,	PUNCT
ijassa-1412	350	6	&	&	CCONJ
ijassa-1412	350	7	ba	ba	PROPN
ijassa-1412	350	8	,	,	PUNCT
ijassa-1412	350	9	j.	j.	PROPN
ijassa-1412	350	10	(	(	PUNCT
ijassa-1412	350	11	2014	2014	NUM
ijassa-1412	350	12	)	)	PUNCT
ijassa-1412	350	13	.	.	PUNCT
ijassa-1412	351	1	adam	adam	PROPN
ijassa-1412	351	2	:	:	PUNCT
ijassa-1412	351	3	a	a	DET
ijassa-1412	351	4	method	method	NOUN
ijassa-1412	351	5	for	for	ADP
ijassa-1412	351	6	stochastic	stochastic	ADJ
ijassa-1412	351	7	optimization	optimization	NOUN
ijassa-1412	351	8	.	.	PUNCT
ijassa-1412	352	1	arxiv	arxiv	PROPN
ijassa-1412	352	2	preprint	preprint	VERB
ijassa-1412	352	3	arxiv:1412.6980	arxiv:1412.6980	NOUN
ijassa-1412	352	4	.	.	PUNCT
ijassa-1412	353	1	doi	doi	NOUN
ijassa-1412	353	2	:	:	PUNCT
ijassa-1412	353	3	https://doi.org/10.48550/arxiv.1412.6980	https://doi.org/10.48550/arxiv.1412.6980	PROPN
ijassa-1412	353	4	29	29	NUM
ijassa-1412	353	5	.	.	PUNCT
ijassa-1412	354	1	françois	françois	PROPN
ijassa-1412	354	2	,	,	PUNCT
ijassa-1412	354	3	c.	c.	PROPN
ijassa-1412	354	4	(	(	PUNCT
ijassa-1412	354	5	2017	2017	NUM
ijassa-1412	354	6	)	)	PUNCT
ijassa-1412	354	7	.	.	PUNCT
ijassa-1412	355	1	keras	keras	PROPN
ijassa-1412	355	2	.	.	PUNCT
ijassa-1412	356	1	github	github	PROPN
ijassa-1412	356	2	repository	repository	PROPN
ijassa-1412	356	3	,	,	PUNCT
ijassa-1412	356	4	[	[	X
ijassa-1412	356	5	online	online	X
ijassa-1412	356	6	]	]	X
ijassa-1412	356	7	.	.	PUNCT
ijassa-1412	357	1	available	available	ADJ
ijassa-1412	357	2	:	:	PUNCT
ijassa-1412	357	3	https://github.com/fchollet/keras	https://github.com/fchollet/keras	PROPN
ijassa-1412	357	4	.	.	PUNCT
ijassa-1412	358	1	30	30	NUM
ijassa-1412	358	2	.	.	X
ijassa-1412	359	1	bergstra	bergstra	PROPN
ijassa-1412	359	2	,	,	PUNCT
ijassa-1412	359	3	j.	j.	PROPN
ijassa-1412	359	4	,	,	PUNCT
ijassa-1412	359	5	breuleux	breuleux	PROPN
ijassa-1412	359	6	,	,	PUNCT
ijassa-1412	359	7	o.	o.	PROPN
ijassa-1412	359	8	,	,	PUNCT
ijassa-1412	359	9	bastien	bastien	PROPN
ijassa-1412	359	10	,	,	PUNCT
ijassa-1412	359	11	f.	f.	PROPN
ijassa-1412	359	12	,	,	PUNCT
ijassa-1412	359	13	lamblin	lamblin	PROPN
ijassa-1412	359	14	,	,	PUNCT
ijassa-1412	359	15	p.	p.	PROPN
ijassa-1412	359	16	,	,	PUNCT
ijassa-1412	359	17	pascanu	pascanu	PROPN
ijassa-1412	359	18	,	,	PUNCT
ijassa-1412	359	19	r.	r.	PROPN
ijassa-1412	359	20	,	,	PUNCT
ijassa-1412	359	21	et	et	NOUN
ijassa-1412	359	22	.	.	PUNCT
ijassa-1412	360	1	al	al	PROPN
ijassa-1412	360	2	.	.	PROPN
ijassa-1412	361	1	(	(	PUNCT
ijassa-1412	361	2	2010	2010	NUM
ijassa-1412	361	3	)	)	PUNCT
ijassa-1412	361	4	.	.	PUNCT
ijassa-1412	362	1	theano	theano	PROPN
ijassa-1412	362	2	:	:	PUNCT
ijassa-1412	362	3	a	a	DET
ijassa-1412	362	4	cpu	cpu	NOUN
ijassa-1412	362	5	and	and	CCONJ
ijassa-1412	362	6	gpu	gpu	PROPN
ijassa-1412	362	7	math	math	NOUN
ijassa-1412	362	8	compiler	compiler	NOUN
ijassa-1412	362	9	in	in	ADP
ijassa-1412	362	10	python	python	PROPN
ijassa-1412	362	11	,	,	PUNCT
ijassa-1412	362	12	proc	proc	NOUN
ijassa-1412	362	13	.	.	PUNCT
ijassa-1412	363	1	of	of	ADP
ijassa-1412	363	2	9th	9th	ADJ
ijassa-1412	363	3	python	python	NOUN
ijassa-1412	363	4	in	in	ADP
ijassa-1412	363	5	science	science	NOUN
ijassa-1412	363	6	conf	conf	NOUN
ijassa-1412	363	7	(	(	PUNCT
ijassa-1412	363	8	austin	austin	PROPN
ijassa-1412	363	9	,	,	PUNCT
ijassa-1412	363	10	tx	tx	PROPN
ijassa-1412	363	11	)	)	PUNCT
ijassa-1412	363	12	,	,	PUNCT
ijassa-1412	363	13	3–10	3–10	NOUN
ijassa-1412	363	14	.	.	PUNCT
ijassa-1412	364	1	31	31	NUM
ijassa-1412	364	2	.	.	X
ijassa-1412	365	1	zhang	zhang	PROPN
ijassa-1412	365	2	,	,	PUNCT
ijassa-1412	365	3	z.	z.	PROPN
ijassa-1412	365	4	&	&	CCONJ
ijassa-1412	365	5	sabuncu	sabuncu	PROPN
ijassa-1412	365	6	,	,	PUNCT
ijassa-1412	365	7	m.	m.	NOUN
ijassa-1412	365	8	(	(	PUNCT
ijassa-1412	365	9	2018	2018	NUM
ijassa-1412	365	10	)	)	PUNCT
ijassa-1412	365	11	.	.	PUNCT
ijassa-1412	366	1	generalized	generalize	VERB
ijassa-1412	366	2	cross	cross	PROPN
ijassa-1412	366	3	entropy	entropy	PROPN
ijassa-1412	366	4	loss	loss	NOUN
ijassa-1412	366	5	for	for	ADP
ijassa-1412	366	6	training	train	VERB
ijassa-1412	366	7	deep	deep	ADJ
ijassa-1412	366	8	neural	neural	ADJ
ijassa-1412	366	9	networks	network	NOUN
ijassa-1412	366	10	with	with	ADP
ijassa-1412	366	11	noisy	noisy	ADJ
ijassa-1412	366	12	labels	label	NOUN
ijassa-1412	366	13	,	,	PUNCT
ijassa-1412	366	14	arxiv	arxiv	NOUN
ijassa-1412	366	15	:	:	PUNCT
ijassa-1412	367	1	1805.07836	1805.07836	NUM
ijassa-1412	367	2	,	,	PUNCT
ijassa-1412	368	1	[	[	X
ijassa-1412	368	2	online	online	X
ijassa-1412	368	3	]	]	X
ijassa-1412	368	4	.	.	PUNCT
ijassa-1412	369	1	available	available	ADJ
ijassa-1412	369	2	:	:	PUNCT
ijassa-1412	369	3	https://arxiv.org/abs/1805.07836	https://arxiv.org/abs/1805.07836	NOUN