id	sid	tid	token	lemma	pos
cana-690	1	1	communications	communication	NOUN
cana-690	1	2	on	on	ADP
cana-690	1	3	applied	apply	VERB
cana-690	1	4	nonlinear	nonlinear	ADJ
cana-690	1	5	analysis	analysis	NOUN
cana-690	1	6	issn	issn	NOUN
cana-690	1	7	:	:	PUNCT
cana-690	1	8	1074	1074	NUM
cana-690	1	9	-	-	PUNCT
cana-690	1	10	133x	133x	NUM
cana-690	1	11	vol	vol	NOUN
cana-690	1	12	31	31	NUM
cana-690	1	13	no	no	NOUN
cana-690	1	14	.	.	PUNCT
cana-690	2	1	2s	2s	NUM
cana-690	2	2	(	(	PUNCT
cana-690	2	3	2024	2024	NUM
cana-690	2	4	)	)	PUNCT
cana-690	2	5	630	630	NUM
cana-690	2	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-690	2	7	efficient	efficient	ADJ
cana-690	2	8	facial	facial	ADJ
cana-690	2	9	emotion	emotion	NOUN
cana-690	2	10	detection	detection	NOUN
cana-690	2	11	through	through	ADP
cana-690	2	12	deep	deep	ADJ
cana-690	2	13	learning	learning	NOUN
cana-690	2	14	techniques	technique	NOUN
cana-690	2	15	priti	priti	PROPN
cana-690	2	16	singh1	singh1	PROPN
cana-690	2	17	,	,	PUNCT
cana-690	2	18	hari	hari	NOUN
cana-690	2	19	om	om	PROPN
cana-690	2	20	sharan2	sharan2	PROPN
cana-690	2	21	,	,	PUNCT
cana-690	2	22	c.s	c.s	PROPN
cana-690	2	23	.	.	PROPN
cana-690	2	24	raghuvanshi3	raghuvanshi3	PROPN
cana-690	2	25	1,2,3department	1,2,3department	NUM
cana-690	2	26	of	of	ADP
cana-690	2	27	computer	computer	NOUN
cana-690	2	28	science	science	PROPN
cana-690	2	29	&	&	CCONJ
cana-690	2	30	engineering	engineering	PROPN
cana-690	2	31	,	,	PUNCT
cana-690	2	32	faculty	faculty	NOUN
cana-690	2	33	of	of	ADP
cana-690	2	34	engineering	engineering	NOUN
cana-690	2	35	and	and	CCONJ
cana-690	2	36	technology	technology	NOUN
cana-690	2	37	,	,	PUNCT
cana-690	2	38	rama	rama	PROPN
cana-690	2	39	university	university	PROPN
cana-690	2	40	,	,	PUNCT
cana-690	2	41	uttar	uttar	PROPN
cana-690	2	42	pradesh	pradesh	PROPN
cana-690	2	43	,	,	PUNCT
cana-690	2	44	kanpur	kanpur	PROPN
cana-690	2	45	preetirama05@gmail.com*1	preetirama05@gmail.com*1	PROPN
cana-690	2	46	,	,	PUNCT
cana-690	2	47	sharan.hariom@gmail.com2	sharan.hariom@gmail.com2	PROPN
cana-690	2	48	,	,	PUNCT
cana-690	2	49	drcsraghuvanshi@gmail.com3	drcsraghuvanshi@gmail.com3	NOUN
cana-690	2	50	article	article	NOUN
cana-690	2	51	history	history	NOUN
cana-690	2	52	:	:	PUNCT
cana-690	2	53	received	receive	VERB
cana-690	2	54	:	:	PUNCT
cana-690	2	55	25	25	NUM
cana-690	2	56	-	-	PUNCT
cana-690	2	57	03	03	NUM
cana-690	2	58	-	-	PUNCT
cana-690	2	59	2024	2024	NUM
cana-690	2	60	revised	revise	VERB
cana-690	2	61	:	:	PUNCT
cana-690	2	62	15	15	NUM
cana-690	2	63	-	-	SYM
cana-690	2	64	05	05	NUM
cana-690	2	65	-	-	PUNCT
cana-690	2	66	2024	2024	NUM
cana-690	2	67	accepted	accept	VERB
cana-690	2	68	:	:	PUNCT
cana-690	2	69	29	29	NUM
cana-690	2	70	-	-	SYM
cana-690	2	71	05	05	NUM
cana-690	2	72	-	-	PUNCT
cana-690	2	73	2024	2024	NUM
cana-690	2	74	abstract	abstract	NOUN
cana-690	2	75	:	:	PUNCT
cana-690	2	76	smart	smart	ADJ
cana-690	2	77	facial	facial	ADJ
cana-690	2	78	emotion	emotion	NOUN
cana-690	2	79	detection	detection	NOUN
cana-690	2	80	represents	represent	VERB
cana-690	2	81	a	a	DET
cana-690	2	82	captivating	captivating	ADJ
cana-690	2	83	realm	realm	NOUN
cana-690	2	84	of	of	ADP
cana-690	2	85	inquiry	inquiry	NOUN
cana-690	2	86	that	that	PRON
cana-690	2	87	has	have	AUX
cana-690	2	88	found	find	VERB
cana-690	2	89	applications	application	NOUN
cana-690	2	90	across	across	ADP
cana-690	2	91	diverse	diverse	ADJ
cana-690	2	92	sectors	sector	NOUN
cana-690	2	93	such	such	ADJ
cana-690	2	94	as	as	ADP
cana-690	2	95	defense	defense	NOUN
cana-690	2	96	,	,	PUNCT
cana-690	2	97	healthcare	healthcare	PROPN
cana-690	2	98	,	,	PUNCT
cana-690	2	99	and	and	CCONJ
cana-690	2	100	human	human	ADJ
cana-690	2	101	-	-	PUNCT
cana-690	2	102	machine	machine	NOUN
cana-690	2	103	interfaces	interface	NOUN
cana-690	2	104	.	.	PUNCT
cana-690	3	1	researchers	researcher	NOUN
cana-690	3	2	are	be	AUX
cana-690	3	3	diligently	diligently	ADV
cana-690	3	4	exploring	explore	VERB
cana-690	3	5	methods	method	NOUN
cana-690	3	6	to	to	PART
cana-690	3	7	encode	encode	VERB
cana-690	3	8	,	,	PUNCT
cana-690	3	9	decode	decode	ADJ
cana-690	3	10	,	,	PUNCT
cana-690	3	11	and	and	CCONJ
cana-690	3	12	even	even	ADV
cana-690	3	13	obfuscate	obfuscate	VERB
cana-690	3	14	facial	facial	ADJ
cana-690	3	15	cues	cue	NOUN
cana-690	3	16	to	to	PART
cana-690	3	17	refine	refine	VERB
cana-690	3	18	algorithmic	algorithmic	ADJ
cana-690	3	19	predictions	prediction	NOUN
cana-690	3	20	.	.	PUNCT
cana-690	4	1	leveraging	leverage	VERB
cana-690	4	2	a	a	DET
cana-690	4	3	combination	combination	NOUN
cana-690	4	4	of	of	ADP
cana-690	4	5	deep	deep	ADJ
cana-690	4	6	learning	learning	NOUN
cana-690	4	7	algorithms	algorithm	NOUN
cana-690	4	8	and	and	CCONJ
cana-690	4	9	cognitive	cognitive	ADJ
cana-690	4	10	internet	internet	NOUN
cana-690	4	11	of	of	ADP
cana-690	4	12	things	thing	NOUN
cana-690	4	13	(	(	PUNCT
cana-690	4	14	ciot	ciot	NOUN
cana-690	4	15	)	)	PUNCT
cana-690	4	16	,	,	PUNCT
cana-690	4	17	efforts	effort	NOUN
cana-690	4	18	are	be	AUX
cana-690	4	19	underway	underway	ADJ
cana-690	4	20	to	to	PART
cana-690	4	21	bolster	bolster	VERB
cana-690	4	22	efficiency	efficiency	NOUN
cana-690	4	23	in	in	ADP
cana-690	4	24	response	response	NOUN
cana-690	4	25	to	to	ADP
cana-690	4	26	the	the	DET
cana-690	4	27	rapid	rapid	ADJ
cana-690	4	28	evolution	evolution	NOUN
cana-690	4	29	of	of	ADP
cana-690	4	30	this	this	DET
cana-690	4	31	technology	technology	NOUN
cana-690	4	32	.	.	PUNCT
cana-690	5	1	this	this	DET
cana-690	5	2	study	study	NOUN
cana-690	5	3	aims	aim	VERB
cana-690	5	4	to	to	PART
cana-690	5	5	distill	distill	VERB
cana-690	5	6	recent	recent	ADJ
cana-690	5	7	advancements	advancement	NOUN
cana-690	5	8	in	in	ADP
cana-690	5	9	smart	smart	ADJ
cana-690	5	10	facial	facial	ADJ
cana-690	5	11	expression	expression	NOUN
cana-690	5	12	recognition	recognition	NOUN
cana-690	5	13	utilizing	utilize	VERB
cana-690	5	14	deep	deep	ADJ
cana-690	5	15	learning	learning	NOUN
cana-690	5	16	algorithms	algorithm	NOUN
cana-690	5	17	while	while	SCONJ
cana-690	5	18	pioneering	pioneer	VERB
cana-690	5	19	novel	novel	ADJ
cana-690	5	20	approaches	approach	NOUN
cana-690	5	21	to	to	ADP
cana-690	5	22	emotion	emotion	NOUN
cana-690	5	23	detection	detection	NOUN
cana-690	5	24	.	.	PUNCT
cana-690	6	1	the	the	DET
cana-690	6	2	burgeoning	burgeon	VERB
cana-690	6	3	internet	internet	NOUN
cana-690	6	4	of	of	ADP
cana-690	6	5	things	thing	NOUN
cana-690	6	6	landscape	landscape	NOUN
cana-690	6	7	has	have	AUX
cana-690	6	8	underscored	underscore	VERB
cana-690	6	9	a	a	DET
cana-690	6	10	deficiency	deficiency	NOUN
cana-690	6	11	in	in	ADP
cana-690	6	12	technological	technological	ADJ
cana-690	6	13	infrastructure	infrastructure	NOUN
cana-690	6	14	within	within	ADP
cana-690	6	15	current	current	ADJ
cana-690	6	16	automated	automate	VERB
cana-690	6	17	intelligent	intelligent	ADJ
cana-690	6	18	services	service	NOUN
cana-690	6	19	,	,	PUNCT
cana-690	6	20	rendering	render	VERB
cana-690	6	21	them	they	PRON
cana-690	6	22	ill	ill	ADV
cana-690	6	23	-	-	PUNCT
cana-690	6	24	equipped	equip	VERB
cana-690	6	25	to	to	PART
cana-690	6	26	cater	cater	VERB
cana-690	6	27	to	to	ADP
cana-690	6	28	industrial	industrial	ADJ
cana-690	6	29	demands	demand	NOUN
cana-690	6	30	.	.	PUNCT
cana-690	7	1	the	the	DET
cana-690	7	2	gradual	gradual	ADJ
cana-690	7	3	augmentation	augmentation	NOUN
cana-690	7	4	of	of	ADP
cana-690	7	5	internet	internet	NOUN
cana-690	7	6	of	of	ADP
cana-690	7	7	things	thing	NOUN
cana-690	7	8	technologies	technology	NOUN
cana-690	7	9	tailored	tailor	VERB
cana-690	7	10	for	for	ADP
cana-690	7	11	intelligent	intelligent	ADJ
cana-690	7	12	environments	environment	NOUN
cana-690	7	13	has	have	AUX
cana-690	7	14	inadvertently	inadvertently	ADV
cana-690	7	15	led	lead	VERB
cana-690	7	16	to	to	ADP
cana-690	7	17	delays	delay	NOUN
cana-690	7	18	and	and	CCONJ
cana-690	7	19	diminished	diminish	VERB
cana-690	7	20	market	market	NOUN
cana-690	7	21	efficacy	efficacy	NOUN
cana-690	7	22	.	.	PUNCT
cana-690	8	1	deep	deep	ADJ
cana-690	8	2	learning	learning	NOUN
cana-690	8	3	stands	stand	VERB
cana-690	8	4	out	out	ADP
cana-690	8	5	as	as	ADP
cana-690	8	6	a	a	DET
cana-690	8	7	cornerstone	cornerstone	NOUN
cana-690	8	8	in	in	ADP
cana-690	8	9	myriad	myriad	ADJ
cana-690	8	10	applications	application	NOUN
cana-690	8	11	and	and	CCONJ
cana-690	8	12	experimental	experimental	ADJ
cana-690	8	13	setups	setup	NOUN
cana-690	8	14	.	.	PUNCT
cana-690	9	1	addressing	address	VERB
cana-690	9	2	this	this	DET
cana-690	9	3	challenge	challenge	NOUN
cana-690	9	4	necessitates	necessitate	VERB
cana-690	9	5	the	the	DET
cana-690	9	6	formulation	formulation	NOUN
cana-690	9	7	of	of	ADP
cana-690	9	8	emotionally	emotionally	ADV
cana-690	9	9	intelligent	intelligent	ADJ
cana-690	9	10	methodologies	methodology	NOUN
cana-690	9	11	within	within	ADP
cana-690	9	12	the	the	DET
cana-690	9	13	framework	framework	NOUN
cana-690	9	14	of	of	ADP
cana-690	9	15	deep	deep	ADJ
cana-690	9	16	learning	learning	NOUN
cana-690	9	17	,	,	PUNCT
cana-690	9	18	thereby	thereby	ADV
cana-690	9	19	invigorating	invigorate	VERB
cana-690	9	20	internet	internet	NOUN
cana-690	9	21	of	of	ADP
cana-690	9	22	things	thing	NOUN
cana-690	9	23	initiatives	initiative	NOUN
cana-690	9	24	,	,	PUNCT
cana-690	9	25	as	as	SCONJ
cana-690	9	26	elucidated	elucidate	VERB
cana-690	9	27	by	by	ADP
cana-690	9	28	recent	recent	ADJ
cana-690	9	29	strides	stride	NOUN
cana-690	9	30	in	in	ADP
cana-690	9	31	facial	facial	ADJ
cana-690	9	32	emotion	emotion	NOUN
cana-690	9	33	detection	detection	NOUN
cana-690	9	34	applications	application	NOUN
cana-690	9	35	.	.	PUNCT
cana-690	10	1	keywords	keyword	NOUN
cana-690	10	2	:	:	PUNCT
cana-690	10	3	deep	deep	ADJ
cana-690	10	4	learning	learning	NOUN
cana-690	10	5	,	,	PUNCT
cana-690	10	6	facial	facial	ADJ
cana-690	10	7	emotion	emotion	NOUN
cana-690	10	8	recognition	recognition	NOUN
cana-690	10	9	,	,	PUNCT
cana-690	10	10	cognitive	cognitive	ADJ
cana-690	10	11	internet	internet	NOUN
cana-690	10	12	of	of	ADP
cana-690	10	13	things	thing	NOUN
cana-690	10	14	.	.	PUNCT
cana-690	11	1	1	1	X
cana-690	11	2	.	.	X
cana-690	11	3	introduction	introduction	NOUN
cana-690	11	4	emotional	emotional	ADJ
cana-690	11	5	intelligence	intelligence	NOUN
cana-690	11	6	is	be	AUX
cana-690	11	7	the	the	DET
cana-690	11	8	ability	ability	NOUN
cana-690	11	9	to	to	PART
cana-690	11	10	understand	understand	VERB
cana-690	11	11	and	and	CCONJ
cana-690	11	12	interpret	interpret	VERB
cana-690	11	13	thoughts	thought	NOUN
cana-690	11	14	and	and	CCONJ
cana-690	11	15	emotions	emotion	NOUN
cana-690	11	16	.	.	PUNCT
cana-690	12	1	various	various	ADJ
cana-690	12	2	cues	cue	NOUN
cana-690	12	3	such	such	ADJ
cana-690	12	4	as	as	ADP
cana-690	12	5	gestures	gesture	NOUN
cana-690	12	6	,	,	PUNCT
cana-690	12	7	facial	facial	ADJ
cana-690	12	8	expressions	expression	NOUN
cana-690	12	9	,	,	PUNCT
cana-690	12	10	voice	voice	NOUN
cana-690	12	11	tone	tone	NOUN
cana-690	12	12	,	,	PUNCT
cana-690	12	13	and	and	CCONJ
cana-690	12	14	verbal	verbal	ADJ
cana-690	12	15	communication	communication	NOUN
cana-690	12	16	can	can	AUX
cana-690	12	17	aid	aid	VERB
cana-690	12	18	in	in	ADP
cana-690	12	19	recognizing	recognize	VERB
cana-690	12	20	individual	individual	ADJ
cana-690	12	21	emotions	emotion	NOUN
cana-690	12	22	.	.	PUNCT
cana-690	13	1	when	when	SCONJ
cana-690	13	2	we	we	PRON
cana-690	13	3	speak	speak	VERB
cana-690	13	4	of	of	ADP
cana-690	13	5	emotional	emotional	ADJ
cana-690	13	6	intelligence	intelligence	NOUN
cana-690	13	7	,	,	PUNCT
cana-690	13	8	we	we	PRON
cana-690	13	9	inherently	inherently	ADV
cana-690	13	10	refer	refer	VERB
cana-690	13	11	to	to	ADP
cana-690	13	12	the	the	DET
cana-690	13	13	comprehension	comprehension	NOUN
cana-690	13	14	and	and	CCONJ
cana-690	13	15	expression	expression	NOUN
cana-690	13	16	of	of	ADP
cana-690	13	17	feelings	feeling	NOUN
cana-690	13	18	.	.	PUNCT
cana-690	14	1	it	it	PRON
cana-690	14	2	involves	involve	VERB
cana-690	14	3	not	not	PART
cana-690	14	4	just	just	ADV
cana-690	14	5	recognizing	recognize	VERB
cana-690	14	6	emotions	emotion	NOUN
cana-690	14	7	but	but	CCONJ
cana-690	14	8	also	also	ADV
cana-690	14	9	managing	manage	VERB
cana-690	14	10	them	they	PRON
cana-690	14	11	effectively	effectively	ADV
cana-690	14	12	.	.	PUNCT
cana-690	15	1	as	as	ADP
cana-690	15	2	per	per	ADP
cana-690	15	3	[	[	X
cana-690	15	4	1	1	NUM
cana-690	15	5	]	]	PUNCT
cana-690	15	6	,	,	PUNCT
cana-690	15	7	emotional	emotional	ADJ
cana-690	15	8	intelligence	intelligence	NOUN
cana-690	15	9	entails	entail	VERB
cana-690	15	10	assimilating	assimilate	VERB
cana-690	15	11	emotions	emotion	NOUN
cana-690	15	12	into	into	ADP
cana-690	15	13	one	one	PRON
cana-690	15	14	's	's	PART
cana-690	15	15	cognition	cognition	NOUN
cana-690	15	16	,	,	PUNCT
cana-690	15	17	understanding	understanding	NOUN
cana-690	15	18	,	,	PUNCT
cana-690	15	19	and	and	CCONJ
cana-690	15	20	regulating	regulate	VERB
cana-690	15	21	them	they	PRON
cana-690	15	22	within	within	ADP
cana-690	15	23	oneself	oneself	PRON
cana-690	15	24	and	and	CCONJ
cana-690	15	25	others	other	NOUN
cana-690	15	26	.	.	PUNCT
cana-690	16	1	a	a	DET
cana-690	16	2	smart	smart	ADJ
cana-690	16	3	ecosystem	ecosystem	NOUN
cana-690	16	4	,	,	PUNCT
cana-690	16	5	as	as	SCONJ
cana-690	16	6	defined	define	VERB
cana-690	16	7	,	,	PUNCT
cana-690	16	8	is	be	AUX
cana-690	16	9	a	a	DET
cana-690	16	10	realm	realm	NOUN
cana-690	16	11	where	where	SCONJ
cana-690	16	12	diverse	diverse	ADJ
cana-690	16	13	smart	smart	ADJ
cana-690	16	14	technologies	technology	NOUN
cana-690	16	15	continually	continually	ADV
cana-690	16	16	strive	strive	VERB
cana-690	16	17	to	to	PART
cana-690	16	18	enhance	enhance	VERB
cana-690	16	19	the	the	DET
cana-690	16	20	quality	quality	NOUN
cana-690	16	21	of	of	ADP
cana-690	16	22	life	life	NOUN
cana-690	16	23	for	for	ADP
cana-690	16	24	its	its	PRON
cana-690	16	25	inhabitants	inhabitant	NOUN
cana-690	16	26	.	.	PUNCT
cana-690	17	1	smart	smart	ADJ
cana-690	17	2	workplaces	workplace	NOUN
cana-690	17	3	,	,	PUNCT
cana-690	17	4	a	a	DET
cana-690	17	5	component	component	NOUN
cana-690	17	6	of	of	ADP
cana-690	17	7	this	this	DET
cana-690	17	8	ecosystem	ecosystem	NOUN
cana-690	17	9	,	,	PUNCT
cana-690	17	10	aim	aim	VERB
cana-690	17	11	to	to	PART
cana-690	17	12	replace	replace	VERB
cana-690	17	13	hazardous	hazardous	ADJ
cana-690	17	14	tasks	task	NOUN
cana-690	17	15	,	,	PUNCT
cana-690	17	16	manual	manual	ADJ
cana-690	17	17	labor	labor	NOUN
cana-690	17	18	,	,	PUNCT
cana-690	17	19	and	and	CCONJ
cana-690	17	20	repetitive	repetitive	ADJ
cana-690	17	21	actions	action	NOUN
cana-690	17	22	with	with	ADP
cana-690	17	23	automated	automate	VERB
cana-690	17	24	solutions	solution	NOUN
cana-690	17	25	,	,	PUNCT
cana-690	17	26	benefiting	benefit	VERB
cana-690	17	27	people	people	NOUN
cana-690	17	28	from	from	ADP
cana-690	17	29	all	all	DET
cana-690	17	30	walks	walk	NOUN
cana-690	17	31	of	of	ADP
cana-690	17	32	life	life	NOUN
cana-690	17	33	.	.	PUNCT
cana-690	18	1	the	the	DET
cana-690	18	2	characteristics	characteristic	NOUN
cana-690	18	3	of	of	ADP
cana-690	18	4	smart	smart	ADJ
cana-690	18	5	environments	environment	NOUN
cana-690	18	6	can	can	AUX
cana-690	18	7	be	be	AUX
cana-690	18	8	broadly	broadly	ADV
cana-690	18	9	categorized	categorize	VERB
cana-690	18	10	as	as	SCONJ
cana-690	18	11	follows	follow	VERB
cana-690	18	12	:	:	PUNCT
cana-690	18	13	1	1	X
cana-690	18	14	.	.	PUNCT
cana-690	18	15	centralized	centralized	ADJ
cana-690	18	16	management	management	NOUN
cana-690	18	17	of	of	ADP
cana-690	18	18	computers	computer	NOUN
cana-690	18	19	,	,	PUNCT
cana-690	18	20	facilitated	facilitate	VERB
cana-690	18	21	,	,	PUNCT
cana-690	18	22	for	for	ADP
cana-690	18	23	instance	instance	NOUN
cana-690	18	24	,	,	PUNCT
cana-690	18	25	by	by	ADP
cana-690	18	26	utilizing	utilize	VERB
cana-690	18	27	power	power	NOUN
cana-690	18	28	line	line	NOUN
cana-690	18	29	transmission	transmission	NOUN
cana-690	18	30	networks	network	NOUN
cana-690	18	31	.	.	PUNCT
cana-690	19	1	2	2	X
cana-690	19	2	.	.	X
cana-690	19	3	integration	integration	NOUN
cana-690	19	4	of	of	ADP
cana-690	19	5	computer	computer	NOUN
cana-690	19	6	networking	networking	NOUN
cana-690	19	7	,	,	PUNCT
cana-690	19	8	middleware	middleware	NOUN
cana-690	19	9	,	,	PUNCT
cana-690	19	10	and	and	CCONJ
cana-690	19	11	wireless	wireless	ADJ
cana-690	19	12	connectivity	connectivity	NOUN
cana-690	19	13	to	to	PART
cana-690	19	14	conceptualize	conceptualize	VERB
cana-690	19	15	interconnected	interconnected	ADJ
cana-690	19	16	digital	digital	ADJ
cana-690	19	17	realms	realm	NOUN
cana-690	19	18	.	.	PUNCT
cana-690	20	1	communications	communication	NOUN
cana-690	20	2	on	on	ADP
cana-690	20	3	applied	apply	VERB
cana-690	20	4	nonlinear	nonlinear	ADJ
cana-690	20	5	analysis	analysis	NOUN
cana-690	20	6	issn	issn	NOUN
cana-690	20	7	:	:	PUNCT
cana-690	20	8	1074	1074	NUM
cana-690	20	9	-	-	PUNCT
cana-690	20	10	133x	133x	NUM
cana-690	20	11	vol	vol	NOUN
cana-690	20	12	31	31	NUM
cana-690	20	13	no	no	NOUN
cana-690	20	14	.	.	PUNCT
cana-690	21	1	2s	2s	NUM
cana-690	21	2	(	(	PUNCT
cana-690	21	3	2024	2024	NUM
cana-690	21	4	)	)	PUNCT
cana-690	21	5	631	631	NUM
cana-690	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-690	21	7	3	3	X
cana-690	21	8	.	.	X
cana-690	21	9	gathering	gathering	NOUN
cana-690	21	10	and	and	CCONJ
cana-690	21	11	dissemination	dissemination	NOUN
cana-690	21	12	of	of	ADP
cana-690	21	13	data	datum	NOUN
cana-690	21	14	through	through	ADP
cana-690	21	15	sensor	sensor	NOUN
cana-690	21	16	networks	network	NOUN
cana-690	21	17	.	.	PUNCT
cana-690	22	1	4	4	X
cana-690	22	2	.	.	X
cana-690	22	3	enhancement	enhancement	NOUN
cana-690	22	4	of	of	ADP
cana-690	22	5	service	service	NOUN
cana-690	22	6	quality	quality	NOUN
cana-690	22	7	through	through	ADP
cana-690	22	8	intelligent	intelligent	ADJ
cana-690	22	9	systems	system	NOUN
cana-690	22	10	.	.	PUNCT
cana-690	23	1	5	5	X
cana-690	23	2	.	.	X
cana-690	23	3	capacity	capacity	NOUN
cana-690	23	4	for	for	ADP
cana-690	23	5	anticipation	anticipation	NOUN
cana-690	23	6	and	and	CCONJ
cana-690	23	7	decision	decision	NOUN
cana-690	23	8	-	-	PUNCT
cana-690	23	9	making	making	NOUN
cana-690	23	10	.	.	PUNCT
cana-690	24	1	deep	deep	ADJ
cana-690	24	2	learning	learning	NOUN
cana-690	24	3	models	model	NOUN
cana-690	24	4	offer	offer	VERB
cana-690	24	5	a	a	DET
cana-690	24	6	solution	solution	NOUN
cana-690	24	7	to	to	ADP
cana-690	24	8	the	the	DET
cana-690	24	9	challenge	challenge	NOUN
cana-690	24	10	of	of	ADP
cana-690	24	11	managing	manage	VERB
cana-690	24	12	extensive	extensive	ADJ
cana-690	24	13	datasets	dataset	NOUN
cana-690	24	14	,	,	PUNCT
cana-690	24	15	as	as	SCONJ
cana-690	24	16	they	they	PRON
cana-690	24	17	possess	possess	VERB
cana-690	24	18	the	the	DET
cana-690	24	19	ability	ability	NOUN
cana-690	24	20	to	to	PART
cana-690	24	21	autonomously	autonomously	ADV
cana-690	24	22	identify	identify	VERB
cana-690	24	23	pertinent	pertinent	ADJ
cana-690	24	24	features	feature	NOUN
cana-690	24	25	,	,	PUNCT
cana-690	24	26	requiring	require	VERB
cana-690	24	27	minimal	minimal	ADJ
cana-690	24	28	intervention	intervention	NOUN
cana-690	24	29	from	from	ADP
cana-690	24	30	programmers	programmer	NOUN
cana-690	24	31	.	.	PUNCT
cana-690	25	1	in	in	ADP
cana-690	25	2	scenarios	scenario	NOUN
cana-690	25	3	involving	involve	VERB
cana-690	25	4	copious	copious	ADJ
cana-690	25	5	inputs	input	NOUN
cana-690	25	6	and	and	CCONJ
cana-690	25	7	outputs	output	NOUN
cana-690	25	8	,	,	PUNCT
cana-690	25	9	deep	deep	ADJ
cana-690	25	10	learning	learning	NOUN
cana-690	25	11	algorithms	algorithm	NOUN
cana-690	25	12	are	be	AUX
cana-690	25	13	instrumental	instrumental	ADJ
cana-690	25	14	.	.	PUNCT
cana-690	26	1	scholars	scholar	NOUN
cana-690	26	2	assert	assert	VERB
cana-690	26	3	that	that	SCONJ
cana-690	26	4	the	the	DET
cana-690	26	5	fundamental	fundamental	ADJ
cana-690	26	6	objective	objective	NOUN
cana-690	26	7	of	of	ADP
cana-690	26	8	deep	deep	ADJ
cana-690	26	9	learning	learning	NOUN
cana-690	26	10	is	be	AUX
cana-690	26	11	to	to	PART
cana-690	26	12	engineer	engineer	VERB
cana-690	26	13	algorithms	algorithm	NOUN
cana-690	26	14	capable	capable	ADJ
cana-690	26	15	of	of	ADP
cana-690	26	16	emulating	emulate	VERB
cana-690	26	17	the	the	DET
cana-690	26	18	human	human	ADJ
cana-690	26	19	brain	brain	NOUN
cana-690	26	20	.	.	PUNCT
cana-690	27	1	deep	deep	ADJ
cana-690	27	2	learning	learning	NOUN
cana-690	27	3	,	,	PUNCT
cana-690	27	4	being	be	AUX
cana-690	27	5	a	a	DET
cana-690	27	6	subset	subset	NOUN
cana-690	27	7	of	of	ADP
cana-690	27	8	artificial	artificial	ADJ
cana-690	27	9	intelligence	intelligence	NOUN
cana-690	27	10	,	,	PUNCT
cana-690	27	11	aims	aim	VERB
cana-690	27	12	to	to	PART
cana-690	27	13	replicate	replicate	VERB
cana-690	27	14	human	human	ADJ
cana-690	27	15	behavior	behavior	NOUN
cana-690	27	16	.	.	PUNCT
cana-690	28	1	the	the	DET
cana-690	28	2	implementation	implementation	NOUN
cana-690	28	3	of	of	ADP
cana-690	28	4	deep	deep	ADJ
cana-690	28	5	learning	learning	NOUN
cana-690	28	6	relies	rely	VERB
cana-690	28	7	on	on	ADP
cana-690	28	8	neural	neural	ADJ
cana-690	28	9	networks	network	NOUN
cana-690	28	10	,	,	PUNCT
cana-690	28	11	which	which	PRON
cana-690	28	12	draw	draw	VERB
cana-690	28	13	inspiration	inspiration	NOUN
cana-690	28	14	from	from	ADP
cana-690	28	15	biological	biological	ADJ
cana-690	28	16	neurons	neuron	NOUN
cana-690	28	17	,	,	PUNCT
cana-690	28	18	essentially	essentially	ADV
cana-690	28	19	mimicking	mimic	VERB
cana-690	28	20	brain	brain	NOUN
cana-690	28	21	cells	cell	NOUN
cana-690	28	22	.	.	PUNCT
cana-690	29	1	a	a	DET
cana-690	29	2	collective	collective	ADJ
cana-690	29	3	array	array	NOUN
cana-690	29	4	of	of	ADP
cana-690	29	5	deep	deep	ADJ
cana-690	29	6	learning	learn	VERB
cana-690	29	7	computational	computational	ADJ
cana-690	29	8	methodologies	methodology	NOUN
cana-690	29	9	,	,	PUNCT
cana-690	29	10	founded	found	VERB
cana-690	29	11	on	on	ADP
cana-690	29	12	artificial	artificial	ADJ
cana-690	29	13	neural	neural	ADJ
cana-690	29	14	networks	network	NOUN
cana-690	29	15	,	,	PUNCT
cana-690	29	16	is	be	AUX
cana-690	29	17	recognized	recognize	VERB
cana-690	29	18	as	as	ADP
cana-690	29	19	deep	deep	ADJ
cana-690	29	20	learning	learning	NOUN
cana-690	29	21	.	.	PUNCT
cana-690	30	1	the	the	DET
cana-690	30	2	progression	progression	NOUN
cana-690	30	3	towards	towards	ADP
cana-690	30	4	the	the	DET
cana-690	30	5	internet	internet	NOUN
cana-690	30	6	of	of	ADP
cana-690	30	7	things	thing	NOUN
cana-690	30	8	(	(	PUNCT
cana-690	30	9	iot	iot	NOUN
cana-690	30	10	)	)	PUNCT
cana-690	30	11	is	be	AUX
cana-690	30	12	propelled	propel	VERB
cana-690	30	13	by	by	ADP
cana-690	30	14	the	the	DET
cana-690	30	15	convergence	convergence	NOUN
cana-690	30	16	of	of	ADP
cana-690	30	17	internet	internet	NOUN
cana-690	30	18	technology	technology	NOUN
cana-690	30	19	and	and	CCONJ
cana-690	30	20	smart	smart	ADJ
cana-690	30	21	devices	device	NOUN
cana-690	30	22	or	or	CCONJ
cana-690	30	23	smartphones	smartphone	NOUN
cana-690	30	24	.	.	PUNCT
cana-690	31	1	smart	smart	ADJ
cana-690	31	2	devices	device	NOUN
cana-690	31	3	,	,	PUNCT
cana-690	31	4	equipped	equip	VERB
cana-690	31	5	with	with	ADP
cana-690	31	6	sensors	sensor	NOUN
cana-690	31	7	,	,	PUNCT
cana-690	31	8	actuators	actuator	NOUN
cana-690	31	9	,	,	PUNCT
cana-690	31	10	and	and	CCONJ
cana-690	31	11	communication	communication	NOUN
cana-690	31	12	capabilities	capability	NOUN
cana-690	31	13	,	,	PUNCT
cana-690	31	14	aim	aim	VERB
cana-690	31	15	to	to	PART
cana-690	31	16	enhance	enhance	VERB
cana-690	31	17	daily	daily	ADJ
cana-690	31	18	life	life	NOUN
cana-690	31	19	by	by	ADP
cana-690	31	20	generating	generate	VERB
cana-690	31	21	and	and	CCONJ
cana-690	31	22	consuming	consume	VERB
cana-690	31	23	information	information	NOUN
cana-690	31	24	,	,	PUNCT
cana-690	31	25	thereby	thereby	ADV
cana-690	31	26	optimizing	optimize	VERB
cana-690	31	27	processes	process	NOUN
cana-690	31	28	and	and	CCONJ
cana-690	31	29	reducing	reduce	VERB
cana-690	31	30	costs	cost	NOUN
cana-690	31	31	across	across	ADP
cana-690	31	32	various	various	ADJ
cana-690	31	33	domains	domain	NOUN
cana-690	31	34	.	.	PUNCT
cana-690	32	1	however	however	ADV
cana-690	32	2	,	,	PUNCT
cana-690	32	3	there	there	PRON
cana-690	32	4	remains	remain	VERB
cana-690	32	5	a	a	DET
cana-690	32	6	pressing	press	VERB
cana-690	32	7	need	need	NOUN
cana-690	32	8	for	for	ADP
cana-690	32	9	novel	novel	ADJ
cana-690	32	10	mechanisms	mechanism	NOUN
cana-690	32	11	to	to	PART
cana-690	32	12	enhance	enhance	VERB
cana-690	32	13	cognitive	cognitive	ADJ
cana-690	32	14	control	control	NOUN
cana-690	32	15	over	over	ADP
cana-690	32	16	the	the	DET
cana-690	32	17	iot	iot	NOUN
cana-690	32	18	.	.	PUNCT
cana-690	33	1	distinguishing	distinguish	VERB
cana-690	33	2	itself	itself	PRON
cana-690	33	3	from	from	ADP
cana-690	33	4	traditional	traditional	ADJ
cana-690	33	5	personal	personal	ADJ
cana-690	33	6	computers	computer	NOUN
cana-690	33	7	,	,	PUNCT
cana-690	33	8	smart	smart	ADJ
cana-690	33	9	machines	machine	NOUN
cana-690	33	10	exhibit	exhibit	VERB
cana-690	33	11	user	user	NOUN
cana-690	33	12	-	-	PUNCT
cana-690	33	13	independent	independent	ADJ
cana-690	33	14	adaptability	adaptability	NOUN
cana-690	33	15	,	,	PUNCT
cana-690	33	16	autonomously	autonomously	ADV
cana-690	33	17	organizing	organize	VERB
cana-690	33	18	and	and	CCONJ
cana-690	33	19	adjusting	adjust	VERB
cana-690	33	20	to	to	ADP
cana-690	33	21	their	their	PRON
cana-690	33	22	surroundings	surrounding	NOUN
cana-690	33	23	.	.	PUNCT
cana-690	34	1	to	to	PART
cana-690	34	2	enable	enable	VERB
cana-690	34	3	informed	informed	ADJ
cana-690	34	4	decisions	decision	NOUN
cana-690	34	5	and	and	CCONJ
cana-690	34	6	adaptive	adaptive	ADJ
cana-690	34	7	responses	response	NOUN
cana-690	34	8	,	,	PUNCT
cana-690	34	9	logical	logical	ADJ
cana-690	34	10	sensors	sensor	NOUN
cana-690	34	11	and	and	CCONJ
cana-690	34	12	actuators	actuator	NOUN
cana-690	34	13	are	be	AUX
cana-690	34	14	imperative	imperative	ADJ
cana-690	34	15	.	.	PUNCT
cana-690	35	1	the	the	DET
cana-690	35	2	internet	internet	NOUN
cana-690	35	3	of	of	ADP
cana-690	35	4	things	thing	NOUN
cana-690	35	5	(	(	PUNCT
cana-690	35	6	iot	iot	NOUN
cana-690	35	7	)	)	PUNCT
cana-690	35	8	represents	represent	VERB
cana-690	35	9	an	an	DET
cana-690	35	10	extensive	extensive	ADJ
cana-690	35	11	and	and	CCONJ
cana-690	35	12	pervasive	pervasive	ADJ
cana-690	35	13	network	network	NOUN
cana-690	35	14	underpinning	underpin	VERB
cana-690	35	15	digital	digital	ADJ
cana-690	35	16	intelligent	intelligent	ADJ
cana-690	35	17	services	service	NOUN
cana-690	35	18	,	,	PUNCT
cana-690	35	19	offering	offer	VERB
cana-690	35	20	myriad	myriad	ADJ
cana-690	35	21	applications	application	NOUN
cana-690	35	22	and	and	CCONJ
cana-690	35	23	prospects	prospect	NOUN
cana-690	35	24	for	for	ADP
cana-690	35	25	future	future	ADJ
cana-690	35	26	intelligent	intelligent	ADJ
cana-690	35	27	infrastructure	infrastructure	NOUN
cana-690	35	28	.	.	PUNCT
cana-690	36	1	machine	machine	NOUN
cana-690	36	2	learning	learning	NOUN
cana-690	36	3	finds	find	VERB
cana-690	36	4	widespread	widespread	ADJ
cana-690	36	5	application	application	NOUN
cana-690	36	6	across	across	ADP
cana-690	36	7	diverse	diverse	ADJ
cana-690	36	8	domains	domain	NOUN
cana-690	36	9	,	,	PUNCT
cana-690	36	10	revolutionizing	revolutionize	VERB
cana-690	36	11	fields	field	NOUN
cana-690	36	12	such	such	ADJ
cana-690	36	13	as	as	ADP
cana-690	36	14	medicine	medicine	NOUN
cana-690	36	15	,	,	PUNCT
cana-690	36	16	education	education	NOUN
cana-690	36	17	,	,	PUNCT
cana-690	36	18	and	and	CCONJ
cana-690	36	19	finance	finance	NOUN
cana-690	36	20	.	.	PUNCT
cana-690	37	1	the	the	DET
cana-690	37	2	evolution	evolution	NOUN
cana-690	37	3	of	of	ADP
cana-690	37	4	machine	machine	NOUN
cana-690	37	5	learning	learning	NOUN
cana-690	37	6	has	have	AUX
cana-690	37	7	transformed	transform	VERB
cana-690	37	8	ordinary	ordinary	ADJ
cana-690	37	9	individuals	individual	NOUN
cana-690	37	10	into	into	ADP
cana-690	37	11	adept	adept	ADJ
cana-690	37	12	users	user	NOUN
cana-690	37	13	,	,	PUNCT
cana-690	37	14	profoundly	profoundly	ADV
cana-690	37	15	influencing	influence	VERB
cana-690	37	16	everyday	everyday	ADJ
cana-690	37	17	life	life	NOUN
cana-690	37	18	.	.	PUNCT
cana-690	38	1	despite	despite	SCONJ
cana-690	38	2	its	its	PRON
cana-690	38	3	omnipresence	omnipresence	NOUN
cana-690	38	4	,	,	PUNCT
cana-690	38	5	contemporary	contemporary	ADJ
cana-690	38	6	iot	iot	PROPN
cana-690	38	7	infrastructure	infrastructure	NOUN
cana-690	38	8	lacks	lack	VERB
cana-690	38	9	intelligence	intelligence	NOUN
cana-690	38	10	,	,	PUNCT
cana-690	38	11	impeding	impede	VERB
cana-690	38	12	its	its	PRON
cana-690	38	13	utilization	utilization	NOUN
cana-690	38	14	for	for	ADP
cana-690	38	15	industrial	industrial	ADJ
cana-690	38	16	service	service	NOUN
cana-690	38	17	applications	application	NOUN
cana-690	38	18	.	.	PUNCT
cana-690	39	1	conversely	conversely	ADV
cana-690	39	2	,	,	PUNCT
cana-690	39	3	a	a	DET
cana-690	39	4	modernized	modernized	ADJ
cana-690	39	5	iot	iot	NOUN
cana-690	39	6	framework	framework	NOUN
cana-690	39	7	incorporating	incorporate	VERB
cana-690	39	8	emotional	emotional	ADJ
cana-690	39	9	intelligence	intelligence	NOUN
cana-690	39	10	can	can	AUX
cana-690	39	11	revolutionize	revolutionize	VERB
cana-690	39	12	industries	industry	NOUN
cana-690	39	13	by	by	ADP
cana-690	39	14	facilitating	facilitate	VERB
cana-690	39	15	tasks	task	NOUN
cana-690	39	16	such	such	ADJ
cana-690	39	17	as	as	ADP
cana-690	39	18	emotion	emotion	NOUN
cana-690	39	19	detection	detection	NOUN
cana-690	39	20	.	.	PUNCT
cana-690	40	1	by	by	ADP
cana-690	40	2	integrating	integrate	VERB
cana-690	40	3	emotional	emotional	ADJ
cana-690	40	4	intelligence	intelligence	NOUN
cana-690	40	5	into	into	ADP
cana-690	40	6	iot	iot	ADJ
cana-690	40	7	frameworks	framework	NOUN
cana-690	40	8	,	,	PUNCT
cana-690	40	9	a	a	DET
cana-690	40	10	paradigm	paradigm	NOUN
cana-690	40	11	shift	shift	NOUN
cana-690	40	12	towards	towards	ADP
cana-690	40	13	emotional	emotional	ADJ
cana-690	40	14	intelligence	intelligence	NOUN
cana-690	40	15	-	-	PUNCT
cana-690	40	16	driven	drive	VERB
cana-690	40	17	iot	iot	NOUN
cana-690	40	18	models	model	NOUN
cana-690	40	19	can	can	AUX
cana-690	40	20	be	be	AUX
cana-690	40	21	achieved	achieve	VERB
cana-690	40	22	.	.	PUNCT
cana-690	41	1	the	the	DET
cana-690	41	2	cognitive	cognitive	ADJ
cana-690	41	3	internet	internet	NOUN
cana-690	41	4	of	of	ADP
cana-690	41	5	things	thing	NOUN
cana-690	41	6	(	(	PUNCT
cana-690	41	7	ciot	ciot	NOUN
cana-690	41	8	)	)	PUNCT
cana-690	41	9	represents	represent	VERB
cana-690	41	10	an	an	DET
cana-690	41	11	iot	iot	ADJ
cana-690	41	12	paradigm	paradigm	NOUN
cana-690	41	13	equipped	equip	VERB
cana-690	41	14	with	with	ADP
cana-690	41	15	cognitive	cognitive	ADJ
cana-690	41	16	capabilities	capability	NOUN
cana-690	41	17	,	,	PUNCT
cana-690	41	18	collaborating	collaborate	VERB
cana-690	41	19	to	to	PART
cana-690	41	20	optimize	optimize	VERB
cana-690	41	21	efficiency	efficiency	NOUN
cana-690	41	22	and	and	CCONJ
cana-690	41	23	cognitive	cognitive	ADJ
cana-690	41	24	prowess	prowess	NOUN
cana-690	41	25	.	.	PUNCT
cana-690	42	1	ciot	ciot	NOUN
cana-690	42	2	leverages	leverage	VERB
cana-690	42	3	existing	exist	VERB
cana-690	42	4	network	network	NOUN
cana-690	42	5	architectures	architecture	NOUN
cana-690	42	6	,	,	PUNCT
cana-690	42	7	analyzes	analyze	VERB
cana-690	42	8	surface	surface	NOUN
cana-690	42	9	data	datum	NOUN
cana-690	42	10	,	,	PUNCT
cana-690	42	11	makes	make	VERB
cana-690	42	12	decisions	decision	NOUN
cana-690	42	13	,	,	PUNCT
cana-690	42	14	and	and	CCONJ
cana-690	42	15	executes	execute	VERB
cana-690	42	16	adaptive	adaptive	ADJ
cana-690	42	17	tasks	task	NOUN
cana-690	42	18	to	to	PART
cana-690	42	19	bolster	bolster	VERB
cana-690	42	20	network	network	NOUN
cana-690	42	21	capabilities	capability	NOUN
cana-690	42	22	.	.	PUNCT
cana-690	43	1	given	give	VERB
cana-690	43	2	the	the	DET
cana-690	43	3	intricate	intricate	ADJ
cana-690	43	4	nature	nature	NOUN
cana-690	43	5	of	of	ADP
cana-690	43	6	the	the	DET
cana-690	43	7	internet	internet	NOUN
cana-690	43	8	of	of	ADP
cana-690	43	9	things	thing	NOUN
cana-690	43	10	,	,	PUNCT
cana-690	43	11	characterized	characterize	VERB
cana-690	43	12	by	by	ADP
cana-690	43	13	interconnected	interconnected	ADJ
cana-690	43	14	networks	network	NOUN
cana-690	43	15	reliant	reliant	ADJ
cana-690	43	16	on	on	ADP
cana-690	43	17	knowledge	knowledge	NOUN
cana-690	43	18	exchange	exchange	NOUN
cana-690	43	19	and	and	CCONJ
cana-690	43	20	information	information	NOUN
cana-690	43	21	processing	processing	NOUN
cana-690	43	22	technologies	technology	NOUN
cana-690	43	23	,	,	PUNCT
cana-690	43	24	integrating	integrate	VERB
cana-690	43	25	emotional	emotional	ADJ
cana-690	43	26	intelligence	intelligence	NOUN
cana-690	43	27	poses	pose	VERB
cana-690	43	28	a	a	DET
cana-690	43	29	considerable	considerable	ADJ
cana-690	43	30	challenge	challenge	NOUN
cana-690	43	31	.	.	PUNCT
cana-690	44	1	in	in	ADP
cana-690	44	2	light	light	NOUN
cana-690	44	3	of	of	ADP
cana-690	44	4	the	the	DET
cana-690	44	5	aforementioned	aforementioned	ADJ
cana-690	44	6	discourse	discourse	NOUN
cana-690	44	7	,	,	PUNCT
cana-690	44	8	emotional	emotional	ADJ
cana-690	44	9	intelligence	intelligence	NOUN
cana-690	44	10	emerges	emerge	VERB
cana-690	44	11	as	as	ADP
cana-690	44	12	a	a	DET
cana-690	44	13	crucial	crucial	ADJ
cana-690	44	14	component	component	NOUN
cana-690	44	15	in	in	ADP
cana-690	44	16	iot	iot	ADJ
cana-690	44	17	-	-	PUNCT
cana-690	44	18	related	relate	VERB
cana-690	44	19	frameworks	framework	NOUN
cana-690	44	20	,	,	PUNCT
cana-690	44	21	enabling	enable	VERB
cana-690	44	22	comprehension	comprehension	NOUN
cana-690	44	23	of	of	ADP
cana-690	44	24	human	human	ADJ
cana-690	44	25	affective	affective	ADJ
cana-690	44	26	states	state	NOUN
cana-690	44	27	and	and	CCONJ
cana-690	44	28	behavior	behavior	NOUN
cana-690	44	29	based	base	VERB
cana-690	44	30	on	on	ADP
cana-690	44	31	communications	communication	NOUN
cana-690	44	32	on	on	ADP
cana-690	44	33	applied	apply	VERB
cana-690	44	34	nonlinear	nonlinear	ADJ
cana-690	44	35	analysis	analysis	NOUN
cana-690	44	36	issn	issn	NOUN
cana-690	44	37	:	:	PUNCT
cana-690	44	38	1074	1074	NUM
cana-690	44	39	-	-	PUNCT
cana-690	44	40	133x	133x	NUM
cana-690	44	41	vol	vol	NOUN
cana-690	44	42	31	31	NUM
cana-690	44	43	no	no	NOUN
cana-690	44	44	.	.	PUNCT
cana-690	45	1	2s	2s	NUM
cana-690	45	2	(	(	PUNCT
cana-690	45	3	2024	2024	NUM
cana-690	45	4	)	)	PUNCT
cana-690	45	5	632	632	NUM
cana-690	45	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-690	45	7	physiological	physiological	ADJ
cana-690	45	8	signals	signal	NOUN
cana-690	45	9	.	.	PUNCT
cana-690	46	1	emotional	emotional	ADJ
cana-690	46	2	intelligence	intelligence	NOUN
cana-690	46	3	endeavors	endeavor	NOUN
cana-690	46	4	encompass	encompass	VERB
cana-690	46	5	arduous	arduous	ADJ
cana-690	46	6	tasks	task	NOUN
cana-690	46	7	such	such	ADJ
cana-690	46	8	as	as	ADP
cana-690	46	9	amassing	amass	VERB
cana-690	46	10	extensive	extensive	ADJ
cana-690	46	11	data	datum	NOUN
cana-690	46	12	to	to	PART
cana-690	46	13	discern	discern	VERB
cana-690	46	14	and	and	CCONJ
cana-690	46	15	monitor	monitor	VERB
cana-690	46	16	various	various	ADJ
cana-690	46	17	emotional	emotional	ADJ
cana-690	46	18	phases	phase	NOUN
cana-690	46	19	over	over	ADP
cana-690	46	20	an	an	DET
cana-690	46	21	extended	extended	ADJ
cana-690	46	22	period	period	NOUN
cana-690	46	23	.	.	PUNCT
cana-690	47	1	2	2	X
cana-690	47	2	.	.	X
cana-690	47	3	literature	literature	PROPN
cana-690	47	4	review	review	PROPN
cana-690	47	5	paul	paul	PROPN
cana-690	47	6	ekman	ekman	PROPN
cana-690	47	7	's	's	PART
cana-690	47	8	seminal	seminal	ADJ
cana-690	47	9	research	research	NOUN
cana-690	47	10	[	[	X
cana-690	47	11	7	7	X
cana-690	47	12	]	]	PUNCT
cana-690	47	13	on	on	ADP
cana-690	47	14	emotion	emotion	NOUN
cana-690	47	15	recognition	recognition	NOUN
cana-690	47	16	identified	identify	VERB
cana-690	47	17	six	six	NUM
cana-690	47	18	primary	primary	ADJ
cana-690	47	19	emotions	emotion	NOUN
cana-690	47	20	:	:	PUNCT
cana-690	47	21	happiness	happiness	NOUN
cana-690	47	22	,	,	PUNCT
cana-690	47	23	sadness	sadness	NOUN
cana-690	47	24	,	,	PUNCT
cana-690	47	25	anger	anger	NOUN
cana-690	47	26	,	,	PUNCT
cana-690	47	27	surprise	surprise	NOUN
cana-690	47	28	,	,	PUNCT
cana-690	47	29	fear	fear	NOUN
cana-690	47	30	,	,	PUNCT
cana-690	47	31	and	and	CCONJ
cana-690	47	32	disgust	disgust	NOUN
cana-690	47	33	,	,	PUNCT
cana-690	47	34	culminating	culminate	VERB
cana-690	47	35	in	in	ADP
cana-690	47	36	the	the	DET
cana-690	47	37	development	development	NOUN
cana-690	47	38	of	of	ADP
cana-690	47	39	facs	fac	NOUN
cana-690	47	40	.	.	PUNCT
cana-690	48	1	later	later	ADV
cana-690	48	2	,	,	PUNCT
cana-690	48	3	the	the	DET
cana-690	48	4	inclusion	inclusion	NOUN
cana-690	48	5	of	of	ADP
cana-690	48	6	'	'	PUNCT
cana-690	48	7	neutral	neutral	ADJ
cana-690	48	8	'	'	PUNCT
cana-690	48	9	expanded	expand	VERB
cana-690	48	10	most	most	ADJ
cana-690	48	11	human	human	ADJ
cana-690	48	12	recognition	recognition	NOUN
cana-690	48	13	datasets	dataset	NOUN
cana-690	48	14	to	to	PART
cana-690	48	15	encompass	encompass	VERB
cana-690	48	16	seven	seven	NUM
cana-690	48	17	fundamental	fundamental	ADJ
cana-690	48	18	emotions	emotion	NOUN
cana-690	48	19	.	.	PUNCT
cana-690	49	1	scholars	scholar	NOUN
cana-690	49	2	examine	examine	VERB
cana-690	49	3	two	two	NUM
cana-690	49	4	main	main	ADJ
cana-690	49	5	categories	category	NOUN
cana-690	49	6	of	of	ADP
cana-690	49	7	landmark	landmark	NOUN
cana-690	49	8	detection	detection	NOUN
cana-690	49	9	methods	method	NOUN
cana-690	49	10	:	:	PUNCT
cana-690	49	11	regression	regression	NOUN
cana-690	49	12	-	-	PUNCT
cana-690	49	13	based	base	VERB
cana-690	49	14	[	[	NOUN
cana-690	49	15	8	8	NUM
cana-690	49	16	]	]	PUNCT
cana-690	49	17	,	,	PUNCT
cana-690	49	18	[	[	X
cana-690	49	19	9	9	NUM
cana-690	49	20	]	]	PUNCT
cana-690	49	21	,	,	PUNCT
cana-690	49	22	[	[	X
cana-690	49	23	10	10	NUM
cana-690	49	24	]	]	PUNCT
cana-690	49	25	,	,	PUNCT
cana-690	49	26	and	and	CCONJ
cana-690	49	27	model	model	NOUN
cana-690	49	28	-	-	PUNCT
cana-690	49	29	based	base	VERB
cana-690	49	30	techniques	technique	NOUN
cana-690	49	31	[	[	X
cana-690	49	32	11	11	NUM
cana-690	49	33	]	]	PUNCT
cana-690	49	34	,	,	PUNCT
cana-690	49	35	[	[	X
cana-690	49	36	12	12	NUM
cana-690	49	37	]	]	PUNCT
cana-690	49	38	,	,	PUNCT
cana-690	49	39	[	[	X
cana-690	49	40	13	13	NUM
cana-690	49	41	]	]	PUNCT
cana-690	49	42	.	.	PUNCT
cana-690	50	1	while	while	SCONJ
cana-690	50	2	regression	regression	NOUN
cana-690	50	3	-	-	PUNCT
cana-690	50	4	based	base	VERB
cana-690	50	5	approaches	approach	NOUN
cana-690	50	6	estimate	estimate	VERB
cana-690	50	7	landmark	landmark	NOUN
cana-690	50	8	positions	position	NOUN
cana-690	50	9	from	from	ADP
cana-690	50	10	facial	facial	ADJ
cana-690	50	11	appearance	appearance	NOUN
cana-690	50	12	,	,	PUNCT
cana-690	50	13	model	model	NOUN
cana-690	50	14	-	-	PUNCT
cana-690	50	15	based	base	VERB
cana-690	50	16	methods	method	NOUN
cana-690	50	17	capture	capture	VERB
cana-690	50	18	both	both	CCONJ
cana-690	50	19	the	the	DET
cana-690	50	20	shape	shape	NOUN
cana-690	50	21	and	and	CCONJ
cana-690	50	22	appearance	appearance	NOUN
cana-690	50	23	of	of	ADP
cana-690	50	24	landmarks	landmark	NOUN
cana-690	50	25	.	.	PUNCT
cana-690	51	1	nonetheless	nonetheless	ADV
cana-690	51	2	,	,	PUNCT
cana-690	51	3	landmark	landmark	NOUN
cana-690	51	4	estimation	estimation	NOUN
cana-690	51	5	may	may	AUX
cana-690	51	6	falter	falter	VERB
cana-690	51	7	under	under	ADP
cana-690	51	8	specific	specific	ADJ
cana-690	51	9	conditions	condition	NOUN
cana-690	51	10	such	such	ADJ
cana-690	51	11	as	as	ADP
cana-690	51	12	extreme	extreme	ADJ
cana-690	51	13	out	out	ADP
cana-690	51	14	-	-	PUNCT
cana-690	51	15	of	of	ADP
cana-690	51	16	-	-	PUNCT
cana-690	51	17	plane	plane	NOUN
cana-690	51	18	rotations	rotation	NOUN
cana-690	51	19	,	,	PUNCT
cana-690	51	20	low	low	ADJ
cana-690	51	21	scale	scale	NOUN
cana-690	51	22	,	,	PUNCT
cana-690	51	23	or	or	CCONJ
cana-690	51	24	notable	notable	ADJ
cana-690	51	25	variations	variation	NOUN
cana-690	51	26	in	in	ADP
cana-690	51	27	face	face	NOUN
cana-690	51	28	bounding	bounding	NOUN
cana-690	51	29	boxes	box	NOUN
cana-690	51	30	.	.	PUNCT
cana-690	52	1	historically	historically	ADV
cana-690	52	2	,	,	PUNCT
cana-690	52	3	emotion	emotion	NOUN
cana-690	52	4	recognition	recognition	NOUN
cana-690	52	5	employed	employ	VERB
cana-690	52	6	a	a	DET
cana-690	52	7	two	two	NUM
cana-690	52	8	-	-	PUNCT
cana-690	52	9	stage	stage	NOUN
cana-690	52	10	machine	machine	NOUN
cana-690	52	11	learning	learning	NOUN
cana-690	52	12	methodology	methodology	NOUN
cana-690	52	13	involving	involve	VERB
cana-690	52	14	feature	feature	NOUN
cana-690	52	15	extraction	extraction	NOUN
cana-690	52	16	and	and	CCONJ
cana-690	52	17	classification	classification	NOUN
cana-690	52	18	,	,	PUNCT
cana-690	52	19	utilizing	utilize	VERB
cana-690	52	20	techniques	technique	NOUN
cana-690	52	21	like	like	ADP
cana-690	52	22	svm	svm	ADJ
cana-690	52	23	and	and	CCONJ
cana-690	52	24	neural	neural	ADJ
cana-690	52	25	networks	network	NOUN
cana-690	52	26	.	.	PUNCT
cana-690	53	1	handcrafted	handcraft	VERB
cana-690	53	2	features	feature	NOUN
cana-690	53	3	such	such	ADJ
cana-690	53	4	as	as	ADP
cana-690	53	5	hog	hog	NOUN
cana-690	53	6	[	[	X
cana-690	53	7	14][15	14][15	X
cana-690	53	8	]	]	X
cana-690	53	9	,	,	PUNCT
cana-690	53	10	lbp[16	lbp[16	PROPN
cana-690	53	11	]	]	PUNCT
cana-690	53	12	,	,	PUNCT
cana-690	53	13	gabor	gabor	PROPN
cana-690	53	14	wavelets[17	wavelets[17	PROPN
cana-690	53	15	]	]	PUNCT
cana-690	53	16	,	,	PUNCT
cana-690	53	17	and	and	CCONJ
cana-690	53	18	haar	haar	PROPN
cana-690	53	19	features[18	features[18	PROPN
cana-690	53	20	]	]	PUNCT
cana-690	53	21	were	be	AUX
cana-690	53	22	prevalent	prevalent	ADJ
cana-690	53	23	for	for	ADP
cana-690	53	24	facial	facial	ADJ
cana-690	53	25	expression	expression	NOUN
cana-690	53	26	recognition	recognition	NOUN
cana-690	53	27	.	.	PUNCT
cana-690	54	1	however	however	ADV
cana-690	54	2	,	,	PUNCT
cana-690	54	3	these	these	DET
cana-690	54	4	methods	method	NOUN
cana-690	54	5	demonstrated	demonstrate	VERB
cana-690	54	6	limitations	limitation	NOUN
cana-690	54	7	when	when	SCONJ
cana-690	54	8	confronted	confront	VERB
cana-690	54	9	with	with	ADP
cana-690	54	10	more	more	ADJ
cana-690	54	11	complex	complex	ADJ
cana-690	54	12	datasets	dataset	NOUN
cana-690	54	13	featuring	feature	VERB
cana-690	54	14	intra	intra	ADJ
cana-690	54	15	-	-	ADJ
cana-690	54	16	class	class	ADJ
cana-690	54	17	variability	variability	NOUN
cana-690	54	18	and	and	CCONJ
cana-690	54	19	challenging	challenge	VERB
cana-690	54	20	image	image	NOUN
cana-690	54	21	conditions	condition	NOUN
cana-690	54	22	like	like	ADP
cana-690	54	23	partial	partial	ADJ
cana-690	54	24	faces	face	NOUN
cana-690	54	25	or	or	CCONJ
cana-690	54	26	occlusions	occlusion	NOUN
cana-690	54	27	.	.	PUNCT
cana-690	55	1	some	some	DET
cana-690	55	2	researchers	researcher	NOUN
cana-690	55	3	explore	explore	VERB
cana-690	55	4	the	the	DET
cana-690	55	5	distinction	distinction	NOUN
cana-690	55	6	between	between	ADP
cana-690	55	7	emotion	emotion	NOUN
cana-690	55	8	classification	classification	NOUN
cana-690	55	9	and	and	CCONJ
cana-690	55	10	expression	expression	NOUN
cana-690	55	11	regression	regression	NOUN
cana-690	55	12	tasks	task	NOUN
cana-690	55	13	.	.	PUNCT
cana-690	56	1	emotion	emotion	NOUN
cana-690	56	2	classification	classification	NOUN
cana-690	56	3	entails	entail	VERB
cana-690	56	4	categorizing	categorize	VERB
cana-690	56	5	images	image	NOUN
cana-690	56	6	or	or	CCONJ
cana-690	56	7	videos	video	NOUN
cana-690	56	8	into	into	ADP
cana-690	56	9	discrete	discrete	ADJ
cana-690	56	10	sets	set	NOUN
cana-690	56	11	of	of	ADP
cana-690	56	12	facial	facial	ADJ
cana-690	56	13	emotion	emotion	NOUN
cana-690	56	14	classes	class	NOUN
cana-690	56	15	or	or	CCONJ
cana-690	56	16	action	action	NOUN
cana-690	56	17	units	unit	NOUN
cana-690	56	18	[	[	X
cana-690	56	19	19][20	19][20	X
cana-690	56	20	]	]	PUNCT
cana-690	56	21	,	,	PUNCT
cana-690	56	22	often	often	ADV
cana-690	56	23	leveraging	leverage	VERB
cana-690	56	24	facial	facial	ADJ
cana-690	56	25	landmarks	landmark	NOUN
cana-690	56	26	.	.	PUNCT
cana-690	57	1	recently	recently	ADV
cana-690	57	2	,	,	PUNCT
cana-690	57	3	deep	deep	ADJ
cana-690	57	4	networks	network	NOUN
cana-690	57	5	[	[	X
cana-690	57	6	21][22][23	21][22][23	X
cana-690	57	7	]	]	PUNCT
cana-690	57	8	have	have	AUX
cana-690	57	9	supplanted	supplant	VERB
cana-690	57	10	landmark	landmark	NOUN
cana-690	57	11	position	position	NOUN
cana-690	57	12	estimation	estimation	NOUN
cana-690	57	13	.	.	PUNCT
cana-690	58	1	in	in	ADP
cana-690	58	2	multimedia	multimedia	NOUN
cana-690	58	3	concept	concept	NOUN
cana-690	58	4	modeling	model	VERB
cana-690	58	5	[	[	X
cana-690	58	6	24	24	NUM
cana-690	58	7	]	]	PUNCT
cana-690	58	8	,	,	PUNCT
cana-690	58	9	[	[	X
cana-690	58	10	25	25	NUM
cana-690	58	11	]	]	PUNCT
cana-690	58	12	,	,	PUNCT
cana-690	58	13	and	and	CCONJ
cana-690	58	14	computer	computer	NOUN
cana-690	58	15	vision	vision	NOUN
cana-690	58	16	,	,	PUNCT
cana-690	58	17	emphasis	emphasis	NOUN
cana-690	58	18	is	be	AUX
cana-690	58	19	placed	place	VERB
cana-690	58	20	on	on	ADP
cana-690	58	21	modeling	model	VERB
cana-690	58	22	objects	object	NOUN
cana-690	58	23	[	[	X
cana-690	58	24	25	25	NUM
cana-690	58	25	]	]	PUNCT
cana-690	58	26	,	,	PUNCT
cana-690	58	27	scenes	scene	NOUN
cana-690	58	28	[	[	X
cana-690	58	29	26	26	NUM
cana-690	58	30	]	]	PUNCT
cana-690	58	31	,	,	PUNCT
cana-690	58	32	and	and	CCONJ
cana-690	58	33	activities[27	activities[27	NOUN
cana-690	58	34	]	]	PUNCT
cana-690	58	35	.	.	PUNCT
cana-690	59	1	furthermore	furthermore	ADV
cana-690	59	2	,	,	PUNCT
cana-690	59	3	efforts	effort	NOUN
cana-690	59	4	have	have	AUX
cana-690	59	5	been	be	AUX
cana-690	59	6	made	make	VERB
cana-690	59	7	to	to	PART
cana-690	59	8	model	model	VERB
cana-690	59	9	unconventional	unconventional	ADJ
cana-690	59	10	concepts	concept	NOUN
cana-690	59	11	such	such	ADJ
cana-690	59	12	as	as	ADP
cana-690	59	13	image	image	NOUN
cana-690	59	14	aesthetics	aesthetic	NOUN
cana-690	59	15	and	and	CCONJ
cana-690	59	16	emotions	emotion	NOUN
cana-690	59	17	.	.	PUNCT
cana-690	60	1	these	these	DET
cana-690	60	2	models	model	NOUN
cana-690	60	3	are	be	AUX
cana-690	60	4	trained	train	VERB
cana-690	60	5	using	use	VERB
cana-690	60	6	svm	svm	PROPN
cana-690	60	7	and	and	CCONJ
cana-690	60	8	other	other	ADJ
cana-690	60	9	methodologies	methodology	NOUN
cana-690	60	10	.	.	PUNCT
cana-690	61	1	extensive	extensive	ADJ
cana-690	61	2	research	research	NOUN
cana-690	61	3	has	have	AUX
cana-690	61	4	delved	delve	VERB
cana-690	61	5	into	into	ADP
cana-690	61	6	the	the	DET
cana-690	61	7	transfer	transfer	NOUN
cana-690	61	8	of	of	ADP
cana-690	61	9	learned	learn	VERB
cana-690	61	10	deep	deep	ADJ
cana-690	61	11	representations	representation	NOUN
cana-690	61	12	across	across	ADP
cana-690	61	13	tasks	task	NOUN
cana-690	61	14	in	in	ADP
cana-690	61	15	an	an	DET
cana-690	61	16	unsupervised	unsupervised	ADJ
cana-690	61	17	context	context	NOUN
cana-690	61	18	[	[	X
cana-690	61	19	28	28	NUM
cana-690	61	20	]	]	PUNCT
cana-690	61	21	,	,	PUNCT
cana-690	61	22	[	[	X
cana-690	61	23	29	29	NUM
cana-690	61	24	]	]	PUNCT
cana-690	61	25	.	.	PUNCT
cana-690	62	1	however	however	ADV
cana-690	62	2	,	,	PUNCT
cana-690	62	3	these	these	DET
cana-690	62	4	models	model	NOUN
cana-690	62	5	have	have	AUX
cana-690	62	6	primarily	primarily	ADV
cana-690	62	7	operated	operate	VERB
cana-690	62	8	on	on	ADP
cana-690	62	9	small	small	ADJ
cana-690	62	10	datasets	dataset	NOUN
cana-690	62	11	and	and	CCONJ
cana-690	62	12	have	have	AUX
cana-690	62	13	achieved	achieve	VERB
cana-690	62	14	only	only	ADV
cana-690	62	15	moderate	moderate	ADJ
cana-690	62	16	success	success	NOUN
cana-690	62	17	.	.	PUNCT
cana-690	63	1	to	to	PART
cana-690	63	2	counteract	counteract	VERB
cana-690	63	3	the	the	DET
cana-690	63	4	challenge	challenge	NOUN
cana-690	63	5	of	of	ADP
cana-690	63	6	limited	limited	ADJ
cana-690	63	7	training	training	NOUN
cana-690	63	8	data	datum	NOUN
cana-690	63	9	,	,	PUNCT
cana-690	63	10	unsupervised	unsupervised	ADJ
cana-690	63	11	pre	pre	ADJ
cana-690	63	12	-	-	NOUN
cana-690	63	13	training	training	NOUN
cana-690	63	14	followed	follow	VERB
cana-690	63	15	by	by	ADP
cana-690	63	16	supervised	supervised	ADJ
cana-690	63	17	fine	fine	ADJ
cana-690	63	18	-	-	PUNCT
cana-690	63	19	tuning	tuning	NOUN
cana-690	63	20	and	and	CCONJ
cana-690	63	21	supervised	supervise	VERB
cana-690	63	22	pre	pre	ADJ
cana-690	63	23	-	-	NOUN
cana-690	63	24	training	training	NOUN
cana-690	63	25	using	use	VERB
cana-690	63	26	a	a	DET
cana-690	63	27	concept	concept	NOUN
cana-690	63	28	-	-	PUNCT
cana-690	63	29	bank	bank	NOUN
cana-690	63	30	approach	approach	NOUN
cana-690	63	31	[	[	X
cana-690	63	32	30	30	NUM
cana-690	63	33	]	]	PUNCT
cana-690	63	34	have	have	AUX
cana-690	63	35	been	be	AUX
cana-690	63	36	proposed	propose	VERB
cana-690	63	37	and	and	CCONJ
cana-690	63	38	proven	prove	VERB
cana-690	63	39	effective	effective	ADJ
cana-690	63	40	in	in	ADP
cana-690	63	41	computer	computer	NOUN
cana-690	63	42	vision	vision	NOUN
cana-690	63	43	and	and	CCONJ
cana-690	63	44	multimedia	multimedia	NOUN
cana-690	63	45	contexts	context	NOUN
cana-690	63	46	.	.	PUNCT
cana-690	64	1	recently	recently	ADV
cana-690	64	2	,	,	PUNCT
cana-690	64	3	supervised	supervise	VERB
cana-690	64	4	pre	pre	ADJ
cana-690	64	5	-	-	ADJ
cana-690	64	6	training	training	NOUN
cana-690	64	7	followed	follow	VERB
cana-690	64	8	by	by	ADP
cana-690	64	9	domain	domain	NOUN
cana-690	64	10	-	-	PUNCT
cana-690	64	11	adaptive	adaptive	ADJ
cana-690	64	12	fine	fine	ADV
cana-690	64	13	-	-	PUNCT
cana-690	64	14	tuning	tuning	NOUN
cana-690	64	15	has	have	AUX
cana-690	64	16	emerged	emerge	VERB
cana-690	64	17	as	as	ADP
cana-690	64	18	an	an	DET
cana-690	64	19	efficient	efficient	ADJ
cana-690	64	20	paradigm	paradigm	NOUN
cana-690	64	21	for	for	ADP
cana-690	64	22	scarce	scarce	ADJ
cana-690	64	23	data	datum	NOUN
cana-690	64	24	.	.	PUNCT
cana-690	65	1	while	while	SCONJ
cana-690	65	2	prior	prior	ADJ
cana-690	65	3	studies	study	NOUN
cana-690	65	4	have	have	VERB
cana-690	65	5	advanced	advanced	ADJ
cana-690	65	6	emotion	emotion	NOUN
cana-690	65	7	recognition	recognition	NOUN
cana-690	65	8	,	,	PUNCT
cana-690	65	9	they	they	PRON
cana-690	65	10	lack	lack	VERB
cana-690	65	11	a	a	DET
cana-690	65	12	method	method	NOUN
cana-690	65	13	to	to	PART
cana-690	65	14	prioritize	prioritize	VERB
cana-690	65	15	crucial	crucial	ADJ
cana-690	65	16	facial	facial	ADJ
cana-690	65	17	regions	region	NOUN
cana-690	65	18	for	for	ADP
cana-690	65	19	detection	detection	NOUN
cana-690	65	20	.	.	PUNCT
cana-690	66	1	in	in	ADP
cana-690	66	2	this	this	DET
cana-690	66	3	study	study	NOUN
cana-690	66	4	,	,	PUNCT
cana-690	66	5	we	we	PRON
cana-690	66	6	introduce	introduce	VERB
cana-690	66	7	an	an	DET
cana-690	66	8	approach	approach	NOUN
cana-690	66	9	utilizing	utilize	VERB
cana-690	66	10	an	an	DET
cana-690	66	11	attentional	attentional	ADJ
cana-690	66	12	convolutional	convolutional	ADJ
cana-690	66	13	network	network	NOUN
cana-690	66	14	to	to	PART
cana-690	66	15	address	address	VERB
cana-690	66	16	this	this	DET
cana-690	66	17	gap	gap	NOUN
cana-690	66	18	.	.	PUNCT
cana-690	67	1	3	3	X
cana-690	67	2	.	.	X
cana-690	67	3	methodology	methodology	NOUN
cana-690	67	4	our	our	PRON
cana-690	67	5	project	project	NOUN
cana-690	67	6	aims	aim	VERB
cana-690	67	7	to	to	PART
cana-690	67	8	utilize	utilize	VERB
cana-690	67	9	convolutional	convolutional	ADJ
cana-690	67	10	neural	neural	ADJ
cana-690	67	11	networks	network	NOUN
cana-690	67	12	(	(	PUNCT
cana-690	67	13	cnns	cnns	PROPN
cana-690	67	14	)	)	PUNCT
cana-690	67	15	for	for	ADP
cana-690	67	16	real	real	ADJ
cana-690	67	17	-	-	PUNCT
cana-690	67	18	time	time	NOUN
cana-690	67	19	analysis	analysis	NOUN
cana-690	67	20	of	of	ADP
cana-690	67	21	facial	facial	ADJ
cana-690	67	22	expressions	expression	NOUN
cana-690	67	23	.	.	PUNCT
cana-690	68	1	through	through	ADP
cana-690	68	2	extensive	extensive	ADJ
cana-690	68	3	experimentation	experimentation	NOUN
cana-690	68	4	,	,	PUNCT
cana-690	68	5	we	we	PRON
cana-690	68	6	have	have	AUX
cana-690	68	7	adopted	adopt	VERB
cana-690	68	8	this	this	DET
cana-690	68	9	specific	specific	ADJ
cana-690	68	10	deep	deep	ADJ
cana-690	68	11	learning	learning	NOUN
cana-690	68	12	communications	communication	NOUN
cana-690	68	13	on	on	ADP
cana-690	68	14	applied	apply	VERB
cana-690	68	15	nonlinear	nonlinear	ADJ
cana-690	68	16	analysis	analysis	NOUN
cana-690	68	17	issn	issn	NOUN
cana-690	68	18	:	:	PUNCT
cana-690	68	19	1074	1074	NUM
cana-690	68	20	-	-	PUNCT
cana-690	68	21	133x	133x	NUM
cana-690	68	22	vol	vol	NOUN
cana-690	68	23	31	31	NUM
cana-690	68	24	no	no	NOUN
cana-690	68	25	.	.	PUNCT
cana-690	69	1	2s	2s	NUM
cana-690	69	2	(	(	PUNCT
cana-690	69	3	2024	2024	NUM
cana-690	69	4	)	)	PUNCT
cana-690	69	5	633	633	NUM
cana-690	69	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-690	69	7	approach	approach	NOUN
cana-690	69	8	as	as	SCONJ
cana-690	69	9	it	it	PRON
cana-690	69	10	effectively	effectively	ADV
cana-690	69	11	addresses	address	VERB
cana-690	69	12	various	various	ADJ
cana-690	69	13	challenges	challenge	NOUN
cana-690	69	14	in	in	ADP
cana-690	69	15	facial	facial	ADJ
cana-690	69	16	expression	expression	NOUN
cana-690	69	17	detection	detection	NOUN
cana-690	69	18	.	.	PUNCT
cana-690	70	1	cnns	cnns	PROPN
cana-690	70	2	offer	offer	VERB
cana-690	70	3	a	a	DET
cana-690	70	4	significant	significant	ADJ
cana-690	70	5	advantage	advantage	NOUN
cana-690	70	6	in	in	ADP
cana-690	70	7	enabling	enable	VERB
cana-690	70	8	"	"	PUNCT
cana-690	70	9	end	end	VERB
cana-690	70	10	-	-	PUNCT
cana-690	70	11	to	to	ADP
cana-690	70	12	-	-	PUNCT
cana-690	70	13	end	end	VERB
cana-690	70	14	"	"	PUNCT
cana-690	70	15	learning	learn	VERB
cana-690	70	16	directly	directly	ADV
cana-690	70	17	from	from	ADP
cana-690	70	18	raw	raw	ADJ
cana-690	70	19	input	input	NOUN
cana-690	70	20	data	datum	NOUN
cana-690	70	21	,	,	PUNCT
cana-690	70	22	thereby	thereby	ADV
cana-690	70	23	minimizing	minimize	VERB
cana-690	70	24	the	the	DET
cana-690	70	25	reliance	reliance	NOUN
cana-690	70	26	on	on	ADP
cana-690	70	27	physics	physics	NOUN
cana-690	70	28	-	-	PUNCT
cana-690	70	29	based	base	VERB
cana-690	70	30	simulations	simulation	NOUN
cana-690	70	31	or	or	CCONJ
cana-690	70	32	other	other	ADJ
cana-690	70	33	preprocessing	preprocessing	NOUN
cana-690	70	34	methods	method	NOUN
cana-690	70	35	[	[	X
cana-690	70	36	31	31	NUM
cana-690	70	37	]	]	PUNCT
cana-690	70	38	.	.	PUNCT
cana-690	71	1	automated	automate	VERB
cana-690	71	2	analysis	analysis	NOUN
cana-690	71	3	of	of	ADP
cana-690	71	4	facial	facial	ADJ
cana-690	71	5	emotional	emotional	ADJ
cana-690	71	6	states	state	NOUN
cana-690	71	7	and	and	CCONJ
cana-690	71	8	identification	identification	NOUN
cana-690	71	9	holds	hold	VERB
cana-690	71	10	considerable	considerable	ADJ
cana-690	71	11	value	value	NOUN
cana-690	71	12	,	,	PUNCT
cana-690	71	13	particularly	particularly	ADV
cana-690	71	14	in	in	ADP
cana-690	71	15	the	the	DET
cana-690	71	16	context	context	NOUN
cana-690	71	17	of	of	ADP
cana-690	71	18	identifying	identify	VERB
cana-690	71	19	,	,	PUNCT
cana-690	71	20	assessing	assess	VERB
cana-690	71	21	,	,	PUNCT
cana-690	71	22	and	and	CCONJ
cana-690	71	23	supporting	support	VERB
cana-690	71	24	vulnerable	vulnerable	ADJ
cana-690	71	25	individuals	individual	NOUN
cana-690	71	26	such	such	ADJ
cana-690	71	27	as	as	ADP
cana-690	71	28	those	those	PRON
cana-690	71	29	with	with	ADP
cana-690	71	30	psychiatric	psychiatric	ADJ
cana-690	71	31	disorders	disorder	NOUN
cana-690	71	32	,	,	PUNCT
cana-690	71	33	individuals	individual	NOUN
cana-690	71	34	under	under	ADP
cana-690	71	35	significant	significant	ADJ
cana-690	71	36	mental	mental	ADJ
cana-690	71	37	stress	stress	NOUN
cana-690	71	38	,	,	PUNCT
cana-690	71	39	and	and	CCONJ
cana-690	71	40	children	child	NOUN
cana-690	71	41	with	with	ADP
cana-690	71	42	limited	limited	ADJ
cana-690	71	43	emotional	emotional	ADJ
cana-690	71	44	regulation	regulation	NOUN
cana-690	71	45	.	.	PUNCT
cana-690	72	1	during	during	ADP
cana-690	72	2	our	our	PRON
cana-690	72	3	project	project	NOUN
cana-690	72	4	,	,	PUNCT
cana-690	72	5	we	we	PRON
cana-690	72	6	encountered	encounter	VERB
cana-690	72	7	difficulty	difficulty	NOUN
cana-690	72	8	in	in	ADP
cana-690	72	9	distinguishing	distinguish	VERB
cana-690	72	10	between	between	ADP
cana-690	72	11	the	the	DET
cana-690	72	12	emotions	emotion	NOUN
cana-690	72	13	of	of	ADP
cana-690	72	14	fear	fear	NOUN
cana-690	72	15	,	,	PUNCT
cana-690	72	16	surprise	surprise	NOUN
cana-690	72	17	,	,	PUNCT
cana-690	72	18	and	and	CCONJ
cana-690	72	19	disgust	disgust	NOUN
cana-690	72	20	while	while	SCONJ
cana-690	72	21	working	work	VERB
cana-690	72	22	with	with	ADP
cana-690	72	23	the	the	DET
cana-690	72	24	fer2013	fer2013	ADJ
cana-690	72	25	dataset	dataset	NOUN
cana-690	72	26	.	.	PUNCT
cana-690	73	1	consequently	consequently	ADV
cana-690	73	2	,	,	PUNCT
cana-690	73	3	we	we	PRON
cana-690	73	4	opted	opt	VERB
cana-690	73	5	to	to	PART
cana-690	73	6	classify	classify	VERB
cana-690	73	7	them	they	PRON
cana-690	73	8	collectively	collectively	ADV
cana-690	73	9	as	as	ADP
cana-690	73	10	'	'	PUNCT
cana-690	73	11	surprise	surprise	NOUN
cana-690	73	12	'	'	PUNCT
cana-690	73	13	among	among	ADP
cana-690	73	14	the	the	DET
cana-690	73	15	five	five	NUM
cana-690	73	16	emotions	emotion	NOUN
cana-690	73	17	considered	consider	VERB
cana-690	73	18	,	,	PUNCT
cana-690	73	19	which	which	PRON
cana-690	73	20	also	also	ADV
cana-690	73	21	include	include	VERB
cana-690	73	22	happiness	happiness	NOUN
cana-690	73	23	,	,	PUNCT
cana-690	73	24	sadness	sadness	NOUN
cana-690	73	25	,	,	PUNCT
cana-690	73	26	anger	anger	NOUN
cana-690	73	27	,	,	PUNCT
cana-690	73	28	and	and	CCONJ
cana-690	73	29	neutrality	neutrality	NOUN
cana-690	73	30	[	[	X
cana-690	73	31	32	32	NUM
cana-690	73	32	]	]	PUNCT
cana-690	73	33	.	.	PUNCT
cana-690	74	1	the	the	DET
cana-690	74	2	fer2013	fer2013	ADJ
cana-690	74	3	dataset	dataset	NOUN
cana-690	74	4	,	,	PUNCT
cana-690	74	5	sourced	source	VERB
cana-690	74	6	from	from	ADP
cana-690	74	7	kaggle	kaggle	PROPN
cana-690	74	8	,	,	PUNCT
cana-690	74	9	comprises	comprise	VERB
cana-690	74	10	spontaneous	spontaneous	ADJ
cana-690	74	11	facial	facial	ADJ
cana-690	74	12	expressions	expression	NOUN
cana-690	74	13	captured	capture	VERB
cana-690	74	14	under	under	ADP
cana-690	74	15	diverse	diverse	ADJ
cana-690	74	16	and	and	CCONJ
cana-690	74	17	challenging	challenging	ADJ
cana-690	74	18	conditions	condition	NOUN
cana-690	74	19	,	,	PUNCT
cana-690	74	20	including	include	VERB
cana-690	74	21	variations	variation	NOUN
cana-690	74	22	in	in	ADP
cana-690	74	23	lighting	lighting	NOUN
cana-690	74	24	,	,	PUNCT
cana-690	74	25	head	head	NOUN
cana-690	74	26	movements	movement	NOUN
cana-690	74	27	,	,	PUNCT
cana-690	74	28	and	and	CCONJ
cana-690	74	29	inherent	inherent	ADJ
cana-690	74	30	differences	difference	NOUN
cana-690	74	31	in	in	ADP
cana-690	74	32	facial	facial	ADJ
cana-690	74	33	attributes	attribute	NOUN
cana-690	74	34	across	across	ADP
cana-690	74	35	demographics	demographic	NOUN
cana-690	74	36	such	such	ADJ
cana-690	74	37	as	as	ADP
cana-690	74	38	race	race	NOUN
cana-690	74	39	,	,	PUNCT
cana-690	74	40	age	age	NOUN
cana-690	74	41	,	,	PUNCT
cana-690	74	42	gender	gender	NOUN
cana-690	74	43	,	,	PUNCT
cana-690	74	44	facial	facial	ADJ
cana-690	74	45	hair	hair	NOUN
cana-690	74	46	,	,	PUNCT
cana-690	74	47	and	and	CCONJ
cana-690	74	48	glasses	glass	NOUN
cana-690	74	49	.	.	PUNCT
cana-690	75	1	facial	facial	ADJ
cana-690	75	2	expression	expression	NOUN
cana-690	75	3	recognition	recognition	NOUN
cana-690	75	4	(	(	PUNCT
cana-690	75	5	fer	fer	PROPN
cana-690	75	6	)	)	PUNCT
cana-690	75	7	techniques	technique	NOUN
cana-690	75	8	based	base	VERB
cana-690	75	9	on	on	ADP
cana-690	75	10	deep	deep	ADJ
cana-690	75	11	learning	learning	NOUN
cana-690	75	12	frameworks	framework	NOUN
cana-690	75	13	mitigate	mitigate	VERB
cana-690	75	14	the	the	DET
cana-690	75	15	reliance	reliance	NOUN
cana-690	75	16	on	on	ADP
cana-690	75	17	face	face	NOUN
cana-690	75	18	-	-	PUNCT
cana-690	75	19	physics	physics	NOUN
cana-690	75	20	-	-	PUNCT
cana-690	75	21	based	base	VERB
cana-690	75	22	models	model	NOUN
cana-690	75	23	and	and	CCONJ
cana-690	75	24	preprocessing	preprocessing	NOUN
cana-690	75	25	methods	method	NOUN
cana-690	75	26	by	by	ADP
cana-690	75	27	enabling	enable	VERB
cana-690	75	28	direct	direct	ADJ
cana-690	75	29	learning	learning	NOUN
cana-690	75	30	from	from	ADP
cana-690	75	31	input	input	NOUN
cana-690	75	32	images	image	NOUN
cana-690	75	33	within	within	ADP
cana-690	75	34	the	the	DET
cana-690	75	35	processing	processing	NOUN
cana-690	75	36	pipeline	pipeline	NOUN
cana-690	75	37	[	[	X
cana-690	75	38	33	33	NUM
cana-690	75	39	]	]	PUNCT
cana-690	75	40	.	.	PUNCT
cana-690	76	1	the	the	DET
cana-690	76	2	key	key	ADJ
cana-690	76	3	phases	phase	NOUN
cana-690	76	4	of	of	ADP
cana-690	76	5	our	our	PRON
cana-690	76	6	methodology	methodology	NOUN
cana-690	76	7	are	be	AUX
cana-690	76	8	as	as	SCONJ
cana-690	76	9	follows	follow	VERB
cana-690	76	10	:	:	PUNCT
cana-690	76	11	figure1	figure1	X
cana-690	76	12	.	.	PUNCT
cana-690	77	1	step	step	VERB
cana-690	77	2	for	for	ADP
cana-690	77	3	emotion	emotion	NOUN
cana-690	77	4	detection	detection	NOUN
cana-690	77	5	humans	human	NOUN
cana-690	77	6	have	have	VERB
cana-690	77	7	seven	seven	NUM
cana-690	77	8	basic	basic	ADJ
cana-690	77	9	emotions	emotion	NOUN
cana-690	77	10	(	(	PUNCT
cana-690	77	11	be	be	AUX
cana-690	77	12	):	):	PUNCT
cana-690	77	13	happiness	happiness	NOUN
cana-690	77	14	,	,	PUNCT
cana-690	77	15	surprise	surprise	NOUN
cana-690	77	16	,	,	PUNCT
cana-690	77	17	indignation	indignation	NOUN
cana-690	77	18	,	,	PUNCT
cana-690	77	19	sad	sad	ADJ
cana-690	77	20	-	-	ADJ
cana-690	77	21	ness	ness	ADJ
cana-690	77	22	,	,	PUNCT
cana-690	77	23	fear	fear	NOUN
cana-690	77	24	,	,	PUNCT
cana-690	77	25	disgust	disgust	NOUN
cana-690	77	26	,	,	PUNCT
cana-690	77	27	and	and	CCONJ
cana-690	77	28	neutral	neutral	ADJ
cana-690	77	29	.	.	PUNCT
cana-690	78	1	compound	compound	NOUN
cana-690	78	2	emotions	emotion	NOUN
cana-690	78	3	(	(	PUNCT
cana-690	78	4	ce	ce	X
cana-690	78	5	)	)	PUNCT
cana-690	78	6	are	be	AUX
cana-690	78	7	created	create	VERB
cana-690	78	8	when	when	SCONJ
cana-690	78	9	two	two	NUM
cana-690	78	10	basic	basic	ADJ
cana-690	78	11	emotions	emotion	NOUN
cana-690	78	12	are	be	AUX
cana-690	78	13	mixed	mixed	ADJ
cana-690	78	14	.	.	PUNCT
cana-690	79	1	du	du	PROPN
cana-690	79	2	et	et	PROPN
cana-690	79	3	al	al	PROPN
cana-690	79	4	.	.	PUNCT
cana-690	80	1	[	[	X
cana-690	80	2	12	12	NUM
cana-690	80	3	]	]	PUNCT
cana-690	80	4	identified	identify	VERB
cana-690	80	5	22	22	NUM
cana-690	80	6	human	human	ADJ
cana-690	80	7	emotions	emotion	NOUN
cana-690	80	8	,	,	PUNCT
cana-690	80	9	including	include	VERB
cana-690	80	10	seven	seven	NUM
cana-690	80	11	be	be	PROPN
cana-690	80	12	,	,	PUNCT
cana-690	80	13	twelve	twelve	NUM
cana-690	80	14	ce	ce	NOUN
cana-690	80	15	,	,	PUNCT
cana-690	80	16	and	and	CCONJ
cana-690	80	17	three	three	NUM
cana-690	80	18	others	other	NOUN
cana-690	80	19	(	(	PUNCT
cana-690	80	20	appall	appall	VERB
cana-690	80	21	,	,	PUNCT
cana-690	80	22	hate	hate	NOUN
cana-690	80	23	and	and	CCONJ
cana-690	80	24	awe	awe	ADJ
cana-690	80	25	)	)	PUNCT
cana-690	80	26	.	.	PUNCT
cana-690	81	1	micro	micro	ADJ
cana-690	81	2	movements	movement	NOUN
cana-690	81	3	(	(	PUNCT
cana-690	81	4	me	i	PRON
cana-690	81	5	)	)	PUNCT
cana-690	81	6	are	be	AUX
cana-690	81	7	in	in	ADP
cana-690	81	8	-	-	PUNCT
cana-690	81	9	voluntary	voluntary	ADJ
cana-690	81	10	facial	facial	ADJ
cana-690	81	11	gestures	gesture	NOUN
cana-690	81	12	that	that	PRON
cana-690	81	13	are	be	AUX
cana-690	81	14	minimal	minimal	ADJ
cana-690	81	15	and	and	CCONJ
cana-690	81	16	unintentional	unintentional	ADJ
cana-690	81	17	.	.	PUNCT
cana-690	82	1	they	they	PRON
cana-690	82	2	have	have	VERB
cana-690	82	3	an	an	DET
cana-690	82	4	uncanny	uncanny	ADJ
cana-690	82	5	capacity	capacity	NOUN
cana-690	82	6	to	to	PART
cana-690	82	7	reveal	reveal	VERB
cana-690	82	8	a	a	DET
cana-690	82	9	person	person	NOUN
cana-690	82	10	's	's	PART
cana-690	82	11	true	true	ADJ
cana-690	82	12	and	and	CCONJ
cana-690	82	13	hidden	hidden	ADJ
cana-690	82	14	feelings	feeling	NOUN
cana-690	82	15	in	in	ADP
cana-690	82	16	a	a	DET
cana-690	82	17	short	short	ADJ
cana-690	82	18	period	period	NOUN
cana-690	82	19	of	of	ADP
cana-690	82	20	time	time	NOUN
cana-690	82	21	[	[	X
cana-690	82	22	25	25	NUM
cana-690	82	23	]	]	PUNCT
cana-690	82	24	.	.	PUNCT
cana-690	83	1	communications	communication	NOUN
cana-690	83	2	on	on	ADP
cana-690	83	3	applied	apply	VERB
cana-690	83	4	nonlinear	nonlinear	ADJ
cana-690	83	5	analysis	analysis	NOUN
cana-690	83	6	issn	issn	NOUN
cana-690	83	7	:	:	PUNCT
cana-690	83	8	1074	1074	NUM
cana-690	83	9	-	-	PUNCT
cana-690	83	10	133x	133x	NUM
cana-690	83	11	vol	vol	NOUN
cana-690	83	12	31	31	NUM
cana-690	83	13	no	no	NOUN
cana-690	83	14	.	.	PUNCT
cana-690	84	1	2s	2s	NUM
cana-690	84	2	(	(	PUNCT
cana-690	84	3	2024	2024	NUM
cana-690	84	4	)	)	PUNCT
cana-690	84	5	634	634	NUM
cana-690	84	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-690	84	7	table1.descriptions	table1.description	NOUN
cana-690	84	8	of	of	ADP
cana-690	84	9	facial	facial	ADJ
cana-690	84	10	muscles	muscle	NOUN
cana-690	84	11	involved	involve	VERB
cana-690	84	12	in	in	ADP
cana-690	84	13	the	the	DET
cana-690	84	14	emotions	emotion	NOUN
cana-690	84	15	darwin	darwin	PROPN
cana-690	84	16	considered	consider	VERB
cana-690	84	17	universal	universal	ADJ
cana-690	84	18	3.1	3.1	NUM
cana-690	84	19	data	datum	NOUN
cana-690	84	20	preprocessing	preprocesse	VERB
cana-690	84	21	the	the	DET
cana-690	84	22	model	model	NOUN
cana-690	84	23	demonstrates	demonstrate	VERB
cana-690	84	24	improved	improved	ADJ
cana-690	84	25	performance	performance	NOUN
cana-690	84	26	in	in	ADP
cana-690	84	27	predicting	predict	VERB
cana-690	84	28	emotions	emotion	NOUN
cana-690	84	29	when	when	SCONJ
cana-690	84	30	the	the	DET
cana-690	84	31	images	image	NOUN
cana-690	84	32	remain	remain	VERB
cana-690	84	33	unaltered	unaltered	ADJ
cana-690	84	34	in	in	ADP
cana-690	84	35	terms	term	NOUN
cana-690	84	36	of	of	ADP
cana-690	84	37	rotation	rotation	NOUN
cana-690	84	38	and	and	CCONJ
cana-690	84	39	flipping	flipping	NOUN
cana-690	84	40	.	.	PUNCT
cana-690	85	1	all	all	DET
cana-690	85	2	manipulations	manipulation	NOUN
cana-690	85	3	are	be	AUX
cana-690	85	4	feasible	feasible	ADJ
cana-690	85	5	with	with	ADP
cana-690	85	6	the	the	DET
cana-690	85	7	kaggle	kaggle	ADJ
cana-690	85	8	dataset	dataset	NOUN
cana-690	85	9	.	.	PUNCT
cana-690	86	1	the	the	DET
cana-690	86	2	dataset	dataset	NOUN
cana-690	86	3	can	can	AUX
cana-690	86	4	be	be	AUX
cana-690	86	5	acquired	acquire	VERB
cana-690	86	6	and	and	CCONJ
cana-690	86	7	stored	store	VERB
cana-690	86	8	as	as	ADP
cana-690	86	9	a	a	DET
cana-690	86	10	numpy	numpy	NOUN
cana-690	86	11	array	array	NOUN
cana-690	86	12	with	with	ADP
cana-690	86	13	the	the	DET
cana-690	86	14	dimensions	dimension	NOUN
cana-690	86	15	:	:	PUNCT
cana-690	86	16	samples	sample	NOUN
cana-690	86	17	*	*	PUNCT
cana-690	86	18	(	(	PUNCT
cana-690	86	19	number	number	NOUN
cana-690	86	20	*	*	PUNCT
cana-690	86	21	48	48	NUM
cana-690	86	22	*	*	SYM
cana-690	86	23	48	48	NUM
cana-690	86	24	*	*	SYM
cana-690	86	25	48	48	NUM
cana-690	86	26	*	*	SYM
cana-690	86	27	1	1	NUM
cana-690	86	28	)	)	PUNCT
cana-690	86	29	.	.	PUNCT
cana-690	87	1	each	each	DET
cana-690	87	2	image	image	NOUN
cana-690	87	3	is	be	AUX
cana-690	87	4	a	a	DET
cana-690	87	5	variant	variant	NOUN
cana-690	87	6	of	of	ADP
cana-690	87	7	(	(	PUNCT
cana-690	87	8	48	48	NUM
cana-690	87	9	*	*	SYM
cana-690	87	10	48	48	NUM
cana-690	87	11	*	*	SYM
cana-690	87	12	1	1	NUM
cana-690	87	13	)	)	PUNCT
cana-690	87	14	in	in	ADP
cana-690	87	15	some	some	DET
cana-690	87	16	form	form	NOUN
cana-690	87	17	.	.	PUNCT
cana-690	88	1	although	although	SCONJ
cana-690	88	2	we	we	PRON
cana-690	88	3	maintain	maintain	VERB
cana-690	88	4	it	it	PRON
cana-690	88	5	in	in	ADP
cana-690	88	6	the	the	DET
cana-690	88	7	array	array	NOUN
cana-690	88	8	for	for	ADP
cana-690	88	9	convenience	convenience	NOUN
cana-690	88	10	,	,	PUNCT
cana-690	88	11	you	you	PRON
cana-690	88	12	have	have	VERB
cana-690	88	13	the	the	DET
cana-690	88	14	option	option	NOUN
cana-690	88	15	to	to	PART
cana-690	88	16	organize	organize	VERB
cana-690	88	17	it	it	PRON
cana-690	88	18	into	into	ADP
cana-690	88	19	folders	folder	NOUN
cana-690	88	20	for	for	ADP
cana-690	88	21	data	datum	NOUN
cana-690	88	22	augmentation	augmentation	NOUN
cana-690	88	23	using	use	VERB
cana-690	88	24	the	the	DET
cana-690	88	25	image	image	NOUN
cana-690	88	26	data	data	NOUN
cana-690	88	27	generator	generator	NOUN
cana-690	88	28	class	class	NOUN
cana-690	88	29	from	from	ADP
cana-690	88	30	keras	keras	PROPN
cana-690	88	31	preprocessing	preprocesse	VERB
cana-690	88	32	image	image	NOUN
cana-690	88	33	.	.	PUNCT
cana-690	89	1	3.2	3.2	NUM
cana-690	89	2	model	model	NOUN
cana-690	89	3	architecture	architecture	NOUN
cana-690	89	4	&	&	CCONJ
cana-690	89	5	functionality	functionality	NOUN
cana-690	89	6	utilizing	utilize	VERB
cana-690	89	7	various	various	ADJ
cana-690	89	8	cnn	cnn	PROPN
cana-690	89	9	designs	design	NOUN
cana-690	89	10	,	,	PUNCT
cana-690	89	11	the	the	DET
cana-690	89	12	cnn	cnn	PROPN
cana-690	89	13	(	(	PUNCT
cana-690	89	14	convolutional	convolutional	ADJ
cana-690	89	15	neural	neural	ADJ
cana-690	89	16	networks	network	NOUN
cana-690	89	17	)	)	PUNCT
cana-690	89	18	model	model	NOUN
cana-690	89	19	architecture	architecture	NOUN
cana-690	89	20	achieves	achieve	VERB
cana-690	89	21	outstanding	outstanding	ADJ
cana-690	89	22	accuracy	accuracy	NOUN
cana-690	89	23	.	.	PUNCT
cana-690	90	1	this	this	DET
cana-690	90	2	architecture	architecture	NOUN
cana-690	90	3	is	be	AUX
cana-690	90	4	employed	employ	VERB
cana-690	90	5	to	to	PART
cana-690	90	6	categorize	categorize	VERB
cana-690	90	7	concepts	concept	NOUN
cana-690	90	8	into	into	ADP
cana-690	90	9	four	four	NUM
cana-690	90	10	groups	group	NOUN
cana-690	90	11	,	,	PUNCT
cana-690	90	12	and	and	CCONJ
cana-690	90	13	the	the	DET
cana-690	90	14	resultant	resultant	NOUN
cana-690	90	15	models	model	NOUN
cana-690	90	16	are	be	AUX
cana-690	90	17	amalgamated	amalgamate	VERB
cana-690	90	18	to	to	PART
cana-690	90	19	offer	offer	VERB
cana-690	90	20	five	five	NUM
cana-690	90	21	emotion	emotion	NOUN
cana-690	90	22	categories	category	NOUN
cana-690	90	23	.	.	PUNCT
cana-690	91	1	communications	communication	NOUN
cana-690	91	2	on	on	ADP
cana-690	91	3	applied	apply	VERB
cana-690	91	4	nonlinear	nonlinear	ADJ
cana-690	91	5	analysis	analysis	NOUN
cana-690	91	6	issn	issn	NOUN
cana-690	91	7	:	:	PUNCT
cana-690	91	8	1074	1074	NUM
cana-690	91	9	-	-	PUNCT
cana-690	91	10	133x	133x	NUM
cana-690	91	11	vol	vol	NOUN
cana-690	91	12	31	31	NUM
cana-690	91	13	no	no	NOUN
cana-690	91	14	.	.	PUNCT
cana-690	92	1	2s	2s	NUM
cana-690	92	2	(	(	PUNCT
cana-690	92	3	2024	2024	NUM
cana-690	92	4	)	)	PUNCT
cana-690	92	5	635	635	NUM
cana-690	92	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-690	92	7	figure2	figure2	PROPN
cana-690	92	8	.	.	PUNCT
cana-690	93	1	cnn	cnn	PROPN
cana-690	93	2	model	model	NOUN
cana-690	93	3	architecture	architecture	NOUN
cana-690	93	4	the	the	DET
cana-690	93	5	following	follow	VERB
cana-690	93	6	gif	gif	NOUN
cana-690	93	7	(	(	PUNCT
cana-690	93	8	graphics	graphic	NOUN
cana-690	93	9	interchange	interchange	NOUN
cana-690	93	10	format	format	NOUN
cana-690	93	11	)	)	PUNCT
cana-690	93	12	uses	use	VERB
cana-690	93	13	the	the	DET
cana-690	93	14	original	original	ADJ
cana-690	93	15	image	image	NOUN
cana-690	93	16	as	as	ADP
cana-690	93	17	input	input	NOUN
cana-690	93	18	and	and	CCONJ
cana-690	93	19	the	the	DET
cana-690	93	20	opencv	opencv	PROPN
cana-690	93	21	module	module	NOUN
cana-690	93	22	to	to	PART
cana-690	93	23	turn	turn	VERB
cana-690	93	24	it	it	PRON
cana-690	93	25	into	into	ADP
cana-690	93	26	a	a	DET
cana-690	93	27	48	48	NUM
cana-690	93	28	*	*	SYM
cana-690	93	29	48	48	NUM
cana-690	93	30	*	*	SYM
cana-690	93	31	1	1	NUM
cana-690	93	32	shape	shape	NOUN
cana-690	93	33	to	to	PART
cana-690	93	34	show	show	VERB
cana-690	93	35	how	how	SCONJ
cana-690	93	36	the	the	DET
cana-690	93	37	cnn	cnn	PROPN
cana-690	93	38	model	model	NOUN
cana-690	93	39	functions	function	NOUN
cana-690	93	40	.	.	PUNCT
cana-690	94	1	in	in	ADP
cana-690	94	2	this	this	DET
cana-690	94	3	work	work	NOUN
cana-690	94	4	,	,	PUNCT
cana-690	94	5	the	the	DET
cana-690	94	6	cnn	cnn	PROPN
cana-690	94	7	model	model	NOUN
cana-690	94	8	applies	apply	VERB
cana-690	94	9	all	all	DET
cana-690	94	10	three	three	NUM
cana-690	94	11	blocks	block	NOUN
cana-690	94	12	to	to	ADP
cana-690	94	13	the	the	DET
cana-690	94	14	input	input	NOUN
cana-690	94	15	image	image	NOUN
cana-690	94	16	using	use	VERB
cana-690	94	17	the	the	DET
cana-690	94	18	conv2d	conv2d	ADJ
cana-690	94	19	,	,	PUNCT
cana-690	94	20	batch	batch	NOUN
cana-690	94	21	normalization	normalization	NOUN
cana-690	94	22	,	,	PUNCT
cana-690	94	23	maxpooling2d	maxpooling2d	PROPN
cana-690	94	24	,	,	PUNCT
cana-690	94	25	and	and	CCONJ
cana-690	94	26	dropout	dropout	NOUN
cana-690	94	27	layers	layer	NOUN
cana-690	94	28	.	.	PUNCT
cana-690	95	1	pooling	pool	VERB
cana-690	95	2	layers	layer	NOUN
cana-690	95	3	minimised	minimise	VERB
cana-690	95	4	the	the	DET
cana-690	95	5	size	size	NOUN
cana-690	95	6	of	of	ADP
cana-690	95	7	a	a	DET
cana-690	95	8	picture	picture	NOUN
cana-690	95	9	in	in	ADP
cana-690	95	10	half	half	NOUN
cana-690	95	11	by	by	ADP
cana-690	95	12	only	only	ADV
cana-690	95	13	using	use	VERB
cana-690	95	14	the	the	DET
cana-690	95	15	most	most	ADV
cana-690	95	16	important	important	ADJ
cana-690	95	17	components	component	NOUN
cana-690	95	18	from	from	ADP
cana-690	95	19	each	each	DET
cana-690	95	20	block	block	NOUN
cana-690	95	21	(	(	PUNCT
cana-690	95	22	which	which	PRON
cana-690	95	23	is	be	AUX
cana-690	95	24	shown	show	VERB
cana-690	95	25	by	by	ADP
cana-690	95	26	a	a	DET
cana-690	95	27	slightly	slightly	ADV
cana-690	95	28	blurred	blurred	ADJ
cana-690	95	29	image	image	NOUN
cana-690	95	30	and	and	CCONJ
cana-690	95	31	reduced	reduced	ADJ
cana-690	95	32	size	size	NOUN
cana-690	95	33	,	,	PUNCT
cana-690	95	34	just	just	ADV
cana-690	95	35	for	for	ADP
cana-690	95	36	better	well	ADJ
cana-690	95	37	visualization	visualization	NOUN
cana-690	95	38	)	)	PUNCT
cana-690	95	39	.	.	PUNCT
cana-690	96	1	in	in	ADP
cana-690	96	2	conv2d	conv2d	PROPN
cana-690	96	3	,	,	PUNCT
cana-690	96	4	this	this	DET
cana-690	96	5	layer	layer	NOUN
cana-690	96	6	creates	create	VERB
cana-690	96	7	a	a	DET
cana-690	96	8	convolution	convolution	NOUN
cana-690	96	9	kernel	kernel	NOUN
cana-690	96	10	that	that	PRON
cana-690	96	11	is	be	AUX
cana-690	96	12	convolved	convolve	VERB
cana-690	96	13	with	with	ADP
cana-690	96	14	the	the	DET
cana-690	96	15	layer	layer	NOUN
cana-690	96	16	input	input	NOUN
cana-690	96	17	to	to	PART
cana-690	96	18	produce	produce	VERB
cana-690	96	19	a	a	DET
cana-690	96	20	tensor	tensor	NOUN
cana-690	96	21	of	of	ADP
cana-690	96	22	outputs	output	NOUN
cana-690	96	23	.	.	PUNCT
cana-690	97	1	if	if	SCONJ
cana-690	97	2	use	use	NOUN
cana-690	97	3	bias	bias	NOUN
cana-690	97	4	is	be	AUX
cana-690	97	5	true	true	ADJ
cana-690	97	6	,	,	PUNCT
cana-690	97	7	a	a	DET
cana-690	97	8	bias	bias	NOUN
cana-690	97	9	vector	vector	NOUN
cana-690	97	10	is	be	AUX
cana-690	97	11	created	create	VERB
cana-690	97	12	and	and	CCONJ
cana-690	97	13	added	add	VERB
cana-690	97	14	to	to	ADP
cana-690	97	15	the	the	DET
cana-690	97	16	outputs	output	NOUN
cana-690	97	17	.	.	PUNCT
cana-690	98	1	finally	finally	ADV
cana-690	98	2	,	,	PUNCT
cana-690	98	3	if	if	SCONJ
cana-690	98	4	activation	activation	NOUN
cana-690	98	5	is	be	AUX
cana-690	98	6	not	not	PART
cana-690	98	7	none	none	NOUN
cana-690	98	8	,	,	PUNCT
cana-690	98	9	it	it	PRON
cana-690	98	10	is	be	AUX
cana-690	98	11	applied	apply	VERB
cana-690	98	12	to	to	ADP
cana-690	98	13	the	the	DET
cana-690	98	14	outputs	output	NOUN
cana-690	98	15	as	as	ADV
cana-690	98	16	well	well	ADV
cana-690	98	17	.	.	PUNCT
cana-690	99	1	batch	batch	NOUN
cana-690	99	2	normalization	normalization	NOUN
cana-690	99	3	is	be	AUX
cana-690	99	4	a	a	DET
cana-690	99	5	normalization	normalization	NOUN
cana-690	99	6	technique	technique	NOUN
cana-690	99	7	done	do	VERB
cana-690	99	8	between	between	ADP
cana-690	99	9	the	the	DET
cana-690	99	10	layers	layer	NOUN
cana-690	99	11	of	of	ADP
cana-690	99	12	a	a	DET
cana-690	99	13	neural	neural	ADJ
cana-690	99	14	network	network	NOUN
cana-690	99	15	instead	instead	ADV
cana-690	99	16	of	of	ADP
cana-690	99	17	in	in	ADP
cana-690	99	18	the	the	DET
cana-690	99	19	raw	raw	ADJ
cana-690	99	20	data	datum	NOUN
cana-690	99	21	.	.	PUNCT
cana-690	100	1	it	it	PRON
cana-690	100	2	is	be	AUX
cana-690	100	3	done	do	VERB
cana-690	100	4	along	along	ADP
cana-690	100	5	mini	mini	ADJ
cana-690	100	6	batches	batch	NOUN
cana-690	100	7	instead	instead	ADV
cana-690	100	8	of	of	ADP
cana-690	100	9	the	the	DET
cana-690	100	10	full	full	ADJ
cana-690	100	11	data	datum	NOUN
cana-690	100	12	set	set	VERB
cana-690	100	13	.	.	PUNCT
cana-690	101	1	it	it	PRON
cana-690	101	2	serves	serve	VERB
cana-690	101	3	to	to	PART
cana-690	101	4	speed	speed	VERB
cana-690	101	5	up	up	ADP
cana-690	101	6	training	training	NOUN
cana-690	101	7	and	and	CCONJ
cana-690	101	8	use	use	VERB
cana-690	101	9	higher	high	ADJ
cana-690	101	10	learning	learning	NOUN
cana-690	101	11	rates	rate	NOUN
cana-690	101	12	,	,	PUNCT
cana-690	101	13	making	make	VERB
cana-690	101	14	learning	learn	VERB
cana-690	101	15	easier	easy	ADJ
cana-690	101	16	.	.	PUNCT
cana-690	102	1	maxpooling2d	maxpooling2d	PROPN
cana-690	102	2	works	work	VERB
cana-690	102	3	by	by	ADP
cana-690	102	4	selecting	select	VERB
cana-690	102	5	the	the	DET
cana-690	102	6	maximum	maximum	ADJ
cana-690	102	7	value	value	NOUN
cana-690	102	8	from	from	ADP
cana-690	102	9	every	every	DET
cana-690	102	10	pool	pool	NOUN
cana-690	102	11	.	.	PUNCT
cana-690	103	1	max	max	PROPN
cana-690	103	2	pooling	pooling	PROPN
cana-690	103	3	retains	retain	VERB
cana-690	103	4	the	the	DET
cana-690	103	5	most	most	ADV
cana-690	103	6	prominent	prominent	ADJ
cana-690	103	7	features	feature	NOUN
cana-690	103	8	of	of	ADP
cana-690	103	9	the	the	DET
cana-690	103	10	feature	feature	NOUN
cana-690	103	11	map	map	NOUN
cana-690	103	12	,	,	PUNCT
cana-690	103	13	and	and	CCONJ
cana-690	103	14	the	the	DET
cana-690	103	15	returned	return	VERB
cana-690	103	16	image	image	NOUN
cana-690	103	17	is	be	AUX
cana-690	103	18	sharper	sharp	ADJ
cana-690	103	19	than	than	ADP
cana-690	103	20	the	the	DET
cana-690	103	21	original	original	ADJ
cana-690	103	22	image	image	NOUN
cana-690	103	23	.	.	PUNCT
cana-690	104	1	the	the	DET
cana-690	104	2	dropout	dropout	NOUN
cana-690	104	3	layer	layer	NOUN
cana-690	104	4	is	be	AUX
cana-690	104	5	a	a	DET
cana-690	104	6	mask	mask	NOUN
cana-690	104	7	that	that	PRON
cana-690	104	8	nullifies	nullify	VERB
cana-690	104	9	the	the	DET
cana-690	104	10	contribution	contribution	NOUN
cana-690	104	11	of	of	ADP
cana-690	104	12	some	some	DET
cana-690	104	13	neurons	neuron	NOUN
cana-690	104	14	towards	towards	ADP
cana-690	104	15	the	the	DET
cana-690	104	16	next	next	ADJ
cana-690	104	17	layer	layer	NOUN
cana-690	104	18	and	and	CCONJ
cana-690	104	19	leaves	leave	VERB
cana-690	104	20	unmodified	unmodifie	VERB
cana-690	104	21	all	all	DET
cana-690	104	22	others	other	NOUN
cana-690	104	23	.	.	PUNCT
cana-690	105	1	we	we	PRON
cana-690	105	2	can	can	AUX
cana-690	105	3	apply	apply	VERB
cana-690	105	4	a	a	DET
cana-690	105	5	dropout	dropout	NOUN
cana-690	105	6	layer	layer	NOUN
cana-690	105	7	to	to	ADP
cana-690	105	8	the	the	DET
cana-690	105	9	input	input	NOUN
cana-690	105	10	vector	vector	NOUN
cana-690	105	11	,	,	PUNCT
cana-690	105	12	in	in	ADP
cana-690	105	13	which	which	DET
cana-690	105	14	case	case	NOUN
cana-690	105	15	it	it	PRON
cana-690	105	16	nullifies	nullify	VERB
cana-690	105	17	some	some	PRON
cana-690	105	18	of	of	ADP
cana-690	105	19	its	its	PRON
cana-690	105	20	features	feature	NOUN
cana-690	105	21	;	;	PUNCT
cana-690	105	22	but	but	CCONJ
cana-690	105	23	we	we	PRON
cana-690	105	24	can	can	AUX
cana-690	105	25	also	also	ADV
cana-690	105	26	apply	apply	VERB
cana-690	105	27	it	it	PRON
cana-690	105	28	to	to	ADP
cana-690	105	29	a	a	DET
cana-690	105	30	hidden	hide	VERB
cana-690	105	31	layer	layer	NOUN
cana-690	105	32	,	,	PUNCT
cana-690	105	33	in	in	ADP
cana-690	105	34	which	which	DET
cana-690	105	35	case	case	NOUN
cana-690	105	36	it	it	PRON
cana-690	105	37	nullifies	nullify	VERB
cana-690	105	38	some	some	DET
cana-690	105	39	hidden	hidden	ADJ
cana-690	105	40	neurons	neuron	NOUN
cana-690	105	41	.	.	PUNCT
cana-690	106	1	dropout	dropout	NOUN
cana-690	106	2	layers	layer	NOUN
cana-690	106	3	are	be	AUX
cana-690	106	4	important	important	ADJ
cana-690	106	5	in	in	ADP
cana-690	106	6	training	training	NOUN
cana-690	106	7	cnns	cnn	NOUN
cana-690	106	8	because	because	SCONJ
cana-690	106	9	they	they	PRON
cana-690	106	10	prevent	prevent	VERB
cana-690	106	11	overfitting	overfitte	VERB
cana-690	106	12	on	on	ADP
cana-690	106	13	the	the	DET
cana-690	106	14	training	training	NOUN
cana-690	106	15	data	datum	NOUN
cana-690	106	16	.	.	PUNCT
cana-690	107	1	if	if	SCONJ
cana-690	107	2	they	they	PRON
cana-690	107	3	are	be	AUX
cana-690	107	4	not	not	PART
cana-690	107	5	present	present	ADJ
cana-690	107	6	,	,	PUNCT
cana-690	107	7	the	the	DET
cana-690	107	8	first	first	ADJ
cana-690	107	9	batch	batch	NOUN
cana-690	107	10	of	of	ADP
cana-690	107	11	training	training	NOUN
cana-690	107	12	samples	sample	NOUN
cana-690	107	13	influences	influence	VERB
cana-690	107	14	the	the	DET
cana-690	107	15	learning	learning	NOUN
cana-690	107	16	in	in	ADP
cana-690	107	17	a	a	DET
cana-690	107	18	disproportionately	disproportionately	ADV
cana-690	107	19	high	high	ADJ
cana-690	107	20	manner	manner	NOUN
cana-690	107	21	.	.	PUNCT
cana-690	108	1	this	this	PRON
cana-690	108	2	,	,	PUNCT
cana-690	108	3	in	in	ADP
cana-690	108	4	turn	turn	NOUN
cana-690	108	5	,	,	PUNCT
cana-690	108	6	would	would	AUX
cana-690	108	7	prevent	prevent	VERB
cana-690	108	8	the	the	DET
cana-690	108	9	learning	learning	NOUN
cana-690	108	10	of	of	ADP
cana-690	108	11	features	feature	NOUN
cana-690	108	12	that	that	PRON
cana-690	108	13	appear	appear	VERB
cana-690	108	14	only	only	ADV
cana-690	108	15	in	in	ADP
cana-690	108	16	later	later	ADJ
cana-690	108	17	samples	sample	NOUN
cana-690	108	18	or	or	CCONJ
cana-690	108	19	batches	batch	NOUN
cana-690	108	20	.	.	PUNCT
cana-690	109	1	4	4	X
cana-690	109	2	.	.	X
cana-690	109	3	results	result	NOUN
cana-690	109	4	we	we	PRON
cana-690	109	5	have	have	VERB
cana-690	109	6	work	work	NOUN
cana-690	109	7	on	on	ADP
cana-690	109	8	7	7	NUM
cana-690	109	9	-	-	PUNCT
cana-690	109	10	class	class	NOUN
cana-690	109	11	(	(	PUNCT
cana-690	109	12	happy	happy	ADJ
cana-690	109	13	,	,	PUNCT
cana-690	109	14	angry	angry	ADJ
cana-690	109	15	,	,	PUNCT
cana-690	109	16	disgust	disgust	ADJ
cana-690	109	17	,	,	PUNCT
cana-690	109	18	neutral	neutral	ADJ
cana-690	109	19	,	,	PUNCT
cana-690	109	20	sad	sad	ADJ
cana-690	109	21	,	,	PUNCT
cana-690	109	22	fear	fear	NOUN
cana-690	109	23	,	,	PUNCT
cana-690	109	24	surprise	surprise	NOUN
cana-690	109	25	)	)	PUNCT
cana-690	109	26	classification	classification	NOUN
cana-690	109	27	using	use	VERB
cana-690	109	28	the	the	DET
cana-690	109	29	above	above	ADJ
cana-690	109	30	model	model	NOUN
cana-690	109	31	:	:	PUNCT
cana-690	109	32	vgg	vgg	NOUN
cana-690	109	33	can	can	AUX
cana-690	109	34	use	use	VERB
cana-690	109	35	a	a	DET
cana-690	109	36	relatively	relatively	ADV
cana-690	109	37	small	small	ADJ
cana-690	109	38	architecture	architecture	NOUN
cana-690	109	39	of	of	ADP
cana-690	109	40	3	3	NUM
cana-690	109	41	-	-	PUNCT
cana-690	109	42	by-3	by-3	VERB
cana-690	109	43	convolution	convolution	NOUN
cana-690	109	44	features	feature	VERB
cana-690	109	45	to	to	PART
cana-690	109	46	attain	attain	VERB
cana-690	109	47	impressive	impressive	ADJ
cana-690	109	48	accuracy	accuracy	NOUN
cana-690	109	49	in	in	ADP
cana-690	109	50	image	image	NOUN
cana-690	109	51	classification	classification	NOUN
cana-690	109	52	.	.	PUNCT
cana-690	110	1	the	the	DET
cana-690	110	2	number	number	NOUN
cana-690	110	3	associated	associate	VERB
cana-690	110	4	with	with	ADP
cana-690	110	5	each	each	DET
cana-690	110	6	vgg	vgg	NOUN
cana-690	110	7	model	model	NOUN
cana-690	110	8	is	be	AUX
cana-690	110	9	the	the	DET
cana-690	110	10	number	number	NOUN
cana-690	110	11	of	of	ADP
cana-690	110	12	total	total	ADJ
cana-690	110	13	depth	depth	NOUN
cana-690	110	14	layers	layer	NOUN
cana-690	110	15	,	,	PUNCT
cana-690	110	16	the	the	DET
cana-690	110	17	majority	majority	NOUN
cana-690	110	18	of	of	ADP
cana-690	110	19	those	those	PRON
cana-690	110	20	being	be	AUX
cana-690	110	21	convolutional	convolutional	ADJ
cana-690	110	22	layers	layer	NOUN
cana-690	110	23	.	.	PUNCT
cana-690	111	1	the	the	DET
cana-690	111	2	most	most	ADV
cana-690	111	3	widely	widely	ADV
cana-690	111	4	used	use	VERB
cana-690	111	5	vgg	vgg	NOUN
cana-690	111	6	models	model	NOUN
cana-690	111	7	are	be	AUX
cana-690	111	8	vgg-16	vgg-16	NOUN
cana-690	111	9	and	and	CCONJ
cana-690	111	10	vgg-19	vgg-19	NUM
cana-690	111	11	,	,	PUNCT
cana-690	111	12	which	which	PRON
cana-690	111	13	are	be	AUX
cana-690	111	14	the	the	DET
cana-690	111	15	two	two	NUM
cana-690	111	16	models	model	NOUN
cana-690	111	17	that	that	PRON
cana-690	111	18	we	we	PRON
cana-690	111	19	chose	choose	VERB
cana-690	111	20	for	for	ADP
cana-690	111	21	our	our	PRON
cana-690	111	22	study	study	NOUN
cana-690	111	23	.	.	PUNCT
cana-690	112	1	communications	communication	NOUN
cana-690	112	2	on	on	ADP
cana-690	112	3	applied	apply	VERB
cana-690	112	4	nonlinear	nonlinear	ADJ
cana-690	112	5	analysis	analysis	NOUN
cana-690	112	6	issn	issn	NOUN
cana-690	112	7	:	:	PUNCT
cana-690	112	8	1074	1074	NUM
cana-690	112	9	-	-	PUNCT
cana-690	112	10	133x	133x	NUM
cana-690	112	11	vol	vol	NOUN
cana-690	112	12	31	31	NUM
cana-690	112	13	no	no	NOUN
cana-690	112	14	.	.	PUNCT
cana-690	113	1	2s	2s	NUM
cana-690	113	2	(	(	PUNCT
cana-690	113	3	2024	2024	NUM
cana-690	113	4	)	)	PUNCT
cana-690	113	5	636	636	NUM
cana-690	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-690	113	7	despite	despite	SCONJ
cana-690	113	8	being	be	AUX
cana-690	113	9	among	among	ADP
cana-690	113	10	the	the	DET
cana-690	113	11	best	good	ADJ
cana-690	113	12	cnn	cnn	PROPN
cana-690	113	13	models	model	NOUN
cana-690	113	14	at	at	ADP
cana-690	113	15	both	both	DET
cana-690	113	16	object	object	NOUN
cana-690	113	17	detection	detection	NOUN
cana-690	113	18	and	and	CCONJ
cana-690	113	19	image	image	NOUN
cana-690	113	20	classification	classification	NOUN
cana-690	113	21	,	,	PUNCT
cana-690	113	22	vgg	vgg	PROPN
cana-690	113	23	does	do	AUX
cana-690	113	24	have	have	VERB
cana-690	113	25	a	a	DET
cana-690	113	26	few	few	ADJ
cana-690	113	27	drawbacks	drawback	NOUN
cana-690	113	28	which	which	PRON
cana-690	113	29	can	can	AUX
cana-690	113	30	make	make	VERB
cana-690	113	31	it	it	PRON
cana-690	113	32	challenging	challenging	ADJ
cana-690	113	33	to	to	PART
cana-690	113	34	use	use	VERB
cana-690	113	35	.	.	PUNCT
cana-690	114	1	due	due	ADP
cana-690	114	2	to	to	ADP
cana-690	114	3	its	its	PRON
cana-690	114	4	robustness	robustness	NOUN
cana-690	114	5	,	,	PUNCT
cana-690	114	6	vgg	vgg	PROPN
cana-690	114	7	can	can	AUX
cana-690	114	8	be	be	AUX
cana-690	114	9	slow	slow	ADJ
cana-690	114	10	to	to	PART
cana-690	114	11	train	train	VERB
cana-690	114	12	;	;	PUNCT
cana-690	114	13	the	the	DET
cana-690	114	14	initial	initial	ADJ
cana-690	114	15	vgg	vgg	NOUN
cana-690	114	16	model	model	NOUN
cana-690	114	17	was	be	AUX
cana-690	114	18	trained	train	VERB
cana-690	114	19	over	over	ADP
cana-690	114	20	a	a	DET
cana-690	114	21	period	period	NOUN
cana-690	114	22	of	of	ADP
cana-690	114	23	weeks	week	NOUN
cana-690	114	24	on	on	ADP
cana-690	114	25	a	a	DET
cana-690	114	26	state	state	NOUN
cana-690	114	27	of	of	ADP
cana-690	114	28	the	the	DET
cana-690	114	29	art	art	NOUN
cana-690	114	30	nvidia	nvidia	PROPN
cana-690	114	31	gpu	gpu	PROPN
cana-690	114	32	.	.	PROPN
cana-690	115	1	additionally	additionally	ADV
cana-690	115	2	,	,	PUNCT
cana-690	115	3	when	when	SCONJ
cana-690	115	4	vgg	vgg	PROPN
cana-690	115	5	was	be	AUX
cana-690	115	6	utilized	utilize	VERB
cana-690	115	7	in	in	ADP
cana-690	115	8	the	the	DET
cana-690	115	9	ilsvrc	ilsvrc	NOUN
cana-690	115	10	,	,	PUNCT
cana-690	115	11	the	the	DET
cana-690	115	12	size	size	NOUN
cana-690	115	13	of	of	ADP
cana-690	115	14	the	the	DET
cana-690	115	15	weights	weight	NOUN
cana-690	115	16	used	use	VERB
cana-690	115	17	caused	cause	VERB
cana-690	115	18	vgg	vgg	NOUN
cana-690	115	19	to	to	PART
cana-690	115	20	use	use	VERB
cana-690	115	21	a	a	DET
cana-690	115	22	substantial	substantial	ADJ
cana-690	115	23	amount	amount	NOUN
cana-690	115	24	of	of	ADP
cana-690	115	25	bandwidth	bandwidth	NOUN
cana-690	115	26	and	and	CCONJ
cana-690	115	27	disk	disk	NOUN
cana-690	115	28	space	space	NOUN
cana-690	115	29	.	.	PUNCT
cana-690	116	1	resnet	resnet	NOUN
cana-690	116	2	is	be	AUX
cana-690	116	3	a	a	DET
cana-690	116	4	type	type	NOUN
cana-690	116	5	of	of	ADP
cana-690	116	6	cnn	cnn	PROPN
cana-690	116	7	that	that	PRON
cana-690	116	8	was	be	AUX
cana-690	116	9	designed	design	VERB
cana-690	116	10	to	to	PART
cana-690	116	11	improve	improve	VERB
cana-690	116	12	image	image	NOUN
cana-690	116	13	classification	classification	NOUN
cana-690	116	14	accuracy	accuracy	NOUN
cana-690	116	15	by	by	ADP
cana-690	116	16	allowing	allow	VERB
cana-690	116	17	for	for	ADP
cana-690	116	18	the	the	DET
cana-690	116	19	addition	addition	NOUN
cana-690	116	20	of	of	ADP
cana-690	116	21	more	more	ADJ
cana-690	116	22	layers	layer	NOUN
cana-690	116	23	.	.	PUNCT
cana-690	117	1	this	this	DET
cana-690	117	2	architecture	architecture	NOUN
cana-690	117	3	enables	enable	VERB
cana-690	117	4	the	the	DET
cana-690	117	5	neural	neural	ADJ
cana-690	117	6	network	network	NOUN
cana-690	117	7	to	to	PART
cana-690	117	8	learn	learn	VERB
cana-690	117	9	more	more	ADJ
cana-690	117	10	complex	complex	ADJ
cana-690	117	11	features	feature	NOUN
cana-690	117	12	and	and	CCONJ
cana-690	117	13	achieve	achieve	VERB
cana-690	117	14	better	well	ADJ
cana-690	117	15	performance	performance	NOUN
cana-690	117	16	.	.	PUNCT
cana-690	118	1	however	however	ADV
cana-690	118	2	,	,	PUNCT
cana-690	118	3	adding	add	VERB
cana-690	118	4	too	too	ADV
cana-690	118	5	many	many	ADJ
cana-690	118	6	layers	layer	NOUN
cana-690	118	7	can	can	AUX
cana-690	118	8	cause	cause	VERB
cana-690	118	9	a	a	DET
cana-690	118	10	decrease	decrease	NOUN
cana-690	118	11	in	in	ADP
cana-690	118	12	accuracy	accuracy	NOUN
cana-690	118	13	.	.	PUNCT
cana-690	119	1	inception	inception	NOUN
cana-690	119	2	is	be	AUX
cana-690	119	3	a	a	DET
cana-690	119	4	convolutional	convolutional	ADJ
cana-690	119	5	neural	neural	ADJ
cana-690	119	6	network	network	NOUN
cana-690	119	7	designed	design	VERB
cana-690	119	8	to	to	PART
cana-690	119	9	address	address	VERB
cana-690	119	10	the	the	DET
cana-690	119	11	challenge	challenge	NOUN
cana-690	119	12	of	of	ADP
cana-690	119	13	varying	vary	VERB
cana-690	119	14	salient	salient	ADJ
cana-690	119	15	parts	part	NOUN
cana-690	119	16	of	of	ADP
cana-690	119	17	images	image	NOUN
cana-690	119	18	.	.	PUNCT
cana-690	120	1	instead	instead	ADV
cana-690	120	2	of	of	ADP
cana-690	120	3	going	go	VERB
cana-690	120	4	deeper	deep	ADJ
cana-690	120	5	,	,	PUNCT
cana-690	120	6	inception	inception	NOUN
cana-690	120	7	goes	go	VERB
cana-690	120	8	wider	wide	ADJ
cana-690	120	9	by	by	ADP
cana-690	120	10	using	use	VERB
cana-690	120	11	filters	filter	NOUN
cana-690	120	12	with	with	ADP
cana-690	120	13	multiple	multiple	ADJ
cana-690	120	14	sizes	size	NOUN
cana-690	120	15	.	.	PUNCT
cana-690	121	1	inception	inception	ADJ
cana-690	121	2	v2	v2	PROPN
cana-690	121	3	and	and	CCONJ
cana-690	121	4	inception	inception	PROPN
cana-690	121	5	v3	v3	PROPN
cana-690	121	6	were	be	AUX
cana-690	121	7	proposed	propose	VERB
cana-690	121	8	to	to	ADP
cana-690	121	9	im	im	ADV
cana-690	121	10	-	-	PUNCT
cana-690	121	11	prove	prove	VERB
cana-690	121	12	efficiency	efficiency	NOUN
cana-690	121	13	and	and	CCONJ
cana-690	121	14	accuracy	accuracy	NOUN
cana-690	121	15	,	,	PUNCT
cana-690	121	16	with	with	ADP
cana-690	121	17	inception	inception	ADJ
cana-690	121	18	v3	v3	PROPN
cana-690	121	19	introducing	introduce	VERB
cana-690	121	20	7	7	NUM
cana-690	121	21	-	-	PUNCT
cana-690	121	22	by-7	by-7	NOUN
cana-690	121	23	convolutions	convolution	NOUN
cana-690	121	24	and	and	CCONJ
cana-690	121	25	adjustments	adjustment	NOUN
cana-690	121	26	to	to	ADP
cana-690	121	27	auxiliary	auxiliary	ADJ
cana-690	121	28	classifiers	classifier	NOUN
cana-690	121	29	.	.	PUNCT
cana-690	122	1	different	different	ADJ
cana-690	122	2	versions	version	NOUN
cana-690	122	3	of	of	ADP
cana-690	122	4	inception	inception	NOUN
cana-690	122	5	have	have	VERB
cana-690	122	6	differences	difference	NOUN
cana-690	122	7	in	in	ADP
cana-690	122	8	image	image	NOUN
cana-690	122	9	classification	classification	NOUN
cana-690	122	10	.	.	PUNCT
cana-690	123	1	table2	table2	PROPN
cana-690	123	2	.	.	PUNCT
cana-690	124	1	accuracies	accuracy	NOUN
cana-690	124	2	for	for	ADP
cana-690	124	3	different	different	ADJ
cana-690	124	4	models	model	NOUN
cana-690	124	5	and	and	CCONJ
cana-690	124	6	cnn	cnn	PROPN
cana-690	124	7	variants	variant	NOUN
cana-690	124	8	over	over	ADP
cana-690	124	9	-	-	PUNCT
cana-690	124	10	fitting	fitting	NOUN
cana-690	124	11	is	be	AUX
cana-690	124	12	often	often	ADV
cana-690	124	13	seen	see	VERB
cana-690	124	14	in	in	ADP
cana-690	124	15	preset	preset	ADJ
cana-690	124	16	models	model	NOUN
cana-690	124	17	like	like	ADP
cana-690	124	18	vgg	vgg	PROPN
cana-690	124	19	's	's	PART
cana-690	124	20	,	,	PUNCT
cana-690	124	21	xception	xception	PROPN
cana-690	124	22	,	,	PUNCT
cana-690	124	23	etc	etc	X
cana-690	124	24	.	.	X
cana-690	125	1	this	this	PRON
cana-690	125	2	describes	describe	VERB
cana-690	125	3	the	the	DET
cana-690	125	4	usage	usage	NOUN
cana-690	125	5	of	of	ADP
cana-690	125	6	cnns	cnn	NOUN
cana-690	125	7	.	.	PUNCT
cana-690	126	1	the	the	DET
cana-690	126	2	accuracy	accuracy	NOUN
cana-690	126	3	vs.	vs.	ADP
cana-690	126	4	epochs	epoch	NOUN
cana-690	126	5	plot	plot	NOUN
cana-690	126	6	for	for	ADP
cana-690	126	7	the	the	DET
cana-690	126	8	cnn	cnn	PROPN
cana-690	126	9	architecture	architecture	NOUN
cana-690	126	10	can	can	AUX
cana-690	126	11	be	be	AUX
cana-690	126	12	seen	see	VERB
cana-690	126	13	in	in	ADP
cana-690	126	14	the	the	DET
cana-690	126	15	graph	graph	NOUN
cana-690	126	16	below	below	ADV
cana-690	126	17	.	.	PUNCT
cana-690	127	1	figure3	figure3	NOUN
cana-690	127	2	.	.	PUNCT
cana-690	128	1	accuracy	accuracy	NOUN
cana-690	128	2	vs	vs	ADP
cana-690	128	3	epochs	epoch	NOUN
cana-690	128	4	graph	graph	NOUN
cana-690	128	5	for	for	ADP
cana-690	128	6	cnn	cnn	PROPN
cana-690	128	7	model	model	NOUN
cana-690	128	8	using	use	VERB
cana-690	128	9	the	the	DET
cana-690	128	10	same	same	ADJ
cana-690	128	11	cnn	cnn	NOUN
cana-690	128	12	architecture	architecture	NOUN
cana-690	128	13	,	,	PUNCT
cana-690	128	14	the	the	DET
cana-690	128	15	four	four	NUM
cana-690	128	16	-	-	PUNCT
cana-690	128	17	class	class	NOUN
cana-690	128	18	classification	classification	NOUN
cana-690	128	19	accuracy	accuracy	NOUN
cana-690	128	20	(	(	PUNCT
cana-690	128	21	happy	happy	ADJ
cana-690	128	22	,	,	PUNCT
cana-690	128	23	neu	neu	NOUN
cana-690	128	24	-	-	NOUN
cana-690	128	25	tral	tral	ADJ
cana-690	128	26	,	,	PUNCT
cana-690	128	27	furious	furious	ADJ
cana-690	128	28	,	,	PUNCT
cana-690	128	29	and	and	CCONJ
cana-690	128	30	sad	sad	ADJ
cana-690	128	31	)	)	PUNCT
cana-690	128	32	increases	increase	NOUN
cana-690	128	33	from	from	ADP
cana-690	128	34	64.46	64.46	NUM
cana-690	128	35	%	%	NOUN
cana-690	128	36	to	to	ADP
cana-690	128	37	74.68	74.68	NUM
cana-690	128	38	%	%	NOUN
cana-690	128	39	.	.	PUNCT
cana-690	129	1	the	the	DET
cana-690	129	2	ensemble	ensemble	ADJ
cana-690	129	3	approach	approach	NOUN
cana-690	129	4	yields	yield	VERB
cana-690	129	5	good	good	ADJ
cana-690	129	6	results	result	NOUN
cana-690	129	7	because	because	SCONJ
cana-690	129	8	it	it	PRON
cana-690	129	9	trains	train	VERB
cana-690	129	10	the	the	DET
cana-690	129	11	model	model	NOUN
cana-690	129	12	separately	separately	ADV
cana-690	129	13	for	for	ADP
cana-690	129	14	each	each	DET
cana-690	129	15	emotion	emotion	NOUN
cana-690	129	16	class	class	NOUN
cana-690	129	17	before	before	ADP
cana-690	129	18	merging	merge	VERB
cana-690	129	19	it	it	PRON
cana-690	129	20	to	to	PART
cana-690	129	21	make	make	VERB
cana-690	129	22	predictions	prediction	NOUN
cana-690	129	23	based	base	VERB
cana-690	129	24	on	on	ADP
cana-690	129	25	test	test	NOUN
cana-690	129	26	data	datum	NOUN
cana-690	129	27	.	.	PUNCT
cana-690	130	1	with	with	ADP
cana-690	130	2	an	an	DET
cana-690	130	3	accuracy	accuracy	NOUN
cana-690	130	4	rate	rate	NOUN
cana-690	130	5	of	of	ADP
cana-690	130	6	74.3	74.3	NUM
cana-690	130	7	%	%	NOUN
cana-690	130	8	for	for	ADP
cana-690	130	9	the	the	DET
cana-690	130	10	five	five	NUM
cana-690	130	11	emotion	emotion	NOUN
cana-690	130	12	categories	category	NOUN
cana-690	130	13	,	,	PUNCT
cana-690	130	14	the	the	DET
cana-690	130	15	model	model	NOUN
cana-690	130	16	surpassed	surpass	VERB
cana-690	130	17	the	the	DET
cana-690	130	18	top	top	ADJ
cana-690	130	19	cnn	cnn	PROPN
cana-690	130	20	model	model	NOUN
cana-690	130	21	for	for	ADP
cana-690	130	22	both	both	CCONJ
cana-690	130	23	the	the	DET
cana-690	130	24	four	four	NUM
cana-690	130	25	and	and	CCONJ
cana-690	130	26	the	the	DET
cana-690	130	27	seven	seven	NUM
cana-690	130	28	emotion	emotion	NOUN
cana-690	130	29	categories	category	NOUN
cana-690	130	30	(	(	PUNCT
cana-690	130	31	sad	sad	ADJ
cana-690	130	32	,	,	PUNCT
cana-690	130	33	happy	happy	ADJ
cana-690	130	34	,	,	PUNCT
cana-690	130	35	surprised	surprised	ADJ
cana-690	130	36	,	,	PUNCT
cana-690	130	37	furious	furious	ADJ
cana-690	130	38	,	,	PUNCT
cana-690	130	39	and	and	CCONJ
cana-690	130	40	neutral	neutral	ADJ
cana-690	130	41	)	)	PUNCT
cana-690	130	42	.	.	PUNCT
cana-690	131	1	this	this	DET
cana-690	131	2	method	method	NOUN
cana-690	131	3	of	of	ADP
cana-690	131	4	combining	combine	VERB
cana-690	131	5	different	different	ADJ
cana-690	131	6	cnns	cnn	NOUN
cana-690	131	7	produces	produce	VERB
cana-690	131	8	top	top	ADJ
cana-690	131	9	-	-	PUNCT
cana-690	131	10	notch	notch	NOUN
cana-690	131	11	results	result	NOUN
cana-690	131	12	while	while	SCONJ
cana-690	131	13	using	use	VERB
cana-690	131	14	the	the	DET
cana-690	131	15	same	same	ADJ
cana-690	131	16	cnn	cnn	NOUN
cana-690	131	17	architecture	architecture	NOUN
cana-690	131	18	.	.	PUNCT
cana-690	132	1	communications	communication	NOUN
cana-690	132	2	on	on	ADP
cana-690	132	3	applied	apply	VERB
cana-690	132	4	nonlinear	nonlinear	ADJ
cana-690	132	5	analysis	analysis	NOUN
cana-690	132	6	issn	issn	NOUN
cana-690	132	7	:	:	PUNCT
cana-690	132	8	1074	1074	NUM
cana-690	132	9	-	-	PUNCT
cana-690	132	10	133x	133x	NUM
cana-690	132	11	vol	vol	NOUN
cana-690	132	12	31	31	NUM
cana-690	132	13	no	no	NOUN
cana-690	132	14	.	.	PUNCT
cana-690	133	1	2s	2s	NUM
cana-690	133	2	(	(	PUNCT
cana-690	133	3	2024	2024	NUM
cana-690	133	4	)	)	PUNCT
cana-690	133	5	637	637	NUM
cana-690	133	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-690	133	7	5	5	NUM
cana-690	133	8	.	.	X
cana-690	133	9	conclusion	conclusion	NOUN
cana-690	133	10	these	these	DET
cana-690	133	11	findings	finding	NOUN
cana-690	133	12	indicate	indicate	VERB
cana-690	133	13	positive	positive	ADJ
cana-690	133	14	outcomes	outcome	NOUN
cana-690	133	15	.	.	PUNCT
cana-690	134	1	the	the	DET
cana-690	134	2	device	device	NOUN
cana-690	134	3	's	's	PART
cana-690	134	4	exceptional	exceptional	ADJ
cana-690	134	5	precision	precision	NOUN
cana-690	134	6	and	and	CCONJ
cana-690	134	7	rapid	rapid	ADJ
cana-690	134	8	response	response	NOUN
cana-690	134	9	make	make	VERB
cana-690	134	10	it	it	PRON
cana-690	134	11	well	well	ADV
cana-690	134	12	-	-	PUNCT
cana-690	134	13	suited	suit	VERB
cana-690	134	14	for	for	ADP
cana-690	134	15	a	a	DET
cana-690	134	16	wide	wide	ADJ
cana-690	134	17	range	range	NOUN
cana-690	134	18	of	of	ADP
cana-690	134	19	practical	practical	ADJ
cana-690	134	20	applications	application	NOUN
cana-690	134	21	.	.	PUNCT
cana-690	135	1	utilizing	utilize	VERB
cana-690	135	2	the	the	DET
cana-690	135	3	opencv	opencv	PROPN
cana-690	135	4	module	module	NOUN
cana-690	135	5	for	for	ADP
cana-690	135	6	initial	initial	ADJ
cana-690	135	7	face	face	NOUN
cana-690	135	8	extraction	extraction	NOUN
cana-690	135	9	followed	follow	VERB
cana-690	135	10	by	by	ADP
cana-690	135	11	emotion	emotion	NOUN
cana-690	135	12	detection	detection	NOUN
cana-690	135	13	enhances	enhance	VERB
cana-690	135	14	system	system	NOUN
cana-690	135	15	performance	performance	NOUN
cana-690	135	16	across	across	ADP
cana-690	135	17	various	various	ADJ
cana-690	135	18	data	datum	NOUN
cana-690	135	19	types	type	NOUN
cana-690	135	20	.	.	PUNCT
cana-690	136	1	in	in	ADP
cana-690	136	2	this	this	DET
cana-690	136	3	study	study	NOUN
cana-690	136	4	,	,	PUNCT
cana-690	136	5	a	a	DET
cana-690	136	6	cnn	cnn	PROPN
cana-690	136	7	model	model	NOUN
cana-690	136	8	is	be	AUX
cana-690	136	9	employed	employ	VERB
cana-690	136	10	with	with	ADP
cana-690	136	11	three	three	NUM
cana-690	136	12	blocks	block	NOUN
cana-690	136	13	comprising	comprise	VERB
cana-690	136	14	conv2d	conv2d	NOUN
cana-690	136	15	,	,	PUNCT
cana-690	136	16	batch	batch	VERB
cana-690	136	17	normalization	normalization	NOUN
cana-690	136	18	,	,	PUNCT
cana-690	136	19	maxpooling2d	maxpooling2d	PROPN
cana-690	136	20	,	,	PUNCT
cana-690	136	21	and	and	CCONJ
cana-690	136	22	dropout	dropout	NOUN
cana-690	136	23	layers	layer	NOUN
cana-690	136	24	.	.	PUNCT
cana-690	137	1	the	the	DET
cana-690	137	2	pooling	pool	VERB
cana-690	137	3	layers	layer	NOUN
cana-690	137	4	effectively	effectively	ADV
cana-690	137	5	reduce	reduce	VERB
cana-690	137	6	image	image	NOUN
cana-690	137	7	size	size	NOUN
cana-690	137	8	by	by	ADP
cana-690	137	9	half	half	NOUN
cana-690	137	10	while	while	SCONJ
cana-690	137	11	preserving	preserve	VERB
cana-690	137	12	essential	essential	ADJ
cana-690	137	13	components	component	NOUN
cana-690	137	14	,	,	PUNCT
cana-690	137	15	enhancing	enhance	VERB
cana-690	137	16	visualization	visualization	NOUN
cana-690	137	17	without	without	ADP
cana-690	137	18	compromising	compromise	VERB
cana-690	137	19	quality	quality	NOUN
cana-690	137	20	.	.	PUNCT
cana-690	138	1	the	the	DET
cana-690	138	2	proposed	propose	VERB
cana-690	138	3	cnn	cnn	PROPN
cana-690	138	4	architectures	architecture	NOUN
cana-690	138	5	achieve	achieve	VERB
cana-690	138	6	accuracies	accuracy	NOUN
cana-690	138	7	of	of	ADP
cana-690	138	8	65.58	65.58	NUM
cana-690	138	9	%	%	NOUN
cana-690	138	10	and	and	CCONJ
cana-690	138	11	74.58	74.58	NUM
cana-690	138	12	%	%	NOUN
cana-690	138	13	for	for	ADP
cana-690	138	14	seven	seven	NUM
cana-690	138	15	-	-	PUNCT
cana-690	138	16	class	class	NOUN
cana-690	138	17	and	and	CCONJ
cana-690	138	18	four	four	NUM
cana-690	138	19	-	-	PUNCT
cana-690	138	20	class	class	NOUN
cana-690	138	21	emotion	emotion	NOUN
cana-690	138	22	recognition	recognition	NOUN
cana-690	138	23	,	,	PUNCT
cana-690	138	24	respectively	respectively	ADV
cana-690	138	25	.	.	PUNCT
cana-690	139	1	incorporating	incorporate	VERB
cana-690	139	2	an	an	DET
cana-690	139	3	ensemble	ensemble	ADJ
cana-690	139	4	approach	approach	NOUN
cana-690	139	5	significantly	significantly	ADV
cana-690	139	6	boosts	boost	VERB
cana-690	139	7	model	model	NOUN
cana-690	139	8	accuracy	accuracy	NOUN
cana-690	139	9	,	,	PUNCT
cana-690	139	10	resulting	result	VERB
cana-690	139	11	in	in	ADP
cana-690	139	12	74.3	74.3	NUM
cana-690	139	13	%	%	NOUN
cana-690	139	14	accuracy	accuracy	NOUN
cana-690	139	15	and	and	CCONJ
cana-690	139	16	a	a	DET
cana-690	139	17	0.753	0.753	NUM
cana-690	139	18	f1	f1	NOUN
cana-690	139	19	-	-	PUNCT
cana-690	139	20	score	score	NOUN
cana-690	139	21	for	for	ADP
cana-690	139	22	five	five	NUM
cana-690	139	23	-	-	PUNCT
cana-690	139	24	class	class	NOUN
cana-690	139	25	classifications	classification	NOUN
cana-690	139	26	.	.	PUNCT
cana-690	140	1	future	future	ADJ
cana-690	140	2	endeavors	endeavor	NOUN
cana-690	140	3	will	will	AUX
cana-690	140	4	focus	focus	VERB
cana-690	140	5	on	on	ADP
cana-690	140	6	expanding	expand	VERB
cana-690	140	7	the	the	DET
cana-690	140	8	range	range	NOUN
cana-690	140	9	of	of	ADP
cana-690	140	10	emotions	emotion	NOUN
cana-690	140	11	and	and	CCONJ
cana-690	140	12	refining	refine	VERB
cana-690	140	13	emotion	emotion	NOUN
cana-690	140	14	parameters	parameter	NOUN
cana-690	140	15	to	to	PART
cana-690	140	16	yield	yield	VERB
cana-690	140	17	improved	improved	ADJ
cana-690	140	18	results	result	NOUN
cana-690	140	19	and	and	CCONJ
cana-690	140	20	predictions	prediction	NOUN
cana-690	140	21	,	,	PUNCT
cana-690	140	22	along	along	ADP
cana-690	140	23	with	with	ADP
cana-690	140	24	exploring	explore	VERB
cana-690	140	25	more	more	ADV
cana-690	140	26	accurate	accurate	ADJ
cana-690	140	27	datasets	dataset	NOUN
cana-690	140	28	to	to	PART
cana-690	140	29	further	far	ADV
cana-690	140	30	enhance	enhance	VERB
cana-690	140	31	accuracy	accuracy	NOUN
cana-690	140	32	.	.	PUNCT
cana-690	141	1	refrences	refrence	VERB
cana-690	142	1	[	[	X
cana-690	142	2	1	1	X
cana-690	142	3	]	]	PUNCT
cana-690	142	4	m.	m.	NOUN
cana-690	142	5	chen	chen	PROPN
cana-690	142	6	,	,	PUNCT
cana-690	142	7	f.	f.	PROPN
cana-690	142	8	herrera	herrera	PROPN
cana-690	142	9	,	,	PUNCT
cana-690	142	10	k.	k.	PROPN
cana-690	142	11	hwang,"cognitive	hwang,"cognitive	PROPN
cana-690	142	12	computing	computing	NOUN
cana-690	142	13	:	:	PUNCT
cana-690	142	14	architecture	architecture	NOUN
cana-690	142	15	,	,	PUNCT
cana-690	142	16	technologies	technology	NOUN
cana-690	142	17	and	and	CCONJ
cana-690	142	18	intelligent	intelligent	ADJ
cana-690	142	19	applications	application	NOUN
cana-690	142	20	"	"	PUNCT
cana-690	142	21	,	,	PUNCT
cana-690	142	22	ieee	ieee	NOUN
cana-690	142	23	access	access	NOUN
cana-690	142	24	,	,	PUNCT
cana-690	142	25	vol	vol	NOUN
cana-690	142	26	6	6	NUM
cana-690	142	27	,	,	PUNCT
cana-690	142	28	pp	pp	ADJ
cana-690	142	29	.	.	PUNCT
cana-690	143	1	19774–19783	19774–19783	NUM
cana-690	143	2	,	,	PUNCT
cana-690	143	3	jan	jan	PROPN
cana-690	143	4	2018	2018	NUM
cana-690	143	5	.	.	PUNCT
cana-690	144	1	[	[	X
cana-690	144	2	2	2	NUM
cana-690	144	3	]	]	PUNCT
cana-690	144	4	m.	m.	NOUN
cana-690	144	5	alhussein	alhussein	NOUN
cana-690	144	6	,	,	PUNCT
cana-690	144	7	g.	g.	PROPN
cana-690	144	8	muhammad	muhammad	PROPN
cana-690	144	9	,	,	PUNCT
cana-690	144	10	m.s	m.s	PROPN
cana-690	144	11	.	.	PROPN
cana-690	144	12	hossain	hossain	PROPN
cana-690	144	13	,	,	PUNCT
cana-690	144	14	s.u	s.u	PROPN
cana-690	144	15	.	.	PROPN
cana-690	144	16	amin	amin	PROPN
cana-690	144	17	,	,	PUNCT
cana-690	144	18	"	"	PUNCT
cana-690	144	19	cognitive	cognitive	ADJ
cana-690	144	20	iot	iot	NOUN
cana-690	144	21	-	-	PUNCT
cana-690	144	22	cloud	cloud	NOUN
cana-690	144	23	in	in	ADP
cana-690	144	24	-	-	PUNCT
cana-690	144	25	tegration	tegration	NOUN
cana-690	144	26	for	for	ADP
cana-690	144	27	smart	smart	ADJ
cana-690	144	28	healthcare	healthcare	NOUN
cana-690	144	29	:	:	PUNCT
cana-690	144	30	case	case	NOUN
cana-690	144	31	study	study	NOUN
cana-690	144	32	for	for	ADP
cana-690	144	33	epileptic	epileptic	ADJ
cana-690	144	34	seizure	seizure	NOUN
cana-690	144	35	detection	detection	NOUN
cana-690	144	36	and	and	CCONJ
cana-690	144	37	moni	moni	NOUN
cana-690	144	38	-	-	PUNCT
cana-690	144	39	toring	tore	VERB
cana-690	144	40	"	"	PUNCT
cana-690	144	41	,	,	PUNCT
cana-690	144	42	mob	mob	NOUN
cana-690	144	43	netwappl	netwappl	NOUN
cana-690	144	44	,	,	PUNCT
cana-690	144	45	vol	vol	NOUN
cana-690	144	46	.	.	PROPN
cana-690	144	47	23	23	NUM
cana-690	144	48	,	,	PUNCT
cana-690	144	49	pp	pp	ADJ
cana-690	144	50	.	.	PUNCT
cana-690	144	51	1624–1635	1624–1635	NUM
cana-690	144	52	,	,	PUNCT
cana-690	144	53	sep	sep	PROPN
cana-690	144	54	2018	2018	NUM
cana-690	144	55	.	.	PUNCT
cana-690	145	1	[	[	X
cana-690	145	2	3	3	X
cana-690	145	3	]	]	X
cana-690	145	4	s.	s.	PROPN
cana-690	145	5	gupta	gupta	PROPN
cana-690	145	6	,	,	PUNCT
cana-690	145	7	a.k	a.k	PROPN
cana-690	145	8	.	.	PROPN
cana-690	145	9	kar	kar	PROPN
cana-690	145	10	,	,	PUNCT
cana-690	145	11	a.	a.	PROPN
cana-690	145	12	baabdullah	baabdullah	PROPN
cana-690	145	13	,	,	PUNCT
cana-690	145	14	a.a	a.a	PROPN
cana-690	145	15	.	.	PROPN
cana-690	145	16	wassan	wassan	PROPN
cana-690	145	17	,	,	PUNCT
cana-690	145	18	al	al	PROPN
cana-690	145	19	.	.	PROPN
cana-690	145	20	khowaiter	khowaiter	PROPN
cana-690	145	21	,	,	PUNCT
cana-690	145	22	"	"	PUNCT
cana-690	145	23	big	big	ADJ
cana-690	145	24	data	datum	NOUN
cana-690	145	25	with	with	ADP
cana-690	145	26	cognitive	cognitive	ADJ
cana-690	145	27	computing	computing	NOUN
cana-690	145	28	:	:	PUNCT
cana-690	145	29	a	a	DET
cana-690	145	30	review	review	NOUN
cana-690	145	31	for	for	ADP
cana-690	145	32	the	the	DET
cana-690	145	33	future	future	NOUN
cana-690	145	34	"	"	PUNCT
cana-690	145	35	,	,	PUNCT
cana-690	145	36	international	international	ADJ
cana-690	145	37	journal	journal	NOUN
cana-690	145	38	of	of	ADP
cana-690	145	39	information	information	NOUN
cana-690	145	40	management	management	NOUN
cana-690	145	41	,	,	PUNCT
cana-690	145	42	vol	vol	NOUN
cana-690	145	43	.	.	PROPN
cana-690	145	44	69	69	NUM
cana-690	145	45	,	,	PUNCT
cana-690	145	46	pp	pp	ADJ
cana-690	145	47	.	.	PUNCT
cana-690	146	1	78–89	78–89	NUM
cana-690	146	2	,	,	PUNCT
cana-690	146	3	oct	oct	PROPN
cana-690	146	4	2018	2018	NUM
cana-690	146	5	.	.	PUNCT
cana-690	147	1	[	[	X
cana-690	147	2	4	4	X
cana-690	147	3	]	]	X
cana-690	147	4	h.	h.	PROPN
cana-690	147	5	xu	xu	PROPN
cana-690	147	6	,	,	PUNCT
cana-690	147	7	w.	w.	PROPN
cana-690	147	8	yu	yu	PROPN
cana-690	147	9	,	,	PUNCT
cana-690	147	10	d.	d.	PROPN
cana-690	147	11	grifth	grifth	PROPN
cana-690	147	12	,	,	PUNCT
cana-690	147	13	n.	n.	NOUN
cana-690	147	14	golmie	golmie	PROPN
cana-690	147	15	.	.	PUNCT
cana-690	147	16	,	,	PUNCT
cana-690	147	17	"	"	PUNCT
cana-690	147	18	a	a	DET
cana-690	147	19	survey	survey	NOUN
cana-690	147	20	on	on	ADP
cana-690	147	21	industrial	industrial	ADJ
cana-690	147	22	internet	internet	NOUN
cana-690	147	23	of	of	ADP
cana-690	147	24	things	thing	NOUN
cana-690	147	25	:	:	PUNCT
cana-690	147	26	a	a	DET
cana-690	147	27	cyber	cyber	NOUN
cana-690	147	28	-	-	PUNCT
cana-690	147	29	physical	physical	ADJ
cana-690	147	30	systems	system	NOUN
cana-690	147	31	perspective	perspective	NOUN
cana-690	147	32	"	"	PUNCT
cana-690	147	33	,	,	PUNCT
cana-690	147	34	ieee	ieee	NOUN
cana-690	147	35	access	access	NOUN
cana-690	147	36	,	,	PUNCT
cana-690	147	37	vol	vol	NOUN
cana-690	147	38	.	.	PROPN
cana-690	147	39	6	6	NUM
cana-690	147	40	,	,	PUNCT
cana-690	147	41	pp	pp	ADJ
cana-690	147	42	.	.	PUNCT
cana-690	148	1	78238–78259	78238–78259	NUM
cana-690	148	2	,	,	PUNCT
cana-690	148	3	dec	dec	PROPN
cana-690	148	4	.	.	PROPN
cana-690	148	5	2018	2018	NUM
cana-690	148	6	[	[	X
cana-690	148	7	5	5	NUM
cana-690	148	8	]	]	PUNCT
cana-690	148	9	a.	a.	NOUN
cana-690	148	10	sheth	sheth	PROPN
cana-690	148	11	,	,	PUNCT
cana-690	148	12	"	"	PUNCT
cana-690	148	13	internet	internet	NOUN
cana-690	148	14	of	of	ADP
cana-690	148	15	things	thing	NOUN
cana-690	148	16	to	to	PART
cana-690	148	17	smart	smart	VERB
cana-690	148	18	iot	iot	NOUN
cana-690	148	19	through	through	ADP
cana-690	148	20	semantic	semantic	ADJ
cana-690	148	21	,	,	PUNCT
cana-690	148	22	cognitive	cognitive	ADJ
cana-690	148	23	,	,	PUNCT
cana-690	148	24	and	and	CCONJ
cana-690	148	25	perceptual	perceptual	ADJ
cana-690	148	26	computing	computing	NOUN
cana-690	148	27	"	"	PUNCT
cana-690	148	28	,	,	PUNCT
cana-690	148	29	ieee	ieee	NOUN
cana-690	148	30	intelligent	intelligent	ADJ
cana-690	148	31	systems	system	NOUN
cana-690	148	32	,	,	PUNCT
cana-690	148	33	vol	vol	NOUN
cana-690	148	34	.	.	PUNCT
cana-690	149	1	31(2	31(2	NUM
cana-690	149	2	)	)	PUNCT
cana-690	149	3	,	,	PUNCT
cana-690	149	4	pp	pp	ADP
cana-690	149	5	.	.	PUNCT
cana-690	150	1	108–112	108–112	NUM
cana-690	150	2	,	,	PUNCT
cana-690	150	3	mar.-apr	mar.-apr	NOUN
cana-690	150	4	.	.	PUNCT
cana-690	150	5	2016	2016	NUM
cana-690	150	6	.	.	PUNCT
cana-690	151	1	[	[	X
cana-690	151	2	6	6	NUM
cana-690	151	3	]	]	PUNCT
cana-690	151	4	p.	p.	NOUN
cana-690	151	5	vlacheas	vlacheas	PROPN
cana-690	151	6	,	,	PUNCT
cana-690	151	7	r.	r.	PROPN
cana-690	151	8	giafreda	giafreda	PROPN
cana-690	151	9	,	,	PUNCT
cana-690	151	10	v.	v.	ADP
cana-690	151	11	stavroulaki	stavroulaki	PROPN
cana-690	151	12	,	,	PUNCT
cana-690	151	13	d.	d.	PROPN
cana-690	151	14	kelaidonis	kelaidonis	PROPN
cana-690	151	15	,	,	PUNCT
cana-690	151	16	v.	v.	ADP
cana-690	151	17	foteinos	foteino	NOUN
cana-690	151	18	,	,	PUNCT
cana-690	151	19	g.	g.	PROPN
cana-690	151	20	poulios	poulios	PROPN
cana-690	151	21	,	,	PUNCT
cana-690	151	22	p.	p.	PROPN
cana-690	151	23	demestichas	demestichas	PROPN
cana-690	151	24	,	,	PUNCT
cana-690	151	25	a.	a.	PROPN
cana-690	151	26	somov	somov	PROPN
cana-690	151	27	,	,	PUNCT
cana-690	151	28	a.r	a.r	PROPN
cana-690	151	29	.	.	PROPN
cana-690	151	30	biswas	biswas	PROPN
cana-690	151	31	,	,	PUNCT
cana-690	151	32	k.	k.	PROPN
cana-690	151	33	moessner	moessner	PROPN
cana-690	151	34	,	,	PUNCT
cana-690	151	35	"	"	PUNCT
cana-690	151	36	enabling	enable	VERB
cana-690	151	37	smart	smart	ADJ
cana-690	151	38	cities	city	NOUN
cana-690	151	39	through	through	ADP
cana-690	151	40	a	a	DET
cana-690	151	41	cognitive	cognitive	ADJ
cana-690	151	42	management	management	NOUN
cana-690	151	43	framework	framework	NOUN
cana-690	151	44	for	for	ADP
cana-690	151	45	the	the	DET
cana-690	151	46	internet	internet	NOUN
cana-690	151	47	of	of	ADP
cana-690	151	48	things	thing	NOUN
cana-690	151	49	"	"	PUNCT
cana-690	151	50	,	,	PUNCT
cana-690	151	51	ieee	ieee	NOUN
cana-690	151	52	communications	communication	NOUN
cana-690	151	53	magazine	magazine	NOUN
cana-690	151	54	,	,	PUNCT
cana-690	151	55	vol	vol	NOUN
cana-690	151	56	.	.	PROPN
cana-690	151	57	51	51	NUM
cana-690	151	58	,	,	PUNCT
cana-690	151	59	pp	pp	ADJ
cana-690	151	60	.	.	PUNCT
cana-690	152	1	102–111	102–111	NUM
cana-690	152	2	,	,	PUNCT
cana-690	152	3	june	june	PROPN
cana-690	152	4	2013	2013	NUM
cana-690	152	5	.	.	PUNCT
cana-690	153	1	[	[	X
cana-690	153	2	7	7	NUM
cana-690	153	3	]	]	PUNCT
cana-690	153	4	ekman	ekman	PROPN
cana-690	153	5	,	,	PUNCT
cana-690	153	6	paul	paul	PROPN
cana-690	153	7	,	,	PUNCT
cana-690	153	8	and	and	CCONJ
cana-690	153	9	wallace	wallace	PROPN
cana-690	153	10	v.	v.	PROPN
cana-690	153	11	friesen	friesen	PROPN
cana-690	153	12	.	.	PUNCT
cana-690	154	1	”	"	PUNCT
cana-690	154	2	constants	constant	NOUN
cana-690	154	3	across	across	ADP
cana-690	154	4	cultures	culture	NOUN
cana-690	154	5	in	in	ADP
cana-690	154	6	the	the	DET
cana-690	154	7	face	face	NOUN
cana-690	154	8	and	and	CCONJ
cana-690	154	9	emotion	emotion	NOUN
cana-690	154	10	.	.	PUNCT
cana-690	154	11	”	"	PUNCT
cana-690	155	1	journal	journal	NOUN
cana-690	155	2	of	of	ADP
cana-690	155	3	personality	personality	NOUN
cana-690	155	4	and	and	CCONJ
cana-690	155	5	social	social	ADJ
cana-690	155	6	psychology	psychology	NOUN
cana-690	155	7	17.2	17.2	NUM
cana-690	155	8	:	:	SYM
cana-690	155	9	124	124	NUM
cana-690	155	10	,	,	PUNCT
cana-690	155	11	1971	1971	NUM
cana-690	155	12	.	.	PUNCT
cana-690	156	1	[	[	X
cana-690	156	2	8	8	NUM
cana-690	156	3	]	]	PUNCT
cana-690	156	4	x.	x.	NOUN
cana-690	157	1	p.	p.	PROPN
cana-690	157	2	burgos	burgos	PROPN
cana-690	157	3	-	-	PUNCT
cana-690	157	4	artizzu	artizzu	PROPN
cana-690	157	5	,	,	PUNCT
cana-690	157	6	p.	p.	NOUN
cana-690	157	7	perona	perona	PROPN
cana-690	157	8	,	,	PUNCT
cana-690	157	9	and	and	CCONJ
cana-690	157	10	p.	p.	NOUN
cana-690	157	11	dollar	dollar	NOUN
cana-690	157	12	.	.	PUNCT
cana-690	158	1	robust	robust	ADJ
cana-690	158	2	face	face	NOUN
cana-690	158	3	landmark	landmark	PROPN
cana-690	158	4	´	´	PROPN
cana-690	158	5	estimation	estimation	NOUN
cana-690	158	6	under	under	ADP
cana-690	158	7	occlusion	occlusion	NOUN
cana-690	158	8	.	.	PUNCT
cana-690	159	1	in	in	ADP
cana-690	159	2	proc	proc	PROPN
cana-690	159	3	.	.	PUNCT
cana-690	160	1	int	int	NOUN
cana-690	160	2	.	.	PUNCT
cana-690	160	3	conf	conf	PROPN
cana-690	160	4	.	.	PUNCT
cana-690	161	1	comput	comput	NOUN
cana-690	161	2	.	.	PUNCT
cana-690	162	1	vision	vision	NOUN
cana-690	162	2	,	,	PUNCT
cana-690	162	3	pages	page	NOUN
cana-690	162	4	1513–1520	1513–1520	NUM
cana-690	162	5	.	.	PUNCT
cana-690	163	1	ieee	ieee	PROPN
cana-690	163	2	,	,	PUNCT
cana-690	163	3	2013	2013	NUM
cana-690	163	4	.	.	PUNCT
cana-690	164	1	[	[	X
cana-690	164	2	9	9	NUM
cana-690	164	3	]	]	X
cana-690	164	4	d.	d.	PROPN
cana-690	164	5	e.	e.	PROPN
cana-690	164	6	king	king	PROPN
cana-690	164	7	.	.	PUNCT
cana-690	165	1	dlib	dlib	NOUN
cana-690	165	2	-	-	PUNCT
cana-690	165	3	ml	ml	NOUN
cana-690	165	4	:	:	PUNCT
cana-690	165	5	a	a	DET
cana-690	165	6	machine	machine	NOUN
cana-690	165	7	learning	learn	VERB
cana-690	165	8	toolkit	toolkit	NOUN
cana-690	165	9	.	.	PUNCT
cana-690	166	1	j.	j.	PROPN
cana-690	166	2	mach	mach	PROPN
cana-690	166	3	.	.	PUNCT
cana-690	167	1	learning	learn	VERB
cana-690	167	2	research	research	NOUN
cana-690	167	3	,	,	PUNCT
cana-690	167	4	10(jul):1755–1758	10(jul):1755–1758	NUM
cana-690	167	5	,	,	PUNCT
cana-690	167	6	2009	2009	NUM
cana-690	167	7	.	.	PUNCT
cana-690	168	1	[	[	X
cana-690	168	2	10	10	NUM
cana-690	168	3	]	]	X
cana-690	168	4	y.	y.	PROPN
cana-690	168	5	wu	wu	PROPN
cana-690	168	6	,	,	PUNCT
cana-690	168	7	t.	t.	PROPN
cana-690	168	8	hassner	hassner	PROPN
cana-690	168	9	,	,	PUNCT
cana-690	168	10	k.	k.	PROPN
cana-690	168	11	kim	kim	PROPN
cana-690	168	12	,	,	PUNCT
cana-690	168	13	g.	g.	PROPN
cana-690	168	14	medioni	medioni	PROPN
cana-690	168	15	,	,	PUNCT
cana-690	168	16	and	and	CCONJ
cana-690	168	17	p.	p.	PROPN
cana-690	168	18	natarajan	natarajan	PROPN
cana-690	168	19	.	.	PUNCT
cana-690	169	1	facial	facial	ADJ
cana-690	169	2	landmark	landmark	NOUN
cana-690	169	3	detection	detection	NOUN
cana-690	169	4	with	with	ADP
cana-690	169	5	tweaked	tweak	VERB
cana-690	169	6	convolutional	convolutional	ADJ
cana-690	169	7	neural	neural	ADJ
cana-690	169	8	networks	network	NOUN
cana-690	169	9	.	.	PUNCT
cana-690	170	1	ieee	ieee	NOUN
cana-690	170	2	transactions	transaction	NOUN
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cana-690	170	4	pattern	pattern	NOUN
cana-690	170	5	analysis	analysis	NOUN
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cana-690	170	7	machine	machine	NOUN
cana-690	170	8	intelligence	intelligence	NOUN
cana-690	170	9	,	,	PUNCT
cana-690	170	10	2017	2017	NUM
cana-690	170	11	.	.	PUNCT
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cana-690	171	2	11	11	NUM
cana-690	171	3	]	]	PUNCT
cana-690	171	4	t.	t.	PROPN
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cana-690	171	8	robinson	robinson	PROPN
cana-690	171	9	,	,	PUNCT
cana-690	171	10	and	and	CCONJ
cana-690	171	11	l.-p	l.-p	PROPN
cana-690	171	12	.	.	PUNCT
cana-690	172	1	morency	morency	NOUN
cana-690	172	2	.	.	PUNCT
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cana-690	173	2	:	:	PUNCT
cana-690	173	3	an	an	DET
cana-690	173	4	open	open	ADJ
cana-690	173	5	ˇ	ˇ	NOUN
cana-690	173	6	source	source	NOUN
cana-690	173	7	facial	facial	ADJ
cana-690	173	8	behavior	behavior	NOUN
cana-690	173	9	analysis	analysis	NOUN
cana-690	173	10	toolkit	toolkit	NOUN
cana-690	173	11	.	.	PUNCT
cana-690	174	1	in	in	ADP
cana-690	174	2	winter	winter	NOUN
cana-690	174	3	conf	conf	NOUN
cana-690	174	4	.	.	PUNCT
cana-690	175	1	on	on	ADP
cana-690	175	2	app	app	PROPN
cana-690	175	3	.	.	PROPN
cana-690	176	1	of	of	ADP
cana-690	176	2	comput	comput	NOUN
cana-690	176	3	.	.	PUNCT
cana-690	177	1	vision	vision	NOUN
cana-690	177	2	,	,	PUNCT
cana-690	177	3	2016	2016	NUM
cana-690	177	4	.	.	PUNCT
cana-690	178	1	[	[	X
cana-690	178	2	12	12	NUM
cana-690	178	3	]	]	PUNCT
cana-690	178	4	a.	a.	NOUN
cana-690	178	5	zadeh	zadeh	PROPN
cana-690	178	6	,	,	PUNCT
cana-690	178	7	t.	t.	PROPN
cana-690	178	8	baltrusaitis	baltrusaitis	PROPN
cana-690	178	9	,	,	PUNCT
cana-690	178	10	and	and	CCONJ
cana-690	178	11	l.-p	l.-p	PROPN
cana-690	178	12	.	.	PUNCT
cana-690	179	1	morency	morency	NOUN
cana-690	179	2	.	.	PUNCT
cana-690	180	1	convolutional	convolutional	ADJ
cana-690	180	2	experts	expert	NOUN
cana-690	180	3	ˇ	ˇ	ADP
cana-690	180	4	constrained	constrain	VERB
cana-690	180	5	local	local	ADJ
cana-690	180	6	model	model	NOUN
cana-690	180	7	for	for	ADP
cana-690	180	8	facial	facial	ADJ
cana-690	180	9	landmark	landmark	NOUN
cana-690	180	10	detection	detection	NOUN
cana-690	180	11	.	.	PUNCT
cana-690	181	1	in	in	ADP
cana-690	181	2	proc	proc	PROPN
cana-690	181	3	.	.	PUNCT
cana-690	182	1	conf	conf	NOUN
cana-690	182	2	.	.	PUNCT
cana-690	183	1	comput	comput	NOUN
cana-690	183	2	.	.	PUNCT
cana-690	184	1	vision	vision	NOUN
cana-690	184	2	pattern	pattern	NOUN
cana-690	184	3	recognition	recognition	NOUN
cana-690	184	4	workshops	workshop	NOUN
cana-690	184	5	,	,	PUNCT
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cana-690	184	7	.	.	PUNCT
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cana-690	185	2	13	13	NUM
cana-690	185	3	]	]	PUNCT
cana-690	185	4	x.	x.	NOUN
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cana-690	185	7	z.	z.	PROPN
cana-690	185	8	lei	lei	PROPN
cana-690	185	9	,	,	PUNCT
cana-690	185	10	x.	x.	PROPN
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cana-690	185	12	,	,	PUNCT
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cana-690	185	16	and	and	CCONJ
cana-690	185	17	s.	s.	PROPN
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cana-690	185	19	.	.	PROPN
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cana-690	185	21	alignment	alignment	NOUN
cana-690	185	22	across	across	ADP
cana-690	185	23	large	large	ADJ
cana-690	185	24	poses	pose	NOUN
cana-690	185	25	:	:	PUNCT
cana-690	185	26	a	a	DET
cana-690	185	27	3d	3d	NUM
cana-690	185	28	solution	solution	NOUN
cana-690	185	29	.	.	PUNCT
cana-690	186	1	in	in	ADP
cana-690	186	2	proc	proc	PROPN
cana-690	186	3	.	.	PUNCT
cana-690	187	1	conf	conf	NOUN
cana-690	187	2	.	.	PUNCT
cana-690	188	1	comput	comput	NOUN
cana-690	188	2	.	.	PUNCT
cana-690	189	1	vision	vision	NOUN
cana-690	189	2	pattern	pattern	NOUN
cana-690	189	3	recognition	recognition	NOUN
cana-690	189	4	,	,	PUNCT
cana-690	189	5	las	las	PROPN
cana-690	189	6	vegas	vegas	PROPN
cana-690	189	7	,	,	PUNCT
cana-690	189	8	nv	nv	PROPN
cana-690	189	9	,	,	PUNCT
cana-690	189	10	june	june	PROPN
cana-690	189	11	2016	2016	NUM
cana-690	189	12	.	.	PUNCT
cana-690	190	1	[	[	X
cana-690	190	2	14	14	NUM
cana-690	190	3	]	]	X
cana-690	190	4	hough	hough	PROPN
cana-690	190	5	,	,	PUNCT
cana-690	190	6	paul	paul	PROPN
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cana-690	190	8	.	.	PUNCT
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cana-690	190	11	and	and	CCONJ
cana-690	190	12	means	mean	VERB
cana-690	190	13	for	for	ADP
cana-690	190	14	recognizing	recognize	VERB
cana-690	190	15	complex	complex	ADJ
cana-690	190	16	patterns	pattern	NOUN
cana-690	190	17	.	.	PUNCT
cana-690	190	18	”	"	PUNCT
cana-690	191	1	u.s	u.s	PROPN
cana-690	191	2	.	.	PROPN
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cana-690	191	4	3,069,654	3,069,654	NUM
cana-690	191	5	,	,	PUNCT
cana-690	191	6	issued	issue	VERB
cana-690	191	7	december	december	PROPN
cana-690	191	8	18	18	NUM
cana-690	191	9	,	,	PUNCT
cana-690	191	10	1962	1962	NUM
cana-690	191	11	.	.	PUNCT
cana-690	192	1	[	[	X
cana-690	192	2	15	15	NUM
cana-690	192	3	]	]	X
cana-690	192	4	shan	shan	PROPN
cana-690	192	5	,	,	PUNCT
cana-690	192	6	caifeng	caifeng	PROPN
cana-690	192	7	,	,	PUNCT
cana-690	192	8	shaogang	shaogang	PROPN
cana-690	192	9	gong	gong	PROPN
cana-690	192	10	,	,	PUNCT
cana-690	192	11	and	and	CCONJ
cana-690	192	12	peter	peter	PROPN
cana-690	192	13	w.	w.	PROPN
cana-690	192	14	mcowan	mcowan	PROPN
cana-690	192	15	.	.	PUNCT
cana-690	193	1	”	"	PUNCT
cana-690	193	2	facial	facial	ADJ
cana-690	193	3	expression	expression	NOUN
cana-690	193	4	recogni	recogni	NOUN
cana-690	193	5	-	-	PUNCT
cana-690	193	6	tion	tion	NOUN
cana-690	193	7	based	base	VERB
cana-690	193	8	on	on	ADP
cana-690	193	9	local	local	ADJ
cana-690	193	10	binary	binary	ADJ
cana-690	193	11	patterns	pattern	NOUN
cana-690	193	12	:	:	PUNCT
cana-690	193	13	a	a	DET
cana-690	193	14	comprehensive	comprehensive	ADJ
cana-690	193	15	study	study	NOUN
cana-690	193	16	.	.	PUNCT
cana-690	193	17	”	"	PUNCT
cana-690	194	1	image	image	NOUN
cana-690	194	2	and	and	CCONJ
cana-690	194	3	vision	vision	NOUN
cana-690	194	4	computing	compute	VERB
cana-690	194	5	27.6	27.6	NUM
cana-690	194	6	:	:	PUNCT
cana-690	194	7	803	803	NUM
cana-690	194	8	-	-	SYM
cana-690	194	9	816	816	NUM
cana-690	194	10	,	,	PUNCT
cana-690	194	11	2009	2009	NUM
cana-690	194	12	.	.	PUNCT
cana-690	195	1	communications	communication	NOUN
cana-690	195	2	on	on	ADP
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cana-690	195	4	nonlinear	nonlinear	ADJ
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cana-690	195	6	issn	issn	NOUN
cana-690	195	7	:	:	PUNCT
cana-690	195	8	1074	1074	NUM
cana-690	195	9	-	-	PUNCT
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cana-690	195	14	.	.	PUNCT
cana-690	196	1	2s	2s	NUM
cana-690	196	2	(	(	PUNCT
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cana-690	196	4	)	)	PUNCT
cana-690	196	5	638	638	NUM
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cana-690	197	1	[	[	X
cana-690	197	2	16	16	NUM
cana-690	197	3	]	]	X
cana-690	197	4	chen	chen	PROPN
cana-690	197	5	,	,	PUNCT
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cana-690	197	7	,	,	PUNCT
cana-690	197	8	zenghai	zenghai	PROPN
cana-690	197	9	chen	chen	PROPN
cana-690	197	10	,	,	PUNCT
cana-690	197	11	zheru	zheru	PROPN
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cana-690	197	13	,	,	PUNCT
cana-690	197	14	and	and	CCONJ
cana-690	197	15	hong	hong	PROPN
cana-690	197	16	fu	fu	PROPN
cana-690	197	17	.	.	PUNCT
cana-690	198	1	”	"	PUNCT
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cana-690	198	3	expression	expression	NOUN
cana-690	198	4	recognition	recognition	NOUN
cana-690	198	5	based	base	VERB
cana-690	198	6	on	on	ADP
cana-690	198	7	facial	facial	ADJ
cana-690	198	8	components	component	NOUN
cana-690	198	9	detection	detection	NOUN
cana-690	198	10	and	and	CCONJ
cana-690	198	11	hog	hog	NOUN
cana-690	198	12	features	feature	NOUN
cana-690	198	13	.	.	PUNCT
cana-690	198	14	”	"	PUNCT
cana-690	199	1	in	in	ADP
cana-690	199	2	international	international	ADJ
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cana-690	199	4	on	on	ADP
cana-690	199	5	electrical	electrical	ADJ
cana-690	199	6	and	and	CCONJ
cana-690	199	7	computer	computer	NOUN
cana-690	199	8	engineering	engineering	NOUN
cana-690	199	9	subfields	subfield	NOUN
cana-690	199	10	,	,	PUNCT
cana-690	199	11	pp	pp	PROPN
cana-690	199	12	.	.	PUNCT
cana-690	199	13	884	884	NUM
cana-690	199	14	-	-	SYM
cana-690	199	15	888	888	NUM
cana-690	199	16	,	,	PUNCT
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cana-690	199	18	.	.	PUNCT
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cana-690	200	3	]	]	X
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cana-690	200	12	.	.	PUNCT
cana-690	200	13	”	"	PUNCT
cana-690	201	1	haar	haar	PROPN
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cana-690	201	7	.	.	PUNCT
cana-690	201	8	”	"	PUNCT
cana-690	202	1	in	in	ADP
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cana-690	202	4	and	and	CCONJ
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cana-690	202	7	,	,	PUNCT
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cana-690	202	9	.	.	PUNCT
cana-690	203	1	fgr	fgr	PROPN
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cana-690	203	3	.	.	PUNCT
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cana-690	204	6	pp	pp	ADJ
cana-690	204	7	.	.	PUNCT
cana-690	205	1	5	5	NUM
cana-690	205	2	-	-	PUNCT
cana-690	205	3	pp	pp	NOUN
cana-690	205	4	.	.	PUNCT
cana-690	206	1	ieee	ieee	PROPN
cana-690	206	2	,	,	PUNCT
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cana-690	206	4	.	.	PUNCT
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cana-690	207	2	18	18	NUM
cana-690	207	3	]	]	X
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cana-690	207	5	,	,	PUNCT
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cana-690	207	7	,	,	PUNCT
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cana-690	207	9	j.	j.	PROPN
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cana-690	207	11	,	,	PUNCT
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cana-690	207	14	e.	e.	PROPN
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cana-690	207	16	.	.	PUNCT
cana-690	208	1	”	"	PUNCT
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cana-690	208	8	affective	affective	ADJ
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cana-690	208	10	in	in	ADP
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cana-690	208	12	:	:	PUNCT
cana-690	208	13	a	a	DET
cana-690	208	14	methodological	methodological	ADJ
cana-690	208	15	review	review	NOUN
cana-690	208	16	.	.	PUNCT
cana-690	208	17	”	"	PUNCT
cana-690	209	1	clinical	clinical	ADJ
cana-690	209	2	psychology	psychology	NOUN
cana-690	209	3	review	review	VERB
cana-690	209	4	22.6	22.6	NUM
cana-690	209	5	:	:	PUNCT
cana-690	209	6	789	789	NUM
cana-690	209	7	-	-	SYM
cana-690	209	8	832	832	NUM
cana-690	209	9	,	,	PUNCT
cana-690	209	10	2002	2002	NUM
cana-690	209	11	.	.	PUNCT
cana-690	210	1	[	[	X
cana-690	210	2	19	19	NUM
cana-690	210	3	]	]	X
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cana-690	210	6	benitez	benitez	PROPN
cana-690	210	7	-	-	PUNCT
cana-690	210	8	quiroz	quiroz	PROPN
cana-690	210	9	,	,	PUNCT
cana-690	210	10	r.	r.	PROPN
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cana-690	210	12	,	,	PUNCT
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cana-690	210	17	.	.	PUNCT
cana-690	211	1	emotionet	emotionet	PROPN
cana-690	211	2	:	:	PUNCT
cana-690	211	3	an	an	DET
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cana-690	211	5	-	-	PUNCT
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cana-690	211	9	-	-	PUNCT
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cana-690	211	11	algorithm	algorithm	NOUN
cana-690	211	12	for	for	ADP
cana-690	211	13	the	the	DET
cana-690	211	14	automatic	automatic	ADJ
cana-690	211	15	annotation	annotation	NOUN
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cana-690	211	17	a	a	DET
cana-690	211	18	million	million	NUM
cana-690	211	19	facial	facial	ADJ
cana-690	211	20	expressions	expression	NOUN
cana-690	211	21	in	in	ADP
cana-690	211	22	the	the	DET
cana-690	211	23	wild	wild	NOUN
cana-690	211	24	.	.	PUNCT
cana-690	212	1	in	in	ADP
cana-690	212	2	proc	proc	PROPN
cana-690	212	3	.	.	PUNCT
cana-690	213	1	conf	conf	NOUN
cana-690	213	2	.	.	PUNCT
cana-690	214	1	comput	comput	NOUN
cana-690	214	2	.	.	PUNCT
cana-690	215	1	vision	vision	NOUN
cana-690	215	2	pattern	pattern	NOUN
cana-690	215	3	recognition	recognition	NOUN
cana-690	215	4	,	,	PUNCT
cana-690	215	5	pages	page	NOUN
cana-690	215	6	5562–5570	5562–5570	NUM
cana-690	215	7	,	,	PUNCT
cana-690	215	8	2016	2016	NUM
cana-690	215	9	[	[	X
cana-690	215	10	20	20	NUM
cana-690	215	11	]	]	PUNCT
cana-690	215	12	s.	s.	PROPN
cana-690	215	13	zafeiriou	zafeiriou	PROPN
cana-690	215	14	,	,	PUNCT
cana-690	215	15	a.	a.	NOUN
cana-690	215	16	papaioannou	papaioannou	PROPN
cana-690	215	17	,	,	PUNCT
cana-690	215	18	i.	i.	PROPN
cana-690	215	19	kotsia	kotsia	PROPN
cana-690	215	20	,	,	PUNCT
cana-690	215	21	m.	m.	NOUN
cana-690	215	22	nicolaou	nicolaou	PROPN
cana-690	215	23	,	,	PUNCT
cana-690	215	24	and	and	CCONJ
cana-690	215	25	g.	g.	PROPN
cana-690	215	26	zhao	zhao	PROPN
cana-690	215	27	.	.	PUNCT
cana-690	216	1	facial	facial	ADJ
cana-690	216	2	affect“in	affect“in	PROPN
cana-690	216	3	-	-	PUNCT
cana-690	216	4	the	the	DET
cana-690	216	5	-	-	PUNCT
cana-690	216	6	wild	wild	ADJ
cana-690	216	7	”	"	PUNCT
cana-690	216	8	.	.	PUNCT
cana-690	217	1	in	in	ADP
cana-690	217	2	proc	proc	PROPN
cana-690	217	3	.	.	PUNCT
cana-690	218	1	conf	conf	NOUN
cana-690	218	2	.	.	PUNCT
cana-690	219	1	comput	comput	NOUN
cana-690	219	2	.	.	PUNCT
cana-690	220	1	vision	vision	NOUN
cana-690	220	2	pattern	pattern	NOUN
cana-690	220	3	recognition	recognition	NOUN
cana-690	220	4	workshops	workshop	NOUN
cana-690	220	5	,	,	PUNCT
cana-690	220	6	pages	page	NOUN
cana-690	220	7	36–47	36–47	NUM
cana-690	220	8	,	,	PUNCT
cana-690	220	9	2016	2016	NUM
cana-690	220	10	.	.	PUNCT
cana-690	221	1	[	[	X
cana-690	221	2	21	21	NUM
cana-690	221	3	]	]	X
cana-690	221	4	r.	r.	PROPN
cana-690	221	5	kosti	kosti	PROPN
cana-690	221	6	,	,	PUNCT
cana-690	221	7	j.	j.	PROPN
cana-690	221	8	m.	m.	PROPN
cana-690	221	9	alvarez	alvarez	PROPN
cana-690	221	10	,	,	PUNCT
cana-690	221	11	a.	a.	NOUN
cana-690	221	12	recasens	recasen	NOUN
cana-690	221	13	,	,	PUNCT
cana-690	221	14	and	and	CCONJ
cana-690	221	15	a.	a.	NOUN
cana-690	221	16	lapedriza	lapedriza	PROPN
cana-690	221	17	.	.	PUNCT
cana-690	222	1	emotion	emotion	NOUN
cana-690	222	2	recognition	recognition	NOUN
cana-690	222	3	in	in	ADP
cana-690	222	4	context	context	NOUN
cana-690	222	5	.	.	PUNCT
cana-690	223	1	in	in	ADP
cana-690	223	2	proc	proc	PROPN
cana-690	223	3	.	.	PUNCT
cana-690	224	1	conf	conf	NOUN
cana-690	224	2	.	.	PUNCT
cana-690	225	1	comput	comput	NOUN
cana-690	225	2	.	.	PUNCT
cana-690	226	1	vision	vision	NOUN
cana-690	226	2	pattern	pattern	NOUN
cana-690	226	3	recognition	recognition	NOUN
cana-690	226	4	,	,	PUNCT
cana-690	226	5	2017	2017	NUM
cana-690	226	6	.	.	PUNCT
cana-690	227	1	[	[	X
cana-690	227	2	22	22	NUM
cana-690	227	3	]	]	X
cana-690	227	4	g.	g.	PROPN
cana-690	227	5	levi	levi	PROPN
cana-690	227	6	and	and	CCONJ
cana-690	227	7	t.	t.	PROPN
cana-690	227	8	hassner	hassner	PROPN
cana-690	227	9	.	.	PUNCT
cana-690	228	1	emotion	emotion	NOUN
cana-690	228	2	recognition	recognition	NOUN
cana-690	228	3	in	in	ADP
cana-690	228	4	the	the	DET
cana-690	228	5	wild	wild	NOUN
cana-690	228	6	via	via	ADP
cana-690	228	7	convolutional	convolutional	ADJ
cana-690	228	8	neural	neural	ADJ
cana-690	228	9	networks	network	NOUN
cana-690	228	10	and	and	CCONJ
cana-690	228	11	mapped	map	VERB
cana-690	228	12	binary	binary	ADJ
cana-690	228	13	patterns	pattern	NOUN
cana-690	228	14	.	.	PUNCT
cana-690	229	1	in	in	ADP
cana-690	229	2	int	int	PROPN
cana-690	229	3	.	.	PUNCT
cana-690	230	1	conf	conf	PROPN
cana-690	230	2	.	.	PUNCT
cana-690	231	1	on	on	ADP
cana-690	231	2	multimodal	multimodal	NOUN
cana-690	231	3	interaction	interaction	NOUN
cana-690	231	4	,	,	PUNCT
cana-690	231	5	pages	page	NOUN
cana-690	231	6	503–510	503–510	NUM
cana-690	231	7	.	.	PUNCT
cana-690	231	8	acm	acm	PROPN
cana-690	231	9	,	,	PUNCT
cana-690	231	10	2015	2015	NUM
cana-690	231	11	.	.	PUNCT
cana-690	232	1	[	[	X
cana-690	232	2	23	23	NUM
cana-690	232	3	]	]	PUNCT
cana-690	232	4	k.	k.	PROPN
cana-690	232	5	zhang	zhang	PROPN
cana-690	232	6	,	,	PUNCT
cana-690	232	7	l.	l.	PROPN
cana-690	232	8	tan	tan	PROPN
cana-690	232	9	,	,	PUNCT
cana-690	232	10	z.	z.	PROPN
cana-690	232	11	li	li	PROPN
cana-690	232	12	,	,	PUNCT
cana-690	232	13	and	and	CCONJ
cana-690	232	14	y.	y.	PROPN
cana-690	232	15	qiao	qiao	PROPN
cana-690	232	16	.	.	PUNCT
cana-690	233	1	gender	gender	NOUN
cana-690	233	2	and	and	CCONJ
cana-690	233	3	smile	smile	VERB
cana-690	233	4	classification	classification	NOUN
cana-690	233	5	using	use	VERB
cana-690	233	6	deep	deep	ADJ
cana-690	233	7	convolutional	convolutional	ADJ
cana-690	233	8	neural	neural	ADJ
cana-690	233	9	networks	network	NOUN
cana-690	233	10	.	.	PUNCT
cana-690	234	1	in	in	ADP
cana-690	234	2	proc	proc	PROPN
cana-690	234	3	.	.	PUNCT
cana-690	235	1	conf	conf	NOUN
cana-690	235	2	.	.	PUNCT
cana-690	236	1	comput	comput	NOUN
cana-690	236	2	.	.	PUNCT
cana-690	237	1	vision	vision	NOUN
cana-690	237	2	pattern	pattern	NOUN
cana-690	237	3	recognition	recognition	NOUN
cana-690	237	4	workshops	workshop	NOUN
cana-690	237	5	,	,	PUNCT
cana-690	237	6	pages	page	NOUN
cana-690	237	7	34–38	34–38	NUM
cana-690	237	8	,	,	PUNCT
cana-690	237	9	2016	2016	NUM
cana-690	237	10	.	.	PUNCT
cana-690	238	1	[	[	X
cana-690	238	2	24	24	NUM
cana-690	238	3	]	]	PUNCT
cana-690	238	4	m.	m.	NOUN
cana-690	238	5	naphade	naphade	PROPN
cana-690	238	6	,	,	PUNCT
cana-690	238	7	j.	j.	PROPN
cana-690	238	8	smith	smith	PROPN
cana-690	238	9	,	,	PUNCT
cana-690	238	10	j.	j.	PROPN
cana-690	238	11	tesic	tesic	PROPN
cana-690	238	12	,	,	PUNCT
cana-690	238	13	s.-f	s.-f	PROPN
cana-690	238	14	.	.	PUNCT
cana-690	239	1	chang	chang	PROPN
cana-690	239	2	,	,	PUNCT
cana-690	239	3	w.	w.	PROPN
cana-690	239	4	hsu	hsu	PROPN
cana-690	239	5	,	,	PUNCT
cana-690	239	6	l.	l.	PROPN
cana-690	239	7	kennedy	kennedy	PROPN
cana-690	239	8	,	,	PUNCT
cana-690	239	9	a.	a.	NOUN
cana-690	239	10	hauptmann	hauptmann	PROPN
cana-690	239	11	,	,	PUNCT
cana-690	239	12	and	and	CCONJ
cana-690	239	13	curtis	curtis	PROPN
cana-690	239	14	j.	j.	PROPN
cana-690	239	15	large	large	ADJ
cana-690	239	16	-	-	PUNCT
cana-690	239	17	scale	scale	NOUN
cana-690	239	18	concept	concept	NOUN
cana-690	239	19	ontology	ontology	NOUN
cana-690	239	20	for	for	ADP
cana-690	239	21	multimedia	multimedia	NOUN
cana-690	239	22	.	.	PUNCT
cana-690	240	1	in	in	ADP
cana-690	240	2	ieee	ieee	NOUN
cana-690	240	3	multimedia	multimedia	NOUN
cana-690	240	4	,	,	PUNCT
cana-690	240	5	2006	2006	NUM
cana-690	240	6	.	.	PUNCT
cana-690	241	1	[	[	X
cana-690	241	2	25	25	NUM
cana-690	241	3	]	]	X
cana-690	241	4	j.r	j.r	PROPN
cana-690	241	5	.	.	PROPN
cana-690	241	6	smith	smith	PROPN
cana-690	241	7	,	,	PUNCT
cana-690	241	8	m.	m.	PROPN
cana-690	241	9	naphade	naphade	PROPN
cana-690	241	10	,	,	PUNCT
cana-690	241	11	and	and	CCONJ
cana-690	241	12	a.	a.	NOUN
cana-690	241	13	natsev	natsev	PROPN
cana-690	241	14	.	.	PUNCT
cana-690	242	1	multimedia	multimedia	PROPN
cana-690	242	2	semantic	semantic	ADJ
cana-690	242	3	indexing	indexing	NOUN
cana-690	242	4	using	use	VERB
cana-690	242	5	model	model	NOUN
cana-690	242	6	vectors	vector	NOUN
cana-690	242	7	.	.	PUNCT
cana-690	243	1	in	in	ADP
cana-690	243	2	international	international	ADJ
cana-690	243	3	conference	conference	NOUN
cana-690	243	4	on	on	ADP
cana-690	243	5	multimedia	multimedia	NOUN
cana-690	243	6	and	and	CCONJ
cana-690	243	7	expo	expo	NOUN
cana-690	243	8	,	,	PUNCT
cana-690	243	9	2003	2003	NUM
cana-690	243	10	[	[	X
cana-690	243	11	26	26	NUM
cana-690	243	12	]	]	X
cana-690	243	13	genevieve	genevieve	PROPN
cana-690	243	14	patterson	patterson	PROPN
cana-690	243	15	and	and	CCONJ
cana-690	243	16	james	james	PROPN
cana-690	243	17	hays	hays	PROPN
cana-690	243	18	.	.	PUNCT
cana-690	244	1	sun	sun	PROPN
cana-690	244	2	attribute	attribute	PROPN
cana-690	244	3	database	database	NOUN
cana-690	244	4	:	:	PUNCT
cana-690	244	5	discovering	discover	VERB
cana-690	244	6	,	,	PUNCT
cana-690	244	7	annotat	annotat	NOUN
cana-690	244	8	-	-	PUNCT
cana-690	244	9	ing	ing	NOUN
cana-690	244	10	,	,	PUNCT
cana-690	244	11	and	and	CCONJ
cana-690	244	12	recognizing	recognize	VERB
cana-690	244	13	scene	scene	NOUN
cana-690	244	14	attributes	attribute	NOUN
cana-690	244	15	.	.	PUNCT
cana-690	245	1	in	in	ADP
cana-690	245	2	computer	computer	NOUN
cana-690	245	3	vision	vision	NOUN
cana-690	245	4	and	and	CCONJ
cana-690	245	5	pattern	pattern	NOUN
cana-690	245	6	recognition	recognition	NOUN
cana-690	245	7	.	.	PUNCT
cana-690	246	1	ieee	ieee	NOUN
cana-690	246	2	,	,	PUNCT
cana-690	246	3	2012	2012	NUM
cana-690	246	4	.	.	PUNCT
cana-690	247	1	[	[	X
cana-690	247	2	27	27	NUM
cana-690	247	3	]	]	PUNCT
cana-690	247	4	yanwei	yanwei	PROPN
cana-690	247	5	fu	fu	PROPN
cana-690	247	6	,	,	PUNCT
cana-690	247	7	timothy	timothy	PROPN
cana-690	247	8	m	m	PROPN
cana-690	247	9	hospedales	hospedale	NOUN
cana-690	247	10	,	,	PUNCT
cana-690	247	11	tao	tao	PROPN
cana-690	247	12	xiang	xiang	PROPN
cana-690	247	13	,	,	PUNCT
cana-690	247	14	and	and	CCONJ
cana-690	247	15	shaogang	shaogang	PROPN
cana-690	247	16	gong	gong	PROPN
cana-690	247	17	.	.	PUNCT
cana-690	248	1	attribute	attribute	NOUN
cana-690	248	2	learning	learn	VERB
cana-690	248	3	for	for	ADP
cana-690	248	4	understanding	understand	VERB
cana-690	248	5	unstructured	unstructured	ADJ
cana-690	248	6	social	social	ADJ
cana-690	248	7	activity	activity	NOUN
cana-690	248	8	.	.	PUNCT
cana-690	249	1	in	in	ADP
cana-690	249	2	european	european	ADJ
cana-690	249	3	conference	conference	NOUN
cana-690	249	4	on	on	ADP
cana-690	249	5	computer	computer	NOUN
cana-690	249	6	vision	vision	NOUN
cana-690	249	7	.	.	PUNCT
cana-690	250	1	springer	springer	NOUN
cana-690	250	2	,	,	PUNCT
cana-690	250	3	2012	2012	NUM
cana-690	250	4	.	.	PUNCT
cana-690	251	1	[	[	X
cana-690	251	2	28	28	NUM
cana-690	251	3	]	]	X
cana-690	251	4	rajat	rajat	PROPN
cana-690	251	5	raina	raina	PROPN
cana-690	251	6	,	,	PUNCT
cana-690	251	7	alexis	alexis	PROPN
cana-690	251	8	battle	battle	PROPN
cana-690	251	9	,	,	PUNCT
cana-690	251	10	honglak	honglak	PROPN
cana-690	251	11	lee	lee	PROPN
cana-690	251	12	,	,	PUNCT
cana-690	251	13	benjamin	benjamin	PROPN
cana-690	251	14	packer	packer	PROPN
cana-690	251	15	,	,	PUNCT
cana-690	251	16	and	and	CCONJ
cana-690	251	17	andrew	andrew	PROPN
cana-690	251	18	y	y	PROPN
cana-690	251	19	ng	ng	PROPN
cana-690	251	20	.	.	PUNCT
cana-690	251	21	self	self	NOUN
cana-690	251	22	-	-	PUNCT
cana-690	251	23	taught	teach	VERB
cana-690	251	24	learning	learning	NOUN
cana-690	251	25	:	:	PUNCT
cana-690	251	26	transfer	transfer	VERB
cana-690	251	27	learning	learning	NOUN
cana-690	251	28	from	from	ADP
cana-690	251	29	unlabeled	unlabeled	ADJ
cana-690	251	30	data	datum	NOUN
cana-690	251	31	.	.	PUNCT
cana-690	252	1	in	in	ADP
cana-690	252	2	proceedings	proceeding	NOUN
cana-690	252	3	of	of	ADP
cana-690	252	4	the	the	DET
cana-690	252	5	24th	24th	ADJ
cana-690	252	6	in	in	ADP
cana-690	252	7	-	-	PUNCT
cana-690	252	8	ternational	ternational	ADJ
cana-690	252	9	conference	conference	NOUN
cana-690	252	10	on	on	ADP
cana-690	252	11	machine	machine	NOUN
cana-690	252	12	learning	learning	NOUN
cana-690	252	13	,	,	PUNCT
cana-690	252	14	pages	page	VERB
cana-690	252	15	759–766	759–766	NUM
cana-690	252	16	.	.	PUNCT
cana-690	252	17	acm	acm	PROPN
cana-690	252	18	,	,	PUNCT
cana-690	252	19	2007	2007	NUM
cana-690	252	20	.	.	PUNCT
cana-690	253	1	[	[	X
cana-690	253	2	29	29	NUM
cana-690	253	3	]	]	X
cana-690	253	4	grégoiremesnil	grégoiremesnil	PROPN
cana-690	253	5	,	,	PUNCT
cana-690	253	6	yann	yann	PROPN
cana-690	253	7	dauphin	dauphin	PROPN
cana-690	253	8	,	,	PUNCT
cana-690	253	9	xavier	xavier	PROPN
cana-690	253	10	glorot	glorot	PROPN
cana-690	253	11	,	,	PUNCT
cana-690	253	12	salah	salah	PROPN
cana-690	253	13	rifai	rifai	PROPN
cana-690	253	14	,	,	PUNCT
cana-690	253	15	yoshuabengio	yoshuabengio	NOUN
cana-690	253	16	,	,	PUNCT
cana-690	253	17	ian	ian	PROPN
cana-690	253	18	j	j	PROPN
cana-690	253	19	goodfellow	goodfellow	PROPN
cana-690	253	20	,	,	PUNCT
cana-690	253	21	erick	erick	PROPN
cana-690	253	22	lavoie	lavoie	PROPN
cana-690	253	23	,	,	PUNCT
cana-690	253	24	xavier	xavier	PROPN
cana-690	253	25	muller	muller	PROPN
cana-690	253	26	,	,	PUNCT
cana-690	253	27	guillaume	guillaume	PROPN
cana-690	253	28	desjardins	desjardins	PROPN
cana-690	253	29	,	,	PUNCT
cana-690	253	30	david	david	PROPN
cana-690	253	31	warde	warde	PROPN
cana-690	253	32	-	-	PUNCT
cana-690	253	33	farley	farley	PROPN
cana-690	253	34	,	,	PUNCT
cana-690	253	35	et	et	PROPN
cana-690	253	36	al	al	PROPN
cana-690	253	37	.	.	PROPN
cana-690	254	1	unsupervised	unsupervised	ADJ
cana-690	254	2	and	and	CCONJ
cana-690	254	3	transfer	transfer	NOUN
cana-690	254	4	learning	learning	NOUN
cana-690	254	5	challenge	challenge	NOUN
cana-690	254	6	:	:	PUNCT
cana-690	254	7	a	a	DET
cana-690	254	8	deep	deep	ADJ
cana-690	254	9	learning	learning	NOUN
cana-690	254	10	approach	approach	NOUN
cana-690	254	11	.	.	PUNCT
cana-690	255	1	in	in	ADP
cana-690	255	2	icml	icml	NOUN
cana-690	255	3	unsupervised	unsupervised	ADJ
cana-690	255	4	and	and	CCONJ
cana-690	255	5	transfer	transfer	NOUN
cana-690	255	6	learning	learning	NOUN
cana-690	255	7	,	,	PUNCT
cana-690	255	8	pages	page	NOUN
cana-690	255	9	97–110	97–110	NUM
cana-690	255	10	,	,	PUNCT
cana-690	255	11	2012	2012	NUM
cana-690	255	12	.	.	PUNCT
cana-690	256	1	[	[	X
cana-690	256	2	30	30	NUM
cana-690	256	3	]	]	X
cana-690	256	4	lyndon	lyndon	PROPN
cana-690	256	5	kennedy	kennedy	PROPN
cana-690	256	6	and	and	CCONJ
cana-690	256	7	alexander	alexander	PROPN
cana-690	256	8	hauptmann	hauptmann	PROPN
cana-690	256	9	.	.	PUNCT
cana-690	257	1	lscom	lscom	ADJ
cana-690	257	2	lexicon	lexicon	ADJ
cana-690	257	3	definitions	definition	NOUN
cana-690	257	4	and	and	CCONJ
cana-690	257	5	annota	annota	ADJ
cana-690	257	6	-	-	PUNCT
cana-690	257	7	tions	tion	NOUN
cana-690	257	8	(	(	PUNCT
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