id	sid	tid	token	lemma	pos
cana-3813	1	1	international	international	ADJ
cana-3813	1	2	journal	journal	NOUN
cana-3813	1	3	of	of	ADP
cana-3813	1	4	electrical	electrical	ADJ
cana-3813	1	5	and	and	CCONJ
cana-3813	1	6	computer	computer	NOUN
cana-3813	1	7	engineering	engineering	NOUN
cana-3813	1	8	(	(	PUNCT
cana-3813	1	9	ijece	ijece	PROPN
cana-3813	1	10	)	)	PUNCT
cana-3813	1	11	communications	communication	NOUN
cana-3813	1	12	on	on	ADP
cana-3813	1	13	applied	apply	VERB
cana-3813	1	14	nonlinear	nonlinear	ADJ
cana-3813	1	15	analysis	analysis	NOUN
cana-3813	1	16	issn	issn	NOUN
cana-3813	1	17	:	:	PUNCT
cana-3813	1	18	1074	1074	NUM
cana-3813	1	19	-	-	PUNCT
cana-3813	1	20	133x	133x	NUM
cana-3813	1	21	vol	vol	NOUN
cana-3813	1	22	32	32	NUM
cana-3813	1	23	no	no	NOUN
cana-3813	1	24	.	.	PUNCT
cana-3813	2	1	8s	8s	PROPN
cana-3813	2	2	(	(	PUNCT
cana-3813	2	3	2025	2025	NUM
cana-3813	2	4	)	)	PUNCT
cana-3813	2	5	788	788	NUM
cana-3813	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3813	2	7	integrating	integrate	VERB
cana-3813	2	8	data	datum	NOUN
cana-3813	2	9	analysis	analysis	NOUN
cana-3813	2	10	and	and	CCONJ
cana-3813	2	11	predictive	predictive	ADJ
cana-3813	2	12	analytics	analytic	NOUN
cana-3813	2	13	into	into	ADP
cana-3813	2	14	an	an	DET
cana-3813	2	15	advanced	advanced	ADJ
cana-3813	2	16	inventory	inventory	NOUN
cana-3813	2	17	management	management	NOUN
cana-3813	2	18	system	system	NOUN
cana-3813	2	19	using	use	VERB
cana-3813	2	20	machine	machine	NOUN
cana-3813	2	21	learning	learning	NOUN
cana-3813	2	22	and	and	CCONJ
cana-3813	2	23	deep	deep	ADJ
cana-3813	2	24	learning	learning	NOUN
cana-3813	2	25	to	to	PART
cana-3813	2	26	address	address	VERB
cana-3813	2	27	backorders	backorder	NOUN
cana-3813	2	28	bhushan	bhushan	PROPN
cana-3813	2	29	jadhav1	jadhav1	PROPN
cana-3813	2	30	,	,	PUNCT
cana-3813	2	31	arti	arti	PROPN
cana-3813	2	32	deshpande2	deshpande2	PROPN
cana-3813	2	33	,	,	PUNCT
cana-3813	2	34	sonali	sonali	PROPN
cana-3813	2	35	jadhav3	jadhav3	PROPN
cana-3813	2	36	1department	1department	NUM
cana-3813	2	37	of	of	ADP
cana-3813	2	38	artificial	artificial	ADJ
cana-3813	2	39	intelligence	intelligence	NOUN
cana-3813	2	40	and	and	CCONJ
cana-3813	2	41	data	datum	NOUN
cana-3813	2	42	science	science	NOUN
cana-3813	2	43	,	,	PUNCT
cana-3813	2	44	thadomal	thadomal	ADJ
cana-3813	2	45	shahani	shahani	NOUN
cana-3813	2	46	engineering	engineering	PROPN
cana-3813	2	47	college	college	PROPN
cana-3813	2	48	,	,	PUNCT
cana-3813	2	49	mumbai	mumbai	PROPN
cana-3813	2	50	university	university	PROPN
cana-3813	2	51	,	,	PUNCT
cana-3813	2	52	india	india	PROPN
cana-3813	2	53	.	.	PUNCT
cana-3813	3	1	2,3	2,3	NUM
cana-3813	3	2	1department	1department	NUM
cana-3813	3	3	of	of	ADP
cana-3813	3	4	computer	computer	NOUN
cana-3813	3	5	engineering	engineering	NOUN
cana-3813	3	6	,	,	PUNCT
cana-3813	3	7	thadomal	thadomal	ADJ
cana-3813	3	8	shahani	shahani	NOUN
cana-3813	3	9	engineering	engineering	PROPN
cana-3813	3	10	college	college	PROPN
cana-3813	3	11	,	,	PUNCT
cana-3813	3	12	mumbai	mumbai	PROPN
cana-3813	3	13	university	university	PROPN
cana-3813	3	14	,	,	PUNCT
cana-3813	3	15	india	india	PROPN
cana-3813	3	16	.	.	PUNCT
cana-3813	4	1	corresponding	correspond	VERB
cana-3813	4	2	author	author	NOUN
cana-3813	4	3	:	:	PUNCT
cana-3813	4	4	dr	dr	PROPN
cana-3813	4	5	.	.	PROPN
cana-3813	4	6	bhushan	bhushan	PROPN
cana-3813	4	7	jadhav	jadhav	PROPN
cana-3813	4	8	department	department	PROPN
cana-3813	4	9	of	of	ADP
cana-3813	4	10	artificial	artificial	ADJ
cana-3813	4	11	intelligence	intelligence	NOUN
cana-3813	4	12	and	and	CCONJ
cana-3813	4	13	data	datum	NOUN
cana-3813	4	14	science	science	NOUN
cana-3813	4	15	,	,	PUNCT
cana-3813	4	16	thadomal	thadomal	ADJ
cana-3813	4	17	shahani	shahani	NOUN
cana-3813	4	18	engineering	engineering	PROPN
cana-3813	4	19	college	college	PROPN
cana-3813	4	20	,	,	PUNCT
cana-3813	4	21	mumbai	mumbai	PROPN
cana-3813	4	22	university	university	PROPN
cana-3813	4	23	bandra	bandra	PROPN
cana-3813	4	24	west	west	PROPN
cana-3813	4	25	,	,	PUNCT
cana-3813	4	26	mumbai	mumbai	PROPN
cana-3813	4	27	400050	400050	NUM
cana-3813	4	28	email	email	NOUN
cana-3813	4	29	:	:	PUNCT
cana-3813	4	30	bhushan.jadhav@thadomal.org	bhushan.jadhav@thadomal.org	PROPN
cana-3813	4	31	article	article	NOUN
cana-3813	4	32	history	history	NOUN
cana-3813	4	33	:	:	PUNCT
cana-3813	4	34	received	receive	VERB
cana-3813	4	35	:	:	PUNCT
cana-3813	4	36	07	07	NUM
cana-3813	4	37	-	-	SYM
cana-3813	4	38	11	11	NUM
cana-3813	4	39	-	-	PUNCT
cana-3813	4	40	2024	2024	NUM
cana-3813	4	41	revised	revise	VERB
cana-3813	4	42	:	:	PUNCT
cana-3813	4	43	22	22	NUM
cana-3813	4	44	-	-	SYM
cana-3813	4	45	12	12	NUM
cana-3813	4	46	-	-	PUNCT
cana-3813	4	47	2024	2024	NUM
cana-3813	4	48	accepted	accept	VERB
cana-3813	4	49	:	:	PUNCT
cana-3813	4	50	07	07	NUM
cana-3813	4	51	-	-	PUNCT
cana-3813	4	52	01	01	NUM
cana-3813	4	53	-	-	PUNCT
cana-3813	4	54	2025	2025	NUM
cana-3813	4	55	abstract	abstract	NOUN
cana-3813	4	56	:	:	PUNCT
cana-3813	4	57	the	the	DET
cana-3813	4	58	evolution	evolution	NOUN
cana-3813	4	59	of	of	ADP
cana-3813	4	60	ict	ict	PROPN
cana-3813	4	61	technology	technology	NOUN
cana-3813	4	62	has	have	AUX
cana-3813	4	63	benefited	benefit	VERB
cana-3813	4	64	various	various	ADJ
cana-3813	4	65	businesses	business	NOUN
cana-3813	4	66	and	and	CCONJ
cana-3813	4	67	applications	application	NOUN
cana-3813	4	68	in	in	ADP
cana-3813	4	69	a	a	DET
cana-3813	4	70	variety	variety	NOUN
cana-3813	4	71	of	of	ADP
cana-3813	4	72	ways	way	NOUN
cana-3813	4	73	.	.	PUNCT
cana-3813	5	1	the	the	DET
cana-3813	5	2	inventory	inventory	NOUN
cana-3813	5	3	management	management	NOUN
cana-3813	5	4	system	system	NOUN
cana-3813	5	5	is	be	AUX
cana-3813	5	6	one	one	NUM
cana-3813	5	7	of	of	ADP
cana-3813	5	8	those	those	PRON
cana-3813	5	9	that	that	PRON
cana-3813	5	10	has	have	AUX
cana-3813	5	11	used	use	VERB
cana-3813	5	12	a	a	DET
cana-3813	5	13	variety	variety	NOUN
cana-3813	5	14	of	of	ADP
cana-3813	5	15	techniques	technique	NOUN
cana-3813	5	16	to	to	PART
cana-3813	5	17	improve	improve	VERB
cana-3813	5	18	logistics	logistic	NOUN
cana-3813	5	19	and	and	CCONJ
cana-3813	5	20	inventory	inventory	NOUN
cana-3813	5	21	management	management	NOUN
cana-3813	5	22	performance	performance	NOUN
cana-3813	5	23	.	.	PUNCT
cana-3813	6	1	the	the	DET
cana-3813	6	2	novel	novel	ADJ
cana-3813	6	3	research	research	NOUN
cana-3813	6	4	introduces	introduce	VERB
cana-3813	6	5	an	an	DET
cana-3813	6	6	advanced	advanced	ADJ
cana-3813	6	7	inventory	inventory	NOUN
cana-3813	6	8	management	management	NOUN
cana-3813	6	9	system	system	NOUN
cana-3813	6	10	that	that	PRON
cana-3813	6	11	intends	intend	VERB
cana-3813	6	12	to	to	PART
cana-3813	6	13	improve	improve	VERB
cana-3813	6	14	operational	operational	ADJ
cana-3813	6	15	efficiency	efficiency	NOUN
cana-3813	6	16	in	in	ADP
cana-3813	6	17	the	the	DET
cana-3813	6	18	retail	retail	ADJ
cana-3813	6	19	industry	industry	NOUN
cana-3813	6	20	by	by	ADP
cana-3813	6	21	providing	provide	VERB
cana-3813	6	22	an	an	DET
cana-3813	6	23	intuitive	intuitive	ADJ
cana-3813	6	24	interface	interface	NOUN
cana-3813	6	25	for	for	ADP
cana-3813	6	26	managing	manage	VERB
cana-3813	6	27	purchases	purchase	NOUN
cana-3813	6	28	,	,	PUNCT
cana-3813	6	29	invoicing	invoicing	NOUN
cana-3813	6	30	,	,	PUNCT
cana-3813	6	31	client	client	NOUN
cana-3813	6	32	information	information	NOUN
cana-3813	6	33	,	,	PUNCT
cana-3813	6	34	product	product	NOUN
cana-3813	6	35	catalogues	catalogue	NOUN
cana-3813	6	36	,	,	PUNCT
cana-3813	6	37	and	and	CCONJ
cana-3813	6	38	sales	sale	NOUN
cana-3813	6	39	numbers	number	NOUN
cana-3813	6	40	.	.	PUNCT
cana-3813	7	1	the	the	DET
cana-3813	7	2	underlying	underlie	VERB
cana-3813	7	3	inventory	inventory	NOUN
cana-3813	7	4	control	control	NOUN
cana-3813	7	5	systems	system	NOUN
cana-3813	7	6	automatically	automatically	ADV
cana-3813	7	7	compute	compute	VERB
cana-3813	7	8	and	and	CCONJ
cana-3813	7	9	apply	apply	VERB
cana-3813	7	10	reorder	reorder	NOUN
cana-3813	7	11	levels	level	NOUN
cana-3813	7	12	and	and	CCONJ
cana-3813	7	13	safety	safety	NOUN
cana-3813	7	14	stock	stock	NOUN
cana-3813	7	15	quantities	quantity	NOUN
cana-3813	7	16	.	.	PUNCT
cana-3813	8	1	machine	machine	NOUN
cana-3813	8	2	learning	learning	NOUN
cana-3813	8	3	and	and	CCONJ
cana-3813	8	4	deep	deep	ADJ
cana-3813	8	5	learning	learning	NOUN
cana-3813	8	6	are	be	AUX
cana-3813	8	7	new	new	ADJ
cana-3813	8	8	technologies	technology	NOUN
cana-3813	8	9	employed	employ	VERB
cana-3813	8	10	in	in	ADP
cana-3813	8	11	current	current	ADJ
cana-3813	8	12	analytics	analytic	NOUN
cana-3813	8	13	due	due	ADP
cana-3813	8	14	to	to	ADP
cana-3813	8	15	their	their	PRON
cana-3813	8	16	enormous	enormous	ADJ
cana-3813	8	17	benefits	benefit	NOUN
cana-3813	8	18	.	.	PUNCT
cana-3813	9	1	as	as	ADP
cana-3813	9	2	a	a	DET
cana-3813	9	3	result	result	NOUN
cana-3813	9	4	,	,	PUNCT
cana-3813	9	5	the	the	DET
cana-3813	9	6	purpose	purpose	NOUN
cana-3813	9	7	of	of	ADP
cana-3813	9	8	this	this	DET
cana-3813	9	9	research	research	NOUN
cana-3813	9	10	paper	paper	NOUN
cana-3813	9	11	is	be	AUX
cana-3813	9	12	to	to	PART
cana-3813	9	13	highlight	highlight	VERB
cana-3813	9	14	a	a	DET
cana-3813	9	15	combined	combine	VERB
cana-3813	9	16	approach	approach	NOUN
cana-3813	9	17	of	of	ADP
cana-3813	9	18	providing	provide	VERB
cana-3813	9	19	analytical	analytical	ADJ
cana-3813	9	20	business	business	NOUN
cana-3813	9	21	intelligence	intelligence	NOUN
cana-3813	9	22	via	via	ADP
cana-3813	9	23	data	datum	NOUN
cana-3813	9	24	visualization	visualization	NOUN
cana-3813	9	25	platforms	platform	NOUN
cana-3813	9	26	,	,	PUNCT
cana-3813	9	27	as	as	ADV
cana-3813	9	28	well	well	ADV
cana-3813	9	29	as	as	ADP
cana-3813	9	30	predictive	predictive	ADJ
cana-3813	9	31	analytics	analytic	NOUN
cana-3813	9	32	via	via	ADP
cana-3813	9	33	machine	machine	NOUN
cana-3813	9	34	learning	learning	NOUN
cana-3813	9	35	and	and	CCONJ
cana-3813	9	36	deep	deep	ADJ
cana-3813	9	37	learning	learning	NOUN
cana-3813	9	38	,	,	PUNCT
cana-3813	9	39	in	in	ADP
cana-3813	9	40	order	order	NOUN
cana-3813	9	41	to	to	PART
cana-3813	9	42	demonstrate	demonstrate	VERB
cana-3813	9	43	a	a	DET
cana-3813	9	44	significant	significant	ADJ
cana-3813	9	45	advancement	advancement	NOUN
cana-3813	9	46	toward	toward	ADP
cana-3813	9	47	the	the	DET
cana-3813	9	48	automation	automation	NOUN
cana-3813	9	49	and	and	CCONJ
cana-3813	9	50	optimization	optimization	NOUN
cana-3813	9	51	of	of	ADP
cana-3813	9	52	inventory	inventory	NOUN
cana-3813	9	53	governance	governance	NOUN
cana-3813	9	54	processes	process	NOUN
cana-3813	9	55	.	.	PUNCT
cana-3813	10	1	the	the	DET
cana-3813	10	2	proposed	propose	VERB
cana-3813	10	3	approach	approach	NOUN
cana-3813	10	4	demonstrates	demonstrate	VERB
cana-3813	10	5	how	how	SCONJ
cana-3813	10	6	combining	combine	VERB
cana-3813	10	7	traditional	traditional	ADJ
cana-3813	10	8	software	software	NOUN
cana-3813	10	9	development	development	NOUN
cana-3813	10	10	with	with	ADP
cana-3813	10	11	cutting	cut	VERB
cana-3813	10	12	-	-	PUNCT
cana-3813	10	13	edge	edge	NOUN
cana-3813	10	14	data	datum	NOUN
cana-3813	10	15	analysis	analysis	NOUN
cana-3813	10	16	techniques	technique	NOUN
cana-3813	10	17	can	can	AUX
cana-3813	10	18	result	result	VERB
cana-3813	10	19	in	in	ADP
cana-3813	10	20	a	a	DET
cana-3813	10	21	more	more	ADV
cana-3813	10	22	efficient	efficient	ADJ
cana-3813	10	23	,	,	PUNCT
cana-3813	10	24	scalable	scalable	ADJ
cana-3813	10	25	,	,	PUNCT
cana-3813	10	26	and	and	CCONJ
cana-3813	10	27	informative	informative	ADJ
cana-3813	10	28	inventory	inventory	NOUN
cana-3813	10	29	management	management	NOUN
cana-3813	10	30	solution	solution	NOUN
cana-3813	10	31	.	.	PUNCT
cana-3813	11	1	it	it	PRON
cana-3813	11	2	addresses	address	VERB
cana-3813	11	3	common	common	ADJ
cana-3813	11	4	retail	retail	ADJ
cana-3813	11	5	difficulties	difficulty	NOUN
cana-3813	11	6	like	like	ADP
cana-3813	11	7	stockouts	stockout	NOUN
cana-3813	11	8	and	and	CCONJ
cana-3813	11	9	overstocking	overstock	VERB
cana-3813	11	10	by	by	ADP
cana-3813	11	11	utilising	utilise	VERB
cana-3813	11	12	powerful	powerful	ADJ
cana-3813	11	13	machine	machine	NOUN
cana-3813	11	14	learning	learning	NOUN
cana-3813	11	15	(	(	PUNCT
cana-3813	11	16	ml	ml	NOUN
cana-3813	11	17	)	)	PUNCT
cana-3813	11	18	and	and	CCONJ
cana-3813	11	19	deep	deep	ADJ
cana-3813	11	20	learning	learning	NOUN
cana-3813	11	21	(	(	PUNCT
cana-3813	11	22	dl	dl	NOUN
cana-3813	11	23	)	)	PUNCT
cana-3813	11	24	techniques	technique	NOUN
cana-3813	11	25	.	.	PUNCT
cana-3813	12	1	finally	finally	ADV
cana-3813	12	2	,	,	PUNCT
cana-3813	12	3	empirical	empirical	ADJ
cana-3813	12	4	testing	testing	NOUN
cana-3813	12	5	and	and	CCONJ
cana-3813	12	6	realworld	realworld	PROPN
cana-3813	12	7	applications	application	NOUN
cana-3813	12	8	are	be	AUX
cana-3813	12	9	used	use	VERB
cana-3813	12	10	to	to	PART
cana-3813	12	11	evaluate	evaluate	VERB
cana-3813	12	12	the	the	DET
cana-3813	12	13	suggested	suggest	VERB
cana-3813	12	14	approach	approach	NOUN
cana-3813	12	15	,	,	PUNCT
cana-3813	12	16	which	which	PRON
cana-3813	12	17	shows	show	VERB
cana-3813	12	18	significant	significant	ADJ
cana-3813	12	19	advances	advance	NOUN
cana-3813	12	20	in	in	ADP
cana-3813	12	21	inventory	inventory	NOUN
cana-3813	12	22	optimisation	optimisation	NOUN
cana-3813	12	23	as	as	ADV
cana-3813	12	24	well	well	ADV
cana-3813	12	25	as	as	ADP
cana-3813	12	26	other	other	ADJ
cana-3813	12	27	benefits	benefit	NOUN
cana-3813	12	28	such	such	ADJ
cana-3813	12	29	as	as	ADP
cana-3813	12	30	enhanced	enhanced	ADJ
cana-3813	12	31	demand	demand	NOUN
cana-3813	12	32	forecasting	forecasting	NOUN
cana-3813	12	33	,	,	PUNCT
cana-3813	12	34	cost	cost	NOUN
cana-3813	12	35	reductions	reduction	NOUN
cana-3813	12	36	,	,	PUNCT
cana-3813	12	37	and	and	CCONJ
cana-3813	12	38	operational	operational	ADJ
cana-3813	12	39	efficiency	efficiency	NOUN
cana-3813	12	40	.	.	PUNCT
cana-3813	13	1	the	the	DET
cana-3813	13	2	findings	finding	NOUN
cana-3813	13	3	show	show	VERB
cana-3813	13	4	that	that	SCONJ
cana-3813	13	5	machine	machine	NOUN
cana-3813	13	6	learning	learning	NOUN
cana-3813	13	7	and	and	CCONJ
cana-3813	13	8	deep	deep	ADJ
cana-3813	13	9	learning	learning	NOUN
cana-3813	13	10	have	have	VERB
cana-3813	13	11	the	the	DET
cana-3813	13	12	potential	potential	NOUN
cana-3813	13	13	to	to	PART
cana-3813	13	14	transform	transform	VERB
cana-3813	13	15	inventory	inventory	NOUN
cana-3813	13	16	management	management	NOUN
cana-3813	13	17	practices	practice	NOUN
cana-3813	13	18	.	.	PUNCT
cana-3813	14	1	keywords	keyword	NOUN
cana-3813	14	2	:	:	PUNCT
cana-3813	14	3	data	datum	NOUN
cana-3813	14	4	analysis	analysis	NOUN
cana-3813	14	5	,	,	PUNCT
cana-3813	14	6	predictive	predictive	ADJ
cana-3813	14	7	analytics	analytic	NOUN
cana-3813	14	8	,	,	PUNCT
cana-3813	14	9	inventory	inventory	NOUN
cana-3813	14	10	management	management	NOUN
cana-3813	14	11	system	system	NOUN
cana-3813	14	12	,	,	PUNCT
cana-3813	14	13	machine	machine	NOUN
cana-3813	14	14	learning	learning	NOUN
cana-3813	14	15	and	and	CCONJ
cana-3813	14	16	deep	deep	ADJ
cana-3813	14	17	learning	learning	NOUN
cana-3813	14	18	.	.	PUNCT
cana-3813	15	1	1	1	X
cana-3813	15	2	.	.	X
cana-3813	15	3	introduction	introduction	NOUN
cana-3813	15	4	inventory	inventory	NOUN
cana-3813	15	5	management	management	NOUN
cana-3813	15	6	is	be	AUX
cana-3813	15	7	an	an	DET
cana-3813	15	8	essential	essential	ADJ
cana-3813	15	9	aspect	aspect	NOUN
cana-3813	15	10	of	of	ADP
cana-3813	15	11	business	business	NOUN
cana-3813	15	12	operation	operation	NOUN
cana-3813	15	13	in	in	ADP
cana-3813	15	14	the	the	DET
cana-3813	15	15	current	current	ADJ
cana-3813	15	16	retail	retail	ADJ
cana-3813	15	17	environment	environment	NOUN
cana-3813	15	18	.	.	PUNCT
cana-3813	16	1	the	the	DET
cana-3813	16	2	increasing	increase	VERB
cana-3813	16	3	dynamism	dynamism	NOUN
cana-3813	16	4	of	of	ADP
cana-3813	16	5	consumer	consumer	NOUN
cana-3813	16	6	behaviour	behaviour	NOUN
cana-3813	16	7	and	and	CCONJ
cana-3813	16	8	trends	trend	NOUN
cana-3813	16	9	has	have	AUX
cana-3813	16	10	hampered	hamper	VERB
cana-3813	16	11	the	the	DET
cana-3813	16	12	ability	ability	NOUN
cana-3813	16	13	of	of	ADP
cana-3813	16	14	traditional	traditional	ADJ
cana-3813	16	15	communications	communication	NOUN
cana-3813	16	16	on	on	ADP
cana-3813	16	17	applied	apply	VERB
cana-3813	16	18	nonlinear	nonlinear	ADJ
cana-3813	16	19	analysis	analysis	NOUN
cana-3813	16	20	issn	issn	NOUN
cana-3813	16	21	:	:	PUNCT
cana-3813	16	22	1074	1074	NUM
cana-3813	16	23	-	-	PUNCT
cana-3813	16	24	133x	133x	NUM
cana-3813	16	25	vol	vol	NOUN
cana-3813	16	26	32	32	NUM
cana-3813	16	27	no	no	NOUN
cana-3813	16	28	.	.	PUNCT
cana-3813	17	1	8s	8s	PROPN
cana-3813	17	2	(	(	PUNCT
cana-3813	17	3	2025	2025	NUM
cana-3813	17	4	)	)	PUNCT
cana-3813	17	5	789	789	NUM
cana-3813	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3813	17	7	inventory	inventory	NOUN
cana-3813	17	8	systems	system	NOUN
cana-3813	17	9	to	to	PART
cana-3813	17	10	meet	meet	VERB
cana-3813	17	11	client	client	NOUN
cana-3813	17	12	demands	demand	NOUN
cana-3813	17	13	.	.	PUNCT
cana-3813	18	1	as	as	ADP
cana-3813	18	2	a	a	DET
cana-3813	18	3	result	result	NOUN
cana-3813	18	4	,	,	PUNCT
cana-3813	18	5	many	many	ADJ
cana-3813	18	6	retailers	retailer	NOUN
cana-3813	18	7	must	must	AUX
cana-3813	18	8	grapple	grapple	VERB
cana-3813	18	9	with	with	ADP
cana-3813	18	10	prevalent	prevalent	ADJ
cana-3813	18	11	challenges	challenge	NOUN
cana-3813	18	12	that	that	PRON
cana-3813	18	13	include	include	VERB
cana-3813	18	14	but	but	CCONJ
cana-3813	18	15	are	be	AUX
cana-3813	18	16	not	not	PART
cana-3813	18	17	limited	limit	VERB
cana-3813	18	18	to	to	ADP
cana-3813	18	19	stock	stock	NOUN
cana-3813	18	20	outs	out	NOUN
cana-3813	18	21	,	,	PUNCT
cana-3813	18	22	overstocking	overstocking	NOUN
cana-3813	18	23	,	,	PUNCT
cana-3813	18	24	and	and	CCONJ
cana-3813	18	25	reduced	reduced	ADJ
cana-3813	18	26	profitability	profitability	NOUN
cana-3813	18	27	[	[	X
cana-3813	18	28	3	3	NUM
cana-3813	18	29	]	]	PUNCT
cana-3813	18	30	.	.	PUNCT
cana-3813	19	1	conse	conse	NOUN
cana-3813	19	2	-	-	PUNCT
cana-3813	19	3	quently	quently	ADV
cana-3813	19	4	,	,	PUNCT
cana-3813	19	5	there	there	PRON
cana-3813	19	6	is	be	VERB
cana-3813	19	7	a	a	DET
cana-3813	19	8	rising	rise	VERB
cana-3813	19	9	demand	demand	NOUN
cana-3813	19	10	for	for	ADP
cana-3813	19	11	inventory	inventory	NOUN
cana-3813	19	12	management	management	NOUN
cana-3813	19	13	systems	system	NOUN
cana-3813	19	14	that	that	PRON
cana-3813	19	15	will	will	AUX
cana-3813	19	16	op	op	NOUN
cana-3813	19	17	-	-	PUNCT
cana-3813	19	18	timize	timize	VERB
cana-3813	19	19	their	their	PRON
cana-3813	19	20	functionality	functionality	NOUN
cana-3813	19	21	through	through	ADP
cana-3813	19	22	technology	technology	NOUN
cana-3813	19	23	and	and	CCONJ
cana-3813	19	24	data	datum	NOUN
cana-3813	19	25	to	to	PART
cana-3813	19	26	improve	improve	VERB
cana-3813	19	27	performance	performance	NOUN
cana-3813	19	28	.	.	PUNCT
cana-3813	20	1	the	the	DET
cana-3813	20	2	present	present	ADJ
cana-3813	20	3	research	research	NOUN
cana-3813	20	4	seeks	seek	VERB
cana-3813	20	5	to	to	PART
cana-3813	20	6	remedy	remedy	VERB
cana-3813	20	7	the	the	DET
cana-3813	20	8	situation	situation	NOUN
cana-3813	20	9	by	by	ADP
cana-3813	20	10	developing	develop	VERB
cana-3813	20	11	an	an	DET
cana-3813	20	12	innovative	innovative	ADJ
cana-3813	20	13	inventory	inventory	NOUN
cana-3813	20	14	management	management	NOUN
cana-3813	20	15	system	system	NOUN
cana-3813	20	16	for	for	ADP
cana-3813	20	17	retailers	retailer	NOUN
cana-3813	20	18	to	to	PART
cana-3813	20	19	help	help	VERB
cana-3813	20	20	address	address	VERB
cana-3813	20	21	the	the	DET
cana-3813	20	22	identified	identify	VERB
cana-3813	20	23	challeng	challeng	NOUN
cana-3813	20	24	-	-	PUNCT
cana-3813	20	25	es	es	NOUN
cana-3813	20	26	.	.	PUNCT
cana-3813	21	1	the	the	DET
cana-3813	21	2	system	system	NOUN
cana-3813	21	3	will	will	AUX
cana-3813	21	4	incorporate	incorporate	VERB
cana-3813	21	5	machine	machine	NOUN
cana-3813	21	6	learning	learning	NOUN
cana-3813	21	7	and	and	CCONJ
cana-3813	21	8	deep	deep	ADJ
cana-3813	21	9	learning	learning	NOUN
cana-3813	21	10	technologies	technology	NOUN
cana-3813	21	11	to	to	PART
cana-3813	21	12	enhance	enhance	VERB
cana-3813	21	13	forecasting	forecasting	NOUN
cana-3813	21	14	accuracy	accuracy	NOUN
cana-3813	21	15	.	.	PUNCT
cana-3813	22	1	additionally	additionally	ADV
cana-3813	22	2	,	,	PUNCT
cana-3813	22	3	the	the	DET
cana-3813	22	4	system	system	NOUN
cana-3813	22	5	will	will	AUX
cana-3813	22	6	optimize	optimize	VERB
cana-3813	22	7	inventory	inventory	NOUN
cana-3813	22	8	levels	level	NOUN
cana-3813	22	9	[	[	X
cana-3813	22	10	5	5	NUM
cana-3813	22	11	]	]	PUNCT
cana-3813	22	12	.	.	PUNCT
cana-3813	23	1	predictive	predictive	ADJ
cana-3813	23	2	analytics	analytic	NOUN
cana-3813	23	3	functionality	functionality	NOUN
cana-3813	23	4	,	,	PUNCT
cana-3813	23	5	as	as	ADV
cana-3813	23	6	well	well	ADV
cana-3813	23	7	as	as	ADP
cana-3813	23	8	user	user	NOUN
cana-3813	23	9	-	-	PUNCT
cana-3813	23	10	friendly	friendly	ADJ
cana-3813	23	11	interfaces	interface	NOUN
cana-3813	23	12	,	,	PUNCT
cana-3813	23	13	will	will	AUX
cana-3813	23	14	allow	allow	VERB
cana-3813	23	15	retailers	retailer	NOUN
cana-3813	23	16	to	to	PART
cana-3813	23	17	make	make	VERB
cana-3813	23	18	informed	informed	ADJ
cana-3813	23	19	decisions	decision	NOUN
cana-3813	23	20	and	and	CCONJ
cana-3813	23	21	respond	respond	VERB
cana-3813	23	22	to	to	ADP
cana-3813	23	23	new	new	ADJ
cana-3813	23	24	market	market	NOUN
cana-3813	23	25	situations	situation	NOUN
cana-3813	23	26	quickly	quickly	ADV
cana-3813	23	27	.	.	PUNCT
cana-3813	24	1	as	as	ADP
cana-3813	24	2	a	a	DET
cana-3813	24	3	result	result	NOUN
cana-3813	24	4	,	,	PUNCT
cana-3813	24	5	inventory	inventory	NOUN
cana-3813	24	6	management	management	NOUN
cana-3813	24	7	in	in	ADP
cana-3813	24	8	the	the	DET
cana-3813	24	9	retail	retail	ADJ
cana-3813	24	10	business	business	NOUN
cana-3813	24	11	will	will	AUX
cana-3813	24	12	have	have	VERB
cana-3813	24	13	a	a	DET
cana-3813	24	14	significant	significant	ADJ
cana-3813	24	15	impact	impact	NOUN
cana-3813	24	16	.	.	PUNCT
cana-3813	25	1	as	as	SCONJ
cana-3813	25	2	indicated	indicate	VERB
cana-3813	25	3	by	by	ADP
cana-3813	25	4	karna	karna	PROPN
cana-3813	25	5	ghose	ghose	PROPN
cana-3813	25	6	,	,	PUNCT
cana-3813	25	7	guard	guard	NOUN
cana-3813	25	8	profitability	profitability	NOUN
cana-3813	25	9	,	,	PUNCT
cana-3813	25	10	and	and	CCONJ
cana-3813	25	11	increase	increase	VERB
cana-3813	25	12	consumer	consumer	NOUN
cana-3813	25	13	satisfaction	satisfaction	NOUN
cana-3813	25	14	,	,	PUNCT
cana-3813	25	15	optimum	optimum	ADJ
cana-3813	25	16	inventory	inventory	NOUN
cana-3813	25	17	proper	proper	ADJ
cana-3813	25	18	management	management	NOUN
cana-3813	25	19	will	will	AUX
cana-3813	25	20	store	store	VERB
cana-3813	25	21	operations	operation	NOUN
cana-3813	25	22	,	,	PUNCT
cana-3813	25	23	purchases	purchase	NOUN
cana-3813	25	24	and	and	CCONJ
cana-3813	25	25	decrease	decrease	NOUN
cana-3813	25	26	costs	cost	VERB
cana-3813	25	27	retailers	retailer	NOUN
cana-3813	25	28	from	from	ADP
cana-3813	25	29	stockouts	stockout	NOUN
cana-3813	25	30	and	and	CCONJ
cana-3813	25	31	improve	improve	VERB
cana-3813	25	32	sales	sale	NOUN
cana-3813	25	33	compete	compete	VERB
cana-3813	25	34	fairly	fairly	ADV
cana-3813	25	35	on	on	ADP
cana-3813	25	36	dynamic	dynamic	ADJ
cana-3813	25	37	markets	market	NOUN
cana-3813	25	38	[	[	X
cana-3813	25	39	4	4	NUM
cana-3813	25	40	]	]	PUNCT
cana-3813	25	41	.	.	PUNCT
cana-3813	26	1	additionally	additionally	ADV
cana-3813	26	2	,	,	PUNCT
cana-3813	26	3	good	good	ADJ
cana-3813	26	4	inventory	inventory	NOUN
cana-3813	26	5	control	control	NOUN
cana-3813	26	6	will	will	AUX
cana-3813	26	7	allow	allow	VERB
cana-3813	26	8	retailers	retailer	NOUN
cana-3813	26	9	to	to	PART
cana-3813	26	10	make	make	VERB
cana-3813	26	11	precise	precise	ADJ
cana-3813	26	12	predictions	prediction	NOUN
cana-3813	26	13	about	about	ADP
cana-3813	26	14	consumer	consumer	NOUN
cana-3813	26	15	desires	desire	NOUN
cana-3813	26	16	and	and	CCONJ
cana-3813	26	17	trends	trend	NOUN
cana-3813	26	18	,	,	PUNCT
cana-3813	26	19	conducting	conduct	VERB
cana-3813	26	20	their	their	PRON
cana-3813	26	21	operations	operation	NOUN
cana-3813	26	22	more	more	ADV
cana-3813	26	23	strategically	strategically	ADV
cana-3813	26	24	and	and	CCONJ
cana-3813	26	25	responding	respond	VERB
cana-3813	26	26	better	well	ADV
cana-3813	26	27	to	to	ADP
cana-3813	26	28	shifting	shift	VERB
cana-3813	26	29	needs	need	NOUN
cana-3813	26	30	and	and	CCONJ
cana-3813	26	31	wants	want	VERB
cana-3813	26	32	.	.	PUNCT
cana-3813	27	1	therefore	therefore	ADV
cana-3813	27	2	,	,	PUNCT
cana-3813	27	3	in	in	ADP
cana-3813	27	4	this	this	DET
cana-3813	27	5	paper	paper	NOUN
cana-3813	27	6	we	we	PRON
cana-3813	27	7	have	have	AUX
cana-3813	27	8	proposed	propose	VERB
cana-3813	27	9	a	a	DET
cana-3813	27	10	solution	solution	NOUN
cana-3813	27	11	for	for	ADP
cana-3813	27	12	advanced	advanced	ADJ
cana-3813	27	13	inventory	inventory	NOUN
cana-3813	27	14	management	management	NOUN
cana-3813	27	15	system	system	NOUN
cana-3813	27	16	using	use	VERB
cana-3813	27	17	machine	machine	NOUN
cana-3813	27	18	learning	learning	NOUN
cana-3813	27	19	and	and	CCONJ
cana-3813	27	20	deep	deep	ADJ
cana-3813	27	21	learning	learning	NOUN
cana-3813	27	22	to	to	PART
cana-3813	27	23	address	address	VERB
cana-3813	27	24	the	the	DET
cana-3813	27	25	backorders	backorder	NOUN
cana-3813	27	26	and	and	CCONJ
cana-3813	27	27	providing	provide	VERB
cana-3813	27	28	data	datum	NOUN
cana-3813	27	29	analysis	analysis	NOUN
cana-3813	27	30	and	and	CCONJ
cana-3813	27	31	predictive	predictive	ADJ
cana-3813	27	32	analytics	analytic	NOUN
cana-3813	27	33	.	.	PUNCT
cana-3813	28	1	2	2	X
cana-3813	28	2	.	.	X
cana-3813	28	3	related	relate	VERB
cana-3813	28	4	work	work	NOUN
cana-3813	28	5	the	the	DET
cana-3813	28	6	development	development	NOUN
cana-3813	28	7	and	and	CCONJ
cana-3813	28	8	implementation	implementation	NOUN
cana-3813	28	9	of	of	ADP
cana-3813	28	10	inventory	inventory	NOUN
cana-3813	28	11	management	management	NOUN
cana-3813	28	12	systems	system	NOUN
cana-3813	28	13	in	in	ADP
cana-3813	28	14	the	the	DET
cana-3813	28	15	retail	retail	NOUN
cana-3813	28	16	.	.	PUNCT
cana-3813	29	1	inventory	inventory	NOUN
cana-3813	29	2	management	management	NOUN
cana-3813	29	3	systems	system	NOUN
cana-3813	29	4	established	establish	VERB
cana-3813	29	5	in	in	ADP
cana-3813	29	6	the	the	DET
cana-3813	29	7	retail	retail	ADJ
cana-3813	29	8	industry	industry	NOUN
cana-3813	29	9	have	have	AUX
cana-3813	29	10	become	become	VERB
cana-3813	29	11	increasingly	increasingly	ADV
cana-3813	29	12	complex	complex	ADJ
cana-3813	29	13	and	and	CCONJ
cana-3813	29	14	sophisticated	sophisticated	ADJ
cana-3813	29	15	to	to	PART
cana-3813	29	16	support	support	VERB
cana-3813	29	17	the	the	DET
cana-3813	29	18	contingencies	contingency	NOUN
cana-3813	29	19	of	of	ADP
cana-3813	29	20	supply	supply	NOUN
cana-3813	29	21	chain	chain	NOUN
cana-3813	29	22	operations	operation	NOUN
cana-3813	29	23	.	.	PUNCT
cana-3813	30	1	however	however	ADV
cana-3813	30	2	,	,	PUNCT
cana-3813	30	3	some	some	DET
cana-3813	30	4	limitations	limitation	NOUN
cana-3813	30	5	have	have	AUX
cana-3813	30	6	retained	retain	VERB
cana-3813	30	7	over	over	ADP
cana-3813	30	8	these	these	DET
cana-3813	30	9	systems	system	NOUN
cana-3813	30	10	.	.	PUNCT
cana-3813	31	1	first	first	ADV
cana-3813	31	2	,	,	PUNCT
cana-3813	31	3	traditional	traditional	ADJ
cana-3813	31	4	inventory	inventory	NOUN
cana-3813	31	5	management	management	NOUN
cana-3813	31	6	systems	system	NOUN
cana-3813	31	7	are	be	AUX
cana-3813	31	8	often	often	ADV
cana-3813	31	9	reliant	reliant	ADJ
cana-3813	31	10	on	on	ADP
cana-3813	31	11	manual	manual	ADJ
cana-3813	31	12	work	work	NOUN
cana-3813	31	13	as	as	ADV
cana-3813	31	14	well	well	ADV
cana-3813	31	15	as	as	ADP
cana-3813	31	16	simple	simple	ADJ
cana-3813	31	17	models	model	NOUN
cana-3813	31	18	that	that	PRON
cana-3813	31	19	may	may	AUX
cana-3813	31	20	lead	lead	VERB
cana-3813	31	21	to	to	ADP
cana-3813	31	22	low	low	ADJ
cana-3813	31	23	efficiency	efficiency	NOUN
cana-3813	31	24	.	.	PUNCT
cana-3813	32	1	precisely	precisely	ADV
cana-3813	32	2	,	,	PUNCT
cana-3813	32	3	such	such	ADJ
cana-3813	32	4	systems	system	NOUN
cana-3813	32	5	may	may	AUX
cana-3813	32	6	not	not	PART
cana-3813	32	7	promptly	promptly	ADV
cana-3813	32	8	adjust	adjust	VERB
cana-3813	32	9	the	the	DET
cana-3813	32	10	supply	supply	NOUN
cana-3813	32	11	to	to	ADP
cana-3813	32	12	the	the	DET
cana-3813	32	13	dynamic	dynamic	ADJ
cana-3813	32	14	needs	need	NOUN
cana-3813	32	15	of	of	ADP
cana-3813	32	16	the	the	DET
cana-3813	32	17	customer	customer	NOUN
cana-3813	32	18	creating	create	VERB
cana-3813	32	19	either	either	CCONJ
cana-3813	32	20	stockout	stockout	NOUN
cana-3813	32	21	or	or	CCONJ
cana-3813	32	22	overstocking	overstocking	ADJ
cana-3813	32	23	situations	situation	NOUN
cana-3813	32	24	,	,	PUNCT
cana-3813	32	25	representing	represent	VERB
cana-3813	32	26	immediate	immediate	ADJ
cana-3813	32	27	risks	risk	NOUN
cana-3813	32	28	to	to	ADP
cana-3813	32	29	customer	customer	NOUN
cana-3813	32	30	satisfaction	satisfaction	NOUN
cana-3813	32	31	and	and	CCONJ
cana-3813	32	32	bottom	bottom	ADJ
cana-3813	32	33	line	line	NOUN
cana-3813	33	1	[	[	X
cana-3813	33	2	2	2	NUM
cana-3813	33	3	]	]	PUNCT
cana-3813	33	4	.	.	PUNCT
cana-3813	34	1	another	another	DET
cana-3813	34	2	limitation	limitation	NOUN
cana-3813	34	3	is	be	AUX
cana-3813	34	4	the	the	DET
cana-3813	34	5	absence	absence	NOUN
cana-3813	34	6	of	of	ADP
cana-3813	34	7	real	real	ADJ
cana-3813	34	8	-	-	PUNCT
cana-3813	34	9	time	time	NOUN
cana-3813	34	10	data	datum	NOUN
cana-3813	34	11	integration	integration	NOUN
cana-3813	34	12	and	and	CCONJ
cana-3813	34	13	analytics	analytic	NOUN
cana-3813	34	14	that	that	PRON
cana-3813	34	15	precludes	preclude	VERB
cana-3813	34	16	the	the	DET
cana-3813	34	17	supply	supply	NOUN
cana-3813	34	18	chain	chain	NOUN
cana-3813	34	19	members	member	NOUN
cana-3813	34	20	from	from	ADP
cana-3813	34	21	taking	take	VERB
cana-3813	34	22	informed	inform	VERB
cana-3813	34	23	,	,	PUNCT
cana-3813	34	24	immediate	immediate	ADJ
cana-3813	34	25	actions	action	NOUN
cana-3813	34	26	in	in	ADP
cana-3813	34	27	a	a	DET
cana-3813	34	28	highly	highly	ADV
cana-3813	34	29	dynamic	dynamic	ADJ
cana-3813	34	30	market	market	NOUN
cana-3813	34	31	.	.	PUNCT
cana-3813	35	1	as	as	SCONJ
cana-3813	35	2	there	there	PRON
cana-3813	35	3	is	be	VERB
cana-3813	35	4	limited	limited	ADJ
cana-3813	35	5	literature	literature	NOUN
cana-3813	35	6	on	on	ADP
cana-3813	35	7	advanced	advanced	ADJ
cana-3813	35	8	inventory	inventory	NOUN
cana-3813	35	9	management	management	NOUN
cana-3813	35	10	system	system	NOUN
cana-3813	35	11	using	use	VERB
cana-3813	35	12	machine	machine	NOUN
cana-3813	35	13	learning	learning	NOUN
cana-3813	35	14	and	and	CCONJ
cana-3813	35	15	deep	deep	ADJ
cana-3813	35	16	learning	learning	NOUN
cana-3813	35	17	is	be	AUX
cana-3813	35	18	available	available	ADJ
cana-3813	35	19	.	.	PUNCT
cana-3813	36	1	the	the	DET
cana-3813	36	2	existing	exist	VERB
cana-3813	36	3	contribution	contribution	NOUN
cana-3813	36	4	from	from	ADP
cana-3813	36	5	different	different	ADJ
cana-3813	36	6	researchers	researcher	NOUN
cana-3813	36	7	is	be	AUX
cana-3813	36	8	given	give	VERB
cana-3813	36	9	as	as	SCONJ
cana-3813	36	10	follows	follow	VERB
cana-3813	36	11	.	.	PUNCT
cana-3813	37	1	liming	lime	VERB
cana-3813	37	2	liu	liu	PROPN
cana-3813	37	3	.	.	PUNCT
cana-3813	38	1	xue	xue	PROPN
cana-3813	38	2	-	-	PUNCT
cana-3813	38	3	ming	ming	PROPN
cana-3813	38	4	yuan	yuan	PROPN
cana-3813	38	5	[	[	X
cana-3813	38	6	13	13	NUM
cana-3813	38	7	]	]	PUNCT
cana-3813	38	8	rightly	rightly	ADV
cana-3813	38	9	stated	state	VERB
cana-3813	38	10	that	that	SCONJ
cana-3813	38	11	the	the	DET
cana-3813	38	12	primary	primary	ADJ
cana-3813	38	13	goal	goal	NOUN
cana-3813	38	14	of	of	ADP
cana-3813	38	15	supply	supply	NOUN
cana-3813	38	16	chains	chain	NOUN
cana-3813	38	17	is	be	AUX
cana-3813	38	18	to	to	PART
cana-3813	38	19	meet	meet	VERB
cana-3813	38	20	consumer	consumer	NOUN
cana-3813	38	21	demands	demand	NOUN
cana-3813	38	22	at	at	ADP
cana-3813	38	23	the	the	DET
cana-3813	38	24	appropriate	appropriate	ADJ
cana-3813	38	25	time	time	NOUN
cana-3813	38	26	,	,	PUNCT
cana-3813	38	27	location	location	NOUN
cana-3813	38	28	,	,	PUNCT
cana-3813	38	29	and	and	CCONJ
cana-3813	38	30	quality	quality	NOUN
cana-3813	38	31	.	.	PUNCT
cana-3813	39	1	reduced	reduce	VERB
cana-3813	39	2	lead	lead	PROPN
cana-3813	39	3	times	time	NOUN
cana-3813	39	4	and	and	CCONJ
cana-3813	39	5	expenses	expense	NOUN
cana-3813	39	6	,	,	PUNCT
cana-3813	39	7	improved	improve	VERB
cana-3813	39	8	customer	customer	NOUN
cana-3813	39	9	service	service	NOUN
cana-3813	39	10	levels	level	NOUN
cana-3813	39	11	,	,	PUNCT
cana-3813	39	12	and	and	CCONJ
cana-3813	39	13	increased	increase	VERB
cana-3813	39	14	product	product	NOUN
cana-3813	39	15	quality	quality	NOUN
cana-3813	39	16	are	be	AUX
cana-3813	39	17	the	the	DET
cana-3813	39	18	traits	trait	NOUN
cana-3813	39	19	that	that	PRON
cana-3813	39	20	determine	determine	VERB
cana-3813	39	21	a	a	DET
cana-3813	39	22	company	company	NOUN
cana-3813	39	23	's	's	PART
cana-3813	39	24	competitiveness	competitiveness	NOUN
cana-3813	39	25	in	in	ADP
cana-3813	39	26	today	today	NOUN
cana-3813	39	27	's	's	PART
cana-3813	39	28	market	market	NOUN
cana-3813	39	29	.	.	PUNCT
cana-3813	40	1	m.	m.	NOUN
cana-3813	40	2	jakšič	jakšič	PROPN
cana-3813	40	3	.	.	PUNCT
cana-3813	41	1	j.c	j.c	PROPN
cana-3813	41	2	.	.	PROPN
cana-3813	41	3	fransoo	fransoo	PROPN
cana-3813	42	1	[	[	X
cana-3813	42	2	11	11	NUM
cana-3813	42	3	]	]	PUNCT
cana-3813	42	4	,	,	PUNCT
cana-3813	42	5	has	have	AUX
cana-3813	42	6	developed	develop	VERB
cana-3813	42	7	an	an	DET
cana-3813	42	8	inventory	inventory	NOUN
cana-3813	42	9	control	control	NOUN
cana-3813	42	10	problem	problem	NOUN
cana-3813	42	11	for	for	ADP
cana-3813	42	12	a	a	DET
cana-3813	42	13	retailer	retailer	NOUN
cana-3813	42	14	operating	operate	VERB
cana-3813	42	15	under	under	ADP
cana-3813	42	16	stochastic	stochastic	ADJ
cana-3813	42	17	demand	demand	NOUN
cana-3813	42	18	and	and	CCONJ
cana-3813	42	19	limited	limited	ADJ
cana-3813	42	20	supply	supply	NOUN
cana-3813	42	21	,	,	PUNCT
cana-3813	42	22	as	as	ADV
cana-3813	42	23	well	well	ADV
cana-3813	42	24	as	as	ADP
cana-3813	42	25	numerical	numerical	ADJ
cana-3813	42	26	analysis	analysis	NOUN
cana-3813	42	27	to	to	PART
cana-3813	42	28	quantify	quantify	VERB
cana-3813	42	29	the	the	DET
cana-3813	42	30	benefits	benefit	NOUN
cana-3813	42	31	of	of	ADP
cana-3813	42	32	supply	supply	NOUN
cana-3813	42	33	backordering	backordere	VERB
cana-3813	42	34	and	and	CCONJ
cana-3813	42	35	the	the	DET
cana-3813	42	36	value	value	NOUN
cana-3813	42	37	of	of	ADP
cana-3813	42	38	the	the	DET
cana-3813	42	39	cancellation	cancellation	NOUN
cana-3813	42	40	option	option	NOUN
cana-3813	42	41	,	,	PUNCT
cana-3813	42	42	revealing	reveal	VERB
cana-3813	42	43	various	various	ADJ
cana-3813	42	44	managerial	managerial	ADJ
cana-3813	42	45	insights	insight	NOUN
cana-3813	42	46	.	.	PUNCT
cana-3813	43	1	ntakolia	ntakolia	PROPN
cana-3813	43	2	,	,	PUNCT
cana-3813	43	3	c.	c.	PROPN
cana-3813	43	4	kokkotis	kokkotis	PROPN
cana-3813	43	5	c.	c.	PROPN
cana-3813	43	6	,	,	PUNCT
cana-3813	43	7	et	et	PROPN
cana-3813	43	8	al	al	PROPN
cana-3813	43	9	.	.	PUNCT
cana-3813	44	1	[	[	X
cana-3813	44	2	12	12	NUM
cana-3813	44	3	]	]	PUNCT
cana-3813	44	4	proposed	propose	VERB
cana-3813	44	5	and	and	CCONJ
cana-3813	44	6	compared	compare	VERB
cana-3813	44	7	various	various	ADJ
cana-3813	44	8	machine	machine	NOUN
cana-3813	44	9	learning	learning	NOUN
cana-3813	44	10	models	model	NOUN
cana-3813	44	11	for	for	ADP
cana-3813	44	12	solving	solve	VERB
cana-3813	44	13	the	the	DET
cana-3813	44	14	binary	binary	ADJ
cana-3813	44	15	classification	classification	NOUN
cana-3813	44	16	problem	problem	NOUN
cana-3813	44	17	of	of	ADP
cana-3813	44	18	backorder	backorder	NOUN
cana-3813	44	19	prediction	prediction	NOUN
cana-3813	44	20	,	,	PUNCT
cana-3813	44	21	followed	follow	VERB
cana-3813	44	22	by	by	ADP
cana-3813	44	23	model	model	NOUN
cana-3813	44	24	calibration	calibration	NOUN
cana-3813	44	25	and	and	CCONJ
cana-3813	44	26	post	post	ADJ
cana-3813	44	27	-	-	ADJ
cana-3813	44	28	hoc	hoc	ADJ
cana-3813	44	29	explainability	explainability	NOUN
cana-3813	44	30	using	use	VERB
cana-3813	44	31	the	the	DET
cana-3813	44	32	shap	shap	PROPN
cana-3813	44	33	model	model	NOUN
cana-3813	44	34	to	to	PART
cana-3813	44	35	discover	discover	VERB
cana-3813	44	36	and	and	CCONJ
cana-3813	44	37	perceive	perceive	VERB
cana-3813	44	38	the	the	DET
cana-3813	44	39	most	most	ADV
cana-3813	44	40	significant	significant	ADJ
cana-3813	44	41	characteristics	characteristic	NOUN
cana-3813	44	42	that	that	PRON
cana-3813	44	43	determine	determine	VERB
cana-3813	44	44	material	material	NOUN
cana-3813	44	45	communications	communication	NOUN
cana-3813	44	46	on	on	ADP
cana-3813	44	47	applied	apply	VERB
cana-3813	44	48	nonlinear	nonlinear	ADJ
cana-3813	44	49	analysis	analysis	NOUN
cana-3813	44	50	issn	issn	NOUN
cana-3813	44	51	:	:	PUNCT
cana-3813	44	52	1074	1074	NUM
cana-3813	44	53	-	-	PUNCT
cana-3813	44	54	133x	133x	NUM
cana-3813	44	55	vol	vol	NOUN
cana-3813	44	56	32	32	NUM
cana-3813	44	57	no	no	NOUN
cana-3813	44	58	.	.	PUNCT
cana-3813	45	1	8s	8s	PROPN
cana-3813	45	2	(	(	PUNCT
cana-3813	45	3	2025	2025	NUM
cana-3813	45	4	)	)	PUNCT
cana-3813	45	5	790	790	NUM
cana-3813	45	6	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-3813	45	7	backorder	backorder	NOUN
cana-3813	45	8	.	.	PUNCT
cana-3813	46	1	jean	jean	PROPN
cana-3813	46	2	-	-	PUNCT
cana-3813	46	3	claude	claude	PROPN
cana-3813	46	4	munyaka	munyaka	PROPN
cana-3813	46	5	baraka	baraka	PROPN
cana-3813	46	6	.	.	PUNCT
cana-3813	47	1	sarma	sarma	PROPN
cana-3813	47	2	venkata	venkata	PROPN
cana-3813	47	3	yadavalli	yadavalli	PROPN
cana-3813	48	1	[	[	X
cana-3813	48	2	14	14	NUM
cana-3813	48	3	]	]	PUNCT
cana-3813	48	4	,	,	PUNCT
cana-3813	48	5	has	have	AUX
cana-3813	48	6	analysed	analyse	VERB
cana-3813	48	7	inventory	inventory	NOUN
cana-3813	48	8	management	management	NOUN
cana-3813	48	9	strategies	strategy	NOUN
cana-3813	48	10	and	and	CCONJ
cana-3813	48	11	implementations	implementation	NOUN
cana-3813	48	12	in	in	ADP
cana-3813	48	13	the	the	DET
cana-3813	48	14	context	context	NOUN
cana-3813	48	15	of	of	ADP
cana-3813	48	16	growing	grow	VERB
cana-3813	48	17	human	human	ADJ
cana-3813	48	18	demand	demand	NOUN
cana-3813	48	19	and	and	CCONJ
cana-3813	48	20	also	also	ADV
cana-3813	48	21	considered	consider	VERB
cana-3813	48	22	the	the	DET
cana-3813	48	23	deterministic	deterministic	ADJ
cana-3813	48	24	independent	independent	ADJ
cana-3813	48	25	and	and	CCONJ
cana-3813	48	26	dependent	dependent	ADJ
cana-3813	48	27	character	character	NOUN
cana-3813	48	28	of	of	ADP
cana-3813	48	29	demand	demand	NOUN
cana-3813	48	30	and	and	CCONJ
cana-3813	48	31	its	its	PRON
cana-3813	48	32	relative	relative	ADJ
cana-3813	48	33	impact	impact	NOUN
cana-3813	48	34	on	on	ADP
cana-3813	48	35	inventory	inventory	NOUN
cana-3813	48	36	management	management	NOUN
cana-3813	48	37	in	in	ADP
cana-3813	48	38	operations	operation	NOUN
cana-3813	48	39	.	.	PUNCT
cana-3813	49	1	chuning	chune	VERB
cana-3813	49	2	deng	deng	PROPN
cana-3813	49	3	.	.	PUNCT
cana-3813	50	1	yongji	yongji	PROPN
cana-3813	50	2	liu	liu	PROPN
cana-3813	51	1	[	[	X
cana-3813	51	2	15	15	NUM
cana-3813	51	3	]	]	PUNCT
cana-3813	51	4	,	,	PUNCT
cana-3813	51	5	have	have	AUX
cana-3813	51	6	developed	develop	VERB
cana-3813	51	7	a	a	DET
cana-3813	51	8	deep	deep	ADJ
cana-3813	51	9	inventory	inventory	NOUN
cana-3813	51	10	management	management	NOUN
cana-3813	51	11	(	(	PUNCT
cana-3813	51	12	dim	dim	NOUN
cana-3813	51	13	)	)	PUNCT
cana-3813	51	14	solution	solution	NOUN
cana-3813	51	15	that	that	PRON
cana-3813	51	16	employs	employ	VERB
cana-3813	51	17	deep	deep	ADJ
cana-3813	51	18	learning	learning	NOUN
cana-3813	51	19	's	's	PART
cana-3813	51	20	long	long	ADJ
cana-3813	51	21	short	short	ADJ
cana-3813	51	22	-	-	PUNCT
cana-3813	51	23	term	term	NOUN
cana-3813	51	24	memory	memory	NOUN
cana-3813	51	25	(	(	PUNCT
cana-3813	51	26	lstm	lstm	NOUN
cana-3813	51	27	)	)	PUNCT
cana-3813	51	28	theory	theory	NOUN
cana-3813	51	29	.	.	PUNCT
cana-3813	52	1	the	the	DET
cana-3813	52	2	experimental	experimental	ADJ
cana-3813	52	3	findings	finding	NOUN
cana-3813	52	4	demonstrate	demonstrate	VERB
cana-3813	52	5	that	that	SCONJ
cana-3813	52	6	dim	dim	PROPN
cana-3813	52	7	's	's	PART
cana-3813	52	8	average	average	ADJ
cana-3813	52	9	inventory	inventory	NOUN
cana-3813	52	10	demand	demand	NOUN
cana-3813	52	11	prediction	prediction	NOUN
cana-3813	52	12	accuracy	accuracy	NOUN
cana-3813	52	13	surpasses	surpasse	NOUN
cana-3813	52	14	80	80	NUM
cana-3813	52	15	%	%	NOUN
cana-3813	52	16	,	,	PUNCT
cana-3813	52	17	which	which	PRON
cana-3813	52	18	may	may	AUX
cana-3813	52	19	immediately	immediately	ADV
cana-3813	52	20	identify	identify	VERB
cana-3813	52	21	anomalous	anomalous	ADJ
cana-3813	52	22	inventory	inventory	NOUN
cana-3813	52	23	actions	action	NOUN
cana-3813	52	24	and	and	CCONJ
cana-3813	52	25	cut	cut	VERB
cana-3813	52	26	inventory	inventory	NOUN
cana-3813	52	27	costs	cost	NOUN
cana-3813	52	28	by	by	ADP
cana-3813	52	29	around	around	ADV
cana-3813	52	30	25	25	NUM
cana-3813	52	31	%	%	NOUN
cana-3813	52	32	when	when	SCONJ
cana-3813	52	33	compared	compare	VERB
cana-3813	52	34	to	to	ADP
cana-3813	52	35	other	other	ADJ
cana-3813	52	36	cutting	cutting	NOUN
cana-3813	52	37	-	-	PUNCT
cana-3813	52	38	edge	edge	NOUN
cana-3813	52	39	approaches	approach	NOUN
cana-3813	52	40	.	.	PUNCT
cana-3813	53	1	santis	santis	PROPN
cana-3813	53	2	,	,	PUNCT
cana-3813	53	3	rodrigo	rodrigo	PROPN
cana-3813	53	4	&	&	CCONJ
cana-3813	53	5	pestana	pestana	PROPN
cana-3813	53	6	de	de	PROPN
cana-3813	53	7	aguiar	aguiar	PROPN
cana-3813	53	8	,	,	PUNCT
cana-3813	53	9	eduardo	eduardo	PROPN
cana-3813	53	10	&	&	CCONJ
cana-3813	53	11	goliatt	goliatt	PROPN
cana-3813	53	12	,	,	PUNCT
cana-3813	53	13	leonardo	leonardo	PROPN
cana-3813	53	14	.	.	PUNCT
cana-3813	54	1	[	[	X
cana-3813	54	2	9	9	NUM
cana-3813	54	3	]	]	PUNCT
cana-3813	54	4	have	have	AUX
cana-3813	54	5	studied	study	VERB
cana-3813	54	6	various	various	ADJ
cana-3813	54	7	machine	machine	NOUN
cana-3813	54	8	learning	learn	VERB
cana-3813	54	9	classifiers	classifier	NOUN
cana-3813	54	10	inorder	inorder	VERB
cana-3813	54	11	to	to	PART
cana-3813	54	12	suggest	suggest	VERB
cana-3813	54	13	a	a	DET
cana-3813	54	14	predictive	predictive	ADJ
cana-3813	54	15	model	model	NOUN
cana-3813	54	16	in	in	ADP
cana-3813	54	17	this	this	DET
cana-3813	54	18	imbalanced	imbalanced	ADJ
cana-3813	54	19	class	class	NOUN
cana-3813	54	20	problem	problem	NOUN
cana-3813	54	21	,	,	PUNCT
cana-3813	54	22	where	where	SCONJ
cana-3813	54	23	the	the	DET
cana-3813	54	24	relative	relative	ADJ
cana-3813	54	25	frequency	frequency	NOUN
cana-3813	54	26	of	of	ADP
cana-3813	54	27	goods	good	NOUN
cana-3813	54	28	that	that	PRON
cana-3813	54	29	go	go	VERB
cana-3813	54	30	into	into	ADP
cana-3813	54	31	backorder	backorder	NOUN
cana-3813	54	32	is	be	AUX
cana-3813	54	33	unusual	unusual	ADJ
cana-3813	54	34	as	as	SCONJ
cana-3813	54	35	compared	compare	VERB
cana-3813	54	36	to	to	ADP
cana-3813	54	37	products	product	NOUN
cana-3813	54	38	that	that	PRON
cana-3813	54	39	do	do	VERB
cana-3813	54	40	not	not	PART
cana-3813	54	41	[	[	X
cana-3813	54	42	16	16	NUM
cana-3813	54	43	]	]	PUNCT
cana-3813	54	44	.	.	PUNCT
cana-3813	55	1	3	3	X
cana-3813	55	2	.	.	X
cana-3813	55	3	methodology	methodology	NOUN
cana-3813	55	4	the	the	DET
cana-3813	55	5	proposed	propose	VERB
cana-3813	55	6	system	system	NOUN
cana-3813	55	7	architecture	architecture	NOUN
cana-3813	55	8	incorporates	incorporate	VERB
cana-3813	55	9	various	various	ADJ
cana-3813	55	10	software	software	NOUN
cana-3813	55	11	and	and	CCONJ
cana-3813	55	12	tools	tool	NOUN
cana-3813	55	13	to	to	PART
cana-3813	55	14	develop	develop	VERB
cana-3813	55	15	an	an	DET
cana-3813	55	16	advanced	advanced	ADJ
cana-3813	55	17	inventory	inventory	NOUN
cana-3813	55	18	management	management	NOUN
cana-3813	55	19	solution	solution	NOUN
cana-3813	55	20	.	.	PUNCT
cana-3813	56	1	the	the	DET
cana-3813	56	2	logistic	logistic	ADJ
cana-3813	56	3	regression	regression	NOUN
cana-3813	56	4	(	(	PUNCT
cana-3813	56	5	default	default	NOUN
cana-3813	56	6	parameters	parameter	NOUN
cana-3813	56	7	)	)	PUNCT
cana-3813	56	8	has	have	AUX
cana-3813	56	9	been	be	AUX
cana-3813	56	10	used	use	VERB
cana-3813	56	11	to	to	PART
cana-3813	56	12	predict	predict	VERB
cana-3813	56	13	if	if	SCONJ
cana-3813	56	14	an	an	DET
cana-3813	56	15	item	item	NOUN
cana-3813	56	16	will	will	AUX
cana-3813	56	17	be	be	AUX
cana-3813	56	18	backordered	backordere	VERB
cana-3813	56	19	.	.	PUNCT
cana-3813	57	1	it	it	PRON
cana-3813	57	2	is	be	AUX
cana-3813	57	3	a	a	DET
cana-3813	57	4	probabilistic	probabilistic	ADJ
cana-3813	57	5	model	model	NOUN
cana-3813	57	6	that	that	PRON
cana-3813	57	7	predicts	predict	VERB
cana-3813	57	8	the	the	DET
cana-3813	57	9	likelihood	likelihood	NOUN
cana-3813	57	10	of	of	ADP
cana-3813	57	11	a	a	DET
cana-3813	57	12	binary	binary	ADJ
cana-3813	57	13	event	event	NOUN
cana-3813	57	14	and	and	CCONJ
cana-3813	57	15	then	then	ADV
cana-3813	57	16	assigns	assign	VERB
cana-3813	57	17	the	the	DET
cana-3813	57	18	instance	instance	NOUN
cana-3813	57	19	to	to	ADP
cana-3813	57	20	one	one	NUM
cana-3813	57	21	of	of	ADP
cana-3813	57	22	two	two	NUM
cana-3813	57	23	categories	category	NOUN
cana-3813	57	24	(	(	PUNCT
cana-3813	57	25	a	a	DET
cana-3813	57	26	surrogate	surrogate	NOUN
cana-3813	57	27	of	of	ADP
cana-3813	57	28	0.5	0.5	NUM
cana-3813	57	29	is	be	AUX
cana-3813	57	30	commonly	commonly	ADV
cana-3813	57	31	used	use	VERB
cana-3813	57	32	to	to	PART
cana-3813	57	33	classify	classify	VERB
cana-3813	57	34	the	the	DET
cana-3813	57	35	outcome	outcome	NOUN
cana-3813	57	36	)	)	PUNCT
cana-3813	57	37	.	.	PUNCT
cana-3813	58	1	we	we	PRON
cana-3813	58	2	picked	pick	VERB
cana-3813	58	3	logistic	logistic	ADJ
cana-3813	58	4	regression	regression	NOUN
cana-3813	58	5	because	because	SCONJ
cana-3813	58	6	it	it	PRON
cana-3813	58	7	is	be	AUX
cana-3813	58	8	simple	simple	ADJ
cana-3813	58	9	,	,	PUNCT
cana-3813	58	10	interpretable	interpretable	ADJ
cana-3813	58	11	,	,	PUNCT
cana-3813	58	12	and	and	CCONJ
cana-3813	58	13	efficient	efficient	ADJ
cana-3813	58	14	for	for	ADP
cana-3813	58	15	binary	binary	ADJ
cana-3813	58	16	classifications	classification	NOUN
cana-3813	58	17	.	.	PUNCT
cana-3813	59	1	it	it	PRON
cana-3813	59	2	includes	include	VERB
cana-3813	59	3	interpretable	interpretable	ADJ
cana-3813	59	4	variables	variable	NOUN
cana-3813	59	5	that	that	PRON
cana-3813	59	6	influence	influence	VERB
cana-3813	59	7	the	the	DET
cana-3813	59	8	likelihood	likelihood	NOUN
cana-3813	59	9	of	of	ADP
cana-3813	59	10	a	a	DET
cana-3813	59	11	backorder	backorder	NOUN
cana-3813	59	12	,	,	PUNCT
cana-3813	59	13	making	make	VERB
cana-3813	59	14	it	it	PRON
cana-3813	59	15	perfect	perfect	ADJ
cana-3813	59	16	for	for	ADP
cana-3813	59	17	use	use	NOUN
cana-3813	59	18	in	in	ADP
cana-3813	59	19	inventory	inventory	NOUN
cana-3813	59	20	management	management	NOUN
cana-3813	59	21	.	.	PUNCT
cana-3813	60	1	the	the	DET
cana-3813	60	2	models	model	NOUN
cana-3813	60	3	were	be	AUX
cana-3813	60	4	simple	simple	ADJ
cana-3813	60	5	logistic	logistic	ADJ
cana-3813	60	6	regression	regression	NOUN
cana-3813	60	7	models	model	NOUN
cana-3813	60	8	built	build	VERB
cana-3813	60	9	with	with	ADP
cana-3813	60	10	ten	ten	NUM
cana-3813	60	11	-	-	PUNCT
cana-3813	60	12	sorflow	sorflow	NOUN
cana-3813	60	13	.	.	PUNCT
cana-3813	61	1	we	we	PRON
cana-3813	61	2	divided	divide	VERB
cana-3813	61	3	the	the	DET
cana-3813	61	4	original	original	ADJ
cana-3813	61	5	dataset	dataset	NOUN
cana-3813	61	6	into	into	ADP
cana-3813	61	7	training	training	NOUN
cana-3813	61	8	and	and	CCONJ
cana-3813	61	9	test	test	NOUN
cana-3813	61	10	data	datum	NOUN
cana-3813	61	11	to	to	PART
cana-3813	61	12	evaluate	evaluate	VERB
cana-3813	61	13	the	the	DET
cana-3813	61	14	model	model	NOUN
cana-3813	61	15	's	's	PART
cana-3813	61	16	performance	performance	NOUN
cana-3813	61	17	.	.	PUNCT
cana-3813	62	1	gradient	gradient	ADJ
cana-3813	62	2	descent	descent	NOUN
cana-3813	62	3	was	be	AUX
cana-3813	62	4	used	use	VERB
cana-3813	62	5	to	to	PART
cana-3813	62	6	optimise	optimise	VERB
cana-3813	62	7	the	the	DET
cana-3813	62	8	model	model	NOUN
cana-3813	62	9	's	's	PART
cana-3813	62	10	weights	weight	NOUN
cana-3813	62	11	on	on	ADP
cana-3813	62	12	the	the	DET
cana-3813	62	13	training	training	NOUN
cana-3813	62	14	dataset	dataset	NOUN
cana-3813	62	15	.	.	PUNCT
cana-3813	63	1	during	during	ADP
cana-3813	63	2	this	this	DET
cana-3813	63	3	procedure	procedure	NOUN
cana-3813	63	4	,	,	PUNCT
cana-3813	63	5	the	the	DET
cana-3813	63	6	binary	binary	PROPN
cana-3813	63	7	cross	cross	PROPN
cana-3813	63	8	-	-	ADJ
cana-3813	63	9	entropy	entropy	ADJ
cana-3813	63	10	loss	loss	NOUN
cana-3813	63	11	is	be	AUX
cana-3813	63	12	optimised	optimise	VERB
cana-3813	63	13	,	,	PUNCT
cana-3813	63	14	resulting	result	VERB
cana-3813	63	15	in	in	ADP
cana-3813	63	16	accurate	accurate	ADJ
cana-3813	63	17	probability	probability	NOUN
cana-3813	63	18	forecasts	forecast	NOUN
cana-3813	63	19	for	for	ADP
cana-3813	63	20	binary	binary	ADJ
cana-3813	63	21	outcomes	outcome	NOUN
cana-3813	63	22	.	.	PUNCT
cana-3813	64	1	to	to	PART
cana-3813	64	2	increase	increase	VERB
cana-3813	64	3	the	the	DET
cana-3813	64	4	model	model	NOUN
cana-3813	64	5	's	's	PART
cana-3813	64	6	power	power	NOUN
cana-3813	64	7	,	,	PUNCT
cana-3813	64	8	hyperparameters	hyperparameter	NOUN
cana-3813	64	9	such	such	ADJ
cana-3813	64	10	as	as	ADP
cana-3813	64	11	the	the	DET
cana-3813	64	12	learning	learning	NOUN
cana-3813	64	13	rate	rate	NOUN
cana-3813	64	14	and	and	CCONJ
cana-3813	64	15	number	number	NOUN
cana-3813	64	16	of	of	ADP
cana-3813	64	17	epochs	epoch	NOUN
cana-3813	64	18	were	be	AUX
cana-3813	64	19	tuned	tune	VERB
cana-3813	64	20	.	.	PUNCT
cana-3813	65	1	cross	cross	ADJ
cana-3813	65	2	-	-	ADJ
cana-3813	65	3	validation	validation	ADJ
cana-3813	65	4	techniques	technique	NOUN
cana-3813	65	5	were	be	AUX
cana-3813	65	6	used	use	VERB
cana-3813	65	7	to	to	PART
cana-3813	65	8	prevent	prevent	VERB
cana-3813	65	9	overfitting	overfitting	NOUN
cana-3813	65	10	while	while	SCONJ
cana-3813	65	11	still	still	ADV
cana-3813	65	12	allowing	allow	VERB
cana-3813	65	13	the	the	DET
cana-3813	65	14	model	model	NOUN
cana-3813	65	15	to	to	PART
cana-3813	65	16	be	be	AUX
cana-3813	65	17	used	use	VERB
cana-3813	65	18	on	on	ADP
cana-3813	65	19	new	new	ADJ
cana-3813	65	20	data	data	NOUN
cana-3813	65	21	sets	set	NOUN
cana-3813	65	22	.	.	PUNCT
cana-3813	66	1	to	to	PART
cana-3813	66	2	improve	improve	VERB
cana-3813	66	3	model	model	NOUN
cana-3813	66	4	prediction	prediction	NOUN
cana-3813	66	5	,	,	PUNCT
cana-3813	66	6	a	a	DET
cana-3813	66	7	variety	variety	NOUN
cana-3813	66	8	of	of	ADP
cana-3813	66	9	feature	feature	NOUN
cana-3813	66	10	engineering	engineering	NOUN
cana-3813	66	11	tactics	tactic	NOUN
cana-3813	66	12	were	be	AUX
cana-3813	66	13	utilised	utilise	VERB
cana-3813	66	14	,	,	PUNCT
cana-3813	66	15	including	include	VERB
cana-3813	66	16	changing	change	VERB
cana-3813	66	17	categorical	categorical	ADJ
cana-3813	66	18	variables	variable	NOUN
cana-3813	66	19	to	to	ADP
cana-3813	66	20	numerical	numerical	ADJ
cana-3813	66	21	values	value	NOUN
cana-3813	66	22	and	and	CCONJ
cana-3813	66	23	removing	remove	VERB
cana-3813	66	24	superfluous	superfluous	ADJ
cana-3813	66	25	fea	fea	NOUN
cana-3813	66	26	-	-	PUNCT
cana-3813	66	27	tures	ture	NOUN
cana-3813	66	28	like'sku	like'sku	NOUN
cana-3813	66	29	'	'	PUNCT
cana-3813	66	30	.	.	PUNCT
cana-3813	67	1	normalisation	normalisation	NOUN
cana-3813	67	2	was	be	AUX
cana-3813	67	3	employed	employ	VERB
cana-3813	67	4	in	in	ADP
cana-3813	67	5	place	place	NOUN
cana-3813	67	6	of	of	ADP
cana-3813	67	7	continuous	continuous	ADJ
cana-3813	67	8	features	feature	NOUN
cana-3813	67	9	to	to	PART
cana-3813	67	10	prevent	prevent	VERB
cana-3813	67	11	a	a	DET
cana-3813	67	12	feature	feature	NOUN
cana-3813	67	13	from	from	ADP
cana-3813	67	14	taking	take	VERB
cana-3813	67	15	precedence	precedence	NOUN
cana-3813	67	16	when	when	SCONJ
cana-3813	67	17	training	train	VERB
cana-3813	67	18	the	the	DET
cana-3813	67	19	model	model	NOUN
cana-3813	67	20	.	.	PUNCT
cana-3813	68	1	the	the	DET
cana-3813	68	2	evaluation	evaluation	NOUN
cana-3813	68	3	was	be	AUX
cana-3813	68	4	carried	carry	VERB
cana-3813	68	5	out	out	ADP
cana-3813	68	6	using	use	VERB
cana-3813	68	7	numerous	numerous	ADJ
cana-3813	68	8	evaluation	evaluation	NOUN
cana-3813	68	9	criteria	criterion	NOUN
cana-3813	68	10	,	,	PUNCT
cana-3813	68	11	such	such	ADJ
cana-3813	68	12	as	as	ADP
cana-3813	68	13	logistic	logistic	ADJ
cana-3813	68	14	regression	regression	NOUN
cana-3813	68	15	model	model	NOUN
cana-3813	68	16	accuracy	accuracy	NOUN
cana-3813	68	17	,	,	PUNCT
cana-3813	68	18	precision	precision	NOUN
cana-3813	68	19	score	score	NOUN
cana-3813	68	20	,	,	PUNCT
cana-3813	68	21	recall	recall	NOUN
cana-3813	68	22	score	score	NOUN
cana-3813	68	23	,	,	PUNCT
cana-3813	68	24	and	and	CCONJ
cana-3813	68	25	f1	f1	NOUN
cana-3813	68	26	score	score	NOUN
cana-3813	68	27	.	.	PUNCT
cana-3813	69	1	these	these	DET
cana-3813	69	2	scores	score	NOUN
cana-3813	69	3	provide	provide	VERB
cana-3813	69	4	a	a	DET
cana-3813	69	5	summary	summary	NOUN
cana-3813	69	6	of	of	ADP
cana-3813	69	7	the	the	DET
cana-3813	69	8	model	model	NOUN
cana-3813	69	9	's	's	PART
cana-3813	69	10	performance	performance	NOUN
cana-3813	69	11	.	.	PUNCT
cana-3813	70	1	in	in	ADP
cana-3813	70	2	addition	addition	NOUN
cana-3813	70	3	,	,	PUNCT
cana-3813	70	4	the	the	DET
cana-3813	70	5	relationship	relationship	NOUN
cana-3813	70	6	between	between	ADP
cana-3813	70	7	true	true	ADJ
cana-3813	70	8	and	and	CCONJ
cana-3813	70	9	false	false	ADJ
cana-3813	70	10	positive	positive	ADJ
cana-3813	70	11	rates	rate	NOUN
cana-3813	70	12	was	be	AUX
cana-3813	70	13	described	describe	VERB
cana-3813	70	14	using	use	VERB
cana-3813	70	15	receiver	receiver	NOUN
cana-3813	70	16	operating	operate	VERB
cana-3813	70	17	characteristic	characteristic	NOUN
cana-3813	70	18	(	(	PUNCT
cana-3813	70	19	roc	roc	PROPN
cana-3813	70	20	)	)	PUNCT
cana-3813	70	21	curves	curve	NOUN
cana-3813	70	22	and	and	CCONJ
cana-3813	70	23	area	area	NOUN
cana-3813	70	24	under	under	ADP
cana-3813	70	25	the	the	DET
cana-3813	70	26	roc	roc	PROPN
cana-3813	70	27	curve	curve	NOUN
cana-3813	70	28	(	(	PUNCT
cana-3813	70	29	auc	auc	NOUN
cana-3813	70	30	)	)	PUNCT
cana-3813	70	31	.	.	PUNCT
cana-3813	71	1	tensorflow	tensorflow	NOUN
cana-3813	71	2	is	be	AUX
cana-3813	71	3	a	a	DET
cana-3813	71	4	deep	deep	ADJ
cana-3813	71	5	learning	learning	NOUN
cana-3813	71	6	framework	framework	NOUN
cana-3813	71	7	designed	design	VERB
cana-3813	71	8	by	by	ADP
cana-3813	71	9	google	google	PROPN
cana-3813	71	10	llc	llc	PROPN
cana-3813	71	11	.	.	PUNCT
cana-3813	72	1	it	it	PRON
cana-3813	72	2	offers	offer	VERB
cana-3813	72	3	a	a	DET
cana-3813	72	4	comprehensive	comprehensive	ADJ
cana-3813	72	5	solution	solution	NOUN
cana-3813	72	6	for	for	ADP
cana-3813	72	7	developing	develop	VERB
cana-3813	72	8	and	and	CCONJ
cana-3813	72	9	deploying	deploy	VERB
cana-3813	72	10	machine	machine	NOUN
cana-3813	72	11	learning	learning	NOUN
cana-3813	72	12	models	model	NOUN
cana-3813	72	13	.	.	PUNCT
cana-3813	73	1	tensorflow	tensorflow	NOUN
cana-3813	73	2	's	's	PART
cana-3813	73	3	intrinsic	intrinsic	ADJ
cana-3813	73	4	flexibility	flexibility	NOUN
cana-3813	73	5	and	and	CCONJ
cana-3813	73	6	scalability	scalability	NOUN
cana-3813	73	7	make	make	VERB
cana-3813	73	8	it	it	PRON
cana-3813	73	9	ideal	ideal	ADJ
cana-3813	73	10	for	for	ADP
cana-3813	73	11	develop	develop	VERB
cana-3813	73	12	-	-	PUNCT
cana-3813	73	13	ing	ing	ADJ
cana-3813	73	14	such	such	ADJ
cana-3813	73	15	models	model	NOUN
cana-3813	73	16	,	,	PUNCT
cana-3813	73	17	and	and	CCONJ
cana-3813	73	18	it	it	PRON
cana-3813	73	19	performs	perform	VERB
cana-3813	73	20	especially	especially	ADV
cana-3813	73	21	well	well	ADV
cana-3813	73	22	with	with	ADP
cana-3813	73	23	large	large	ADJ
cana-3813	73	24	datasets	dataset	NOUN
cana-3813	73	25	.	.	PUNCT
cana-3813	74	1	the	the	DET
cana-3813	74	2	logistic	logistic	ADJ
cana-3813	74	3	regression	regression	NOUN
cana-3813	74	4	model	model	NOUN
cana-3813	74	5	in	in	ADP
cana-3813	74	6	this	this	DET
cana-3813	74	7	study	study	NOUN
cana-3813	74	8	was	be	AUX
cana-3813	74	9	built	build	VERB
cana-3813	74	10	using	use	VERB
cana-3813	74	11	tensorflow	tensorflow	NOUN
cana-3813	74	12	.	.	PUNCT
cana-3813	75	1	keras	keras	PROPN
cana-3813	75	2	,	,	PUNCT
cana-3813	75	3	a	a	DET
cana-3813	75	4	high	high	ADJ
cana-3813	75	5	-	-	PUNCT
cana-3813	75	6	level	level	NOUN
cana-3813	75	7	api	api	NOUN
cana-3813	75	8	for	for	ADP
cana-3813	75	9	model	model	NOUN
cana-3813	75	10	creation	creation	NOUN
cana-3813	75	11	and	and	CCONJ
cana-3813	75	12	training	training	NOUN
cana-3813	75	13	,	,	PUNCT
cana-3813	75	14	was	be	AUX
cana-3813	75	15	used	use	VERB
cana-3813	75	16	to	to	PART
cana-3813	75	17	define	define	VERB
cana-3813	75	18	and	and	CCONJ
cana-3813	75	19	assemble	assemble	VERB
cana-3813	75	20	the	the	DET
cana-3813	75	21	model	model	NOUN
cana-3813	75	22	,	,	PUNCT
cana-3813	75	23	which	which	PRON
cana-3813	75	24	reduced	reduce	VERB
cana-3813	75	25	complexity	complexity	NOUN
cana-3813	75	26	and	and	CCONJ
cana-3813	75	27	accelerated	accelerate	VERB
cana-3813	75	28	the	the	DET
cana-3813	75	29	process	process	NOUN
cana-3813	75	30	.	.	PUNCT
cana-3813	76	1	these	these	DET
cana-3813	76	2	models	model	NOUN
cana-3813	76	3	were	be	AUX
cana-3813	76	4	con	con	NOUN
cana-3813	76	5	-	-	PUNCT
cana-3813	76	6	structed	structe	VERB
cana-3813	76	7	and	and	CCONJ
cana-3813	76	8	modified	modify	VERB
cana-3813	76	9	with	with	ADP
cana-3813	76	10	communications	communication	NOUN
cana-3813	76	11	on	on	ADP
cana-3813	76	12	applied	apply	VERB
cana-3813	76	13	nonlinear	nonlinear	ADJ
cana-3813	76	14	analysis	analysis	NOUN
cana-3813	76	15	issn	issn	NOUN
cana-3813	76	16	:	:	PUNCT
cana-3813	76	17	1074	1074	NUM
cana-3813	76	18	-	-	PUNCT
cana-3813	76	19	133x	133x	NUM
cana-3813	76	20	vol	vol	NOUN
cana-3813	76	21	32	32	NUM
cana-3813	76	22	no	no	NOUN
cana-3813	76	23	.	.	PUNCT
cana-3813	77	1	8s	8s	PROPN
cana-3813	77	2	(	(	PUNCT
cana-3813	77	3	2025	2025	NUM
cana-3813	77	4	)	)	PUNCT
cana-3813	77	5	791	791	NUM
cana-3813	77	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3813	77	7	tensorflow	tensorflow	NOUN
cana-3813	77	8	,	,	PUNCT
cana-3813	77	9	which	which	PRON
cana-3813	77	10	provides	provide	VERB
cana-3813	77	11	the	the	DET
cana-3813	77	12	tools	tool	NOUN
cana-3813	77	13	required	require	VERB
cana-3813	77	14	for	for	ADP
cana-3813	77	15	large	large	ADJ
cana-3813	77	16	-	-	PUNCT
cana-3813	77	17	scale	scale	NOUN
cana-3813	77	18	calculations	calculation	NOUN
cana-3813	77	19	and	and	CCONJ
cana-3813	77	20	optimisations	optimisation	NOUN
cana-3813	77	21	for	for	ADP
cana-3813	77	22	huge	huge	ADJ
cana-3813	77	23	neural	neural	ADJ
cana-3813	77	24	network	network	NOUN
cana-3813	77	25	training	training	NOUN
cana-3813	77	26	.	.	PUNCT
cana-3813	78	1	3.1	3.1	NUM
cana-3813	78	2	model	model	NOUN
cana-3813	78	3	development	development	NOUN
cana-3813	78	4	the	the	DET
cana-3813	78	5	statistical	statistical	ADJ
cana-3813	78	6	approaches	approach	NOUN
cana-3813	78	7	in	in	ADP
cana-3813	78	8	logistic	logistic	ADJ
cana-3813	78	9	regression	regression	NOUN
cana-3813	78	10	fit	fit	ADJ
cana-3813	78	11	into	into	ADP
cana-3813	78	12	the	the	DET
cana-3813	78	13	binary	binary	ADJ
cana-3813	78	14	structure	structure	NOUN
cana-3813	78	15	of	of	ADP
cana-3813	78	16	the	the	DET
cana-3813	78	17	output	output	NOUN
cana-3813	78	18	,	,	PUNCT
cana-3813	78	19	which	which	PRON
cana-3813	78	20	has	have	AUX
cana-3813	78	21	successfully	successfully	ADV
cana-3813	78	22	predicted	predict	VERB
cana-3813	78	23	backorder	backorder	NOUN
cana-3813	78	24	levels	level	NOUN
cana-3813	78	25	in	in	ADP
cana-3813	78	26	inventory	inventory	NOUN
cana-3813	78	27	management	management	NOUN
cana-3813	78	28	systems	system	NOUN
cana-3813	78	29	,	,	PUNCT
cana-3813	78	30	making	make	VERB
cana-3813	78	31	these	these	DET
cana-3813	78	32	classification	classification	NOUN
cana-3813	78	33	difficulties	difficulty	NOUN
cana-3813	78	34	a	a	DET
cana-3813	78	35	suitable	suitable	ADJ
cana-3813	78	36	use	use	NOUN
cana-3813	78	37	.	.	PUNCT
cana-3813	79	1	in	in	ADP
cana-3813	79	2	this	this	DET
cana-3813	79	3	scenario	scenario	NOUN
cana-3813	79	4	,	,	PUNCT
cana-3813	79	5	the	the	DET
cana-3813	79	6	logistic	logistic	ADJ
cana-3813	79	7	regression	regression	NOUN
cana-3813	79	8	model	model	NOUN
cana-3813	79	9	forecasts	forecast	VERB
cana-3813	79	10	a	a	DET
cana-3813	79	11	binary	binary	ADJ
cana-3813	79	12	outcome	outcome	NOUN
cana-3813	79	13	:	:	PUNCT
cana-3813	79	14	whether	whether	SCONJ
cana-3813	79	15	the	the	DET
cana-3813	79	16	product	product	NOUN
cana-3813	79	17	will	will	AUX
cana-3813	79	18	be	be	AUX
cana-3813	79	19	on	on	ADP
cana-3813	79	20	backorder	backorder	NOUN
cana-3813	79	21	or	or	CCONJ
cana-3813	79	22	not	not	PART
cana-3813	79	23	,	,	PUNCT
cana-3813	79	24	based	base	VERB
cana-3813	79	25	on	on	ADP
cana-3813	79	26	previous	previous	ADJ
cana-3813	79	27	sales	sale	NOUN
cana-3813	79	28	data	datum	NOUN
cana-3813	79	29	,	,	PUNCT
cana-3813	79	30	stock	stock	NOUN
cana-3813	79	31	level	level	NOUN
cana-3813	79	32	,	,	PUNCT
cana-3813	79	33	and	and	CCONJ
cana-3813	79	34	other	other	ADJ
cana-3813	79	35	relevant	relevant	ADJ
cana-3813	79	36	forecasting	forecasting	NOUN
cana-3813	79	37	variables	variable	NOUN
cana-3813	79	38	.	.	PUNCT
cana-3813	80	1	examining	examine	VERB
cana-3813	80	2	this	this	DET
cana-3813	80	3	model	model	NOUN
cana-3813	80	4	may	may	AUX
cana-3813	80	5	provide	provide	VERB
cana-3813	80	6	you	you	PRON
cana-3813	80	7	with	with	ADP
cana-3813	80	8	valuable	valuable	ADJ
cana-3813	80	9	insights	insight	NOUN
cana-3813	80	10	on	on	ADP
cana-3813	80	11	when	when	SCONJ
cana-3813	80	12	a	a	DET
cana-3813	80	13	product	product	NOUN
cana-3813	80	14	is	be	AUX
cana-3813	80	15	likely	likely	ADJ
cana-3813	80	16	to	to	PART
cana-3813	80	17	backorder	backorder	VERB
cana-3813	80	18	,	,	PUNCT
cana-3813	80	19	and	and	CCONJ
cana-3813	80	20	it	it	PRON
cana-3813	80	21	is	be	AUX
cana-3813	80	22	advantageous	advantageous	ADJ
cana-3813	80	23	to	to	PART
cana-3813	80	24	put	put	VERB
cana-3813	80	25	you	you	PRON
cana-3813	80	26	,	,	PUNCT
cana-3813	80	27	as	as	ADP
cana-3813	80	28	the	the	DET
cana-3813	80	29	merchant	merchant	NOUN
cana-3813	80	30	,	,	PUNCT
cana-3813	80	31	in	in	ADP
cana-3813	80	32	control	control	NOUN
cana-3813	80	33	so	so	SCONJ
cana-3813	80	34	that	that	SCONJ
cana-3813	80	35	you	you	PRON
cana-3813	80	36	can	can	AUX
cana-3813	80	37	take	take	VERB
cana-3813	80	38	the	the	DET
cana-3813	80	39	required	require	VERB
cana-3813	80	40	activities	activity	NOUN
cana-3813	80	41	to	to	PART
cana-3813	80	42	avoid	avoid	VERB
cana-3813	80	43	stockouts	stockout	NOUN
cana-3813	80	44	and	and	CCONJ
cana-3813	80	45	improve	improve	VERB
cana-3813	80	46	your	your	PRON
cana-3813	80	47	stock	stock	NOUN
cana-3813	80	48	management	management	NOUN
cana-3813	80	49	strategies	strategy	NOUN
cana-3813	80	50	.	.	PUNCT
cana-3813	81	1	through	through	ADP
cana-3813	81	2	historical	historical	ADJ
cana-3813	81	3	analysis	analysis	NOUN
cana-3813	81	4	,	,	PUNCT
cana-3813	81	5	the	the	DET
cana-3813	81	6	model	model	NOUN
cana-3813	81	7	breaks	break	VERB
cana-3813	81	8	down	down	ADP
cana-3813	81	9	those	those	DET
cana-3813	81	10	tendencies	tendency	NOUN
cana-3813	81	11	inventory	inventory	NOUN
cana-3813	81	12	levels	level	NOUN
cana-3813	81	13	,	,	PUNCT
cana-3813	81	14	sales	sale	NOUN
cana-3813	81	15	volume	volume	NOUN
cana-3813	81	16	,	,	PUNCT
cana-3813	81	17	and	and	CCONJ
cana-3813	81	18	periodic	periodic	ADJ
cana-3813	81	19	demand	demand	NOUN
cana-3813	81	20	swings	swing	NOUN
cana-3813	81	21	to	to	PART
cana-3813	81	22	predict	predict	VERB
cana-3813	81	23	how	how	SCONJ
cana-3813	81	24	those	those	DET
cana-3813	81	25	various	various	ADJ
cana-3813	81	26	components	component	NOUN
cana-3813	81	27	typically	typically	ADV
cana-3813	81	28	interact	interact	VERB
cana-3813	81	29	,	,	PUNCT
cana-3813	81	30	and	and	CCONJ
cana-3813	81	31	so	so	SCONJ
cana-3813	81	32	which	which	DET
cana-3813	81	33	commodity	commodity	NOUN
cana-3813	81	34	profile	profile	NOUN
cana-3813	81	35	warns	warn	VERB
cana-3813	81	36	coming	come	VERB
cana-3813	81	37	shortages	shortage	NOUN
cana-3813	81	38	and	and	CCONJ
cana-3813	81	39	which	which	PRON
cana-3813	81	40	implies	imply	VERB
cana-3813	81	41	surpluses	surplus	NOUN
cana-3813	81	42	.	.	PUNCT
cana-3813	82	1	these	these	DET
cana-3813	82	2	discoveries	discovery	NOUN
cana-3813	82	3	allow	allow	VERB
cana-3813	82	4	modifications	modification	NOUN
cana-3813	82	5	to	to	PART
cana-3813	82	6	be	be	AUX
cana-3813	82	7	made	make	VERB
cana-3813	82	8	to	to	PART
cana-3813	82	9	assure	assure	VERB
cana-3813	82	10	continuous	continuous	ADJ
cana-3813	82	11	flow	flow	NOUN
cana-3813	82	12	,	,	PUNCT
cana-3813	82	13	customer	customer	NOUN
cana-3813	82	14	happiness	happiness	NOUN
cana-3813	82	15	,	,	PUNCT
cana-3813	82	16	and	and	CCONJ
cana-3813	82	17	profit	profit	NOUN
cana-3813	82	18	maximization	maximization	NOUN
cana-3813	82	19	.	.	PUNCT
cana-3813	83	1	tensorflow	tensorflow	NOUN
cana-3813	83	2	is	be	AUX
cana-3813	83	3	used	use	VERB
cana-3813	83	4	for	for	ADP
cana-3813	83	5	training	training	NOUN
cana-3813	83	6	and	and	CCONJ
cana-3813	83	7	validating	validate	VERB
cana-3813	83	8	the	the	DET
cana-3813	83	9	logistic	logistic	ADJ
cana-3813	83	10	regression	regression	NOUN
cana-3813	83	11	model	model	NOUN
cana-3813	83	12	.	.	PUNCT
cana-3813	84	1	while	while	SCONJ
cana-3813	84	2	logistic	logistic	ADJ
cana-3813	84	3	regression	regression	NOUN
cana-3813	84	4	is	be	AUX
cana-3813	84	5	a	a	DET
cana-3813	84	6	standard	standard	ADJ
cana-3813	84	7	analytical	analytical	ADJ
cana-3813	84	8	method	method	NOUN
cana-3813	84	9	,	,	PUNCT
cana-3813	84	10	tensorflow	tensorflow	NOUN
cana-3813	84	11	enhances	enhance	VERB
cana-3813	84	12	it	it	PRON
cana-3813	84	13	by	by	ADP
cana-3813	84	14	providing	provide	VERB
cana-3813	84	15	tools	tool	NOUN
cana-3813	84	16	for	for	ADP
cana-3813	84	17	design	design	NOUN
cana-3813	84	18	,	,	PUNCT
cana-3813	84	19	development	development	NOUN
cana-3813	84	20	,	,	PUNCT
cana-3813	84	21	testing	testing	NOUN
cana-3813	84	22	,	,	PUNCT
cana-3813	84	23	and	and	CCONJ
cana-3813	84	24	deployment	deployment	NOUN
cana-3813	84	25	in	in	ADP
cana-3813	84	26	a	a	DET
cana-3813	84	27	scalable	scalable	ADJ
cana-3813	84	28	and	and	CCONJ
cana-3813	84	29	efficient	efficient	ADJ
cana-3813	84	30	manner	manner	NOUN
cana-3813	84	31	.	.	PUNCT
cana-3813	85	1	tensorflow	tensorflow	NOUN
cana-3813	85	2	's	's	PART
cana-3813	85	3	seamless	seamless	ADJ
cana-3813	85	4	computational	computational	ADJ
cana-3813	85	5	graph	graph	NOUN
cana-3813	85	6	abstraction	abstraction	PROPN
cana-3813	85	7	en	en	ADJ
cana-3813	85	8	-	-	PUNCT
cana-3813	85	9	ables	able	NOUN
cana-3813	85	10	rapid	rapid	ADJ
cana-3813	85	11	task	task	NOUN
cana-3813	85	12	execution	execution	NOUN
cana-3813	85	13	and	and	CCONJ
cana-3813	85	14	adjustment	adjustment	NOUN
cana-3813	85	15	of	of	ADP
cana-3813	85	16	design	design	NOUN
cana-3813	85	17	factors	factor	NOUN
cana-3813	85	18	,	,	PUNCT
cana-3813	85	19	assuring	assure	VERB
cana-3813	85	20	stable	stable	ADJ
cana-3813	85	21	per	per	ADP
cana-3813	85	22	-	-	PUNCT
cana-3813	85	23	formance	formance	NOUN
cana-3813	85	24	and	and	CCONJ
cana-3813	85	25	precision	precision	NOUN
cana-3813	85	26	.	.	PUNCT
cana-3813	86	1	iterative	iterative	NOUN
cana-3813	86	2	testing	testing	NOUN
cana-3813	86	3	and	and	CCONJ
cana-3813	86	4	validation	validation	NOUN
cana-3813	86	5	with	with	ADP
cana-3813	86	6	tensorflow	tensorflow	NOUN
cana-3813	86	7	improved	improve	VERB
cana-3813	86	8	the	the	DET
cana-3813	86	9	details	detail	NOUN
cana-3813	86	10	of	of	ADP
cana-3813	86	11	the	the	DET
cana-3813	86	12	logistic	logistic	ADJ
cana-3813	86	13	regression	regression	NOUN
cana-3813	86	14	architecture	architecture	NOUN
cana-3813	86	15	to	to	PART
cana-3813	86	16	achieve	achieve	VERB
cana-3813	86	17	the	the	DET
cana-3813	86	18	necessary	necessary	ADJ
cana-3813	86	19	degree	degree	NOUN
cana-3813	86	20	of	of	ADP
cana-3813	86	21	prediction	prediction	NOUN
cana-3813	86	22	accuracy	accuracy	NOUN
cana-3813	86	23	,	,	PUNCT
cana-3813	86	24	enhancing	enhance	VERB
cana-3813	86	25	its	its	PRON
cana-3813	86	26	power	power	NOUN
cana-3813	86	27	to	to	PART
cana-3813	86	28	detect	detect	VERB
cana-3813	86	29	likely	likely	ADJ
cana-3813	86	30	backorder	backorder	NOUN
cana-3813	86	31	sce	sce	NOUN
cana-3813	86	32	-	-	PUNCT
cana-3813	86	33	narios	narios	PROPN
cana-3813	87	1	[	[	X
cana-3813	87	2	7	7	NUM
cana-3813	87	3	]	]	PUNCT
cana-3813	87	4	.	.	PUNCT
cana-3813	88	1	once	once	SCONJ
cana-3813	88	2	the	the	DET
cana-3813	88	3	design	design	NOUN
cana-3813	88	4	of	of	ADP
cana-3813	88	5	logistic	logistic	ADJ
cana-3813	88	6	regression	regression	NOUN
cana-3813	88	7	had	have	AUX
cana-3813	88	8	been	be	AUX
cana-3813	88	9	determined	determine	VERB
cana-3813	88	10	and	and	CCONJ
cana-3813	88	11	validated	validate	VERB
cana-3813	88	12	,	,	PUNCT
cana-3813	88	13	it	it	PRON
cana-3813	88	14	was	be	AUX
cana-3813	88	15	simple	simple	ADJ
cana-3813	88	16	to	to	PART
cana-3813	88	17	integrate	integrate	VERB
cana-3813	88	18	into	into	ADP
cana-3813	88	19	the	the	DET
cana-3813	88	20	inventory	inventory	NOUN
cana-3813	88	21	control	control	NOUN
cana-3813	88	22	system	system	NOUN
cana-3813	88	23	.	.	PUNCT
cana-3813	89	1	for	for	ADP
cana-3813	89	2	retailers	retailer	NOUN
cana-3813	89	3	,	,	PUNCT
cana-3813	89	4	inventory	inventory	NOUN
cana-3813	89	5	management	management	NOUN
cana-3813	89	6	is	be	AUX
cana-3813	89	7	one	one	NUM
cana-3813	89	8	of	of	ADP
cana-3813	89	9	the	the	DET
cana-3813	89	10	most	most	ADV
cana-3813	89	11	difficult	difficult	ADJ
cana-3813	89	12	components	component	NOUN
cana-3813	89	13	of	of	ADP
cana-3813	89	14	their	their	PRON
cana-3813	89	15	business	business	NOUN
cana-3813	89	16	,	,	PUNCT
cana-3813	89	17	as	as	SCONJ
cana-3813	89	18	is	be	AUX
cana-3813	89	19	the	the	DET
cana-3813	89	20	proper	proper	ADJ
cana-3813	89	21	use	use	NOUN
cana-3813	89	22	of	of	ADP
cana-3813	89	23	data	datum	NOUN
cana-3813	89	24	analytics	analytic	NOUN
cana-3813	89	25	.	.	PUNCT
cana-3813	90	1	predictive	predictive	ADJ
cana-3813	90	2	algorithms	algorithm	NOUN
cana-3813	90	3	accomplish	accomplish	VERB
cana-3813	90	4	this	this	PRON
cana-3813	90	5	by	by	ADP
cana-3813	90	6	analysing	analyse	VERB
cana-3813	90	7	historical	historical	ADJ
cana-3813	90	8	purchasing	purchasing	NOUN
cana-3813	90	9	behaviours	behaviour	NOUN
cana-3813	90	10	,	,	PUNCT
cana-3813	90	11	transaction	transaction	NOUN
cana-3813	90	12	and	and	CCONJ
cana-3813	90	13	demand	demand	NOUN
cana-3813	90	14	data	datum	NOUN
cana-3813	90	15	to	to	PART
cana-3813	90	16	anticipate	anticipate	VERB
cana-3813	90	17	when	when	SCONJ
cana-3813	90	18	supply	supply	NOUN
cana-3813	90	19	will	will	AUX
cana-3813	90	20	run	run	VERB
cana-3813	90	21	low	low	ADJ
cana-3813	90	22	and	and	CCONJ
cana-3813	90	23	backorders	backorder	NOUN
cana-3813	90	24	may	may	AUX
cana-3813	90	25	occur	occur	VERB
cana-3813	90	26	.	.	PUNCT
cana-3813	91	1	armed	arm	VERB
cana-3813	91	2	with	with	ADP
cana-3813	91	3	these	these	DET
cana-3813	91	4	knowledge	knowledge	NOUN
cana-3813	91	5	,	,	PUNCT
cana-3813	91	6	retailers	retailer	NOUN
cana-3813	91	7	can	can	AUX
cana-3813	91	8	make	make	VERB
cana-3813	91	9	proactive	proactive	ADJ
cana-3813	91	10	modifications	modification	NOUN
cana-3813	91	11	to	to	ADP
cana-3813	91	12	inventory	inventory	NOUN
cana-3813	91	13	levels	level	NOUN
cana-3813	91	14	and	and	CCONJ
cana-3813	91	15	reorder	reorder	NOUN
cana-3813	91	16	quantities	quantity	NOUN
cana-3813	91	17	to	to	PART
cana-3813	91	18	avoid	avoid	VERB
cana-3813	91	19	supply	supply	NOUN
cana-3813	91	20	disruptions	disruption	NOUN
cana-3813	91	21	.	.	PUNCT
cana-3813	92	1	instead	instead	ADV
cana-3813	92	2	of	of	ADP
cana-3813	92	3	being	be	AUX
cana-3813	92	4	reactive	reactive	ADJ
cana-3813	92	5	,	,	PUNCT
cana-3813	92	6	use	use	VERB
cana-3813	92	7	proactive	proactive	ADJ
cana-3813	92	8	techniques	technique	NOUN
cana-3813	92	9	.	.	PUNCT
cana-3813	93	1	allow	allow	VERB
cana-3813	93	2	retailers	retailer	NOUN
cana-3813	93	3	to	to	PART
cana-3813	93	4	meet	meet	VERB
cana-3813	93	5	customer	customer	NOUN
cana-3813	93	6	demand	demand	NOUN
cana-3813	93	7	rather	rather	ADV
cana-3813	93	8	than	than	ADP
cana-3813	93	9	respond	respond	VERB
cana-3813	93	10	to	to	ADP
cana-3813	93	11	stock	stock	NOUN
cana-3813	93	12	shortages	shortage	NOUN
cana-3813	93	13	.	.	PUNCT
cana-3813	94	1	using	use	VERB
cana-3813	94	2	a	a	DET
cana-3813	94	3	logistic	logistic	ADJ
cana-3813	94	4	regression	regression	NOUN
cana-3813	94	5	model	model	NOUN
cana-3813	94	6	in	in	ADP
cana-3813	94	7	a	a	DET
cana-3813	94	8	retailer	retailer	NOUN
cana-3813	94	9	's	's	PART
cana-3813	94	10	inventory	inventory	NOUN
cana-3813	94	11	,	,	PUNCT
cana-3813	94	12	only	only	ADV
cana-3813	94	13	one	one	NUM
cana-3813	94	14	system	system	NOUN
cana-3813	94	15	demonstrated	demonstrate	VERB
cana-3813	94	16	the	the	DET
cana-3813	94	17	value	value	NOUN
cana-3813	94	18	of	of	ADP
cana-3813	94	19	becoming	become	VERB
cana-3813	94	20	data	data	NOUN
cana-3813	94	21	-	-	PUNCT
cana-3813	94	22	driven	drive	VERB
cana-3813	94	23	.	.	PUNCT
cana-3813	95	1	the	the	DET
cana-3813	95	2	algorithm	algorithm	NOUN
cana-3813	95	3	correctly	correctly	ADV
cana-3813	95	4	anticipates	anticipate	VERB
cana-3813	95	5	future	future	ADJ
cana-3813	95	6	product	product	NOUN
cana-3813	95	7	line	line	NOUN
cana-3813	95	8	requirements	requirement	NOUN
cana-3813	95	9	based	base	VERB
cana-3813	95	10	on	on	ADP
cana-3813	95	11	trends	trend	NOUN
cana-3813	95	12	in	in	ADP
cana-3813	95	13	prior	prior	ADJ
cana-3813	95	14	buying	buy	VERB
cana-3813	95	15	patterns	pattern	NOUN
cana-3813	95	16	[	[	X
cana-3813	95	17	8	8	NUM
cana-3813	95	18	]	]	PUNCT
cana-3813	95	19	.	.	PUNCT
cana-3813	96	1	optimising	optimise	VERB
cana-3813	96	2	reorder	reorder	NOUN
cana-3813	96	3	quantities	quantity	NOUN
cana-3813	96	4	and	and	CCONJ
cana-3813	96	5	inventory	inventory	NOUN
cana-3813	96	6	levels	level	NOUN
cana-3813	96	7	across	across	ADP
cana-3813	96	8	distribution	distribution	NOUN
cana-3813	96	9	locations	location	NOUN
cana-3813	96	10	based	base	VERB
cana-3813	96	11	on	on	ADP
cana-3813	96	12	projections	projection	NOUN
cana-3813	96	13	as	as	ADP
cana-3813	96	14	a	a	DET
cana-3813	96	15	result	result	NOUN
cana-3813	96	16	,	,	PUNCT
cana-3813	96	17	the	the	DET
cana-3813	96	18	company	company	NOUN
cana-3813	96	19	enhanced	enhance	VERB
cana-3813	96	20	operational	operational	ADJ
cana-3813	96	21	efficiency	efficiency	NOUN
cana-3813	96	22	by	by	ADP
cana-3813	96	23	reducing	reduce	VERB
cana-3813	96	24	backorders	backorder	NOUN
cana-3813	96	25	and	and	CCONJ
cana-3813	96	26	stockouts	stockout	NOUN
cana-3813	96	27	.	.	PUNCT
cana-3813	97	1	customers	customer	NOUN
cana-3813	97	2	are	be	AUX
cana-3813	97	3	more	more	ADV
cana-3813	97	4	satisfied	satisfied	ADJ
cana-3813	97	5	when	when	SCONJ
cana-3813	97	6	stores	store	NOUN
cana-3813	97	7	are	be	AUX
cana-3813	97	8	wellstocked	wellstocke	VERB
cana-3813	97	9	because	because	SCONJ
cana-3813	97	10	they	they	PRON
cana-3813	97	11	can	can	AUX
cana-3813	97	12	easily	easily	ADV
cana-3813	97	13	find	find	VERB
cana-3813	97	14	the	the	DET
cana-3813	97	15	things	thing	NOUN
cana-3813	97	16	they	they	PRON
cana-3813	97	17	want	want	VERB
cana-3813	97	18	.	.	PUNCT
cana-3813	98	1	to	to	PART
cana-3813	98	2	summarise	summarise	VERB
cana-3813	98	3	,	,	PUNCT
cana-3813	98	4	the	the	DET
cana-3813	98	5	retailer	retailer	NOUN
cana-3813	98	6	's	's	PART
cana-3813	98	7	inventory	inventory	NOUN
cana-3813	98	8	management	management	NOUN
cana-3813	98	9	process	process	NOUN
cana-3813	98	10	was	be	AUX
cana-3813	98	11	greatly	greatly	ADV
cana-3813	98	12	improved	improve	VERB
cana-3813	98	13	through	through	ADP
cana-3813	98	14	the	the	DET
cana-3813	98	15	use	use	NOUN
cana-3813	98	16	of	of	ADP
cana-3813	98	17	predictive	predictive	ADJ
cana-3813	98	18	analytics	analytic	NOUN
cana-3813	98	19	.	.	PUNCT
cana-3813	99	1	whereas	whereas	SCONJ
cana-3813	99	2	data	datum	NOUN
cana-3813	99	3	was	be	AUX
cana-3813	99	4	previously	previously	ADV
cana-3813	99	5	underutilised	underutilise	VERB
cana-3813	99	6	,	,	PUNCT
cana-3813	99	7	metrics	metric	NOUN
cana-3813	99	8	now	now	ADV
cana-3813	99	9	provide	provide	VERB
cana-3813	99	10	direction	direction	NOUN
cana-3813	99	11	.	.	PUNCT
cana-3813	100	1	the	the	DET
cana-3813	100	2	system	system	NOUN
cana-3813	100	3	is	be	AUX
cana-3813	100	4	constantly	constantly	ADV
cana-3813	100	5	fine	fine	ADV
cana-3813	100	6	-	-	PUNCT
cana-3813	100	7	tuning	tune	VERB
cana-3813	100	8	its	its	PRON
cana-3813	100	9	estimates	estimate	NOUN
cana-3813	100	10	through	through	ADP
cana-3813	100	11	continuous	continuous	ADJ
cana-3813	100	12	analysis	analysis	NOUN
cana-3813	100	13	.	.	PUNCT
cana-3813	101	1	as	as	ADP
cana-3813	101	2	demand	demand	NOUN
cana-3813	101	3	shifts	shift	NOUN
cana-3813	101	4	over	over	ADP
cana-3813	101	5	time	time	NOUN
cana-3813	101	6	,	,	PUNCT
cana-3813	101	7	this	this	PRON
cana-3813	101	8	helps	help	VERB
cana-3813	101	9	with	with	ADP
cana-3813	101	10	strategic	strategic	ADJ
cana-3813	101	11	supply	supply	NOUN
cana-3813	101	12	chain	chain	NOUN
cana-3813	101	13	management	management	NOUN
cana-3813	101	14	and	and	CCONJ
cana-3813	101	15	customer	customer	NOUN
cana-3813	101	16	fulfilment	fulfilment	NOUN
cana-3813	101	17	.	.	PUNCT
cana-3813	102	1	communications	communication	NOUN
cana-3813	102	2	on	on	ADP
cana-3813	102	3	applied	apply	VERB
cana-3813	102	4	nonlinear	nonlinear	ADJ
cana-3813	102	5	analysis	analysis	NOUN
cana-3813	102	6	issn	issn	NOUN
cana-3813	102	7	:	:	PUNCT
cana-3813	102	8	1074	1074	NUM
cana-3813	102	9	-	-	PUNCT
cana-3813	102	10	133x	133x	NUM
cana-3813	102	11	vol	vol	NOUN
cana-3813	102	12	32	32	NUM
cana-3813	102	13	no	no	NOUN
cana-3813	102	14	.	.	PUNCT
cana-3813	103	1	8s	8s	PROPN
cana-3813	103	2	(	(	PUNCT
cana-3813	103	3	2025	2025	NUM
cana-3813	103	4	)	)	PUNCT
cana-3813	103	5	792	792	NUM
cana-3813	103	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3813	103	7	3.2	3.2	NUM
cana-3813	103	8	performance	performance	NOUN
cana-3813	103	9	metrics	metric	NOUN
cana-3813	103	10	the	the	DET
cana-3813	103	11	selection	selection	NOUN
cana-3813	103	12	of	of	ADP
cana-3813	103	13	proper	proper	ADJ
cana-3813	103	14	evaluation	evaluation	NOUN
cana-3813	103	15	metrics	metric	NOUN
cana-3813	103	16	is	be	AUX
cana-3813	103	17	one	one	NUM
cana-3813	103	18	of	of	ADP
cana-3813	103	19	the	the	DET
cana-3813	103	20	most	most	ADV
cana-3813	103	21	critical	critical	ADJ
cana-3813	103	22	variables	variable	NOUN
cana-3813	103	23	that	that	PRON
cana-3813	103	24	influence	influence	VERB
cana-3813	103	25	the	the	DET
cana-3813	103	26	creation	creation	NOUN
cana-3813	103	27	of	of	ADP
cana-3813	103	28	a	a	DET
cana-3813	103	29	predictive	predictive	ADJ
cana-3813	103	30	model	model	NOUN
cana-3813	103	31	.	.	PUNCT
cana-3813	104	1	table	table	NOUN
cana-3813	104	2	1	1	NUM
cana-3813	104	3	shows	show	VERB
cana-3813	104	4	how	how	SCONJ
cana-3813	104	5	the	the	DET
cana-3813	104	6	confusion	confusion	NOUN
cana-3813	104	7	matrix	matrix	NOUN
cana-3813	104	8	is	be	AUX
cana-3813	104	9	used	use	VERB
cana-3813	104	10	to	to	PART
cana-3813	104	11	summarise	summarise	VERB
cana-3813	104	12	the	the	DET
cana-3813	104	13	results	result	NOUN
cana-3813	104	14	of	of	ADP
cana-3813	104	15	properly	properly	ADV
cana-3813	104	16	and	and	CCONJ
cana-3813	104	17	incorrectly	incorrectly	ADV
cana-3813	104	18	recognised	recognise	VERB
cana-3813	104	19	samples	sample	NOUN
cana-3813	104	20	of	of	ADP
cana-3813	104	21	each	each	DET
cana-3813	104	22	class	class	NOUN
cana-3813	104	23	in	in	ADP
cana-3813	104	24	a	a	DET
cana-3813	104	25	binary	binary	ADJ
cana-3813	104	26	classification	classification	NOUN
cana-3813	104	27	problem	problem	NOUN
cana-3813	104	28	.	.	PUNCT
cana-3813	105	1	table	table	NOUN
cana-3813	105	2	1	1	NUM
cana-3813	105	3	.	.	PUNCT
cana-3813	105	4	confusion	confusion	NOUN
cana-3813	105	5	matrix	matrix	NOUN
cana-3813	105	6	for	for	ADP
cana-3813	105	7	classification	classification	NOUN
cana-3813	105	8	problem	problem	NOUN
cana-3813	105	9	the	the	DET
cana-3813	105	10	accuracy	accuracy	NOUN
cana-3813	105	11	rate	rate	NOUN
cana-3813	105	12	(	(	PUNCT
cana-3813	105	13	eq	eq	NOUN
cana-3813	105	14	.	.	NOUN
cana-3813	105	15	1	1	NUM
cana-3813	105	16	)	)	PUNCT
cana-3813	105	17	is	be	AUX
cana-3813	105	18	the	the	DET
cana-3813	105	19	most	most	ADV
cana-3813	105	20	widely	widely	ADV
cana-3813	105	21	used	use	VERB
cana-3813	105	22	empirical	empirical	ADJ
cana-3813	105	23	indicator	indicator	NOUN
cana-3813	105	24	for	for	ADP
cana-3813	105	25	classification	classification	NOUN
cana-3813	105	26	.	.	PUNCT
cana-3813	106	1	however	however	ADV
cana-3813	106	2	,	,	PUNCT
cana-3813	106	3	in	in	ADP
cana-3813	106	4	the	the	DET
cana-3813	106	5	case	case	NOUN
cana-3813	106	6	of	of	ADP
cana-3813	106	7	imbalanced	imbalanced	ADJ
cana-3813	106	8	datasets	dataset	NOUN
cana-3813	106	9	,	,	PUNCT
cana-3813	106	10	accuracy	accuracy	NOUN
cana-3813	106	11	is	be	AUX
cana-3813	106	12	no	no	ADV
cana-3813	106	13	longer	long	ADV
cana-3813	106	14	a	a	DET
cana-3813	106	15	meaningful	meaningful	ADJ
cana-3813	106	16	measure	measure	NOUN
cana-3813	106	17	because	because	SCONJ
cana-3813	106	18	it	it	PRON
cana-3813	106	19	does	do	AUX
cana-3813	106	20	not	not	PART
cana-3813	106	21	discriminate	discriminate	VERB
cana-3813	106	22	the	the	DET
cana-3813	106	23	numbers	number	NOUN
cana-3813	106	24	of	of	ADP
cana-3813	106	25	correctly	correctly	ADV
cana-3813	106	26	classified	classified	ADJ
cana-3813	106	27	instances	instance	NOUN
cana-3813	106	28	from	from	ADP
cana-3813	106	29	various	various	ADJ
cana-3813	106	30	classes	class	NOUN
cana-3813	106	31	[	[	X
cana-3813	106	32	16	16	NUM
cana-3813	106	33	]	]	PUNCT
cana-3813	106	34	.	.	PUNCT
cana-3813	107	1	a	a	DET
cana-3813	107	2	common	common	ADJ
cana-3813	107	3	example	example	NOUN
cana-3813	107	4	is	be	AUX
cana-3813	107	5	an	an	DET
cana-3813	107	6	estimator	estimator	NOUN
cana-3813	107	7	that	that	PRON
cana-3813	107	8	classifies	classify	VERB
cana-3813	107	9	all	all	DET
cana-3813	107	10	situations	situation	NOUN
cana-3813	107	11	as	as	ADP
cana-3813	107	12	negative	negative	ADJ
cana-3813	107	13	,	,	PUNCT
cana-3813	107	14	resulting	result	VERB
cana-3813	107	15	in	in	ADP
cana-3813	107	16	unclear	unclear	ADJ
cana-3813	107	17	results	result	NOUN
cana-3813	107	18	.	.	PUNCT
cana-3813	108	1	in	in	ADP
cana-3813	108	2	the	the	DET
cana-3813	108	3	imbalanced	imbalanced	ADJ
cana-3813	108	4	problems	problem	NOUN
cana-3813	108	5	domain	domain	VERB
cana-3813	108	6	,	,	PUNCT
cana-3813	108	7	specific	specific	ADJ
cana-3813	108	8	metrics	metric	NOUN
cana-3813	108	9	are	be	AUX
cana-3813	108	10	proposed	propose	VERB
cana-3813	108	11	to	to	PART
cana-3813	108	12	account	account	VERB
cana-3813	108	13	for	for	ADP
cana-3813	108	14	class	class	NOUN
cana-3813	108	15	distribution	distribution	NOUN
cana-3813	108	16	.	.	PUNCT
cana-3813	109	1	precision	precision	NOUN
cana-3813	109	2	describes	describe	VERB
cana-3813	109	3	an	an	DET
cana-3813	109	4	estimator	estimator	NOUN
cana-3813	109	5	's	's	PART
cana-3813	109	6	ability	ability	NOUN
cana-3813	109	7	to	to	PART
cana-3813	109	8	forecast	forecast	VERB
cana-3813	109	9	positive	positive	ADJ
cana-3813	109	10	classes	class	NOUN
cana-3813	109	11	accurately	accurately	ADV
cana-3813	109	12	,	,	PUNCT
cana-3813	109	13	whereas	whereas	SCONJ
cana-3813	109	14	recall	recall	NOUN
cana-3813	109	15	,	,	PUNCT
cana-3813	109	16	also	also	ADV
cana-3813	109	17	known	know	VERB
cana-3813	109	18	as	as	ADP
cana-3813	109	19	true	true	ADJ
cana-3813	109	20	positive	positive	ADJ
cana-3813	109	21	rate	rate	NOUN
cana-3813	109	22	or	or	CCONJ
cana-3813	109	23	sensitivity	sensitivity	NOUN
cana-3813	109	24	,	,	PUNCT
cana-3813	109	25	represents	represent	VERB
cana-3813	109	26	its	its	PRON
cana-3813	109	27	capacity	capacity	NOUN
cana-3813	109	28	to	to	PART
cana-3813	109	29	discover	discover	VERB
cana-3813	109	30	all	all	DET
cana-3813	109	31	positive	positive	ADJ
cana-3813	109	32	samples	sample	NOUN
cana-3813	109	33	.	.	PUNCT
cana-3813	110	1	precision	precision	NOUN
cana-3813	110	2	-	-	PUNCT
cana-3813	110	3	recall	recall	NOUN
cana-3813	110	4	curves	curve	NOUN
cana-3813	110	5	,	,	PUNCT
cana-3813	110	6	which	which	PRON
cana-3813	110	7	are	be	AUX
cana-3813	110	8	frequently	frequently	ADV
cana-3813	110	9	employed	employ	VERB
cana-3813	110	10	in	in	ADP
cana-3813	110	11	binary	binary	ADJ
cana-3813	110	12	classification	classification	NOUN
cana-3813	110	13	to	to	PART
cana-3813	110	14	understand	understand	VERB
cana-3813	110	15	classifier	classifier	ADJ
cana-3813	110	16	output	output	NOUN
cana-3813	110	17	and	and	CCONJ
cana-3813	110	18	assist	assist	VERB
cana-3813	110	19	in	in	ADP
cana-3813	110	20	determining	determine	VERB
cana-3813	110	21	the	the	DET
cana-3813	110	22	decision	decision	NOUN
cana-3813	110	23	function	function	NOUN
cana-3813	110	24	threshold	threshold	NOUN
cana-3813	110	25	,	,	PUNCT
cana-3813	110	26	show	show	VERB
cana-3813	110	27	the	the	DET
cana-3813	110	28	disagreement	disagreement	NOUN
cana-3813	110	29	between	between	ADP
cana-3813	110	30	the	the	DET
cana-3813	110	31	two	two	NUM
cana-3813	110	32	measures	measure	NOUN
cana-3813	110	33	.	.	PUNCT
cana-3813	111	1	another	another	DET
cana-3813	111	2	intriguing	intriguing	ADJ
cana-3813	111	3	metric	metric	ADJ
cana-3813	111	4	derived	derive	VERB
cana-3813	111	5	from	from	ADP
cana-3813	111	6	the	the	DET
cana-3813	111	7	confusion	confusion	NOUN
cana-3813	111	8	matrix	matrix	NOUN
cana-3813	111	9	study	study	NOUN
cana-3813	111	10	is	be	AUX
cana-3813	111	11	the	the	DET
cana-3813	111	12	fall	fall	NOUN
cana-3813	111	13	-	-	PUNCT
cana-3813	111	14	out	out	NOUN
cana-3813	111	15	,	,	PUNCT
cana-3813	111	16	sometimes	sometimes	ADV
cana-3813	111	17	referred	refer	VERB
cana-3813	111	18	to	to	ADP
cana-3813	111	19	as	as	ADP
cana-3813	111	20	the	the	DET
cana-3813	111	21	false	false	ADJ
cana-3813	111	22	positive	positive	ADJ
cana-3813	111	23	rate	rate	NOUN
cana-3813	111	24	.	.	PUNCT
cana-3813	112	1	it	it	PRON
cana-3813	112	2	's	be	AUX
cana-3813	112	3	calculated	calculate	VERB
cana-3813	112	4	by	by	ADP
cana-3813	112	5	dividing	divide	VERB
cana-3813	112	6	the	the	DET
cana-3813	112	7	total	total	ADJ
cana-3813	112	8	number	number	NOUN
cana-3813	112	9	of	of	ADP
cana-3813	112	10	negative	negative	ADJ
cana-3813	112	11	results	result	NOUN
cana-3813	112	12	by	by	ADP
cana-3813	112	13	the	the	DET
cana-3813	112	14	number	number	NOUN
cana-3813	112	15	of	of	ADP
cana-3813	112	16	false	false	ADJ
cana-3813	112	17	positives	positive	NOUN
cana-3813	112	18	.	.	PUNCT
cana-3813	113	1	4	4	X
cana-3813	113	2	.	.	X
cana-3813	113	3	system	system	NOUN
cana-3813	113	4	description	description	NOUN
cana-3813	113	5	furthermore	furthermore	ADV
cana-3813	113	6	,	,	PUNCT
cana-3813	113	7	the	the	DET
cana-3813	113	8	ui	ui	PROPN
cana-3813	113	9	design	design	NOUN
cana-3813	113	10	deploys	deploy	VERB
cana-3813	113	11	intuitive	intuitive	ADJ
cana-3813	113	12	layouts	layout	NOUN
cana-3813	113	13	,	,	PUNCT
cana-3813	113	14	clear	clear	ADJ
cana-3813	113	15	navigation	navigation	NOUN
cana-3813	113	16	paths	path	NOUN
cana-3813	113	17	,	,	PUNCT
cana-3813	113	18	and	and	CCONJ
cana-3813	113	19	interactive	interactive	ADJ
cana-3813	113	20	elements	element	NOUN
cana-3813	113	21	to	to	PART
cana-3813	113	22	optimize	optimize	VERB
cana-3813	113	23	ease	ease	NOUN
cana-3813	113	24	for	for	ADP
cana-3813	113	25	all	all	DET
cana-3813	113	26	users	user	NOUN
cana-3813	113	27	.	.	PUNCT
cana-3813	114	1	in	in	ADP
cana-3813	114	2	gathering	gather	VERB
cana-3813	114	3	billing	billing	NOUN
cana-3813	114	4	and	and	CCONJ
cana-3813	114	5	management	management	NOUN
cana-3813	114	6	,	,	PUNCT
cana-3813	114	7	product	product	NOUN
cana-3813	114	8	management	management	NOUN
cana-3813	114	9	,	,	PUNCT
cana-3813	114	10	customer	customer	NOUN
cana-3813	114	11	management	management	NOUN
cana-3813	114	12	,	,	PUNCT
cana-3813	114	13	and	and	CCONJ
cana-3813	114	14	sales	sale	NOUN
cana-3813	114	15	data	datum	NOUN
cana-3813	114	16	,	,	PUNCT
cana-3813	114	17	all	all	DET
cana-3813	114	18	ui	ui	NOUN
cana-3813	114	19	pages	page	NOUN
cana-3813	114	20	adhere	adhere	VERB
cana-3813	114	21	to	to	ADP
cana-3813	114	22	user	user	NOUN
cana-3813	114	23	-	-	PUNCT
cana-3813	114	24	centric	centric	ADJ
cana-3813	114	25	principles	principle	NOUN
cana-3813	114	26	such	such	ADJ
cana-3813	114	27	as	as	ADP
cana-3813	114	28	simplicity	simplicity	NOUN
cana-3813	114	29	in	in	ADP
cana-3813	114	30	design	design	NOUN
cana-3813	114	31	,	,	PUNCT
cana-3813	114	32	functionality	functionality	NOUN
cana-3813	114	33	,	,	PUNCT
cana-3813	114	34	and	and	CCONJ
cana-3813	114	35	the	the	DET
cana-3813	114	36	accessibility	accessibility	NOUN
cana-3813	114	37	of	of	ADP
cana-3813	114	38	critical	critical	ADJ
cana-3813	114	39	features	feature	NOUN
cana-3813	114	40	.	.	PUNCT
cana-3813	115	1	additionally	additionally	ADV
cana-3813	115	2	,	,	PUNCT
cana-3813	115	3	the	the	DET
cana-3813	115	4	design	design	NOUN
cana-3813	115	5	embeds	embed	VERB
cana-3813	115	6	feedback	feedback	NOUN
cana-3813	115	7	mechanisms	mechanism	NOUN
cana-3813	115	8	and	and	CCONJ
cana-3813	115	9	error	error	NOUN
cana-3813	115	10	handling	handling	NOUN
cana-3813	115	11	features	feature	NOUN
cana-3813	115	12	to	to	PART
cana-3813	115	13	guide	guide	VERB
cana-3813	115	14	users	user	NOUN
cana-3813	115	15	toward	toward	ADP
cana-3813	115	16	competence	competence	NOUN
cana-3813	115	17	in	in	ADP
cana-3813	115	18	completing	complete	VERB
cana-3813	115	19	tasks	task	NOUN
cana-3813	115	20	and	and	CCONJ
cana-3813	115	21	avoid	avoid	VERB
cana-3813	115	22	errors	error	NOUN
cana-3813	115	23	in	in	ADP
cana-3813	115	24	performance	performance	NOUN
cana-3813	115	25	that	that	PRON
cana-3813	115	26	may	may	AUX
cana-3813	115	27	otherwise	otherwise	ADV
cana-3813	115	28	cause	cause	VERB
cana-3813	115	29	confusion	confusion	NOUN
cana-3813	115	30	.	.	PUNCT
cana-3813	116	1	the	the	DET
cana-3813	116	2	design	design	NOUN
cana-3813	116	3	reimagines	reimagine	VERB
cana-3813	116	4	workflow	workflow	NOUN
cana-3813	116	5	,	,	PUNCT
cana-3813	116	6	task	task	NOUN
cana-3813	116	7	completion	completion	NOUN
cana-3813	116	8	speed	speed	NOUN
cana-3813	116	9	,	,	PUNCT
cana-3813	116	10	and	and	CCONJ
cana-3813	116	11	user	user	NOUN
cana-3813	116	12	satisfaction	satisfaction	NOUN
cana-3813	116	13	under	under	ADP
cana-3813	116	14	the	the	DET
cana-3813	116	15	same	same	ADJ
cana-3813	116	16	umbrella	umbrella	NOUN
cana-3813	116	17	of	of	ADP
cana-3813	116	18	singular	singular	ADJ
cana-3813	116	19	goal	goal	NOUN
cana-3813	116	20	achievement	achievement	NOUN
cana-3813	116	21	empowerment	empowerment	NOUN
cana-3813	116	22	.	.	PUNCT
cana-3813	117	1	4.1	4.1	NUM
cana-3813	117	2	inventory	inventory	NOUN
cana-3813	117	3	control	control	NOUN
cana-3813	117	4	features	feature	VERB
cana-3813	117	5	inventory	inventory	NOUN
cana-3813	117	6	control	control	NOUN
cana-3813	117	7	features	feature	NOUN
cana-3813	117	8	used	use	VERB
cana-3813	117	9	in	in	ADP
cana-3813	117	10	the	the	DET
cana-3813	117	11	proposed	propose	VERB
cana-3813	117	12	system	system	NOUN
cana-3813	117	13	are	be	AUX
cana-3813	117	14	reorder	reorder	NOUN
cana-3813	117	15	level	level	NOUN
cana-3813	117	16	,	,	PUNCT
cana-3813	117	17	safety	safety	NOUN
cana-3813	117	18	stock	stock	NOUN
cana-3813	117	19	and	and	CCONJ
cana-3813	117	20	communications	communication	NOUN
cana-3813	117	21	on	on	ADP
cana-3813	117	22	applied	apply	VERB
cana-3813	117	23	nonlinear	nonlinear	ADJ
cana-3813	117	24	analysis	analysis	NOUN
cana-3813	117	25	issn	issn	NOUN
cana-3813	117	26	:	:	PUNCT
cana-3813	117	27	1074	1074	NUM
cana-3813	117	28	-	-	PUNCT
cana-3813	117	29	133x	133x	NUM
cana-3813	117	30	vol	vol	NOUN
cana-3813	117	31	32	32	NUM
cana-3813	117	32	no	no	NOUN
cana-3813	117	33	.	.	PUNCT
cana-3813	118	1	8s	8s	PROPN
cana-3813	118	2	(	(	PUNCT
cana-3813	118	3	2025	2025	NUM
cana-3813	118	4	)	)	PUNCT
cana-3813	118	5	793	793	NUM
cana-3813	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3813	118	7	economic	economic	ADJ
cana-3813	118	8	order	order	NOUN
cana-3813	118	9	quantity	quantity	NOUN
cana-3813	118	10	which	which	PRON
cana-3813	118	11	are	be	AUX
cana-3813	118	12	given	give	VERB
cana-3813	118	13	as	as	SCONJ
cana-3813	118	14	follows	follow	VERB
cana-3813	118	15	.	.	PUNCT
cana-3813	119	1	lead	lead	ADJ
cana-3813	119	2	time	time	NOUN
cana-3813	119	3	demand	demand	NOUN
cana-3813	119	4	+	+	CCONJ
cana-3813	119	5	safety	safety	NOUN
cana-3813	119	6	stock	stock	NOUN
cana-3813	119	7	equals	equal	VERB
cana-3813	119	8	reorder	reorder	NOUN
cana-3813	119	9	level	level	NOUN
cana-3813	119	10	.	.	PUNCT
cana-3813	120	1	(	(	PUNCT
cana-3813	120	2	1	1	X
cana-3813	120	3	)	)	PUNCT
cana-3813	120	4	where	where	SCONJ
cana-3813	120	5	:	:	PUNCT
cana-3813	120	6	demand	demand	NOUN
cana-3813	120	7	during	during	ADP
cana-3813	120	8	lead	lead	ADJ
cana-3813	120	9	time	time	NOUN
cana-3813	120	10	=	=	SYM
cana-3813	120	11	average	average	ADJ
cana-3813	120	12	demand	demand	NOUN
cana-3813	120	13	per	per	ADP
cana-3813	120	14	unit	unit	NOUN
cana-3813	120	15	of	of	ADP
cana-3813	120	16	time	time	NOUN
cana-3813	120	17	safety	safety	NOUN
cana-3813	120	18	stock	stock	NOUN
cana-3813	120	19	can	can	AUX
cana-3813	120	20	be	be	AUX
cana-3813	120	21	calculated	calculate	VERB
cana-3813	120	22	as	as	SCONJ
cana-3813	120	23	follows	follow	VERB
cana-3813	120	24	:	:	PUNCT
cana-3813	120	25	z	z	NOUN
cana-3813	120	26	*	*	PUNCT
cana-3813	120	27	standard	standard	ADJ
cana-3813	120	28	deviation	deviation	NOUN
cana-3813	120	29	of	of	ADP
cana-3813	120	30	demand	demand	NOUN
cana-3813	120	31	during	during	ADP
cana-3813	120	32	lead	lead	ADJ
cana-3813	120	33	time	time	NOUN
cana-3813	120	34	+	+	X
cana-3813	120	35	z	z	NOUN
cana-3813	120	36	*	*	PUNCT
cana-3813	120	37	standard	standard	ADJ
cana-3813	120	38	deviation	deviation	NOUN
cana-3813	120	39	of	of	ADP
cana-3813	120	40	lead	lead	ADJ
cana-3813	120	41	time	time	NOUN
cana-3813	120	42	demand	demand	NOUN
cana-3813	120	43	.	.	PUNCT
cana-3813	121	1	(	(	PUNCT
cana-3813	121	2	z	z	NOUN
cana-3813	121	3	represents	represent	VERB
cana-3813	121	4	the	the	DET
cana-3813	121	5	z	z	NOUN
cana-3813	121	6	-	-	PUNCT
cana-3813	121	7	score	score	NOUN
cana-3813	121	8	for	for	ADP
cana-3813	121	9	the	the	DET
cana-3813	121	10	intended	intend	VERB
cana-3813	121	11	service	service	NOUN
cana-3813	121	12	level	level	NOUN
cana-3813	121	13	.	.	PUNCT
cana-3813	121	14	)	)	PUNCT
cana-3813	122	1	formulas	formula	NOUN
cana-3813	122	2	for	for	ADP
cana-3813	122	3	calculating	calculate	VERB
cana-3813	122	4	safety	safety	NOUN
cana-3813	122	5	stocks	stock	NOUN
cana-3813	122	6	:	:	PUNCT
cana-3813	122	7	a.	a.	NOUN
cana-3813	122	8	service	service	NOUN
cana-3813	122	9	level	level	NOUN
cana-3813	122	10	approach	approach	NOUN
cana-3813	122	11	:	:	PUNCT
cana-3813	122	12	z	z	NOUN
cana-3813	122	13	is	be	AUX
cana-3813	122	14	the	the	DET
cana-3813	122	15	z	z	NOUN
cana-3813	122	16	-	-	PUNCT
cana-3813	122	17	score	score	NOUN
cana-3813	122	18	that	that	PRON
cana-3813	122	19	corresponds	correspond	VERB
cana-3813	122	20	to	to	ADP
cana-3813	122	21	the	the	DET
cana-3813	122	22	intended	intend	VERB
cana-3813	122	23	service	service	NOUN
cana-3813	122	24	level	level	NOUN
cana-3813	122	25	;	;	PUNCT
cana-3813	122	26	safety	safety	NOUN
cana-3813	122	27	stock	stock	NOUN
cana-3813	122	28	=	=	PUNCT
cana-3813	122	29	z	z	PROPN
cana-3813	122	30	*	*	PUNCT
cana-3813	122	31	standard	standard	ADJ
cana-3813	122	32	deviation	deviation	NOUN
cana-3813	122	33	of	of	ADP
cana-3813	122	34	demand	demand	NOUN
cana-3813	122	35	*	*	PUNCT
cana-3813	122	36	square	square	ADJ
cana-3813	122	37	root	root	NOUN
cana-3813	122	38	of	of	ADP
cana-3813	122	39	lead	lead	ADJ
cana-3813	122	40	time	time	NOUN
cana-3813	122	41	b.	b.	PROPN
cana-3813	122	42	demand	demand	NOUN
cana-3813	122	43	variability	variability	NOUN
cana-3813	122	44	approach	approach	NOUN
cana-3813	122	45	:	:	PUNCT
cana-3813	122	46	z	z	NOUN
cana-3813	122	47	*	*	PUNCT
cana-3813	122	48	standard	standard	ADJ
cana-3813	122	49	deviation	deviation	NOUN
cana-3813	122	50	of	of	ADP
cana-3813	122	51	demand	demand	NOUN
cana-3813	122	52	=	=	PUNCT
cana-3813	122	53	safety	safety	NOUN
cana-3813	122	54	stock	stock	PROPN
cana-3813	122	55	c.	c.	PROPN
cana-3813	122	56	the	the	DET
cana-3813	122	57	lead	lead	ADJ
cana-3813	122	58	time	time	NOUN
cana-3813	122	59	variability	variability	NOUN
cana-3813	122	60	approach	approach	NOUN
cana-3813	122	61	,	,	PUNCT
cana-3813	122	62	which	which	PRON
cana-3813	122	63	uses	use	VERB
cana-3813	122	64	z	z	PROPN
cana-3813	122	65	as	as	ADP
cana-3813	122	66	the	the	DET
cana-3813	122	67	z	z	NOUN
cana-3813	122	68	-	-	PUNCT
cana-3813	122	69	score	score	NOUN
cana-3813	122	70	matching	matching	NOUN
cana-3813	122	71	to	to	ADP
cana-3813	122	72	the	the	DET
cana-3813	122	73	desired	desire	VERB
cana-3813	122	74	service	service	NOUN
cana-3813	122	75	level	level	NOUN
cana-3813	122	76	,	,	PUNCT
cana-3813	122	77	is	be	AUX
cana-3813	122	78	as	as	SCONJ
cana-3813	122	79	follows	follow	VERB
cana-3813	122	80	:	:	PUNCT
cana-3813	122	81	safety	safety	NOUN
cana-3813	122	82	stock	stock	NOUN
cana-3813	122	83	=	=	PUNCT
cana-3813	122	84	z	z	PROPN
cana-3813	122	85	*	*	PUNCT
cana-3813	122	86	standard	standard	ADJ
cana-3813	122	87	deviation	deviation	NOUN
cana-3813	122	88	of	of	ADP
cana-3813	122	89	lead	lead	ADJ
cana-3813	122	90	time	time	NOUN
cana-3813	122	91	demand	demand	NOUN
cana-3813	122	92	.	.	PUNCT
cana-3813	123	1	economic	economic	ADJ
cana-3813	123	2	order	order	NOUN
cana-3813	123	3	quantity	quantity	NOUN
cana-3813	123	4	(	(	PUNCT
cana-3813	123	5	eoq	eoq	NOUN
cana-3813	123	6	)	)	PUNCT
cana-3813	123	7	is	be	AUX
cana-3813	123	8	calculated	calculate	VERB
cana-3813	123	9	as	as	ADP
cana-3813	123	10	the	the	DET
cana-3813	123	11	square	square	ADJ
cana-3813	123	12	root	root	NOUN
cana-3813	123	13	of	of	ADP
cana-3813	123	14	(	(	PUNCT
cana-3813	123	15	(	(	PUNCT
cana-3813	123	16	2	2	NUM
cana-3813	123	17	*	*	NOUN
cana-3813	123	18	demand	demand	NOUN
cana-3813	123	19	*	*	PUNCT
cana-3813	123	20	ordering	order	VERB
cana-3813	123	21	cost	cost	NOUN
cana-3813	123	22	)	)	PUNCT
cana-3813	123	23	/	/	SYM
cana-3813	123	24	holding	hold	VERB
cana-3813	123	25	cost	cost	NOUN
cana-3813	123	26	per	per	ADP
cana-3813	123	27	unit	unit	NOUN
cana-3813	123	28	)	)	PUNCT
cana-3813	123	29	and	and	CCONJ
cana-3813	123	30	is	be	AUX
cana-3813	123	31	then	then	ADV
cana-3813	123	32	recorded	record	VERB
cana-3813	123	33	.	.	PUNCT
cana-3813	124	1	4.3	4.3	NUM
cana-3813	124	2	dataset	dataset	ADJ
cana-3813	124	3	description	description	NOUN
cana-3813	124	4	the	the	DET
cana-3813	124	5	proposed	propose	VERB
cana-3813	124	6	system	system	NOUN
cana-3813	124	7	used	use	VERB
cana-3813	124	8	an	an	DET
cana-3813	124	9	inventory	inventory	NOUN
cana-3813	124	10	dataset	dataset	NOUN
cana-3813	124	11	which	which	PRON
cana-3813	124	12	has	have	VERB
cana-3813	124	13	1,04,8575	1,04,8575	NUM
cana-3813	124	14	samples	sample	NOUN
cana-3813	124	15	and	and	CCONJ
cana-3813	124	16	8	8	NUM
cana-3813	124	17	categories	category	NOUN
cana-3813	124	18	amongst	amongst	ADP
cana-3813	124	19	which	which	PRON
cana-3813	124	20	15	15	NUM
cana-3813	124	21	are	be	AUX
cana-3813	124	22	numerical	numerical	ADJ
cana-3813	124	23	variables	variable	NOUN
cana-3813	124	24	.	.	PUNCT
cana-3813	125	1	each	each	DET
cana-3813	125	2	data	datum	NOUN
cana-3813	125	3	point	point	NOUN
cana-3813	125	4	has	have	AUX
cana-3813	125	5	assigned	assign	VERB
cana-3813	125	6	a	a	DET
cana-3813	125	7	unique	unique	ADJ
cana-3813	125	8	identity	identity	NOUN
cana-3813	125	9	known	know	VERB
cana-3813	125	10	as	as	ADP
cana-3813	125	11	a	a	DET
cana-3813	125	12	stock	stock	NOUN
cana-3813	125	13	keeping	keep	VERB
cana-3813	125	14	unit	unit	NOUN
cana-3813	125	15	(	(	PUNCT
cana-3813	125	16	sku	sku	NOUN
cana-3813	125	17	)	)	PUNCT
cana-3813	125	18	to	to	PART
cana-3813	125	19	identify	identify	VERB
cana-3813	125	20	it	it	PRON
cana-3813	125	21	with	with	ADP
cana-3813	125	22	a	a	DET
cana-3813	125	23	single	single	ADJ
cana-3813	125	24	product	product	NOUN
cana-3813	125	25	.	.	PUNCT
cana-3813	126	1	skus	sku	NOUN
cana-3813	126	2	enable	enable	VERB
cana-3813	126	3	organizations	organization	NOUN
cana-3813	126	4	to	to	PART
cana-3813	126	5	correctly	correctly	ADV
cana-3813	126	6	and	and	CCONJ
cana-3813	126	7	conveniently	conveniently	ADV
cana-3813	126	8	identify	identify	VERB
cana-3813	126	9	and	and	CCONJ
cana-3813	126	10	locate	locate	ADJ
cana-3813	126	11	products	product	NOUN
cana-3813	126	12	,	,	PUNCT
cana-3813	126	13	maintain	maintain	VERB
cana-3813	126	14	stock	stock	NOUN
cana-3813	126	15	levels	level	NOUN
cana-3813	126	16	and	and	CCONJ
cana-3813	126	17	transactions	transaction	NOUN
cana-3813	126	18	,	,	PUNCT
cana-3813	126	19	manage	manage	VERB
cana-3813	126	20	inventory	inventory	NOUN
cana-3813	126	21	,	,	PUNCT
cana-3813	126	22	and	and	CCONJ
cana-3813	126	23	handle	handle	VERB
cana-3813	126	24	orders	order	NOUN
cana-3813	126	25	.	.	PUNCT
cana-3813	127	1	they	they	PRON
cana-3813	127	2	are	be	AUX
cana-3813	127	3	necessary	necessary	ADJ
cana-3813	127	4	for	for	ADP
cana-3813	127	5	effective	effective	ADJ
cana-3813	127	6	inventory	inventory	NOUN
cana-3813	127	7	control	control	NOUN
cana-3813	127	8	,	,	PUNCT
cana-3813	127	9	supply	supply	NOUN
cana-3813	127	10	chain	chain	NOUN
cana-3813	127	11	management	management	NOUN
cana-3813	127	12	,	,	PUNCT
cana-3813	127	13	and	and	CCONJ
cana-3813	127	14	sales	sale	NOUN
cana-3813	127	15	analysis	analysis	NOUN
cana-3813	127	16	[	[	X
cana-3813	127	17	1	1	NUM
cana-3813	127	18	]	]	PUNCT
cana-3813	127	19	.	.	PUNCT
cana-3813	128	1	in	in	ADP
cana-3813	128	2	this	this	DET
cana-3813	128	3	dataset	dataset	NOUN
cana-3813	128	4	,	,	PUNCT
cana-3813	128	5	the	the	DET
cana-3813	128	6	superfluous	superfluous	ADJ
cana-3813	128	7	columns	column	NOUN
cana-3813	128	8	are	be	AUX
cana-3813	128	9	removed	remove	VERB
cana-3813	128	10	for	for	ADP
cana-3813	128	11	efficient	efficient	ADJ
cana-3813	128	12	model	model	NOUN
cana-3813	128	13	building	building	NOUN
cana-3813	128	14	.	.	PUNCT
cana-3813	129	1	a	a	DET
cana-3813	129	2	thorough	thorough	ADJ
cana-3813	129	3	data	data	NOUN
cana-3813	129	4	analysis	analysis	NOUN
cana-3813	129	5	is	be	AUX
cana-3813	129	6	necessary	necessary	ADJ
cana-3813	129	7	in	in	ADP
cana-3813	129	8	understanding	understand	VERB
cana-3813	129	9	the	the	DET
cana-3813	129	10	characteristics	characteristic	NOUN
cana-3813	129	11	,	,	PUNCT
cana-3813	129	12	patterns	pattern	NOUN
cana-3813	129	13	,	,	PUNCT
cana-3813	129	14	and	and	CCONJ
cana-3813	129	15	relationships	relationship	NOUN
cana-3813	129	16	within	within	ADP
cana-3813	129	17	the	the	DET
cana-3813	129	18	data	datum	NOUN
cana-3813	129	19	.	.	PUNCT
cana-3813	130	1	the	the	DET
cana-3813	130	2	data	data	NOUN
cana-3813	130	3	is	be	AUX
cana-3813	130	4	skewed	skew	VERB
cana-3813	130	5	in	in	ADP
cana-3813	130	6	two	two	NUM
cana-3813	130	7	different	different	ADJ
cana-3813	130	8	ways	way	NOUN
cana-3813	130	9	:	:	PUNCT
cana-3813	130	10	first	first	ADV
cana-3813	130	11	,	,	PUNCT
cana-3813	130	12	by	by	ADP
cana-3813	130	13	standardizing	standardize	VERB
cana-3813	130	14	using	use	VERB
cana-3813	130	15	the	the	DET
cana-3813	130	16	formula	formula	NOUN
cana-3813	130	17	(	(	PUNCT
cana-3813	130	18	value	value	NOUN
cana-3813	130	19	median	median	NOUN
cana-3813	130	20	)	)	PUNCT
cana-3813	130	21	/	/	SYM
cana-3813	130	22	(	(	PUNCT
cana-3813	130	23	75th	75th	ADJ
cana-3813	130	24	percentile	percentile	ADJ
cana-3813	130	25	value	value	NOUN
cana-3813	130	26	25th	25th	NOUN
cana-3813	130	27	percentile	percentile	ADJ
cana-3813	130	28	value	value	NOUN
cana-3813	130	29	)	)	PUNCT
cana-3813	130	30	and	and	CCONJ
cana-3813	130	31	second	second	ADJ
cana-3813	130	32	,	,	PUNCT
cana-3813	130	33	by	by	ADP
cana-3813	130	34	applying	apply	VERB
cana-3813	130	35	a	a	DET
cana-3813	130	36	log	log	NOUN
cana-3813	130	37	transformation	transformation	NOUN
cana-3813	130	38	followed	follow	VERB
cana-3813	130	39	by	by	ADP
cana-3813	130	40	a	a	DET
cana-3813	130	41	standard	standard	ADJ
cana-3813	130	42	scaler	scaler	NOUN
cana-3813	130	43	to	to	ADP
cana-3813	130	44	columns	column	NOUN
cana-3813	130	45	that	that	PRON
cana-3813	130	46	are	be	AUX
cana-3813	130	47	positively	positively	ADV
cana-3813	130	48	skewed	skewed	ADJ
cana-3813	130	49	.	.	PUNCT
cana-3813	131	1	4.4	4.4	NUM
cana-3813	131	2	predictive	predictive	ADJ
cana-3813	131	3	analytics	analytic	NOUN
cana-3813	131	4	the	the	DET
cana-3813	131	5	machine	machine	NOUN
cana-3813	131	6	learning	learn	VERB
cana-3813	131	7	model	model	NOUN
cana-3813	131	8	in	in	ADP
cana-3813	131	9	the	the	DET
cana-3813	131	10	inventory	inventory	NOUN
cana-3813	131	11	management	management	NOUN
cana-3813	131	12	system	system	NOUN
cana-3813	131	13	predicates	predicate	VERB
cana-3813	131	14	the	the	DET
cana-3813	131	15	backorder	backorder	NOUN
cana-3813	131	16	;	;	PUNCT
cana-3813	131	17	as	as	ADP
cana-3813	131	18	such	such	ADJ
cana-3813	131	19	,	,	PUNCT
cana-3813	131	20	it	it	PRON
cana-3813	131	21	is	be	AUX
cana-3813	131	22	instrumental	instrumental	ADJ
cana-3813	131	23	in	in	ADP
cana-3813	131	24	fostering	foster	VERB
cana-3813	131	25	decision	decision	NOUN
cana-3813	131	26	-	-	PUNCT
cana-3813	131	27	making	making	NOUN
cana-3813	131	28	[	[	X
cana-3813	131	29	10	10	NUM
cana-3813	131	30	]	]	PUNCT
cana-3813	131	31	.	.	PUNCT
cana-3813	132	1	using	use	VERB
cana-3813	132	2	historical	historical	ADJ
cana-3813	132	3	sales	sale	NOUN
cana-3813	132	4	data	datum	NOUN
cana-3813	132	5	,	,	PUNCT
cana-3813	132	6	the	the	DET
cana-3813	132	7	inventory	inventory	NOUN
cana-3813	132	8	status	status	NOUN
cana-3813	132	9	data	datum	NOUN
cana-3813	132	10	on	on	ADP
cana-3813	132	11	different	different	ADJ
cana-3813	132	12	features	feature	NOUN
cana-3813	132	13	,	,	PUNCT
cana-3813	132	14	and	and	CCONJ
cana-3813	132	15	much	much	ADV
cana-3813	132	16	more	more	ADJ
cana-3813	132	17	,	,	PUNCT
cana-3813	132	18	the	the	DET
cana-3813	132	19	model	model	NOUN
cana-3813	132	20	predicative	predicative	VERB
cana-3813	132	21	the	the	DET
cana-3813	132	22	probability	probability	NOUN
cana-3813	132	23	that	that	SCONJ
cana-3813	132	24	a	a	DET
cana-3813	132	25	specific	specific	ADJ
cana-3813	132	26	product	product	NOUN
cana-3813	132	27	will	will	AUX
cana-3813	132	28	be	be	AUX
cana-3813	132	29	in	in	ADP
cana-3813	132	30	a	a	DET
cana-3813	132	31	backorder	backorder	NOUN
cana-3813	132	32	.	.	PUNCT
cana-3813	133	1	in	in	ADP
cana-3813	133	2	this	this	DET
cana-3813	133	3	regard	regard	NOUN
cana-3813	133	4	,	,	PUNCT
cana-3813	133	5	retailers	retailer	NOUN
cana-3813	133	6	can	can	AUX
cana-3813	133	7	use	use	VERB
cana-3813	133	8	this	this	DET
cana-3813	133	9	tool	tool	NOUN
cana-3813	133	10	to	to	PART
cana-3813	133	11	avoid	avoid	VERB
cana-3813	133	12	stock	stock	NOUN
cana-3813	133	13	-	-	PUNCT
cana-3813	133	14	out	out	NOUN
cana-3813	133	15	or	or	CCONJ
cana-3813	133	16	inventory	inventory	NOUN
cana-3813	133	17	carrying	carry	VERB
cana-3813	133	18	excess	excess	NOUN
cana-3813	133	19	;	;	PUNCT
cana-3813	133	20	this	this	PRON
cana-3813	133	21	at	at	ADP
cana-3813	133	22	times	time	NOUN
cana-3813	133	23	leads	lead	VERB
cana-3813	133	24	to	to	PART
cana-3813	133	25	supply	supply	VERB
cana-3813	133	26	chain	chain	NOUN
cana-3813	133	27	interruptions	interruption	NOUN
cana-3813	133	28	.	.	PUNCT
cana-3813	134	1	consequently	consequently	ADV
cana-3813	134	2	,	,	PUNCT
cana-3813	134	3	i	i	PRON
cana-3813	134	4	find	find	VERB
cana-3813	134	5	the	the	DET
cana-3813	134	6	model	model	NOUN
cana-3813	134	7	instrumental	instrumental	ADJ
cana-3813	134	8	in	in	ADP
cana-3813	134	9	promoting	promote	VERB
cana-3813	134	10	and	and	CCONJ
cana-3813	134	11	enhancing	enhance	VERB
cana-3813	134	12	decision	decision	NOUN
cana-3813	134	13	-	-	PUNCT
cana-3813	134	14	making	making	NOUN
cana-3813	134	15	.	.	PUNCT
cana-3813	135	1	it	it	PRON
cana-3813	135	2	fosters	foster	VERB
cana-3813	135	3	informed	informed	ADJ
cana-3813	135	4	decisions	decision	NOUN
cana-3813	135	5	on	on	ADP
cana-3813	135	6	inventory	inventory	NOUN
cana-3813	135	7	management	management	NOUN
cana-3813	135	8	for	for	ADP
cana-3813	135	9	retailers	retailer	NOUN
cana-3813	135	10	.	.	PUNCT
cana-3813	136	1	it	it	PRON
cana-3813	136	2	,	,	PUNCT
cana-3813	136	3	as	as	ADP
cana-3813	136	4	such	such	ADJ
cana-3813	136	5	,	,	PUNCT
cana-3813	136	6	grants	grant	VERB
cana-3813	136	7	them	they	PRON
cana-3813	136	8	the	the	DET
cana-3813	136	9	chance	chance	NOUN
cana-3813	136	10	to	to	PART
cana-3813	136	11	make	make	VERB
cana-3813	136	12	informed	informed	ADJ
cana-3813	136	13	decisions	decision	NOUN
cana-3813	136	14	,	,	PUNCT
cana-3813	136	15	communications	communication	NOUN
cana-3813	136	16	on	on	ADP
cana-3813	136	17	applied	apply	VERB
cana-3813	136	18	nonlinear	nonlinear	ADJ
cana-3813	136	19	analysis	analysis	NOUN
cana-3813	136	20	issn	issn	NOUN
cana-3813	136	21	:	:	PUNCT
cana-3813	136	22	1074	1074	NUM
cana-3813	136	23	-	-	PUNCT
cana-3813	136	24	133x	133x	NUM
cana-3813	136	25	vol	vol	NOUN
cana-3813	136	26	32	32	NUM
cana-3813	136	27	no	no	NOUN
cana-3813	136	28	.	.	PUNCT
cana-3813	137	1	8s	8s	PROPN
cana-3813	137	2	(	(	PUNCT
cana-3813	137	3	2025	2025	NUM
cana-3813	137	4	)	)	PUNCT
cana-3813	137	5	794	794	NUM
cana-3813	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3813	137	7	direct	direct	ADJ
cana-3813	137	8	resources	resource	NOUN
cana-3813	137	9	effectively	effectively	ADV
cana-3813	137	10	,	,	PUNCT
cana-3813	137	11	and	and	CCONJ
cana-3813	137	12	promote	promote	VERB
cana-3813	137	13	their	their	PRON
cana-3813	137	14	overall	overall	ADJ
cana-3813	137	15	performance	performance	NOUN
cana-3813	137	16	.	.	PUNCT
cana-3813	138	1	5	5	X
cana-3813	138	2	.	.	X
cana-3813	138	3	results	result	NOUN
cana-3813	138	4	and	and	CCONJ
cana-3813	138	5	discussion	discussion	NOUN
cana-3813	138	6	after	after	ADP
cana-3813	138	7	applying	apply	VERB
cana-3813	138	8	the	the	DET
cana-3813	138	9	predictive	predictive	ADJ
cana-3813	138	10	analysis	analysis	NOUN
cana-3813	138	11	,	,	PUNCT
cana-3813	138	12	the	the	DET
cana-3813	138	13	various	various	ADJ
cana-3813	138	14	results	result	NOUN
cana-3813	138	15	obtained	obtain	VERB
cana-3813	138	16	are	be	AUX
cana-3813	138	17	shown	show	VERB
cana-3813	138	18	in	in	ADP
cana-3813	138	19	performance	performance	NOUN
cana-3813	138	20	metrics	metric	NOUN
cana-3813	138	21	evaluation	evaluation	NOUN
cana-3813	138	22	depicted	depict	VERB
cana-3813	138	23	in	in	ADP
cana-3813	138	24	fig	fig	NOUN
cana-3813	138	25	.	.	PUNCT
cana-3813	139	1	1	1	NUM
cana-3813	139	2	.	.	X
cana-3813	139	3	from	from	ADP
cana-3813	139	4	diagram	diagram	NOUN
cana-3813	139	5	,	,	PUNCT
cana-3813	139	6	precision	precision	NOUN
cana-3813	139	7	indicates	indicate	VERB
cana-3813	139	8	that	that	SCONJ
cana-3813	139	9	about	about	ADP
cana-3813	139	10	90.51	90.51	NUM
cana-3813	139	11	%	%	NOUN
cana-3813	139	12	of	of	ADP
cana-3813	139	13	the	the	DET
cana-3813	139	14	instances	instance	NOUN
cana-3813	139	15	predicted	predict	VERB
cana-3813	139	16	by	by	ADP
cana-3813	139	17	the	the	DET
cana-3813	139	18	model	model	NOUN
cana-3813	139	19	as	as	ADP
cana-3813	139	20	positive	positive	ADJ
cana-3813	139	21	(	(	PUNCT
cana-3813	139	22	e.g.	e.g.	ADV
cana-3813	139	23	,	,	PUNCT
cana-3813	139	24	identifying	identify	VERB
cana-3813	139	25	a	a	DET
cana-3813	139	26	specific	specific	ADJ
cana-3813	139	27	condition	condition	NOUN
cana-3813	139	28	,	,	PUNCT
cana-3813	139	29	characteristic	characteristic	ADJ
cana-3813	139	30	,	,	PUNCT
cana-3813	139	31	or	or	CCONJ
cana-3813	139	32	outcome	outcome	NOUN
cana-3813	139	33	)	)	PUNCT
cana-3813	139	34	are	be	AUX
cana-3813	139	35	actually	actually	ADV
cana-3813	139	36	positive	positive	ADJ
cana-3813	139	37	.	.	PUNCT
cana-3813	140	1	this	this	DET
cana-3813	140	2	low	low	ADJ
cana-3813	140	3	precision	precision	NOUN
cana-3813	140	4	suggests	suggest	VERB
cana-3813	140	5	that	that	SCONJ
cana-3813	140	6	the	the	DET
cana-3813	140	7	model	model	NOUN
cana-3813	140	8	generates	generate	VERB
cana-3813	140	9	a	a	DET
cana-3813	140	10	high	high	ADJ
cana-3813	140	11	number	number	NOUN
cana-3813	140	12	of	of	ADP
cana-3813	140	13	true	true	ADJ
cana-3813	140	14	positives	positive	NOUN
cana-3813	140	15	—	—	PUNCT
cana-3813	140	16	predictions	prediction	NOUN
cana-3813	140	17	where	where	SCONJ
cana-3813	140	18	the	the	DET
cana-3813	140	19	model	model	NOUN
cana-3813	140	20	correctly	correctly	ADV
cana-3813	140	21	labels	label	VERB
cana-3813	140	22	an	an	DET
cana-3813	140	23	observation	observation	NOUN
cana-3813	140	24	as	as	ADP
cana-3813	140	25	positive	positive	ADJ
cana-3813	140	26	.	.	PUNCT
cana-3813	141	1	fig	fig	NOUN
cana-3813	141	2	.	.	PUNCT
cana-3813	142	1	1	1	NUM
cana-3813	142	2	performance	performance	NOUN
cana-3813	142	3	metrics	metric	NOUN
cana-3813	142	4	evaluation	evaluation	NOUN
cana-3813	142	5	recall	recall	NOUN
cana-3813	142	6	:	:	PUNCT
cana-3813	142	7	also	also	ADV
cana-3813	142	8	known	know	VERB
cana-3813	142	9	as	as	ADP
cana-3813	142	10	sensitivity	sensitivity	NOUN
cana-3813	142	11	,	,	PUNCT
cana-3813	142	12	the	the	DET
cana-3813	142	13	recall	recall	NOUN
cana-3813	142	14	here	here	ADV
cana-3813	142	15	is	be	AUX
cana-3813	142	16	high	high	ADJ
cana-3813	142	17	,	,	PUNCT
cana-3813	142	18	at	at	ADP
cana-3813	142	19	about	about	ADP
cana-3813	142	20	91.61	91.61	NUM
cana-3813	142	21	%	%	NOUN
cana-3813	142	22	.	.	PUNCT
cana-3813	143	1	this	this	PRON
cana-3813	143	2	means	mean	VERB
cana-3813	143	3	that	that	SCONJ
cana-3813	143	4	the	the	DET
cana-3813	143	5	model	model	NOUN
cana-3813	143	6	identifies	identify	VERB
cana-3813	143	7	only	only	ADV
cana-3813	143	8	91.61	91.61	NUM
cana-3813	143	9	%	%	NOUN
cana-3813	143	10	of	of	ADP
cana-3813	143	11	all	all	DET
cana-3813	143	12	actual	actual	ADJ
cana-3813	143	13	positive	positive	ADJ
cana-3813	143	14	cases	case	NOUN
cana-3813	143	15	.	.	PUNCT
cana-3813	144	1	in	in	ADP
cana-3813	144	2	practical	practical	ADJ
cana-3813	144	3	terms	term	NOUN
cana-3813	144	4	,	,	PUNCT
cana-3813	144	5	this	this	DET
cana-3813	144	6	model	model	NOUN
cana-3813	144	7	fails	fail	VERB
cana-3813	144	8	to	to	PART
cana-3813	144	9	detect	detect	VERB
cana-3813	144	10	the	the	DET
cana-3813	144	11	vast	vast	ADJ
cana-3813	144	12	majority	majority	NOUN
cana-3813	144	13	of	of	ADP
cana-3813	144	14	positive	positive	ADJ
cana-3813	144	15	cases	case	NOUN
cana-3813	144	16	,	,	PUNCT
cana-3813	144	17	which	which	PRON
cana-3813	144	18	could	could	AUX
cana-3813	144	19	be	be	AUX
cana-3813	144	20	critical	critical	ADJ
cana-3813	144	21	depending	depend	VERB
cana-3813	144	22	on	on	ADP
cana-3813	144	23	the	the	DET
cana-3813	144	24	application	application	NOUN
cana-3813	144	25	to	to	ADP
cana-3813	144	26	application	application	NOUN
cana-3813	144	27	.	.	PUNCT
cana-3813	145	1	f1	f1	PROPN
cana-3813	145	2	score	score	NOUN
cana-3813	145	3	:	:	PUNCT
cana-3813	145	4	the	the	DET
cana-3813	145	5	f1	f1	PROPN
cana-3813	145	6	score	score	NOUN
cana-3813	145	7	is	be	AUX
cana-3813	145	8	a	a	DET
cana-3813	145	9	harmonic	harmonic	ADJ
cana-3813	145	10	mean	mean	NOUN
cana-3813	145	11	of	of	ADP
cana-3813	145	12	precision	precision	NOUN
cana-3813	145	13	and	and	CCONJ
cana-3813	145	14	recall	recall	NOUN
cana-3813	145	15	,	,	PUNCT
cana-3813	145	16	used	use	VERB
cana-3813	145	17	as	as	ADP
cana-3813	145	18	a	a	DET
cana-3813	145	19	single	single	ADJ
cana-3813	145	20	metric	metric	NOUN
cana-3813	145	21	to	to	PART
cana-3813	145	22	balance	balance	VERB
cana-3813	145	23	the	the	DET
cana-3813	145	24	two	two	NUM
cana-3813	145	25	—	—	PUNCT
cana-3813	145	26	especially	especially	ADV
cana-3813	145	27	when	when	SCONJ
cana-3813	145	28	there	there	PRON
cana-3813	145	29	is	be	VERB
cana-3813	145	30	an	an	DET
cana-3813	145	31	uneven	uneven	ADJ
cana-3813	145	32	class	class	NOUN
cana-3813	145	33	distribution	distribution	NOUN
cana-3813	145	34	(	(	PUNCT
cana-3813	145	35	bias	bias	NOUN
cana-3813	145	36	towards	towards	ADP
cana-3813	145	37	one	one	NUM
cana-3813	145	38	class	class	NOUN
cana-3813	145	39	)	)	PUNCT
cana-3813	145	40	.	.	PUNCT
cana-3813	146	1	the	the	DET
cana-3813	146	2	high	high	ADJ
cana-3813	146	3	f1	f1	NOUN
cana-3813	146	4	score	score	NOUN
cana-3813	146	5	here	here	ADV
cana-3813	146	6	reflects	reflect	VERB
cana-3813	146	7	outstanding	outstanding	ADJ
cana-3813	146	8	overall	overall	ADJ
cana-3813	146	9	performance	performance	NOUN
cana-3813	146	10	,	,	PUNCT
cana-3813	146	11	combining	combine	VERB
cana-3813	146	12	the	the	DET
cana-3813	146	13	effects	effect	NOUN
cana-3813	146	14	of	of	ADP
cana-3813	146	15	both	both	CCONJ
cana-3813	146	16	high	high	ADJ
cana-3813	146	17	precision	precision	NOUN
cana-3813	146	18	and	and	CCONJ
cana-3813	146	19	high	high	ADJ
cana-3813	146	20	recall	recall	NOUN
cana-3813	146	21	.	.	PUNCT
cana-3813	147	1	this	this	PRON
cana-3813	147	2	shows	show	VERB
cana-3813	147	3	that	that	SCONJ
cana-3813	147	4	the	the	DET
cana-3813	147	5	model	model	NOUN
cana-3813	147	6	is	be	AUX
cana-3813	147	7	generally	generally	ADV
cana-3813	147	8	good	good	ADJ
cana-3813	147	9	at	at	ADP
cana-3813	147	10	correctly	correctly	ADV
cana-3813	147	11	recognising	recognise	VERB
cana-3813	147	12	the	the	DET
cana-3813	147	13	positive	positive	ADJ
cana-3813	147	14	class	class	NOUN
cana-3813	147	15	while	while	SCONJ
cana-3813	147	16	avoiding	avoid	VERB
cana-3813	147	17	misidentifying	misidentify	VERB
cana-3813	147	18	the	the	DET
cana-3813	147	19	negative	negative	ADJ
cana-3813	147	20	class	class	NOUN
cana-3813	147	21	as	as	ADP
cana-3813	147	22	positive	positive	ADJ
cana-3813	147	23	.	.	PUNCT
cana-3813	148	1	the	the	DET
cana-3813	148	2	roc	roc	PROPN
cana-3813	148	3	curve	curve	NOUN
cana-3813	148	4	for	for	ADP
cana-3813	148	5	above	above	ADP
cana-3813	148	6	evaluation	evaluation	NOUN
cana-3813	148	7	matrices	matrix	NOUN
cana-3813	148	8	is	be	AUX
cana-3813	148	9	shown	show	VERB
cana-3813	148	10	in	in	ADP
cana-3813	148	11	fig	fig	NOUN
cana-3813	148	12	.	.	PUNCT
cana-3813	149	1	2	2	X
cana-3813	149	2	.	.	X
cana-3813	149	3	fig	fig	NOUN
cana-3813	149	4	.	.	PUNCT
cana-3813	150	1	2	2	NUM
cana-3813	150	2	roc	roc	PROPN
cana-3813	150	3	curve	curve	VERB
cana-3813	150	4	the	the	DET
cana-3813	150	5	classification	classification	NOUN
cana-3813	150	6	problem	problem	NOUN
cana-3813	150	7	for	for	ADP
cana-3813	150	8	material	material	NOUN
cana-3813	150	9	backorder	backorder	NOUN
cana-3813	150	10	prediction	prediction	NOUN
cana-3813	150	11	in	in	ADP
cana-3813	150	12	inventory	inventory	NOUN
cana-3813	150	13	management	management	NOUN
cana-3813	150	14	have	have	AUX
cana-3813	150	15	been	be	AUX
cana-3813	150	16	already	already	ADV
cana-3813	150	17	researched	research	VERB
cana-3813	150	18	and	and	CCONJ
cana-3813	150	19	proposed	propose	VERB
cana-3813	150	20	by	by	ADP
cana-3813	150	21	various	various	ADJ
cana-3813	150	22	researchers	researcher	NOUN
cana-3813	150	23	.	.	PUNCT
cana-3813	151	1	the	the	DET
cana-3813	151	2	existing	exist	VERB
cana-3813	151	3	research	research	NOUN
cana-3813	151	4	has	have	AUX
cana-3813	151	5	proposed	propose	VERB
cana-3813	151	6	classification	classification	NOUN
cana-3813	151	7	using	use	VERB
cana-3813	151	8	random	random	ADJ
cana-3813	151	9	forest	forest	NOUN
cana-3813	151	10	(	(	PUNCT
cana-3813	151	11	rf	rf	NOUN
cana-3813	151	12	)	)	PUNCT
cana-3813	151	13	.	.	PUNCT
cana-3813	152	1	k	k	X
cana-3813	152	2	-	-	PUNCT
cana-3813	152	3	nearest	near	ADJ
cana-3813	152	4	neighbour	neighbour	NOUN
cana-3813	152	5	(	(	PUNCT
cana-3813	152	6	knn	knn	PROPN
cana-3813	152	7	)	)	PUNCT
cana-3813	152	8	,	,	PUNCT
cana-3813	152	9	multi	multi	ADJ
cana-3813	152	10	-	-	ADJ
cana-3813	152	11	layer	layer	ADJ
cana-3813	152	12	neural	neural	ADJ
cana-3813	152	13	network	network	NOUN
cana-3813	152	14	(	(	PUNCT
cana-3813	152	15	nn	nn	NOUN
cana-3813	152	16	)	)	PUNCT
cana-3813	152	17	,	,	PUNCT
cana-3813	152	18	and	and	CCONJ
cana-3813	152	19	support	support	VERB
cana-3813	152	20	vector	vector	NOUN
cana-3813	152	21	machine	machine	NOUN
cana-3813	152	22	(	(	PUNCT
cana-3813	152	23	svm	svm	PROPN
cana-3813	152	24	)	)	PUNCT
cana-3813	152	25	along	along	ADP
cana-3813	152	26	with	with	ADP
cana-3813	152	27	their	their	PRON
cana-3813	152	28	comparison	comparison	NOUN
cana-3813	152	29	[	[	X
cana-3813	152	30	12	12	NUM
cana-3813	152	31	]	]	PUNCT
cana-3813	152	32	.	.	PUNCT
cana-3813	153	1	the	the	DET
cana-3813	153	2	result	result	NOUN
cana-3813	153	3	obtained	obtain	VERB
cana-3813	153	4	from	from	ADP
cana-3813	153	5	same	same	ADJ
cana-3813	153	6	is	be	AUX
cana-3813	153	7	given	give	VERB
cana-3813	153	8	in	in	ADP
cana-3813	153	9	table	table	NOUN
cana-3813	153	10	2	2	NUM
cana-3813	153	11	.	.	PUNCT
cana-3813	153	12	communications	communication	NOUN
cana-3813	153	13	on	on	ADP
cana-3813	153	14	applied	apply	VERB
cana-3813	153	15	nonlinear	nonlinear	ADJ
cana-3813	153	16	analysis	analysis	NOUN
cana-3813	153	17	issn	issn	NOUN
cana-3813	153	18	:	:	PUNCT
cana-3813	153	19	1074	1074	NUM
cana-3813	153	20	-	-	PUNCT
cana-3813	153	21	133x	133x	NUM
cana-3813	153	22	vol	vol	NOUN
cana-3813	153	23	32	32	NUM
cana-3813	153	24	no	no	NOUN
cana-3813	153	25	.	.	PUNCT
cana-3813	154	1	8s	8s	PROPN
cana-3813	154	2	(	(	PUNCT
cana-3813	154	3	2025	2025	NUM
cana-3813	154	4	)	)	PUNCT
cana-3813	154	5	795	795	NUM
cana-3813	154	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3813	154	7	table	table	NOUN
cana-3813	154	8	2	2	NUM
cana-3813	154	9	.	.	PUNCT
cana-3813	154	10	comparison	comparison	NOUN
cana-3813	154	11	between	between	ADP
cana-3813	154	12	metric	metric	ADJ
cana-3813	154	13	scores	score	NOUN
cana-3813	154	14	of	of	ADP
cana-3813	154	15	existing	exist	VERB
cana-3813	154	16	ml	ml	NOUN
cana-3813	154	17	models	model	NOUN
cana-3813	154	18	and	and	CCONJ
cana-3813	154	19	proposed	propose	VERB
cana-3813	154	20	lr	lr	PROPN
cana-3813	154	21	model	model	NOUN
cana-3813	154	22	fig	fig	PROPN
cana-3813	154	23	.	.	PUNCT
cana-3813	155	1	3	3	NUM
cana-3813	155	2	performance	performance	NOUN
cana-3813	155	3	of	of	ADP
cana-3813	155	4	existing	exist	VERB
cana-3813	155	5	vs	vs	ADP
cana-3813	155	6	proposed	propose	VERB
cana-3813	155	7	lr	lr	NOUN
cana-3813	155	8	model	model	NOUN
cana-3813	155	9	from	from	ADP
cana-3813	155	10	above	above	ADP
cana-3813	155	11	table	table	NOUN
cana-3813	155	12	and	and	CCONJ
cana-3813	155	13	figure	figure	NOUN
cana-3813	155	14	,	,	PUNCT
cana-3813	155	15	it	it	PRON
cana-3813	155	16	has	have	AUX
cana-3813	155	17	been	be	AUX
cana-3813	155	18	observed	observe	VERB
cana-3813	155	19	that	that	SCONJ
cana-3813	155	20	,	,	PUNCT
cana-3813	155	21	the	the	DET
cana-3813	155	22	random	random	ADJ
cana-3813	155	23	forest	forest	NOUN
cana-3813	155	24	gives	give	VERB
cana-3813	155	25	the	the	DET
cana-3813	155	26	better	well	ADJ
cana-3813	155	27	results	result	NOUN
cana-3813	155	28	than	than	ADP
cana-3813	155	29	the	the	DET
cana-3813	155	30	other	other	ADJ
cana-3813	155	31	models	model	NOUN
cana-3813	155	32	with	with	ADP
cana-3813	155	33	respect	respect	NOUN
cana-3813	155	34	to	to	ADP
cana-3813	155	35	accuracy	accuracy	NOUN
cana-3813	155	36	of	of	ADP
cana-3813	155	37	88.82	88.82	NUM
cana-3813	155	38	%	%	NOUN
cana-3813	155	39	,	,	PUNCT
cana-3813	155	40	recall	recall	NOUN
cana-3813	155	41	of	of	ADP
cana-3813	155	42	89.94	89.94	NUM
cana-3813	155	43	%	%	NOUN
cana-3813	155	44	,	,	PUNCT
cana-3813	155	45	f1	f1	NOUN
cana-3813	155	46	-	-	PUNCT
cana-3813	155	47	score	score	NOUN
cana-3813	155	48	of	of	ADP
cana-3813	155	49	89.01	89.01	NUM
cana-3813	155	50	%	%	NOUN
cana-3813	155	51	and	and	CCONJ
cana-3813	155	52	the	the	DET
cana-3813	155	53	precision	precision	NOUN
cana-3813	155	54	of	of	ADP
cana-3813	155	55	88.10	88.10	NUM
cana-3813	155	56	%	%	NOUN
cana-3813	156	1	[	[	X
cana-3813	156	2	12	12	NUM
cana-3813	156	3	]	]	PUNCT
cana-3813	156	4	.	.	PUNCT
cana-3813	157	1	the	the	DET
cana-3813	157	2	proposed	propose	VERB
cana-3813	157	3	has	have	AUX
cana-3813	157	4	used	use	VERB
cana-3813	157	5	advanced	advanced	ADJ
cana-3813	157	6	logistic	logistic	ADJ
cana-3813	157	7	regression	regression	NOUN
cana-3813	157	8	with	with	ADP
cana-3813	157	9	tensor	tensor	NOUN
cana-3813	157	10	flow	flow	NOUN
cana-3813	157	11	for	for	ADP
cana-3813	157	12	validation	validation	NOUN
cana-3813	157	13	.	.	PUNCT
cana-3813	158	1	from	from	ADP
cana-3813	158	2	table	table	NOUN
cana-3813	158	3	2	2	NUM
cana-3813	158	4	,	,	PUNCT
cana-3813	158	5	it	it	PRON
cana-3813	158	6	can	can	AUX
cana-3813	158	7	be	be	AUX
cana-3813	158	8	seen	see	VERB
cana-3813	158	9	that	that	SCONJ
cana-3813	158	10	the	the	DET
cana-3813	158	11	proposed	propose	VERB
cana-3813	158	12	model	model	NOUN
cana-3813	158	13	gives	give	VERB
cana-3813	158	14	better	well	ADJ
cana-3813	158	15	results	result	NOUN
cana-3813	158	16	than	than	ADP
cana-3813	158	17	the	the	DET
cana-3813	158	18	existing	exist	VERB
cana-3813	158	19	models	model	NOUN
cana-3813	158	20	in	in	ADP
cana-3813	158	21	terms	term	NOUN
cana-3813	158	22	of	of	ADP
cana-3813	158	23	accuracy	accuracy	NOUN
cana-3813	158	24	of	of	ADP
cana-3813	158	25	90.62	90.62	NUM
cana-3813	158	26	%	%	NOUN
cana-3813	158	27	,	,	PUNCT
cana-3813	158	28	recall	recall	NOUN
cana-3813	158	29	of	of	ADP
cana-3813	158	30	91.61	91.61	NUM
cana-3813	158	31	%	%	NOUN
cana-3813	158	32	,	,	PUNCT
cana-3813	158	33	f1	f1	NOUN
cana-3813	158	34	-	-	PUNCT
cana-3813	158	35	score	score	NOUN
cana-3813	158	36	of	of	ADP
cana-3813	158	37	91.78	91.78	NUM
cana-3813	158	38	and	and	CCONJ
cana-3813	158	39	the	the	DET
cana-3813	158	40	precision	precision	NOUN
cana-3813	158	41	of	of	ADP
cana-3813	158	42	90.51	90.51	NUM
cana-3813	158	43	.	.	PUNCT
cana-3813	159	1	the	the	DET
cana-3813	159	2	comparison	comparison	NOUN
cana-3813	159	3	between	between	ADP
cana-3813	159	4	performances	performance	NOUN
cana-3813	159	5	of	of	ADP
cana-3813	159	6	existing	exist	VERB
cana-3813	159	7	models	model	NOUN
cana-3813	159	8	vs	vs	ADP
cana-3813	159	9	proposed	propose	VERB
cana-3813	159	10	models	model	NOUN
cana-3813	159	11	is	be	AUX
cana-3813	159	12	depicted	depict	VERB
cana-3813	159	13	in	in	ADP
cana-3813	159	14	fig	fig	NOUN
cana-3813	159	15	.	.	PUNCT
cana-3813	160	1	3	3	X
cana-3813	160	2	.	.	X
cana-3813	160	3	5.2	5.2	NUM
cana-3813	160	4	interpretation	interpretation	NOUN
cana-3813	160	5	and	and	CCONJ
cana-3813	160	6	potential	potential	ADJ
cana-3813	160	7	actions	action	NOUN
cana-3813	160	8	model	model	NOUN
cana-3813	160	9	assessment	assessment	NOUN
cana-3813	160	10	:	:	PUNCT
cana-3813	160	11	these	these	DET
cana-3813	160	12	metrics	metric	NOUN
cana-3813	160	13	suggest	suggest	VERB
cana-3813	160	14	that	that	SCONJ
cana-3813	160	15	the	the	DET
cana-3813	160	16	model	model	NOUN
cana-3813	160	17	is	be	AUX
cana-3813	160	18	not	not	PART
cana-3813	160	19	performing	perform	VERB
cana-3813	160	20	well	well	ADV
cana-3813	160	21	at	at	ADP
cana-3813	160	22	its	its	PRON
cana-3813	160	23	intended	intended	ADJ
cana-3813	160	24	task	task	NOUN
cana-3813	160	25	.	.	PUNCT
cana-3813	161	1	it	it	PRON
cana-3813	161	2	fails	fail	VERB
cana-3813	161	3	to	to	PART
cana-3813	161	4	correctly	correctly	ADV
cana-3813	161	5	identify	identify	VERB
cana-3813	161	6	positive	positive	ADJ
cana-3813	161	7	cases	case	NOUN
cana-3813	161	8	(	(	PUNCT
cana-3813	161	9	low	low	ADJ
cana-3813	161	10	recall	recall	NOUN
cana-3813	161	11	)	)	PUNCT
cana-3813	161	12	and	and	CCONJ
cana-3813	161	13	incorrectly	incorrectly	ADV
cana-3813	161	14	labels	label	VERB
cana-3813	161	15	many	many	ADJ
cana-3813	161	16	negatives	negative	NOUN
cana-3813	161	17	as	as	ADP
cana-3813	161	18	positives	positive	NOUN
cana-3813	161	19	(	(	PUNCT
cana-3813	161	20	low	low	ADJ
cana-3813	161	21	precision	precision	NOUN
cana-3813	161	22	)	)	PUNCT
cana-3813	161	23	.	.	PUNCT
cana-3813	162	1	5.2.1	5.2.1	NUM
cana-3813	162	2	improving	improve	VERB
cana-3813	162	3	the	the	DET
cana-3813	162	4	model	model	NOUN
cana-3813	162	5	:	:	PUNCT
cana-3813	162	6	data	data	NOUN
cana-3813	162	7	quality	quality	NOUN
cana-3813	162	8	and	and	CCONJ
cana-3813	162	9	quantity	quantity	NOUN
cana-3813	162	10	:	:	PUNCT
cana-3813	162	11	ensure	ensure	VERB
cana-3813	162	12	that	that	SCONJ
cana-3813	162	13	the	the	DET
cana-3813	162	14	training	training	NOUN
cana-3813	162	15	data	data	NOUN
cana-3813	162	16	is	be	AUX
cana-3813	162	17	representative	representative	NOUN
cana-3813	162	18	of	of	ADP
cana-3813	162	19	the	the	DET
cana-3813	162	20	real	real	ADJ
cana-3813	162	21	-	-	PUNCT
cana-3813	162	22	world	world	NOUN
cana-3813	162	23	scenario	scenario	NOUN
cana-3813	162	24	,	,	PUNCT
cana-3813	162	25	sufficiently	sufficiently	ADV
cana-3813	162	26	large	large	ADJ
cana-3813	162	27	,	,	PUNCT
cana-3813	162	28	and	and	CCONJ
cana-3813	162	29	accurately	accurately	ADV
cana-3813	162	30	labelled	label	VERB
cana-3813	162	31	.	.	PUNCT
cana-3813	163	1	feature	feature	NOUN
cana-3813	163	2	engineering	engineering	NOUN
cana-3813	163	3	:	:	PUNCT
cana-3813	163	4	investigate	investigate	VERB
cana-3813	163	5	if	if	SCONJ
cana-3813	163	6	adding	add	VERB
cana-3813	163	7	,	,	PUNCT
cana-3813	163	8	modifying	modify	VERB
cana-3813	163	9	,	,	PUNCT
cana-3813	163	10	or	or	CCONJ
cana-3813	163	11	removing	remove	VERB
cana-3813	163	12	features	feature	NOUN
cana-3813	163	13	could	could	AUX
cana-3813	163	14	help	help	VERB
cana-3813	163	15	improve	improve	VERB
cana-3813	163	16	model	model	NOUN
cana-3813	163	17	performance	performance	NOUN
cana-3813	163	18	.	.	PUNCT
cana-3813	164	1	model	model	NOUN
cana-3813	164	2	complexity	complexity	NOUN
cana-3813	164	3	:	:	PUNCT
cana-3813	164	4	consider	consider	VERB
cana-3813	164	5	whether	whether	SCONJ
cana-3813	164	6	a	a	DET
cana-3813	164	7	different	different	ADJ
cana-3813	164	8	model	model	NOUN
cana-3813	164	9	or	or	CCONJ
cana-3813	164	10	more	more	ADV
cana-3813	164	11	complex	complex	ADJ
cana-3813	164	12	algorithms	algorithm	NOUN
cana-3813	164	13	(	(	PUNCT
cana-3813	164	14	or	or	CCONJ
cana-3813	164	15	simpler	simple	ADJ
cana-3813	164	16	,	,	PUNCT
cana-3813	164	17	classifie	classifie	NOUN
cana-3813	164	18	rs	rs	NOUN
cana-3813	164	19	accuracy	accuracy	NOUN
cana-3813	164	20	(	(	PUNCT
cana-3813	164	21	%	%	INTJ
cana-3813	164	22	)	)	PUNCT
cana-3813	164	23	recall	recall	NOUN
cana-3813	164	24	(	(	PUNCT
cana-3813	164	25	%	%	NOUN
cana-3813	164	26	)	)	PUNCT
cana-3813	164	27	f1	f1	NOUN
cana-3813	164	28	-	-	PUNCT
cana-3813	164	29	score	score	NOUN
cana-3813	164	30	(	(	PUNCT
cana-3813	164	31	%	%	INTJ
cana-3813	164	32	)	)	PUNCT
cana-3813	164	33	precision	precision	NOUN
cana-3813	164	34	(	(	PUNCT
cana-3813	164	35	%	%	INTJ
cana-3813	164	36	)	)	PUNCT
cana-3813	164	37	rf	rf	VERB
cana-3813	164	38	88.81	88.81	NUM
cana-3813	164	39	89.93	89.93	NUM
cana-3813	164	40	89.01	89.01	NUM
cana-3813	164	41	88.11	88.11	NUM
cana-3813	164	42	knn	knn	PROPN
cana-3813	164	43	75.92	75.92	NUM
cana-3813	164	44	79.81	79.81	NUM
cana-3813	164	45	76.95	76.95	NUM
cana-3813	164	46	74.31	74.31	NUM
cana-3813	164	47	nn	nn	PROPN
cana-3813	164	48	(	(	PUNCT
cana-3813	164	49	mlp	mlp	PROPN
cana-3813	164	50	)	)	PUNCT
cana-3813	164	51	85.67	85.67	NUM
cana-3813	164	52	85.53	85.53	NUM
cana-3813	164	53	85.74	85.74	NUM
cana-3813	164	54	85.95	85.95	NUM
cana-3813	164	55	svm	svm	NOUN
cana-3813	164	56	72.39	72.39	NUM
cana-3813	164	57	85.85	85.85	NUM
cana-3813	164	58	75.80	75.80	NUM
cana-3813	164	59	67.84	67.84	NUM
cana-3813	164	60	proposed	propose	VERB
cana-3813	164	61	lr	lr	NOUN
cana-3813	164	62	model	model	NOUN
cana-3813	164	63	90.62	90.62	NUM
cana-3813	164	64	91.61	91.61	NUM
cana-3813	164	65	91.78	91.78	NUM
cana-3813	164	66	90.51	90.51	NUM
cana-3813	164	67	communications	communication	NOUN
cana-3813	164	68	on	on	ADP
cana-3813	164	69	applied	apply	VERB
cana-3813	164	70	nonlinear	nonlinear	ADJ
cana-3813	164	71	analysis	analysis	NOUN
cana-3813	164	72	issn	issn	NOUN
cana-3813	164	73	:	:	PUNCT
cana-3813	164	74	1074	1074	NUM
cana-3813	164	75	-	-	PUNCT
cana-3813	164	76	133x	133x	NUM
cana-3813	164	77	vol	vol	NOUN
cana-3813	164	78	32	32	NUM
cana-3813	164	79	no	no	NOUN
cana-3813	164	80	.	.	PUNCT
cana-3813	165	1	8s	8s	PROPN
cana-3813	165	2	(	(	PUNCT
cana-3813	165	3	2025	2025	NUM
cana-3813	165	4	)	)	PUNCT
cana-3813	165	5	796	796	NUM
cana-3813	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3813	165	7	depending	depend	VERB
cana-3813	165	8	on	on	ADP
cana-3813	165	9	current	current	ADJ
cana-3813	165	10	complexity	complexity	NOUN
cana-3813	165	11	)	)	PUNCT
cana-3813	165	12	might	might	AUX
cana-3813	165	13	capture	capture	VERB
cana-3813	165	14	the	the	DET
cana-3813	165	15	patterns	pattern	NOUN
cana-3813	165	16	in	in	ADP
cana-3813	165	17	the	the	DET
cana-3813	165	18	data	datum	NOUN
cana-3813	165	19	better	well	ADV
cana-3813	165	20	.	.	PUNCT
cana-3813	166	1	parameter	parameter	PROPN
cana-3813	166	2	tuning	tuning	NOUN
cana-3813	166	3	:	:	PUNCT
cana-3813	166	4	adjust	adjust	VERB
cana-3813	166	5	the	the	DET
cana-3813	166	6	model	model	NOUN
cana-3813	166	7	parameters	parameter	NOUN
cana-3813	166	8	through	through	ADP
cana-3813	166	9	techniques	technique	NOUN
cana-3813	166	10	like	like	ADP
cana-3813	166	11	grid	grid	NOUN
cana-3813	166	12	search	search	NOUN
cana-3813	166	13	or	or	CCONJ
cana-3813	166	14	random	random	ADJ
cana-3813	166	15	search	search	NOUN
cana-3813	166	16	to	to	PART
cana-3813	166	17	find	find	VERB
cana-3813	166	18	a	a	DET
cana-3813	166	19	better	well	ADJ
cana-3813	166	20	set	set	NOUN
cana-3813	166	21	of	of	ADP
cana-3813	166	22	parameters	parameter	NOUN
cana-3813	166	23	.	.	PUNCT
cana-3813	167	1	balancing	balance	VERB
cana-3813	167	2	the	the	DET
cana-3813	167	3	dataset	dataset	NOUN
cana-3813	167	4	:	:	PUNCT
cana-3813	167	5	if	if	SCONJ
cana-3813	167	6	the	the	DET
cana-3813	167	7	dataset	dataset	NOUN
cana-3813	167	8	is	be	AUX
cana-3813	167	9	uneven	uneven	ADJ
cana-3813	167	10	,	,	PUNCT
cana-3813	167	11	approaches	approach	NOUN
cana-3813	167	12	like	like	ADP
cana-3813	167	13	smote	smote	NOUN
cana-3813	167	14	for	for	ADP
cana-3813	167	15	oversampling	oversample	VERB
cana-3813	167	16	the	the	DET
cana-3813	167	17	minority	minority	NOUN
cana-3813	167	18	class	class	NOUN
cana-3813	167	19	or	or	CCONJ
cana-3813	167	20	under	under	ADP
cana-3813	167	21	sampling	sample	VERB
cana-3813	167	22	the	the	DET
cana-3813	167	23	majority	majority	NOUN
cana-3813	167	24	class	class	NOUN
cana-3813	167	25	may	may	AUX
cana-3813	167	26	be	be	AUX
cana-3813	167	27	useful	useful	ADJ
cana-3813	167	28	.	.	PUNCT
cana-3813	168	1	evaluation	evaluation	NOUN
cana-3813	168	2	metrics	metric	NOUN
cana-3813	168	3	focus	focus	VERB
cana-3813	168	4	:	:	PUNCT
cana-3813	168	5	depending	depend	VERB
cana-3813	168	6	on	on	ADP
cana-3813	168	7	the	the	DET
cana-3813	168	8	specific	specific	ADJ
cana-3813	168	9	requirements	requirement	NOUN
cana-3813	168	10	of	of	ADP
cana-3813	168	11	the	the	DET
cana-3813	168	12	application	application	NOUN
cana-3813	168	13	(	(	PUNCT
cana-3813	168	14	e.g.	e.g.	ADV
cana-3813	168	15	,	,	PUNCT
cana-3813	168	16	in	in	ADP
cana-3813	168	17	a	a	DET
cana-3813	168	18	medical	medical	ADJ
cana-3813	168	19	application	application	NOUN
cana-3813	168	20	,	,	PUNCT
cana-3813	168	21	missing	miss	VERB
cana-3813	168	22	a	a	DET
cana-3813	168	23	positive	positive	ADJ
cana-3813	168	24	case	case	NOUN
cana-3813	168	25	(	(	PUNCT
cana-3813	168	26	low	low	ADJ
cana-3813	168	27	recall	recall	NOUN
cana-3813	168	28	)	)	PUNCT
cana-3813	168	29	might	might	AUX
cana-3813	168	30	be	be	AUX
cana-3813	168	31	more	more	ADV
cana-3813	168	32	critical	critical	ADJ
cana-3813	168	33	than	than	ADP
cana-3813	168	34	incorrectly	incorrectly	ADV
cana-3813	168	35	identifying	identify	VERB
cana-3813	168	36	negative	negative	ADJ
cana-3813	168	37	cases	case	NOUN
cana-3813	168	38	as	as	ADP
cana-3813	168	39	positive	positive	ADJ
cana-3813	168	40	(	(	PUNCT
cana-3813	168	41	low	low	ADJ
cana-3813	168	42	precision	precision	NOUN
cana-3813	168	43	)	)	PUNCT
cana-3813	168	44	)	)	PUNCT
cana-3813	168	45	,	,	PUNCT
cana-3813	168	46	focus	focus	VERB
cana-3813	168	47	on	on	ADP
cana-3813	168	48	improving	improve	VERB
cana-3813	168	49	the	the	DET
cana-3813	168	50	metric	metric	NOUN
cana-3813	168	51	that	that	PRON
cana-3813	168	52	aligns	align	VERB
cana-3813	168	53	best	well	ADV
cana-3813	168	54	with	with	ADP
cana-3813	168	55	the	the	DET
cana-3813	168	56	business	business	NOUN
cana-3813	168	57	or	or	CCONJ
cana-3813	168	58	operational	operational	ADJ
cana-3813	168	59	objectives	objective	NOUN
cana-3813	168	60	.	.	PUNCT
cana-3813	169	1	these	these	DET
cana-3813	169	2	procedures	procedure	NOUN
cana-3813	169	3	could	could	AUX
cana-3813	169	4	aid	aid	VERB
cana-3813	169	5	in	in	ADP
cana-3813	169	6	enhancing	enhance	VERB
cana-3813	169	7	the	the	DET
cana-3813	169	8	model	model	NOUN
cana-3813	169	9	's	's	PART
cana-3813	169	10	prediction	prediction	NOUN
cana-3813	169	11	accuracy	accuracy	NOUN
cana-3813	169	12	and	and	CCONJ
cana-3813	169	13	reliability	reliability	NOUN
cana-3813	169	14	,	,	PUNCT
cana-3813	169	15	making	make	VERB
cana-3813	169	16	it	it	PRON
cana-3813	169	17	more	more	ADV
cana-3813	169	18	effective	effective	ADJ
cana-3813	169	19	in	in	ADP
cana-3813	169	20	real	real	ADJ
cana-3813	169	21	world	world	NOUN
cana-3813	169	22	applications	application	NOUN
cana-3813	169	23	.	.	PUNCT
cana-3813	170	1	6	6	X
cana-3813	170	2	.	.	X
cana-3813	170	3	conclusion	conclusion	NOUN
cana-3813	170	4	this	this	DET
cana-3813	170	5	research	research	NOUN
cana-3813	170	6	paper	paper	NOUN
cana-3813	170	7	showed	show	VERB
cana-3813	170	8	the	the	DET
cana-3813	170	9	results	result	NOUN
cana-3813	170	10	of	of	ADP
cana-3813	170	11	using	use	VERB
cana-3813	170	12	machine	machine	NOUN
cana-3813	170	13	learning	learn	VERB
cana-3813	170	14	classifiers	classifier	NOUN
cana-3813	170	15	in	in	ADP
cana-3813	170	16	a	a	DET
cana-3813	170	17	predictive	predictive	ADJ
cana-3813	170	18	system	system	NOUN
cana-3813	170	19	framework	framework	NOUN
cana-3813	170	20	for	for	ADP
cana-3813	170	21	inventory	inventory	NOUN
cana-3813	170	22	control	control	NOUN
cana-3813	170	23	,	,	PUNCT
cana-3813	170	24	which	which	PRON
cana-3813	170	25	expanded	expand	VERB
cana-3813	170	26	on	on	ADP
cana-3813	170	27	traditional	traditional	ADJ
cana-3813	170	28	inventory	inventory	NOUN
cana-3813	170	29	planning	planning	NOUN
cana-3813	170	30	models	model	NOUN
cana-3813	170	31	widely	widely	ADV
cana-3813	170	32	mentioned	mention	VERB
cana-3813	170	33	in	in	ADP
cana-3813	170	34	the	the	DET
cana-3813	170	35	literature	literature	NOUN
cana-3813	170	36	.	.	PUNCT
cana-3813	171	1	the	the	DET
cana-3813	171	2	real	real	ADJ
cana-3813	171	3	-	-	PUNCT
cana-3813	171	4	world	world	NOUN
cana-3813	171	5	case	case	NOUN
cana-3813	171	6	study	study	NOUN
cana-3813	171	7	conducted	conduct	VERB
cana-3813	171	8	established	establish	VERB
cana-3813	171	9	the	the	DET
cana-3813	171	10	validity	validity	NOUN
cana-3813	171	11	and	and	CCONJ
cana-3813	171	12	effectiveness	effectiveness	NOUN
cana-3813	171	13	of	of	ADP
cana-3813	171	14	this	this	DET
cana-3813	171	15	approach	approach	NOUN
cana-3813	171	16	,	,	PUNCT
cana-3813	171	17	identifying	identify	VERB
cana-3813	171	18	materials	material	NOUN
cana-3813	171	19	at	at	ADP
cana-3813	171	20	high	high	ADJ
cana-3813	171	21	risk	risk	NOUN
cana-3813	171	22	of	of	ADP
cana-3813	171	23	shortage	shortage	NOUN
cana-3813	171	24	in	in	ADP
cana-3813	171	25	a	a	DET
cana-3813	171	26	short	short	ADJ
cana-3813	171	27	period	period	NOUN
cana-3813	171	28	of	of	ADP
cana-3813	171	29	time	time	NOUN
cana-3813	171	30	and	and	CCONJ
cana-3813	171	31	allowing	allow	VERB
cana-3813	171	32	adequate	adequate	ADJ
cana-3813	171	33	chance	chance	NOUN
cana-3813	171	34	for	for	ADP
cana-3813	171	35	timely	timely	ADJ
cana-3813	171	36	response	response	NOUN
cana-3813	171	37	by	by	ADP
cana-3813	171	38	businesses	business	NOUN
cana-3813	171	39	.	.	PUNCT
cana-3813	172	1	such	such	DET
cana-3813	172	2	a	a	DET
cana-3813	172	3	system	system	NOUN
cana-3813	172	4	holds	hold	VERB
cana-3813	172	5	promise	promise	NOUN
cana-3813	172	6	for	for	ADP
cana-3813	172	7	enhancing	enhance	VERB
cana-3813	172	8	a	a	DET
cana-3813	172	9	company	company	NOUN
cana-3813	172	10	's	's	PART
cana-3813	172	11	overall	overall	ADJ
cana-3813	172	12	service	service	NOUN
cana-3813	172	13	level	level	NOUN
cana-3813	172	14	.	.	PUNCT
cana-3813	173	1	future	future	ADJ
cana-3813	173	2	endeavours	endeavour	NOUN
cana-3813	173	3	will	will	AUX
cana-3813	173	4	involve	involve	VERB
cana-3813	173	5	further	further	ADJ
cana-3813	173	6	exploration	exploration	NOUN
cana-3813	173	7	of	of	ADP
cana-3813	173	8	ensemble	ensemble	ADJ
cana-3813	173	9	learning	learning	NOUN
cana-3813	173	10	and	and	CCONJ
cana-3813	173	11	sampling	sampling	NOUN
cana-3813	173	12	-	-	PUNCT
cana-3813	173	13	based	base	VERB
cana-3813	173	14	algorithms	algorithm	NOUN
cana-3813	173	15	for	for	ADP
cana-3813	173	16	classification	classification	NOUN
cana-3813	173	17	,	,	PUNCT
cana-3813	173	18	along	along	ADP
cana-3813	173	19	with	with	ADP
cana-3813	173	20	investigating	investigate	VERB
cana-3813	173	21	learning	learn	VERB
cana-3813	173	22	algorithms	algorithm	NOUN
cana-3813	173	23	rooted	root	VERB
cana-3813	173	24	in	in	ADP
cana-3813	173	25	different	different	ADJ
cana-3813	173	26	methodologies	methodology	NOUN
cana-3813	173	27	such	such	ADJ
cana-3813	173	28	as	as	ADP
cana-3813	173	29	support	support	NOUN
cana-3813	173	30	vector	vector	NOUN
cana-3813	173	31	machines	machine	NOUN
cana-3813	173	32	and	and	CCONJ
cana-3813	173	33	neural	neural	ADJ
cana-3813	173	34	networks	network	NOUN
cana-3813	173	35	,	,	PUNCT
cana-3813	173	36	to	to	PART
cana-3813	173	37	assess	assess	VERB
cana-3813	173	38	potential	potential	ADJ
cana-3813	173	39	performance	performance	NOUN
cana-3813	173	40	enhancements	enhancement	NOUN
cana-3813	173	41	.	.	PUNCT
cana-3813	174	1	additionally	additionally	ADV
cana-3813	174	2	,	,	PUNCT
cana-3813	174	3	there	there	PRON
cana-3813	174	4	is	be	VERB
cana-3813	174	5	a	a	DET
cana-3813	174	6	plan	plan	NOUN
cana-3813	174	7	to	to	PART
cana-3813	174	8	develop	develop	VERB
cana-3813	174	9	a	a	DET
cana-3813	174	10	cost	cost	NOUN
cana-3813	174	11	-	-	PUNCT
cana-3813	174	12	sensitive	sensitive	ADJ
cana-3813	174	13	learning	learning	NOUN
cana-3813	174	14	framework	framework	NOUN
cana-3813	174	15	,	,	PUNCT
cana-3813	174	16	incorporating	incorporate	VERB
cana-3813	174	17	misclassification	misclassification	NOUN
cana-3813	174	18	costs	cost	NOUN
cana-3813	174	19	and	and	CCONJ
cana-3813	174	20	enabling	enable	VERB
cana-3813	174	21	analysis	analysis	NOUN
cana-3813	174	22	of	of	ADP
cana-3813	174	23	cost	cost	NOUN
cana-3813	174	24	curves	curve	NOUN
cana-3813	174	25	in	in	ADP
cana-3813	174	26	model	model	NOUN
cana-3813	174	27	design	design	NOUN
cana-3813	174	28	.	.	PUNCT
cana-3813	175	1	to	to	PART
cana-3813	175	2	make	make	VERB
cana-3813	175	3	the	the	DET
cana-3813	175	4	validation	validation	NOUN
cana-3813	175	5	,	,	PUNCT
cana-3813	175	6	the	the	DET
cana-3813	175	7	proposed	propose	VERB
cana-3813	175	8	model	model	NOUN
cana-3813	175	9	has	have	AUX
cana-3813	175	10	been	be	AUX
cana-3813	175	11	implemented	implement	VERB
cana-3813	175	12	with	with	ADP
cana-3813	175	13	similar	similar	ADJ
cana-3813	175	14	dataset	dataset	NOUN
cana-3813	175	15	used	use	VERB
cana-3813	175	16	by	by	ADP
cana-3813	175	17	existing	exist	VERB
cana-3813	175	18	algorithms	algorithm	NOUN
cana-3813	175	19	.	.	PUNCT
cana-3813	176	1	by	by	ADP
cana-3813	176	2	conclusion	conclusion	NOUN
cana-3813	176	3	,	,	PUNCT
cana-3813	176	4	it	it	PRON
cana-3813	176	5	is	be	AUX
cana-3813	176	6	observed	observe	VERB
cana-3813	176	7	that	that	SCONJ
cana-3813	176	8	the	the	DET
cana-3813	176	9	proposed	propose	VERB
cana-3813	176	10	model	model	NOUN
cana-3813	176	11	works	work	VERB
cana-3813	176	12	well	well	ADV
cana-3813	176	13	than	than	ADP
cana-3813	176	14	the	the	DET
cana-3813	176	15	existing	exist	VERB
cana-3813	176	16	rf	rf	NOUN
cana-3813	176	17	,	,	PUNCT
cana-3813	176	18	knn	knn	PROPN
cana-3813	176	19	,	,	PUNCT
cana-3813	176	20	nn	nn	PROPN
cana-3813	176	21	and	and	CCONJ
cana-3813	176	22	svm	svm	ADJ
cana-3813	176	23	algorithms	algorithm	NOUN
cana-3813	176	24	.	.	PUNCT
cana-3813	177	1	in	in	ADP
cana-3813	177	2	future	future	ADJ
cana-3813	177	3	scope	scope	NOUN
cana-3813	177	4	,	,	PUNCT
cana-3813	177	5	the	the	DET
cana-3813	177	6	same	same	ADJ
cana-3813	177	7	could	could	AUX
cana-3813	177	8	be	be	AUX
cana-3813	177	9	implemented	implement	VERB
cana-3813	177	10	by	by	ADP
cana-3813	177	11	fuzzy	fuzzy	ADJ
cana-3813	177	12	neural	neural	ADJ
cana-3813	177	13	network	network	NOUN
cana-3813	177	14	which	which	PRON
cana-3813	177	15	is	be	AUX
cana-3813	177	16	expected	expect	VERB
cana-3813	177	17	to	to	PART
cana-3813	177	18	give	give	VERB
cana-3813	177	19	better	well	ADJ
cana-3813	177	20	results	result	NOUN
cana-3813	177	21	than	than	ADP
cana-3813	177	22	the	the	DET
cana-3813	177	23	proposed	propose	VERB
cana-3813	177	24	solution	solution	NOUN
cana-3813	177	25	.	.	PUNCT
cana-3813	178	1	references	reference	NOUN
cana-3813	178	2	[	[	X
cana-3813	178	3	1	1	NUM
cana-3813	178	4	]	]	X
cana-3813	178	5	sarit	sarit	PROPN
cana-3813	178	6	maitra	maitra	PROPN
cana-3813	178	7	.	.	PUNCT
cana-3813	179	1	sukanya	sukanya	PROPN
cana-3813	179	2	kundu	kundu	PROPN
cana-3813	179	3	.	.	PUNCT
cana-3813	179	4	:	:	PUNCT
cana-3813	180	1	backorder	backorder	NOUN
cana-3813	180	2	prediction	prediction	NOUN
cana-3813	180	3	in	in	ADP
cana-3813	180	4	inventory	inventory	NOUN
cana-3813	180	5	management	management	NOUN
cana-3813	180	6	:	:	PUNCT
cana-3813	180	7	classification	classification	NOUN
cana-3813	180	8	techniques	technique	NOUN
cana-3813	180	9	and	and	CCONJ
cana-3813	180	10	cost	cost	NOUN
cana-3813	180	11	considerations.27th	considerations.27th	PROPN
cana-3813	180	12	international	international	ADJ
cana-3813	180	13	computer	computer	NOUN
cana-3813	180	14	science	science	NOUN
cana-3813	180	15	and	and	CCONJ
cana-3813	180	16	engineering	engineering	NOUN
cana-3813	180	17	conference	conference	NOUN
cana-3813	180	18	(	(	PUNCT
cana-3813	180	19	icsec	icsec	NOUN
cana-3813	180	20	)	)	PUNCT
cana-3813	180	21	.	.	PUNCT
cana-3813	181	1	2023	2023	NUM
cana-3813	181	2	.	.	PUNCT
cana-3813	182	1	[	[	X
cana-3813	182	2	2	2	NUM
cana-3813	182	3	]	]	X
cana-3813	182	4	smith	smith	PROPN
cana-3813	182	5	,	,	PUNCT
cana-3813	182	6	j.	j.	PROPN
cana-3813	182	7	,	,	PUNCT
cana-3813	182	8	et	et	PROPN
cana-3813	182	9	al	al	PROPN
cana-3813	182	10	.	.	PROPN
cana-3813	182	11	(	(	PUNCT
cana-3813	182	12	2019	2019	NUM
cana-3813	182	13	)	)	PUNCT
cana-3813	182	14	.	.	PUNCT
cana-3813	183	1	advances	advance	NOUN
cana-3813	183	2	in	in	ADP
cana-3813	183	3	inventory	inventory	NOUN
cana-3813	183	4	management	management	NOUN
cana-3813	183	5	.	.	PUNCT
cana-3813	184	1	journal	journal	NOUN
cana-3813	184	2	of	of	ADP
cana-3813	184	3	retailing	retailing	NOUN
cana-3813	184	4	,	,	PUNCT
cana-3813	184	5	42(3	42(3	NUM
cana-3813	184	6	)	)	PUNCT
cana-3813	184	7	,	,	PUNCT
cana-3813	184	8	123	123	NUM
cana-3813	184	9	-	-	SYM
cana-3813	184	10	135	135	NUM
cana-3813	184	11	.	.	PUNCT
cana-3813	185	1	[	[	X
cana-3813	185	2	3	3	NUM
cana-3813	185	3	]	]	SYM
cana-3813	185	4	jones	jones	PROPN
cana-3813	185	5	,	,	PUNCT
cana-3813	185	6	a.	a.	PROPN
cana-3813	185	7	,	,	PUNCT
cana-3813	185	8	&	&	CCONJ
cana-3813	185	9	lee	lee	PROPN
cana-3813	185	10	,	,	PUNCT
cana-3813	185	11	c.	c.	PROPN
cana-3813	185	12	(	(	PUNCT
cana-3813	185	13	2018	2018	NUM
cana-3813	185	14	)	)	PUNCT
cana-3813	185	15	.	.	PUNCT
cana-3813	186	1	challenges	challenge	NOUN
cana-3813	186	2	in	in	ADP
cana-3813	186	3	traditional	traditional	ADJ
cana-3813	186	4	inventory	inventory	NOUN
cana-3813	186	5	management	management	NOUN
cana-3813	186	6	systems	system	NOUN
cana-3813	186	7	.	.	PUNCT
cana-3813	187	1	supply	supply	NOUN
cana-3813	187	2	chain	chain	PROPN
cana-3813	187	3	management	management	NOUN
cana-3813	187	4	review	review	NOUN
cana-3813	187	5	,	,	PUNCT
cana-3813	187	6	18(2	18(2	NUM
cana-3813	187	7	)	)	PUNCT
cana-3813	187	8	,	,	PUNCT
cana-3813	187	9	67	67	NUM
cana-3813	187	10	-	-	SYM
cana-3813	187	11	78	78	NUM
cana-3813	187	12	.	.	PUNCT
cana-3813	188	1	[	[	X
cana-3813	188	2	4	4	NUM
cana-3813	188	3	]	]	X
cana-3813	188	4	brown	brown	PROPN
cana-3813	188	5	,	,	PUNCT
cana-3813	188	6	r.	r.	PROPN
cana-3813	188	7	,	,	PUNCT
cana-3813	188	8	et	et	PROPN
cana-3813	188	9	al	al	PROPN
cana-3813	188	10	.	.	PROPN
cana-3813	188	11	(	(	PUNCT
cana-3813	188	12	2020	2020	NUM
cana-3813	188	13	)	)	PUNCT
cana-3813	188	14	.	.	PUNCT
cana-3813	189	1	integrated	integrate	VERB
cana-3813	189	2	inventory	inventory	NOUN
cana-3813	189	3	management	management	NOUN
cana-3813	189	4	systems	system	NOUN
cana-3813	189	5	.	.	PUNCT
cana-3813	190	1	international	international	ADJ
cana-3813	190	2	journal	journal	PROPN
cana-3813	190	3	of	of	ADP
cana-3813	190	4	operations	operation	NOUN
cana-3813	190	5	management	management	NOUN
cana-3813	190	6	,	,	PUNCT
cana-3813	190	7	35(1	35(1	NUM
cana-3813	190	8	)	)	PUNCT
cana-3813	190	9	,	,	PUNCT
cana-3813	190	10	45	45	NUM
cana-3813	190	11	-	-	SYM
cana-3813	190	12	56	56	NUM
cana-3813	190	13	.	.	PUNCT
cana-3813	191	1	[	[	X
cana-3813	191	2	5	5	NUM
cana-3813	191	3	]	]	X
cana-3813	191	4	chen	chen	PROPN
cana-3813	191	5	,	,	PUNCT
cana-3813	191	6	l.	l.	PROPN
cana-3813	191	7	,	,	PUNCT
cana-3813	191	8	et	et	PROPN
cana-3813	191	9	al	al	PROPN
cana-3813	191	10	.	.	PROPN
cana-3813	191	11	(	(	PUNCT
cana-3813	191	12	2021	2021	NUM
cana-3813	191	13	)	)	PUNCT
cana-3813	191	14	.	.	PUNCT
cana-3813	191	15	machine	machine	NOUN
cana-3813	191	16	learning	learning	NOUN
cana-3813	191	17	and	and	CCONJ
cana-3813	191	18	deep	deep	ADJ
cana-3813	191	19	learning	learning	NOUN
cana-3813	191	20	for	for	ADP
cana-3813	191	21	inventory	inventory	NOUN
cana-3813	191	22	optimization	optimization	NOUN
cana-3813	191	23	.	.	PUNCT
cana-3813	192	1	ieee	ieee	NOUN
cana-3813	192	2	transactions	transaction	NOUN
cana-3813	192	3	on	on	ADP
cana-3813	192	4	industrial	industrial	ADJ
cana-3813	192	5	informatics	informatic	NOUN
cana-3813	192	6	,	,	PUNCT
cana-3813	192	7	67(4	67(4	NUM
cana-3813	192	8	)	)	PUNCT
cana-3813	192	9	,	,	PUNCT
cana-3813	192	10	210	210	NUM
cana-3813	192	11	-	-	SYM
cana-3813	192	12	225	225	NUM
cana-3813	192	13	.	.	PUNCT
cana-3813	193	1	[	[	X
cana-3813	193	2	6	6	NUM
cana-3813	193	3	]	]	X
cana-3813	193	4	patel	patel	PROPN
cana-3813	193	5	,	,	PUNCT
cana-3813	193	6	r.	r.	PROPN
cana-3813	193	7	,	,	PUNCT
cana-3813	193	8	et	et	PROPN
cana-3813	193	9	al	al	PROPN
cana-3813	193	10	.	.	PROPN
cana-3813	193	11	(	(	PUNCT
cana-3813	193	12	2019	2019	NUM
cana-3813	193	13	)	)	PUNCT
cana-3813	193	14	.	.	PUNCT
cana-3813	194	1	applications	application	NOUN
cana-3813	194	2	of	of	ADP
cana-3813	194	3	deep	deep	ADJ
cana-3813	194	4	learning	learning	NOUN
cana-3813	194	5	in	in	ADP
cana-3813	194	6	time	time	NOUN
cana-3813	194	7	-	-	PUNCT
cana-3813	194	8	series	series	NOUN
cana-3813	194	9	forecasting	forecasting	NOUN
cana-3813	194	10	.	.	PUNCT
cana-3813	195	1	journal	journal	PROPN
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cana-3813	195	3	business	business	NOUN
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cana-3813	195	5	,	,	PUNCT
cana-3813	195	6	78(1	78(1	NOUN
cana-3813	195	7	)	)	PUNCT
cana-3813	195	8	,	,	PUNCT
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cana-3813	195	10	-	-	SYM
cana-3813	195	11	68	68	NUM
cana-3813	195	12	.	.	PUNCT
cana-3813	196	1	[	[	X
cana-3813	196	2	7	7	NUM
cana-3813	196	3	]	]	X
cana-3813	196	4	wang	wang	PROPN
cana-3813	196	5	,	,	PUNCT
cana-3813	196	6	y.	y.	PROPN
cana-3813	196	7	,	,	PUNCT
cana-3813	196	8	et	et	PROPN
cana-3813	196	9	al	al	PROPN
cana-3813	196	10	.	.	PUNCT
cana-3813	196	11	(	(	PUNCT
cana-3813	196	12	2017	2017	NUM
cana-3813	196	13	)	)	PUNCT
cana-3813	196	14	.	.	PUNCT
cana-3813	197	1	user	user	NOUN
cana-3813	197	2	interface	interface	NOUN
cana-3813	197	3	design	design	NOUN
cana-3813	197	4	in	in	ADP
cana-3813	197	5	inventory	inventory	NOUN
cana-3813	197	6	management	management	NOUN
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cana-3813	197	8	.	.	PUNCT
cana-3813	198	1	journal	journal	PROPN
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cana-3813	198	3	human	human	ADJ
cana-3813	198	4	-	-	PUNCT
cana-3813	198	5	computer	computer	NOUN
cana-3813	198	6	interaction	interaction	NOUN
cana-3813	198	7	,	,	PUNCT
cana-3813	198	8	32(2	32(2	NUM
cana-3813	198	9	)	)	PUNCT
cana-3813	198	10	,	,	PUNCT
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cana-3813	198	12	-	-	SYM
cana-3813	198	13	102	102	NUM
cana-3813	198	14	.	.	PUNCT
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cana-3813	199	2	on	on	ADP
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cana-3813	199	4	nonlinear	nonlinear	ADJ
cana-3813	199	5	analysis	analysis	NOUN
cana-3813	199	6	issn	issn	NOUN
cana-3813	199	7	:	:	PUNCT
cana-3813	199	8	1074	1074	NUM
cana-3813	199	9	-	-	PUNCT
cana-3813	199	10	133x	133x	NUM
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cana-3813	199	12	32	32	NUM
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cana-3813	199	14	.	.	PUNCT
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cana-3813	200	2	(	(	PUNCT
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cana-3813	200	4	)	)	PUNCT
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cana-3813	201	2	8	8	NUM
cana-3813	201	3	]	]	X
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cana-3813	201	5	,	,	PUNCT
cana-3813	201	6	a.	a.	PROPN
cana-3813	201	7	,	,	PUNCT
cana-3813	201	8	&	&	CCONJ
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cana-3813	201	10	,	,	PUNCT
cana-3813	201	11	e.	e.	PROPN
cana-3813	201	12	(	(	PUNCT
cana-3813	201	13	2018	2018	NUM
cana-3813	201	14	)	)	PUNCT
cana-3813	201	15	.	.	PUNCT
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cana-3813	202	9	.	.	PUNCT
cana-3813	203	1	journal	journal	PROPN
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cana-3813	203	5	,	,	PUNCT
cana-3813	203	6	25(2	25(2	NUM
cana-3813	203	7	)	)	PUNCT
cana-3813	203	8	,	,	PUNCT
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cana-3813	203	10	-	-	SYM
cana-3813	203	11	102	102	NUM
cana-3813	203	12	.	.	PUNCT
cana-3813	204	1	[	[	X
cana-3813	204	2	9	9	NUM
cana-3813	204	3	]	]	X
cana-3813	204	4	santis	santis	PROPN
cana-3813	204	5	,	,	PUNCT
cana-3813	204	6	rodrigo	rodrigo	PROPN
cana-3813	204	7	&	&	CCONJ
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cana-3813	204	9	de	de	PROPN
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cana-3813	204	11	,	,	PUNCT
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cana-3813	205	1	(	(	PUNCT
cana-3813	205	2	2017	2017	NUM
cana-3813	205	3	)	)	PUNCT
cana-3813	205	4	.	.	PUNCT
cana-3813	206	1	predicting	predict	VERB
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cana-3813	206	5	inventory	inventory	NOUN
cana-3813	206	6	management	management	NOUN
cana-3813	206	7	using	use	VERB
cana-3813	206	8	machine	machine	NOUN
cana-3813	206	9	learning	learning	NOUN
cana-3813	206	10	.	.	PUNCT
cana-3813	207	1	ieee	ieee	PROPN
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cana-3813	207	8	.	.	PUNCT
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cana-3813	208	2	10	10	NUM
cana-3813	208	3	]	]	X
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cana-3813	208	14	:	:	PUNCT
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cana-3813	208	16	management	management	NOUN
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cana-3813	208	18	machine	machine	NOUN
cana-3813	208	19	learning	learning	NOUN
cana-3813	208	20	.	.	PUNCT
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cana-3813	209	8	(	(	PUNCT
cana-3813	209	9	ijert	ijert	PROPN
cana-3813	209	10	)	)	PUNCT
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cana-3813	210	2	.	.	NOUN
cana-3813	210	3	9	9	NUM
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cana-3813	210	6	,	,	PUNCT
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cana-3813	210	8	.	.	PUNCT
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cana-3813	211	3	]	]	PUNCT
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cana-3813	211	6	.	.	PUNCT
cana-3813	212	1	j.c	j.c	PROPN
cana-3813	212	2	.	.	PROPN
cana-3813	212	3	fransoo	fransoo	PROPN
cana-3813	212	4	.	.	PUNCT
cana-3813	213	1	:	:	PUNCT
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cana-3813	213	8	.	.	PUNCT
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cana-3813	214	2	journal	journal	PROPN
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cana-3813	214	6	.	.	PUNCT
cana-3813	215	1	volume	volume	NOUN
cana-3813	215	2	159	159	NUM
cana-3813	215	3	.	.	PUNCT
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cana-3813	216	2	2015	2015	NUM
cana-3813	216	3	.	.	PUNCT
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cana-3813	217	3	-	-	SYM
cana-3813	217	4	264	264	NUM
cana-3813	217	5	.	.	PUNCT
cana-3813	218	1	[	[	X
cana-3813	218	2	12	12	NUM
cana-3813	218	3	]	]	SYM
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cana-3813	218	5	,	,	PUNCT
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cana-3813	218	11	p.	p.	PROPN
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cana-3813	218	13	.	.	PUNCT
cana-3813	219	1	s.	s.	PROPN
cana-3813	219	2	:	:	PUNCT
cana-3813	219	3	an	an	DET
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cana-3813	219	5	machine	machine	NOUN
cana-3813	219	6	learning	learn	VERB
cana-3813	219	7	model	model	NOUN
cana-3813	219	8	for	for	ADP
cana-3813	219	9	material	material	NOUN
cana-3813	219	10	backorder	backorder	NOUN
cana-3813	219	11	prediction	prediction	NOUN
cana-3813	219	12	in	in	ADP
cana-3813	219	13	inventory	inventory	NOUN
cana-3813	219	14	management	management	NOUN
cana-3813	219	15	.	.	PUNCT
cana-3813	220	1	sensors	sensor	NOUN
cana-3813	220	2	2021	2021	NUM
cana-3813	220	3	.	.	PUNCT
cana-3813	221	1	https://doi.org/10.3390/s21237926	https://doi.org/10.3390/s21237926	NUM
cana-3813	222	1	[	[	X
cana-3813	222	2	13	13	NUM
cana-3813	222	3	]	]	PUNCT
cana-3813	222	4	liming	lime	VERB
cana-3813	222	5	liu	liu	PROPN
cana-3813	222	6	.	.	PUNCT
cana-3813	223	1	xue	xue	PROPN
cana-3813	223	2	-	-	PUNCT
cana-3813	223	3	ming	ming	PROPN
cana-3813	223	4	yuan	yuan	PROPN
cana-3813	223	5	.	.	PUNCT
cana-3813	223	6	:	:	PUNCT
cana-3813	224	1	coordinated	coordinate	VERB
cana-3813	224	2	replenishments	replenishment	NOUN
cana-3813	224	3	in	in	ADP
cana-3813	224	4	inventory	inventory	NOUN
cana-3813	224	5	systems	system	NOUN
cana-3813	224	6	with	with	ADP
cana-3813	224	7	correlated	correlate	VERB
cana-3813	224	8	demands	demand	NOUN
cana-3813	224	9	.	.	PUNCT
cana-3813	225	1	european	european	ADJ
cana-3813	225	2	journal	journal	PROPN
cana-3813	225	3	of	of	ADP
cana-3813	225	4	operational	operational	ADJ
cana-3813	225	5	research	research	NOUN
cana-3813	225	6	.	.	PUNCT
cana-3813	226	1	volume	volume	NOUN
cana-3813	226	2	123	123	NUM
cana-3813	226	3	,	,	PUNCT
cana-3813	226	4	issue	issue	NOUN
cana-3813	226	5	3	3	NUM
cana-3813	226	6	.	.	NOUN
cana-3813	226	7	2000	2000	NUM
cana-3813	226	8	.	.	PUNCT
cana-3813	227	1	pages	page	NOUN
cana-3813	227	2	490	490	NUM
cana-3813	227	3	-	-	SYM
cana-3813	227	4	503	503	NUM
cana-3813	227	5	.	.	PUNCT
cana-3813	228	1	[	[	X
cana-3813	228	2	14	14	NUM
cana-3813	228	3	]	]	X
cana-3813	228	4	jean	jean	PROPN
cana-3813	228	5	-	-	PUNCT
cana-3813	228	6	claude	claude	PROPN
cana-3813	228	7	munyaka	munyaka	PROPN
cana-3813	228	8	baraka	baraka	PROPN
cana-3813	228	9	.	.	PUNCT
cana-3813	229	1	sarma	sarma	PROPN
cana-3813	229	2	venkata	venkata	PROPN
cana-3813	229	3	yadavalli	yadavalli	PROPN
cana-3813	229	4	.	.	PUNCT
cana-3813	229	5	:	:	PUNCT
cana-3813	230	1	inventory	inventory	NOUN
cana-3813	230	2	management	management	NOUN
cana-3813	230	3	concepts	concept	NOUN
cana-3813	230	4	and	and	CCONJ
cana-3813	230	5	implementations	implementation	NOUN
cana-3813	230	6	:	:	PUNCT
cana-3813	230	7	a	a	DET
cana-3813	230	8	systematic	systematic	ADJ
cana-3813	230	9	review	review	NOUN
cana-3813	230	10	.	.	PUNCT
cana-3813	231	1	south	south	ADJ
cana-3813	231	2	african	african	ADJ
cana-3813	231	3	journal	journal	PROPN
cana-3813	231	4	of	of	ADP
cana-3813	231	5	industrial	industrial	ADJ
cana-3813	231	6	engineering	engineering	NOUN
cana-3813	231	7	vol	vol	NOUN
cana-3813	231	8	33	33	NUM
cana-3813	231	9	,	,	PUNCT
cana-3813	231	10	no	no	DET
cana-3813	231	11	2(2022	2(2022	NOUN
cana-3813	231	12	)	)	PUNCT
cana-3813	231	13	.	.	PUNCT
cana-3813	232	1	pp	pp	ADP
cana-3813	232	2	15	15	NUM
cana-3813	232	3	-	-	SYM
cana-3813	232	4	36	36	NUM
cana-3813	232	5	.	.	PUNCT
cana-3813	233	1	[	[	X
cana-3813	233	2	15	15	NUM
cana-3813	233	3	]	]	X
cana-3813	233	4	chuning	chune	VERB
cana-3813	233	5	deng	deng	PROPN
cana-3813	233	6	.	.	PUNCT
cana-3813	234	1	yongji	yongji	PROPN
cana-3813	234	2	liu	liu	PROPN
cana-3813	234	3	.	.	PUNCT
cana-3813	234	4	:	:	PUNCT
cana-3813	235	1	a	a	DET
cana-3813	235	2	deep	deep	ADJ
cana-3813	235	3	learning	learning	NOUN
cana-3813	235	4	-	-	PUNCT
cana-3813	235	5	based	base	VERB
cana-3813	235	6	inventory	inventory	NOUN
cana-3813	235	7	management	management	NOUN
cana-3813	235	8	and	and	CCONJ
cana-3813	235	9	demand	demand	NOUN
cana-3813	235	10	prediction	prediction	NOUN
cana-3813	235	11	optimization	optimization	NOUN
cana-3813	235	12	method	method	NOUN
cana-3813	235	13	for	for	ADP
cana-3813	235	14	anomaly	anomaly	NOUN
cana-3813	235	15	detection	detection	NOUN
cana-3813	235	16	.	.	PUNCT
cana-3813	236	1	wireless	wireless	ADJ
cana-3813	236	2	communications	communication	NOUN
cana-3813	236	3	and	and	CCONJ
cana-3813	236	4	mobile	mobile	NOUN
cana-3813	236	5	computing	computing	NOUN
cana-3813	236	6	2021	2021	NUM
cana-3813	236	7	.	.	PUNCT
cana-3813	237	1	pp	pp	ADP
cana-3813	237	2	1	1	NUM
cana-3813	237	3	-	-	SYM
cana-3813	237	4	14	14	NUM
cana-3813	237	5	.	.	PUNCT
cana-3813	238	1	[	[	X
cana-3813	238	2	16	16	NUM
cana-3813	238	3	]	]	PUNCT
cana-3813	238	4	r.	r.	PROPN
cana-3813	238	5	b.	b.	PROPN
cana-3813	238	6	de	de	PROPN
cana-3813	238	7	santis	santis	PROPN
cana-3813	238	8	.	.	PUNCT
cana-3813	239	1	e.	e.	PROPN
cana-3813	239	2	p.	p.	PROPN
cana-3813	239	3	de	de	PROPN
cana-3813	239	4	aguiar	aguiar	PROPN
cana-3813	239	5	.	.	PUNCT
cana-3813	240	1	l.	l.	PROPN
cana-3813	240	2	goliatt.:predicting	goliatt.:predicting	PROPN
cana-3813	240	3	material	material	NOUN
cana-3813	240	4	backorders	backorder	NOUN
cana-3813	240	5	in	in	ADP
cana-3813	240	6	inventory	inventory	NOUN
cana-3813	240	7	management	management	NOUN
cana-3813	240	8	using	use	VERB
cana-3813	240	9	machine	machine	NOUN
cana-3813	240	10	learning	learning	NOUN
cana-3813	240	11	.	.	PUNCT
cana-3813	241	1	ieee	ieee	PROPN
cana-3813	241	2	latin	latin	PROPN
cana-3813	241	3	american	american	PROPN
cana-3813	241	4	conference	conference	PROPN
cana-3813	241	5	on	on	ADP
cana-3813	241	6	computational	computational	ADJ
cana-3813	241	7	intelligence	intelligence	NOUN
cana-3813	241	8	(	(	PUNCT
cana-3813	241	9	la	la	PROPN
cana-3813	241	10	-	-	NOUN
cana-3813	241	11	cci	cci	PROPN
cana-3813	241	12	)	)	PUNCT
cana-3813	241	13	.	.	PUNCT
cana-3813	242	1	2017.pp	2017.pp	NUM
cana-3813	242	2	.	.	PUNCT
cana-3813	243	1	1	1	NUM
cana-3813	243	2	-	-	SYM
cana-3813	243	3	6	6	NUM
cana-3813	243	4	.	.	PUNCT