id	sid	tid	token	lemma	pos
cana-4323	1	1	communications	communication	NOUN
cana-4323	1	2	on	on	ADP
cana-4323	1	3	applied	apply	VERB
cana-4323	1	4	nonlinear	nonlinear	ADJ
cana-4323	1	5	analysis	analysis	NOUN
cana-4323	1	6	issn	issn	NOUN
cana-4323	1	7	:	:	PUNCT
cana-4323	1	8	1074	1074	NUM
cana-4323	1	9	-	-	PUNCT
cana-4323	1	10	133x	133x	NUM
cana-4323	1	11	vol	vol	NOUN
cana-4323	1	12	32	32	NUM
cana-4323	1	13	no	no	NOUN
cana-4323	1	14	.	.	NOUN
cana-4323	1	15	3	3	NUM
cana-4323	1	16	(	(	PUNCT
cana-4323	1	17	2025	2025	NUM
cana-4323	1	18	)	)	PUNCT
cana-4323	1	19	787	787	NUM
cana-4323	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	1	21	an	an	DET
cana-4323	1	22	efficient	efficient	ADJ
cana-4323	1	23	counterfeit	counterfeit	ADJ
cana-4323	1	24	medicine	medicine	NOUN
cana-4323	1	25	classification	classification	NOUN
cana-4323	1	26	forecasting	forecasting	NOUN
cana-4323	1	27	system	system	NOUN
cana-4323	1	28	:	:	PUNCT
cana-4323	1	29	a	a	DET
cana-4323	1	30	structure	structure	NOUN
cana-4323	1	31	based	base	VERB
cana-4323	1	32	deep	deep	ADJ
cana-4323	1	33	learning	learning	NOUN
cana-4323	1	34	technique	technique	NOUN
cana-4323	1	35	binitha	binitha	PROPN
cana-4323	1	36	s	s	PROPN
cana-4323	1	37	thomson1	thomson1	NOUN
cana-4323	1	38	,	,	PUNCT
cana-4323	1	39	dr	dr	PROPN
cana-4323	1	40	.	.	PROPN
cana-4323	1	41	w.	w.	PROPN
cana-4323	1	42	rose	rise	VERB
cana-4323	1	43	varuna2	varuna2	NOUN
cana-4323	1	44	1ph.d	1ph.d	NUM
cana-4323	1	45	.	.	PUNCT
cana-4323	1	46	research	research	NOUN
cana-4323	1	47	scholar	scholar	NOUN
cana-4323	1	48	,	,	PUNCT
cana-4323	1	49	department	department	NOUN
cana-4323	1	50	of	of	ADP
cana-4323	1	51	information	information	NOUN
cana-4323	1	52	technology	technology	PROPN
cana-4323	1	53	,	,	PUNCT
cana-4323	1	54	bharathiar	bharathiar	PROPN
cana-4323	1	55	university	university	PROPN
cana-4323	1	56	,	,	PUNCT
cana-4323	1	57	coimbatore-46	coimbatore-46	PROPN
cana-4323	1	58	.	.	PROPN
cana-4323	1	59	,	,	PUNCT
cana-4323	1	60	bini2796tha@gmail.com	bini2796tha@gmail.com	X
cana-4323	2	1	2assistant	2assistant	NUM
cana-4323	2	2	professor	professor	NOUN
cana-4323	2	3	,	,	PUNCT
cana-4323	2	4	department	department	NOUN
cana-4323	2	5	of	of	ADP
cana-4323	2	6	information	information	NOUN
cana-4323	2	7	technology	technology	PROPN
cana-4323	2	8	,	,	PUNCT
cana-4323	2	9	bharathiar	bharathiar	PROPN
cana-4323	2	10	university	university	PROPN
cana-4323	2	11	,	,	PUNCT
cana-4323	2	12	coimbatore-46	coimbatore-46	PROPN
cana-4323	2	13	.	.	PROPN
cana-4323	2	14	rosevaruna@buc.edu.in	rosevaruna@buc.edu.in	PROPN
cana-4323	2	15	article	article	NOUN
cana-4323	2	16	history	history	NOUN
cana-4323	2	17	:	:	PUNCT
cana-4323	2	18	received	receive	VERB
cana-4323	2	19	:	:	PUNCT
cana-4323	2	20	12	12	NUM
cana-4323	2	21	-	-	SYM
cana-4323	2	22	01	01	NUM
cana-4323	2	23	-	-	PUNCT
cana-4323	2	24	2025	2025	NUM
cana-4323	2	25	revised	revise	VERB
cana-4323	2	26	:	:	PUNCT
cana-4323	2	27	15	15	NUM
cana-4323	2	28	-	-	NUM
cana-4323	2	29	02	02	NUM
cana-4323	2	30	-	-	PUNCT
cana-4323	2	31	2025	2025	NUM
cana-4323	2	32	accepted	accept	VERB
cana-4323	2	33	:	:	PUNCT
cana-4323	2	34	01	01	NUM
cana-4323	2	35	-	-	SYM
cana-4323	2	36	03	03	NUM
cana-4323	2	37	-	-	PUNCT
cana-4323	2	38	2025	2025	NUM
cana-4323	2	39	abstract	abstract	NOUN
cana-4323	2	40	:	:	PUNCT
cana-4323	2	41	identification	identification	NOUN
cana-4323	2	42	of	of	ADP
cana-4323	2	43	fake	fake	ADJ
cana-4323	2	44	medicine	medicine	NOUN
cana-4323	2	45	images	image	NOUN
cana-4323	2	46	with	with	ADP
cana-4323	2	47	chemical	chemical	ADJ
cana-4323	2	48	structure	structure	NOUN
cana-4323	2	49	by	by	ADP
cana-4323	2	50	using	use	VERB
cana-4323	2	51	different	different	ADJ
cana-4323	2	52	compounds	compound	NOUN
cana-4323	2	53	or	or	CCONJ
cana-4323	2	54	molecular	molecular	ADJ
cana-4323	2	55	compositions	composition	NOUN
cana-4323	2	56	that	that	PRON
cana-4323	2	57	are	be	AUX
cana-4323	2	58	different	different	ADJ
cana-4323	2	59	from	from	ADP
cana-4323	2	60	the	the	DET
cana-4323	2	61	legitimate	legitimate	ADJ
cana-4323	2	62	products	product	NOUN
cana-4323	2	63	.	.	PUNCT
cana-4323	3	1	thus	thus	ADV
cana-4323	3	2	,	,	PUNCT
cana-4323	3	3	by	by	ADP
cana-4323	3	4	using	use	VERB
cana-4323	3	5	better	well	ADJ
cana-4323	3	6	computational	computational	ADJ
cana-4323	3	7	approaches	approach	NOUN
cana-4323	3	8	to	to	PART
cana-4323	3	9	look	look	VERB
cana-4323	3	10	into	into	ADP
cana-4323	3	11	structural	structural	ADJ
cana-4323	3	12	features	feature	NOUN
cana-4323	3	13	can	can	AUX
cana-4323	3	14	help	help	VERB
cana-4323	3	15	in	in	ADP
cana-4323	3	16	the	the	DET
cana-4323	3	17	detection	detection	NOUN
cana-4323	3	18	of	of	ADP
cana-4323	3	19	counterfeit	counterfeit	ADJ
cana-4323	3	20	medicine	medicine	NOUN
cana-4323	3	21	.	.	PUNCT
cana-4323	4	1	the	the	DET
cana-4323	4	2	proposed	propose	VERB
cana-4323	4	3	work	work	NOUN
cana-4323	4	4	in	in	ADP
cana-4323	4	5	this	this	DET
cana-4323	4	6	paper	paper	NOUN
cana-4323	4	7	enhances	enhance	VERB
cana-4323	4	8	the	the	DET
cana-4323	4	9	ability	ability	NOUN
cana-4323	4	10	to	to	PART
cana-4323	4	11	distinguish	distinguish	VERB
cana-4323	4	12	between	between	ADP
cana-4323	4	13	the	the	DET
cana-4323	4	14	original	original	ADJ
cana-4323	4	15	and	and	CCONJ
cana-4323	4	16	fake	fake	ADJ
cana-4323	4	17	product	product	NOUN
cana-4323	4	18	that	that	PRON
cana-4323	4	19	is	be	AUX
cana-4323	4	20	crucial	crucial	ADJ
cana-4323	4	21	for	for	ADP
cana-4323	4	22	product	product	NOUN
cana-4323	4	23	legitimacy	legitimacy	NOUN
cana-4323	4	24	identification	identification	NOUN
cana-4323	4	25	and	and	CCONJ
cana-4323	4	26	consumer	consumer	NOUN
cana-4323	4	27	health	health	NOUN
cana-4323	4	28	especially	especially	ADV
cana-4323	4	29	with	with	ADP
cana-4323	4	30	industries	industry	NOUN
cana-4323	4	31	dealing	deal	VERB
cana-4323	4	32	with	with	ADP
cana-4323	4	33	pharmaceutical	pharmaceutical	ADJ
cana-4323	4	34	products	product	NOUN
cana-4323	4	35	and	and	CCONJ
cana-4323	4	36	construction	construction	NOUN
cana-4323	4	37	materials	material	NOUN
cana-4323	4	38	while	while	SCONJ
cana-4323	4	39	public	public	ADJ
cana-4323	4	40	safety	safety	NOUN
cana-4323	4	41	demands	demand	VERB
cana-4323	4	42	counterfeit	counterfeit	ADJ
cana-4323	4	43	medicine	medicine	NOUN
cana-4323	4	44	identification	identification	NOUN
cana-4323	4	45	.	.	PUNCT
cana-4323	5	1	the	the	DET
cana-4323	5	2	current	current	ADJ
cana-4323	5	3	techniques	technique	NOUN
cana-4323	5	4	prove	prove	VERB
cana-4323	5	5	to	to	PART
cana-4323	5	6	be	be	AUX
cana-4323	5	7	inefficient	inefficient	ADJ
cana-4323	5	8	and	and	CCONJ
cana-4323	5	9	the	the	DET
cana-4323	5	10	precise	precise	ADJ
cana-4323	5	11	outcomes	outcome	NOUN
cana-4323	5	12	can	can	AUX
cana-4323	5	13	be	be	AUX
cana-4323	5	14	achieved	achieve	VERB
cana-4323	5	15	by	by	ADP
cana-4323	5	16	using	use	VERB
cana-4323	5	17	complex	complex	ADJ
cana-4323	5	18	calculations	calculation	NOUN
cana-4323	5	19	derived	derive	VERB
cana-4323	5	20	from	from	ADP
cana-4323	5	21	the	the	DET
cana-4323	5	22	chemical	chemical	NOUN
cana-4323	5	23	structures	structure	NOUN
cana-4323	5	24	.	.	PUNCT
cana-4323	6	1	the	the	DET
cana-4323	6	2	aim	aim	NOUN
cana-4323	6	3	of	of	ADP
cana-4323	6	4	this	this	DET
cana-4323	6	5	study	study	NOUN
cana-4323	6	6	is	be	AUX
cana-4323	6	7	to	to	PART
cana-4323	6	8	develop	develop	VERB
cana-4323	6	9	an	an	DET
cana-4323	6	10	efficient	efficient	ADJ
cana-4323	6	11	system	system	NOUN
cana-4323	6	12	based	base	VERB
cana-4323	6	13	on	on	ADP
cana-4323	6	14	graph	graph	NOUN
cana-4323	6	15	neural	neural	ADJ
cana-4323	6	16	networks	network	NOUN
cana-4323	6	17	(	(	PUNCT
cana-4323	6	18	gnn	gnn	NOUN
cana-4323	6	19	)	)	PUNCT
cana-4323	6	20	’s	’	VERB
cana-4323	6	21	to	to	PART
cana-4323	6	22	classify	classify	VERB
cana-4323	6	23	and	and	CCONJ
cana-4323	6	24	predict	predict	VERB
cana-4323	6	25	counterfeit	counterfeit	ADJ
cana-4323	6	26	medicines	medicine	NOUN
cana-4323	6	27	for	for	ADP
cana-4323	6	28	addressing	address	VERB
cana-4323	6	29	the	the	DET
cana-4323	6	30	global	global	ADJ
cana-4323	6	31	counterfeit	counterfeit	ADJ
cana-4323	6	32	medicines	medicine	NOUN
cana-4323	6	33	issue	issue	NOUN
cana-4323	6	34	.	.	PUNCT
cana-4323	7	1	this	this	DET
cana-4323	7	2	paper	paper	NOUN
cana-4323	7	3	proposes	propose	VERB
cana-4323	7	4	the	the	DET
cana-4323	7	5	classification	classification	NOUN
cana-4323	7	6	system	system	NOUN
cana-4323	7	7	of	of	ADP
cana-4323	7	8	counterfeit	counterfeit	ADJ
cana-4323	7	9	medicines	medicine	NOUN
cana-4323	7	10	based	base	VERB
cana-4323	7	11	on	on	ADP
cana-4323	7	12	the	the	DET
cana-4323	7	13	chemical	chemical	NOUN
cana-4323	7	14	structure	structure	NOUN
cana-4323	7	15	and	and	CCONJ
cana-4323	7	16	its	its	PRON
cana-4323	7	17	forecast	forecast	NOUN
cana-4323	7	18	is	be	AUX
cana-4323	7	19	assisted	assist	VERB
cana-4323	7	20	by	by	ADP
cana-4323	7	21	the	the	DET
cana-4323	7	22	deep	deep	ADJ
cana-4323	7	23	learning	learning	NOUN
cana-4323	7	24	method	method	NOUN
cana-4323	7	25	known	know	VERB
cana-4323	7	26	as	as	ADP
cana-4323	7	27	gnn	gnn	PROPN
cana-4323	7	28	.	.	PUNCT
cana-4323	8	1	the	the	DET
cana-4323	8	2	given	give	VERB
cana-4323	8	3	methodology	methodology	NOUN
cana-4323	8	4	incorporates	incorporate	VERB
cana-4323	8	5	preprocessing	preprocesse	VERB
cana-4323	8	6	steps	step	NOUN
cana-4323	8	7	which	which	PRON
cana-4323	8	8	enhance	enhance	VERB
cana-4323	8	9	structural	structural	ADJ
cana-4323	8	10	characteristics	characteristic	NOUN
cana-4323	8	11	of	of	ADP
cana-4323	8	12	chemical	chemical	NOUN
cana-4323	8	13	compounds	compound	NOUN
cana-4323	8	14	.	.	PUNCT
cana-4323	9	1	the	the	DET
cana-4323	9	2	edge	edge	NOUN
cana-4323	9	3	detection	detection	NOUN
cana-4323	9	4	algorithms	algorithm	NOUN
cana-4323	9	5	such	such	ADJ
cana-4323	9	6	as	as	ADP
cana-4323	9	7	the	the	DET
cana-4323	9	8	canny	canny	ADJ
cana-4323	9	9	edge	edge	NOUN
cana-4323	9	10	detector	detector	NOUN
cana-4323	9	11	emphasize	emphasize	VERB
cana-4323	9	12	the	the	DET
cana-4323	9	13	prominent	prominent	ADJ
cana-4323	9	14	structural	structural	ADJ
cana-4323	9	15	features	feature	NOUN
cana-4323	9	16	.	.	PUNCT
cana-4323	10	1	the	the	DET
cana-4323	10	2	morphological	morphological	ADJ
cana-4323	10	3	operation	operation	NOUN
cana-4323	10	4	,	,	PUNCT
cana-4323	10	5	dilation	dilation	NOUN
cana-4323	10	6	,	,	PUNCT
cana-4323	10	7	and	and	CCONJ
cana-4323	10	8	erosion	erosion	NOUN
cana-4323	10	9	are	be	AUX
cana-4323	10	10	used	use	VERB
cana-4323	10	11	for	for	ADP
cana-4323	10	12	improvement	improvement	NOUN
cana-4323	10	13	of	of	ADP
cana-4323	10	14	these	these	DET
cana-4323	10	15	features	feature	NOUN
cana-4323	10	16	.	.	PUNCT
cana-4323	11	1	the	the	DET
cana-4323	11	2	proposed	propose	VERB
cana-4323	11	3	chemical	chemical	NOUN
cana-4323	11	4	structure	structure	NOUN
cana-4323	11	5	-	-	PUNCT
cana-4323	11	6	based	base	VERB
cana-4323	11	7	counterfeit	counterfeit	ADJ
cana-4323	11	8	medicine	medicine	NOUN
cana-4323	11	9	image	image	NOUN
cana-4323	11	10	detection	detection	NOUN
cana-4323	11	11	using	use	VERB
cana-4323	11	12	canny	canny	ADJ
cana-4323	11	13	edge	edge	NOUN
cana-4323	11	14	detector	detector	NOUN
cana-4323	11	15	with	with	ADP
cana-4323	11	16	graph	graph	NOUN
cana-4323	11	17	neural	neural	ADJ
cana-4323	11	18	networks	network	NOUN
cana-4323	11	19	(	(	PUNCT
cana-4323	11	20	ced	ce	VERB
cana-4323	11	21	-	-	PUNCT
cana-4323	11	22	gnn	gnn	NOUN
cana-4323	11	23	)	)	PUNCT
cana-4323	11	24	is	be	AUX
cana-4323	11	25	found	find	VERB
cana-4323	11	26	to	to	PART
cana-4323	11	27	be	be	AUX
cana-4323	11	28	better	well	ADJ
cana-4323	11	29	than	than	ADP
cana-4323	11	30	the	the	DET
cana-4323	11	31	existing	exist	VERB
cana-4323	11	32	techniques	technique	NOUN
cana-4323	11	33	with	with	ADP
cana-4323	11	34	a	a	DET
cana-4323	11	35	maximum	maximum	ADJ
cana-4323	11	36	accuracy	accuracy	NOUN
cana-4323	11	37	of	of	ADP
cana-4323	11	38	81.91	81.91	NUM
cana-4323	11	39	%	%	NOUN
cana-4323	11	40	.	.	PUNCT
cana-4323	12	1	keywords	keyword	NOUN
cana-4323	12	2	:	:	PUNCT
cana-4323	12	3	counterfeit	counterfeit	ADJ
cana-4323	12	4	medicine	medicine	NOUN
cana-4323	12	5	,	,	PUNCT
cana-4323	12	6	graph	graph	NOUN
cana-4323	12	7	neural	neural	ADJ
cana-4323	12	8	network	network	NOUN
cana-4323	12	9	,	,	PUNCT
cana-4323	12	10	edge	edge	NOUN
cana-4323	12	11	detection	detection	NOUN
cana-4323	12	12	,	,	PUNCT
cana-4323	12	13	chemical	chemical	NOUN
cana-4323	12	14	structure	structure	NOUN
cana-4323	12	15	,	,	PUNCT
cana-4323	12	16	and	and	CCONJ
cana-4323	12	17	morphological	morphological	ADJ
cana-4323	12	18	feature	feature	NOUN
cana-4323	12	19	.	.	PUNCT
cana-4323	13	1	introduction	introduction	NOUN
cana-4323	13	2	counterfeit	counterfeit	ADJ
cana-4323	13	3	medicine	medicine	NOUN
cana-4323	13	4	image	image	NOUN
cana-4323	13	5	detection	detection	NOUN
cana-4323	13	6	has	have	AUX
cana-4323	13	7	emerged	emerge	VERB
cana-4323	13	8	as	as	ADP
cana-4323	13	9	an	an	DET
cana-4323	13	10	important	important	ADJ
cana-4323	13	11	problem	problem	NOUN
cana-4323	13	12	in	in	ADP
cana-4323	13	13	many	many	ADJ
cana-4323	13	14	fields	field	NOUN
cana-4323	13	15	such	such	ADJ
cana-4323	13	16	as	as	ADP
cana-4323	13	17	ecommerce	ecommerce	NOUN
cana-4323	13	18	,	,	PUNCT
cana-4323	13	19	social	social	ADJ
cana-4323	13	20	networks	network	NOUN
cana-4323	13	21	,	,	PUNCT
cana-4323	13	22	and	and	CCONJ
cana-4323	13	23	digital	digital	ADJ
cana-4323	13	24	forensic	forensic	NOUN
cana-4323	13	25	[	[	X
cana-4323	13	26	1	1	NUM
cana-4323	13	27	]	]	PUNCT
cana-4323	13	28	.	.	PUNCT
cana-4323	14	1	the	the	DET
cana-4323	14	2	availability	availability	NOUN
cana-4323	14	3	of	of	ADP
cana-4323	14	4	better	well	ADJ
cana-4323	14	5	image	image	NOUN
cana-4323	14	6	editing	edit	VERB
cana-4323	14	7	tools	tool	NOUN
cana-4323	14	8	and	and	CCONJ
cana-4323	14	9	generative	generative	ADJ
cana-4323	14	10	adversarial	adversarial	ADJ
cana-4323	14	11	networks	network	NOUN
cana-4323	14	12	(	(	PUNCT
cana-4323	14	13	gan	gan	PROPN
cana-4323	14	14	)	)	PUNCT
cana-4323	14	15	has	have	AUX
cana-4323	14	16	facilitated	facilitate	VERB
cana-4323	14	17	the	the	DET
cana-4323	14	18	creation	creation	NOUN
cana-4323	14	19	of	of	ADP
cana-4323	14	20	fake	fake	ADJ
cana-4323	14	21	images	image	NOUN
cana-4323	14	22	,	,	PUNCT
cana-4323	14	23	which	which	PRON
cana-4323	14	24	in	in	ADP
cana-4323	14	25	turn	turn	NOUN
cana-4323	14	26	has	have	AUX
cana-4323	14	27	caused	cause	VERB
cana-4323	14	28	misrepresentation	misrepresentation	NOUN
cana-4323	14	29	,	,	PUNCT
cana-4323	14	30	loss	loss	NOUN
cana-4323	14	31	of	of	ADP
cana-4323	14	32	money	money	NOUN
cana-4323	14	33	,	,	PUNCT
cana-4323	14	34	and	and	CCONJ
cana-4323	14	35	privacy	privacy	NOUN
cana-4323	14	36	violations	violation	NOUN
cana-4323	14	37	.	.	PUNCT
cana-4323	15	1	thus	thus	ADV
cana-4323	15	2	,	,	PUNCT
cana-4323	15	3	detection	detection	NOUN
cana-4323	15	4	mechanisms	mechanism	NOUN
cana-4323	15	5	must	must	AUX
cana-4323	15	6	be	be	AUX
cana-4323	15	7	reliable	reliable	ADJ
cana-4323	15	8	and	and	CCONJ
cana-4323	15	9	capable	capable	ADJ
cana-4323	15	10	of	of	ADP
cana-4323	15	11	protecting	protect	VERB
cana-4323	15	12	against	against	ADP
cana-4323	15	13	these	these	DET
cana-4323	15	14	threats	threat	NOUN
cana-4323	15	15	.	.	PUNCT
cana-4323	16	1	tasks	task	NOUN
cana-4323	16	2	such	such	ADJ
cana-4323	16	3	as	as	ADP
cana-4323	16	4	node	node	ADJ
cana-4323	16	5	classification	classification	NOUN
cana-4323	16	6	,	,	PUNCT
cana-4323	16	7	link	link	NOUN
cana-4323	16	8	prediction	prediction	NOUN
cana-4323	16	9	,	,	PUNCT
cana-4323	16	10	and	and	CCONJ
cana-4323	16	11	graph	graph	NOUN
cana-4323	16	12	classification	classification	NOUN
cana-4323	16	13	are	be	AUX
cana-4323	16	14	very	very	ADV
cana-4323	16	15	efficient	efficient	ADJ
cana-4323	16	16	when	when	SCONJ
cana-4323	16	17	solved	solve	VERB
cana-4323	16	18	by	by	ADP
cana-4323	16	19	deep	deep	ADJ
cana-4323	16	20	learning	learning	NOUN
cana-4323	16	21	(	(	PUNCT
cana-4323	16	22	dl	dl	NOUN
cana-4323	16	23	)	)	PUNCT
cana-4323	16	24	models	model	NOUN
cana-4323	16	25	[	[	X
cana-4323	16	26	2	2	NUM
cana-4323	16	27	]	]	PUNCT
cana-4323	16	28	.	.	PUNCT
cana-4323	17	1	communications	communication	NOUN
cana-4323	17	2	on	on	ADP
cana-4323	17	3	applied	apply	VERB
cana-4323	17	4	nonlinear	nonlinear	ADJ
cana-4323	17	5	analysis	analysis	NOUN
cana-4323	17	6	issn	issn	NOUN
cana-4323	17	7	:	:	PUNCT
cana-4323	17	8	1074	1074	NUM
cana-4323	17	9	-	-	PUNCT
cana-4323	17	10	133x	133x	NUM
cana-4323	17	11	vol	vol	NOUN
cana-4323	17	12	32	32	NUM
cana-4323	17	13	no	no	NOUN
cana-4323	17	14	.	.	NOUN
cana-4323	17	15	3	3	NUM
cana-4323	17	16	(	(	PUNCT
cana-4323	17	17	2025	2025	NUM
cana-4323	17	18	)	)	PUNCT
cana-4323	17	19	788	788	NUM
cana-4323	17	20	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-4323	17	21	counterfeit	counterfeit	ADJ
cana-4323	17	22	medicine	medicine	NOUN
cana-4323	17	23	are	be	AUX
cana-4323	17	24	identified	identify	VERB
cana-4323	17	25	based	base	VERB
cana-4323	17	26	on	on	ADP
cana-4323	17	27	the	the	DET
cana-4323	17	28	chemical	chemical	NOUN
cana-4323	17	29	composition	composition	NOUN
cana-4323	17	30	of	of	ADP
cana-4323	17	31	the	the	DET
cana-4323	17	32	said	say	VERB
cana-4323	17	33	drugs	drug	NOUN
cana-4323	17	34	.	.	PUNCT
cana-4323	18	1	some	some	PRON
cana-4323	18	2	of	of	ADP
cana-4323	18	3	the	the	DET
cana-4323	18	4	methods	method	NOUN
cana-4323	18	5	that	that	PRON
cana-4323	18	6	may	may	AUX
cana-4323	18	7	be	be	AUX
cana-4323	18	8	employed	employ	VERB
cana-4323	18	9	in	in	ADP
cana-4323	18	10	this	this	DET
cana-4323	18	11	process	process	NOUN
cana-4323	18	12	include	include	VERB
cana-4323	18	13	spectroscopy	spectroscopy	NOUN
cana-4323	18	14	,	,	PUNCT
cana-4323	18	15	chromatography	chromatography	NOUN
cana-4323	18	16	and	and	CCONJ
cana-4323	18	17	mass	mass	ADJ
cana-4323	18	18	spectrometry	spectrometry	NOUN
cana-4323	19	1	[	[	X
cana-4323	19	2	3	3	NUM
cana-4323	19	3	]	]	PUNCT
cana-4323	19	4	.	.	PUNCT
cana-4323	20	1	spectroscopy	spectroscopy	NOUN
cana-4323	20	2	is	be	AUX
cana-4323	20	3	a	a	DET
cana-4323	20	4	method	method	NOUN
cana-4323	20	5	of	of	ADP
cana-4323	20	6	studying	study	VERB
cana-4323	20	7	the	the	DET
cana-4323	20	8	effect	effect	NOUN
cana-4323	20	9	of	of	ADP
cana-4323	20	10	light	light	NOUN
cana-4323	20	11	on	on	ADP
cana-4323	20	12	chemical	chemical	ADJ
cana-4323	20	13	substances	substance	NOUN
cana-4323	20	14	and	and	CCONJ
cana-4323	20	15	depends	depend	VERB
cana-4323	20	16	on	on	ADP
cana-4323	20	17	the	the	DET
cana-4323	20	18	absorption	absorption	NOUN
cana-4323	20	19	spectra	spectra	NOUN
cana-4323	20	20	to	to	PART
cana-4323	20	21	infer	infer	VERB
cana-4323	20	22	the	the	DET
cana-4323	20	23	molecular	molecular	ADJ
cana-4323	20	24	structure	structure	NOUN
cana-4323	20	25	of	of	ADP
cana-4323	20	26	the	the	DET
cana-4323	20	27	compound	compound	NOUN
cana-4323	20	28	.	.	PUNCT
cana-4323	21	1	chromatography	chromatography	NOUN
cana-4323	21	2	enables	enable	VERB
cana-4323	21	3	one	one	NUM
cana-4323	21	4	to	to	PART
cana-4323	21	5	distinguish	distinguish	VERB
cana-4323	21	6	between	between	ADP
cana-4323	21	7	chemical	chemical	NOUN
cana-4323	21	8	compounds	compound	NOUN
cana-4323	21	9	in	in	ADP
cana-4323	21	10	a	a	DET
cana-4323	21	11	mixture	mixture	NOUN
cana-4323	21	12	by	by	ADP
cana-4323	21	13	separating	separate	VERB
cana-4323	21	14	them	they	PRON
cana-4323	21	15	.	.	PUNCT
cana-4323	22	1	mass	mass	ADJ
cana-4323	22	2	spectrometry	spectrometry	NOUN
cana-4323	22	3	quantifies	quantifie	NOUN
cana-4323	22	4	and	and	CCONJ
cana-4323	22	5	qualitatively	qualitatively	ADV
cana-4323	22	6	determines	determine	VERB
cana-4323	22	7	the	the	DET
cana-4323	22	8	mass	mass	NOUN
cana-4323	22	9	to	to	PART
cana-4323	22	10	charge	charge	VERB
cana-4323	22	11	ratio	ratio	NOUN
cana-4323	22	12	of	of	ADP
cana-4323	22	13	the	the	DET
cana-4323	22	14	ions	ion	NOUN
cana-4323	22	15	.	.	PUNCT
cana-4323	23	1	these	these	DET
cana-4323	23	2	methods	method	NOUN
cana-4323	23	3	help	help	VERB
cana-4323	23	4	in	in	ADP
cana-4323	23	5	giving	give	VERB
cana-4323	23	6	a	a	DET
cana-4323	23	7	true	true	ADJ
cana-4323	23	8	account	account	NOUN
cana-4323	23	9	of	of	ADP
cana-4323	23	10	the	the	DET
cana-4323	23	11	chemical	chemical	NOUN
cana-4323	23	12	make	make	NOUN
cana-4323	23	13	-	-	PUNCT
cana-4323	23	14	up	up	NOUN
cana-4323	23	15	of	of	ADP
cana-4323	23	16	a	a	DET
cana-4323	23	17	medicine	medicine	NOUN
cana-4323	23	18	and	and	CCONJ
cana-4323	23	19	can	can	AUX
cana-4323	23	20	be	be	AUX
cana-4323	23	21	used	use	VERB
cana-4323	23	22	to	to	PART
cana-4323	23	23	compare	compare	VERB
cana-4323	23	24	with	with	ADP
cana-4323	23	25	a	a	DET
cana-4323	23	26	standard	standard	ADJ
cana-4323	23	27	sample	sample	NOUN
cana-4323	23	28	of	of	ADP
cana-4323	23	29	the	the	DET
cana-4323	23	30	same	same	ADJ
cana-4323	23	31	medicine	medicine	NOUN
cana-4323	23	32	[	[	X
cana-4323	23	33	4	4	NUM
cana-4323	23	34	]	]	PUNCT
cana-4323	23	35	.	.	PUNCT
cana-4323	24	1	even	even	ADV
cana-4323	24	2	the	the	DET
cana-4323	24	3	smallest	small	ADJ
cana-4323	24	4	of	of	ADP
cana-4323	24	5	variations	variation	NOUN
cana-4323	24	6	in	in	ADP
cana-4323	24	7	the	the	DET
cana-4323	24	8	chemical	chemical	NOUN
cana-4323	24	9	make	make	VERB
cana-4323	24	10	-	-	PUNCT
cana-4323	24	11	up	up	NOUN
cana-4323	24	12	or	or	CCONJ
cana-4323	24	13	molecular	molecular	ADJ
cana-4323	24	14	structure	structure	NOUN
cana-4323	24	15	of	of	ADP
cana-4323	24	16	the	the	DET
cana-4323	24	17	materials	material	NOUN
cana-4323	24	18	is	be	AUX
cana-4323	24	19	a	a	DET
cana-4323	24	20	sign	sign	NOUN
cana-4323	24	21	of	of	ADP
cana-4323	24	22	fakes	fake	NOUN
cana-4323	24	23	.	.	PUNCT
cana-4323	25	1	this	this	DET
cana-4323	25	2	comparative	comparative	ADJ
cana-4323	25	3	analysis	analysis	NOUN
cana-4323	25	4	assists	assist	NOUN
cana-4323	25	5	in	in	ADP
cana-4323	25	6	weeding	weed	VERB
cana-4323	25	7	out	out	ADP
cana-4323	25	8	fake	fake	ADJ
cana-4323	25	9	drugs	drug	NOUN
cana-4323	25	10	in	in	ADP
cana-4323	25	11	the	the	DET
cana-4323	25	12	market	market	NOUN
cana-4323	25	13	hence	hence	ADV
cana-4323	25	14	protecting	protect	VERB
cana-4323	25	15	the	the	DET
cana-4323	25	16	consumers	consumer	NOUN
cana-4323	25	17	from	from	ADP
cana-4323	25	18	the	the	DET
cana-4323	25	19	effects	effect	NOUN
cana-4323	25	20	of	of	ADP
cana-4323	25	21	counterfeit	counterfeit	ADJ
cana-4323	25	22	medicine	medicine	NOUN
cana-4323	25	23	.	.	PUNCT
cana-4323	26	1	advanced	advanced	ADJ
cana-4323	26	2	statistical	statistical	ADJ
cana-4323	26	3	tools	tool	NOUN
cana-4323	26	4	are	be	AUX
cana-4323	26	5	very	very	ADV
cana-4323	26	6	useful	useful	ADJ
cana-4323	26	7	in	in	ADP
cana-4323	26	8	identifying	identify	VERB
cana-4323	26	9	counterfeit	counterfeit	ADJ
cana-4323	26	10	medicine	medicine	NOUN
cana-4323	26	11	in	in	ADP
cana-4323	26	12	the	the	DET
cana-4323	26	13	market	market	NOUN
cana-4323	26	14	[	[	X
cana-4323	26	15	5	5	NUM
cana-4323	26	16	]	]	PUNCT
cana-4323	26	17	.	.	PUNCT
cana-4323	27	1	counterfeit	counterfeit	ADJ
cana-4323	27	2	medicine	medicine	NOUN
cana-4323	27	3	-	-	PUNCT
cana-4323	27	4	based	base	VERB
cana-4323	27	5	image	image	NOUN
cana-4323	27	6	prediction	prediction	NOUN
cana-4323	27	7	using	use	VERB
cana-4323	27	8	chemical	chemical	NOUN
cana-4323	27	9	structure	structure	NOUN
cana-4323	27	10	is	be	AUX
cana-4323	27	11	based	base	VERB
cana-4323	27	12	on	on	ADP
cana-4323	27	13	the	the	DET
cana-4323	27	14	chemical	chemical	NOUN
cana-4323	27	15	structures	structure	NOUN
cana-4323	27	16	of	of	ADP
cana-4323	27	17	images	image	NOUN
cana-4323	27	18	to	to	PART
cana-4323	27	19	predict	predict	VERB
cana-4323	27	20	counterfeit	counterfeit	ADJ
cana-4323	27	21	medicine	medicine	NOUN
cana-4323	27	22	images	image	NOUN
cana-4323	27	23	.	.	PUNCT
cana-4323	28	1	this	this	DET
cana-4323	28	2	method	method	NOUN
cana-4323	28	3	engages	engage	VERB
cana-4323	28	4	the	the	DET
cana-4323	28	5	structure	structure	NOUN
cana-4323	28	6	of	of	ADP
cana-4323	28	7	the	the	DET
cana-4323	28	8	chemical	chemical	NOUN
cana-4323	28	9	compound	compound	NOUN
cana-4323	28	10	in	in	ADP
cana-4323	28	11	question	question	NOUN
cana-4323	28	12	and	and	CCONJ
cana-4323	28	13	assesses	assess	VERB
cana-4323	28	14	the	the	DET
cana-4323	28	15	image	image	NOUN
cana-4323	28	16	attributes	attribute	VERB
cana-4323	28	17	including	include	VERB
cana-4323	28	18	atomic	atomic	ADJ
cana-4323	28	19	arrangement	arrangement	NOUN
cana-4323	28	20	,	,	PUNCT
cana-4323	28	21	spatial	spatial	ADJ
cana-4323	28	22	disposition	disposition	NOUN
cana-4323	28	23	,	,	PUNCT
cana-4323	28	24	and	and	CCONJ
cana-4323	28	25	bonding	bond	VERB
cana-4323	28	26	[	[	X
cana-4323	28	27	6	6	NUM
cana-4323	28	28	]	]	PUNCT
cana-4323	28	29	.	.	PUNCT
cana-4323	29	1	the	the	DET
cana-4323	29	2	proposed	propose	VERB
cana-4323	29	3	method	method	NOUN
cana-4323	29	4	of	of	ADP
cana-4323	29	5	the	the	DET
cana-4323	29	6	deep	deep	ADJ
cana-4323	29	7	learning	learning	NOUN
cana-4323	29	8	can	can	AUX
cana-4323	29	9	enhance	enhance	VERB
cana-4323	29	10	the	the	DET
cana-4323	29	11	levels	level	NOUN
cana-4323	29	12	of	of	ADP
cana-4323	29	13	accuracy	accuracy	NOUN
cana-4323	29	14	and	and	CCONJ
cana-4323	29	15	performance	performance	NOUN
cana-4323	29	16	of	of	ADP
cana-4323	29	17	the	the	DET
cana-4323	29	18	counterfeit	counterfeit	ADJ
cana-4323	29	19	medicine	medicine	NOUN
cana-4323	29	20	image	image	NOUN
cana-4323	29	21	prediction	prediction	NOUN
cana-4323	29	22	systems	system	NOUN
cana-4323	29	23	and	and	CCONJ
cana-4323	29	24	can	can	AUX
cana-4323	29	25	show	show	VERB
cana-4323	29	26	high	high	ADJ
cana-4323	29	27	values	value	NOUN
cana-4323	29	28	for	for	ADP
cana-4323	29	29	the	the	DET
cana-4323	29	30	use	use	NOUN
cana-4323	29	31	in	in	ADP
cana-4323	29	32	the	the	DET
cana-4323	29	33	pharmaceutical	pharmaceutical	ADJ
cana-4323	29	34	and	and	CCONJ
cana-4323	29	35	scientific	scientific	ADJ
cana-4323	29	36	research	research	NOUN
cana-4323	29	37	[	[	X
cana-4323	29	38	7	7	NUM
cana-4323	29	39	]	]	PUNCT
cana-4323	29	40	.	.	PUNCT
cana-4323	30	1	chemical	chemical	NOUN
cana-4323	30	2	structures	structure	NOUN
cana-4323	30	3	in	in	ADP
cana-4323	30	4	the	the	DET
cana-4323	30	5	sense	sense	NOUN
cana-4323	30	6	that	that	SCONJ
cana-4323	30	7	the	the	DET
cana-4323	30	8	structures	structure	NOUN
cana-4323	30	9	are	be	AUX
cana-4323	30	10	unique	unique	ADJ
cana-4323	30	11	and	and	CCONJ
cana-4323	30	12	different	different	ADJ
cana-4323	30	13	assist	assist	NOUN
cana-4323	30	14	in	in	ADP
cana-4323	30	15	improving	improve	VERB
cana-4323	30	16	deep	deep	ADJ
cana-4323	30	17	learning	learning	NOUN
cana-4323	30	18	algorithms	algorithm	NOUN
cana-4323	30	19	for	for	ADP
cana-4323	30	20	fake	fake	ADJ
cana-4323	30	21	drugs	drug	NOUN
cana-4323	30	22	detection	detection	NOUN
cana-4323	30	23	[	[	X
cana-4323	30	24	8	8	NUM
cana-4323	30	25	]	]	PUNCT
cana-4323	30	26	.	.	PUNCT
cana-4323	31	1	it	it	PRON
cana-4323	31	2	can	can	AUX
cana-4323	31	3	be	be	AUX
cana-4323	31	4	seen	see	VERB
cana-4323	31	5	that	that	SCONJ
cana-4323	31	6	deep	deep	ADJ
cana-4323	31	7	learning	learning	NOUN
cana-4323	31	8	(	(	PUNCT
cana-4323	31	9	dl	dl	NOUN
cana-4323	31	10	)	)	PUNCT
cana-4323	31	11	algorithms	algorithm	NOUN
cana-4323	31	12	is	be	AUX
cana-4323	31	13	more	more	ADV
cana-4323	31	14	suitable	suitable	ADJ
cana-4323	31	15	for	for	ADP
cana-4323	31	16	large	large	ADJ
cana-4323	31	17	and	and	CCONJ
cana-4323	31	18	complex	complex	ADJ
cana-4323	31	19	data	datum	NOUN
cana-4323	31	20	such	such	ADJ
cana-4323	31	21	as	as	ADP
cana-4323	31	22	spectroscopic	spectroscopic	ADJ
cana-4323	31	23	scans	scan	NOUN
cana-4323	31	24	.	.	PUNCT
cana-4323	32	1	these	these	DET
cana-4323	32	2	algorithms	algorithm	NOUN
cana-4323	32	3	are	be	AUX
cana-4323	32	4	trained	train	VERB
cana-4323	32	5	with	with	ADP
cana-4323	32	6	large	large	ADJ
cana-4323	32	7	spectroscopic	spectroscopic	ADJ
cana-4323	32	8	data	datum	NOUN
cana-4323	32	9	of	of	ADP
cana-4323	32	10	the	the	DET
cana-4323	32	11	genuine	genuine	ADJ
cana-4323	32	12	and	and	CCONJ
cana-4323	32	13	counterfeit	counterfeit	ADJ
cana-4323	32	14	medicines	medicine	NOUN
cana-4323	32	15	and	and	CCONJ
cana-4323	32	16	thus	thus	ADV
cana-4323	32	17	are	be	AUX
cana-4323	32	18	able	able	ADJ
cana-4323	32	19	to	to	PART
cana-4323	32	20	learn	learn	VERB
cana-4323	32	21	different	different	ADJ
cana-4323	32	22	patterns	pattern	NOUN
cana-4323	32	23	or	or	CCONJ
cana-4323	32	24	characteristics	characteristic	NOUN
cana-4323	32	25	of	of	ADP
cana-4323	32	26	chemical	chemical	NOUN
cana-4323	32	27	structures	structure	NOUN
cana-4323	32	28	.	.	PUNCT
cana-4323	33	1	once	once	ADV
cana-4323	33	2	trained	train	VERB
cana-4323	33	3	,	,	PUNCT
cana-4323	33	4	dl	dl	PROPN
cana-4323	33	5	algorithms	algorithm	NOUN
cana-4323	33	6	are	be	AUX
cana-4323	33	7	capable	capable	ADJ
cana-4323	33	8	of	of	ADP
cana-4323	33	9	fast	fast	ADJ
cana-4323	33	10	and	and	CCONJ
cana-4323	33	11	accurate	accurate	ADJ
cana-4323	33	12	classification	classification	NOUN
cana-4323	33	13	of	of	ADP
cana-4323	33	14	new	new	ADJ
cana-4323	33	15	samples	sample	NOUN
cana-4323	33	16	for	for	ADP
cana-4323	33	17	the	the	DET
cana-4323	33	18	identification	identification	NOUN
cana-4323	33	19	of	of	ADP
cana-4323	33	20	defects	defect	NOUN
cana-4323	33	21	of	of	ADP
cana-4323	33	22	desired	desire	VERB
cana-4323	33	23	chemical	chemical	NOUN
cana-4323	33	24	composition	composition	NOUN
cana-4323	33	25	[	[	X
cana-4323	33	26	9	9	NUM
cana-4323	33	27	]	]	PUNCT
cana-4323	33	28	.	.	PUNCT
cana-4323	34	1	in	in	ADP
cana-4323	34	2	contrast	contrast	NOUN
cana-4323	34	3	to	to	ADP
cana-4323	34	4	the	the	DET
cana-4323	34	5	previously	previously	ADV
cana-4323	34	6	described	describe	VERB
cana-4323	34	7	monitoring	monitoring	NOUN
cana-4323	34	8	techniques	technique	NOUN
cana-4323	34	9	,	,	PUNCT
cana-4323	34	10	this	this	DET
cana-4323	34	11	one	one	NOUN
cana-4323	34	12	is	be	AUX
cana-4323	34	13	quite	quite	ADV
cana-4323	34	14	helpful	helpful	ADJ
cana-4323	34	15	as	as	ADP
cana-4323	34	16	deep	deep	ADJ
cana-4323	34	17	learning	learning	NOUN
cana-4323	34	18	models	model	NOUN
cana-4323	34	19	are	be	AUX
cana-4323	34	20	able	able	ADJ
cana-4323	34	21	to	to	PART
cana-4323	34	22	process	process	VERB
cana-4323	34	23	large	large	ADJ
cana-4323	34	24	amount	amount	NOUN
cana-4323	34	25	of	of	ADP
cana-4323	34	26	data	datum	NOUN
cana-4323	34	27	and	and	CCONJ
cana-4323	34	28	detect	detect	VERB
cana-4323	34	29	changes	change	NOUN
cana-4323	34	30	that	that	PRON
cana-4323	34	31	can	can	AUX
cana-4323	34	32	be	be	AUX
cana-4323	34	33	unnoticed	unnoticed	ADJ
cana-4323	34	34	by	by	ADP
cana-4323	34	35	operators	operator	NOUN
cana-4323	34	36	or	or	CCONJ
cana-4323	34	37	other	other	ADJ
cana-4323	34	38	types	type	NOUN
cana-4323	34	39	of	of	ADP
cana-4323	34	40	algorithms	algorithm	NOUN
cana-4323	34	41	[	[	X
cana-4323	34	42	10	10	NUM
cana-4323	34	43	]	]	PUNCT
cana-4323	34	44	.	.	PUNCT
cana-4323	35	1	thus	thus	ADV
cana-4323	35	2	,	,	PUNCT
cana-4323	35	3	the	the	DET
cana-4323	35	4	application	application	NOUN
cana-4323	35	5	of	of	ADP
cana-4323	35	6	deep	deep	ADJ
cana-4323	35	7	learning	learning	NOUN
cana-4323	35	8	in	in	ADP
cana-4323	35	9	large	large	ADJ
cana-4323	35	10	scale	scale	NOUN
cana-4323	35	11	of	of	ADP
cana-4323	35	12	counterfeit	counterfeit	ADJ
cana-4323	35	13	medicines	medicine	NOUN
cana-4323	35	14	identification	identification	NOUN
cana-4323	35	15	is	be	AUX
cana-4323	35	16	a	a	DET
cana-4323	35	17	very	very	ADV
cana-4323	35	18	efficient	efficient	ADJ
cana-4323	35	19	solution	solution	NOUN
cana-4323	35	20	to	to	PART
cana-4323	35	21	fight	fight	VERB
cana-4323	35	22	against	against	ADP
cana-4323	35	23	fake	fake	ADJ
cana-4323	35	24	and	and	CCONJ
cana-4323	35	25	potentially	potentially	ADV
cana-4323	35	26	unsafe	unsafe	ADJ
cana-4323	35	27	drugs	drug	NOUN
cana-4323	35	28	.	.	PUNCT
cana-4323	36	1	perhaps	perhaps	ADV
cana-4323	36	2	,	,	PUNCT
cana-4323	36	3	it	it	PRON
cana-4323	36	4	will	will	AUX
cana-4323	36	5	be	be	AUX
cana-4323	36	6	most	most	ADV
cana-4323	36	7	appropriate	appropriate	ADJ
cana-4323	36	8	to	to	ADP
cana-4323	36	9	state	state	NOUN
cana-4323	36	10	that	that	SCONJ
cana-4323	36	11	dl	dl	PROPN
cana-4323	36	12	models	model	NOUN
cana-4323	36	13	are	be	AUX
cana-4323	36	14	the	the	DET
cana-4323	36	15	most	most	ADV
cana-4323	36	16	involved	involved	ADJ
cana-4323	36	17	in	in	ADP
cana-4323	36	18	the	the	DET
cana-4323	36	19	identification	identification	NOUN
cana-4323	36	20	of	of	ADP
cana-4323	36	21	counterfeit	counterfeit	ADJ
cana-4323	36	22	medicine	medicine	NOUN
cana-4323	36	23	.	.	PUNCT
cana-4323	37	1	such	such	ADJ
cana-4323	37	2	models	model	NOUN
cana-4323	37	3	’	'	PUNCT
cana-4323	37	4	ability	ability	NOUN
cana-4323	37	5	to	to	PART
cana-4323	37	6	process	process	VERB
cana-4323	37	7	large	large	ADJ
cana-4323	37	8	datasets	dataset	NOUN
cana-4323	37	9	and	and	CCONJ
cana-4323	37	10	make	make	VERB
cana-4323	37	11	precise	precise	ADJ
cana-4323	37	12	predictions	prediction	NOUN
cana-4323	37	13	ensures	ensure	VERB
cana-4323	37	14	that	that	SCONJ
cana-4323	37	15	even	even	ADV
cana-4323	37	16	miniscule	miniscule	ADJ
cana-4323	37	17	differences	difference	NOUN
cana-4323	37	18	in	in	ADP
cana-4323	37	19	the	the	DET
cana-4323	37	20	concentration	concentration	NOUN
cana-4323	37	21	of	of	ADP
cana-4323	37	22	chemicals	chemical	NOUN
cana-4323	37	23	are	be	AUX
cana-4323	37	24	identified	identify	VERB
cana-4323	37	25	.	.	PUNCT
cana-4323	38	1	this	this	DET
cana-4323	38	2	capability	capability	NOUN
cana-4323	38	3	is	be	AUX
cana-4323	38	4	very	very	ADV
cana-4323	38	5	vital	vital	ADJ
cana-4323	38	6	especially	especially	ADV
cana-4323	38	7	in	in	ADP
cana-4323	38	8	pharma	pharma	PROPN
cana-4323	38	9	industry	industry	NOUN
cana-4323	38	10	where	where	SCONJ
cana-4323	38	11	the	the	DET
cana-4323	38	12	chemical	chemical	NOUN
cana-4323	38	13	compounds	compound	NOUN
cana-4323	38	14	that	that	PRON
cana-4323	38	15	are	be	AUX
cana-4323	38	16	consumed	consume	VERB
cana-4323	38	17	have	have	VERB
cana-4323	38	18	to	to	PART
cana-4323	38	19	be	be	AUX
cana-4323	38	20	pure	pure	ADJ
cana-4323	38	21	for	for	ADP
cana-4323	38	22	the	the	DET
cana-4323	38	23	benefit	benefit	NOUN
cana-4323	38	24	of	of	ADP
cana-4323	38	25	the	the	DET
cana-4323	38	26	consumer	consumer	NOUN
cana-4323	38	27	.	.	PUNCT
cana-4323	39	1	therefore	therefore	ADV
cana-4323	39	2	,	,	PUNCT
cana-4323	39	3	with	with	ADP
cana-4323	39	4	the	the	DET
cana-4323	39	5	help	help	NOUN
cana-4323	39	6	of	of	ADP
cana-4323	39	7	advanced	advanced	ADJ
cana-4323	39	8	techniques	technique	NOUN
cana-4323	39	9	like	like	ADP
cana-4323	39	10	the	the	DET
cana-4323	39	11	use	use	NOUN
cana-4323	39	12	of	of	ADP
cana-4323	39	13	dl	dl	PROPN
cana-4323	39	14	algorithms	algorithm	NOUN
cana-4323	39	15	,	,	PUNCT
cana-4323	39	16	scholars	scholar	NOUN
cana-4323	39	17	are	be	AUX
cana-4323	39	18	capable	capable	ADJ
cana-4323	39	19	of	of	ADP
cana-4323	39	20	developing	develop	VERB
cana-4323	39	21	effective	effective	ADJ
cana-4323	39	22	systems	system	NOUN
cana-4323	39	23	that	that	PRON
cana-4323	39	24	not	not	PART
cana-4323	39	25	only	only	ADV
cana-4323	39	26	detect	detect	VERB
cana-4323	39	27	the	the	DET
cana-4323	39	28	fake	fake	ADJ
cana-4323	39	29	drugs	drug	NOUN
cana-4323	39	30	but	but	CCONJ
cana-4323	39	31	also	also	ADV
cana-4323	39	32	prevent	prevent	VERB
cana-4323	39	33	their	their	PRON
cana-4323	39	34	distribution	distribution	NOUN
cana-4323	39	35	[	[	X
cana-4323	39	36	11	11	NUM
cana-4323	39	37	]	]	PUNCT
cana-4323	39	38	.	.	PUNCT
cana-4323	40	1	the	the	DET
cana-4323	40	2	counterfeit	counterfeit	ADJ
cana-4323	40	3	medicine	medicine	NOUN
cana-4323	40	4	image	image	NOUN
cana-4323	40	5	detection	detection	NOUN
cana-4323	40	6	,	,	PUNCT
cana-4323	40	7	especially	especially	ADV
cana-4323	40	8	in	in	ADP
cana-4323	40	9	the	the	DET
cana-4323	40	10	pharmaceutical	pharmaceutical	ADJ
cana-4323	40	11	one	one	NOUN
cana-4323	40	12	,	,	PUNCT
cana-4323	40	13	is	be	AUX
cana-4323	40	14	greatly	greatly	ADV
cana-4323	40	15	improve	improve	VERB
cana-4323	40	16	by	by	ADP
cana-4323	40	17	the	the	DET
cana-4323	40	18	means	mean	NOUN
cana-4323	40	19	of	of	ADP
cana-4323	40	20	the	the	DET
cana-4323	40	21	deep	deep	ADJ
cana-4323	40	22	learning	learning	NOUN
cana-4323	40	23	techniques	technique	NOUN
cana-4323	40	24	[	[	X
cana-4323	40	25	12	12	NUM
cana-4323	40	26	]	]	PUNCT
cana-4323	40	27	.	.	PUNCT
cana-4323	41	1	analyzing	analyze	VERB
cana-4323	41	2	the	the	DET
cana-4323	41	3	chemical	chemical	ADJ
cana-4323	41	4	characteristics	characteristic	NOUN
cana-4323	41	5	of	of	ADP
cana-4323	41	6	drugs	drug	NOUN
cana-4323	41	7	with	with	ADP
cana-4323	41	8	the	the	DET
cana-4323	41	9	help	help	NOUN
cana-4323	41	10	of	of	ADP
cana-4323	41	11	spectroscopy	spectroscopy	NOUN
cana-4323	41	12	,	,	PUNCT
cana-4323	41	13	chromatography	chromatography	NOUN
cana-4323	41	14	and	and	CCONJ
cana-4323	41	15	mass	mass	ADJ
cana-4323	41	16	spectrometry	spectrometry	NOUN
cana-4323	41	17	,	,	PUNCT
cana-4323	41	18	as	as	ADV
cana-4323	41	19	well	well	ADV
cana-4323	41	20	as	as	ADP
cana-4323	41	21	using	use	VERB
cana-4323	41	22	such	such	ADJ
cana-4323	41	23	deep	deep	ADJ
cana-4323	41	24	learning	learning	NOUN
cana-4323	41	25	models	model	NOUN
cana-4323	41	26	,	,	PUNCT
cana-4323	41	27	it	it	PRON
cana-4323	41	28	is	be	AUX
cana-4323	41	29	possible	possible	ADJ
cana-4323	41	30	to	to	PART
cana-4323	41	31	detect	detect	VERB
cana-4323	41	32	most	most	ADJ
cana-4323	41	33	of	of	ADP
cana-4323	41	34	the	the	DET
cana-4323	41	35	fake	fake	ADJ
cana-4323	41	36	drugs	drug	NOUN
cana-4323	41	37	and	and	CCONJ
cana-4323	41	38	prevent	prevent	VERB
cana-4323	41	39	their	their	PRON
cana-4323	41	40	circulation	circulation	NOUN
cana-4323	41	41	.	.	PUNCT
cana-4323	42	1	it	it	PRON
cana-4323	42	2	promotes	promote	VERB
cana-4323	42	3	the	the	DET
cana-4323	42	4	communications	communication	NOUN
cana-4323	42	5	on	on	ADP
cana-4323	42	6	applied	apply	VERB
cana-4323	42	7	nonlinear	nonlinear	ADJ
cana-4323	42	8	analysis	analysis	NOUN
cana-4323	42	9	issn	issn	NOUN
cana-4323	42	10	:	:	PUNCT
cana-4323	42	11	1074	1074	NUM
cana-4323	42	12	-	-	PUNCT
cana-4323	42	13	133x	133x	NUM
cana-4323	42	14	vol	vol	NOUN
cana-4323	42	15	32	32	NUM
cana-4323	42	16	no	no	NOUN
cana-4323	42	17	.	.	NOUN
cana-4323	42	18	3	3	NUM
cana-4323	42	19	(	(	PUNCT
cana-4323	42	20	2025	2025	NUM
cana-4323	42	21	)	)	PUNCT
cana-4323	42	22	789	789	NUM
cana-4323	42	23	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	42	24	effectiveness	effectiveness	NOUN
cana-4323	42	25	of	of	ADP
cana-4323	42	26	the	the	DET
cana-4323	42	27	counterfeit	counterfeit	ADJ
cana-4323	42	28	medicine	medicine	NOUN
cana-4323	42	29	detection	detection	NOUN
cana-4323	42	30	systems	system	NOUN
cana-4323	42	31	making	make	VERB
cana-4323	42	32	the	the	DET
cana-4323	42	33	products	product	NOUN
cana-4323	42	34	safer	safe	ADJ
cana-4323	42	35	and	and	CCONJ
cana-4323	42	36	healthier	healthy	ADJ
cana-4323	42	37	for	for	ADP
cana-4323	42	38	the	the	DET
cana-4323	42	39	consumers	consumer	NOUN
cana-4323	42	40	.	.	PUNCT
cana-4323	43	1	the	the	DET
cana-4323	43	2	incorporation	incorporation	NOUN
cana-4323	43	3	of	of	ADP
cana-4323	43	4	these	these	DET
cana-4323	43	5	sophisticated	sophisticated	ADJ
cana-4323	43	6	approaches	approach	NOUN
cana-4323	43	7	into	into	ADP
cana-4323	43	8	the	the	DET
cana-4323	43	9	counterfeit	counterfeit	ADJ
cana-4323	43	10	medicine	medicine	NOUN
cana-4323	43	11	identification	identification	NOUN
cana-4323	43	12	systems	system	NOUN
cana-4323	43	13	is	be	AUX
cana-4323	43	14	a	a	DET
cana-4323	43	15	plus	plus	NOUN
cana-4323	43	16	in	in	ADP
cana-4323	43	17	the	the	DET
cana-4323	43	18	fight	fight	NOUN
cana-4323	43	19	against	against	ADP
cana-4323	43	20	fake	fake	ADJ
cana-4323	43	21	and	and	CCONJ
cana-4323	43	22	potentially	potentially	ADV
cana-4323	43	23	dangerous	dangerous	ADJ
cana-4323	43	24	goods	good	NOUN
cana-4323	43	25	[	[	X
cana-4323	43	26	13	13	NUM
cana-4323	43	27	]	]	PUNCT
cana-4323	43	28	.	.	PUNCT
cana-4323	44	1	another	another	DET
cana-4323	44	2	problem	problem	NOUN
cana-4323	44	3	of	of	ADP
cana-4323	44	4	the	the	DET
cana-4323	44	5	counterfeit	counterfeit	ADJ
cana-4323	44	6	medicine	medicine	NOUN
cana-4323	44	7	image	image	NOUN
cana-4323	44	8	detection	detection	NOUN
cana-4323	44	9	is	be	AUX
cana-4323	44	10	the	the	DET
cana-4323	44	11	dynamic	dynamic	ADJ
cana-4323	44	12	development	development	NOUN
cana-4323	44	13	of	of	ADP
cana-4323	44	14	the	the	DET
cana-4323	44	15	methods	method	NOUN
cana-4323	44	16	of	of	ADP
cana-4323	44	17	image	image	NOUN
cana-4323	44	18	manipulation	manipulation	NOUN
cana-4323	44	19	[	[	X
cana-4323	44	20	14	14	NUM
cana-4323	44	21	]	]	PUNCT
cana-4323	44	22	.	.	PUNCT
cana-4323	45	1	since	since	SCONJ
cana-4323	45	2	novel	novel	ADJ
cana-4323	45	3	techniques	technique	NOUN
cana-4323	45	4	of	of	ADP
cana-4323	45	5	synthesizing	synthesize	VERB
cana-4323	45	6	realistic	realistic	ADJ
cana-4323	45	7	fake	fake	ADJ
cana-4323	45	8	images	image	NOUN
cana-4323	45	9	are	be	AUX
cana-4323	45	10	created	create	VERB
cana-4323	45	11	,	,	PUNCT
cana-4323	45	12	the	the	DET
cana-4323	45	13	detection	detection	NOUN
cana-4323	45	14	algorithms	algorithm	NOUN
cana-4323	45	15	should	should	AUX
cana-4323	45	16	learn	learn	VERB
cana-4323	45	17	from	from	ADP
cana-4323	45	18	these	these	DET
cana-4323	45	19	innovations	innovation	NOUN
cana-4323	45	20	.	.	PUNCT
cana-4323	46	1	this	this	PRON
cana-4323	46	2	requires	require	VERB
cana-4323	46	3	the	the	DET
cana-4323	46	4	constant	constant	ADJ
cana-4323	46	5	updating	updating	NOUN
cana-4323	46	6	and	and	CCONJ
cana-4323	46	7	training	training	NOUN
cana-4323	46	8	of	of	ADP
cana-4323	46	9	graph	graph	NOUN
cana-4323	46	10	neural	neural	ADJ
cana-4323	46	11	network	network	NOUN
cana-4323	46	12	(	(	PUNCT
cana-4323	46	13	gnn	gnn	NOUN
cana-4323	46	14	)	)	PUNCT
cana-4323	46	15	models	model	NOUN
cana-4323	46	16	on	on	ADP
cana-4323	46	17	new	new	ADJ
cana-4323	46	18	and	and	CCONJ
cana-4323	46	19	current	current	ADJ
cana-4323	46	20	data	datum	NOUN
cana-4323	46	21	sets	set	NOUN
cana-4323	46	22	of	of	ADP
cana-4323	46	23	different	different	ADJ
cana-4323	46	24	fields	field	NOUN
cana-4323	46	25	.	.	PUNCT
cana-4323	47	1	to	to	PART
cana-4323	47	2	accelerate	accelerate	VERB
cana-4323	47	3	this	this	DET
cana-4323	47	4	process	process	NOUN
cana-4323	47	5	and	and	CCONJ
cana-4323	47	6	improve	improve	VERB
cana-4323	47	7	the	the	DET
cana-4323	47	8	detection	detection	NOUN
cana-4323	47	9	accuracy	accuracy	NOUN
cana-4323	47	10	,	,	PUNCT
cana-4323	47	11	deep	deep	ADJ
cana-4323	47	12	learning	learning	NOUN
cana-4323	47	13	,	,	PUNCT
cana-4323	47	14	a	a	DET
cana-4323	47	15	technique	technique	NOUN
cana-4323	47	16	where	where	SCONJ
cana-4323	47	17	the	the	DET
cana-4323	47	18	pre	pre	ADJ
cana-4323	47	19	-	-	ADJ
cana-4323	47	20	trained	train	VERB
cana-4323	47	21	models	model	NOUN
cana-4323	47	22	are	be	AUX
cana-4323	47	23	fine	fine	ADV
cana-4323	47	24	-	-	PUNCT
cana-4323	47	25	tuned	tune	VERB
cana-4323	47	26	for	for	ADP
cana-4323	47	27	specific	specific	ADJ
cana-4323	47	28	tasks	task	NOUN
cana-4323	47	29	,	,	PUNCT
cana-4323	47	30	can	can	AUX
cana-4323	47	31	be	be	AUX
cana-4323	47	32	used	use	VERB
cana-4323	47	33	.	.	PUNCT
cana-4323	48	1	dl	dl	PROPN
cana-4323	48	2	based	base	VERB
cana-4323	48	3	on	on	ADP
cana-4323	48	4	structural	structural	ADJ
cana-4323	48	5	approach	approach	NOUN
cana-4323	48	6	to	to	ADP
cana-4323	48	7	counterfeit	counterfeit	ADJ
cana-4323	48	8	medicine	medicine	NOUN
cana-4323	48	9	image	image	NOUN
cana-4323	48	10	detection	detection	NOUN
cana-4323	48	11	make	make	VERB
cana-4323	48	12	use	use	NOUN
cana-4323	48	13	of	of	ADP
cana-4323	48	14	the	the	DET
cana-4323	48	15	intrinsic	intrinsic	ADJ
cana-4323	48	16	structural	structural	ADJ
cana-4323	48	17	properties	property	NOUN
cana-4323	48	18	of	of	ADP
cana-4323	48	19	graphs	graph	NOUN
cana-4323	48	20	for	for	ADP
cana-4323	48	21	distinguishing	distinguish	VERB
cana-4323	48	22	between	between	ADP
cana-4323	48	23	authentic	authentic	ADJ
cana-4323	48	24	images	image	NOUN
cana-4323	48	25	and	and	CCONJ
cana-4323	48	26	their	their	PRON
cana-4323	48	27	forgery	forgery	NOUN
cana-4323	48	28	counterparts	counterpart	NOUN
cana-4323	48	29	.	.	PUNCT
cana-4323	49	1	this	this	DET
cana-4323	49	2	technique	technique	NOUN
cana-4323	49	3	concentrates	concentrate	VERB
cana-4323	49	4	on	on	ADP
cana-4323	49	5	the	the	DET
cana-4323	49	6	features	feature	NOUN
cana-4323	49	7	at	at	ADP
cana-4323	49	8	node	node	NOUN
cana-4323	49	9	-	-	PUNCT
cana-4323	49	10	levels	level	NOUN
cana-4323	49	11	as	as	ADV
cana-4323	49	12	well	well	ADV
cana-4323	49	13	as	as	ADP
cana-4323	49	14	those	those	PRON
cana-4323	49	15	of	of	ADP
cana-4323	49	16	a	a	DET
cana-4323	49	17	graph	graph	NOUN
cana-4323	49	18	which	which	PRON
cana-4323	49	19	are	be	AUX
cana-4323	49	20	usually	usually	ADV
cana-4323	49	21	tampered	tamper	VERB
cana-4323	49	22	by	by	ADP
cana-4323	49	23	counterfeiters	counterfeiter	NOUN
cana-4323	49	24	during	during	ADP
cana-4323	49	25	the	the	DET
cana-4323	49	26	creation	creation	NOUN
cana-4323	49	27	of	of	ADP
cana-4323	49	28	fake	fake	ADJ
cana-4323	49	29	images	image	NOUN
cana-4323	49	30	.	.	PUNCT
cana-4323	50	1	this	this	DET
cana-4323	50	2	paper	paper	NOUN
cana-4323	50	3	aims	aim	VERB
cana-4323	50	4	at	at	ADP
cana-4323	50	5	presenting	present	VERB
cana-4323	50	6	the	the	DET
cana-4323	50	7	practical	practical	ADJ
cana-4323	50	8	steps	step	NOUN
cana-4323	50	9	that	that	PRON
cana-4323	50	10	are	be	AUX
cana-4323	50	11	taken	take	VERB
cana-4323	50	12	when	when	SCONJ
cana-4323	50	13	implementing	implement	VERB
cana-4323	50	14	structure	structure	NOUN
cana-4323	50	15	-	-	PUNCT
cana-4323	50	16	based	base	VERB
cana-4323	50	17	counterfeit	counterfeit	ADJ
cana-4323	50	18	medicine	medicine	NOUN
cana-4323	50	19	image	image	NOUN
cana-4323	50	20	detection	detection	NOUN
cana-4323	50	21	systems	system	NOUN
cana-4323	50	22	.	.	PUNCT
cana-4323	51	1	first	first	ADV
cana-4323	51	2	,	,	PUNCT
cana-4323	51	3	there	there	PRON
cana-4323	51	4	is	be	VERB
cana-4323	51	5	always	always	ADV
cana-4323	51	6	a	a	DET
cana-4323	51	7	preprocessing	preprocessing	NOUN
cana-4323	51	8	stage	stage	NOUN
cana-4323	51	9	that	that	PRON
cana-4323	51	10	involves	involve	VERB
cana-4323	51	11	constructing	construct	VERB
cana-4323	51	12	a	a	DET
cana-4323	51	13	graph	graph	NOUN
cana-4323	51	14	for	for	ADP
cana-4323	51	15	the	the	DET
cana-4323	51	16	input	input	NOUN
cana-4323	51	17	images	image	NOUN
cana-4323	51	18	,	,	PUNCT
cana-4323	51	19	normalization	normalization	NOUN
cana-4323	51	20	,	,	PUNCT
cana-4323	51	21	and	and	CCONJ
cana-4323	51	22	augmentation	augmentation	NOUN
cana-4323	51	23	to	to	PART
cana-4323	51	24	enhance	enhance	VERB
cana-4323	51	25	the	the	DET
cana-4323	51	26	model	model	NOUN
cana-4323	51	27	’s	’s	PART
cana-4323	51	28	resilience	resilience	NOUN
cana-4323	51	29	.	.	PUNCT
cana-4323	52	1	the	the	DET
cana-4323	52	2	processed	process	VERB
cana-4323	52	3	graphs	graph	NOUN
cana-4323	52	4	are	be	AUX
cana-4323	52	5	then	then	ADV
cana-4323	52	6	given	give	VERB
cana-4323	52	7	to	to	ADP
cana-4323	52	8	the	the	DET
cana-4323	52	9	gnn	gnn	NOUN
cana-4323	52	10	that	that	PRON
cana-4323	52	11	produces	produce	VERB
cana-4323	52	12	a	a	DET
cana-4323	52	13	prediction	prediction	NOUN
cana-4323	52	14	of	of	ADP
cana-4323	52	15	the	the	DET
cana-4323	52	16	probability	probability	NOUN
cana-4323	52	17	of	of	ADP
cana-4323	52	18	the	the	DET
cana-4323	52	19	image	image	NOUN
cana-4323	52	20	being	be	AUX
cana-4323	52	21	fake	fake	ADJ
cana-4323	52	22	.	.	PUNCT
cana-4323	53	1	thresholding	thresholde	VERB
cana-4323	53	2	and	and	CCONJ
cana-4323	53	3	probabilistic	probabilistic	ADJ
cana-4323	53	4	inference	inference	NOUN
cana-4323	53	5	can	can	AUX
cana-4323	53	6	be	be	AUX
cana-4323	53	7	applied	apply	VERB
cana-4323	53	8	to	to	PART
cana-4323	53	9	improve	improve	VERB
cana-4323	53	10	the	the	DET
cana-4323	53	11	results	result	NOUN
cana-4323	53	12	in	in	ADP
cana-4323	53	13	the	the	DET
cana-4323	53	14	post	post	ADJ
cana-4323	53	15	-	-	ADJ
cana-4323	53	16	processing	processing	ADJ
cana-4323	53	17	step	step	NOUN
cana-4323	53	18	.	.	PUNCT
cana-4323	54	1	the	the	DET
cana-4323	54	2	incorporation	incorporation	NOUN
cana-4323	54	3	of	of	ADP
cana-4323	54	4	gnns	gnns	NOUN
cana-4323	54	5	in	in	ADP
cana-4323	54	6	structure	structure	NOUN
cana-4323	54	7	-	-	PUNCT
cana-4323	54	8	based	base	VERB
cana-4323	54	9	image	image	NOUN
cana-4323	54	10	detection	detection	NOUN
cana-4323	54	11	presents	present	VERB
cana-4323	54	12	a	a	DET
cana-4323	54	13	solution	solution	NOUN
cana-4323	54	14	,	,	PUNCT
cana-4323	54	15	to	to	ADP
cana-4323	54	16	combatting	combat	VERB
cana-4323	54	17	the	the	DET
cana-4323	54	18	increasing	increase	VERB
cana-4323	54	19	issue	issue	NOUN
cana-4323	54	20	of	of	ADP
cana-4323	54	21	image	image	NOUN
cana-4323	54	22	manipulation	manipulation	NOUN
cana-4323	54	23	.	.	PUNCT
cana-4323	55	1	by	by	ADP
cana-4323	55	2	utilizing	utilize	VERB
cana-4323	55	3	gnns	gnns	ADJ
cana-4323	55	4	capabilities	capability	NOUN
cana-4323	55	5	to	to	PART
cana-4323	55	6	detect	detect	VERB
cana-4323	55	7	abnormalities	abnormality	NOUN
cana-4323	55	8	these	these	DET
cana-4323	55	9	systems	system	NOUN
cana-4323	55	10	can	can	AUX
cana-4323	55	11	achieve	achieve	VERB
cana-4323	55	12	high	high	ADJ
cana-4323	55	13	accuracy	accuracy	NOUN
cana-4323	55	14	and	and	CCONJ
cana-4323	55	15	adaptability	adaptability	NOUN
cana-4323	55	16	.	.	PUNCT
cana-4323	56	1	research	research	NOUN
cana-4323	56	2	,	,	PUNCT
cana-4323	56	3	in	in	ADP
cana-4323	56	4	learning	learning	NOUN
cana-4323	56	5	and	and	CCONJ
cana-4323	56	6	the	the	DET
cana-4323	56	7	use	use	NOUN
cana-4323	56	8	of	of	ADP
cana-4323	56	9	ai	ai	ADJ
cana-4323	56	10	methods	method	NOUN
cana-4323	56	11	are	be	AUX
cana-4323	56	12	improving	improve	VERB
cana-4323	56	13	counterfeit	counterfeit	ADJ
cana-4323	56	14	medicine	medicine	NOUN
cana-4323	56	15	image	image	NOUN
cana-4323	56	16	detection	detection	NOUN
cana-4323	56	17	methods	method	NOUN
cana-4323	56	18	making	make	VERB
cana-4323	56	19	them	they	PRON
cana-4323	56	20	more	more	ADV
cana-4323	56	21	effective	effective	ADJ
cana-4323	56	22	and	and	CCONJ
cana-4323	56	23	transparent	transparent	ADJ
cana-4323	56	24	.	.	PUNCT
cana-4323	57	1	the	the	DET
cana-4323	57	2	paper	paper	NOUN
cana-4323	57	3	further	far	ADV
cana-4323	57	4	followed	follow	VERB
cana-4323	57	5	as	as	ADP
cana-4323	57	6	:	:	PUNCT
cana-4323	57	7	the	the	DET
cana-4323	57	8	overview	overview	NOUN
cana-4323	57	9	of	of	ADP
cana-4323	57	10	chemical	chemical	ADJ
cana-4323	57	11	structure	structure	NOUN
cana-4323	57	12	based	base	VERB
cana-4323	57	13	counterfeit	counterfeit	ADJ
cana-4323	57	14	medicine	medicine	NOUN
cana-4323	57	15	prediction	prediction	NOUN
cana-4323	57	16	is	be	AUX
cana-4323	57	17	detailed	detail	VERB
cana-4323	57	18	in	in	ADP
cana-4323	57	19	section	section	NOUN
cana-4323	57	20	1	1	NUM
cana-4323	57	21	,	,	PUNCT
cana-4323	57	22	the	the	DET
cana-4323	57	23	related	related	ADJ
cana-4323	57	24	works	work	NOUN
cana-4323	57	25	with	with	ADP
cana-4323	57	26	comprehensive	comprehensive	ADJ
cana-4323	57	27	analysis	analysis	NOUN
cana-4323	57	28	is	be	AUX
cana-4323	57	29	depicted	depict	VERB
cana-4323	57	30	in	in	ADP
cana-4323	57	31	section	section	NOUN
cana-4323	57	32	2	2	NUM
cana-4323	57	33	,	,	PUNCT
cana-4323	57	34	proposed	propose	VERB
cana-4323	57	35	methodology	methodology	NOUN
cana-4323	57	36	on	on	ADP
cana-4323	57	37	canny	canny	ADJ
cana-4323	57	38	edge	edge	NOUN
cana-4323	57	39	detector	detector	NOUN
cana-4323	57	40	with	with	ADP
cana-4323	57	41	graph	graph	NOUN
cana-4323	57	42	neural	neural	ADJ
cana-4323	57	43	networks	network	NOUN
cana-4323	57	44	(	(	PUNCT
cana-4323	57	45	ced	ce	VERB
cana-4323	57	46	-	-	PUNCT
cana-4323	57	47	gnn	gnn	NOUN
cana-4323	57	48	)	)	PUNCT
cana-4323	57	49	illustrated	illustrate	VERB
cana-4323	57	50	in	in	ADP
cana-4323	57	51	section	section	NOUN
cana-4323	57	52	3	3	NUM
cana-4323	57	53	,	,	PUNCT
cana-4323	57	54	the	the	DET
cana-4323	57	55	outcome	outcome	NOUN
cana-4323	57	56	of	of	ADP
cana-4323	57	57	canny	canny	ADJ
cana-4323	57	58	edge	edge	NOUN
cana-4323	57	59	detector	detector	NOUN
cana-4323	57	60	with	with	ADP
cana-4323	57	61	graph	graph	NOUN
cana-4323	57	62	neural	neural	ADJ
cana-4323	57	63	networks	network	NOUN
cana-4323	57	64	(	(	PUNCT
cana-4323	57	65	cedgnn	cedgnn	NOUN
cana-4323	57	66	)	)	PUNCT
cana-4323	57	67	is	be	AUX
cana-4323	57	68	compared	compare	VERB
cana-4323	57	69	with	with	ADP
cana-4323	57	70	existing	exist	VERB
cana-4323	57	71	technique	technique	NOUN
cana-4323	57	72	and	and	CCONJ
cana-4323	57	73	illustrated	illustrate	VERB
cana-4323	57	74	in	in	ADP
cana-4323	57	75	section	section	NOUN
cana-4323	57	76	4	4	NUM
cana-4323	57	77	,	,	PUNCT
cana-4323	57	78	and	and	CCONJ
cana-4323	57	79	the	the	DET
cana-4323	57	80	research	research	NOUN
cana-4323	57	81	is	be	AUX
cana-4323	57	82	concluded	conclude	VERB
cana-4323	57	83	in	in	ADP
cana-4323	57	84	section	section	NOUN
cana-4323	57	85	5	5	NUM
cana-4323	57	86	.	.	PUNCT
cana-4323	57	87	related	relate	VERB
cana-4323	57	88	work	work	NOUN
cana-4323	57	89	some	some	DET
cana-4323	57	90	studies	study	NOUN
cana-4323	57	91	in	in	ADP
cana-4323	57	92	this	this	DET
cana-4323	57	93	field	field	NOUN
cana-4323	57	94	have	have	AUX
cana-4323	57	95	looked	look	VERB
cana-4323	57	96	at	at	ADP
cana-4323	57	97	methods	method	NOUN
cana-4323	57	98	of	of	ADP
cana-4323	57	99	detecting	detect	VERB
cana-4323	57	100	counterfeit	counterfeit	ADJ
cana-4323	57	101	medicine	medicine	NOUN
cana-4323	57	102	such	such	ADJ
cana-4323	57	103	as	as	ADP
cana-4323	57	104	nearinfrared	nearinfrared	ADJ
cana-4323	57	105	spectroscopy	spectroscopy	NOUN
cana-4323	57	106	with	with	ADP
cana-4323	57	107	siamese	siamese	ADJ
cana-4323	57	108	networks	network	NOUN
cana-4323	57	109	,	,	PUNCT
cana-4323	57	110	deep	deep	ADJ
cana-4323	57	111	learning	learning	NOUN
cana-4323	57	112	models	model	NOUN
cana-4323	57	113	for	for	ADP
cana-4323	57	114	image	image	NOUN
cana-4323	57	115	-	-	PUNCT
cana-4323	57	116	based	base	VERB
cana-4323	57	117	drug	drug	NOUN
cana-4323	57	118	identification	identification	NOUN
cana-4323	57	119	,	,	PUNCT
cana-4323	57	120	and	and	CCONJ
cana-4323	57	121	chemometric	chemometric	ADJ
cana-4323	57	122	methods	method	NOUN
cana-4323	57	123	with	with	ADP
cana-4323	57	124	chromatographic	chromatographic	ADJ
cana-4323	57	125	fingerprints	fingerprint	NOUN
cana-4323	57	126	.	.	PUNCT
cana-4323	58	1	some	some	DET
cana-4323	58	2	issues	issue	NOUN
cana-4323	58	3	arise	arise	VERB
cana-4323	58	4	in	in	ADP
cana-4323	58	5	dealing	deal	VERB
cana-4323	58	6	with	with	ADP
cana-4323	58	7	the	the	DET
cana-4323	58	8	new	new	ADJ
cana-4323	58	9	samples	sample	NOUN
cana-4323	58	10	,	,	PUNCT
cana-4323	58	11	the	the	DET
cana-4323	58	12	size	size	NOUN
cana-4323	58	13	of	of	ADP
cana-4323	58	14	the	the	DET
cana-4323	58	15	model	model	NOUN
cana-4323	58	16	,	,	PUNCT
cana-4323	58	17	and	and	CCONJ
cana-4323	58	18	the	the	DET
cana-4323	58	19	generalization	generalization	NOUN
cana-4323	58	20	of	of	ADP
cana-4323	58	21	the	the	DET
cana-4323	58	22	results	result	NOUN
cana-4323	58	23	with	with	ADP
cana-4323	58	24	different	different	ADJ
cana-4323	58	25	types	type	NOUN
cana-4323	58	26	of	of	ADP
cana-4323	58	27	drugs	drug	NOUN
cana-4323	58	28	and	and	CCONJ
cana-4323	58	29	diseases	disease	NOUN
cana-4323	58	30	.	.	PUNCT
cana-4323	59	1	the	the	DET
cana-4323	59	2	diversified	diversified	ADJ
cana-4323	59	3	studies	study	NOUN
cana-4323	59	4	of	of	ADP
cana-4323	59	5	existing	exist	VERB
cana-4323	59	6	techniques	technique	NOUN
cana-4323	59	7	are	be	AUX
cana-4323	59	8	given	give	VERB
cana-4323	59	9	in	in	ADP
cana-4323	59	10	table	table	NOUN
cana-4323	59	11	1	1	NUM
cana-4323	59	12	.	.	PUNCT
cana-4323	59	13	table	table	NOUN
cana-4323	59	14	1	1	NUM
cana-4323	59	15	.	.	PUNCT
cana-4323	59	16	comprehensive	comprehensive	ADJ
cana-4323	59	17	analysis	analysis	NOUN
cana-4323	59	18	of	of	ADP
cana-4323	59	19	related	related	ADJ
cana-4323	59	20	works	work	NOUN
cana-4323	59	21	referen	referen	PROPN
cana-4323	59	22	ce	ce	PROPN
cana-4323	59	23	author	author	PROPN
cana-4323	59	24	name	name	PROPN
cana-4323	59	25	and	and	CCONJ
cana-4323	59	26	year	year	NOUN
cana-4323	59	27	inference	inference	NOUN
cana-4323	59	28	methods	method	NOUN
cana-4323	59	29	used	use	VERB
cana-4323	59	30	significance	significance	NOUN
cana-4323	59	31	drawback	drawback	NOUN
cana-4323	59	32	research	research	NOUN
cana-4323	59	33	gap	gap	NOUN
cana-4323	59	34	communications	communication	NOUN
cana-4323	59	35	on	on	ADP
cana-4323	59	36	applied	apply	VERB
cana-4323	59	37	nonlinear	nonlinear	ADJ
cana-4323	59	38	analysis	analysis	NOUN
cana-4323	59	39	issn	issn	NOUN
cana-4323	59	40	:	:	PUNCT
cana-4323	59	41	1074	1074	NUM
cana-4323	59	42	-	-	PUNCT
cana-4323	59	43	133x	133x	NUM
cana-4323	59	44	vol	vol	NOUN
cana-4323	59	45	32	32	NUM
cana-4323	59	46	no	no	NOUN
cana-4323	59	47	.	.	NOUN
cana-4323	59	48	3	3	NUM
cana-4323	59	49	(	(	PUNCT
cana-4323	59	50	2025	2025	NUM
cana-4323	59	51	)	)	PUNCT
cana-4323	59	52	790	790	NUM
cana-4323	59	53	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	60	1	[	[	X
cana-4323	60	2	15	15	NUM
cana-4323	60	3	]	]	X
cana-4323	60	4	gayialis	gayialis	PROPN
cana-4323	60	5	et	et	PROPN
cana-4323	60	6	al	al	PROPN
cana-4323	60	7	.	.	PROPN
cana-4323	61	1	(	(	PUNCT
cana-4323	61	2	2022	2022	NUM
cana-4323	61	3	)	)	PUNCT
cana-4323	61	4	traditional	traditional	ADJ
cana-4323	61	5	traceability	traceability	NOUN
cana-4323	61	6	methods	method	NOUN
cana-4323	61	7	are	be	AUX
cana-4323	61	8	ineffective	ineffective	ADJ
cana-4323	61	9	against	against	ADP
cana-4323	61	10	modern	modern	ADJ
cana-4323	61	11	counterfeitin	counterfeitin	NOUN
cana-4323	61	12	g	g	ADP
cana-4323	61	13	structured	structure	VERB
cana-4323	61	14	literature	literature	PROPN
cana-4323	61	15	review	review	PROPN
cana-4323	61	16	,	,	PUNCT
cana-4323	61	17	classification	classification	NOUN
cana-4323	61	18	framework	framework	NOUN
cana-4323	61	19	identified	identify	VERB
cana-4323	61	20	trends	trend	NOUN
cana-4323	61	21	and	and	CCONJ
cana-4323	61	22	best	good	ADJ
cana-4323	61	23	practices	practice	NOUN
cana-4323	61	24	,	,	PUNCT
cana-4323	61	25	highlighted	highlight	VERB
cana-4323	61	26	blockchain	blockchain	NOUN
cana-4323	61	27	and	and	CCONJ
cana-4323	61	28	iot	iot	NOUN
cana-4323	61	29	as	as	ADP
cana-4323	61	30	promising	promising	ADJ
cana-4323	61	31	technologies	technology	NOUN
cana-4323	61	32	traditional	traditional	ADJ
cana-4323	61	33	methods	method	NOUN
cana-4323	61	34	are	be	AUX
cana-4323	61	35	easily	easily	ADV
cana-4323	61	36	falsified	falsify	VERB
cana-4323	61	37	need	need	NOUN
cana-4323	61	38	for	for	ADP
cana-4323	61	39	more	more	ADV
cana-4323	61	40	advanced	advanced	ADJ
cana-4323	61	41	and	and	CCONJ
cana-4323	61	42	secure	secure	ADJ
cana-4323	61	43	traceability	traceability	NOUN
cana-4323	61	44	solutions	solution	NOUN
cana-4323	61	45	[	[	X
cana-4323	61	46	16	16	NUM
cana-4323	61	47	]	]	X
cana-4323	61	48	an	an	DET
cana-4323	61	49	-	-	PUNCT
cana-4323	61	50	bing	bing	NOUN
cana-4323	61	51	et	et	NOUN
cana-4323	61	52	al	al	PROPN
cana-4323	61	53	.	.	PROPN
cana-4323	62	1	(	(	PUNCT
cana-4323	62	2	2020	2020	NUM
cana-4323	62	3	)	)	PUNCT
cana-4323	62	4	siamesenetwork	siamesenetwork	NOUN
cana-4323	62	5	with	with	ADP
cana-4323	62	6	nir	nir	ADJ
cana-4323	62	7	spectroscopy	spectroscopy	NOUN
cana-4323	62	8	effectively	effectively	ADV
cana-4323	62	9	identifies	identify	VERB
cana-4323	62	10	counterfeit	counterfeit	ADJ
cana-4323	62	11	drugs	drug	NOUN
cana-4323	62	12	near	near	ADP
cana-4323	62	13	-	-	PUNCT
cana-4323	62	14	infrared	infrared	ADJ
cana-4323	62	15	spectroscopy	spectroscopy	NOUN
cana-4323	62	16	,	,	PUNCT
cana-4323	62	17	siamesenetwork	siamesenetwork	NOUN
cana-4323	62	18	modeling	modeling	NOUN
cana-4323	62	19	,	,	PUNCT
cana-4323	62	20	1d	1d	NUM
cana-4323	62	21	-	-	PUNCT
cana-4323	62	22	cnn	cnn	PROPN
cana-4323	62	23	high	high	ADJ
cana-4323	62	24	accuracy	accuracy	NOUN
cana-4323	62	25	in	in	ADP
cana-4323	62	26	identifying	identify	VERB
cana-4323	62	27	counterfeit	counterfeit	ADJ
cana-4323	62	28	drugs	drug	NOUN
cana-4323	62	29	,	,	PUNCT
cana-4323	62	30	efficient	efficient	ADJ
cana-4323	62	31	even	even	ADV
cana-4323	62	32	with	with	ADP
cana-4323	62	33	limited	limited	ADJ
cana-4323	62	34	samples	sample	NOUN
cana-4323	62	35	not	not	PART
cana-4323	62	36	effective	effective	ADJ
cana-4323	62	37	for	for	ADP
cana-4323	62	38	unknown	unknown	ADJ
cana-4323	62	39	samples	sample	NOUN
cana-4323	62	40	beyond	beyond	ADP
cana-4323	62	41	the	the	DET
cana-4323	62	42	scope	scope	NOUN
cana-4323	62	43	improveme	improveme	NOUN
cana-4323	62	44	nt	not	PART
cana-4323	62	45	in	in	ADP
cana-4323	62	46	handling	handle	VERB
cana-4323	62	47	unknown	unknown	ADJ
cana-4323	62	48	and	and	CCONJ
cana-4323	62	49	unbalanced	unbalanced	ADJ
cana-4323	62	50	samples	sample	NOUN
cana-4323	62	51	[	[	X
cana-4323	62	52	17	17	NUM
cana-4323	62	53	]	]	PUNCT
cana-4323	62	54	ting	ting	NOUN
cana-4323	62	55	et	et	PROPN
cana-4323	62	56	al	al	PROPN
cana-4323	62	57	.	.	PROPN
cana-4323	63	1	(	(	PUNCT
cana-4323	63	2	2020	2020	NUM
cana-4323	63	3	)	)	PUNCT
cana-4323	63	4	deep	deep	ADJ
cana-4323	63	5	learningbased	learningbase	VERB
cana-4323	63	6	model	model	NOUN
cana-4323	63	7	for	for	ADP
cana-4323	63	8	drug	drug	NOUN
cana-4323	63	9	identification	identification	NOUN
cana-4323	63	10	is	be	AUX
cana-4323	63	11	highly	highly	ADV
cana-4323	63	12	accurate	accurate	ADJ
cana-4323	63	13	deep	deep	ADJ
cana-4323	63	14	learning	learning	NOUN
cana-4323	63	15	(	(	PUNCT
cana-4323	63	16	yolo	yolo	ADJ
cana-4323	63	17	)	)	PUNCT
cana-4323	63	18	,	,	PUNCT
cana-4323	63	19	image	image	NOUN
cana-4323	63	20	analysis	analysis	NOUN
cana-4323	63	21	high	high	ADJ
cana-4323	63	22	f1	f1	NOUN
cana-4323	63	23	score	score	NOUN
cana-4323	63	24	,	,	PUNCT
cana-4323	63	25	effective	effective	ADJ
cana-4323	63	26	in	in	ADP
cana-4323	63	27	preventing	prevent	VERB
cana-4323	63	28	lasa	lasa	PROPN
cana-4323	63	29	errors	error	NOUN
cana-4323	63	30	requires	require	VERB
cana-4323	63	31	high	high	ADJ
cana-4323	63	32	-	-	PUNCT
cana-4323	63	33	quality	quality	NOUN
cana-4323	63	34	images	image	NOUN
cana-4323	63	35	,	,	PUNCT
cana-4323	63	36	longer	long	ADV
cana-4323	63	37	training	train	VERB
cana-4323	63	38	times	time	NOUN
cana-4323	63	39	for	for	ADP
cana-4323	63	40	back	back	ADJ
cana-4323	63	41	-	-	PUNCT
cana-4323	63	42	side	side	NOUN
cana-4323	63	43	models	model	NOUN
cana-4323	63	44	further	far	ADV
cana-4323	63	45	improveme	improveme	ADJ
cana-4323	63	46	nt	not	PART
cana-4323	63	47	in	in	ADP
cana-4323	63	48	model	model	NOUN
cana-4323	63	49	efficiency	efficiency	NOUN
cana-4323	63	50	and	and	CCONJ
cana-4323	63	51	realtime	realtime	NOUN
cana-4323	63	52	integration	integration	NOUN
cana-4323	63	53	[	[	X
cana-4323	63	54	18	18	NUM
cana-4323	63	55	]	]	PUNCT
cana-4323	63	56	simonovs	simonovs	PROPN
cana-4323	63	57	ky	ky	PROPN
cana-4323	63	58	&	&	CCONJ
cana-4323	63	59	komodak	komodak	PROPN
cana-4323	63	60	is	be	AUX
cana-4323	63	61	(	(	PUNCT
cana-4323	63	62	2018	2018	NUM
cana-4323	63	63	)	)	PUNCT
cana-4323	63	64	graphvae	graphvae	NOUN
cana-4323	63	65	for	for	ADP
cana-4323	63	66	small	small	ADJ
cana-4323	63	67	graph	graph	NOUN
cana-4323	63	68	generation	generation	NOUN
cana-4323	63	69	offers	offer	VERB
cana-4323	63	70	potential	potential	NOUN
cana-4323	63	71	in	in	ADP
cana-4323	63	72	molecule	molecule	NOUN
cana-4323	63	73	generation	generation	NOUN
cana-4323	63	74	variational	variational	ADJ
cana-4323	63	75	autoencoder	autoencoder	NOUN
cana-4323	63	76	,	,	PUNCT
cana-4323	63	77	graph	graph	NOUN
cana-4323	63	78	generation	generation	NOUN
cana-4323	63	79	advances	advance	NOUN
cana-4323	63	80	generative	generative	ADJ
cana-4323	63	81	models	model	NOUN
cana-4323	63	82	for	for	ADP
cana-4323	63	83	graphs	graph	NOUN
cana-4323	63	84	,	,	PUNCT
cana-4323	63	85	potential	potential	NOUN
cana-4323	63	86	in	in	ADP
cana-4323	63	87	drug	drug	NOUN
cana-4323	63	88	discovery	discovery	NOUN
cana-4323	63	89	challenges	challenge	NOUN
cana-4323	63	90	in	in	ADP
cana-4323	63	91	scalability	scalability	NOUN
cana-4323	63	92	and	and	CCONJ
cana-4323	63	93	complexity	complexity	NOUN
cana-4323	63	94	of	of	ADP
cana-4323	63	95	generated	generate	VERB
cana-4323	63	96	graphs	graph	NOUN
cana-4323	63	97	enhancing	enhance	VERB
cana-4323	63	98	scalability	scalability	NOUN
cana-4323	63	99	and	and	CCONJ
cana-4323	63	100	application	application	NOUN
cana-4323	63	101	to	to	ADP
cana-4323	63	102	larger	large	ADJ
cana-4323	63	103	datasets	dataset	NOUN
cana-4323	63	104	[	[	X
cana-4323	63	105	19	19	NUM
cana-4323	63	106	]	]	PUNCT
cana-4323	63	107	kakio	kakio	PROPN
cana-4323	63	108	et	et	PROPN
cana-4323	63	109	al	al	PROPN
cana-4323	63	110	.	.	PROPN
cana-4323	64	1	(	(	PUNCT
cana-4323	64	2	2017	2017	NUM
cana-4323	64	3	)	)	PUNCT
cana-4323	64	4	combined	combine	VERB
cana-4323	64	5	handheld	handheld	NOUN
cana-4323	64	6	raman	raman	NOUN
cana-4323	64	7	spectroscopy	spectroscopy	NOUN
cana-4323	64	8	and	and	CCONJ
cana-4323	64	9	x	x	NOUN
cana-4323	64	10	-	-	NOUN
cana-4323	64	11	ray	ray	NOUN
cana-4323	64	12	ct	ct	PRON
cana-4323	64	13	effectively	effectively	ADV
cana-4323	64	14	discriminate	discriminate	VERB
cana-4323	64	15	falsified	falsified	ADJ
cana-4323	64	16	medicines	medicine	NOUN
cana-4323	64	17	handheld	handheld	ADJ
cana-4323	64	18	raman	raman	NOUN
cana-4323	64	19	spectroscopy	spectroscopy	NOUN
cana-4323	64	20	,	,	PUNCT
cana-4323	64	21	x	x	NOUN
cana-4323	64	22	-	-	NOUN
cana-4323	64	23	ray	ray	NOUN
cana-4323	64	24	ct	ct	PROPN
cana-4323	64	25	nondestructi	nondestructi	PROPN
cana-4323	64	26	ve	ve	PROPN
cana-4323	64	27	,	,	PUNCT
cana-4323	64	28	accurate	accurate	ADJ
cana-4323	64	29	discriminati	discriminati	NOUN
cana-4323	64	30	on	on	ADP
cana-4323	64	31	of	of	ADP
cana-4323	64	32	falsified	falsified	ADJ
cana-4323	64	33	medicines	medicine	NOUN
cana-4323	64	34	limited	limit	VERB
cana-4323	64	35	to	to	ADP
cana-4323	64	36	specific	specific	ADJ
cana-4323	64	37	types	type	NOUN
cana-4323	64	38	of	of	ADP
cana-4323	64	39	pharmaceuti	pharmaceuti	NOUN
cana-4323	64	40	cals	cal	VERB
cana-4323	64	41	broader	broad	ADJ
cana-4323	64	42	application	application	NOUN
cana-4323	64	43	across	across	ADP
cana-4323	64	44	diverse	diverse	ADJ
cana-4323	64	45	pharmaceuti	pharmaceuti	NOUN
cana-4323	64	46	cal	cal	VERB
cana-4323	64	47	products	product	NOUN
cana-4323	64	48	[	[	X
cana-4323	64	49	20	20	NUM
cana-4323	64	50	]	]	X
cana-4323	64	51	deconinc	deconinc	NOUN
cana-4323	64	52	k	k	PROPN
cana-4323	64	53	et	et	PROPN
cana-4323	64	54	al	al	PROPN
cana-4323	64	55	.	.	PROPN
cana-4323	65	1	(	(	PUNCT
cana-4323	65	2	2012	2012	NUM
cana-4323	65	3	)	)	PUNCT
cana-4323	65	4	chemometric	chemometric	PROPN
cana-4323	65	5	s	s	NOUN
cana-4323	66	1	and	and	CCONJ
cana-4323	66	2	chromatogra	chromatogra	VERB
cana-4323	66	3	phic	phic	ADJ
cana-4323	66	4	fingerprints	fingerprint	NOUN
cana-4323	66	5	chromatogra	chromatogra	VERB
cana-4323	66	6	phic	phic	ADJ
cana-4323	66	7	fingerprints	fingerprint	NOUN
cana-4323	66	8	,	,	PUNCT
cana-4323	66	9	chemometric	chemometric	ADJ
cana-4323	66	10	techniques	technique	NOUN
cana-4323	66	11	high	high	ADJ
cana-4323	66	12	correct	correct	ADJ
cana-4323	66	13	classificatio	classificatio	NOUN
cana-4323	66	14	n	n	NOUN
cana-4323	66	15	rates	rate	NOUN
cana-4323	66	16	for	for	ADP
cana-4323	66	17	genuine	genuine	ADJ
cana-4323	66	18	and	and	CCONJ
cana-4323	66	19	limited	limit	VERB
cana-4323	66	20	to	to	ADP
cana-4323	66	21	specific	specific	ADJ
cana-4323	66	22	drug	drug	NOUN
cana-4323	66	23	types	type	NOUN
cana-4323	66	24	,	,	PUNCT
cana-4323	66	25	requires	require	VERB
cana-4323	66	26	extensive	extensive	ADJ
cana-4323	66	27	expansion	expansion	NOUN
cana-4323	66	28	to	to	ADP
cana-4323	66	29	other	other	ADJ
cana-4323	66	30	drug	drug	NOUN
cana-4323	66	31	categories	category	NOUN
cana-4323	66	32	and	and	CCONJ
cana-4323	66	33	communications	communication	NOUN
cana-4323	66	34	on	on	ADP
cana-4323	66	35	applied	apply	VERB
cana-4323	66	36	nonlinear	nonlinear	ADJ
cana-4323	66	37	analysis	analysis	NOUN
cana-4323	66	38	issn	issn	NOUN
cana-4323	66	39	:	:	PUNCT
cana-4323	66	40	1074	1074	NUM
cana-4323	66	41	-	-	PUNCT
cana-4323	66	42	133x	133x	NUM
cana-4323	66	43	vol	vol	NOUN
cana-4323	66	44	32	32	NUM
cana-4323	66	45	no	no	NOUN
cana-4323	66	46	.	.	NOUN
cana-4323	66	47	3	3	NUM
cana-4323	66	48	(	(	PUNCT
cana-4323	66	49	2025	2025	NUM
cana-4323	66	50	)	)	PUNCT
cana-4323	66	51	791	791	NUM
cana-4323	66	52	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	66	53	are	be	AUX
cana-4323	66	54	effective	effective	ADJ
cana-4323	66	55	for	for	ADP
cana-4323	66	56	counterfeit	counterfeit	ADJ
cana-4323	66	57	medicine	medicine	NOUN
cana-4323	66	58	detection	detection	NOUN
cana-4323	66	59	counterfeit	counterfeit	ADJ
cana-4323	66	60	samples	sample	NOUN
cana-4323	66	61	sample	sample	NOUN
cana-4323	66	62	preparation	preparation	NOUN
cana-4323	66	63	simplified	simplify	VERB
cana-4323	66	64	sample	sample	NOUN
cana-4323	66	65	preparation	preparation	NOUN
cana-4323	66	66	the	the	DET
cana-4323	66	67	research	research	NOUN
cana-4323	66	68	gap	gap	NOUN
cana-4323	66	69	focused	focus	VERB
cana-4323	66	70	in	in	ADP
cana-4323	66	71	this	this	DET
cana-4323	66	72	article	article	NOUN
cana-4323	66	73	is	be	AUX
cana-4323	66	74	in	in	ADP
cana-4323	66	75	relation	relation	NOUN
cana-4323	66	76	to	to	ADP
cana-4323	66	77	several	several	ADJ
cana-4323	66	78	weaknesses	weakness	NOUN
cana-4323	66	79	observed	observe	VERB
cana-4323	66	80	in	in	ADP
cana-4323	66	81	earlier	early	ADJ
cana-4323	66	82	studies	study	NOUN
cana-4323	66	83	.	.	PUNCT
cana-4323	67	1	unknown	unknown	ADJ
cana-4323	67	2	and	and	CCONJ
cana-4323	67	3	unbalanced	unbalanced	ADJ
cana-4323	67	4	samples	sample	NOUN
cana-4323	67	5	are	be	AUX
cana-4323	67	6	also	also	ADV
cana-4323	67	7	well	well	ADV
cana-4323	67	8	handled	handle	VERB
cana-4323	67	9	by	by	ADP
cana-4323	67	10	gnns	gnn	NOUN
cana-4323	67	11	as	as	SCONJ
cana-4323	67	12	pointed	point	VERB
cana-4323	67	13	out	out	ADP
cana-4323	67	14	by	by	ADP
cana-4323	67	15	an	an	DET
cana-4323	67	16	-	-	PUNCT
cana-4323	67	17	bing	bing	NOUN
cana-4323	67	18	et	et	NOUN
cana-4323	67	19	al	al	PROPN
cana-4323	67	20	.	.	PROPN
cana-4323	68	1	(	(	PUNCT
cana-4323	68	2	2020	2020	NUM
cana-4323	68	3	)	)	PUNCT
cana-4323	69	1	[	[	X
cana-4323	69	2	16	16	NUM
cana-4323	69	3	]	]	PUNCT
cana-4323	69	4	.	.	PUNCT
cana-4323	70	1	this	this	DET
cana-4323	70	2	structure	structure	NOUN
cana-4323	70	3	-	-	PUNCT
cana-4323	70	4	based	base	VERB
cana-4323	70	5	approach	approach	NOUN
cana-4323	70	6	holds	hold	VERB
cana-4323	70	7	across	across	ADP
cana-4323	70	8	various	various	ADJ
cana-4323	70	9	drugs	drug	NOUN
cana-4323	70	10	,	,	PUNCT
cana-4323	70	11	minimizing	minimize	VERB
cana-4323	70	12	the	the	DET
cana-4323	70	13	vast	vast	ADJ
cana-4323	70	14	sample	sample	NOUN
cana-4323	70	15	preparation	preparation	NOUN
cana-4323	70	16	mentioned	mention	VERB
cana-4323	70	17	by	by	ADP
cana-4323	70	18	deconinck	deconinck	NOUN
cana-4323	70	19	et	et	PROPN
cana-4323	70	20	al	al	PROPN
cana-4323	70	21	.	.	PROPN
cana-4323	71	1	(	(	PUNCT
cana-4323	71	2	2012	2012	NUM
cana-4323	71	3	)	)	PUNCT
cana-4323	72	1	[	[	X
cana-4323	72	2	20	20	NUM
cana-4323	72	3	]	]	PUNCT
cana-4323	72	4	.	.	PUNCT
cana-4323	73	1	moreover	moreover	ADV
cana-4323	73	2	,	,	PUNCT
cana-4323	73	3	gnns	gnn	NOUN
cana-4323	73	4	solve	solve	VERB
cana-4323	73	5	the	the	DET
cana-4323	73	6	scalability	scalability	NOUN
cana-4323	73	7	and	and	CCONJ
cana-4323	73	8	complexity	complexity	NOUN
cana-4323	73	9	problems	problem	NOUN
cana-4323	73	10	in	in	ADP
cana-4323	73	11	the	the	DET
cana-4323	73	12	generation	generation	NOUN
cana-4323	73	13	of	of	ADP
cana-4323	73	14	graphs	graph	NOUN
cana-4323	73	15	,	,	PUNCT
cana-4323	73	16	as	as	SCONJ
cana-4323	73	17	mentioned	mention	VERB
cana-4323	73	18	by	by	ADP
cana-4323	73	19	simonovsky	simonovsky	PROPN
cana-4323	73	20	and	and	CCONJ
cana-4323	73	21	komodakis	komodakis	PROPN
cana-4323	73	22	(	(	PUNCT
cana-4323	73	23	2018	2018	NUM
cana-4323	73	24	)	)	PUNCT
cana-4323	74	1	[	[	X
cana-4323	74	2	18	18	NUM
cana-4323	74	3	]	]	X
cana-4323	74	4	,	,	PUNCT
cana-4323	74	5	as	as	ADV
cana-4323	74	6	well	well	ADV
cana-4323	74	7	as	as	ADP
cana-4323	74	8	the	the	DET
cana-4323	74	9	versatility	versatility	NOUN
cana-4323	74	10	allows	allow	VERB
cana-4323	74	11	for	for	ADP
cana-4323	74	12	the	the	DET
cana-4323	74	13	use	use	NOUN
cana-4323	74	14	of	of	ADP
cana-4323	74	15	the	the	DET
cana-4323	74	16	model	model	NOUN
cana-4323	74	17	in	in	ADP
cana-4323	74	18	different	different	ADJ
cana-4323	74	19	pharmaceuticals	pharmaceutical	NOUN
cana-4323	74	20	,	,	PUNCT
cana-4323	74	21	which	which	PRON
cana-4323	74	22	responds	respond	VERB
cana-4323	74	23	to	to	ADP
cana-4323	74	24	the	the	DET
cana-4323	74	25	broader	broad	ADJ
cana-4323	74	26	application	application	NOUN
cana-4323	74	27	needs	need	NOUN
cana-4323	74	28	discussed	discuss	VERB
cana-4323	74	29	by	by	ADP
cana-4323	74	30	kakio	kakio	PROPN
cana-4323	74	31	et	et	PROPN
cana-4323	74	32	al	al	PROPN
cana-4323	74	33	.	.	PROPN
cana-4323	74	34	(	(	PUNCT
cana-4323	74	35	2017	2017	NUM
cana-4323	74	36	)	)	PUNCT
cana-4323	75	1	[	[	X
cana-4323	75	2	19	19	NUM
cana-4323	75	3	]	]	PUNCT
cana-4323	75	4	.	.	PUNCT
cana-4323	76	1	proposed	propose	VERB
cana-4323	76	2	methodologya	methodologya	PROPN
cana-4323	76	3	structure	structure	NOUN
cana-4323	76	4	based	base	VERB
cana-4323	76	5	deep	deep	ADJ
cana-4323	76	6	learning	learning	NOUN
cana-4323	76	7	technique	technique	NOUN
cana-4323	76	8	this	this	DET
cana-4323	76	9	research	research	NOUN
cana-4323	76	10	framework	framework	NOUN
cana-4323	76	11	employs	employ	VERB
cana-4323	76	12	gnns	gnn	NOUN
cana-4323	76	13	to	to	PART
cana-4323	76	14	classify	classify	VERB
cana-4323	76	15	and	and	CCONJ
cana-4323	76	16	estimate	estimate	VERB
cana-4323	76	17	the	the	DET
cana-4323	76	18	fake	fake	ADJ
cana-4323	76	19	drugs	drug	NOUN
cana-4323	76	20	depending	depend	VERB
cana-4323	76	21	on	on	ADP
cana-4323	76	22	the	the	DET
cana-4323	76	23	structural	structural	ADJ
cana-4323	76	24	features	feature	NOUN
cana-4323	76	25	of	of	ADP
cana-4323	76	26	chemical	chemical	NOUN
cana-4323	76	27	compounds	compound	NOUN
cana-4323	76	28	.	.	PUNCT
cana-4323	77	1	the	the	DET
cana-4323	77	2	steps	step	NOUN
cana-4323	77	3	comprise	comprise	VERB
cana-4323	77	4	data	datum	NOUN
cana-4323	77	5	collection	collection	NOUN
cana-4323	77	6	whereby	whereby	SCONJ
cana-4323	77	7	a	a	DET
cana-4323	77	8	dataset	dataset	NOUN
cana-4323	77	9	of	of	ADP
cana-4323	77	10	the	the	DET
cana-4323	77	11	chemical	chemical	NOUN
cana-4323	77	12	compounds	compound	NOUN
cana-4323	77	13	,	,	PUNCT
cana-4323	77	14	both	both	CCONJ
cana-4323	77	15	real	real	ADJ
cana-4323	77	16	and	and	CCONJ
cana-4323	77	17	counterfeit	counterfeit	ADJ
cana-4323	77	18	,	,	PUNCT
cana-4323	77	19	is	be	AUX
cana-4323	77	20	compiled	compile	VERB
cana-4323	77	21	.	.	PUNCT
cana-4323	78	1	they	they	PRON
cana-4323	78	2	are	be	AUX
cana-4323	78	3	depicted	depict	VERB
cana-4323	78	4	in	in	ADP
cana-4323	78	5	structures	structure	NOUN
cana-4323	78	6	including	include	VERB
cana-4323	78	7	molecular	molecular	ADJ
cana-4323	78	8	graphs	graph	NOUN
cana-4323	78	9	for	for	ADP
cana-4323	78	10	each	each	DET
cana-4323	78	11	compound	compound	NOUN
cana-4323	78	12	of	of	ADP
cana-4323	78	13	the	the	DET
cana-4323	78	14	compounds	compound	NOUN
cana-4323	78	15	list	list	NOUN
cana-4323	78	16	.	.	PUNCT
cana-4323	79	1	the	the	DET
cana-4323	79	2	proposed	propose	VERB
cana-4323	79	3	framework	framework	NOUN
cana-4323	79	4	involves	involve	VERB
cana-4323	79	5	the	the	DET
cana-4323	79	6	use	use	NOUN
cana-4323	79	7	of	of	ADP
cana-4323	79	8	the	the	DET
cana-4323	79	9	canny	canny	ADJ
cana-4323	79	10	edge	edge	NOUN
cana-4323	79	11	detector	detector	NOUN
cana-4323	79	12	to	to	PART
cana-4323	79	13	enhance	enhance	VERB
cana-4323	79	14	the	the	DET
cana-4323	79	15	structural	structural	ADJ
cana-4323	79	16	parts	part	NOUN
cana-4323	79	17	,	,	PUNCT
cana-4323	79	18	morphological	morphological	ADJ
cana-4323	79	19	processes	process	NOUN
cana-4323	79	20	such	such	ADJ
cana-4323	79	21	as	as	ADP
cana-4323	79	22	dilation	dilation	NOUN
cana-4323	79	23	,	,	PUNCT
cana-4323	79	24	and	and	CCONJ
cana-4323	79	25	erosion	erosion	NOUN
cana-4323	79	26	to	to	PART
cana-4323	79	27	enhance	enhance	VERB
cana-4323	79	28	and	and	CCONJ
cana-4323	79	29	to	to	PART
cana-4323	79	30	define	define	VERB
cana-4323	79	31	these	these	DET
cana-4323	79	32	parts	part	NOUN
cana-4323	79	33	.	.	PUNCT
cana-4323	80	1	the	the	DET
cana-4323	80	2	processed	process	VERB
cana-4323	80	3	data	data	NOUN
cana-4323	80	4	is	be	AUX
cana-4323	80	5	then	then	ADV
cana-4323	80	6	converted	convert	VERB
cana-4323	80	7	into	into	ADP
cana-4323	80	8	graph	graph	NOUN
cana-4323	80	9	representations	representation	NOUN
cana-4323	80	10	;	;	PUNCT
cana-4323	80	11	nodes	node	NOUN
cana-4323	80	12	are	be	AUX
cana-4323	80	13	atoms	atom	NOUN
cana-4323	80	14	and	and	CCONJ
cana-4323	80	15	edges	edge	NOUN
cana-4323	80	16	are	be	AUX
cana-4323	80	17	bonds	bond	NOUN
cana-4323	80	18	,	,	PUNCT
cana-4323	80	19	the	the	DET
cana-4323	80	20	graph	graph	NOUN
cana-4323	80	21	is	be	AUX
cana-4323	80	22	then	then	ADV
cana-4323	80	23	passed	pass	VERB
cana-4323	80	24	through	through	ADP
cana-4323	80	25	a	a	DET
cana-4323	80	26	graph	graph	NOUN
cana-4323	80	27	neural	neural	ADJ
cana-4323	80	28	network	network	NOUN
cana-4323	80	29	(	(	PUNCT
cana-4323	80	30	gnn	gnn	PROPN
cana-4323	80	31	)	)	PUNCT
cana-4323	80	32	for	for	ADP
cana-4323	80	33	classification	classification	NOUN
cana-4323	80	34	.	.	PUNCT
cana-4323	81	1	the	the	DET
cana-4323	81	2	overall	overall	ADJ
cana-4323	81	3	research	research	NOUN
cana-4323	81	4	work	work	NOUN
cana-4323	81	5	is	be	AUX
cana-4323	81	6	given	give	VERB
cana-4323	81	7	in	in	ADP
cana-4323	81	8	figure	figure	NOUN
cana-4323	81	9	1	1	NUM
cana-4323	81	10	and	and	CCONJ
cana-4323	81	11	the	the	DET
cana-4323	81	12	original	original	ADJ
cana-4323	81	13	famotidine	famotidine	NOUN
cana-4323	81	14	structure	structure	NOUN
cana-4323	81	15	is	be	AUX
cana-4323	81	16	diverse	diverse	ADJ
cana-4323	81	17	angle	angle	NOUN
cana-4323	81	18	as	as	ADV
cana-4323	81	19	well	well	ADV
cana-4323	81	20	as	as	ADP
cana-4323	81	21	three	three	NUM
cana-4323	81	22	-	-	PUNCT
cana-4323	81	23	dimensional	dimensional	ADJ
cana-4323	81	24	view	view	NOUN
cana-4323	81	25	is	be	AUX
cana-4323	81	26	given	give	VERB
cana-4323	81	27	as	as	ADP
cana-4323	81	28	input	input	NOUN
cana-4323	81	29	.	.	PUNCT
cana-4323	82	1	figure	figure	NOUN
cana-4323	82	2	1	1	NUM
cana-4323	82	3	.	.	PUNCT
cana-4323	82	4	methodology	methodology	NOUN
cana-4323	82	5	of	of	ADP
cana-4323	82	6	ced	ce	VERB
cana-4323	82	7	-	-	PUNCT
cana-4323	82	8	gnn	gnn	NOUN
cana-4323	82	9	edge	edge	NOUN
cana-4323	82	10	detection	detection	NOUN
cana-4323	82	11	edge	edge	NOUN
cana-4323	82	12	detection	detection	NOUN
cana-4323	82	13	is	be	AUX
cana-4323	82	14	performed	perform	VERB
cana-4323	82	15	by	by	ADP
cana-4323	82	16	applying	apply	VERB
cana-4323	82	17	gaussian	gaussian	NOUN
cana-4323	82	18	smoothing	smoothing	NOUN
cana-4323	82	19	to	to	PART
cana-4323	82	20	filter	filter	VERB
cana-4323	82	21	out	out	ADP
cana-4323	82	22	noise	noise	NOUN
cana-4323	82	23	,	,	PUNCT
cana-4323	82	24	and	and	CCONJ
cana-4323	82	25	then	then	ADV
cana-4323	82	26	sobel	sobel	PROPN
cana-4323	82	27	operators	operators	PROPN
cana-4323	82	28	to	to	PART
cana-4323	82	29	determine	determine	VERB
cana-4323	82	30	strength	strength	NOUN
cana-4323	82	31	and	and	CCONJ
cana-4323	82	32	orientation	orientation	NOUN
cana-4323	82	33	of	of	ADP
cana-4323	82	34	the	the	DET
cana-4323	82	35	edges	edge	NOUN
cana-4323	82	36	.	.	PUNCT
cana-4323	83	1	non	non	ADJ
cana-4323	83	2	-	-	ADJ
cana-4323	83	3	maximum	maximum	ADJ
cana-4323	83	4	suppression	suppression	NOUN
cana-4323	83	5	enhances	enhance	VERB
cana-4323	83	6	the	the	DET
cana-4323	83	7	edges	edge	NOUN
cana-4323	83	8	by	by	ADP
cana-4323	83	9	eliminating	eliminate	VERB
cana-4323	83	10	non	non	ADJ
cana-4323	83	11	-	-	ADJ
cana-4323	83	12	maximum	maximum	ADJ
cana-4323	83	13	pixels	pixel	NOUN
cana-4323	83	14	while	while	SCONJ
cana-4323	83	15	hysteresis	hysteresis	NOUN
cana-4323	83	16	edge	edge	NOUN
cana-4323	83	17	tracking	track	VERB
cana-4323	83	18	utilizes	utilize	VERB
cana-4323	83	19	high	high	ADJ
cana-4323	83	20	and	and	CCONJ
cana-4323	83	21	low	low	ADJ
cana-4323	83	22	thresholds	threshold	NOUN
cana-4323	83	23	to	to	PART
cana-4323	83	24	confirm	confirm	VERB
cana-4323	83	25	the	the	DET
cana-4323	83	26	edges	edge	NOUN
cana-4323	83	27	’	'	PUNCT
cana-4323	83	28	identification	identification	NOUN
cana-4323	83	29	.	.	PUNCT
cana-4323	84	1	communications	communication	NOUN
cana-4323	84	2	on	on	ADP
cana-4323	84	3	applied	apply	VERB
cana-4323	84	4	nonlinear	nonlinear	ADJ
cana-4323	84	5	analysis	analysis	NOUN
cana-4323	84	6	issn	issn	NOUN
cana-4323	84	7	:	:	PUNCT
cana-4323	84	8	1074	1074	NUM
cana-4323	84	9	-	-	PUNCT
cana-4323	84	10	133x	133x	NUM
cana-4323	84	11	vol	vol	NOUN
cana-4323	84	12	32	32	NUM
cana-4323	84	13	no	no	NOUN
cana-4323	84	14	.	.	NOUN
cana-4323	84	15	3	3	NUM
cana-4323	84	16	(	(	PUNCT
cana-4323	84	17	2025	2025	NUM
cana-4323	84	18	)	)	PUNCT
cana-4323	84	19	792	792	NUM
cana-4323	84	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	84	21	noise	noise	NOUN
cana-4323	84	22	reduction	reduction	NOUN
cana-4323	84	23	the	the	DET
cana-4323	84	24	gaussian	gaussian	ADJ
cana-4323	84	25	filter	filter	NOUN
cana-4323	84	26	is	be	AUX
cana-4323	84	27	applied	apply	VERB
cana-4323	84	28	to	to	PART
cana-4323	84	29	smooth	smooth	VERB
cana-4323	84	30	the	the	DET
cana-4323	84	31	image	image	NOUN
cana-4323	84	32	and	and	CCONJ
cana-4323	84	33	minimise	minimise	VERB
cana-4323	84	34	the	the	DET
cana-4323	84	35	noise	noise	NOUN
cana-4323	84	36	.	.	PUNCT
cana-4323	85	1	the	the	DET
cana-4323	85	2	gaussian	gaussian	ADJ
cana-4323	85	3	filter	filter	NOUN
cana-4323	85	4	is	be	AUX
cana-4323	85	5	determined	determine	VERB
cana-4323	85	6	as	as	ADP
cana-4323	85	7	:	:	PUNCT
cana-4323	85	8	𝐺(𝑥	𝐺(𝑥	NUM
cana-4323	85	9	,	,	PUNCT
cana-4323	85	10	𝑦	𝑦	NOUN
cana-4323	85	11	)	)	PUNCT
cana-4323	85	12	=	=	SYM
cana-4323	85	13	1	1	NUM
cana-4323	85	14	2𝜋𝜎2	2𝜋𝜎2	NUM
cana-4323	85	15	𝑒	𝑒	PRON
cana-4323	85	16	−	−	PROPN
cana-4323	85	17	𝑥2+𝑦2	𝑥2+𝑦2	PROPN
cana-4323	85	18	2𝜎2	2𝜎2	NUM
cana-4323	85	19	---------(1	---------(1	CCONJ
cana-4323	85	20	)	)	PUNCT
cana-4323	85	21	where	where	SCONJ
cana-4323	85	22	σ	σ	PROPN
cana-4323	85	23	is	be	AUX
cana-4323	85	24	the	the	DET
cana-4323	85	25	standard	standard	ADJ
cana-4323	85	26	deviation	deviation	NOUN
cana-4323	85	27	of	of	ADP
cana-4323	85	28	the	the	DET
cana-4323	85	29	gaussian	gaussian	ADJ
cana-4323	85	30	distribution	distribution	NOUN
cana-4323	85	31	,	,	PUNCT
cana-4323	85	32	and	and	CCONJ
cana-4323	85	33	x	x	X
cana-4323	85	34	and	and	CCONJ
cana-4323	85	35	y	y	PROPN
cana-4323	85	36	are	be	AUX
cana-4323	85	37	the	the	DET
cana-4323	85	38	coordinates	coordinate	NOUN
cana-4323	85	39	of	of	ADP
cana-4323	85	40	the	the	DET
cana-4323	85	41	pixel	pixel	NOUN
cana-4323	85	42	in	in	ADP
cana-4323	85	43	the	the	DET
cana-4323	85	44	image	image	NOUN
cana-4323	85	45	.	.	PUNCT
cana-4323	86	1	the	the	DET
cana-4323	86	2	smoothed	smooth	VERB
cana-4323	86	3	image	image	NOUN
cana-4323	86	4	is	be	AUX
cana-4323	86	5	is	be	AUX
cana-4323	86	6	acquired	acquire	VERB
cana-4323	86	7	by	by	ADP
cana-4323	86	8	convolving	convolve	VERB
cana-4323	86	9	the	the	DET
cana-4323	86	10	original	original	ADJ
cana-4323	86	11	image	image	NOUN
cana-4323	86	12	i	i	PRON
cana-4323	86	13	with	with	ADP
cana-4323	86	14	the	the	DET
cana-4323	86	15	gaussian	gaussian	ADJ
cana-4323	86	16	filter	filter	NOUN
cana-4323	86	17	g	g	NOUN
cana-4323	86	18	:	:	PUNCT
cana-4323	87	1	𝐼𝑠	𝐼𝑠	PROPN
cana-4323	87	2	=	=	PUNCT
cana-4323	88	1	𝐼	𝐼	ADP
cana-4323	88	2	×	×	NOUN
cana-4323	88	3	𝐺---------(2	𝐺---------(2	NOUN
cana-4323	88	4	)	)	PUNCT
cana-4323	88	5	gradient	gradient	ADJ
cana-4323	88	6	calculation	calculation	NOUN
cana-4323	88	7	compute	compute	VERB
cana-4323	88	8	the	the	DET
cana-4323	88	9	intensity	intensity	NOUN
cana-4323	88	10	gradient	gradient	NOUN
cana-4323	88	11	of	of	ADP
cana-4323	88	12	the	the	DET
cana-4323	88	13	smoothed	smooth	VERB
cana-4323	88	14	image	image	NOUN
cana-4323	88	15	to	to	PART
cana-4323	88	16	identify	identify	VERB
cana-4323	88	17	edges	edge	NOUN
cana-4323	88	18	.	.	PUNCT
cana-4323	89	1	the	the	DET
cana-4323	89	2	gradients	gradient	NOUN
cana-4323	89	3	in	in	ADP
cana-4323	89	4	the	the	DET
cana-4323	89	5	x	x	NOUN
cana-4323	89	6	and	and	CCONJ
cana-4323	89	7	y	y	PROPN
cana-4323	89	8	directions	direction	NOUN
cana-4323	89	9	(	(	PUNCT
cana-4323	89	10	gx	gx	PROPN
cana-4323	89	11	and	and	CCONJ
cana-4323	89	12	gy	gy	PROPN
cana-4323	89	13	)	)	PUNCT
cana-4323	89	14	are	be	AUX
cana-4323	89	15	calculated	calculate	VERB
cana-4323	89	16	using	use	VERB
cana-4323	89	17	sobel	sobel	NOUN
cana-4323	89	18	operators	operator	NOUN
cana-4323	89	19	:	:	PUNCT
cana-4323	89	20	𝐺𝑥	𝐺𝑥	PROPN
cana-4323	89	21	=	=	PUNCT
cana-4323	89	22	[	[	PUNCT
cana-4323	89	23	−1	−1	NOUN
cana-4323	89	24	0	0	NUM
cana-4323	89	25	1	1	NUM
cana-4323	89	26	−2	−2	NOUN
cana-4323	89	27	0	0	NUM
cana-4323	89	28	2	2	NUM
cana-4323	89	29	−1	−1	NOUN
cana-4323	89	30	0	0	NUM
cana-4323	89	31	1	1	NUM
cana-4323	89	32	]	]	PUNCT
cana-4323	89	33	×	×	PROPN
cana-4323	89	34	𝐼𝑠---------(3	𝐼𝑠---------(3	NOUN
cana-4323	89	35	)	)	PUNCT
cana-4323	90	1	𝐺𝑦	𝐺𝑦	ADV
cana-4323	90	2	=	=	PUNCT
cana-4323	91	1	[	[	PUNCT
cana-4323	91	2	−1	−1	NOUN
cana-4323	91	3	−2	−2	NOUN
cana-4323	91	4	−1	−1	NOUN
cana-4323	91	5	0	0	NUM
cana-4323	91	6	0	0	NUM
cana-4323	91	7	0	0	NUM
cana-4323	91	8	1	1	NUM
cana-4323	91	9	2	2	NUM
cana-4323	91	10	1	1	NUM
cana-4323	91	11	]	]	PUNCT
cana-4323	91	12	×	×	NOUN
cana-4323	91	13	𝐼𝑠---------(4	𝐼𝑠---------(4	ADV
cana-4323	91	14	)	)	PUNCT
cana-4323	91	15	the	the	DET
cana-4323	91	16	gradient	gradient	ADJ
cana-4323	91	17	magnitude	magnitude	NOUN
cana-4323	91	18	g	g	NOUN
cana-4323	91	19	and	and	CCONJ
cana-4323	91	20	direction	direction	NOUN
cana-4323	91	21	θ	θ	PROPN
cana-4323	91	22	are	be	AUX
cana-4323	91	23	computed	compute	VERB
cana-4323	91	24	as	as	ADP
cana-4323	91	25	:	:	PUNCT
cana-4323	91	26	𝐺	𝐺	NOUN
cana-4323	91	27	=	=	SYM
cana-4323	91	28	√𝐺𝑥	√𝐺𝑥	PROPN
cana-4323	91	29	2	2	NUM
cana-4323	91	30	+	+	CCONJ
cana-4323	91	31	𝐺𝑦	𝐺𝑦	PROPN
cana-4323	91	32	2	2	NUM
cana-4323	91	33	-	-	PUNCT
cana-4323	91	34	--------(5	--------(5	NOUN
cana-4323	91	35	)	)	PUNCT
cana-4323	91	36	𝜃	𝜃	NOUN
cana-4323	92	1	=	=	PUNCT
cana-4323	92	2	𝑡𝑎𝑛−1	𝑡𝑎𝑛−1	PROPN
cana-4323	92	3	(	(	PUNCT
cana-4323	92	4	𝐺𝑦	𝐺𝑦	NOUN
cana-4323	92	5	𝐺𝑥	𝐺𝑥	PROPN
cana-4323	92	6	)	)	PUNCT
cana-4323	92	7	---------(6	---------(6	X
cana-4323	92	8	)	)	PUNCT
cana-4323	92	9	non	non	ADJ
cana-4323	92	10	-	-	ADJ
cana-4323	92	11	maximum	maximum	ADJ
cana-4323	92	12	suppression	suppression	NOUN
cana-4323	92	13	suppress	suppress	ADJ
cana-4323	92	14	non	non	ADJ
cana-4323	92	15	-	-	ADJ
cana-4323	92	16	maximum	maximum	ADJ
cana-4323	92	17	edges	edge	NOUN
cana-4323	92	18	to	to	PART
cana-4323	92	19	thin	thin	VERB
cana-4323	92	20	out	out	ADP
cana-4323	92	21	the	the	DET
cana-4323	92	22	edges	edge	NOUN
cana-4323	92	23	.	.	PUNCT
cana-4323	93	1	for	for	ADP
cana-4323	93	2	each	each	DET
cana-4323	93	3	pixel	pixel	NOUN
cana-4323	93	4	,	,	PUNCT
cana-4323	93	5	compare	compare	VERB
cana-4323	93	6	the	the	DET
cana-4323	93	7	gradient	gradient	ADJ
cana-4323	93	8	magnitude	magnitude	NOUN
cana-4323	93	9	to	to	ADP
cana-4323	93	10	its	its	PRON
cana-4323	93	11	neighbors	neighbor	NOUN
cana-4323	93	12	in	in	ADP
cana-4323	93	13	the	the	DET
cana-4323	93	14	direction	direction	NOUN
cana-4323	93	15	of	of	ADP
cana-4323	93	16	the	the	DET
cana-4323	93	17	gradient	gradient	NOUN
cana-4323	93	18	:	:	PUNCT
cana-4323	93	19	𝑁𝑀𝑆(𝑥	𝑁𝑀𝑆(𝑥	NUM
cana-4323	93	20	,	,	PUNCT
cana-4323	93	21	𝑦	𝑦	NOUN
cana-4323	93	22	)	)	PUNCT
cana-4323	93	23	=	=	SYM
cana-4323	93	24	{	{	PUNCT
cana-4323	93	25	𝐺(𝑥	𝐺(𝑥	NOUN
cana-4323	93	26	,	,	PUNCT
cana-4323	93	27	𝑦	𝑦	NOUN
cana-4323	93	28	)	)	PUNCT
cana-4323	93	29	𝑖𝑓	𝑖𝑓	ADP
cana-4323	93	30	𝐺(𝑥	𝐺(𝑥	NOUN
cana-4323	93	31	,	,	PUNCT
cana-4323	93	32	𝑦)𝑖𝑠	𝑦)𝑖𝑠	PROPN
cana-4323	93	33	𝑎	𝑎	DET
cana-4323	93	34	𝑙𝑜𝑐𝑎𝑙	𝑙𝑜𝑐𝑎𝑙	ADJ
cana-4323	93	35	𝑚𝑎𝑥𝑖𝑚𝑢𝑚	𝑚𝑎𝑥𝑖𝑚𝑢𝑚	ADJ
cana-4323	93	36	𝑎𝑙𝑜𝑛𝑔	𝑎𝑙𝑜𝑛𝑔	NOUN
cana-4323	93	37	𝜃(𝑥	𝜃(𝑥	NOUN
cana-4323	93	38	,	,	PUNCT
cana-4323	93	39	𝑦	𝑦	NOUN
cana-4323	93	40	)	)	PUNCT
cana-4323	93	41	0	0	NUM
cana-4323	93	42	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	NOUN
cana-4323	93	43	---------(7	---------(7	NOUN
cana-4323	93	44	)	)	PUNCT
cana-4323	93	45	edge	edge	NOUN
cana-4323	93	46	tracking	tracking	NOUN
cana-4323	93	47	by	by	ADP
cana-4323	93	48	hysteresis	hysteresis	NOUN
cana-4323	93	49	identify	identify	VERB
cana-4323	93	50	final	final	ADJ
cana-4323	93	51	edges	edge	NOUN
cana-4323	93	52	using	use	VERB
cana-4323	93	53	two	two	NUM
cana-4323	93	54	thresholds	threshold	NOUN
cana-4323	93	55	,	,	PUNCT
cana-4323	93	56	tlow	tlow	NOUN
cana-4323	93	57	and	and	CCONJ
cana-4323	93	58	thigh	thigh	NOUN
cana-4323	93	59	:	:	PUNCT
cana-4323	93	60	𝐸((𝑥	𝐸((𝑥	PROPN
cana-4323	93	61	,	,	PUNCT
cana-4323	93	62	𝑦	𝑦	NOUN
cana-4323	93	63	)	)	PUNCT
cana-4323	94	1	=	=	SYM
cana-4323	94	2	{	{	PUNCT
cana-4323	94	3	1	1	NUM
cana-4323	94	4	𝑖𝑓	𝑖𝑓	NUM
cana-4323	94	5	𝑁𝑀𝑆(𝑥	𝑁𝑀𝑆(𝑥	NUM
cana-4323	94	6	,	,	PUNCT
cana-4323	94	7	𝑦	𝑦	NOUN
cana-4323	94	8	)	)	PUNCT
cana-4323	94	9	>	>	X
cana-4323	95	1	𝑇ℎ𝑖𝑔ℎ	𝑇ℎ𝑖𝑔ℎ	PROPN
cana-4323	95	2	0	0	NUM
cana-4323	95	3	𝑖𝑓	𝑖𝑓	CCONJ
cana-4323	95	4	𝑁𝑀𝑆(𝑥	𝑁𝑀𝑆(𝑥	NUM
cana-4323	95	5	,	,	PUNCT
cana-4323	95	6	𝑦	𝑦	NOUN
cana-4323	95	7	)	)	PUNCT
cana-4323	95	8	<	<	X
cana-4323	96	1	𝑇𝑙𝑜𝑤	𝑇𝑙𝑜𝑤	PROPN
cana-4323	96	2	𝑐𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑	𝑐𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑	ADJ
cana-4323	96	3	𝑡𝑜	𝑡𝑜	NOUN
cana-4323	96	4	𝑎	𝑎	DET
cana-4323	96	5	𝑠𝑡𝑟𝑜𝑛𝑔	𝑠𝑡𝑟𝑜𝑛𝑔	ADJ
cana-4323	96	6	𝑒𝑑𝑔𝑒	𝑒𝑑𝑔𝑒	NOUN
cana-4323	96	7	𝑖𝑓	𝑖𝑓	PUNCT
cana-4323	97	1	𝑇𝑙𝑜𝑤	𝑇𝑙𝑜𝑤	PROPN
cana-4323	97	2	≤	≤	ADJ
cana-4323	97	3	𝑁𝑀𝑆(𝑥	𝑁𝑀𝑆(𝑥	NUM
cana-4323	97	4	,	,	PUNCT
cana-4323	97	5	𝑦	𝑦	NOUN
cana-4323	97	6	)	)	PUNCT
cana-4323	97	7	≤	≤	NOUN
cana-4323	98	1	𝑇ℎ𝑖𝑔ℎ	𝑇ℎ𝑖𝑔ℎ	PROPN
cana-4323	98	2	---------(8	---------(8	PROPN
cana-4323	98	3	)	)	PUNCT
cana-4323	98	4	this	this	PRON
cana-4323	98	5	results	result	VERB
cana-4323	98	6	in	in	ADP
cana-4323	98	7	the	the	DET
cana-4323	98	8	final	final	ADJ
cana-4323	98	9	set	set	NOUN
cana-4323	98	10	of	of	ADP
cana-4323	98	11	edges	edge	NOUN
cana-4323	98	12	,	,	PUNCT
cana-4323	98	13	where	where	SCONJ
cana-4323	98	14	strong	strong	ADJ
cana-4323	98	15	edges	edge	NOUN
cana-4323	98	16	are	be	AUX
cana-4323	98	17	identified	identify	VERB
cana-4323	98	18	directly	directly	ADV
cana-4323	98	19	,	,	PUNCT
cana-4323	98	20	and	and	CCONJ
cana-4323	98	21	weak	weak	ADJ
cana-4323	98	22	edges	edge	NOUN
cana-4323	98	23	are	be	AUX
cana-4323	98	24	included	include	VERB
cana-4323	98	25	if	if	SCONJ
cana-4323	98	26	they	they	PRON
cana-4323	98	27	are	be	AUX
cana-4323	98	28	connected	connect	VERB
cana-4323	98	29	to	to	ADP
cana-4323	98	30	strong	strong	ADJ
cana-4323	98	31	edges	edge	NOUN
cana-4323	98	32	.	.	PUNCT
cana-4323	99	1	communications	communication	NOUN
cana-4323	99	2	on	on	ADP
cana-4323	99	3	applied	apply	VERB
cana-4323	99	4	nonlinear	nonlinear	ADJ
cana-4323	99	5	analysis	analysis	NOUN
cana-4323	99	6	issn	issn	NOUN
cana-4323	99	7	:	:	PUNCT
cana-4323	99	8	1074	1074	NUM
cana-4323	99	9	-	-	PUNCT
cana-4323	99	10	133x	133x	NUM
cana-4323	99	11	vol	vol	NOUN
cana-4323	99	12	32	32	NUM
cana-4323	99	13	no	no	NOUN
cana-4323	99	14	.	.	NOUN
cana-4323	99	15	3	3	NUM
cana-4323	99	16	(	(	PUNCT
cana-4323	99	17	2025	2025	NUM
cana-4323	99	18	)	)	PUNCT
cana-4323	99	19	793	793	NUM
cana-4323	99	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	99	21	morphological	morphological	ADJ
cana-4323	99	22	operation	operation	NOUN
cana-4323	99	23	morphological	morphological	ADJ
cana-4323	99	24	operations	operation	NOUN
cana-4323	99	25	,	,	PUNCT
cana-4323	99	26	such	such	ADJ
cana-4323	99	27	as	as	ADP
cana-4323	99	28	dilation	dilation	NOUN
cana-4323	99	29	and	and	CCONJ
cana-4323	99	30	erosion	erosion	NOUN
cana-4323	99	31	,	,	PUNCT
cana-4323	99	32	are	be	AUX
cana-4323	99	33	fundamental	fundamental	ADJ
cana-4323	99	34	techniques	technique	NOUN
cana-4323	99	35	used	use	VERB
cana-4323	99	36	in	in	ADP
cana-4323	99	37	image	image	NOUN
cana-4323	99	38	processing	processing	NOUN
cana-4323	99	39	to	to	PART
cana-4323	99	40	enhance	enhance	VERB
cana-4323	99	41	and	and	CCONJ
cana-4323	99	42	clarify	clarify	VERB
cana-4323	99	43	structural	structural	ADJ
cana-4323	99	44	details	detail	NOUN
cana-4323	99	45	within	within	ADP
cana-4323	99	46	images	image	NOUN
cana-4323	99	47	.	.	PUNCT
cana-4323	100	1	dilation	dilation	NOUN
cana-4323	100	2	is	be	AUX
cana-4323	100	3	a	a	DET
cana-4323	100	4	morphological	morphological	ADJ
cana-4323	100	5	operation	operation	NOUN
cana-4323	100	6	that	that	PRON
cana-4323	100	7	expands	expand	VERB
cana-4323	100	8	the	the	DET
cana-4323	100	9	boundaries	boundary	NOUN
cana-4323	100	10	of	of	ADP
cana-4323	100	11	regions	region	NOUN
cana-4323	100	12	of	of	ADP
cana-4323	100	13	foreground	foreground	NOUN
cana-4323	100	14	pixels	pixel	NOUN
cana-4323	100	15	(	(	PUNCT
cana-4323	100	16	typically	typically	ADV
cana-4323	100	17	white	white	ADJ
cana-4323	100	18	)	)	PUNCT
cana-4323	100	19	in	in	ADP
cana-4323	100	20	an	an	DET
cana-4323	100	21	image	image	NOUN
cana-4323	100	22	.	.	PUNCT
cana-4323	101	1	it	it	PRON
cana-4323	101	2	achieves	achieve	VERB
cana-4323	101	3	this	this	PRON
cana-4323	101	4	by	by	ADP
cana-4323	101	5	adding	add	VERB
cana-4323	101	6	pixels	pixel	NOUN
cana-4323	101	7	to	to	ADP
cana-4323	101	8	the	the	DET
cana-4323	101	9	boundaries	boundary	NOUN
cana-4323	101	10	of	of	ADP
cana-4323	101	11	objects	object	NOUN
cana-4323	101	12	in	in	ADP
cana-4323	101	13	the	the	DET
cana-4323	101	14	image	image	NOUN
cana-4323	101	15	.	.	PUNCT
cana-4323	102	1	the	the	DET
cana-4323	102	2	dilation	dilation	NOUN
cana-4323	102	3	of	of	ADP
cana-4323	102	4	an	an	DET
cana-4323	102	5	image	image	NOUN
cana-4323	102	6	i	i	PRON
cana-4323	102	7	by	by	ADP
cana-4323	102	8	a	a	DET
cana-4323	102	9	structuring	structuring	NOUN
cana-4323	102	10	element	element	NOUN
cana-4323	102	11	b	b	PROPN
cana-4323	102	12	is	be	AUX
cana-4323	102	13	defined	define	VERB
cana-4323	102	14	as	as	ADP
cana-4323	102	15	:	:	PUNCT
cana-4323	102	16	(	(	PUNCT
cana-4323	102	17	𝐼	𝐼	PROPN
cana-4323	102	18	⊕	⊕	PROPN
cana-4323	102	19	𝐵)(𝑥	𝐵)(𝑥	PROPN
cana-4323	102	20	,	,	PUNCT
cana-4323	102	21	𝑦	𝑦	NOUN
cana-4323	102	22	)	)	PUNCT
cana-4323	102	23	=	=	PUNCT
cana-4323	103	1	⋃	⋃	ADP
cana-4323	103	2	𝐼(𝑥	𝐼(𝑥	PUNCT
cana-4323	103	3	−	−	PROPN
cana-4323	103	4	𝑠	𝑠	PROPN
cana-4323	103	5	,	,	PUNCT
cana-4323	103	6	𝑦	𝑦	NOUN
cana-4323	103	7	−	−	NOUN
cana-4323	103	8	𝑡)(𝑠,𝑡)∈𝐵	𝑡)(𝑠,𝑡)∈𝐵	NOUN
cana-4323	103	9	---------(9	---------(9	NOUN
cana-4323	103	10	)	)	PUNCT
cana-4323	103	11	where	where	SCONJ
cana-4323	103	12	⊕	⊕	PROPN
cana-4323	103	13	denotes	denote	VERB
cana-4323	103	14	the	the	DET
cana-4323	103	15	dilation	dilation	NOUN
cana-4323	103	16	operator	operator	NOUN
cana-4323	103	17	,	,	PUNCT
cana-4323	103	18	(	(	PUNCT
cana-4323	103	19	x	x	X
cana-4323	103	20	,	,	PUNCT
cana-4323	103	21	y	y	NOUN
cana-4323	103	22	)	)	PUNCT
cana-4323	103	23	are	be	AUX
cana-4323	103	24	pixel	pixel	PROPN
cana-4323	103	25	coordinates	coordinate	NOUN
cana-4323	103	26	,	,	PUNCT
cana-4323	103	27	and	and	CCONJ
cana-4323	103	28	b	b	X
cana-4323	103	29	is	be	AUX
cana-4323	103	30	the	the	DET
cana-4323	103	31	structuring	structuring	NOUN
cana-4323	103	32	element	element	NOUN
cana-4323	103	33	,	,	PUNCT
cana-4323	103	34	which	which	PRON
cana-4323	103	35	is	be	AUX
cana-4323	103	36	a	a	DET
cana-4323	103	37	small	small	ADJ
cana-4323	103	38	binary	binary	ADJ
cana-4323	103	39	image	image	NOUN
cana-4323	103	40	.	.	PUNCT
cana-4323	104	1	erosion	erosion	NOUN
cana-4323	104	2	is	be	AUX
cana-4323	104	3	another	another	DET
cana-4323	104	4	morphological	morphological	ADJ
cana-4323	104	5	operation	operation	NOUN
cana-4323	104	6	that	that	PRON
cana-4323	104	7	shrinks	shrink	VERB
cana-4323	104	8	the	the	DET
cana-4323	104	9	boundaries	boundary	NOUN
cana-4323	104	10	of	of	ADP
cana-4323	104	11	regions	region	NOUN
cana-4323	104	12	of	of	ADP
cana-4323	104	13	foreground	foreground	NOUN
cana-4323	104	14	pixels	pixel	NOUN
cana-4323	104	15	in	in	ADP
cana-4323	104	16	an	an	DET
cana-4323	104	17	image	image	NOUN
cana-4323	104	18	.	.	PUNCT
cana-4323	105	1	it	it	PRON
cana-4323	105	2	removes	remove	VERB
cana-4323	105	3	pixels	pixel	NOUN
cana-4323	105	4	from	from	ADP
cana-4323	105	5	the	the	DET
cana-4323	105	6	boundaries	boundary	NOUN
cana-4323	105	7	of	of	ADP
cana-4323	105	8	objects	object	NOUN
cana-4323	105	9	in	in	ADP
cana-4323	105	10	the	the	DET
cana-4323	105	11	image	image	NOUN
cana-4323	105	12	.	.	PUNCT
cana-4323	106	1	the	the	DET
cana-4323	106	2	erosion	erosion	NOUN
cana-4323	106	3	of	of	ADP
cana-4323	106	4	an	an	DET
cana-4323	106	5	image	image	NOUN
cana-4323	106	6	i	i	PRON
cana-4323	106	7	by	by	ADP
cana-4323	106	8	a	a	DET
cana-4323	106	9	structuring	structuring	NOUN
cana-4323	106	10	element	element	NOUN
cana-4323	106	11	b	b	PROPN
cana-4323	106	12	is	be	AUX
cana-4323	106	13	defined	define	VERB
cana-4323	106	14	as	as	ADP
cana-4323	106	15	:	:	PUNCT
cana-4323	106	16	(	(	PUNCT
cana-4323	106	17	𝐼	𝐼	PROPN
cana-4323	106	18	⊖	⊖	VERB
cana-4323	106	19	𝐵)(𝑥	𝐵)(𝑥	PROPN
cana-4323	106	20	,	,	PUNCT
cana-4323	106	21	𝑦	𝑦	NOUN
cana-4323	106	22	)	)	PUNCT
cana-4323	106	23	=	=	PUNCT
cana-4323	107	1	⋃	⋃	ADP
cana-4323	107	2	𝐼(𝑥	𝐼(𝑥	PUNCT
cana-4323	107	3	+	+	NUM
cana-4323	107	4	𝑠	𝑠	PROPN
cana-4323	107	5	,	,	PUNCT
cana-4323	107	6	𝑦	𝑦	NOUN
cana-4323	107	7	+	+	CCONJ
cana-4323	107	8	𝑡)(𝑠,𝑡)∈𝐵	𝑡)(𝑠,𝑡)∈𝐵	NOUN
cana-4323	107	9	---------(10	---------(10	NOUN
cana-4323	107	10	)	)	PUNCT
cana-4323	107	11	where	where	SCONJ
cana-4323	107	12	⊖	⊖	ADJ
cana-4323	107	13	denotes	denote	VERB
cana-4323	107	14	the	the	DET
cana-4323	107	15	erosion	erosion	NOUN
cana-4323	107	16	operator	operator	NOUN
cana-4323	107	17	.	.	PUNCT
cana-4323	108	1	the	the	DET
cana-4323	108	2	image	image	NOUN
cana-4323	108	3	preparation	preparation	NOUN
cana-4323	108	4	process	process	NOUN
cana-4323	108	5	is	be	AUX
cana-4323	108	6	given	give	VERB
cana-4323	108	7	in	in	ADP
cana-4323	108	8	algorithm	algorithm	NOUN
cana-4323	108	9	1	1	NUM
cana-4323	108	10	.	.	PUNCT
cana-4323	109	1	algorithm	algorithm	NOUN
cana-4323	109	2	1	1	NUM
cana-4323	109	3	:	:	PUNCT
cana-4323	109	4	image	image	NOUN
cana-4323	109	5	preparation	preparation	NOUN
cana-4323	109	6	process	process	NOUN
cana-4323	109	7	1	1	NUM
cana-4323	109	8	.	.	PUNCT
cana-4323	109	9	data	datum	NOUN
cana-4323	109	10	gathering	gather	VERB
cana-4323	109	11	input	input	NOUN
cana-4323	109	12	:	:	PUNCT
cana-4323	109	13	dataset	dataset	NOUN
cana-4323	109	14	of	of	ADP
cana-4323	109	15	chemical	chemical	NOUN
cana-4323	109	16	compounds	compound	NOUN
cana-4323	109	17	(	(	PUNCT
cana-4323	109	18	both	both	CCONJ
cana-4323	109	19	authentic	authentic	ADJ
cana-4323	109	20	and	and	CCONJ
cana-4323	109	21	fake	fake	ADJ
cana-4323	109	22	)	)	PUNCT
cana-4323	109	23	output	output	NOUN
cana-4323	109	24	:	:	PUNCT
cana-4323	109	25	molecular	molecular	ADJ
cana-4323	109	26	graphs	graph	NOUN
cana-4323	109	27	for	for	ADP
cana-4323	109	28	each	each	DET
cana-4323	109	29	compound	compound	NOUN
cana-4323	109	30	1.1	1.1	NUM
cana-4323	109	31	obtain	obtain	VERB
cana-4323	109	32	dataset	dataset	NOUN
cana-4323	109	33	of	of	ADP
cana-4323	109	34	chemical	chemical	NOUN
cana-4323	109	35	compounds	compound	NOUN
cana-4323	109	36	1.2	1.2	NUM
cana-4323	109	37	represent	represent	VERB
cana-4323	109	38	each	each	DET
cana-4323	109	39	compound	compound	NOUN
cana-4323	109	40	as	as	ADP
cana-4323	109	41	a	a	DET
cana-4323	109	42	molecular	molecular	ADJ
cana-4323	109	43	graph	graph	NOUN
cana-4323	109	44	(	(	PUNCT
cana-4323	109	45	nodes	node	NOUN
cana-4323	109	46	:	:	PUNCT
cana-4323	109	47	atoms	atom	NOUN
cana-4323	109	48	,	,	PUNCT
cana-4323	109	49	edges	edge	NOUN
cana-4323	109	50	:	:	PUNCT
cana-4323	109	51	bonds	bond	NOUN
cana-4323	109	52	)	)	PUNCT
cana-4323	109	53	2	2	X
cana-4323	109	54	.	.	X
cana-4323	109	55	preprocessing	preprocesse	VERB
cana-4323	109	56	input	input	NOUN
cana-4323	109	57	:	:	PUNCT
cana-4323	109	58	molecular	molecular	ADJ
cana-4323	109	59	graphs	graph	NOUN
cana-4323	109	60	output	output	NOUN
cana-4323	109	61	:	:	PUNCT
cana-4323	109	62	preprocessed	preprocesse	VERB
cana-4323	109	63	molecular	molecular	ADJ
cana-4323	109	64	graphs	graph	NOUN
cana-4323	109	65	2.1	2.1	NUM
cana-4323	109	66	apply	apply	NOUN
cana-4323	109	67	gaussian	gaussian	ADJ
cana-4323	109	68	filter	filter	NOUN
cana-4323	109	69	for	for	ADP
cana-4323	109	70	noise	noise	NOUN
cana-4323	109	71	reduction	reduction	NOUN
cana-4323	109	72	function	function	NOUN
cana-4323	109	73	gaussianfilter(i	gaussianfilter(i	PROPN
cana-4323	109	74	,	,	PUNCT
cana-4323	109	75	σ	σ	PROPN
cana-4323	109	76	):	):	PUNCT
cana-4323	109	77	is	be	AUX
cana-4323	109	78	=	=	SYM
cana-4323	109	79	convolve(i	convolve(i	NOUN
cana-4323	109	80	,	,	PUNCT
cana-4323	109	81	g	g	NOUN
cana-4323	109	82	)	)	PUNCT
cana-4323	109	83	return	return	NOUN
cana-4323	109	84	is	be	AUX
cana-4323	109	85	2.2	2.2	NUM
cana-4323	109	86	compute	compute	NOUN
cana-4323	109	87	intensity	intensity	NOUN
cana-4323	109	88	gradients	gradient	NOUN
cana-4323	109	89	using	use	VERB
cana-4323	109	90	sobel	sobel	PROPN
cana-4323	109	91	operators	operator	NOUN
cana-4323	109	92	function	function	VERB
cana-4323	109	93	computegradients(i_s	computegradients(i_s	PROPN
cana-4323	109	94	):	):	PUNCT
cana-4323	109	95	gx	gx	PROPN
cana-4323	109	96	=	=	PUNCT
cana-4323	109	97	sobelx(is	sobelx(is	PROPN
cana-4323	109	98	)	)	PUNCT
cana-4323	109	99	gy	gy	NOUN
cana-4323	109	100	=	=	PUNCT
cana-4323	109	101	sobely(is	sobely(is	PROPN
cana-4323	109	102	)	)	PUNCT
cana-4323	109	103	return	return	NOUN
cana-4323	109	104	g	g	NOUN
cana-4323	109	105	,	,	PUNCT
cana-4323	109	106	θ	θ	PROPN
cana-4323	109	107	communications	communication	NOUN
cana-4323	109	108	on	on	ADP
cana-4323	109	109	applied	apply	VERB
cana-4323	109	110	nonlinear	nonlinear	ADJ
cana-4323	109	111	analysis	analysis	NOUN
cana-4323	109	112	issn	issn	NOUN
cana-4323	109	113	:	:	PUNCT
cana-4323	109	114	1074	1074	NUM
cana-4323	109	115	-	-	PUNCT
cana-4323	109	116	133x	133x	NUM
cana-4323	109	117	vol	vol	NOUN
cana-4323	109	118	32	32	NUM
cana-4323	109	119	no	no	NOUN
cana-4323	109	120	.	.	NOUN
cana-4323	109	121	3	3	NUM
cana-4323	109	122	(	(	PUNCT
cana-4323	109	123	2025	2025	NUM
cana-4323	109	124	)	)	PUNCT
cana-4323	109	125	794	794	NUM
cana-4323	109	126	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	109	127	2.3	2.3	NUM
cana-4323	109	128	perform	perform	VERB
cana-4323	109	129	non	non	ADJ
cana-4323	109	130	-	-	ADJ
cana-4323	109	131	maximum	maximum	ADJ
cana-4323	109	132	suppression	suppression	NOUN
cana-4323	109	133	function	function	NOUN
cana-4323	109	134	nonmaximumsuppression(g	nonmaximumsuppression(g	ADP
cana-4323	109	135	,	,	PUNCT
cana-4323	109	136	θ	θ	PROPN
cana-4323	109	137	):	):	PUNCT
cana-4323	109	138	nms	nms	NOUN
cana-4323	109	139	=	=	SYM
cana-4323	109	140	zeromatrix(size(g	zeromatrix(size(g	NUM
cana-4323	109	141	)	)	PUNCT
cana-4323	109	142	)	)	PUNCT
cana-4323	109	143	for	for	ADP
cana-4323	109	144	each	each	DET
cana-4323	109	145	pixel	pixel	NOUN
cana-4323	109	146	(	(	PUNCT
cana-4323	109	147	x	x	X
cana-4323	109	148	,	,	PUNCT
cana-4323	109	149	y	y	NOUN
cana-4323	109	150	)	)	PUNCT
cana-4323	109	151	in	in	ADP
cana-4323	109	152	g	g	NOUN
cana-4323	109	153	:	:	PUNCT
cana-4323	109	154	if	if	SCONJ
cana-4323	109	155	g(x	g(x	PROPN
cana-4323	109	156	,	,	PUNCT
cana-4323	109	157	y	y	NOUN
cana-4323	109	158	)	)	PUNCT
cana-4323	109	159	is	be	AUX
cana-4323	109	160	a	a	DET
cana-4323	109	161	local	local	ADJ
cana-4323	109	162	maximum	maximum	NOUN
cana-4323	109	163	along	along	ADP
cana-4323	109	164	θ(x	θ(x	PROPN
cana-4323	109	165	,	,	PUNCT
cana-4323	109	166	y	y	PROPN
cana-4323	109	167	):	):	PUNCT
cana-4323	109	168	nms(x	nms(x	PROPN
cana-4323	109	169	,	,	PUNCT
cana-4323	109	170	y	y	NOUN
cana-4323	109	171	)	)	PUNCT
cana-4323	109	172	=	=	SYM
cana-4323	109	173	g(x	g(x	NOUN
cana-4323	109	174	,	,	PUNCT
cana-4323	109	175	y	y	NOUN
cana-4323	109	176	)	)	PUNCT
cana-4323	109	177	return	return	VERB
cana-4323	109	178	nms	nms	NOUN
cana-4323	109	179	2.4	2.4	NUM
cana-4323	109	180	apply	apply	NOUN
cana-4323	109	181	edge	edge	NOUN
cana-4323	109	182	tracking	tracking	NOUN
cana-4323	109	183	by	by	ADP
cana-4323	109	184	hysteresis	hysteresis	NOUN
cana-4323	109	185	function	function	NOUN
cana-4323	109	186	hysteresisedgetracking(nms	hysteresisedgetracking(nms	NOUN
cana-4323	109	187	,	,	PUNCT
cana-4323	109	188	t_low	t_low	NOUN
cana-4323	109	189	,	,	PUNCT
cana-4323	109	190	t_high	t_high	ADJ
cana-4323	109	191	):	):	PUNCT
cana-4323	109	192	e	e	X
cana-4323	109	193	=	=	PUNCT
cana-4323	109	194	zeromatrix(size(nms	zeromatrix(size(nms	PROPN
cana-4323	109	195	)	)	PUNCT
cana-4323	109	196	)	)	PUNCT
cana-4323	109	197	for	for	ADP
cana-4323	109	198	each	each	DET
cana-4323	109	199	pixel	pixel	NOUN
cana-4323	109	200	(	(	PUNCT
cana-4323	109	201	x	x	X
cana-4323	109	202	,	,	PUNCT
cana-4323	109	203	y	y	NOUN
cana-4323	109	204	)	)	PUNCT
cana-4323	109	205	in	in	ADP
cana-4323	109	206	nms	nms	NOUN
cana-4323	109	207	:	:	PUNCT
cana-4323	109	208	if	if	SCONJ
cana-4323	109	209	nms(x	nms(x	PROPN
cana-4323	109	210	,	,	PUNCT
cana-4323	109	211	y	y	NOUN
cana-4323	109	212	)	)	PUNCT
cana-4323	109	213	>	>	X
cana-4323	109	214	thigh	thigh	NOUN
cana-4323	109	215	:	:	PUNCT
cana-4323	109	216	e(x	e(x	NUM
cana-4323	109	217	,	,	PUNCT
cana-4323	109	218	y	y	NOUN
cana-4323	109	219	)	)	PUNCT
cana-4323	109	220	=	=	SYM
cana-4323	109	221	1	1	NUM
cana-4323	109	222	elif	elif	VERB
cana-4323	109	223	tlow	tlow	ADJ
cana-4323	109	224	<	<	X
cana-4323	109	225	=	=	X
cana-4323	109	226	nms(x	nms(x	PROPN
cana-4323	109	227	,	,	PUNCT
cana-4323	109	228	y	y	NOUN
cana-4323	109	229	)	)	PUNCT
cana-4323	109	230	<	<	X
cana-4323	109	231	=	=	X
cana-4323	109	232	thigh	thigh	NOUN
cana-4323	109	233	and	and	CCONJ
cana-4323	109	234	connected	connect	VERB
cana-4323	109	235	to	to	ADP
cana-4323	109	236	strong	strong	ADJ
cana-4323	109	237	edge	edge	NOUN
cana-4323	109	238	:	:	PUNCT
cana-4323	109	239	e(x	e(x	NUM
cana-4323	109	240	,	,	PUNCT
cana-4323	109	241	y	y	NOUN
cana-4323	109	242	)	)	PUNCT
cana-4323	109	243	=	=	SYM
cana-4323	109	244	1	1	NUM
cana-4323	109	245	return	return	NOUN
cana-4323	109	246	e	e	ADP
cana-4323	109	247	2.5	2.5	NUM
cana-4323	109	248	apply	apply	VERB
cana-4323	109	249	morphological	morphological	ADJ
cana-4323	109	250	operations	operation	NOUN
cana-4323	109	251	function	function	VERB
cana-4323	109	252	morphologicaloperations(e	morphologicaloperations(e	PROPN
cana-4323	109	253	):	):	PUNCT
cana-4323	109	254	e_dilated	e_dilate	VERB
cana-4323	109	255	=	=	SYM
cana-4323	109	256	dilation(e	dilation(e	PROPN
cana-4323	109	257	,	,	PUNCT
cana-4323	109	258	structuring_element	structuring_element	NOUN
cana-4323	109	259	)	)	PUNCT
cana-4323	109	260	e_eroded	e_erode	VERB
cana-4323	109	261	=	=	SYM
cana-4323	109	262	erosion(e_dilated	erosion(e_dilate	VERB
cana-4323	109	263	,	,	PUNCT
cana-4323	109	264	structuring_element	structuring_element	NOUN
cana-4323	109	265	)	)	PUNCT
cana-4323	109	266	return	return	NOUN
cana-4323	109	267	e_eroded	e_erode	VERB
cana-4323	109	268	gnn	gnn	PROPN
cana-4323	109	269	based	base	VERB
cana-4323	109	270	classification	classification	NOUN
cana-4323	109	271	to	to	PART
cana-4323	109	272	classify	classify	VERB
cana-4323	109	273	original	original	ADJ
cana-4323	109	274	and	and	CCONJ
cana-4323	109	275	counterfeit	counterfeit	ADJ
cana-4323	109	276	medicine	medicine	NOUN
cana-4323	109	277	images	image	NOUN
cana-4323	109	278	based	base	VERB
cana-4323	109	279	on	on	ADP
cana-4323	109	280	chemical	chemical	ADJ
cana-4323	109	281	structure	structure	NOUN
cana-4323	109	282	graphs	graph	NOUN
cana-4323	109	283	using	use	VERB
cana-4323	109	284	a	a	DET
cana-4323	109	285	graph	graph	NOUN
cana-4323	109	286	neural	neural	ADJ
cana-4323	109	287	network	network	NOUN
cana-4323	109	288	(	(	PUNCT
cana-4323	109	289	gnn	gnn	PROPN
cana-4323	109	290	)	)	PUNCT
cana-4323	109	291	,	,	PUNCT
cana-4323	109	292	particularly	particularly	ADV
cana-4323	109	293	focusing	focus	VERB
cana-4323	109	294	on	on	ADP
cana-4323	109	295	graph	graph	NOUN
cana-4323	109	296	convolutional	convolutional	ADJ
cana-4323	109	297	networks	network	NOUN
cana-4323	109	298	(	(	PUNCT
cana-4323	109	299	gcns	gcns	PROPN
cana-4323	109	300	)	)	PUNCT
cana-4323	109	301	,	,	PUNCT
cana-4323	109	302	here	here	ADV
cana-4323	109	303	’s	’	VERB
cana-4323	109	304	a	a	DET
cana-4323	109	305	structured	structured	ADJ
cana-4323	109	306	approach	approach	NOUN
cana-4323	109	307	:	:	PUNCT
cana-4323	109	308	graph	graph	NOUN
cana-4323	109	309	convolution	convolution	NOUN
cana-4323	109	310	layer	layer	NOUN
cana-4323	109	311	:	:	PUNCT
cana-4323	109	312	aggregate	aggregate	VERB
cana-4323	109	313	information	information	NOUN
cana-4323	109	314	from	from	ADP
cana-4323	109	315	a	a	DET
cana-4323	109	316	node	node	NOUN
cana-4323	109	317	's	's	PART
cana-4323	109	318	neighbors	neighbor	NOUN
cana-4323	109	319	using	use	VERB
cana-4323	109	320	a	a	DET
cana-4323	109	321	weighted	weighted	ADJ
cana-4323	109	322	sum	sum	NOUN
cana-4323	109	323	.	.	PUNCT
cana-4323	110	1	the	the	DET
cana-4323	110	2	process	process	NOUN
cana-4323	110	3	is	be	AUX
cana-4323	110	4	given	give	VERB
cana-4323	110	5	in	in	ADP
cana-4323	110	6	equation	equation	NOUN
cana-4323	110	7	11	11	NUM
cana-4323	110	8	.	.	PUNCT
cana-4323	111	1	ℎ𝑣	ℎ𝑣	PROPN
cana-4323	111	2	(	(	PUNCT
cana-4323	111	3	𝑘+1	𝑘+1	X
cana-4323	111	4	)	)	PUNCT
cana-4323	111	5	=	=	SYM
cana-4323	111	6	𝜎	𝜎	PROPN
cana-4323	111	7	(	(	PUNCT
cana-4323	111	8	∑	∑	PROPN
cana-4323	111	9	1	1	NUM
cana-4323	111	10	|𝑁(𝑣)|𝑢𝜖𝑁(𝑣	|𝑁(𝑣)|𝑢𝜖𝑁(𝑣	PROPN
cana-4323	111	11	)	)	PUNCT
cana-4323	111	12	∙	∙	PROPN
cana-4323	111	13	ℎ𝑢	ℎ𝑢	PROPN
cana-4323	111	14	(	(	PUNCT
cana-4323	111	15	𝑣	𝑣	NOUN
cana-4323	111	16	)	)	PUNCT
cana-4323	111	17	∙	∙	PROPN
cana-4323	111	18	𝑊(𝑘	𝑊(𝑘	NUM
cana-4323	111	19	)	)	PUNCT
cana-4323	111	20	+	+	CCONJ
cana-4323	111	21	𝑊0	𝑊0	PROPN
cana-4323	111	22	(	(	PUNCT
cana-4323	111	23	𝑘	𝑘	NOUN
cana-4323	111	24	)	)	PUNCT
cana-4323	112	1	∙	∙	PROPN
cana-4323	112	2	ℎ𝑣	ℎ𝑣	VERB
cana-4323	112	3	(	(	PUNCT
cana-4323	112	4	𝑘	𝑘	NOUN
cana-4323	112	5	)	)	PUNCT
cana-4323	112	6	)	)	PUNCT
cana-4323	113	1	---------(11	---------(11	NOUN
cana-4323	113	2	)	)	PUNCT
cana-4323	113	3	where	where	SCONJ
cana-4323	113	4	ℎ𝑣	ℎ𝑣	ADV
cana-4323	113	5	(	(	PUNCT
cana-4323	113	6	𝑘+1	𝑘+1	NOUN
cana-4323	113	7	)	)	PUNCT
cana-4323	113	8	is	be	AUX
cana-4323	113	9	the	the	DET
cana-4323	113	10	feature	feature	NOUN
cana-4323	113	11	vector	vector	NOUN
cana-4323	113	12	of	of	ADP
cana-4323	113	13	node	node	ADJ
cana-4323	113	14	𝑣	𝑣	ADP
cana-4323	113	15	at	at	ADP
cana-4323	113	16	layer	layer	NOUN
cana-4323	113	17	𝑣	𝑣	ADP
cana-4323	113	18	,	,	PUNCT
cana-4323	113	19	𝑁(𝑣	𝑁(𝑣	X
cana-4323	113	20	)	)	PUNCT
cana-4323	113	21	denotes	denote	VERB
cana-4323	113	22	the	the	DET
cana-4323	113	23	neighbors	neighbor	NOUN
cana-4323	113	24	of	of	ADP
cana-4323	113	25	node	node	PROPN
cana-4323	113	26	𝑣	𝑣	PROPN
cana-4323	113	27	,	,	PUNCT
cana-4323	113	28	𝜎	𝜎	PROPN
cana-4323	113	29	represents	represent	VERB
cana-4323	113	30	an	an	DET
cana-4323	113	31	activation	activation	NOUN
cana-4323	113	32	function	function	NOUN
cana-4323	113	33	like	like	ADP
cana-4323	113	34	relu	relu	NOUN
cana-4323	113	35	,	,	PUNCT
cana-4323	113	36	𝑊(𝑘	𝑊(𝑘	X
cana-4323	113	37	)	)	PUNCT
cana-4323	113	38	and	and	CCONJ
cana-4323	113	39	𝑊0	𝑊0	PROPN
cana-4323	113	40	(	(	PUNCT
cana-4323	113	41	𝑘	𝑘	NOUN
cana-4323	113	42	)	)	PUNCT
cana-4323	113	43	are	be	AUX
cana-4323	113	44	learnable	learnable	ADJ
cana-4323	113	45	weight	weight	NOUN
cana-4323	113	46	matrices	matrix	NOUN
cana-4323	113	47	.	.	PUNCT
cana-4323	114	1	communications	communication	NOUN
cana-4323	114	2	on	on	ADP
cana-4323	114	3	applied	apply	VERB
cana-4323	114	4	nonlinear	nonlinear	ADJ
cana-4323	114	5	analysis	analysis	NOUN
cana-4323	114	6	issn	issn	NOUN
cana-4323	114	7	:	:	PUNCT
cana-4323	114	8	1074	1074	NUM
cana-4323	114	9	-	-	PUNCT
cana-4323	114	10	133x	133x	NUM
cana-4323	114	11	vol	vol	NOUN
cana-4323	114	12	32	32	NUM
cana-4323	114	13	no	no	NOUN
cana-4323	114	14	.	.	NOUN
cana-4323	114	15	3	3	NUM
cana-4323	114	16	(	(	PUNCT
cana-4323	114	17	2025	2025	NUM
cana-4323	114	18	)	)	PUNCT
cana-4323	114	19	795	795	NUM
cana-4323	114	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	114	21	pooling	pool	VERB
cana-4323	114	22	layer	layer	NOUN
cana-4323	114	23	:	:	PUNCT
cana-4323	114	24	reduce	reduce	VERB
cana-4323	114	25	the	the	DET
cana-4323	114	26	graph	graph	NOUN
cana-4323	114	27	size	size	NOUN
cana-4323	114	28	while	while	SCONJ
cana-4323	114	29	preserving	preserve	VERB
cana-4323	114	30	key	key	ADJ
cana-4323	114	31	features	feature	NOUN
cana-4323	114	32	.	.	PUNCT
cana-4323	115	1	the	the	DET
cana-4323	115	2	process	process	NOUN
cana-4323	115	3	is	be	AUX
cana-4323	115	4	given	give	VERB
cana-4323	115	5	in	in	ADP
cana-4323	115	6	equation	equation	NOUN
cana-4323	115	7	12	12	NUM
cana-4323	115	8	.	.	PUNCT
cana-4323	116	1	ℎ𝐺	ℎ𝐺	ADJ
cana-4323	116	2	=	=	X
cana-4323	116	3	𝑃𝑂𝑂𝐿({ℎ𝑣	𝑃𝑂𝑂𝐿({ℎ𝑣	PROPN
cana-4323	116	4	(	(	PUNCT
cana-4323	116	5	𝐾	𝐾	NOUN
cana-4323	116	6	)	)	PUNCT
cana-4323	116	7	|𝑣	|𝑣	NOUN
cana-4323	116	8	∈	∈	PROPN
cana-4323	116	9	𝐺})---------(12	𝐺})---------(12	PROPN
cana-4323	116	10	)	)	PUNCT
cana-4323	116	11	where	where	SCONJ
cana-4323	116	12	ℎ𝐺	ℎ𝐺	ADJ
cana-4323	116	13	represents	represent	VERB
cana-4323	116	14	the	the	DET
cana-4323	116	15	pooled	pooled	ADJ
cana-4323	116	16	graph	graph	NOUN
cana-4323	116	17	features	feature	NOUN
cana-4323	116	18	,	,	PUNCT
cana-4323	116	19	and	and	CCONJ
cana-4323	116	20	ℎ𝑣	ℎ𝑣	PROPN
cana-4323	116	21	(	(	PUNCT
cana-4323	116	22	𝐾	𝐾	NOUN
cana-4323	116	23	)	)	PUNCT
cana-4323	116	24	are	be	AUX
cana-4323	116	25	the	the	DET
cana-4323	116	26	features	feature	NOUN
cana-4323	116	27	of	of	ADP
cana-4323	116	28	nodes	node	NOUN
cana-4323	116	29	after	after	ADP
cana-4323	116	30	𝐾	𝐾	PROPN
cana-4323	116	31	layers	layer	NOUN
cana-4323	116	32	.	.	PUNCT
cana-4323	117	1	fully	fully	ADV
cana-4323	117	2	connected	connect	VERB
cana-4323	117	3	layer	layer	NOUN
cana-4323	117	4	:	:	PUNCT
cana-4323	117	5	perform	perform	VERB
cana-4323	117	6	final	final	ADJ
cana-4323	117	7	classification	classification	NOUN
cana-4323	117	8	using	use	VERB
cana-4323	117	9	softmax	softmax	ADJ
cana-4323	117	10	activation	activation	NOUN
cana-4323	117	11	.	.	PUNCT
cana-4323	118	1	the	the	DET
cana-4323	118	2	process	process	NOUN
cana-4323	118	3	is	be	AUX
cana-4323	118	4	given	give	VERB
cana-4323	118	5	in	in	ADP
cana-4323	118	6	equation	equation	NOUN
cana-4323	118	7	13	13	NUM
cana-4323	118	8	.	.	PUNCT
cana-4323	119	1	�	�	PROPN
cana-4323	119	2	̂	̂	VERB
cana-4323	119	3	�	�	PROPN
cana-4323	119	4	=	=	SYM
cana-4323	119	5	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑊𝑓𝑐	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑊𝑓𝑐	PROPN
cana-4323	119	6	∙	∙	PROPN
cana-4323	120	1	ℎ𝐺	ℎ𝐺	PROPN
cana-4323	120	2	+	+	NUM
cana-4323	120	3	𝑏𝑓𝑐)---------(13	𝑏𝑓𝑐)---------(13	NOUN
cana-4323	120	4	)	)	PUNCT
cana-4323	120	5	where	where	SCONJ
cana-4323	120	6	�	�	PROPN
cana-4323	120	7	̂	̂	VERB
cana-4323	120	8	�	�	NOUN
cana-4323	120	9	is	be	AUX
cana-4323	120	10	the	the	DET
cana-4323	120	11	predicted	predict	VERB
cana-4323	120	12	probability	probability	NOUN
cana-4323	120	13	vector	vector	NOUN
cana-4323	120	14	,	,	PUNCT
cana-4323	120	15	𝑊𝑓𝑐	𝑊𝑓𝑐	PROPN
cana-4323	120	16	,	,	PUNCT
cana-4323	120	17	and	and	CCONJ
cana-4323	120	18	𝑏𝑓𝑐	𝑏𝑓𝑐	VERB
cana-4323	120	19	are	be	AUX
cana-4323	120	20	the	the	DET
cana-4323	120	21	weights	weight	NOUN
cana-4323	120	22	and	and	CCONJ
cana-4323	120	23	biases	bias	NOUN
cana-4323	120	24	of	of	ADP
cana-4323	120	25	the	the	DET
cana-4323	120	26	fully	fully	ADV
cana-4323	120	27	connected	connect	VERB
cana-4323	120	28	layer	layer	NOUN
cana-4323	120	29	.	.	PUNCT
cana-4323	121	1	the	the	DET
cana-4323	121	2	tuning	tuning	NOUN
cana-4323	121	3	parameter	parameter	NOUN
cana-4323	121	4	for	for	ADP
cana-4323	121	5	gnn	gnn	PROPN
cana-4323	121	6	is	be	AUX
cana-4323	121	7	given	give	VERB
cana-4323	121	8	in	in	ADP
cana-4323	121	9	algorithm	algorithm	NOUN
cana-4323	121	10	1	1	NUM
cana-4323	121	11	.	.	PUNCT
cana-4323	121	12	loss	loss	NOUN
cana-4323	121	13	function	function	NOUN
cana-4323	121	14	:	:	PUNCT
cana-4323	121	15	use	use	VERB
cana-4323	121	16	cross	cross	ADJ
cana-4323	121	17	-	-	ADJ
cana-4323	121	18	entropy	entropy	ADJ
cana-4323	121	19	loss	loss	NOUN
cana-4323	121	20	for	for	ADP
cana-4323	121	21	classification	classification	NOUN
cana-4323	121	22	tasks	task	NOUN
cana-4323	121	23	is	be	AUX
cana-4323	121	24	given	give	VERB
cana-4323	121	25	in	in	ADP
cana-4323	121	26	equation	equation	NOUN
cana-4323	121	27	14	14	NUM
cana-4323	121	28	.	.	PUNCT
cana-4323	122	1	ℒ	ℒ	NOUN
cana-4323	122	2	=	=	SYM
cana-4323	122	3	−	−	PROPN
cana-4323	122	4	1	1	NUM
cana-4323	122	5	𝑁	𝑁	PROPN
cana-4323	122	6	∑	∑	PUNCT
cana-4323	122	7	(	(	PUNCT
cana-4323	122	8	𝑦𝑖	𝑦𝑖	PROPN
cana-4323	122	9	log(𝑦	log(𝑦	PROPN
cana-4323	122	10	�	�	PROPN
cana-4323	122	11	̂	̂	NOUN
cana-4323	122	12	�	�	PROPN
cana-4323	122	13	)	)	PUNCT
cana-4323	122	14	+	+	CCONJ
cana-4323	122	15	(	(	PUNCT
cana-4323	122	16	1	1	NUM
cana-4323	122	17	−	−	NOUN
cana-4323	122	18	𝑦𝑖)log	𝑦𝑖)log	NOUN
cana-4323	122	19	(	(	PUNCT
cana-4323	122	20	1	1	NUM
cana-4323	122	21	−	−	PROPN
cana-4323	122	22	𝑦	𝑦	SYM
cana-4323	122	23	�	�	NOUN
cana-4323	122	24	̂	̂	SYM
cana-4323	122	25	�	�	PROPN
cana-4323	122	26	))𝑁	))𝑁	PUNCT
cana-4323	122	27	𝑖=1	𝑖=1	PROPN
cana-4323	122	28	---------(14	---------(14	NOUN
cana-4323	122	29	)	)	PUNCT
cana-4323	122	30	where	where	SCONJ
cana-4323	122	31	𝑦𝑖	𝑦𝑖	PROPN
cana-4323	122	32	is	be	AUX
cana-4323	122	33	the	the	DET
cana-4323	122	34	true	true	ADJ
cana-4323	122	35	label	label	NOUN
cana-4323	122	36	,	,	PUNCT
cana-4323	122	37	and	and	CCONJ
cana-4323	122	38	𝑦	𝑦	NOUN
cana-4323	122	39	�	�	NOUN
cana-4323	122	40	̂	̂	VERB
cana-4323	122	41	�	�	NOUN
cana-4323	122	42	is	be	AUX
cana-4323	122	43	the	the	DET
cana-4323	122	44	predicted	predict	VERB
cana-4323	122	45	probability	probability	NOUN
cana-4323	122	46	for	for	ADP
cana-4323	122	47	the	the	DET
cana-4323	122	48	label	label	NOUN
cana-4323	122	49	𝑖.	𝑖.	ADJ
cana-4323	122	50	optimization	optimization	NOUN
cana-4323	122	51	:	:	PUNCT
cana-4323	122	52	update	update	NOUN
cana-4323	122	53	model	model	NOUN
cana-4323	122	54	parameters	parameter	NOUN
cana-4323	122	55	using	use	VERB
cana-4323	122	56	backpropagation	backpropagation	NOUN
cana-4323	122	57	and	and	CCONJ
cana-4323	122	58	stochastic	stochastic	ADJ
cana-4323	122	59	gradient	gradient	ADJ
cana-4323	122	60	descent	descent	NOUN
cana-4323	122	61	(	(	PUNCT
cana-4323	122	62	sgd	sgd	PROPN
cana-4323	122	63	)	)	PUNCT
cana-4323	122	64	is	be	AUX
cana-4323	122	65	given	give	VERB
cana-4323	122	66	in	in	ADP
cana-4323	122	67	equation	equation	NOUN
cana-4323	122	68	15	15	NUM
cana-4323	122	69	.	.	PUNCT
cana-4323	123	1	𝜃	𝜃	X
cana-4323	123	2	←	←	PROPN
cana-4323	123	3	𝜃	𝜃	X
cana-4323	123	4	−	−	NOUN
cana-4323	123	5	𝜂	𝜂	X
cana-4323	123	6	∙	∙	PROPN
cana-4323	123	7	∇𝜃ℒ---------(15	∇𝜃ℒ---------(15	NUM
cana-4323	123	8	)	)	PUNCT
cana-4323	123	9	this	this	DET
cana-4323	123	10	structured	structured	ADJ
cana-4323	123	11	approach	approach	NOUN
cana-4323	123	12	using	use	VERB
cana-4323	123	13	gcns	gcns	PROPN
cana-4323	123	14	allows	allow	VERB
cana-4323	123	15	effective	effective	ADJ
cana-4323	123	16	classification	classification	NOUN
cana-4323	123	17	of	of	ADP
cana-4323	123	18	images	image	NOUN
cana-4323	123	19	based	base	VERB
cana-4323	123	20	on	on	ADP
cana-4323	123	21	their	their	PRON
cana-4323	123	22	chemical	chemical	ADJ
cana-4323	123	23	structure	structure	NOUN
cana-4323	123	24	graphs	graph	NOUN
cana-4323	123	25	,	,	PUNCT
cana-4323	123	26	distinguishing	distinguish	VERB
cana-4323	123	27	between	between	ADP
cana-4323	123	28	original	original	ADJ
cana-4323	123	29	and	and	CCONJ
cana-4323	123	30	counterfeit	counterfeit	ADJ
cana-4323	123	31	medicines	medicine	NOUN
cana-4323	123	32	.	.	PUNCT
cana-4323	124	1	adjustments	adjustment	NOUN
cana-4323	124	2	in	in	ADP
cana-4323	124	3	network	network	NOUN
cana-4323	124	4	depth	depth	NOUN
cana-4323	124	5	(	(	PUNCT
cana-4323	124	6	number	number	NOUN
cana-4323	124	7	of	of	ADP
cana-4323	124	8	layers	layer	NOUN
cana-4323	124	9	)	)	PUNCT
cana-4323	124	10	,	,	PUNCT
cana-4323	124	11	activation	activation	NOUN
cana-4323	124	12	functions	function	NOUN
cana-4323	124	13	,	,	PUNCT
cana-4323	124	14	and	and	CCONJ
cana-4323	124	15	regularization	regularization	NOUN
cana-4323	124	16	techniques	technique	NOUN
cana-4323	124	17	can	can	AUX
cana-4323	124	18	further	far	ADV
cana-4323	124	19	optimize	optimize	VERB
cana-4323	124	20	performance	performance	NOUN
cana-4323	124	21	based	base	VERB
cana-4323	124	22	on	on	ADP
cana-4323	124	23	specific	specific	ADJ
cana-4323	124	24	dataset	dataset	NOUN
cana-4323	124	25	characteristics	characteristic	NOUN
cana-4323	124	26	and	and	CCONJ
cana-4323	124	27	computational	computational	ADJ
cana-4323	124	28	constraints	constraint	NOUN
cana-4323	124	29	.	.	PUNCT
cana-4323	125	1	the	the	DET
cana-4323	125	2	entire	entire	ADJ
cana-4323	125	3	procedure	procedure	NOUN
cana-4323	125	4	counterfeit	counterfeit	ADJ
cana-4323	125	5	medicine	medicine	NOUN
cana-4323	125	6	classification	classification	NOUN
cana-4323	125	7	is	be	AUX
cana-4323	125	8	given	give	VERB
cana-4323	125	9	in	in	ADP
cana-4323	125	10	algorithm	algorithm	NOUN
cana-4323	125	11	2	2	NUM
cana-4323	125	12	.	.	PUNCT
cana-4323	125	13	algorithm	algorithm	NOUN
cana-4323	125	14	2	2	NUM
cana-4323	125	15	:	:	PUNCT
cana-4323	125	16	counterfeit	counterfeit	ADJ
cana-4323	125	17	medicine	medicine	NOUN
cana-4323	125	18	classification	classification	NOUN
cana-4323	125	19	using	use	VERB
cana-4323	125	20	gnn	gnn	PROPN
cana-4323	125	21	1	1	NUM
cana-4323	125	22	.	.	PUNCT
cana-4323	126	1	graph	graph	NOUN
cana-4323	126	2	construction	construction	NOUN
cana-4323	126	3	input	input	NOUN
cana-4323	126	4	:	:	PUNCT
cana-4323	126	5	pre	pre	ADJ
cana-4323	126	6	-	-	ADJ
cana-4323	126	7	processed	process	VERB
cana-4323	126	8	molecular	molecular	ADJ
cana-4323	126	9	graphs	graph	NOUN
cana-4323	126	10	output	output	NOUN
cana-4323	126	11	:	:	PUNCT
cana-4323	126	12	graph	graph	VERB
cana-4323	126	13	representations	representation	NOUN
cana-4323	126	14	for	for	ADP
cana-4323	126	15	gnn	gnn	PROPN
cana-4323	126	16	1.1	1.1	NUM
cana-4323	126	17	convert	convert	NOUN
cana-4323	126	18	pre	pre	ADJ
cana-4323	126	19	-	-	ADJ
cana-4323	126	20	processed	processed	ADJ
cana-4323	126	21	data	datum	NOUN
cana-4323	126	22	into	into	ADP
cana-4323	126	23	graph	graph	NOUN
cana-4323	126	24	representations	representation	NOUN
cana-4323	126	25	(	(	PUNCT
cana-4323	126	26	nodes	node	NOUN
cana-4323	126	27	:	:	PUNCT
cana-4323	126	28	atoms	atom	NOUN
cana-4323	126	29	,	,	PUNCT
cana-4323	126	30	edges	edge	NOUN
cana-4323	126	31	:	:	PUNCT
cana-4323	126	32	bonds	bond	NOUN
cana-4323	126	33	)	)	PUNCT
cana-4323	127	1	2	2	NUM
cana-4323	127	2	.	.	X
cana-4323	127	3	gnn	gnn	NOUN
cana-4323	127	4	-	-	PUNCT
cana-4323	127	5	based	base	VERB
cana-4323	127	6	classification	classification	NOUN
cana-4323	127	7	input	input	NOUN
cana-4323	127	8	:	:	PUNCT
cana-4323	127	9	graph	graph	NOUN
cana-4323	127	10	representations	representation	NOUN
cana-4323	127	11	output	output	NOUN
cana-4323	127	12	:	:	PUNCT
cana-4323	127	13	classification	classification	NOUN
cana-4323	127	14	results	result	NOUN
cana-4323	127	15	(	(	PUNCT
cana-4323	127	16	authentic	authentic	ADJ
cana-4323	127	17	or	or	CCONJ
cana-4323	127	18	fake	fake	ADJ
cana-4323	127	19	)	)	PUNCT
cana-4323	127	20	2.1	2.1	NUM
cana-4323	127	21	define	define	VERB
cana-4323	127	22	graph	graph	NOUN
cana-4323	127	23	convolution	convolution	NOUN
cana-4323	127	24	layer	layer	NOUN
cana-4323	127	25	function	function	NOUN
cana-4323	127	26	graphconvolutionlayer	graphconvolutionlayer	PROPN
cana-4323	127	27	(	(	PUNCT
cana-4323	127	28	):	):	PUNCT
cana-4323	127	29	ℎ𝑣	ℎ𝑣	PROPN
cana-4323	127	30	(	(	PUNCT
cana-4323	127	31	𝑘+1	𝑘+1	NOUN
cana-4323	127	32	)	)	PUNCT
cana-4323	127	33	=	=	SYM
cana-4323	127	34	𝜎	𝜎	PROPN
cana-4323	127	35	(	(	PUNCT
cana-4323	127	36	∑	∑	PROPN
cana-4323	127	37	1	1	NUM
cana-4323	127	38	|𝑁(𝑣)|𝑢𝜖𝑁(𝑣	|𝑁(𝑣)|𝑢𝜖𝑁(𝑣	PROPN
cana-4323	127	39	)	)	PUNCT
cana-4323	127	40	∙	∙	PROPN
cana-4323	127	41	ℎ𝑢	ℎ𝑢	PROPN
cana-4323	127	42	(	(	PUNCT
cana-4323	127	43	𝑣	𝑣	NOUN
cana-4323	127	44	)	)	PUNCT
cana-4323	127	45	∙	∙	PROPN
cana-4323	127	46	𝑊(𝑘	𝑊(𝑘	NUM
cana-4323	127	47	)	)	PUNCT
cana-4323	127	48	+	+	CCONJ
cana-4323	127	49	𝑊0	𝑊0	PROPN
cana-4323	127	50	(	(	PUNCT
cana-4323	127	51	𝑘	𝑘	NOUN
cana-4323	127	52	)	)	PUNCT
cana-4323	128	1	∙	∙	PROPN
cana-4323	128	2	ℎ𝑣	ℎ𝑣	VERB
cana-4323	128	3	(	(	PUNCT
cana-4323	128	4	𝑘	𝑘	NOUN
cana-4323	128	5	)	)	PUNCT
cana-4323	128	6	)	)	PUNCT
cana-4323	128	7	return	return	VERB
cana-4323	128	8	h_next	h_next	NOUN
cana-4323	128	9	2.2	2.2	NUM
cana-4323	128	10	define	define	NOUN
cana-4323	128	11	pooling	pool	VERB
cana-4323	128	12	layer	layer	NOUN
cana-4323	128	13	function	function	NOUN
cana-4323	128	14	poolinglayer(h	poolinglayer(h	NOUN
cana-4323	128	15	):	):	PUNCT
cana-4323	128	16	h_g	h_g	PUNCT
cana-4323	128	17	=	=	SYM
cana-4323	128	18	pool(h	pool(h	PROPN
cana-4323	128	19	)	)	PUNCT
cana-4323	128	20	communications	communication	NOUN
cana-4323	128	21	on	on	ADP
cana-4323	128	22	applied	apply	VERB
cana-4323	128	23	nonlinear	nonlinear	ADJ
cana-4323	128	24	analysis	analysis	NOUN
cana-4323	128	25	issn	issn	NOUN
cana-4323	128	26	:	:	PUNCT
cana-4323	128	27	1074	1074	NUM
cana-4323	128	28	-	-	PUNCT
cana-4323	128	29	133x	133x	NUM
cana-4323	128	30	vol	vol	NOUN
cana-4323	128	31	32	32	NUM
cana-4323	129	1	no	no	NOUN
cana-4323	129	2	.	.	NOUN
cana-4323	129	3	3	3	NUM
cana-4323	129	4	(	(	PUNCT
cana-4323	129	5	2025	2025	NUM
cana-4323	129	6	)	)	PUNCT
cana-4323	130	1	796	796	NUM
cana-4323	130	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	130	3	ℎ𝐺	ℎ𝐺	ADV
cana-4323	130	4	=	=	PUNCT
cana-4323	130	5	𝑃𝑂𝑂𝐿({ℎ𝑣	𝑃𝑂𝑂𝐿({ℎ𝑣	PROPN
cana-4323	130	6	(	(	PUNCT
cana-4323	130	7	𝐾	𝐾	NOUN
cana-4323	130	8	)	)	PUNCT
cana-4323	130	9	|𝑣	|𝑣	NOUN
cana-4323	130	10	∈	∈	PROPN
cana-4323	130	11	𝐺	𝐺	PROPN
cana-4323	130	12	}	}	PUNCT
cana-4323	130	13	)	)	PUNCT
cana-4323	130	14	return	return	NOUN
cana-4323	130	15	h_g	h_g	PROPN
cana-4323	130	16	2.3	2.3	NUM
cana-4323	130	17	define	define	VERB
cana-4323	130	18	fully	fully	ADV
cana-4323	130	19	connected	connect	VERB
cana-4323	130	20	layer	layer	NOUN
cana-4323	130	21	function	function	NOUN
cana-4323	130	22	fullyconnectedlayer	fullyconnectedlayer	NOUN
cana-4323	130	23	(	(	PUNCT
cana-4323	130	24	):	):	PUNCT
cana-4323	130	25	�	�	PROPN
cana-4323	130	26	̂	̂	SYM
cana-4323	130	27	�	�	NOUN
cana-4323	130	28	=	=	SYM
cana-4323	130	29	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑊𝑓𝑐	𝑠𝑜𝑓𝑡𝑚𝑎𝑥(𝑊𝑓𝑐	PROPN
cana-4323	130	30	∙	∙	PROPN
cana-4323	130	31	ℎ𝐺	ℎ𝐺	PROPN
cana-4323	130	32	+	+	NUM
cana-4323	130	33	𝑏𝑓𝑐	𝑏𝑓𝑐	ADJ
cana-4323	130	34	)	)	PUNCT
cana-4323	130	35	return	return	NOUN
cana-4323	130	36	�	�	PROPN
cana-4323	130	37	̂	̂	SYM
cana-4323	130	38	�	�	NOUN
cana-4323	130	39	2.4	2.4	NUM
cana-4323	130	40	define	define	NOUN
cana-4323	130	41	loss	loss	NOUN
cana-4323	130	42	function	function	NOUN
cana-4323	130	43	(	(	PUNCT
cana-4323	130	44	cross	cross	NOUN
cana-4323	130	45	-	-	ADJ
cana-4323	130	46	entropy	entropy	ADJ
cana-4323	130	47	)	)	PUNCT
cana-4323	130	48	function	function	NOUN
cana-4323	130	49	crossentropyloss(y	crossentropyloss(y	NOUN
cana-4323	130	50	,	,	PUNCT
cana-4323	130	51	y_hat	y_hat	PROPN
cana-4323	130	52	):	):	PUNCT
cana-4323	130	53	l	l	NOUN
cana-4323	130	54	=	=	SYM
cana-4323	130	55	-1	-1	ADJ
cana-4323	130	56	/	/	SYM
cana-4323	130	57	n	n	PROPN
cana-4323	130	58	*	*	PUNCT
cana-4323	130	59	sum(y	sum(y	PUNCT
cana-4323	130	60	*	*	PUNCT
cana-4323	130	61	log(y_hat	log(y_hat	PROPN
cana-4323	130	62	)	)	PUNCT
cana-4323	131	1	+	+	CCONJ
cana-4323	131	2	(	(	PUNCT
cana-4323	131	3	1	1	NUM
cana-4323	131	4	y	y	NOUN
cana-4323	131	5	)	)	PUNCT
cana-4323	131	6	*	*	PUNCT
cana-4323	131	7	log(1	log(1	VERB
cana-4323	131	8	y_hat	y_hat	NOUN
cana-4323	131	9	)	)	PUNCT
cana-4323	131	10	)	)	PUNCT
cana-4323	132	1	ℒ	ℒ	NOUN
cana-4323	132	2	=	=	SYM
cana-4323	132	3	−	−	PROPN
cana-4323	132	4	1	1	NUM
cana-4323	132	5	𝑁	𝑁	PROPN
cana-4323	132	6	∑	∑	PUNCT
cana-4323	132	7	(	(	PUNCT
cana-4323	132	8	𝑦𝑖	𝑦𝑖	PROPN
cana-4323	132	9	log(𝑦	log(𝑦	PROPN
cana-4323	132	10	�	�	PROPN
cana-4323	132	11	̂	̂	NOUN
cana-4323	132	12	�	�	PROPN
cana-4323	132	13	)	)	PUNCT
cana-4323	132	14	+	+	CCONJ
cana-4323	132	15	(	(	PUNCT
cana-4323	132	16	1	1	NUM
cana-4323	132	17	−	−	NOUN
cana-4323	132	18	𝑦𝑖)log	𝑦𝑖)log	NOUN
cana-4323	132	19	(	(	PUNCT
cana-4323	132	20	1	1	NUM
cana-4323	132	21	−	−	PROPN
cana-4323	132	22	𝑦	𝑦	SYM
cana-4323	132	23	�	�	NOUN
cana-4323	132	24	̂	̂	SYM
cana-4323	132	25	�	�	PROPN
cana-4323	132	26	))𝑁	))𝑁	PUNCT
cana-4323	132	27	𝑖=1	𝑖=1	PROPN
cana-4323	132	28	return	return	NOUN
cana-4323	132	29	l	l	NOUN
cana-4323	132	30	2.5	2.5	NUM
cana-4323	132	31	define	define	VERB
cana-4323	132	32	optimization	optimization	NOUN
cana-4323	132	33	(	(	PUNCT
cana-4323	132	34	sgd	sgd	NOUN
cana-4323	132	35	)	)	PUNCT
cana-4323	132	36	function	function	NOUN
cana-4323	132	37	optimization(l	optimization(l	PROPN
cana-4323	132	38	,	,	PUNCT
cana-4323	132	39	θ	θ	PROPN
cana-4323	132	40	,	,	PUNCT
cana-4323	132	41	η	η	NOUN
cana-4323	132	42	):	):	PUNCT
cana-4323	132	43	θ	θ	PROPN
cana-4323	132	44	=	=	SYM
cana-4323	132	45	θ	θ	PROPN
cana-4323	132	46	η	η	PROPN
cana-4323	132	47	*	*	PUNCT
cana-4323	132	48	∇_θ	∇_θ	PROPN
cana-4323	132	49	l	l	PROPN
cana-4323	133	1	𝜃	𝜃	X
cana-4323	133	2	←	←	PROPN
cana-4323	133	3	𝜃	𝜃	NOUN
cana-4323	133	4	−	−	NOUN
cana-4323	133	5	𝜂	𝜂	NOUN
cana-4323	133	6	∙	∙	PROPN
cana-4323	133	7	∇𝜃ℒ	∇𝜃ℒ	NOUN
cana-4323	133	8	return	return	VERB
cana-4323	133	9	θ	θ	PROPN
cana-4323	133	10	2.6	2.6	NUM
cana-4323	133	11	training	training	NOUN
cana-4323	133	12	loop	loop	NOUN
cana-4323	133	13	initialize	initialize	NOUN
cana-4323	133	14	weights	weight	NOUN
cana-4323	133	15	:	:	PUNCT
cana-4323	133	16	w	w	NOUN
cana-4323	133	17	,	,	PUNCT
cana-4323	133	18	w0	w0	PROPN
cana-4323	133	19	,	,	PUNCT
cana-4323	133	20	wfc	wfc	PROPN
cana-4323	133	21	,	,	PUNCT
cana-4323	133	22	bfc	bfc	NOUN
cana-4323	133	23	for	for	ADP
cana-4323	133	24	each	each	DET
cana-4323	133	25	epoch	epoch	NOUN
cana-4323	133	26	in	in	ADP
cana-4323	133	27	num_epochs	num_epochs	NOUN
cana-4323	133	28	:	:	PUNCT
cana-4323	133	29	for	for	ADP
cana-4323	133	30	each	each	DET
cana-4323	133	31	batch	batch	NOUN
cana-4323	133	32	in	in	ADP
cana-4323	133	33	dataset	dataset	NOUN
cana-4323	133	34	:	:	PUNCT
cana-4323	133	35	h	h	PROPN
cana-4323	133	36	=	=	PUNCT
cana-4323	133	37	initialnodefeatures(batch	initialnodefeatures(batch	PROPN
cana-4323	133	38	)	)	PUNCT
cana-4323	134	1	a	a	DET
cana-4323	134	2	=	=	SYM
cana-4323	134	3	adjacencymatrix(batch	adjacencymatrix(batch	PROPN
cana-4323	134	4	)	)	PUNCT
cana-4323	134	5	h	h	NOUN
cana-4323	134	6	=	=	SYM
cana-4323	134	7	graphconvolutionlayer(h	graphconvolutionlayer(h	PROPN
cana-4323	134	8	,	,	PUNCT
cana-4323	134	9	a	a	DET
cana-4323	134	10	,	,	PUNCT
cana-4323	134	11	w	w	NOUN
cana-4323	134	12	,	,	PUNCT
cana-4323	134	13	w0	w0	PROPN
cana-4323	134	14	)	)	PUNCT
cana-4323	134	15	h_g	h_g	PART
cana-4323	134	16	=	=	SYM
cana-4323	134	17	poolinglayer(h	poolinglayer(h	PROPN
cana-4323	134	18	)	)	PUNCT
cana-4323	134	19	y_hat	y_hat	PROPN
cana-4323	135	1	=	=	SYM
cana-4323	135	2	fullyconnectedlayer(hg	fullyconnectedlayer(hg	PROPN
cana-4323	135	3	,	,	PUNCT
cana-4323	135	4	wfc	wfc	PROPN
cana-4323	135	5	,	,	PUNCT
cana-4323	135	6	bfc	bfc	NOUN
cana-4323	135	7	)	)	PUNCT
cana-4323	135	8	l	l	NOUN
cana-4323	136	1	=	=	PUNCT
cana-4323	136	2	crossentropyloss(y	crossentropyloss(y	PROPN
cana-4323	136	3	,	,	PUNCT
cana-4323	136	4	yhat	yhat	PROPN
cana-4323	136	5	)	)	PUNCT
cana-4323	136	6	hg	hg	NOUN
cana-4323	136	7	=	=	SYM
cana-4323	136	8	poolinglayer(h	poolinglayer(h	PROPN
cana-4323	136	9	)	)	PUNCT
cana-4323	137	1	yhat	yhat	NOUN
cana-4323	137	2	=	=	SYM
cana-4323	137	3	fullyconnectedlayer(hg	fullyconnectedlayer(hg	PROPN
cana-4323	137	4	,	,	PUNCT
cana-4323	137	5	wfc	wfc	PROPN
cana-4323	137	6	,	,	PUNCT
cana-4323	137	7	bfc	bfc	NOUN
cana-4323	137	8	)	)	PUNCT
cana-4323	137	9	l	l	NOUN
cana-4323	138	1	=	=	PUNCT
cana-4323	138	2	crossentropyloss(y	crossentropyloss(y	PROPN
cana-4323	138	3	,	,	PUNCT
cana-4323	138	4	yhat	yhat	PROPN
cana-4323	138	5	)	)	PUNCT
cana-4323	138	6	θ	θ	PROPN
cana-4323	138	7	=	=	SYM
cana-4323	138	8	optimization(l	optimization(l	PROPN
cana-4323	138	9	,	,	PUNCT
cana-4323	138	10	θ	θ	PROPN
cana-4323	138	11	,	,	PUNCT
cana-4323	138	12	η	η	NOUN
cana-4323	138	13	)	)	PUNCT
cana-4323	138	14	return	return	NOUN
cana-4323	138	15	trainedmodel(θ	trainedmodel(θ	NUM
cana-4323	138	16	)	)	PUNCT
cana-4323	138	17	result	result	NOUN
cana-4323	138	18	and	and	CCONJ
cana-4323	138	19	discussion	discussion	NOUN
cana-4323	138	20	when	when	SCONJ
cana-4323	138	21	it	it	PRON
cana-4323	138	22	comes	come	VERB
cana-4323	138	23	to	to	ADP
cana-4323	138	24	using	use	VERB
cana-4323	138	25	the	the	DET
cana-4323	138	26	python	python	NOUN
cana-4323	138	27	-	-	PUNCT
cana-4323	138	28	based	base	VERB
cana-4323	138	29	analysis	analysis	NOUN
cana-4323	138	30	for	for	ADP
cana-4323	138	31	the	the	DET
cana-4323	138	32	dataset	dataset	NOUN
cana-4323	138	33	with	with	ADP
cana-4323	138	34	2,431,025	2,431,025	NUM
cana-4323	138	35	chemical	chemical	NOUN
cana-4323	138	36	compounds	compound	NOUN
cana-4323	138	37	(	(	PUNCT
cana-4323	138	38	drug	drug	NOUN
cana-4323	138	39	details	detail	NOUN
cana-4323	138	40	)	)	PUNCT
cana-4323	138	41	,	,	PUNCT
cana-4323	138	42	the	the	DET
cana-4323	138	43	first	first	ADJ
cana-4323	138	44	step	step	NOUN
cana-4323	138	45	is	be	AUX
cana-4323	138	46	data	datum	NOUN
cana-4323	138	47	gathering	gather	VERB
cana-4323	138	48	from	from	ADP
cana-4323	138	49	the	the	DET
cana-4323	138	50	sources	source	NOUN
cana-4323	138	51	such	such	ADJ
cana-4323	138	52	as	as	ADP
cana-4323	138	53	chembl	chembl	NOUN
cana-4323	138	54	and	and	CCONJ
cana-4323	138	55	pubchem	pubchem	NOUN
cana-4323	138	56	,	,	PUNCT
cana-4323	138	57	and	and	CCONJ
cana-4323	138	58	the	the	DET
cana-4323	138	59	second	second	ADJ
cana-4323	138	60	step	step	NOUN
cana-4323	138	61	is	be	AUX
cana-4323	138	62	the	the	DET
cana-4323	138	63	thorough	thorough	ADJ
cana-4323	138	64	data	datum	NOUN
cana-4323	138	65	pre	pre	NOUN
cana-4323	138	66	-	-	ADJ
cana-4323	138	67	processing	processing	ADJ
cana-4323	138	68	to	to	PART
cana-4323	138	69	clean	clean	VERB
cana-4323	138	70	and	and	CCONJ
cana-4323	138	71	format	format	VERB
cana-4323	138	72	the	the	DET
cana-4323	138	73	dataset	dataset	NOUN
cana-4323	138	74	.	.	PUNCT
cana-4323	139	1	exploratory	exploratory	ADJ
cana-4323	139	2	data	datum	NOUN
cana-4323	139	3	analysis	analysis	NOUN
cana-4323	139	4	(	(	PUNCT
cana-4323	139	5	eda	eda	X
cana-4323	139	6	)	)	PUNCT
cana-4323	139	7	is	be	AUX
cana-4323	139	8	then	then	ADV
cana-4323	139	9	performed	perform	VERB
cana-4323	139	10	to	to	PART
cana-4323	139	11	identify	identify	VERB
cana-4323	139	12	the	the	DET
cana-4323	139	13	distributions	distribution	NOUN
cana-4323	139	14	and	and	CCONJ
cana-4323	139	15	patterns	pattern	NOUN
cana-4323	139	16	of	of	ADP
cana-4323	139	17	data	datum	NOUN
cana-4323	139	18	and	and	CCONJ
cana-4323	139	19	to	to	PART
cana-4323	139	20	guide	guide	VERB
cana-4323	139	21	the	the	DET
cana-4323	139	22	process	process	NOUN
cana-4323	139	23	of	of	ADP
cana-4323	139	24	extracting	extract	VERB
cana-4323	139	25	molecular	molecular	ADJ
cana-4323	139	26	descriptors	descriptor	NOUN
cana-4323	139	27	with	with	ADP
cana-4323	139	28	the	the	DET
cana-4323	139	29	help	help	NOUN
cana-4323	139	30	of	of	ADP
cana-4323	139	31	rdkit	rdkit	ADJ
cana-4323	139	32	or	or	CCONJ
cana-4323	139	33	open	open	ADJ
cana-4323	139	34	babel	babel	NOUN
cana-4323	139	35	.	.	PUNCT
cana-4323	140	1	the	the	DET
cana-4323	140	2	models	model	NOUN
cana-4323	140	3	using	use	VERB
cana-4323	140	4	tensorflow	tensorflow	NOUN
cana-4323	140	5	or	or	CCONJ
cana-4323	140	6	pytorch	pytorch	NOUN
cana-4323	140	7	are	be	AUX
cana-4323	140	8	trained	train	VERB
cana-4323	140	9	and	and	CCONJ
cana-4323	140	10	tested	test	VERB
cana-4323	140	11	using	use	VERB
cana-4323	140	12	the	the	DET
cana-4323	140	13	conventional	conventional	ADJ
cana-4323	140	14	60:20:20	60:20:20	NUM
cana-4323	140	15	division	division	NOUN
cana-4323	140	16	for	for	ADP
cana-4323	140	17	training	training	NOUN
cana-4323	140	18	,	,	PUNCT
cana-4323	140	19	testing	testing	NOUN
cana-4323	140	20	,	,	PUNCT
cana-4323	140	21	and	and	CCONJ
cana-4323	140	22	validation	validation	NOUN
cana-4323	140	23	datasets	dataset	NOUN
cana-4323	140	24	[	[	X
cana-4323	140	25	21	21	NUM
cana-4323	140	26	]	]	PUNCT
cana-4323	140	27	.	.	PUNCT
cana-4323	141	1	the	the	DET
cana-4323	141	2	model	model	NOUN
cana-4323	141	3	parameters	parameter	NOUN
cana-4323	141	4	are	be	AUX
cana-4323	141	5	as	as	SCONJ
cana-4323	141	6	follows	follow	VERB
cana-4323	141	7	:	:	PUNCT
cana-4323	141	8	4	4	NUM
cana-4323	141	9	classes	class	NOUN
cana-4323	141	10	,	,	PUNCT
cana-4323	141	11	batch	batch	NOUN
cana-4323	141	12	size	size	NOUN
cana-4323	141	13	of	of	ADP
cana-4323	141	14	128	128	NUM
cana-4323	141	15	,	,	PUNCT
cana-4323	141	16	communications	communication	NOUN
cana-4323	141	17	on	on	ADP
cana-4323	141	18	applied	apply	VERB
cana-4323	141	19	nonlinear	nonlinear	ADJ
cana-4323	141	20	analysis	analysis	NOUN
cana-4323	141	21	issn	issn	NOUN
cana-4323	141	22	:	:	PUNCT
cana-4323	141	23	1074	1074	NUM
cana-4323	141	24	-	-	PUNCT
cana-4323	141	25	133x	133x	NUM
cana-4323	141	26	vol	vol	NOUN
cana-4323	141	27	32	32	NUM
cana-4323	141	28	no	no	NOUN
cana-4323	141	29	.	.	NOUN
cana-4323	141	30	3	3	NUM
cana-4323	141	31	(	(	PUNCT
cana-4323	141	32	2025	2025	NUM
cana-4323	141	33	)	)	PUNCT
cana-4323	141	34	797	797	NUM
cana-4323	141	35	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-4323	141	36	hidden	hide	VERB
cana-4323	141	37	node	node	ADJ
cana-4323	141	38	count	count	NOUN
cana-4323	141	39	of	of	ADP
cana-4323	141	40	128	128	NUM
cana-4323	141	41	,	,	PUNCT
cana-4323	141	42	sequence	sequence	NOUN
cana-4323	141	43	length	length	NOUN
cana-4323	141	44	of	of	ADP
cana-4323	141	45	1	1	NUM
cana-4323	141	46	(	(	PUNCT
cana-4323	141	47	assuming	assume	VERB
cana-4323	141	48	single	single	ADJ
cana-4323	141	49	node	node	NOUN
cana-4323	141	50	features	feature	NOUN
cana-4323	141	51	per	per	ADP
cana-4323	141	52	sequence	sequence	NOUN
cana-4323	141	53	)	)	PUNCT
cana-4323	141	54	,	,	PUNCT
cana-4323	141	55	100	100	NUM
cana-4323	141	56	epochs	epoch	NOUN
cana-4323	141	57	,	,	PUNCT
cana-4323	141	58	optimizer	optimizer	NOUN
cana-4323	141	59	as	as	ADP
cana-4323	141	60	relu	relu	NOUN
cana-4323	141	61	graph	graph	NOUN
cana-4323	141	62	neural	neural	ADJ
cana-4323	141	63	network	network	NOUN
cana-4323	141	64	(	(	PUNCT
cana-4323	141	65	gnn	gnn	PROPN
cana-4323	141	66	)	)	PUNCT
cana-4323	141	67	,	,	PUNCT
cana-4323	141	68	cross	cross	ADJ
cana-4323	141	69	-	-	ADJ
cana-4323	141	70	entropy	entropy	ADJ
cana-4323	141	71	loss	loss	NOUN
cana-4323	141	72	function	function	NOUN
cana-4323	141	73	,	,	PUNCT
cana-4323	141	74	3	3	NUM
cana-4323	141	75	layers	layer	NOUN
cana-4323	141	76	,	,	PUNCT
cana-4323	141	77	learning	learn	VERB
cana-4323	141	78	rate	rate	NOUN
cana-4323	141	79	of	of	ADP
cana-4323	141	80	0.0011	0.0011	NUM
cana-4323	141	81	,	,	PUNCT
cana-4323	141	82	and	and	CCONJ
cana-4323	141	83	input	input	NOUN
cana-4323	141	84	node	node	ADJ
cana-4323	141	85	counts	count	NOUN
cana-4323	141	86	of	of	ADP
cana-4323	141	87	18	18	NUM
cana-4323	141	88	,	,	PUNCT
cana-4323	141	89	15	15	NUM
cana-4323	141	90	,	,	PUNCT
cana-4323	141	91	and	and	CCONJ
cana-4323	141	92	16	16	NUM
cana-4323	141	93	.	.	PUNCT
cana-4323	142	1	the	the	DET
cana-4323	142	2	experiments	experiment	NOUN
cana-4323	142	3	were	be	AUX
cana-4323	142	4	conducted	conduct	VERB
cana-4323	142	5	using	use	VERB
cana-4323	142	6	a	a	DET
cana-4323	142	7	cpu	cpu	NOUN
cana-4323	142	8	device	device	NOUN
cana-4323	142	9	.	.	PUNCT
cana-4323	143	1	the	the	DET
cana-4323	143	2	performance	performance	NOUN
cana-4323	143	3	of	of	ADP
cana-4323	143	4	the	the	DET
cana-4323	143	5	model	model	NOUN
cana-4323	143	6	is	be	AUX
cana-4323	143	7	evaluated	evaluate	VERB
cana-4323	143	8	using	use	VERB
cana-4323	143	9	various	various	ADJ
cana-4323	143	10	evaluation	evaluation	NOUN
cana-4323	143	11	metrics	metric	NOUN
cana-4323	143	12	on	on	ADP
cana-4323	143	13	the	the	DET
cana-4323	143	14	testing	testing	NOUN
cana-4323	143	15	and	and	CCONJ
cana-4323	143	16	validation	validation	NOUN
cana-4323	143	17	data	datum	NOUN
cana-4323	143	18	and	and	CCONJ
cana-4323	143	19	hyperparameter	hyperparameter	NOUN
cana-4323	143	20	tuning	tuning	NOUN
cana-4323	143	21	is	be	AUX
cana-4323	143	22	deployed	deploy	VERB
cana-4323	143	23	to	to	PART
cana-4323	143	24	increase	increase	VERB
cana-4323	143	25	the	the	DET
cana-4323	143	26	accuracy	accuracy	NOUN
cana-4323	143	27	and	and	CCONJ
cana-4323	143	28	reliability	reliability	NOUN
cana-4323	143	29	of	of	ADP
cana-4323	143	30	the	the	DET
cana-4323	143	31	model	model	NOUN
cana-4323	143	32	.	.	PUNCT
cana-4323	144	1	finally	finally	ADV
cana-4323	144	2	,	,	PUNCT
cana-4323	144	3	using	use	VERB
cana-4323	144	4	the	the	DET
cana-4323	144	5	trained	train	VERB
cana-4323	144	6	models	model	NOUN
cana-4323	144	7	helps	help	VERB
cana-4323	144	8	in	in	ADP
cana-4323	144	9	tasks	task	NOUN
cana-4323	144	10	like	like	ADP
cana-4323	144	11	predicting	predict	VERB
cana-4323	144	12	properties	property	NOUN
cana-4323	144	13	of	of	ADP
cana-4323	144	14	compounds	compound	NOUN
cana-4323	144	15	or	or	CCONJ
cana-4323	144	16	in	in	ADP
cana-4323	144	17	drug	drug	NOUN
cana-4323	144	18	discovery	discovery	NOUN
cana-4323	144	19	,	,	PUNCT
cana-4323	144	20	which	which	PRON
cana-4323	144	21	shows	show	VERB
cana-4323	144	22	the	the	DET
cana-4323	144	23	use	use	NOUN
cana-4323	144	24	of	of	ADP
cana-4323	144	25	python	python	NOUN
cana-4323	144	26	to	to	PART
cana-4323	144	27	deal	deal	VERB
cana-4323	144	28	and	and	CCONJ
cana-4323	144	29	analyze	analyze	VERB
cana-4323	144	30	big	big	ADJ
cana-4323	144	31	chemical	chemical	NOUN
cana-4323	144	32	data	datum	NOUN
cana-4323	144	33	for	for	ADP
cana-4323	144	34	pharma	pharma	NOUN
cana-4323	144	35	related	relate	VERB
cana-4323	144	36	research	research	NOUN
cana-4323	144	37	.	.	PUNCT
cana-4323	145	1	the	the	DET
cana-4323	145	2	proposed	propose	VERB
cana-4323	145	3	ced	ce	VERB
cana-4323	145	4	-	-	PUNCT
cana-4323	145	5	gnn	gnn	PROPN
cana-4323	145	6	is	be	AUX
cana-4323	145	7	compared	compare	VERB
cana-4323	145	8	with	with	ADP
cana-4323	145	9	existing	exist	VERB
cana-4323	145	10	techniques	technique	NOUN
cana-4323	145	11	namely	namely	ADV
cana-4323	145	12	1d	1d	NUM
cana-4323	145	13	-	-	PUNCT
cana-4323	145	14	cnn	cnn	NOUN
cana-4323	146	1	[	[	X
cana-4323	146	2	16	16	NUM
cana-4323	146	3	]	]	PUNCT
cana-4323	146	4	and	and	CCONJ
cana-4323	146	5	yolo	yolo	PRON
cana-4323	147	1	[	[	X
cana-4323	147	2	17	17	NUM
cana-4323	147	3	]	]	PUNCT
cana-4323	147	4	.	.	PUNCT
cana-4323	148	1	the	the	DET
cana-4323	148	2	performance	performance	NOUN
cana-4323	148	3	is	be	AUX
cana-4323	148	4	investigated	investigate	VERB
cana-4323	148	5	with	with	ADP
cana-4323	148	6	the	the	DET
cana-4323	148	7	assistance	assistance	NOUN
cana-4323	148	8	of	of	ADP
cana-4323	148	9	performance	performance	NOUN
cana-4323	148	10	metrics	metric	NOUN
cana-4323	148	11	namely	namely	ADV
cana-4323	148	12	accuracy	accuracy	NOUN
cana-4323	148	13	,	,	PUNCT
cana-4323	148	14	precision	precision	NOUN
cana-4323	148	15	,	,	PUNCT
cana-4323	148	16	and	and	CCONJ
cana-4323	148	17	f1	f1	NOUN
cana-4323	148	18	-	-	PUNCT
cana-4323	148	19	score	score	NOUN
cana-4323	148	20	.	.	PUNCT
cana-4323	149	1	accuracy	accuracy	NOUN
cana-4323	149	2	measures	measure	VERB
cana-4323	149	3	the	the	DET
cana-4323	149	4	proportion	proportion	NOUN
cana-4323	149	5	of	of	ADP
cana-4323	149	6	correct	correct	ADJ
cana-4323	149	7	predictions	prediction	NOUN
cana-4323	149	8	among	among	ADP
cana-4323	149	9	all	all	DET
cana-4323	149	10	predictions	prediction	NOUN
cana-4323	149	11	.	.	PUNCT
cana-4323	150	1	precision	precision	NOUN
cana-4323	150	2	is	be	AUX
cana-4323	150	3	the	the	DET
cana-4323	150	4	ratio	ratio	NOUN
cana-4323	150	5	of	of	ADP
cana-4323	150	6	true	true	ADJ
cana-4323	150	7	positive	positive	ADJ
cana-4323	150	8	predictions	prediction	NOUN
cana-4323	150	9	to	to	ADP
cana-4323	150	10	the	the	DET
cana-4323	150	11	total	total	ADJ
cana-4323	150	12	predicted	predict	VERB
cana-4323	150	13	positives	positive	NOUN
cana-4323	150	14	,	,	PUNCT
cana-4323	150	15	indicating	indicate	VERB
cana-4323	150	16	how	how	SCONJ
cana-4323	150	17	many	many	ADJ
cana-4323	150	18	selected	select	VERB
cana-4323	150	19	items	item	NOUN
cana-4323	150	20	are	be	AUX
cana-4323	150	21	relevant	relevant	ADJ
cana-4323	150	22	.	.	PUNCT
cana-4323	151	1	f1	f1	NOUN
cana-4323	151	2	-	-	PUNCT
cana-4323	151	3	score	score	NOUN
cana-4323	151	4	is	be	AUX
cana-4323	151	5	the	the	DET
cana-4323	151	6	harmonic	harmonic	ADJ
cana-4323	151	7	mean	mean	NOUN
cana-4323	151	8	of	of	ADP
cana-4323	151	9	precision	precision	NOUN
cana-4323	151	10	and	and	CCONJ
cana-4323	151	11	recall	recall	NOUN
cana-4323	151	12	,	,	PUNCT
cana-4323	151	13	balancing	balance	VERB
cana-4323	151	14	both	both	DET
cana-4323	151	15	metrics	metric	NOUN
cana-4323	151	16	for	for	ADP
cana-4323	151	17	overall	overall	ADJ
cana-4323	151	18	performance	performance	NOUN
cana-4323	151	19	assessment	assessment	NOUN
cana-4323	151	20	.	.	PUNCT
cana-4323	152	1	the	the	DET
cana-4323	152	2	input	input	NOUN
cana-4323	152	3	of	of	ADP
cana-4323	152	4	the	the	DET
cana-4323	152	5	original	original	ADJ
cana-4323	152	6	famotidine	famotidine	NOUN
cana-4323	152	7	image	image	NOUN
cana-4323	152	8	is	be	AUX
cana-4323	152	9	given	give	VERB
cana-4323	152	10	in	in	ADP
cana-4323	152	11	figure	figure	NOUN
cana-4323	152	12	2	2	NUM
cana-4323	152	13	,	,	PUNCT
cana-4323	152	14	ced	ce	VERB
cana-4323	152	15	is	be	AUX
cana-4323	152	16	given	give	VERB
cana-4323	152	17	in	in	ADP
cana-4323	152	18	figure	figure	NOUN
cana-4323	152	19	3	3	NUM
cana-4323	152	20	,	,	PUNCT
cana-4323	152	21	and	and	CCONJ
cana-4323	152	22	the	the	DET
cana-4323	152	23	morphological	morphological	ADJ
cana-4323	152	24	operation	operation	NOUN
cana-4323	152	25	is	be	AUX
cana-4323	152	26	given	give	VERB
cana-4323	152	27	in	in	ADP
cana-4323	152	28	figure	figure	NOUN
cana-4323	152	29	4	4	NUM
cana-4323	152	30	.	.	PUNCT
cana-4323	152	31	figure	figure	NOUN
cana-4323	152	32	2	2	NUM
cana-4323	152	33	.	.	PUNCT
cana-4323	152	34	input	input	NOUN
cana-4323	152	35	image	image	NOUN
cana-4323	152	36	in	in	ADP
cana-4323	152	37	diverse	diverse	ADJ
cana-4323	152	38	angles	angle	NOUN
cana-4323	152	39	the	the	DET
cana-4323	152	40	above	above	ADJ
cana-4323	152	41	figure	figure	NOUN
cana-4323	152	42	shows	show	VERB
cana-4323	152	43	the	the	DET
cana-4323	152	44	input	input	NOUN
cana-4323	152	45	image	image	NOUN
cana-4323	152	46	from	from	ADP
cana-4323	152	47	different	different	ADJ
cana-4323	152	48	angle	angle	NOUN
cana-4323	152	49	to	to	PART
cana-4323	152	50	give	give	VERB
cana-4323	152	51	an	an	DET
cana-4323	152	52	idea	idea	NOUN
cana-4323	152	53	about	about	ADP
cana-4323	152	54	the	the	DET
cana-4323	152	55	versatility	versatility	NOUN
cana-4323	152	56	of	of	ADP
cana-4323	152	57	the	the	DET
cana-4323	152	58	input	input	NOUN
cana-4323	152	59	image	image	NOUN
cana-4323	152	60	.	.	PUNCT
cana-4323	153	1	figure	figure	NOUN
cana-4323	153	2	3	3	NUM
cana-4323	153	3	.	.	NOUN
cana-4323	153	4	canny	canny	ADJ
cana-4323	153	5	edge	edge	NOUN
cana-4323	153	6	detector	detector	NOUN
cana-4323	153	7	of	of	ADP
cana-4323	153	8	famotidine	famotidine	NOUN
cana-4323	153	9	communications	communication	NOUN
cana-4323	153	10	on	on	ADP
cana-4323	153	11	applied	apply	VERB
cana-4323	153	12	nonlinear	nonlinear	ADJ
cana-4323	153	13	analysis	analysis	NOUN
cana-4323	153	14	issn	issn	NOUN
cana-4323	153	15	:	:	PUNCT
cana-4323	153	16	1074	1074	NUM
cana-4323	153	17	-	-	PUNCT
cana-4323	153	18	133x	133x	NUM
cana-4323	153	19	vol	vol	NOUN
cana-4323	153	20	32	32	NUM
cana-4323	153	21	no	no	NOUN
cana-4323	153	22	.	.	NOUN
cana-4323	153	23	3	3	NUM
cana-4323	153	24	(	(	PUNCT
cana-4323	153	25	2025	2025	NUM
cana-4323	153	26	)	)	PUNCT
cana-4323	153	27	798	798	NUM
cana-4323	153	28	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	153	29	in	in	ADP
cana-4323	153	30	figure	figure	NOUN
cana-4323	153	31	3	3	NUM
cana-4323	153	32	,	,	PUNCT
cana-4323	153	33	canny	canny	ADJ
cana-4323	153	34	edge	edge	NOUN
cana-4323	153	35	detection	detection	NOUN
cana-4323	153	36	technique	technique	NOUN
cana-4323	153	37	is	be	AUX
cana-4323	153	38	illustrated	illustrate	VERB
cana-4323	153	39	,	,	PUNCT
cana-4323	153	40	which	which	PRON
cana-4323	153	41	shows	show	VERB
cana-4323	153	42	that	that	SCONJ
cana-4323	153	43	canny	canny	ADJ
cana-4323	153	44	detects	detect	NOUN
cana-4323	153	45	edges	edge	VERB
cana-4323	153	46	sharply	sharply	ADV
cana-4323	153	47	and	and	CCONJ
cana-4323	153	48	accurately	accurately	ADV
cana-4323	153	49	in	in	ADP
cana-4323	153	50	the	the	DET
cana-4323	153	51	image	image	NOUN
cana-4323	153	52	.	.	PUNCT
cana-4323	154	1	figure	figure	NOUN
cana-4323	154	2	4	4	NUM
cana-4323	154	3	.	.	PUNCT
cana-4323	154	4	morphological	morphological	ADJ
cana-4323	154	5	operation	operation	NOUN
cana-4323	154	6	dilation	dilation	NOUN
cana-4323	154	7	and	and	CCONJ
cana-4323	154	8	erosion	erosion	NOUN
cana-4323	154	9	of	of	ADP
cana-4323	154	10	famotidine	famotidine	ADJ
cana-4323	154	11	figure	figure	NOUN
cana-4323	154	12	4	4	NUM
cana-4323	154	13	shows	show	VERB
cana-4323	154	14	the	the	DET
cana-4323	154	15	morphological	morphological	ADJ
cana-4323	154	16	operations	operation	NOUN
cana-4323	154	17	of	of	ADP
cana-4323	154	18	dilation	dilation	NOUN
cana-4323	154	19	and	and	CCONJ
cana-4323	154	20	erosion	erosion	NOUN
cana-4323	154	21	where	where	SCONJ
cana-4323	154	22	dilation	dilation	NOUN
cana-4323	154	23	increases	increase	VERB
cana-4323	154	24	the	the	DET
cana-4323	154	25	size	size	NOUN
cana-4323	154	26	of	of	ADP
cana-4323	154	27	the	the	DET
cana-4323	154	28	object	object	NOUN
cana-4323	154	29	boundary	boundary	NOUN
cana-4323	154	30	and	and	CCONJ
cana-4323	154	31	erosion	erosion	NOUN
cana-4323	154	32	decreases	decrease	VERB
cana-4323	154	33	it	it	PRON
cana-4323	154	34	,	,	PUNCT
cana-4323	154	35	which	which	PRON
cana-4323	154	36	gives	give	VERB
cana-4323	154	37	a	a	DET
cana-4323	154	38	better	well	ADJ
cana-4323	154	39	understanding	understanding	NOUN
cana-4323	154	40	of	of	ADP
cana-4323	154	41	spatial	spatial	ADJ
cana-4323	154	42	transformations	transformation	NOUN
cana-4323	154	43	for	for	ADP
cana-4323	154	44	feature	feature	NOUN
cana-4323	154	45	enhancement	enhancement	NOUN
cana-4323	154	46	and	and	CCONJ
cana-4323	154	47	extraction	extraction	NOUN
cana-4323	154	48	in	in	ADP
cana-4323	154	49	the	the	DET
cana-4323	154	50	field	field	NOUN
cana-4323	154	51	of	of	ADP
cana-4323	154	52	computer	computer	NOUN
cana-4323	154	53	vision	vision	NOUN
cana-4323	154	54	.	.	PUNCT
cana-4323	155	1	each	each	DET
cana-4323	155	2	figure	figure	NOUN
cana-4323	155	3	is	be	AUX
cana-4323	155	4	used	use	VERB
cana-4323	155	5	to	to	PART
cana-4323	155	6	demonstrate	demonstrate	VERB
cana-4323	155	7	various	various	ADJ
cana-4323	155	8	processes	process	NOUN
cana-4323	155	9	of	of	ADP
cana-4323	155	10	image	image	NOUN
cana-4323	155	11	manipulation	manipulation	NOUN
cana-4323	155	12	starting	start	VERB
cana-4323	155	13	from	from	ADP
cana-4323	155	14	the	the	DET
cana-4323	155	15	capture	capture	NOUN
cana-4323	155	16	of	of	ADP
cana-4323	155	17	the	the	DET
cana-4323	155	18	image	image	NOUN
cana-4323	155	19	to	to	ADP
cana-4323	155	20	the	the	DET
cana-4323	155	21	enhancement	enhancement	NOUN
cana-4323	155	22	of	of	ADP
cana-4323	155	23	edges	edge	NOUN
cana-4323	155	24	and	and	CCONJ
cana-4323	155	25	structural	structural	ADJ
cana-4323	155	26	changes	change	NOUN
cana-4323	155	27	.	.	PUNCT
cana-4323	156	1	table	table	NOUN
cana-4323	156	2	2	2	NUM
cana-4323	156	3	.	.	PUNCT
cana-4323	156	4	comparison	comparison	NOUN
cana-4323	156	5	of	of	ADP
cana-4323	156	6	accuracy	accuracy	NOUN
cana-4323	156	7	epoch	epoch	PROPN
cana-4323	156	8	1d	1d	PROPN
cana-4323	156	9	-	-	PUNCT
cana-4323	156	10	cnn	cnn	PROPN
cana-4323	156	11	yolo	yolo	PROPN
cana-4323	156	12	ced	ced	PROPN
cana-4323	156	13	-	-	PUNCT
cana-4323	156	14	gnn	gnn	PROPN
cana-4323	156	15	100	100	NUM
cana-4323	156	16	70.93	70.93	NUM
cana-4323	156	17	73.43	73.43	NUM
cana-4323	156	18	77.73	77.73	NUM
cana-4323	156	19	200	200	NUM
cana-4323	156	20	72.06	72.06	NUM
cana-4323	156	21	74.89	74.89	NUM
cana-4323	156	22	79.14	79.14	NUM
cana-4323	156	23	300	300	NUM
cana-4323	156	24	73.31	73.31	NUM
cana-4323	156	25	75.14	75.14	NUM
cana-4323	156	26	79.53	79.53	NUM
cana-4323	156	27	400	400	NUM
cana-4323	156	28	73.77	73.77	NUM
cana-4323	156	29	75.87	75.87	NUM
cana-4323	156	30	80.36	80.36	NUM
cana-4323	156	31	500	500	NUM
cana-4323	156	32	75.88	75.88	NUM
cana-4323	156	33	76.81	76.81	NUM
cana-4323	156	34	81.91	81.91	NUM
cana-4323	156	35	figure	figure	NOUN
cana-4323	156	36	5	5	NUM
cana-4323	156	37	.	.	PUNCT
cana-4323	156	38	comparison	comparison	NOUN
cana-4323	156	39	of	of	ADP
cana-4323	156	40	accuracy	accuracy	NOUN
cana-4323	156	41	communications	communication	NOUN
cana-4323	156	42	on	on	ADP
cana-4323	156	43	applied	apply	VERB
cana-4323	156	44	nonlinear	nonlinear	ADJ
cana-4323	156	45	analysis	analysis	NOUN
cana-4323	156	46	issn	issn	NOUN
cana-4323	156	47	:	:	PUNCT
cana-4323	156	48	1074	1074	NUM
cana-4323	156	49	-	-	PUNCT
cana-4323	156	50	133x	133x	NUM
cana-4323	156	51	vol	vol	NOUN
cana-4323	156	52	32	32	NUM
cana-4323	156	53	no	no	NOUN
cana-4323	156	54	.	.	NOUN
cana-4323	156	55	3	3	NUM
cana-4323	156	56	(	(	PUNCT
cana-4323	156	57	2025	2025	NUM
cana-4323	156	58	)	)	PUNCT
cana-4323	156	59	799	799	NUM
cana-4323	156	60	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	156	61	from	from	ADP
cana-4323	156	62	the	the	DET
cana-4323	156	63	table	table	NOUN
cana-4323	156	64	2	2	NUM
cana-4323	156	65	and	and	CCONJ
cana-4323	156	66	figure	figure	NOUN
cana-4323	156	67	5	5	NUM
cana-4323	156	68	,	,	PUNCT
cana-4323	156	69	it	it	PRON
cana-4323	156	70	was	be	AUX
cana-4323	156	71	observed	observe	VERB
cana-4323	156	72	that	that	SCONJ
cana-4323	156	73	ced	ced	PROPN
cana-4323	156	74	-	-	PUNCT
cana-4323	156	75	gnn	gnn	NOUN
cana-4323	156	76	achieved	achieve	VERB
cana-4323	156	77	higher	high	ADJ
cana-4323	156	78	accuracy	accuracy	NOUN
cana-4323	156	79	than	than	ADP
cana-4323	156	80	1dcnn	1dcnn	NUM
cana-4323	156	81	and	and	CCONJ
cana-4323	156	82	yolo	yolo	ADJ
cana-4323	156	83	in	in	ADP
cana-4323	156	84	all	all	DET
cana-4323	156	85	the	the	DET
cana-4323	156	86	epochs	epoch	NOUN
cana-4323	156	87	.	.	PUNCT
cana-4323	157	1	starting	start	VERB
cana-4323	157	2	from	from	ADP
cana-4323	157	3	77.73	77.73	NUM
cana-4323	157	4	%	%	NOUN
cana-4323	157	5	at	at	ADP
cana-4323	157	6	100	100	NUM
cana-4323	157	7	epochs	epoch	NOUN
cana-4323	157	8	,	,	PUNCT
cana-4323	157	9	and	and	CCONJ
cana-4323	157	10	which	which	PRON
cana-4323	157	11	demonstrates	demonstrate	VERB
cana-4323	157	12	a	a	DET
cana-4323	157	13	steady	steady	ADJ
cana-4323	157	14	increase	increase	NOUN
cana-4323	157	15	at	at	ADP
cana-4323	157	16	each	each	DET
cana-4323	157	17	epoch	epoch	NOUN
cana-4323	157	18	,	,	PUNCT
cana-4323	157	19	and	and	CCONJ
cana-4323	157	20	ended	end	VERB
cana-4323	157	21	at	at	ADP
cana-4323	157	22	81.91	81.91	NUM
cana-4323	157	23	%	%	NOUN
cana-4323	157	24	at	at	ADP
cana-4323	157	25	500	500	NUM
cana-4323	157	26	epochs	epoch	NOUN
cana-4323	157	27	.	.	PUNCT
cana-4323	158	1	the	the	DET
cana-4323	158	2	accuracy	accuracy	NOUN
cana-4323	158	3	of	of	ADP
cana-4323	158	4	yolo	yolo	PROPN
cana-4323	158	5	grows	grow	VERB
cana-4323	158	6	progressively	progressively	ADV
cana-4323	158	7	from	from	ADP
cana-4323	158	8	73.43	73.43	NUM
cana-4323	158	9	%	%	NOUN
cana-4323	158	10	to	to	ADP
cana-4323	158	11	76.81	76.81	NUM
cana-4323	158	12	%	%	NOUN
cana-4323	158	13	over	over	ADP
cana-4323	158	14	500	500	NUM
cana-4323	158	15	epochs	epoch	NOUN
cana-4323	158	16	.	.	PUNCT
cana-4323	159	1	on	on	ADP
cana-4323	159	2	the	the	DET
cana-4323	159	3	other	other	ADJ
cana-4323	159	4	hand	hand	NOUN
cana-4323	159	5	,	,	PUNCT
cana-4323	159	6	1d	1d	NUM
cana-4323	159	7	-	-	PUNCT
cana-4323	159	8	cnn	cnn	PROPN
cana-4323	159	9	has	have	VERB
cana-4323	159	10	the	the	DET
cana-4323	159	11	lowest	low	ADJ
cana-4323	159	12	accuracy	accuracy	NOUN
cana-4323	159	13	gain	gain	NOUN
cana-4323	159	14	that	that	PRON
cana-4323	159	15	begins	begin	VERB
cana-4323	159	16	at	at	ADP
cana-4323	159	17	70.93	70.93	NUM
cana-4323	159	18	%	%	NOUN
cana-4323	159	19	and	and	CCONJ
cana-4323	159	20	achieving	achieve	VERB
cana-4323	159	21	75.88	75.88	NUM
cana-4323	159	22	%	%	NOUN
cana-4323	159	23	at	at	ADP
cana-4323	159	24	500	500	NUM
cana-4323	159	25	epochs	epoch	NOUN
cana-4323	159	26	.	.	PUNCT
cana-4323	160	1	from	from	ADP
cana-4323	160	2	this	this	PRON
cana-4323	160	3	,	,	PUNCT
cana-4323	160	4	it	it	PRON
cana-4323	160	5	can	can	AUX
cana-4323	160	6	be	be	AUX
cana-4323	160	7	concluded	conclude	VERB
cana-4323	160	8	that	that	SCONJ
cana-4323	160	9	ced	ced	PROPN
cana-4323	160	10	-	-	PUNCT
cana-4323	160	11	gnn	gnn	PROPN
cana-4323	160	12	has	have	VERB
cana-4323	160	13	a	a	DET
cana-4323	160	14	better	well	ADJ
cana-4323	160	15	learning	learning	NOUN
cana-4323	160	16	capacity	capacity	NOUN
cana-4323	160	17	and	and	CCONJ
cana-4323	160	18	generalization	generalization	NOUN
cana-4323	160	19	performance	performance	NOUN
cana-4323	160	20	than	than	ADP
cana-4323	160	21	the	the	DET
cana-4323	160	22	other	other	ADJ
cana-4323	160	23	models	model	NOUN
cana-4323	160	24	.	.	PUNCT
cana-4323	161	1	table	table	NOUN
cana-4323	161	2	3	3	NUM
cana-4323	161	3	.	.	PUNCT
cana-4323	161	4	comparison	comparison	NOUN
cana-4323	161	5	of	of	ADP
cana-4323	161	6	precision	precision	NOUN
cana-4323	161	7	epoch	epoch	PROPN
cana-4323	161	8	1d	1d	PROPN
cana-4323	161	9	-	-	PUNCT
cana-4323	161	10	cnn	cnn	PROPN
cana-4323	161	11	yolo	yolo	PROPN
cana-4323	161	12	ced	ced	PROPN
cana-4323	161	13	-	-	PUNCT
cana-4323	161	14	gnn	gnn	PROPN
cana-4323	161	15	100	100	NUM
cana-4323	162	1	73.33	73.33	NUM
cana-4323	162	2	75.76	75.76	NUM
cana-4323	162	3	78.73	78.73	NUM
cana-4323	163	1	200	200	NUM
cana-4323	163	2	73.19	73.19	NUM
cana-4323	163	3	76.67	76.67	NUM
cana-4323	163	4	79.83	79.83	NUM
cana-4323	163	5	300	300	NUM
cana-4323	163	6	73.33	73.33	NUM
cana-4323	163	7	77.88	77.88	NUM
cana-4323	163	8	80.67	80.67	NUM
cana-4323	163	9	400	400	NUM
cana-4323	163	10	75.56	75.56	NUM
cana-4323	163	11	79.01	79.01	NUM
cana-4323	163	12	80.91	80.91	NUM
cana-4323	163	13	500	500	NUM
cana-4323	163	14	75.71	75.71	NUM
cana-4323	163	15	79.12	79.12	NUM
cana-4323	163	16	81.46	81.46	NUM
cana-4323	163	17	figure	figure	NOUN
cana-4323	163	18	6	6	NUM
cana-4323	163	19	.	.	PUNCT
cana-4323	163	20	comparison	comparison	NOUN
cana-4323	163	21	of	of	ADP
cana-4323	163	22	precision	precision	NOUN
cana-4323	163	23	table	table	NOUN
cana-4323	163	24	3	3	NUM
cana-4323	163	25	shows	show	VERB
cana-4323	163	26	the	the	DET
cana-4323	163	27	precision	precision	NOUN
cana-4323	163	28	metrics	metric	NOUN
cana-4323	163	29	and	and	CCONJ
cana-4323	163	30	figure	figure	VERB
cana-4323	163	31	6	6	NUM
cana-4323	163	32	represents	represent	VERB
cana-4323	163	33	the	the	DET
cana-4323	163	34	same	same	ADJ
cana-4323	163	35	.	.	PUNCT
cana-4323	164	1	ced	ced	PROPN
cana-4323	164	2	-	-	PUNCT
cana-4323	164	3	gnn	gnn	PROPN
cana-4323	164	4	is	be	AUX
cana-4323	164	5	always	always	ADV
cana-4323	164	6	higher	high	ADJ
cana-4323	164	7	than	than	ADP
cana-4323	164	8	the	the	DET
cana-4323	164	9	other	other	ADJ
cana-4323	164	10	models	model	NOUN
cana-4323	164	11	,	,	PUNCT
cana-4323	164	12	beginning	begin	VERB
cana-4323	164	13	at	at	ADP
cana-4323	164	14	78.73	78.73	NUM
cana-4323	164	15	%	%	NOUN
cana-4323	164	16	precision	precision	NOUN
cana-4323	164	17	after	after	ADP
cana-4323	164	18	100	100	NUM
cana-4323	164	19	epochs	epoch	NOUN
cana-4323	164	20	and	and	CCONJ
cana-4323	164	21	increasing	increase	VERB
cana-4323	164	22	up	up	ADV
cana-4323	164	23	to	to	ADP
cana-4323	164	24	81.46	81.46	NUM
cana-4323	164	25	%	%	NOUN
cana-4323	164	26	at	at	ADP
cana-4323	164	27	500	500	NUM
cana-4323	164	28	epochs	epoch	NOUN
cana-4323	164	29	.	.	PUNCT
cana-4323	165	1	in	in	ADP
cana-4323	165	2	the	the	DET
cana-4323	165	3	case	case	NOUN
cana-4323	165	4	of	of	ADP
cana-4323	165	5	yolo	yolo	PROPN
cana-4323	165	6	,	,	PUNCT
cana-4323	165	7	the	the	DET
cana-4323	165	8	values	value	NOUN
cana-4323	165	9	also	also	ADV
cana-4323	165	10	rise	rise	VERB
cana-4323	165	11	progressively	progressively	ADV
cana-4323	165	12	from	from	ADP
cana-4323	165	13	75.76	75.76	NUM
cana-4323	165	14	%	%	NOUN
cana-4323	165	15	to	to	ADP
cana-4323	165	16	79.12	79.12	NUM
cana-4323	165	17	%	%	NOUN
cana-4323	165	18	.	.	PUNCT
cana-4323	166	1	while	while	SCONJ
cana-4323	166	2	1d	1d	NUM
cana-4323	166	3	-	-	PUNCT
cana-4323	166	4	cnn	cnn	PROPN
cana-4323	166	5	starts	start	VERB
cana-4323	166	6	at	at	ADP
cana-4323	166	7	a	a	DET
cana-4323	166	8	similar	similar	ADJ
cana-4323	166	9	precision	precision	NOUN
cana-4323	166	10	of	of	ADP
cana-4323	166	11	73.33	73.33	NUM
cana-4323	166	12	%	%	NOUN
cana-4323	166	13	,	,	PUNCT
cana-4323	166	14	and	and	CCONJ
cana-4323	166	15	gets	get	VERB
cana-4323	166	16	better	well	ADJ
cana-4323	166	17	relatively	relatively	ADV
cana-4323	166	18	slower	slow	ADJ
cana-4323	166	19	,	,	PUNCT
cana-4323	166	20	attaining	attain	VERB
cana-4323	166	21	75.71	75.71	NUM
cana-4323	166	22	%	%	NOUN
cana-4323	166	23	by	by	ADP
cana-4323	166	24	500	500	NUM
cana-4323	166	25	epochs	epoch	NOUN
cana-4323	166	26	.	.	PUNCT
cana-4323	167	1	it	it	PRON
cana-4323	167	2	is	be	AUX
cana-4323	167	3	believed	believe	VERB
cana-4323	167	4	that	that	SCONJ
cana-4323	167	5	since	since	SCONJ
cana-4323	167	6	ced	ce	VERB
cana-4323	167	7	-	-	PUNCT
cana-4323	167	8	gnn	gnn	PROPN
cana-4323	167	9	has	have	VERB
cana-4323	167	10	a	a	DET
cana-4323	167	11	higher	high	ADJ
cana-4323	167	12	precision	precision	NOUN
cana-4323	167	13	,	,	PUNCT
cana-4323	167	14	it	it	PRON
cana-4323	167	15	can	can	AUX
cana-4323	167	16	reduce	reduce	VERB
cana-4323	167	17	false	false	ADJ
cana-4323	167	18	positive	positive	ADJ
cana-4323	167	19	rates	rate	NOUN
cana-4323	167	20	to	to	ADP
cana-4323	167	21	the	the	DET
cana-4323	167	22	barest	bare	ADJ
cana-4323	167	23	minimum	minimum	NOUN
cana-4323	167	24	.	.	PUNCT
cana-4323	167	25	table	table	NOUN
cana-4323	167	26	4	4	NUM
cana-4323	167	27	and	and	CCONJ
cana-4323	167	28	figure	figure	VERB
cana-4323	167	29	7	7	NUM
cana-4323	167	30	shows	show	VERB
cana-4323	167	31	the	the	DET
cana-4323	167	32	f1	f1	NOUN
cana-4323	167	33	-	-	PUNCT
cana-4323	167	34	scores	score	NOUN
cana-4323	167	35	that	that	PRON
cana-4323	167	36	is	be	AUX
cana-4323	167	37	the	the	DET
cana-4323	167	38	harmonic	harmonic	ADJ
cana-4323	167	39	mean	mean	NOUN
cana-4323	167	40	of	of	ADP
cana-4323	167	41	precision	precision	NOUN
cana-4323	167	42	and	and	CCONJ
cana-4323	167	43	recall	recall	NOUN
cana-4323	167	44	.	.	PUNCT
cana-4323	168	1	table	table	NOUN
cana-4323	168	2	4	4	NUM
cana-4323	168	3	.	.	PUNCT
cana-4323	169	1	comparison	comparison	NOUN
cana-4323	169	2	of	of	ADP
cana-4323	169	3	f1	f1	NOUN
cana-4323	169	4	-	-	PUNCT
cana-4323	169	5	score	score	NOUN
cana-4323	169	6	epoch	epoch	NOUN
cana-4323	169	7	1d	1d	NUM
cana-4323	169	8	-	-	PUNCT
cana-4323	169	9	cnn	cnn	PROPN
cana-4323	169	10	yolo	yolo	PROPN
cana-4323	169	11	ced	ced	PROPN
cana-4323	169	12	-	-	PUNCT
cana-4323	169	13	gnn	gnn	PROPN
cana-4323	169	14	100	100	NUM
cana-4323	169	15	77.13	77.13	NUM
cana-4323	169	16	75.9	75.9	NUM
cana-4323	169	17	78.67	78.67	NUM
cana-4323	169	18	200	200	NUM
cana-4323	169	19	77.36	77.36	NUM
cana-4323	169	20	76.45	76.45	NUM
cana-4323	169	21	79.09	79.09	NUM
cana-4323	169	22	300	300	NUM
cana-4323	169	23	78.9	78.9	NUM
cana-4323	169	24	76.76	76.76	NUM
cana-4323	169	25	79.88	79.88	NUM
cana-4323	169	26	400	400	NUM
cana-4323	169	27	79.06	79.06	NUM
cana-4323	169	28	77.1	77.1	NUM
cana-4323	169	29	80.98	80.98	NUM
cana-4323	169	30	500	500	NUM
cana-4323	169	31	79.6	79.6	NUM
cana-4323	169	32	78.65	78.65	NUM
cana-4323	169	33	82.99	82.99	NUM
cana-4323	169	34	communications	communication	NOUN
cana-4323	169	35	on	on	ADP
cana-4323	169	36	applied	apply	VERB
cana-4323	169	37	nonlinear	nonlinear	ADJ
cana-4323	169	38	analysis	analysis	NOUN
cana-4323	169	39	issn	issn	NOUN
cana-4323	169	40	:	:	PUNCT
cana-4323	169	41	1074	1074	NUM
cana-4323	169	42	-	-	PUNCT
cana-4323	169	43	133x	133x	NUM
cana-4323	169	44	vol	vol	NOUN
cana-4323	169	45	32	32	NUM
cana-4323	169	46	no	no	NOUN
cana-4323	169	47	.	.	NOUN
cana-4323	169	48	3	3	NUM
cana-4323	169	49	(	(	PUNCT
cana-4323	169	50	2025	2025	NUM
cana-4323	169	51	)	)	PUNCT
cana-4323	169	52	800	800	NUM
cana-4323	169	53	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	169	54	figure	figure	NOUN
cana-4323	169	55	7	7	NUM
cana-4323	169	56	.	.	PUNCT
cana-4323	169	57	comparison	comparison	NOUN
cana-4323	169	58	of	of	ADP
cana-4323	169	59	f1	f1	NOUN
cana-4323	169	60	-	-	PUNCT
cana-4323	169	61	score	score	NOUN
cana-4323	169	62	ced	ced	ADJ
cana-4323	169	63	-	-	PUNCT
cana-4323	169	64	gnn	gnn	NOUN
cana-4323	169	65	performs	perform	VERB
cana-4323	169	66	better	well	ADV
cana-4323	169	67	having	have	VERB
cana-4323	169	68	a	a	DET
cana-4323	169	69	starting	starting	NOUN
cana-4323	169	70	score	score	NOUN
cana-4323	169	71	of	of	ADP
cana-4323	169	72	78.67	78.67	NUM
cana-4323	169	73	%	%	NOUN
cana-4323	169	74	at	at	ADP
cana-4323	169	75	100	100	NUM
cana-4323	169	76	epochs	epoch	NOUN
cana-4323	169	77	,	,	PUNCT
cana-4323	169	78	it	it	PRON
cana-4323	169	79	rises	rise	VERB
cana-4323	169	80	to	to	ADP
cana-4323	169	81	82.99	82.99	NUM
cana-4323	169	82	%	%	NOUN
cana-4323	169	83	at	at	ADP
cana-4323	169	84	500	500	NUM
cana-4323	169	85	epochs	epoch	NOUN
cana-4323	169	86	.	.	PUNCT
cana-4323	170	1	yolo	yolo	PROPN
cana-4323	170	2	has	have	VERB
cana-4323	170	3	a	a	DET
cana-4323	170	4	very	very	ADV
cana-4323	170	5	similar	similar	ADJ
cana-4323	170	6	trend	trend	NOUN
cana-4323	170	7	and	and	CCONJ
cana-4323	170	8	gradually	gradually	ADV
cana-4323	170	9	increases	increase	VERB
cana-4323	170	10	from	from	ADP
cana-4323	170	11	75.9	75.9	NUM
cana-4323	170	12	%	%	NOUN
cana-4323	170	13	to	to	ADP
cana-4323	170	14	78.65	78.65	NUM
cana-4323	170	15	%	%	NOUN
cana-4323	170	16	.	.	PUNCT
cana-4323	171	1	1d	1d	NUM
cana-4323	171	2	-	-	PUNCT
cana-4323	171	3	cnn	cnn	PROPN
cana-4323	171	4	,	,	PUNCT
cana-4323	171	5	although	although	SCONJ
cana-4323	171	6	increasing	increase	VERB
cana-4323	171	7	from	from	ADP
cana-4323	171	8	77.13	77.13	NUM
cana-4323	171	9	%	%	NOUN
cana-4323	171	10	to	to	ADP
cana-4323	171	11	79.6	79.6	NUM
cana-4323	171	12	%	%	NOUN
cana-4323	171	13	is	be	AUX
cana-4323	171	14	still	still	ADV
cana-4323	171	15	lower	low	ADJ
cana-4323	171	16	than	than	ADP
cana-4323	171	17	the	the	DET
cana-4323	171	18	other	other	ADJ
cana-4323	171	19	models	model	NOUN
cana-4323	171	20	.	.	PUNCT
cana-4323	172	1	this	this	PRON
cana-4323	172	2	shows	show	VERB
cana-4323	172	3	that	that	SCONJ
cana-4323	172	4	cedgnn	cedgnn	NOUN
cana-4323	172	5	has	have	VERB
cana-4323	172	6	a	a	DET
cana-4323	172	7	better	well	ADJ
cana-4323	172	8	f1	f1	NOUN
cana-4323	172	9	-	-	PUNCT
cana-4323	172	10	score	score	NOUN
cana-4323	172	11	meaning	meaning	NOUN
cana-4323	172	12	it	it	PRON
cana-4323	172	13	has	have	VERB
cana-4323	172	14	a	a	DET
cana-4323	172	15	better	well	ADJ
cana-4323	172	16	balance	balance	NOUN
cana-4323	172	17	in	in	ADP
cana-4323	172	18	false	false	ADJ
cana-4323	172	19	positives	positive	NOUN
cana-4323	172	20	and	and	CCONJ
cana-4323	172	21	false	false	ADJ
cana-4323	172	22	negatives	negative	NOUN
cana-4323	172	23	as	as	ADP
cana-4323	172	24	compared	compare	VERB
cana-4323	172	25	to	to	ADP
cana-4323	172	26	the	the	DET
cana-4323	172	27	other	other	ADJ
cana-4323	172	28	models	model	NOUN
cana-4323	172	29	.	.	PUNCT
cana-4323	173	1	ced	ce	VERB
cana-4323	173	2	-	-	PUNCT
cana-4323	173	3	gnn	gnn	PROPN
cana-4323	173	4	proves	prove	VERB
cana-4323	173	5	to	to	PART
cana-4323	173	6	be	be	AUX
cana-4323	173	7	more	more	ADV
cana-4323	173	8	accurate	accurate	ADJ
cana-4323	173	9	,	,	PUNCT
cana-4323	173	10	precise	precise	ADJ
cana-4323	173	11	,	,	PUNCT
cana-4323	173	12	and	and	CCONJ
cana-4323	173	13	possess	possess	VERB
cana-4323	173	14	a	a	DET
cana-4323	173	15	higher	high	ADJ
cana-4323	173	16	f1	f1	NOUN
cana-4323	173	17	-	-	PUNCT
cana-4323	173	18	score	score	NOUN
cana-4323	173	19	than	than	ADP
cana-4323	173	20	1d	1d	NOUN
cana-4323	173	21	-	-	PUNCT
cana-4323	173	22	cnn	cnn	NOUN
cana-4323	173	23	and	and	CCONJ
cana-4323	173	24	yolo	yolo	ADJ
cana-4323	173	25	in	in	ADP
cana-4323	173	26	all	all	DET
cana-4323	173	27	epochs	epoch	NOUN
cana-4323	173	28	.	.	PUNCT
cana-4323	174	1	from	from	ADP
cana-4323	174	2	the	the	DET
cana-4323	174	3	results	result	NOUN
cana-4323	174	4	presented	present	VERB
cana-4323	174	5	above	above	ADV
cana-4323	174	6	,	,	PUNCT
cana-4323	174	7	it	it	PRON
cana-4323	174	8	is	be	AUX
cana-4323	174	9	possible	possible	ADJ
cana-4323	174	10	to	to	PART
cana-4323	174	11	observe	observe	VERB
cana-4323	174	12	the	the	DET
cana-4323	174	13	training	training	NOUN
cana-4323	174	14	process	process	NOUN
cana-4323	174	15	improvements	improvement	NOUN
cana-4323	174	16	,	,	PUNCT
cana-4323	174	17	which	which	PRON
cana-4323	174	18	prove	prove	VERB
cana-4323	174	19	better	well	ADJ
cana-4323	174	20	learning	learning	NOUN
cana-4323	174	21	and	and	CCONJ
cana-4323	174	22	generalization	generalization	NOUN
cana-4323	174	23	of	of	ADP
cana-4323	174	24	the	the	DET
cana-4323	174	25	superior	superior	ADJ
cana-4323	174	26	model	model	NOUN
cana-4323	174	27	.	.	PUNCT
cana-4323	175	1	yolo	yolo	PROPN
cana-4323	175	2	is	be	AUX
cana-4323	175	3	slightly	slightly	ADV
cana-4323	175	4	better	well	ADJ
cana-4323	175	5	than	than	ADP
cana-4323	175	6	1d	1d	NUM
cana-4323	175	7	-	-	PUNCT
cana-4323	175	8	cnn	cnn	NOUN
cana-4323	175	9	with	with	ADP
cana-4323	175	10	moderate	moderate	ADJ
cana-4323	175	11	improvement	improvement	NOUN
cana-4323	175	12	,	,	PUNCT
cana-4323	175	13	which	which	PRON
cana-4323	175	14	means	mean	VERB
cana-4323	175	15	that	that	SCONJ
cana-4323	175	16	it	it	PRON
cana-4323	175	17	is	be	AUX
cana-4323	175	18	reliable	reliable	ADJ
cana-4323	175	19	but	but	CCONJ
cana-4323	175	20	less	less	ADV
cana-4323	175	21	efficient	efficient	ADJ
cana-4323	175	22	than	than	ADP
cana-4323	175	23	ced	ced	ADJ
cana-4323	175	24	-	-	PUNCT
cana-4323	175	25	gnn	gnn	NOUN
cana-4323	175	26	.	.	PUNCT
cana-4323	176	1	1d	1d	PROPN
cana-4323	176	2	-	-	PUNCT
cana-4323	176	3	cnn	cnn	PROPN
cana-4323	176	4	,	,	PUNCT
cana-4323	176	5	as	as	ADV
cana-4323	176	6	much	much	ADV
cana-4323	176	7	as	as	SCONJ
cana-4323	176	8	it	it	PRON
cana-4323	176	9	has	have	AUX
cana-4323	176	10	been	be	AUX
cana-4323	176	11	improving	improve	VERB
cana-4323	176	12	gradually	gradually	ADV
cana-4323	176	13	,	,	PUNCT
cana-4323	176	14	is	be	AUX
cana-4323	176	15	the	the	DET
cana-4323	176	16	worst	worst	ADV
cana-4323	176	17	-	-	PUNCT
cana-4323	176	18	performing	perform	VERB
cana-4323	176	19	model	model	NOUN
cana-4323	176	20	of	of	ADP
cana-4323	176	21	the	the	DET
cana-4323	176	22	three	three	NUM
cana-4323	176	23	.	.	PUNCT
cana-4323	177	1	as	as	ADP
cana-4323	177	2	for	for	ADP
cana-4323	177	3	the	the	DET
cana-4323	177	4	results	result	NOUN
cana-4323	177	5	,	,	PUNCT
cana-4323	177	6	ced	ce	VERB
cana-4323	177	7	-	-	PUNCT
cana-4323	177	8	gnn	gnn	PROPN
cana-4323	177	9	is	be	AUX
cana-4323	177	10	shown	show	VERB
cana-4323	177	11	to	to	PART
cana-4323	177	12	be	be	AUX
cana-4323	177	13	the	the	DET
cana-4323	177	14	most	most	ADV
cana-4323	177	15	suitable	suitable	ADJ
cana-4323	177	16	for	for	ADP
cana-4323	177	17	tasks	task	NOUN
cana-4323	177	18	that	that	PRON
cana-4323	177	19	demand	demand	VERB
cana-4323	177	20	high	high	ADJ
cana-4323	177	21	accuracy	accuracy	NOUN
cana-4323	177	22	,	,	PUNCT
cana-4323	177	23	precision	precision	NOUN
cana-4323	177	24	,	,	PUNCT
cana-4323	177	25	and	and	CCONJ
cana-4323	177	26	equally	equally	ADV
cana-4323	177	27	important	important	ADJ
cana-4323	177	28	,	,	PUNCT
cana-4323	177	29	the	the	DET
cana-4323	177	30	balance	balance	NOUN
cana-4323	177	31	between	between	ADP
cana-4323	177	32	them	they	PRON
cana-4323	177	33	.	.	PUNCT
cana-4323	178	1	conclusion	conclusion	NOUN
cana-4323	178	2	in	in	ADP
cana-4323	178	3	this	this	DET
cana-4323	178	4	research	research	NOUN
cana-4323	178	5	article	article	NOUN
cana-4323	178	6	,	,	PUNCT
cana-4323	178	7	the	the	DET
cana-4323	178	8	authors	author	NOUN
cana-4323	178	9	present	present	VERB
cana-4323	178	10	the	the	DET
cana-4323	178	11	possibility	possibility	NOUN
cana-4323	178	12	of	of	ADP
cana-4323	178	13	using	use	VERB
cana-4323	178	14	graph	graph	NOUN
cana-4323	178	15	neural	neural	ADJ
cana-4323	178	16	networks	network	NOUN
cana-4323	178	17	(	(	PUNCT
cana-4323	178	18	gnns	gnns	NOUN
cana-4323	178	19	)	)	PUNCT
cana-4323	178	20	to	to	PART
cana-4323	178	21	address	address	VERB
cana-4323	178	22	the	the	DET
cana-4323	178	23	problem	problem	NOUN
cana-4323	178	24	of	of	ADP
cana-4323	178	25	counterfeit	counterfeit	ADJ
cana-4323	178	26	medicine	medicine	NOUN
cana-4323	178	27	classification	classification	NOUN
cana-4323	178	28	.	.	PUNCT
cana-4323	179	1	thus	thus	ADV
cana-4323	179	2	,	,	PUNCT
cana-4323	179	3	based	base	VERB
cana-4323	179	4	on	on	ADP
cana-4323	179	5	the	the	DET
cana-4323	179	6	structural	structural	ADJ
cana-4323	179	7	characteristics	characteristic	NOUN
cana-4323	179	8	of	of	ADP
cana-4323	179	9	chemical	chemical	ADJ
cana-4323	179	10	compounds	compound	NOUN
cana-4323	179	11	,	,	PUNCT
cana-4323	179	12	the	the	DET
cana-4323	179	13	proposed	propose	VERB
cana-4323	179	14	system	system	NOUN
cana-4323	179	15	should	should	AUX
cana-4323	179	16	provide	provide	VERB
cana-4323	179	17	higher	high	ADJ
cana-4323	179	18	accuracy	accuracy	NOUN
cana-4323	179	19	and	and	CCONJ
cana-4323	179	20	system	system	NOUN
cana-4323	179	21	reliability	reliability	NOUN
cana-4323	179	22	compared	compare	VERB
cana-4323	179	23	to	to	ADP
cana-4323	179	24	conventional	conventional	ADJ
cana-4323	179	25	approaches	approach	NOUN
cana-4323	179	26	.	.	PUNCT
cana-4323	180	1	at	at	ADP
cana-4323	180	2	the	the	DET
cana-4323	180	3	center	center	NOUN
cana-4323	180	4	of	of	ADP
cana-4323	180	5	this	this	DET
cana-4323	180	6	strategy	strategy	NOUN
cana-4323	180	7	is	be	AUX
cana-4323	180	8	graph	graph	NOUN
cana-4323	180	9	representation	representation	NOUN
cana-4323	180	10	which	which	PRON
cana-4323	180	11	uses	use	VERB
cana-4323	180	12	nodes	node	NOUN
cana-4323	180	13	to	to	PART
cana-4323	180	14	depict	depict	VERB
cana-4323	180	15	atoms	atom	NOUN
cana-4323	180	16	and	and	CCONJ
cana-4323	180	17	edges	edge	NOUN
cana-4323	180	18	to	to	PART
cana-4323	180	19	depict	depict	VERB
cana-4323	180	20	bonds	bond	NOUN
cana-4323	180	21	of	of	ADP
cana-4323	180	22	the	the	DET
cana-4323	180	23	chemical	chemical	NOUN
cana-4323	180	24	compounds	compound	NOUN
cana-4323	180	25	.	.	PUNCT
cana-4323	181	1	the	the	DET
cana-4323	181	2	gnns	gnn	NOUN
cana-4323	181	3	which	which	PRON
cana-4323	181	4	have	have	VERB
cana-4323	181	5	the	the	DET
cana-4323	181	6	capacity	capacity	NOUN
cana-4323	181	7	to	to	PART
cana-4323	181	8	process	process	VERB
cana-4323	181	9	graph	graph	NOUN
cana-4323	181	10	-	-	PUNCT
cana-4323	181	11	based	base	VERB
cana-4323	181	12	data	datum	NOUN
cana-4323	181	13	are	be	AUX
cana-4323	181	14	used	use	VERB
cana-4323	181	15	to	to	PART
cana-4323	181	16	capture	capture	VERB
cana-4323	181	17	the	the	DET
cana-4323	181	18	complex	complex	ADJ
cana-4323	181	19	structure	structure	NOUN
cana-4323	181	20	and	and	CCONJ
cana-4323	181	21	features	feature	NOUN
cana-4323	181	22	of	of	ADP
cana-4323	181	23	such	such	ADJ
cana-4323	181	24	graphs	graph	NOUN
cana-4323	181	25	.	.	PUNCT
cana-4323	182	1	such	such	DET
cana-4323	182	2	a	a	DET
cana-4323	182	3	representation	representation	NOUN
cana-4323	182	4	makes	make	VERB
cana-4323	182	5	it	it	PRON
cana-4323	182	6	possible	possible	ADJ
cana-4323	182	7	to	to	PART
cana-4323	182	8	distinguish	distinguish	VERB
cana-4323	182	9	the	the	DET
cana-4323	182	10	molecular	molecular	ADJ
cana-4323	182	11	features	feature	NOUN
cana-4323	182	12	that	that	PRON
cana-4323	182	13	define	define	VERB
cana-4323	182	14	genuine	genuine	ADJ
cana-4323	182	15	medicines	medicine	NOUN
cana-4323	182	16	from	from	ADP
cana-4323	182	17	counterfeit	counterfeit	ADJ
cana-4323	182	18	ones	one	NOUN
cana-4323	182	19	.	.	PUNCT
cana-4323	183	1	the	the	DET
cana-4323	183	2	experimental	experimental	ADJ
cana-4323	183	3	results	result	NOUN
cana-4323	183	4	show	show	VERB
cana-4323	183	5	that	that	SCONJ
cana-4323	183	6	the	the	DET
cana-4323	183	7	proposed	propose	VERB
cana-4323	183	8	gnn	gnn	NOUN
cana-4323	183	9	-	-	PUNCT
cana-4323	183	10	based	base	VERB
cana-4323	183	11	system	system	NOUN
cana-4323	183	12	is	be	AUX
cana-4323	183	13	better	well	ADJ
cana-4323	183	14	than	than	ADP
cana-4323	183	15	traditional	traditional	ADJ
cana-4323	183	16	machine	machine	NOUN
cana-4323	183	17	learning	learn	VERB
cana-4323	183	18	algorithms	algorithm	NOUN
cana-4323	183	19	in	in	ADP
cana-4323	183	20	accuracy	accuracy	NOUN
cana-4323	183	21	,	,	PUNCT
cana-4323	183	22	stability	stability	NOUN
cana-4323	183	23	and	and	CCONJ
cana-4323	183	24	scalability	scalability	NOUN
cana-4323	183	25	.	.	PUNCT
cana-4323	184	1	the	the	DET
cana-4323	184	2	model	model	NOUN
cana-4323	184	3	’s	’s	PART
cana-4323	184	4	capacity	capacity	NOUN
cana-4323	184	5	to	to	PART
cana-4323	184	6	generalize	generalize	VERB
cana-4323	184	7	across	across	ADP
cana-4323	184	8	different	different	ADJ
cana-4323	184	9	types	type	NOUN
cana-4323	184	10	of	of	ADP
cana-4323	184	11	medicines	medicine	NOUN
cana-4323	184	12	also	also	ADV
cana-4323	184	13	strengthens	strengthen	VERB
cana-4323	184	14	its	its	PRON
cana-4323	184	15	practical	practical	ADJ
cana-4323	184	16	applicability	applicability	NOUN
cana-4323	184	17	.	.	PUNCT
cana-4323	185	1	the	the	DET
cana-4323	185	2	application	application	NOUN
cana-4323	185	3	of	of	ADP
cana-4323	185	4	gnns	gnns	NOUN
cana-4323	185	5	in	in	ADP
cana-4323	185	6	counterfeit	counterfeit	ADJ
cana-4323	185	7	medicine	medicine	NOUN
cana-4323	185	8	classification	classification	NOUN
cana-4323	185	9	is	be	AUX
cana-4323	185	10	a	a	DET
cana-4323	185	11	promising	promising	ADJ
cana-4323	185	12	improvement	improvement	NOUN
cana-4323	185	13	.	.	PUNCT
cana-4323	186	1	in	in	ADP
cana-4323	186	2	addition	addition	NOUN
cana-4323	186	3	to	to	ADP
cana-4323	186	4	enhancing	enhance	VERB
cana-4323	186	5	the	the	DET
cana-4323	186	6	classification	classification	NOUN
cana-4323	186	7	performance	performance	NOUN
cana-4323	186	8	,	,	PUNCT
cana-4323	186	9	the	the	DET
cana-4323	186	10	structure	structure	NOUN
cana-4323	186	11	-	-	PUNCT
cana-4323	186	12	based	base	VERB
cana-4323	186	13	approach	approach	NOUN
cana-4323	186	14	also	also	ADV
cana-4323	186	15	provides	provide	VERB
cana-4323	186	16	a	a	DET
cana-4323	186	17	more	more	ADV
cana-4323	186	18	scalable	scalable	ADJ
cana-4323	186	19	and	and	CCONJ
cana-4323	186	20	modifiable	modifiable	ADJ
cana-4323	186	21	approach	approach	NOUN
cana-4323	186	22	to	to	PART
cana-4323	186	23	tackle	tackle	VERB
cana-4323	186	24	the	the	DET
cana-4323	186	25	problem	problem	NOUN
cana-4323	186	26	of	of	ADP
cana-4323	186	27	counterfeit	counterfeit	ADJ
cana-4323	186	28	medicines	medicine	NOUN
cana-4323	186	29	across	across	ADP
cana-4323	186	30	the	the	DET
cana-4323	186	31	world	world	NOUN
cana-4323	186	32	,	,	PUNCT
cana-4323	186	33	hence	hence	ADV
cana-4323	186	34	providing	provide	VERB
cana-4323	186	35	safer	safe	ADJ
cana-4323	186	36	health	health	NOUN
cana-4323	186	37	care	care	NOUN
cana-4323	186	38	solutions	solution	NOUN
cana-4323	186	39	.	.	PUNCT
cana-4323	187	1	the	the	DET
cana-4323	187	2	future	future	ADJ
cana-4323	187	3	work	work	NOUN
cana-4323	187	4	might	might	AUX
cana-4323	187	5	be	be	AUX
cana-4323	187	6	directed	direct	VERB
cana-4323	187	7	communications	communication	NOUN
cana-4323	187	8	on	on	ADP
cana-4323	187	9	applied	apply	VERB
cana-4323	187	10	nonlinear	nonlinear	ADJ
cana-4323	187	11	analysis	analysis	NOUN
cana-4323	187	12	issn	issn	NOUN
cana-4323	187	13	:	:	PUNCT
cana-4323	187	14	1074	1074	NUM
cana-4323	187	15	-	-	PUNCT
cana-4323	187	16	133x	133x	NUM
cana-4323	187	17	vol	vol	NOUN
cana-4323	187	18	32	32	NUM
cana-4323	187	19	no	no	NOUN
cana-4323	187	20	.	.	NOUN
cana-4323	187	21	3	3	NUM
cana-4323	187	22	(	(	PUNCT
cana-4323	187	23	2025	2025	NUM
cana-4323	187	24	)	)	PUNCT
cana-4323	187	25	801	801	NUM
cana-4323	187	26	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	187	27	towards	towards	ADP
cana-4323	187	28	the	the	DET
cana-4323	187	29	fine	fine	ADV
cana-4323	187	30	-	-	PUNCT
cana-4323	187	31	tuning	tuning	NOUN
cana-4323	187	32	of	of	ADP
cana-4323	187	33	the	the	DET
cana-4323	187	34	gnn	gnn	NOUN
cana-4323	187	35	structure	structure	NOUN
cana-4323	187	36	and	and	CCONJ
cana-4323	187	37	towards	towards	ADP
cana-4323	187	38	the	the	DET
cana-4323	187	39	investigation	investigation	NOUN
cana-4323	187	40	of	of	ADP
cana-4323	187	41	the	the	DET
cana-4323	187	42	possibility	possibility	NOUN
cana-4323	187	43	to	to	PART
cana-4323	187	44	combine	combine	VERB
cana-4323	187	45	it	it	PRON
cana-4323	187	46	with	with	ADP
cana-4323	187	47	other	other	ADJ
cana-4323	187	48	deep	deep	ADJ
cana-4323	187	49	learning	learning	NOUN
cana-4323	187	50	approaches	approach	NOUN
cana-4323	187	51	for	for	ADP
cana-4323	187	52	maximum	maximum	ADJ
cana-4323	187	53	accuracy	accuracy	NOUN
cana-4323	187	54	of	of	ADP
cana-4323	187	55	81.91	81.91	NUM
cana-4323	187	56	%	%	NOUN
cana-4323	187	57	reference	reference	NOUN
cana-4323	187	58	1	1	NUM
cana-4323	187	59	.	.	PUNCT
cana-4323	188	1	staszak	staszak	NOUN
cana-4323	188	2	,	,	PUNCT
cana-4323	188	3	m.	m.	NOUN
cana-4323	188	4	,	,	PUNCT
cana-4323	188	5	staszak	staszak	NOUN
cana-4323	188	6	,	,	PUNCT
cana-4323	188	7	k.	k.	PROPN
cana-4323	188	8	,	,	PUNCT
cana-4323	188	9	wieszczycka	wieszczycka	PROPN
cana-4323	188	10	,	,	PUNCT
cana-4323	188	11	k.	k.	PROPN
cana-4323	188	12	,	,	PUNCT
cana-4323	188	13	bajek	bajek	NOUN
cana-4323	188	14	,	,	PUNCT
cana-4323	188	15	a.	a.	NOUN
cana-4323	188	16	,	,	PUNCT
cana-4323	188	17	roszkowski	roszkowski	NOUN
cana-4323	188	18	,	,	PUNCT
cana-4323	188	19	k.	k.	PROPN
cana-4323	188	20	,	,	PUNCT
cana-4323	188	21	&	&	CCONJ
cana-4323	188	22	tylkowski	tylkowski	PROPN
cana-4323	188	23	,	,	PUNCT
cana-4323	188	24	b.	b.	PROPN
cana-4323	188	25	(	(	PUNCT
cana-4323	188	26	2022	2022	NUM
cana-4323	188	27	)	)	PUNCT
cana-4323	188	28	.	.	PUNCT
cana-4323	189	1	machine	machine	NOUN
cana-4323	189	2	learning	learn	VERB
cana-4323	189	3	in	in	ADP
cana-4323	189	4	drug	drug	NOUN
cana-4323	189	5	design	design	NOUN
cana-4323	189	6	:	:	PUNCT
cana-4323	189	7	use	use	NOUN
cana-4323	189	8	of	of	ADP
cana-4323	189	9	artificial	artificial	ADJ
cana-4323	189	10	intelligence	intelligence	NOUN
cana-4323	189	11	to	to	PART
cana-4323	189	12	explore	explore	VERB
cana-4323	189	13	the	the	DET
cana-4323	189	14	chemical	chemical	NOUN
cana-4323	189	15	structure	structure	NOUN
cana-4323	189	16	–	–	PUNCT
cana-4323	189	17	biological	biological	ADJ
cana-4323	189	18	activity	activity	NOUN
cana-4323	189	19	relationship	relationship	NOUN
cana-4323	189	20	.	.	PUNCT
cana-4323	190	1	wiley	wiley	PROPN
cana-4323	190	2	interdisciplinary	interdisciplinary	ADJ
cana-4323	190	3	reviews	review	NOUN
cana-4323	190	4	:	:	PUNCT
cana-4323	190	5	computational	computational	ADJ
cana-4323	190	6	molecular	molecular	ADJ
cana-4323	190	7	science	science	NOUN
cana-4323	190	8	,	,	PUNCT
cana-4323	190	9	12(2	12(2	NUM
cana-4323	190	10	)	)	PUNCT
cana-4323	190	11	,	,	PUNCT
cana-4323	190	12	e1568	e1568	NOUN
cana-4323	190	13	.	.	NOUN
cana-4323	191	1	2	2	NUM
cana-4323	191	2	.	.	X
cana-4323	191	3	chen	chen	PROPN
cana-4323	191	4	,	,	PUNCT
cana-4323	191	5	w.	w.	PROPN
cana-4323	191	6	,	,	PUNCT
cana-4323	191	7	liu	liu	PROPN
cana-4323	191	8	,	,	PUNCT
cana-4323	191	9	x.	x.	PROPN
cana-4323	191	10	,	,	PUNCT
cana-4323	191	11	zhang	zhang	PROPN
cana-4323	191	12	,	,	PUNCT
cana-4323	191	13	s.	s.	PROPN
cana-4323	191	14	,	,	PUNCT
cana-4323	191	15	&	&	CCONJ
cana-4323	191	16	chen	chen	PROPN
cana-4323	191	17	,	,	PUNCT
cana-4323	191	18	s.	s.	PROPN
cana-4323	191	19	(	(	PUNCT
cana-4323	191	20	2023	2023	NUM
cana-4323	191	21	)	)	PUNCT
cana-4323	191	22	.	.	PUNCT
cana-4323	192	1	artificial	artificial	ADJ
cana-4323	192	2	intelligence	intelligence	NOUN
cana-4323	192	3	for	for	ADP
cana-4323	192	4	drug	drug	NOUN
cana-4323	192	5	discovery	discovery	NOUN
cana-4323	192	6	:	:	PUNCT
cana-4323	192	7	resources	resource	NOUN
cana-4323	192	8	,	,	PUNCT
cana-4323	192	9	methods	method	NOUN
cana-4323	192	10	,	,	PUNCT
cana-4323	192	11	and	and	CCONJ
cana-4323	192	12	applications	application	NOUN
cana-4323	192	13	.	.	PUNCT
cana-4323	193	1	molecular	molecular	ADJ
cana-4323	193	2	therapy	therapy	NOUN
cana-4323	193	3	-	-	PUNCT
cana-4323	193	4	nucleic	nucleic	ADJ
cana-4323	193	5	acids	acid	NOUN
cana-4323	193	6	,	,	PUNCT
cana-4323	193	7	31	31	NUM
cana-4323	193	8	,	,	PUNCT
cana-4323	193	9	691	691	NUM
cana-4323	193	10	-	-	SYM
cana-4323	193	11	702	702	NUM
cana-4323	193	12	.	.	NOUN
cana-4323	194	1	3	3	NUM
cana-4323	194	2	.	.	X
cana-4323	194	3	huang	huang	PROPN
cana-4323	194	4	,	,	PUNCT
cana-4323	194	5	k.	k.	PROPN
cana-4323	194	6	,	,	PUNCT
cana-4323	194	7	xiao	xiao	PROPN
cana-4323	194	8	,	,	PUNCT
cana-4323	194	9	c.	c.	PROPN
cana-4323	194	10	,	,	PUNCT
cana-4323	194	11	hoang	hoang	PROPN
cana-4323	194	12	,	,	PUNCT
cana-4323	194	13	t.	t.	PROPN
cana-4323	194	14	,	,	PUNCT
cana-4323	194	15	glass	glass	NOUN
cana-4323	194	16	,	,	PUNCT
cana-4323	194	17	l.	l.	PROPN
cana-4323	194	18	,	,	PUNCT
cana-4323	194	19	&	&	CCONJ
cana-4323	194	20	sun	sun	PROPN
cana-4323	194	21	,	,	PUNCT
cana-4323	194	22	j.	j.	PROPN
cana-4323	194	23	(	(	PUNCT
cana-4323	194	24	2020	2020	NUM
cana-4323	194	25	,	,	PUNCT
cana-4323	194	26	april	april	PROPN
cana-4323	194	27	)	)	PUNCT
cana-4323	194	28	.	.	PUNCT
cana-4323	195	1	caster	caster	NOUN
cana-4323	195	2	:	:	PUNCT
cana-4323	195	3	predicting	predict	VERB
cana-4323	195	4	drug	drug	NOUN
cana-4323	195	5	interactions	interaction	NOUN
cana-4323	195	6	with	with	ADP
cana-4323	195	7	chemical	chemical	ADJ
cana-4323	195	8	substructure	substructure	NOUN
cana-4323	195	9	representation	representation	NOUN
cana-4323	195	10	.	.	PUNCT
cana-4323	196	1	in	in	ADP
cana-4323	196	2	proceedings	proceeding	NOUN
cana-4323	196	3	of	of	ADP
cana-4323	196	4	the	the	DET
cana-4323	196	5	aaai	aaai	PROPN
cana-4323	196	6	conference	conference	NOUN
cana-4323	196	7	on	on	ADP
cana-4323	196	8	artificial	artificial	ADJ
cana-4323	196	9	intelligence	intelligence	NOUN
cana-4323	196	10	(	(	PUNCT
cana-4323	196	11	vol	vol	NOUN
cana-4323	196	12	.	.	PROPN
cana-4323	196	13	34	34	NUM
cana-4323	196	14	,	,	PUNCT
cana-4323	196	15	no	no	INTJ
cana-4323	196	16	.	.	NOUN
cana-4323	196	17	01	01	NUM
cana-4323	196	18	,	,	PUNCT
cana-4323	196	19	pp	pp	ADJ
cana-4323	196	20	.	.	PUNCT
cana-4323	196	21	702	702	NUM
cana-4323	196	22	-	-	SYM
cana-4323	196	23	709	709	NUM
cana-4323	196	24	)	)	PUNCT
cana-4323	196	25	.	.	PUNCT
cana-4323	197	1	4	4	X
cana-4323	197	2	.	.	X
cana-4323	197	3	yang	yang	PROPN
cana-4323	197	4	,	,	PUNCT
cana-4323	197	5	h.	h.	PROPN
cana-4323	197	6	,	,	PUNCT
cana-4323	197	7	lou	lou	PROPN
cana-4323	197	8	,	,	PUNCT
cana-4323	197	9	c.	c.	PROPN
cana-4323	197	10	,	,	PUNCT
cana-4323	197	11	li	li	PROPN
cana-4323	197	12	,	,	PUNCT
cana-4323	197	13	w.	w.	PROPN
cana-4323	197	14	,	,	PUNCT
cana-4323	197	15	liu	liu	PROPN
cana-4323	197	16	,	,	PUNCT
cana-4323	197	17	g.	g.	PROPN
cana-4323	197	18	,	,	PUNCT
cana-4323	197	19	&	&	CCONJ
cana-4323	197	20	tang	tang	PROPN
cana-4323	197	21	,	,	PUNCT
cana-4323	197	22	y.	y.	PROPN
cana-4323	197	23	(	(	PUNCT
cana-4323	197	24	2020	2020	NUM
cana-4323	197	25	)	)	PUNCT
cana-4323	197	26	.	.	PUNCT
cana-4323	198	1	computational	computational	ADJ
cana-4323	198	2	approaches	approach	NOUN
cana-4323	198	3	to	to	PART
cana-4323	198	4	identify	identify	VERB
cana-4323	198	5	structural	structural	ADJ
cana-4323	198	6	alerts	alert	NOUN
cana-4323	198	7	and	and	CCONJ
cana-4323	198	8	their	their	PRON
cana-4323	198	9	applications	application	NOUN
cana-4323	198	10	in	in	ADP
cana-4323	198	11	environmental	environmental	ADJ
cana-4323	198	12	toxicology	toxicology	NOUN
cana-4323	198	13	and	and	CCONJ
cana-4323	198	14	drug	drug	NOUN
cana-4323	198	15	discovery	discovery	NOUN
cana-4323	198	16	.	.	PUNCT
cana-4323	199	1	chemical	chemical	ADJ
cana-4323	199	2	research	research	NOUN
cana-4323	199	3	in	in	ADP
cana-4323	199	4	toxicology	toxicology	NOUN
cana-4323	199	5	,	,	PUNCT
cana-4323	199	6	33(6	33(6	PROPN
cana-4323	199	7	)	)	PUNCT
cana-4323	199	8	,	,	PUNCT
cana-4323	199	9	1312	1312	NUM
cana-4323	199	10	-	-	SYM
cana-4323	199	11	1322	1322	NUM
cana-4323	199	12	.	.	PUNCT
cana-4323	200	1	5	5	NUM
cana-4323	200	2	.	.	X
cana-4323	200	3	cheruto	cheruto	NOUN
cana-4323	200	4	,	,	PUNCT
cana-4323	200	5	m.	m.	NOUN
cana-4323	200	6	(	(	PUNCT
cana-4323	200	7	2021	2021	NUM
cana-4323	200	8	)	)	PUNCT
cana-4323	200	9	.	.	PUNCT
cana-4323	201	1	analysis	analysis	NOUN
cana-4323	201	2	of	of	ADP
cana-4323	201	3	counterfeit	counterfeit	NOUN
cana-4323	201	4	-	-	PUNCT
cana-4323	201	5	drug	drug	NOUN
cana-4323	201	6	-	-	PUNCT
cana-4323	201	7	prevention	prevention	NOUN
cana-4323	201	8	strategies	strategy	NOUN
cana-4323	201	9	on	on	ADP
cana-4323	201	10	financial	financial	ADJ
cana-4323	201	11	performance	performance	NOUN
cana-4323	201	12	of	of	ADP
cana-4323	201	13	nairobi	nairobi	PROPN
cana-4323	201	14	’s	’s	PART
cana-4323	201	15	drug	drug	NOUN
cana-4323	201	16	retailing	retailing	NOUN
cana-4323	201	17	pharmacies	pharmacy	NOUN
cana-4323	201	18	(	(	PUNCT
cana-4323	201	19	doctoral	doctoral	ADJ
cana-4323	201	20	dissertation	dissertation	NOUN
cana-4323	201	21	,	,	PUNCT
cana-4323	201	22	strathmore	strathmore	PROPN
cana-4323	201	23	university	university	PROPN
cana-4323	201	24	)	)	PUNCT
cana-4323	201	25	.	.	PUNCT
cana-4323	202	1	6	6	X
cana-4323	202	2	.	.	X
cana-4323	202	3	saldívar	saldívar	NOUN
cana-4323	202	4	-	-	PUNCT
cana-4323	202	5	gonzález	gonzález	PROPN
cana-4323	202	6	,	,	PUNCT
cana-4323	202	7	f.	f.	PROPN
cana-4323	202	8	i.	i.	PROPN
cana-4323	202	9	,	,	PUNCT
cana-4323	202	10	aldas	aldas	PROPN
cana-4323	202	11	-	-	PUNCT
cana-4323	202	12	bulos	bulos	PROPN
cana-4323	202	13	,	,	PUNCT
cana-4323	202	14	v.	v.	PROPN
cana-4323	202	15	d.	d.	PROPN
cana-4323	202	16	,	,	PUNCT
cana-4323	202	17	medina	medina	PROPN
cana-4323	202	18	-	-	PUNCT
cana-4323	202	19	franco	franco	PROPN
cana-4323	202	20	,	,	PUNCT
cana-4323	202	21	j.	j.	PROPN
cana-4323	202	22	l.	l.	PROPN
cana-4323	202	23	,	,	PUNCT
cana-4323	202	24	&	&	CCONJ
cana-4323	202	25	plisson	plisson	PROPN
cana-4323	202	26	,	,	PUNCT
cana-4323	202	27	f.	f.	PROPN
cana-4323	202	28	(	(	PUNCT
cana-4323	202	29	2022	2022	NUM
cana-4323	202	30	)	)	PUNCT
cana-4323	202	31	.	.	PUNCT
cana-4323	203	1	natural	natural	ADJ
cana-4323	203	2	product	product	NOUN
cana-4323	203	3	drug	drug	NOUN
cana-4323	203	4	discovery	discovery	NOUN
cana-4323	203	5	in	in	ADP
cana-4323	203	6	the	the	DET
cana-4323	203	7	artificial	artificial	ADJ
cana-4323	203	8	intelligence	intelligence	NOUN
cana-4323	203	9	era	era	NOUN
cana-4323	203	10	.	.	PUNCT
cana-4323	204	1	chemical	chemical	NOUN
cana-4323	204	2	science	science	PROPN
cana-4323	204	3	,	,	PUNCT
cana-4323	204	4	13(6	13(6	PROPN
cana-4323	204	5	)	)	PUNCT
cana-4323	204	6	,	,	PUNCT
cana-4323	204	7	1526	1526	NUM
cana-4323	204	8	-	-	SYM
cana-4323	204	9	1546	1546	NUM
cana-4323	204	10	.	.	PUNCT
cana-4323	205	1	7	7	X
cana-4323	205	2	.	.	X
cana-4323	205	3	chen	chen	PROPN
cana-4323	205	4	,	,	PUNCT
cana-4323	205	5	y.	y.	PROPN
cana-4323	205	6	,	,	PUNCT
cana-4323	205	7	&	&	CCONJ
cana-4323	205	8	kirchmair	kirchmair	PROPN
cana-4323	205	9	,	,	PUNCT
cana-4323	205	10	j.	j.	PROPN
cana-4323	205	11	(	(	PUNCT
cana-4323	205	12	2020	2020	NUM
cana-4323	205	13	)	)	PUNCT
cana-4323	205	14	.	.	PUNCT
cana-4323	206	1	cheminformatics	cheminformatic	NOUN
cana-4323	206	2	in	in	ADP
cana-4323	206	3	natural	natural	ADJ
cana-4323	206	4	product‐based	product‐base	VERB
cana-4323	206	5	drug	drug	NOUN
cana-4323	206	6	discovery	discovery	NOUN
cana-4323	206	7	.	.	PUNCT
cana-4323	207	1	molecular	molecular	ADJ
cana-4323	207	2	informatics	informatic	NOUN
cana-4323	207	3	,	,	PUNCT
cana-4323	207	4	39(12	39(12	NUM
cana-4323	207	5	)	)	PUNCT
cana-4323	207	6	,	,	PUNCT
cana-4323	207	7	2000171	2000171	NUM
cana-4323	207	8	.	.	PUNCT
cana-4323	208	1	8	8	X
cana-4323	208	2	.	.	X
cana-4323	208	3	nayarisseri	nayarisseri	PROPN
cana-4323	208	4	,	,	PUNCT
cana-4323	208	5	a.	a.	PROPN
cana-4323	208	6	,	,	PUNCT
cana-4323	208	7	khandelwal	khandelwal	PROPN
cana-4323	208	8	,	,	PUNCT
cana-4323	208	9	r.	r.	PROPN
cana-4323	208	10	,	,	PUNCT
cana-4323	208	11	tanwar	tanwar	PROPN
cana-4323	208	12	,	,	PUNCT
cana-4323	208	13	p.	p.	PROPN
cana-4323	208	14	,	,	PUNCT
cana-4323	208	15	madhavi	madhavi	PROPN
cana-4323	208	16	,	,	PUNCT
cana-4323	208	17	m.	m.	NOUN
cana-4323	208	18	,	,	PUNCT
cana-4323	208	19	sharma	sharma	PROPN
cana-4323	208	20	,	,	PUNCT
cana-4323	208	21	d.	d.	PROPN
cana-4323	208	22	,	,	PUNCT
cana-4323	208	23	thakur	thakur	PROPN
cana-4323	208	24	,	,	PUNCT
cana-4323	208	25	g.	g.	PROPN
cana-4323	208	26	,	,	PUNCT
cana-4323	208	27	...	...	PUNCT
cana-4323	208	28	&	&	CCONJ
cana-4323	208	29	singh	singh	PROPN
cana-4323	208	30	,	,	PUNCT
cana-4323	208	31	s.	s.	PROPN
cana-4323	208	32	k.	k.	PROPN
cana-4323	208	33	(	(	PUNCT
cana-4323	208	34	2021	2021	NUM
cana-4323	208	35	)	)	PUNCT
cana-4323	208	36	.	.	PUNCT
cana-4323	209	1	artificial	artificial	ADJ
cana-4323	209	2	intelligence	intelligence	NOUN
cana-4323	209	3	,	,	PUNCT
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cana-4323	209	8	learning	learning	NOUN
cana-4323	209	9	approaches	approach	NOUN
cana-4323	209	10	in	in	ADP
cana-4323	209	11	precision	precision	NOUN
cana-4323	209	12	medicine	medicine	NOUN
cana-4323	209	13	&	&	CCONJ
cana-4323	209	14	drug	drug	PROPN
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cana-4323	210	1	current	current	ADJ
cana-4323	210	2	drug	drug	NOUN
cana-4323	210	3	targets	target	NOUN
cana-4323	210	4	,	,	PUNCT
cana-4323	210	5	22(6	22(6	NUM
cana-4323	210	6	)	)	PUNCT
cana-4323	210	7	,	,	PUNCT
cana-4323	210	8	631	631	NUM
cana-4323	210	9	-	-	SYM
cana-4323	210	10	655	655	NUM
cana-4323	210	11	.	.	PUNCT
cana-4323	211	1	9	9	NUM
cana-4323	211	2	.	.	X
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cana-4323	211	4	santín	santín	NOUN
cana-4323	211	5	,	,	PUNCT
cana-4323	211	6	e.	e.	PROPN
cana-4323	211	7	,	,	PUNCT
cana-4323	211	8	rodríguez	rodríguez	PROPN
cana-4323	211	9	solana	solana	PROPN
cana-4323	211	10	,	,	PUNCT
cana-4323	211	11	r.	r.	PROPN
cana-4323	211	12	,	,	PUNCT
cana-4323	211	13	gonzález	gonzález	PROPN
cana-4323	211	14	garcía	garcía	PROPN
cana-4323	211	15	,	,	PUNCT
cana-4323	211	16	m.	m.	NOUN
cana-4323	211	17	,	,	PUNCT
cana-4323	211	18	garcía	garcía	ADJ
cana-4323	211	19	suárez	suárez	NOUN
cana-4323	211	20	,	,	PUNCT
cana-4323	211	21	m.	m.	NOUN
cana-4323	211	22	d.	d.	PROPN
cana-4323	211	23	m.	m.	PROPN
cana-4323	211	24	,	,	PUNCT
cana-4323	211	25	blanco	blanco	PROPN
cana-4323	211	26	díaz	díaz	PROPN
cana-4323	211	27	,	,	PUNCT
cana-4323	211	28	g.	g.	PROPN
cana-4323	211	29	d.	d.	PROPN
cana-4323	211	30	,	,	PUNCT
cana-4323	211	31	cima	cima	PROPN
cana-4323	211	32	cabal	cabal	PROPN
cana-4323	211	33	,	,	PUNCT
cana-4323	211	34	m.	m.	NOUN
cana-4323	211	35	d.	d.	PROPN
cana-4323	211	36	,	,	PUNCT
cana-4323	211	37	...	...	PUNCT
cana-4323	211	38	&	&	CCONJ
cana-4323	211	39	lópez	lópez	PROPN
cana-4323	211	40	sánchez	sánchez	PROPN
cana-4323	211	41	,	,	PUNCT
cana-4323	211	42	j.	j.	PROPN
cana-4323	211	43	i.	i.	PROPN
cana-4323	211	44	(	(	PUNCT
cana-4323	211	45	2021	2021	NUM
cana-4323	211	46	)	)	PUNCT
cana-4323	211	47	.	.	PUNCT
cana-4323	212	1	toxicity	toxicity	NOUN
cana-4323	212	2	prediction	prediction	NOUN
cana-4323	212	3	based	base	VERB
cana-4323	212	4	on	on	ADP
cana-4323	212	5	artificial	artificial	ADJ
cana-4323	212	6	intelligence	intelligence	NOUN
cana-4323	212	7	:	:	PUNCT
cana-4323	212	8	a	a	DET
cana-4323	212	9	multidisciplinary	multidisciplinary	ADJ
cana-4323	212	10	overview	overview	NOUN
cana-4323	212	11	.	.	PUNCT
cana-4323	213	1	wiley	wiley	PROPN
cana-4323	213	2	interdisciplinary	interdisciplinary	ADJ
cana-4323	213	3	reviews	review	NOUN
cana-4323	213	4	:	:	PUNCT
cana-4323	213	5	computational	computational	ADJ
cana-4323	213	6	molecular	molecular	ADJ
cana-4323	213	7	science	science	NOUN
cana-4323	213	8	,	,	PUNCT
cana-4323	213	9	11(5	11(5	NUM
cana-4323	213	10	)	)	PUNCT
cana-4323	213	11	,	,	PUNCT
cana-4323	213	12	e1516	e1516	PROPN
cana-4323	213	13	.	.	PROPN
cana-4323	213	14	10	10	NUM
cana-4323	213	15	.	.	PUNCT
cana-4323	214	1	elbadawi	elbadawi	PROPN
cana-4323	214	2	,	,	PUNCT
cana-4323	214	3	m.	m.	NOUN
cana-4323	214	4	,	,	PUNCT
cana-4323	214	5	mccoubrey	mccoubrey	PROPN
cana-4323	214	6	,	,	PUNCT
cana-4323	214	7	l.	l.	PROPN
cana-4323	214	8	e.	e.	PROPN
cana-4323	214	9	,	,	PUNCT
cana-4323	214	10	gavins	gavins	PROPN
cana-4323	214	11	,	,	PUNCT
cana-4323	214	12	f.	f.	PROPN
cana-4323	214	13	k.	k.	PROPN
cana-4323	214	14	,	,	PUNCT
cana-4323	214	15	ong	ong	PROPN
cana-4323	214	16	,	,	PUNCT
cana-4323	214	17	j.	j.	PROPN
cana-4323	214	18	j.	j.	PROPN
cana-4323	214	19	,	,	PUNCT
cana-4323	214	20	goyanes	goyanes	PROPN
cana-4323	214	21	,	,	PUNCT
cana-4323	214	22	a.	a.	NOUN
cana-4323	214	23	,	,	PUNCT
cana-4323	214	24	gaisford	gaisford	NOUN
cana-4323	214	25	,	,	PUNCT
cana-4323	214	26	s.	s.	PROPN
cana-4323	214	27	,	,	PUNCT
cana-4323	214	28	&	&	CCONJ
cana-4323	214	29	basit	basit	PROPN
cana-4323	214	30	,	,	PUNCT
cana-4323	214	31	a.	a.	PROPN
cana-4323	214	32	w.	w.	PROPN
cana-4323	214	33	(	(	PUNCT
cana-4323	214	34	2021	2021	NUM
cana-4323	214	35	)	)	PUNCT
cana-4323	214	36	.	.	PUNCT
cana-4323	215	1	harnessing	harness	VERB
cana-4323	215	2	artificial	artificial	ADJ
cana-4323	215	3	intelligence	intelligence	NOUN
cana-4323	215	4	for	for	ADP
cana-4323	215	5	the	the	DET
cana-4323	215	6	next	next	ADJ
cana-4323	215	7	generation	generation	NOUN
cana-4323	215	8	of	of	ADP
cana-4323	215	9	3d	3d	NUM
cana-4323	215	10	printed	print	VERB
cana-4323	215	11	medicines	medicine	NOUN
cana-4323	215	12	.	.	PUNCT
cana-4323	216	1	advanced	advanced	ADJ
cana-4323	216	2	drug	drug	NOUN
cana-4323	216	3	delivery	delivery	NOUN
cana-4323	216	4	reviews	review	NOUN
cana-4323	216	5	,	,	PUNCT
cana-4323	216	6	175	175	NUM
cana-4323	216	7	,	,	PUNCT
cana-4323	216	8	113805	113805	NUM
cana-4323	216	9	.	.	PUNCT
cana-4323	217	1	11	11	NUM
cana-4323	217	2	.	.	X
cana-4323	218	1	wang	wang	PROPN
cana-4323	218	2	,	,	PUNCT
cana-4323	218	3	d.	d.	PROPN
cana-4323	218	4	,	,	PUNCT
cana-4323	218	5	liu	liu	PROPN
cana-4323	218	6	,	,	PUNCT
cana-4323	218	7	w.	w.	PROPN
cana-4323	218	8	,	,	PUNCT
cana-4323	218	9	shen	shen	PROPN
cana-4323	218	10	,	,	PUNCT
cana-4323	218	11	z.	z.	PROPN
cana-4323	218	12	,	,	PUNCT
cana-4323	218	13	jiang	jiang	PROPN
cana-4323	218	14	,	,	PUNCT
cana-4323	218	15	l.	l.	PROPN
cana-4323	218	16	,	,	PUNCT
cana-4323	218	17	wang	wang	PROPN
cana-4323	218	18	,	,	PUNCT
cana-4323	218	19	j.	j.	PROPN
cana-4323	218	20	,	,	PUNCT
cana-4323	218	21	li	li	PROPN
cana-4323	218	22	,	,	PUNCT
cana-4323	218	23	s.	s.	PROPN
cana-4323	218	24	,	,	PUNCT
cana-4323	218	25	&	&	CCONJ
cana-4323	218	26	li	li	PROPN
cana-4323	218	27	,	,	PUNCT
cana-4323	218	28	h.	h.	PROPN
cana-4323	218	29	(	(	PUNCT
cana-4323	218	30	2020	2020	NUM
cana-4323	218	31	)	)	PUNCT
cana-4323	218	32	.	.	PUNCT
cana-4323	219	1	deep	deep	ADJ
cana-4323	219	2	learning	learning	NOUN
cana-4323	219	3	based	base	VERB
cana-4323	219	4	drug	drug	NOUN
cana-4323	219	5	metabolites	metabolite	NOUN
cana-4323	219	6	prediction	prediction	NOUN
cana-4323	219	7	.	.	PUNCT
cana-4323	220	1	frontiers	frontier	NOUN
cana-4323	220	2	in	in	ADP
cana-4323	220	3	pharmacology	pharmacology	NOUN
cana-4323	220	4	,	,	PUNCT
cana-4323	220	5	10	10	NUM
cana-4323	220	6	,	,	PUNCT
cana-4323	220	7	1586	1586	NUM
cana-4323	220	8	.	.	PUNCT
cana-4323	221	1	12	12	NUM
cana-4323	221	2	.	.	PUNCT
cana-4323	222	1	staszak	staszak	NOUN
cana-4323	222	2	,	,	PUNCT
cana-4323	222	3	m.	m.	NOUN
cana-4323	222	4	,	,	PUNCT
cana-4323	222	5	staszak	staszak	NOUN
cana-4323	222	6	,	,	PUNCT
cana-4323	222	7	k.	k.	PROPN
cana-4323	222	8	,	,	PUNCT
cana-4323	222	9	wieszczycka	wieszczycka	PROPN
cana-4323	222	10	,	,	PUNCT
cana-4323	222	11	k.	k.	PROPN
cana-4323	222	12	,	,	PUNCT
cana-4323	222	13	bajek	bajek	NOUN
cana-4323	222	14	,	,	PUNCT
cana-4323	222	15	a.	a.	NOUN
cana-4323	222	16	,	,	PUNCT
cana-4323	222	17	roszkowski	roszkowski	NOUN
cana-4323	222	18	,	,	PUNCT
cana-4323	222	19	k.	k.	PROPN
cana-4323	222	20	,	,	PUNCT
cana-4323	222	21	&	&	CCONJ
cana-4323	222	22	tylkowski	tylkowski	PROPN
cana-4323	222	23	,	,	PUNCT
cana-4323	222	24	b.	b.	PROPN
cana-4323	222	25	(	(	PUNCT
cana-4323	222	26	2022	2022	NUM
cana-4323	222	27	)	)	PUNCT
cana-4323	222	28	.	.	PUNCT
cana-4323	223	1	machine	machine	NOUN
cana-4323	223	2	learning	learn	VERB
cana-4323	223	3	in	in	ADP
cana-4323	223	4	drug	drug	NOUN
cana-4323	223	5	design	design	NOUN
cana-4323	223	6	:	:	PUNCT
cana-4323	223	7	use	use	NOUN
cana-4323	223	8	of	of	ADP
cana-4323	223	9	artificial	artificial	ADJ
cana-4323	223	10	intelligence	intelligence	NOUN
cana-4323	223	11	to	to	PART
cana-4323	223	12	explore	explore	VERB
cana-4323	223	13	the	the	DET
cana-4323	223	14	chemical	chemical	NOUN
cana-4323	223	15	structure	structure	NOUN
cana-4323	223	16	–	–	PUNCT
cana-4323	223	17	biological	biological	ADJ
cana-4323	223	18	activity	activity	NOUN
cana-4323	223	19	relationship	relationship	NOUN
cana-4323	223	20	.	.	PUNCT
cana-4323	224	1	wiley	wiley	PROPN
cana-4323	224	2	interdisciplinary	interdisciplinary	ADJ
cana-4323	224	3	reviews	review	NOUN
cana-4323	224	4	:	:	PUNCT
cana-4323	224	5	computational	computational	ADJ
cana-4323	224	6	molecular	molecular	ADJ
cana-4323	224	7	science	science	NOUN
cana-4323	224	8	,	,	PUNCT
cana-4323	224	9	12(2	12(2	NUM
cana-4323	224	10	)	)	PUNCT
cana-4323	224	11	,	,	PUNCT
cana-4323	224	12	e1568	e1568	NOUN
cana-4323	224	13	.	.	PROPN
cana-4323	225	1	13	13	NUM
cana-4323	225	2	.	.	X
cana-4323	225	3	askr	askr	PROPN
cana-4323	225	4	,	,	PUNCT
cana-4323	225	5	h.	h.	PROPN
cana-4323	225	6	,	,	PUNCT
cana-4323	225	7	elgeldawi	elgeldawi	PROPN
cana-4323	225	8	,	,	PUNCT
cana-4323	225	9	e.	e.	PROPN
cana-4323	225	10	,	,	PUNCT
cana-4323	225	11	aboul	aboul	PROPN
cana-4323	225	12	ella	ella	PROPN
cana-4323	225	13	,	,	PUNCT
cana-4323	225	14	h.	h.	PROPN
cana-4323	225	15	,	,	PUNCT
cana-4323	225	16	elshaier	elshaier	PROPN
cana-4323	225	17	,	,	PUNCT
cana-4323	225	18	y.	y.	PROPN
cana-4323	225	19	a.	a.	PROPN
cana-4323	225	20	,	,	PUNCT
cana-4323	225	21	gomaa	gomaa	NOUN
cana-4323	225	22	,	,	PUNCT
cana-4323	225	23	m.	m.	NOUN
cana-4323	225	24	m.	m.	NOUN
cana-4323	225	25	,	,	PUNCT
cana-4323	225	26	&	&	CCONJ
cana-4323	225	27	hassanien	hassanien	PROPN
cana-4323	225	28	,	,	PUNCT
cana-4323	225	29	a.	a.	PROPN
cana-4323	225	30	e.	e.	PROPN
cana-4323	225	31	(	(	PUNCT
cana-4323	225	32	2023	2023	NUM
cana-4323	225	33	)	)	PUNCT
cana-4323	225	34	.	.	PUNCT
cana-4323	226	1	deep	deep	ADJ
cana-4323	226	2	learning	learning	NOUN
cana-4323	226	3	in	in	ADP
cana-4323	226	4	drug	drug	NOUN
cana-4323	226	5	discovery	discovery	NOUN
cana-4323	226	6	:	:	PUNCT
cana-4323	226	7	an	an	DET
cana-4323	226	8	integrative	integrative	ADJ
cana-4323	226	9	review	review	NOUN
cana-4323	226	10	and	and	CCONJ
cana-4323	226	11	future	future	ADJ
cana-4323	226	12	challenges	challenge	NOUN
cana-4323	226	13	.	.	PUNCT
cana-4323	227	1	artificial	artificial	ADJ
cana-4323	227	2	intelligence	intelligence	NOUN
cana-4323	227	3	review	review	NOUN
cana-4323	227	4	,	,	PUNCT
cana-4323	227	5	56(7	56(7	NUM
cana-4323	227	6	)	)	PUNCT
cana-4323	227	7	,	,	PUNCT
cana-4323	227	8	5975	5975	NUM
cana-4323	227	9	-	-	SYM
cana-4323	227	10	6037	6037	NUM
cana-4323	227	11	.	.	PUNCT
cana-4323	228	1	communications	communication	NOUN
cana-4323	228	2	on	on	ADP
cana-4323	228	3	applied	apply	VERB
cana-4323	228	4	nonlinear	nonlinear	ADJ
cana-4323	228	5	analysis	analysis	NOUN
cana-4323	228	6	issn	issn	NOUN
cana-4323	228	7	:	:	PUNCT
cana-4323	228	8	1074	1074	NUM
cana-4323	228	9	-	-	PUNCT
cana-4323	228	10	133x	133x	NUM
cana-4323	228	11	vol	vol	NOUN
cana-4323	228	12	32	32	NUM
cana-4323	228	13	no	no	NOUN
cana-4323	228	14	.	.	NOUN
cana-4323	228	15	3	3	NUM
cana-4323	228	16	(	(	PUNCT
cana-4323	228	17	2025	2025	NUM
cana-4323	228	18	)	)	PUNCT
cana-4323	228	19	802	802	NUM
cana-4323	228	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-4323	228	21	14	14	NUM
cana-4323	228	22	.	.	PUNCT
cana-4323	229	1	hu	hu	PROPN
cana-4323	229	2	,	,	PUNCT
cana-4323	229	3	s.	s.	PROPN
cana-4323	229	4	,	,	PUNCT
cana-4323	229	5	chen	chen	PROPN
cana-4323	229	6	,	,	PUNCT
cana-4323	229	7	p.	p.	PROPN
cana-4323	229	8	,	,	PUNCT
cana-4323	229	9	gu	gu	NOUN
cana-4323	229	10	,	,	PUNCT
cana-4323	229	11	p.	p.	PROPN
cana-4323	229	12	,	,	PUNCT
cana-4323	229	13	&	&	CCONJ
cana-4323	229	14	wang	wang	PROPN
cana-4323	229	15	,	,	PUNCT
cana-4323	229	16	b.	b.	PROPN
cana-4323	229	17	(	(	PUNCT
cana-4323	229	18	2020	2020	NUM
cana-4323	229	19	)	)	PUNCT
cana-4323	229	20	.	.	PUNCT
cana-4323	230	1	a	a	DET
cana-4323	230	2	deep	deep	ADJ
cana-4323	230	3	learning	learning	NOUN
cana-4323	230	4	-	-	PUNCT
cana-4323	230	5	based	base	VERB
cana-4323	230	6	chemical	chemical	NOUN
cana-4323	230	7	system	system	NOUN
cana-4323	230	8	for	for	ADP
cana-4323	230	9	qsar	qsar	NOUN
cana-4323	230	10	prediction	prediction	NOUN
cana-4323	230	11	.	.	PUNCT
cana-4323	231	1	ieee	ieee	PROPN
cana-4323	231	2	journal	journal	PROPN
cana-4323	231	3	of	of	ADP
cana-4323	231	4	biomedical	biomedical	ADJ
cana-4323	231	5	and	and	CCONJ
cana-4323	231	6	health	health	NOUN
cana-4323	231	7	informatics	informatic	NOUN
cana-4323	231	8	,	,	PUNCT
cana-4323	231	9	24(10	24(10	NUM
cana-4323	231	10	)	)	PUNCT
cana-4323	231	11	,	,	PUNCT
cana-4323	231	12	3020	3020	NUM
cana-4323	231	13	-	-	SYM
cana-4323	231	14	3028	3028	NUM
cana-4323	231	15	.	.	PUNCT
cana-4323	232	1	15	15	NUM
cana-4323	232	2	.	.	X
cana-4323	232	3	gayialis	gayialis	PROPN
cana-4323	232	4	,	,	PUNCT
cana-4323	232	5	s.	s.	PROPN
cana-4323	232	6	p.	p.	PROPN
cana-4323	232	7	,	,	PUNCT
cana-4323	232	8	kechagias	kechagias	PROPN
cana-4323	232	9	,	,	PUNCT
cana-4323	232	10	e.	e.	PROPN
cana-4323	232	11	p.	p.	PROPN
cana-4323	232	12	,	,	PUNCT
cana-4323	232	13	papadopoulos	papadopoulos	PROPN
cana-4323	232	14	,	,	PUNCT
cana-4323	232	15	g.	g.	PROPN
cana-4323	232	16	a.	a.	PROPN
cana-4323	232	17	,	,	PUNCT
cana-4323	232	18	&	&	CCONJ
cana-4323	232	19	masouras	masouras	PROPN
cana-4323	232	20	,	,	PUNCT
cana-4323	232	21	d.	d.	PROPN
cana-4323	232	22	(	(	PUNCT
cana-4323	232	23	2022	2022	NUM
cana-4323	232	24	)	)	PUNCT
cana-4323	232	25	.	.	PUNCT
cana-4323	233	1	a	a	DET
cana-4323	233	2	review	review	NOUN
cana-4323	233	3	and	and	CCONJ
cana-4323	233	4	classification	classification	NOUN
cana-4323	233	5	framework	framework	NOUN
cana-4323	233	6	of	of	ADP
cana-4323	233	7	traceability	traceability	NOUN
cana-4323	233	8	approaches	approach	NOUN
cana-4323	233	9	for	for	ADP
cana-4323	233	10	identifying	identify	VERB
cana-4323	233	11	product	product	NOUN
cana-4323	233	12	supply	supply	NOUN
cana-4323	233	13	chain	chain	NOUN
cana-4323	233	14	counterfeiting	counterfeiting	NOUN
cana-4323	233	15	.	.	PUNCT
cana-4323	234	1	sustainability	sustainability	NOUN
cana-4323	234	2	,	,	PUNCT
cana-4323	234	3	14(11	14(11	NUM
cana-4323	234	4	)	)	PUNCT
cana-4323	234	5	,	,	PUNCT
cana-4323	234	6	6666	6666	NUM
cana-4323	234	7	.	.	PUNCT
cana-4323	235	1	16	16	NUM
cana-4323	235	2	.	.	PUNCT
cana-4323	236	1	an	an	DET
cana-4323	236	2	-	-	PUNCT
cana-4323	236	3	bing	bing	NOUN
cana-4323	236	4	,	,	PUNCT
cana-4323	236	5	z.	z.	PROPN
cana-4323	236	6	,	,	PUNCT
cana-4323	236	7	hui	hui	PROPN
cana-4323	236	8	-	-	PUNCT
cana-4323	236	9	hua	hua	PROPN
cana-4323	236	10	,	,	PUNCT
cana-4323	236	11	y.	y.	PROPN
cana-4323	236	12	,	,	PUNCT
cana-4323	236	13	xi	xi	PROPN
cana-4323	236	14	-	-	PUNCT
cana-4323	236	15	peng	peng	PROPN
cana-4323	236	16	,	,	PUNCT
cana-4323	236	17	p.	p.	PROPN
cana-4323	236	18	,	,	PUNCT
cana-4323	236	19	li	li	PROPN
cana-4323	236	20	-	-	PROPN
cana-4323	236	21	hui	hui	PROPN
cana-4323	236	22	,	,	PUNCT
cana-4323	236	23	y.	y.	PROPN
cana-4323	236	24	,	,	PUNCT
cana-4323	236	25	&	&	CCONJ
cana-4323	236	26	yan	yan	PROPN
cana-4323	236	27	-	-	PUNCT
cana-4323	236	28	chun	chun	PROPN
cana-4323	236	29	,	,	PUNCT
cana-4323	236	30	f.	f.	PROPN
cana-4323	236	31	(	(	PUNCT
cana-4323	236	32	2020	2020	NUM
cana-4323	236	33	)	)	PUNCT
cana-4323	236	34	.	.	PUNCT
cana-4323	237	1	on	on	ADP
cana-4323	237	2	-	-	PUNCT
cana-4323	237	3	site	site	NOUN
cana-4323	237	4	identification	identification	NOUN
cana-4323	237	5	of	of	ADP
cana-4323	237	6	counterfeit	counterfeit	ADJ
cana-4323	237	7	drugs	drug	NOUN
cana-4323	237	8	based	base	VERB
cana-4323	237	9	on	on	ADP
cana-4323	237	10	near	near	ADV
cana-4323	237	11	-	-	PUNCT
cana-4323	237	12	infrared	infrare	VERB
cana-4323	237	13	spectroscopy	spectroscopy	NOUN
cana-4323	237	14	siamese	siamese	ADJ
cana-4323	237	15	-	-	PUNCT
cana-4323	237	16	network	network	NOUN
cana-4323	237	17	modeling	modeling	NOUN
cana-4323	237	18	.	.	PUNCT
cana-4323	238	1	ieee	ieee	NOUN
cana-4323	238	2	access	access	NOUN
cana-4323	238	3	,	,	PUNCT
cana-4323	238	4	9	9	NUM
cana-4323	238	5	,	,	PUNCT
cana-4323	238	6	3195	3195	NUM
cana-4323	238	7	-	-	SYM
cana-4323	238	8	3206	3206	NUM
cana-4323	238	9	.	.	PUNCT
cana-4323	239	1	17	17	NUM
cana-4323	239	2	.	.	X
cana-4323	240	1	ting	ting	PROPN
cana-4323	240	2	,	,	PUNCT
cana-4323	240	3	h.	h.	PROPN
cana-4323	240	4	w.	w.	PROPN
cana-4323	240	5	,	,	PUNCT
cana-4323	240	6	chung	chung	PROPN
cana-4323	240	7	,	,	PUNCT
cana-4323	240	8	s.	s.	PROPN
cana-4323	240	9	l.	l.	PROPN
cana-4323	240	10	,	,	PUNCT
cana-4323	240	11	chen	chen	PROPN
cana-4323	240	12	,	,	PUNCT
cana-4323	240	13	c.	c.	PROPN
cana-4323	240	14	f.	f.	PROPN
cana-4323	240	15	,	,	PUNCT
cana-4323	240	16	chiu	chiu	PROPN
cana-4323	240	17	,	,	PUNCT
cana-4323	240	18	h.	h.	PROPN
cana-4323	240	19	y.	y.	PROPN
cana-4323	240	20	,	,	PUNCT
cana-4323	240	21	&	&	CCONJ
cana-4323	240	22	hsieh	hsieh	PROPN
cana-4323	240	23	,	,	PUNCT
cana-4323	240	24	y.	y.	PROPN
cana-4323	240	25	w.	w.	PROPN
cana-4323	240	26	(	(	PUNCT
cana-4323	240	27	2020	2020	NUM
cana-4323	240	28	)	)	PUNCT
cana-4323	240	29	.	.	PUNCT
cana-4323	241	1	a	a	DET
cana-4323	241	2	drug	drug	NOUN
cana-4323	241	3	identification	identification	NOUN
cana-4323	241	4	model	model	NOUN
cana-4323	241	5	developed	develop	VERB
cana-4323	241	6	using	use	VERB
cana-4323	241	7	deep	deep	ADJ
cana-4323	241	8	learning	learning	NOUN
cana-4323	241	9	technologies	technology	NOUN
cana-4323	241	10	:	:	PUNCT
cana-4323	241	11	experience	experience	NOUN
cana-4323	241	12	of	of	ADP
cana-4323	241	13	a	a	DET
cana-4323	241	14	medical	medical	ADJ
cana-4323	241	15	center	center	NOUN
cana-4323	241	16	in	in	ADP
cana-4323	241	17	taiwan	taiwan	PROPN
cana-4323	241	18	.	.	PUNCT
cana-4323	242	1	bmc	bmc	PROPN
cana-4323	242	2	health	health	PROPN
cana-4323	242	3	services	service	NOUN
cana-4323	242	4	research	research	NOUN
cana-4323	242	5	,	,	PUNCT
cana-4323	242	6	20	20	NUM
cana-4323	242	7	,	,	PUNCT
cana-4323	242	8	1	1	NUM
cana-4323	242	9	-	-	SYM
cana-4323	242	10	9	9	NUM
cana-4323	242	11	.	.	NOUN
cana-4323	242	12	18	18	NUM
cana-4323	242	13	.	.	PUNCT
cana-4323	243	1	simonovsky	simonovsky	ADJ
cana-4323	243	2	,	,	PUNCT
cana-4323	243	3	m.	m.	NOUN
cana-4323	243	4	,	,	PUNCT
cana-4323	243	5	&	&	CCONJ
cana-4323	243	6	komodakis	komodakis	PROPN
cana-4323	243	7	,	,	PUNCT
cana-4323	243	8	n.	n.	NOUN
cana-4323	243	9	(	(	PUNCT
cana-4323	243	10	2018	2018	NUM
cana-4323	243	11	)	)	PUNCT
cana-4323	243	12	.	.	PUNCT
cana-4323	244	1	graphvae	graphvae	NOUN
cana-4323	244	2	:	:	PUNCT
cana-4323	244	3	towards	towards	ADP
cana-4323	244	4	generation	generation	NOUN
cana-4323	244	5	of	of	ADP
cana-4323	244	6	small	small	ADJ
cana-4323	244	7	graphs	graph	NOUN
cana-4323	244	8	using	use	VERB
cana-4323	244	9	variational	variational	ADJ
cana-4323	244	10	autoencoders	autoencoder	NOUN
cana-4323	244	11	.	.	PUNCT
cana-4323	245	1	in	in	ADP
cana-4323	245	2	artificial	artificial	ADJ
cana-4323	245	3	neural	neural	ADJ
cana-4323	245	4	networks	network	NOUN
cana-4323	245	5	and	and	CCONJ
cana-4323	245	6	machine	machine	NOUN
cana-4323	245	7	learning	learning	NOUN
cana-4323	245	8	–	–	PUNCT
cana-4323	245	9	icann	icann	ADJ
cana-4323	245	10	2018	2018	NUM
cana-4323	245	11	:	:	PUNCT
cana-4323	245	12	27th	27th	ADJ
cana-4323	245	13	international	international	ADJ
cana-4323	245	14	conference	conference	NOUN
cana-4323	245	15	on	on	ADP
cana-4323	245	16	artificial	artificial	ADJ
cana-4323	245	17	neural	neural	ADJ
cana-4323	245	18	networks	network	NOUN
cana-4323	245	19	,	,	PUNCT
cana-4323	245	20	rhodes	rhode	NOUN
cana-4323	245	21	,	,	PUNCT
cana-4323	245	22	greece	greece	PROPN
cana-4323	245	23	,	,	PUNCT
cana-4323	245	24	october	october	PROPN
cana-4323	245	25	4	4	NUM
cana-4323	245	26	-	-	SYM
cana-4323	245	27	7	7	NUM
cana-4323	245	28	,	,	PUNCT
cana-4323	245	29	2018	2018	NUM
cana-4323	245	30	,	,	PUNCT
cana-4323	245	31	proceedings	proceeding	NOUN
cana-4323	245	32	,	,	PUNCT
cana-4323	245	33	part	part	NOUN
cana-4323	245	34	i	i	PRON
cana-4323	245	35	27	27	NUM
cana-4323	245	36	(	(	PUNCT
cana-4323	245	37	pp	pp	ADJ
cana-4323	245	38	.	.	PUNCT
cana-4323	245	39	412	412	NUM
cana-4323	245	40	-	-	SYM
cana-4323	245	41	422	422	NUM
cana-4323	245	42	)	)	PUNCT
cana-4323	245	43	.	.	PUNCT
cana-4323	246	1	springer	springer	NOUN
cana-4323	246	2	international	international	ADJ
cana-4323	246	3	publishing	publishing	NOUN
cana-4323	246	4	.	.	PUNCT
cana-4323	247	1	19	19	NUM
cana-4323	247	2	.	.	PUNCT
cana-4323	247	3	kakio	kakio	PROPN
cana-4323	247	4	,	,	PUNCT
cana-4323	247	5	t.	t.	PROPN
cana-4323	247	6	,	,	PUNCT
cana-4323	247	7	yoshida	yoshida	PROPN
cana-4323	247	8	,	,	PUNCT
cana-4323	247	9	n.	n.	PROPN
cana-4323	247	10	,	,	PUNCT
cana-4323	247	11	macha	macha	PROPN
cana-4323	247	12	,	,	PUNCT
cana-4323	247	13	s.	s.	PROPN
cana-4323	247	14	,	,	PUNCT
cana-4323	247	15	moriguchi	moriguchi	PROPN
cana-4323	247	16	,	,	PUNCT
cana-4323	247	17	k.	k.	PROPN
cana-4323	247	18	,	,	PUNCT
cana-4323	247	19	hiroshima	hiroshima	PROPN
cana-4323	247	20	,	,	PUNCT
cana-4323	247	21	t.	t.	PROPN
cana-4323	247	22	,	,	PUNCT
cana-4323	247	23	ikeda	ikeda	PROPN
cana-4323	247	24	,	,	PUNCT
cana-4323	247	25	y.	y.	PROPN
cana-4323	247	26	,	,	PUNCT
cana-4323	247	27	...	...	PUNCT
cana-4323	247	28	&	&	CCONJ
cana-4323	247	29	kimura	kimura	PROPN
cana-4323	247	30	,	,	PUNCT
cana-4323	247	31	k.	k.	PROPN
cana-4323	247	32	(	(	PUNCT
cana-4323	247	33	2017	2017	NUM
cana-4323	247	34	)	)	PUNCT
cana-4323	247	35	.	.	PUNCT
cana-4323	248	1	classification	classification	NOUN
cana-4323	248	2	and	and	CCONJ
cana-4323	248	3	visualization	visualization	NOUN
cana-4323	248	4	of	of	ADP
cana-4323	248	5	physical	physical	ADJ
cana-4323	248	6	and	and	CCONJ
cana-4323	248	7	chemical	chemical	NOUN
cana-4323	248	8	properties	property	NOUN
cana-4323	248	9	of	of	ADP
cana-4323	248	10	falsified	falsified	ADJ
cana-4323	248	11	medicines	medicine	NOUN
cana-4323	248	12	with	with	ADP
cana-4323	248	13	handheld	handheld	ADJ
cana-4323	248	14	raman	raman	NOUN
cana-4323	248	15	spectroscopy	spectroscopy	NOUN
cana-4323	248	16	and	and	CCONJ
cana-4323	248	17	x	x	NOUN
cana-4323	248	18	-	-	NOUN
cana-4323	248	19	ray	ray	NOUN
cana-4323	248	20	computed	compute	VERB
cana-4323	248	21	tomography	tomography	NOUN
cana-4323	248	22	.	.	PUNCT
cana-4323	249	1	the	the	DET
cana-4323	249	2	american	american	PROPN
cana-4323	249	3	journal	journal	PROPN
cana-4323	249	4	of	of	ADP
cana-4323	249	5	tropical	tropical	ADJ
cana-4323	249	6	medicine	medicine	NOUN
cana-4323	249	7	and	and	CCONJ
cana-4323	249	8	hygiene	hygiene	NOUN
cana-4323	249	9	,	,	PUNCT
cana-4323	249	10	97(3	97(3	NUM
cana-4323	249	11	)	)	PUNCT
cana-4323	249	12	,	,	PUNCT
cana-4323	249	13	684	684	NUM
cana-4323	249	14	.	.	PUNCT
cana-4323	249	15	20	20	NUM
cana-4323	249	16	.	.	PUNCT
cana-4323	249	17	deconinck	deconinck	NOUN
cana-4323	249	18	,	,	PUNCT
cana-4323	249	19	e.	e.	PROPN
cana-4323	249	20	,	,	PUNCT
cana-4323	249	21	sacre	sacre	PROPN
cana-4323	249	22	,	,	PUNCT
cana-4323	249	23	p.	p.	PROPN
cana-4323	249	24	y.	y.	PROPN
cana-4323	249	25	,	,	PUNCT
cana-4323	249	26	courselle	courselle	NOUN
cana-4323	249	27	,	,	PUNCT
cana-4323	249	28	p.	p.	NOUN
cana-4323	249	29	,	,	PUNCT
cana-4323	249	30	&	&	CCONJ
cana-4323	249	31	de	de	ADP
cana-4323	249	32	beer	beer	NOUN
cana-4323	249	33	,	,	PUNCT
cana-4323	249	34	j.	j.	PROPN
cana-4323	249	35	o.	o.	PROPN
cana-4323	249	36	(	(	PUNCT
cana-4323	249	37	2012	2012	NUM
cana-4323	249	38	)	)	PUNCT
cana-4323	249	39	.	.	PUNCT
cana-4323	250	1	chemometrics	chemometric	NOUN
cana-4323	250	2	and	and	CCONJ
cana-4323	250	3	chromatographic	chromatographic	ADJ
cana-4323	250	4	fingerprints	fingerprint	NOUN
cana-4323	250	5	to	to	PART
cana-4323	250	6	discriminate	discriminate	VERB
cana-4323	250	7	and	and	CCONJ
cana-4323	250	8	classify	classify	VERB
cana-4323	250	9	counterfeit	counterfeit	ADJ
cana-4323	250	10	medicines	medicine	NOUN
cana-4323	250	11	containing	contain	VERB
cana-4323	250	12	pde-5	pde-5	X
cana-4323	250	13	inhibitors	inhibitor	NOUN
cana-4323	250	14	.	.	PUNCT
cana-4323	251	1	talanta	talanta	ADJ
cana-4323	251	2	,	,	PUNCT
cana-4323	251	3	100	100	NUM
cana-4323	251	4	,	,	PUNCT
cana-4323	251	5	123	123	NUM
cana-4323	251	6	-	-	SYM
cana-4323	251	7	133	133	NUM
cana-4323	251	8	.	.	PUNCT
cana-4323	252	1	21	21	NUM
cana-4323	252	2	.	.	PUNCT
cana-4323	253	1	https://www.ebi.ac.uk/chembl/web_components/explore/compounds/	https://www.ebi.ac.uk/chembl/web_components/explore/compounds/	NOUN
cana-4323	253	2	22	22	NUM
cana-4323	253	3	.	.	PUNCT
cana-4323	254	1	r.	r.	PROPN
cana-4323	254	2	renukadevi	renukadevi	PROPN
cana-4323	254	3	et	et	PROPN
cana-4323	254	4	al	al	PROPN
cana-4323	254	5	.	.	PUNCT
cana-4323	255	1	“	"	PUNCT
cana-4323	255	2	an	an	DET
cana-4323	255	3	improved	improved	ADJ
cana-4323	255	4	collaborative	collaborative	ADJ
cana-4323	255	5	user	user	NOUN
cana-4323	255	6	product	product	NOUN
cana-4323	255	7	recommendation	recommendation	NOUN
cana-4323	255	8	system	system	NOUN
cana-4323	255	9	using	use	VERB
cana-4323	255	10	computational	computational	ADJ
cana-4323	255	11	intelligence	intelligence	NOUN
cana-4323	255	12	with	with	ADP
cana-4323	255	13	association	association	NOUN
cana-4323	255	14	rules	rule	NOUN
cana-4323	255	15	”	"	PUNCT
cana-4323	255	16	,	,	PUNCT
cana-4323	255	17	communications	communication	NOUN
cana-4323	255	18	on	on	ADP
cana-4323	255	19	applied	apply	VERB
cana-4323	255	20	nonlinear	nonlinear	ADJ
cana-4323	255	21	analysis	analysis	NOUN
cana-4323	255	22	,	,	PUNCT
cana-4323	255	23	volume	volume	NOUN
cana-4323	255	24	31	31	NUM
cana-4323	255	25	,	,	PUNCT
cana-4323	255	26	issue	issue	VERB
cana-4323	255	27	6s	6s	NUM
cana-4323	255	28	(	(	PUNCT
cana-4323	255	29	2024	2024	NUM
cana-4323	255	30	)	)	PUNCT
cana-4323	255	31	,	,	PUNCT
cana-4323	255	32	pp	pp	ADP
cana-4323	255	33	.	.	PUNCT
cana-4323	256	1	554	554	NUM
cana-4323	256	2	564	564	NUM
cana-4323	256	3	.	.	PUNCT
cana-4323	257	1	https://doi.org/10.52783/cana.v31.1243	https://doi.org/10.52783/cana.v31.1243	PROPN
cana-4323	257	2	23	23	NUM
cana-4323	257	3	.	.	PUNCT
cana-4323	258	1	k	k	PROPN
cana-4323	258	2	t	t	PROPN
cana-4323	258	3	,	,	PUNCT
cana-4323	258	4	s.	s.	PROPN
cana-4323	258	5	,	,	PUNCT
cana-4323	258	6	p	p	X
cana-4323	258	7	,	,	PUNCT
cana-4323	258	8	s.	s.	PROPN
cana-4323	258	9	s.	s.	PROPN
cana-4323	258	10	,	,	PUNCT
cana-4323	258	11	kumar	kumar	PROPN
cana-4323	258	12	e	e	PROPN
cana-4323	258	13	,	,	PUNCT
cana-4323	258	14	b.	b.	PROPN
cana-4323	258	15	,	,	PUNCT
cana-4323	258	16	l	l	NOUN
cana-4323	258	17	r	r	NOUN
cana-4323	258	18	,	,	PUNCT
cana-4323	258	19	s.	s.	PROPN
cana-4323	258	20	,	,	PUNCT
cana-4323	258	21	j	j	PROPN
cana-4323	258	22	,	,	PUNCT
cana-4323	258	23	v.	v.	PROPN
cana-4323	258	24	,	,	PUNCT
cana-4323	258	25	&	&	CCONJ
cana-4323	258	26	r.	r.	PROPN
cana-4323	258	27	,	,	PUNCT
cana-4323	258	28	n.	n.	PROPN
cana-4323	258	29	(	(	PUNCT
cana-4323	258	30	2024	2024	NUM
cana-4323	258	31	)	)	PUNCT
cana-4323	258	32	.	.	PUNCT
cana-4323	259	1	experimental	experimental	ADJ
cana-4323	259	2	assessment	assessment	NOUN
cana-4323	259	3	between	between	ADP
cana-4323	259	4	dissimilar	dissimilar	ADJ
cana-4323	259	5	techniques	technique	NOUN
cana-4323	259	6	and	and	CCONJ
cana-4323	259	7	methodologies	methodology	NOUN
cana-4323	259	8	to	to	ADP
cana-4323	259	9	sports	sport	NOUN
cana-4323	259	10	knee	knee	NOUN
cana-4323	259	11	injury	injury	NOUN
cana-4323	259	12	using	use	VERB
cana-4323	259	13	magnetic	magnetic	ADJ
cana-4323	259	14	resonance	resonance	NOUN
cana-4323	259	15	imaging	imaging	NOUN
cana-4323	259	16	.	.	PUNCT
cana-4323	260	1	south	south	ADJ
cana-4323	260	2	eastern	eastern	ADJ
cana-4323	260	3	european	european	PROPN
cana-4323	260	4	journal	journal	PROPN
cana-4323	260	5	of	of	ADP
cana-4323	260	6	public	public	ADJ
cana-4323	260	7	health	health	NOUN
cana-4323	260	8	,	,	PUNCT
cana-4323	260	9	1635–1644	1635–1644	NUM
cana-4323	260	10	.	.	PUNCT
cana-4323	261	1	https://doi.org/10.70135/seejph.vi.2167	https://doi.org/10.70135/seejph.vi.2167	ADJ
cana-4323	261	2	24	24	NUM
cana-4323	261	3	.	.	PUNCT
cana-4323	261	4	r.	r.	PROPN
cana-4323	261	5	renukadevi	renukadevi	PROPN
cana-4323	261	6	et	et	PROPN
cana-4323	261	7	al	al	PROPN
cana-4323	261	8	.	.	PUNCT
cana-4323	262	1	“	"	PUNCT
cana-4323	262	2	optimized	optimize	VERB
cana-4323	262	3	computational	computational	ADJ
cana-4323	262	4	intelligence	intelligence	NOUN
cana-4323	262	5	with	with	ADP
cana-4323	262	6	association	association	NOUN
cana-4323	262	7	rules	rule	NOUN
cana-4323	262	8	for	for	ADP
cana-4323	262	9	a	a	DET
cana-4323	262	10	collaborative	collaborative	ADJ
cana-4323	262	11	consumer	consumer	NOUN
cana-4323	262	12	product	product	NOUN
cana-4323	262	13	recommendation	recommendation	NOUN
cana-4323	262	14	system	system	NOUN
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cana-4323	262	17	advances	advance	NOUN
cana-4323	262	18	in	in	ADP
cana-4323	262	19	nonlinear	nonlinear	ADJ
cana-4323	262	20	variational	variational	ADJ
cana-4323	262	21	inequalities	inequality	NOUN
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cana-4323	262	23	volume	volume	NOUN
cana-4323	262	24	31	31	NUM
cana-4323	262	25	,	,	PUNCT
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cana-4323	262	27	3s	3s	NUM
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cana-4323	262	29	2025	2025	NUM
cana-4323	262	30	)	)	PUNCT
cana-4323	262	31	,	,	PUNCT
cana-4323	262	32	pp	pp	PROPN
cana-4323	262	33	.	.	PUNCT
cana-4323	263	1	375	375	NUM
cana-4323	263	2	–	–	PUNCT
cana-4323	263	3	385	385	NUM
cana-4323	263	4	.	.	PUNCT
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cana-4323	265	1	prakash	prakash	PROPN
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cana-4323	265	3	g.	g.	PROPN
cana-4323	265	4	,	,	PUNCT
cana-4323	265	5	p.	p.	NOUN
cana-4323	265	6	logapriya	logapriya	PROPN
cana-4323	265	7	,	,	PUNCT
cana-4323	265	8	and	and	CCONJ
cana-4323	265	9	a.	a.	NOUN
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cana-4323	265	11	.	.	PUNCT
cana-4323	266	1	"	"	PUNCT
cana-4323	266	2	smart	smart	ADJ
cana-4323	266	3	parking	parking	NOUN
cana-4323	266	4	system	system	NOUN
cana-4323	266	5	using	use	VERB
cana-4323	266	6	arduino	arduino	NOUN
cana-4323	266	7	and	and	CCONJ
cana-4323	266	8	sensors	sensor	NOUN
cana-4323	266	9	.	.	PUNCT
cana-4323	266	10	"	"	PUNCT
cana-4323	267	1	naturalista	naturalista	ADJ
cana-4323	267	2	campano	campano	NOUN
cana-4323	267	3	28	28	NUM
cana-4323	267	4	(	(	PUNCT
cana-4323	267	5	2024	2024	NUM
cana-4323	267	6	):	):	PUNCT
cana-4323	267	7	2903	2903	NUM
cana-4323	267	8	-	-	SYM
cana-4323	267	9	2911	2911	NUM
cana-4323	267	10	.	.	PUNCT
cana-4323	268	1	https://www.ebi.ac.uk/chembl/web_components/explore/compounds/	https://www.ebi.ac.uk/chembl/web_components/explore/compounds/	PROPN
cana-4323	268	2	https://doi.org/10.52783/cana.v31.1243	https://doi.org/10.52783/cana.v31.1243	PROPN
cana-4323	268	3	https://doi.org/10.70135/seejph.vi.2167	https://doi.org/10.70135/seejph.vi.2167	PROPN
cana-4323	268	4	https://doi.org/10.52783/anvi.v28.3065	https://doi.org/10.52783/anvi.v28.3065	PROPN