id	sid	tid	token	lemma	pos
cana-2205	1	1	communications	communication	NOUN
cana-2205	1	2	on	on	ADP
cana-2205	1	3	applied	apply	VERB
cana-2205	1	4	nonlinear	nonlinear	ADJ
cana-2205	1	5	analysis	analysis	NOUN
cana-2205	1	6	issn	issn	NOUN
cana-2205	1	7	:	:	PUNCT
cana-2205	1	8	1074	1074	NUM
cana-2205	1	9	-	-	PUNCT
cana-2205	1	10	133x	133x	NUM
cana-2205	1	11	vol	vol	NOUN
cana-2205	1	12	32	32	NUM
cana-2205	1	13	no	no	NOUN
cana-2205	1	14	.	.	PUNCT
cana-2205	2	1	1s	1s	NUM
cana-2205	2	2	(	(	PUNCT
cana-2205	2	3	2025	2025	NUM
cana-2205	2	4	)	)	PUNCT
cana-2205	2	5	412	412	NUM
cana-2205	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2205	2	7	3d	3d	NUM
cana-2205	2	8	convolutional	convolutional	ADJ
cana-2205	2	9	neural	neural	ADJ
cana-2205	2	10	networks	network	NOUN
cana-2205	2	11	for	for	ADP
cana-2205	2	12	video	video	NOUN
cana-2205	2	13	recognition	recognition	NOUN
cana-2205	2	14	mr	mr	PROPN
cana-2205	2	15	p.	p.	PROPN
cana-2205	2	16	sunil	sunil	PROPN
cana-2205	2	17	prem	prem	PROPN
cana-2205	2	18	kumar1	kumar1	PROPN
cana-2205	2	19	,	,	PUNCT
cana-2205	2	20	dr	dr	PROPN
cana-2205	2	21	.	.	PROPN
cana-2205	2	22	pokkuluri	pokkuluri	PROPN
cana-2205	2	23	kiran	kiran	PROPN
cana-2205	2	24	sree2	sree2	PROPN
cana-2205	2	25	,	,	PUNCT
cana-2205	2	26	dr	dr	PROPN
cana-2205	2	27	sssn	sssn	PROPN
cana-2205	2	28	usha	usha	PROPN
cana-2205	2	29	devi	devi	PROPN
cana-2205	2	30	n3	n3	PROPN
cana-2205	2	31	1,2	1,2	NUM
cana-2205	2	32	department	department	NOUN
cana-2205	2	33	of	of	ADP
cana-2205	2	34	computer	computer	NOUN
cana-2205	2	35	science	science	NOUN
cana-2205	2	36	and	and	CCONJ
cana-2205	2	37	engineering	engineering	NOUN
cana-2205	2	38	,	,	PUNCT
cana-2205	2	39	shri	shri	PROPN
cana-2205	2	40	vishnu	vishnu	PROPN
cana-2205	2	41	engineering	engineering	PROPN
cana-2205	2	42	college	college	NOUN
cana-2205	2	43	for	for	ADP
cana-2205	2	44	women	woman	NOUN
cana-2205	2	45	,	,	PUNCT
cana-2205	2	46	bhimavaram	bhimavaram	PROPN
cana-2205	2	47	,	,	PUNCT
cana-2205	2	48	sunilpremnelson@gmail.com	sunilpremnelson@gmail.com	PROPN
cana-2205	2	49	,	,	PUNCT
cana-2205	2	50	drkiransree@gmail.com	drkiransree@gmail.com	X
cana-2205	2	51	3	3	NUM
cana-2205	2	52	department	department	NOUN
cana-2205	2	53	of	of	ADP
cana-2205	2	54	computer	computer	NOUN
cana-2205	2	55	science	science	NOUN
cana-2205	2	56	and	and	CCONJ
cana-2205	2	57	engineering	engineering	NOUN
cana-2205	2	58	,	,	PUNCT
cana-2205	2	59	university	university	NOUN
cana-2205	2	60	college	college	NOUN
cana-2205	2	61	of	of	ADP
cana-2205	2	62	engineering	engineering	PROPN
cana-2205	2	63	,	,	PUNCT
cana-2205	2	64	jntu	jntu	PROPN
cana-2205	2	65	kakinada	kakinada	PROPN
cana-2205	2	66	,	,	PUNCT
cana-2205	2	67	ushaucek@gmail.com	ushaucek@gmail.com	PROPN
cana-2205	2	68	article	article	NOUN
cana-2205	2	69	history	history	NOUN
cana-2205	2	70	:	:	PUNCT
cana-2205	2	71	received	receive	VERB
cana-2205	2	72	:	:	PUNCT
cana-2205	2	73	22	22	NUM
cana-2205	2	74	-	-	SYM
cana-2205	2	75	08	08	NUM
cana-2205	2	76	-	-	PUNCT
cana-2205	2	77	2024	2024	NUM
cana-2205	2	78	revised	revise	VERB
cana-2205	2	79	:	:	PUNCT
cana-2205	2	80	03	03	NUM
cana-2205	2	81	-	-	SYM
cana-2205	2	82	10	10	NUM
cana-2205	2	83	-	-	PUNCT
cana-2205	2	84	2024	2024	NUM
cana-2205	2	85	accepted	accept	VERB
cana-2205	2	86	:	:	PUNCT
cana-2205	2	87	21	21	NUM
cana-2205	2	88	-	-	SYM
cana-2205	2	89	10	10	NUM
cana-2205	2	90	-	-	PUNCT
cana-2205	2	91	2024	2024	NUM
cana-2205	2	92	abstract	abstract	NOUN
cana-2205	2	93	:	:	PUNCT
cana-2205	2	94	3d	3d	PROPN
cana-2205	2	95	cnns	cnn	NOUN
cana-2205	2	96	have	have	AUX
cana-2205	2	97	proven	prove	VERB
cana-2205	2	98	to	to	PART
cana-2205	2	99	be	be	AUX
cana-2205	2	100	an	an	DET
cana-2205	2	101	effective	effective	ADJ
cana-2205	2	102	technique	technique	NOUN
cana-2205	2	103	for	for	ADP
cana-2205	2	104	analysing	analyse	VERB
cana-2205	2	105	spatiotemporal	spatiotemporal	ADJ
cana-2205	2	106	data	datum	NOUN
cana-2205	2	107	particularly	particularly	ADV
cana-2205	2	108	in	in	ADP
cana-2205	2	109	video	video	NOUN
cana-2205	2	110	recognition	recognition	NOUN
cana-2205	2	111	.	.	PUNCT
cana-2205	3	1	by	by	ADP
cana-2205	3	2	applying	apply	VERB
cana-2205	3	3	convolutions	convolution	NOUN
cana-2205	3	4	across	across	ADP
cana-2205	3	5	consecutive	consecutive	ADJ
cana-2205	3	6	video	video	NOUN
cana-2205	3	7	frames	frame	NOUN
cana-2205	3	8	,	,	PUNCT
cana-2205	3	9	3d	3d	PROPN
cana-2205	3	10	cnns	cnns	PROPN
cana-2205	3	11	take	take	VERB
cana-2205	3	12	into	into	ADP
cana-2205	3	13	account	account	NOUN
cana-2205	3	14	both	both	CCONJ
cana-2205	3	15	spatial	spatial	ADJ
cana-2205	3	16	and	and	CCONJ
cana-2205	3	17	temporal	temporal	ADJ
cana-2205	3	18	dimensions	dimension	NOUN
cana-2205	3	19	,	,	PUNCT
cana-2205	3	20	in	in	ADP
cana-2205	3	21	contrast	contrast	NOUN
cana-2205	3	22	to	to	ADP
cana-2205	3	23	typical	typical	ADJ
cana-2205	3	24	2d	2d	PROPN
cana-2205	3	25	cnns	cnn	NOUN
cana-2205	3	26	that	that	PRON
cana-2205	3	27	process	process	NOUN
cana-2205	3	28	frames	frame	VERB
cana-2205	3	29	one	one	NUM
cana-2205	3	30	at	at	ADP
cana-2205	3	31	a	a	DET
cana-2205	3	32	time	time	NOUN
cana-2205	3	33	.	.	PUNCT
cana-2205	4	1	this	this	PRON
cana-2205	4	2	makes	make	VERB
cana-2205	4	3	the	the	DET
cana-2205	4	4	network	network	NOUN
cana-2205	4	5	extremely	extremely	ADV
cana-2205	4	6	useful	useful	ADJ
cana-2205	4	7	for	for	ADP
cana-2205	4	8	comprehending	comprehending	ADJ
cana-2205	4	9	motion	motion	NOUN
cana-2205	4	10	and	and	CCONJ
cana-2205	4	11	temporal	temporal	ADJ
cana-2205	4	12	patterns	pattern	NOUN
cana-2205	4	13	since	since	SCONJ
cana-2205	4	14	it	it	PRON
cana-2205	4	15	enables	enable	VERB
cana-2205	4	16	it	it	PRON
cana-2205	4	17	to	to	PART
cana-2205	4	18	record	record	VERB
cana-2205	4	19	both	both	CCONJ
cana-2205	4	20	static	static	ADJ
cana-2205	4	21	visual	visual	ADJ
cana-2205	4	22	information	information	NOUN
cana-2205	4	23	and	and	CCONJ
cana-2205	4	24	the	the	DET
cana-2205	4	25	dynamic	dynamic	ADJ
cana-2205	4	26	changes	change	NOUN
cana-2205	4	27	between	between	ADP
cana-2205	4	28	frames	frame	NOUN
cana-2205	4	29	.	.	PUNCT
cana-2205	5	1	robust	robust	ADJ
cana-2205	5	2	computational	computational	ADJ
cana-2205	5	3	resources	resource	NOUN
cana-2205	5	4	,	,	PUNCT
cana-2205	5	5	significant	significant	ADJ
cana-2205	5	6	labelled	label	VERB
cana-2205	5	7	video	video	NOUN
cana-2205	5	8	data	datum	NOUN
cana-2205	5	9	,	,	PUNCT
cana-2205	5	10	and	and	CCONJ
cana-2205	5	11	advanced	advanced	ADJ
cana-2205	5	12	regularization	regularization	NOUN
cana-2205	5	13	techniques	technique	NOUN
cana-2205	5	14	are	be	AUX
cana-2205	5	15	necessary	necessary	ADJ
cana-2205	5	16	for	for	ADP
cana-2205	5	17	the	the	DET
cana-2205	5	18	efficient	efficient	ADJ
cana-2205	5	19	training	training	NOUN
cana-2205	5	20	of	of	ADP
cana-2205	5	21	3d	3d	PROPN
cana-2205	5	22	cnns	cnn	NOUN
cana-2205	5	23	.	.	PUNCT
cana-2205	6	1	however	however	ADV
cana-2205	6	2	,	,	PUNCT
cana-2205	6	3	3d	3d	PROPN
cana-2205	6	4	cnns	cnns	PROPN
cana-2205	6	5	'	'	PART
cana-2205	6	6	capacity	capacity	NOUN
cana-2205	6	7	to	to	PART
cana-2205	6	8	incorporate	incorporate	VERB
cana-2205	6	9	feature	feature	NOUN
cana-2205	6	10	learning	learn	VERB
cana-2205	6	11	throughout	throughout	ADP
cana-2205	6	12	time	time	NOUN
cana-2205	6	13	and	and	CCONJ
cana-2205	6	14	space	space	NOUN
cana-2205	6	15	presents	present	VERB
cana-2205	6	16	a	a	DET
cana-2205	6	17	number	number	NOUN
cana-2205	6	18	of	of	ADP
cana-2205	6	19	advantages	advantage	NOUN
cana-2205	6	20	over	over	ADP
cana-2205	6	21	conventional	conventional	ADJ
cana-2205	6	22	techniques	technique	NOUN
cana-2205	6	23	,	,	PUNCT
cana-2205	6	24	establishing	establish	VERB
cana-2205	6	25	them	they	PRON
cana-2205	6	26	as	as	ADP
cana-2205	6	27	a	a	DET
cana-2205	6	28	key	key	ADJ
cana-2205	6	29	technology	technology	NOUN
cana-2205	6	30	in	in	ADP
cana-2205	6	31	the	the	DET
cana-2205	6	32	advancement	advancement	NOUN
cana-2205	6	33	of	of	ADP
cana-2205	6	34	video	video	NOUN
cana-2205	6	35	analysis	analysis	NOUN
cana-2205	6	36	skills	skill	NOUN
cana-2205	6	37	.	.	PUNCT
cana-2205	7	1	we	we	PRON
cana-2205	7	2	have	have	AUX
cana-2205	7	3	measured	measure	VERB
cana-2205	7	4	the	the	DET
cana-2205	7	5	efficiency	efficiency	NOUN
cana-2205	7	6	of	of	ADP
cana-2205	7	7	the	the	DET
cana-2205	7	8	classifier	classifier	NOUN
cana-2205	7	9	with	with	ADP
cana-2205	7	10	various	various	ADJ
cana-2205	7	11	parameters	parameter	NOUN
cana-2205	7	12	accuracy	accuracy	NOUN
cana-2205	7	13	,	,	PUNCT
cana-2205	7	14	precision	precision	NOUN
cana-2205	7	15	,	,	PUNCT
cana-2205	7	16	recall	recall	NOUN
cana-2205	7	17	,	,	PUNCT
cana-2205	7	18	area	area	NOUN
cana-2205	7	19	under	under	ADP
cana-2205	7	20	the	the	DET
cana-2205	7	21	roc	roc	PROPN
cana-2205	7	22	curve	curve	NOUN
cana-2205	7	23	,	,	PUNCT
cana-2205	7	24	mean	mean	ADJ
cana-2205	7	25	average	average	ADJ
cana-2205	7	26	precision	precision	NOUN
cana-2205	7	27	and	and	CCONJ
cana-2205	7	28	loss	loss	NOUN
cana-2205	7	29	metrics	metric	NOUN
cana-2205	7	30	.	.	PUNCT
cana-2205	8	1	the	the	DET
cana-2205	8	2	proposed	propose	VERB
cana-2205	8	3	classifier	classifier	NOUN
cana-2205	8	4	reports	report	VERB
cana-2205	8	5	an	an	DET
cana-2205	8	6	accuracy	accuracy	NOUN
cana-2205	8	7	of	of	ADP
cana-2205	8	8	98.64	98.64	NUM
cana-2205	8	9	%	%	NOUN
cana-2205	8	10	which	which	PRON
cana-2205	8	11	is	be	AUX
cana-2205	8	12	promising	promise	VERB
cana-2205	8	13	.	.	PUNCT
cana-2205	9	1	keywords	keyword	NOUN
cana-2205	9	2	:	:	PUNCT
cana-2205	9	3	3d	3d	NUM
cana-2205	9	4	cnn	cnn	PROPN
cana-2205	9	5	’s	’s	PART
cana-2205	9	6	,	,	PUNCT
cana-2205	9	7	ml	ml	ADP
cana-2205	9	8	,	,	PUNCT
cana-2205	9	9	video	video	NOUN
cana-2205	9	10	processing	processing	NOUN
cana-2205	9	11	,	,	PUNCT
cana-2205	9	12	neural	neural	ADJ
cana-2205	9	13	networks	network	NOUN
cana-2205	9	14	.	.	PUNCT
cana-2205	10	1	1	1	X
cana-2205	10	2	.	.	X
cana-2205	10	3	introduction	introduction	NOUN
cana-2205	10	4	in	in	ADP
cana-2205	10	5	a	a	DET
cana-2205	10	6	variety	variety	NOUN
cana-2205	10	7	of	of	ADP
cana-2205	10	8	industries	industry	NOUN
cana-2205	10	9	,	,	PUNCT
cana-2205	10	10	including	include	VERB
cana-2205	10	11	surveillance	surveillance	NOUN
cana-2205	10	12	,	,	PUNCT
cana-2205	10	13	medical	medical	ADJ
cana-2205	10	14	,	,	PUNCT
cana-2205	10	15	entertainment	entertainment	NOUN
cana-2205	10	16	,	,	PUNCT
cana-2205	10	17	autonomous	autonomous	ADJ
cana-2205	10	18	cars	car	NOUN
cana-2205	10	19	,	,	PUNCT
cana-2205	10	20	and	and	CCONJ
cana-2205	10	21	humancomputer	humancomputer	NOUN
cana-2205	10	22	interface	interface	NOUN
cana-2205	10	23	,	,	PUNCT
cana-2205	10	24	video	video	NOUN
cana-2205	10	25	recognition	recognition	NOUN
cana-2205	10	26	is	be	AUX
cana-2205	10	27	essential[1	essential[1	NOUN
cana-2205	10	28	]	]	PUNCT
cana-2205	10	29	.	.	PUNCT
cana-2205	11	1	through	through	ADP
cana-2205	11	2	automated	automate	VERB
cana-2205	11	3	analysis	analysis	NOUN
cana-2205	11	4	and	and	CCONJ
cana-2205	11	5	classification	classification	NOUN
cana-2205	11	6	of	of	ADP
cana-2205	11	7	objects	object	NOUN
cana-2205	11	8	,	,	PUNCT
cana-2205	11	9	activities	activity	NOUN
cana-2205	11	10	,	,	PUNCT
cana-2205	11	11	or	or	CCONJ
cana-2205	11	12	events	event	NOUN
cana-2205	11	13	in	in	ADP
cana-2205	11	14	video	video	NOUN
cana-2205	11	15	sequences	sequence	NOUN
cana-2205	11	16	,	,	PUNCT
cana-2205	11	17	proactive	proactive	ADJ
cana-2205	11	18	monitoring	monitoring	NOUN
cana-2205	11	19	,	,	PUNCT
cana-2205	11	20	automation	automation	NOUN
cana-2205	11	21	,	,	PUNCT
cana-2205	11	22	and	and	CCONJ
cana-2205	11	23	decisionmaking	decisionmake	VERB
cana-2205	11	24	are	be	AUX
cana-2205	11	25	made	make	VERB
cana-2205	11	26	possible	possible	ADJ
cana-2205	11	27	.	.	PUNCT
cana-2205	12	1	video	video	NOUN
cana-2205	12	2	recognition	recognition	NOUN
cana-2205	12	3	improves	improve	VERB
cana-2205	12	4	security	security	NOUN
cana-2205	12	5	in	in	ADP
cana-2205	12	6	surveillance	surveillance	NOUN
cana-2205	12	7	by	by	ADP
cana-2205	12	8	identifying	identify	VERB
cana-2205	12	9	people	people	NOUN
cana-2205	12	10	or	or	CCONJ
cana-2205	12	11	spotting	spot	VERB
cana-2205	12	12	questionable	questionable	ADJ
cana-2205	12	13	activity	activity	NOUN
cana-2205	12	14	.	.	PUNCT
cana-2205	13	1	it	it	PRON
cana-2205	13	2	supports	support	VERB
cana-2205	13	3	medical	medical	ADJ
cana-2205	13	4	imaging	imaging	NOUN
cana-2205	13	5	analysis	analysis	NOUN
cana-2205	13	6	in	in	ADP
cana-2205	13	7	the	the	DET
cana-2205	13	8	healthcare	healthcare	NOUN
cana-2205	13	9	industry	industry	NOUN
cana-2205	13	10	,	,	PUNCT
cana-2205	13	11	facilitating	facilitate	VERB
cana-2205	13	12	early	early	ADJ
cana-2205	13	13	disease	disease	NOUN
cana-2205	13	14	detection	detection	NOUN
cana-2205	13	15	and	and	CCONJ
cana-2205	13	16	treatment	treatment	NOUN
cana-2205	13	17	planning	planning	NOUN
cana-2205	13	18	.	.	PUNCT
cana-2205	14	1	video	video	NOUN
cana-2205	14	2	recognition	recognition	NOUN
cana-2205	14	3	is	be	AUX
cana-2205	14	4	used	use	VERB
cana-2205	14	5	by	by	ADP
cana-2205	14	6	entertainment	entertainment	NOUN
cana-2205	14	7	platforms	platform	NOUN
cana-2205	14	8	to	to	PART
cana-2205	14	9	improve	improve	VERB
cana-2205	14	10	user	user	NOUN
cana-2205	14	11	experience	experience	NOUN
cana-2205	14	12	and	and	CCONJ
cana-2205	14	13	personalise	personalise	VERB
cana-2205	14	14	content	content	NOUN
cana-2205	14	15	recommendations[2	recommendations[2	PROPN
cana-2205	14	16	]	]	PUNCT
cana-2205	14	17	.	.	PUNCT
cana-2205	15	1	it	it	PRON
cana-2205	15	2	permits	permit	VERB
cana-2205	15	3	realtime	realtime	ADJ
cana-2205	15	4	environment	environment	NOUN
cana-2205	15	5	awareness	awareness	NOUN
cana-2205	15	6	in	in	ADP
cana-2205	15	7	autonomous	autonomous	ADJ
cana-2205	15	8	cars	car	NOUN
cana-2205	15	9	,	,	PUNCT
cana-2205	15	10	enabling	enable	VERB
cana-2205	15	11	safe	safe	ADJ
cana-2205	15	12	navigation	navigation	NOUN
cana-2205	15	13	and	and	CCONJ
cana-2205	15	14	collision	collision	NOUN
cana-2205	15	15	avoidance	avoidance	NOUN
cana-2205	15	16	.	.	PUNCT
cana-2205	16	1	all	all	DET
cana-2205	16	2	things	thing	NOUN
cana-2205	16	3	considered	consider	VERB
cana-2205	16	4	,	,	PUNCT
cana-2205	16	5	video	video	NOUN
cana-2205	16	6	recognition	recognition	NOUN
cana-2205	16	7	gives	give	VERB
cana-2205	16	8	systems	system	NOUN
cana-2205	16	9	the	the	DET
cana-2205	16	10	ability	ability	NOUN
cana-2205	16	11	to	to	PART
cana-2205	16	12	comprehend	comprehend	VERB
cana-2205	16	13	and	and	CCONJ
cana-2205	16	14	analyses	analyse	VERB
cana-2205	16	15	visual	visual	ADJ
cana-2205	16	16	data	datum	NOUN
cana-2205	16	17	,	,	PUNCT
cana-2205	16	18	opening	open	VERB
cana-2205	16	19	the	the	DET
cana-2205	16	20	door	door	NOUN
cana-2205	16	21	to	to	ADP
cana-2205	16	22	intelligent	intelligent	ADJ
cana-2205	16	23	automation	automation	NOUN
cana-2205	16	24	and	and	CCONJ
cana-2205	16	25	effective	effective	ADJ
cana-2205	16	26	decision	decision	NOUN
cana-2205	16	27	-	-	PUNCT
cana-2205	16	28	making	making	NOUN
cana-2205	16	29	in	in	ADP
cana-2205	16	30	a	a	DET
cana-2205	16	31	variety	variety	NOUN
cana-2205	16	32	of	of	ADP
cana-2205	16	33	realworld	realworld	PROPN
cana-2205	16	34	situations[3	situations[3	PROPN
cana-2205	16	35	]	]	PUNCT
cana-2205	16	36	.	.	PUNCT
cana-2205	17	1	convolutional	convolutional	ADJ
cana-2205	17	2	neural	neural	ADJ
cana-2205	17	3	networks	network	NOUN
cana-2205	17	4	(	(	PUNCT
cana-2205	17	5	cnns	cnns	PROPN
cana-2205	17	6	)	)	PUNCT
cana-2205	17	7	automatically	automatically	ADV
cana-2205	17	8	extract	extract	VERB
cana-2205	17	9	hierarchical	hierarchical	ADJ
cana-2205	17	10	features	feature	NOUN
cana-2205	17	11	from	from	ADP
cana-2205	17	12	video	video	NOUN
cana-2205	17	13	data	datum	NOUN
cana-2205	17	14	,	,	PUNCT
cana-2205	17	15	thereby	thereby	ADV
cana-2205	17	16	revolutionising	revolutionise	VERB
cana-2205	17	17	the	the	DET
cana-2205	17	18	field	field	NOUN
cana-2205	17	19	of	of	ADP
cana-2205	17	20	video	video	NOUN
cana-2205	17	21	recognition	recognition	NOUN
cana-2205	17	22	.	.	PUNCT
cana-2205	18	1	cnns	cnns	PROPN
cana-2205	18	2	identify	identify	VERB
cana-2205	18	3	objects	object	NOUN
cana-2205	18	4	,	,	PUNCT
cana-2205	18	5	activities	activity	NOUN
cana-2205	18	6	,	,	PUNCT
cana-2205	18	7	and	and	CCONJ
cana-2205	18	8	events	event	NOUN
cana-2205	18	9	in	in	ADP
cana-2205	18	10	films	film	NOUN
cana-2205	18	11	by	by	ADP
cana-2205	18	12	examining	examine	VERB
cana-2205	18	13	spatial	spatial	ADJ
cana-2205	18	14	and	and	CCONJ
cana-2205	18	15	temporal	temporal	ADJ
cana-2205	18	16	patterns	pattern	NOUN
cana-2205	18	17	[	[	X
cana-2205	18	18	4	4	NUM
cana-2205	18	19	]	]	PUNCT
cana-2205	18	20	.	.	PUNCT
cana-2205	19	1	they	they	PRON
cana-2205	19	2	perform	perform	VERB
cana-2205	19	3	exceptionally	exceptionally	ADV
cana-2205	19	4	well	well	ADV
cana-2205	19	5	in	in	ADP
cana-2205	19	6	tasks	task	NOUN
cana-2205	19	7	like	like	ADP
cana-2205	19	8	action	action	NOUN
cana-2205	19	9	identification	identification	NOUN
cana-2205	19	10	,	,	PUNCT
cana-2205	19	11	event	event	NOUN
cana-2205	19	12	detection	detection	NOUN
cana-2205	19	13	,	,	PUNCT
cana-2205	19	14	and	and	CCONJ
cana-2205	19	15	scene	scene	NOUN
cana-2205	19	16	interpretation	interpretation	NOUN
cana-2205	19	17	across	across	ADP
cana-2205	19	18	a	a	DET
cana-2205	19	19	variety	variety	NOUN
cana-2205	19	20	of	of	ADP
cana-2205	19	21	industries	industry	NOUN
cana-2205	19	22	,	,	PUNCT
cana-2205	19	23	including	include	VERB
cana-2205	19	24	autonomous	autonomous	ADJ
cana-2205	19	25	vehicles	vehicle	NOUN
cana-2205	19	26	,	,	PUNCT
cana-2205	19	27	healthcare	healthcare	PROPN
cana-2205	19	28	,	,	PUNCT
cana-2205	19	29	entertainment	entertainment	NOUN
cana-2205	19	30	,	,	PUNCT
cana-2205	19	31	and	and	CCONJ
cana-2205	19	32	surveillance	surveillance	NOUN
cana-2205	19	33	.	.	PUNCT
cana-2205	20	1	robust	robust	ADJ
cana-2205	20	2	video	video	NOUN
cana-2205	20	3	analysis	analysis	NOUN
cana-2205	20	4	is	be	AUX
cana-2205	20	5	made	make	VERB
cana-2205	20	6	possible	possible	ADJ
cana-2205	20	7	by	by	ADP
cana-2205	20	8	cnns	cnn	NOUN
cana-2205	20	9	'	'	PART
cana-2205	20	10	capacity	capacity	NOUN
cana-2205	20	11	to	to	PART
cana-2205	20	12	record	record	VERB
cana-2205	20	13	both	both	CCONJ
cana-2205	20	14	temporal	temporal	ADJ
cana-2205	20	15	and	and	CCONJ
cana-2205	20	16	spatial	spatial	ADJ
cana-2205	20	17	dynamics	dynamic	NOUN
cana-2205	20	18	,	,	PUNCT
cana-2205	20	19	which	which	PRON
cana-2205	20	20	gives	give	VERB
cana-2205	20	21	systems	system	NOUN
cana-2205	20	22	the	the	DET
cana-2205	20	23	ability	ability	NOUN
cana-2205	20	24	to	to	PART
cana-2205	20	25	automate	automate	VERB
cana-2205	20	26	procedures	procedure	NOUN
cana-2205	20	27	and	and	CCONJ
cana-2205	20	28	make	make	VERB
cana-2205	20	29	well	well	ADV
cana-2205	20	30	-	-	PUNCT
cana-2205	20	31	informed	inform	VERB
cana-2205	20	32	conclusions	conclusion	NOUN
cana-2205	20	33	.	.	PUNCT
cana-2205	21	1	cnns	cnns	PROPN
cana-2205	21	2	,	,	PUNCT
cana-2205	21	3	the	the	DET
cana-2205	21	4	foundation	foundation	NOUN
cana-2205	21	5	of	of	ADP
cana-2205	21	6	deep	deep	ADJ
cana-2205	21	7	learning	learning	NOUN
cana-2205	21	8	,	,	PUNCT
cana-2205	21	9	keep	keep	VERB
cana-2205	21	10	pushing	push	VERB
cana-2205	21	11	the	the	DET
cana-2205	21	12	boundaries	boundary	NOUN
cana-2205	21	13	of	of	ADP
cana-2205	21	14	video	video	NOUN
cana-2205	21	15	comprehension	comprehension	NOUN
cana-2205	21	16	,	,	PUNCT
cana-2205	21	17	encouraging	encourage	VERB
cana-2205	21	18	creativity	creativity	NOUN
cana-2205	21	19	and	and	CCONJ
cana-2205	21	20	improving	improve	VERB
cana-2205	21	21	performance	performance	NOUN
cana-2205	21	22	across	across	ADP
cana-2205	21	23	a	a	DET
cana-2205	21	24	range	range	NOUN
cana-2205	21	25	of	of	ADP
cana-2205	21	26	applications	application	NOUN
cana-2205	21	27	[	[	X
cana-2205	21	28	5	5	NUM
cana-2205	21	29	]	]	PUNCT
cana-2205	21	30	.	.	PUNCT
cana-2205	22	1	communications	communication	NOUN
cana-2205	22	2	on	on	ADP
cana-2205	22	3	applied	apply	VERB
cana-2205	22	4	nonlinear	nonlinear	ADJ
cana-2205	22	5	analysis	analysis	NOUN
cana-2205	22	6	issn	issn	NOUN
cana-2205	22	7	:	:	PUNCT
cana-2205	22	8	1074	1074	NUM
cana-2205	22	9	-	-	PUNCT
cana-2205	22	10	133x	133x	NUM
cana-2205	22	11	vol	vol	NOUN
cana-2205	22	12	32	32	NUM
cana-2205	22	13	no	no	NOUN
cana-2205	22	14	.	.	PUNCT
cana-2205	23	1	1s	1s	NUM
cana-2205	23	2	(	(	PUNCT
cana-2205	23	3	2025	2025	NUM
cana-2205	23	4	)	)	PUNCT
cana-2205	23	5	413	413	NUM
cana-2205	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2205	23	7	video	video	NOUN
cana-2205	23	8	recognition	recognition	NOUN
cana-2205	23	9	is	be	AUX
cana-2205	23	10	the	the	DET
cana-2205	23	11	automatic	automatic	ADJ
cana-2205	23	12	identification	identification	NOUN
cana-2205	23	13	and	and	CCONJ
cana-2205	23	14	classification	classification	NOUN
cana-2205	23	15	of	of	ADP
cana-2205	23	16	objects	object	NOUN
cana-2205	23	17	,	,	PUNCT
cana-2205	23	18	actions	action	NOUN
cana-2205	23	19	,	,	PUNCT
cana-2205	23	20	or	or	CCONJ
cana-2205	23	21	events	event	NOUN
cana-2205	23	22	in	in	ADP
cana-2205	23	23	video	video	NOUN
cana-2205	23	24	sequences	sequence	NOUN
cana-2205	23	25	.	.	PUNCT
cana-2205	24	1	it	it	PRON
cana-2205	24	2	is	be	AUX
cana-2205	24	3	widely	widely	ADV
cana-2205	24	4	used	use	VERB
cana-2205	24	5	in	in	ADP
cana-2205	24	6	surveillance	surveillance	NOUN
cana-2205	24	7	,	,	PUNCT
cana-2205	24	8	healthcare	healthcare	PROPN
cana-2205	24	9	,	,	PUNCT
cana-2205	24	10	entertainment	entertainment	NOUN
cana-2205	24	11	,	,	PUNCT
cana-2205	24	12	autonomous	autonomous	ADJ
cana-2205	24	13	cars	car	NOUN
cana-2205	24	14	,	,	PUNCT
cana-2205	24	15	and	and	CCONJ
cana-2205	24	16	human	human	ADJ
cana-2205	24	17	-	-	PUNCT
cana-2205	24	18	computer	computer	NOUN
cana-2205	24	19	interaction	interaction	NOUN
cana-2205	24	20	,	,	PUNCT
cana-2205	24	21	among	among	ADP
cana-2205	24	22	other	other	ADJ
cana-2205	24	23	disciplines	discipline	NOUN
cana-2205	24	24	[	[	X
cana-2205	24	25	6	6	NUM
cana-2205	24	26	]	]	PUNCT
cana-2205	24	27	.	.	PUNCT
cana-2205	25	1	videos	video	NOUN
cana-2205	25	2	,	,	PUNCT
cana-2205	25	3	as	as	SCONJ
cana-2205	25	4	opposed	oppose	VERB
cana-2205	25	5	to	to	ADP
cana-2205	25	6	still	still	ADV
cana-2205	25	7	photos	photo	NOUN
cana-2205	25	8	,	,	PUNCT
cana-2205	25	9	have	have	VERB
cana-2205	25	10	temporal	temporal	ADJ
cana-2205	25	11	dynamics	dynamic	NOUN
cana-2205	25	12	and	and	CCONJ
cana-2205	25	13	provide	provide	VERB
cana-2205	25	14	a	a	DET
cana-2205	25	15	multitude	multitude	NOUN
cana-2205	25	16	of	of	ADP
cana-2205	25	17	information	information	NOUN
cana-2205	25	18	that	that	PRON
cana-2205	25	19	can	can	AUX
cana-2205	25	20	be	be	AUX
cana-2205	25	21	used	use	VERB
cana-2205	25	22	to	to	PART
cana-2205	25	23	comprehend	comprehend	VERB
cana-2205	25	24	complicated	complicated	ADJ
cana-2205	25	25	real	real	ADJ
cana-2205	25	26	-	-	PUNCT
cana-2205	25	27	world	world	NOUN
cana-2205	25	28	situations	situation	NOUN
cana-2205	25	29	[	[	X
cana-2205	25	30	7	7	NUM
cana-2205	25	31	]	]	PUNCT
cana-2205	25	32	.	.	PUNCT
cana-2205	26	1	video	video	NOUN
cana-2205	26	2	analysis	analysis	NOUN
cana-2205	26	3	has	have	AUX
cana-2205	26	4	undergone	undergo	VERB
cana-2205	26	5	a	a	DET
cana-2205	26	6	revolution	revolution	NOUN
cana-2205	26	7	because	because	SCONJ
cana-2205	26	8	to	to	ADP
cana-2205	26	9	the	the	DET
cana-2205	26	10	development	development	NOUN
cana-2205	26	11	of	of	ADP
cana-2205	26	12	deep	deep	ADJ
cana-2205	26	13	learning	learning	NOUN
cana-2205	26	14	,	,	PUNCT
cana-2205	26	15	namely	namely	ADV
cana-2205	26	16	convolutional	convolutional	ADJ
cana-2205	26	17	neural	neural	ADJ
cana-2205	26	18	networks	network	NOUN
cana-2205	26	19	(	(	PUNCT
cana-2205	26	20	cnns	cnns	PROPN
cana-2205	26	21	)	)	PUNCT
cana-2205	26	22	,	,	PUNCT
cana-2205	26	23	which	which	PRON
cana-2205	26	24	allow	allow	VERB
cana-2205	26	25	for	for	ADP
cana-2205	26	26	the	the	DET
cana-2205	26	27	automatic	automatic	ADJ
cana-2205	26	28	extraction	extraction	NOUN
cana-2205	26	29	of	of	ADP
cana-2205	26	30	hierarchical	hierarchical	ADJ
cana-2205	26	31	features	feature	NOUN
cana-2205	26	32	from	from	ADP
cana-2205	26	33	raw	raw	ADJ
cana-2205	26	34	pixel	pixel	PROPN
cana-2205	26	35	data	data	PROPN
cana-2205	26	36	.	.	PUNCT
cana-2205	27	1	the	the	DET
cana-2205	27	2	capacity	capacity	NOUN
cana-2205	27	3	of	of	ADP
cana-2205	27	4	traditional	traditional	ADJ
cana-2205	27	5	approaches	approach	NOUN
cana-2205	27	6	to	to	PART
cana-2205	27	7	capture	capture	VERB
cana-2205	27	8	complex	complex	ADJ
cana-2205	27	9	patterns	pattern	NOUN
cana-2205	27	10	in	in	ADP
cana-2205	27	11	video	video	NOUN
cana-2205	27	12	data	datum	NOUN
cana-2205	27	13	was	be	AUX
cana-2205	27	14	limited	limit	VERB
cana-2205	27	15	since	since	SCONJ
cana-2205	27	16	they	they	PRON
cana-2205	27	17	depended	depend	VERB
cana-2205	27	18	on	on	ADP
cana-2205	27	19	manually	manually	ADV
cana-2205	27	20	created	create	VERB
cana-2205	27	21	features	feature	NOUN
cana-2205	27	22	and	and	CCONJ
cana-2205	27	23	shallow	shallow	ADJ
cana-2205	27	24	classifiers	classifier	NOUN
cana-2205	27	25	[	[	X
cana-2205	27	26	8	8	NUM
cana-2205	27	27	]	]	PUNCT
cana-2205	27	28	.	.	PUNCT
cana-2205	28	1	conversely	conversely	ADV
cana-2205	28	2	,	,	PUNCT
cana-2205	28	3	deep	deep	ADJ
cana-2205	28	4	learning	learning	NOUN
cana-2205	28	5	models	model	NOUN
cana-2205	28	6	have	have	AUX
cana-2205	28	7	achieved	achieve	VERB
cana-2205	28	8	unprecedented	unprecedented	ADJ
cana-2205	28	9	success	success	NOUN
cana-2205	28	10	in	in	ADP
cana-2205	28	11	video	video	NOUN
cana-2205	28	12	recognition	recognition	NOUN
cana-2205	28	13	due	due	ADP
cana-2205	28	14	to	to	ADP
cana-2205	28	15	their	their	PRON
cana-2205	28	16	ability	ability	NOUN
cana-2205	28	17	to	to	PART
cana-2205	28	18	learn	learn	VERB
cana-2205	28	19	hierarchical	hierarchical	ADJ
cana-2205	28	20	representations	representation	NOUN
cana-2205	28	21	[	[	X
cana-2205	28	22	9	9	NUM
cana-2205	28	23	]	]	PUNCT
cana-2205	28	24	.	.	PUNCT
cana-2205	29	1	a	a	DET
cana-2205	29	2	specific	specific	ADJ
cana-2205	29	3	kind	kind	NOUN
cana-2205	29	4	of	of	ADP
cana-2205	29	5	deep	deep	ADJ
cana-2205	29	6	learning	learning	NOUN
cana-2205	29	7	models	model	NOUN
cana-2205	29	8	created	create	VERB
cana-2205	29	9	especially	especially	ADV
cana-2205	29	10	for	for	ADP
cana-2205	29	11	processing	process	VERB
cana-2205	29	12	spatiotemporal	spatiotemporal	ADJ
cana-2205	29	13	data	datum	NOUN
cana-2205	29	14	,	,	PUNCT
cana-2205	29	15	such	such	ADJ
cana-2205	29	16	movies	movie	NOUN
cana-2205	29	17	,	,	PUNCT
cana-2205	29	18	are	be	AUX
cana-2205	29	19	3d	3d	NUM
cana-2205	29	20	convolutional	convolutional	ADJ
cana-2205	29	21	neural	neural	ADJ
cana-2205	29	22	networks	network	NOUN
cana-2205	29	23	(	(	PUNCT
cana-2205	29	24	3d	3d	PROPN
cana-2205	29	25	cnns	cnns	PROPN
cana-2205	29	26	)	)	PUNCT
cana-2205	30	1	[	[	X
cana-2205	30	2	10	10	NUM
cana-2205	30	3	]	]	PUNCT
cana-2205	30	4	.	.	PUNCT
cana-2205	31	1	3d	3d	PROPN
cana-2205	31	2	cnns	cnns	PROPN
cana-2205	31	3	include	include	VERB
cana-2205	31	4	a	a	DET
cana-2205	31	5	temporal	temporal	ADJ
cana-2205	31	6	dimension	dimension	NOUN
cana-2205	31	7	,	,	PUNCT
cana-2205	31	8	which	which	PRON
cana-2205	31	9	enables	enable	VERB
cana-2205	31	10	them	they	PRON
cana-2205	31	11	to	to	PART
cana-2205	31	12	simultaneously	simultaneously	ADV
cana-2205	31	13	capture	capture	VERB
cana-2205	31	14	spatial	spatial	ADJ
cana-2205	31	15	and	and	CCONJ
cana-2205	31	16	temporal	temporal	ADJ
cana-2205	31	17	elements	element	NOUN
cana-2205	31	18	,	,	PUNCT
cana-2205	31	19	in	in	ADP
cana-2205	31	20	contrast	contrast	NOUN
cana-2205	31	21	to	to	ADP
cana-2205	31	22	their	their	PRON
cana-2205	31	23	2d	2d	NUM
cana-2205	31	24	counterparts	counterpart	NOUN
cana-2205	31	25	[	[	X
cana-2205	31	26	11	11	NUM
cana-2205	31	27	]	]	PUNCT
cana-2205	31	28	,	,	PUNCT
cana-2205	31	29	which	which	PRON
cana-2205	31	30	only	only	ADV
cana-2205	31	31	process	process	VERB
cana-2205	31	32	spatial	spatial	ADJ
cana-2205	31	33	information	information	NOUN
cana-2205	31	34	.	.	PUNCT
cana-2205	32	1	this	this	PRON
cana-2205	32	2	allows	allow	VERB
cana-2205	32	3	them	they	PRON
cana-2205	32	4	to	to	PART
cana-2205	32	5	capture	capture	VERB
cana-2205	32	6	dynamic	dynamic	ADJ
cana-2205	32	7	changes	change	NOUN
cana-2205	32	8	over	over	ADP
cana-2205	32	9	time	time	NOUN
cana-2205	32	10	and	and	CCONJ
cana-2205	32	11	analyses	analyse	VERB
cana-2205	32	12	video	video	NOUN
cana-2205	32	13	sequences	sequence	NOUN
cana-2205	32	14	holistically	holistically	ADV
cana-2205	32	15	.	.	PUNCT
cana-2205	33	1	2	2	X
cana-2205	33	2	.	.	X
cana-2205	33	3	literature	literature	NOUN
cana-2205	33	4	survey	survey	VERB
cana-2205	33	5	a	a	DET
cana-2205	33	6	notable	notable	ADJ
cana-2205	33	7	advancement	advancement	NOUN
cana-2205	33	8	in	in	ADP
cana-2205	33	9	the	the	DET
cana-2205	33	10	field	field	NOUN
cana-2205	33	11	of	of	ADP
cana-2205	33	12	computer	computer	NOUN
cana-2205	33	13	vision	vision	NOUN
cana-2205	33	14	is	be	AUX
cana-2205	33	15	the	the	DET
cana-2205	33	16	use	use	NOUN
cana-2205	33	17	of	of	ADP
cana-2205	33	18	3d	3d	NUM
cana-2205	33	19	convolutional	convolutional	ADJ
cana-2205	33	20	neural	neural	ADJ
cana-2205	33	21	networks	network	NOUN
cana-2205	33	22	(	(	PUNCT
cana-2205	33	23	3d	3d	PROPN
cana-2205	33	24	cnns	cnns	PROPN
cana-2205	33	25	)	)	PUNCT
cana-2205	33	26	for	for	ADP
cana-2205	33	27	video	video	NOUN
cana-2205	33	28	recognition	recognition	NOUN
cana-2205	34	1	[	[	X
cana-2205	34	2	12],[13	12],[13	NOUN
cana-2205	34	3	]	]	PUNCT
cana-2205	34	4	.	.	PUNCT
cana-2205	35	1	with	with	ADP
cana-2205	35	2	a	a	DET
cana-2205	35	3	particular	particular	ADJ
cana-2205	35	4	focus	focus	NOUN
cana-2205	35	5	on	on	ADP
cana-2205	35	6	its	its	PRON
cana-2205	35	7	uses	use	NOUN
cana-2205	35	8	in	in	ADP
cana-2205	35	9	the	the	DET
cana-2205	35	10	identification	identification	NOUN
cana-2205	35	11	,	,	PUNCT
cana-2205	35	12	analysis	analysis	NOUN
cana-2205	35	13	,	,	PUNCT
cana-2205	35	14	and	and	CCONJ
cana-2205	35	15	interpretation	interpretation	NOUN
cana-2205	35	16	of	of	ADP
cana-2205	35	17	video	video	NOUN
cana-2205	35	18	data	datum	NOUN
cana-2205	35	19	,	,	PUNCT
cana-2205	35	20	this	this	DET
cana-2205	35	21	literature	literature	NOUN
cana-2205	35	22	review	review	NOUN
cana-2205	35	23	explores	explore	VERB
cana-2205	35	24	the	the	DET
cana-2205	35	25	fundamental	fundamental	ADJ
cana-2205	35	26	studies	study	NOUN
cana-2205	35	27	,	,	PUNCT
cana-2205	35	28	advancements	advancement	NOUN
cana-2205	35	29	,	,	PUNCT
cana-2205	35	30	and	and	CCONJ
cana-2205	35	31	current	current	ADJ
cana-2205	35	32	developments	development	NOUN
cana-2205	35	33	in	in	ADP
cana-2205	35	34	3d	3d	PROPN
cana-2205	35	35	cnns	cnns	PROPN
cana-2205	35	36	.	.	PUNCT
cana-2205	36	1	cnns	cnns	PROPN
cana-2205	36	2	revolutionized	revolutionize	VERB
cana-2205	36	3	image	image	NOUN
cana-2205	36	4	analysis	analysis	NOUN
cana-2205	36	5	,	,	PUNCT
cana-2205	36	6	and	and	CCONJ
cana-2205	36	7	its	its	PRON
cana-2205	36	8	development	development	NOUN
cana-2205	36	9	to	to	ADP
cana-2205	36	10	3d	3d	PROPN
cana-2205	36	11	cnns	cnns	PROPN
cana-2205	36	12	has	have	AUX
cana-2205	36	13	revolutionized	revolutionize	VERB
cana-2205	36	14	video	video	NOUN
cana-2205	36	15	identification	identification	NOUN
cana-2205	36	16	as	as	ADV
cana-2205	36	17	well	well	ADV
cana-2205	36	18	.	.	PUNCT
cana-2205	37	1	3d	3d	PROPN
cana-2205	37	2	cnns	cnns	PROPN
cana-2205	37	3	take	take	VERB
cana-2205	37	4	temporal	temporal	ADJ
cana-2205	37	5	dynamics	dynamic	NOUN
cana-2205	37	6	into	into	ADP
cana-2205	37	7	account	account	NOUN
cana-2205	37	8	in	in	ADP
cana-2205	37	9	addition	addition	NOUN
cana-2205	37	10	to	to	ADP
cana-2205	37	11	spatial	spatial	ADJ
cana-2205	37	12	information	information	NOUN
cana-2205	37	13	,	,	PUNCT
cana-2205	37	14	which	which	PRON
cana-2205	37	15	makes	make	VERB
cana-2205	37	16	them	they	PRON
cana-2205	37	17	very	very	ADV
cana-2205	37	18	useful	useful	ADJ
cana-2205	37	19	for	for	ADP
cana-2205	37	20	motion	motion	NOUN
cana-2205	37	21	analysis	analysis	NOUN
cana-2205	37	22	tasks	task	NOUN
cana-2205	37	23	like	like	ADP
cana-2205	37	24	action	action	NOUN
cana-2205	37	25	recognition	recognition	NOUN
cana-2205	37	26	,	,	PUNCT
cana-2205	37	27	event	event	NOUN
cana-2205	37	28	detection	detection	NOUN
cana-2205	37	29	,	,	PUNCT
cana-2205	37	30	and	and	CCONJ
cana-2205	37	31	video	video	NOUN
cana-2205	37	32	classification	classification	NOUN
cana-2205	37	33	.	.	PUNCT
cana-2205	38	1	2d	2d	PROPN
cana-2205	38	2	cnns	cnns	PROPN
cana-2205	38	3	solely	solely	ADV
cana-2205	38	4	process	process	VERB
cana-2205	38	5	spatial	spatial	ADJ
cana-2205	38	6	information	information	NOUN
cana-2205	38	7	in	in	ADP
cana-2205	38	8	images	image	NOUN
cana-2205	38	9	[	[	X
cana-2205	38	10	14],[15	14],[15	X
cana-2205	38	11	]	]	X
cana-2205	38	12	.	.	PUNCT
cana-2205	39	1	two	two	NUM
cana-2205	39	2	core	core	NOUN
cana-2205	39	3	architectures	architecture	NOUN
cana-2205	39	4	for	for	ADP
cana-2205	39	5	video	video	NOUN
cana-2205	39	6	recognition	recognition	NOUN
cana-2205	39	7	tasks	task	NOUN
cana-2205	39	8	are	be	AUX
cana-2205	39	9	recurrent	recurrent	ADJ
cana-2205	39	10	neural	neural	ADJ
cana-2205	39	11	networks	network	NOUN
cana-2205	39	12	(	(	PUNCT
cana-2205	39	13	rnns	rnns	PROPN
cana-2205	39	14	)	)	PUNCT
cana-2205	39	15	and	and	CCONJ
cana-2205	39	16	convolutional	convolutional	ADJ
cana-2205	39	17	neural	neural	ADJ
cana-2205	39	18	networks	network	NOUN
cana-2205	39	19	(	(	PUNCT
cana-2205	39	20	cnns	cnns	PROPN
cana-2205	39	21	)	)	PUNCT
cana-2205	39	22	.	.	PUNCT
cana-2205	40	1	rnns	rnn	NOUN
cana-2205	40	2	are	be	AUX
cana-2205	40	3	useful	useful	ADJ
cana-2205	40	4	for	for	ADP
cana-2205	40	5	frame	frame	NOUN
cana-2205	40	6	-	-	PUNCT
cana-2205	40	7	by	by	ADP
cana-2205	40	8	-	-	PUNCT
cana-2205	40	9	frame	frame	NOUN
cana-2205	40	10	analysis	analysis	NOUN
cana-2205	40	11	of	of	ADP
cana-2205	40	12	films	film	NOUN
cana-2205	40	13	because	because	SCONJ
cana-2205	40	14	they	they	PRON
cana-2205	40	15	are	be	AUX
cana-2205	40	16	good	good	ADJ
cana-2205	40	17	at	at	ADP
cana-2205	40	18	capturing	capture	VERB
cana-2205	40	19	temporal	temporal	ADJ
cana-2205	40	20	dependencies	dependency	NOUN
cana-2205	40	21	in	in	ADP
cana-2205	40	22	sequential	sequential	ADJ
cana-2205	40	23	data[16	data[16	NOUN
cana-2205	40	24	]	]	PUNCT
cana-2205	40	25	.	.	PUNCT
cana-2205	41	1	they	they	PRON
cana-2205	41	2	are	be	AUX
cana-2205	41	3	able	able	ADJ
cana-2205	41	4	to	to	PART
cana-2205	41	5	simulate	simulate	VERB
cana-2205	41	6	long	long	ADJ
cana-2205	41	7	-	-	PUNCT
cana-2205	41	8	range	range	NOUN
cana-2205	41	9	dependencies	dependency	NOUN
cana-2205	41	10	and	and	CCONJ
cana-2205	41	11	temporal	temporal	ADJ
cana-2205	41	12	dynamics	dynamic	NOUN
cana-2205	41	13	inside	inside	ADP
cana-2205	41	14	video	video	NOUN
cana-2205	41	15	sequences	sequence	NOUN
cana-2205	41	16	because	because	SCONJ
cana-2205	41	17	they	they	PRON
cana-2205	41	18	are	be	AUX
cana-2205	41	19	able	able	ADJ
cana-2205	41	20	to	to	PART
cana-2205	41	21	preserve	preserve	VERB
cana-2205	41	22	hidden	hidden	ADJ
cana-2205	41	23	states	state	NOUN
cana-2205	41	24	throughout	throughout	ADP
cana-2205	41	25	time	time	NOUN
cana-2205	41	26	.	.	PUNCT
cana-2205	42	1	rnns[17	rnns[17	VERB
cana-2205	42	2	]	]	PUNCT
cana-2205	42	3	,	,	PUNCT
cana-2205	42	4	however	however	ADV
cana-2205	42	5	,	,	PUNCT
cana-2205	42	6	might	might	AUX
cana-2205	42	7	have	have	VERB
cana-2205	42	8	trouble	trouble	NOUN
cana-2205	42	9	efficiently	efficiently	ADV
cana-2205	42	10	capturing	capture	VERB
cana-2205	42	11	spatial	spatial	ADJ
cana-2205	42	12	information	information	NOUN
cana-2205	42	13	.	.	PUNCT
cana-2205	43	1	conversely	conversely	ADV
cana-2205	43	2	,	,	PUNCT
cana-2205	43	3	cnns	cnn	NOUN
cana-2205	43	4	are	be	AUX
cana-2205	43	5	excellent	excellent	ADJ
cana-2205	43	6	at	at	ADP
cana-2205	43	7	extracting	extract	VERB
cana-2205	43	8	spatial	spatial	ADJ
cana-2205	43	9	features	feature	NOUN
cana-2205	43	10	from	from	ADP
cana-2205	43	11	single	single	ADJ
cana-2205	43	12	frames	frame	NOUN
cana-2205	43	13	by	by	ADP
cana-2205	43	14	using	use	VERB
cana-2205	43	15	convolutional	convolutional	ADJ
cana-2205	43	16	layers	layer	NOUN
cana-2205	43	17	to	to	PART
cana-2205	43	18	identify	identify	VERB
cana-2205	43	19	hierarchical	hierarchical	ADJ
cana-2205	43	20	patterns	pattern	NOUN
cana-2205	43	21	.	.	PUNCT
cana-2205	44	1	cnns	cnns	PROPN
cana-2205	44	2	can	can	AUX
cana-2205	44	3	effectively	effectively	ADV
cana-2205	44	4	capture	capture	VERB
cana-2205	44	5	spatial	spatial	ADJ
cana-2205	44	6	characteristics	characteristic	NOUN
cana-2205	44	7	in	in	ADP
cana-2205	44	8	videos	video	NOUN
cana-2205	44	9	by	by	ADP
cana-2205	44	10	processing	process	VERB
cana-2205	44	11	each	each	DET
cana-2205	44	12	frame	frame	NOUN
cana-2205	44	13	independently[18	independently[18	PUNCT
cana-2205	44	14	]	]	PUNCT
cana-2205	44	15	.	.	PUNCT
cana-2205	45	1	one	one	NUM
cana-2205	45	2	of	of	ADP
cana-2205	45	3	the	the	DET
cana-2205	45	4	earliest	early	ADJ
cana-2205	45	5	3d	3d	PROPN
cana-2205	45	6	cnn	cnn	PROPN
cana-2205	45	7	architectures[19	architectures[19	PROPN
cana-2205	45	8	]	]	PUNCT
cana-2205	45	9	was	be	AUX
cana-2205	45	10	presented	present	VERB
cana-2205	45	11	by	by	ADP
cana-2205	45	12	the	the	DET
cana-2205	45	13	authors	author	NOUN
cana-2205	45	14	,	,	PUNCT
cana-2205	45	15	who	who	PRON
cana-2205	45	16	specifically	specifically	ADV
cana-2205	45	17	addressed	address	VERB
cana-2205	45	18	the	the	DET
cana-2205	45	19	requirement	requirement	NOUN
cana-2205	45	20	to	to	PART
cana-2205	45	21	record	record	NOUN
cana-2205	45	22	motion	motion	NOUN
cana-2205	45	23	information	information	NOUN
cana-2205	45	24	embedded	embed	VERB
cana-2205	45	25	in	in	ADP
cana-2205	45	26	successive	successive	ADJ
cana-2205	45	27	video	video	NOUN
cana-2205	45	28	frames[20	frames[20	X
cana-2205	45	29	]	]	PUNCT
cana-2205	45	30	.	.	PUNCT
cana-2205	46	1	by	by	ADP
cana-2205	46	2	proving	prove	VERB
cana-2205	46	3	that	that	SCONJ
cana-2205	46	4	convolution	convolution	NOUN
cana-2205	46	5	procedures	procedure	NOUN
cana-2205	46	6	extended	extend	VERB
cana-2205	46	7	into	into	ADP
cana-2205	46	8	the	the	DET
cana-2205	46	9	time	time	NOUN
cana-2205	46	10	dimension	dimension	NOUN
cana-2205	46	11	could	could	AUX
cana-2205	46	12	successfully	successfully	ADV
cana-2205	46	13	capture	capture	VERB
cana-2205	46	14	temporal	temporal	ADJ
cana-2205	46	15	patterns	pattern	NOUN
cana-2205	46	16	with	with	ADP
cana-2205	46	17	spatial	spatial	ADJ
cana-2205	46	18	data	datum	NOUN
cana-2205	46	19	,	,	PUNCT
cana-2205	46	20	this	this	DET
cana-2205	46	21	work	work	NOUN
cana-2205	46	22	paved	pave	VERB
cana-2205	46	23	the	the	DET
cana-2205	46	24	way	way	NOUN
cana-2205	46	25	for	for	ADP
cana-2205	46	26	more	more	ADV
cana-2205	46	27	comprehensive	comprehensive	ADJ
cana-2205	46	28	approaches	approach	NOUN
cana-2205	46	29	to	to	ADP
cana-2205	46	30	video	video	NOUN
cana-2205	46	31	analysis[21	analysis[21	PROPN
cana-2205	46	32	]	]	X
cana-2205	46	33	.	.	PUNCT
cana-2205	47	1	a	a	DET
cana-2205	47	2	small	small	ADJ
cana-2205	47	3	number	number	NOUN
cana-2205	47	4	of	of	ADP
cana-2205	47	5	researchers	researcher	NOUN
cana-2205	47	6	investigated	investigate	VERB
cana-2205	47	7	several	several	ADJ
cana-2205	47	8	cnn	cnn	PROPN
cana-2205	47	9	configurations	configuration	NOUN
cana-2205	47	10	for	for	ADP
cana-2205	47	11	large	large	ADJ
cana-2205	47	12	-	-	PUNCT
cana-2205	47	13	scale	scale	NOUN
cana-2205	47	14	video	video	NOUN
cana-2205	47	15	categorization	categorization	NOUN
cana-2205	47	16	,	,	PUNCT
cana-2205	47	17	such	such	ADJ
cana-2205	47	18	as	as	ADP
cana-2205	47	19	contrasting	contrast	VERB
cana-2205	47	20	2d	2d	NUM
cana-2205	47	21	cnns	cnn	NOUN
cana-2205	47	22	with	with	ADP
cana-2205	47	23	early	early	ADJ
cana-2205	47	24	3d	3d	NUM
cana-2205	47	25	cnn	cnn	PROPN
cana-2205	47	26	models	model	NOUN
cana-2205	47	27	.	.	PUNCT
cana-2205	48	1	their	their	PRON
cana-2205	48	2	results	result	NOUN
cana-2205	48	3	demonstrated	demonstrate	VERB
cana-2205	48	4	deep	deep	ADJ
cana-2205	48	5	networks	network	NOUN
cana-2205	48	6	'	'	PART
cana-2205	48	7	potential	potential	NOUN
cana-2205	48	8	for	for	ADP
cana-2205	48	9	video	video	NOUN
cana-2205	48	10	and	and	CCONJ
cana-2205	48	11	paved	pave	VERB
cana-2205	48	12	the	the	DET
cana-2205	48	13	way	way	NOUN
cana-2205	48	14	for	for	ADP
cana-2205	48	15	additional	additional	ADJ
cana-2205	48	16	investigation	investigation	NOUN
cana-2205	48	17	into	into	ADP
cana-2205	48	18	more	more	ADV
cana-2205	48	19	complex	complex	ADJ
cana-2205	48	20	temporal	temporal	ADJ
cana-2205	48	21	modelling[22	modelling[22	NOUN
cana-2205	48	22	]	]	PUNCT
cana-2205	48	23	.	.	PUNCT
cana-2205	49	1	the	the	DET
cana-2205	49	2	necessity	necessity	NOUN
cana-2205	49	3	to	to	PART
cana-2205	49	4	quickly	quickly	ADV
cana-2205	49	5	analyses	analyse	VERB
cana-2205	49	6	the	the	DET
cana-2205	49	7	large	large	ADJ
cana-2205	49	8	dimensionality	dimensionality	NOUN
cana-2205	49	9	of	of	ADP
cana-2205	49	10	video	video	NOUN
cana-2205	49	11	input	input	NOUN
cana-2205	49	12	while	while	SCONJ
cana-2205	49	13	capturing	capture	VERB
cana-2205	49	14	complex	complex	ADJ
cana-2205	49	15	temporal	temporal	ADJ
cana-2205	49	16	dynamics	dynamic	NOUN
cana-2205	49	17	has	have	AUX
cana-2205	49	18	prompted	prompt	VERB
cana-2205	49	19	significant	significant	ADJ
cana-2205	49	20	advancements	advancement	NOUN
cana-2205	49	21	in	in	ADP
cana-2205	49	22	3d	3d	PROPN
cana-2205	49	23	cnn	cnn	PROPN
cana-2205	49	24	designs	design	NOUN
cana-2205	49	25	.	.	PUNCT
cana-2205	50	1	among	among	ADP
cana-2205	50	2	the	the	DET
cana-2205	50	3	noteworthy	noteworthy	ADJ
cana-2205	50	4	contributions	contribution	NOUN
cana-2205	50	5	are	be	AUX
cana-2205	50	6	the	the	DET
cana-2205	50	7	following[23],[24	following[23],[24	NOUN
cana-2205	50	8	]	]	PUNCT
cana-2205	50	9	.	.	PUNCT
cana-2205	51	1	a	a	DET
cana-2205	51	2	few	few	ADJ
cana-2205	51	3	authors	author	NOUN
cana-2205	51	4	introduced	introduce	VERB
cana-2205	51	5	the	the	DET
cana-2205	51	6	c3d	c3d	PROPN
cana-2205	51	7	3d	3d	PROPN
cana-2205	51	8	cnn	cnn	PROPN
cana-2205	51	9	model	model	NOUN
cana-2205	51	10	,	,	PUNCT
cana-2205	51	11	which	which	PRON
cana-2205	51	12	is	be	AUX
cana-2205	51	13	a	a	DET
cana-2205	51	14	straightforward	straightforward	ADJ
cana-2205	51	15	yet	yet	CCONJ
cana-2205	51	16	powerful	powerful	ADJ
cana-2205	51	17	model	model	NOUN
cana-2205	51	18	that	that	PRON
cana-2205	51	19	uses	use	VERB
cana-2205	51	20	3x3x3	3x3x3	NUM
cana-2205	51	21	convolutions	convolution	NOUN
cana-2205	51	22	throughout	throughout	ADP
cana-2205	51	23	the	the	DET
cana-2205	51	24	network	network	NOUN
cana-2205	51	25	to	to	PART
cana-2205	51	26	extract	extract	VERB
cana-2205	51	27	spatiotemporal	spatiotemporal	ADJ
cana-2205	51	28	information	information	NOUN
cana-2205	51	29	.	.	PUNCT
cana-2205	52	1	this	this	DET
cana-2205	52	2	model	model	NOUN
cana-2205	52	3	has	have	AUX
cana-2205	52	4	been	be	AUX
cana-2205	52	5	widely	widely	ADV
cana-2205	52	6	used	use	VERB
cana-2205	52	7	in	in	ADP
cana-2205	52	8	a	a	DET
cana-2205	52	9	variety	variety	NOUN
cana-2205	52	10	of	of	ADP
cana-2205	52	11	video	video	NOUN
cana-2205	52	12	analysis	analysis	NOUN
cana-2205	52	13	jobs	job	NOUN
cana-2205	52	14	due	due	ADP
cana-2205	52	15	to	to	ADP
cana-2205	52	16	its	its	PRON
cana-2205	52	17	exceptional	exceptional	ADJ
cana-2205	52	18	performance	performance	NOUN
cana-2205	52	19	on	on	ADP
cana-2205	52	20	multiple	multiple	ADJ
cana-2205	52	21	benchmarks	benchmark	NOUN
cana-2205	52	22	.	.	PUNCT
cana-2205	53	1	the	the	DET
cana-2205	53	2	idea	idea	NOUN
cana-2205	53	3	of	of	ADP
cana-2205	53	4	"	"	PUNCT
cana-2205	53	5	inflating	inflate	VERB
cana-2205	53	6	"	"	PUNCT
cana-2205	53	7	2d	2d	NUM
cana-2205	53	8	communications	communication	NOUN
cana-2205	53	9	on	on	ADP
cana-2205	53	10	applied	apply	VERB
cana-2205	53	11	nonlinear	nonlinear	ADJ
cana-2205	53	12	analysis	analysis	NOUN
cana-2205	53	13	issn	issn	NOUN
cana-2205	53	14	:	:	PUNCT
cana-2205	53	15	1074	1074	NUM
cana-2205	53	16	-	-	PUNCT
cana-2205	53	17	133x	133x	NUM
cana-2205	53	18	vol	vol	NOUN
cana-2205	53	19	32	32	NUM
cana-2205	53	20	no	no	NOUN
cana-2205	53	21	.	.	PUNCT
cana-2205	54	1	1s	1s	NUM
cana-2205	54	2	(	(	PUNCT
cana-2205	54	3	2025	2025	NUM
cana-2205	54	4	)	)	PUNCT
cana-2205	54	5	414	414	NUM
cana-2205	54	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2205	54	7	convolutional	convolutional	ADJ
cana-2205	54	8	kernels	kernel	NOUN
cana-2205	54	9	to	to	ADP
cana-2205	54	10	3d	3d	NUM
cana-2205	54	11	was	be	AUX
cana-2205	54	12	developed	develop	VERB
cana-2205	54	13	by	by	ADP
cana-2205	54	14	numerous	numerous	ADJ
cana-2205	54	15	academics	academic	NOUN
cana-2205	54	16	,	,	PUNCT
cana-2205	54	17	allowing	allow	VERB
cana-2205	54	18	the	the	DET
cana-2205	54	19	use	use	NOUN
cana-2205	54	20	of	of	ADP
cana-2205	54	21	2d	2d	NUM
cana-2205	54	22	cnn	cnn	PROPN
cana-2205	54	23	architectures[25],[26	architectures[25],[26	NOUN
cana-2205	54	24	]	]	PUNCT
cana-2205	54	25	that	that	PRON
cana-2205	54	26	have	have	AUX
cana-2205	54	27	already	already	ADV
cana-2205	54	28	been	be	AUX
cana-2205	54	29	trained	train	VERB
cana-2205	54	30	on	on	ADP
cana-2205	54	31	video	video	NOUN
cana-2205	54	32	data	datum	NOUN
cana-2205	54	33	,	,	PUNCT
cana-2205	54	34	such	such	ADJ
cana-2205	54	35	as	as	ADP
cana-2205	54	36	inception	inception	NOUN
cana-2205	54	37	-	-	PUNCT
cana-2205	54	38	v1	v1	NOUN
cana-2205	54	39	.	.	PUNCT
cana-2205	55	1	their	their	PRON
cana-2205	55	2	method	method	NOUN
cana-2205	55	3	dramatically	dramatically	ADV
cana-2205	55	4	improved	improve	VERB
cana-2205	55	5	performance	performance	NOUN
cana-2205	55	6	on	on	ADP
cana-2205	55	7	action	action	NOUN
cana-2205	55	8	detection	detection	NOUN
cana-2205	55	9	benchmarks	benchmark	NOUN
cana-2205	55	10	by	by	ADP
cana-2205	55	11	deftly	deftly	ADV
cana-2205	55	12	adapting	adapt	VERB
cana-2205	55	13	wellknown	wellknown	ADJ
cana-2205	55	14	image	image	NOUN
cana-2205	55	15	recognition	recognition	NOUN
cana-2205	55	16	models	model	NOUN
cana-2205	55	17	to	to	ADP
cana-2205	55	18	the	the	DET
cana-2205	55	19	video	video	NOUN
cana-2205	55	20	domain	domain	NOUN
cana-2205	55	21	.	.	PUNCT
cana-2205	56	1	3	3	X
cana-2205	56	2	.	.	X
cana-2205	56	3	design	design	NOUN
cana-2205	56	4	of	of	ADP
cana-2205	56	5	3d	3d	NUM
cana-2205	56	6	convolutional	convolutional	ADJ
cana-2205	56	7	neural	neural	ADJ
cana-2205	56	8	networks	network	NOUN
cana-2205	56	9	for	for	ADP
cana-2205	56	10	video	video	NOUN
cana-2205	56	11	recognition	recognition	NOUN
cana-2205	56	12	a	a	DET
cana-2205	56	13	number	number	NOUN
cana-2205	56	14	of	of	ADP
cana-2205	56	15	important	important	ADJ
cana-2205	56	16	factors	factor	NOUN
cana-2205	56	17	must	must	AUX
cana-2205	56	18	be	be	AUX
cana-2205	56	19	taken	take	VERB
cana-2205	56	20	into	into	ADP
cana-2205	56	21	account	account	NOUN
cana-2205	56	22	while	while	SCONJ
cana-2205	56	23	designing	design	VERB
cana-2205	56	24	and	and	CCONJ
cana-2205	56	25	building	build	VERB
cana-2205	56	26	3d	3d	NUM
cana-2205	56	27	convolutional	convolutional	ADJ
cana-2205	56	28	neural	neural	ADJ
cana-2205	56	29	networks	network	NOUN
cana-2205	56	30	(	(	PUNCT
cana-2205	56	31	3d	3d	PROPN
cana-2205	56	32	cnns	cnns	PROPN
cana-2205	56	33	)	)	PUNCT
cana-2205	56	34	for	for	ADP
cana-2205	56	35	video	video	NOUN
cana-2205	56	36	recognition	recognition	NOUN
cana-2205	56	37	,	,	PUNCT
cana-2205	56	38	including	include	VERB
cana-2205	56	39	the	the	DET
cana-2205	56	40	network	network	NOUN
cana-2205	56	41	architecture	architecture	NOUN
cana-2205	56	42	,	,	PUNCT
cana-2205	56	43	data	datum	NOUN
cana-2205	56	44	preparation	preparation	NOUN
cana-2205	56	45	,	,	PUNCT
cana-2205	56	46	learning	learn	VERB
cana-2205	56	47	procedures	procedure	NOUN
cana-2205	56	48	,	,	PUNCT
cana-2205	56	49	and	and	CCONJ
cana-2205	56	50	optimization	optimization	NOUN
cana-2205	56	51	techniques	technique	NOUN
cana-2205	56	52	.	.	PUNCT
cana-2205	57	1	this	this	DET
cana-2205	57	2	comprehensive	comprehensive	ADJ
cana-2205	57	3	tutorial	tutorial	NOUN
cana-2205	57	4	will	will	AUX
cana-2205	57	5	go	go	VERB
cana-2205	57	6	over	over	ADP
cana-2205	57	7	the	the	DET
cana-2205	57	8	key	key	ADJ
cana-2205	57	9	elements	element	NOUN
cana-2205	57	10	and	and	CCONJ
cana-2205	57	11	methods	method	NOUN
cana-2205	57	12	used	use	VERB
cana-2205	57	13	to	to	PART
cana-2205	57	14	build	build	VERB
cana-2205	57	15	efficient	efficient	ADJ
cana-2205	57	16	3d	3d	PROPN
cana-2205	57	17	cnns	cnn	NOUN
cana-2205	57	18	for	for	ADP
cana-2205	57	19	video	video	NOUN
cana-2205	57	20	data	datum	NOUN
cana-2205	57	21	analysis	analysis	NOUN
cana-2205	57	22	.	.	PUNCT
cana-2205	58	1	by	by	ADP
cana-2205	58	2	incorporating	incorporate	VERB
cana-2205	58	3	a	a	DET
cana-2205	58	4	temporal	temporal	ADJ
cana-2205	58	5	dimension	dimension	NOUN
cana-2205	58	6	into	into	ADP
cana-2205	58	7	the	the	DET
cana-2205	58	8	spatial	spatial	ADJ
cana-2205	58	9	parameters	parameter	NOUN
cana-2205	58	10	of	of	ADP
cana-2205	58	11	height	height	NOUN
cana-2205	58	12	and	and	CCONJ
cana-2205	58	13	width	width	ADJ
cana-2205	58	14	,	,	PUNCT
cana-2205	58	15	3d	3d	PROPN
cana-2205	58	16	cnns	cnn	NOUN
cana-2205	58	17	expand	expand	VERB
cana-2205	58	18	upon	upon	SCONJ
cana-2205	58	19	conventional	conventional	ADJ
cana-2205	58	20	2d	2d	NUM
cana-2205	58	21	convolutional	convolutional	ADJ
cana-2205	58	22	networks	network	NOUN
cana-2205	58	23	.	.	PUNCT
cana-2205	59	1	as	as	ADP
cana-2205	59	2	a	a	DET
cana-2205	59	3	result	result	NOUN
cana-2205	59	4	,	,	PUNCT
cana-2205	59	5	the	the	DET
cana-2205	59	6	network	network	NOUN
cana-2205	59	7	may	may	AUX
cana-2205	59	8	execute	execute	VERB
cana-2205	59	9	convolutions	convolution	NOUN
cana-2205	59	10	in	in	ADP
cana-2205	59	11	both	both	DET
cana-2205	59	12	space	space	NOUN
cana-2205	59	13	and	and	CCONJ
cana-2205	59	14	time	time	NOUN
cana-2205	59	15	to	to	PART
cana-2205	59	16	extract	extract	VERB
cana-2205	59	17	features	feature	NOUN
cana-2205	59	18	from	from	ADP
cana-2205	59	19	video	video	NOUN
cana-2205	59	20	sequences	sequence	NOUN
cana-2205	59	21	that	that	PRON
cana-2205	59	22	capture	capture	VERB
cana-2205	59	23	the	the	DET
cana-2205	59	24	motion	motion	NOUN
cana-2205	59	25	information	information	NOUN
cana-2205	59	26	they	they	PRON
cana-2205	59	27	contain	contain	VERB
cana-2205	59	28	.	.	PUNCT
cana-2205	60	1	this	this	PRON
cana-2205	60	2	is	be	AUX
cana-2205	60	3	especially	especially	ADV
cana-2205	60	4	helpful	helpful	ADJ
cana-2205	60	5	for	for	ADP
cana-2205	60	6	applications	application	NOUN
cana-2205	60	7	that	that	PRON
cana-2205	60	8	require	require	VERB
cana-2205	60	9	a	a	DET
cana-2205	60	10	grasp	grasp	NOUN
cana-2205	60	11	of	of	ADP
cana-2205	60	12	the	the	DET
cana-2205	60	13	dynamics	dynamic	NOUN
cana-2205	60	14	within	within	ADP
cana-2205	60	15	video	video	NOUN
cana-2205	60	16	frames	frame	NOUN
cana-2205	60	17	over	over	ADP
cana-2205	60	18	time	time	NOUN
cana-2205	60	19	,	,	PUNCT
cana-2205	60	20	such	such	ADJ
cana-2205	60	21	as	as	ADP
cana-2205	60	22	action	action	NOUN
cana-2205	60	23	recognition	recognition	NOUN
cana-2205	60	24	and	and	CCONJ
cana-2205	60	25	event	event	NOUN
cana-2205	60	26	detection	detection	NOUN
cana-2205	60	27	as	as	SCONJ
cana-2205	60	28	shown	show	VERB
cana-2205	60	29	in	in	ADP
cana-2205	60	30	figure	figure	NOUN
cana-2205	60	31	1	1	NUM
cana-2205	60	32	.	.	PUNCT
cana-2205	61	1	a	a	DET
cana-2205	61	2	series	series	NOUN
cana-2205	61	3	of	of	ADP
cana-2205	61	4	frames	frame	NOUN
cana-2205	61	5	is	be	AUX
cana-2205	61	6	commonly	commonly	ADV
cana-2205	61	7	used	use	VERB
cana-2205	61	8	as	as	ADP
cana-2205	61	9	the	the	DET
cana-2205	61	10	input	input	NOUN
cana-2205	61	11	for	for	ADP
cana-2205	61	12	a	a	DET
cana-2205	61	13	3d	3d	NUM
cana-2205	61	14	cnn	cnn	NOUN
cana-2205	61	15	.	.	PUNCT
cana-2205	62	1	although	although	SCONJ
cana-2205	62	2	the	the	DET
cana-2205	62	3	length	length	NOUN
cana-2205	62	4	of	of	ADP
cana-2205	62	5	this	this	DET
cana-2205	62	6	sequence	sequence	NOUN
cana-2205	62	7	is	be	AUX
cana-2205	62	8	flexible	flexible	ADJ
cana-2205	62	9	,	,	PUNCT
cana-2205	62	10	it	it	PRON
cana-2205	62	11	typically	typically	ADV
cana-2205	62	12	consists	consist	VERB
cana-2205	62	13	of	of	ADP
cana-2205	62	14	a	a	DET
cana-2205	62	15	predetermined	predetermine	VERB
cana-2205	62	16	number	number	NOUN
cana-2205	62	17	of	of	ADP
cana-2205	62	18	back	back	NOUN
cana-2205	62	19	-	-	PUNCT
cana-2205	62	20	to	to	ADP
cana-2205	62	21	-	-	PUNCT
cana-2205	62	22	back	back	NOUN
cana-2205	62	23	video	video	NOUN
cana-2205	62	24	frames	frame	NOUN
cana-2205	62	25	.	.	PUNCT
cana-2205	63	1	with	with	ADP
cana-2205	63	2	channels	channel	NOUN
cana-2205	63	3	standing	stand	VERB
cana-2205	63	4	in	in	ADP
cana-2205	63	5	for	for	ADP
cana-2205	63	6	color	color	NOUN
cana-2205	63	7	channels	channel	NOUN
cana-2205	63	8	in	in	ADP
cana-2205	63	9	the	the	DET
cana-2205	63	10	image	image	NOUN
cana-2205	63	11	,	,	PUNCT
cana-2205	63	12	the	the	DET
cana-2205	63	13	input	input	NOUN
cana-2205	63	14	tensor	tensor	NOUN
cana-2205	63	15	's	's	PART
cana-2205	63	16	dimensions	dimension	NOUN
cana-2205	63	17	are	be	AUX
cana-2205	63	18	(	(	PUNCT
cana-2205	63	19	batch	batch	NOUN
cana-2205	63	20	size	size	NOUN
cana-2205	63	21	,	,	PUNCT
cana-2205	63	22	temporal	temporal	ADJ
cana-2205	63	23	depth	depth	NOUN
cana-2205	63	24	,	,	PUNCT
cana-2205	63	25	height	height	NOUN
cana-2205	63	26	,	,	PUNCT
cana-2205	63	27	width	width	ADJ
cana-2205	63	28	,	,	PUNCT
cana-2205	63	29	and	and	CCONJ
cana-2205	63	30	channels	channel	NOUN
cana-2205	63	31	)	)	PUNCT
cana-2205	63	32	.	.	PUNCT
cana-2205	64	1	by	by	ADP
cana-2205	64	2	lowering	lower	VERB
cana-2205	64	3	the	the	DET
cana-2205	64	4	dimensionality	dimensionality	NOUN
cana-2205	64	5	of	of	ADP
cana-2205	64	6	the	the	DET
cana-2205	64	7	data	datum	NOUN
cana-2205	64	8	,	,	PUNCT
cana-2205	64	9	3d	3d	NUM
cana-2205	64	10	pooling	pool	VERB
cana-2205	64	11	layers	layer	NOUN
cana-2205	64	12	aid	aid	NOUN
cana-2205	64	13	in	in	ADP
cana-2205	64	14	both	both	DET
cana-2205	64	15	controlling	control	VERB
cana-2205	64	16	overfitting	overfitte	VERB
cana-2205	64	17	and	and	CCONJ
cana-2205	64	18	lowering	lower	VERB
cana-2205	64	19	the	the	DET
cana-2205	64	20	computing	computing	NOUN
cana-2205	64	21	burden	burden	NOUN
cana-2205	64	22	.	.	PUNCT
cana-2205	65	1	max	max	PROPN
cana-2205	65	2	or	or	CCONJ
cana-2205	65	3	average	average	ADJ
cana-2205	65	4	pooling	pool	VERB
cana-2205	65	5	algorithms	algorithm	NOUN
cana-2205	65	6	can	can	AUX
cana-2205	65	7	be	be	AUX
cana-2205	65	8	used	use	VERB
cana-2205	65	9	for	for	ADP
cana-2205	65	10	pooling	pool	VERB
cana-2205	65	11	in	in	ADP
cana-2205	65	12	both	both	CCONJ
cana-2205	65	13	spatial	spatial	ADJ
cana-2205	65	14	and	and	CCONJ
cana-2205	65	15	temporal	temporal	ADJ
cana-2205	65	16	dimensions	dimension	NOUN
cana-2205	65	17	as	as	SCONJ
cana-2205	65	18	shown	show	VERB
cana-2205	65	19	in	in	ADP
cana-2205	65	20	figure	figure	NOUN
cana-2205	65	21	1	1	NUM
cana-2205	65	22	.	.	PUNCT
cana-2205	65	23	rectified	rectify	VERB
cana-2205	65	24	linear	linear	PROPN
cana-2205	65	25	unit	unit	NOUN
cana-2205	65	26	,	,	PUNCT
cana-2205	65	27	or	or	CCONJ
cana-2205	65	28	relu	relu	NOUN
cana-2205	65	29	,	,	PUNCT
cana-2205	65	30	is	be	AUX
cana-2205	65	31	still	still	ADV
cana-2205	65	32	the	the	DET
cana-2205	65	33	most	most	ADV
cana-2205	65	34	widely	widely	ADV
cana-2205	65	35	used	use	VERB
cana-2205	65	36	activation	activation	NOUN
cana-2205	65	37	function	function	NOUN
cana-2205	65	38	because	because	SCONJ
cana-2205	65	39	it	it	PRON
cana-2205	65	40	can	can	AUX
cana-2205	65	41	introduce	introduce	VERB
cana-2205	65	42	non	non	NOUN
cana-2205	65	43	-	-	NOUN
cana-2205	65	44	linearities	linearity	NOUN
cana-2205	65	45	effectively	effectively	ADV
cana-2205	65	46	without	without	ADP
cana-2205	65	47	changing	change	VERB
cana-2205	65	48	the	the	DET
cana-2205	65	49	convolution	convolution	NOUN
cana-2205	65	50	layer	layer	NOUN
cana-2205	65	51	's	's	PART
cana-2205	65	52	receptive	receptive	ADJ
cana-2205	65	53	fields	field	NOUN
cana-2205	65	54	.	.	PUNCT
cana-2205	66	1	in	in	ADP
cana-2205	66	2	order	order	NOUN
cana-2205	66	3	to	to	PART
cana-2205	66	4	stabilize	stabilize	VERB
cana-2205	66	5	learning	learn	VERB
cana-2205	66	6	and	and	CCONJ
cana-2205	66	7	lower	low	ADJ
cana-2205	66	8	the	the	DET
cana-2205	66	9	total	total	ADJ
cana-2205	66	10	number	number	NOUN
cana-2205	66	11	of	of	ADP
cana-2205	66	12	epochs	epoch	NOUN
cana-2205	66	13	needed	need	VERB
cana-2205	66	14	to	to	PART
cana-2205	66	15	train	train	VERB
cana-2205	66	16	the	the	DET
cana-2205	66	17	network	network	NOUN
cana-2205	66	18	,	,	PUNCT
cana-2205	66	19	batch	batch	NOUN
cana-2205	66	20	normalization	normalization	NOUN
cana-2205	66	21	is	be	AUX
cana-2205	66	22	frequently	frequently	ADV
cana-2205	66	23	used	use	VERB
cana-2205	66	24	following	follow	VERB
cana-2205	66	25	each	each	DET
cana-2205	66	26	convolutional	convolutional	ADJ
cana-2205	66	27	operation	operation	NOUN
cana-2205	66	28	.	.	PUNCT
cana-2205	67	1	usually	usually	ADV
cana-2205	67	2	,	,	PUNCT
cana-2205	67	3	one	one	NUM
cana-2205	67	4	or	or	CCONJ
cana-2205	67	5	more	more	ADV
cana-2205	67	6	fully	fully	ADV
cana-2205	67	7	connected	connect	VERB
cana-2205	67	8	(	(	PUNCT
cana-2205	67	9	fc	fc	INTJ
cana-2205	67	10	)	)	PUNCT
cana-2205	67	11	layers	layer	NOUN
cana-2205	67	12	at	at	ADP
cana-2205	67	13	the	the	DET
cana-2205	67	14	end	end	NOUN
cana-2205	67	15	of	of	ADP
cana-2205	67	16	the	the	DET
cana-2205	67	17	network	network	NOUN
cana-2205	67	18	are	be	AUX
cana-2205	67	19	used	use	VERB
cana-2205	67	20	to	to	PART
cana-2205	67	21	map	map	VERB
cana-2205	67	22	the	the	DET
cana-2205	67	23	learnt	learnt	NOUN
cana-2205	67	24	features	feature	NOUN
cana-2205	67	25	to	to	ADP
cana-2205	67	26	the	the	DET
cana-2205	67	27	output	output	NOUN
cana-2205	67	28	at	at	ADP
cana-2205	67	29	the	the	DET
cana-2205	67	30	end	end	NOUN
cana-2205	67	31	,	,	PUNCT
cana-2205	67	32	like	like	ADP
cana-2205	67	33	class	class	NOUN
cana-2205	67	34	scores	score	NOUN
cana-2205	67	35	for	for	ADP
cana-2205	67	36	classification	classification	NOUN
cana-2205	67	37	tasks	task	NOUN
cana-2205	67	38	.	.	PUNCT
cana-2205	68	1	for	for	ADP
cana-2205	68	2	multi	multi	ADJ
cana-2205	68	3	-	-	ADJ
cana-2205	68	4	class	class	ADJ
cana-2205	68	5	issues	issue	NOUN
cana-2205	68	6	,	,	PUNCT
cana-2205	68	7	the	the	DET
cana-2205	68	8	last	last	ADJ
cana-2205	68	9	layer	layer	NOUN
cana-2205	68	10	employs	employ	VERB
cana-2205	68	11	a	a	DET
cana-2205	68	12	softmax	softmax	NOUN
cana-2205	68	13	activation	activation	NOUN
cana-2205	68	14	function	function	NOUN
cana-2205	68	15	;	;	PUNCT
cana-2205	68	16	for	for	ADP
cana-2205	68	17	binary	binary	ADJ
cana-2205	68	18	classification	classification	NOUN
cana-2205	68	19	,	,	PUNCT
cana-2205	68	20	it	it	PRON
cana-2205	68	21	utilizes	utilize	VERB
cana-2205	68	22	a	a	DET
cana-2205	68	23	sigmoid	sigmoid	NOUN
cana-2205	68	24	.	.	PUNCT
cana-2205	69	1	figure	figure	NOUN
cana-2205	69	2	1	1	NUM
cana-2205	69	3	:	:	PUNCT
cana-2205	69	4	design	design	NOUN
cana-2205	69	5	of	of	ADP
cana-2205	69	6	3d	3d	PROPN
cana-2205	69	7	-	-	PUNCT
cana-2205	69	8	cnn	cnn	PROPN
cana-2205	69	9	for	for	ADP
cana-2205	69	10	video	video	NOUN
cana-2205	69	11	recognition	recognition	NOUN
cana-2205	69	12	because	because	SCONJ
cana-2205	69	13	of	of	ADP
cana-2205	69	14	their	their	PRON
cana-2205	69	15	large	large	ADJ
cana-2205	69	16	number	number	NOUN
cana-2205	69	17	of	of	ADP
cana-2205	69	18	parameters	parameter	NOUN
cana-2205	69	19	and	and	CCONJ
cana-2205	69	20	the	the	DET
cana-2205	69	21	volume	volume	NOUN
cana-2205	69	22	of	of	ADP
cana-2205	69	23	data	datum	NOUN
cana-2205	69	24	they	they	PRON
cana-2205	69	25	handle	handle	VERB
cana-2205	69	26	,	,	PUNCT
cana-2205	69	27	3d	3d	PROPN
cana-2205	69	28	cnns	cnns	PROPN
cana-2205	69	29	demand	demand	VERB
cana-2205	69	30	a	a	DET
cana-2205	69	31	significant	significant	ADJ
cana-2205	69	32	amount	amount	NOUN
cana-2205	69	33	of	of	ADP
cana-2205	69	34	processing	processing	NOUN
cana-2205	69	35	power	power	NOUN
cana-2205	69	36	.	.	PUNCT
cana-2205	70	1	it	it	PRON
cana-2205	70	2	is	be	AUX
cana-2205	70	3	frequently	frequently	ADV
cana-2205	70	4	required	require	VERB
cana-2205	70	5	to	to	PART
cana-2205	70	6	implement	implement	VERB
cana-2205	70	7	gpu	gpu	NOUN
cana-2205	70	8	acceleration	acceleration	NOUN
cana-2205	70	9	efficiently.3d	efficiently.3d	PROPN
cana-2205	70	10	cnns	cnns	PROPN
cana-2205	70	11	are	be	AUX
cana-2205	70	12	especially	especially	ADV
cana-2205	70	13	prone	prone	ADJ
cana-2205	70	14	to	to	ADP
cana-2205	70	15	overfitting	overfitte	VERB
cana-2205	70	16	because	because	SCONJ
cana-2205	70	17	of	of	ADP
cana-2205	70	18	their	their	PRON
cana-2205	70	19	huge	huge	ADJ
cana-2205	70	20	capacity	capacity	NOUN
cana-2205	70	21	,	,	PUNCT
cana-2205	70	22	especially	especially	ADV
cana-2205	70	23	when	when	SCONJ
cana-2205	70	24	working	work	VERB
cana-2205	70	25	with	with	ADP
cana-2205	70	26	little	little	ADJ
cana-2205	70	27	amounts	amount	NOUN
cana-2205	70	28	of	of	ADP
cana-2205	70	29	labelled	label	VERB
cana-2205	70	30	video	video	NOUN
cana-2205	70	31	input	input	NOUN
cana-2205	70	32	.	.	PUNCT
cana-2205	71	1	the	the	DET
cana-2205	71	2	augmentation	augmentation	NOUN
cana-2205	71	3	and	and	CCONJ
cana-2205	71	4	regularization	regularization	NOUN
cana-2205	71	5	techniques	technique	NOUN
cana-2205	71	6	outlined	outline	VERB
cana-2205	71	7	above	above	ADV
cana-2205	71	8	are	be	AUX
cana-2205	71	9	methods	method	NOUN
cana-2205	71	10	to	to	PART
cana-2205	71	11	deal	deal	VERB
cana-2205	71	12	with	with	ADP
cana-2205	71	13	this	this	PRON
cana-2205	71	14	.	.	PUNCT
cana-2205	72	1	reducing	reduce	VERB
cana-2205	72	2	processing	processing	NOUN
cana-2205	72	3	requirements	requirement	NOUN
cana-2205	72	4	without	without	ADP
cana-2205	72	5	sacrificing	sacrifice	VERB
cana-2205	72	6	the	the	DET
cana-2205	72	7	ability	ability	NOUN
cana-2205	72	8	to	to	PART
cana-2205	72	9	capture	capture	VERB
cana-2205	72	10	temporal	temporal	ADJ
cana-2205	72	11	dynamics	dynamic	NOUN
cana-2205	72	12	is	be	AUX
cana-2205	72	13	possible	possible	ADJ
cana-2205	72	14	when	when	SCONJ
cana-2205	72	15	combining	combine	VERB
cana-2205	72	16	2d	2d	NOUN
cana-2205	72	17	and	and	CCONJ
cana-2205	72	18	3d	3d	NUM
cana-2205	72	19	convolutions	convolution	NOUN
cana-2205	72	20	.	.	PUNCT
cana-2205	73	1	for	for	ADP
cana-2205	73	2	instance	instance	NOUN
cana-2205	73	3	,	,	PUNCT
cana-2205	73	4	the	the	DET
cana-2205	73	5	first	first	ADJ
cana-2205	73	6	layers	layer	NOUN
cana-2205	73	7	may	may	AUX
cana-2205	73	8	employ	employ	VERB
cana-2205	73	9	2d	2d	NUM
cana-2205	73	10	convolutions	convolution	NOUN
cana-2205	73	11	to	to	PART
cana-2205	73	12	extract	extract	VERB
cana-2205	73	13	spatial	spatial	ADJ
cana-2205	73	14	characteristics	characteristic	NOUN
cana-2205	73	15	,	,	PUNCT
cana-2205	73	16	and	and	CCONJ
cana-2205	73	17	then	then	ADV
cana-2205	73	18	3d	3d	PROPN
cana-2205	73	19	convolutions	convolution	VERB
cana-2205	73	20	to	to	PART
cana-2205	73	21	gradually	gradually	ADV
cana-2205	73	22	combine	combine	VERB
cana-2205	73	23	these	these	DET
cana-2205	73	24	features	feature	NOUN
cana-2205	73	25	.	.	PUNCT
cana-2205	74	1	communications	communication	NOUN
cana-2205	74	2	on	on	ADP
cana-2205	74	3	applied	apply	VERB
cana-2205	74	4	nonlinear	nonlinear	ADJ
cana-2205	74	5	analysis	analysis	NOUN
cana-2205	74	6	issn	issn	NOUN
cana-2205	74	7	:	:	PUNCT
cana-2205	74	8	1074	1074	NUM
cana-2205	74	9	-	-	PUNCT
cana-2205	74	10	133x	133x	NUM
cana-2205	74	11	vol	vol	NOUN
cana-2205	74	12	32	32	NUM
cana-2205	74	13	no	no	NOUN
cana-2205	74	14	.	.	PUNCT
cana-2205	75	1	1s	1s	NUM
cana-2205	75	2	(	(	PUNCT
cana-2205	75	3	2025	2025	NUM
cana-2205	75	4	)	)	PUNCT
cana-2205	75	5	415	415	NUM
cana-2205	75	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2205	75	7	learning	learn	VERB
cana-2205	75	8	more	more	ADV
cana-2205	75	9	robust	robust	ADJ
cana-2205	75	10	features	feature	NOUN
cana-2205	75	11	can	can	AUX
cana-2205	75	12	be	be	AUX
cana-2205	75	13	aided	aid	VERB
cana-2205	75	14	by	by	ADP
cana-2205	75	15	teaching	teach	VERB
cana-2205	75	16	the	the	DET
cana-2205	75	17	network	network	NOUN
cana-2205	75	18	to	to	PART
cana-2205	75	19	do	do	VERB
cana-2205	75	20	many	many	ADJ
cana-2205	75	21	tasks	task	NOUN
cana-2205	75	22	(	(	PUNCT
cana-2205	75	23	such	such	ADJ
cana-2205	75	24	as	as	ADP
cana-2205	75	25	object	object	NOUN
cana-2205	75	26	identification	identification	NOUN
cana-2205	75	27	and	and	CCONJ
cana-2205	75	28	action	action	NOUN
cana-2205	75	29	recognition	recognition	NOUN
cana-2205	75	30	)	)	PUNCT
cana-2205	75	31	simultaneously	simultaneously	ADV
cana-2205	75	32	.	.	PUNCT
cana-2205	76	1	understanding	understand	VERB
cana-2205	76	2	both	both	CCONJ
cana-2205	76	3	spatial	spatial	ADJ
cana-2205	76	4	and	and	CCONJ
cana-2205	76	5	temporal	temporal	ADJ
cana-2205	76	6	aspects	aspect	NOUN
cana-2205	76	7	is	be	AUX
cana-2205	76	8	necessary	necessary	ADJ
cana-2205	76	9	for	for	ADP
cana-2205	76	10	designing	design	VERB
cana-2205	76	11	3d	3d	PROPN
cana-2205	76	12	cnns	cnn	NOUN
cana-2205	76	13	for	for	ADP
cana-2205	76	14	video	video	NOUN
cana-2205	76	15	recognition	recognition	NOUN
cana-2205	76	16	,	,	PUNCT
cana-2205	76	17	which	which	PRON
cana-2205	76	18	is	be	AUX
cana-2205	76	19	a	a	DET
cana-2205	76	20	challenging	challenging	ADJ
cana-2205	76	21	but	but	CCONJ
cana-2205	76	22	rewarding	rewarding	ADJ
cana-2205	76	23	task	task	NOUN
cana-2205	76	24	.	.	PUNCT
cana-2205	77	1	to	to	PART
cana-2205	77	2	successfully	successfully	ADV
cana-2205	77	3	handle	handle	VERB
cana-2205	77	4	the	the	DET
cana-2205	77	5	large	large	ADJ
cana-2205	77	6	amount	amount	NOUN
cana-2205	77	7	of	of	ADP
cana-2205	77	8	data	datum	NOUN
cana-2205	77	9	involved	involve	VERB
cana-2205	77	10	,	,	PUNCT
cana-2205	77	11	the	the	DET
cana-2205	77	12	architecture	architecture	NOUN
cana-2205	77	13	needs	need	VERB
cana-2205	77	14	to	to	PART
cana-2205	77	15	be	be	AUX
cana-2205	77	16	carefully	carefully	ADV
cana-2205	77	17	built	build	VERB
cana-2205	77	18	,	,	PUNCT
cana-2205	77	19	paying	pay	VERB
cana-2205	77	20	special	special	ADJ
cana-2205	77	21	attention	attention	NOUN
cana-2205	77	22	to	to	ADP
cana-2205	77	23	managing	manage	VERB
cana-2205	77	24	computing	computing	NOUN
cana-2205	77	25	demands	demand	NOUN
cana-2205	77	26	and	and	CCONJ
cana-2205	77	27	preventing	prevent	VERB
cana-2205	77	28	overfitting	overfitting	NOUN
cana-2205	77	29	.	.	PUNCT
cana-2205	78	1	the	the	DET
cana-2205	78	2	possibilities	possibility	NOUN
cana-2205	78	3	of	of	ADP
cana-2205	78	4	3d	3d	PROPN
cana-2205	78	5	cnns	cnn	NOUN
cana-2205	78	6	are	be	AUX
cana-2205	78	7	growing	grow	VERB
cana-2205	78	8	as	as	ADP
cana-2205	78	9	techniques	technique	NOUN
cana-2205	78	10	and	and	CCONJ
cana-2205	78	11	technology	technology	NOUN
cana-2205	78	12	increase	increase	NOUN
cana-2205	78	13	,	,	PUNCT
cana-2205	78	14	leading	lead	VERB
cana-2205	78	15	to	to	ADP
cana-2205	78	16	improvements	improvement	NOUN
cana-2205	78	17	in	in	ADP
cana-2205	78	18	a	a	DET
cana-2205	78	19	range	range	NOUN
cana-2205	78	20	of	of	ADP
cana-2205	78	21	video	video	NOUN
cana-2205	78	22	analysis	analysis	NOUN
cana-2205	78	23	applications	application	NOUN
cana-2205	78	24	.	.	PUNCT
cana-2205	79	1	4	4	X
cana-2205	79	2	.	.	X
cana-2205	79	3	experimental	experimental	ADJ
cana-2205	79	4	results	result	NOUN
cana-2205	79	5	and	and	CCONJ
cana-2205	79	6	discussion	discussion	NOUN
cana-2205	79	7	the	the	DET
cana-2205	79	8	datasets	dataset	NOUN
cana-2205	79	9	used	use	VERB
cana-2205	79	10	,	,	PUNCT
cana-2205	79	11	pre	pre	ADJ
cana-2205	79	12	-	-	ADJ
cana-2205	79	13	processing	processing	ADJ
cana-2205	79	14	methods	method	NOUN
cana-2205	79	15	,	,	PUNCT
cana-2205	79	16	network	network	NOUN
cana-2205	79	17	design	design	NOUN
cana-2205	79	18	details	detail	NOUN
cana-2205	79	19	,	,	PUNCT
cana-2205	79	20	and	and	CCONJ
cana-2205	79	21	training	training	NOUN
cana-2205	79	22	methodology	methodology	NOUN
cana-2205	79	23	are	be	AUX
cana-2205	79	24	all	all	PRON
cana-2205	79	25	part	part	NOUN
cana-2205	79	26	of	of	ADP
cana-2205	79	27	a	a	DET
cana-2205	79	28	typical	typical	ADJ
cana-2205	79	29	experimental	experimental	ADJ
cana-2205	79	30	setup	setup	NOUN
cana-2205	79	31	for	for	ADP
cana-2205	79	32	assessing	assess	VERB
cana-2205	79	33	3d	3d	PROPN
cana-2205	79	34	cnns	cnns	PROPN
cana-2205	79	35	.	.	PROPN
cana-2205	80	1	accuracy	accuracy	NOUN
cana-2205	80	2	,	,	PUNCT
cana-2205	80	3	precision	precision	NOUN
cana-2205	80	4	,	,	PUNCT
cana-2205	80	5	recall	recall	NOUN
cana-2205	80	6	,	,	PUNCT
cana-2205	80	7	f1	f1	NOUN
cana-2205	80	8	score	score	NOUN
cana-2205	80	9	,	,	PUNCT
cana-2205	80	10	and	and	CCONJ
cana-2205	80	11	occasionally	occasionally	ADV
cana-2205	80	12	more	more	ADV
cana-2205	80	13	specialized	specialized	ADJ
cana-2205	80	14	metrics	metric	NOUN
cana-2205	80	15	like	like	ADP
cana-2205	80	16	mean	mean	VERB
cana-2205	80	17	average	average	ADJ
cana-2205	80	18	precision	precision	NOUN
cana-2205	80	19	(	(	PUNCT
cana-2205	80	20	map	map	NOUN
cana-2205	80	21	)	)	PUNCT
cana-2205	80	22	or	or	CCONJ
cana-2205	80	23	area	area	NOUN
cana-2205	80	24	under	under	ADP
cana-2205	80	25	the	the	DET
cana-2205	80	26	curve	curve	NOUN
cana-2205	80	27	(	(	PUNCT
cana-2205	80	28	auc	auc	NOUN
cana-2205	80	29	)	)	PUNCT
cana-2205	80	30	for	for	ADP
cana-2205	80	31	roc	roc	PROPN
cana-2205	80	32	curves	curve	NOUN
cana-2205	80	33	are	be	AUX
cana-2205	80	34	standard	standard	ADJ
cana-2205	80	35	metrics	metric	NOUN
cana-2205	80	36	for	for	ADP
cana-2205	80	37	performance	performance	NOUN
cana-2205	80	38	measurement	measurement	NOUN
cana-2205	80	39	.	.	PUNCT
cana-2205	81	1	datasets	dataset	NOUN
cana-2205	81	2	are	be	AUX
cana-2205	81	3	collected	collect	VERB
cana-2205	81	4	from	from	ADP
cana-2205	81	5	ucf101	ucf101	PROPN
cana-2205	81	6	,	,	PUNCT
cana-2205	81	7	an	an	DET
cana-2205	81	8	action	action	NOUN
cana-2205	81	9	-	-	PUNCT
cana-2205	81	10	rich	rich	ADJ
cana-2205	81	11	dataset	dataset	NOUN
cana-2205	81	12	with	with	ADP
cana-2205	81	13	101	101	NUM
cana-2205	81	14	action	action	NOUN
cana-2205	81	15	categories	category	NOUN
cana-2205	81	16	that	that	PRON
cana-2205	81	17	serves	serve	VERB
cana-2205	81	18	as	as	ADP
cana-2205	81	19	a	a	DET
cana-2205	81	20	common	common	ADJ
cana-2205	81	21	baseline	baseline	NOUN
cana-2205	81	22	for	for	ADP
cana-2205	81	23	assessing	assess	VERB
cana-2205	81	24	how	how	SCONJ
cana-2205	81	25	well	well	ADV
cana-2205	81	26	video	video	NOUN
cana-2205	81	27	recognition	recognition	NOUN
cana-2205	81	28	models	model	NOUN
cana-2205	81	29	perform	perform	VERB
cana-2205	81	30	.	.	PUNCT
cana-2205	82	1	hmdb51	hmdb51	PROPN
cana-2205	82	2	:	:	PUNCT
cana-2205	82	3	another	another	DET
cana-2205	82	4	well	well	ADV
cana-2205	82	5	-	-	PUNCT
cana-2205	82	6	known	know	VERB
cana-2205	82	7	dataset	dataset	NOUN
cana-2205	82	8	that	that	PRON
cana-2205	82	9	is	be	AUX
cana-2205	82	10	frequently	frequently	ADV
cana-2205	82	11	used	use	VERB
cana-2205	82	12	to	to	PART
cana-2205	82	13	evaluate	evaluate	VERB
cana-2205	82	14	model	model	NOUN
cana-2205	82	15	performance	performance	NOUN
cana-2205	82	16	in	in	ADP
cana-2205	82	17	more	more	ADV
cana-2205	82	18	difficult	difficult	ADJ
cana-2205	82	19	situations	situation	NOUN
cana-2205	82	20	,	,	PUNCT
cana-2205	82	21	comprising	comprise	VERB
cana-2205	82	22	51	51	NUM
cana-2205	82	23	action	action	NOUN
cana-2205	82	24	categories	category	NOUN
cana-2205	82	25	with	with	ADP
cana-2205	82	26	a	a	DET
cana-2205	82	27	minimum	minimum	NOUN
cana-2205	82	28	of	of	ADP
cana-2205	82	29	101	101	NUM
cana-2205	82	30	clips	clip	NOUN
cana-2205	82	31	each	each	PRON
cana-2205	82	32	.	.	PUNCT
cana-2205	83	1	kinetics	kinetic	NOUN
cana-2205	83	2	:	:	PUNCT
cana-2205	83	3	a	a	DET
cana-2205	83	4	massive	massive	ADJ
cana-2205	83	5	deepmind	deepmind	NOUN
cana-2205	83	6	dataset	dataset	NOUN
cana-2205	83	7	with	with	ADP
cana-2205	83	8	thousands	thousand	NOUN
cana-2205	83	9	of	of	ADP
cana-2205	83	10	video	video	NOUN
cana-2205	83	11	clips	clip	NOUN
cana-2205	83	12	organised	organise	VERB
cana-2205	83	13	into	into	ADP
cana-2205	83	14	several	several	ADJ
cana-2205	83	15	hundred	hundred	NUM
cana-2205	83	16	action	action	NOUN
cana-2205	83	17	categories	category	NOUN
cana-2205	83	18	.	.	PUNCT
cana-2205	84	1	this	this	DET
cana-2205	84	2	dataset	dataset	NOUN
cana-2205	84	3	is	be	AUX
cana-2205	84	4	essential	essential	ADJ
cana-2205	84	5	for	for	ADP
cana-2205	84	6	training	training	NOUN
cana-2205	84	7	algorithms	algorithm	NOUN
cana-2205	84	8	that	that	PRON
cana-2205	84	9	identify	identify	VERB
cana-2205	84	10	a	a	DET
cana-2205	84	11	broad	broad	ADJ
cana-2205	84	12	range	range	NOUN
cana-2205	84	13	of	of	ADP
cana-2205	84	14	human	human	ADJ
cana-2205	84	15	behaviors	behavior	NOUN
cana-2205	84	16	in	in	ADP
cana-2205	84	17	various	various	ADJ
cana-2205	84	18	contexts	contexts	NOUN
cana-2205	84	19	.	.	PUNCT
cana-2205	85	1	the	the	DET
cana-2205	85	2	c3d	c3d	PROPN
cana-2205	85	3	model	model	NOUN
cana-2205	85	4	was	be	AUX
cana-2205	85	5	one	one	NUM
cana-2205	85	6	of	of	ADP
cana-2205	85	7	the	the	DET
cana-2205	85	8	first	first	ADJ
cana-2205	85	9	to	to	PART
cana-2205	85	10	demonstrate	demonstrate	VERB
cana-2205	85	11	the	the	DET
cana-2205	85	12	effectiveness	effectiveness	NOUN
cana-2205	85	13	of	of	ADP
cana-2205	85	14	3d	3d	PROPN
cana-2205	85	15	cnns	cnn	NOUN
cana-2205	85	16	across	across	ADP
cana-2205	85	17	various	various	ADJ
cana-2205	85	18	datasets	dataset	NOUN
cana-2205	85	19	.	.	PUNCT
cana-2205	86	1	on	on	ADP
cana-2205	86	2	the	the	DET
cana-2205	86	3	ucf101	ucf101	PROPN
cana-2205	86	4	dataset	dataset	NOUN
cana-2205	86	5	,	,	PUNCT
cana-2205	86	6	c3d	c3d	NOUN
cana-2205	86	7	achieved	achieve	VERB
cana-2205	86	8	a	a	DET
cana-2205	86	9	remarkable	remarkable	ADJ
cana-2205	86	10	accuracy	accuracy	NOUN
cana-2205	86	11	of	of	ADP
cana-2205	86	12	around	around	ADP
cana-2205	86	13	99.8	99.8	NUM
cana-2205	86	14	%	%	NOUN
cana-2205	86	15	,	,	PUNCT
cana-2205	86	16	a	a	DET
cana-2205	86	17	significant	significant	ADJ
cana-2205	86	18	improvement	improvement	NOUN
cana-2205	86	19	over	over	ADP
cana-2205	86	20	earlier	early	ADJ
cana-2205	86	21	2d	2d	NUM
cana-2205	86	22	cnn	cnn	PROPN
cana-2205	86	23	benchmarks	benchmark	NOUN
cana-2205	86	24	,	,	PUNCT
cana-2205	86	25	which	which	PRON
cana-2205	86	26	hovered	hover	VERB
cana-2205	86	27	around	around	ADV
cana-2205	86	28	80	80	NUM
cana-2205	86	29	-	-	SYM
cana-2205	86	30	85	85	NUM
cana-2205	86	31	%	%	NOUN
cana-2205	86	32	.	.	PUNCT
cana-2205	87	1	for	for	ADP
cana-2205	87	2	the	the	DET
cana-2205	87	3	hmdb51	hmdb51	PROPN
cana-2205	87	4	dataset	dataset	NOUN
cana-2205	87	5	,	,	PUNCT
cana-2205	87	6	the	the	DET
cana-2205	87	7	model	model	NOUN
cana-2205	87	8	achieved	achieve	VERB
cana-2205	87	9	an	an	DET
cana-2205	87	10	accuracy	accuracy	NOUN
cana-2205	87	11	of	of	ADP
cana-2205	87	12	approximately	approximately	ADV
cana-2205	87	13	91	91	NUM
cana-2205	87	14	%	%	NOUN
cana-2205	87	15	,	,	PUNCT
cana-2205	87	16	underscoring	underscore	VERB
cana-2205	87	17	the	the	DET
cana-2205	87	18	increased	increase	VERB
cana-2205	87	19	challenge	challenge	NOUN
cana-2205	87	20	posed	pose	VERB
cana-2205	87	21	by	by	ADP
cana-2205	87	22	this	this	DET
cana-2205	87	23	dataset4	dataset4	NOUN
cana-2205	87	24	.	.	PUNCT
cana-2205	88	1	3d	3d	NUM
cana-2205	88	2	convolutional	convolutional	ADJ
cana-2205	88	3	neural	neural	ADJ
cana-2205	88	4	networks	network	NOUN
cana-2205	88	5	(	(	PUNCT
cana-2205	88	6	3d	3d	NOUN
cana-2205	88	7	-	-	PUNCT
cana-2205	88	8	cnns	cnn	NOUN
cana-2205	88	9	)	)	PUNCT
cana-2205	88	10	have	have	AUX
cana-2205	88	11	proven	prove	VERB
cana-2205	88	12	to	to	PART
cana-2205	88	13	be	be	AUX
cana-2205	88	14	effective	effective	ADJ
cana-2205	88	15	at	at	ADP
cana-2205	88	16	identifying	identify	VERB
cana-2205	88	17	temporal	temporal	ADJ
cana-2205	88	18	and	and	CCONJ
cana-2205	88	19	spatial	spatial	ADJ
cana-2205	88	20	dependencies	dependency	NOUN
cana-2205	88	21	in	in	ADP
cana-2205	88	22	video	video	NOUN
cana-2205	88	23	data	datum	NOUN
cana-2205	88	24	when	when	SCONJ
cana-2205	88	25	it	it	PRON
cana-2205	88	26	comes	come	VERB
cana-2205	88	27	to	to	ADP
cana-2205	88	28	video	video	NOUN
cana-2205	88	29	recognition	recognition	NOUN
cana-2205	88	30	.	.	PUNCT
cana-2205	89	1	by	by	ADP
cana-2205	89	2	applying	apply	VERB
cana-2205	89	3	filters	filter	NOUN
cana-2205	89	4	in	in	ADP
cana-2205	89	5	three	three	NUM
cana-2205	89	6	dimensions	dimension	NOUN
cana-2205	89	7	width	width	NOUN
cana-2205	89	8	,	,	PUNCT
cana-2205	89	9	height	height	NOUN
cana-2205	89	10	,	,	PUNCT
cana-2205	89	11	and	and	CCONJ
cana-2205	89	12	time	time	NOUN
cana-2205	89	13	these	these	DET
cana-2205	89	14	models	model	NOUN
cana-2205	89	15	improve	improve	VERB
cana-2205	89	16	upon	upon	SCONJ
cana-2205	89	17	the	the	DET
cana-2205	89	18	conventional	conventional	ADJ
cana-2205	89	19	2d	2d	NOUN
cana-2205	89	20	convolutions	convolution	NOUN
cana-2205	89	21	by	by	ADP
cana-2205	89	22	processing	process	VERB
cana-2205	89	23	many	many	ADJ
cana-2205	89	24	frames	frame	NOUN
cana-2205	89	25	at	at	ADP
cana-2205	89	26	once	once	ADV
cana-2205	89	27	and	and	CCONJ
cana-2205	89	28	comprehending	comprehending	ADJ
cana-2205	89	29	motion	motion	NOUN
cana-2205	89	30	more	more	ADV
cana-2205	89	31	fully	fully	ADV
cana-2205	89	32	than	than	ADP
cana-2205	89	33	their	their	PRON
cana-2205	89	34	2d	2d	NUM
cana-2205	89	35	equivalents	equivalent	NOUN
cana-2205	89	36	.	.	PUNCT
cana-2205	90	1	in	in	ADP
cana-2205	90	2	3d	3d	NOUN
cana-2205	90	3	-	-	PUNCT
cana-2205	90	4	cnns	cnns	ADJ
cana-2205	90	5	,	,	PUNCT
cana-2205	90	6	accuracy	accuracy	NOUN
cana-2205	90	7	is	be	AUX
cana-2205	90	8	the	the	DET
cana-2205	90	9	model	model	NOUN
cana-2205	90	10	's	's	PART
cana-2205	90	11	total	total	ADJ
cana-2205	90	12	correctness	correctness	NOUN
cana-2205	90	13	over	over	ADP
cana-2205	90	14	all	all	DET
cana-2205	90	15	classes	class	NOUN
cana-2205	90	16	.	.	PUNCT
cana-2205	91	1	it	it	PRON
cana-2205	91	2	is	be	AUX
cana-2205	91	3	especially	especially	ADV
cana-2205	91	4	crucial	crucial	ADJ
cana-2205	91	5	in	in	ADP
cana-2205	91	6	situations	situation	NOUN
cana-2205	91	7	where	where	SCONJ
cana-2205	91	8	the	the	DET
cana-2205	91	9	video	video	NOUN
cana-2205	91	10	recognition	recognition	NOUN
cana-2205	91	11	system	system	NOUN
cana-2205	91	12	's	's	PART
cana-2205	91	13	overall	overall	ADJ
cana-2205	91	14	efficacy	efficacy	NOUN
cana-2205	91	15	is	be	AUX
cana-2205	91	16	at	at	ADP
cana-2205	91	17	stake	stake	NOUN
cana-2205	91	18	,	,	PUNCT
cana-2205	91	19	like	like	ADP
cana-2205	91	20	in	in	ADP
cana-2205	91	21	surveillance	surveillance	NOUN
cana-2205	91	22	or	or	CCONJ
cana-2205	91	23	medical	medical	ADJ
cana-2205	91	24	monitoring	monitoring	NOUN
cana-2205	91	25	.	.	PUNCT
cana-2205	92	1	both	both	DET
cana-2205	92	2	precision	precision	NOUN
cana-2205	92	3	and	and	CCONJ
cana-2205	92	4	recall	recall	NOUN
cana-2205	92	5	are	be	AUX
cana-2205	92	6	important	important	ADJ
cana-2205	92	7	metrics	metric	NOUN
cana-2205	92	8	to	to	PART
cana-2205	92	9	consider	consider	VERB
cana-2205	92	10	,	,	PUNCT
cana-2205	92	11	particularly	particularly	ADV
cana-2205	92	12	when	when	SCONJ
cana-2205	92	13	dealing	deal	VERB
cana-2205	92	14	with	with	ADP
cana-2205	92	15	imbalanced	imbalanced	ADJ
cana-2205	92	16	datasets	dataset	NOUN
cana-2205	92	17	that	that	PRON
cana-2205	92	18	have	have	VERB
cana-2205	92	19	underrepresented	underrepresented	ADJ
cana-2205	92	20	classes	class	NOUN
cana-2205	92	21	.	.	PUNCT
cana-2205	93	1	precision	precision	NOUN
cana-2205	93	2	gauges	gauge	VERB
cana-2205	93	3	how	how	SCONJ
cana-2205	93	4	well	well	ADV
cana-2205	93	5	the	the	DET
cana-2205	93	6	model	model	NOUN
cana-2205	93	7	can	can	AUX
cana-2205	93	8	reduce	reduce	VERB
cana-2205	93	9	false	false	ADJ
cana-2205	93	10	positives	positive	NOUN
cana-2205	93	11	by	by	ADP
cana-2205	93	12	calculating	calculate	VERB
cana-2205	93	13	the	the	DET
cana-2205	93	14	accuracy	accuracy	NOUN
cana-2205	93	15	of	of	ADP
cana-2205	93	16	the	the	DET
cana-2205	93	17	predictions	prediction	NOUN
cana-2205	93	18	made	make	VERB
cana-2205	93	19	in	in	ADP
cana-2205	93	20	the	the	DET
cana-2205	93	21	positive	positive	ADJ
cana-2205	93	22	class	class	NOUN
cana-2205	93	23	as	as	SCONJ
cana-2205	93	24	shown	show	VERB
cana-2205	93	25	in	in	ADP
cana-2205	93	26	figure	figure	NOUN
cana-2205	93	27	2	2	NUM
cana-2205	93	28	.	.	PUNCT
cana-2205	94	1	the	the	DET
cana-2205	94	2	accuracy	accuracy	NOUN
cana-2205	94	3	,	,	PUNCT
cana-2205	94	4	precision	precision	NOUN
cana-2205	94	5	and	and	CCONJ
cana-2205	94	6	recall	recall	NOUN
cana-2205	94	7	has	have	AUX
cana-2205	94	8	reported	report	VERB
cana-2205	94	9	more	more	ADJ
cana-2205	94	10	than	than	ADP
cana-2205	94	11	99.6	99.6	NUM
cana-2205	94	12	%	%	NOUN
cana-2205	94	13	.	.	PUNCT
cana-2205	95	1	figure	figure	NOUN
cana-2205	95	2	2	2	NUM
cana-2205	95	3	:	:	PUNCT
cana-2205	95	4	accuracy	accuracy	NOUN
cana-2205	95	5	,	,	PUNCT
cana-2205	95	6	precision	precision	NOUN
cana-2205	95	7	,	,	PUNCT
cana-2205	95	8	recall	recall	VERB
cana-2205	95	9	for	for	ADP
cana-2205	95	10	3dvideo	3dvideo	NUM
cana-2205	95	11	recognition	recognition	NOUN
cana-2205	95	12	communications	communication	NOUN
cana-2205	95	13	on	on	ADP
cana-2205	95	14	applied	apply	VERB
cana-2205	95	15	nonlinear	nonlinear	ADJ
cana-2205	95	16	analysis	analysis	NOUN
cana-2205	95	17	issn	issn	NOUN
cana-2205	95	18	:	:	PUNCT
cana-2205	95	19	1074	1074	NUM
cana-2205	95	20	-	-	PUNCT
cana-2205	95	21	133x	133x	NUM
cana-2205	95	22	vol	vol	NOUN
cana-2205	95	23	32	32	NUM
cana-2205	95	24	no	no	NOUN
cana-2205	95	25	.	.	PUNCT
cana-2205	96	1	1s	1s	NUM
cana-2205	96	2	(	(	PUNCT
cana-2205	96	3	2025	2025	NUM
cana-2205	96	4	)	)	PUNCT
cana-2205	96	5	416	416	NUM
cana-2205	96	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2205	96	7	figure	figure	NOUN
cana-2205	96	8	3	3	NUM
cana-2205	96	9	:	:	PUNCT
cana-2205	96	10	roc	roc	NOUN
cana-2205	96	11	and	and	CCONJ
cana-2205	96	12	pr	pr	NOUN
cana-2205	96	13	curve	curve	NOUN
cana-2205	96	14	for	for	ADP
cana-2205	96	15	3dvideo	3dvideo	NUM
cana-2205	96	16	recognition	recognition	NOUN
cana-2205	96	17	figure	figure	NOUN
cana-2205	96	18	4	4	NUM
cana-2205	96	19	:	:	PUNCT
cana-2205	96	20	map	map	VERB
cana-2205	96	21	and	and	CCONJ
cana-2205	96	22	loss	loss	NOUN
cana-2205	96	23	across	across	ADP
cana-2205	96	24	epoch	epoch	NOUN
cana-2205	96	25	for	for	ADP
cana-2205	96	26	3dvideo	3dvideo	NUM
cana-2205	96	27	recognition	recognition	NOUN
cana-2205	96	28	figure	figure	NOUN
cana-2205	96	29	5	5	NUM
cana-2205	96	30	:	:	PUNCT
cana-2205	96	31	video	video	NOUN
cana-2205	96	32	recognition	recognition	NOUN
cana-2205	96	33	performance	performance	NOUN
cana-2205	96	34	comparisons	comparison	NOUN
cana-2205	96	35	with	with	ADP
cana-2205	96	36	various	various	ADJ
cana-2205	96	37	models	model	NOUN
cana-2205	96	38	to	to	PART
cana-2205	96	39	evaluate	evaluate	VERB
cana-2205	96	40	the	the	DET
cana-2205	96	41	effectiveness	effectiveness	NOUN
cana-2205	96	42	of	of	ADP
cana-2205	96	43	3d	3d	NUM
cana-2205	96	44	convolutional	convolutional	ADJ
cana-2205	96	45	neural	neural	ADJ
cana-2205	96	46	networks	network	NOUN
cana-2205	96	47	(	(	PUNCT
cana-2205	96	48	3d	3d	NOUN
cana-2205	96	49	-	-	PUNCT
cana-2205	96	50	cnns	cnns	NOUN
cana-2205	96	51	)	)	PUNCT
cana-2205	96	52	in	in	ADP
cana-2205	96	53	video	video	NOUN
cana-2205	96	54	recognition	recognition	NOUN
cana-2205	96	55	tasks	task	NOUN
cana-2205	96	56	,	,	PUNCT
cana-2205	96	57	two	two	NUM
cana-2205	96	58	essential	essential	ADJ
cana-2205	96	59	assessment	assessment	NOUN
cana-2205	96	60	methods	method	NOUN
cana-2205	96	61	are	be	AUX
cana-2205	96	62	the	the	DET
cana-2205	96	63	receiver	receiver	ADV
cana-2205	96	64	operating	operate	VERB
cana-2205	96	65	characteristic	characteristic	NOUN
cana-2205	96	66	(	(	PUNCT
cana-2205	96	67	roc	roc	PROPN
cana-2205	96	68	)	)	PUNCT
cana-2205	96	69	and	and	CCONJ
cana-2205	96	70	precision	precision	NOUN
cana-2205	96	71	-	-	PUNCT
cana-2205	96	72	recall	recall	NOUN
cana-2205	96	73	(	(	PUNCT
cana-2205	96	74	pr	pr	NOUN
cana-2205	96	75	)	)	PUNCT
cana-2205	96	76	curves	curve	NOUN
cana-2205	96	77	.	.	PUNCT
cana-2205	97	1	the	the	DET
cana-2205	97	2	true	true	ADJ
cana-2205	97	3	positive	positive	ADJ
cana-2205	97	4	rate	rate	NOUN
cana-2205	97	5	(	(	PUNCT
cana-2205	97	6	tpr	tpr	NOUN
cana-2205	97	7	)	)	PUNCT
cana-2205	97	8	against	against	ADP
cana-2205	97	9	false	false	ADJ
cana-2205	97	10	positive	positive	ADJ
cana-2205	97	11	rate	rate	NOUN
cana-2205	97	12	(	(	PUNCT
cana-2205	97	13	fpr	fpr	NOUN
cana-2205	97	14	)	)	PUNCT
cana-2205	97	15	at	at	ADP
cana-2205	97	16	various	various	ADJ
cana-2205	97	17	threshold	threshold	NOUN
cana-2205	97	18	settings	setting	NOUN
cana-2205	97	19	is	be	AUX
cana-2205	97	20	plotted	plot	VERB
cana-2205	97	21	on	on	ADP
cana-2205	97	22	the	the	DET
cana-2205	97	23	roc	roc	PROPN
cana-2205	97	24	curve	curve	NOUN
cana-2205	97	25	,	,	PUNCT
cana-2205	97	26	which	which	PRON
cana-2205	97	27	offers	offer	VERB
cana-2205	97	28	information	information	NOUN
cana-2205	97	29	on	on	ADP
cana-2205	97	30	how	how	SCONJ
cana-2205	97	31	well	well	ADV
cana-2205	97	32	the	the	DET
cana-2205	97	33	model	model	NOUN
cana-2205	97	34	discriminates	discriminate	VERB
cana-2205	97	35	across	across	ADP
cana-2205	97	36	classes	class	NOUN
cana-2205	97	37	at	at	ADP
cana-2205	97	38	various	various	ADJ
cana-2205	97	39	thresholds	threshold	NOUN
cana-2205	97	40	.	.	PUNCT
cana-2205	98	1	an	an	DET
cana-2205	98	2	auc	auc	NOUN
cana-2205	98	3	that	that	PRON
cana-2205	98	4	is	be	AUX
cana-2205	98	5	near	near	ADJ
cana-2205	98	6	to	to	ADP
cana-2205	98	7	one	one	NUM
cana-2205	98	8	signifies	signifie	NOUN
cana-2205	98	9	exceptional	exceptional	ADJ
cana-2205	98	10	model	model	NOUN
cana-2205	98	11	performance.plotting	performance.plotte	VERB
cana-2205	98	12	precision	precision	NOUN
cana-2205	98	13	against	against	ADP
cana-2205	98	14	recall	recall	NOUN
cana-2205	98	15	for	for	ADP
cana-2205	98	16	various	various	ADJ
cana-2205	98	17	threshold	threshold	NOUN
cana-2205	98	18	values	value	NOUN
cana-2205	98	19	,	,	PUNCT
cana-2205	98	20	the	the	DET
cana-2205	98	21	pr	pr	NOUN
cana-2205	98	22	curve	curve	NOUN
cana-2205	98	23	is	be	AUX
cana-2205	98	24	especially	especially	ADV
cana-2205	98	25	helpful	helpful	ADJ
cana-2205	98	26	in	in	ADP
cana-2205	98	27	situations	situation	NOUN
cana-2205	98	28	where	where	SCONJ
cana-2205	98	29	there	there	PRON
cana-2205	98	30	is	be	VERB
cana-2205	98	31	a	a	DET
cana-2205	98	32	large	large	ADJ
cana-2205	98	33	class	class	NOUN
cana-2205	98	34	imbalance	imbalance	NOUN
cana-2205	98	35	.	.	PUNCT
cana-2205	99	1	an	an	DET
cana-2205	99	2	increased	increase	VERB
cana-2205	99	3	area	area	NOUN
cana-2205	99	4	under	under	ADP
cana-2205	99	5	the	the	DET
cana-2205	99	6	pr	pr	NOUN
cana-2205	99	7	curve	curve	NOUN
cana-2205	99	8	(	(	PUNCT
cana-2205	99	9	ap	ap	PROPN
cana-2205	99	10	)	)	PUNCT
cana-2205	99	11	indicates	indicate	VERB
cana-2205	99	12	that	that	SCONJ
cana-2205	99	13	a	a	DET
cana-2205	99	14	greater	great	ADJ
cana-2205	99	15	percentage	percentage	NOUN
cana-2205	99	16	of	of	ADP
cana-2205	99	17	positive	positive	ADJ
cana-2205	99	18	samples	sample	NOUN
cana-2205	99	19	are	be	AUX
cana-2205	99	20	successfully	successfully	ADV
cana-2205	99	21	retrieved	retrieve	VERB
cana-2205	99	22	by	by	ADP
cana-2205	99	23	the	the	DET
cana-2205	99	24	model	model	NOUN
cana-2205	99	25	while	while	SCONJ
cana-2205	99	26	retaining	retain	VERB
cana-2205	99	27	a	a	DET
cana-2205	99	28	high	high	ADJ
cana-2205	99	29	level	level	NOUN
cana-2205	99	30	of	of	ADP
cana-2205	99	31	precision	precision	NOUN
cana-2205	99	32	as	as	ADP
cana-2205	99	33	in	in	ADP
cana-2205	99	34	figure	figure	NOUN
cana-2205	99	35	3	3	X
cana-2205	99	36	.	.	PUNCT
cana-2205	100	1	it	it	PRON
cana-2205	100	2	is	be	AUX
cana-2205	100	3	crucial	crucial	ADJ
cana-2205	100	4	to	to	PART
cana-2205	100	5	track	track	VERB
cana-2205	100	6	mean	mean	VERB
cana-2205	100	7	average	average	ADJ
cana-2205	100	8	precision	precision	NOUN
cana-2205	100	9	(	(	PUNCT
cana-2205	100	10	map	map	NOUN
cana-2205	100	11	)	)	PUNCT
cana-2205	100	12	and	and	CCONJ
cana-2205	100	13	loss	loss	NOUN
cana-2205	100	14	metrics	metric	NOUN
cana-2205	100	15	over	over	ADP
cana-2205	100	16	epochs	epoch	NOUN
cana-2205	100	17	when	when	SCONJ
cana-2205	100	18	training	train	VERB
cana-2205	100	19	3d	3d	NUM
cana-2205	100	20	convolutional	convolutional	ADJ
cana-2205	100	21	neural	neural	ADJ
cana-2205	100	22	networks	network	NOUN
cana-2205	100	23	(	(	PUNCT
cana-2205	100	24	3d	3d	NOUN
cana-2205	100	25	-	-	PUNCT
cana-2205	100	26	cnns	cnns	NOUN
cana-2205	100	27	)	)	PUNCT
cana-2205	100	28	for	for	ADP
cana-2205	100	29	video	video	NOUN
cana-2205	100	30	recognition	recognition	NOUN
cana-2205	100	31	in	in	ADP
cana-2205	100	32	order	order	NOUN
cana-2205	100	33	to	to	PART
cana-2205	100	34	assess	assess	VERB
cana-2205	100	35	model	model	NOUN
cana-2205	100	36	performance	performance	NOUN
cana-2205	100	37	and	and	CCONJ
cana-2205	100	38	convergence	convergence	NOUN
cana-2205	100	39	.	.	PUNCT
cana-2205	101	1	a	a	DET
cana-2205	101	2	complete	complete	ADJ
cana-2205	101	3	measure	measure	NOUN
cana-2205	101	4	of	of	ADP
cana-2205	101	5	precision	precision	NOUN
cana-2205	101	6	across	across	ADP
cana-2205	101	7	different	different	ADJ
cana-2205	101	8	recall	recall	NOUN
cana-2205	101	9	levels	level	NOUN
cana-2205	101	10	,	,	PUNCT
cana-2205	101	11	the	the	DET
cana-2205	101	12	map	map	NOUN
cana-2205	101	13	metric	metric	NOUN
cana-2205	101	14	is	be	AUX
cana-2205	101	15	computed	compute	VERB
cana-2205	101	16	for	for	ADP
cana-2205	101	17	each	each	DET
cana-2205	101	18	epoch	epoch	NOUN
cana-2205	101	19	and	and	CCONJ
cana-2205	101	20	is	be	AUX
cana-2205	101	21	especially	especially	ADV
cana-2205	101	22	significant	significant	ADJ
cana-2205	101	23	when	when	SCONJ
cana-2205	101	24	processing	process	VERB
cana-2205	101	25	numerous	numerous	ADJ
cana-2205	101	26	classes	class	NOUN
cana-2205	101	27	in	in	ADP
cana-2205	101	28	video	video	NOUN
cana-2205	101	29	data	datum	NOUN
cana-2205	101	30	.	.	PUNCT
cana-2205	102	1	greater	great	ADJ
cana-2205	102	2	overall	overall	ADJ
cana-2205	102	3	model	model	NOUN
cana-2205	102	4	accuracy	accuracy	NOUN
cana-2205	102	5	in	in	ADP
cana-2205	102	6	differentiating	differentiate	VERB
cana-2205	102	7	between	between	ADP
cana-2205	102	8	various	various	ADJ
cana-2205	102	9	actions	action	NOUN
cana-2205	102	10	or	or	CCONJ
cana-2205	102	11	events	event	NOUN
cana-2205	102	12	within	within	ADP
cana-2205	102	13	the	the	DET
cana-2205	102	14	films	film	NOUN
cana-2205	102	15	is	be	AUX
cana-2205	102	16	indicated	indicate	VERB
cana-2205	102	17	by	by	ADP
cana-2205	102	18	a	a	DET
cana-2205	102	19	higher	high	ADJ
cana-2205	102	20	map	map	NOUN
cana-2205	102	21	value.on	value.on	ADP
cana-2205	102	22	the	the	DET
cana-2205	102	23	other	other	ADJ
cana-2205	102	24	hand	hand	NOUN
cana-2205	102	25	,	,	PUNCT
cana-2205	102	26	the	the	DET
cana-2205	102	27	loss	loss	NOUN
cana-2205	102	28	metric	metric	ADJ
cana-2205	102	29	measures	measure	NOUN
cana-2205	102	30	how	how	SCONJ
cana-2205	102	31	effectively	effectively	ADV
cana-2205	102	32	the	the	DET
cana-2205	102	33	model	model	NOUN
cana-2205	102	34	predicts	predict	VERB
cana-2205	102	35	the	the	DET
cana-2205	102	36	labels	label	NOUN
cana-2205	102	37	;	;	PUNCT
cana-2205	102	38	lower	low	ADJ
cana-2205	102	39	values	value	NOUN
cana-2205	102	40	correspond	correspond	VERB
cana-2205	102	41	to	to	ADP
cana-2205	102	42	greater	great	ADJ
cana-2205	102	43	performance	performance	NOUN
cana-2205	102	44	.	.	PUNCT
cana-2205	103	1	generally	generally	ADV
cana-2205	103	2	,	,	PUNCT
cana-2205	103	3	the	the	DET
cana-2205	103	4	loss	loss	NOUN
cana-2205	103	5	should	should	AUX
cana-2205	103	6	go	go	VERB
cana-2205	103	7	down	down	ADP
cana-2205	103	8	as	as	SCONJ
cana-2205	103	9	the	the	DET
cana-2205	103	10	epochs	epoch	NOUN
cana-2205	103	11	go	go	VERB
cana-2205	103	12	on	on	ADV
cana-2205	103	13	,	,	PUNCT
cana-2205	103	14	indicating	indicate	VERB
cana-2205	103	15	that	that	SCONJ
cana-2205	103	16	the	the	DET
cana-2205	103	17	model	model	NOUN
cana-2205	103	18	is	be	AUX
cana-2205	103	19	learning	learn	VERB
cana-2205	103	20	efficiently	efficiently	ADV
cana-2205	103	21	as	as	SCONJ
cana-2205	103	22	shown	show	VERB
cana-2205	103	23	in	in	ADP
cana-2205	103	24	figure	figure	NOUN
cana-2205	103	25	4	4	NUM
cana-2205	103	26	.	.	PUNCT
cana-2205	103	27	particularly	particularly	ADV
cana-2205	103	28	designed	design	VERB
cana-2205	103	29	for	for	ADP
cana-2205	103	30	handling	handle	VERB
cana-2205	103	31	spatiotemporal	spatiotemporal	ADJ
cana-2205	103	32	data	datum	NOUN
cana-2205	103	33	are	be	AUX
cana-2205	103	34	3d	3d	NOUN
cana-2205	103	35	-	-	PUNCT
cana-2205	103	36	cnns	cnns	NOUN
cana-2205	103	37	.	.	PUNCT
cana-2205	104	1	3d	3d	NUM
cana-2205	104	2	-	-	PUNCT
cana-2205	104	3	cnns	cnn	NOUN
cana-2205	104	4	are	be	AUX
cana-2205	104	5	superior	superior	ADJ
cana-2205	104	6	at	at	ADP
cana-2205	104	7	collecting	collect	VERB
cana-2205	104	8	motion	motion	NOUN
cana-2205	104	9	information	information	NOUN
cana-2205	104	10	in	in	ADP
cana-2205	104	11	videos	video	NOUN
cana-2205	104	12	because	because	SCONJ
cana-2205	104	13	they	they	PRON
cana-2205	104	14	expand	expand	VERB
cana-2205	104	15	conventional	conventional	ADJ
cana-2205	104	16	cnns	cnn	NOUN
cana-2205	104	17	to	to	PART
cana-2205	104	18	incorporate	incorporate	VERB
cana-2205	104	19	the	the	DET
cana-2205	104	20	temporal	temporal	ADJ
cana-2205	104	21	dimension	dimension	NOUN
cana-2205	104	22	directly	directly	ADV
cana-2205	104	23	in	in	ADP
cana-2205	104	24	the	the	DET
cana-2205	104	25	convolutional	convolutional	ADJ
cana-2205	104	26	layers	layer	NOUN
cana-2205	104	27	.	.	PUNCT
cana-2205	105	1	their	their	PRON
cana-2205	105	2	capacity	capacity	NOUN
cana-2205	105	3	to	to	PART
cana-2205	105	4	comprehend	comprehend	VERB
cana-2205	105	5	temporal	temporal	ADJ
cana-2205	105	6	communications	communication	NOUN
cana-2205	105	7	on	on	ADP
cana-2205	105	8	applied	apply	VERB
cana-2205	105	9	nonlinear	nonlinear	ADJ
cana-2205	105	10	analysis	analysis	NOUN
cana-2205	105	11	issn	issn	NOUN
cana-2205	105	12	:	:	PUNCT
cana-2205	105	13	1074	1074	NUM
cana-2205	105	14	-	-	PUNCT
cana-2205	105	15	133x	133x	NUM
cana-2205	105	16	vol	vol	NOUN
cana-2205	105	17	32	32	NUM
cana-2205	106	1	no	no	NOUN
cana-2205	106	2	.	.	PUNCT
cana-2205	107	1	1s	1s	NUM
cana-2205	107	2	(	(	PUNCT
cana-2205	107	3	2025	2025	NUM
cana-2205	107	4	)	)	PUNCT
cana-2205	107	5	417	417	NUM
cana-2205	107	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2205	107	7	dynamics	dynamic	NOUN
cana-2205	107	8	makes	make	VERB
cana-2205	107	9	them	they	PRON
cana-2205	107	10	ideal	ideal	ADJ
cana-2205	107	11	for	for	ADP
cana-2205	107	12	activities	activity	NOUN
cana-2205	107	13	where	where	SCONJ
cana-2205	107	14	understanding	understanding	NOUN
cana-2205	107	15	is	be	AUX
cana-2205	107	16	critical	critical	ADJ
cana-2205	107	17	,	,	PUNCT
cana-2205	107	18	such	such	ADJ
cana-2205	107	19	as	as	ADP
cana-2205	107	20	action	action	NOUN
cana-2205	107	21	identification	identification	NOUN
cana-2205	107	22	or	or	CCONJ
cana-2205	107	23	event	event	NOUN
cana-2205	107	24	detection	detection	NOUN
cana-2205	107	25	.	.	PUNCT
cana-2205	108	1	cnns	cnns	PROPN
cana-2205	108	2	are	be	AUX
cana-2205	108	3	good	good	ADJ
cana-2205	108	4	at	at	ADP
cana-2205	108	5	recognizing	recognize	VERB
cana-2205	108	6	spatial	spatial	ADJ
cana-2205	108	7	features	feature	NOUN
cana-2205	108	8	,	,	PUNCT
cana-2205	108	9	but	but	CCONJ
cana-2205	108	10	they	they	PRON
cana-2205	108	11	need	need	VERB
cana-2205	108	12	other	other	ADJ
cana-2205	108	13	processes	process	NOUN
cana-2205	108	14	to	to	PART
cana-2205	108	15	deal	deal	VERB
cana-2205	108	16	with	with	ADP
cana-2205	108	17	the	the	DET
cana-2205	108	18	time	time	NOUN
cana-2205	108	19	part	part	NOUN
cana-2205	108	20	of	of	ADP
cana-2205	108	21	video	video	NOUN
cana-2205	108	22	input	input	NOUN
cana-2205	108	23	,	,	PUNCT
cana-2205	108	24	such	such	ADJ
cana-2205	108	25	as	as	ADP
cana-2205	108	26	optical	optical	ADJ
cana-2205	108	27	flow	flow	NOUN
cana-2205	108	28	or	or	CCONJ
cana-2205	108	29	temporal	temporal	ADJ
cana-2205	108	30	modelling	modelling	NOUN
cana-2205	108	31	.	.	PUNCT
cana-2205	109	1	without	without	ADP
cana-2205	109	2	integration	integration	NOUN
cana-2205	109	3	with	with	ADP
cana-2205	109	4	cnns	cnns	PROPN
cana-2205	109	5	,	,	PUNCT
cana-2205	109	6	rnns	rnn	NOUN
cana-2205	109	7	especially	especially	ADV
cana-2205	109	8	those	those	PRON
cana-2205	109	9	with	with	ADP
cana-2205	109	10	lstm	lstm	NOUN
cana-2205	109	11	or	or	CCONJ
cana-2205	109	12	gru	gru	NOUN
cana-2205	109	13	configurations	configuration	NOUN
cana-2205	109	14	may	may	AUX
cana-2205	109	15	have	have	VERB
cana-2205	109	16	difficulty	difficulty	NOUN
cana-2205	109	17	interpreting	interpret	VERB
cana-2205	109	18	spatial	spatial	ADJ
cana-2205	109	19	features	feature	NOUN
cana-2205	109	20	,	,	PUNCT
cana-2205	109	21	but	but	CCONJ
cana-2205	109	22	they	they	PRON
cana-2205	109	23	are	be	AUX
cana-2205	109	24	excellent	excellent	ADJ
cana-2205	109	25	at	at	ADP
cana-2205	109	26	capturing	capture	VERB
cana-2205	109	27	temporal	temporal	ADJ
cana-2205	109	28	connections	connection	NOUN
cana-2205	109	29	.	.	PUNCT
cana-2205	110	1	on	on	ADP
cana-2205	110	2	the	the	DET
cana-2205	110	3	other	other	ADJ
cana-2205	110	4	hand	hand	NOUN
cana-2205	110	5	,	,	PUNCT
cana-2205	110	6	decision	decision	NOUN
cana-2205	110	7	trees	tree	NOUN
cana-2205	110	8	and	and	CCONJ
cana-2205	110	9	their	their	PRON
cana-2205	110	10	ensembles	ensemble	NOUN
cana-2205	110	11	lack	lack	VERB
cana-2205	110	12	the	the	DET
cana-2205	110	13	capacity	capacity	NOUN
cana-2205	110	14	to	to	PART
cana-2205	110	15	process	process	VERB
cana-2205	110	16	raw	raw	ADJ
cana-2205	110	17	video	video	NOUN
cana-2205	110	18	data	datum	NOUN
cana-2205	110	19	efficiently	efficiently	ADV
cana-2205	110	20	without	without	ADP
cana-2205	110	21	extensive	extensive	ADJ
cana-2205	110	22	feature	feature	NOUN
cana-2205	110	23	engineering	engineering	NOUN
cana-2205	110	24	.	.	PUNCT
cana-2205	111	1	they	they	PRON
cana-2205	111	2	typically	typically	ADV
cana-2205	111	3	underperform	underperform	VERB
cana-2205	111	4	neural	neural	ADJ
cana-2205	111	5	network	network	NOUN
cana-2205	111	6	approaches	approach	NOUN
cana-2205	111	7	due	due	ADJ
cana-2205	111	8	to	to	ADP
cana-2205	111	9	their	their	PRON
cana-2205	111	10	inability	inability	NOUN
cana-2205	111	11	to	to	PART
cana-2205	111	12	capture	capture	VERB
cana-2205	111	13	complex	complex	ADJ
cana-2205	111	14	patterns	pattern	NOUN
cana-2205	111	15	in	in	ADP
cana-2205	111	16	high	high	ADJ
cana-2205	111	17	-	-	PUNCT
cana-2205	111	18	dimensional	dimensional	ADJ
cana-2205	111	19	data	datum	NOUN
cana-2205	111	20	.	.	PUNCT
cana-2205	112	1	in	in	ADP
cana-2205	112	2	performance	performance	NOUN
cana-2205	112	3	metrics	metric	NOUN
cana-2205	112	4	like	like	ADP
cana-2205	112	5	accuracy	accuracy	NOUN
cana-2205	112	6	,	,	PUNCT
cana-2205	112	7	precision	precision	NOUN
cana-2205	112	8	,	,	PUNCT
cana-2205	112	9	recall	recall	NOUN
cana-2205	112	10	,	,	PUNCT
cana-2205	112	11	and	and	CCONJ
cana-2205	112	12	f1	f1	NOUN
cana-2205	112	13	-	-	PUNCT
cana-2205	112	14	score	score	NOUN
cana-2205	112	15	,	,	PUNCT
cana-2205	112	16	3d	3d	NOUN
cana-2205	112	17	-	-	PUNCT
cana-2205	112	18	cnns	cnn	NOUN
cana-2205	112	19	often	often	ADV
cana-2205	112	20	outshine	outshine	VERB
cana-2205	112	21	the	the	DET
cana-2205	112	22	other	other	ADJ
cana-2205	112	23	models	model	NOUN
cana-2205	112	24	in	in	ADP
cana-2205	112	25	comprehensive	comprehensive	ADJ
cana-2205	112	26	video	video	NOUN
cana-2205	112	27	analysis	analysis	NOUN
cana-2205	112	28	tasks	task	NOUN
cana-2205	112	29	due	due	ADP
cana-2205	112	30	to	to	ADP
cana-2205	112	31	their	their	PRON
cana-2205	112	32	integrated	integrate	VERB
cana-2205	112	33	approach	approach	NOUN
cana-2205	112	34	to	to	ADP
cana-2205	112	35	learning	learn	VERB
cana-2205	112	36	both	both	CCONJ
cana-2205	112	37	spatial	spatial	ADJ
cana-2205	112	38	and	and	CCONJ
cana-2205	112	39	temporal	temporal	ADJ
cana-2205	112	40	features	feature	NOUN
cana-2205	112	41	.	.	PUNCT
cana-2205	113	1	however	however	ADV
cana-2205	113	2	,	,	PUNCT
cana-2205	113	3	the	the	DET
cana-2205	113	4	selection	selection	NOUN
cana-2205	113	5	of	of	ADP
cana-2205	113	6	the	the	DET
cana-2205	113	7	most	most	ADV
cana-2205	113	8	appropriate	appropriate	ADJ
cana-2205	113	9	model	model	NOUN
cana-2205	113	10	depends	depend	VERB
cana-2205	113	11	on	on	ADP
cana-2205	113	12	factors	factor	NOUN
cana-2205	113	13	such	such	ADJ
cana-2205	113	14	as	as	ADP
cana-2205	113	15	computational	computational	ADJ
cana-2205	113	16	resources	resource	NOUN
cana-2205	113	17	,	,	PUNCT
cana-2205	113	18	latency	latency	NOUN
cana-2205	113	19	requirements	requirement	NOUN
cana-2205	113	20	,	,	PUNCT
cana-2205	113	21	and	and	CCONJ
cana-2205	113	22	the	the	DET
cana-2205	113	23	specific	specific	ADJ
cana-2205	113	24	characteristics	characteristic	NOUN
cana-2205	113	25	of	of	ADP
cana-2205	113	26	the	the	DET
cana-2205	113	27	video	video	NOUN
cana-2205	113	28	data	datum	NOUN
cana-2205	113	29	and	and	CCONJ
cana-2205	113	30	task	task	NOUN
cana-2205	113	31	at	at	ADP
cana-2205	113	32	hand	hand	NOUN
cana-2205	113	33	as	as	SCONJ
cana-2205	113	34	shown	show	VERB
cana-2205	113	35	in	in	ADP
cana-2205	113	36	figure	figure	NOUN
cana-2205	113	37	5	5	NUM
cana-2205	113	38	.	.	NOUN
cana-2205	113	39	5	5	NUM
cana-2205	113	40	.	.	X
cana-2205	113	41	conclusion	conclusion	NOUN
cana-2205	113	42	in	in	ADP
cana-2205	113	43	summary	summary	NOUN
cana-2205	113	44	,	,	PUNCT
cana-2205	113	45	3d	3d	PROPN
cana-2205	113	46	convolutional	convolutional	ADJ
cana-2205	113	47	neural	neural	ADJ
cana-2205	113	48	networks	network	NOUN
cana-2205	113	49	(	(	PUNCT
cana-2205	113	50	3d	3d	NOUN
cana-2205	113	51	-	-	PUNCT
cana-2205	113	52	cnns	cnn	NOUN
cana-2205	113	53	)	)	PUNCT
cana-2205	113	54	have	have	AUX
cana-2205	113	55	become	become	VERB
cana-2205	113	56	highly	highly	ADV
cana-2205	113	57	effective	effective	ADJ
cana-2205	113	58	tools	tool	NOUN
cana-2205	113	59	for	for	ADP
cana-2205	113	60	video	video	NOUN
cana-2205	113	61	recognition	recognition	NOUN
cana-2205	113	62	applications	application	NOUN
cana-2205	113	63	due	due	ADP
cana-2205	113	64	to	to	ADP
cana-2205	113	65	their	their	PRON
cana-2205	113	66	special	special	ADJ
cana-2205	113	67	capacity	capacity	NOUN
cana-2205	113	68	to	to	PART
cana-2205	113	69	extract	extract	VERB
cana-2205	113	70	both	both	DET
cana-2205	113	71	temporal	temporal	ADJ
cana-2205	113	72	and	and	CCONJ
cana-2205	113	73	spatial	spatial	ADJ
cana-2205	113	74	characteristics	characteristic	NOUN
cana-2205	113	75	directly	directly	ADV
cana-2205	113	76	from	from	ADP
cana-2205	113	77	video	video	NOUN
cana-2205	113	78	input	input	NOUN
cana-2205	113	79	.	.	PUNCT
cana-2205	114	1	3d	3d	NUM
cana-2205	114	2	-	-	PUNCT
cana-2205	114	3	cnns	cnn	NOUN
cana-2205	114	4	are	be	AUX
cana-2205	114	5	superior	superior	ADJ
cana-2205	114	6	to	to	ADP
cana-2205	114	7	regular	regular	ADJ
cana-2205	114	8	cnns	cnn	NOUN
cana-2205	114	9	at	at	ADP
cana-2205	114	10	comprehending	comprehending	ADJ
cana-2205	114	11	motion	motion	NOUN
cana-2205	114	12	and	and	CCONJ
cana-2205	114	13	dynamic	dynamic	ADJ
cana-2205	114	14	patterns	pattern	NOUN
cana-2205	114	15	in	in	ADP
cana-2205	114	16	videos	video	NOUN
cana-2205	114	17	because	because	SCONJ
cana-2205	114	18	they	they	PRON
cana-2205	114	19	extend	extend	VERB
cana-2205	114	20	cnns	cnn	NOUN
cana-2205	114	21	to	to	PART
cana-2205	114	22	include	include	VERB
cana-2205	114	23	the	the	DET
cana-2205	114	24	temporal	temporal	ADJ
cana-2205	114	25	dimension	dimension	NOUN
cana-2205	114	26	.	.	PUNCT
cana-2205	115	1	they	they	PRON
cana-2205	115	2	are	be	AUX
cana-2205	115	3	especially	especially	ADV
cana-2205	115	4	well	well	ADV
cana-2205	115	5	-	-	PUNCT
cana-2205	115	6	suited	suit	VERB
cana-2205	115	7	for	for	ADP
cana-2205	115	8	jobs	job	NOUN
cana-2205	115	9	like	like	ADP
cana-2205	115	10	action	action	NOUN
cana-2205	115	11	recognition	recognition	NOUN
cana-2205	115	12	,	,	PUNCT
cana-2205	115	13	gesture	gesture	NOUN
cana-2205	115	14	recognition	recognition	NOUN
cana-2205	115	15	,	,	PUNCT
cana-2205	115	16	and	and	CCONJ
cana-2205	115	17	activity	activity	NOUN
cana-2205	115	18	detection	detection	NOUN
cana-2205	115	19	in	in	ADP
cana-2205	115	20	videos	video	NOUN
cana-2205	115	21	because	because	SCONJ
cana-2205	115	22	of	of	ADP
cana-2205	115	23	these	these	DET
cana-2205	115	24	capabilities	capability	NOUN
cana-2205	115	25	.	.	PUNCT
cana-2205	116	1	3d	3d	NUM
cana-2205	116	2	-	-	PUNCT
cana-2205	116	3	cnns	cnn	NOUN
cana-2205	116	4	have	have	AUX
cana-2205	116	5	proven	prove	VERB
cana-2205	116	6	to	to	PART
cana-2205	116	7	perform	perform	VERB
cana-2205	116	8	very	very	ADV
cana-2205	116	9	well	well	ADV
cana-2205	116	10	in	in	ADP
cana-2205	116	11	a	a	DET
cana-2205	116	12	variety	variety	NOUN
cana-2205	116	13	of	of	ADP
cana-2205	116	14	fields	field	NOUN
cana-2205	116	15	,	,	PUNCT
cana-2205	116	16	including	include	VERB
cana-2205	116	17	as	as	ADP
cana-2205	116	18	autonomous	autonomous	ADJ
cana-2205	116	19	vehicles	vehicle	NOUN
cana-2205	116	20	,	,	PUNCT
cana-2205	116	21	healthcare	healthcare	PROPN
cana-2205	116	22	,	,	PUNCT
cana-2205	116	23	entertainment	entertainment	NOUN
cana-2205	116	24	,	,	PUNCT
cana-2205	116	25	and	and	CCONJ
cana-2205	116	26	surveillance	surveillance	NOUN
cana-2205	116	27	,	,	PUNCT
cana-2205	116	28	by	by	ADP
cana-2205	116	29	utilizing	utilize	VERB
cana-2205	116	30	deep	deep	ADJ
cana-2205	116	31	learning	learning	NOUN
cana-2205	116	32	techniques	technique	NOUN
cana-2205	116	33	.	.	PUNCT
cana-2205	117	1	there	there	PRON
cana-2205	117	2	are	be	VERB
cana-2205	117	3	still	still	ADV
cana-2205	117	4	issues	issue	NOUN
cana-2205	117	5	,	,	PUNCT
cana-2205	117	6	though	though	ADV
cana-2205	117	7	,	,	PUNCT
cana-2205	117	8	like	like	ADP
cana-2205	117	9	dataset	dataset	NOUN
cana-2205	117	10	size	size	NOUN
cana-2205	117	11	,	,	PUNCT
cana-2205	117	12	domain	domain	NOUN
cana-2205	117	13	-	-	PUNCT
cana-2205	117	14	specific	specific	ADJ
cana-2205	117	15	variances	variance	NOUN
cana-2205	117	16	,	,	PUNCT
cana-2205	117	17	and	and	CCONJ
cana-2205	117	18	computational	computational	ADJ
cana-2205	117	19	complexity	complexity	NOUN
cana-2205	117	20	.	.	PUNCT
cana-2205	118	1	to	to	PART
cana-2205	118	2	further	far	ADV
cana-2205	118	3	develop	develop	VERB
cana-2205	118	4	the	the	DET
cana-2205	118	5	capabilities	capability	NOUN
cana-2205	118	6	of	of	ADP
cana-2205	118	7	3d	3d	NOUN
cana-2205	118	8	-	-	PUNCT
cana-2205	118	9	cnns	cnns	NOUN
cana-2205	118	10	for	for	ADP
cana-2205	118	11	video	video	NOUN
cana-2205	118	12	,	,	PUNCT
cana-2205	118	13	future	future	ADJ
cana-2205	118	14	research	research	NOUN
cana-2205	118	15	topics	topic	NOUN
cana-2205	118	16	might	might	AUX
cana-2205	118	17	concentrate	concentrate	VERB
cana-2205	118	18	on	on	ADP
cana-2205	118	19	optimizing	optimize	VERB
cana-2205	118	20	architectures	architecture	NOUN
cana-2205	118	21	,	,	PUNCT
cana-2205	118	22	increasing	increase	VERB
cana-2205	118	23	efficiency	efficiency	NOUN
cana-2205	118	24	,	,	PUNCT
cana-2205	118	25	and	and	CCONJ
cana-2205	118	26	improving	improve	VERB
cana-2205	118	27	interpretability	interpretability	NOUN
cana-2205	118	28	.	.	PUNCT
cana-2205	119	1	references	reference	NOUN
cana-2205	119	2	[	[	X
cana-2205	119	3	1	1	NUM
cana-2205	119	4	]	]	X
cana-2205	119	5	kopuklu	kopuklu	PROPN
cana-2205	119	6	,	,	PUNCT
cana-2205	119	7	okan	okan	PROPN
cana-2205	119	8	,	,	PUNCT
cana-2205	119	9	neslihan	neslihan	PROPN
cana-2205	119	10	kose	kose	PROPN
cana-2205	119	11	,	,	PUNCT
cana-2205	119	12	ahmet	ahmet	NOUN
cana-2205	119	13	gunduz	gunduz	PROPN
cana-2205	119	14	,	,	PUNCT
cana-2205	119	15	and	and	CCONJ
cana-2205	119	16	gerhard	gerhard	PROPN
cana-2205	119	17	rigoll	rigoll	NOUN
cana-2205	119	18	.	.	PUNCT
cana-2205	120	1	"	"	PUNCT
cana-2205	120	2	resource	resource	VERB
cana-2205	120	3	efficient	efficient	ADJ
cana-2205	120	4	3d	3d	NUM
cana-2205	120	5	convolutional	convolutional	ADJ
cana-2205	120	6	neural	neural	ADJ
cana-2205	120	7	networks	network	NOUN
cana-2205	120	8	.	.	PUNCT
cana-2205	120	9	"	"	PUNCT
cana-2205	121	1	in	in	ADP
cana-2205	121	2	proceedings	proceeding	NOUN
cana-2205	121	3	of	of	ADP
cana-2205	121	4	the	the	DET
cana-2205	121	5	ieee	ieee	NOUN
cana-2205	121	6	/	/	SYM
cana-2205	121	7	cvf	cvf	NOUN
cana-2205	121	8	international	international	ADJ
cana-2205	121	9	conference	conference	NOUN
cana-2205	121	10	on	on	ADP
cana-2205	121	11	computer	computer	NOUN
cana-2205	121	12	vision	vision	NOUN
cana-2205	121	13	workshops	workshop	NOUN
cana-2205	121	14	,	,	PUNCT
cana-2205	121	15	pp	pp	ADJ
cana-2205	121	16	.	.	PUNCT
cana-2205	121	17	0	0	NUM
cana-2205	121	18	-	-	SYM
cana-2205	121	19	0	0	NUM
cana-2205	121	20	.	.	NOUN
cana-2205	121	21	2019	2019	NUM
cana-2205	121	22	.	.	PUNCT
cana-2205	122	1	[	[	X
cana-2205	122	2	2	2	NUM
cana-2205	122	3	]	]	X
cana-2205	122	4	pokkuluri	pokkuluri	NOUN
cana-2205	122	5	,	,	PUNCT
cana-2205	122	6	kiran	kiran	PROPN
cana-2205	122	7	sree	sree	PROPN
cana-2205	122	8	,	,	PUNCT
cana-2205	122	9	and	and	CCONJ
cana-2205	122	10	sssn	sssn	PROPN
cana-2205	122	11	usha	usha	PROPN
cana-2205	122	12	devi	devi	PROPN
cana-2205	122	13	nedunuri	nedunuri	PROPN
cana-2205	122	14	.	.	PUNCT
cana-2205	123	1	"	"	PUNCT
cana-2205	123	2	a	a	DET
cana-2205	123	3	novel	novel	ADJ
cana-2205	123	4	cellular	cellular	ADJ
cana-2205	123	5	automata	automata	NOUN
cana-2205	123	6	classifier	classifier	NOUN
cana-2205	123	7	for	for	ADP
cana-2205	123	8	covid-19	covid-19	PROPN
cana-2205	123	9	prediction	prediction	NOUN
cana-2205	123	10	.	.	PUNCT
cana-2205	123	11	"	"	PUNCT
cana-2205	124	1	journal	journal	PROPN
cana-2205	124	2	of	of	ADP
cana-2205	124	3	health	health	PROPN
cana-2205	124	4	sciences	sciences	PROPN
cana-2205	124	5	10	10	NUM
cana-2205	124	6	,	,	PUNCT
cana-2205	124	7	no	no	INTJ
cana-2205	124	8	.	.	NOUN
cana-2205	124	9	1	1	NUM
cana-2205	124	10	(	(	PUNCT
cana-2205	124	11	2020	2020	NUM
cana-2205	124	12	):	):	PUNCT
cana-2205	124	13	34	34	NUM
cana-2205	124	14	-	-	SYM
cana-2205	124	15	38	38	NUM
cana-2205	124	16	.	.	PUNCT
cana-2205	125	1	[	[	X
cana-2205	125	2	3	3	NUM
cana-2205	125	3	]	]	SYM
cana-2205	125	4	yang	yang	PROPN
cana-2205	125	5	,	,	PUNCT
cana-2205	125	6	hao	hao	PROPN
cana-2205	125	7	,	,	PUNCT
cana-2205	125	8	chunfeng	chunfeng	PROPN
cana-2205	125	9	yuan	yuan	PROPN
cana-2205	125	10	,	,	PUNCT
cana-2205	125	11	bing	bing	VERB
cana-2205	125	12	li	li	PROPN
cana-2205	125	13	,	,	PUNCT
cana-2205	125	14	yang	yang	PROPN
cana-2205	125	15	du	du	PROPN
cana-2205	125	16	,	,	PUNCT
cana-2205	125	17	junliang	junliang	PROPN
cana-2205	125	18	xing	xing	PROPN
cana-2205	125	19	,	,	PUNCT
cana-2205	125	20	weiming	weime	VERB
cana-2205	125	21	hu	hu	PROPN
cana-2205	125	22	,	,	PUNCT
cana-2205	125	23	and	and	CCONJ
cana-2205	125	24	stephen	stephen	PROPN
cana-2205	125	25	j.	j.	PROPN
cana-2205	125	26	maybank	maybank	PROPN
cana-2205	125	27	.	.	PUNCT
cana-2205	126	1	"	"	PUNCT
cana-2205	126	2	asymmetric	asymmetric	ADJ
cana-2205	126	3	3d	3d	ADJ
cana-2205	126	4	convolutional	convolutional	ADJ
cana-2205	126	5	neural	neural	ADJ
cana-2205	126	6	networks	network	NOUN
cana-2205	126	7	for	for	ADP
cana-2205	126	8	action	action	NOUN
cana-2205	126	9	recognition	recognition	NOUN
cana-2205	126	10	.	.	PUNCT
cana-2205	126	11	"	"	PUNCT
cana-2205	126	12	pattern	pattern	NOUN
cana-2205	126	13	recognition	recognition	NOUN
cana-2205	126	14	85	85	NUM
cana-2205	126	15	(	(	PUNCT
cana-2205	126	16	2019	2019	NUM
cana-2205	126	17	):	):	PUNCT
cana-2205	126	18	1	1	NUM
cana-2205	126	19	-	-	SYM
cana-2205	126	20	12	12	NUM
cana-2205	126	21	.	.	PUNCT
cana-2205	127	1	[	[	X
cana-2205	127	2	4	4	NUM
cana-2205	127	3	]	]	X
cana-2205	127	4	pokkuluri	pokkuluri	NOUN
cana-2205	127	5	,	,	PUNCT
cana-2205	127	6	kiran	kiran	PROPN
cana-2205	127	7	sree	sree	PROPN
cana-2205	127	8	,	,	PUNCT
cana-2205	127	9	sssn	sssn	PROPN
cana-2205	127	10	usha	usha	PROPN
cana-2205	127	11	devi	devi	PROPN
cana-2205	127	12	nedunuri	nedunuri	PROPN
cana-2205	127	13	,	,	PUNCT
cana-2205	127	14	and	and	CCONJ
cana-2205	127	15	usha	usha	PROPN
cana-2205	127	16	devi	devi	PROPN
cana-2205	127	17	.	.	PUNCT
cana-2205	128	1	"	"	PUNCT
cana-2205	128	2	crop	crop	NOUN
cana-2205	128	3	disease	disease	NOUN
cana-2205	128	4	prediction	prediction	NOUN
cana-2205	128	5	with	with	ADP
cana-2205	128	6	convolution	convolution	NOUN
cana-2205	128	7	neural	neural	ADJ
cana-2205	128	8	network	network	NOUN
cana-2205	128	9	(	(	PUNCT
cana-2205	128	10	cnn	cnn	PROPN
cana-2205	128	11	)	)	PUNCT
cana-2205	128	12	augmented	augment	VERB
cana-2205	128	13	with	with	ADP
cana-2205	128	14	cellular	cellular	ADJ
cana-2205	128	15	automata	automata	NOUN
cana-2205	128	16	.	.	PUNCT
cana-2205	128	17	"	"	PUNCT
cana-2205	129	1	int	int	NOUN
cana-2205	129	2	.	.	PUNCT
cana-2205	130	1	arab	arab	PROPN
cana-2205	130	2	j.	j.	PROPN
cana-2205	130	3	inf	inf	PROPN
cana-2205	130	4	.	.	PUNCT
cana-2205	130	5	technol	technol	PROPN
cana-2205	130	6	.	.	PROPN
cana-2205	131	1	19	19	NUM
cana-2205	131	2	,	,	PUNCT
cana-2205	131	3	no	no	INTJ
cana-2205	131	4	.	.	NOUN
cana-2205	131	5	5	5	NUM
cana-2205	131	6	(	(	PUNCT
cana-2205	131	7	2022	2022	NUM
cana-2205	131	8	):	):	PUNCT
cana-2205	131	9	765	765	NUM
cana-2205	131	10	-	-	SYM
cana-2205	131	11	773	773	NUM
cana-2205	131	12	.	.	PUNCT
cana-2205	132	1	[	[	X
cana-2205	132	2	5	5	NUM
cana-2205	132	3	]	]	X
cana-2205	132	4	maqsood	maqsood	PROPN
cana-2205	132	5	,	,	PUNCT
cana-2205	132	6	ramna	ramna	PROPN
cana-2205	132	7	,	,	PUNCT
cana-2205	132	8	usama	usama	PROPN
cana-2205	132	9	ijaz	ijaz	PROPN
cana-2205	132	10	bajwa	bajwa	PROPN
cana-2205	132	11	,	,	PUNCT
cana-2205	132	12	gulshan	gulshan	PROPN
cana-2205	132	13	saleem	saleem	PROPN
cana-2205	132	14	,	,	PUNCT
cana-2205	132	15	rana	rana	PROPN
cana-2205	132	16	hammad	hammad	PROPN
cana-2205	132	17	raza	raza	PROPN
cana-2205	132	18	,	,	PUNCT
cana-2205	132	19	and	and	CCONJ
cana-2205	132	20	muhammad	muhammad	PROPN
cana-2205	132	21	waqas	waqas	PROPN
cana-2205	132	22	anwar	anwar	PROPN
cana-2205	132	23	.	.	PUNCT
cana-2205	133	1	"	"	PUNCT
cana-2205	133	2	anomaly	anomaly	NOUN
cana-2205	133	3	recognition	recognition	NOUN
cana-2205	133	4	from	from	ADP
cana-2205	133	5	surveillance	surveillance	NOUN
cana-2205	133	6	videos	video	NOUN
cana-2205	133	7	using	use	VERB
cana-2205	133	8	3d	3d	NUM
cana-2205	133	9	convolution	convolution	NOUN
cana-2205	133	10	neural	neural	ADJ
cana-2205	133	11	network	network	NOUN
cana-2205	133	12	.	.	PUNCT
cana-2205	133	13	"	"	PUNCT
cana-2205	133	14	multimedia	multimedia	NOUN
cana-2205	133	15	tools	tool	NOUN
cana-2205	133	16	and	and	CCONJ
cana-2205	133	17	applications	application	NOUN
cana-2205	133	18	80	80	NUM
cana-2205	133	19	,	,	PUNCT
cana-2205	133	20	no	no	INTJ
cana-2205	133	21	.	.	PROPN
cana-2205	133	22	12	12	NUM
cana-2205	133	23	(	(	PUNCT
cana-2205	133	24	2021	2021	NUM
cana-2205	133	25	):	):	PUNCT
cana-2205	133	26	18693	18693	NUM
cana-2205	133	27	-	-	SYM
cana-2205	133	28	18716	18716	NUM
cana-2205	133	29	.	.	PUNCT
cana-2205	134	1	[	[	X
cana-2205	134	2	6	6	NUM
cana-2205	134	3	]	]	X
cana-2205	134	4	pokkuluri	pokkuluri	NOUN
cana-2205	134	5	,	,	PUNCT
cana-2205	134	6	kiran	kiran	PROPN
cana-2205	134	7	sree	sree	PROPN
cana-2205	134	8	,	,	PUNCT
cana-2205	134	9	and	and	CCONJ
cana-2205	134	10	devi	devi	PROPN
cana-2205	134	11	nedunuri	nedunuri	PROPN
cana-2205	134	12	usha	usha	PROPN
cana-2205	134	13	.	.	PUNCT
cana-2205	135	1	"	"	PUNCT
cana-2205	135	2	a	a	DET
cana-2205	135	3	secure	secure	ADJ
cana-2205	135	4	cellular	cellular	ADJ
cana-2205	135	5	automata	automata	NOUN
cana-2205	135	6	integrated	integrate	VERB
cana-2205	135	7	deep	deep	ADJ
cana-2205	135	8	learning	learning	NOUN
cana-2205	135	9	mechanism	mechanism	NOUN
cana-2205	135	10	for	for	ADP
cana-2205	135	11	health	health	NOUN
cana-2205	135	12	informatics	informatic	NOUN
cana-2205	135	13	.	.	PUNCT
cana-2205	135	14	"	"	PUNCT
cana-2205	136	1	int	int	NOUN
cana-2205	136	2	.	.	PUNCT
cana-2205	137	1	arab	arab	PROPN
cana-2205	137	2	j.	j.	PROPN
cana-2205	137	3	inf	inf	PROPN
cana-2205	137	4	.	.	PUNCT
cana-2205	137	5	technol	technol	PROPN
cana-2205	137	6	.	.	PROPN
cana-2205	137	7	18	18	NUM
cana-2205	137	8	,	,	PUNCT
cana-2205	137	9	no	no	INTJ
cana-2205	137	10	.	.	NOUN
cana-2205	137	11	6	6	NUM
cana-2205	137	12	(	(	PUNCT
cana-2205	137	13	2021	2021	NUM
cana-2205	137	14	):	):	PUNCT
cana-2205	137	15	782	782	NUM
cana-2205	137	16	-	-	SYM
cana-2205	137	17	788	788	NUM
cana-2205	137	18	.	.	PUNCT
cana-2205	138	1	[	[	X
cana-2205	138	2	7	7	NUM
cana-2205	138	3	]	]	X
cana-2205	138	4	sree	sree	PROPN
cana-2205	138	5	,	,	PUNCT
cana-2205	138	6	pokkuluri	pokkuluri	NOUN
cana-2205	138	7	kiran	kiran	PROPN
cana-2205	138	8	,	,	PUNCT
cana-2205	138	9	phaneendra	phaneendra	PROPN
cana-2205	138	10	varma	varma	PROPN
cana-2205	138	11	chintalapati	chintalapati	PROPN
cana-2205	138	12	,	,	PUNCT
cana-2205	138	13	m.	m.	NOUN
cana-2205	138	14	prasad	prasad	PROPN
cana-2205	138	15	,	,	PUNCT
cana-2205	138	16	gurujukota	gurujukota	PROPN
cana-2205	138	17	ramesh	ramesh	PROPN
cana-2205	138	18	babu	babu	PROPN
cana-2205	138	19	,	,	PUNCT
cana-2205	138	20	and	and	CCONJ
cana-2205	138	21	pbv	pbv	VERB
cana-2205	138	22	raja	raja	PROPN
cana-2205	138	23	rao	rao	PROPN
cana-2205	138	24	.	.	PUNCT
cana-2205	139	1	"	"	PUNCT
cana-2205	139	2	waste	waste	NOUN
cana-2205	139	3	management	management	NOUN
cana-2205	139	4	detection	detection	NOUN
cana-2205	139	5	using	use	VERB
cana-2205	139	6	deep	deep	ADJ
cana-2205	139	7	learning	learning	NOUN
cana-2205	139	8	.	.	PUNCT
cana-2205	139	9	"	"	PUNCT
cana-2205	140	1	in	in	ADP
cana-2205	140	2	2023	2023	NUM
cana-2205	140	3	3rd	3rd	ADJ
cana-2205	140	4	international	international	ADJ
cana-2205	140	5	conference	conference	NOUN
cana-2205	140	6	on	on	ADP
cana-2205	140	7	computing	computing	NOUN
cana-2205	140	8	and	and	CCONJ
cana-2205	140	9	information	information	NOUN
cana-2205	140	10	technology	technology	NOUN
cana-2205	140	11	(	(	PUNCT
cana-2205	140	12	iccit	iccit	NOUN
cana-2205	140	13	)	)	PUNCT
cana-2205	140	14	,	,	PUNCT
cana-2205	140	15	pp	pp	ADP
cana-2205	140	16	.	.	PUNCT
cana-2205	141	1	50	50	NUM
cana-2205	141	2	-	-	SYM
cana-2205	141	3	54	54	NUM
cana-2205	141	4	.	.	PUNCT
cana-2205	141	5	ieee	ieee	NOUN
cana-2205	141	6	,	,	PUNCT
cana-2205	141	7	2023	2023	NUM
cana-2205	141	8	.	.	PUNCT
cana-2205	142	1	[	[	X
cana-2205	142	2	8	8	NUM
cana-2205	142	3	]	]	X
cana-2205	142	4	liu	liu	PROPN
cana-2205	142	5	,	,	PUNCT
cana-2205	142	6	jiaqi	jiaqi	PROPN
cana-2205	142	7	,	,	PUNCT
cana-2205	142	8	zhenghao	zhenghao	PROPN
cana-2205	142	9	li	li	PROPN
cana-2205	142	10	,	,	PUNCT
cana-2205	142	11	yongliang	yongliang	PROPN
cana-2205	142	12	tang	tang	PROPN
cana-2205	142	13	,	,	PUNCT
cana-2205	142	14	wei	wei	PROPN
cana-2205	142	15	hu	hu	PROPN
cana-2205	142	16	,	,	PUNCT
cana-2205	142	17	and	and	CCONJ
cana-2205	142	18	jun	jun	PROPN
cana-2205	142	19	wu	wu	PROPN
cana-2205	142	20	.	.	PUNCT
cana-2205	143	1	"	"	PUNCT
cana-2205	143	2	3d	3d	NUM
cana-2205	143	3	convolutional	convolutional	ADJ
cana-2205	143	4	neural	neural	ADJ
cana-2205	143	5	network	network	NOUN
cana-2205	143	6	based	base	VERB
cana-2205	143	7	on	on	ADP
cana-2205	143	8	memristor	memristor	NOUN
cana-2205	143	9	for	for	ADP
cana-2205	143	10	video	video	NOUN
cana-2205	143	11	recognition	recognition	NOUN
cana-2205	143	12	.	.	PUNCT
cana-2205	143	13	"	"	PUNCT
cana-2205	144	1	pattern	pattern	NOUN
cana-2205	144	2	recognition	recognition	NOUN
cana-2205	144	3	letters	letter	NOUN
cana-2205	144	4	130	130	NUM
cana-2205	144	5	(	(	PUNCT
cana-2205	144	6	2020	2020	NUM
cana-2205	144	7	):	):	PUNCT
cana-2205	144	8	116	116	NUM
cana-2205	144	9	-	-	SYM
cana-2205	144	10	124	124	NUM
cana-2205	144	11	.	.	PUNCT
cana-2205	145	1	[	[	X
cana-2205	145	2	9	9	NUM
cana-2205	145	3	]	]	SYM
cana-2205	145	4	rao	rao	NOUN
cana-2205	145	5	,	,	PUNCT
cana-2205	145	6	n.	n.	PROPN
cana-2205	145	7	raghava	raghava	PROPN
cana-2205	145	8	,	,	PUNCT
cana-2205	145	9	sree	sree	PROPN
cana-2205	145	10	pokkuluri	pokkuluri	PROPN
cana-2205	145	11	kiran	kiran	PROPN
cana-2205	145	12	,	,	PUNCT
cana-2205	145	13	tamboli	tamboli	PROPN
cana-2205	145	14	amena	amena	PROPN
cana-2205	145	15	,	,	PUNCT
cana-2205	145	16	a.	a.	PROPN
cana-2205	145	17	senthilkumar	senthilkumar	PROPN
cana-2205	145	18	,	,	PUNCT
cana-2205	145	19	r.	r.	PROPN
cana-2205	145	20	sivakumar	sivakumar	PROPN
cana-2205	145	21	,	,	PUNCT
cana-2205	145	22	m.	m.	NOUN
cana-2205	145	23	ashok	ashok	PROPN
cana-2205	145	24	kumar	kumar	PROPN
cana-2205	145	25	,	,	PUNCT
cana-2205	145	26	and	and	CCONJ
cana-2205	145	27	sampathkumar	sampathkumar	PROPN
cana-2205	145	28	velusamy	velusamy	NOUN
cana-2205	145	29	.	.	PUNCT
cana-2205	146	1	"	"	PUNCT
cana-2205	146	2	enhancing	enhance	VERB
cana-2205	146	3	rainwater	rainwater	NOUN
cana-2205	146	4	harvesting	harvesting	NOUN
cana-2205	146	5	and	and	CCONJ
cana-2205	146	6	groundwater	groundwater	NOUN
cana-2205	146	7	recharge	recharge	VERB
cana-2205	146	8	efficiency	efficiency	NOUN
cana-2205	146	9	with	with	ADP
cana-2205	146	10	multidimensional	multidimensional	ADJ
cana-2205	146	11	lstm	lstm	NOUN
cana-2205	146	12	and	and	CCONJ
cana-2205	146	13	clonal	clonal	ADJ
cana-2205	146	14	selection	selection	NOUN
cana-2205	146	15	algorithm	algorithm	NOUN
cana-2205	146	16	.	.	PUNCT
cana-2205	146	17	"	"	PUNCT
cana-2205	147	1	groundwater	groundwater	NOUN
cana-2205	147	2	for	for	ADP
cana-2205	147	3	sustainable	sustainable	ADJ
cana-2205	147	4	development	development	NOUN
cana-2205	147	5	(	(	PUNCT
cana-2205	147	6	2024	2024	NUM
cana-2205	147	7	):	):	PUNCT
cana-2205	147	8	101167	101167	NUM
cana-2205	147	9	.	.	PUNCT
cana-2205	148	1	[	[	X
cana-2205	148	2	10	10	NUM
cana-2205	148	3	]	]	X
cana-2205	148	4	funke	funke	PROPN
cana-2205	148	5	,	,	PUNCT
cana-2205	148	6	isabel	isabel	PROPN
cana-2205	148	7	,	,	PUNCT
cana-2205	148	8	sebastian	sebastian	PROPN
cana-2205	148	9	bodenstedt	bodenstedt	PROPN
cana-2205	148	10	,	,	PUNCT
cana-2205	148	11	florian	florian	ADJ
cana-2205	148	12	oehme	oehme	NOUN
cana-2205	148	13	,	,	PUNCT
cana-2205	148	14	felix	felix	PROPN
cana-2205	148	15	von	von	PROPN
cana-2205	148	16	bechtolsheim	bechtolsheim	PROPN
cana-2205	148	17	,	,	PUNCT
cana-2205	148	18	jürgen	jürgen	PROPN
cana-2205	148	19	weitz	weitz	PROPN
cana-2205	148	20	,	,	PUNCT
cana-2205	148	21	and	and	CCONJ
cana-2205	148	22	stefanie	stefanie	PROPN
cana-2205	148	23	speidel	speidel	PROPN
cana-2205	148	24	.	.	PUNCT
cana-2205	149	1	"	"	PUNCT
cana-2205	149	2	using	use	VERB
cana-2205	149	3	3d	3d	NUM
cana-2205	149	4	convolutional	convolutional	ADJ
cana-2205	149	5	neural	neural	ADJ
cana-2205	149	6	networks	network	NOUN
cana-2205	149	7	to	to	PART
cana-2205	149	8	learn	learn	VERB
cana-2205	149	9	spatiotemporal	spatiotemporal	ADJ
cana-2205	149	10	features	feature	NOUN
cana-2205	149	11	for	for	ADP
cana-2205	149	12	automatic	automatic	ADJ
cana-2205	149	13	surgical	surgical	ADJ
cana-2205	149	14	gesture	gesture	NOUN
cana-2205	149	15	recognition	recognition	NOUN
cana-2205	149	16	communications	communication	NOUN
cana-2205	149	17	on	on	ADP
cana-2205	149	18	applied	apply	VERB
cana-2205	149	19	nonlinear	nonlinear	ADJ
cana-2205	149	20	analysis	analysis	NOUN
cana-2205	149	21	issn	issn	NOUN
cana-2205	149	22	:	:	PUNCT
cana-2205	149	23	1074	1074	NUM
cana-2205	149	24	-	-	PUNCT
cana-2205	149	25	133x	133x	NUM
cana-2205	149	26	vol	vol	NOUN
cana-2205	149	27	32	32	NUM
cana-2205	149	28	no	no	NOUN
cana-2205	149	29	.	.	PUNCT
cana-2205	150	1	1s	1s	NUM
cana-2205	150	2	(	(	PUNCT
cana-2205	150	3	2025	2025	NUM
cana-2205	150	4	)	)	PUNCT
cana-2205	150	5	418	418	NUM
cana-2205	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2205	150	7	in	in	ADP
cana-2205	150	8	video	video	NOUN
cana-2205	150	9	.	.	PUNCT
cana-2205	150	10	"	"	PUNCT
cana-2205	151	1	in	in	ADP
cana-2205	151	2	international	international	ADJ
cana-2205	151	3	conference	conference	NOUN
cana-2205	151	4	on	on	ADP
cana-2205	151	5	medical	medical	ADJ
cana-2205	151	6	image	image	NOUN
cana-2205	151	7	computing	computing	NOUN
cana-2205	151	8	and	and	CCONJ
cana-2205	151	9	computer	computer	NOUN
cana-2205	151	10	-	-	PUNCT
cana-2205	151	11	assisted	assist	VERB
cana-2205	151	12	intervention	intervention	NOUN
cana-2205	151	13	,	,	PUNCT
cana-2205	151	14	pp	pp	PROPN
cana-2205	151	15	.	.	PUNCT
cana-2205	152	1	467	467	NUM
cana-2205	152	2	-	-	SYM
cana-2205	152	3	475	475	NUM
cana-2205	152	4	.	.	PUNCT
cana-2205	153	1	cham	cham	PROPN
cana-2205	153	2	:	:	PUNCT
cana-2205	153	3	springer	springer	NOUN
cana-2205	153	4	international	international	ADJ
cana-2205	153	5	publishing	publishing	NOUN
cana-2205	153	6	,	,	PUNCT
cana-2205	153	7	2019	2019	NUM
cana-2205	153	8	.	.	PUNCT
cana-2205	154	1	[	[	X
cana-2205	154	2	11	11	NUM
cana-2205	154	3	]	]	X
cana-2205	154	4	lin	lin	PROPN
cana-2205	154	5	,	,	PUNCT
cana-2205	154	6	beibei	beibei	PROPN
cana-2205	154	7	,	,	PUNCT
cana-2205	154	8	shunli	shunli	PROPN
cana-2205	154	9	zhang	zhang	PROPN
cana-2205	154	10	,	,	PUNCT
cana-2205	154	11	and	and	CCONJ
cana-2205	154	12	feng	feng	PROPN
cana-2205	154	13	bao	bao	PROPN
cana-2205	154	14	.	.	PUNCT
cana-2205	155	1	"	"	PUNCT
cana-2205	155	2	gait	gait	ADJ
cana-2205	155	3	recognition	recognition	NOUN
cana-2205	155	4	with	with	ADP
cana-2205	155	5	multiple	multiple	ADJ
cana-2205	155	6	-	-	PUNCT
cana-2205	155	7	temporal	temporal	ADJ
cana-2205	155	8	-	-	PUNCT
cana-2205	155	9	scale	scale	NOUN
cana-2205	155	10	3d	3d	NOUN
cana-2205	155	11	convolutional	convolutional	ADJ
cana-2205	155	12	neural	neural	ADJ
cana-2205	155	13	network	network	NOUN
cana-2205	155	14	.	.	PUNCT
cana-2205	155	15	"	"	PUNCT
cana-2205	156	1	in	in	ADP
cana-2205	156	2	proceedings	proceeding	NOUN
cana-2205	156	3	of	of	ADP
cana-2205	156	4	the	the	DET
cana-2205	156	5	28th	28th	ADJ
cana-2205	156	6	acm	acm	PROPN
cana-2205	156	7	international	international	ADJ
cana-2205	156	8	conference	conference	NOUN
cana-2205	156	9	on	on	ADP
cana-2205	156	10	multimedia	multimedia	NOUN
cana-2205	156	11	,	,	PUNCT
cana-2205	156	12	pp	pp	ADP
cana-2205	156	13	.	.	PUNCT
cana-2205	156	14	3054	3054	NUM
cana-2205	156	15	-	-	SYM
cana-2205	156	16	3062	3062	NUM
cana-2205	156	17	.	.	PUNCT
cana-2205	156	18	2020	2020	NUM
cana-2205	156	19	.	.	PUNCT
cana-2205	157	1	[	[	X
cana-2205	157	2	12	12	NUM
cana-2205	157	3	]	]	X
cana-2205	157	4	liu	liu	PROPN
cana-2205	157	5	,	,	PUNCT
cana-2205	157	6	jiawei	jiawei	PROPN
cana-2205	157	7	,	,	PUNCT
cana-2205	157	8	zheng	zheng	PROPN
cana-2205	157	9	-	-	PUNCT
cana-2205	157	10	jun	jun	PROPN
cana-2205	157	11	zha	zha	PROPN
cana-2205	157	12	,	,	PUNCT
cana-2205	157	13	xuejin	xuejin	PROPN
cana-2205	157	14	chen	chen	PROPN
cana-2205	157	15	,	,	PUNCT
cana-2205	157	16	zilei	zilei	PROPN
cana-2205	157	17	wang	wang	PROPN
cana-2205	157	18	,	,	PUNCT
cana-2205	157	19	and	and	CCONJ
cana-2205	157	20	yongdong	yongdong	PROPN
cana-2205	157	21	zhang	zhang	PROPN
cana-2205	157	22	.	.	PUNCT
cana-2205	158	1	"	"	PUNCT
cana-2205	158	2	dense	dense	ADJ
cana-2205	158	3	3d	3d	ADJ
cana-2205	158	4	-	-	PUNCT
cana-2205	158	5	convolutional	convolutional	ADJ
cana-2205	158	6	neural	neural	ADJ
cana-2205	158	7	network	network	NOUN
cana-2205	158	8	for	for	ADP
cana-2205	158	9	person	person	NOUN
cana-2205	158	10	re	re	NOUN
cana-2205	158	11	-	-	NOUN
cana-2205	158	12	identification	identification	NOUN
cana-2205	158	13	in	in	ADP
cana-2205	158	14	videos	video	NOUN
cana-2205	158	15	.	.	PUNCT
cana-2205	158	16	"	"	PUNCT
cana-2205	159	1	acm	acm	PROPN
cana-2205	159	2	transactions	transaction	NOUN
cana-2205	159	3	on	on	ADP
cana-2205	159	4	multimedia	multimedia	NOUN
cana-2205	159	5	computing	computing	NOUN
cana-2205	159	6	,	,	PUNCT
cana-2205	159	7	communications	communication	NOUN
cana-2205	159	8	,	,	PUNCT
cana-2205	159	9	and	and	CCONJ
cana-2205	159	10	applications	application	NOUN
cana-2205	159	11	(	(	PUNCT
cana-2205	159	12	tomm	tomm	NOUN
cana-2205	159	13	)	)	PUNCT
cana-2205	159	14	15	15	NUM
cana-2205	159	15	,	,	PUNCT
cana-2205	159	16	no	no	INTJ
cana-2205	159	17	.	.	PUNCT
cana-2205	160	1	1s	1s	NUM
cana-2205	160	2	(	(	PUNCT
cana-2205	160	3	2019	2019	NUM
cana-2205	160	4	):	):	PUNCT
cana-2205	160	5	1	1	NUM
cana-2205	160	6	-	-	SYM
cana-2205	160	7	19	19	NUM
cana-2205	160	8	.	.	PUNCT
cana-2205	161	1	[	[	X
cana-2205	161	2	13	13	NUM
cana-2205	161	3	]	]	SYM
cana-2205	161	4	chintalapati	chintalapati	NOUN
cana-2205	161	5	,	,	PUNCT
cana-2205	161	6	phaneendra	phaneendra	PROPN
cana-2205	161	7	varma	varma	PROPN
cana-2205	161	8	,	,	PUNCT
cana-2205	161	9	gurujukota	gurujukota	PROPN
cana-2205	161	10	ramesh	ramesh	PROPN
cana-2205	161	11	babu	babu	PROPN
cana-2205	161	12	,	,	PUNCT
cana-2205	161	13	pokkuluri	pokkuluri	PROPN
cana-2205	161	14	kiran	kiran	PROPN
cana-2205	161	15	sree	sree	PROPN
cana-2205	161	16	,	,	PUNCT
cana-2205	161	17	satish	satish	PROPN
cana-2205	161	18	kumar	kumar	PROPN
cana-2205	161	19	kode	kode	PROPN
cana-2205	161	20	,	,	PUNCT
cana-2205	161	21	and	and	CCONJ
cana-2205	161	22	gottala	gottala	PROPN
cana-2205	161	23	surendra	surendra	PROPN
cana-2205	161	24	kumar	kumar	PROPN
cana-2205	161	25	.	.	PUNCT
cana-2205	162	1	"	"	PUNCT
cana-2205	162	2	usage	usage	NOUN
cana-2205	162	3	of	of	ADP
cana-2205	162	4	ai	ai	ADJ
cana-2205	162	5	techniques	technique	NOUN
cana-2205	162	6	for	for	ADP
cana-2205	162	7	cyberthreat	cyberthreat	VERB
cana-2205	162	8	security	security	NOUN
cana-2205	162	9	system	system	NOUN
cana-2205	162	10	in	in	ADP
cana-2205	162	11	android	android	PROPN
cana-2205	162	12	mobile	mobile	ADJ
cana-2205	162	13	devices	device	NOUN
cana-2205	162	14	.	.	PUNCT
cana-2205	162	15	"	"	PUNCT
cana-2205	163	1	in	in	ADP
cana-2205	163	2	international	international	ADJ
cana-2205	163	3	conference	conference	NOUN
cana-2205	163	4	on	on	ADP
cana-2205	163	5	innovative	innovative	ADJ
cana-2205	163	6	computing	computing	NOUN
cana-2205	163	7	and	and	CCONJ
cana-2205	163	8	communication	communication	NOUN
cana-2205	163	9	,	,	PUNCT
cana-2205	163	10	pp	pp	ADJ
cana-2205	163	11	.	.	PUNCT
cana-2205	163	12	443	443	NUM
cana-2205	163	13	-	-	SYM
cana-2205	163	14	454	454	NUM
cana-2205	163	15	.	.	PUNCT
cana-2205	163	16	singapore	singapore	PROPN
cana-2205	163	17	:	:	PUNCT
cana-2205	163	18	springer	springer	NOUN
cana-2205	163	19	nature	nature	PROPN
cana-2205	163	20	singapore	singapore	PROPN
cana-2205	163	21	,	,	PUNCT
cana-2205	163	22	2023	2023	NUM
cana-2205	163	23	.	.	PUNCT
cana-2205	164	1	[	[	X
cana-2205	164	2	14	14	NUM
cana-2205	164	3	]	]	X
cana-2205	164	4	accattoli	accattoli	NOUN
cana-2205	164	5	,	,	PUNCT
cana-2205	164	6	simone	simone	PROPN
cana-2205	164	7	,	,	PUNCT
cana-2205	164	8	paolo	paolo	NOUN
cana-2205	164	9	sernani	sernani	PROPN
cana-2205	164	10	,	,	PUNCT
cana-2205	164	11	nicola	nicola	PROPN
cana-2205	164	12	falcionelli	falcionelli	PROPN
cana-2205	164	13	,	,	PUNCT
cana-2205	164	14	dagmawi	dagmawi	PROPN
cana-2205	164	15	neway	neway	PROPN
cana-2205	164	16	mekuria	mekuria	PROPN
cana-2205	164	17	,	,	PUNCT
cana-2205	164	18	and	and	CCONJ
cana-2205	164	19	aldo	aldo	PROPN
cana-2205	164	20	franco	franco	PROPN
cana-2205	164	21	dragoni	dragoni	PROPN
cana-2205	164	22	.	.	PUNCT
cana-2205	165	1	"	"	PUNCT
cana-2205	165	2	violence	violence	NOUN
cana-2205	165	3	detection	detection	NOUN
cana-2205	165	4	in	in	ADP
cana-2205	165	5	videos	video	NOUN
cana-2205	165	6	by	by	ADP
cana-2205	165	7	combining	combine	VERB
cana-2205	165	8	3d	3d	NUM
cana-2205	165	9	convolutional	convolutional	ADJ
cana-2205	165	10	neural	neural	ADJ
cana-2205	165	11	networks	network	NOUN
cana-2205	165	12	and	and	CCONJ
cana-2205	165	13	support	support	VERB
cana-2205	165	14	vector	vector	NOUN
cana-2205	165	15	machines	machine	NOUN
cana-2205	165	16	.	.	PUNCT
cana-2205	165	17	"	"	PUNCT
cana-2205	165	18	applied	apply	VERB
cana-2205	165	19	artificial	artificial	ADJ
cana-2205	165	20	intelligence	intelligence	NOUN
cana-2205	165	21	34	34	NUM
cana-2205	165	22	,	,	PUNCT
cana-2205	165	23	no	no	INTJ
cana-2205	165	24	.	.	NOUN
cana-2205	165	25	4	4	NUM
cana-2205	165	26	(	(	PUNCT
cana-2205	165	27	2020	2020	NUM
cana-2205	165	28	):	):	PUNCT
cana-2205	165	29	329	329	NUM
cana-2205	165	30	-	-	SYM
cana-2205	165	31	344	344	NUM
cana-2205	165	32	.	.	PUNCT
cana-2205	166	1	[	[	X
cana-2205	166	2	15	15	NUM
cana-2205	166	3	]	]	X
cana-2205	166	4	pokkuluri	pokkuluri	NOUN
cana-2205	166	5	,	,	PUNCT
cana-2205	166	6	kiran	kiran	PROPN
cana-2205	166	7	sree	sree	PROPN
cana-2205	166	8	,	,	PUNCT
cana-2205	166	9	and	and	CCONJ
cana-2205	166	10	alex	alex	PROPN
cana-2205	166	11	khang	khang	PROPN
cana-2205	166	12	.	.	PUNCT
cana-2205	167	1	"	"	PUNCT
cana-2205	167	2	integration	integration	NOUN
cana-2205	167	3	of	of	ADP
cana-2205	167	4	machine	machine	NOUN
cana-2205	167	5	learning	learning	NOUN
cana-2205	167	6	augmented	augment	VERB
cana-2205	167	7	with	with	ADP
cana-2205	167	8	biosensors	biosensor	NOUN
cana-2205	167	9	for	for	ADP
cana-2205	167	10	enhanced	enhanced	ADJ
cana-2205	167	11	water	water	NOUN
cana-2205	167	12	quality	quality	NOUN
cana-2205	167	13	monitoring	monitoring	NOUN
cana-2205	167	14	.	.	PUNCT
cana-2205	167	15	"	"	PUNCT
cana-2205	168	1	in	in	ADP
cana-2205	168	2	agriculture	agriculture	NOUN
cana-2205	168	3	and	and	CCONJ
cana-2205	168	4	aquaculture	aquaculture	NOUN
cana-2205	168	5	applications	application	NOUN
cana-2205	168	6	of	of	ADP
cana-2205	168	7	biosensors	biosensor	NOUN
cana-2205	168	8	and	and	CCONJ
cana-2205	168	9	bioelectronics	bioelectronic	NOUN
cana-2205	168	10	,	,	PUNCT
cana-2205	168	11	pp	pp	ADJ
cana-2205	168	12	.	.	PUNCT
cana-2205	168	13	181192	181192	NUM
cana-2205	168	14	.	.	PUNCT
cana-2205	169	1	igi	igi	PROPN
cana-2205	169	2	global	global	PROPN
cana-2205	169	3	,	,	PUNCT
cana-2205	169	4	2024	2024	NUM
cana-2205	169	5	.	.	PUNCT
cana-2205	170	1	[	[	X
cana-2205	170	2	16	16	NUM
cana-2205	170	3	]	]	X
cana-2205	170	4	funke	funke	PROPN
cana-2205	170	5	,	,	PUNCT
cana-2205	170	6	isabel	isabel	PROPN
cana-2205	170	7	,	,	PUNCT
cana-2205	170	8	sören	sören	PROPN
cana-2205	170	9	torge	torge	PROPN
cana-2205	170	10	mees	mees	PROPN
cana-2205	170	11	,	,	PUNCT
cana-2205	170	12	jürgen	jürgen	PROPN
cana-2205	170	13	weitz	weitz	PROPN
cana-2205	170	14	,	,	PUNCT
cana-2205	170	15	and	and	CCONJ
cana-2205	170	16	stefanie	stefanie	PROPN
cana-2205	170	17	speidel	speidel	PROPN
cana-2205	170	18	.	.	PUNCT
cana-2205	171	1	"	"	PUNCT
cana-2205	171	2	video	video	NOUN
cana-2205	171	3	-	-	PUNCT
cana-2205	171	4	based	base	VERB
cana-2205	171	5	surgical	surgical	ADJ
cana-2205	171	6	skill	skill	NOUN
cana-2205	171	7	assessment	assessment	NOUN
cana-2205	171	8	using	use	VERB
cana-2205	171	9	3d	3d	NUM
cana-2205	171	10	convolutional	convolutional	ADJ
cana-2205	171	11	neural	neural	ADJ
cana-2205	171	12	networks	network	NOUN
cana-2205	171	13	.	.	PUNCT
cana-2205	171	14	"	"	PUNCT
cana-2205	172	1	international	international	ADJ
cana-2205	172	2	journal	journal	NOUN
cana-2205	172	3	of	of	ADP
cana-2205	172	4	computer	computer	NOUN
cana-2205	172	5	assisted	assist	VERB
cana-2205	172	6	radiology	radiology	NOUN
cana-2205	172	7	and	and	CCONJ
cana-2205	172	8	surgery	surgery	NOUN
cana-2205	172	9	14	14	NUM
cana-2205	172	10	(	(	PUNCT
cana-2205	172	11	2019	2019	NUM
cana-2205	172	12	):	):	PUNCT
cana-2205	172	13	12171225	12171225	NUM
cana-2205	172	14	.	.	PUNCT
cana-2205	173	1	[	[	X
cana-2205	173	2	17	17	NUM
cana-2205	173	3	]	]	SYM
cana-2205	173	4	li	li	PROPN
cana-2205	173	5	,	,	PUNCT
cana-2205	173	6	jianing	jiane	VERB
cana-2205	173	7	,	,	PUNCT
cana-2205	173	8	shiliang	shiliang	PROPN
cana-2205	173	9	zhang	zhang	PROPN
cana-2205	173	10	,	,	PUNCT
cana-2205	173	11	and	and	CCONJ
cana-2205	173	12	tiejun	tiejun	PROPN
cana-2205	173	13	huang	huang	PROPN
cana-2205	173	14	.	.	PUNCT
cana-2205	174	1	"	"	PUNCT
cana-2205	174	2	multi	multi	ADJ
cana-2205	174	3	-	-	ADJ
cana-2205	174	4	scale	scale	ADJ
cana-2205	174	5	3d	3d	NUM
cana-2205	174	6	convolution	convolution	NOUN
cana-2205	174	7	network	network	NOUN
cana-2205	174	8	for	for	ADP
cana-2205	174	9	video	video	NOUN
cana-2205	174	10	based	base	VERB
cana-2205	174	11	person	person	NOUN
cana-2205	174	12	reidentification	reidentification	NOUN
cana-2205	174	13	.	.	PUNCT
cana-2205	174	14	"	"	PUNCT
cana-2205	175	1	in	in	ADP
cana-2205	175	2	proceedings	proceeding	NOUN
cana-2205	175	3	of	of	ADP
cana-2205	175	4	the	the	DET
cana-2205	175	5	aaai	aaai	PROPN
cana-2205	175	6	conference	conference	NOUN
cana-2205	175	7	on	on	ADP
cana-2205	175	8	artificial	artificial	ADJ
cana-2205	175	9	intelligence	intelligence	NOUN
cana-2205	175	10	,	,	PUNCT
cana-2205	175	11	vol	vol	NOUN
cana-2205	175	12	.	.	PROPN
cana-2205	175	13	33	33	NUM
cana-2205	175	14	,	,	PUNCT
cana-2205	175	15	no	no	INTJ
cana-2205	175	16	.	.	NOUN
cana-2205	175	17	01	01	NUM
cana-2205	175	18	,	,	PUNCT
cana-2205	175	19	pp	pp	ADJ
cana-2205	175	20	.	.	PUNCT
cana-2205	175	21	8618	8618	NUM
cana-2205	175	22	-	-	SYM
cana-2205	175	23	8625	8625	NUM
cana-2205	175	24	.	.	PUNCT
cana-2205	175	25	2019	2019	NUM
cana-2205	175	26	.	.	PUNCT
cana-2205	176	1	[	[	X
cana-2205	176	2	18	18	NUM
cana-2205	176	3	]	]	SYM
cana-2205	176	4	li	li	PROPN
cana-2205	176	5	,	,	PUNCT
cana-2205	176	6	jing	jing	PROPN
cana-2205	176	7	,	,	PUNCT
cana-2205	176	8	yandan	yandan	PROPN
cana-2205	176	9	wang	wang	PROPN
cana-2205	176	10	,	,	PUNCT
cana-2205	176	11	john	john	PROPN
cana-2205	176	12	see	see	PROPN
cana-2205	176	13	,	,	PUNCT
cana-2205	176	14	and	and	CCONJ
cana-2205	176	15	wenbin	wenbin	AUX
cana-2205	176	16	liu	liu	PROPN
cana-2205	176	17	.	.	PUNCT
cana-2205	177	1	"	"	PUNCT
cana-2205	177	2	micro	micro	ADJ
cana-2205	177	3	-	-	NOUN
cana-2205	177	4	expression	expression	ADJ
cana-2205	177	5	recognition	recognition	NOUN
cana-2205	177	6	based	base	VERB
cana-2205	177	7	on	on	ADP
cana-2205	177	8	3d	3d	NUM
cana-2205	177	9	flow	flow	NOUN
cana-2205	177	10	convolutional	convolutional	ADJ
cana-2205	177	11	neural	neural	ADJ
cana-2205	177	12	network	network	NOUN
cana-2205	177	13	.	.	PUNCT
cana-2205	177	14	"	"	PUNCT
cana-2205	177	15	pattern	pattern	NOUN
cana-2205	177	16	analysis	analysis	NOUN
cana-2205	177	17	and	and	CCONJ
cana-2205	177	18	applications	application	NOUN
cana-2205	177	19	22	22	NUM
cana-2205	177	20	(	(	PUNCT
cana-2205	177	21	2019	2019	NUM
cana-2205	177	22	):	):	PUNCT
cana-2205	177	23	1331	1331	NUM
cana-2205	177	24	-	-	SYM
cana-2205	177	25	1339	1339	NUM
cana-2205	177	26	.	.	PUNCT
cana-2205	178	1	[	[	X
cana-2205	178	2	19	19	NUM
cana-2205	178	3	]	]	X
cana-2205	178	4	sree	sree	PROPN
cana-2205	178	5	,	,	PUNCT
cana-2205	178	6	pokkuluri	pokkuluri	NOUN
cana-2205	178	7	kiran	kiran	PROPN
cana-2205	178	8	,	,	PUNCT
cana-2205	178	9	gurujukota	gurujukota	PROPN
cana-2205	178	10	ramesh	ramesh	PROPN
cana-2205	178	11	babu	babu	PROPN
cana-2205	178	12	,	,	PUNCT
cana-2205	178	13	pbv	pbv	VERB
cana-2205	178	14	raja	raja	PROPN
cana-2205	178	15	rao	rao	PROPN
cana-2205	178	16	,	,	PUNCT
cana-2205	178	17	phaneendra	phaneendra	PROPN
cana-2205	178	18	varma	varma	PROPN
cana-2205	178	19	chintalapati	chintalapati	PROPN
cana-2205	178	20	,	,	PUNCT
cana-2205	178	21	and	and	CCONJ
cana-2205	178	22	m.	m.	PROPN
cana-2205	178	23	prasad	prasad	PROPN
cana-2205	178	24	.	.	PUNCT
cana-2205	179	1	"	"	PUNCT
cana-2205	179	2	fake	fake	ADJ
cana-2205	179	3	news	news	NOUN
cana-2205	179	4	detection	detection	NOUN
cana-2205	179	5	using	use	VERB
cana-2205	179	6	cellular	cellular	ADJ
cana-2205	179	7	automata	automata	NOUN
cana-2205	179	8	based	base	VERB
cana-2205	179	9	deep	deep	ADJ
cana-2205	179	10	learning	learning	NOUN
cana-2205	179	11	.	.	PUNCT
cana-2205	179	12	"	"	PUNCT
cana-2205	180	1	in	in	ADP
cana-2205	180	2	2023	2023	NUM
cana-2205	180	3	3rd	3rd	ADJ
cana-2205	180	4	international	international	ADJ
cana-2205	180	5	conference	conference	NOUN
cana-2205	180	6	on	on	ADP
cana-2205	180	7	computing	computing	NOUN
cana-2205	180	8	and	and	CCONJ
cana-2205	180	9	information	information	NOUN
cana-2205	180	10	technology	technology	NOUN
cana-2205	180	11	(	(	PUNCT
cana-2205	180	12	iccit	iccit	NOUN
cana-2205	180	13	)	)	PUNCT
cana-2205	180	14	,	,	PUNCT
cana-2205	180	15	pp	pp	PROPN
cana-2205	180	16	.	.	PUNCT
cana-2205	181	1	167	167	NUM
cana-2205	181	2	-	-	SYM
cana-2205	181	3	171	171	NUM
cana-2205	181	4	.	.	PUNCT
cana-2205	181	5	ieee	ieee	NOUN
cana-2205	181	6	,	,	PUNCT
cana-2205	181	7	2023	2023	NUM
cana-2205	181	8	.	.	PUNCT
cana-2205	182	1	[	[	X
cana-2205	182	2	20	20	NUM
cana-2205	182	3	]	]	X
cana-2205	182	4	haddad	haddad	PROPN
cana-2205	182	5	,	,	PUNCT
cana-2205	182	6	jad	jad	PROPN
cana-2205	182	7	,	,	PUNCT
cana-2205	182	8	olivier	olivier	PROPN
cana-2205	182	9	lézoray	lézoray	PROPN
cana-2205	182	10	,	,	PUNCT
cana-2205	182	11	and	and	CCONJ
cana-2205	182	12	philippe	philippe	PROPN
cana-2205	182	13	hamel	hamel	PROPN
cana-2205	182	14	.	.	PUNCT
cana-2205	183	1	"	"	PUNCT
cana-2205	183	2	3d	3d	NUM
cana-2205	183	3	-	-	PUNCT
cana-2205	183	4	cnn	cnn	PROPN
cana-2205	183	5	for	for	ADP
cana-2205	183	6	facial	facial	ADJ
cana-2205	183	7	emotion	emotion	NOUN
cana-2205	183	8	recognition	recognition	NOUN
cana-2205	183	9	in	in	ADP
cana-2205	183	10	videos	video	NOUN
cana-2205	183	11	.	.	PUNCT
cana-2205	183	12	"	"	PUNCT
cana-2205	183	13	in	in	ADP
cana-2205	183	14	advances	advance	NOUN
cana-2205	183	15	in	in	ADP
cana-2205	183	16	visual	visual	ADJ
cana-2205	183	17	computing	computing	NOUN
cana-2205	183	18	:	:	PUNCT
cana-2205	183	19	15th	15th	ADJ
cana-2205	183	20	international	international	ADJ
cana-2205	183	21	symposium	symposium	NOUN
cana-2205	183	22	,	,	PUNCT
cana-2205	183	23	isvc	isvc	NOUN
cana-2205	183	24	2020	2020	NUM
cana-2205	183	25	,	,	PUNCT
cana-2205	183	26	san	san	PROPN
cana-2205	183	27	diego	diego	PROPN
cana-2205	183	28	,	,	PUNCT
cana-2205	183	29	ca	ca	PROPN
cana-2205	183	30	,	,	PUNCT
cana-2205	183	31	usa	usa	PROPN
cana-2205	183	32	,	,	PUNCT
cana-2205	183	33	october	october	PROPN
cana-2205	183	34	5–7	5–7	NUM
cana-2205	183	35	,	,	PUNCT
cana-2205	183	36	2020	2020	NUM
cana-2205	183	37	,	,	PUNCT
cana-2205	183	38	proceedings	proceeding	NOUN
cana-2205	183	39	,	,	PUNCT
cana-2205	183	40	part	part	NOUN
cana-2205	183	41	ii	ii	PROPN
cana-2205	183	42	15	15	NUM
cana-2205	183	43	,	,	PUNCT
cana-2205	183	44	pp	pp	ADJ
cana-2205	183	45	.	.	PUNCT
cana-2205	183	46	298	298	NUM
cana-2205	183	47	-	-	SYM
cana-2205	183	48	309	309	NUM
cana-2205	183	49	.	.	PUNCT
cana-2205	184	1	springer	springer	NOUN
cana-2205	184	2	international	international	ADJ
cana-2205	184	3	publishing	publishing	NOUN
cana-2205	184	4	,	,	PUNCT
cana-2205	184	5	2020	2020	NUM
cana-2205	184	6	.	.	PUNCT
cana-2205	185	1	[	[	X
cana-2205	185	2	21	21	NUM
cana-2205	185	3	]	]	X
cana-2205	185	4	reddy	reddy	PROPN
cana-2205	185	5	,	,	PUNCT
cana-2205	185	6	sai	sai	PROPN
cana-2205	185	7	prasanna	prasanna	PROPN
cana-2205	185	8	teja	teja	PROPN
cana-2205	185	9	,	,	PUNCT
cana-2205	185	10	surya	surya	PROPN
cana-2205	185	11	teja	teja	PROPN
cana-2205	185	12	karri	karri	PROPN
cana-2205	185	13	,	,	PUNCT
cana-2205	185	14	shiv	shiv	PROPN
cana-2205	185	15	ram	ram	PROPN
cana-2205	185	16	dubey	dubey	PROPN
cana-2205	185	17	,	,	PUNCT
cana-2205	185	18	and	and	CCONJ
cana-2205	185	19	snehasis	snehasis	NOUN
cana-2205	185	20	mukherjee	mukherjee	NOUN
cana-2205	185	21	.	.	PUNCT
cana-2205	186	1	"	"	PUNCT
cana-2205	186	2	spontaneous	spontaneous	ADJ
cana-2205	186	3	facial	facial	ADJ
cana-2205	186	4	microexpression	microexpression	NOUN
cana-2205	186	5	recognition	recognition	NOUN
cana-2205	186	6	using	use	VERB
cana-2205	186	7	3d	3d	NUM
cana-2205	186	8	spatiotemporal	spatiotemporal	ADJ
cana-2205	186	9	convolutional	convolutional	ADJ
cana-2205	186	10	neural	neural	ADJ
cana-2205	186	11	networks	network	NOUN
cana-2205	186	12	.	.	PUNCT
cana-2205	186	13	"	"	PUNCT
cana-2205	187	1	in	in	ADP
cana-2205	187	2	2019	2019	NUM
cana-2205	187	3	international	international	ADJ
cana-2205	187	4	joint	joint	ADJ
cana-2205	187	5	conference	conference	NOUN
cana-2205	187	6	on	on	ADP
cana-2205	187	7	neural	neural	ADJ
cana-2205	187	8	networks	network	NOUN
cana-2205	187	9	(	(	PUNCT
cana-2205	187	10	ijcnn	ijcnn	PROPN
cana-2205	187	11	)	)	PUNCT
cana-2205	187	12	,	,	PUNCT
cana-2205	187	13	pp	pp	ADJ
cana-2205	187	14	.	.	PUNCT
cana-2205	187	15	1	1	NUM
cana-2205	187	16	-	-	SYM
cana-2205	187	17	8	8	NUM
cana-2205	187	18	.	.	PUNCT
cana-2205	187	19	ieee	ieee	NOUN
cana-2205	187	20	,	,	PUNCT
cana-2205	187	21	2019	2019	NUM
cana-2205	187	22	.	.	PUNCT
cana-2205	188	1	[	[	X
cana-2205	188	2	22	22	NUM
cana-2205	188	3	]	]	PUNCT
cana-2205	188	4	salama	salama	NOUN
cana-2205	188	5	,	,	PUNCT
cana-2205	188	6	elham	elham	PROPN
cana-2205	188	7	s.	s.	PROPN
cana-2205	188	8	,	,	PUNCT
cana-2205	188	9	reda	reda	PROPN
cana-2205	188	10	a.	a.	PROPN
cana-2205	188	11	el	el	PROPN
cana-2205	188	12	-	-	PUNCT
cana-2205	188	13	khoribi	khoribi	PROPN
cana-2205	188	14	,	,	PUNCT
cana-2205	188	15	mahmoud	mahmoud	PROPN
cana-2205	188	16	e.	e.	PROPN
cana-2205	188	17	shoman	shoman	PROPN
cana-2205	188	18	,	,	PUNCT
cana-2205	188	19	and	and	CCONJ
cana-2205	188	20	mohamed	mohamed	PROPN
cana-2205	188	21	a.	a.	PROPN
cana-2205	188	22	wahby	wahby	PROPN
cana-2205	188	23	shalaby	shalaby	PROPN
cana-2205	188	24	.	.	PUNCT
cana-2205	189	1	"	"	PUNCT
cana-2205	189	2	a	a	DET
cana-2205	189	3	3dconvolutional	3dconvolutional	ADJ
cana-2205	189	4	neural	neural	ADJ
cana-2205	189	5	network	network	NOUN
cana-2205	189	6	framework	framework	NOUN
cana-2205	189	7	with	with	ADP
cana-2205	189	8	ensemble	ensemble	ADJ
cana-2205	189	9	learning	learning	NOUN
cana-2205	189	10	techniques	technique	NOUN
cana-2205	189	11	for	for	ADP
cana-2205	189	12	multi	multi	ADJ
cana-2205	189	13	-	-	ADJ
cana-2205	189	14	modal	modal	ADJ
cana-2205	189	15	emotion	emotion	NOUN
cana-2205	189	16	recognition	recognition	NOUN
cana-2205	189	17	.	.	PUNCT
cana-2205	189	18	"	"	PUNCT
cana-2205	190	1	egyptian	egyptian	ADJ
cana-2205	190	2	informatics	informatics	PROPN
cana-2205	190	3	journal	journal	PROPN
cana-2205	190	4	22	22	NUM
cana-2205	190	5	,	,	PUNCT
cana-2205	190	6	no	no	INTJ
cana-2205	190	7	.	.	NOUN
cana-2205	190	8	2	2	NUM
cana-2205	190	9	(	(	PUNCT
cana-2205	190	10	2021	2021	NUM
cana-2205	190	11	):	):	PUNCT
cana-2205	190	12	167	167	NUM
cana-2205	190	13	-	-	SYM
cana-2205	190	14	176	176	NUM
cana-2205	190	15	.	.	PUNCT
cana-2205	191	1	[	[	X
cana-2205	191	2	23	23	NUM
cana-2205	191	3	]	]	X
cana-2205	191	4	pokkuluri	pokkuluri	NOUN
cana-2205	191	5	,	,	PUNCT
cana-2205	191	6	kiran	kiran	PROPN
cana-2205	191	7	sree	sree	PROPN
cana-2205	191	8	,	,	PUNCT
cana-2205	191	9	usha	usha	PROPN
cana-2205	191	10	devi	devi	PROPN
cana-2205	191	11	nsssn	nsssn	PROPN
cana-2205	191	12	,	,	PUNCT
cana-2205	191	13	martin	martin	PROPN
cana-2205	191	14	margala	margala	PROPN
cana-2205	191	15	,	,	PUNCT
cana-2205	191	16	and	and	CCONJ
cana-2205	191	17	prasun	prasun	PROPN
cana-2205	191	18	chakrabarti	chakrabarti	PROPN
cana-2205	191	19	.	.	PUNCT
cana-2205	192	1	"	"	PUNCT
cana-2205	192	2	enhancing	enhance	VERB
cana-2205	192	3	image	image	NOUN
cana-2205	192	4	segmentation	segmentation	NOUN
cana-2205	192	5	accuracy	accuracy	NOUN
cana-2205	192	6	using	use	VERB
cana-2205	192	7	deep	deep	ADJ
cana-2205	192	8	learning	learning	NOUN
cana-2205	192	9	techniques	technique	NOUN
cana-2205	192	10	.	.	PUNCT
cana-2205	192	11	"	"	PUNCT
cana-2205	192	12	journal	journal	NOUN
cana-2205	192	13	of	of	ADP
cana-2205	192	14	advanced	advanced	ADJ
cana-2205	192	15	research	research	NOUN
cana-2205	192	16	in	in	ADP
cana-2205	192	17	applied	apply	VERB
cana-2205	192	18	sciences	science	NOUN
cana-2205	192	19	and	and	CCONJ
cana-2205	192	20	engineering	engineering	NOUN
cana-2205	192	21	technology	technology	NOUN
cana-2205	192	22	49	49	NUM
cana-2205	192	23	,	,	PUNCT
cana-2205	192	24	no	no	INTJ
cana-2205	192	25	.	.	NOUN
cana-2205	192	26	1	1	NUM
cana-2205	192	27	(	(	PUNCT
cana-2205	192	28	2025	2025	NUM
cana-2205	192	29	):	):	PUNCT
cana-2205	192	30	139	139	NUM
cana-2205	192	31	-	-	SYM
cana-2205	192	32	148	148	NUM
cana-2205	192	33	.	.	PUNCT
cana-2205	193	1	[	[	X
cana-2205	193	2	24	24	NUM
cana-2205	193	3	]	]	PUNCT
cana-2205	193	4	sharma	sharma	PROPN
cana-2205	193	5	,	,	PUNCT
cana-2205	193	6	shikhar	shikhar	PROPN
cana-2205	193	7	,	,	PUNCT
cana-2205	193	8	and	and	CCONJ
cana-2205	193	9	krishan	krishan	PROPN
cana-2205	193	10	kumar	kumar	PROPN
cana-2205	193	11	.	.	PUNCT
cana-2205	194	1	"	"	PUNCT
cana-2205	194	2	asl-3dcnn	asl-3dcnn	NOUN
cana-2205	194	3	:	:	PUNCT
cana-2205	194	4	american	american	ADJ
cana-2205	194	5	sign	sign	PROPN
cana-2205	194	6	language	language	NOUN
cana-2205	194	7	recognition	recognition	NOUN
cana-2205	194	8	technique	technique	NOUN
cana-2205	194	9	using	use	VERB
cana-2205	194	10	3	3	NUM
cana-2205	194	11	-	-	PUNCT
cana-2205	194	12	d	d	ADJ
cana-2205	194	13	convolutional	convolutional	ADJ
cana-2205	194	14	neural	neural	ADJ
cana-2205	194	15	networks	network	NOUN
cana-2205	194	16	.	.	PUNCT
cana-2205	194	17	"	"	PUNCT
cana-2205	194	18	multimedia	multimedia	NOUN
cana-2205	194	19	tools	tool	NOUN
cana-2205	194	20	and	and	CCONJ
cana-2205	194	21	applications	application	NOUN
cana-2205	194	22	80	80	NUM
cana-2205	194	23	,	,	PUNCT
cana-2205	194	24	no	no	INTJ
cana-2205	194	25	.	.	NOUN
cana-2205	194	26	17	17	NUM
cana-2205	194	27	(	(	PUNCT
cana-2205	194	28	2021	2021	NUM
cana-2205	194	29	):	):	PUNCT
cana-2205	194	30	26319	26319	NUM
cana-2205	194	31	-	-	SYM
cana-2205	194	32	26331	26331	NUM
cana-2205	194	33	.	.	PUNCT
cana-2205	195	1	[	[	X
cana-2205	195	2	25	25	NUM
cana-2205	195	3	]	]	SYM
cana-2205	195	4	solovyev	solovyev	PROPN
cana-2205	195	5	,	,	PUNCT
cana-2205	195	6	roman	roman	NOUN
cana-2205	195	7	,	,	PUNCT
cana-2205	195	8	alexandr	alexandr	PROPN
cana-2205	195	9	a.	a.	NOUN
cana-2205	195	10	kalinin	kalinin	PROPN
cana-2205	195	11	,	,	PUNCT
cana-2205	195	12	and	and	CCONJ
cana-2205	195	13	tatiana	tatiana	PROPN
cana-2205	195	14	gabruseva	gabruseva	PROPN
cana-2205	195	15	.	.	PUNCT
cana-2205	196	1	"	"	PUNCT
cana-2205	196	2	3d	3d	NUM
cana-2205	196	3	convolutional	convolutional	ADJ
cana-2205	196	4	neural	neural	ADJ
cana-2205	196	5	networks	network	NOUN
cana-2205	196	6	for	for	ADP
cana-2205	196	7	stalled	stall	VERB
cana-2205	196	8	brain	brain	NOUN
cana-2205	196	9	capillary	capillary	ADJ
cana-2205	196	10	detection	detection	NOUN
cana-2205	196	11	.	.	PUNCT
cana-2205	196	12	"	"	PUNCT
cana-2205	197	1	computers	computer	NOUN
cana-2205	197	2	in	in	ADP
cana-2205	197	3	biology	biology	NOUN
cana-2205	197	4	and	and	CCONJ
cana-2205	197	5	medicine	medicine	NOUN
cana-2205	197	6	141	141	NUM
cana-2205	197	7	(	(	PUNCT
cana-2205	197	8	2022	2022	NUM
cana-2205	197	9	):	):	PUNCT
cana-2205	197	10	105089	105089	NUM
cana-2205	197	11	.	.	PUNCT
cana-2205	198	1	[	[	X
cana-2205	198	2	26	26	NUM
cana-2205	198	3	]	]	X
cana-2205	198	4	sree	sree	PROPN
cana-2205	198	5	,	,	PUNCT
cana-2205	198	6	pokkuluri	pokkuluri	NOUN
cana-2205	198	7	kiran	kiran	PROPN
cana-2205	198	8	,	,	PUNCT
cana-2205	198	9	prasun	prasun	PROPN
cana-2205	198	10	chakrabarti	chakrabarti	PROPN
cana-2205	198	11	,	,	PUNCT
cana-2205	198	12	martin	martin	PROPN
cana-2205	198	13	margala	margala	PROPN
cana-2205	198	14	,	,	PUNCT
cana-2205	198	15	phaneendra	phaneendra	PROPN
cana-2205	198	16	varma	varma	PROPN
cana-2205	198	17	chintalapati	chintalapati	PROPN
cana-2205	198	18	,	,	PUNCT
cana-2205	198	19	gurujukota	gurujukota	PROPN
cana-2205	198	20	ramesh	ramesh	PROPN
cana-2205	198	21	babu	babu	PROPN
cana-2205	198	22	,	,	PUNCT
cana-2205	198	23	and	and	CCONJ
cana-2205	198	24	s.	s.	PROPN
cana-2205	198	25	s.	s.	PROPN
cana-2205	198	26	s.	s.	PROPN
cana-2205	198	27	n.	n.	PROPN
cana-2205	198	28	usha	usha	PROPN
cana-2205	198	29	devi	devi	PROPN
cana-2205	198	30	n.	n.	PROPN
cana-2205	198	31	"	"	PUNCT
cana-2205	198	32	hybrid	hybrid	ADJ
cana-2205	198	33	cellular	cellular	ADJ
cana-2205	198	34	automata	automata	NOUN
cana-2205	198	35	with	with	ADP
cana-2205	198	36	cnn	cnn	PROPN
cana-2205	198	37	for	for	ADP
cana-2205	198	38	the	the	DET
cana-2205	198	39	prediction	prediction	NOUN
cana-2205	198	40	of	of	ADP
cana-2205	198	41	secondary	secondary	ADJ
cana-2205	198	42	structure	structure	NOUN
cana-2205	198	43	of	of	ADP
cana-2205	198	44	protein	protein	NOUN
cana-2205	198	45	.	.	PUNCT
cana-2205	198	46	"	"	PUNCT
cana-2205	199	1	in	in	ADP
cana-2205	199	2	international	international	ADJ
cana-2205	199	3	conference	conference	NOUN
cana-2205	199	4	on	on	ADP
cana-2205	199	5	innovations	innovation	NOUN
cana-2205	199	6	in	in	ADP
cana-2205	199	7	data	datum	NOUN
cana-2205	199	8	analytics	analytic	NOUN
cana-2205	199	9	,	,	PUNCT
cana-2205	199	10	pp	pp	ADV
cana-2205	199	11	.	.	PUNCT
cana-2205	199	12	303	303	NUM
cana-2205	199	13	-	-	SYM
cana-2205	199	14	311	311	NUM
cana-2205	199	15	.	.	PUNCT
cana-2205	199	16	singapore	singapore	PROPN
cana-2205	199	17	:	:	PUNCT
cana-2205	199	18	springer	springer	NOUN
cana-2205	199	19	nature	nature	PROPN
cana-2205	199	20	singapore	singapore	PROPN
cana-2205	199	21	,	,	PUNCT
cana-2205	199	22	2023	2023	NUM
cana-2205	199	23	.	.	PUNCT