id	sid	tid	token	lemma	pos
cuesj-1203	1	1	tx_1	tx_1	PROPN
cuesj-1203	1	2	~	~	X
cuesj-1203	1	3	abs	ab	NOUN
cuesj-1203	1	4	:	:	PUNCT
cuesj-1203	1	5	at	at	ADP
cuesj-1203	1	6	/	/	SYM
cuesj-1203	1	7	add	add	VERB
cuesj-1203	1	8	:	:	PUNCT
cuesj-1203	1	9	tx_2	tx_2	PROPN
cuesj-1203	1	10	~	~	NOUN
cuesj-1203	1	11	abs	ab	NOUN
cuesj-1203	1	12	:	:	PUNCT
cuesj-1203	1	13	at	at	ADP
cuesj-1203	1	14	99	99	NUM
cuesj-1203	1	15	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1203	1	16	cuesj	cuesj	NOUN
cuesj-1203	1	17	2024	2024	NUM
cuesj-1203	1	18	,	,	PUNCT
cuesj-1203	1	19	8	8	NUM
cuesj-1203	1	20	(	(	PUNCT
cuesj-1203	1	21	2	2	NUM
cuesj-1203	1	22	):	):	PUNCT
cuesj-1203	1	23	99	99	NUM
cuesj-1203	1	24	-	-	SYM
cuesj-1203	1	25	103	103	NUM
cuesj-1203	1	26	research	research	NOUN
cuesj-1203	1	27	article	article	NOUN
cuesj-1203	1	28	intelligent	intelligent	ADJ
cuesj-1203	1	29	handwritten	handwritten	ADJ
cuesj-1203	1	30	identification	identification	NOUN
cuesj-1203	1	31	using	use	VERB
cuesj-1203	1	32	novel	novel	ADJ
cuesj-1203	1	33	hybrid	hybrid	ADJ
cuesj-1203	1	34	convolutional	convolutional	ADJ
cuesj-1203	1	35	neural	neural	ADJ
cuesj-1203	1	36	networks	network	NOUN
cuesj-1203	1	37	–	–	PUNCT
cuesj-1203	1	38	long	long	ADJ
cuesj-1203	1	39	-	-	PUNCT
cuesj-1203	1	40	short	short	ADJ
cuesj-1203	1	41	-	-	PUNCT
cuesj-1203	1	42	term	term	NOUN
cuesj-1203	1	43	memory	memory	NOUN
cuesj-1203	1	44	architecture	architecture	NOUN
cuesj-1203	1	45	fatimatelbatoul	fatimatelbatoul	ADP
cuesj-1203	1	46	m.	m.	NOUN
cuesj-1203	1	47	husari	husari	NOUN
cuesj-1203	1	48	,	,	PUNCT
cuesj-1203	1	49	mohammad	mohammad	PROPN
cuesj-1203	1	50	a.	a.	PROPN
cuesj-1203	1	51	assaad	assaad	PROPN
cuesj-1203	1	52	department	department	PROPN
cuesj-1203	1	53	of	of	ADP
cuesj-1203	1	54	informatics	informatics	PROPN
cuesj-1203	1	55	and	and	CCONJ
cuesj-1203	1	56	software	software	NOUN
cuesj-1203	1	57	engineering	engineering	NOUN
cuesj-1203	1	58	,	,	PUNCT
cuesj-1203	1	59	faculty	faculty	NOUN
cuesj-1203	1	60	of	of	ADP
cuesj-1203	1	61	engineering	engineering	NOUN
cuesj-1203	1	62	,	,	PUNCT
cuesj-1203	1	63	cihan	cihan	VERB
cuesj-1203	1	64	university	university	NOUN
cuesj-1203	1	65	-	-	PUNCT
cuesj-1203	1	66	erbil	erbil	PROPN
cuesj-1203	1	67	,	,	PUNCT
cuesj-1203	1	68	kurdistan	kurdistan	ADJ
cuesj-1203	1	69	region	region	NOUN
cuesj-1203	1	70	,	,	PUNCT
cuesj-1203	1	71	iraq	iraq	PROPN
cuesj-1203	1	72	abstract	abstract	ADJ
cuesj-1203	1	73	handwritten	handwritten	ADJ
cuesj-1203	1	74	character	character	NOUN
cuesj-1203	1	75	identification	identification	NOUN
cuesj-1203	1	76	finds	find	VERB
cuesj-1203	1	77	broad	broad	ADJ
cuesj-1203	1	78	applications	application	NOUN
cuesj-1203	1	79	in	in	ADP
cuesj-1203	1	80	document	document	NOUN
cuesj-1203	1	81	analysis	analysis	NOUN
cuesj-1203	1	82	,	,	PUNCT
cuesj-1203	1	83	digital	digital	ADJ
cuesj-1203	1	84	forensics	forensic	NOUN
cuesj-1203	1	85	,	,	PUNCT
cuesj-1203	1	86	and	and	CCONJ
cuesj-1203	1	87	human	human	ADJ
cuesj-1203	1	88	-	-	PUNCT
cuesj-1203	1	89	computer	computer	NOUN
cuesj-1203	1	90	interaction	interaction	NOUN
cuesj-1203	1	91	.	.	PUNCT
cuesj-1203	2	1	conventional	conventional	ADJ
cuesj-1203	2	2	methods	method	NOUN
cuesj-1203	2	3	encounter	encounter	VERB
cuesj-1203	2	4	challenges	challenge	NOUN
cuesj-1203	2	5	in	in	ADP
cuesj-1203	2	6	accurately	accurately	ADV
cuesj-1203	2	7	deciphering	decipher	VERB
cuesj-1203	2	8	a	a	DET
cuesj-1203	2	9	range	range	NOUN
cuesj-1203	2	10	of	of	ADP
cuesj-1203	2	11	handwriting	handwriting	NOUN
cuesj-1203	2	12	styles	style	NOUN
cuesj-1203	2	13	and	and	CCONJ
cuesj-1203	2	14	variations	variation	NOUN
cuesj-1203	2	15	.	.	PUNCT
cuesj-1203	3	1	consequently	consequently	ADV
cuesj-1203	3	2	,	,	PUNCT
cuesj-1203	3	3	investigating	investigate	VERB
cuesj-1203	3	4	intelligent	intelligent	ADJ
cuesj-1203	3	5	systems	system	NOUN
cuesj-1203	3	6	for	for	ADP
cuesj-1203	3	7	handwriting	handwriting	NOUN
cuesj-1203	3	8	identification	identification	NOUN
cuesj-1203	3	9	becomes	become	VERB
cuesj-1203	3	10	crucial	crucial	ADJ
cuesj-1203	3	11	to	to	PART
cuesj-1203	3	12	enhance	enhance	VERB
cuesj-1203	3	13	accuracy	accuracy	NOUN
cuesj-1203	3	14	and	and	CCONJ
cuesj-1203	3	15	efficiency	efficiency	NOUN
cuesj-1203	3	16	.	.	PUNCT
cuesj-1203	4	1	this	this	DET
cuesj-1203	4	2	paper	paper	NOUN
cuesj-1203	4	3	introduces	introduce	VERB
cuesj-1203	4	4	an	an	DET
cuesj-1203	4	5	innovative	innovative	ADJ
cuesj-1203	4	6	hybrid	hybrid	ADJ
cuesj-1203	4	7	deep	deep	ADJ
cuesj-1203	4	8	learning	learning	NOUN
cuesj-1203	4	9	architecture	architecture	NOUN
cuesj-1203	4	10	,	,	PUNCT
cuesj-1203	4	11	seamlessly	seamlessly	ADV
cuesj-1203	4	12	integrating	integrate	VERB
cuesj-1203	4	13	the	the	DET
cuesj-1203	4	14	strengths	strength	NOUN
cuesj-1203	4	15	of	of	ADP
cuesj-1203	4	16	convolutional	convolutional	ADJ
cuesj-1203	4	17	neural	neural	ADJ
cuesj-1203	4	18	networks	network	NOUN
cuesj-1203	4	19	(	(	PUNCT
cuesj-1203	4	20	cnn	cnn	PROPN
cuesj-1203	4	21	)	)	PUNCT
cuesj-1203	4	22	and	and	CCONJ
cuesj-1203	4	23	longshort	longshort	NOUN
cuesj-1203	4	24	-	-	PUNCT
cuesj-1203	4	25	term	term	NOUN
cuesj-1203	4	26	memory	memory	NOUN
cuesj-1203	4	27	(	(	PUNCT
cuesj-1203	4	28	lstm	lstm	NOUN
cuesj-1203	4	29	)	)	PUNCT
cuesj-1203	4	30	within	within	ADP
cuesj-1203	4	31	a	a	DET
cuesj-1203	4	32	single	single	ADJ
cuesj-1203	4	33	framework	framework	NOUN
cuesj-1203	4	34	.	.	PUNCT
cuesj-1203	5	1	the	the	DET
cuesj-1203	5	2	combination	combination	NOUN
cuesj-1203	5	3	of	of	ADP
cuesj-1203	5	4	these	these	DET
cuesj-1203	5	5	structures	structure	NOUN
cuesj-1203	5	6	enables	enable	VERB
cuesj-1203	5	7	the	the	DET
cuesj-1203	5	8	model	model	NOUN
cuesj-1203	5	9	to	to	PART
cuesj-1203	5	10	effectively	effectively	ADV
cuesj-1203	5	11	capture	capture	VERB
cuesj-1203	5	12	both	both	PRON
cuesj-1203	5	13	spatial	spatial	ADJ
cuesj-1203	5	14	features	feature	NOUN
cuesj-1203	5	15	and	and	CCONJ
cuesj-1203	5	16	temporal	temporal	ADJ
cuesj-1203	5	17	dependencies	dependency	NOUN
cuesj-1203	5	18	inherent	inherent	ADJ
cuesj-1203	5	19	in	in	ADP
cuesj-1203	5	20	handwritten	handwritten	ADJ
cuesj-1203	5	21	strokes	stroke	NOUN
cuesj-1203	5	22	,	,	PUNCT
cuesj-1203	5	23	resulting	result	VERB
cuesj-1203	5	24	in	in	ADP
cuesj-1203	5	25	improved	improve	VERB
cuesj-1203	5	26	recognition	recognition	NOUN
cuesj-1203	5	27	performance	performance	NOUN
cuesj-1203	5	28	.	.	PUNCT
cuesj-1203	6	1	the	the	DET
cuesj-1203	6	2	proposed	propose	VERB
cuesj-1203	6	3	2dcnn	2dcnn	NUM
cuesj-1203	6	4	-	-	PUNCT
cuesj-1203	6	5	lstm	lstm	ADJ
cuesj-1203	6	6	algorithm	algorithm	NOUN
cuesj-1203	6	7	has	have	AUX
cuesj-1203	6	8	been	be	AUX
cuesj-1203	6	9	tested	test	VERB
cuesj-1203	6	10	on	on	ADP
cuesj-1203	6	11	the	the	DET
cuesj-1203	6	12	mnist	mnist	NOUN
cuesj-1203	6	13	dataset	dataset	PROPN
cuesj-1203	6	14	.	.	PUNCT
cuesj-1203	7	1	the	the	DET
cuesj-1203	7	2	proposed	propose	VERB
cuesj-1203	7	3	hybrid	hybrid	ADJ
cuesj-1203	7	4	cnn	cnn	PROPN
cuesj-1203	7	5	-	-	PUNCT
cuesj-1203	7	6	lstm	lstm	ADJ
cuesj-1203	7	7	structure	structure	NOUN
cuesj-1203	7	8	has	have	AUX
cuesj-1203	7	9	been	be	AUX
cuesj-1203	7	10	compared	compare	VERB
cuesj-1203	7	11	to	to	ADP
cuesj-1203	7	12	conventional	conventional	ADJ
cuesj-1203	7	13	intelligent	intelligent	ADJ
cuesj-1203	7	14	machine	machine	NOUN
cuesj-1203	7	15	learning	learning	NOUN
cuesj-1203	7	16	methods	method	NOUN
cuesj-1203	7	17	,	,	PUNCT
cuesj-1203	7	18	and	and	CCONJ
cuesj-1203	7	19	the	the	DET
cuesj-1203	7	20	results	result	NOUN
cuesj-1203	7	21	demonstrate	demonstrate	VERB
cuesj-1203	7	22	the	the	DET
cuesj-1203	7	23	superior	superior	ADJ
cuesj-1203	7	24	performance	performance	NOUN
cuesj-1203	7	25	of	of	ADP
cuesj-1203	7	26	the	the	DET
cuesj-1203	7	27	hybrid	hybrid	ADJ
cuesj-1203	7	28	cnn	cnn	PROPN
cuesj-1203	7	29	-	-	PUNCT
cuesj-1203	7	30	lstm	lstm	PROPN
cuesj-1203	7	31	,	,	PUNCT
cuesj-1203	7	32	showcasing	showcase	VERB
cuesj-1203	7	33	heightened	heightened	ADJ
cuesj-1203	7	34	accuracy	accuracy	NOUN
cuesj-1203	7	35	,	,	PUNCT
cuesj-1203	7	36	sensitivity	sensitivity	NOUN
cuesj-1203	7	37	,	,	PUNCT
cuesj-1203	7	38	specificity	specificity	NOUN
cuesj-1203	7	39	,	,	PUNCT
cuesj-1203	7	40	and	and	CCONJ
cuesj-1203	7	41	other	other	ADJ
cuesj-1203	7	42	evaluation	evaluation	NOUN
cuesj-1203	7	43	metrics	metric	NOUN
cuesj-1203	7	44	.	.	PUNCT
cuesj-1203	8	1	keywords	keyword	NOUN
cuesj-1203	8	2	:	:	PUNCT
cuesj-1203	8	3	deep	deep	ADJ
cuesj-1203	8	4	learning	learning	NOUN
cuesj-1203	8	5	,	,	PUNCT
cuesj-1203	8	6	feature	feature	NOUN
cuesj-1203	8	7	extraction	extraction	NOUN
cuesj-1203	8	8	,	,	PUNCT
cuesj-1203	8	9	handwriting	handwriting	NOUN
cuesj-1203	8	10	recognition	recognition	NOUN
cuesj-1203	8	11	,	,	PUNCT
cuesj-1203	8	12	convolutional	convolutional	ADJ
cuesj-1203	8	13	neural	neural	ADJ
cuesj-1203	8	14	network	network	NOUN
cuesj-1203	8	15	,	,	PUNCT
cuesj-1203	8	16	long	long	ADJ
cuesj-1203	8	17	-	-	PUNCT
cuesj-1203	8	18	short	short	ADJ
cuesj-1203	8	19	term	term	NOUN
cuesj-1203	8	20	memory	memory	NOUN
cuesj-1203	8	21	.	.	PUNCT
cuesj-1203	9	1	introduction	introduction	NOUN
cuesj-1203	9	2	the	the	DET
cuesj-1203	9	3	exploration	exploration	NOUN
cuesj-1203	9	4	of	of	ADP
cuesj-1203	9	5	character	character	NOUN
cuesj-1203	9	6	recognition	recognition	NOUN
cuesj-1203	9	7	across	across	ADP
cuesj-1203	9	8	various	various	ADJ
cuesj-1203	9	9	languages	language	NOUN
cuesj-1203	9	10	has	have	AUX
cuesj-1203	9	11	been	be	AUX
cuesj-1203	9	12	extensively	extensively	ADV
cuesj-1203	9	13	conducted	conduct	VERB
cuesj-1203	9	14	by	by	ADP
cuesj-1203	9	15	researchers,[1	researchers,[1	NOUN
cuesj-1203	9	16	-	-	SYM
cuesj-1203	9	17	3	3	NUM
cuesj-1203	9	18	]	]	PUNCT
cuesj-1203	9	19	with	with	ADP
cuesj-1203	9	20	a	a	DET
cuesj-1203	9	21	notable	notable	ADJ
cuesj-1203	9	22	emphasis	emphasis	NOUN
cuesj-1203	9	23	on	on	ADP
cuesj-1203	9	24	handwritten	handwritten	ADJ
cuesj-1203	9	25	digit	digit	NOUN
cuesj-1203	9	26	identification	identification	NOUN
cuesj-1203	9	27	(	(	PUNCT
cuesj-1203	9	28	hdi	hdi	PROPN
cuesj-1203	9	29	)	)	PUNCT
cuesj-1203	9	30	.	.	PUNCT
cuesj-1203	10	1	in	in	ADP
cuesj-1203	10	2	the	the	DET
cuesj-1203	10	3	realm	realm	NOUN
cuesj-1203	10	4	of	of	ADP
cuesj-1203	10	5	information	information	NOUN
cuesj-1203	10	6	manipulation	manipulation	NOUN
cuesj-1203	10	7	,	,	PUNCT
cuesj-1203	10	8	hdi	hdi	PROPN
cuesj-1203	10	9	assumes	assume	VERB
cuesj-1203	10	10	a	a	DET
cuesj-1203	10	11	pivotal	pivotal	ADJ
cuesj-1203	10	12	role	role	NOUN
cuesj-1203	10	13	,	,	PUNCT
cuesj-1203	10	14	particularly	particularly	ADV
cuesj-1203	10	15	considering	consider	VERB
cuesj-1203	10	16	the	the	DET
cuesj-1203	10	17	abundance	abundance	NOUN
cuesj-1203	10	18	of	of	ADP
cuesj-1203	10	19	data	datum	NOUN
cuesj-1203	10	20	in	in	ADP
cuesj-1203	10	21	the	the	DET
cuesj-1203	10	22	form	form	NOUN
cuesj-1203	10	23	of	of	ADP
cuesj-1203	10	24	printed	print	VERB
cuesj-1203	10	25	text	text	NOUN
cuesj-1203	10	26	or	or	CCONJ
cuesj-1203	10	27	images.[4	images.[4	X
cuesj-1203	10	28	]	]	PUNCT
cuesj-1203	10	29	compared	compare	VERB
cuesj-1203	10	30	to	to	ADP
cuesj-1203	10	31	manual	manual	ADJ
cuesj-1203	10	32	processing	processing	NOUN
cuesj-1203	10	33	of	of	ADP
cuesj-1203	10	34	printed	print	VERB
cuesj-1203	10	35	material	material	NOUN
cuesj-1203	10	36	,	,	PUNCT
cuesj-1203	10	37	the	the	DET
cuesj-1203	10	38	analysis	analysis	NOUN
cuesj-1203	10	39	of	of	ADP
cuesj-1203	10	40	digital	digital	ADJ
cuesj-1203	10	41	information	information	NOUN
cuesj-1203	10	42	proves	prove	VERB
cuesj-1203	10	43	to	to	PART
cuesj-1203	10	44	be	be	AUX
cuesj-1203	10	45	a	a	DET
cuesj-1203	10	46	more	more	ADV
cuesj-1203	10	47	cost	cost	NOUN
cuesj-1203	10	48	-	-	PUNCT
cuesj-1203	10	49	effective	effective	ADJ
cuesj-1203	10	50	approach	approach	NOUN
cuesj-1203	10	51	.	.	PUNCT
cuesj-1203	11	1	the	the	DET
cuesj-1203	11	2	primary	primary	ADJ
cuesj-1203	11	3	goal	goal	NOUN
cuesj-1203	11	4	of	of	ADP
cuesj-1203	11	5	hdi	hdi	PROPN
cuesj-1203	11	6	algorithm	algorithm	NOUN
cuesj-1203	11	7	is	be	AUX
cuesj-1203	11	8	to	to	PART
cuesj-1203	11	9	identify	identify	VERB
cuesj-1203	11	10	and	and	CCONJ
cuesj-1203	11	11	translate	translate	VERB
cuesj-1203	11	12	handwritten	handwritten	ADJ
cuesj-1203	11	13	digits	digit	NOUN
cuesj-1203	11	14	into	into	ADP
cuesj-1203	11	15	machinereadable	machinereadable	ADJ
cuesj-1203	11	16	formats	format	NOUN
cuesj-1203	11	17	.	.	PUNCT
cuesj-1203	12	1	nowadays	nowadays	ADV
cuesj-1203	12	2	,	,	PUNCT
cuesj-1203	12	3	hdi	hdi	PROPN
cuesj-1203	12	4	has	have	AUX
cuesj-1203	12	5	garnered	garner	VERB
cuesj-1203	12	6	significant	significant	ADJ
cuesj-1203	12	7	attention	attention	NOUN
cuesj-1203	12	8	within	within	ADP
cuesj-1203	12	9	the	the	DET
cuesj-1203	12	10	research	research	NOUN
cuesj-1203	12	11	community	community	NOUN
cuesj-1203	12	12	due	due	ADP
cuesj-1203	12	13	to	to	ADP
cuesj-1203	12	14	its	its	PRON
cuesj-1203	12	15	diverse	diverse	NOUN
cuesj-1203	12	16	applications.[5,6	applications.[5,6	NOUN
cuesj-1203	12	17	]	]	X
cuesj-1203	12	18	hdi	hdi	NOUN
cuesj-1203	12	19	framework	framework	NOUN
cuesj-1203	12	20	exhibits	exhibit	VERB
cuesj-1203	12	21	the	the	DET
cuesj-1203	12	22	capability	capability	NOUN
cuesj-1203	12	23	to	to	ADP
cuesj-1203	12	24	decipher	decipher	ADJ
cuesj-1203	12	25	content	content	NOUN
cuesj-1203	12	26	on	on	ADP
cuesj-1203	12	27	printed	print	VERB
cuesj-1203	12	28	pages	page	NOUN
cuesj-1203	12	29	,	,	PUNCT
cuesj-1203	12	30	enabling	enable	VERB
cuesj-1203	12	31	researchers	researcher	NOUN
cuesj-1203	12	32	to	to	PART
cuesj-1203	12	33	uncover	uncover	VERB
cuesj-1203	12	34	valuable	valuable	ADJ
cuesj-1203	12	35	information	information	NOUN
cuesj-1203	12	36	stored	store	VERB
cuesj-1203	12	37	in	in	ADP
cuesj-1203	12	38	historical	historical	ADJ
cuesj-1203	12	39	documents	document	NOUN
cuesj-1203	12	40	and	and	CCONJ
cuesj-1203	12	41	files	file	NOUN
cuesj-1203	12	42	that	that	PRON
cuesj-1203	12	43	may	may	AUX
cuesj-1203	12	44	be	be	AUX
cuesj-1203	12	45	imperceptible	imperceptible	ADJ
cuesj-1203	12	46	to	to	ADP
cuesj-1203	12	47	the	the	DET
cuesj-1203	12	48	human	human	ADJ
cuesj-1203	12	49	eye	eye	NOUN
cuesj-1203	12	50	.	.	PUNCT
cuesj-1203	13	1	in	in	ADP
cuesj-1203	13	2	addition	addition	NOUN
cuesj-1203	13	3	,	,	PUNCT
cuesj-1203	13	4	hdi	hdi	PROPN
cuesj-1203	13	5	techniques	technique	NOUN
cuesj-1203	13	6	play	play	VERB
cuesj-1203	13	7	a	a	DET
cuesj-1203	13	8	crucial	crucial	ADJ
cuesj-1203	13	9	role	role	NOUN
cuesj-1203	13	10	in	in	ADP
cuesj-1203	13	11	the	the	DET
cuesj-1203	13	12	digital	digital	ADJ
cuesj-1203	13	13	transformation	transformation	NOUN
cuesj-1203	13	14	of	of	ADP
cuesj-1203	13	15	businesses	business	NOUN
cuesj-1203	13	16	and	and	CCONJ
cuesj-1203	13	17	institutions	institution	NOUN
cuesj-1203	13	18	.	.	PUNCT
cuesj-1203	14	1	automated	automate	VERB
cuesj-1203	14	2	hdi	hdi	PROPN
cuesj-1203	14	3	system	system	NOUN
cuesj-1203	14	4	contributes	contribute	VERB
cuesj-1203	14	5	to	to	ADP
cuesj-1203	14	6	various	various	ADJ
cuesj-1203	14	7	domains	domain	NOUN
cuesj-1203	14	8	,	,	PUNCT
cuesj-1203	14	9	such	such	ADJ
cuesj-1203	14	10	as	as	ADP
cuesj-1203	14	11	the	the	DET
cuesj-1203	14	12	automatic	automatic	ADJ
cuesj-1203	14	13	detection	detection	NOUN
cuesj-1203	14	14	of	of	ADP
cuesj-1203	14	15	vehicle	vehicle	NOUN
cuesj-1203	14	16	number	number	NOUN
cuesj-1203	14	17	plates,[7	plates,[7	NOUN
cuesj-1203	14	18	]	]	PUNCT
cuesj-1203	14	19	recognition	recognition	NOUN
cuesj-1203	14	20	of	of	ADP
cuesj-1203	14	21	digits	digit	NOUN
cuesj-1203	14	22	on	on	ADP
cuesj-1203	14	23	medical	medical	ADJ
cuesj-1203	14	24	receipts	receipt	NOUN
cuesj-1203	14	25	to	to	PART
cuesj-1203	14	26	assist	assist	VERB
cuesj-1203	14	27	chemists,[8	chemists,[8	NUM
cuesj-1203	14	28	]	]	PUNCT
cuesj-1203	14	29	and	and	CCONJ
cuesj-1203	14	30	aiding	aid	VERB
cuesj-1203	14	31	psychologists	psychologist	NOUN
cuesj-1203	14	32	in	in	ADP
cuesj-1203	14	33	analyzing	analyze	VERB
cuesj-1203	14	34	patient	patient	ADJ
cuesj-1203	14	35	personalities.[9	personalities.[9	NOUN
cuesj-1203	14	36	]	]	PUNCT
cuesj-1203	14	37	however	however	ADV
cuesj-1203	14	38	,	,	PUNCT
cuesj-1203	14	39	given	give	VERB
cuesj-1203	14	40	the	the	DET
cuesj-1203	14	41	substantial	substantial	ADJ
cuesj-1203	14	42	databases	database	NOUN
cuesj-1203	14	43	in	in	ADP
cuesj-1203	14	44	the	the	DET
cuesj-1203	14	45	aforementioned	aforementioned	ADJ
cuesj-1203	14	46	areas	area	NOUN
cuesj-1203	14	47	,	,	PUNCT
cuesj-1203	14	48	there	there	PRON
cuesj-1203	14	49	is	be	VERB
cuesj-1203	14	50	a	a	DET
cuesj-1203	14	51	pressing	press	VERB
cuesj-1203	14	52	need	need	NOUN
cuesj-1203	14	53	for	for	SCONJ
cuesj-1203	14	54	automated	automate	VERB
cuesj-1203	14	55	hdi	hdi	NOUN
cuesj-1203	14	56	system	system	NOUN
cuesj-1203	14	57	to	to	PART
cuesj-1203	14	58	be	be	AUX
cuesj-1203	14	59	efficient	efficient	ADJ
cuesj-1203	14	60	,	,	PUNCT
cuesj-1203	14	61	robust	robust	ADJ
cuesj-1203	14	62	,	,	PUNCT
cuesj-1203	14	63	and	and	CCONJ
cuesj-1203	14	64	capable	capable	ADJ
cuesj-1203	14	65	of	of	ADP
cuesj-1203	14	66	delivering	deliver	VERB
cuesj-1203	14	67	consistent	consistent	ADJ
cuesj-1203	14	68	results	result	NOUN
cuesj-1203	14	69	within	within	ADP
cuesj-1203	14	70	a	a	DET
cuesj-1203	14	71	minimal	minimal	ADJ
cuesj-1203	14	72	execution	execution	NOUN
cuesj-1203	14	73	time	time	NOUN
cuesj-1203	14	74	.	.	PUNCT
cuesj-1203	15	1	the	the	DET
cuesj-1203	15	2	conventional	conventional	ADJ
cuesj-1203	15	3	intelligent	intelligent	ADJ
cuesj-1203	15	4	approaches	approach	NOUN
cuesj-1203	15	5	including	include	VERB
cuesj-1203	15	6	support	support	NOUN
cuesj-1203	15	7	vector	vector	NOUN
cuesj-1203	15	8	machine	machine	NOUN
cuesj-1203	15	9	(	(	PUNCT
cuesj-1203	15	10	svm),[10,11	svm),[10,11	NOUN
cuesj-1203	15	11	]	]	X
cuesj-1203	15	12	random	random	ADJ
cuesj-1203	15	13	forest,[12	forest,[12	PROPN
cuesj-1203	15	14	]	]	X
cuesj-1203	15	15	decision	decision	NOUN
cuesj-1203	15	16	tree,[13	tree,[13	NOUN
cuesj-1203	15	17	]	]	PUNCT
cuesj-1203	15	18	etc	etc	X
cuesj-1203	15	19	.	.	X
cuesj-1203	15	20	,	,	PUNCT
cuesj-1203	15	21	have	have	AUX
cuesj-1203	15	22	shown	show	VERB
cuesj-1203	15	23	credibility	credibility	NOUN
cuesj-1203	15	24	for	for	ADP
cuesj-1203	15	25	hdi	hdi	PROPN
cuesj-1203	15	26	;	;	PUNCT
cuesj-1203	15	27	however	however	ADV
cuesj-1203	15	28	,	,	PUNCT
cuesj-1203	15	29	they	they	PRON
cuesj-1203	15	30	still	still	ADV
cuesj-1203	15	31	have	have	VERB
cuesj-1203	15	32	limitations	limitation	NOUN
cuesj-1203	15	33	in	in	ADP
cuesj-1203	15	34	handling	handle	VERB
cuesj-1203	15	35	the	the	DET
cuesj-1203	15	36	inherent	inherent	ADJ
cuesj-1203	15	37	diversity	diversity	NOUN
cuesj-1203	15	38	present	present	ADJ
cuesj-1203	15	39	in	in	ADP
cuesj-1203	15	40	individual	individual	ADJ
cuesj-1203	15	41	handwriting	handwriting	NOUN
cuesj-1203	15	42	stylesthe	stylesthe	ADJ
cuesj-1203	15	43	small	small	ADJ
cuesj-1203	15	44	differences	difference	NOUN
cuesj-1203	15	45	in	in	ADP
cuesj-1203	15	46	strokes	stroke	NOUN
cuesj-1203	15	47	of	of	ADP
cuesj-1203	15	48	pen	pen	NOUN
cuesj-1203	15	49	and	and	CCONJ
cuesj-1203	15	50	letter	letter	NOUN
cuesj-1203	15	51	shapes	shape	NOUN
cuesj-1203	15	52	make	make	VERB
cuesj-1203	15	53	handwriting	handwriting	NOUN
cuesj-1203	15	54	identification	identification	NOUN
cuesj-1203	15	55	difficult	difficult	ADJ
cuesj-1203	15	56	and	and	CCONJ
cuesj-1203	15	57	inaccurate	inaccurate	ADJ
cuesj-1203	15	58	.	.	PUNCT
cuesj-1203	16	1	in	in	ADP
cuesj-1203	16	2	addition	addition	NOUN
cuesj-1203	16	3	,	,	PUNCT
cuesj-1203	16	4	these	these	DET
cuesj-1203	16	5	methods	method	NOUN
cuesj-1203	16	6	have	have	VERB
cuesj-1203	16	7	challenges	challenge	NOUN
cuesj-1203	16	8	in	in	ADP
cuesj-1203	16	9	accurately	accurately	ADV
cuesj-1203	16	10	representing	represent	VERB
cuesj-1203	16	11	complex	complex	ADJ
cuesj-1203	16	12	functions	function	NOUN
cuesj-1203	16	13	and	and	CCONJ
cuesj-1203	16	14	processing	process	VERB
cuesj-1203	16	15	large	large	ADJ
cuesj-1203	16	16	datasets	dataset	NOUN
cuesj-1203	16	17	due	due	ADJ
cuesj-1203	16	18	the	the	DET
cuesj-1203	16	19	learning	learning	NOUN
cuesj-1203	16	20	capabilities	capability	NOUN
cuesj-1203	16	21	.	.	PUNCT
cuesj-1203	17	1	the	the	DET
cuesj-1203	17	2	efficacy	efficacy	NOUN
cuesj-1203	17	3	of	of	ADP
cuesj-1203	17	4	these	these	DET
cuesj-1203	17	5	approaches	approach	NOUN
cuesj-1203	17	6	in	in	ADP
cuesj-1203	17	7	classification	classification	NOUN
cuesj-1203	17	8	and	and	CCONJ
cuesj-1203	17	9	recognition	recognition	NOUN
cuesj-1203	17	10	is	be	AUX
cuesj-1203	17	11	affected	affect	VERB
cuesj-1203	17	12	by	by	ADP
cuesj-1203	17	13	the	the	DET
cuesj-1203	17	14	extraction	extraction	NOUN
cuesj-1203	17	15	of	of	ADP
cuesj-1203	17	16	features	feature	NOUN
cuesj-1203	17	17	from	from	ADP
cuesj-1203	17	18	the	the	DET
cuesj-1203	17	19	raw	raw	ADJ
cuesj-1203	17	20	data	datum	NOUN
cuesj-1203	17	21	.	.	PUNCT
cuesj-1203	18	1	thus	thus	ADV
cuesj-1203	18	2	,	,	PUNCT
cuesj-1203	18	3	there	there	PRON
cuesj-1203	18	4	is	be	VERB
cuesj-1203	18	5	a	a	DET
cuesj-1203	18	6	corresponding	corresponding	ADJ
cuesj-1203	18	7	author	author	NOUN
cuesj-1203	18	8	:	:	PUNCT
cuesj-1203	18	9	fatimatelbatoul	fatimatelbatoul	PROPN
cuesj-1203	18	10	m.	m.	NOUN
cuesj-1203	18	11	husari	husari	PROPN
cuesj-1203	18	12	,	,	PUNCT
cuesj-1203	18	13	department	department	NOUN
cuesj-1203	18	14	of	of	ADP
cuesj-1203	18	15	informatics	informatic	NOUN
cuesj-1203	18	16	and	and	CCONJ
cuesj-1203	18	17	software	software	NOUN
cuesj-1203	18	18	engineering	engineering	NOUN
cuesj-1203	18	19	,	,	PUNCT
cuesj-1203	18	20	faculty	faculty	NOUN
cuesj-1203	18	21	of	of	ADP
cuesj-1203	18	22	engineering	engineering	NOUN
cuesj-1203	18	23	,	,	PUNCT
cuesj-1203	18	24	cihan	cihan	VERB
cuesj-1203	18	25	university	university	NOUN
cuesj-1203	18	26	-	-	PUNCT
cuesj-1203	18	27	erbil	erbil	PROPN
cuesj-1203	18	28	,	,	PUNCT
cuesj-1203	18	29	kurdistan	kurdistan	PROPN
cuesj-1203	18	30	region	region	NOUN
cuesj-1203	18	31	,	,	PUNCT
cuesj-1203	18	32	iraq	iraq	PROPN
cuesj-1203	18	33	.	.	PUNCT
cuesj-1203	19	1	e	e	X
cuesj-1203	19	2	-	-	NOUN
cuesj-1203	19	3	mail	mail	NOUN
cuesj-1203	19	4	:	:	PUNCT
cuesj-1203	19	5	fatimatelbatoul.mahmoud@cihanuniversity.edu.iq	fatimatelbatoul.mahmoud@cihanuniversity.edu.iq	NOUN
cuesj-1203	19	6	received	receive	VERB
cuesj-1203	19	7	:	:	PUNCT
cuesj-1203	19	8	june	june	PROPN
cuesj-1203	19	9	06	06	NUM
cuesj-1203	19	10	,	,	PUNCT
cuesj-1203	19	11	2024	2024	NUM
cuesj-1203	19	12	accepted	accept	VERB
cuesj-1203	19	13	:	:	PUNCT
cuesj-1203	19	14	september	september	PROPN
cuesj-1203	19	15	12	12	NUM
cuesj-1203	19	16	,	,	PUNCT
cuesj-1203	19	17	2024	2024	NUM
cuesj-1203	19	18	published	publish	VERB
cuesj-1203	19	19	:	:	PUNCT
cuesj-1203	19	20	october	october	PROPN
cuesj-1203	19	21	01	01	NUM
cuesj-1203	19	22	,	,	PUNCT
cuesj-1203	19	23	2024	2024	NUM
cuesj-1203	19	24	doi	doi	NOUN
cuesj-1203	19	25	:	:	PUNCT
cuesj-1203	19	26	10.24086	10.24086	NUM
cuesj-1203	19	27	/	/	SYM
cuesj-1203	19	28	cuesj.v8n2y2024.pp99	cuesj.v8n2y2024.pp99	PROPN
cuesj-1203	19	29	-	-	PUNCT
cuesj-1203	19	30	103	103	NUM
cuesj-1203	19	31	copyright	copyright	NOUN
cuesj-1203	19	32	©	©	PROPN
cuesj-1203	19	33	2024	2024	NUM
cuesj-1203	19	34	fatimatelbatoul	fatimatelbatoul	ADJ
cuesj-1203	19	35	m.	m.	NOUN
cuesj-1203	19	36	husari	husari	NOUN
cuesj-1203	19	37	,	,	PUNCT
cuesj-1203	19	38	mohammed	mohammed	PROPN
cuesj-1203	19	39	a.	a.	NOUN
cuesj-1203	19	40	assaad	assaad	NOUN
cuesj-1203	19	41	.	.	PUNCT
cuesj-1203	20	1	this	this	PRON
cuesj-1203	20	2	is	be	AUX
cuesj-1203	20	3	an	an	DET
cuesj-1203	20	4	open	open	ADJ
cuesj-1203	20	5	-	-	PUNCT
cuesj-1203	20	6	access	access	NOUN
cuesj-1203	20	7	article	article	NOUN
cuesj-1203	20	8	distributed	distribute	VERB
cuesj-1203	20	9	under	under	ADP
cuesj-1203	20	10	the	the	DET
cuesj-1203	20	11	creative	creative	ADJ
cuesj-1203	20	12	commons	common	NOUN
cuesj-1203	20	13	attribution	attribution	NOUN
cuesj-1203	20	14	license	license	NOUN
cuesj-1203	20	15	.	.	PUNCT
cuesj-1203	21	1	cihan	cihan	VERB
cuesj-1203	21	2	university	university	NOUN
cuesj-1203	21	3	-	-	PUNCT
cuesj-1203	21	4	erbil	erbil	PROPN
cuesj-1203	21	5	scientific	scientific	ADJ
cuesj-1203	21	6	journal	journal	NOUN
cuesj-1203	21	7	(	(	PUNCT
cuesj-1203	21	8	cuesj	cuesj	PROPN
cuesj-1203	21	9	)	)	PUNCT
cuesj-1203	21	10	husari	husari	NOUN
cuesj-1203	21	11	and	and	CCONJ
cuesj-1203	21	12	assaad	assaad	NOUN
cuesj-1203	21	13	:	:	PUNCT
cuesj-1203	21	14	intelligent	intelligent	ADJ
cuesj-1203	21	15	handwritten	handwritten	ADJ
cuesj-1203	21	16	identification	identification	NOUN
cuesj-1203	21	17	using	use	VERB
cuesj-1203	21	18	novel	novel	ADJ
cuesj-1203	21	19	hybrid	hybrid	ADJ
cuesj-1203	21	20	cnn	cnn	PROPN
cuesj-1203	21	21	-	-	PUNCT
cuesj-1203	21	22	lstm	lstm	PROPN
cuesj-1203	21	23	model	model	NOUN
cuesj-1203	21	24	100	100	NUM
cuesj-1203	21	25	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1203	21	26	cuesj	cuesj	ADJ
cuesj-1203	21	27	2024	2024	NUM
cuesj-1203	21	28	,	,	PUNCT
cuesj-1203	21	29	8	8	NUM
cuesj-1203	21	30	(	(	PUNCT
cuesj-1203	21	31	2	2	NUM
cuesj-1203	21	32	):	):	PUNCT
cuesj-1203	21	33	99	99	NUM
cuesj-1203	21	34	-	-	SYM
cuesj-1203	21	35	103	103	NUM
cuesj-1203	21	36	need	need	NOUN
cuesj-1203	21	37	for	for	SCONJ
cuesj-1203	21	38	automatic	automatic	ADJ
cuesj-1203	21	39	feature	feature	NOUN
cuesj-1203	21	40	learning	learn	VERB
cuesj-1203	21	41	directly	directly	ADV
cuesj-1203	21	42	from	from	ADP
cuesj-1203	21	43	the	the	DET
cuesj-1203	21	44	collected	collect	VERB
cuesj-1203	21	45	data	datum	NOUN
cuesj-1203	21	46	.	.	PUNCT
cuesj-1203	22	1	to	to	PART
cuesj-1203	22	2	overcome	overcome	VERB
cuesj-1203	22	3	these	these	DET
cuesj-1203	22	4	disadvantages	disadvantage	NOUN
cuesj-1203	22	5	,	,	PUNCT
cuesj-1203	22	6	the	the	DET
cuesj-1203	22	7	development	development	NOUN
cuesj-1203	22	8	of	of	ADP
cuesj-1203	22	9	advanced	advanced	ADJ
cuesj-1203	22	10	models	model	NOUN
cuesj-1203	22	11	capable	capable	ADJ
cuesj-1203	22	12	of	of	ADP
cuesj-1203	22	13	acquiring	acquire	VERB
cuesj-1203	22	14	hierarchical	hierarchical	ADJ
cuesj-1203	22	15	features	feature	NOUN
cuesj-1203	22	16	and	and	CCONJ
cuesj-1203	22	17	capturing	capture	VERB
cuesj-1203	22	18	the	the	DET
cuesj-1203	22	19	temporal	temporal	ADJ
cuesj-1203	22	20	dependencies	dependency	NOUN
cuesj-1203	22	21	naturally	naturally	ADV
cuesj-1203	22	22	present	present	ADJ
cuesj-1203	22	23	in	in	ADP
cuesj-1203	22	24	handwritten	handwritten	ADJ
cuesj-1203	22	25	strokes	stroke	NOUN
cuesj-1203	22	26	is	be	AUX
cuesj-1203	22	27	necessary	necessary	ADJ
cuesj-1203	22	28	.	.	PUNCT
cuesj-1203	23	1	in	in	ADP
cuesj-1203	23	2	this	this	DET
cuesj-1203	23	3	work	work	NOUN
cuesj-1203	23	4	,	,	PUNCT
cuesj-1203	23	5	the	the	DET
cuesj-1203	23	6	novel	novel	ADJ
cuesj-1203	23	7	hybrid	hybrid	ADJ
cuesj-1203	23	8	deep	deep	ADJ
cuesj-1203	23	9	learning	learning	NOUN
cuesj-1203	23	10	models	model	NOUN
cuesj-1203	23	11	have	have	AUX
cuesj-1203	23	12	been	be	AUX
cuesj-1203	23	13	developed	develop	VERB
cuesj-1203	23	14	and	and	CCONJ
cuesj-1203	23	15	employed	employ	VERB
cuesj-1203	23	16	for	for	ADP
cuesj-1203	23	17	handwritten	handwritten	ADJ
cuesj-1203	23	18	digit	digit	NOUN
cuesj-1203	23	19	identification	identification	NOUN
cuesj-1203	23	20	,	,	PUNCT
cuesj-1203	23	21	namely	namely	ADV
cuesj-1203	23	22	two	two	NUM
cuesj-1203	23	23	-	-	PUNCT
cuesj-1203	23	24	dimension	dimension	NOUN
cuesj-1203	23	25	convolution	convolution	NOUN
cuesj-1203	23	26	neural	neural	ADJ
cuesj-1203	23	27	network	network	NOUN
cuesj-1203	23	28	and	and	CCONJ
cuesj-1203	23	29	long	long	ADJ
cuesj-1203	23	30	-	-	PUNCT
cuesj-1203	23	31	short	short	ADJ
cuesj-1203	23	32	-	-	PUNCT
cuesj-1203	23	33	term	term	NOUN
cuesj-1203	23	34	memory	memory	NOUN
cuesj-1203	23	35	(	(	PUNCT
cuesj-1203	23	36	lstm	lstm	NOUN
cuesj-1203	23	37	)	)	PUNCT
cuesj-1203	23	38	model	model	NOUN
cuesj-1203	23	39	.	.	PUNCT
cuesj-1203	24	1	this	this	DET
cuesj-1203	24	2	hybrid	hybrid	ADJ
cuesj-1203	24	3	structure	structure	NOUN
cuesj-1203	24	4	has	have	VERB
cuesj-1203	24	5	the	the	DET
cuesj-1203	24	6	capability	capability	NOUN
cuesj-1203	24	7	to	to	PART
cuesj-1203	24	8	automatically	automatically	ADV
cuesj-1203	24	9	acquire	acquire	VERB
cuesj-1203	24	10	features	feature	NOUN
cuesj-1203	24	11	,	,	PUNCT
cuesj-1203	24	12	resulting	result	VERB
cuesj-1203	24	13	in	in	ADP
cuesj-1203	24	14	an	an	DET
cuesj-1203	24	15	improved	improved	ADJ
cuesj-1203	24	16	data	data	NOUN
cuesj-1203	24	17	representation	representation	NOUN
cuesj-1203	24	18	for	for	ADP
cuesj-1203	24	19	handwritten	handwritten	ADJ
cuesj-1203	24	20	recognition	recognition	NOUN
cuesj-1203	24	21	.	.	PUNCT
cuesj-1203	25	1	the	the	DET
cuesj-1203	25	2	convolutional	convolutional	ADJ
cuesj-1203	25	3	neural	neural	ADJ
cuesj-1203	25	4	network	network	NOUN
cuesj-1203	25	5	(	(	PUNCT
cuesj-1203	25	6	cnn	cnn	PROPN
cuesj-1203	25	7	)	)	PUNCT
cuesj-1203	25	8	model	model	NOUN
cuesj-1203	25	9	employs	employ	VERB
cuesj-1203	25	10	convolutional	convolutional	ADJ
cuesj-1203	25	11	and	and	CCONJ
cuesj-1203	25	12	pooling	pool	VERB
cuesj-1203	25	13	layers	layer	NOUN
cuesj-1203	25	14	,	,	PUNCT
cuesj-1203	25	15	for	for	ADP
cuesj-1203	25	16	learning	learn	VERB
cuesj-1203	25	17	representations	representation	NOUN
cuesj-1203	25	18	directly	directly	ADV
cuesj-1203	25	19	from	from	ADP
cuesj-1203	25	20	raw	raw	ADJ
cuesj-1203	25	21	data	datum	NOUN
cuesj-1203	25	22	.	.	PUNCT
cuesj-1203	26	1	lstm	lstm	NOUN
cuesj-1203	26	2	models	model	NOUN
cuesj-1203	26	3	with	with	ADP
cuesj-1203	26	4	temporal	temporal	ADJ
cuesj-1203	26	5	memory	memory	NOUN
cuesj-1203	26	6	,	,	PUNCT
cuesj-1203	26	7	designed	design	VERB
cuesj-1203	26	8	for	for	ADP
cuesj-1203	26	9	sequential	sequential	ADJ
cuesj-1203	26	10	data	datum	NOUN
cuesj-1203	26	11	,	,	PUNCT
cuesj-1203	26	12	demonstrate	demonstrate	VERB
cuesj-1203	26	13	proficiency	proficiency	NOUN
cuesj-1203	26	14	in	in	ADP
cuesj-1203	26	15	temporal	temporal	ADJ
cuesj-1203	26	16	information	information	NOUN
cuesj-1203	26	17	encoding	encoding	NOUN
cuesj-1203	26	18	.	.	PUNCT
cuesj-1203	27	1	the	the	DET
cuesj-1203	27	2	integration	integration	NOUN
cuesj-1203	27	3	of	of	ADP
cuesj-1203	27	4	these	these	DET
cuesj-1203	27	5	architectures	architecture	NOUN
cuesj-1203	27	6	establishes	establish	VERB
cuesj-1203	27	7	a	a	DET
cuesj-1203	27	8	robust	robust	ADJ
cuesj-1203	27	9	framework	framework	NOUN
cuesj-1203	27	10	that	that	PRON
cuesj-1203	27	11	effectively	effectively	ADV
cuesj-1203	27	12	addresses	address	VERB
cuesj-1203	27	13	the	the	DET
cuesj-1203	27	14	challenges	challenge	NOUN
cuesj-1203	27	15	of	of	ADP
cuesj-1203	27	16	current	current	ADJ
cuesj-1203	27	17	methods	method	NOUN
cuesj-1203	27	18	,	,	PUNCT
cuesj-1203	27	19	resulting	result	VERB
cuesj-1203	27	20	in	in	ADP
cuesj-1203	27	21	improved	improved	ADJ
cuesj-1203	27	22	identification	identification	NOUN
cuesj-1203	27	23	performance	performance	NOUN
cuesj-1203	27	24	.	.	PUNCT
cuesj-1203	28	1	in	in	ADP
cuesj-1203	28	2	addition	addition	NOUN
cuesj-1203	28	3	,	,	PUNCT
cuesj-1203	28	4	the	the	DET
cuesj-1203	28	5	combination	combination	NOUN
cuesj-1203	28	6	of	of	ADP
cuesj-1203	28	7	2dcnn	2dcnn	NUM
cuesj-1203	28	8	and	and	CCONJ
cuesj-1203	28	9	lstm	lstm	NOUN
cuesj-1203	28	10	structures	structure	NOUN
cuesj-1203	28	11	aims	aim	VERB
cuesj-1203	28	12	to	to	PART
cuesj-1203	28	13	leverage	leverage	VERB
cuesj-1203	28	14	the	the	DET
cuesj-1203	28	15	strengths	strength	NOUN
cuesj-1203	28	16	of	of	ADP
cuesj-1203	28	17	both	both	DET
cuesj-1203	28	18	architectures	architecture	NOUN
cuesj-1203	28	19	to	to	PART
cuesj-1203	28	20	enhance	enhance	VERB
cuesj-1203	28	21	the	the	DET
cuesj-1203	28	22	performance	performance	NOUN
cuesj-1203	28	23	of	of	ADP
cuesj-1203	28	24	handwritten	handwritten	ADJ
cuesj-1203	28	25	recognition	recognition	NOUN
cuesj-1203	28	26	.	.	PUNCT
cuesj-1203	29	1	in	in	ADP
cuesj-1203	29	2	this	this	DET
cuesj-1203	29	3	work	work	NOUN
cuesj-1203	29	4	,	,	PUNCT
cuesj-1203	29	5	2dcnn	2dcnn	NUM
cuesj-1203	29	6	has	have	AUX
cuesj-1203	29	7	been	be	AUX
cuesj-1203	29	8	used	use	VERB
cuesj-1203	29	9	for	for	ADP
cuesj-1203	29	10	automatic	automatic	ADJ
cuesj-1203	29	11	extraction	extraction	NOUN
cuesj-1203	29	12	of	of	ADP
cuesj-1203	29	13	abstract	abstract	ADJ
cuesj-1203	29	14	features	feature	NOUN
cuesj-1203	29	15	(	(	PUNCT
cuesj-1203	29	16	spatial	spatial	ADJ
cuesj-1203	29	17	features	feature	NOUN
cuesj-1203	29	18	)	)	PUNCT
cuesj-1203	29	19	from	from	ADP
cuesj-1203	29	20	the	the	DET
cuesj-1203	29	21	image	image	NOUN
cuesj-1203	29	22	dataset	dataset	VERB
cuesj-1203	29	23	by	by	ADP
cuesj-1203	29	24	stacking	stack	VERB
cuesj-1203	29	25	multiple	multiple	ADJ
cuesj-1203	29	26	layers	layer	NOUN
cuesj-1203	29	27	of	of	ADP
cuesj-1203	29	28	convolution	convolution	NOUN
cuesj-1203	29	29	and	and	CCONJ
cuesj-1203	29	30	max	max	PROPN
cuesj-1203	29	31	-	-	PUNCT
cuesj-1203	29	32	pooling	pooling	NOUN
cuesj-1203	29	33	,	,	PUNCT
cuesj-1203	29	34	whereas	whereas	SCONJ
cuesj-1203	29	35	lstm	lstm	ADJ
cuesj-1203	29	36	is	be	AUX
cuesj-1203	29	37	used	use	VERB
cuesj-1203	29	38	for	for	ADP
cuesj-1203	29	39	capturing	capture	VERB
cuesj-1203	29	40	the	the	DET
cuesj-1203	29	41	temporal	temporal	ADJ
cuesj-1203	29	42	features	feature	NOUN
cuesj-1203	29	43	and	and	CCONJ
cuesj-1203	29	44	effectively	effectively	ADV
cuesj-1203	29	45	manage	manage	VERB
cuesj-1203	29	46	the	the	DET
cuesj-1203	29	47	images	image	NOUN
cuesj-1203	29	48	sequence	sequence	NOUN
cuesj-1203	29	49	due	due	ADP
cuesj-1203	29	50	to	to	ADP
cuesj-1203	29	51	the	the	DET
cuesj-1203	29	52	capabilities	capability	NOUN
cuesj-1203	29	53	of	of	ADP
cuesj-1203	29	54	long	long	ADJ
cuesj-1203	29	55	-	-	PUNCT
cuesj-1203	29	56	term	term	NOUN
cuesj-1203	29	57	memory	memory	NOUN
cuesj-1203	29	58	.	.	PUNCT
cuesj-1203	30	1	this	this	DET
cuesj-1203	30	2	paper	paper	NOUN
cuesj-1203	30	3	is	be	AUX
cuesj-1203	30	4	divided	divide	VERB
cuesj-1203	30	5	into	into	ADP
cuesj-1203	30	6	seven	seven	NUM
cuesj-1203	30	7	sections	section	NOUN
cuesj-1203	30	8	including	include	VERB
cuesj-1203	30	9	this	this	DET
cuesj-1203	30	10	section	section	NOUN
cuesj-1203	30	11	.	.	PUNCT
cuesj-1203	31	1	part	part	PROPN
cuesj-1203	31	2	ii	ii	PROPN
cuesj-1203	31	3	describes	describe	VERB
cuesj-1203	31	4	the	the	DET
cuesj-1203	31	5	proposed	propose	VERB
cuesj-1203	31	6	hybrid	hybrid	ADJ
cuesj-1203	31	7	cnn	cnn	PROPN
cuesj-1203	31	8	-	-	PUNCT
cuesj-1203	31	9	lstm	lstm	ADJ
cuesj-1203	31	10	structure	structure	NOUN
cuesj-1203	31	11	.	.	PUNCT
cuesj-1203	32	1	the	the	DET
cuesj-1203	32	2	comprehension	comprehension	NOUN
cuesj-1203	32	3	evaluation	evaluation	NOUN
cuesj-1203	32	4	findings	finding	NOUN
cuesj-1203	32	5	and	and	CCONJ
cuesj-1203	32	6	discussions	discussion	NOUN
cuesj-1203	32	7	are	be	AUX
cuesj-1203	32	8	presented	present	VERB
cuesj-1203	32	9	in	in	ADP
cuesj-1203	32	10	part	part	PROPN
cuesj-1203	32	11	iii	iii	PROPN
cuesj-1203	32	12	.	.	PUNCT
cuesj-1203	32	13	part	part	NOUN
cuesj-1203	32	14	v	v	ADP
cuesj-1203	32	15	summarizes	summarize	NOUN
cuesj-1203	32	16	the	the	DET
cuesj-1203	32	17	whole	whole	ADJ
cuesj-1203	32	18	work	work	NOUN
cuesj-1203	32	19	.	.	PUNCT
cuesj-1203	33	1	a	a	DET
cuesj-1203	33	2	detailed	detailed	ADJ
cuesj-1203	33	3	analysis	analysis	NOUN
cuesj-1203	33	4	of	of	ADP
cuesj-1203	33	5	the	the	DET
cuesj-1203	33	6	proposed	propose	VERB
cuesj-1203	33	7	hybrid	hybrid	ADJ
cuesj-1203	33	8	cnn	cnn	PROPN
cuesj-1203	33	9	-	-	PUNCT
cuesj-1203	33	10	lstm	lstm	ADJ
cuesj-1203	33	11	architecture	architecture	NOUN
cuesj-1203	33	12	the	the	DET
cuesj-1203	33	13	analytical	analytical	ADJ
cuesj-1203	33	14	description	description	NOUN
cuesj-1203	33	15	of	of	ADP
cuesj-1203	33	16	the	the	DET
cuesj-1203	33	17	proposed	propose	VERB
cuesj-1203	33	18	algorithm	algorithm	NOUN
cuesj-1203	33	19	cnn	cnn	PROPN
cuesj-1203	33	20	stands	stand	VERB
cuesj-1203	33	21	out	out	ADP
cuesj-1203	33	22	among	among	ADP
cuesj-1203	33	23	various	various	ADJ
cuesj-1203	33	24	deep	deep	ADJ
cuesj-1203	33	25	learning	learning	NOUN
cuesj-1203	33	26	techniques	technique	NOUN
cuesj-1203	33	27	and	and	CCONJ
cuesj-1203	33	28	has	have	AUX
cuesj-1203	33	29	demonstrated	demonstrate	VERB
cuesj-1203	33	30	significant	significant	ADJ
cuesj-1203	33	31	success	success	NOUN
cuesj-1203	33	32	in	in	ADP
cuesj-1203	33	33	intelligent	intelligent	ADJ
cuesj-1203	33	34	classification.[14	classification.[14	PROPN
cuesj-1203	33	35	]	]	PUNCT
cuesj-1203	33	36	in	in	ADP
cuesj-1203	33	37	addition	addition	NOUN
cuesj-1203	33	38	,	,	PUNCT
cuesj-1203	33	39	lstm	lstm	NOUN
cuesj-1203	33	40	is	be	AUX
cuesj-1203	33	41	introduced	introduce	VERB
cuesj-1203	33	42	to	to	PART
cuesj-1203	33	43	address	address	VERB
cuesj-1203	33	44	the	the	DET
cuesj-1203	33	45	limitations	limitation	NOUN
cuesj-1203	33	46	of	of	ADP
cuesj-1203	33	47	recurrent	recurrent	ADJ
cuesj-1203	33	48	neural	neural	ADJ
cuesj-1203	33	49	networks,[15,16	networks,[15,16	PROPN
cuesj-1203	33	50	]	]	PUNCT
cuesj-1203	33	51	particularly	particularly	ADV
cuesj-1203	33	52	in	in	ADP
cuesj-1203	33	53	handling	handle	VERB
cuesj-1203	33	54	long	long	ADJ
cuesj-1203	33	55	-	-	PUNCT
cuesj-1203	33	56	term	term	NOUN
cuesj-1203	33	57	dependencies	dependency	NOUN
cuesj-1203	33	58	within	within	ADP
cuesj-1203	33	59	data	datum	NOUN
cuesj-1203	33	60	,	,	PUNCT
cuesj-1203	33	61	making	make	VERB
cuesj-1203	33	62	it	it	PRON
cuesj-1203	33	63	a	a	DET
cuesj-1203	33	64	suitable	suitable	ADJ
cuesj-1203	33	65	solution	solution	NOUN
cuesj-1203	33	66	for	for	ADP
cuesj-1203	33	67	mitigating	mitigate	VERB
cuesj-1203	33	68	the	the	DET
cuesj-1203	33	69	vanishing	vanishing	NOUN
cuesj-1203	33	70	and	and	CCONJ
cuesj-1203	33	71	exploding	explode	VERB
cuesj-1203	33	72	gradient	gradient	ADJ
cuesj-1203	33	73	problem	problem	NOUN
cuesj-1203	33	74	.	.	PUNCT
cuesj-1203	34	1	the	the	DET
cuesj-1203	34	2	lstm	lstm	ADJ
cuesj-1203	34	3	architecture	architecture	NOUN
cuesj-1203	34	4	is	be	AUX
cuesj-1203	34	5	illustrated	illustrate	VERB
cuesj-1203	34	6	in	in	ADP
cuesj-1203	34	7	figure	figure	NOUN
cuesj-1203	34	8	1	1	NUM
cuesj-1203	34	9	.	.	PUNCT
cuesj-1203	35	1	lstm	lstm	NOUN
cuesj-1203	35	2	is	be	AUX
cuesj-1203	35	3	basically	basically	ADV
cuesj-1203	35	4	used	use	VERB
cuesj-1203	35	5	in	in	ADP
cuesj-1203	35	6	processing	process	VERB
cuesj-1203	35	7	sequential	sequential	ADJ
cuesj-1203	35	8	dataset	dataset	NOUN
cuesj-1203	35	9	and	and	CCONJ
cuesj-1203	35	10	has	have	AUX
cuesj-1203	35	11	achieved	achieve	VERB
cuesj-1203	35	12	remarkable	remarkable	ADJ
cuesj-1203	35	13	performance	performance	NOUN
cuesj-1203	35	14	in	in	ADP
cuesj-1203	35	15	various	various	ADJ
cuesj-1203	35	16	applications	application	NOUN
cuesj-1203	35	17	such	such	ADJ
cuesj-1203	35	18	as	as	ADP
cuesj-1203	35	19	translation	translation	NOUN
cuesj-1203	35	20	,	,	PUNCT
cuesj-1203	35	21	natural	natural	ADJ
cuesj-1203	35	22	language	language	NOUN
cuesj-1203	35	23	processing	processing	NOUN
cuesj-1203	35	24	,	,	PUNCT
cuesj-1203	35	25	and	and	CCONJ
cuesj-1203	35	26	sentiment	sentiment	NOUN
cuesj-1203	35	27	analysis	analysis	NOUN
cuesj-1203	35	28	.	.	PUNCT
cuesj-1203	36	1	for	for	ADP
cuesj-1203	36	2	mnist	mnist	NOUN
cuesj-1203	36	3	image	image	NOUN
cuesj-1203	36	4	dataset	dataset	NOUN
cuesj-1203	36	5	,	,	PUNCT
cuesj-1203	36	6	each	each	DET
cuesj-1203	36	7	image	image	NOUN
cuesj-1203	36	8	can	can	AUX
cuesj-1203	36	9	be	be	AUX
cuesj-1203	36	10	represented	represent	VERB
cuesj-1203	36	11	as	as	ADP
cuesj-1203	36	12	a	a	DET
cuesj-1203	36	13	sequence	sequence	NOUN
cuesj-1203	36	14	of	of	ADP
cuesj-1203	36	15	pixels	pixel	NOUN
cuesj-1203	36	16	.	.	PUNCT
cuesj-1203	37	1	lstm	lstm	NOUN
cuesj-1203	37	2	is	be	AUX
cuesj-1203	37	3	used	use	VERB
cuesj-1203	37	4	here	here	ADV
cuesj-1203	37	5	to	to	PART
cuesj-1203	37	6	capture	capture	VERB
cuesj-1203	37	7	the	the	DET
cuesj-1203	37	8	sequential	sequential	ADJ
cuesj-1203	37	9	nature	nature	NOUN
cuesj-1203	37	10	of	of	ADP
cuesj-1203	37	11	the	the	DET
cuesj-1203	37	12	image	image	NOUN
cuesj-1203	37	13	pixels	pixel	NOUN
cuesj-1203	37	14	and	and	CCONJ
cuesj-1203	37	15	recognize	recognize	VERB
cuesj-1203	37	16	the	the	DET
cuesj-1203	37	17	pattern	pattern	NOUN
cuesj-1203	37	18	.	.	PUNCT
cuesj-1203	38	1	hence	hence	ADV
cuesj-1203	38	2	,	,	PUNCT
cuesj-1203	38	3	combining	combine	VERB
cuesj-1203	38	4	cnn	cnn	PROPN
cuesj-1203	38	5	and	and	CCONJ
cuesj-1203	38	6	lstm	lstm	NOUN
cuesj-1203	38	7	into	into	ADP
cuesj-1203	38	8	one	one	NUM
cuesj-1203	38	9	single	single	ADJ
cuesj-1203	38	10	structure	structure	NOUN
cuesj-1203	38	11	is	be	AUX
cuesj-1203	38	12	a	a	DET
cuesj-1203	38	13	logical	logical	ADJ
cuesj-1203	38	14	choice	choice	NOUN
cuesj-1203	38	15	to	to	PART
cuesj-1203	38	16	leverage	leverage	VERB
cuesj-1203	38	17	the	the	DET
cuesj-1203	38	18	advantages	advantage	NOUN
cuesj-1203	38	19	of	of	ADP
cuesj-1203	38	20	both	both	PRON
cuesj-1203	38	21	in	in	ADP
cuesj-1203	38	22	handwritten	handwritten	ADJ
cuesj-1203	38	23	recognition	recognition	NOUN
cuesj-1203	38	24	.	.	PUNCT
cuesj-1203	39	1	for	for	ADP
cuesj-1203	39	2	a	a	DET
cuesj-1203	39	3	more	more	ADV
cuesj-1203	39	4	detailed	detailed	ADJ
cuesj-1203	39	5	analysis	analysis	NOUN
cuesj-1203	39	6	and	and	CCONJ
cuesj-1203	39	7	explanation	explanation	NOUN
cuesj-1203	39	8	,	,	PUNCT
cuesj-1203	39	9	the	the	DET
cuesj-1203	39	10	mathematical	mathematical	ADJ
cuesj-1203	39	11	analysis	analysis	NOUN
cuesj-1203	39	12	of	of	ADP
cuesj-1203	39	13	the	the	DET
cuesj-1203	39	14	hybrid	hybrid	ADJ
cuesj-1203	39	15	cnn	cnn	PROPN
cuesj-1203	39	16	-	-	PUNCT
cuesj-1203	39	17	lstm	lstm	ADJ
cuesj-1203	39	18	methodology	methodology	NOUN
cuesj-1203	39	19	can	can	AUX
cuesj-1203	39	20	be	be	AUX
cuesj-1203	39	21	described	describe	VERB
cuesj-1203	39	22	precisely	precisely	ADV
cuesj-1203	39	23	as	as	SCONJ
cuesj-1203	39	24	the	the	DET
cuesj-1203	39	25	following:[17	following:[17	NOUN
cuesj-1203	39	26	]	]	X
cuesj-1203	39	27	the	the	DET
cuesj-1203	39	28	mathematical	mathematical	ADJ
cuesj-1203	39	29	equation	equation	NOUN
cuesj-1203	39	30	of	of	ADP
cuesj-1203	39	31	the	the	DET
cuesj-1203	39	32	convolution	convolution	NOUN
cuesj-1203	39	33	operation	operation	NOUN
cuesj-1203	39	34	can	can	AUX
cuesj-1203	39	35	be	be	AUX
cuesj-1203	39	36	presented	present	VERB
cuesj-1203	39	37	as	as	ADP
cuesj-1203	39	38	:	:	PUNCT
cuesj-1203	39	39	conv	conv	ADJ
cuesj-1203	39	40	in	in	ADP
cuesj-1203	39	41	f	f	PROPN
cuesj-1203	39	42	fl	fl	PROPN
cuesj-1203	39	43	n	n	PROPN
cuesj-1203	39	44	x	x	SYM
cuesj-1203	39	45	y	y	PROPN
cuesj-1203	39	46	k	k	PROPN
cuesj-1203	39	47	mh	mh	PROPN
cuesj-1203	39	48	l	l	PROPN
cuesj-1203	39	49	n	n	PROPN
cuesj-1203	39	50	mw	mw	X
cuesj-1203	39	51	l	l	PROPN
cuesj-1203	39	52	j	j	PROPN
cuesj-1203	39	53	mc	mc	PROPN
cuesj-1203	39	54	l	l	PROPN
cuesj-1203	39	55	n−	n−	PROPN
cuesj-1203	39	56	[	[	PUNCT
cuesj-1203	39	57	]	]	X
cuesj-1203	39	58	(	(	PUNCT
cuesj-1203	39	59	)	)	PUNCT
cuesj-1203	40	1	=	=	SYM
cuesj-1203	40	2	−	−	PROPN
cuesj-1203	40	3	[	[	PUNCT
cuesj-1203	40	4	]	]	X
cuesj-1203	40	5	=	=	PUNCT
cuesj-1203	40	6	−	−	PROPN
cuesj-1203	40	7	[	[	PUNCT
cuesj-1203	41	1	]	]	X
cuesj-1203	41	2	=	=	PUNCT
cuesj-1203	41	3	−	−	PROPN
cuesj-1203	41	4	[	[	PUNCT
cuesj-1203	41	5	]	]	X
cuesj-1203	41	6	(	(	PUNCT
cuesj-1203	41	7	)	)	PUNCT
cuesj-1203	41	8	=	=	PUNCT
cuesj-1203	41	9	=	=	PUNCT
cuesj-1203	41	10	∑	∑	PUNCT
cuesj-1203	41	11	∑	∑	PUNCT
cuesj-1203	41	12	∑1	∑1	NOUN
cuesj-1203	41	13	1	1	NUM
cuesj-1203	41	14	1	1	NUM
cuesj-1203	41	15	1	1	NUM
cuesj-1203	41	16	1	1	NUM
cuesj-1203	41	17	1	1	NUM
cuesj-1203	41	18	1	1	NUM
cuesj-1203	41	19	,	,	PUNCT
cuesj-1203	41	20	,	,	PUNCT
cuesj-1203	41	21	(	(	PUNCT
cuesj-1203	41	22	(	(	PUNCT
cuesj-1203	41	23	)	)	PUNCT
cuesj-1203	41	24	−	−	PROPN
cuesj-1203	41	25	[	[	PUNCT
cuesj-1203	41	26	]	]	X
cuesj-1203	41	27	+	+	CCONJ
cuesj-1203	41	28	−	−	PROPN
cuesj-1203	42	1	+	+	CCONJ
cuesj-1203	42	2	−	−	PROPN
cuesj-1203	43	1	k	k	PROPN
cuesj-1203	43	2	n	n	PROPN
cuesj-1203	43	3	j	j	PROPN
cuesj-1203	43	4	l	l	NOUN
cuesj-1203	43	5	x	x	X
cuesj-1203	44	1	k	k	PROPN
cuesj-1203	44	2	y	y	PROPN
cuesj-1203	44	3	n	n	ADV
cuesj-1203	44	4	jin	jin	VERB
cuesj-1203	44	5	,	,	PUNCT
cuesj-1203	44	6	,	,	PUNCT
cuesj-1203	44	7	,	,	PUNCT
cuesj-1203	44	8	,	,	PUNCT
cuesj-1203	44	9	�	�	PROPN
cuesj-1203	44	10	1	1	NUM
cuesj-1203	44	11	1	1	NUM
cuesj-1203	44	12	1	1	NUM
cuesj-1203	44	13	∀	∀	NOUN
cuesj-1203	44	14	∈	∈	NOUN
cuesj-1203	44	15	…	…	PUNCT
cuesj-1203	44	16			NOUN
cuesj-1203	44	17			NOUN
cuesj-1203	44	18			PROPN
cuesj-1203	44	19			PROPN
cuesj-1203	44	20	[	[	PUNCT
cuesj-1203	44	21	]	]	X
cuesj-1203	44	22	n	n	CCONJ
cuesj-1203	44	23	mc	mc	PROPN
cuesj-1203	44	24	l1	l1	PROPN
cuesj-1203	44	25	2	2	NUM
cuesj-1203	44	26	,	,	PUNCT
cuesj-1203	44	27	,	,	PUNCT
cuesj-1203	44	28	,	,	PUNCT
cuesj-1203	44	29	shape	shape	NOUN
cuesj-1203	44	30	conv	conv	ADJ
cuesj-1203	44	31	in	in	ADP
cuesj-1203	44	32	f	f	PROPN
cuesj-1203	44	33	m	m	PROPN
cuesj-1203	44	34	mll	mll	PROPN
cuesj-1203	45	1	n	n	ADV
cuesj-1203	45	2	h	h	NOUN
cuesj-1203	45	3	l	l	PROPN
cuesj-1203	45	4	w	w	PROPN
cuesj-1203	45	5	l−	l−	PROPN
cuesj-1203	45	6	[	[	PUNCT
cuesj-1203	45	7	]	]	X
cuesj-1203	45	8	(	(	PUNCT
cuesj-1203	45	9	)	)	PUNCT
cuesj-1203	45	10	(	(	PUNCT
cuesj-1203	45	11	)	)	PUNCT
cuesj-1203	45	12	(	(	PUNCT
cuesj-1203	45	13	)	)	PUNCT
cuesj-1203	46	1	=	=	SYM
cuesj-1203	46	2	1	1	NUM
cuesj-1203	46	3	,	,	PUNCT
cuesj-1203	46	4	(	(	PUNCT
cuesj-1203	46	5	,	,	PUNCT
cuesj-1203	46	6	)	)	PUNCT
cuesj-1203	46	7	[	[	PUNCT
cuesj-1203	46	8	]	]	X
cuesj-1203	46	9	[	[	PUNCT
cuesj-1203	46	10	]	]	X
cuesj-1203	46	11	(	(	PUNCT
cuesj-1203	46	12	1	1	X
cuesj-1203	46	13	)	)	PUNCT
cuesj-1203	46	14	here	here	ADV
cuesj-1203	46	15	in[l-1	in[l-1	PROPN
cuesj-1203	46	16	]	]	X
cuesj-1203	46	17	denotes	denote	VERB
cuesj-1203	46	18	the	the	DET
cuesj-1203	46	19	input	input	NOUN
cuesj-1203	46	20	with	with	ADP
cuesj-1203	46	21	shape	shape	NOUN
cuesj-1203	46	22	(	(	PUNCT
cuesj-1203	46	23	mh	mh	PROPN
cuesj-1203	47	1	[	[	X
cuesj-1203	47	2	l-1	l-1	X
cuesj-1203	47	3	]	]	X
cuesj-1203	47	4	,	,	PUNCT
cuesj-1203	47	5	mw	mw	X
cuesj-1203	48	1	[	[	X
cuesj-1203	48	2	l-1	l-1	X
cuesj-1203	48	3	]	]	X
cuesj-1203	48	4	,	,	PUNCT
cuesj-1203	48	5	mc	mc	PROPN
cuesj-1203	49	1	[	[	X
cuesj-1203	49	2	l-1	l-1	X
cuesj-1203	49	3	]	]	X
cuesj-1203	49	4	)	)	PUNCT
cuesj-1203	49	5	for	for	ADP
cuesj-1203	49	6	[	[	X
cuesj-1203	49	7	l-1	l-1	X
cuesj-1203	49	8	]	]	X
cuesj-1203	49	9	layer	layer	NOUN
cuesj-1203	49	10	.	.	PUNCT
cuesj-1203	50	1	where	where	SCONJ
cuesj-1203	50	2	in[0	in[0	X
cuesj-1203	50	3	]	]	X
cuesj-1203	50	4	the	the	DET
cuesj-1203	50	5	input	input	NOUN
cuesj-1203	50	6	image	image	NOUN
cuesj-1203	50	7	.	.	PUNCT
cuesj-1203	51	1	for	for	ADP
cuesj-1203	51	2	l	l	NOUN
cuesj-1203	51	3	input	input	NOUN
cuesj-1203	51	4	layer	layer	NOUN
cuesj-1203	51	5	,	,	PUNCT
cuesj-1203	51	6	the	the	DET
cuesj-1203	51	7	convolution	convolution	NOUN
cuesj-1203	51	8	operation	operation	NOUN
cuesj-1203	51	9	between	between	ADP
cuesj-1203	51	10	in[l	in[l	PROPN
cuesj-1203	51	11	]	]	PUNCT
cuesj-1203	51	12	and	and	CCONJ
cuesj-1203	51	13	the	the	DET
cuesj-1203	51	14	filter	filter	NOUN
cuesj-1203	51	15	/	/	SYM
cuesj-1203	51	16	kernel	kernel	PROPN
cuesj-1203	51	17	f(n	f(n	PROPN
cuesj-1203	51	18	)	)	PUNCT
cuesj-1203	51	19	with	with	ADP
cuesj-1203	51	20	size	size	NOUN
cuesj-1203	51	21	mc	mc	PROPN
cuesj-1203	51	22	filter	filter	NOUN
cuesj-1203	51	23	number	number	NOUN
cuesj-1203	51	24	can	can	AUX
cuesj-1203	51	25	be	be	AUX
cuesj-1203	51	26	described	describe	VERB
cuesj-1203	51	27	as	as	SCONJ
cuesj-1203	51	28	follows	follow	VERB
cuesj-1203	51	29	:	:	PUNCT
cuesj-1203	52	1	in[l	in[l	ADJ
cuesj-1203	52	2	]	]	X
cuesj-1203	52	3	=	=	PUNCT
cuesj-1203	52	4	conv(in[l-1	conv(in[l-1	X
cuesj-1203	52	5	]	]	X
cuesj-1203	52	6	,	,	PUNCT
cuesj-1203	52	7	f^(1	f^(1	NOUN
cuesj-1203	52	8	)	)	PUNCT
cuesj-1203	52	9	)	)	PUNCT
cuesj-1203	52	10	,	,	PUNCT
cuesj-1203	52	11	conv(in[l-1	conv(in[l-1	X
cuesj-1203	52	12	]	]	X
cuesj-1203	52	13	,	,	PUNCT
cuesj-1203	52	14	f(2	f(2	PROPN
cuesj-1203	52	15	)	)	PUNCT
cuesj-1203	52	16	)	)	PUNCT
cuesj-1203	52	17	,	,	PUNCT
cuesj-1203	52	18	…	…	PUNCT
cuesj-1203	52	19	,	,	PUNCT
cuesj-1203	52	20	conv(in[l-1	conv(in[l-1	X
cuesj-1203	52	21	]	]	X
cuesj-1203	52	22	,	,	PUNCT
cuesj-1203	52	23	f(mc[l	f(mc[l	NOUN
cuesj-1203	52	24	]	]	PUNCT
cuesj-1203	52	25	)	)	PUNCT
cuesj-1203	52	26	)	)	PUNCT
cuesj-1203	53	1	shape(in[l	shape(in[l	ADJ
cuesj-1203	53	2	]	]	X
cuesj-1203	53	3	)	)	PUNCT
cuesj-1203	53	4	=	=	SYM
cuesj-1203	54	1	(	(	PUNCT
cuesj-1203	54	2	mh	mh	PROPN
cuesj-1203	54	3	[	[	X
cuesj-1203	54	4	l	l	X
cuesj-1203	54	5	]	]	X
cuesj-1203	54	6	,	,	PUNCT
cuesj-1203	54	7	mw	mw	X
cuesj-1203	54	8	[	[	X
cuesj-1203	54	9	l	l	X
cuesj-1203	54	10	]	]	X
cuesj-1203	54	11	,	,	PUNCT
cuesj-1203	54	12	mc	mc	PROPN
cuesj-1203	55	1	[	[	X
cuesj-1203	55	2	l	l	X
cuesj-1203	55	3	]	]	X
cuesj-1203	55	4	)	)	PUNCT
cuesj-1203	55	5	(	(	PUNCT
cuesj-1203	55	6	2	2	X
cuesj-1203	55	7	)	)	PUNCT
cuesj-1203	55	8	mh	mh	NOUN
cuesj-1203	56	1	[	[	X
cuesj-1203	56	2	l	l	X
cuesj-1203	56	3	]	]	X
cuesj-1203	56	4	,	,	PUNCT
cuesj-1203	56	5	mw	mw	X
cuesj-1203	57	1	[	[	X
cuesj-1203	57	2	l	l	X
cuesj-1203	57	3	]	]	X
cuesj-1203	57	4	,	,	PUNCT
cuesj-1203	57	5	mc	mc	PROPN
cuesj-1203	58	1	[	[	X
cuesj-1203	58	2	l	l	X
cuesj-1203	58	3	]	]	X
cuesj-1203	58	4	denote	denote	VERB
cuesj-1203	58	5	the	the	DET
cuesj-1203	58	6	height	height	NOUN
cuesj-1203	58	7	,	,	PUNCT
cuesj-1203	58	8	width	width	ADJ
cuesj-1203	58	9	,	,	PUNCT
cuesj-1203	58	10	and	and	CCONJ
cuesj-1203	58	11	channel	channel	NOUN
cuesj-1203	58	12	number	number	NOUN
cuesj-1203	58	13	of	of	ADP
cuesj-1203	58	14	the	the	DET
cuesj-1203	58	15	image	image	NOUN
cuesj-1203	58	16	at	at	ADP
cuesj-1203	58	17	lth	lth	NOUN
cuesj-1203	58	18	layer	layer	NOUN
cuesj-1203	58	19	,	,	PUNCT
cuesj-1203	58	20	respectively	respectively	ADV
cuesj-1203	58	21	.	.	PUNCT
cuesj-1203	59	1	further	far	ADV
cuesj-1203	59	2	,	,	PUNCT
cuesj-1203	59	3	the	the	DET
cuesj-1203	59	4	relu	relu	NOUN
cuesj-1203	59	5	activation	activation	NOUN
cuesj-1203	59	6	function	function	NOUN
cuesj-1203	59	7	is	be	AUX
cuesj-1203	59	8	followed	follow	VERB
cuesj-1203	59	9	:	:	PUNCT
cuesj-1203	60	1	in[l	in[l	ADJ
cuesj-1203	60	2	]	]	X
cuesj-1203	60	3	=	=	PUNCT
cuesj-1203	60	4	relu(in[l	relu(in[l	PROPN
cuesj-1203	60	5	]	]	PUNCT
cuesj-1203	60	6	)	)	PUNCT
cuesj-1203	60	7	(	(	PUNCT
cuesj-1203	60	8	3	3	X
cuesj-1203	60	9	)	)	PUNCT
cuesj-1203	60	10	the	the	DET
cuesj-1203	60	11	output	output	NOUN
cuesj-1203	60	12	shape	shape	NOUN
cuesj-1203	60	13	will	will	AUX
cuesj-1203	60	14	remain	remain	VERB
cuesj-1203	60	15	the	the	DET
cuesj-1203	60	16	same	same	ADJ
cuesj-1203	60	17	as	as	ADP
cuesj-1203	60	18	in	in	ADP
cuesj-1203	60	19	eq	eq	NOUN
cuesj-1203	60	20	(	(	PUNCT
cuesj-1203	60	21	2	2	NUM
cuesj-1203	60	22	)	)	PUNCT
cuesj-1203	60	23	.	.	PUNCT
cuesj-1203	61	1	after	after	ADP
cuesj-1203	61	2	that	that	PRON
cuesj-1203	61	3	,	,	PUNCT
cuesj-1203	61	4	the	the	DET
cuesj-1203	61	5	maxpooling	maxpoole	VERB
cuesj-1203	61	6	layer	layer	NOUN
cuesj-1203	61	7	is	be	AUX
cuesj-1203	61	8	used	use	VERB
cuesj-1203	61	9	for	for	ADP
cuesj-1203	61	10	reducing	reduce	VERB
cuesj-1203	61	11	the	the	DET
cuesj-1203	61	12	feature	feature	NOUN
cuesj-1203	61	13	’s	’s	PART
cuesj-1203	61	14	dimensionality	dimensionality	NOUN
cuesj-1203	61	15	,	,	PUNCT
cuesj-1203	61	16	which	which	PRON
cuesj-1203	61	17	in	in	ADP
cuesj-1203	61	18	turn	turn	NOUN
cuesj-1203	61	19	speed	speed	VERB
cuesj-1203	61	20	up	up	ADP
cuesj-1203	61	21	the	the	DET
cuesj-1203	61	22	training	training	NOUN
cuesj-1203	61	23	process	process	NOUN
cuesj-1203	61	24	.	.	PUNCT
cuesj-1203	62	1	maxpooling	maxpoole	VERB
cuesj-1203	62	2	operation	operation	NOUN
cuesj-1203	62	3	can	can	AUX
cuesj-1203	62	4	be	be	AUX
cuesj-1203	62	5	expressed	express	VERB
cuesj-1203	62	6	as	as	ADP
cuesj-1203	62	7	:	:	PUNCT
cuesj-1203	62	8	pooling(in[l])x	pooling(in[l])x	NOUN
cuesj-1203	62	9	,	,	PUNCT
cuesj-1203	62	10	y	y	NOUN
cuesj-1203	62	11	,	,	PUNCT
cuesj-1203	62	12	z	z	NOUN
cuesj-1203	62	13	=	=	SYM
cuesj-1203	62	14	max((in[l	max((in[l	ADJ
cuesj-1203	62	15	]	]	X
cuesj-1203	62	16	x+k-1,y+n-1,z)k	x+k-1,y+n-1,z)k	PROPN
cuesj-1203	62	17	,	,	PUNCT
cuesj-1203	62	18	n∈[1,2,	n∈[1,2,	PROPN
cuesj-1203	62	19	…	…	PUNCT
cuesj-1203	62	20	,p[l	,p[l	ADJ
cuesj-1203	62	21	]	]	X
cuesj-1203	62	22	]	]	X
cuesj-1203	62	23	)	)	PUNCT
cuesj-1203	62	24	(	(	PUNCT
cuesj-1203	62	25	4	4	X
cuesj-1203	62	26	)	)	PUNCT
cuesj-1203	62	27	where	where	SCONJ
cuesj-1203	62	28	p[l	p[l	X
cuesj-1203	62	29	]	]	X
cuesj-1203	62	30	is	be	AUX
cuesj-1203	62	31	the	the	DET
cuesj-1203	62	32	size	size	NOUN
cuesj-1203	62	33	of	of	ADP
cuesj-1203	62	34	pooling	pool	VERB
cuesj-1203	62	35	window	window	NOUN
cuesj-1203	62	36	for	for	ADP
cuesj-1203	62	37	lth	lth	NOUN
cuesj-1203	62	38	layer	layer	NOUN
cuesj-1203	62	39	.	.	PUNCT
cuesj-1203	63	1	the	the	DET
cuesj-1203	63	2	output	output	NOUN
cuesj-1203	63	3	of	of	ADP
cuesj-1203	63	4	final	final	ADJ
cuesj-1203	63	5	layer	layer	NOUN
cuesj-1203	63	6	is	be	AUX
cuesj-1203	63	7	converted	convert	VERB
cuesj-1203	63	8	to	to	ADP
cuesj-1203	63	9	one	one	NUM
cuesj-1203	63	10	-	-	PUNCT
cuesj-1203	63	11	dimensional	dimensional	ADJ
cuesj-1203	63	12	vector	vector	NOUN
cuesj-1203	63	13	,	,	PUNCT
cuesj-1203	63	14	presented	present	VERB
cuesj-1203	63	15	as	as	ADP
cuesj-1203	63	16	(	(	PUNCT
cuesj-1203	63	17	x[l	x[l	NUM
cuesj-1203	63	18	]	]	X
cuesj-1203	63	19	n	n	CCONJ
cuesj-1203	63	20	)	)	PUNCT
cuesj-1203	63	21	with	with	ADP
cuesj-1203	63	22	n	n	DET
cuesj-1203	63	23	neuron	neuron	NOUN
cuesj-1203	63	24	.	.	PUNCT
cuesj-1203	64	1	this	this	DET
cuesj-1203	64	2	xn	xn	PROPN
cuesj-1203	64	3	vector	vector	NOUN
cuesj-1203	64	4	represents	represent	VERB
cuesj-1203	64	5	the	the	DET
cuesj-1203	64	6	main	main	ADJ
cuesj-1203	64	7	features	feature	NOUN
cuesj-1203	64	8	extracted	extract	VERB
cuesj-1203	64	9	by	by	ADP
cuesj-1203	64	10	cnn	cnn	PROPN
cuesj-1203	64	11	layer	layer	NOUN
cuesj-1203	64	12	and	and	CCONJ
cuesj-1203	64	13	is	be	AUX
cuesj-1203	64	14	directly	directly	ADV
cuesj-1203	64	15	inputted	inputte	VERB
cuesj-1203	64	16	into	into	ADP
cuesj-1203	64	17	lstm	lstm	ADJ
cuesj-1203	64	18	layer	layer	NOUN
cuesj-1203	64	19	as	as	SCONJ
cuesj-1203	64	20	described	describe	VERB
cuesj-1203	64	21	in	in	ADP
cuesj-1203	64	22	the	the	DET
cuesj-1203	64	23	following	follow	VERB
cuesj-1203	64	24	analysis	analysis	NOUN
cuesj-1203	64	25	equation	equation	NOUN
cuesj-1203	64	26	:	:	PUNCT
cuesj-1203	64	27	figure	figure	NOUN
cuesj-1203	64	28	1	1	NUM
cuesj-1203	64	29	:	:	PUNCT
cuesj-1203	64	30	basic	basic	ADJ
cuesj-1203	64	31	structure	structure	NOUN
cuesj-1203	64	32	of	of	ADP
cuesj-1203	64	33	long	long	ADJ
cuesj-1203	64	34	-	-	PUNCT
cuesj-1203	64	35	short	short	ADJ
cuesj-1203	64	36	-	-	PUNCT
cuesj-1203	64	37	term	term	NOUN
cuesj-1203	64	38	memory	memory	NOUN
cuesj-1203	64	39	model	model	NOUN
cuesj-1203	64	40	husari	husari	ADJ
cuesj-1203	64	41	and	and	CCONJ
cuesj-1203	64	42	assaad	assaad	NOUN
cuesj-1203	64	43	:	:	PUNCT
cuesj-1203	64	44	intelligent	intelligent	ADJ
cuesj-1203	64	45	handwritten	handwritten	ADJ
cuesj-1203	64	46	identification	identification	NOUN
cuesj-1203	64	47	using	use	VERB
cuesj-1203	64	48	novel	novel	ADJ
cuesj-1203	64	49	hybrid	hybrid	ADJ
cuesj-1203	64	50	cnn	cnn	PROPN
cuesj-1203	64	51	-	-	PUNCT
cuesj-1203	64	52	lstm	lstm	PROPN
cuesj-1203	64	53	model	model	NOUN
cuesj-1203	64	54	101	101	NUM
cuesj-1203	64	55	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1203	64	56	cuesj	cuesj	ADJ
cuesj-1203	64	57	2024	2024	NUM
cuesj-1203	64	58	,	,	PUNCT
cuesj-1203	64	59	8	8	NUM
cuesj-1203	64	60	(	(	PUNCT
cuesj-1203	64	61	2	2	NUM
cuesj-1203	64	62	):	):	PUNCT
cuesj-1203	64	63	99	99	NUM
cuesj-1203	64	64	-	-	SYM
cuesj-1203	64	65	103	103	NUM
cuesj-1203	64	66	the	the	DET
cuesj-1203	64	67	initial	initial	ADJ
cuesj-1203	64	68	step	step	NOUN
cuesj-1203	64	69	is	be	AUX
cuesj-1203	64	70	deciding	decide	VERB
cuesj-1203	64	71	which	which	DET
cuesj-1203	64	72	information	information	NOUN
cuesj-1203	64	73	will	will	AUX
cuesj-1203	64	74	be	be	AUX
cuesj-1203	64	75	excluded	exclude	VERB
cuesj-1203	64	76	from	from	ADP
cuesj-1203	64	77	the	the	DET
cuesj-1203	64	78	previous	previous	ADJ
cuesj-1203	64	79	cell	cell	NOUN
cuesj-1203	64	80	state	state	NOUN
cuesj-1203	64	81	ct-1	ct-1	PUNCT
cuesj-1203	64	82	using	use	VERB
cuesj-1203	64	83	forget	forget	VERB
cuesj-1203	64	84	gate	gate	PROPN
cuesj-1203	64	85	f1	f1	PROPN
cuesj-1203	64	86	.	.	PUNCT
cuesj-1203	65	1	the	the	DET
cuesj-1203	65	2	forget	forget	PROPN
cuesj-1203	65	3	gate	gate	PROPN
cuesj-1203	65	4	applies	apply	VERB
cuesj-1203	65	5	sigmoid	sigmoid	NOUN
cuesj-1203	65	6	function	function	NOUN
cuesj-1203	65	7	to	to	ADP
cuesj-1203	65	8	the	the	DET
cuesj-1203	65	9	previous	previous	ADJ
cuesj-1203	65	10	output	output	NOUN
cuesj-1203	65	11	ht-1	ht-1	X
cuesj-1203	65	12	and	and	CCONJ
cuesj-1203	65	13	the	the	DET
cuesj-1203	65	14	feature	feature	NOUN
cuesj-1203	65	15	vector	vector	NOUN
cuesj-1203	65	16	xn	xn	PROPN
cuesj-1203	65	17	to	to	PART
cuesj-1203	65	18	change	change	VERB
cuesj-1203	65	19	the	the	DET
cuesj-1203	65	20	learning	learning	NOUN
cuesj-1203	65	21	parameters	parameter	NOUN
cuesj-1203	65	22	weights	weight	VERB
cuesj-1203	65	23	wf	wf	PROPN
cuesj-1203	65	24	and	and	CCONJ
cuesj-1203	65	25	bias	bias	VERB
cuesj-1203	65	26	bf	bf	NOUN
cuesj-1203	65	27	of	of	ADP
cuesj-1203	65	28	forget	forget	PROPN
cuesj-1203	65	29	gate	gate	NOUN
cuesj-1203	65	30	.	.	PUNCT
cuesj-1203	66	1	f1	f1	NOUN
cuesj-1203	66	2	=	=	PUNCT
cuesj-1203	66	3	sig(wf	sig(wf	NOUN
cuesj-1203	66	4	[	[	X
cuesj-1203	66	5	ht-1	ht-1	X
cuesj-1203	66	6	,	,	PUNCT
cuesj-1203	66	7	xn|]+bf	xn|]+bf	PROPN
cuesj-1203	66	8	)	)	PUNCT
cuesj-1203	66	9	(	(	PUNCT
cuesj-1203	66	10	5	5	NUM
cuesj-1203	66	11	)	)	PUNCT
cuesj-1203	66	12	after	after	ADP
cuesj-1203	66	13	that	that	PRON
cuesj-1203	66	14	,	,	PUNCT
cuesj-1203	66	15	the	the	DET
cuesj-1203	66	16	new	new	ADJ
cuesj-1203	66	17	data	datum	NOUN
cuesj-1203	66	18	can	can	AUX
cuesj-1203	66	19	be	be	AUX
cuesj-1203	66	20	appended	append	VERB
cuesj-1203	66	21	to	to	ADP
cuesj-1203	66	22	the	the	DET
cuesj-1203	66	23	current	current	ADJ
cuesj-1203	66	24	cell	cell	NOUN
cuesj-1203	66	25	state	state	NOUN
cuesj-1203	66	26	ct	ct	NOUN
cuesj-1203	66	27	using	use	VERB
cuesj-1203	66	28	input	input	NOUN
cuesj-1203	66	29	gate	gate	NOUN
cuesj-1203	66	30	f2	f2	PROPN
cuesj-1203	66	31	,	,	PUNCT
cuesj-1203	66	32	where	where	SCONJ
cuesj-1203	66	33	f2	f2	PROPN
cuesj-1203	66	34	is	be	AUX
cuesj-1203	66	35	multiplication	multiplication	NOUN
cuesj-1203	66	36	u	u	NOUN
cuesj-1203	66	37	(	(	PUNCT
cuesj-1203	66	38	using	use	VERB
cuesj-1203	66	39	sigmoid	sigmoid	NOUN
cuesj-1203	66	40	to	to	PART
cuesj-1203	66	41	update	update	VERB
cuesj-1203	66	42	the	the	DET
cuesj-1203	66	43	values	value	NOUN
cuesj-1203	66	44	)	)	PUNCT
cuesj-1203	66	45	and	and	CCONJ
cuesj-1203	66	46	n	n	CCONJ
cuesj-1203	66	47	(	(	PUNCT
cuesj-1203	66	48	using	use	VERB
cuesj-1203	66	49	tanh	tanh	NOUN
cuesj-1203	66	50	to	to	PART
cuesj-1203	66	51	create	create	VERB
cuesj-1203	66	52	new	new	ADJ
cuesj-1203	66	53	values	value	NOUN
cuesj-1203	66	54	)	)	PUNCT
cuesj-1203	66	55	u	u	NOUN
cuesj-1203	66	56	=	=	SYM
cuesj-1203	66	57	sig(wu	sig(wu	X
cuesj-1203	66	58	[	[	X
cuesj-1203	66	59	ht-1	ht-1	X
cuesj-1203	66	60	,	,	PUNCT
cuesj-1203	66	61	xn|]+bu	xn|]+bu	PROPN
cuesj-1203	66	62	)	)	PUNCT
cuesj-1203	66	63	(	(	PUNCT
cuesj-1203	66	64	6	6	NUM
cuesj-1203	66	65	)	)	PUNCT
cuesj-1203	66	66	n	n	NOUN
cuesj-1203	66	67	=	=	SYM
cuesj-1203	66	68	tanh(wn	tanh(wn	PROPN
cuesj-1203	66	69	[	[	X
cuesj-1203	66	70	ht-1	ht-1	X
cuesj-1203	66	71	,	,	PUNCT
cuesj-1203	66	72	xn|]+bn	xn|]+bn	PROPN
cuesj-1203	66	73	)	)	PUNCT
cuesj-1203	66	74	(	(	PUNCT
cuesj-1203	66	75	7	7	X
cuesj-1203	66	76	)	)	PUNCT
cuesj-1203	66	77	f2	f2	PROPN
cuesj-1203	66	78	=	=	SYM
cuesj-1203	66	79	u*n	u*n	PROPN
cuesj-1203	66	80	here	here	ADV
cuesj-1203	66	81	,	,	PUNCT
cuesj-1203	66	82	wu	wu	PROPN
cuesj-1203	66	83	,	,	PUNCT
cuesj-1203	66	84	wn	wn	PROPN
cuesj-1203	66	85	,	,	PUNCT
cuesj-1203	66	86	bu	bu	ADP
cuesj-1203	66	87	,	,	PUNCT
cuesj-1203	66	88	and	and	CCONJ
cuesj-1203	66	89	bn	bn	X
cuesj-1203	66	90	are	be	VERB
cuesj-1203	66	91	the	the	DET
cuesj-1203	66	92	weights	weight	NOUN
cuesj-1203	66	93	and	and	CCONJ
cuesj-1203	66	94	biases	bias	NOUN
cuesj-1203	66	95	,	,	PUNCT
cuesj-1203	66	96	respectively	respectively	ADV
cuesj-1203	66	97	.	.	PUNCT
cuesj-1203	67	1	then	then	ADV
cuesj-1203	67	2	,	,	PUNCT
cuesj-1203	67	3	the	the	DET
cuesj-1203	67	4	new	new	ADJ
cuesj-1203	67	5	and	and	CCONJ
cuesj-1203	67	6	updated	update	VERB
cuesj-1203	67	7	information	information	NOUN
cuesj-1203	67	8	are	be	AUX
cuesj-1203	67	9	added	add	VERB
cuesj-1203	67	10	to	to	ADP
cuesj-1203	67	11	the	the	DET
cuesj-1203	67	12	new	new	ADJ
cuesj-1203	67	13	current	current	ADJ
cuesj-1203	67	14	cell	cell	NOUN
cuesj-1203	67	15	state	state	NOUN
cuesj-1203	67	16	as	as	SCONJ
cuesj-1203	67	17	follows	follow	VERB
cuesj-1203	67	18	:	:	PUNCT
cuesj-1203	67	19	ct	ct	NUM
cuesj-1203	67	20	=	=	PUNCT
cuesj-1203	67	21	f1*ct-1+f2	f1*ct-1+f2	PROPN
cuesj-1203	67	22	(	(	PUNCT
cuesj-1203	67	23	8)	8)	NUM
cuesj-1203	67	24	the	the	DET
cuesj-1203	67	25	final	final	ADJ
cuesj-1203	67	26	step	step	NOUN
cuesj-1203	67	27	is	be	AUX
cuesj-1203	67	28	to	to	PART
cuesj-1203	67	29	decide	decide	VERB
cuesj-1203	67	30	which	which	DET
cuesj-1203	67	31	part	part	NOUN
cuesj-1203	67	32	of	of	ADP
cuesj-1203	67	33	cell	cell	NOUN
cuesj-1203	67	34	state	state	NOUN
cuesj-1203	67	35	will	will	AUX
cuesj-1203	67	36	be	be	AUX
cuesj-1203	67	37	the	the	DET
cuesj-1203	67	38	final	final	ADJ
cuesj-1203	67	39	output	output	NOUN
cuesj-1203	67	40	ht	ht	NOUN
cuesj-1203	67	41	using	use	VERB
cuesj-1203	67	42	sigmoid	sigmoid	NOUN
cuesj-1203	67	43	function	function	NOUN
cuesj-1203	67	44	and	and	CCONJ
cuesj-1203	67	45	tanh	tanh	NOUN
cuesj-1203	67	46	function	function	NOUN
cuesj-1203	67	47	as	as	ADP
cuesj-1203	67	48	:	:	PUNCT
cuesj-1203	67	49	f3	f3	NOUN
cuesj-1203	67	50	=	=	SYM
cuesj-1203	67	51	sig(wo	sig(wo	PROPN
cuesj-1203	67	52	[	[	X
cuesj-1203	67	53	ht-1	ht-1	ADJ
cuesj-1203	67	54	,	,	PUNCT
cuesj-1203	67	55	xn]+b0	xn]+b0	PROPN
cuesj-1203	67	56	)	)	PUNCT
cuesj-1203	67	57	ht	ht	NOUN
cuesj-1203	67	58	=	=	SYM
cuesj-1203	67	59	f3	f3	PROPN
cuesj-1203	67	60	*	*	PUNCT
cuesj-1203	67	61	tanh(ct	tanh(ct	NOUN
cuesj-1203	67	62	)	)	PUNCT
cuesj-1203	67	63	(	(	PUNCT
cuesj-1203	67	64	9	9	X
cuesj-1203	67	65	)	)	PUNCT
cuesj-1203	67	66	hybrid	hybrid	ADJ
cuesj-1203	67	67	2dcnn	2dcnn	NUM
cuesj-1203	67	68	-	-	PUNCT
cuesj-1203	67	69	lstm	lstm	ADJ
cuesj-1203	67	70	framework	framework	NOUN
cuesj-1203	67	71	figure	figure	NOUN
cuesj-1203	67	72	2	2	NUM
cuesj-1203	67	73	illustrates	illustrate	VERB
cuesj-1203	67	74	the	the	DET
cuesj-1203	67	75	hybrid	hybrid	ADJ
cuesj-1203	67	76	2dcnn	2dcnn	NUM
cuesj-1203	67	77	-	-	PUNCT
cuesj-1203	67	78	lstm	lstm	ADJ
cuesj-1203	67	79	model	model	NOUN
cuesj-1203	67	80	.	.	PUNCT
cuesj-1203	68	1	this	this	DET
cuesj-1203	68	2	model	model	NOUN
cuesj-1203	68	3	is	be	AUX
cuesj-1203	68	4	specifically	specifically	ADV
cuesj-1203	68	5	crafted	craft	VERB
cuesj-1203	68	6	for	for	ADP
cuesj-1203	68	7	handwritten	handwritten	ADJ
cuesj-1203	68	8	recognition	recognition	NOUN
cuesj-1203	68	9	and	and	CCONJ
cuesj-1203	68	10	identification	identification	NOUN
cuesj-1203	68	11	.	.	PUNCT
cuesj-1203	69	1	leveraging	leverage	VERB
cuesj-1203	69	2	the	the	DET
cuesj-1203	69	3	well	well	ADV
cuesj-1203	69	4	-	-	PUNCT
cuesj-1203	69	5	established	establish	VERB
cuesj-1203	69	6	lenet-5	lenet-5	NUM
cuesj-1203	69	7	structure	structure	NOUN
cuesj-1203	69	8	,	,	PUNCT
cuesj-1203	69	9	a	a	DET
cuesj-1203	69	10	widely	widely	ADV
cuesj-1203	69	11	employed	employ	VERB
cuesj-1203	69	12	cnn	cnn	NOUN
cuesj-1203	69	13	architecture	architecture	NOUN
cuesj-1203	69	14	is	be	AUX
cuesj-1203	69	15	known	know	VERB
cuesj-1203	69	16	for	for	ADP
cuesj-1203	69	17	its	its	PRON
cuesj-1203	69	18	noteworthy	noteworthy	ADJ
cuesj-1203	69	19	identification	identification	NOUN
cuesj-1203	69	20	and	and	CCONJ
cuesj-1203	69	21	classification	classification	NOUN
cuesj-1203	69	22	capabilities.[18	capabilities.[18	NOUN
cuesj-1203	69	23	]	]	PUNCT
cuesj-1203	69	24	the	the	DET
cuesj-1203	69	25	proposed	propose	VERB
cuesj-1203	69	26	framework	framework	NOUN
cuesj-1203	69	27	is	be	AUX
cuesj-1203	69	28	structured	structure	VERB
cuesj-1203	69	29	as	as	SCONJ
cuesj-1203	69	30	follows	follow	VERB
cuesj-1203	69	31	:	:	PUNCT
cuesj-1203	69	32	initially	initially	ADV
cuesj-1203	69	33	,	,	PUNCT
cuesj-1203	69	34	cnn	cnn	PROPN
cuesj-1203	69	35	is	be	AUX
cuesj-1203	69	36	employed	employ	VERB
cuesj-1203	69	37	to	to	PART
cuesj-1203	69	38	extract	extract	VERB
cuesj-1203	69	39	meaningful	meaningful	ADJ
cuesj-1203	69	40	features	feature	NOUN
cuesj-1203	69	41	from	from	ADP
cuesj-1203	69	42	the	the	DET
cuesj-1203	69	43	mnist	mnist	NOUN
cuesj-1203	69	44	images	image	NOUN
cuesj-1203	69	45	dataset	dataset	VERB
cuesj-1203	69	46	for	for	ADP
cuesj-1203	69	47	handwritten	handwritten	ADJ
cuesj-1203	69	48	digit	digit	NOUN
cuesj-1203	69	49	recognition	recognition	NOUN
cuesj-1203	69	50	.	.	PUNCT
cuesj-1203	70	1	then	then	ADV
cuesj-1203	70	2	,	,	PUNCT
cuesj-1203	70	3	the	the	DET
cuesj-1203	70	4	extracted	extract	VERB
cuesj-1203	70	5	features	feature	NOUN
cuesj-1203	70	6	are	be	AUX
cuesj-1203	70	7	inputted	inputte	VERB
cuesj-1203	70	8	into	into	ADP
cuesj-1203	70	9	lstm	lstm	NOUN
cuesj-1203	70	10	to	to	PART
cuesj-1203	70	11	capture	capture	VERB
cuesj-1203	70	12	long	long	ADJ
cuesj-1203	70	13	-	-	PUNCT
cuesj-1203	70	14	term	term	NOUN
cuesj-1203	70	15	dependencies	dependency	NOUN
cuesj-1203	70	16	in	in	ADP
cuesj-1203	70	17	the	the	DET
cuesj-1203	70	18	dataset	dataset	NOUN
cuesj-1203	70	19	to	to	PART
cuesj-1203	70	20	memorize	memorize	VERB
cuesj-1203	70	21	the	the	DET
cuesj-1203	70	22	pattern	pattern	NOUN
cuesj-1203	70	23	.	.	PUNCT
cuesj-1203	71	1	ultimately	ultimately	ADV
cuesj-1203	71	2	,	,	PUNCT
cuesj-1203	71	3	the	the	DET
cuesj-1203	71	4	softmax	softmax	NOUN
cuesj-1203	71	5	classifier	classifier	NOUN
cuesj-1203	71	6	is	be	AUX
cuesj-1203	71	7	utilized	utilize	VERB
cuesj-1203	71	8	to	to	PART
cuesj-1203	71	9	identify	identify	VERB
cuesj-1203	71	10	handwritten	handwritten	ADJ
cuesj-1203	71	11	digits	digit	NOUN
cuesj-1203	71	12	.	.	PUNCT
cuesj-1203	72	1	the	the	DET
cuesj-1203	72	2	primary	primary	ADJ
cuesj-1203	72	3	cnn	cnn	PROPN
cuesj-1203	72	4	network	network	NOUN
cuesj-1203	72	5	includes	include	VERB
cuesj-1203	72	6	three	three	NUM
cuesj-1203	72	7	convolutional	convolutional	ADJ
cuesj-1203	72	8	and	and	CCONJ
cuesj-1203	72	9	max	max	PROPN
cuesj-1203	72	10	pooling	pool	VERB
cuesj-1203	72	11	layers	layer	NOUN
cuesj-1203	72	12	,	,	PUNCT
cuesj-1203	72	13	one	one	NUM
cuesj-1203	72	14	lstm	lstm	NOUN
cuesj-1203	72	15	layer	layer	NOUN
cuesj-1203	72	16	with	with	ADP
cuesj-1203	72	17	128	128	NUM
cuesj-1203	72	18	neurons	neuron	NOUN
cuesj-1203	72	19	and	and	CCONJ
cuesj-1203	72	20	one	one	NUM
cuesj-1203	72	21	dense	dense	ADJ
cuesj-1203	72	22	layer	layer	NOUN
cuesj-1203	72	23	with	with	ADP
cuesj-1203	72	24	softmax	softmax	NOUN
cuesj-1203	72	25	.	.	PUNCT
cuesj-1203	73	1	the	the	DET
cuesj-1203	73	2	first	first	ADJ
cuesj-1203	73	3	convolutional	convolutional	ADJ
cuesj-1203	73	4	layer	layer	NOUN
cuesj-1203	73	5	comprises	comprise	VERB
cuesj-1203	73	6	8	8	NUM
cuesj-1203	73	7	filters	filter	NOUN
cuesj-1203	73	8	with	with	ADP
cuesj-1203	73	9	a	a	DET
cuesj-1203	73	10	size	size	NOUN
cuesj-1203	73	11	of	of	ADP
cuesj-1203	73	12	3×3	3×3	NUM
cuesj-1203	73	13	.	.	PUNCT
cuesj-1203	74	1	following	follow	VERB
cuesj-1203	74	2	this	this	PRON
cuesj-1203	74	3	,	,	PUNCT
cuesj-1203	74	4	a	a	DET
cuesj-1203	74	5	max	max	NOUN
cuesj-1203	74	6	pooling	pool	VERB
cuesj-1203	74	7	layer	layer	NOUN
cuesj-1203	74	8	with	with	ADP
cuesj-1203	74	9	a	a	DET
cuesj-1203	74	10	size	size	NOUN
cuesj-1203	74	11	of	of	ADP
cuesj-1203	74	12	2×2	2×2	NUM
cuesj-1203	74	13	is	be	AUX
cuesj-1203	74	14	introduced	introduce	VERB
cuesj-1203	74	15	by	by	ADP
cuesj-1203	74	16	taking	take	VERB
cuesj-1203	74	17	the	the	DET
cuesj-1203	74	18	maximum	maximum	ADJ
cuesj-1203	74	19	value	value	NOUN
cuesj-1203	74	20	from	from	ADP
cuesj-1203	74	21	the	the	DET
cuesj-1203	74	22	window	window	NOUN
cuesj-1203	74	23	of	of	ADP
cuesj-1203	74	24	pooling	pool	VERB
cuesj-1203	74	25	.	.	PUNCT
cuesj-1203	75	1	subsequently	subsequently	ADV
cuesj-1203	75	2	,	,	PUNCT
cuesj-1203	75	3	the	the	DET
cuesj-1203	75	4	filter	filter	NOUN
cuesj-1203	75	5	size	size	NOUN
cuesj-1203	75	6	remains	remain	VERB
cuesj-1203	75	7	constant	constant	ADJ
cuesj-1203	75	8	while	while	SCONJ
cuesj-1203	75	9	the	the	DET
cuesj-1203	75	10	number	number	NOUN
cuesj-1203	75	11	of	of	ADP
cuesj-1203	75	12	filters	filter	NOUN
cuesj-1203	75	13	is	be	AUX
cuesj-1203	75	14	twofold	twofold	ADJ
cuesj-1203	75	15	.	.	PUNCT
cuesj-1203	76	1	after	after	ADP
cuesj-1203	76	2	extracting	extract	VERB
cuesj-1203	76	3	the	the	DET
cuesj-1203	76	4	spatial	spatial	ADJ
cuesj-1203	76	5	features	feature	NOUN
cuesj-1203	76	6	from	from	ADP
cuesj-1203	76	7	cnn	cnn	PROPN
cuesj-1203	76	8	,	,	PUNCT
cuesj-1203	76	9	they	they	PRON
cuesj-1203	76	10	are	be	AUX
cuesj-1203	76	11	inputted	inputte	VERB
cuesj-1203	76	12	into	into	ADP
cuesj-1203	76	13	the	the	DET
cuesj-1203	76	14	lstm	lstm	ADJ
cuesj-1203	76	15	layer	layer	NOUN
cuesj-1203	76	16	to	to	PART
cuesj-1203	76	17	process	process	VERB
cuesj-1203	76	18	temporal	temporal	ADJ
cuesj-1203	76	19	features	feature	NOUN
cuesj-1203	76	20	and	and	CCONJ
cuesj-1203	76	21	recognize	recognize	VERB
cuesj-1203	76	22	the	the	DET
cuesj-1203	76	23	pattern	pattern	NOUN
cuesj-1203	76	24	.	.	PUNCT
cuesj-1203	77	1	in	in	ADP
cuesj-1203	77	2	the	the	DET
cuesj-1203	77	3	end	end	NOUN
cuesj-1203	77	4	,	,	PUNCT
cuesj-1203	77	5	the	the	DET
cuesj-1203	77	6	softmax	softmax	NOUN
cuesj-1203	77	7	classifier	classifier	NOUN
cuesj-1203	77	8	is	be	AUX
cuesj-1203	77	9	used	use	VERB
cuesj-1203	77	10	to	to	PART
cuesj-1203	77	11	identify	identify	VERB
cuesj-1203	77	12	the	the	DET
cuesj-1203	77	13	handwritten	handwritten	ADJ
cuesj-1203	77	14	digits	digit	NOUN
cuesj-1203	77	15	.	.	PUNCT
cuesj-1203	78	1	the	the	DET
cuesj-1203	78	2	configuration	configuration	NOUN
cuesj-1203	78	3	of	of	ADP
cuesj-1203	78	4	cnn	cnn	PROPN
cuesj-1203	78	5	-	-	PUNCT
cuesj-1203	78	6	lstm	lstm	PROPN
cuesj-1203	78	7	is	be	AUX
cuesj-1203	78	8	described	describe	VERB
cuesj-1203	78	9	in	in	ADP
cuesj-1203	78	10	table	table	NOUN
cuesj-1203	78	11	1	1	NUM
cuesj-1203	78	12	.	.	PUNCT
cuesj-1203	79	1	reults	reult	NOUN
cuesj-1203	79	2	and	and	CCONJ
cuesj-1203	79	3	observations	observation	NOUN
cuesj-1203	79	4	the	the	DET
cuesj-1203	79	5	hybrid	hybrid	ADJ
cuesj-1203	79	6	cnn	cnn	PROPN
cuesj-1203	79	7	-	-	PUNCT
cuesj-1203	79	8	lstm	lstm	ADJ
cuesj-1203	79	9	framework	framework	NOUN
cuesj-1203	79	10	was	be	AUX
cuesj-1203	79	11	examined	examine	VERB
cuesj-1203	79	12	and	and	CCONJ
cuesj-1203	79	13	evaluated	evaluate	VERB
cuesj-1203	79	14	using	use	VERB
cuesj-1203	79	15	the	the	DET
cuesj-1203	79	16	mnist	mnist	NOUN
cuesj-1203	79	17	dataset	dataset	NOUN
cuesj-1203	79	18	which	which	PRON
cuesj-1203	79	19	consists	consist	VERB
cuesj-1203	79	20	of	of	ADP
cuesj-1203	79	21	70,000	70,000	NUM
cuesj-1203	79	22	images	image	NOUN
cuesj-1203	79	23	of	of	ADP
cuesj-1203	79	24	handwritten	handwritten	ADJ
cuesj-1203	79	25	digits	digit	NOUN
cuesj-1203	79	26	ranging	range	VERB
cuesj-1203	79	27	from	from	ADP
cuesj-1203	79	28	0	0	NUM
cuesj-1203	79	29	to	to	ADP
cuesj-1203	79	30	9	9	NUM
cuesj-1203	79	31	with	with	ADP
cuesj-1203	79	32	a	a	DET
cuesj-1203	79	33	shape	shape	NOUN
cuesj-1203	79	34	of	of	ADP
cuesj-1203	79	35	28	28	NUM
cuesj-1203	79	36	×	×	NOUN
cuesj-1203	79	37	28	28	NUM
cuesj-1203	79	38	.	.	PUNCT
cuesj-1203	80	1	70	70	NUM
cuesj-1203	80	2	%	%	NOUN
cuesj-1203	80	3	of	of	ADP
cuesj-1203	80	4	the	the	DET
cuesj-1203	80	5	mnist	mnist	NOUN
cuesj-1203	80	6	dataset	dataset	NOUN
cuesj-1203	80	7	is	be	AUX
cuesj-1203	80	8	allocated	allocate	VERB
cuesj-1203	80	9	for	for	ADP
cuesj-1203	80	10	training	train	VERB
cuesj-1203	80	11	the	the	DET
cuesj-1203	80	12	hybrid	hybrid	ADJ
cuesj-1203	80	13	cnn	cnn	PROPN
cuesj-1203	80	14	-	-	PUNCT
cuesj-1203	80	15	lstm	lstm	PROPN
cuesj-1203	80	16	and	and	CCONJ
cuesj-1203	80	17	the	the	DET
cuesj-1203	80	18	existing	exist	VERB
cuesj-1203	80	19	machine	machine	NOUN
cuesj-1203	80	20	learning	learning	NOUN
cuesj-1203	80	21	models	model	NOUN
cuesj-1203	80	22	,	,	PUNCT
cuesj-1203	80	23	and	and	CCONJ
cuesj-1203	80	24	30	30	NUM
cuesj-1203	80	25	%	%	NOUN
cuesj-1203	80	26	of	of	ADP
cuesj-1203	80	27	the	the	DET
cuesj-1203	80	28	mnist	mnist	NOUN
cuesj-1203	80	29	dataset	dataset	PROPN
cuesj-1203	80	30	was	be	AUX
cuesj-1203	80	31	intended	intend	VERB
cuesj-1203	80	32	to	to	PART
cuesj-1203	80	33	assess	assess	VERB
cuesj-1203	80	34	the	the	DET
cuesj-1203	80	35	performance	performance	NOUN
cuesj-1203	80	36	of	of	ADP
cuesj-1203	80	37	the	the	DET
cuesj-1203	80	38	trained	train	VERB
cuesj-1203	80	39	networks	network	NOUN
cuesj-1203	80	40	to	to	PART
cuesj-1203	80	41	observe	observe	VERB
cuesj-1203	80	42	how	how	SCONJ
cuesj-1203	80	43	good	good	ADJ
cuesj-1203	80	44	the	the	DET
cuesj-1203	80	45	model	model	NOUN
cuesj-1203	80	46	is	be	AUX
cuesj-1203	80	47	classifying	classify	VERB
cuesj-1203	80	48	the	the	DET
cuesj-1203	80	49	output	output	NOUN
cuesj-1203	80	50	or	or	CCONJ
cuesj-1203	80	51	predicting	predict	VERB
cuesj-1203	80	52	the	the	DET
cuesj-1203	80	53	behavior	behavior	NOUN
cuesj-1203	80	54	of	of	ADP
cuesj-1203	80	55	the	the	DET
cuesj-1203	80	56	model	model	NOUN
cuesj-1203	80	57	based	base	VERB
cuesj-1203	80	58	on	on	ADP
cuesj-1203	80	59	the	the	DET
cuesj-1203	80	60	given	give	VERB
cuesj-1203	80	61	dataset	dataset	NOUN
cuesj-1203	80	62	.	.	PUNCT
cuesj-1203	81	1	in	in	ADP
cuesj-1203	81	2	addition	addition	NOUN
cuesj-1203	81	3	,	,	PUNCT
cuesj-1203	81	4	the	the	DET
cuesj-1203	81	5	effectiveness	effectiveness	NOUN
cuesj-1203	81	6	and	and	CCONJ
cuesj-1203	81	7	performance	performance	NOUN
cuesj-1203	81	8	of	of	ADP
cuesj-1203	81	9	the	the	DET
cuesj-1203	81	10	hybrid	hybrid	ADJ
cuesj-1203	81	11	deep	deep	ADJ
cuesj-1203	81	12	learning	learning	NOUN
cuesj-1203	81	13	structures	structure	NOUN
cuesj-1203	81	14	and	and	CCONJ
cuesj-1203	81	15	state	state	NOUN
cuesj-1203	81	16	-	-	PUNCT
cuesj-1203	81	17	of	of	ADP
cuesj-1203	81	18	-	-	PUNCT
cuesj-1203	81	19	the	the	DET
cuesj-1203	81	20	-	-	PUNCT
cuesj-1203	81	21	art	art	NOUN
cuesj-1203	81	22	machine	machine	NOUN
cuesj-1203	81	23	learning	learning	NOUN
cuesj-1203	81	24	models	model	NOUN
cuesj-1203	81	25	have	have	AUX
cuesj-1203	81	26	been	be	AUX
cuesj-1203	81	27	evaluated	evaluate	VERB
cuesj-1203	81	28	and	and	CCONJ
cuesj-1203	81	29	compared	compare	VERB
cuesj-1203	81	30	using	use	VERB
cuesj-1203	81	31	different	different	ADJ
cuesj-1203	81	32	evaluation	evaluation	NOUN
cuesj-1203	81	33	metrics	metric	NOUN
cuesj-1203	81	34	such	such	ADJ
cuesj-1203	81	35	as	as	ADP
cuesj-1203	81	36	classification	classification	NOUN
cuesj-1203	81	37	accuracy	accuracy	NOUN
cuesj-1203	81	38	,	,	PUNCT
cuesj-1203	81	39	confusion	confusion	NOUN
cuesj-1203	81	40	matrix	matrix	NOUN
cuesj-1203	81	41	,	,	PUNCT
cuesj-1203	81	42	and	and	CCONJ
cuesj-1203	81	43	f1	f1	NOUN
cuesj-1203	81	44	-	-	PUNCT
cuesj-1203	81	45	score	score	NOUN
cuesj-1203	81	46	.	.	PUNCT
cuesj-1203	82	1	the	the	DET
cuesj-1203	82	2	outcomes	outcome	NOUN
cuesj-1203	82	3	of	of	ADP
cuesj-1203	82	4	classification	classification	NOUN
cuesj-1203	82	5	accuracy	accuracy	NOUN
cuesj-1203	82	6	and	and	CCONJ
cuesj-1203	82	7	f1	f1	NOUN
cuesj-1203	82	8	-	-	PUNCT
cuesj-1203	82	9	score	score	NOUN
cuesj-1203	82	10	for	for	ADP
cuesj-1203	82	11	the	the	DET
cuesj-1203	82	12	hybrid	hybrid	ADJ
cuesj-1203	82	13	deep	deep	ADJ
cuesj-1203	82	14	learning	learning	NOUN
cuesj-1203	82	15	architectures	architecture	NOUN
cuesj-1203	82	16	,	,	PUNCT
cuesj-1203	82	17	namely	namely	ADV
cuesj-1203	82	18	cnn	cnn	PROPN
cuesj-1203	82	19	-	-	PUNCT
cuesj-1203	82	20	lstm	lstm	PROPN
cuesj-1203	82	21	and	and	CCONJ
cuesj-1203	82	22	the	the	DET
cuesj-1203	82	23	stateof	stateof	ADJ
cuesj-1203	82	24	-	-	PUNCT
cuesj-1203	82	25	the	the	DET
cuesj-1203	82	26	-	-	PUNCT
cuesj-1203	82	27	art	art	NOUN
cuesj-1203	82	28	machine	machine	NOUN
cuesj-1203	82	29	learning	learning	NOUN
cuesj-1203	82	30	methods	method	NOUN
cuesj-1203	82	31	(	(	PUNCT
cuesj-1203	82	32	svm	svm	ADJ
cuesj-1203	82	33	,	,	PUNCT
cuesj-1203	82	34	decision	decision	NOUN
cuesj-1203	82	35	tree	tree	NOUN
cuesj-1203	82	36	,	,	PUNCT
cuesj-1203	82	37	and	and	CCONJ
cuesj-1203	82	38	random	random	ADJ
cuesj-1203	82	39	forest	forest	NOUN
cuesj-1203	82	40	)	)	PUNCT
cuesj-1203	82	41	,	,	PUNCT
cuesj-1203	82	42	are	be	AUX
cuesj-1203	82	43	illustrated	illustrate	VERB
cuesj-1203	82	44	in	in	ADP
cuesj-1203	82	45	figures	figure	NOUN
cuesj-1203	82	46	3	3	NUM
cuesj-1203	82	47	and	and	CCONJ
cuesj-1203	82	48	4	4	NUM
cuesj-1203	82	49	,	,	PUNCT
cuesj-1203	82	50	respectively	respectively	ADV
cuesj-1203	82	51	.	.	PUNCT
cuesj-1203	83	1	the	the	DET
cuesj-1203	83	2	results	result	NOUN
cuesj-1203	83	3	have	have	AUX
cuesj-1203	83	4	proved	prove	VERB
cuesj-1203	83	5	that	that	SCONJ
cuesj-1203	83	6	the	the	DET
cuesj-1203	83	7	performance	performance	NOUN
cuesj-1203	83	8	of	of	ADP
cuesj-1203	83	9	the	the	DET
cuesj-1203	83	10	hybrid	hybrid	ADJ
cuesj-1203	83	11	cnnlstm	cnnlstm	NOUN
cuesj-1203	83	12	(	(	PUNCT
cuesj-1203	83	13	98	98	NUM
cuesj-1203	83	14	%	%	NOUN
cuesj-1203	83	15	accuracy	accuracy	NOUN
cuesj-1203	83	16	)	)	PUNCT
cuesj-1203	83	17	outperforms	outperform	VERB
cuesj-1203	83	18	the	the	DET
cuesj-1203	83	19	conventional	conventional	ADJ
cuesj-1203	83	20	machine	machine	NOUN
cuesj-1203	83	21	learning	learning	NOUN
cuesj-1203	83	22	models	model	NOUN
cuesj-1203	83	23	;	;	PUNCT
cuesj-1203	83	24	svm	svm	PROPN
cuesj-1203	83	25	(	(	PUNCT
cuesj-1203	83	26	94	94	NUM
cuesj-1203	83	27	%	%	NOUN
cuesj-1203	83	28	accuracy	accuracy	NOUN
cuesj-1203	83	29	)	)	PUNCT
cuesj-1203	83	30	,	,	PUNCT
cuesj-1203	83	31	random	random	ADJ
cuesj-1203	83	32	forest	forest	NOUN
cuesj-1203	83	33	(	(	PUNCT
cuesj-1203	83	34	89	89	NUM
cuesj-1203	83	35	%	%	NOUN
cuesj-1203	83	36	accuracy	accuracy	NOUN
cuesj-1203	83	37	)	)	PUNCT
cuesj-1203	83	38	,	,	PUNCT
cuesj-1203	83	39	and	and	CCONJ
cuesj-1203	83	40	decision	decision	NOUN
cuesj-1203	83	41	tree	tree	NOUN
cuesj-1203	83	42	(	(	PUNCT
cuesj-1203	83	43	74	74	NUM
cuesj-1203	83	44	%	%	NOUN
cuesj-1203	83	45	)	)	PUNCT
cuesj-1203	83	46	.	.	PUNCT
cuesj-1203	84	1	the	the	DET
cuesj-1203	84	2	higher	high	ADJ
cuesj-1203	84	3	accuracy	accuracy	NOUN
cuesj-1203	84	4	of	of	ADP
cuesj-1203	84	5	the	the	DET
cuesj-1203	84	6	hybrid	hybrid	ADJ
cuesj-1203	84	7	cnn	cnn	PROPN
cuesj-1203	84	8	-	-	PUNCT
cuesj-1203	84	9	lstm	lstm	ADJ
cuesj-1203	84	10	framework	framework	NOUN
cuesj-1203	84	11	reveals	reveal	VERB
cuesj-1203	84	12	the	the	DET
cuesj-1203	84	13	capability	capability	NOUN
cuesj-1203	84	14	of	of	ADP
cuesj-1203	84	15	cnn	cnn	PROPN
cuesj-1203	84	16	in	in	ADP
cuesj-1203	84	17	capturing	capture	VERB
cuesj-1203	84	18	useful	useful	ADJ
cuesj-1203	84	19	information	information	NOUN
cuesj-1203	84	20	and	and	CCONJ
cuesj-1203	84	21	identifying	identify	VERB
cuesj-1203	84	22	the	the	DET
cuesj-1203	84	23	significant	significant	ADJ
cuesj-1203	84	24	patterns	pattern	NOUN
cuesj-1203	84	25	/	/	SYM
cuesj-1203	84	26	trends	trend	NOUN
cuesj-1203	84	27	from	from	ADP
cuesj-1203	84	28	the	the	DET
cuesj-1203	84	29	raw	raw	ADJ
cuesj-1203	84	30	data	datum	NOUN
cuesj-1203	84	31	and	and	CCONJ
cuesj-1203	84	32	lstm	lstm	NOUN
cuesj-1203	84	33	network	network	NOUN
cuesj-1203	84	34	which	which	PRON
cuesj-1203	84	35	has	have	VERB
cuesj-1203	84	36	ability	ability	NOUN
cuesj-1203	84	37	to	to	PART
cuesj-1203	84	38	memorize	memorize	VERB
cuesj-1203	84	39	the	the	DET
cuesj-1203	84	40	similar	similar	ADJ
cuesj-1203	84	41	notable	notable	ADJ
cuesj-1203	84	42	features	feature	NOUN
cuesj-1203	84	43	of	of	ADP
cuesj-1203	84	44	one	one	NUM
cuesj-1203	84	45	class	class	NOUN
cuesj-1203	84	46	in	in	ADP
cuesj-1203	84	47	the	the	DET
cuesj-1203	84	48	dataset	dataset	NOUN
cuesj-1203	84	49	.	.	PUNCT
cuesj-1203	85	1	the	the	DET
cuesj-1203	85	2	superior	superior	ADJ
cuesj-1203	85	3	f1	f1	NOUN
cuesj-1203	85	4	-	-	PUNCT
cuesj-1203	85	5	score	score	NOUN
cuesj-1203	85	6	of	of	ADP
cuesj-1203	85	7	hybrid	hybrid	ADJ
cuesj-1203	85	8	cnn	cnn	PROPN
cuesj-1203	85	9	-	-	PUNCT
cuesj-1203	85	10	lstm	lstm	PROPN
cuesj-1203	85	11	(	(	PUNCT
cuesj-1203	85	12	98	98	NUM
cuesj-1203	85	13	%	%	NOUN
cuesj-1203	85	14	)	)	PUNCT
cuesj-1203	85	15	has	have	AUX
cuesj-1203	85	16	been	be	AUX
cuesj-1203	85	17	noticed	notice	VERB
cuesj-1203	85	18	compared	compare	VERB
cuesj-1203	85	19	to	to	ADP
cuesj-1203	85	20	the	the	DET
cuesj-1203	85	21	other	other	ADJ
cuesj-1203	85	22	traditional	traditional	ADJ
cuesj-1203	85	23	machine	machine	NOUN
cuesj-1203	85	24	learning	learning	NOUN
cuesj-1203	85	25	methods	method	NOUN
cuesj-1203	85	26	.	.	PUNCT
cuesj-1203	86	1	this	this	PRON
cuesj-1203	86	2	demonstrates	demonstrate	VERB
cuesj-1203	86	3	that	that	SCONJ
cuesj-1203	86	4	the	the	DET
cuesj-1203	86	5	hybrid	hybrid	ADJ
cuesj-1203	86	6	cnnlstm	cnnlstm	NOUN
cuesj-1203	86	7	has	have	VERB
cuesj-1203	86	8	both	both	CCONJ
cuesj-1203	86	9	high	high	ADJ
cuesj-1203	86	10	precision	precision	NOUN
cuesj-1203	86	11	and	and	CCONJ
cuesj-1203	86	12	high	high	ADJ
cuesj-1203	86	13	recall	recall	NOUN
cuesj-1203	86	14	.	.	PUNCT
cuesj-1203	87	1	to	to	ADP
cuesj-1203	87	2	this	this	DET
cuesj-1203	87	3	end	end	NOUN
cuesj-1203	87	4	,	,	PUNCT
cuesj-1203	87	5	the	the	DET
cuesj-1203	87	6	proposed	propose	VERB
cuesj-1203	87	7	cnn	cnn	PROPN
cuesj-1203	87	8	-	-	PUNCT
cuesj-1203	87	9	lstm	lstm	ADJ
cuesj-1203	87	10	structure	structure	NOUN
cuesj-1203	87	11	is	be	AUX
cuesj-1203	87	12	robust	robust	ADJ
cuesj-1203	87	13	at	at	ADP
cuesj-1203	87	14	making	make	VERB
cuesj-1203	87	15	accurate	accurate	ADJ
cuesj-1203	87	16	predictions	prediction	NOUN
cuesj-1203	87	17	while	while	SCONJ
cuesj-1203	87	18	minimizing	minimize	VERB
cuesj-1203	87	19	false	false	ADJ
cuesj-1203	87	20	predictions	prediction	NOUN
cuesj-1203	87	21	.	.	PUNCT
cuesj-1203	88	1	this	this	PRON
cuesj-1203	88	2	shows	show	VERB
cuesj-1203	88	3	that	that	SCONJ
cuesj-1203	88	4	the	the	DET
cuesj-1203	88	5	proposed	propose	VERB
cuesj-1203	88	6	cnn	cnn	PROPN
cuesj-1203	88	7	-	-	PUNCT
cuesj-1203	88	8	lstm	lstm	PROPN
cuesj-1203	88	9	is	be	AUX
cuesj-1203	88	10	performing	perform	VERB
cuesj-1203	88	11	well	well	ADV
cuesj-1203	88	12	in	in	ADP
cuesj-1203	88	13	recognizing	recognize	VERB
cuesj-1203	88	14	and	and	CCONJ
cuesj-1203	88	15	identifying	identify	VERB
cuesj-1203	88	16	the	the	DET
cuesj-1203	88	17	handwritten	handwritten	ADJ
cuesj-1203	88	18	digits	digit	NOUN
cuesj-1203	88	19	.	.	PUNCT
cuesj-1203	89	1	for	for	ADP
cuesj-1203	89	2	further	further	ADJ
cuesj-1203	89	3	evaluation	evaluation	NOUN
cuesj-1203	89	4	,	,	PUNCT
cuesj-1203	89	5	the	the	DET
cuesj-1203	89	6	confusion	confusion	NOUN
cuesj-1203	89	7	matrix	matrix	NOUN
cuesj-1203	89	8	has	have	AUX
cuesj-1203	89	9	been	be	AUX
cuesj-1203	89	10	considered	consider	VERB
cuesj-1203	89	11	.	.	PUNCT
cuesj-1203	90	1	[	[	X
cuesj-1203	90	2	figures	figure	NOUN
cuesj-1203	90	3	5	5	NUM
cuesj-1203	90	4	-	-	SYM
cuesj-1203	90	5	8	8	NUM
cuesj-1203	90	6	]	]	PUNCT
cuesj-1203	90	7	illustrate	illustrate	VERB
cuesj-1203	90	8	the	the	DET
cuesj-1203	90	9	confusion	confusion	NOUN
cuesj-1203	90	10	matrices	matrix	NOUN
cuesj-1203	90	11	of	of	ADP
cuesj-1203	90	12	figure	figure	NOUN
cuesj-1203	90	13	2	2	NUM
cuesj-1203	90	14	:	:	PUNCT
cuesj-1203	90	15	proposed	propose	VERB
cuesj-1203	90	16	hybrid	hybrid	ADJ
cuesj-1203	90	17	2d	2d	NUM
cuesj-1203	90	18	convolutional	convolutional	ADJ
cuesj-1203	90	19	neural	neural	ADJ
cuesj-1203	90	20	network	network	NOUN
cuesj-1203	90	21	long	long	ADV
cuesj-1203	90	22	-	-	PUNCT
cuesj-1203	90	23	short	short	ADJ
cuesj-1203	90	24	-	-	PUNCT
cuesj-1203	90	25	term	term	NOUN
cuesj-1203	90	26	memory	memory	NOUN
cuesj-1203	90	27	framework	framework	NOUN
cuesj-1203	90	28	husari	husari	ADJ
cuesj-1203	90	29	and	and	CCONJ
cuesj-1203	90	30	assaad	assaad	NOUN
cuesj-1203	90	31	:	:	PUNCT
cuesj-1203	90	32	intelligent	intelligent	ADJ
cuesj-1203	90	33	handwritten	handwritten	ADJ
cuesj-1203	90	34	identification	identification	NOUN
cuesj-1203	90	35	using	use	VERB
cuesj-1203	90	36	novel	novel	ADJ
cuesj-1203	90	37	hybrid	hybrid	ADJ
cuesj-1203	90	38	cnn	cnn	PROPN
cuesj-1203	90	39	-	-	PUNCT
cuesj-1203	90	40	lstm	lstm	PROPN
cuesj-1203	90	41	model	model	NOUN
cuesj-1203	90	42	102	102	NUM
cuesj-1203	90	43	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1203	90	44	cuesj	cuesj	NOUN
cuesj-1203	90	45	2024	2024	NUM
cuesj-1203	90	46	,	,	PUNCT
cuesj-1203	90	47	8	8	NUM
cuesj-1203	90	48	(	(	PUNCT
cuesj-1203	90	49	2	2	NUM
cuesj-1203	90	50	):	):	PUNCT
cuesj-1203	90	51	99	99	NUM
cuesj-1203	90	52	-	-	SYM
cuesj-1203	90	53	103	103	NUM
cuesj-1203	90	54	the	the	DET
cuesj-1203	90	55	proposed	propose	VERB
cuesj-1203	90	56	hybrid	hybrid	ADJ
cuesj-1203	90	57	deep	deep	ADJ
cuesj-1203	90	58	learning	learning	NOUN
cuesj-1203	90	59	networks	network	NOUN
cuesj-1203	90	60	and	and	CCONJ
cuesj-1203	90	61	state	state	NOUN
cuesj-1203	90	62	-	-	PUNCT
cuesj-1203	90	63	of	of	ADP
cuesj-1203	90	64	-	-	PUNCT
cuesj-1203	90	65	theart	theart	NOUN
cuesj-1203	90	66	machine	machine	NOUN
cuesj-1203	90	67	learning	learning	NOUN
cuesj-1203	90	68	models	model	NOUN
cuesj-1203	90	69	.	.	PUNCT
cuesj-1203	91	1	in	in	ADP
cuesj-1203	91	2	these	these	DET
cuesj-1203	91	3	matrices	matrix	NOUN
cuesj-1203	91	4	,	,	PUNCT
cuesj-1203	91	5	the	the	DET
cuesj-1203	91	6	rows	row	NOUN
cuesj-1203	91	7	represent	represent	VERB
cuesj-1203	91	8	the	the	DET
cuesj-1203	91	9	true	true	ADJ
cuesj-1203	91	10	labels	label	NOUN
cuesj-1203	91	11	,	,	PUNCT
cuesj-1203	91	12	while	while	SCONJ
cuesj-1203	91	13	the	the	DET
cuesj-1203	91	14	columns	column	NOUN
cuesj-1203	91	15	represent	represent	VERB
cuesj-1203	91	16	the	the	DET
cuesj-1203	91	17	predicted	predict	VERB
cuesj-1203	91	18	labels	label	NOUN
cuesj-1203	91	19	.	.	PUNCT
cuesj-1203	92	1	it	it	PRON
cuesj-1203	92	2	can	can	AUX
cuesj-1203	92	3	be	be	AUX
cuesj-1203	92	4	observed	observe	VERB
cuesj-1203	92	5	that	that	SCONJ
cuesj-1203	92	6	all	all	DET
cuesj-1203	92	7	handwritten	handwritten	ADJ
cuesj-1203	92	8	digit	digit	NOUN
cuesj-1203	92	9	classes	class	NOUN
cuesj-1203	92	10	are	be	AUX
cuesj-1203	92	11	well	well	ADV
cuesj-1203	92	12	identified	identify	VERB
cuesj-1203	92	13	and	and	CCONJ
cuesj-1203	92	14	recognized	recognize	VERB
cuesj-1203	92	15	in	in	ADP
cuesj-1203	92	16	the	the	DET
cuesj-1203	92	17	proposed	propose	VERB
cuesj-1203	92	18	hybrid	hybrid	ADJ
cuesj-1203	92	19	cnn	cnn	PROPN
cuesj-1203	92	20	-	-	PUNCT
cuesj-1203	92	21	lstm	lstm	NOUN
cuesj-1203	92	22	compared	compare	VERB
cuesj-1203	92	23	table	table	NOUN
cuesj-1203	92	24	1	1	NUM
cuesj-1203	92	25	:	:	PUNCT
cuesj-1203	92	26	hybrid	hybrid	ADJ
cuesj-1203	92	27	2dcnn	2dcnn	PROPN
cuesj-1203	92	28	-	-	PUNCT
cuesj-1203	92	29	lstm	lstm	ADJ
cuesj-1203	92	30	configuration	configuration	NOUN
cuesj-1203	92	31	layer	layer	NOUN
cuesj-1203	92	32	layer	layer	NOUN
cuesj-1203	92	33	size	size	NOUN
cuesj-1203	92	34	convolutional	convolutional	ADJ
cuesj-1203	92	35	1	1	NUM
cuesj-1203	92	36	conv_1(28×28×8	conv_1(28×28×8	PROPN
cuesj-1203	92	37	)	)	PUNCT
cuesj-1203	92	38	max	max	PROPN
cuesj-1203	92	39	-	-	PUNCT
cuesj-1203	92	40	pool	pool	NOUN
cuesj-1203	92	41	1	1	NUM
cuesj-1203	92	42	pool_1(14×14×8	pool_1(14×14×8	ADJ
cuesj-1203	92	43	)	)	PUNCT
cuesj-1203	92	44	convolutional	convolutional	ADJ
cuesj-1203	92	45	2	2	NUM
cuesj-1203	92	46	conv_2(14×14×16	conv_2(14×14×16	NOUN
cuesj-1203	92	47	)	)	PUNCT
cuesj-1203	92	48	max	max	NOUN
cuesj-1203	92	49	-	-	PUNCT
cuesj-1203	92	50	pool	pool	NOUN
cuesj-1203	92	51	2	2	NUM
cuesj-1203	92	52	pool_2(7×7×16	pool_2(7×7×16	NOUN
cuesj-1203	92	53	)	)	PUNCT
cuesj-1203	92	54	convolutional	convolutional	ADJ
cuesj-1203	92	55	3	3	NUM
cuesj-1203	92	56	conv_3(7×7×32	conv_3(7×7×32	NOUN
cuesj-1203	92	57	)	)	PUNCT
cuesj-1203	92	58	max	max	NOUN
cuesj-1203	92	59	-	-	PUNCT
cuesj-1203	92	60	pool	pool	NOUN
cuesj-1203	92	61	3	3	NUM
cuesj-1203	92	62	pool_3(3×3×32	pool_3(3×3×32	NOUN
cuesj-1203	92	63	)	)	PUNCT
cuesj-1203	93	1	lstm	lstm	NOUN
cuesj-1203	93	2	lstm	lstm	NOUN
cuesj-1203	93	3	(	(	PUNCT
cuesj-1203	93	4	128	128	NUM
cuesj-1203	93	5	)	)	PUNCT
cuesj-1203	93	6	dense	dense	ADJ
cuesj-1203	93	7	dense	dense	ADJ
cuesj-1203	93	8	(	(	PUNCT
cuesj-1203	93	9	10,1	10,1	NUM
cuesj-1203	93	10	)	)	PUNCT
cuesj-1203	93	11	cnn	cnn	NOUN
cuesj-1203	93	12	:	:	PUNCT
cuesj-1203	93	13	convolutional	convolutional	ADJ
cuesj-1203	93	14	neural	neural	ADJ
cuesj-1203	93	15	networks	network	NOUN
cuesj-1203	93	16	,	,	PUNCT
cuesj-1203	93	17	lstm	lstm	ADJ
cuesj-1203	93	18	:	:	PUNCT
cuesj-1203	93	19	long	long	ADJ
cuesj-1203	93	20	-	-	PUNCT
cuesj-1203	93	21	short	short	ADJ
cuesj-1203	93	22	-	-	PUNCT
cuesj-1203	93	23	term	term	NOUN
cuesj-1203	93	24	memory	memory	NOUN
cuesj-1203	93	25	figure	figure	NOUN
cuesj-1203	93	26	4	4	NUM
cuesj-1203	93	27	:	:	PUNCT
cuesj-1203	93	28	f1	f1	ADJ
cuesj-1203	93	29	-	-	PUNCT
cuesj-1203	93	30	score	score	NOUN
cuesj-1203	93	31	metric	metric	NOUN
cuesj-1203	93	32	for	for	ADP
cuesj-1203	93	33	all	all	DET
cuesj-1203	93	34	models	model	NOUN
cuesj-1203	93	35	figure	figure	VERB
cuesj-1203	93	36	3	3	NUM
cuesj-1203	93	37	:	:	PUNCT
cuesj-1203	93	38	overall	overall	ADJ
cuesj-1203	93	39	accuracy	accuracy	NOUN
cuesj-1203	93	40	performance	performance	NOUN
cuesj-1203	93	41	for	for	ADP
cuesj-1203	93	42	all	all	DET
cuesj-1203	93	43	models	model	NOUN
cuesj-1203	93	44	figure	figure	VERB
cuesj-1203	93	45	5	5	NUM
cuesj-1203	93	46	:	:	PUNCT
cuesj-1203	93	47	confusion	confusion	NOUN
cuesj-1203	93	48	matrix	matrix	NOUN
cuesj-1203	93	49	of	of	ADP
cuesj-1203	93	50	the	the	DET
cuesj-1203	93	51	proposed	propose	VERB
cuesj-1203	93	52	hybris	hybris	PROPN
cuesj-1203	93	53	convolutional	convolutional	ADJ
cuesj-1203	93	54	neural	neural	ADJ
cuesj-1203	93	55	network	network	NOUN
cuesj-1203	93	56	long	long	ADJ
cuesj-1203	93	57	-	-	PUNCT
cuesj-1203	93	58	short	short	ADJ
cuesj-1203	93	59	term	term	NOUN
cuesj-1203	93	60	memory	memory	NOUN
cuesj-1203	93	61	model	model	NOUN
cuesj-1203	93	62	figure	figure	NOUN
cuesj-1203	93	63	6	6	NUM
cuesj-1203	93	64	:	:	PUNCT
cuesj-1203	93	65	confusion	confusion	NOUN
cuesj-1203	93	66	matrix	matrix	NOUN
cuesj-1203	93	67	of	of	ADP
cuesj-1203	93	68	support	support	NOUN
cuesj-1203	93	69	vector	vector	NOUN
cuesj-1203	93	70	machine	machine	NOUN
cuesj-1203	93	71	model	model	NOUN
cuesj-1203	93	72	figure	figure	NOUN
cuesj-1203	93	73	7	7	NUM
cuesj-1203	93	74	:	:	PUNCT
cuesj-1203	93	75	confusion	confusion	NOUN
cuesj-1203	93	76	matrix	matrix	NOUN
cuesj-1203	93	77	of	of	ADP
cuesj-1203	93	78	decision	decision	NOUN
cuesj-1203	93	79	tree	tree	NOUN
cuesj-1203	93	80	model	model	NOUN
cuesj-1203	93	81	to	to	ADP
cuesj-1203	93	82	the	the	DET
cuesj-1203	93	83	other	other	ADJ
cuesj-1203	93	84	traditional	traditional	ADJ
cuesj-1203	93	85	machine	machine	NOUN
cuesj-1203	93	86	learning	learn	VERB
cuesj-1203	93	87	techniques	technique	NOUN
cuesj-1203	93	88	.	.	PUNCT
cuesj-1203	94	1	this	this	PRON
cuesj-1203	94	2	indicates	indicate	VERB
cuesj-1203	94	3	that	that	SCONJ
cuesj-1203	94	4	the	the	DET
cuesj-1203	94	5	hybrid	hybrid	NOUN
cuesj-1203	94	6	model	model	NOUN
cuesj-1203	94	7	precisely	precisely	ADV
cuesj-1203	94	8	identifies	identify	VERB
cuesj-1203	94	9	the	the	DET
cuesj-1203	94	10	true	true	ADJ
cuesj-1203	94	11	prediction	prediction	NOUN
cuesj-1203	94	12	instances	instance	NOUN
cuesj-1203	94	13	for	for	ADP
cuesj-1203	94	14	each	each	DET
cuesj-1203	94	15	class	class	NOUN
cuesj-1203	94	16	of	of	ADP
cuesj-1203	94	17	handwritten	handwritten	ADJ
cuesj-1203	94	18	digits	digit	NOUN
cuesj-1203	94	19	with	with	ADP
cuesj-1203	94	20	a	a	DET
cuesj-1203	94	21	lesser	less	ADJ
cuesj-1203	94	22	number	number	NOUN
cuesj-1203	94	23	of	of	ADP
cuesj-1203	94	24	false	false	ADJ
cuesj-1203	94	25	prediction	prediction	NOUN
cuesj-1203	94	26	instances	instance	NOUN
cuesj-1203	94	27	.	.	PUNCT
cuesj-1203	95	1	husari	husari	VERB
cuesj-1203	95	2	and	and	CCONJ
cuesj-1203	95	3	assaad	assaad	NOUN
cuesj-1203	95	4	:	:	PUNCT
cuesj-1203	95	5	intelligent	intelligent	ADJ
cuesj-1203	95	6	handwritten	handwritten	ADJ
cuesj-1203	95	7	identification	identification	NOUN
cuesj-1203	95	8	using	use	VERB
cuesj-1203	95	9	novel	novel	ADJ
cuesj-1203	95	10	hybrid	hybrid	ADJ
cuesj-1203	95	11	cnn	cnn	PROPN
cuesj-1203	95	12	-	-	PUNCT
cuesj-1203	95	13	lstm	lstm	PROPN
cuesj-1203	95	14	model	model	NOUN
cuesj-1203	95	15	103	103	NUM
cuesj-1203	95	16	http://journals.cihanuniversity.edu.iq/index.php/cuesj	http://journals.cihanuniversity.edu.iq/index.php/cuesj	ADJ
cuesj-1203	95	17	cuesj	cuesj	ADJ
cuesj-1203	95	18	2024	2024	NUM
cuesj-1203	95	19	,	,	PUNCT
cuesj-1203	95	20	8	8	NUM
cuesj-1203	95	21	(	(	PUNCT
cuesj-1203	95	22	2	2	NUM
cuesj-1203	95	23	):	):	PUNCT
cuesj-1203	95	24	99	99	NUM
cuesj-1203	95	25	-	-	SYM
cuesj-1203	95	26	103	103	NUM
cuesj-1203	95	27	from	from	ADP
cuesj-1203	95	28	an	an	DET
cuesj-1203	95	29	overall	overall	ADJ
cuesj-1203	95	30	comparison	comparison	NOUN
cuesj-1203	95	31	,	,	PUNCT
cuesj-1203	95	32	it	it	PRON
cuesj-1203	95	33	can	can	AUX
cuesj-1203	95	34	be	be	AUX
cuesj-1203	95	35	concluded	conclude	VERB
cuesj-1203	95	36	that	that	SCONJ
cuesj-1203	95	37	the	the	DET
cuesj-1203	95	38	proposed	propose	VERB
cuesj-1203	95	39	methodology	methodology	NOUN
cuesj-1203	95	40	,	,	PUNCT
cuesj-1203	95	41	namely	namely	ADV
cuesj-1203	95	42	cnn	cnn	PROPN
cuesj-1203	95	43	-	-	PUNCT
cuesj-1203	95	44	lstm	lstm	PROPN
cuesj-1203	95	45	,	,	PUNCT
cuesj-1203	95	46	is	be	AUX
cuesj-1203	95	47	found	find	VERB
cuesj-1203	95	48	to	to	PART
cuesj-1203	95	49	be	be	AUX
cuesj-1203	95	50	robust	robust	ADJ
cuesj-1203	95	51	,	,	PUNCT
cuesj-1203	95	52	efficient	efficient	ADJ
cuesj-1203	95	53	,	,	PUNCT
cuesj-1203	95	54	and	and	CCONJ
cuesj-1203	95	55	accurate	accurate	ADJ
cuesj-1203	95	56	for	for	ADP
cuesj-1203	95	57	recognition	recognition	NOUN
cuesj-1203	95	58	and	and	CCONJ
cuesj-1203	95	59	identification	identification	NOUN
cuesj-1203	95	60	of	of	ADP
cuesj-1203	95	61	handwritten	handwritten	ADJ
cuesj-1203	95	62	digits	digit	NOUN
cuesj-1203	95	63	with	with	ADP
cuesj-1203	95	64	optimal	optimal	ADJ
cuesj-1203	95	65	model	model	NOUN
cuesj-1203	95	66	design	design	NOUN
cuesj-1203	95	67	and	and	CCONJ
cuesj-1203	95	68	best	good	ADJ
cuesj-1203	95	69	performance	performance	NOUN
cuesj-1203	95	70	.	.	PUNCT
cuesj-1203	96	1	conclusion	conclusion	NOUN
cuesj-1203	96	2	in	in	ADP
cuesj-1203	96	3	this	this	DET
cuesj-1203	96	4	paper	paper	NOUN
cuesj-1203	96	5	,	,	PUNCT
cuesj-1203	96	6	a	a	DET
cuesj-1203	96	7	hybrid	hybrid	ADJ
cuesj-1203	96	8	deep	deep	ADJ
cuesj-1203	96	9	leaning	lean	VERB
cuesj-1203	96	10	approach	approach	NOUN
cuesj-1203	96	11	,	,	PUNCT
cuesj-1203	96	12	namely	namely	ADV
cuesj-1203	96	13	2dcnnlstm	2dcnnlstm	NUM
cuesj-1203	96	14	,	,	PUNCT
cuesj-1203	96	15	has	have	AUX
cuesj-1203	96	16	been	be	AUX
cuesj-1203	96	17	developed	develop	VERB
cuesj-1203	96	18	for	for	ADP
cuesj-1203	96	19	handwritten	handwritten	ADJ
cuesj-1203	96	20	digits	digit	NOUN
cuesj-1203	96	21	recognition	recognition	NOUN
cuesj-1203	96	22	.	.	PUNCT
cuesj-1203	97	1	the	the	DET
cuesj-1203	97	2	proposed	propose	VERB
cuesj-1203	97	3	cnn	cnn	PROPN
cuesj-1203	97	4	-	-	PUNCT
cuesj-1203	97	5	lstm	lstm	ADJ
cuesj-1203	97	6	framework	framework	NOUN
cuesj-1203	97	7	has	have	AUX
cuesj-1203	97	8	evaluated	evaluate	VERB
cuesj-1203	97	9	and	and	CCONJ
cuesj-1203	97	10	compared	compare	VERB
cuesj-1203	97	11	to	to	ADP
cuesj-1203	97	12	the	the	DET
cuesj-1203	97	13	other	other	ADJ
cuesj-1203	97	14	conventional	conventional	ADJ
cuesj-1203	97	15	machine	machine	NOUN
cuesj-1203	97	16	learning	learn	VERB
cuesj-1203	97	17	techniques	technique	NOUN
cuesj-1203	97	18	to	to	PART
cuesj-1203	97	19	test	test	VERB
cuesj-1203	97	20	which	which	DET
cuesj-1203	97	21	one	one	PRON
cuesj-1203	97	22	would	would	AUX
cuesj-1203	97	23	be	be	AUX
cuesj-1203	97	24	more	more	ADV
cuesj-1203	97	25	effective	effective	ADJ
cuesj-1203	97	26	and	and	CCONJ
cuesj-1203	97	27	convenient	convenient	ADJ
cuesj-1203	97	28	for	for	ADP
cuesj-1203	97	29	handwritten	handwritten	ADJ
cuesj-1203	97	30	digits	digit	NOUN
cuesj-1203	97	31	classification	classification	NOUN
cuesj-1203	97	32	.	.	PUNCT
cuesj-1203	98	1	the	the	DET
cuesj-1203	98	2	hybrid	hybrid	ADJ
cuesj-1203	98	3	cnn	cnn	PROPN
cuesj-1203	98	4	-	-	PUNCT
cuesj-1203	98	5	lstm	lstm	ADJ
cuesj-1203	98	6	architecture	architecture	NOUN
cuesj-1203	98	7	combines	combine	VERB
cuesj-1203	98	8	the	the	DET
cuesj-1203	98	9	benefits	benefit	NOUN
cuesj-1203	98	10	of	of	ADP
cuesj-1203	98	11	cnn	cnn	PROPN
cuesj-1203	98	12	for	for	ADP
cuesj-1203	98	13	extracting	extract	VERB
cuesj-1203	98	14	the	the	DET
cuesj-1203	98	15	significant	significant	ADJ
cuesj-1203	98	16	features	feature	NOUN
cuesj-1203	98	17	,	,	PUNCT
cuesj-1203	98	18	and	and	CCONJ
cuesj-1203	98	19	lstm	lstm	NOUN
cuesj-1203	98	20	to	to	PART
cuesj-1203	98	21	process	process	VERB
cuesj-1203	98	22	the	the	DET
cuesj-1203	98	23	extracted	extract	VERB
cuesj-1203	98	24	features	feature	NOUN
cuesj-1203	98	25	sequentially	sequentially	ADV
cuesj-1203	98	26	.	.	PUNCT
cuesj-1203	99	1	the	the	DET
cuesj-1203	99	2	outcomes	outcome	NOUN
cuesj-1203	99	3	proved	prove	VERB
cuesj-1203	99	4	that	that	SCONJ
cuesj-1203	99	5	the	the	DET
cuesj-1203	99	6	learned	learn	VERB
cuesj-1203	99	7	meaningful	meaningful	ADJ
cuesj-1203	99	8	features	feature	NOUN
cuesj-1203	99	9	by	by	ADP
cuesj-1203	99	10	cnn	cnn	PROPN
cuesj-1203	99	11	network	network	NOUN
cuesj-1203	99	12	are	be	AUX
cuesj-1203	99	13	efficient	efficient	ADJ
cuesj-1203	99	14	and	and	CCONJ
cuesj-1203	99	15	superior	superior	ADJ
cuesj-1203	99	16	in	in	ADP
cuesj-1203	99	17	accuracy	accuracy	NOUN
cuesj-1203	99	18	98	98	NUM
cuesj-1203	99	19	%	%	NOUN
cuesj-1203	99	20	accuracy	accuracy	NOUN
cuesj-1203	99	21	compared	compare	VERB
cuesj-1203	99	22	to	to	ADP
cuesj-1203	99	23	svm	svm	VERB
cuesj-1203	99	24	,	,	PUNCT
cuesj-1203	99	25	decision	decision	NOUN
cuesj-1203	99	26	tree	tree	NOUN
cuesj-1203	99	27	,	,	PUNCT
cuesj-1203	99	28	and	and	CCONJ
cuesj-1203	99	29	random	random	ADJ
cuesj-1203	99	30	forest	forest	NOUN
cuesj-1203	99	31	(	(	PUNCT
cuesj-1203	99	32	94	94	NUM
cuesj-1203	99	33	%	%	NOUN
cuesj-1203	99	34	,	,	PUNCT
cuesj-1203	99	35	74	74	NUM
cuesj-1203	99	36	%	%	NOUN
cuesj-1203	99	37	,	,	PUNCT
cuesj-1203	99	38	and	and	CCONJ
cuesj-1203	99	39	89	89	NUM
cuesj-1203	99	40	%	%	NOUN
cuesj-1203	99	41	)	)	PUNCT
cuesj-1203	99	42	,	,	PUNCT
cuesj-1203	99	43	respectively	respectively	ADV
cuesj-1203	99	44	.	.	PUNCT
cuesj-1203	100	1	this	this	PRON
cuesj-1203	100	2	demonstrates	demonstrate	VERB
cuesj-1203	100	3	the	the	DET
cuesj-1203	100	4	capability	capability	NOUN
cuesj-1203	100	5	to	to	PART
cuesj-1203	100	6	combine	combine	VERB
cuesj-1203	100	7	the	the	DET
cuesj-1203	100	8	merits	merit	NOUN
cuesj-1203	100	9	of	of	ADP
cuesj-1203	100	10	the	the	DET
cuesj-1203	100	11	cnn	cnn	PROPN
cuesj-1203	100	12	network	network	NOUN
cuesj-1203	100	13	that	that	PRON
cuesj-1203	100	14	handles	handle	VERB
cuesj-1203	100	15	the	the	DET
cuesj-1203	100	16	raw	raw	ADJ
cuesj-1203	100	17	data	datum	NOUN
cuesj-1203	100	18	by	by	ADP
cuesj-1203	100	19	storing	store	VERB
cuesj-1203	100	20	the	the	DET
cuesj-1203	100	21	trends	trend	NOUN
cuesj-1203	100	22	,	,	PUNCT
cuesj-1203	100	23	while	while	SCONJ
cuesj-1203	100	24	lstm	lstm	ADJ
cuesj-1203	100	25	network	network	NOUN
cuesj-1203	100	26	memorizes	memorize	VERB
cuesj-1203	100	27	similar	similar	ADJ
cuesj-1203	100	28	features	feature	NOUN
cuesj-1203	100	29	within	within	ADP
cuesj-1203	100	30	a	a	DET
cuesj-1203	100	31	single	single	ADJ
cuesj-1203	100	32	class	class	NOUN
cuesj-1203	100	33	in	in	ADP
cuesj-1203	100	34	the	the	DET
cuesj-1203	100	35	dataset	dataset	NOUN
cuesj-1203	100	36	.	.	PUNCT
cuesj-1203	101	1	in	in	ADP
cuesj-1203	101	2	short	short	ADJ
cuesj-1203	101	3	,	,	PUNCT
cuesj-1203	101	4	the	the	DET
cuesj-1203	101	5	outcomes	outcome	NOUN
cuesj-1203	101	6	prove	prove	VERB
cuesj-1203	101	7	that	that	SCONJ
cuesj-1203	101	8	the	the	DET
cuesj-1203	101	9	proposed	propose	VERB
cuesj-1203	101	10	hybrid	hybrid	ADJ
cuesj-1203	101	11	cnn	cnn	PROPN
cuesj-1203	101	12	-	-	PUNCT
cuesj-1203	101	13	lstm	lstm	ADJ
cuesj-1203	101	14	structure	structure	NOUN
cuesj-1203	101	15	is	be	AUX
cuesj-1203	101	16	efficient	efficient	ADJ
cuesj-1203	101	17	and	and	CCONJ
cuesj-1203	101	18	highly	highly	ADV
cuesj-1203	101	19	accurate	accurate	ADJ
cuesj-1203	101	20	in	in	ADP
cuesj-1203	101	21	recognizing	recognize	VERB
cuesj-1203	101	22	and	and	CCONJ
cuesj-1203	101	23	identifying	identify	VERB
cuesj-1203	101	24	handwritten	handwritten	ADJ
cuesj-1203	101	25	digits	digit	NOUN
cuesj-1203	101	26	.	.	PUNCT
cuesj-1203	102	1	references	reference	NOUN
cuesj-1203	102	2	1	1	NUM
cuesj-1203	102	3	.	.	PUNCT
cuesj-1203	102	4	b.	b.	PROPN
cuesj-1203	102	5	vinush	vinush	PROPN
cuesj-1203	102	6	,	,	PUNCT
cuesj-1203	102	7	v.	v.	ADP
cuesj-1203	102	8	indhuja	indhuja	PROPN
cuesj-1203	102	9	and	and	CCONJ
cuesj-1203	102	10	s.	s.	PROPN
cuesj-1203	102	11	reddy	reddy	PROPN
cuesj-1203	102	12	.	.	PUNCT
cuesj-1203	103	1	advancing	advance	VERB
cuesj-1203	103	2	optical	optical	ADJ
cuesj-1203	103	3	character	character	NOUN
cuesj-1203	103	4	recognition	recognition	NOUN
cuesj-1203	103	5	for	for	ADP
cuesj-1203	103	6	handwritten	handwritten	ADJ
cuesj-1203	103	7	text	text	NOUN
cuesj-1203	103	8	:	:	PUNCT
cuesj-1203	103	9	enhancing	enhance	VERB
cuesj-1203	103	10	efficiency	efficiency	NOUN
cuesj-1203	103	11	and	and	CCONJ
cuesj-1203	103	12	streamlining	streamline	VERB
cuesj-1203	103	13	document	document	NOUN
cuesj-1203	103	14	management	management	NOUN
cuesj-1203	103	15	.	.	PUNCT
cuesj-1203	104	1	in	in	ADP
cuesj-1203	104	2	:	:	PUNCT
cuesj-1203	104	3	2023	2023	NUM
cuesj-1203	104	4	14th	14th	ADJ
cuesj-1203	104	5	international	international	ADJ
cuesj-1203	104	6	conference	conference	NOUN
cuesj-1203	104	7	on	on	ADP
cuesj-1203	104	8	computing	compute	VERB
cuesj-1203	104	9	communication	communication	NOUN
cuesj-1203	104	10	and	and	CCONJ
cuesj-1203	104	11	networking	networking	NOUN
cuesj-1203	104	12	technologies	technology	NOUN
cuesj-1203	104	13	(	(	PUNCT
cuesj-1203	104	14	icccnt	icccnt	ADJ
cuesj-1203	104	15	)	)	PUNCT
cuesj-1203	104	16	,	,	PUNCT
cuesj-1203	104	17	delhi	delhi	PROPN
cuesj-1203	104	18	,	,	PUNCT
cuesj-1203	104	19	india	india	PROPN
cuesj-1203	104	20	,	,	PUNCT
cuesj-1203	104	21	pp	pp	ADJ
cuesj-1203	104	22	.	.	PUNCT
cuesj-1203	104	23	1	1	NUM
cuesj-1203	104	24	-	-	SYM
cuesj-1203	104	25	8	8	NUM
cuesj-1203	104	26	,	,	PUNCT
cuesj-1203	104	27	2023	2023	NUM
cuesj-1203	104	28	.	.	PUNCT
cuesj-1203	105	1	2	2	NUM
cuesj-1203	105	2	.	.	PUNCT
cuesj-1203	105	3	t.	t.	PROPN
cuesj-1203	105	4	yamasaki	yamasaki	PROPN
cuesj-1203	105	5	and	and	CCONJ
cuesj-1203	105	6	a.	a.	NOUN
cuesj-1203	105	7	hiramatsu	hiramatsu	NOUN
cuesj-1203	105	8	.	.	PUNCT
cuesj-1203	106	1	a	a	DET
cuesj-1203	106	2	study	study	NOUN
cuesj-1203	106	3	of	of	ADP
cuesj-1203	106	4	correcting	correct	VERB
cuesj-1203	106	5	handwritten	handwritten	ADJ
cuesj-1203	106	6	answers	answer	NOUN
cuesj-1203	106	7	for	for	ADP
cuesj-1203	106	8	short	short	ADJ
cuesj-1203	106	9	essay	essay	NOUN
cuesj-1203	106	10	self	self	NOUN
cuesj-1203	106	11	-	-	PUNCT
cuesj-1203	106	12	learning	learn	VERB
cuesj-1203	106	13	systems	system	NOUN
cuesj-1203	106	14	.	.	PUNCT
cuesj-1203	107	1	in	in	ADP
cuesj-1203	107	2	:	:	PUNCT
cuesj-1203	107	3	2023	2023	NUM
cuesj-1203	107	4	14th	14th	NOUN
cuesj-1203	107	5	iiai	iiai	PROPN
cuesj-1203	107	6	international	international	PROPN
cuesj-1203	107	7	congress	congress	PROPN
cuesj-1203	107	8	on	on	ADP
cuesj-1203	107	9	advanced	advanced	ADJ
cuesj-1203	107	10	applied	apply	VERB
cuesj-1203	107	11	informatics	informatic	NOUN
cuesj-1203	107	12	(	(	PUNCT
cuesj-1203	107	13	iiai	iiai	NOUN
cuesj-1203	107	14	-	-	PUNCT
cuesj-1203	107	15	aai	aai	PROPN
cuesj-1203	107	16	)	)	PUNCT
cuesj-1203	107	17	,	,	PUNCT
cuesj-1203	107	18	koriyama	koriyama	NOUN
cuesj-1203	107	19	,	,	PUNCT
cuesj-1203	107	20	japan	japan	PROPN
cuesj-1203	107	21	,	,	PUNCT
cuesj-1203	107	22	pp	pp	PROPN
cuesj-1203	107	23	.	.	PUNCT
cuesj-1203	108	1	241	241	NUM
cuesj-1203	108	2	-	-	SYM
cuesj-1203	108	3	246	246	NUM
cuesj-1203	108	4	,	,	PUNCT
cuesj-1203	108	5	2023	2023	NUM
cuesj-1203	108	6	.	.	PUNCT
cuesj-1203	109	1	3	3	X
cuesj-1203	109	2	.	.	PUNCT
cuesj-1203	109	3	p.	p.	NOUN
cuesj-1203	109	4	p.	p.	NOUN
cuesj-1203	109	5	jain	jain	PROPN
cuesj-1203	109	6	and	and	CCONJ
cuesj-1203	109	7	h.	h.	PROPN
cuesj-1203	109	8	r.	r.	PROPN
cuesj-1203	109	9	mamatha	mamatha	PROPN
cuesj-1203	109	10	.	.	PUNCT
cuesj-1203	110	1	intelligent	intelligent	ADJ
cuesj-1203	110	2	recognition	recognition	NOUN
cuesj-1203	110	3	of	of	ADP
cuesj-1203	110	4	ancient	ancient	ADJ
cuesj-1203	110	5	brahmi	brahmi	NOUN
cuesj-1203	110	6	characters	character	NOUN
cuesj-1203	110	7	using	use	VERB
cuesj-1203	110	8	transfer	transfer	NOUN
cuesj-1203	110	9	learning	learning	NOUN
cuesj-1203	110	10	.	.	PUNCT
cuesj-1203	111	1	in	in	ADP
cuesj-1203	111	2	:	:	PUNCT
cuesj-1203	111	3	2023	2023	NUM
cuesj-1203	111	4	third	third	ADJ
cuesj-1203	111	5	international	international	ADJ
cuesj-1203	111	6	conference	conference	NOUN
cuesj-1203	111	7	on	on	ADP
cuesj-1203	111	8	advances	advance	NOUN
cuesj-1203	111	9	in	in	ADP
cuesj-1203	111	10	electrical	electrical	ADJ
cuesj-1203	111	11	,	,	PUNCT
cuesj-1203	111	12	computing	computing	NOUN
cuesj-1203	111	13	,	,	PUNCT
cuesj-1203	111	14	communication	communication	NOUN
cuesj-1203	111	15	and	and	CCONJ
cuesj-1203	111	16	sustainable	sustainable	ADJ
cuesj-1203	111	17	technologies	technology	NOUN
cuesj-1203	111	18	(	(	PUNCT
cuesj-1203	111	19	icaect	icaect	NOUN
cuesj-1203	111	20	)	)	PUNCT
cuesj-1203	111	21	,	,	PUNCT
cuesj-1203	111	22	bhilai	bhilai	PROPN
cuesj-1203	111	23	,	,	PUNCT
cuesj-1203	111	24	india	india	PROPN
cuesj-1203	111	25	,	,	PUNCT
cuesj-1203	111	26	pp	pp	ADJ
cuesj-1203	111	27	.	.	PUNCT
cuesj-1203	111	28	1	1	NUM
cuesj-1203	111	29	-	-	SYM
cuesj-1203	111	30	6	6	NUM
cuesj-1203	111	31	,	,	PUNCT
cuesj-1203	111	32	2023	2023	NUM
cuesj-1203	111	33	.	.	PUNCT
cuesj-1203	111	34	4	4	NUM
cuesj-1203	111	35	.	.	X
cuesj-1203	111	36	s.	s.	PROPN
cuesj-1203	111	37	surana	surana	PROPN
cuesj-1203	111	38	,	,	PUNCT
cuesj-1203	111	39	k.	k.	PROPN
cuesj-1203	111	40	pathak	pathak	PROPN
cuesj-1203	111	41	,	,	PUNCT
cuesj-1203	111	42	m.	m.	NOUN
cuesj-1203	111	43	gagnani	gagnani	PROPN
cuesj-1203	111	44	,	,	PUNCT
cuesj-1203	111	45	v.	v.	ADP
cuesj-1203	111	46	shrivastava	shrivastava	PROPN
cuesj-1203	111	47	,	,	PUNCT
cuesj-1203	111	48	m.	m.	NOUN
cuesj-1203	111	49	t.	t.	PROPN
cuesj-1203	111	50	r.	r.	PROPN
cuesj-1203	111	51	and	and	CCONJ
cuesj-1203	111	52	g.	g.	PROPN
cuesj-1203	111	53	s.	s.	PROPN
cuesj-1203	111	54	madhuri	madhuri	PROPN
cuesj-1203	111	55	.	.	PUNCT
cuesj-1203	112	1	text	text	NOUN
cuesj-1203	112	2	extraction	extraction	NOUN
cuesj-1203	112	3	and	and	CCONJ
cuesj-1203	112	4	detection	detection	NOUN
cuesj-1203	112	5	from	from	ADP
cuesj-1203	112	6	images	image	NOUN
cuesj-1203	112	7	using	use	VERB
cuesj-1203	112	8	machine	machine	NOUN
cuesj-1203	112	9	learning	learn	VERB
cuesj-1203	112	10	techniques	technique	NOUN
cuesj-1203	112	11	:	:	PUNCT
cuesj-1203	112	12	a	a	DET
cuesj-1203	112	13	research	research	NOUN
cuesj-1203	112	14	review	review	NOUN
cuesj-1203	112	15	.	.	PUNCT
cuesj-1203	113	1	in	in	ADP
cuesj-1203	113	2	:	:	PUNCT
cuesj-1203	113	3	2022	2022	NUM
cuesj-1203	113	4	international	international	ADJ
cuesj-1203	113	5	conference	conference	NOUN
cuesj-1203	113	6	on	on	ADP
cuesj-1203	113	7	electronics	electronic	NOUN
cuesj-1203	113	8	and	and	CCONJ
cuesj-1203	113	9	renewable	renewable	ADJ
cuesj-1203	113	10	systems	system	NOUN
cuesj-1203	113	11	(	(	PUNCT
cuesj-1203	113	12	icears	icear	NOUN
cuesj-1203	113	13	)	)	PUNCT
cuesj-1203	113	14	,	,	PUNCT
cuesj-1203	113	15	tuticorin	tuticorin	NOUN
cuesj-1203	113	16	,	,	PUNCT
cuesj-1203	113	17	india	india	PROPN
cuesj-1203	113	18	,	,	PUNCT
cuesj-1203	113	19	pp	pp	PROPN
cuesj-1203	113	20	.	.	PUNCT
cuesj-1203	113	21	1201	1201	NUM
cuesj-1203	113	22	-	-	SYM
cuesj-1203	113	23	1207	1207	NUM
cuesj-1203	113	24	,	,	PUNCT
cuesj-1203	113	25	2022	2022	NUM
cuesj-1203	113	26	.	.	PUNCT
cuesj-1203	114	1	5	5	NUM
cuesj-1203	114	2	.	.	PUNCT
cuesj-1203	114	3	p.	p.	NOUN
cuesj-1203	114	4	r.	r.	PROPN
cuesj-1203	114	5	bagde	bagde	PROPN
cuesj-1203	114	6	and	and	CCONJ
cuesj-1203	114	7	a.	a.	NOUN
cuesj-1203	114	8	a.	a.	NOUN
cuesj-1203	114	9	gurjar	gurjar	PROPN
cuesj-1203	114	10	.	.	PUNCT
cuesj-1203	115	1	a	a	DET
cuesj-1203	115	2	handwritten	handwritten	ADJ
cuesj-1203	115	3	recognition	recognition	NOUN
cuesj-1203	115	4	for	for	ADP
cuesj-1203	115	5	free	free	ADJ
cuesj-1203	115	6	style	style	NOUN
cuesj-1203	115	7	marathi	marathi	PROPN
cuesj-1203	115	8	script	script	NOUN
cuesj-1203	115	9	using	use	VERB
cuesj-1203	115	10	genetic	genetic	ADJ
cuesj-1203	115	11	algorithm	algorithm	NOUN
cuesj-1203	115	12	.	.	PUNCT
cuesj-1203	116	1	in	in	ADP
cuesj-1203	116	2	:	:	PUNCT
cuesj-1203	116	3	2016	2016	NUM
cuesj-1203	116	4	international	international	ADJ
cuesj-1203	116	5	conference	conference	NOUN
cuesj-1203	116	6	on	on	ADP
cuesj-1203	116	7	global	global	ADJ
cuesj-1203	116	8	trends	trend	NOUN
cuesj-1203	116	9	in	in	ADP
cuesj-1203	116	10	signal	signal	ADJ
cuesj-1203	116	11	processing	processing	NOUN
cuesj-1203	116	12	,	,	PUNCT
cuesj-1203	116	13	information	information	NOUN
cuesj-1203	116	14	computing	computing	NOUN
cuesj-1203	116	15	and	and	CCONJ
cuesj-1203	116	16	communication	communication	NOUN
cuesj-1203	116	17	(	(	PUNCT
cuesj-1203	116	18	icgtspicc	icgtspicc	NOUN
cuesj-1203	116	19	)	)	PUNCT
cuesj-1203	116	20	,	,	PUNCT
cuesj-1203	116	21	jalgaon	jalgaon	PROPN
cuesj-1203	116	22	,	,	PUNCT
cuesj-1203	116	23	india	india	PROPN
cuesj-1203	116	24	,	,	PUNCT
cuesj-1203	116	25	pp	pp	ADJ
cuesj-1203	116	26	.	.	PUNCT
cuesj-1203	116	27	43	43	NUM
cuesj-1203	116	28	-	-	SYM
cuesj-1203	116	29	48	48	NUM
cuesj-1203	116	30	,	,	PUNCT
cuesj-1203	116	31	2016	2016	NUM
cuesj-1203	116	32	.	.	PUNCT
cuesj-1203	117	1	6	6	NUM
cuesj-1203	117	2	.	.	PUNCT
cuesj-1203	117	3	s.	s.	PROPN
cuesj-1203	117	4	gotovac	gotovac	PROPN
cuesj-1203	117	5	,	,	PUNCT
cuesj-1203	117	6	ž	ž	PROPN
cuesj-1203	117	7	.	.	PUNCT
cuesj-1203	118	1	marušić	marušić	PROPN
cuesj-1203	118	2	,	,	PUNCT
cuesj-1203	118	3	d.	d.	PROPN
cuesj-1203	118	4	zelenika	zelenika	PROPN
cuesj-1203	118	5	and	and	CCONJ
cuesj-1203	118	6	ž	ž	PROPN
cuesj-1203	118	7	.	.	PUNCT
cuesj-1203	118	8	šeremet	šeremet	NOUN
cuesj-1203	118	9	.	.	PUNCT
cuesj-1203	119	1	bimodal	bimodal	NOUN
cuesj-1203	119	2	system	system	NOUN
cuesj-1203	119	3	for	for	ADP
cuesj-1203	119	4	recognition	recognition	NOUN
cuesj-1203	119	5	of	of	ADP
cuesj-1203	119	6	authors	author	NOUN
cuesj-1203	119	7	of	of	ADP
cuesj-1203	119	8	handwritten	handwritten	ADJ
cuesj-1203	119	9	documents	document	NOUN
cuesj-1203	119	10	.	.	PUNCT
cuesj-1203	120	1	in	in	ADP
cuesj-1203	120	2	:	:	PUNCT
cuesj-1203	120	3	2015	2015	NUM
cuesj-1203	120	4	4th	4th	ADJ
cuesj-1203	120	5	mediterranean	mediterranean	PROPN
cuesj-1203	120	6	conference	conference	NOUN
cuesj-1203	120	7	on	on	ADP
cuesj-1203	120	8	embedded	embed	VERB
cuesj-1203	120	9	computing	computing	NOUN
cuesj-1203	120	10	(	(	PUNCT
cuesj-1203	120	11	meco	meco	PROPN
cuesj-1203	120	12	)	)	PUNCT
cuesj-1203	120	13	,	,	PUNCT
cuesj-1203	120	14	budva	budva	NOUN
cuesj-1203	120	15	,	,	PUNCT
cuesj-1203	120	16	montenegro	montenegro	PROPN
cuesj-1203	120	17	,	,	PUNCT
cuesj-1203	120	18	pp	pp	ADJ
cuesj-1203	120	19	.	.	PUNCT
cuesj-1203	120	20	203	203	NUM
cuesj-1203	120	21	-	-	SYM
cuesj-1203	120	22	207	207	NUM
cuesj-1203	120	23	,	,	PUNCT
cuesj-1203	120	24	2015	2015	NUM
cuesj-1203	120	25	.	.	PUNCT
cuesj-1203	121	1	7	7	X
cuesj-1203	121	2	.	.	X
cuesj-1203	121	3	n.	n.	PROPN
cuesj-1203	121	4	shelke	shelke	PROPN
cuesj-1203	121	5	,	,	PUNCT
cuesj-1203	121	6	s.	s.	PROPN
cuesj-1203	121	7	jadhav	jadhav	PROPN
cuesj-1203	121	8	,	,	PUNCT
cuesj-1203	121	9	m.	m.	NOUN
cuesj-1203	121	10	doifode	doifode	PROPN
cuesj-1203	121	11	,	,	PUNCT
cuesj-1203	121	12	y.	y.	PROPN
cuesj-1203	121	13	umate	umate	PROPN
cuesj-1203	121	14	,	,	PUNCT
cuesj-1203	121	15	r.	r.	PROPN
cuesj-1203	121	16	patil	patil	PROPN
cuesj-1203	121	17	and	and	CCONJ
cuesj-1203	121	18	n.	n.	PROPN
cuesj-1203	121	19	harinkhede	harinkhede	PROPN
cuesj-1203	121	20	.	.	PUNCT
cuesj-1203	122	1	a	a	DET
cuesj-1203	122	2	review	review	NOUN
cuesj-1203	122	3	on	on	ADP
cuesj-1203	122	4	identification	identification	NOUN
cuesj-1203	122	5	of	of	ADP
cuesj-1203	122	6	number	number	NOUN
cuesj-1203	122	7	plate	plate	NOUN
cuesj-1203	122	8	and	and	CCONJ
cuesj-1203	122	9	wrong	wrong	ADJ
cuesj-1203	122	10	way	way	NOUN
cuesj-1203	122	11	vehicles	vehicle	NOUN
cuesj-1203	122	12	detection	detection	NOUN
cuesj-1203	122	13	.	.	PUNCT
cuesj-1203	123	1	in	in	ADP
cuesj-1203	123	2	:	:	PUNCT
cuesj-1203	123	3	2023	2023	NUM
cuesj-1203	123	4	ieee	ieee	NOUN
cuesj-1203	123	5	international	international	ADJ
cuesj-1203	123	6	student	student	NOUN
cuesj-1203	123	7	’	'	PUNCT
cuesj-1203	123	8	conference	conference	NOUN
cuesj-1203	123	9	on	on	ADP
cuesj-1203	123	10	electrical	electrical	ADJ
cuesj-1203	123	11	,	,	PUNCT
cuesj-1203	123	12	electronics	electronic	NOUN
cuesj-1203	123	13	and	and	CCONJ
cuesj-1203	123	14	computer	computer	NOUN
cuesj-1203	123	15	science	science	NOUN
cuesj-1203	123	16	(	(	PUNCT
cuesj-1203	123	17	sceecs	sceecs	PROPN
cuesj-1203	123	18	)	)	PUNCT
cuesj-1203	123	19	,	,	PUNCT
cuesj-1203	123	20	bhopal	bhopal	NOUN
cuesj-1203	123	21	,	,	PUNCT
cuesj-1203	123	22	india	india	PROPN
cuesj-1203	123	23	,	,	PUNCT
cuesj-1203	123	24	pp	pp	ADJ
cuesj-1203	123	25	.	.	PUNCT
cuesj-1203	123	26	1	1	NUM
cuesj-1203	123	27	-	-	SYM
cuesj-1203	123	28	4	4	NUM
cuesj-1203	123	29	,	,	PUNCT
cuesj-1203	123	30	2023	2023	NUM
cuesj-1203	123	31	.	.	PUNCT
cuesj-1203	123	32	8	8	NUM
cuesj-1203	123	33	.	.	PUNCT
cuesj-1203	123	34	t.	t.	PROPN
cuesj-1203	123	35	p.	p.	PROPN
cuesj-1203	123	36	hong	hong	PROPN
cuesj-1203	123	37	,	,	PUNCT
cuesj-1203	123	38	w.	w.	PROPN
cuesj-1203	123	39	c.	c.	PROPN
cuesj-1203	123	40	chen	chen	PROPN
cuesj-1203	123	41	,	,	PUNCT
cuesj-1203	123	42	c.	c.	PROPN
cuesj-1203	123	43	h.	h.	PROPN
cuesj-1203	123	44	wu	wu	PROPN
cuesj-1203	123	45	,	,	PUNCT
cuesj-1203	123	46	b.	b.	PROPN
cuesj-1203	123	47	w.	w.	PROPN
cuesj-1203	123	48	xiao	xiao	PROPN
cuesj-1203	123	49	,	,	PUNCT
cuesj-1203	123	50	b.	b.	PROPN
cuesj-1203	123	51	y.	y.	PROPN
cuesj-1203	123	52	chiang	chiang	PROPN
cuesj-1203	123	53	and	and	CCONJ
cuesj-1203	123	54	z.	z.	PROPN
cuesj-1203	123	55	x.	x.	PROPN
cuesj-1203	123	56	shen	shen	PROPN
cuesj-1203	123	57	.	.	PUNCT
cuesj-1203	123	58	information	information	NOUN
cuesj-1203	123	59	extraction	extraction	NOUN
cuesj-1203	123	60	and	and	CCONJ
cuesj-1203	123	61	analysis	analysis	NOUN
cuesj-1203	123	62	on	on	ADP
cuesj-1203	123	63	certificates	certificate	NOUN
cuesj-1203	123	64	and	and	CCONJ
cuesj-1203	123	65	medical	medical	ADJ
cuesj-1203	123	66	receipts	receipt	NOUN
cuesj-1203	123	67	.	.	PUNCT
cuesj-1203	124	1	in	in	ADP
cuesj-1203	124	2	:	:	PUNCT
cuesj-1203	124	3	2022	2022	NUM
cuesj-1203	124	4	ieee	ieee	PROPN
cuesj-1203	124	5	international	international	ADJ
cuesj-1203	124	6	conference	conference	NOUN
cuesj-1203	124	7	on	on	ADP
cuesj-1203	124	8	consumer	consumer	NOUN
cuesj-1203	124	9	electronics	electronic	NOUN
cuesj-1203	124	10	(	(	PUNCT
cuesj-1203	124	11	icce	icce	NOUN
cuesj-1203	124	12	)	)	PUNCT
cuesj-1203	124	13	,	,	PUNCT
cuesj-1203	124	14	las	las	PROPN
cuesj-1203	124	15	vegas	vegas	PROPN
cuesj-1203	124	16	,	,	PUNCT
cuesj-1203	124	17	nv	nv	PROPN
cuesj-1203	124	18	,	,	PUNCT
cuesj-1203	124	19	usa	usa	PROPN
cuesj-1203	124	20	,	,	PUNCT
cuesj-1203	124	21	pp	pp	ADJ
cuesj-1203	124	22	.	.	PUNCT
cuesj-1203	124	23	1	1	NUM
cuesj-1203	124	24	-	-	SYM
cuesj-1203	124	25	4	4	NUM
cuesj-1203	124	26	,	,	PUNCT
cuesj-1203	124	27	2022	2022	NUM
cuesj-1203	124	28	.	.	PUNCT
cuesj-1203	125	1	9	9	X
cuesj-1203	125	2	.	.	X
cuesj-1203	125	3	d.	d.	PROPN
cuesj-1203	125	4	redelmeier	redelmeier	PROPN
cuesj-1203	125	5	,	,	PUNCT
cuesj-1203	125	6	n.	n.	NOUN
cuesj-1203	125	7	umberin	umberin	NOUN
cuesj-1203	125	8	and	and	CCONJ
cuesj-1203	125	9	e.	e.	PROPN
cuesj-1203	125	10	etchells	etchells	PROPN
cuesj-1203	125	11	.	.	PUNCT
cuesj-1203	126	1	understanding	understand	VERB
cuesj-1203	126	2	patient	patient	ADJ
cuesj-1203	126	3	personality	personality	NOUN
cuesj-1203	126	4	in	in	ADP
cuesj-1203	126	5	medical	medical	ADJ
cuesj-1203	126	6	care	care	NOUN
cuesj-1203	126	7	:	:	PUNCT
cuesj-1203	126	8	five	five	NUM
cuesj-1203	126	9	-	-	PUNCT
cuesj-1203	126	10	factor	factor	NOUN
cuesj-1203	126	11	model	model	NOUN
cuesj-1203	126	12	.	.	PUNCT
cuesj-1203	127	1	journal	journal	PROPN
cuesj-1203	127	2	of	of	ADP
cuesj-1203	127	3	general	general	ADJ
cuesj-1203	127	4	internal	internal	ADJ
cuesj-1203	127	5	medicine	medicine	NOUN
cuesj-1203	127	6	,	,	PUNCT
cuesj-1203	127	7	vol	vol	NOUN
cuesj-1203	127	8	.	.	PROPN
cuesj-1203	127	9	36	36	NUM
cuesj-1203	127	10	,	,	PUNCT
cuesj-1203	127	11	pp	pp	ADJ
cuesj-1203	127	12	.	.	PUNCT
cuesj-1203	128	1	2111	2111	NUM
cuesj-1203	128	2	-	-	SYM
cuesj-1203	128	3	2114	2114	NUM
cuesj-1203	128	4	,	,	PUNCT
cuesj-1203	128	5	2021	2021	NUM
cuesj-1203	128	6	.	.	PUNCT
cuesj-1203	129	1	10	10	NUM
cuesj-1203	129	2	.	.	PUNCT
cuesj-1203	129	3	w.	w.	PROPN
cuesj-1203	129	4	liu	liu	PROPN
cuesj-1203	129	5	,	,	PUNCT
cuesj-1203	129	6	j.	j.	PROPN
cuesj-1203	129	7	wei	wei	PROPN
cuesj-1203	129	8	and	and	CCONJ
cuesj-1203	129	9	q.	q.	PROPN
cuesj-1203	129	10	meng	meng	PROPN
cuesj-1203	129	11	.	.	PUNCT
cuesj-1203	130	1	comparisions	comparision	NOUN
cuesj-1203	130	2	on	on	ADP
cuesj-1203	130	3	knn	knn	PROPN
cuesj-1203	130	4	,	,	PUNCT
cuesj-1203	130	5	svm	svm	PROPN
cuesj-1203	130	6	,	,	PUNCT
cuesj-1203	130	7	bp	bp	PROPN
cuesj-1203	130	8	and	and	CCONJ
cuesj-1203	130	9	the	the	DET
cuesj-1203	130	10	cnn	cnn	PROPN
cuesj-1203	130	11	for	for	ADP
cuesj-1203	130	12	handwritten	handwritten	ADJ
cuesj-1203	130	13	digit	digit	NOUN
cuesj-1203	130	14	recognition	recognition	NOUN
cuesj-1203	130	15	.	.	PUNCT
cuesj-1203	131	1	in	in	ADP
cuesj-1203	131	2	:	:	PUNCT
cuesj-1203	131	3	2020	2020	NUM
cuesj-1203	131	4	ieee	ieee	PROPN
cuesj-1203	131	5	international	international	ADJ
cuesj-1203	131	6	conference	conference	NOUN
cuesj-1203	131	7	on	on	ADP
cuesj-1203	131	8	advances	advance	NOUN
cuesj-1203	131	9	in	in	ADP
cuesj-1203	131	10	electrical	electrical	ADJ
cuesj-1203	131	11	engineering	engineering	NOUN
cuesj-1203	131	12	and	and	CCONJ
cuesj-1203	131	13	computer	computer	NOUN
cuesj-1203	131	14	applications	application	NOUN
cuesj-1203	131	15	(	(	PUNCT
cuesj-1203	131	16	aeeca	aeeca	NOUN
cuesj-1203	131	17	)	)	PUNCT
cuesj-1203	131	18	,	,	PUNCT
cuesj-1203	131	19	dalian	dalian	PROPN
cuesj-1203	131	20	,	,	PUNCT
cuesj-1203	131	21	china	china	PROPN
cuesj-1203	131	22	,	,	PUNCT
cuesj-1203	131	23	pp	pp	ADJ
cuesj-1203	131	24	.	.	PUNCT
cuesj-1203	132	1	587	587	NUM
cuesj-1203	132	2	-	-	SYM
cuesj-1203	132	3	590	590	NUM
cuesj-1203	132	4	,	,	PUNCT
cuesj-1203	132	5	2020	2020	NUM
cuesj-1203	132	6	.	.	PUNCT
cuesj-1203	133	1	11	11	NUM
cuesj-1203	133	2	.	.	PUNCT
cuesj-1203	133	3	a.	a.	NOUN
cuesj-1203	133	4	mahmoodzadeh	mahmoodzadeh	PROPN
cuesj-1203	133	5	,	,	PUNCT
cuesj-1203	133	6	s.	s.	PROPN
cuesj-1203	133	7	rashidi	rashidi	PROPN
cuesj-1203	133	8	,	,	PUNCT
cuesj-1203	133	9	a.	a.	PROPN
cuesj-1203	133	10	h.	h.	PROPN
cuesj-1203	133	11	mohammed	mohammed	PROPN
cuesj-1203	133	12	,	,	PUNCT
cuesj-1203	133	13	h.	h.	PROPN
cuesj-1203	133	14	f.	f.	PROPN
cuesj-1203	133	15	h.	h.	PROPN
cuesj-1203	133	16	ali	ali	PROPN
cuesj-1203	133	17	and	and	CCONJ
cuesj-1203	133	18	h.	h.	PROPN
cuesj-1203	133	19	h.	h.	PROPN
cuesj-1203	133	20	ibrahim	ibrahim	PROPN
cuesj-1203	133	21	.	.	PUNCT
cuesj-1203	134	1	machine	machine	NOUN
cuesj-1203	134	2	learning	learn	VERB
cuesj-1203	134	3	approaches	approach	NOUN
cuesj-1203	134	4	to	to	PART
cuesj-1203	134	5	enable	enable	VERB
cuesj-1203	134	6	resource	resource	NOUN
cuesj-1203	134	7	forecasting	forecasting	NOUN
cuesj-1203	134	8	process	process	NOUN
cuesj-1203	134	9	of	of	ADP
cuesj-1203	134	10	road	road	NOUN
cuesj-1203	134	11	tunnels	tunnel	NOUN
cuesj-1203	134	12	construction	construction	NOUN
cuesj-1203	134	13	.	.	PUNCT
cuesj-1203	135	1	in	in	ADP
cuesj-1203	135	2	:	:	PUNCT
cuesj-1203	135	3	4th	4th	ADJ
cuesj-1203	135	4	international	international	ADJ
cuesj-1203	135	5	conference	conference	NOUN
cuesj-1203	135	6	on	on	ADP
cuesj-1203	135	7	communication	communication	NOUN
cuesj-1203	135	8	engineering	engineering	NOUN
cuesj-1203	135	9	and	and	CCONJ
cuesj-1203	135	10	computer	computer	NOUN
cuesj-1203	135	11	science	science	NOUN
cuesj-1203	135	12	(	(	PUNCT
cuesj-1203	135	13	cic	cic	PROPN
cuesj-1203	135	14	-	-	PUNCT
cuesj-1203	135	15	cocos’22	cocos’22	NOUN
cuesj-1203	135	16	)	)	PUNCT
cuesj-1203	135	17	.	.	PUNCT
cuesj-1203	136	1	12	12	NUM
cuesj-1203	136	2	.	.	PUNCT
cuesj-1203	137	1	k.	k.	PROPN
cuesj-1203	137	2	lavanya	lavanya	PROPN
cuesj-1203	137	3	,	,	PUNCT
cuesj-1203	137	4	s.	s.	PROPN
cuesj-1203	137	5	bajaj	bajaj	PROPN
cuesj-1203	137	6	,	,	PUNCT
cuesj-1203	137	7	p.	p.	NOUN
cuesj-1203	137	8	tank	tank	NOUN
cuesj-1203	137	9	and	and	CCONJ
cuesj-1203	137	10	s.	s.	PROPN
cuesj-1203	137	11	jain	jain	PROPN
cuesj-1203	137	12	.	.	PUNCT
cuesj-1203	138	1	handwritten	handwritten	ADJ
cuesj-1203	138	2	digit	digit	NOUN
cuesj-1203	138	3	recognition	recognition	NOUN
cuesj-1203	138	4	using	use	VERB
cuesj-1203	138	5	hoeffding	hoeffding	NOUN
cuesj-1203	138	6	tree	tree	NOUN
cuesj-1203	138	7	,	,	PUNCT
cuesj-1203	138	8	decision	decision	NOUN
cuesj-1203	138	9	tree	tree	NOUN
cuesj-1203	138	10	and	and	CCONJ
cuesj-1203	138	11	random	random	ADJ
cuesj-1203	138	12	forests	forest	NOUN
cuesj-1203	138	13	a	a	DET
cuesj-1203	138	14	comparative	comparative	ADJ
cuesj-1203	138	15	approach	approach	NOUN
cuesj-1203	138	16	.	.	PUNCT
cuesj-1203	139	1	in	in	ADP
cuesj-1203	139	2	:	:	PUNCT
cuesj-1203	139	3	2017	2017	NUM
cuesj-1203	139	4	international	international	ADJ
cuesj-1203	139	5	conference	conference	NOUN
cuesj-1203	139	6	on	on	ADP
cuesj-1203	139	7	computational	computational	ADJ
cuesj-1203	139	8	intelligence	intelligence	NOUN
cuesj-1203	139	9	in	in	ADP
cuesj-1203	139	10	data	data	NOUN
cuesj-1203	139	11	science	science	NOUN
cuesj-1203	139	12	(	(	PUNCT
cuesj-1203	139	13	iccids	iccid	NOUN
cuesj-1203	139	14	)	)	PUNCT
cuesj-1203	139	15	,	,	PUNCT
cuesj-1203	139	16	chennai	chennai	PROPN
cuesj-1203	139	17	,	,	PUNCT
cuesj-1203	139	18	india	india	PROPN
cuesj-1203	139	19	,	,	PUNCT
cuesj-1203	139	20	pp	pp	ADJ
cuesj-1203	139	21	.	.	PUNCT
cuesj-1203	139	22	1	1	NUM
cuesj-1203	139	23	-	-	SYM
cuesj-1203	139	24	6	6	NUM
cuesj-1203	139	25	,	,	PUNCT
cuesj-1203	139	26	2017	2017	NUM
cuesj-1203	139	27	.	.	PUNCT
cuesj-1203	139	28	13	13	NUM
cuesj-1203	139	29	.	.	PUNCT
cuesj-1203	139	30	z.	z.	PROPN
cuesj-1203	139	31	li	li	PROPN
cuesj-1203	139	32	,	,	PUNCT
cuesj-1203	139	33	l.	l.	PROPN
cuesj-1203	139	34	ma	ma	PROPN
cuesj-1203	139	35	,	,	PUNCT
cuesj-1203	139	36	x.	x.	PROPN
cuesj-1203	139	37	ke	ke	PROPN
cuesj-1203	139	38	and	and	CCONJ
cuesj-1203	139	39	y.	y.	PROPN
cuesj-1203	139	40	wang	wang	PROPN
cuesj-1203	139	41	.	.	PUNCT
cuesj-1203	140	1	handwritten	handwritten	ADJ
cuesj-1203	140	2	digit	digit	NOUN
cuesj-1203	140	3	recognition	recognition	NOUN
cuesj-1203	140	4	via	via	ADP
cuesj-1203	140	5	active	active	ADJ
cuesj-1203	140	6	belief	belief	NOUN
cuesj-1203	140	7	decision	decision	NOUN
cuesj-1203	140	8	trees	tree	NOUN
cuesj-1203	140	9	.	.	PUNCT
cuesj-1203	141	1	in	in	ADP
cuesj-1203	141	2	:	:	PUNCT
cuesj-1203	141	3	2016	2016	NUM
cuesj-1203	141	4	35th	35th	ADJ
cuesj-1203	141	5	chinese	chinese	ADJ
cuesj-1203	141	6	control	control	PROPN
cuesj-1203	141	7	conference	conference	PROPN
cuesj-1203	141	8	(	(	PUNCT
cuesj-1203	141	9	ccc	ccc	PROPN
cuesj-1203	141	10	)	)	PUNCT
cuesj-1203	141	11	,	,	PUNCT
cuesj-1203	141	12	chengdu	chengdu	PROPN
cuesj-1203	141	13	,	,	PUNCT
cuesj-1203	141	14	china	china	PROPN
cuesj-1203	141	15	,	,	PUNCT
cuesj-1203	141	16	pp	pp	ADJ
cuesj-1203	141	17	.	.	PUNCT
cuesj-1203	141	18	7021	7021	NUM
cuesj-1203	141	19	-	-	SYM
cuesj-1203	141	20	7025	7025	NUM
cuesj-1203	141	21	,	,	PUNCT
cuesj-1203	141	22	2016	2016	NUM
cuesj-1203	141	23	.	.	PUNCT
cuesj-1203	142	1	14	14	NUM
cuesj-1203	142	2	.	.	PUNCT
cuesj-1203	142	3	a.	a.	NOUN
cuesj-1203	142	4	saffari	saffari	PROPN
cuesj-1203	142	5	,	,	PUNCT
cuesj-1203	142	6	m.	m.	NOUN
cuesj-1203	142	7	khishe	khishe	PROPN
cuesj-1203	142	8	,	,	PUNCT
cuesj-1203	142	9	m.	m.	NOUN
cuesj-1203	142	10	mohammadi	mohammadi	NOUN
cuesj-1203	142	11	,	,	PUNCT
cuesj-1203	142	12	h.	h.	PROPN
cuesj-1203	142	13	mohammed	mohammed	PROPN
cuesj-1203	142	14	and	and	CCONJ
cuesj-1203	142	15	s.	s.	PROPN
cuesj-1203	142	16	rashidi	rashidi	PROPN
cuesj-1203	142	17	.	.	PUNCT
cuesj-1203	143	1	dcnn	dcnn	PROPN
cuesj-1203	143	2	-	-	PUNCT
cuesj-1203	143	3	fuzzywoa	fuzzywoa	ADJ
cuesj-1203	143	4	:	:	PUNCT
cuesj-1203	143	5	artificial	artificial	ADJ
cuesj-1203	143	6	intelligence	intelligence	NOUN
cuesj-1203	143	7	solution	solution	NOUN
cuesj-1203	143	8	for	for	ADP
cuesj-1203	143	9	automatic	automatic	ADJ
cuesj-1203	143	10	detection	detection	NOUN
cuesj-1203	143	11	of	of	ADP
cuesj-1203	143	12	covid-19	covid-19	PROPN
cuesj-1203	143	13	using	use	VERB
cuesj-1203	143	14	x	x	NOUN
cuesj-1203	143	15	-	-	NOUN
cuesj-1203	143	16	ray	ray	NOUN
cuesj-1203	143	17	images	image	NOUN
cuesj-1203	143	18	.	.	PUNCT
cuesj-1203	144	1	computational	computational	ADJ
cuesj-1203	144	2	intelligence	intelligence	NOUN
cuesj-1203	144	3	and	and	CCONJ
cuesj-1203	144	4	neuroscience	neuroscience	NOUN
cuesj-1203	144	5	,	,	PUNCT
cuesj-1203	144	6	vol	vol	NOUN
cuesj-1203	144	7	.	.	NOUN
cuesj-1203	144	8	2022	2022	NUM
cuesj-1203	144	9	,	,	PUNCT
cuesj-1203	144	10	p.	p.	NOUN
cuesj-1203	144	11	5677961	5677961	NUM
cuesj-1203	144	12	,	,	PUNCT
cuesj-1203	144	13	2022	2022	NUM
cuesj-1203	144	14	.	.	PUNCT
cuesj-1203	145	1	15	15	NUM
cuesj-1203	145	2	.	.	PUNCT
cuesj-1203	145	3	m.	m.	NOUN
cuesj-1203	145	4	assaad	assaad	PROPN
cuesj-1203	145	5	,	,	PUNCT
cuesj-1203	145	6	r.	r.	NOUN
cuesj-1203	145	7	boné	boné	PROPN
cuesj-1203	145	8	and	and	CCONJ
cuesj-1203	145	9	h.	h.	NOUN
cuesj-1203	145	10	cardot	cardot	NOUN
cuesj-1203	145	11	.	.	PUNCT
cuesj-1203	146	1	a	a	DET
cuesj-1203	146	2	new	new	ADJ
cuesj-1203	146	3	boosting	boost	VERB
cuesj-1203	146	4	algorithm	algorithm	NOUN
cuesj-1203	146	5	for	for	ADP
cuesj-1203	146	6	improved	improved	ADJ
cuesj-1203	146	7	time	time	NOUN
cuesj-1203	146	8	-	-	PUNCT
cuesj-1203	146	9	series	series	NOUN
cuesj-1203	146	10	forecasting	forecasting	NOUN
cuesj-1203	146	11	with	with	ADP
cuesj-1203	146	12	recurrent	recurrent	ADJ
cuesj-1203	146	13	neural	neural	ADJ
cuesj-1203	146	14	networks	network	NOUN
cuesj-1203	146	15	.	.	PUNCT
cuesj-1203	147	1	information	information	NOUN
cuesj-1203	147	2	fusion	fusion	NOUN
cuesj-1203	147	3	,	,	PUNCT
cuesj-1203	147	4	vol	vol	NOUN
cuesj-1203	147	5	.	.	NOUN
cuesj-1203	147	6	9	9	NUM
cuesj-1203	147	7	,	,	PUNCT
cuesj-1203	147	8	pp	pp	ADJ
cuesj-1203	147	9	.	.	PUNCT
cuesj-1203	148	1	41	41	NUM
cuesj-1203	148	2	-	-	SYM
cuesj-1203	148	3	55	55	NUM
cuesj-1203	148	4	,	,	PUNCT
cuesj-1203	148	5	2008	2008	NUM
cuesj-1203	148	6	.	.	PUNCT
cuesj-1203	149	1	16	16	NUM
cuesj-1203	149	2	.	.	PUNCT
cuesj-1203	149	3	a.	a.	PROPN
cuesj-1203	149	4	e.	e.	PROPN
cuesj-1203	149	5	francis	francis	PROPN
cuesj-1203	149	6	.	.	PROPN
cuesj-1203	149	7	time	time	PROPN
cuesj-1203	149	8	processing	processing	NOUN
cuesj-1203	149	9	of	of	ADP
cuesj-1203	149	10	brain	brain	NOUN
cuesj-1203	149	11	’s	’s	PART
cuesj-1203	149	12	electrical	electrical	ADJ
cuesj-1203	149	13	signals	signal	NOUN
cuesj-1203	149	14	using	use	VERB
cuesj-1203	149	15	normalized	normalize	VERB
cuesj-1203	149	16	constant	constant	ADJ
cuesj-1203	149	17	-	-	PUNCT
cuesj-1203	149	18	correlation	correlation	NOUN
cuesj-1203	149	19	function	function	NOUN
cuesj-1203	149	20	to	to	PART
cuesj-1203	149	21	diagnose	diagnose	VERB
cuesj-1203	149	22	brain	brain	NOUN
cuesj-1203	149	23	lesions	lesion	NOUN
cuesj-1203	149	24	.	.	PUNCT
cuesj-1203	150	1	in	in	ADP
cuesj-1203	150	2	:	:	PUNCT
cuesj-1203	150	3	cihan	cihan	VERB
cuesj-1203	150	4	university	university	NOUN
cuesj-1203	150	5	-	-	PUNCT
cuesj-1203	150	6	erbil	erbil	PROPN
cuesj-1203	150	7	conferences	conference	NOUN
cuesj-1203	150	8	,	,	PUNCT
cuesj-1203	150	9	3rd	3rd	ADJ
cuesj-1203	150	10	international	international	ADJ
cuesj-1203	150	11	conference	conference	NOUN
cuesj-1203	150	12	on	on	ADP
cuesj-1203	150	13	communication	communication	NOUN
cuesj-1203	150	14	engineering	engineering	NOUN
cuesj-1203	150	15	and	and	CCONJ
cuesj-1203	150	16	computer	computer	NOUN
cuesj-1203	150	17	science	science	NOUN
cuesj-1203	150	18	(	(	PUNCT
cuesj-1203	150	19	cic	cic	PROPN
cuesj-1203	150	20	-	-	PUNCT
cuesj-1203	150	21	cocos’19	cocos’19	PROPN
cuesj-1203	150	22	)	)	PUNCT
cuesj-1203	150	23	,	,	PUNCT
cuesj-1203	150	24	2019	2019	NUM
cuesj-1203	150	25	.	.	PUNCT
cuesj-1203	151	1	17	17	NUM
cuesj-1203	151	2	.	.	PUNCT
cuesj-1203	151	3	f.	f.	PROPN
cuesj-1203	151	4	husari	husari	PROPN
cuesj-1203	151	5	and	and	CCONJ
cuesj-1203	151	6	j.	j.	PROPN
cuesj-1203	151	7	seshadrinath	seshadrinath	PROPN
cuesj-1203	151	8	.	.	PUNCT
cuesj-1203	152	1	stator	stator	NOUN
cuesj-1203	152	2	turn	turn	VERB
cuesj-1203	152	3	fault	fault	VERB
cuesj-1203	152	4	diagnosis	diagnosis	NOUN
cuesj-1203	152	5	and	and	CCONJ
cuesj-1203	152	6	severity	severity	NOUN
cuesj-1203	152	7	assessment	assessment	NOUN
cuesj-1203	152	8	in	in	ADP
cuesj-1203	152	9	converter	converter	NOUN
cuesj-1203	152	10	-	-	PUNCT
cuesj-1203	152	11	fed	feed	VERB
cuesj-1203	152	12	induction	induction	NOUN
cuesj-1203	152	13	motor	motor	NOUN
cuesj-1203	152	14	using	use	VERB
cuesj-1203	152	15	flat	flat	ADJ
cuesj-1203	152	16	diagnosis	diagnosis	NOUN
cuesj-1203	152	17	structure	structure	NOUN
cuesj-1203	152	18	based	base	VERB
cuesj-1203	152	19	on	on	ADP
cuesj-1203	152	20	deep	deep	ADJ
cuesj-1203	152	21	learning	learning	NOUN
cuesj-1203	152	22	approach	approach	NOUN
cuesj-1203	152	23	.	.	PUNCT
cuesj-1203	153	1	ieee	ieee	PROPN
cuesj-1203	153	2	journal	journal	PROPN
cuesj-1203	153	3	of	of	ADP
cuesj-1203	153	4	emerging	emerge	VERB
cuesj-1203	153	5	and	and	CCONJ
cuesj-1203	153	6	selected	select	VERB
cuesj-1203	153	7	topics	topic	NOUN
cuesj-1203	153	8	in	in	ADP
cuesj-1203	153	9	power	power	NOUN
cuesj-1203	153	10	electronics	electronic	NOUN
cuesj-1203	153	11	,	,	PUNCT
cuesj-1203	153	12	vol	vol	NOUN
cuesj-1203	153	13	.	.	PROPN
cuesj-1203	153	14	11	11	NUM
cuesj-1203	153	15	,	,	PUNCT
cuesj-1203	153	16	no	no	INTJ
cuesj-1203	153	17	.	.	NOUN
cuesj-1203	153	18	6	6	NUM
cuesj-1203	153	19	,	,	PUNCT
cuesj-1203	153	20	pp	pp	ADJ
cuesj-1203	153	21	.	.	PUNCT
cuesj-1203	154	1	5649	5649	NUM
cuesj-1203	154	2	-	-	SYM
cuesj-1203	154	3	5657	5657	NUM
cuesj-1203	154	4	,	,	PUNCT
cuesj-1203	154	5	2023	2023	NUM
cuesj-1203	154	6	.	.	PUNCT
cuesj-1203	155	1	18	18	NUM
cuesj-1203	155	2	.	.	PUNCT
cuesj-1203	155	3	g.	g.	PROPN
cuesj-1203	155	4	a.	a.	NOUN
cuesj-1203	155	5	mulla	mulla	PROPN
cuesj-1203	155	6	and	and	CCONJ
cuesj-1203	155	7	demir	demir	PROPN
cuesj-1203	155	8	,	,	PUNCT
cuesj-1203	155	9	y.	y.	VERB
cuesj-1203	155	10	the	the	DET
cuesj-1203	155	11	use	use	NOUN
cuesj-1203	155	12	of	of	ADP
cuesj-1203	155	13	clustering	clustering	NOUN
cuesj-1203	155	14	and	and	CCONJ
cuesj-1203	155	15	classification	classification	NOUN
cuesj-1203	155	16	methods	method	NOUN
cuesj-1203	155	17	in	in	ADP
cuesj-1203	155	18	machine	machine	NOUN
cuesj-1203	155	19	learning	learning	NOUN
cuesj-1203	155	20	and	and	CCONJ
cuesj-1203	155	21	comparison	comparison	NOUN
cuesj-1203	155	22	of	of	ADP
cuesj-1203	155	23	some	some	DET
cuesj-1203	155	24	algorithms	algorithm	NOUN
cuesj-1203	155	25	of	of	ADP
cuesj-1203	155	26	the	the	DET
cuesj-1203	155	27	methods	method	NOUN
cuesj-1203	155	28	.	.	PUNCT
cuesj-1203	156	1	cihan	cihan	VERB
cuesj-1203	156	2	university	university	NOUN
cuesj-1203	156	3	-	-	PUNCT
cuesj-1203	156	4	erbil	erbil	PROPN
cuesj-1203	156	5	scientific	scientific	ADJ
cuesj-1203	156	6	journal	journal	NOUN
cuesj-1203	156	7	,	,	PUNCT
cuesj-1203	156	8	7(1	7(1	NUM
cuesj-1203	156	9	)	)	PUNCT
cuesj-1203	156	10	,	,	PUNCT
cuesj-1203	156	11	52	52	NUM
cuesj-1203	156	12	-	-	SYM
cuesj-1203	156	13	59	59	NUM
cuesj-1203	156	14	,	,	PUNCT
cuesj-1203	156	15	2023	2023	NUM
cuesj-1203	156	16	.	.	PUNCT
cuesj-1203	157	1	figure	figure	NOUN
cuesj-1203	157	2	8	8	NUM
cuesj-1203	157	3	:	:	PUNCT
cuesj-1203	157	4	confusion	confusion	NOUN
cuesj-1203	157	5	matrix	matrix	NOUN
cuesj-1203	157	6	of	of	ADP
cuesj-1203	157	7	random	random	ADJ
cuesj-1203	157	8	forest	forest	NOUN
cuesj-1203	157	9	model	model	NOUN