id	sid	tid	token	lemma	pos
bibechana-62465	1	1	bibechana	bibechana	PROPN
bibechana-62465	1	2	vol	vol	NOUN
bibechana-62465	1	3	.	.	PROPN
bibechana-62465	2	1	21	21	NUM
bibechana-62465	2	2	,	,	PUNCT
bibechana-62465	2	3	no	no	INTJ
bibechana-62465	2	4	.	.	NOUN
bibechana-62465	2	5	2	2	NUM
bibechana-62465	2	6	,	,	PUNCT
bibechana-62465	2	7	august	august	PROPN
bibechana-62465	2	8	2024	2024	NUM
bibechana-62465	2	9	,	,	PUNCT
bibechana-62465	2	10	159	159	NUM
bibechana-62465	2	11	-	-	SYM
bibechana-62465	2	12	170	170	NUM
bibechana-62465	2	13	issn	issn	PROPN
bibechana-62465	2	14	2091	2091	NUM
bibechana-62465	2	15	-	-	SYM
bibechana-62465	2	16	0762	0762	NUM
bibechana-62465	2	17	(	(	PUNCT
bibechana-62465	2	18	print	print	NOUN
bibechana-62465	2	19	)	)	PUNCT
bibechana-62465	2	20	,	,	PUNCT
bibechana-62465	2	21	2382	2382	NUM
bibechana-62465	2	22	-	-	SYM
bibechana-62465	2	23	5340	5340	NUM
bibechana-62465	2	24	(	(	PUNCT
bibechana-62465	2	25	online	online	ADJ
bibechana-62465	2	26	)	)	PUNCT
bibechana-62465	2	27	journal	journal	NOUN
bibechana-62465	2	28	homepage	homepage	NOUN
bibechana-62465	2	29	:	:	PUNCT
bibechana-62465	2	30	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	PROPN
bibechana-62465	2	31	publisher	publisher	NOUN
bibechana-62465	2	32	:	:	PUNCT
bibechana-62465	2	33	dept	dept	PROPN
bibechana-62465	2	34	.	.	PROPN
bibechana-62465	2	35	of	of	ADP
bibechana-62465	2	36	phys	phy	NOUN
bibechana-62465	2	37	.	.	PUNCT
bibechana-62465	2	38	,	,	PUNCT
bibechana-62465	2	39	mahendra	mahendra	PROPN
bibechana-62465	2	40	morang	morang	PROPN
bibechana-62465	2	41	a.	a.	PROPN
bibechana-62465	2	42	m.	m.	PROPN
bibechana-62465	2	43	campus	campus	PROPN
bibechana-62465	2	44	(	(	PUNCT
bibechana-62465	2	45	tribhuvan	tribhuvan	PROPN
bibechana-62465	2	46	university	university	NOUN
bibechana-62465	2	47	)	)	PUNCT
bibechana-62465	2	48	biratnagar	biratnagar	ADJ
bibechana-62465	2	49	comparative	comparative	ADJ
bibechana-62465	2	50	study	study	NOUN
bibechana-62465	2	51	of	of	ADP
bibechana-62465	2	52	machine	machine	NOUN
bibechana-62465	2	53	learning	learning	NOUN
bibechana-62465	2	54	based	base	VERB
bibechana-62465	2	55	prediction	prediction	NOUN
bibechana-62465	2	56	of	of	ADP
bibechana-62465	2	57	supercapacitance	supercapacitance	NOUN
bibechana-62465	2	58	performance	performance	NOUN
bibechana-62465	2	59	of	of	ADP
bibechana-62465	2	60	activated	activate	VERB
bibechana-62465	2	61	carbon	carbon	NOUN
bibechana-62465	2	62	prepared	prepare	VERB
bibechana-62465	2	63	from	from	ADP
bibechana-62465	2	64	bio	bio	ADJ
bibechana-62465	2	65	-	-	PUNCT
bibechana-62465	2	66	based	base	VERB
bibechana-62465	2	67	materials	material	NOUN
bibechana-62465	2	68	kirti	kirti	PROPN
bibechana-62465	2	69	bir	bir	PROPN
bibechana-62465	2	70	rajguru1	rajguru1	PROPN
bibechana-62465	2	71	,	,	PUNCT
bibechana-62465	2	72	sujan	sujan	NOUN
bibechana-62465	2	73	bhandari2	bhandari2	PROPN
bibechana-62465	2	74	,	,	PUNCT
bibechana-62465	2	75	ganesh	ganesh	PROPN
bibechana-62465	2	76	kumar	kumar	PROPN
bibechana-62465	2	77	shrestha1	shrestha1	PROPN
bibechana-62465	2	78	,	,	PUNCT
bibechana-62465	2	79	chhabi	chhabi	PROPN
bibechana-62465	2	80	lal	lal	PROPN
bibechana-62465	2	81	gnawali1,∗	gnawali1,∗	PROPN
bibechana-62465	2	82	,	,	PUNCT
bibechana-62465	2	83	bhadra	bhadra	PROPN
bibechana-62465	2	84	prasad	prasad	PROPN
bibechana-62465	2	85	pokharel1	pokharel1	PROPN
bibechana-62465	3	1	1department	1department	NUM
bibechana-62465	3	2	of	of	ADP
bibechana-62465	3	3	applied	apply	VERB
bibechana-62465	3	4	sciences	science	NOUN
bibechana-62465	3	5	and	and	CCONJ
bibechana-62465	3	6	chemical	chemical	PROPN
bibechana-62465	3	7	engineering	engineering	NOUN
bibechana-62465	3	8	,	,	PUNCT
bibechana-62465	3	9	pulchowk	pulchowk	NOUN
bibechana-62465	3	10	campus	campus	PROPN
bibechana-62465	3	11	,	,	PUNCT
bibechana-62465	3	12	institute	institute	NOUN
bibechana-62465	3	13	of	of	ADP
bibechana-62465	3	14	engineering	engineering	PROPN
bibechana-62465	3	15	(	(	PUNCT
bibechana-62465	3	16	ioe	ioe	PROPN
bibechana-62465	3	17	)	)	PUNCT
bibechana-62465	3	18	,	,	PUNCT
bibechana-62465	3	19	tribhuvan	tribhuvan	PROPN
bibechana-62465	3	20	university	university	PROPN
bibechana-62465	3	21	,	,	PUNCT
bibechana-62465	3	22	lalitpur	lalitpur	PROPN
bibechana-62465	3	23	,	,	PUNCT
bibechana-62465	3	24	nepal	nepal	ADJ
bibechana-62465	3	25	2central	2central	NUM
bibechana-62465	3	26	department	department	NOUN
bibechana-62465	3	27	of	of	ADP
bibechana-62465	3	28	physics	physics	PROPN
bibechana-62465	3	29	,	,	PUNCT
bibechana-62465	3	30	tribhuvan	tribhuvan	PROPN
bibechana-62465	3	31	university	university	PROPN
bibechana-62465	3	32	,	,	PUNCT
bibechana-62465	3	33	kirtipur	kirtipur	NOUN
bibechana-62465	3	34	,	,	PUNCT
bibechana-62465	3	35	kathmandu	kathmandu	NOUN
bibechana-62465	3	36	,	,	PUNCT
bibechana-62465	3	37	nepal	nepal	ADJ
bibechana-62465	3	38	∗corresponding	∗corresponde	VERB
bibechana-62465	3	39	author	author	NOUN
bibechana-62465	3	40	:	:	PUNCT
bibechana-62465	3	41	email	email	NOUN
bibechana-62465	3	42	:	:	PUNCT
bibechana-62465	3	43	chhabig123@ioe.edu.np	chhabig123@ioe.edu.np	PROPN
bibechana-62465	3	44	abstract	abstract	VERB
bibechana-62465	3	45	the	the	DET
bibechana-62465	3	46	performance	performance	NOUN
bibechana-62465	3	47	of	of	ADP
bibechana-62465	3	48	electrochemical	electrochemical	ADJ
bibechana-62465	3	49	double	double	ADJ
bibechana-62465	3	50	-	-	PUNCT
bibechana-62465	3	51	layer	layer	NOUN
bibechana-62465	3	52	capacitors	capacitor	NOUN
bibechana-62465	3	53	(	(	PUNCT
bibechana-62465	3	54	edlcs	edlcs	PROPN
bibechana-62465	3	55	)	)	PUNCT
bibechana-62465	3	56	is	be	AUX
bibechana-62465	3	57	evaluated	evaluate	VERB
bibechana-62465	3	58	by	by	ADP
bibechana-62465	3	59	the	the	DET
bibechana-62465	3	60	capacitance	capacitance	NOUN
bibechana-62465	3	61	of	of	ADP
bibechana-62465	3	62	activated	activate	VERB
bibechana-62465	3	63	carbon	carbon	NOUN
bibechana-62465	3	64	(	(	PUNCT
bibechana-62465	3	65	ac	ac	ADJ
bibechana-62465	3	66	)	)	PUNCT
bibechana-62465	3	67	electrodes	electrode	NOUN
bibechana-62465	3	68	.	.	PUNCT
bibechana-62465	4	1	the	the	DET
bibechana-62465	4	2	capacitance	capacitance	NOUN
bibechana-62465	4	3	of	of	ADP
bibechana-62465	4	4	ac	ac	PROPN
bibechana-62465	4	5	electrodes	electrode	NOUN
bibechana-62465	4	6	is	be	AUX
bibechana-62465	4	7	influenced	influence	VERB
bibechana-62465	4	8	by	by	ADP
bibechana-62465	4	9	many	many	ADJ
bibechana-62465	4	10	factors	factor	NOUN
bibechana-62465	4	11	such	such	ADJ
bibechana-62465	4	12	as	as	ADP
bibechana-62465	4	13	precursor	precursor	NOUN
bibechana-62465	4	14	type	type	NOUN
bibechana-62465	4	15	,	,	PUNCT
bibechana-62465	4	16	activation	activation	NOUN
bibechana-62465	4	17	method	method	NOUN
bibechana-62465	4	18	,	,	PUNCT
bibechana-62465	4	19	pore	pore	ADJ
bibechana-62465	4	20	structure	structure	NOUN
bibechana-62465	4	21	,	,	PUNCT
bibechana-62465	4	22	surface	surface	NOUN
bibechana-62465	4	23	chemistry	chemistry	NOUN
bibechana-62465	4	24	and	and	CCONJ
bibechana-62465	4	25	electrolytic	electrolytic	ADJ
bibechana-62465	4	26	properties	property	NOUN
bibechana-62465	4	27	.	.	PUNCT
bibechana-62465	5	1	in	in	ADP
bibechana-62465	5	2	this	this	DET
bibechana-62465	5	3	paper	paper	NOUN
bibechana-62465	5	4	,	,	PUNCT
bibechana-62465	5	5	we	we	PRON
bibechana-62465	5	6	present	present	VERB
bibechana-62465	5	7	a	a	DET
bibechana-62465	5	8	comparative	comparative	ADJ
bibechana-62465	5	9	study	study	NOUN
bibechana-62465	5	10	of	of	ADP
bibechana-62465	5	11	machine	machine	NOUN
bibechana-62465	5	12	learning	learning	NOUN
bibechana-62465	5	13	based	base	VERB
bibechana-62465	5	14	prediction	prediction	NOUN
bibechana-62465	5	15	of	of	ADP
bibechana-62465	5	16	surface	surface	NOUN
bibechana-62465	5	17	area	area	NOUN
bibechana-62465	5	18	,	,	PUNCT
bibechana-62465	5	19	mesopore	mesopore	NOUN
bibechana-62465	5	20	volume	volume	NOUN
bibechana-62465	5	21	and	and	CCONJ
bibechana-62465	5	22	total	total	ADJ
bibechana-62465	5	23	pore	pore	ADJ
bibechana-62465	5	24	volume	volume	NOUN
bibechana-62465	5	25	of	of	ADP
bibechana-62465	5	26	activated	activated	ADJ
bibechana-62465	5	27	carbon	carbon	NOUN
bibechana-62465	5	28	for	for	ADP
bibechana-62465	5	29	energy	energy	NOUN
bibechana-62465	5	30	storage	storage	NOUN
bibechana-62465	5	31	applications	application	NOUN
bibechana-62465	5	32	.	.	PUNCT
bibechana-62465	6	1	the	the	DET
bibechana-62465	6	2	ml	ml	PROPN
bibechana-62465	6	3	models	model	NOUN
bibechana-62465	6	4	were	be	AUX
bibechana-62465	6	5	trained	train	VERB
bibechana-62465	6	6	on	on	ADP
bibechana-62465	6	7	a	a	DET
bibechana-62465	6	8	dataset	dataset	NOUN
bibechana-62465	6	9	of	of	ADP
bibechana-62465	6	10	synthetic	synthetic	ADJ
bibechana-62465	6	11	data	datum	NOUN
bibechana-62465	6	12	that	that	PRON
bibechana-62465	6	13	were	be	AUX
bibechana-62465	6	14	generated	generate	VERB
bibechana-62465	6	15	from	from	ADP
bibechana-62465	6	16	the	the	DET
bibechana-62465	6	17	limited	limited	ADJ
bibechana-62465	6	18	number	number	NOUN
bibechana-62465	6	19	of	of	ADP
bibechana-62465	6	20	experimental	experimental	ADJ
bibechana-62465	6	21	data	datum	NOUN
bibechana-62465	6	22	and	and	CCONJ
bibechana-62465	6	23	which	which	PRON
bibechana-62465	6	24	included	include	VERB
bibechana-62465	6	25	the	the	DET
bibechana-62465	6	26	activation	activation	NOUN
bibechana-62465	6	27	temperature	temperature	NOUN
bibechana-62465	6	28	,	,	PUNCT
bibechana-62465	6	29	methylene	methylene	ADJ
bibechana-62465	6	30	blue	blue	ADJ
bibechana-62465	6	31	number	number	NOUN
bibechana-62465	6	32	and	and	CCONJ
bibechana-62465	6	33	iodine	iodine	NOUN
bibechana-62465	6	34	number	number	NOUN
bibechana-62465	6	35	of	of	ADP
bibechana-62465	6	36	the	the	DET
bibechana-62465	6	37	activated	activate	VERB
bibechana-62465	6	38	carbon	carbon	NOUN
bibechana-62465	6	39	(	(	PUNCT
bibechana-62465	6	40	ac	ac	PROPN
bibechana-62465	6	41	)	)	PUNCT
bibechana-62465	6	42	.	.	PUNCT
bibechana-62465	7	1	the	the	DET
bibechana-62465	7	2	best	well	ADV
bibechana-62465	7	3	performing	performing	NOUN
bibechana-62465	7	4	ml	ml	NOUN
bibechana-62465	7	5	model	model	NOUN
bibechana-62465	7	6	was	be	AUX
bibechana-62465	7	7	random	random	ADJ
bibechana-62465	7	8	forest	forest	NOUN
bibechana-62465	7	9	and	and	CCONJ
bibechana-62465	7	10	xgboost	xgboost	PROPN
bibechana-62465	7	11	model	model	PROPN
bibechana-62465	7	12	.	.	PUNCT
bibechana-62465	8	1	the	the	DET
bibechana-62465	8	2	results	result	NOUN
bibechana-62465	8	3	of	of	ADP
bibechana-62465	8	4	this	this	DET
bibechana-62465	8	5	study	study	NOUN
bibechana-62465	8	6	can	can	AUX
bibechana-62465	8	7	be	be	AUX
bibechana-62465	8	8	used	use	VERB
bibechana-62465	8	9	to	to	PART
bibechana-62465	8	10	optimize	optimize	VERB
bibechana-62465	8	11	the	the	DET
bibechana-62465	8	12	production	production	NOUN
bibechana-62465	8	13	of	of	ADP
bibechana-62465	8	14	activated	activate	VERB
bibechana-62465	8	15	carbon	carbon	NOUN
bibechana-62465	8	16	and	and	CCONJ
bibechana-62465	8	17	improve	improve	VERB
bibechana-62465	8	18	its	its	PRON
bibechana-62465	8	19	performance	performance	NOUN
bibechana-62465	8	20	in	in	ADP
bibechana-62465	8	21	energy	energy	NOUN
bibechana-62465	8	22	storage	storage	NOUN
bibechana-62465	8	23	applications	application	NOUN
bibechana-62465	8	24	.	.	PUNCT
bibechana-62465	9	1	keywords	keyword	VERB
bibechana-62465	9	2	machine	machine	NOUN
bibechana-62465	9	3	learning	learning	NOUN
bibechana-62465	9	4	;	;	PUNCT
bibechana-62465	9	5	activated	activate	VERB
bibechana-62465	9	6	carbon	carbon	NOUN
bibechana-62465	9	7	;	;	PUNCT
bibechana-62465	9	8	energy	energy	NOUN
bibechana-62465	9	9	storage	storage	NOUN
bibechana-62465	9	10	;	;	PUNCT
bibechana-62465	9	11	capacitance	capacitance	NOUN
bibechana-62465	9	12	.	.	PUNCT
bibechana-62465	10	1	article	article	NOUN
bibechana-62465	10	2	information	information	PROPN
bibechana-62465	10	3	manuscript	manuscript	PROPN
bibechana-62465	10	4	received	receive	VERB
bibechana-62465	10	5	:	:	PUNCT
bibechana-62465	10	6	january	january	PROPN
bibechana-62465	10	7	31	31	NUM
bibechana-62465	10	8	,	,	PUNCT
bibechana-62465	10	9	2024	2024	NUM
bibechana-62465	10	10	;	;	PUNCT
bibechana-62465	10	11	revised	revise	VERB
bibechana-62465	10	12	:	:	PUNCT
bibechana-62465	10	13	april	april	PROPN
bibechana-62465	10	14	18	18	NUM
bibechana-62465	10	15	,	,	PUNCT
bibechana-62465	10	16	2024	2024	NUM
bibechana-62465	10	17	;	;	PUNCT
bibechana-62465	10	18	accepted	accept	VERB
bibechana-62465	10	19	:	:	PUNCT
bibechana-62465	10	20	april	april	PROPN
bibechana-62465	10	21	23	23	NUM
bibechana-62465	10	22	,	,	PUNCT
bibechana-62465	10	23	2024	2024	NUM
bibechana-62465	10	24	doi	doi	X
bibechana-62465	10	25	https://doi.org/10.3126/bibechana.v21i2.62465	https://doi.org/10.3126/bibechana.v21i2.62465	NOUN
bibechana-62465	10	26	this	this	DET
bibechana-62465	10	27	work	work	NOUN
bibechana-62465	10	28	is	be	AUX
bibechana-62465	10	29	licensed	license	VERB
bibechana-62465	10	30	under	under	ADP
bibechana-62465	10	31	the	the	DET
bibechana-62465	10	32	creative	creative	ADJ
bibechana-62465	10	33	commons	common	NOUN
bibechana-62465	10	34	cc	cc	ADP
bibechana-62465	10	35	by	by	ADP
bibechana-62465	10	36	-	-	PUNCT
bibechana-62465	10	37	nc	nc	NOUN
bibechana-62465	10	38	license	license	NOUN
bibechana-62465	10	39	.	.	PUNCT
bibechana-62465	11	1	https://creativecommons	https://creativecommon	NOUN
bibechana-62465	11	2	.	.	PUNCT
bibechana-62465	11	3	org	org	ADJ
bibechana-62465	11	4	/	/	SYM
bibechana-62465	11	5	licenses	license	NOUN
bibechana-62465	11	6	/	/	SYM
bibechana-62465	11	7	by	by	ADP
bibechana-62465	11	8	-	-	PUNCT
bibechana-62465	11	9	nc/4.0/	nc/4.0/	NOUN
bibechana-62465	11	10	159	159	NUM
bibechana-62465	11	11	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	PROPN
bibechana-62465	11	12	chhabig123@ioe.edu.np	chhabig123@ioe.edu.np	PROPN
bibechana-62465	11	13	https://doi.org/10.3126/bibechana.v21i2.62465	https://doi.org/10.3126/bibechana.v21i2.62465	PROPN
bibechana-62465	11	14	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PROPN
bibechana-62465	11	15	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PROPN
bibechana-62465	11	16	kirti	kirti	PROPN
bibechana-62465	11	17	bir	bir	PROPN
bibechana-62465	11	18	rajguru	rajguru	PROPN
bibechana-62465	11	19	et	et	PROPN
bibechana-62465	11	20	al./	al./	ADV
bibechana-62465	11	21	bibechana	bibechana	PROPN
bibechana-62465	11	22	21	21	NUM
bibechana-62465	11	23	(	(	PUNCT
bibechana-62465	11	24	2024	2024	NUM
bibechana-62465	11	25	)	)	PUNCT
bibechana-62465	11	26	159	159	NUM
bibechana-62465	11	27	-	-	SYM
bibechana-62465	11	28	170	170	NUM
bibechana-62465	11	29	160	160	NUM
bibechana-62465	11	30	1	1	NUM
bibechana-62465	11	31	introduction	introduction	NOUN
bibechana-62465	11	32	a	a	DET
bibechana-62465	11	33	data	datum	NOUN
bibechana-62465	11	34	based	base	VERB
bibechana-62465	11	35	method	method	NOUN
bibechana-62465	11	36	called	call	VERB
bibechana-62465	11	37	the	the	DET
bibechana-62465	11	38	machine	machine	NOUN
bibechana-62465	11	39	learning	learn	VERB
bibechana-62465	11	40	algorithm	algorithm	NOUN
bibechana-62465	11	41	has	have	AUX
bibechana-62465	11	42	been	be	AUX
bibechana-62465	11	43	applied	apply	VERB
bibechana-62465	11	44	as	as	ADP
bibechana-62465	11	45	a	a	DET
bibechana-62465	11	46	substitute	substitute	NOUN
bibechana-62465	11	47	tool	tool	NOUN
bibechana-62465	11	48	to	to	PART
bibechana-62465	11	49	deal	deal	VERB
bibechana-62465	11	50	with	with	ADP
bibechana-62465	11	51	a	a	DET
bibechana-62465	11	52	number	number	NOUN
bibechana-62465	11	53	of	of	ADP
bibechana-62465	11	54	real	real	ADJ
bibechana-62465	11	55	-	-	PUNCT
bibechana-62465	11	56	world	world	NOUN
bibechana-62465	11	57	problems	problem	NOUN
bibechana-62465	11	58	.	.	PUNCT
bibechana-62465	12	1	creating	create	VERB
bibechana-62465	12	2	models	model	NOUN
bibechana-62465	12	3	and	and	CCONJ
bibechana-62465	12	4	techniques	technique	NOUN
bibechana-62465	12	5	that	that	PRON
bibechana-62465	12	6	enable	enable	VERB
bibechana-62465	12	7	computers	computer	NOUN
bibechana-62465	12	8	to	to	PART
bibechana-62465	12	9	learn	learn	VERB
bibechana-62465	12	10	from	from	ADP
bibechana-62465	12	11	data	datum	NOUN
bibechana-62465	12	12	and	and	CCONJ
bibechana-62465	12	13	make	make	VERB
bibechana-62465	12	14	predictions	prediction	NOUN
bibechana-62465	12	15	or	or	CCONJ
bibechana-62465	12	16	judgments	judgment	NOUN
bibechana-62465	12	17	without	without	ADP
bibechana-62465	12	18	being	be	AUX
bibechana-62465	12	19	explicitly	explicitly	ADV
bibechana-62465	12	20	programmed	program	VERB
bibechana-62465	12	21	is	be	AUX
bibechana-62465	12	22	a	a	DET
bibechana-62465	12	23	key	key	ADJ
bibechana-62465	12	24	component	component	NOUN
bibechana-62465	12	25	of	of	ADP
bibechana-62465	12	26	the	the	DET
bibechana-62465	12	27	artificial	artificial	ADJ
bibechana-62465	12	28	intelligence	intelligence	NOUN
bibechana-62465	12	29	field	field	NOUN
bibechana-62465	12	30	of	of	ADP
bibechana-62465	12	31	machine	machine	NOUN
bibechana-62465	12	32	learning	learn	VERB
bibechana-62465	12	33	[	[	X
bibechana-62465	12	34	1	1	NUM
bibechana-62465	12	35	,	,	PUNCT
bibechana-62465	12	36	2	2	NUM
bibechana-62465	12	37	]	]	PUNCT
bibechana-62465	12	38	.	.	PUNCT
bibechana-62465	13	1	it	it	PRON
bibechana-62465	13	2	is	be	AUX
bibechana-62465	13	3	utilized	utilize	VERB
bibechana-62465	13	4	in	in	ADP
bibechana-62465	13	5	a	a	DET
bibechana-62465	13	6	variety	variety	NOUN
bibechana-62465	13	7	of	of	ADP
bibechana-62465	13	8	programs	program	NOUN
bibechana-62465	13	9	,	,	PUNCT
bibechana-62465	13	10	including	include	VERB
bibechana-62465	13	11	recommendation	recommendation	NOUN
bibechana-62465	13	12	engines	engine	NOUN
bibechana-62465	13	13	,	,	PUNCT
bibechana-62465	13	14	natural	natural	ADJ
bibechana-62465	13	15	language	language	NOUN
bibechana-62465	13	16	processing	processing	NOUN
bibechana-62465	13	17	,	,	PUNCT
bibechana-62465	13	18	and	and	CCONJ
bibechana-62465	13	19	identifying	identify	VERB
bibechana-62465	13	20	pictures	picture	NOUN
bibechana-62465	13	21	.	.	PUNCT
bibechana-62465	14	1	there	there	PRON
bibechana-62465	14	2	are	be	VERB
bibechana-62465	14	3	various	various	ADJ
bibechana-62465	14	4	types	type	NOUN
bibechana-62465	14	5	of	of	ADP
bibechana-62465	14	6	machine	machine	NOUN
bibechana-62465	14	7	learning	learn	VERB
bibechana-62465	14	8	such	such	ADJ
bibechana-62465	14	9	as	as	ADP
bibechana-62465	14	10	unsupervised	unsupervised	ADJ
bibechana-62465	14	11	machine	machine	NOUN
bibechana-62465	14	12	learning	learning	NOUN
bibechana-62465	14	13	and	and	CCONJ
bibechana-62465	14	14	supervised	supervise	VERB
bibechana-62465	14	15	machine	machine	NOUN
bibechana-62465	14	16	learning	learning	NOUN
bibechana-62465	14	17	.	.	PUNCT
bibechana-62465	15	1	in	in	ADP
bibechana-62465	15	2	supervised	supervised	ADJ
bibechana-62465	15	3	machine	machine	NOUN
bibechana-62465	15	4	learning	learning	NOUN
bibechana-62465	15	5	,	,	PUNCT
bibechana-62465	15	6	the	the	DET
bibechana-62465	15	7	algorithm	algorithm	NOUN
bibechana-62465	15	8	develops	develop	VERB
bibechana-62465	15	9	predictions	prediction	NOUN
bibechana-62465	15	10	or	or	CCONJ
bibechana-62465	15	11	classifications	classification	NOUN
bibechana-62465	15	12	based	base	VERB
bibechana-62465	15	13	on	on	ADP
bibechana-62465	15	14	input	input	NOUN
bibechana-62465	15	15	data	datum	NOUN
bibechana-62465	15	16	after	after	ADP
bibechana-62465	15	17	learning	learn	VERB
bibechana-62465	15	18	from	from	ADP
bibechana-62465	15	19	labeled	label	VERB
bibechana-62465	15	20	training	training	NOUN
bibechana-62465	15	21	data	datum	NOUN
bibechana-62465	15	22	.	.	PUNCT
bibechana-62465	16	1	unsupervised	unsupervised	ADJ
bibechana-62465	16	2	machine	machine	NOUN
bibechana-62465	16	3	learning	learning	NOUN
bibechana-62465	16	4	uses	use	VERB
bibechana-62465	16	5	an	an	DET
bibechana-62465	16	6	unlabeled	unlabele	VERB
bibechana-62465	16	7	data	data	NOUN
bibechana-62465	16	8	collection	collection	NOUN
bibechana-62465	16	9	as	as	ADP
bibechana-62465	16	10	its	its	PRON
bibechana-62465	16	11	foundation	foundation	NOUN
bibechana-62465	16	12	[	[	X
bibechana-62465	16	13	3	3	NUM
bibechana-62465	16	14	]	]	PUNCT
bibechana-62465	16	15	.	.	PUNCT
bibechana-62465	17	1	supercapacitors	supercapacitor	NOUN
bibechana-62465	17	2	,	,	PUNCT
bibechana-62465	17	3	also	also	ADV
bibechana-62465	17	4	known	know	VERB
bibechana-62465	17	5	as	as	ADP
bibechana-62465	17	6	electrochemical	electrochemical	ADJ
bibechana-62465	17	7	capacitors	capacitor	NOUN
bibechana-62465	17	8	,	,	PUNCT
bibechana-62465	17	9	are	be	AUX
bibechana-62465	17	10	an	an	DET
bibechana-62465	17	11	intermediate	intermediate	ADJ
bibechana-62465	17	12	form	form	NOUN
bibechana-62465	17	13	of	of	ADP
bibechana-62465	17	14	energy	energy	NOUN
bibechana-62465	17	15	storage	storage	NOUN
bibechana-62465	17	16	between	between	ADP
bibechana-62465	17	17	batteries	battery	NOUN
bibechana-62465	17	18	and	and	CCONJ
bibechana-62465	17	19	ordinary	ordinary	ADJ
bibechana-62465	17	20	capacitors	capacitor	NOUN
bibechana-62465	17	21	.	.	PUNCT
bibechana-62465	18	1	supercapacitors	supercapacitor	NOUN
bibechana-62465	18	2	can	can	AUX
bibechana-62465	18	3	store	store	VERB
bibechana-62465	18	4	more	more	ADJ
bibechana-62465	18	5	energy	energy	NOUN
bibechana-62465	18	6	than	than	ADP
bibechana-62465	18	7	regular	regular	ADJ
bibechana-62465	18	8	capacitors	capacitor	NOUN
bibechana-62465	18	9	due	due	ADP
bibechana-62465	18	10	to	to	ADP
bibechana-62465	18	11	their	their	PRON
bibechana-62465	18	12	substantially	substantially	ADV
bibechana-62465	18	13	higher	high	ADJ
bibechana-62465	18	14	energy	energy	NOUN
bibechana-62465	18	15	density	density	NOUN
bibechana-62465	18	16	.	.	PUNCT
bibechana-62465	19	1	supercapacitors	supercapacitor	NOUN
bibechana-62465	19	2	have	have	AUX
bibechana-62465	19	3	received	receive	VERB
bibechana-62465	19	4	a	a	DET
bibechana-62465	19	5	lot	lot	NOUN
bibechana-62465	19	6	of	of	ADP
bibechana-62465	19	7	interest	interest	NOUN
bibechana-62465	19	8	recently	recently	ADV
bibechana-62465	19	9	,	,	PUNCT
bibechana-62465	19	10	due	due	ADP
bibechana-62465	19	11	to	to	ADP
bibechana-62465	19	12	its	its	PRON
bibechana-62465	19	13	potential	potential	ADJ
bibechana-62465	19	14	applications	application	NOUN
bibechana-62465	19	15	in	in	ADP
bibechana-62465	19	16	a	a	DET
bibechana-62465	19	17	wide	wide	ADJ
bibechana-62465	19	18	range	range	NOUN
bibechana-62465	19	19	of	of	ADP
bibechana-62465	19	20	fields	field	NOUN
bibechana-62465	19	21	,	,	PUNCT
bibechana-62465	19	22	such	such	ADJ
bibechana-62465	19	23	as	as	ADP
bibechana-62465	19	24	consumer	consumer	NOUN
bibechana-62465	19	25	electronics	electronic	NOUN
bibechana-62465	19	26	and	and	CCONJ
bibechana-62465	19	27	renewable	renewable	ADJ
bibechana-62465	19	28	energy	energy	NOUN
bibechana-62465	19	29	systems	system	NOUN
bibechana-62465	19	30	.	.	PUNCT
bibechana-62465	20	1	whereas	whereas	SCONJ
bibechana-62465	20	2	batteries	battery	NOUN
bibechana-62465	20	3	,	,	PUNCT
bibechana-62465	20	4	store	store	VERB
bibechana-62465	20	5	energy	energy	NOUN
bibechana-62465	20	6	chemically	chemically	ADV
bibechana-62465	20	7	,	,	PUNCT
bibechana-62465	20	8	supercapacitors	supercapacitor	NOUN
bibechana-62465	20	9	do	do	VERB
bibechana-62465	20	10	so	so	ADV
bibechana-62465	20	11	electrostatically	electrostatically	ADV
bibechana-62465	21	1	[	[	X
bibechana-62465	21	2	4	4	NUM
bibechana-62465	21	3	,	,	PUNCT
bibechana-62465	21	4	5	5	NUM
bibechana-62465	21	5	]	]	PUNCT
bibechana-62465	21	6	.	.	PUNCT
bibechana-62465	22	1	supercapacitors	supercapacitor	NOUN
bibechana-62465	22	2	rely	rely	VERB
bibechana-62465	22	3	on	on	ADP
bibechana-62465	22	4	the	the	DET
bibechana-62465	22	5	rapid	rapid	ADJ
bibechana-62465	22	6	movement	movement	NOUN
bibechana-62465	22	7	of	of	ADP
bibechana-62465	22	8	ions	ion	NOUN
bibechana-62465	22	9	to	to	PART
bibechana-62465	22	10	store	store	VERB
bibechana-62465	22	11	and	and	CCONJ
bibechana-62465	22	12	release	release	VERB
bibechana-62465	22	13	energy	energy	NOUN
bibechana-62465	22	14	quickly	quickly	ADV
bibechana-62465	22	15	.	.	PUNCT
bibechana-62465	23	1	larger	large	ADJ
bibechana-62465	23	2	surface	surface	NOUN
bibechana-62465	23	3	area	area	NOUN
bibechana-62465	23	4	and	and	CCONJ
bibechana-62465	23	5	appropriate	appropriate	ADJ
bibechana-62465	23	6	pore	pore	ADJ
bibechana-62465	23	7	volumes	volume	NOUN
bibechana-62465	23	8	enhance	enhance	VERB
bibechana-62465	23	9	the	the	DET
bibechana-62465	23	10	device	device	NOUN
bibechana-62465	23	11	’s	’s	PART
bibechana-62465	23	12	energy	energy	NOUN
bibechana-62465	23	13	and	and	CCONJ
bibechana-62465	23	14	power	power	NOUN
bibechana-62465	23	15	density	density	NOUN
bibechana-62465	23	16	.	.	PUNCT
bibechana-62465	24	1	optimizing	optimize	VERB
bibechana-62465	24	2	these	these	DET
bibechana-62465	24	3	parameters	parameter	NOUN
bibechana-62465	24	4	help	help	VERB
bibechana-62465	24	5	in	in	ADP
bibechana-62465	24	6	designing	design	VERB
bibechana-62465	24	7	energy	energy	NOUN
bibechana-62465	24	8	storage	storage	NOUN
bibechana-62465	24	9	materials	material	NOUN
bibechana-62465	24	10	that	that	PRON
bibechana-62465	24	11	can	can	AUX
bibechana-62465	24	12	store	store	VERB
bibechana-62465	24	13	more	more	ADJ
bibechana-62465	24	14	energy	energy	NOUN
bibechana-62465	24	15	,	,	PUNCT
bibechana-62465	24	16	charge	charge	NOUN
bibechana-62465	24	17	and	and	CCONJ
bibechana-62465	24	18	discharge	discharge	VERB
bibechana-62465	24	19	faster	fast	ADV
bibechana-62465	24	20	,	,	PUNCT
bibechana-62465	24	21	and	and	CCONJ
bibechana-62465	24	22	has	have	AUX
bibechana-62465	24	23	improved	improve	VERB
bibechana-62465	24	24	overall	overall	ADJ
bibechana-62465	24	25	performance	performance	NOUN
bibechana-62465	24	26	and	and	CCONJ
bibechana-62465	24	27	durability	durability	NOUN
bibechana-62465	24	28	in	in	ADP
bibechana-62465	24	29	various	various	ADJ
bibechana-62465	24	30	applications	application	NOUN
bibechana-62465	25	1	[	[	X
bibechana-62465	25	2	6–9	6–9	NOUN
bibechana-62465	25	3	]	]	PUNCT
bibechana-62465	25	4	.	.	PUNCT
bibechana-62465	26	1	fossil	fossil	ADJ
bibechana-62465	26	2	fuels	fuel	NOUN
bibechana-62465	26	3	can	can	AUX
bibechana-62465	26	4	lead	lead	VERB
bibechana-62465	26	5	to	to	ADP
bibechana-62465	26	6	energy	energy	NOUN
bibechana-62465	26	7	crisis	crisis	NOUN
bibechana-62465	26	8	due	due	ADP
bibechana-62465	26	9	to	to	ADP
bibechana-62465	26	10	their	their	PRON
bibechana-62465	26	11	finite	finite	ADJ
bibechana-62465	26	12	supply	supply	NOUN
bibechana-62465	26	13	and	and	CCONJ
bibechana-62465	26	14	environmental	environmental	ADJ
bibechana-62465	26	15	impact	impact	NOUN
bibechana-62465	26	16	.	.	PUNCT
bibechana-62465	27	1	transitioning	transition	VERB
bibechana-62465	27	2	to	to	PART
bibechana-62465	27	3	renewable	renewable	VERB
bibechana-62465	27	4	energy	energy	NOUN
bibechana-62465	27	5	source	source	NOUN
bibechana-62465	27	6	is	be	AUX
bibechana-62465	27	7	essential	essential	ADJ
bibechana-62465	27	8	to	to	PART
bibechana-62465	27	9	mitigate	mitigate	VERB
bibechana-62465	27	10	these	these	DET
bibechana-62465	27	11	issues	issue	NOUN
bibechana-62465	27	12	.	.	PUNCT
bibechana-62465	28	1	activated	activate	VERB
bibechana-62465	28	2	carbon	carbon	NOUN
bibechana-62465	28	3	is	be	AUX
bibechana-62465	28	4	highly	highly	ADV
bibechana-62465	28	5	porous	porous	ADJ
bibechana-62465	28	6	form	form	NOUN
bibechana-62465	28	7	of	of	ADP
bibechana-62465	28	8	carbon	carbon	NOUN
bibechana-62465	28	9	with	with	ADP
bibechana-62465	28	10	a	a	DET
bibechana-62465	28	11	large	large	ADJ
bibechana-62465	28	12	surface	surface	NOUN
bibechana-62465	28	13	area	area	NOUN
bibechana-62465	28	14	.	.	PUNCT
bibechana-62465	29	1	activated	activate	VERB
bibechana-62465	29	2	carbon	carbon	NOUN
bibechana-62465	29	3	(	(	PUNCT
bibechana-62465	29	4	ac	ac	PROPN
bibechana-62465	29	5	)	)	PUNCT
bibechana-62465	29	6	is	be	AUX
bibechana-62465	29	7	prepared	prepare	VERB
bibechana-62465	29	8	from	from	ADP
bibechana-62465	29	9	various	various	ADJ
bibechana-62465	29	10	carbonaceous	carbonaceous	ADJ
bibechana-62465	29	11	material	material	NOUN
bibechana-62465	29	12	such	such	ADJ
bibechana-62465	29	13	as	as	ADP
bibechana-62465	29	14	peat	peat	NOUN
bibechana-62465	29	15	,	,	PUNCT
bibechana-62465	29	16	wood	wood	NOUN
bibechana-62465	29	17	,	,	PUNCT
bibechana-62465	29	18	etc	etc	X
bibechana-62465	29	19	.	.	X
bibechana-62465	29	20	in	in	ADP
bibechana-62465	29	21	this	this	DET
bibechana-62465	29	22	study	study	NOUN
bibechana-62465	29	23	,	,	PUNCT
bibechana-62465	29	24	the	the	DET
bibechana-62465	29	25	methylene	methylene	ADJ
bibechana-62465	29	26	blue	blue	ADJ
bibechana-62465	29	27	number	number	NOUN
bibechana-62465	29	28	(	(	PUNCT
bibechana-62465	29	29	mbn	mbn	NOUN
bibechana-62465	29	30	)	)	PUNCT
bibechana-62465	29	31	,	,	PUNCT
bibechana-62465	29	32	iodine	iodine	NOUN
bibechana-62465	29	33	number	number	NOUN
bibechana-62465	29	34	and	and	CCONJ
bibechana-62465	29	35	temperature	temperature	NOUN
bibechana-62465	29	36	were	be	AUX
bibechana-62465	29	37	utilized	utilize	VERB
bibechana-62465	29	38	to	to	PART
bibechana-62465	29	39	predict	predict	VERB
bibechana-62465	29	40	the	the	DET
bibechana-62465	29	41	surface	surface	NOUN
bibechana-62465	29	42	area	area	NOUN
bibechana-62465	29	43	,	,	PUNCT
bibechana-62465	29	44	mesopore	mesopore	NOUN
bibechana-62465	29	45	volume	volume	NOUN
bibechana-62465	29	46	,	,	PUNCT
bibechana-62465	29	47	and	and	CCONJ
bibechana-62465	29	48	total	total	ADJ
bibechana-62465	29	49	pore	pore	ADJ
bibechana-62465	29	50	volume	volume	NOUN
bibechana-62465	29	51	of	of	ADP
bibechana-62465	29	52	produced	produce	VERB
bibechana-62465	29	53	activated	activate	VERB
bibechana-62465	29	54	carbon	carbon	NOUN
bibechana-62465	29	55	by	by	ADP
bibechana-62465	29	56	using	use	VERB
bibechana-62465	29	57	machine	machine	NOUN
bibechana-62465	29	58	learning	learn	VERB
bibechana-62465	29	59	algorithm	algorithm	NOUN
bibechana-62465	30	1	[	[	X
bibechana-62465	30	2	10	10	NUM
bibechana-62465	30	3	,	,	PUNCT
bibechana-62465	30	4	11	11	NUM
bibechana-62465	30	5	]	]	PUNCT
bibechana-62465	30	6	.	.	PUNCT
bibechana-62465	31	1	a	a	DET
bibechana-62465	31	2	larger	large	ADJ
bibechana-62465	31	3	surface	surface	NOUN
bibechana-62465	31	4	enhances	enhance	VERB
bibechana-62465	31	5	the	the	DET
bibechana-62465	31	6	size	size	NOUN
bibechana-62465	31	7	of	of	ADP
bibechana-62465	31	8	room	room	NOUN
bibechana-62465	31	9	for	for	ADP
bibechana-62465	31	10	interaction	interaction	NOUN
bibechana-62465	31	11	between	between	ADP
bibechana-62465	31	12	the	the	DET
bibechana-62465	31	13	electrolyte	electrolyte	NOUN
bibechana-62465	31	14	and	and	CCONJ
bibechana-62465	31	15	electrode	electrode	NOUN
bibechana-62465	31	16	material	material	NOUN
bibechana-62465	31	17	.	.	PUNCT
bibechana-62465	32	1	more	more	ADV
bibechana-62465	32	2	active	active	ADJ
bibechana-62465	32	3	places	place	NOUN
bibechana-62465	32	4	for	for	ADP
bibechana-62465	32	5	electrochemical	electrochemical	ADJ
bibechana-62465	32	6	processes	process	NOUN
bibechana-62465	32	7	to	to	PART
bibechana-62465	32	8	take	take	VERB
bibechana-62465	32	9	place	place	NOUN
bibechana-62465	32	10	can	can	AUX
bibechana-62465	32	11	be	be	AUX
bibechana-62465	32	12	made	make	VERB
bibechana-62465	32	13	possible	possible	ADJ
bibechana-62465	32	14	by	by	ADP
bibechana-62465	32	15	this	this	PRON
bibechana-62465	32	16	,	,	PUNCT
bibechana-62465	32	17	increasing	increase	VERB
bibechana-62465	32	18	the	the	DET
bibechana-62465	32	19	amount	amount	NOUN
bibechana-62465	32	20	of	of	ADP
bibechana-62465	32	21	energy	energy	NOUN
bibechana-62465	32	22	stored	store	VERB
bibechana-62465	32	23	and	and	CCONJ
bibechana-62465	32	24	accelerating	accelerate	VERB
bibechana-62465	32	25	the	the	DET
bibechana-62465	32	26	rate	rate	NOUN
bibechana-62465	32	27	of	of	ADP
bibechana-62465	32	28	charge	charge	NOUN
bibechana-62465	32	29	/	/	SYM
bibechana-62465	32	30	discharge	discharge	NOUN
bibechana-62465	32	31	.	.	PUNCT
bibechana-62465	33	1	larger	large	ADJ
bibechana-62465	33	2	pores	pore	NOUN
bibechana-62465	33	3	called	call	VERB
bibechana-62465	33	4	mesopores	mesopore	NOUN
bibechana-62465	33	5	allow	allow	VERB
bibechana-62465	33	6	ions	ion	NOUN
bibechana-62465	33	7	to	to	PART
bibechana-62465	33	8	pass	pass	VERB
bibechana-62465	33	9	through	through	ADP
bibechana-62465	33	10	them	they	PRON
bibechana-62465	33	11	and	and	CCONJ
bibechana-62465	33	12	enter	enter	VERB
bibechana-62465	33	13	and	and	CCONJ
bibechana-62465	33	14	exit	exit	VERB
bibechana-62465	33	15	the	the	DET
bibechana-62465	33	16	material	material	NOUN
bibechana-62465	33	17	[	[	X
bibechana-62465	33	18	12	12	NUM
bibechana-62465	33	19	]	]	PUNCT
bibechana-62465	33	20	.	.	PUNCT
bibechana-62465	34	1	a	a	DET
bibechana-62465	34	2	higher	high	ADJ
bibechana-62465	34	3	mesopore	mesopore	NOUN
bibechana-62465	34	4	volume	volume	NOUN
bibechana-62465	34	5	ensures	ensure	VERB
bibechana-62465	34	6	better	well	ADJ
bibechana-62465	34	7	ion	ion	NOUN
bibechana-62465	34	8	accessibility	accessibility	NOUN
bibechana-62465	34	9	and	and	CCONJ
bibechana-62465	34	10	diffusion	diffusion	NOUN
bibechana-62465	34	11	within	within	ADP
bibechana-62465	34	12	the	the	DET
bibechana-62465	34	13	material	material	NOUN
bibechana-62465	34	14	,	,	PUNCT
bibechana-62465	34	15	which	which	PRON
bibechana-62465	34	16	improves	improve	VERB
bibechana-62465	34	17	the	the	DET
bibechana-62465	34	18	overall	overall	ADJ
bibechana-62465	34	19	charge	charge	NOUN
bibechana-62465	34	20	/	/	SYM
bibechana-62465	34	21	discharge	discharge	NOUN
bibechana-62465	34	22	efficiency	efficiency	NOUN
bibechana-62465	34	23	and	and	CCONJ
bibechana-62465	34	24	,	,	PUNCT
bibechana-62465	34	25	the	the	DET
bibechana-62465	34	26	device	device	NOUN
bibechana-62465	34	27	’s	’s	PART
bibechana-62465	34	28	power	power	NOUN
bibechana-62465	34	29	performance	performance	NOUN
bibechana-62465	34	30	.	.	PUNCT
bibechana-62465	35	1	total	total	ADJ
bibechana-62465	35	2	pore	pore	ADJ
bibechana-62465	35	3	volume	volume	NOUN
bibechana-62465	35	4	includes	include	VERB
bibechana-62465	35	5	all	all	DET
bibechana-62465	35	6	sizes	size	NOUN
bibechana-62465	35	7	of	of	ADP
bibechana-62465	35	8	pores	pore	NOUN
bibechana-62465	35	9	,	,	PUNCT
bibechana-62465	35	10	from	from	ADP
bibechana-62465	35	11	microspores	microspore	NOUN
bibechana-62465	35	12	to	to	ADP
bibechana-62465	35	13	mesopores	mesopore	NOUN
bibechana-62465	35	14	.	.	PUNCT
bibechana-62465	36	1	it	it	PRON
bibechana-62465	36	2	is	be	AUX
bibechana-62465	36	3	a	a	DET
bibechana-62465	36	4	measure	measure	NOUN
bibechana-62465	36	5	of	of	ADP
bibechana-62465	36	6	the	the	DET
bibechana-62465	36	7	overall	overall	ADJ
bibechana-62465	36	8	storage	storage	NOUN
bibechana-62465	36	9	capacity	capacity	NOUN
bibechana-62465	36	10	for	for	ADP
bibechana-62465	36	11	ions	ion	NOUN
bibechana-62465	36	12	[	[	X
bibechana-62465	36	13	13	13	NUM
bibechana-62465	36	14	,	,	PUNCT
bibechana-62465	36	15	14	14	NUM
bibechana-62465	36	16	]	]	PUNCT
bibechana-62465	36	17	.	.	PUNCT
bibechana-62465	37	1	this	this	DET
bibechana-62465	37	2	research	research	NOUN
bibechana-62465	37	3	employs	employ	VERB
bibechana-62465	37	4	statistical	statistical	ADJ
bibechana-62465	37	5	and	and	CCONJ
bibechana-62465	37	6	experimental	experimental	ADJ
bibechana-62465	37	7	data	datum	NOUN
bibechana-62465	37	8	,	,	PUNCT
bibechana-62465	37	9	to	to	PART
bibechana-62465	37	10	assess	assess	VERB
bibechana-62465	37	11	the	the	DET
bibechana-62465	37	12	most	most	ADV
bibechana-62465	37	13	suitable	suitable	ADJ
bibechana-62465	37	14	model	model	NOUN
bibechana-62465	37	15	for	for	ADP
bibechana-62465	37	16	the	the	DET
bibechana-62465	37	17	prediction	prediction	NOUN
bibechana-62465	37	18	of	of	ADP
bibechana-62465	37	19	more	more	ADV
bibechana-62465	37	20	accurate	accurate	ADJ
bibechana-62465	37	21	dataset	dataset	NOUN
bibechana-62465	37	22	.	.	PUNCT
bibechana-62465	38	1	the	the	DET
bibechana-62465	38	2	aspiration	aspiration	NOUN
bibechana-62465	38	3	is	be	AUX
bibechana-62465	38	4	to	to	PART
bibechana-62465	38	5	employ	employ	VERB
bibechana-62465	38	6	machine	machine	NOUN
bibechana-62465	38	7	learning	learn	VERB
bibechana-62465	38	8	techniques	technique	NOUN
bibechana-62465	38	9	which	which	PRON
bibechana-62465	38	10	enhance	enhance	VERB
bibechana-62465	38	11	comprehension	comprehension	NOUN
bibechana-62465	38	12	of	of	ADP
bibechana-62465	38	13	the	the	DET
bibechana-62465	38	14	interplay	interplay	NOUN
bibechana-62465	38	15	between	between	ADP
bibechana-62465	38	16	different	different	ADJ
bibechana-62465	38	17	aspects	aspect	NOUN
bibechana-62465	38	18	of	of	ADP
bibechana-62465	38	19	activated	activate	VERB
bibechana-62465	38	20	carbon	carbon	NOUN
bibechana-62465	38	21	and	and	CCONJ
bibechana-62465	38	22	surface	surface	NOUN
bibechana-62465	38	23	area	area	NOUN
bibechana-62465	38	24	,	,	PUNCT
bibechana-62465	38	25	mesopore	mesopore	NOUN
bibechana-62465	38	26	volume	volume	NOUN
bibechana-62465	38	27	and	and	CCONJ
bibechana-62465	38	28	total	total	ADJ
bibechana-62465	38	29	pore	pore	ADJ
bibechana-62465	38	30	volume	volume	NOUN
bibechana-62465	38	31	.	.	PUNCT
bibechana-62465	39	1	this	this	PRON
bibechana-62465	39	2	,	,	PUNCT
bibechana-62465	39	3	in	in	ADP
bibechana-62465	39	4	turn	turn	NOUN
bibechana-62465	39	5	,	,	PUNCT
bibechana-62465	39	6	will	will	AUX
bibechana-62465	39	7	streamline	streamline	VERB
bibechana-62465	39	8	and	and	CCONJ
bibechana-62465	39	9	enhance	enhance	VERB
bibechana-62465	39	10	the	the	DET
bibechana-62465	39	11	precision	precision	NOUN
bibechana-62465	39	12	of	of	ADP
bibechana-62465	39	13	experimental	experimental	ADJ
bibechana-62465	39	14	guidance	guidance	NOUN
bibechana-62465	39	15	for	for	ADP
bibechana-62465	39	16	future	future	ADJ
bibechana-62465	39	17	experiments	experiment	NOUN
bibechana-62465	39	18	[	[	X
bibechana-62465	39	19	15,16	15,16	NUM
bibechana-62465	39	20	]	]	PUNCT
bibechana-62465	39	21	.	.	PUNCT
bibechana-62465	40	1	1.1	1.1	NUM
bibechana-62465	40	2	machine	machine	NOUN
bibechana-62465	40	3	learning	learning	NOUN
bibechana-62465	40	4	models	model	NOUN
bibechana-62465	40	5	there	there	PRON
bibechana-62465	40	6	are	be	VERB
bibechana-62465	40	7	different	different	ADJ
bibechana-62465	40	8	types	type	NOUN
bibechana-62465	40	9	of	of	ADP
bibechana-62465	40	10	machine	machine	NOUN
bibechana-62465	40	11	learning	learning	NOUN
bibechana-62465	40	12	models	model	NOUN
bibechana-62465	40	13	that	that	PRON
bibechana-62465	40	14	can	can	AUX
bibechana-62465	40	15	be	be	AUX
bibechana-62465	40	16	used	use	VERB
bibechana-62465	40	17	to	to	PART
bibechana-62465	40	18	predict	predict	VERB
bibechana-62465	40	19	the	the	DET
bibechana-62465	40	20	electrochemical	electrochemical	ADJ
bibechana-62465	40	21	properties	property	NOUN
bibechana-62465	40	22	of	of	ADP
bibechana-62465	40	23	activated	activate	VERB
bibechana-62465	40	24	carbon	carbon	NOUN
bibechana-62465	40	25	and	and	CCONJ
bibechana-62465	40	26	its	its	PRON
bibechana-62465	40	27	features	feature	NOUN
bibechana-62465	40	28	,	,	PUNCT
bibechana-62465	40	29	as	as	SCONJ
bibechana-62465	40	30	they	they	PRON
bibechana-62465	40	31	can	can	AUX
bibechana-62465	40	32	capture	capture	VERB
bibechana-62465	40	33	the	the	DET
bibechana-62465	40	34	non	non	NOUN
bibechana-62465	40	35	-	-	NOUN
bibechana-62465	40	36	linearity	linearity	NOUN
bibechana-62465	40	37	in	in	ADP
bibechana-62465	40	38	the	the	DET
bibechana-62465	40	39	data	datum	NOUN
bibechana-62465	40	40	.	.	PUNCT
bibechana-62465	41	1	among	among	ADP
bibechana-62465	41	2	all	all	DET
bibechana-62465	41	3	these	these	DET
bibechana-62465	41	4	models	model	NOUN
bibechana-62465	41	5	,	,	PUNCT
bibechana-62465	41	6	we	we	PRON
bibechana-62465	41	7	selected	select	VERB
bibechana-62465	41	8	those	those	PRON
bibechana-62465	41	9	that	that	PRON
bibechana-62465	41	10	were	be	AUX
bibechana-62465	41	11	most	most	ADV
bibechana-62465	41	12	suitable	suitable	ADJ
bibechana-62465	41	13	for	for	ADP
bibechana-62465	41	14	our	our	PRON
bibechana-62465	41	15	data	datum	NOUN
bibechana-62465	41	16	type	type	NOUN
bibechana-62465	41	17	so	so	SCONJ
bibechana-62465	41	18	that	that	SCONJ
bibechana-62465	41	19	we	we	PRON
bibechana-62465	41	20	can	can	AUX
bibechana-62465	41	21	predict	predict	VERB
bibechana-62465	41	22	the	the	DET
bibechana-62465	41	23	electrochemical	electrochemical	ADJ
bibechana-62465	41	24	features	feature	NOUN
bibechana-62465	41	25	of	of	ADP
bibechana-62465	41	26	the	the	DET
bibechana-62465	41	27	ac	ac	PROPN
bibechana-62465	41	28	with	with	ADP
bibechana-62465	41	29	high	high	ADJ
bibechana-62465	41	30	degree	degree	NOUN
bibechana-62465	41	31	of	of	ADP
bibechana-62465	41	32	accuracy	accuracy	NOUN
bibechana-62465	41	33	.	.	PUNCT
bibechana-62465	42	1	various	various	ADJ
bibechana-62465	42	2	studies	study	NOUN
bibechana-62465	42	3	like	like	ADP
bibechana-62465	42	4	that	that	PRON
bibechana-62465	42	5	of	of	ADP
bibechana-62465	42	6	ziang	ziang	PROPN
bibechana-62465	42	7	,	,	PUNCT
bibechana-62465	42	8	su	su	PROPN
bibechana-62465	42	9	,	,	PUNCT
bibechana-62465	42	10	wang	wang	PROPN
bibechana-62465	42	11	,	,	PUNCT
bibechana-62465	42	12	donthula	donthula	PROPN
bibechana-62465	42	13	has	have	AUX
bibechana-62465	42	14	been	be	AUX
bibechana-62465	42	15	done	do	VERB
bibechana-62465	42	16	in	in	ADP
bibechana-62465	42	17	the	the	DET
bibechana-62465	42	18	use	use	NOUN
bibechana-62465	42	19	of	of	ADP
bibechana-62465	42	20	machine	machine	NOUN
bibechana-62465	42	21	learning	learn	VERB
bibechana-62465	42	22	for	for	ADP
bibechana-62465	42	23	prediction	prediction	NOUN
bibechana-62465	42	24	of	of	ADP
bibechana-62465	42	25	different	different	ADJ
bibechana-62465	42	26	types	type	NOUN
bibechana-62465	42	27	of	of	ADP
bibechana-62465	42	28	properties	property	NOUN
bibechana-62465	42	29	of	of	ADP
bibechana-62465	42	30	activated	activate	VERB
bibechana-62465	42	31	carbon	carbon	NOUN
bibechana-62465	42	32	[	[	X
bibechana-62465	42	33	17	17	NUM
bibechana-62465	42	34	]	]	SYM
bibechana-62465	42	35	.	.	PUNCT
bibechana-62465	43	1	2	2	NUM
bibechana-62465	43	2	materials	material	NOUN
bibechana-62465	43	3	and	and	CCONJ
bibechana-62465	43	4	methods	method	NOUN
bibechana-62465	43	5	2.1	2.1	NUM
bibechana-62465	43	6	experimental	experimental	ADJ
bibechana-62465	43	7	terminalia	terminalia	PROPN
bibechana-62465	43	8	chebula	chebula	PROPN
bibechana-62465	43	9	seed	seed	NOUN
bibechana-62465	43	10	stones	stone	NOUN
bibechana-62465	43	11	were	be	AUX
bibechana-62465	43	12	used	use	VERB
bibechana-62465	43	13	for	for	ADP
bibechana-62465	43	14	the	the	DET
bibechana-62465	43	15	preparation	preparation	NOUN
bibechana-62465	43	16	of	of	ADP
bibechana-62465	43	17	activated	activate	VERB
bibechana-62465	43	18	carbon(ac	carbon(ac	NOUN
bibechana-62465	43	19	)	)	PUNCT
bibechana-62465	43	20	.	.	PUNCT
bibechana-62465	44	1	terminalia	terminalia	PROPN
bibechana-62465	44	2	seeds	seed	NOUN
bibechana-62465	44	3	were	be	AUX
bibechana-62465	44	4	collected	collect	VERB
bibechana-62465	44	5	from	from	ADP
bibechana-62465	44	6	the	the	DET
bibechana-62465	44	7	market	market	NOUN
bibechana-62465	44	8	and	and	CCONJ
bibechana-62465	44	9	cleaned	clean	VERB
bibechana-62465	44	10	to	to	PART
bibechana-62465	44	11	remove	remove	VERB
bibechana-62465	44	12	any	any	DET
bibechana-62465	44	13	impurities	impurity	NOUN
bibechana-62465	44	14	.	.	PUNCT
bibechana-62465	45	1	phosphoric	phosphoric	ADJ
bibechana-62465	45	2	acid	acid	NOUN
bibechana-62465	45	3	was	be	AUX
bibechana-62465	45	4	used	use	VERB
bibechana-62465	45	5	as	as	ADP
bibechana-62465	45	6	an	an	DET
bibechana-62465	45	7	activating	activating	ADJ
bibechana-62465	45	8	agent	agent	NOUN
bibechana-62465	45	9	.	.	PUNCT
bibechana-62465	46	1	terminalia	terminalia	PROPN
bibechana-62465	46	2	seeds	seed	NOUN
bibechana-62465	46	3	powder	powder	NOUN
bibechana-62465	46	4	was	be	AUX
bibechana-62465	46	5	mixed	mix	VERB
bibechana-62465	46	6	in	in	ADP
bibechana-62465	46	7	a	a	DET
bibechana-62465	46	8	phosphoric	phosphoric	ADJ
bibechana-62465	46	9	acid	acid	NOUN
bibechana-62465	46	10	solution	solution	NOUN
bibechana-62465	46	11	.	.	PUNCT
bibechana-62465	47	1	the	the	DET
bibechana-62465	47	2	impregnation	impregnation	NOUN
bibechana-62465	47	3	process	process	NOUN
bibechana-62465	47	4	ensured	ensure	VERB
bibechana-62465	47	5	that	that	SCONJ
bibechana-62465	47	6	the	the	DET
bibechana-62465	47	7	seeds	seed	NOUN
bibechana-62465	47	8	powder	powder	NOUN
bibechana-62465	47	9	absorbed	absorb	VERB
bibechana-62465	47	10	the	the	DET
bibechana-62465	47	11	acid	acid	NOUN
bibechana-62465	47	12	solution	solution	NOUN
bibechana-62465	47	13	uniformly	uniformly	ADV
bibechana-62465	47	14	.	.	PUNCT
bibechana-62465	48	1	the	the	DET
bibechana-62465	48	2	impregnated	impregnated	ADJ
bibechana-62465	48	3	powder	powder	NOUN
bibechana-62465	48	4	was	be	AUX
bibechana-62465	48	5	subjected	subject	VERB
bibechana-62465	48	6	to	to	ADP
bibechana-62465	48	7	tubular	tubular	ADJ
bibechana-62465	48	8	furnace	furnace	NOUN
bibechana-62465	48	9	,	,	PUNCT
bibechana-62465	48	10	typically	typically	ADV
bibechana-62465	48	11	in	in	ADP
bibechana-62465	48	12	the	the	DET
bibechana-62465	48	13	range	range	NOUN
bibechana-62465	48	14	of	of	ADP
bibechana-62465	48	15	400	400	NUM
bibechana-62465	48	16	°	°	NOUN
bibechana-62465	48	17	c700	c700	NOUN
bibechana-62465	48	18	°	°	NOUN
bibechana-62465	48	19	c	c	NOUN
bibechana-62465	48	20	.	.	PUNCT
bibechana-62465	49	1	it	it	PRON
bibechana-62465	49	2	helped	help	VERB
bibechana-62465	49	3	in	in	ADP
bibechana-62465	49	4	the	the	DET
bibechana-62465	49	5	formation	formation	NOUN
bibechana-62465	49	6	of	of	ADP
bibechana-62465	49	7	development	development	NOUN
bibechana-62465	49	8	of	of	ADP
bibechana-62465	49	9	pores	pore	NOUN
bibechana-62465	49	10	and	and	CCONJ
bibechana-62465	49	11	the	the	DET
bibechana-62465	49	12	removal	removal	NOUN
bibechana-62465	49	13	of	of	ADP
bibechana-62465	49	14	the	the	DET
bibechana-62465	49	15	volatile	volatile	ADJ
bibechana-62465	49	16	components	component	NOUN
bibechana-62465	49	17	.	.	PUNCT
bibechana-62465	50	1	the	the	DET
bibechana-62465	50	2	phosphoric	phosphoric	NOUN
bibechana-62465	50	3	acid	acid	NOUN
bibechana-62465	50	4	acted	act	VERB
bibechana-62465	50	5	as	as	ADP
bibechana-62465	50	6	a	a	DET
bibechana-62465	50	7	dehydrating	dehydrate	VERB
bibechana-62465	50	8	agent	agent	NOUN
bibechana-62465	50	9	and	and	CCONJ
bibechana-62465	50	10	helped	help	VERB
bibechana-62465	50	11	the	the	DET
bibechana-62465	50	12	carbon	carbon	NOUN
bibechana-62465	50	13	substance	substance	NOUN
bibechana-62465	50	14	(	(	PUNCT
bibechana-62465	50	15	activated	activate	VERB
bibechana-62465	50	16	carbon	carbon	NOUN
bibechana-62465	50	17	)	)	PUNCT
bibechana-62465	50	18	to	to	PART
bibechana-62465	50	19	develop	develop	VERB
bibechana-62465	50	20	holes	hole	NOUN
bibechana-62465	50	21	.	.	PUNCT
bibechana-62465	51	1	to	to	PART
bibechana-62465	51	2	get	get	AUX
bibechana-62465	51	3	rid	rid	VERB
bibechana-62465	51	4	of	of	ADP
bibechana-62465	51	5	any	any	DET
bibechana-62465	51	6	remaining	remain	VERB
bibechana-62465	51	7	acids	acid	NOUN
bibechana-62465	51	8	or	or	CCONJ
bibechana-62465	51	9	other	other	ADJ
bibechana-62465	51	10	contaminants	contaminant	NOUN
bibechana-62465	51	11	,	,	PUNCT
bibechana-62465	51	12	the	the	DET
bibechana-62465	51	13	prepared	prepared	ADJ
bibechana-62465	51	14	activated	activate	VERB
bibechana-62465	51	15	carbon	carbon	NOUN
bibechana-62465	51	16	was	be	AUX
bibechana-62465	51	17	thoroughly	thoroughly	ADV
bibechana-62465	51	18	rinsed	rinse	VERB
bibechana-62465	51	19	with	with	ADP
bibechana-62465	51	20	distilled	distil	VERB
bibechana-62465	51	21	water	water	NOUN
bibechana-62465	51	22	.	.	PUNCT
bibechana-62465	52	1	the	the	DET
bibechana-62465	52	2	synthesized	synthesize	VERB
bibechana-62465	52	3	activated	activated	ADJ
bibechana-62465	52	4	carbon	carbon	NOUN
bibechana-62465	52	5	(	(	PUNCT
bibechana-62465	52	6	ac	ac	PROPN
bibechana-62465	52	7	)	)	PUNCT
bibechana-62465	52	8	was	be	AUX
bibechana-62465	52	9	analyzed	analyze	VERB
bibechana-62465	52	10	by	by	ADP
bibechana-62465	52	11	determining	determine	VERB
bibechana-62465	52	12	its	its	PRON
bibechana-62465	52	13	iodine	iodine	NOUN
bibechana-62465	52	14	number	number	NOUN
bibechana-62465	52	15	,	,	PUNCT
bibechana-62465	52	16	methylene	methylene	ADJ
bibechana-62465	52	17	blue	blue	ADJ
bibechana-62465	52	18	number	number	NOUN
bibechana-62465	52	19	,	,	PUNCT
bibechana-62465	52	20	surface	surface	NOUN
bibechana-62465	52	21	area	area	NOUN
bibechana-62465	52	22	,	,	PUNCT
bibechana-62465	52	23	mesopore	mesopore	NOUN
bibechana-62465	52	24	volume	volume	NOUN
bibechana-62465	52	25	and	and	CCONJ
bibechana-62465	52	26	total	total	ADJ
bibechana-62465	52	27	pore	pore	ADJ
bibechana-62465	52	28	volume	volume	NOUN
bibechana-62465	52	29	[	[	X
bibechana-62465	52	30	18–20	18–20	NUM
bibechana-62465	52	31	]	]	PUNCT
bibechana-62465	52	32	.	.	PUNCT
bibechana-62465	53	1	we	we	PRON
bibechana-62465	53	2	took	take	VERB
bibechana-62465	53	3	eight	eight	NUM
bibechana-62465	53	4	data	datum	NOUN
bibechana-62465	53	5	for	for	ADP
bibechana-62465	53	6	each	each	DET
bibechana-62465	53	7	feature	feature	NOUN
bibechana-62465	53	8	of	of	ADP
bibechana-62465	53	9	methylene	methylene	ADJ
bibechana-62465	53	10	blue	blue	ADJ
bibechana-62465	53	11	number	number	NOUN
bibechana-62465	53	12	,	,	PUNCT
bibechana-62465	53	13	iodine	iodine	NOUN
bibechana-62465	53	14	number	number	NOUN
bibechana-62465	53	15	,	,	PUNCT
bibechana-62465	53	16	surface	surface	NOUN
bibechana-62465	53	17	area	area	NOUN
bibechana-62465	53	18	,	,	PUNCT
bibechana-62465	53	19	mesopore	mesopore	NOUN
bibechana-62465	53	20	volume	volume	NOUN
bibechana-62465	53	21	,	,	PUNCT
bibechana-62465	53	22	and	and	CCONJ
bibechana-62465	53	23	total	total	ADJ
bibechana-62465	53	24	pore	pore	ADJ
bibechana-62465	53	25	volume	volume	NOUN
bibechana-62465	53	26	.	.	PUNCT
bibechana-62465	54	1	kirti	kirti	PROPN
bibechana-62465	54	2	bir	bir	PROPN
bibechana-62465	54	3	rajguru	rajguru	PROPN
bibechana-62465	54	4	et	et	PROPN
bibechana-62465	54	5	al./	al./	ADV
bibechana-62465	54	6	bibechana	bibechana	PROPN
bibechana-62465	54	7	21	21	NUM
bibechana-62465	54	8	(	(	PUNCT
bibechana-62465	54	9	2024	2024	NUM
bibechana-62465	54	10	)	)	PUNCT
bibechana-62465	54	11	159	159	NUM
bibechana-62465	54	12	-	-	SYM
bibechana-62465	54	13	170	170	NUM
bibechana-62465	54	14	161	161	NUM
bibechana-62465	54	15	2.2	2.2	NUM
bibechana-62465	54	16	computational	computational	ADJ
bibechana-62465	54	17	2.2.1	2.2.1	NUM
bibechana-62465	54	18	data	datum	NOUN
bibechana-62465	54	19	collection	collection	NOUN
bibechana-62465	54	20	figure	figure	NOUN
bibechana-62465	54	21	1	1	NUM
bibechana-62465	54	22	:	:	PUNCT
bibechana-62465	54	23	heatmap	heatmap	NOUN
bibechana-62465	54	24	of	of	ADP
bibechana-62465	54	25	regression	regression	NOUN
bibechana-62465	54	26	values	value	NOUN
bibechana-62465	54	27	of	of	ADP
bibechana-62465	54	28	different	different	ADJ
bibechana-62465	54	29	input	input	NOUN
bibechana-62465	54	30	and	and	CCONJ
bibechana-62465	54	31	output	output	NOUN
bibechana-62465	54	32	features	feature	NOUN
bibechana-62465	54	33	of	of	ADP
bibechana-62465	54	34	ac	ac	PROPN
bibechana-62465	54	35	.	.	PUNCT
bibechana-62465	54	36	figure	figure	NOUN
bibechana-62465	54	37	2	2	NUM
bibechana-62465	54	38	:	:	PUNCT
bibechana-62465	54	39	box	box	NOUN
bibechana-62465	54	40	plot	plot	NOUN
bibechana-62465	54	41	featuring	feature	VERB
bibechana-62465	54	42	range	range	NOUN
bibechana-62465	54	43	of	of	ADP
bibechana-62465	54	44	input	input	NOUN
bibechana-62465	54	45	and	and	CCONJ
bibechana-62465	54	46	output	output	NOUN
bibechana-62465	54	47	values	value	NOUN
bibechana-62465	54	48	of	of	ADP
bibechana-62465	54	49	features	feature	NOUN
bibechana-62465	54	50	of	of	ADP
bibechana-62465	54	51	the	the	DET
bibechana-62465	54	52	ac	ac	PROPN
bibechana-62465	54	53	.	.	PROPN
bibechana-62465	55	1	figure	figure	VERB
bibechana-62465	55	2	3	3	NUM
bibechana-62465	55	3	:	:	PUNCT
bibechana-62465	55	4	histogram	histogram	NOUN
bibechana-62465	55	5	of	of	ADP
bibechana-62465	55	6	all	all	DET
bibechana-62465	55	7	the	the	DET
bibechana-62465	55	8	inputs	input	NOUN
bibechana-62465	55	9	and	and	CCONJ
bibechana-62465	55	10	output	output	NOUN
bibechana-62465	55	11	features	feature	NOUN
bibechana-62465	55	12	.	.	PUNCT
bibechana-62465	56	1	the	the	DET
bibechana-62465	56	2	data	datum	NOUN
bibechana-62465	56	3	from	from	ADP
bibechana-62465	56	4	the	the	DET
bibechana-62465	56	5	experimental	experimental	ADJ
bibechana-62465	56	6	method	method	NOUN
bibechana-62465	56	7	was	be	AUX
bibechana-62465	56	8	used	use	VERB
bibechana-62465	56	9	to	to	PART
bibechana-62465	56	10	define	define	VERB
bibechana-62465	56	11	the	the	DET
bibechana-62465	56	12	range	range	NOUN
bibechana-62465	56	13	and	and	CCONJ
bibechana-62465	56	14	variance	variance	NOUN
bibechana-62465	56	15	of	of	ADP
bibechana-62465	56	16	each	each	PRON
bibechana-62465	56	17	of	of	ADP
bibechana-62465	56	18	the	the	DET
bibechana-62465	56	19	resultant	resultant	NOUN
bibechana-62465	56	20	values	value	NOUN
bibechana-62465	56	21	obtained	obtain	VERB
bibechana-62465	56	22	using	use	VERB
bibechana-62465	56	23	formulas	formula	NOUN
bibechana-62465	56	24	for	for	ADP
bibechana-62465	56	25	specific	specific	ADJ
bibechana-62465	56	26	capacitance	capacitance	NOUN
bibechana-62465	56	27	,	,	PUNCT
bibechana-62465	56	28	surface	surface	NOUN
bibechana-62465	56	29	area	area	NOUN
bibechana-62465	56	30	,	,	PUNCT
bibechana-62465	56	31	mesopore	mesopore	NOUN
bibechana-62465	56	32	volume	volume	NOUN
bibechana-62465	56	33	,	,	PUNCT
bibechana-62465	56	34	and	and	CCONJ
bibechana-62465	56	35	total	total	ADJ
bibechana-62465	56	36	pore	pore	ADJ
bibechana-62465	56	37	volume	volume	NOUN
bibechana-62465	56	38	.	.	PUNCT
bibechana-62465	57	1	the	the	DET
bibechana-62465	57	2	synthetic	synthetic	ADJ
bibechana-62465	57	3	data	datum	NOUN
bibechana-62465	57	4	was	be	AUX
bibechana-62465	57	5	generated	generate	VERB
bibechana-62465	57	6	using	use	VERB
bibechana-62465	57	7	the	the	DET
bibechana-62465	57	8	algorithm	algorithm	NOUN
bibechana-62465	57	9	of	of	ADP
bibechana-62465	57	10	producing	produce	VERB
bibechana-62465	57	11	random	random	ADJ
bibechana-62465	57	12	number	number	NOUN
bibechana-62465	57	13	but	but	CCONJ
bibechana-62465	57	14	in	in	ADP
bibechana-62465	57	15	range	range	NOUN
bibechana-62465	57	16	and	and	CCONJ
bibechana-62465	57	17	variance	variance	NOUN
bibechana-62465	57	18	obtained	obtain	VERB
bibechana-62465	57	19	from	from	ADP
bibechana-62465	57	20	the	the	DET
bibechana-62465	57	21	experimental	experimental	ADJ
bibechana-62465	57	22	data	datum	NOUN
bibechana-62465	57	23	.	.	PUNCT
bibechana-62465	58	1	the	the	DET
bibechana-62465	58	2	large	large	ADJ
bibechana-62465	58	3	number	number	NOUN
bibechana-62465	58	4	of	of	ADP
bibechana-62465	58	5	synthetic	synthetic	ADJ
bibechana-62465	58	6	data	data	NOUN
bibechana-62465	58	7	generation	generation	NOUN
bibechana-62465	58	8	is	be	AUX
bibechana-62465	58	9	crucial	crucial	ADJ
bibechana-62465	58	10	for	for	ADP
bibechana-62465	58	11	machine	machine	NOUN
bibechana-62465	58	12	learning	learning	NOUN
bibechana-62465	58	13	as	as	SCONJ
bibechana-62465	58	14	it	it	PRON
bibechana-62465	58	15	helps	help	VERB
bibechana-62465	58	16	to	to	PART
bibechana-62465	58	17	expand	expand	VERB
bibechana-62465	58	18	the	the	DET
bibechana-62465	58	19	dataset	dataset	NOUN
bibechana-62465	58	20	,	,	PUNCT
bibechana-62465	58	21	making	make	VERB
bibechana-62465	58	22	the	the	DET
bibechana-62465	58	23	model	model	NOUN
bibechana-62465	58	24	more	more	ADV
bibechana-62465	58	25	robust	robust	ADJ
bibechana-62465	58	26	and	and	CCONJ
bibechana-62465	58	27	capable	capable	ADJ
bibechana-62465	58	28	of	of	ADP
bibechana-62465	58	29	better	well	ADJ
bibechana-62465	58	30	generalization	generalization	NOUN
bibechana-62465	58	31	.	.	PUNCT
bibechana-62465	59	1	this	this	DET
bibechana-62465	59	2	broader	broad	ADJ
bibechana-62465	59	3	dataset	dataset	NOUN
bibechana-62465	59	4	can	can	AUX
bibechana-62465	59	5	lead	lead	VERB
bibechana-62465	59	6	to	to	ADP
bibechana-62465	59	7	improved	improved	ADJ
bibechana-62465	59	8	training	training	NOUN
bibechana-62465	59	9	and	and	CCONJ
bibechana-62465	59	10	more	more	ADV
bibechana-62465	59	11	accurate	accurate	ADJ
bibechana-62465	59	12	predictions	prediction	NOUN
bibechana-62465	59	13	.	.	PUNCT
bibechana-62465	60	1	machine	machine	NOUN
bibechana-62465	60	2	learning	learn	VERB
bibechana-62465	60	3	algorithms	algorithm	NOUN
bibechana-62465	60	4	often	often	ADV
bibechana-62465	60	5	require	require	VERB
bibechana-62465	60	6	a	a	DET
bibechana-62465	60	7	significant	significant	ADJ
bibechana-62465	60	8	amount	amount	NOUN
bibechana-62465	60	9	of	of	ADP
bibechana-62465	60	10	diverse	diverse	ADJ
bibechana-62465	60	11	data	datum	NOUN
bibechana-62465	60	12	to	to	PART
bibechana-62465	60	13	effectively	effectively	ADV
bibechana-62465	60	14	learn	learn	VERB
bibechana-62465	60	15	patterns	pattern	NOUN
bibechana-62465	60	16	and	and	CCONJ
bibechana-62465	60	17	relationships	relationship	NOUN
bibechana-62465	60	18	.	.	PUNCT
bibechana-62465	61	1	the	the	DET
bibechana-62465	61	2	details	detail	NOUN
bibechana-62465	61	3	of	of	ADP
bibechana-62465	61	4	the	the	DET
bibechana-62465	61	5	generated	generate	VERB
bibechana-62465	61	6	data	datum	NOUN
bibechana-62465	61	7	can	can	AUX
bibechana-62465	61	8	be	be	AUX
bibechana-62465	61	9	studied	study	VERB
bibechana-62465	61	10	using	use	VERB
bibechana-62465	61	11	the	the	DET
bibechana-62465	61	12	heat	heat	NOUN
bibechana-62465	61	13	map	map	NOUN
bibechana-62465	61	14	,	,	PUNCT
bibechana-62465	61	15	the	the	DET
bibechana-62465	61	16	box	box	PROPN
bibechana-62465	61	17	plot	plot	NOUN
bibechana-62465	61	18	and	and	CCONJ
bibechana-62465	61	19	histogram	histogram	NOUN
bibechana-62465	61	20	shown	show	VERB
bibechana-62465	61	21	in	in	ADP
bibechana-62465	61	22	figure	figure	NOUN
bibechana-62465	61	23	1	1	NUM
bibechana-62465	61	24	,	,	PUNCT
bibechana-62465	61	25	2	2	NUM
bibechana-62465	61	26	and	and	CCONJ
bibechana-62465	61	27	3	3	NUM
bibechana-62465	61	28	respectively	respectively	ADV
bibechana-62465	61	29	.	.	PUNCT
bibechana-62465	62	1	by	by	ADP
bibechana-62465	62	2	creating	create	VERB
bibechana-62465	62	3	synthetic	synthetic	ADJ
bibechana-62465	62	4	data	datum	NOUN
bibechana-62465	62	5	that	that	PRON
bibechana-62465	62	6	closely	closely	ADV
bibechana-62465	62	7	resembles	resemble	VERB
bibechana-62465	62	8	the	the	DET
bibechana-62465	62	9	original	original	ADJ
bibechana-62465	62	10	experimental	experimental	ADJ
bibechana-62465	62	11	data	datum	NOUN
bibechana-62465	62	12	,	,	PUNCT
bibechana-62465	62	13	we	we	PRON
bibechana-62465	62	14	provide	provide	VERB
bibechana-62465	62	15	the	the	DET
bibechana-62465	62	16	algorithm	algorithm	NOUN
bibechana-62465	62	17	with	with	ADP
bibechana-62465	62	18	more	more	ADJ
bibechana-62465	62	19	examples	example	NOUN
bibechana-62465	62	20	which	which	PRON
bibechana-62465	62	21	will	will	AUX
bibechana-62465	62	22	potentially	potentially	ADV
bibechana-62465	62	23	enhance	enhance	VERB
bibechana-62465	62	24	its	its	PRON
bibechana-62465	62	25	performance	performance	NOUN
bibechana-62465	62	26	.	.	PUNCT
bibechana-62465	63	1	the	the	DET
bibechana-62465	63	2	large	large	ADJ
bibechana-62465	63	3	number	number	NOUN
bibechana-62465	63	4	of	of	ADP
bibechana-62465	63	5	data	datum	NOUN
bibechana-62465	63	6	were	be	AUX
bibechana-62465	63	7	generated	generate	VERB
bibechana-62465	63	8	.	.	PUNCT
bibechana-62465	64	1	to	to	PART
bibechana-62465	64	2	generate	generate	VERB
bibechana-62465	64	3	a	a	DET
bibechana-62465	64	4	normal	normal	ADJ
bibechana-62465	64	5	random	random	ADJ
bibechana-62465	64	6	distribution	distribution	NOUN
bibechana-62465	64	7	value	value	NOUN
bibechana-62465	64	8	firstly	firstly	ADV
bibechana-62465	64	9	,	,	PUNCT
bibechana-62465	64	10	we	we	PRON
bibechana-62465	64	11	limited	limit	VERB
bibechana-62465	64	12	the	the	DET
bibechana-62465	64	13	range	range	NOUN
bibechana-62465	64	14	of	of	ADP
bibechana-62465	64	15	input	input	NOUN
bibechana-62465	64	16	and	and	CCONJ
bibechana-62465	64	17	out	out	ADP
bibechana-62465	64	18	values	value	NOUN
bibechana-62465	64	19	by	by	ADP
bibechana-62465	64	20	using	use	VERB
bibechana-62465	64	21	an	an	DET
bibechana-62465	64	22	algorithm	algorithm	NOUN
bibechana-62465	64	23	function	function	NOUN
bibechana-62465	64	24	.	.	PUNCT
bibechana-62465	65	1	finally	finally	ADV
bibechana-62465	65	2	,	,	PUNCT
bibechana-62465	65	3	the	the	DET
bibechana-62465	65	4	generated	generate	VERB
bibechana-62465	65	5	value	value	NOUN
bibechana-62465	65	6	is	be	AUX
bibechana-62465	65	7	scaled	scale	VERB
bibechana-62465	65	8	to	to	PART
bibechana-62465	65	9	fit	fit	VERB
bibechana-62465	65	10	within	within	ADP
bibechana-62465	65	11	the	the	DET
bibechana-62465	65	12	range	range	NOUN
bibechana-62465	65	13	as	as	SCONJ
bibechana-62465	65	14	mentioned	mention	VERB
bibechana-62465	65	15	above	above	ADV
bibechana-62465	65	16	.	.	PUNCT
bibechana-62465	66	1	these	these	DET
bibechana-62465	66	2	techniques	technique	NOUN
bibechana-62465	66	3	ensured	ensure	VERB
bibechana-62465	66	4	that	that	SCONJ
bibechana-62465	66	5	the	the	DET
bibechana-62465	66	6	synthetic	synthetic	ADJ
bibechana-62465	66	7	data	datum	NOUN
bibechana-62465	66	8	closely	closely	ADV
bibechana-62465	66	9	resembles	resemble	VERB
bibechana-62465	66	10	our	our	PRON
bibechana-62465	66	11	experimental	experimental	ADJ
bibechana-62465	66	12	data	datum	NOUN
bibechana-62465	67	1	[	[	X
bibechana-62465	67	2	21,22	21,22	X
bibechana-62465	67	3	]	]	X
bibechana-62465	67	4	.	.	PUNCT
bibechana-62465	68	1	2.2.2	2.2.2	NUM
bibechana-62465	68	2	machine	machine	NOUN
bibechana-62465	68	3	learning	learning	NOUN
bibechana-62465	68	4	process	process	NOUN
bibechana-62465	68	5	firstly	firstly	ADV
bibechana-62465	68	6	,	,	PUNCT
bibechana-62465	68	7	the	the	DET
bibechana-62465	68	8	data	datum	NOUN
bibechana-62465	68	9	were	be	AUX
bibechana-62465	68	10	checked	check	VERB
bibechana-62465	68	11	for	for	ADP
bibechana-62465	68	12	missing	miss	VERB
bibechana-62465	68	13	values	value	NOUN
bibechana-62465	68	14	and	and	CCONJ
bibechana-62465	68	15	missing	miss	VERB
bibechana-62465	68	16	values	value	NOUN
bibechana-62465	68	17	were	be	AUX
bibechana-62465	68	18	computed	compute	VERB
bibechana-62465	68	19	using	using	AUX
bibechana-62465	68	20	mean	mean	VERB
bibechana-62465	68	21	.	.	PUNCT
bibechana-62465	69	1	in	in	ADP
bibechana-62465	69	2	the	the	DET
bibechana-62465	69	3	following	follow	VERB
bibechana-62465	69	4	process	process	NOUN
bibechana-62465	69	5	,	,	PUNCT
bibechana-62465	69	6	firstly	firstly	ADV
bibechana-62465	69	7	the	the	DET
bibechana-62465	69	8	importance	importance	NOUN
bibechana-62465	69	9	of	of	ADP
bibechana-62465	69	10	input	input	NOUN
bibechana-62465	69	11	features	feature	NOUN
bibechana-62465	69	12	and	and	CCONJ
bibechana-62465	69	13	their	their	PRON
bibechana-62465	69	14	order	order	NOUN
bibechana-62465	69	15	of	of	ADP
bibechana-62465	69	16	importance	importance	NOUN
bibechana-62465	69	17	were	be	AUX
bibechana-62465	69	18	noted	note	VERB
bibechana-62465	69	19	for	for	ADP
bibechana-62465	69	20	each	each	DET
bibechana-62465	69	21	output	output	NOUN
bibechana-62465	69	22	feature	feature	NOUN
bibechana-62465	69	23	as	as	SCONJ
bibechana-62465	69	24	shown	show	VERB
bibechana-62465	69	25	in	in	ADP
bibechana-62465	69	26	the	the	DET
bibechana-62465	69	27	figure	figure	NOUN
bibechana-62465	69	28	3	3	NUM
bibechana-62465	69	29	.	.	PUNCT
bibechana-62465	69	30	methylene	methylene	ADJ
bibechana-62465	69	31	blue	blue	ADJ
bibechana-62465	69	32	number	number	NOUN
bibechana-62465	69	33	was	be	AUX
bibechana-62465	69	34	the	the	DET
bibechana-62465	69	35	most	most	ADV
bibechana-62465	69	36	important	important	ADJ
bibechana-62465	69	37	parameter	parameter	NOUN
bibechana-62465	69	38	for	for	ADP
bibechana-62465	69	39	the	the	DET
bibechana-62465	69	40	prediction	prediction	NOUN
bibechana-62465	69	41	of	of	ADP
bibechana-62465	69	42	mesopore	mesopore	NOUN
bibechana-62465	69	43	volume	volume	NOUN
bibechana-62465	69	44	followed	follow	VERB
bibechana-62465	69	45	by	by	ADP
bibechana-62465	69	46	temperature	temperature	NOUN
bibechana-62465	69	47	and	and	CCONJ
bibechana-62465	69	48	iodine	iodine	NOUN
bibechana-62465	69	49	number	number	NOUN
bibechana-62465	69	50	respectively	respectively	ADV
bibechana-62465	69	51	.	.	PUNCT
bibechana-62465	70	1	finally	finally	ADV
bibechana-62465	70	2	,	,	PUNCT
bibechana-62465	70	3	iodine	iodine	NOUN
bibechana-62465	70	4	number	number	NOUN
bibechana-62465	70	5	,	,	PUNCT
bibechana-62465	70	6	methylene	methylene	ADJ
bibechana-62465	70	7	blue	blue	ADJ
bibechana-62465	70	8	number	number	NOUN
bibechana-62465	70	9	and	and	CCONJ
bibechana-62465	70	10	temperature	temperature	NOUN
bibechana-62465	70	11	in	in	ADP
bibechana-62465	70	12	the	the	DET
bibechana-62465	70	13	same	same	ADJ
bibechana-62465	70	14	order	order	NOUN
bibechana-62465	70	15	are	be	AUX
bibechana-62465	70	16	important	important	ADJ
bibechana-62465	70	17	for	for	ADP
bibechana-62465	70	18	prediction	prediction	NOUN
bibechana-62465	70	19	of	of	ADP
bibechana-62465	70	20	total	total	ADJ
bibechana-62465	70	21	pore	pore	ADJ
bibechana-62465	70	22	volume	volume	NOUN
bibechana-62465	70	23	.	.	PUNCT
bibechana-62465	71	1	to	to	PART
bibechana-62465	71	2	ensure	ensure	VERB
bibechana-62465	71	3	fair	fair	ADJ
bibechana-62465	71	4	treatment	treatment	NOUN
bibechana-62465	71	5	of	of	ADP
bibechana-62465	71	6	features	feature	NOUN
bibechana-62465	71	7	,	,	PUNCT
bibechana-62465	71	8	we	we	PRON
bibechana-62465	71	9	applied	apply	VERB
bibechana-62465	71	10	scaling	scale	VERB
bibechana-62465	71	11	to	to	PART
bibechana-62465	71	12	bring	bring	VERB
bibechana-62465	71	13	all	all	DET
bibechana-62465	71	14	the	the	DET
bibechana-62465	71	15	features	feature	NOUN
bibechana-62465	71	16	to	to	ADP
bibechana-62465	71	17	a	a	DET
bibechana-62465	71	18	similar	similar	ADJ
bibechana-62465	71	19	scale	scale	NOUN
bibechana-62465	71	20	.	.	PUNCT
bibechana-62465	72	1	random	random	ADJ
bibechana-62465	72	2	forest	forest	NOUN
bibechana-62465	72	3	model	model	NOUN
bibechana-62465	72	4	was	be	AUX
bibechana-62465	72	5	used	use	VERB
bibechana-62465	72	6	to	to	PART
bibechana-62465	72	7	calculate	calculate	VERB
bibechana-62465	72	8	feature	feature	NOUN
bibechana-62465	72	9	importance	importance	NOUN
bibechana-62465	72	10	.	.	PUNCT
bibechana-62465	73	1	the	the	DET
bibechana-62465	73	2	normalized	normalize	VERB
bibechana-62465	73	3	reduction	reduction	NOUN
bibechana-62465	73	4	in	in	ADP
bibechana-62465	73	5	the	the	DET
bibechana-62465	73	6	criterion	criterion	NOUN
bibechana-62465	73	7	brought	bring	VERB
bibechana-62465	73	8	by	by	ADP
bibechana-62465	73	9	each	each	DET
bibechana-62465	73	10	feature	feature	NOUN
bibechana-62465	73	11	was	be	AUX
bibechana-62465	73	12	guided	guide	VERB
bibechana-62465	73	13	our	our	PRON
bibechana-62465	73	14	selection	selection	NOUN
bibechana-62465	73	15	process	process	NOUN
bibechana-62465	73	16	.	.	PUNCT
bibechana-62465	74	1	a	a	DET
bibechana-62465	74	2	variety	variety	NOUN
bibechana-62465	74	3	of	of	ADP
bibechana-62465	74	4	machine	machine	NOUN
bibechana-62465	74	5	learning	learn	VERB
bibechana-62465	74	6	algorithms	algorithm	NOUN
bibechana-62465	74	7	were	be	AUX
bibechana-62465	74	8	chosen	choose	VERB
bibechana-62465	74	9	based	base	VERB
bibechana-62465	74	10	on	on	ADP
bibechana-62465	74	11	their	their	PRON
bibechana-62465	74	12	relevance	relevance	NOUN
bibechana-62465	74	13	to	to	ADP
bibechana-62465	74	14	the	the	DET
bibechana-62465	74	15	task	task	NOUN
bibechana-62465	74	16	.	.	PUNCT
bibechana-62465	75	1	the	the	DET
bibechana-62465	75	2	dataset	dataset	NOUN
bibechana-62465	75	3	was	be	AUX
bibechana-62465	75	4	partitioned	partition	VERB
bibechana-62465	75	5	into	into	ADP
bibechana-62465	75	6	training	training	NOUN
bibechana-62465	75	7	and	and	CCONJ
bibechana-62465	75	8	validation	validation	NOUN
bibechana-62465	75	9	sets	set	NOUN
bibechana-62465	75	10	in	in	ADP
bibechana-62465	75	11	the	the	DET
bibechana-62465	75	12	ratio	ratio	NOUN
bibechana-62465	75	13	of	of	ADP
bibechana-62465	75	14	80:20	80:20	NUM
bibechana-62465	75	15	.	.	PUNCT
bibechana-62465	76	1	subsequently	subsequently	ADV
bibechana-62465	76	2	,	,	PUNCT
bibechana-62465	76	3	each	each	DET
bibechana-62465	76	4	algorithm	algorithm	NOUN
bibechana-62465	76	5	underwent	undergo	VERB
bibechana-62465	76	6	training	training	NOUN
bibechana-62465	76	7	using	use	VERB
bibechana-62465	76	8	the	the	DET
bibechana-62465	76	9	training	training	NOUN
bibechana-62465	76	10	data	datum	NOUN
bibechana-62465	76	11	,	,	PUNCT
bibechana-62465	76	12	enabling	enable	VERB
bibechana-62465	76	13	them	they	PRON
bibechana-62465	76	14	to	to	PART
bibechana-62465	76	15	grasp	grasp	VERB
bibechana-62465	76	16	underlying	underlying	ADJ
bibechana-62465	76	17	patterns	pattern	NOUN
bibechana-62465	76	18	[	[	X
bibechana-62465	76	19	23	23	NUM
bibechana-62465	76	20	]	]	PUNCT
bibechana-62465	76	21	.	.	PUNCT
bibechana-62465	77	1	analysis	analysis	NOUN
bibechana-62465	77	2	of	of	ADP
bibechana-62465	77	3	the	the	DET
bibechana-62465	77	4	results	result	NOUN
bibechana-62465	77	5	provided	provide	VERB
bibechana-62465	77	6	insights	insight	NOUN
bibechana-62465	77	7	into	into	ADP
bibechana-62465	77	8	algorithm	algorithm	NOUN
bibechana-62465	77	9	performance	performance	NOUN
bibechana-62465	77	10	,	,	PUNCT
bibechana-62465	77	11	guiding	guide	VERB
bibechana-62465	77	12	the	the	DET
bibechana-62465	77	13	refinement	refinement	NOUN
bibechana-62465	77	14	of	of	ADP
bibechana-62465	77	15	the	the	DET
bibechana-62465	77	16	approach	approach	NOUN
bibechana-62465	77	17	for	for	ADP
bibechana-62465	77	18	improved	improved	ADJ
bibechana-62465	77	19	outcomes	outcome	NOUN
bibechana-62465	77	20	in	in	ADP
bibechana-62465	77	21	subsequent	subsequent	ADJ
bibechana-62465	77	22	iterations	iteration	NOUN
bibechana-62465	78	1	[	[	X
bibechana-62465	78	2	24	24	NUM
bibechana-62465	78	3	]	]	PUNCT
bibechana-62465	78	4	.	.	PUNCT
bibechana-62465	79	1	kirti	kirti	PROPN
bibechana-62465	79	2	bir	bir	PROPN
bibechana-62465	79	3	rajguru	rajguru	PROPN
bibechana-62465	79	4	et	et	PROPN
bibechana-62465	79	5	al./	al./	ADV
bibechana-62465	79	6	bibechana	bibechana	PROPN
bibechana-62465	79	7	21	21	NUM
bibechana-62465	79	8	(	(	PUNCT
bibechana-62465	79	9	2024	2024	NUM
bibechana-62465	79	10	)	)	PUNCT
bibechana-62465	79	11	159	159	NUM
bibechana-62465	79	12	-	-	SYM
bibechana-62465	79	13	170	170	NUM
bibechana-62465	79	14	162	162	NUM
bibechana-62465	79	15	figure	figure	NOUN
bibechana-62465	79	16	4	4	NUM
bibechana-62465	79	17	:	:	PUNCT
bibechana-62465	79	18	feature	feature	VERB
bibechana-62465	79	19	importance	importance	NOUN
bibechana-62465	79	20	of	of	ADP
bibechana-62465	79	21	input	input	NOUN
bibechana-62465	79	22	variables	variable	NOUN
bibechana-62465	79	23	for	for	ADP
bibechana-62465	79	24	output	output	NOUN
bibechana-62465	79	25	of	of	ADP
bibechana-62465	79	26	‘	'	PUNCT
bibechana-62465	79	27	’	'	PUNCT
bibechana-62465	79	28	surface	surface	NOUN
bibechana-62465	79	29	area	area	NOUN
bibechana-62465	79	30	"	"	PUNCT
bibechana-62465	79	31	.	.	PUNCT
bibechana-62465	80	1	figure	figure	VERB
bibechana-62465	80	2	5	5	NUM
bibechana-62465	80	3	:	:	PUNCT
bibechana-62465	80	4	feature	feature	NOUN
bibechana-62465	80	5	importance	importance	NOUN
bibechana-62465	80	6	of	of	ADP
bibechana-62465	80	7	input	input	NOUN
bibechana-62465	80	8	variables	variable	NOUN
bibechana-62465	80	9	for	for	ADP
bibechana-62465	80	10	output	output	NOUN
bibechana-62465	80	11	of	of	ADP
bibechana-62465	80	12	total	total	ADJ
bibechana-62465	80	13	pore	pore	ADJ
bibechana-62465	80	14	volume	volume	NOUN
bibechana-62465	80	15	.	.	PUNCT
bibechana-62465	81	1	figure	figure	VERB
bibechana-62465	81	2	6	6	NUM
bibechana-62465	81	3	:	:	PUNCT
bibechana-62465	81	4	feature	feature	NOUN
bibechana-62465	81	5	importance	importance	NOUN
bibechana-62465	81	6	of	of	ADP
bibechana-62465	81	7	input	input	NOUN
bibechana-62465	81	8	variables	variable	NOUN
bibechana-62465	81	9	for	for	ADP
bibechana-62465	81	10	output	output	NOUN
bibechana-62465	81	11	of	of	ADP
bibechana-62465	81	12	‘	'	PUNCT
bibechana-62465	81	13	’	'	PUNCT
bibechana-62465	81	14	mesopore	mesopore	NOUN
bibechana-62465	81	15	volume	volume	NOUN
bibechana-62465	81	16	’	'	PUNCT
bibechana-62465	81	17	’	'	PUNCT
bibechana-62465	81	18	.	.	PUNCT
bibechana-62465	82	1	2.2.3	2.2.3	NUM
bibechana-62465	82	2	proposed	propose	VERB
bibechana-62465	82	3	model	model	NOUN
bibechana-62465	82	4	selection	selection	NOUN
bibechana-62465	82	5	there	there	PRON
bibechana-62465	82	6	are	be	VERB
bibechana-62465	82	7	several	several	ADJ
bibechana-62465	82	8	machine	machine	NOUN
bibechana-62465	82	9	learning	learning	NOUN
bibechana-62465	82	10	algorithms	algorithm	NOUN
bibechana-62465	82	11	that	that	PRON
bibechana-62465	82	12	are	be	AUX
bibechana-62465	82	13	suitable	suitable	ADJ
bibechana-62465	82	14	for	for	ADP
bibechana-62465	82	15	regression	regression	NOUN
bibechana-62465	82	16	tasks	task	NOUN
bibechana-62465	82	17	.	.	PUNCT
bibechana-62465	83	1	in	in	ADP
bibechana-62465	83	2	this	this	DET
bibechana-62465	83	3	paper	paper	NOUN
bibechana-62465	83	4	following	follow	VERB
bibechana-62465	83	5	machine	machine	NOUN
bibechana-62465	83	6	learning	learning	NOUN
bibechana-62465	83	7	algorithms	algorithm	NOUN
bibechana-62465	83	8	were	be	AUX
bibechana-62465	83	9	described	describe	VERB
bibechana-62465	83	10	.	.	PUNCT
bibechana-62465	84	1	linear	linear	PROPN
bibechana-62465	84	2	regression	regression	VERB
bibechana-62465	84	3	a	a	DET
bibechana-62465	84	4	fundamental	fundamental	ADJ
bibechana-62465	84	5	approach	approach	NOUN
bibechana-62465	84	6	model	model	NOUN
bibechana-62465	84	7	connects	connect	VERB
bibechana-62465	84	8	between	between	ADP
bibechana-62465	84	9	input	input	NOUN
bibechana-62465	84	10	variable	variable	NOUN
bibechana-62465	84	11	and	and	CCONJ
bibechana-62465	84	12	a	a	DET
bibechana-62465	84	13	continuous	continuous	ADJ
bibechana-62465	84	14	output	output	NOUN
bibechana-62465	84	15	using	use	VERB
bibechana-62465	84	16	a	a	DET
bibechana-62465	84	17	linear	linear	ADJ
bibechana-62465	84	18	equation	equation	NOUN
bibechana-62465	84	19	.	.	PUNCT
bibechana-62465	85	1	linear	linear	ADJ
bibechana-62465	85	2	regression	regression	NOUN
bibechana-62465	85	3	is	be	AUX
bibechana-62465	85	4	a	a	DET
bibechana-62465	85	5	fundamental	fundamental	ADJ
bibechana-62465	85	6	statistical	statistical	ADJ
bibechana-62465	85	7	method	method	NOUN
bibechana-62465	85	8	used	use	VERB
bibechana-62465	85	9	for	for	ADP
bibechana-62465	85	10	modeling	model	VERB
bibechana-62465	85	11	the	the	DET
bibechana-62465	85	12	relationship	relationship	NOUN
bibechana-62465	85	13	between	between	ADP
bibechana-62465	85	14	a	a	DET
bibechana-62465	85	15	dependent	dependent	ADJ
bibechana-62465	85	16	variable	variable	NOUN
bibechana-62465	85	17	and	and	CCONJ
bibechana-62465	85	18	one	one	NUM
bibechana-62465	85	19	or	or	CCONJ
bibechana-62465	85	20	more	more	ADV
bibechana-62465	85	21	independent	independent	ADJ
bibechana-62465	85	22	variables	variable	NOUN
bibechana-62465	85	23	.	.	PUNCT
bibechana-62465	86	1	the	the	DET
bibechana-62465	86	2	rationale	rationale	NOUN
bibechana-62465	86	3	behind	behind	ADP
bibechana-62465	86	4	linear	linear	PROPN
bibechana-62465	86	5	regression	regression	NOUN
bibechana-62465	86	6	is	be	AUX
bibechana-62465	86	7	being	be	AUX
bibechana-62465	86	8	simple	simple	ADJ
bibechana-62465	86	9	and	and	CCONJ
bibechana-62465	86	10	interpretable	interpretable	ADJ
bibechana-62465	86	11	and	and	CCONJ
bibechana-62465	86	12	can	can	AUX
bibechana-62465	86	13	be	be	AUX
bibechana-62465	86	14	used	use	VERB
bibechana-62465	86	15	for	for	ADP
bibechana-62465	86	16	robust	robust	ADJ
bibechana-62465	86	17	regression	regression	NOUN
bibechana-62465	86	18	and	and	CCONJ
bibechana-62465	86	19	classification	classification	NOUN
bibechana-62465	86	20	tasks	task	NOUN
bibechana-62465	86	21	.	.	PUNCT
bibechana-62465	87	1	it	it	PRON
bibechana-62465	87	2	assumes	assume	VERB
bibechana-62465	87	3	a	a	DET
bibechana-62465	87	4	linear	linear	ADJ
bibechana-62465	87	5	relationship	relationship	NOUN
bibechana-62465	87	6	between	between	ADP
bibechana-62465	87	7	the	the	DET
bibechana-62465	87	8	variables	variable	NOUN
bibechana-62465	87	9	,	,	PUNCT
bibechana-62465	87	10	attempting	attempt	VERB
bibechana-62465	87	11	to	to	PART
bibechana-62465	87	12	find	find	VERB
bibechana-62465	87	13	the	the	DET
bibechana-62465	87	14	best	well	ADV
bibechana-62465	87	15	-	-	PUNCT
bibechana-62465	87	16	fitting	fit	VERB
bibechana-62465	87	17	straight	straight	ADJ
bibechana-62465	87	18	line	line	NOUN
bibechana-62465	87	19	(	(	PUNCT
bibechana-62465	87	20	or	or	CCONJ
bibechana-62465	87	21	hyperplane	hyperplane	NOUN
bibechana-62465	87	22	in	in	ADP
bibechana-62465	87	23	higher	high	ADJ
bibechana-62465	87	24	dimensions	dimension	NOUN
bibechana-62465	87	25	)	)	PUNCT
bibechana-62465	87	26	through	through	ADP
bibechana-62465	87	27	the	the	DET
bibechana-62465	87	28	data	data	NOUN
bibechana-62465	87	29	points	point	NOUN
bibechana-62465	87	30	[	[	X
bibechana-62465	87	31	25	25	NUM
bibechana-62465	87	32	]	]	PUNCT
bibechana-62465	87	33	.	.	PUNCT
bibechana-62465	88	1	if	if	SCONJ
bibechana-62465	88	2	the	the	DET
bibechana-62465	88	3	true	true	ADJ
bibechana-62465	88	4	relationship	relationship	NOUN
bibechana-62465	88	5	between	between	ADP
bibechana-62465	88	6	the	the	DET
bibechana-62465	88	7	input	input	NOUN
bibechana-62465	88	8	feature	feature	NOUN
bibechana-62465	88	9	and	and	CCONJ
bibechana-62465	88	10	surface	surface	NOUN
bibechana-62465	88	11	area	area	NOUN
bibechana-62465	88	12	is	be	AUX
bibechana-62465	88	13	not	not	PART
bibechana-62465	88	14	linear	linear	ADJ
bibechana-62465	88	15	,	,	PUNCT
bibechana-62465	88	16	linear	linear	ADJ
bibechana-62465	88	17	regression	regression	NOUN
bibechana-62465	88	18	may	may	AUX
bibechana-62465	88	19	not	not	PART
bibechana-62465	88	20	capture	capture	VERB
bibechana-62465	88	21	it	it	PRON
bibechana-62465	88	22	.	.	PUNCT
bibechana-62465	89	1	the	the	DET
bibechana-62465	89	2	goal	goal	NOUN
bibechana-62465	89	3	of	of	ADP
bibechana-62465	89	4	linear	linear	ADJ
bibechana-62465	89	5	regression	regression	NOUN
bibechana-62465	89	6	is	be	AUX
bibechana-62465	89	7	to	to	PART
bibechana-62465	89	8	find	find	VERB
bibechana-62465	89	9	the	the	DET
bibechana-62465	89	10	coefficients	coefficient	NOUN
bibechana-62465	89	11	that	that	PRON
bibechana-62465	89	12	minimize	minimize	VERB
bibechana-62465	89	13	the	the	DET
bibechana-62465	89	14	sum	sum	NOUN
bibechana-62465	89	15	of	of	ADP
bibechana-62465	89	16	squared	square	VERB
bibechana-62465	89	17	differences	difference	NOUN
bibechana-62465	89	18	between	between	ADP
bibechana-62465	89	19	the	the	DET
bibechana-62465	89	20	predicted	predict	VERB
bibechana-62465	89	21	values	value	NOUN
bibechana-62465	89	22	and	and	CCONJ
bibechana-62465	89	23	the	the	DET
bibechana-62465	89	24	actual	actual	ADJ
bibechana-62465	89	25	values	value	NOUN
bibechana-62465	89	26	in	in	ADP
bibechana-62465	89	27	the	the	DET
bibechana-62465	89	28	training	training	NOUN
bibechana-62465	89	29	data	datum	NOUN
bibechana-62465	89	30	.	.	PUNCT
bibechana-62465	90	1	this	this	PRON
bibechana-62465	90	2	is	be	AUX
bibechana-62465	90	3	often	often	ADV
bibechana-62465	90	4	done	do	VERB
bibechana-62465	90	5	by	by	ADP
bibechana-62465	90	6	using	use	VERB
bibechana-62465	90	7	techniques	technique	NOUN
bibechana-62465	90	8	like	like	ADP
bibechana-62465	90	9	ordinary	ordinary	ADJ
bibechana-62465	90	10	least	least	ADJ
bibechana-62465	90	11	squares	square	NOUN
bibechana-62465	90	12	(	(	PUNCT
bibechana-62465	90	13	ols	ol	NOUN
bibechana-62465	90	14	)	)	PUNCT
bibechana-62465	90	15	or	or	CCONJ
bibechana-62465	90	16	gradient	gradient	ADJ
bibechana-62465	90	17	descent	descent	NOUN
bibechana-62465	91	1	[	[	X
bibechana-62465	91	2	26	26	NUM
bibechana-62465	91	3	]	]	PUNCT
bibechana-62465	91	4	.	.	PUNCT
bibechana-62465	92	1	ridge	ridge	PROPN
bibechana-62465	92	2	regression	regression	PROPN
bibechana-62465	92	3	ridge	ridge	PROPN
bibechana-62465	92	4	regression	regression	PROPN
bibechana-62465	92	5	,	,	PUNCT
bibechana-62465	92	6	a	a	DET
bibechana-62465	92	7	regularization	regularization	NOUN
bibechana-62465	92	8	method	method	NOUN
bibechana-62465	92	9	in	in	ADP
bibechana-62465	92	10	linear	linear	PROPN
bibechana-62465	92	11	regression	regression	NOUN
bibechana-62465	92	12	,	,	PUNCT
bibechana-62465	92	13	introduces	introduce	VERB
bibechana-62465	92	14	a	a	DET
bibechana-62465	92	15	penalty	penalty	NOUN
bibechana-62465	92	16	term	term	NOUN
bibechana-62465	92	17	based	base	VERB
bibechana-62465	92	18	on	on	ADP
bibechana-62465	92	19	the	the	DET
bibechana-62465	92	20	l2	l2	NOUN
bibechana-62465	92	21	norm	norm	NOUN
bibechana-62465	92	22	of	of	ADP
bibechana-62465	92	23	coefficients	coefficient	NOUN
bibechana-62465	92	24	to	to	PART
bibechana-62465	92	25	mitigate	mitigate	VERB
bibechana-62465	92	26	overfitting	overfitting	NOUN
bibechana-62465	92	27	and	and	CCONJ
bibechana-62465	92	28	multi	multi	NOUN
bibechana-62465	92	29	-	-	NOUN
bibechana-62465	92	30	collinearity	collinearity	NOUN
bibechana-62465	92	31	[	[	X
bibechana-62465	92	32	27	27	NUM
bibechana-62465	92	33	]	]	PUNCT
bibechana-62465	92	34	.	.	PUNCT
bibechana-62465	93	1	lasso	lasso	NOUN
bibechana-62465	93	2	regression	regression	NOUN
bibechana-62465	93	3	similar	similar	ADJ
bibechana-62465	93	4	to	to	ADP
bibechana-62465	93	5	ridge	ridge	NOUN
bibechana-62465	93	6	,	,	PUNCT
bibechana-62465	93	7	lasso	lasso	NOUN
bibechana-62465	93	8	adds	add	VERB
bibechana-62465	93	9	a	a	DET
bibechana-62465	93	10	penalty	penalty	NOUN
bibechana-62465	93	11	,	,	PUNCT
bibechana-62465	93	12	but	but	CCONJ
bibechana-62465	93	13	it	it	PRON
bibechana-62465	93	14	tends	tend	VERB
bibechana-62465	93	15	to	to	PART
bibechana-62465	93	16	create	create	VERB
bibechana-62465	93	17	simpler	simple	ADJ
bibechana-62465	93	18	models	model	NOUN
bibechana-62465	93	19	by	by	ADP
bibechana-62465	93	20	encouraging	encourage	VERB
bibechana-62465	93	21	some	some	DET
bibechana-62465	93	22	feature	feature	NOUN
bibechana-62465	93	23	contributions	contribution	NOUN
bibechana-62465	93	24	to	to	PART
bibechana-62465	93	25	become	become	VERB
bibechana-62465	93	26	zero	zero	NUM
bibechana-62465	93	27	.	.	PUNCT
bibechana-62465	94	1	both	both	DET
bibechana-62465	94	2	ridge	ridge	NOUN
bibechana-62465	94	3	and	and	CCONJ
bibechana-62465	94	4	lasso	lasso	NOUN
bibechana-62465	94	5	are	be	AUX
bibechana-62465	94	6	used	use	VERB
bibechana-62465	94	7	when	when	SCONJ
bibechana-62465	94	8	dealing	deal	VERB
bibechana-62465	94	9	with	with	ADP
bibechana-62465	94	10	multicollinear	multicollinear	ADJ
bibechana-62465	94	11	data	datum	NOUN
bibechana-62465	94	12	.	.	PUNCT
bibechana-62465	95	1	both	both	PRON
bibechana-62465	95	2	lasso	lasso	PROPN
bibechana-62465	95	3	and	and	CCONJ
bibechana-62465	95	4	ridge	ridge	NOUN
bibechana-62465	95	5	assume	assume	VERB
bibechana-62465	95	6	linearity	linearity	NOUN
bibechana-62465	95	7	and	and	CCONJ
bibechana-62465	95	8	independence	independence	NOUN
bibechana-62465	95	9	.	.	PUNCT
bibechana-62465	96	1	regularization	regularization	NOUN
bibechana-62465	96	2	helps	help	VERB
bibechana-62465	96	3	to	to	PART
bibechana-62465	96	4	mitigate	mitigate	VERB
bibechana-62465	96	5	overfitting	overfitting	NOUN
bibechana-62465	96	6	,	,	PUNCT
bibechana-62465	96	7	but	but	CCONJ
bibechana-62465	96	8	their	their	PRON
bibechana-62465	96	9	performance	performance	NOUN
bibechana-62465	96	10	depends	depend	VERB
bibechana-62465	96	11	on	on	ADP
bibechana-62465	96	12	the	the	DET
bibechana-62465	96	13	true	true	ADJ
bibechana-62465	96	14	underlying	underlying	ADJ
bibechana-62465	96	15	relationship	relationship	NOUN
bibechana-62465	96	16	[	[	X
bibechana-62465	96	17	28	28	NUM
bibechana-62465	96	18	]	]	PUNCT
bibechana-62465	96	19	.	.	PUNCT
bibechana-62465	97	1	decision	decision	NOUN
bibechana-62465	97	2	tree	tree	NOUN
bibechana-62465	97	3	regression	regression	NOUN
bibechana-62465	97	4	this	this	DET
bibechana-62465	97	5	method	method	NOUN
bibechana-62465	97	6	dissects	dissect	VERB
bibechana-62465	97	7	data	datum	NOUN
bibechana-62465	97	8	into	into	ADP
bibechana-62465	97	9	hierarchical	hierarchical	ADJ
bibechana-62465	97	10	decision	decision	NOUN
bibechana-62465	97	11	structures	structure	NOUN
bibechana-62465	97	12	to	to	PART
bibechana-62465	97	13	predict	predict	VERB
bibechana-62465	97	14	the	the	DET
bibechana-62465	97	15	target	target	NOUN
bibechana-62465	97	16	output	output	NOUN
bibechana-62465	97	17	.	.	PUNCT
bibechana-62465	98	1	a	a	DET
bibechana-62465	98	2	decision	decision	NOUN
bibechana-62465	98	3	tree	tree	NOUN
bibechana-62465	98	4	is	be	AUX
bibechana-62465	98	5	a	a	DET
bibechana-62465	98	6	widely	widely	ADV
bibechana-62465	98	7	used	use	VERB
bibechana-62465	98	8	machine	machine	NOUN
bibechana-62465	98	9	learning	learn	VERB
bibechana-62465	98	10	algorithm	algorithm	NOUN
bibechana-62465	98	11	for	for	ADP
bibechana-62465	98	12	both	both	CCONJ
bibechana-62465	98	13	classification	classification	NOUN
bibechana-62465	98	14	and	and	CCONJ
bibechana-62465	98	15	regression	regression	NOUN
bibechana-62465	98	16	tasks	task	NOUN
bibechana-62465	98	17	[	[	X
bibechana-62465	98	18	29	29	NUM
bibechana-62465	98	19	]	]	PUNCT
bibechana-62465	98	20	.	.	PUNCT
bibechana-62465	99	1	it	it	PRON
bibechana-62465	99	2	is	be	AUX
bibechana-62465	99	3	a	a	DET
bibechana-62465	99	4	tree	tree	NOUN
bibechana-62465	99	5	-	-	PUNCT
bibechana-62465	99	6	like	like	ADJ
bibechana-62465	99	7	model	model	NOUN
bibechana-62465	99	8	where	where	SCONJ
bibechana-62465	99	9	an	an	DET
bibechana-62465	99	10	input	input	NOUN
bibechana-62465	99	11	is	be	AUX
bibechana-62465	99	12	passed	pass	VERB
bibechana-62465	99	13	through	through	ADP
bibechana-62465	99	14	a	a	DET
bibechana-62465	99	15	series	series	NOUN
bibechana-62465	99	16	of	of	ADP
bibechana-62465	99	17	binary	binary	ADJ
bibechana-62465	99	18	decisions	decision	NOUN
bibechana-62465	99	19	based	base	VERB
bibechana-62465	99	20	on	on	ADP
bibechana-62465	99	21	the	the	DET
bibechana-62465	99	22	values	value	NOUN
bibechana-62465	99	23	of	of	ADP
bibechana-62465	99	24	its	its	PRON
bibechana-62465	99	25	features	feature	NOUN
bibechana-62465	99	26	.	.	PUNCT
bibechana-62465	100	1	each	each	DET
bibechana-62465	100	2	decision	decision	NOUN
bibechana-62465	100	3	node	node	NOUN
bibechana-62465	100	4	in	in	ADP
bibechana-62465	100	5	the	the	DET
bibechana-62465	100	6	tree	tree	NOUN
bibechana-62465	100	7	represents	represent	VERB
bibechana-62465	100	8	a	a	DET
bibechana-62465	100	9	feature	feature	NOUN
bibechana-62465	100	10	,	,	PUNCT
bibechana-62465	100	11	and	and	CCONJ
bibechana-62465	100	12	the	the	DET
bibechana-62465	100	13	branches	branch	NOUN
bibechana-62465	100	14	from	from	ADP
bibechana-62465	100	15	that	that	DET
bibechana-62465	100	16	node	node	NOUN
bibechana-62465	100	17	represents	represent	VERB
bibechana-62465	100	18	the	the	DET
bibechana-62465	100	19	possible	possible	ADJ
bibechana-62465	100	20	feature	feature	NOUN
bibechana-62465	100	21	values	value	NOUN
bibechana-62465	100	22	.	.	PUNCT
bibechana-62465	101	1	the	the	DET
bibechana-62465	101	2	leaf	leaf	NOUN
bibechana-62465	101	3	nodes	node	NOUN
bibechana-62465	101	4	of	of	ADP
bibechana-62465	101	5	the	the	DET
bibechana-62465	101	6	tree	tree	NOUN
bibechana-62465	101	7	contain	contain	VERB
bibechana-62465	101	8	the	the	DET
bibechana-62465	101	9	predicted	predict	VERB
bibechana-62465	101	10	output	output	NOUN
bibechana-62465	101	11	or	or	CCONJ
bibechana-62465	101	12	class	class	NOUN
bibechana-62465	101	13	.	.	PUNCT
bibechana-62465	102	1	when	when	SCONJ
bibechana-62465	102	2	a	a	DET
bibechana-62465	102	3	new	new	ADJ
bibechana-62465	102	4	input	input	NOUN
bibechana-62465	102	5	is	be	AUX
bibechana-62465	102	6	given	give	VERB
bibechana-62465	102	7	,	,	PUNCT
bibechana-62465	102	8	it	it	PRON
bibechana-62465	102	9	traverses	traverse	VERB
bibechana-62465	102	10	the	the	DET
bibechana-62465	102	11	tree	tree	NOUN
bibechana-62465	102	12	based	base	VERB
bibechana-62465	102	13	on	on	ADP
bibechana-62465	102	14	the	the	DET
bibechana-62465	102	15	feature	feature	NOUN
bibechana-62465	102	16	values	value	NOUN
bibechana-62465	102	17	,	,	PUNCT
bibechana-62465	102	18	following	follow	VERB
bibechana-62465	102	19	the	the	DET
bibechana-62465	102	20	decisions	decision	NOUN
bibechana-62465	102	21	at	at	ADP
bibechana-62465	102	22	each	each	DET
bibechana-62465	102	23	node	node	NOUN
bibechana-62465	102	24	,	,	PUNCT
bibechana-62465	102	25	and	and	CCONJ
bibechana-62465	102	26	finally	finally	ADV
bibechana-62465	102	27	arrives	arrive	VERB
bibechana-62465	102	28	at	at	ADP
bibechana-62465	102	29	a	a	DET
bibechana-62465	102	30	leaf	leaf	NOUN
bibechana-62465	102	31	node	node	NOUN
bibechana-62465	102	32	that	that	PRON
bibechana-62465	102	33	provides	provide	VERB
bibechana-62465	102	34	the	the	DET
bibechana-62465	102	35	predicted	predict	VERB
bibechana-62465	102	36	class	class	NOUN
bibechana-62465	102	37	(	(	PUNCT
bibechana-62465	102	38	classification	classification	NOUN
bibechana-62465	102	39	)	)	PUNCT
bibechana-62465	102	40	or	or	CCONJ
bibechana-62465	102	41	value	value	NOUN
bibechana-62465	102	42	(	(	PUNCT
bibechana-62465	102	43	regression	regression	NOUN
bibechana-62465	102	44	)	)	PUNCT
bibechana-62465	102	45	.	.	PUNCT
bibechana-62465	103	1	decision	decision	NOUN
bibechana-62465	103	2	trees	tree	NOUN
bibechana-62465	103	3	tend	tend	VERB
bibechana-62465	103	4	to	to	ADP
bibechana-62465	103	5	over	over	ADP
bibechana-62465	103	6	-	-	PUNCT
bibechana-62465	103	7	fit	fit	ADJ
bibechana-62465	103	8	noisy	noisy	ADJ
bibechana-62465	103	9	data	datum	NOUN
bibechana-62465	103	10	and	and	CCONJ
bibechana-62465	103	11	feature	feature	NOUN
bibechana-62465	103	12	importance	importance	NOUN
bibechana-62465	103	13	may	may	AUX
bibechana-62465	103	14	not	not	PART
bibechana-62465	103	15	accurately	accurately	ADV
bibechana-62465	103	16	reflect	reflect	VERB
bibechana-62465	103	17	the	the	DET
bibechana-62465	103	18	true	true	ADJ
bibechana-62465	103	19	kirti	kirti	PROPN
bibechana-62465	103	20	bir	bir	PROPN
bibechana-62465	103	21	rajguru	rajguru	PROPN
bibechana-62465	103	22	et	et	PROPN
bibechana-62465	104	1	al./	al./	ADV
bibechana-62465	104	2	bibechana	bibechana	PROPN
bibechana-62465	104	3	21	21	NUM
bibechana-62465	104	4	(	(	PUNCT
bibechana-62465	104	5	2024	2024	NUM
bibechana-62465	104	6	)	)	PUNCT
bibechana-62465	104	7	159	159	NUM
bibechana-62465	104	8	-	-	SYM
bibechana-62465	104	9	170	170	NUM
bibechana-62465	104	10	163	163	NUM
bibechana-62465	104	11	relevant	relevant	ADJ
bibechana-62465	104	12	features	feature	NOUN
bibechana-62465	104	13	of	of	ADP
bibechana-62465	104	14	data	datum	NOUN
bibechana-62465	104	15	.	.	PUNCT
bibechana-62465	105	1	random	random	ADJ
bibechana-62465	105	2	forest	forest	NOUN
bibechana-62465	105	3	regression	regression	NOUN
bibechana-62465	105	4	an	an	DET
bibechana-62465	105	5	ensemble	ensemble	ADJ
bibechana-62465	105	6	technique	technique	NOUN
bibechana-62465	105	7	constructs	construct	VERB
bibechana-62465	105	8	multiple	multiple	ADJ
bibechana-62465	105	9	decision	decision	NOUN
bibechana-62465	105	10	trees	tree	NOUN
bibechana-62465	105	11	and	and	CCONJ
bibechana-62465	105	12	averages	average	NOUN
bibechana-62465	105	13	their	their	PRON
bibechana-62465	105	14	predictions	prediction	NOUN
bibechana-62465	105	15	,	,	PUNCT
bibechana-62465	105	16	by	by	ADP
bibechana-62465	105	17	enhancing	enhance	VERB
bibechana-62465	105	18	accuracy	accuracy	NOUN
bibechana-62465	105	19	and	and	CCONJ
bibechana-62465	105	20	avoiding	avoid	VERB
bibechana-62465	105	21	overfitting	overfitte	VERB
bibechana-62465	105	22	.	.	PUNCT
bibechana-62465	106	1	random	random	ADJ
bibechana-62465	106	2	forest	forest	NOUN
bibechana-62465	106	3	is	be	AUX
bibechana-62465	106	4	a	a	DET
bibechana-62465	106	5	machine	machine	NOUN
bibechana-62465	106	6	learning	learn	VERB
bibechana-62465	106	7	algorithm	algorithm	NOUN
bibechana-62465	106	8	used	use	VERB
bibechana-62465	106	9	for	for	ADP
bibechana-62465	106	10	both	both	CCONJ
bibechana-62465	106	11	classification	classification	NOUN
bibechana-62465	106	12	and	and	CCONJ
bibechana-62465	106	13	regression	regression	NOUN
bibechana-62465	106	14	tasks	task	NOUN
bibechana-62465	106	15	.	.	PUNCT
bibechana-62465	107	1	it	it	PRON
bibechana-62465	107	2	is	be	AUX
bibechana-62465	107	3	an	an	DET
bibechana-62465	107	4	ensemble	ensemble	ADJ
bibechana-62465	107	5	method	method	NOUN
bibechana-62465	107	6	that	that	PRON
bibechana-62465	107	7	builds	build	VERB
bibechana-62465	107	8	multiple	multiple	ADJ
bibechana-62465	107	9	decision	decision	NOUN
bibechana-62465	107	10	trees	tree	NOUN
bibechana-62465	107	11	during	during	ADP
bibechana-62465	107	12	training	training	NOUN
bibechana-62465	107	13	and	and	CCONJ
bibechana-62465	107	14	combines	combine	VERB
bibechana-62465	107	15	their	their	PRON
bibechana-62465	107	16	outputs	output	NOUN
bibechana-62465	107	17	to	to	PART
bibechana-62465	107	18	make	make	VERB
bibechana-62465	107	19	predictions	prediction	NOUN
bibechana-62465	107	20	.	.	PUNCT
bibechana-62465	108	1	by	by	ADP
bibechana-62465	108	2	introducing	introduce	VERB
bibechana-62465	108	3	randomness	randomness	NOUN
bibechana-62465	108	4	in	in	ADP
bibechana-62465	108	5	tree	tree	NOUN
bibechana-62465	108	6	construction	construction	NOUN
bibechana-62465	108	7	and	and	CCONJ
bibechana-62465	108	8	feature	feature	NOUN
bibechana-62465	108	9	selection	selection	NOUN
bibechana-62465	108	10	,	,	PUNCT
bibechana-62465	108	11	random	random	ADJ
bibechana-62465	108	12	forest	forest	NOUN
bibechana-62465	108	13	reduces	reduce	VERB
bibechana-62465	108	14	overfitting	overfitte	VERB
bibechana-62465	108	15	and	and	CCONJ
bibechana-62465	108	16	improves	improve	VERB
bibechana-62465	108	17	generalization	generalization	NOUN
bibechana-62465	108	18	.	.	PUNCT
bibechana-62465	109	1	it	it	PRON
bibechana-62465	109	2	is	be	AUX
bibechana-62465	109	3	a	a	DET
bibechana-62465	109	4	powerful	powerful	ADJ
bibechana-62465	109	5	and	and	CCONJ
bibechana-62465	109	6	versatile	versatile	ADJ
bibechana-62465	109	7	algorithm	algorithm	NOUN
bibechana-62465	109	8	often	often	ADV
bibechana-62465	109	9	used	use	VERB
bibechana-62465	109	10	for	for	ADP
bibechana-62465	109	11	complex	complex	ADJ
bibechana-62465	109	12	datasets	dataset	NOUN
bibechana-62465	109	13	and	and	CCONJ
bibechana-62465	109	14	can	can	AUX
bibechana-62465	109	15	provide	provide	VERB
bibechana-62465	109	16	valuable	valuable	ADJ
bibechana-62465	109	17	insights	insight	NOUN
bibechana-62465	109	18	into	into	ADP
bibechana-62465	109	19	feature	feature	NOUN
bibechana-62465	109	20	importance	importance	NOUN
bibechana-62465	109	21	.	.	PUNCT
bibechana-62465	110	1	random	random	ADJ
bibechana-62465	110	2	forests	forest	NOUN
bibechana-62465	110	3	addresses	address	NOUN
bibechana-62465	110	4	decision	decision	VERB
bibechana-62465	110	5	tree	tree	NOUN
bibechana-62465	110	6	limitations	limitation	NOUN
bibechana-62465	110	7	by	by	ADP
bibechana-62465	110	8	averaging	average	VERB
bibechana-62465	110	9	predictions	prediction	NOUN
bibechana-62465	110	10	across	across	ADP
bibechana-62465	110	11	multiple	multiple	ADJ
bibechana-62465	110	12	trees	tree	NOUN
bibechana-62465	110	13	.	.	PUNCT
bibechana-62465	111	1	they	they	PRON
bibechana-62465	111	2	handle	handle	VERB
bibechana-62465	111	3	non	non	ADJ
bibechana-62465	111	4	-	-	ADJ
bibechana-62465	111	5	linearites	linearite	NOUN
bibechana-62465	111	6	better	well	ADV
bibechana-62465	111	7	but	but	CCONJ
bibechana-62465	111	8	may	may	AUX
bibechana-62465	111	9	still	still	ADV
bibechana-62465	111	10	struggle	struggle	VERB
bibechana-62465	111	11	with	with	ADP
bibechana-62465	111	12	subtle	subtle	ADJ
bibechana-62465	111	13	relationships	relationship	NOUN
bibechana-62465	111	14	[	[	X
bibechana-62465	111	15	30	30	NUM
bibechana-62465	111	16	]	]	PUNCT
bibechana-62465	111	17	.	.	PUNCT
bibechana-62465	112	1	support	support	NOUN
bibechana-62465	112	2	vector	vector	NOUN
bibechana-62465	112	3	regression	regression	NOUN
bibechana-62465	112	4	(	(	PUNCT
bibechana-62465	112	5	svr	svr	PROPN
bibechana-62465	112	6	)	)	PUNCT
bibechana-62465	112	7	support	support	NOUN
bibechana-62465	112	8	vector	vector	NOUN
bibechana-62465	112	9	regression	regression	NOUN
bibechana-62465	112	10	is	be	AUX
bibechana-62465	112	11	to	to	PART
bibechana-62465	112	12	used	use	VERB
bibechana-62465	112	13	determine	determine	VERB
bibechana-62465	112	14	a	a	DET
bibechana-62465	112	15	regression	regression	NOUN
bibechana-62465	112	16	line	line	NOUN
bibechana-62465	112	17	that	that	PRON
bibechana-62465	112	18	best	good	ADJ
bibechana-62465	112	19	suits	suit	VERB
bibechana-62465	112	20	the	the	DET
bibechana-62465	112	21	data	datum	NOUN
bibechana-62465	112	22	,	,	PUNCT
bibechana-62465	112	23	allowing	allow	VERB
bibechana-62465	112	24	some	some	DET
bibechana-62465	112	25	flexibility	flexibility	NOUN
bibechana-62465	112	26	around	around	ADP
bibechana-62465	112	27	the	the	DET
bibechana-62465	112	28	line	line	NOUN
bibechana-62465	112	29	.	.	PUNCT
bibechana-62465	113	1	support	support	NOUN
bibechana-62465	113	2	vector	vector	NOUN
bibechana-62465	113	3	regression	regression	NOUN
bibechana-62465	113	4	(	(	PUNCT
bibechana-62465	113	5	svr	svr	PROPN
bibechana-62465	113	6	)	)	PUNCT
bibechana-62465	113	7	is	be	AUX
bibechana-62465	113	8	a	a	DET
bibechana-62465	113	9	machine	machine	NOUN
bibechana-62465	113	10	learning	learn	VERB
bibechana-62465	113	11	algorithm	algorithm	NOUN
bibechana-62465	113	12	that	that	PRON
bibechana-62465	113	13	is	be	AUX
bibechana-62465	113	14	used	use	VERB
bibechana-62465	113	15	for	for	ADP
bibechana-62465	113	16	regression	regression	NOUN
bibechana-62465	113	17	tasks	task	NOUN
bibechana-62465	113	18	.	.	PUNCT
bibechana-62465	114	1	it	it	PRON
bibechana-62465	114	2	is	be	AUX
bibechana-62465	114	3	an	an	DET
bibechana-62465	114	4	extension	extension	NOUN
bibechana-62465	114	5	of	of	ADP
bibechana-62465	114	6	support	support	NOUN
bibechana-62465	114	7	vector	vector	NOUN
bibechana-62465	114	8	machines	machine	NOUN
bibechana-62465	114	9	(	(	PUNCT
bibechana-62465	114	10	svm	svm	PROPN
bibechana-62465	114	11	)	)	PUNCT
bibechana-62465	114	12	and	and	CCONJ
bibechana-62465	114	13	is	be	AUX
bibechana-62465	114	14	particularly	particularly	ADV
bibechana-62465	114	15	useful	useful	ADJ
bibechana-62465	114	16	while	while	SCONJ
bibechana-62465	114	17	dealing	deal	VERB
bibechana-62465	114	18	with	with	ADP
bibechana-62465	114	19	continuous	continuous	ADJ
bibechana-62465	114	20	or	or	CCONJ
bibechana-62465	114	21	numeric	numeric	ADJ
bibechana-62465	114	22	target	target	NOUN
bibechana-62465	114	23	variables	variable	NOUN
bibechana-62465	114	24	.	.	PUNCT
bibechana-62465	115	1	svr	svr	PROPN
bibechana-62465	115	2	works	work	VERB
bibechana-62465	115	3	by	by	ADP
bibechana-62465	115	4	finding	find	VERB
bibechana-62465	115	5	a	a	DET
bibechana-62465	115	6	hyperplane	hyperplane	NOUN
bibechana-62465	115	7	that	that	PRON
bibechana-62465	115	8	best	well	ADV
bibechana-62465	115	9	fits	fit	VERB
bibechana-62465	115	10	the	the	DET
bibechana-62465	115	11	data	data	NOUN
bibechana-62465	115	12	points	point	NOUN
bibechana-62465	115	13	which	which	PRON
bibechana-62465	115	14	minimizes	minimize	VERB
bibechana-62465	115	15	the	the	DET
bibechana-62465	115	16	error	error	NOUN
bibechana-62465	115	17	within	within	ADP
bibechana-62465	115	18	a	a	DET
bibechana-62465	115	19	certain	certain	ADJ
bibechana-62465	115	20	margin.svr	margin.svr	X
bibechana-62465	115	21	uses	use	VERB
bibechana-62465	115	22	different	different	ADJ
bibechana-62465	115	23	kernel	kernel	NOUN
bibechana-62465	115	24	functions	function	NOUN
bibechana-62465	115	25	(	(	PUNCT
bibechana-62465	115	26	such	such	ADJ
bibechana-62465	115	27	as	as	ADP
bibechana-62465	115	28	linear	linear	ADJ
bibechana-62465	115	29	,	,	PUNCT
bibechana-62465	115	30	polynomial	polynomial	ADJ
bibechana-62465	115	31	,	,	PUNCT
bibechana-62465	115	32	radial	radial	ADJ
bibechana-62465	115	33	basis	basis	NOUN
bibechana-62465	115	34	function	function	NOUN
bibechana-62465	115	35	,	,	PUNCT
bibechana-62465	115	36	etc	etc	X
bibechana-62465	115	37	.	.	X
bibechana-62465	115	38	)	)	PUNCT
bibechana-62465	115	39	to	to	PART
bibechana-62465	115	40	map	map	VERB
bibechana-62465	115	41	the	the	DET
bibechana-62465	115	42	input	input	NOUN
bibechana-62465	115	43	data	datum	NOUN
bibechana-62465	115	44	into	into	ADP
bibechana-62465	115	45	a	a	DET
bibechana-62465	115	46	higher	high	ADJ
bibechana-62465	115	47	dimensional	dimensional	ADJ
bibechana-62465	115	48	space	space	NOUN
bibechana-62465	115	49	,	,	PUNCT
bibechana-62465	115	50	which	which	PRON
bibechana-62465	115	51	can	can	AUX
bibechana-62465	115	52	help	help	VERB
bibechana-62465	115	53	to	to	PART
bibechana-62465	115	54	capture	capture	VERB
bibechana-62465	115	55	complex	complex	ADJ
bibechana-62465	115	56	relationship	relationship	NOUN
bibechana-62465	115	57	between	between	ADP
bibechana-62465	115	58	variables	variable	NOUN
bibechana-62465	115	59	.	.	PUNCT
bibechana-62465	116	1	svr	svr	PROPN
bibechana-62465	116	2	can	can	AUX
bibechana-62465	116	3	model	model	VERB
bibechana-62465	116	4	non	non	ADJ
bibechana-62465	116	5	-	-	ADJ
bibechana-62465	116	6	linear	linear	ADJ
bibechana-62465	116	7	relationships	relationship	NOUN
bibechana-62465	116	8	effectively	effectively	ADV
bibechana-62465	116	9	.	.	PUNCT
bibechana-62465	117	1	the	the	DET
bibechana-62465	117	2	choice	choice	NOUN
bibechana-62465	117	3	of	of	ADP
bibechana-62465	117	4	kernel	kernel	PROPN
bibechana-62465	117	5	function	function	PROPN
bibechana-62465	117	6	impacts	impact	VERB
bibechana-62465	117	7	the	the	DET
bibechana-62465	117	8	performance	performance	NOUN
bibechana-62465	117	9	[	[	X
bibechana-62465	117	10	31	31	NUM
bibechana-62465	117	11	]	]	PUNCT
bibechana-62465	117	12	.	.	PUNCT
bibechana-62465	118	1	gradient	gradient	ADJ
bibechana-62465	118	2	boosting	boost	VERB
bibechana-62465	118	3	regression	regression	NOUN
bibechana-62465	118	4	an	an	DET
bibechana-62465	118	5	ensemble	ensemble	ADJ
bibechana-62465	118	6	strategy	strategy	NOUN
bibechana-62465	118	7	that	that	PRON
bibechana-62465	118	8	sequentially	sequentially	ADV
bibechana-62465	118	9	builds	build	VERB
bibechana-62465	118	10	weak	weak	ADJ
bibechana-62465	118	11	learners	learner	NOUN
bibechana-62465	118	12	,	,	PUNCT
bibechana-62465	118	13	with	with	ADP
bibechana-62465	118	14	each	each	DET
bibechana-62465	118	15	one	one	NUM
bibechana-62465	118	16	rectifying	rectify	VERB
bibechana-62465	118	17	the	the	DET
bibechana-62465	118	18	errors	error	NOUN
bibechana-62465	118	19	of	of	ADP
bibechana-62465	118	20	its	its	PRON
bibechana-62465	118	21	predecessor	predecessor	NOUN
bibechana-62465	118	22	.	.	PUNCT
bibechana-62465	119	1	gradient	gradient	ADJ
bibechana-62465	119	2	boosting	boost	VERB
bibechana-62465	119	3	adapts	adapt	VERB
bibechana-62465	119	4	well	well	ADV
bibechana-62465	119	5	to	to	ADP
bibechana-62465	119	6	complex	complex	ADJ
bibechana-62465	119	7	patterns	pattern	NOUN
bibechana-62465	119	8	but	but	CCONJ
bibechana-62465	119	9	might	might	AUX
bibechana-62465	119	10	over	over	ADP
bibechana-62465	119	11	fit	fit	ADJ
bibechana-62465	119	12	if	if	SCONJ
bibechana-62465	119	13	not	not	PART
bibechana-62465	119	14	tuned	tune	VERB
bibechana-62465	119	15	properly	properly	ADV
bibechana-62465	119	16	.	.	PUNCT
bibechana-62465	120	1	cat	cat	NOUN
bibechana-62465	120	2	boost	boost	VERB
bibechana-62465	120	3	regression	regression	NOUN
bibechana-62465	120	4	a	a	DET
bibechana-62465	120	5	gradient	gradient	NOUN
bibechana-62465	120	6	boosting	boost	VERB
bibechana-62465	120	7	algorithm	algorithm	NOUN
bibechana-62465	120	8	proficient	proficient	ADJ
bibechana-62465	120	9	in	in	ADP
bibechana-62465	120	10	handling	handle	VERB
bibechana-62465	120	11	categorical	categorical	ADJ
bibechana-62465	120	12	features	feature	NOUN
bibechana-62465	120	13	;	;	PUNCT
bibechana-62465	120	14	can	can	AUX
bibechana-62465	120	15	be	be	AUX
bibechana-62465	120	16	configured	configure	VERB
bibechana-62465	120	17	to	to	PART
bibechana-62465	120	18	run	run	VERB
bibechana-62465	120	19	without	without	ADP
bibechana-62465	120	20	displaying	display	VERB
bibechana-62465	120	21	training	training	NOUN
bibechana-62465	120	22	progress	progress	NOUN
bibechana-62465	120	23	.	.	PUNCT
bibechana-62465	121	1	cat	cat	NOUN
bibechana-62465	121	2	boost	boost	NOUN
bibechana-62465	121	3	is	be	AUX
bibechana-62465	121	4	a	a	DET
bibechana-62465	121	5	gradient	gradient	ADJ
bibechana-62465	121	6	boosting	boost	VERB
bibechana-62465	121	7	machine	machine	NOUN
bibechana-62465	121	8	learning	learning	NOUN
bibechana-62465	121	9	algorithm	algorithm	NOUN
bibechana-62465	121	10	which	which	PRON
bibechana-62465	121	11	particularly	particularly	ADV
bibechana-62465	121	12	well	well	ADV
bibechana-62465	121	13	suits	suit	NOUN
bibechana-62465	121	14	for	for	ADP
bibechana-62465	121	15	categorical	categorical	ADJ
bibechana-62465	121	16	features	feature	NOUN
bibechana-62465	121	17	.	.	PUNCT
bibechana-62465	122	1	it	it	PRON
bibechana-62465	122	2	stands	stand	VERB
bibechana-62465	122	3	for	for	ADP
bibechana-62465	122	4	"	"	PUNCT
bibechana-62465	122	5	categorical	categorical	ADJ
bibechana-62465	122	6	boosting	boosting	NOUN
bibechana-62465	122	7	.	.	PUNCT
bibechana-62465	122	8	"	"	PUNCT
bibechana-62465	123	1	similar	similar	ADJ
bibechana-62465	123	2	to	to	ADP
bibechana-62465	123	3	other	other	ADJ
bibechana-62465	123	4	gradient	gradient	ADJ
bibechana-62465	123	5	boosting	boost	VERB
bibechana-62465	123	6	methods	method	NOUN
bibechana-62465	123	7	,	,	PUNCT
bibechana-62465	123	8	cat	cat	NOUN
bibechana-62465	123	9	boost	boost	NOUN
bibechana-62465	123	10	also	also	ADV
bibechana-62465	123	11	builds	build	VERB
bibechana-62465	123	12	an	an	DET
bibechana-62465	123	13	ensemble	ensemble	NOUN
bibechana-62465	123	14	of	of	ADP
bibechana-62465	123	15	decision	decision	NOUN
bibechana-62465	123	16	trees	tree	NOUN
bibechana-62465	123	17	to	to	PART
bibechana-62465	123	18	make	make	VERB
bibechana-62465	123	19	predictions	prediction	NOUN
bibechana-62465	123	20	.	.	PUNCT
bibechana-62465	124	1	cat	cat	NOUN
bibechana-62465	124	2	boost	boost	NOUN
bibechana-62465	124	3	also	also	ADV
bibechana-62465	124	4	includes	include	VERB
bibechana-62465	124	5	features	feature	NOUN
bibechana-62465	124	6	like	like	ADP
bibechana-62465	124	7	automatic	automatic	ADJ
bibechana-62465	124	8	handling	handling	NOUN
bibechana-62465	124	9	of	of	ADP
bibechana-62465	124	10	missing	miss	VERB
bibechana-62465	124	11	values	value	NOUN
bibechana-62465	124	12	,	,	PUNCT
bibechana-62465	124	13	built	build	VERB
bibechana-62465	124	14	-	-	PUNCT
bibechana-62465	124	15	in	in	ADP
bibechana-62465	124	16	cross	cross	NOUN
bibechana-62465	124	17	validation	validation	NOUN
bibechana-62465	124	18	,	,	PUNCT
bibechana-62465	124	19	and	and	CCONJ
bibechana-62465	124	20	the	the	DET
bibechana-62465	124	21	ability	ability	NOUN
bibechana-62465	124	22	to	to	PART
bibechana-62465	124	23	monitor	monitor	VERB
bibechana-62465	124	24	training	training	NOUN
bibechana-62465	124	25	progress	progress	NOUN
bibechana-62465	124	26	.	.	PUNCT
bibechana-62465	125	1	it	it	PRON
bibechana-62465	125	2	has	have	AUX
bibechana-62465	125	3	gained	gain	VERB
bibechana-62465	125	4	popularity	popularity	NOUN
bibechana-62465	125	5	for	for	ADP
bibechana-62465	125	6	its	its	PRON
bibechana-62465	125	7	ease	ease	NOUN
bibechana-62465	125	8	of	of	ADP
bibechana-62465	125	9	use	use	NOUN
bibechana-62465	125	10	,	,	PUNCT
bibechana-62465	125	11	efficiency	efficiency	NOUN
bibechana-62465	125	12	,	,	PUNCT
bibechana-62465	125	13	and	and	CCONJ
bibechana-62465	125	14	competitive	competitive	ADJ
bibechana-62465	125	15	performance	performance	NOUN
bibechana-62465	125	16	on	on	ADP
bibechana-62465	125	17	various	various	ADJ
bibechana-62465	125	18	machine	machine	NOUN
bibechana-62465	125	19	learning	learning	NOUN
bibechana-62465	125	20	tasks	task	NOUN
bibechana-62465	125	21	[	[	X
bibechana-62465	125	22	32	32	NUM
bibechana-62465	125	23	]	]	PUNCT
bibechana-62465	125	24	.	.	PUNCT
bibechana-62465	126	1	xg	xg	PROPN
bibechana-62465	126	2	boost	boost	PROPN
bibechana-62465	126	3	regression	regression	NOUN
bibechana-62465	126	4	another	another	DET
bibechana-62465	126	5	robust	robust	ADJ
bibechana-62465	126	6	gradient	gradient	NOUN
bibechana-62465	126	7	boosting	boost	VERB
bibechana-62465	126	8	algorithm	algorithm	NOUN
bibechana-62465	126	9	designed	design	VERB
bibechana-62465	126	10	to	to	PART
bibechana-62465	126	11	overcome	overcome	VERB
bibechana-62465	126	12	limitations	limitation	NOUN
bibechana-62465	126	13	of	of	ADP
bibechana-62465	126	14	traditional	traditional	ADJ
bibechana-62465	126	15	gradient	gradient	NOUN
bibechana-62465	126	16	boosting	boosting	NOUN
bibechana-62465	126	17	.	.	PUNCT
bibechana-62465	127	1	it	it	PRON
bibechana-62465	127	2	is	be	AUX
bibechana-62465	127	3	important	important	ADJ
bibechana-62465	127	4	to	to	PART
bibechana-62465	127	5	assess	assess	VERB
bibechana-62465	127	6	dataset	dataset	ADJ
bibechana-62465	127	7	size	size	NOUN
bibechana-62465	127	8	,	,	PUNCT
bibechana-62465	127	9	feature	feature	NOUN
bibechana-62465	127	10	complexity	complexity	NOUN
bibechana-62465	127	11	,	,	PUNCT
bibechana-62465	127	12	interpretability	interpretability	NOUN
bibechana-62465	127	13	,	,	PUNCT
bibechana-62465	127	14	and	and	CCONJ
bibechana-62465	127	15	computational	computational	ADJ
bibechana-62465	127	16	resources	resource	NOUN
bibechana-62465	127	17	while	while	SCONJ
bibechana-62465	127	18	choosing	choose	VERB
bibechana-62465	127	19	the	the	DET
bibechana-62465	127	20	most	most	ADV
bibechana-62465	127	21	suitable	suitable	ADJ
bibechana-62465	127	22	algorithm	algorithm	NOUN
bibechana-62465	127	23	for	for	ADP
bibechana-62465	127	24	research	research	NOUN
bibechana-62465	127	25	paper	paper	NOUN
bibechana-62465	127	26	.	.	PUNCT
bibechana-62465	128	1	2.2.4	2.2.4	NUM
bibechana-62465	128	2	model	model	NOUN
bibechana-62465	128	3	evaluation	evaluation	NOUN
bibechana-62465	128	4	in	in	ADP
bibechana-62465	128	5	this	this	DET
bibechana-62465	128	6	research	research	NOUN
bibechana-62465	128	7	,	,	PUNCT
bibechana-62465	128	8	a	a	DET
bibechana-62465	128	9	comprehensive	comprehensive	ADJ
bibechana-62465	128	10	evaluation	evaluation	NOUN
bibechana-62465	128	11	of	of	ADP
bibechana-62465	128	12	the	the	DET
bibechana-62465	128	13	model	model	NOUN
bibechana-62465	128	14	’s	’s	PART
bibechana-62465	128	15	performance	performance	NOUN
bibechana-62465	128	16	is	be	AUX
bibechana-62465	128	17	carried	carry	VERB
bibechana-62465	128	18	out	out	ADP
bibechana-62465	128	19	to	to	PART
bibechana-62465	128	20	assess	assess	VERB
bibechana-62465	128	21	its	its	PRON
bibechana-62465	128	22	generalizability	generalizability	NOUN
bibechana-62465	128	23	and	and	CCONJ
bibechana-62465	128	24	stability	stability	NOUN
bibechana-62465	128	25	.	.	PUNCT
bibechana-62465	129	1	the	the	DET
bibechana-62465	129	2	technique	technique	NOUN
bibechana-62465	129	3	of	of	ADP
bibechana-62465	129	4	crossvalidation	crossvalidation	NOUN
bibechana-62465	129	5	is	be	AUX
bibechana-62465	129	6	employed	employ	VERB
bibechana-62465	129	7	,	,	PUNCT
bibechana-62465	129	8	which	which	PRON
bibechana-62465	129	9	involves	involve	VERB
bibechana-62465	129	10	partitioning	partition	VERB
bibechana-62465	129	11	the	the	DET
bibechana-62465	129	12	dataset	dataset	NOUN
bibechana-62465	129	13	into	into	ADP
bibechana-62465	129	14	subsets	subset	NOUN
bibechana-62465	129	15	for	for	ADP
bibechana-62465	129	16	both	both	DET
bibechana-62465	129	17	training	training	NOUN
bibechana-62465	129	18	and	and	CCONJ
bibechana-62465	129	19	validation	validation	NOUN
bibechana-62465	129	20	purposes	purpose	NOUN
bibechana-62465	129	21	.	.	PUNCT
bibechana-62465	130	1	this	this	PRON
bibechana-62465	130	2	allows	allow	VERB
bibechana-62465	130	3	us	we	PRON
bibechana-62465	130	4	to	to	PART
bibechana-62465	130	5	test	test	VERB
bibechana-62465	130	6	the	the	DET
bibechana-62465	130	7	model	model	NOUN
bibechana-62465	130	8	’s	’s	PART
bibechana-62465	130	9	ability	ability	NOUN
bibechana-62465	130	10	to	to	PART
bibechana-62465	130	11	perform	perform	VERB
bibechana-62465	130	12	consistently	consistently	ADV
bibechana-62465	130	13	across	across	ADP
bibechana-62465	130	14	different	different	ADJ
bibechana-62465	130	15	subsets	subset	NOUN
bibechana-62465	130	16	of	of	ADP
bibechana-62465	130	17	data	datum	NOUN
bibechana-62465	130	18	,	,	PUNCT
bibechana-62465	130	19	ensuring	ensure	VERB
bibechana-62465	130	20	that	that	SCONJ
bibechana-62465	130	21	it	it	PRON
bibechana-62465	130	22	can	can	AUX
bibechana-62465	130	23	handle	handle	VERB
bibechana-62465	130	24	a	a	DET
bibechana-62465	130	25	variety	variety	NOUN
bibechana-62465	130	26	of	of	ADP
bibechana-62465	130	27	scenarios	scenario	NOUN
bibechana-62465	130	28	effectively	effectively	ADV
bibechana-62465	130	29	.	.	PUNCT
bibechana-62465	131	1	to	to	PART
bibechana-62465	131	2	gauge	gauge	VERB
bibechana-62465	131	3	the	the	DET
bibechana-62465	131	4	accuracy	accuracy	NOUN
bibechana-62465	131	5	and	and	CCONJ
bibechana-62465	131	6	reliability	reliability	NOUN
bibechana-62465	131	7	of	of	ADP
bibechana-62465	131	8	the	the	DET
bibechana-62465	131	9	model	model	NOUN
bibechana-62465	131	10	,	,	PUNCT
bibechana-62465	131	11	appropriate	appropriate	ADJ
bibechana-62465	131	12	evaluation	evaluation	NOUN
bibechana-62465	131	13	methods	method	NOUN
bibechana-62465	131	14	are	be	AUX
bibechana-62465	131	15	applied	apply	VERB
bibechana-62465	131	16	.	.	PUNCT
bibechana-62465	132	1	these	these	DET
bibechana-62465	132	2	methods	method	NOUN
bibechana-62465	132	3	could	could	AUX
bibechana-62465	132	4	encompass	encompass	VERB
bibechana-62465	132	5	metrics	metric	NOUN
bibechana-62465	132	6	such	such	ADJ
bibechana-62465	132	7	as	as	ADP
bibechana-62465	132	8	mean	mean	NOUN
bibechana-62465	132	9	squared	square	VERB
bibechana-62465	132	10	error	error	NOUN
bibechana-62465	132	11	(	(	PUNCT
bibechana-62465	132	12	mse	mse	NOUN
bibechana-62465	132	13	)	)	PUNCT
bibechana-62465	132	14	,	,	PUNCT
bibechana-62465	132	15	root	root	NOUN
bibechana-62465	132	16	mean	mean	VERB
bibechana-62465	132	17	squared	square	VERB
bibechana-62465	132	18	error	error	NOUN
bibechana-62465	132	19	(	(	PUNCT
bibechana-62465	132	20	rmse	rmse	NOUN
bibechana-62465	132	21	)	)	PUNCT
bibechana-62465	132	22	,	,	PUNCT
bibechana-62465	132	23	mean	mean	VERB
bibechana-62465	132	24	absolute	absolute	ADJ
bibechana-62465	132	25	error	error	NOUN
bibechana-62465	132	26	(	(	PUNCT
bibechana-62465	132	27	mae	mae	PROPN
bibechana-62465	132	28	)	)	PUNCT
bibechana-62465	132	29	,	,	PUNCT
bibechana-62465	132	30	and	and	CCONJ
bibechana-62465	132	31	possibly	possibly	ADV
bibechana-62465	132	32	more	more	ADJ
bibechana-62465	132	33	domain	domain	NOUN
bibechana-62465	132	34	specific	specific	ADJ
bibechana-62465	132	35	metrics	metric	NOUN
bibechana-62465	132	36	tailored	tailor	VERB
bibechana-62465	132	37	to	to	ADP
bibechana-62465	132	38	the	the	DET
bibechana-62465	132	39	nature	nature	NOUN
bibechana-62465	132	40	of	of	ADP
bibechana-62465	132	41	the	the	DET
bibechana-62465	132	42	dataset	dataset	NOUN
bibechana-62465	132	43	.	.	PUNCT
bibechana-62465	133	1	these	these	DET
bibechana-62465	133	2	metrics	metric	NOUN
bibechana-62465	133	3	collectively	collectively	ADV
bibechana-62465	133	4	offer	offer	VERB
bibechana-62465	133	5	insights	insight	NOUN
bibechana-62465	133	6	into	into	ADP
bibechana-62465	133	7	the	the	DET
bibechana-62465	133	8	model	model	NOUN
bibechana-62465	133	9	’s	’s	PART
bibechana-62465	133	10	predictive	predictive	ADJ
bibechana-62465	133	11	performance	performance	NOUN
bibechana-62465	133	12	and	and	CCONJ
bibechana-62465	133	13	its	its	PRON
bibechana-62465	133	14	closeness	closeness	NOUN
bibechana-62465	133	15	to	to	ADP
bibechana-62465	133	16	the	the	DET
bibechana-62465	133	17	actual	actual	ADJ
bibechana-62465	133	18	experimental	experimental	ADJ
bibechana-62465	133	19	data	datum	NOUN
bibechana-62465	133	20	[	[	X
bibechana-62465	133	21	33	33	NUM
bibechana-62465	133	22	]	]	PUNCT
bibechana-62465	133	23	a	a	DET
bibechana-62465	133	24	crucial	crucial	ADJ
bibechana-62465	133	25	aspect	aspect	NOUN
bibechana-62465	133	26	of	of	ADP
bibechana-62465	133	27	this	this	DET
bibechana-62465	133	28	analysis	analysis	NOUN
bibechana-62465	133	29	involves	involve	VERB
bibechana-62465	133	30	a	a	DET
bibechana-62465	133	31	comparison	comparison	NOUN
bibechana-62465	133	32	between	between	ADP
bibechana-62465	133	33	the	the	DET
bibechana-62465	133	34	actual	actual	ADJ
bibechana-62465	133	35	experimental	experimental	ADJ
bibechana-62465	133	36	data	datum	NOUN
bibechana-62465	133	37	and	and	CCONJ
bibechana-62465	133	38	the	the	DET
bibechana-62465	133	39	model	model	NOUN
bibechana-62465	133	40	’s	’s	PART
bibechana-62465	133	41	predicted	predict	VERB
bibechana-62465	133	42	values	value	NOUN
bibechana-62465	133	43	for	for	ADP
bibechana-62465	133	44	specific	specific	ADJ
bibechana-62465	133	45	characteristics	characteristic	NOUN
bibechana-62465	133	46	like	like	ADP
bibechana-62465	133	47	capacitance	capacitance	NOUN
bibechana-62465	133	48	,	,	PUNCT
bibechana-62465	133	49	surface	surface	NOUN
bibechana-62465	133	50	area	area	NOUN
bibechana-62465	133	51	,	,	PUNCT
bibechana-62465	133	52	mesopore	mesopore	NOUN
bibechana-62465	133	53	volume	volume	NOUN
bibechana-62465	133	54	,	,	PUNCT
bibechana-62465	133	55	micro	micro	X
bibechana-62465	133	56	pore	pore	ADJ
bibechana-62465	133	57	volume	volume	NOUN
bibechana-62465	133	58	,	,	PUNCT
bibechana-62465	133	59	and	and	CCONJ
bibechana-62465	133	60	total	total	ADJ
bibechana-62465	133	61	pore	pore	ADJ
bibechana-62465	133	62	volume	volume	NOUN
bibechana-62465	133	63	.	.	PUNCT
bibechana-62465	134	1	by	by	ADP
bibechana-62465	134	2	contrasting	contrast	VERB
bibechana-62465	134	3	these	these	DET
bibechana-62465	134	4	values	value	NOUN
bibechana-62465	134	5	,	,	PUNCT
bibechana-62465	134	6	researchers	researcher	NOUN
bibechana-62465	134	7	can	can	AUX
bibechana-62465	134	8	quantify	quantify	VERB
bibechana-62465	134	9	the	the	DET
bibechana-62465	134	10	model	model	NOUN
bibechana-62465	134	11	’s	’s	PART
bibechana-62465	134	12	accuracy	accuracy	NOUN
bibechana-62465	134	13	in	in	ADP
bibechana-62465	134	14	predicting	predict	VERB
bibechana-62465	134	15	intricate	intricate	ADJ
bibechana-62465	134	16	material	material	NOUN
bibechana-62465	134	17	properties	property	NOUN
bibechana-62465	134	18	.	.	PUNCT
bibechana-62465	135	1	the	the	DET
bibechana-62465	135	2	degree	degree	NOUN
bibechana-62465	135	3	of	of	ADP
bibechana-62465	135	4	agreement	agreement	NOUN
bibechana-62465	135	5	between	between	ADP
bibechana-62465	135	6	the	the	DET
bibechana-62465	135	7	predicted	predict	VERB
bibechana-62465	135	8	and	and	CCONJ
bibechana-62465	135	9	actual	actual	ADJ
bibechana-62465	135	10	values	value	NOUN
bibechana-62465	135	11	will	will	AUX
bibechana-62465	135	12	offer	offer	VERB
bibechana-62465	135	13	insights	insight	NOUN
bibechana-62465	135	14	into	into	ADP
bibechana-62465	135	15	the	the	DET
bibechana-62465	135	16	model	model	NOUN
bibechana-62465	135	17	’s	’s	PART
bibechana-62465	135	18	capability	capability	NOUN
bibechana-62465	135	19	to	to	PART
bibechana-62465	135	20	capture	capture	VERB
bibechana-62465	135	21	the	the	DET
bibechana-62465	135	22	underlying	underlie	VERB
bibechana-62465	135	23	relationships	relationship	NOUN
bibechana-62465	135	24	within	within	ADP
bibechana-62465	135	25	the	the	DET
bibechana-62465	135	26	data	datum	NOUN
bibechana-62465	135	27	.	.	PUNCT
bibechana-62465	136	1	in	in	ADP
bibechana-62465	136	2	the	the	DET
bibechana-62465	136	3	context	context	NOUN
bibechana-62465	136	4	of	of	ADP
bibechana-62465	136	5	terminalia	terminalia	PROPN
bibechana-62465	136	6	chebula	chebula	PROPN
bibechana-62465	136	7	seeds	seed	NOUN
bibechana-62465	136	8	,	,	PUNCT
bibechana-62465	136	9	the	the	DET
bibechana-62465	136	10	effectiveness	effectiveness	NOUN
bibechana-62465	136	11	of	of	ADP
bibechana-62465	136	12	the	the	DET
bibechana-62465	136	13	model	model	NOUN
bibechana-62465	136	14	in	in	ADP
bibechana-62465	136	15	predicting	predict	VERB
bibechana-62465	136	16	the	the	DET
bibechana-62465	136	17	material	material	NOUN
bibechana-62465	136	18	’s	’s	PART
bibechana-62465	136	19	characteristics	characteristic	NOUN
bibechana-62465	136	20	is	be	AUX
bibechana-62465	136	21	a	a	DET
bibechana-62465	136	22	focal	focal	ADJ
bibechana-62465	136	23	point	point	NOUN
bibechana-62465	136	24	of	of	ADP
bibechana-62465	136	25	analysis	analysis	NOUN
bibechana-62465	136	26	.	.	PUNCT
bibechana-62465	137	1	the	the	DET
bibechana-62465	137	2	findings	finding	NOUN
bibechana-62465	137	3	obtained	obtain	VERB
bibechana-62465	137	4	through	through	ADP
bibechana-62465	137	5	rigorous	rigorous	ADJ
bibechana-62465	137	6	evaluation	evaluation	NOUN
bibechana-62465	137	7	methods	method	NOUN
bibechana-62465	137	8	shed	shed	VERB
bibechana-62465	137	9	light	light	NOUN
bibechana-62465	137	10	on	on	ADP
bibechana-62465	137	11	how	how	SCONJ
bibechana-62465	137	12	well	well	ADV
bibechana-62465	137	13	the	the	DET
bibechana-62465	137	14	model	model	NOUN
bibechana-62465	137	15	can	can	AUX
bibechana-62465	137	16	capkirti	capkirti	VERB
bibechana-62465	137	17	bir	bir	PROPN
bibechana-62465	137	18	rajguru	rajguru	PROPN
bibechana-62465	137	19	et	et	PROPN
bibechana-62465	137	20	al./	al./	ADV
bibechana-62465	137	21	bibechana	bibechana	PROPN
bibechana-62465	137	22	21	21	NUM
bibechana-62465	137	23	(	(	PUNCT
bibechana-62465	137	24	2024	2024	NUM
bibechana-62465	137	25	)	)	PUNCT
bibechana-62465	137	26	159	159	NUM
bibechana-62465	137	27	-	-	SYM
bibechana-62465	137	28	170	170	NUM
bibechana-62465	137	29	164	164	NUM
bibechana-62465	137	30	ture	ture	NOUN
bibechana-62465	137	31	the	the	DET
bibechana-62465	137	32	nuanced	nuanced	ADJ
bibechana-62465	137	33	features	feature	NOUN
bibechana-62465	137	34	of	of	ADP
bibechana-62465	137	35	the	the	DET
bibechana-62465	137	36	activated	activate	VERB
bibechana-62465	137	37	carbon	carbon	NOUN
bibechana-62465	137	38	derived	derive	VERB
bibechana-62465	137	39	from	from	ADP
bibechana-62465	137	40	these	these	DET
bibechana-62465	137	41	seeds	seed	NOUN
bibechana-62465	137	42	.	.	PUNCT
bibechana-62465	138	1	researchers	researcher	NOUN
bibechana-62465	138	2	will	will	AUX
bibechana-62465	138	3	interpret	interpret	VERB
bibechana-62465	138	4	the	the	DET
bibechana-62465	138	5	results	result	NOUN
bibechana-62465	138	6	to	to	PART
bibechana-62465	138	7	discern	discern	VERB
bibechana-62465	138	8	the	the	DET
bibechana-62465	138	9	strengths	strength	NOUN
bibechana-62465	138	10	and	and	CCONJ
bibechana-62465	138	11	limitations	limitation	NOUN
bibechana-62465	138	12	of	of	ADP
bibechana-62465	138	13	the	the	DET
bibechana-62465	138	14	model	model	NOUN
bibechana-62465	138	15	in	in	ADP
bibechana-62465	138	16	reproducing	reproduce	VERB
bibechana-62465	138	17	the	the	DET
bibechana-62465	138	18	complex	complex	ADJ
bibechana-62465	138	19	properties	property	NOUN
bibechana-62465	138	20	of	of	ADP
bibechana-62465	138	21	the	the	DET
bibechana-62465	138	22	material	material	NOUN
bibechana-62465	138	23	.	.	PUNCT
bibechana-62465	139	1	this	this	DET
bibechana-62465	139	2	interpretation	interpretation	NOUN
bibechana-62465	139	3	forms	form	VERB
bibechana-62465	139	4	a	a	DET
bibechana-62465	139	5	critical	critical	ADJ
bibechana-62465	139	6	part	part	NOUN
bibechana-62465	139	7	of	of	ADP
bibechana-62465	139	8	the	the	DET
bibechana-62465	139	9	paper	paper	NOUN
bibechana-62465	139	10	,	,	PUNCT
bibechana-62465	139	11	as	as	SCONJ
bibechana-62465	139	12	it	it	PRON
bibechana-62465	139	13	guides	guide	VERB
bibechana-62465	139	14	the	the	DET
bibechana-62465	139	15	reader	reader	NOUN
bibechana-62465	139	16	in	in	ADP
bibechana-62465	139	17	understanding	understand	VERB
bibechana-62465	139	18	the	the	DET
bibechana-62465	139	19	implications	implication	NOUN
bibechana-62465	139	20	of	of	ADP
bibechana-62465	139	21	the	the	DET
bibechana-62465	139	22	study	study	NOUN
bibechana-62465	139	23	’s	’s	PART
bibechana-62465	139	24	outcomes	outcome	NOUN
bibechana-62465	139	25	and	and	CCONJ
bibechana-62465	139	26	its	its	PRON
bibechana-62465	139	27	broader	broad	ADJ
bibechana-62465	139	28	implications	implication	NOUN
bibechana-62465	139	29	for	for	ADP
bibechana-62465	139	30	the	the	DET
bibechana-62465	139	31	field	field	NOUN
bibechana-62465	139	32	.	.	PUNCT
bibechana-62465	140	1	catboost	catboost	VERB
bibechana-62465	140	2	and	and	CCONJ
bibechana-62465	140	3	xgboost	xgboost	ADV
bibechana-62465	140	4	combine	combine	VERB
bibechana-62465	140	5	ensemble	ensemble	ADJ
bibechana-62465	140	6	power	power	NOUN
bibechana-62465	140	7	with	with	ADP
bibechana-62465	140	8	categorical	categorical	ADJ
bibechana-62465	140	9	feature	feature	NOUN
bibechana-62465	140	10	handling	handling	NOUN
bibechana-62465	140	11	.	.	PUNCT
bibechana-62465	141	1	they	they	PRON
bibechana-62465	141	2	perform	perform	VERB
bibechana-62465	141	3	well	well	ADV
bibechana-62465	141	4	but	but	CCONJ
bibechana-62465	141	5	require	require	VERB
bibechana-62465	141	6	tuning	tune	VERB
bibechana-62465	141	7	[	[	X
bibechana-62465	141	8	34,35	34,35	NOUN
bibechana-62465	141	9	]	]	PUNCT
bibechana-62465	141	10	.	.	PUNCT
bibechana-62465	142	1	2.2.5	2.2.5	NUM
bibechana-62465	142	2	model	model	NOUN
bibechana-62465	142	3	evaluation	evaluation	NOUN
bibechana-62465	142	4	parameters	parameter	NOUN
bibechana-62465	142	5	in	in	ADP
bibechana-62465	142	6	the	the	DET
bibechana-62465	142	7	field	field	NOUN
bibechana-62465	142	8	of	of	ADP
bibechana-62465	142	9	predictive	predictive	ADJ
bibechana-62465	142	10	modeling	modeling	NOUN
bibechana-62465	142	11	and	and	CCONJ
bibechana-62465	142	12	statistical	statistical	ADJ
bibechana-62465	142	13	analysis	analysis	NOUN
bibechana-62465	142	14	,	,	PUNCT
bibechana-62465	142	15	the	the	DET
bibechana-62465	142	16	selection	selection	NOUN
bibechana-62465	142	17	of	of	ADP
bibechana-62465	142	18	appropriate	appropriate	ADJ
bibechana-62465	142	19	performance	performance	NOUN
bibechana-62465	142	20	metrics	metric	NOUN
bibechana-62465	142	21	is	be	AUX
bibechana-62465	142	22	of	of	ADP
bibechana-62465	142	23	paramount	paramount	ADJ
bibechana-62465	142	24	importance	importance	NOUN
bibechana-62465	142	25	.	.	PUNCT
bibechana-62465	143	1	this	this	DET
bibechana-62465	143	2	choice	choice	NOUN
bibechana-62465	143	3	determines	determine	VERB
bibechana-62465	143	4	how	how	SCONJ
bibechana-62465	143	5	effectively	effectively	ADV
bibechana-62465	143	6	a	a	DET
bibechana-62465	143	7	model	model	NOUN
bibechana-62465	143	8	’s	’s	PART
bibechana-62465	143	9	predictions	prediction	NOUN
bibechana-62465	143	10	are	be	AUX
bibechana-62465	143	11	evaluated	evaluate	VERB
bibechana-62465	143	12	and	and	CCONJ
bibechana-62465	143	13	compared	compare	VERB
bibechana-62465	143	14	against	against	ADP
bibechana-62465	143	15	actual	actual	ADJ
bibechana-62465	143	16	values	value	NOUN
bibechana-62465	143	17	.	.	PUNCT
bibechana-62465	144	1	four	four	NUM
bibechana-62465	144	2	commonly	commonly	ADV
bibechana-62465	144	3	employed	employ	VERB
bibechana-62465	144	4	metrics	metric	NOUN
bibechana-62465	144	5	for	for	ADP
bibechana-62465	144	6	this	this	DET
bibechana-62465	144	7	purpose	purpose	NOUN
bibechana-62465	144	8	are	be	AUX
bibechana-62465	144	9	mean	mean	NOUN
bibechana-62465	144	10	squared	square	VERB
bibechana-62465	144	11	error	error	NOUN
bibechana-62465	144	12	(	(	PUNCT
bibechana-62465	144	13	mse	mse	NOUN
bibechana-62465	144	14	)	)	PUNCT
bibechana-62465	144	15	,	,	PUNCT
bibechana-62465	144	16	root	root	NOUN
bibechana-62465	144	17	mean	mean	VERB
bibechana-62465	144	18	square	square	ADJ
bibechana-62465	144	19	error	error	NOUN
bibechana-62465	144	20	(	(	PUNCT
bibechana-62465	144	21	rmse	rmse	NOUN
bibechana-62465	144	22	)	)	PUNCT
bibechana-62465	144	23	,	,	PUNCT
bibechana-62465	144	24	mean	mean	VERB
bibechana-62465	144	25	absolute	absolute	ADJ
bibechana-62465	144	26	error	error	NOUN
bibechana-62465	144	27	(	(	PUNCT
bibechana-62465	144	28	mae	mae	PROPN
bibechana-62465	144	29	)	)	PUNCT
bibechana-62465	144	30	,	,	PUNCT
bibechana-62465	144	31	and	and	CCONJ
bibechana-62465	144	32	r	r	X
bibechana-62465	144	33	-	-	PUNCT
bibechana-62465	144	34	squared	square	VERB
bibechana-62465	144	35	[	[	X
bibechana-62465	144	36	36	36	NUM
bibechana-62465	144	37	]	]	PUNCT
bibechana-62465	144	38	.	.	PUNCT
bibechana-62465	145	1	mean	mean	VERB
bibechana-62465	145	2	squared	square	VERB
bibechana-62465	145	3	error	error	NOUN
bibechana-62465	145	4	mean	mean	NOUN
bibechana-62465	145	5	squared	square	VERB
bibechana-62465	145	6	error	error	NOUN
bibechana-62465	145	7	is	be	AUX
bibechana-62465	145	8	a	a	DET
bibechana-62465	145	9	widely	widely	ADV
bibechana-62465	145	10	utilized	utilize	VERB
bibechana-62465	145	11	metric	metric	NOUN
bibechana-62465	145	12	that	that	PRON
bibechana-62465	145	13	quantifies	quantify	VERB
bibechana-62465	145	14	the	the	DET
bibechana-62465	145	15	average	average	ADJ
bibechana-62465	145	16	squared	square	VERB
bibechana-62465	145	17	differences	difference	NOUN
bibechana-62465	145	18	between	between	ADP
bibechana-62465	145	19	the	the	DET
bibechana-62465	145	20	model	model	NOUN
bibechana-62465	145	21	’s	’s	PART
bibechana-62465	145	22	predicted	predict	VERB
bibechana-62465	145	23	values	value	NOUN
bibechana-62465	145	24	and	and	CCONJ
bibechana-62465	145	25	the	the	DET
bibechana-62465	145	26	actual	actual	ADJ
bibechana-62465	145	27	observed	observed	ADJ
bibechana-62465	145	28	values	value	NOUN
bibechana-62465	145	29	.	.	PUNCT
bibechana-62465	146	1	by	by	ADP
bibechana-62465	146	2	squaring	square	VERB
bibechana-62465	146	3	the	the	DET
bibechana-62465	146	4	errors	error	NOUN
bibechana-62465	146	5	,	,	PUNCT
bibechana-62465	146	6	mse	mse	PROPN
bibechana-62465	146	7	emphasizes	emphasize	VERB
bibechana-62465	146	8	larger	large	ADJ
bibechana-62465	146	9	deviations	deviation	NOUN
bibechana-62465	146	10	and	and	CCONJ
bibechana-62465	146	11	penalizes	penalize	VERB
bibechana-62465	146	12	them	they	PRON
bibechana-62465	146	13	more	more	ADV
bibechana-62465	146	14	than	than	ADP
bibechana-62465	146	15	smaller	small	ADJ
bibechana-62465	146	16	errors	error	NOUN
bibechana-62465	146	17	.	.	PUNCT
bibechana-62465	147	1	this	this	DET
bibechana-62465	147	2	characteristic	characteristic	NOUN
bibechana-62465	147	3	makes	make	VERB
bibechana-62465	147	4	mse	mse	PROPN
bibechana-62465	147	5	sensitive	sensitive	ADJ
bibechana-62465	147	6	to	to	ADP
bibechana-62465	147	7	outliers	outlier	NOUN
bibechana-62465	147	8	and	and	CCONJ
bibechana-62465	147	9	may	may	AUX
bibechana-62465	147	10	lead	lead	VERB
bibechana-62465	147	11	to	to	ADP
bibechana-62465	147	12	models	model	NOUN
bibechana-62465	147	13	that	that	PRON
bibechana-62465	147	14	are	be	AUX
bibechana-62465	147	15	overly	overly	ADV
bibechana-62465	147	16	focused	focused	ADJ
bibechana-62465	147	17	on	on	ADP
bibechana-62465	147	18	minimizing	minimize	VERB
bibechana-62465	147	19	large	large	ADJ
bibechana-62465	147	20	errors	error	NOUN
bibechana-62465	147	21	[	[	X
bibechana-62465	147	22	37	37	NUM
bibechana-62465	147	23	]	]	PUNCT
bibechana-62465	147	24	.	.	PUNCT
bibechana-62465	148	1	the	the	DET
bibechana-62465	148	2	following	follow	VERB
bibechana-62465	148	3	formula	formula	NOUN
bibechana-62465	148	4	is	be	AUX
bibechana-62465	148	5	used	use	VERB
bibechana-62465	148	6	to	to	PART
bibechana-62465	148	7	calculate	calculate	VERB
bibechana-62465	148	8	the	the	DET
bibechana-62465	148	9	mean	mean	ADJ
bibechana-62465	148	10	squared	square	VERB
bibechana-62465	148	11	error	error	NOUN
bibechana-62465	148	12	:	:	PUNCT
bibechana-62465	148	13	mse	mse	NOUN
bibechana-62465	148	14	=	=	SYM
bibechana-62465	148	15	1	1	NUM
bibechana-62465	148	16	n	n	NUM
bibechana-62465	148	17	n∑	n∑	NOUN
bibechana-62465	148	18	i	i	PRON
bibechana-62465	148	19	(	(	PUNCT
bibechana-62465	148	20	yi	yi	PROPN
bibechana-62465	148	21	−	−	PROPN
bibechana-62465	148	22	ȳ	ȳ	PROPN
bibechana-62465	148	23	2	2	NUM
bibechana-62465	148	24	)	)	PUNCT
bibechana-62465	148	25	(	(	PUNCT
bibechana-62465	148	26	1	1	X
bibechana-62465	148	27	)	)	PUNCT
bibechana-62465	148	28	were	be	AUX
bibechana-62465	148	29	,	,	PUNCT
bibechana-62465	148	30	mse=	mse=	PROPN
bibechana-62465	148	31	mean	mean	VERB
bibechana-62465	148	32	squared	square	VERB
bibechana-62465	148	33	error	error	NOUN
bibechana-62465	148	34	n=	n=	ADJ
bibechana-62465	148	35	number	number	NOUN
bibechana-62465	148	36	of	of	ADP
bibechana-62465	148	37	data	datum	NOUN
bibechana-62465	148	38	points	point	NOUN
bibechana-62465	148	39	yi=	yi=	PROPN
bibechana-62465	148	40	observed	observe	VERB
bibechana-62465	148	41	values	value	NOUN
bibechana-62465	148	42	ŷi=	ŷi=	ADP
bibechana-62465	148	43	predicted	predict	VERB
bibechana-62465	148	44	values	value	NOUN
bibechana-62465	148	45	root	root	NOUN
bibechana-62465	148	46	mean	mean	VERB
bibechana-62465	148	47	squared	square	VERB
bibechana-62465	148	48	error	error	NOUN
bibechana-62465	148	49	root	root	NOUN
bibechana-62465	148	50	mean	mean	VERB
bibechana-62465	148	51	square	square	ADJ
bibechana-62465	148	52	error	error	NOUN
bibechana-62465	148	53	is	be	AUX
bibechana-62465	148	54	derived	derive	VERB
bibechana-62465	148	55	from	from	ADP
bibechana-62465	148	56	mse	mse	PROPN
bibechana-62465	148	57	,	,	PUNCT
bibechana-62465	148	58	rmse	rmse	PROPN
bibechana-62465	148	59	is	be	AUX
bibechana-62465	148	60	the	the	DET
bibechana-62465	148	61	square	square	ADJ
bibechana-62465	148	62	root	root	NOUN
bibechana-62465	148	63	of	of	ADP
bibechana-62465	148	64	the	the	DET
bibechana-62465	148	65	average	average	NOUN
bibechana-62465	148	66	of	of	ADP
bibechana-62465	148	67	squared	squared	ADJ
bibechana-62465	148	68	errors	error	NOUN
bibechana-62465	148	69	.	.	PUNCT
bibechana-62465	149	1	it	it	PRON
bibechana-62465	149	2	has	have	VERB
bibechana-62465	149	3	an	an	DET
bibechana-62465	149	4	advantage	advantage	NOUN
bibechana-62465	149	5	of	of	ADP
bibechana-62465	149	6	presenting	present	VERB
bibechana-62465	149	7	errors	error	NOUN
bibechana-62465	149	8	in	in	ADP
bibechana-62465	149	9	the	the	DET
bibechana-62465	149	10	same	same	ADJ
bibechana-62465	149	11	unit	unit	NOUN
bibechana-62465	149	12	as	as	ADP
bibechana-62465	149	13	the	the	DET
bibechana-62465	149	14	target	target	NOUN
bibechana-62465	149	15	variable	variable	NOUN
bibechana-62465	149	16	,	,	PUNCT
bibechana-62465	149	17	making	make	VERB
bibechana-62465	149	18	it	it	PRON
bibechana-62465	149	19	more	more	ADV
bibechana-62465	149	20	interpretable	interpretable	ADJ
bibechana-62465	149	21	.	.	PUNCT
bibechana-62465	150	1	rmse	rmse	PROPN
bibechana-62465	150	2	offers	offer	VERB
bibechana-62465	150	3	insights	insight	NOUN
bibechana-62465	150	4	into	into	ADP
bibechana-62465	150	5	the	the	DET
bibechana-62465	150	6	spread	spread	NOUN
bibechana-62465	150	7	or	or	CCONJ
bibechana-62465	150	8	dispersion	dispersion	NOUN
bibechana-62465	150	9	of	of	ADP
bibechana-62465	150	10	prediction	prediction	NOUN
bibechana-62465	150	11	errors	error	NOUN
bibechana-62465	150	12	.	.	PUNCT
bibechana-62465	151	1	while	while	SCONJ
bibechana-62465	151	2	it	it	PRON
bibechana-62465	151	3	retains	retain	VERB
bibechana-62465	151	4	the	the	DET
bibechana-62465	151	5	sensitivity	sensitivity	NOUN
bibechana-62465	151	6	to	to	ADP
bibechana-62465	151	7	outliers	outlier	NOUN
bibechana-62465	151	8	,	,	PUNCT
bibechana-62465	151	9	the	the	DET
bibechana-62465	151	10	square	square	ADJ
bibechana-62465	151	11	root	root	NOUN
bibechana-62465	151	12	transformation	transformation	NOUN
bibechana-62465	151	13	mitigates	mitigate	VERB
bibechana-62465	151	14	the	the	DET
bibechana-62465	151	15	influence	influence	NOUN
bibechana-62465	151	16	of	of	ADP
bibechana-62465	151	17	extreme	extreme	ADJ
bibechana-62465	151	18	values	value	NOUN
bibechana-62465	151	19	[	[	X
bibechana-62465	151	20	38	38	NUM
bibechana-62465	151	21	,	,	PUNCT
bibechana-62465	151	22	39	39	NUM
bibechana-62465	151	23	]	]	PUNCT
bibechana-62465	151	24	.	.	PUNCT
bibechana-62465	152	1	the	the	DET
bibechana-62465	152	2	formula	formula	NOUN
bibechana-62465	152	3	to	to	PART
bibechana-62465	152	4	calculate	calculate	VERB
bibechana-62465	152	5	root	root	NOUN
bibechana-62465	152	6	mean	mean	NOUN
bibechana-62465	152	7	square	square	ADJ
bibechana-62465	152	8	error	error	NOUN
bibechana-62465	152	9	is	be	AUX
bibechana-62465	152	10	given	give	VERB
bibechana-62465	152	11	as	as	ADP
bibechana-62465	152	12	:	:	PUNCT
bibechana-62465	152	13	rmse	rmse	NOUN
bibechana-62465	152	14	=	=	SYM
bibechana-62465	152	15	√	√	PROPN
bibechana-62465	152	16	mse	mse	NOUN
bibechana-62465	152	17	(	(	PUNCT
bibechana-62465	152	18	2	2	NUM
bibechana-62465	152	19	)	)	PUNCT
bibechana-62465	152	20	mean	mean	VERB
bibechana-62465	152	21	absolute	absolute	ADJ
bibechana-62465	152	22	error	error	NOUN
bibechana-62465	152	23	mean	mean	VERB
bibechana-62465	152	24	absolute	absolute	ADJ
bibechana-62465	152	25	error	error	NOUN
bibechana-62465	152	26	calculates	calculate	VERB
bibechana-62465	152	27	the	the	DET
bibechana-62465	152	28	average	average	NOUN
bibechana-62465	152	29	of	of	ADP
bibechana-62465	152	30	the	the	DET
bibechana-62465	152	31	absolute	absolute	ADJ
bibechana-62465	152	32	differences	difference	NOUN
bibechana-62465	152	33	between	between	ADP
bibechana-62465	152	34	predicted	predict	VERB
bibechana-62465	152	35	and	and	CCONJ
bibechana-62465	152	36	actual	actual	ADJ
bibechana-62465	152	37	values	value	NOUN
bibechana-62465	152	38	.	.	PUNCT
bibechana-62465	153	1	unlike	unlike	ADP
bibechana-62465	153	2	mse	mse	NOUN
bibechana-62465	153	3	,	,	PUNCT
bibechana-62465	153	4	it	it	PRON
bibechana-62465	153	5	treats	treat	VERB
bibechana-62465	153	6	all	all	DET
bibechana-62465	153	7	errors	error	NOUN
bibechana-62465	153	8	equally	equally	ADV
bibechana-62465	153	9	,	,	PUNCT
bibechana-62465	153	10	making	make	VERB
bibechana-62465	153	11	it	it	PRON
bibechana-62465	153	12	less	less	ADV
bibechana-62465	153	13	sensitive	sensitive	ADJ
bibechana-62465	153	14	to	to	ADP
bibechana-62465	153	15	outliers	outlier	NOUN
bibechana-62465	153	16	.	.	PUNCT
bibechana-62465	154	1	this	this	DET
bibechana-62465	154	2	characteristic	characteristic	NOUN
bibechana-62465	154	3	makes	make	VERB
bibechana-62465	154	4	mae	mae	PROPN
bibechana-62465	154	5	a	a	DET
bibechana-62465	154	6	favorable	favorable	ADJ
bibechana-62465	154	7	choice	choice	NOUN
bibechana-62465	154	8	where	where	SCONJ
bibechana-62465	154	9	outliers	outlier	NOUN
bibechana-62465	154	10	should	should	AUX
bibechana-62465	154	11	not	not	PART
bibechana-62465	154	12	disproportionately	disproportionately	ADV
bibechana-62465	154	13	affect	affect	VERB
bibechana-62465	154	14	the	the	DET
bibechana-62465	154	15	evaluation	evaluation	NOUN
bibechana-62465	154	16	.	.	PUNCT
bibechana-62465	155	1	however	however	ADV
bibechana-62465	155	2	,	,	PUNCT
bibechana-62465	155	3	it	it	PRON
bibechana-62465	155	4	may	may	AUX
bibechana-62465	155	5	lack	lack	VERB
bibechana-62465	155	6	the	the	DET
bibechana-62465	155	7	emphasis	emphasis	NOUN
bibechana-62465	155	8	on	on	ADP
bibechana-62465	155	9	larger	large	ADJ
bibechana-62465	155	10	errors	error	NOUN
bibechana-62465	155	11	that	that	PRON
bibechana-62465	155	12	mse	mse	NOUN
bibechana-62465	155	13	provides	provide	VERB
bibechana-62465	155	14	.	.	PUNCT
bibechana-62465	156	1	the	the	DET
bibechana-62465	156	2	following	follow	VERB
bibechana-62465	156	3	formula	formula	NOUN
bibechana-62465	156	4	used	use	VERB
bibechana-62465	156	5	to	to	PART
bibechana-62465	156	6	calculate	calculate	VERB
bibechana-62465	156	7	the	the	DET
bibechana-62465	156	8	mean	mean	ADJ
bibechana-62465	156	9	squared	square	VERB
bibechana-62465	156	10	error	error	NOUN
bibechana-62465	156	11	:	:	PUNCT
bibechana-62465	156	12	mae	mae	PROPN
bibechana-62465	156	13	=	=	PROPN
bibechana-62465	156	14	∑n	∑n	PROPN
bibechana-62465	157	1	i	i	PRON
bibechana-62465	157	2	(	(	PUNCT
bibechana-62465	157	3	yi	yi	NOUN
bibechana-62465	157	4	−	−	PROPN
bibechana-62465	157	5	ȳi	ȳi	PROPN
bibechana-62465	157	6	)	)	PUNCT
bibechana-62465	157	7	n	n	CCONJ
bibechana-62465	157	8	(	(	PUNCT
bibechana-62465	157	9	3	3	NUM
bibechana-62465	157	10	)	)	PUNCT
bibechana-62465	157	11	where	where	SCONJ
bibechana-62465	157	12	,	,	PUNCT
bibechana-62465	157	13	mae	mae	PROPN
bibechana-62465	157	14	=	=	NOUN
bibechana-62465	157	15	mean	mean	VERB
bibechana-62465	157	16	absolute	absolute	ADJ
bibechana-62465	157	17	error	error	NOUN
bibechana-62465	157	18	yi	yi	NOUN
bibechana-62465	157	19	=	=	NOUN
bibechana-62465	157	20	prediction	prediction	NOUN
bibechana-62465	157	21	xi=	xi=	PROPN
bibechana-62465	157	22	true	true	ADJ
bibechana-62465	157	23	value	value	NOUN
bibechana-62465	157	24	n=	n=	ADJ
bibechana-62465	157	25	total	total	ADJ
bibechana-62465	157	26	number	number	NOUN
bibechana-62465	157	27	of	of	ADP
bibechana-62465	157	28	data	datum	NOUN
bibechana-62465	157	29	points	point	NOUN
bibechana-62465	157	30	r	r	NOUN
bibechana-62465	157	31	-	-	PUNCT
bibechana-62465	157	32	squared	square	VERB
bibechana-62465	157	33	r	r	NOUN
bibechana-62465	157	34	-	-	PUNCT
bibechana-62465	157	35	squared	square	VERB
bibechana-62465	157	36	measures	measure	NOUN
bibechana-62465	157	37	the	the	DET
bibechana-62465	157	38	proportion	proportion	NOUN
bibechana-62465	157	39	of	of	ADP
bibechana-62465	157	40	the	the	DET
bibechana-62465	157	41	variance	variance	NOUN
bibechana-62465	157	42	in	in	ADP
bibechana-62465	157	43	the	the	DET
bibechana-62465	157	44	dependent	dependent	ADJ
bibechana-62465	157	45	variable	variable	NOUN
bibechana-62465	157	46	that	that	PRON
bibechana-62465	157	47	is	be	AUX
bibechana-62465	157	48	explained	explain	VERB
bibechana-62465	157	49	by	by	ADP
bibechana-62465	157	50	the	the	DET
bibechana-62465	157	51	independent	independent	ADJ
bibechana-62465	157	52	variables	variable	NOUN
bibechana-62465	157	53	in	in	ADP
bibechana-62465	157	54	the	the	DET
bibechana-62465	157	55	model	model	NOUN
bibechana-62465	157	56	[	[	X
bibechana-62465	157	57	40	40	NUM
bibechana-62465	157	58	]	]	PUNCT
bibechana-62465	157	59	.	.	PUNCT
bibechana-62465	158	1	it	it	PRON
bibechana-62465	158	2	offers	offer	VERB
bibechana-62465	158	3	insights	insight	NOUN
bibechana-62465	158	4	into	into	ADP
bibechana-62465	158	5	the	the	DET
bibechana-62465	158	6	goodness	goodness	NOUN
bibechana-62465	158	7	of	of	ADP
bibechana-62465	158	8	fit	fit	NOUN
bibechana-62465	158	9	and	and	CCONJ
bibechana-62465	158	10	the	the	DET
bibechana-62465	158	11	model	model	NOUN
bibechana-62465	158	12	’s	’s	PART
bibechana-62465	158	13	explanatory	explanatory	ADJ
bibechana-62465	158	14	power	power	NOUN
bibechana-62465	158	15	.	.	PUNCT
bibechana-62465	159	1	higher	high	ADJ
bibechana-62465	159	2	r	r	NOUN
bibechana-62465	159	3	-	-	PUNCT
bibechana-62465	159	4	squared	square	VERB
bibechana-62465	159	5	values	value	NOUN
bibechana-62465	159	6	indicate	indicate	VERB
bibechana-62465	159	7	a	a	DET
bibechana-62465	159	8	larger	large	ADJ
bibechana-62465	159	9	portion	portion	NOUN
bibechana-62465	159	10	of	of	ADP
bibechana-62465	159	11	the	the	DET
bibechana-62465	159	12	variability	variability	NOUN
bibechana-62465	159	13	in	in	ADP
bibechana-62465	159	14	the	the	DET
bibechana-62465	159	15	data	data	NOUN
bibechana-62465	159	16	is	be	AUX
bibechana-62465	159	17	accounted	account	VERB
bibechana-62465	159	18	by	by	ADP
bibechana-62465	159	19	the	the	DET
bibechana-62465	159	20	model	model	NOUN
bibechana-62465	159	21	.	.	PUNCT
bibechana-62465	160	1	nevertheless	nevertheless	ADV
bibechana-62465	160	2	,	,	PUNCT
bibechana-62465	160	3	it	it	PRON
bibechana-62465	160	4	is	be	AUX
bibechana-62465	160	5	important	important	ADJ
bibechana-62465	160	6	to	to	PART
bibechana-62465	160	7	note	note	VERB
bibechana-62465	160	8	that	that	SCONJ
bibechana-62465	160	9	r	r	NOUN
bibechana-62465	160	10	-	-	PUNCT
bibechana-62465	160	11	squared	squared	ADJ
bibechana-62465	160	12	can	can	AUX
bibechana-62465	160	13	be	be	AUX
bibechana-62465	160	14	misleading	misleading	ADJ
bibechana-62465	160	15	when	when	SCONJ
bibechana-62465	160	16	applied	apply	VERB
bibechana-62465	160	17	to	to	ADP
bibechana-62465	160	18	complex	complex	ADJ
bibechana-62465	160	19	models	model	NOUN
bibechana-62465	160	20	,	,	PUNCT
bibechana-62465	160	21	as	as	SCONJ
bibechana-62465	160	22	it	it	PRON
bibechana-62465	160	23	tends	tend	VERB
bibechana-62465	160	24	to	to	PART
bibechana-62465	160	25	increase	increase	VERB
bibechana-62465	160	26	with	with	ADP
bibechana-62465	160	27	the	the	DET
bibechana-62465	160	28	addition	addition	NOUN
bibechana-62465	160	29	of	of	ADP
bibechana-62465	160	30	more	more	ADJ
bibechana-62465	160	31	variables	variable	NOUN
bibechana-62465	160	32	,	,	PUNCT
bibechana-62465	160	33	even	even	ADV
bibechana-62465	160	34	if	if	SCONJ
bibechana-62465	160	35	they	they	PRON
bibechana-62465	160	36	are	be	AUX
bibechana-62465	160	37	not	not	PART
bibechana-62465	160	38	meaningful	meaningful	ADJ
bibechana-62465	160	39	[	[	X
bibechana-62465	160	40	40	40	NUM
bibechana-62465	160	41	]	]	PUNCT
bibechana-62465	160	42	.	.	PUNCT
bibechana-62465	161	1	the	the	DET
bibechana-62465	161	2	following	follow	VERB
bibechana-62465	161	3	formula	formula	NOUN
bibechana-62465	161	4	used	use	VERB
bibechana-62465	161	5	to	to	PART
bibechana-62465	161	6	calculate	calculate	VERB
bibechana-62465	161	7	the	the	DET
bibechana-62465	161	8	r	r	NOUN
bibechana-62465	161	9	-	-	PUNCT
bibechana-62465	161	10	squared	squared	ADJ
bibechana-62465	161	11	:	:	PUNCT
bibechana-62465	161	12	r2	r2	PROPN
bibechana-62465	161	13	=	=	SYM
bibechana-62465	161	14	1−	1−	NUM
bibechana-62465	161	15	ssr	ssr	PROPN
bibechana-62465	161	16	sst	sst	NOUN
bibechana-62465	161	17	(	(	PUNCT
bibechana-62465	161	18	4	4	NUM
bibechana-62465	161	19	)	)	PUNCT
bibechana-62465	161	20	while	while	SCONJ
bibechana-62465	161	21	selecting	select	VERB
bibechana-62465	161	22	the	the	DET
bibechana-62465	161	23	appropriate	appropriate	ADJ
bibechana-62465	161	24	metric	metric	NOUN
bibechana-62465	161	25	for	for	ADP
bibechana-62465	161	26	evaluating	evaluate	VERB
bibechana-62465	161	27	a	a	DET
bibechana-62465	161	28	model	model	NOUN
bibechana-62465	161	29	’s	’s	PART
bibechana-62465	161	30	performance	performance	NOUN
bibechana-62465	161	31	,	,	PUNCT
bibechana-62465	161	32	researcher	researcher	NOUN
bibechana-62465	161	33	’s	’s	PART
bibechana-62465	161	34	must	must	AUX
bibechana-62465	161	35	consider	consider	VERB
bibechana-62465	161	36	the	the	DET
bibechana-62465	161	37	nature	nature	NOUN
bibechana-62465	161	38	of	of	ADP
bibechana-62465	161	39	the	the	DET
bibechana-62465	161	40	data	datum	NOUN
bibechana-62465	161	41	,	,	PUNCT
bibechana-62465	161	42	the	the	DET
bibechana-62465	161	43	goals	goal	NOUN
bibechana-62465	161	44	of	of	ADP
bibechana-62465	161	45	the	the	DET
bibechana-62465	161	46	analysis	analysis	NOUN
bibechana-62465	161	47	,	,	PUNCT
bibechana-62465	161	48	and	and	CCONJ
bibechana-62465	161	49	the	the	DET
bibechana-62465	161	50	desired	desire	VERB
bibechana-62465	161	51	balance	balance	NOUN
bibechana-62465	161	52	between	between	ADP
bibechana-62465	161	53	sensitivity	sensitivity	NOUN
bibechana-62465	161	54	to	to	ADP
bibechana-62465	161	55	errors	error	NOUN
bibechana-62465	161	56	and	and	CCONJ
bibechana-62465	161	57	robustness	robustness	NOUN
bibechana-62465	161	58	to	to	ADP
bibechana-62465	161	59	outliers	outlier	NOUN
bibechana-62465	161	60	[	[	X
bibechana-62465	161	61	41	41	NUM
bibechana-62465	161	62	]	]	PUNCT
bibechana-62465	161	63	.	.	PUNCT
bibechana-62465	162	1	in	in	ADP
bibechana-62465	162	2	many	many	ADJ
bibechana-62465	162	3	cases	case	NOUN
bibechana-62465	162	4	,	,	PUNCT
bibechana-62465	162	5	a	a	DET
bibechana-62465	162	6	combination	combination	NOUN
bibechana-62465	162	7	of	of	ADP
bibechana-62465	162	8	these	these	DET
bibechana-62465	162	9	metrics	metric	NOUN
bibechana-62465	162	10	can	can	AUX
bibechana-62465	162	11	provide	provide	VERB
bibechana-62465	162	12	a	a	DET
bibechana-62465	162	13	more	more	ADV
bibechana-62465	162	14	comprehensive	comprehensive	ADJ
bibechana-62465	162	15	assessment	assessment	NOUN
bibechana-62465	162	16	of	of	ADP
bibechana-62465	162	17	a	a	DET
bibechana-62465	162	18	model	model	NOUN
bibechana-62465	162	19	’s	’s	PART
bibechana-62465	162	20	strengths	strength	NOUN
bibechana-62465	162	21	and	and	CCONJ
bibechana-62465	162	22	weaknesses	weakness	NOUN
bibechana-62465	162	23	,	,	PUNCT
bibechana-62465	162	24	contributing	contribute	VERB
bibechana-62465	162	25	to	to	ADP
bibechana-62465	162	26	a	a	DET
bibechana-62465	162	27	more	more	ADV
bibechana-62465	162	28	thorough	thorough	ADJ
bibechana-62465	162	29	and	and	CCONJ
bibechana-62465	162	30	nuanced	nuanced	ADJ
bibechana-62465	162	31	interpretation	interpretation	NOUN
bibechana-62465	162	32	of	of	ADP
bibechana-62465	162	33	results	result	NOUN
bibechana-62465	162	34	.	.	PUNCT
bibechana-62465	163	1	3	3	NUM
bibechana-62465	163	2	results	result	NOUN
bibechana-62465	163	3	and	and	CCONJ
bibechana-62465	163	4	discussion	discussion	NOUN
bibechana-62465	163	5	3.1	3.1	NUM
bibechana-62465	163	6	statistical	statistical	ADJ
bibechana-62465	163	7	analysis	analysis	NOUN
bibechana-62465	163	8	of	of	ADP
bibechana-62465	163	9	datasets	dataset	NOUN
bibechana-62465	163	10	table.1	table.1	VERB
bibechana-62465	163	11	:	:	PUNCT
bibechana-62465	163	12	depicts	depict	VERB
bibechana-62465	163	13	the	the	DET
bibechana-62465	163	14	entirety	entirety	NOUN
bibechana-62465	163	15	of	of	ADP
bibechana-62465	163	16	the	the	DET
bibechana-62465	163	17	generated	generate	VERB
bibechana-62465	163	18	dataset	dataset	NOUN
bibechana-62465	163	19	.	.	PUNCT
bibechana-62465	164	1	within	within	ADP
bibechana-62465	164	2	this	this	DET
bibechana-62465	164	3	dataset	dataset	NOUN
bibechana-62465	164	4	,	,	PUNCT
bibechana-62465	164	5	the	the	DET
bibechana-62465	164	6	variables	variable	NOUN
bibechana-62465	164	7	exhibited	exhibit	VERB
bibechana-62465	164	8	mesopore	mesopore	NOUN
bibechana-62465	164	9	volume	volume	NOUN
bibechana-62465	164	10	size	size	NOUN
bibechana-62465	164	11	ranging	range	VERB
bibechana-62465	164	12	from	from	ADP
bibechana-62465	164	13	0.3	0.3	NUM
bibechana-62465	164	14	to	to	ADP
bibechana-62465	164	15	0.899	0.899	NUM
bibechana-62465	164	16	cm3	cm3	NOUN
bibechana-62465	164	17	/	/	SYM
bibechana-62465	164	18	g	g	PROPN
bibechana-62465	164	19	and	and	CCONJ
bibechana-62465	164	20	surface	surface	NOUN
bibechana-62465	164	21	area	area	NOUN
bibechana-62465	164	22	from	from	ADP
bibechana-62465	164	23	800.09	800.09	NUM
bibechana-62465	164	24	to	to	ADP
bibechana-62465	164	25	1999.70	1999.70	NUM
bibechana-62465	164	26	m2	m2	PROPN
bibechana-62465	164	27	/	/	SYM
bibechana-62465	164	28	g.	g.	PROPN
bibechana-62465	164	29	to	to	PART
bibechana-62465	164	30	assess	assess	VERB
bibechana-62465	164	31	the	the	DET
bibechana-62465	164	32	degree	degree	NOUN
bibechana-62465	164	33	of	of	ADP
bibechana-62465	164	34	dispersion	dispersion	NOUN
bibechana-62465	164	35	for	for	ADP
bibechana-62465	164	36	each	each	DET
bibechana-62465	164	37	kirti	kirti	PROPN
bibechana-62465	164	38	bir	bir	PROPN
bibechana-62465	164	39	rajguru	rajguru	PROPN
bibechana-62465	164	40	et	et	PROPN
bibechana-62465	165	1	al./	al./	ADV
bibechana-62465	165	2	bibechana	bibechana	PROPN
bibechana-62465	165	3	21	21	NUM
bibechana-62465	165	4	(	(	PUNCT
bibechana-62465	165	5	2024	2024	NUM
bibechana-62465	165	6	)	)	PUNCT
bibechana-62465	165	7	159	159	NUM
bibechana-62465	165	8	-	-	SYM
bibechana-62465	165	9	170	170	NUM
bibechana-62465	165	10	165	165	NUM
bibechana-62465	165	11	variable	variable	NOUN
bibechana-62465	165	12	,	,	PUNCT
bibechana-62465	165	13	we	we	PRON
bibechana-62465	165	14	employed	employ	VERB
bibechana-62465	165	15	mean	mean	NOUN
bibechana-62465	165	16	values	value	NOUN
bibechana-62465	165	17	and	and	CCONJ
bibechana-62465	165	18	their	their	PRON
bibechana-62465	165	19	corresponding	correspond	VERB
bibechana-62465	165	20	standard	standard	ADJ
bibechana-62465	165	21	deviations(sd	deviations(sd	NOUN
bibechana-62465	165	22	)	)	PUNCT
bibechana-62465	165	23	.	.	PUNCT
bibechana-62465	166	1	additionally	additionally	ADV
bibechana-62465	166	2	,	,	PUNCT
bibechana-62465	166	3	the	the	DET
bibechana-62465	166	4	range	range	NOUN
bibechana-62465	166	5	of	of	ADP
bibechana-62465	166	6	each	each	DET
bibechana-62465	166	7	variable	variable	NOUN
bibechana-62465	166	8	was	be	AUX
bibechana-62465	166	9	captured	capture	VERB
bibechana-62465	166	10	through	through	ADP
bibechana-62465	166	11	the	the	DET
bibechana-62465	166	12	utilization	utilization	NOUN
bibechana-62465	166	13	of	of	ADP
bibechana-62465	166	14	minimum	minimum	ADJ
bibechana-62465	166	15	and	and	CCONJ
bibechana-62465	166	16	maximum	maximum	ADJ
bibechana-62465	166	17	values	value	NOUN
bibechana-62465	166	18	.	.	PUNCT
bibechana-62465	167	1	complementing	complement	VERB
bibechana-62465	167	2	these	these	DET
bibechana-62465	167	3	measures	measure	NOUN
bibechana-62465	167	4	,	,	PUNCT
bibechana-62465	167	5	quartile	quartile	NOUN
bibechana-62465	167	6	ranges	range	NOUN
bibechana-62465	167	7	were	be	AUX
bibechana-62465	167	8	furnished	furnish	VERB
bibechana-62465	167	9	to	to	PART
bibechana-62465	167	10	provide	provide	VERB
bibechana-62465	167	11	supplementary	supplementary	ADJ
bibechana-62465	167	12	insights	insight	NOUN
bibechana-62465	167	13	into	into	ADP
bibechana-62465	167	14	the	the	DET
bibechana-62465	167	15	distribution	distribution	NOUN
bibechana-62465	167	16	’s	’s	PART
bibechana-62465	167	17	central	central	ADJ
bibechana-62465	167	18	tendency	tendency	NOUN
bibechana-62465	167	19	.	.	PUNCT
bibechana-62465	168	1	“	"	PUNCT
bibechana-62465	168	2	sd	sd	NOUN
bibechana-62465	168	3	"	"	PUNCT
bibechana-62465	168	4	typically	typically	ADV
bibechana-62465	168	5	stands	stand	VERB
bibechana-62465	168	6	for	for	ADP
bibechana-62465	168	7	"	"	PUNCT
bibechana-62465	168	8	standard	standard	ADJ
bibechana-62465	168	9	deviation	deviation	NOUN
bibechana-62465	168	10	,	,	PUNCT
bibechana-62465	168	11	"	"	PUNCT
bibechana-62465	168	12	which	which	PRON
bibechana-62465	168	13	measures	measure	VERB
bibechana-62465	168	14	the	the	DET
bibechana-62465	168	15	amount	amount	NOUN
bibechana-62465	168	16	of	of	ADP
bibechana-62465	168	17	variation	variation	NOUN
bibechana-62465	168	18	or	or	CCONJ
bibechana-62465	168	19	dispersion	dispersion	NOUN
bibechana-62465	168	20	in	in	ADP
bibechana-62465	168	21	a	a	DET
bibechana-62465	168	22	set	set	NOUN
bibechana-62465	168	23	of	of	ADP
bibechana-62465	168	24	values	value	NOUN
bibechana-62465	168	25	.	.	PUNCT
bibechana-62465	169	1	so	so	ADV
bibechana-62465	169	2	,	,	PUNCT
bibechana-62465	169	3	"	"	PUNCT
bibechana-62465	169	4	sd	sd	ADP
bibechana-62465	169	5	mean	mean	VERB
bibechana-62465	169	6	"	"	PUNCT
bibechana-62465	169	7	could	could	AUX
bibechana-62465	169	8	refers	refer	VERB
bibechana-62465	169	9	to	to	ADP
bibechana-62465	169	10	the	the	DET
bibechana-62465	169	11	standard	standard	ADJ
bibechana-62465	169	12	deviation	deviation	NOUN
bibechana-62465	169	13	of	of	ADP
bibechana-62465	169	14	the	the	DET
bibechana-62465	169	15	mean	mean	NOUN
bibechana-62465	169	16	,	,	PUNCT
bibechana-62465	169	17	indicating	indicate	VERB
bibechana-62465	169	18	how	how	SCONJ
bibechana-62465	169	19	much	much	ADJ
bibechana-62465	169	20	the	the	DET
bibechana-62465	169	21	average	average	ADJ
bibechana-62465	169	22	value	value	NOUN
bibechana-62465	169	23	varies	vary	VERB
bibechana-62465	169	24	from	from	ADP
bibechana-62465	169	25	the	the	DET
bibechana-62465	169	26	overall	overall	ADJ
bibechana-62465	169	27	average	average	NOUN
bibechana-62465	169	28	.	.	PUNCT
bibechana-62465	170	1	3.2	3.2	NUM
bibechana-62465	170	2	machine	machine	NOUN
bibechana-62465	170	3	learning	learning	NOUN
bibechana-62465	170	4	prediction	prediction	NOUN
bibechana-62465	170	5	3.2.1	3.2.1	NUM
bibechana-62465	170	6	model	model	NOUN
bibechana-62465	170	7	evaluation	evaluation	NOUN
bibechana-62465	170	8	nine	nine	NUM
bibechana-62465	170	9	(	(	PUNCT
bibechana-62465	170	10	9	9	NUM
bibechana-62465	170	11	)	)	PUNCT
bibechana-62465	170	12	machine	machine	NOUN
bibechana-62465	170	13	learning	learning	NOUN
bibechana-62465	170	14	models	model	NOUN
bibechana-62465	170	15	were	be	AUX
bibechana-62465	170	16	employed	employ	VERB
bibechana-62465	170	17	based	base	VERB
bibechana-62465	170	18	on	on	ADP
bibechana-62465	170	19	the	the	DET
bibechana-62465	170	20	testing	testing	NOUN
bibechana-62465	170	21	dataset	dataset	NOUN
bibechana-62465	170	22	.	.	PUNCT
bibechana-62465	171	1	table.2	table.2	PRON
bibechana-62465	171	2	:	:	PUNCT
bibechana-62465	171	3	displays	display	VERB
bibechana-62465	171	4	the	the	DET
bibechana-62465	171	5	error	error	NOUN
bibechana-62465	171	6	values	value	NOUN
bibechana-62465	171	7	for	for	ADP
bibechana-62465	171	8	various	various	ADJ
bibechana-62465	171	9	models	model	NOUN
bibechana-62465	171	10	,	,	PUNCT
bibechana-62465	171	11	including	include	VERB
bibechana-62465	171	12	support	support	NOUN
bibechana-62465	171	13	vector	vector	NOUN
bibechana-62465	171	14	re	re	NOUN
bibechana-62465	171	15	gression	gression	NOUN
bibechana-62465	171	16	,	,	PUNCT
bibechana-62465	171	17	linear	linear	ADJ
bibechana-62465	171	18	regression	regression	NOUN
bibechana-62465	171	19	,	,	PUNCT
bibechana-62465	171	20	ridge	ridge	NOUN
bibechana-62465	171	21	regression	regression	NOUN
bibechana-62465	171	22	,	,	PUNCT
bibechana-62465	171	23	decision	decision	NOUN
bibechana-62465	171	24	tree	tree	NOUN
bibechana-62465	171	25	regression	regression	NOUN
bibechana-62465	171	26	,	,	PUNCT
bibechana-62465	171	27	and	and	CCONJ
bibechana-62465	171	28	random	random	ADJ
bibechana-62465	171	29	forest	forest	NOUN
bibechana-62465	171	30	regression	regression	NOUN
bibechana-62465	171	31	,	,	PUNCT
bibechana-62465	171	32	together	together	ADV
bibechana-62465	171	33	with	with	ADP
bibechana-62465	171	34	surface	surface	NOUN
bibechana-62465	171	35	area	area	NOUN
bibechana-62465	171	36	,	,	PUNCT
bibechana-62465	171	37	mesopore	mesopore	NOUN
bibechana-62465	171	38	volume	volume	NOUN
bibechana-62465	171	39	and	and	CCONJ
bibechana-62465	171	40	total	total	ADJ
bibechana-62465	171	41	pore	pore	ADJ
bibechana-62465	171	42	volume	volume	NOUN
bibechana-62465	171	43	.	.	PUNCT
bibechana-62465	172	1	table.2	table.2	PRON
bibechana-62465	172	2	:	:	PUNCT
bibechana-62465	172	3	error	error	NOUN
bibechana-62465	172	4	values	value	NOUN
bibechana-62465	172	5	for	for	ADP
bibechana-62465	172	6	the	the	DET
bibechana-62465	172	7	three	three	NUM
bibechana-62465	172	8	outputs	output	NOUN
bibechana-62465	172	9	using	use	VERB
bibechana-62465	172	10	different	different	ADJ
bibechana-62465	172	11	machine	machine	NOUN
bibechana-62465	172	12	learning	learning	NOUN
bibechana-62465	172	13	models	model	NOUN
bibechana-62465	172	14	.	.	PUNCT
bibechana-62465	173	1	3.2.2	3.2.2	NUM
bibechana-62465	173	2	comparative	comparative	ADJ
bibechana-62465	173	3	analysis	analysis	NOUN
bibechana-62465	173	4	with	with	ADP
bibechana-62465	173	5	chemical	chemical	ADJ
bibechana-62465	173	6	methods	method	NOUN
bibechana-62465	173	7	we	we	PRON
bibechana-62465	173	8	compared	compare	VERB
bibechana-62465	173	9	ml	ml	ADP
bibechana-62465	173	10	predictions	prediction	NOUN
bibechana-62465	173	11	(	(	PUNCT
bibechana-62465	173	12	e.g.	e.g.	ADV
bibechana-62465	173	13	using	use	VERB
bibechana-62465	173	14	random	random	ADJ
bibechana-62465	173	15	forest	forest	NOUN
bibechana-62465	173	16	,	,	PUNCT
bibechana-62465	173	17	gradient	gradient	NOUN
bibechana-62465	173	18	boosting	boosting	NOUN
bibechana-62465	173	19	,	,	PUNCT
bibechana-62465	173	20	etc	etc	X
bibechana-62465	173	21	.	.	X
bibechana-62465	173	22	)	)	PUNCT
bibechana-62465	173	23	with	with	ADP
bibechana-62465	173	24	traditional	traditional	ADJ
bibechana-62465	173	25	methods	method	NOUN
bibechana-62465	173	26	.	.	PUNCT
bibechana-62465	174	1	ml	ml	NOUN
bibechana-62465	174	2	models	model	NOUN
bibechana-62465	174	3	outperform	outperform	VERB
bibechana-62465	174	4	traditional	traditional	ADJ
bibechana-62465	174	5	methods	method	NOUN
bibechana-62465	174	6	due	due	ADP
bibechana-62465	174	7	to	to	ADP
bibechana-62465	174	8	their	their	PRON
bibechana-62465	174	9	ability	ability	NOUN
bibechana-62465	174	10	to	to	PART
bibechana-62465	174	11	capture	capture	VERB
bibechana-62465	174	12	intricate	intricate	ADJ
bibechana-62465	174	13	patterns	pattern	NOUN
bibechana-62465	174	14	.	.	PUNCT
bibechana-62465	175	1	ml	ml	NOUN
bibechana-62465	175	2	models	model	NOUN
bibechana-62465	175	3	benefit	benefit	VERB
bibechana-62465	175	4	from	from	ADP
bibechana-62465	175	5	larger	large	ADJ
bibechana-62465	175	6	datasets	dataset	NOUN
bibechana-62465	175	7	,	,	PUNCT
bibechana-62465	175	8	whereas	whereas	SCONJ
bibechana-62465	175	9	traditional	traditional	ADJ
bibechana-62465	175	10	methods	method	NOUN
bibechana-62465	175	11	can	can	AUX
bibechana-62465	175	12	work	work	VERB
bibechana-62465	175	13	with	with	ADP
bibechana-62465	175	14	smaller	small	ADJ
bibechana-62465	175	15	samples	sample	NOUN
bibechana-62465	175	16	.	.	PUNCT
bibechana-62465	176	1	ml	ml	X
bibechana-62465	176	2	implementation	implementation	NOUN
bibechana-62465	176	3	involved	involve	VERB
bibechana-62465	176	4	computational	computational	ADJ
bibechana-62465	176	5	costs	cost	NOUN
bibechana-62465	176	6	,	,	PUNCT
bibechana-62465	176	7	but	but	CCONJ
bibechana-62465	176	8	traditional	traditional	ADJ
bibechana-62465	176	9	methods	method	NOUN
bibechana-62465	176	10	required	require	VERB
bibechana-62465	176	11	expensive	expensive	ADJ
bibechana-62465	176	12	equipment	equipment	NOUN
bibechana-62465	176	13	.	.	PUNCT
bibechana-62465	177	1	ml	ml	PROPN
bibechana-62465	177	2	models	model	NOUN
bibechana-62465	177	3	handled	handle	VERB
bibechana-62465	177	4	noisy	noisy	ADJ
bibechana-62465	177	5	data	datum	NOUN
bibechana-62465	177	6	better	well	ADV
bibechana-62465	177	7	,	,	PUNCT
bibechana-62465	177	8	but	but	CCONJ
bibechana-62465	177	9	traditional	traditional	ADJ
bibechana-62465	177	10	methods	method	NOUN
bibechana-62465	177	11	were	be	AUX
bibechana-62465	177	12	robust	robust	ADJ
bibechana-62465	177	13	even	even	ADV
bibechana-62465	177	14	with	with	ADP
bibechana-62465	177	15	limited	limited	ADJ
bibechana-62465	177	16	data	datum	NOUN
bibechana-62465	177	17	.	.	PUNCT
bibechana-62465	178	1	3.2.3	3.2.3	NUM
bibechana-62465	178	2	hyperparameter	hyperparameter	NOUN
bibechana-62465	178	3	tuning	tune	VERB
bibechana-62465	178	4	hyperparameter	hyperparameter	NOUN
bibechana-62465	178	5	tuning	tuning	NOUN
bibechana-62465	178	6	is	be	AUX
bibechana-62465	178	7	the	the	DET
bibechana-62465	178	8	process	process	NOUN
bibechana-62465	178	9	of	of	ADP
bibechana-62465	178	10	selecting	select	VERB
bibechana-62465	178	11	the	the	DET
bibechana-62465	178	12	best	good	ADJ
bibechana-62465	178	13	combination	combination	NOUN
bibechana-62465	178	14	of	of	ADP
bibechana-62465	178	15	hyperparameters	hyperparameter	NOUN
bibechana-62465	178	16	for	for	ADP
bibechana-62465	178	17	a	a	DET
bibechana-62465	178	18	machine	machine	NOUN
bibechana-62465	178	19	learning	learning	NOUN
bibechana-62465	178	20	model	model	NOUN
bibechana-62465	178	21	which	which	PRON
bibechana-62465	178	22	optimizes	optimize	VERB
bibechana-62465	178	23	its	its	PRON
bibechana-62465	178	24	performance	performance	NOUN
bibechana-62465	178	25	in	in	ADP
bibechana-62465	178	26	a	a	DET
bibechana-62465	178	27	given	give	VERB
bibechana-62465	178	28	task	task	NOUN
bibechana-62465	178	29	.	.	PUNCT
bibechana-62465	179	1	hyperparameters	hyperparameter	NOUN
bibechana-62465	179	2	are	be	AUX
bibechana-62465	179	3	parameters	parameter	NOUN
bibechana-62465	179	4	that	that	PRON
bibechana-62465	179	5	are	be	AUX
bibechana-62465	179	6	not	not	PART
bibechana-62465	179	7	learned	learn	VERB
bibechana-62465	179	8	by	by	ADP
bibechana-62465	179	9	the	the	DET
bibechana-62465	179	10	model	model	NOUN
bibechana-62465	179	11	during	during	ADP
bibechana-62465	179	12	training	training	NOUN
bibechana-62465	179	13	,	,	PUNCT
bibechana-62465	179	14	but	but	CCONJ
bibechana-62465	179	15	rather	rather	ADV
bibechana-62465	179	16	set	set	VERB
bibechana-62465	179	17	before	before	SCONJ
bibechana-62465	179	18	training	training	NOUN
bibechana-62465	179	19	begins	begin	VERB
bibechana-62465	179	20	,	,	PUNCT
bibechana-62465	179	21	such	such	ADJ
bibechana-62465	179	22	as	as	ADP
bibechana-62465	179	23	learning	learn	VERB
bibechana-62465	179	24	rate	rate	NOUN
bibechana-62465	179	25	,	,	PUNCT
bibechana-62465	179	26	regularization	regularization	NOUN
bibechana-62465	179	27	parameter	parameter	NOUN
bibechana-62465	179	28	,	,	PUNCT
bibechana-62465	179	29	number	number	NOUN
bibechana-62465	179	30	of	of	ADP
bibechana-62465	179	31	hidden	hidden	ADJ
bibechana-62465	179	32	layers	layer	NOUN
bibechana-62465	179	33	,	,	PUNCT
bibechana-62465	179	34	etc	etc	X
bibechana-62465	179	35	.	.	X
bibechana-62465	180	1	the	the	DET
bibechana-62465	180	2	selection	selection	NOUN
bibechana-62465	180	3	of	of	ADP
bibechana-62465	180	4	appropriate	appropriate	ADJ
bibechana-62465	180	5	hyperparameters	hyperparameter	NOUN
bibechana-62465	180	6	can	can	AUX
bibechana-62465	180	7	greatly	greatly	ADV
bibechana-62465	180	8	impacts	impact	VERB
bibechana-62465	180	9	the	the	DET
bibechana-62465	180	10	performance	performance	NOUN
bibechana-62465	180	11	of	of	ADP
bibechana-62465	180	12	a	a	DET
bibechana-62465	180	13	machine	machine	NOUN
bibechana-62465	180	14	learning	learn	VERB
bibechana-62465	180	15	model	model	NOUN
bibechana-62465	180	16	.	.	PUNCT
bibechana-62465	181	1	for	for	ADP
bibechana-62465	181	2	example	example	NOUN
bibechana-62465	181	3	,	,	PUNCT
bibechana-62465	181	4	using	use	VERB
bibechana-62465	181	5	a	a	DET
bibechana-62465	181	6	high	high	ADJ
bibechana-62465	181	7	learning	learning	NOUN
bibechana-62465	181	8	rate	rate	NOUN
bibechana-62465	181	9	may	may	AUX
bibechana-62465	181	10	cause	cause	VERB
bibechana-62465	181	11	the	the	DET
bibechana-62465	181	12	model	model	NOUN
bibechana-62465	181	13	to	to	PART
bibechana-62465	181	14	converge	converge	VERB
bibechana-62465	181	15	quickly	quickly	ADV
bibechana-62465	181	16	but	but	CCONJ
bibechana-62465	181	17	also	also	ADV
bibechana-62465	181	18	result	result	VERB
bibechana-62465	181	19	in	in	ADP
bibechana-62465	181	20	unstable	unstable	ADJ
bibechana-62465	181	21	results	result	NOUN
bibechana-62465	181	22	or	or	CCONJ
bibechana-62465	181	23	overshooting	overshoot	VERB
bibechana-62465	181	24	the	the	DET
bibechana-62465	181	25	optimal	optimal	ADJ
bibechana-62465	181	26	solution	solution	NOUN
bibechana-62465	181	27	,	,	PUNCT
bibechana-62465	181	28	while	while	SCONJ
bibechana-62465	181	29	a	a	DET
bibechana-62465	181	30	low	low	ADJ
bibechana-62465	181	31	learning	learning	NOUN
bibechana-62465	181	32	rate	rate	NOUN
bibechana-62465	181	33	may	may	AUX
bibechana-62465	181	34	cause	cause	VERB
bibechana-62465	181	35	the	the	DET
bibechana-62465	181	36	model	model	NOUN
bibechana-62465	181	37	to	to	PART
bibechana-62465	181	38	converge	converge	VERB
bibechana-62465	181	39	slowly	slowly	ADV
bibechana-62465	181	40	but	but	CCONJ
bibechana-62465	181	41	also	also	ADV
bibechana-62465	181	42	result	result	VERB
bibechana-62465	181	43	in	in	ADP
bibechana-62465	181	44	more	more	ADV
bibechana-62465	181	45	stable	stable	ADJ
bibechana-62465	181	46	and	and	CCONJ
bibechana-62465	181	47	accurate	accurate	ADJ
bibechana-62465	181	48	results	result	NOUN
bibechana-62465	181	49	.	.	PUNCT
bibechana-62465	182	1	similarly	similarly	ADV
bibechana-62465	182	2	,	,	PUNCT
bibechana-62465	182	3	selecting	select	VERB
bibechana-62465	182	4	an	an	DET
bibechana-62465	182	5	appropriate	appropriate	ADJ
bibechana-62465	182	6	value	value	NOUN
bibechana-62465	182	7	for	for	ADP
bibechana-62465	182	8	regularization	regularization	NOUN
bibechana-62465	182	9	can	can	AUX
bibechana-62465	182	10	help	help	VERB
bibechana-62465	182	11	to	to	PART
bibechana-62465	182	12	prevent	prevent	VERB
bibechana-62465	182	13	overfitting	overfitting	NOUN
bibechana-62465	182	14	,	,	PUNCT
bibechana-62465	182	15	while	while	SCONJ
bibechana-62465	182	16	choosing	choose	VERB
bibechana-62465	182	17	the	the	DET
bibechana-62465	182	18	optimal	optimal	ADJ
bibechana-62465	182	19	number	number	NOUN
bibechana-62465	182	20	of	of	ADP
bibechana-62465	182	21	hidden	hidden	ADJ
bibechana-62465	182	22	layers	layer	NOUN
bibechana-62465	182	23	or	or	CCONJ
bibechana-62465	182	24	neurons	neuron	NOUN
bibechana-62465	182	25	can	can	AUX
bibechana-62465	182	26	impact	impact	VERB
bibechana-62465	182	27	the	the	DET
bibechana-62465	182	28	model	model	NOUN
bibechana-62465	182	29	’s	’s	PART
bibechana-62465	182	30	ability	ability	NOUN
bibechana-62465	182	31	to	to	PART
bibechana-62465	182	32	learn	learn	VERB
bibechana-62465	182	33	complex	complex	ADJ
bibechana-62465	182	34	patterns	pattern	NOUN
bibechana-62465	182	35	in	in	ADP
bibechana-62465	182	36	the	the	DET
bibechana-62465	182	37	data	datum	NOUN
bibechana-62465	182	38	.	.	PUNCT
bibechana-62465	183	1	hyperparameter	hyperparameter	NOUN
bibechana-62465	183	2	tuning	tuning	NOUN
bibechana-62465	183	3	involves	involve	VERB
bibechana-62465	183	4	searching	search	VERB
bibechana-62465	183	5	through	through	ADP
bibechana-62465	183	6	a	a	DET
bibechana-62465	183	7	range	range	NOUN
bibechana-62465	183	8	of	of	ADP
bibechana-62465	183	9	hyperparameters	hyperparameter	NOUN
bibechana-62465	183	10	using	use	VERB
bibechana-62465	183	11	various	various	ADJ
bibechana-62465	183	12	techniques	technique	NOUN
bibechana-62465	183	13	such	such	ADJ
bibechana-62465	183	14	as	as	ADP
bibechana-62465	183	15	grid	grid	NOUN
bibechana-62465	183	16	search	search	NOUN
bibechana-62465	183	17	,	,	PUNCT
bibechana-62465	183	18	random	random	ADJ
bibechana-62465	183	19	search	search	NOUN
bibechana-62465	183	20	and	and	CCONJ
bibechana-62465	183	21	bayesian	bayesian	NOUN
bibechana-62465	183	22	optimization	optimization	NOUN
bibechana-62465	183	23	to	to	PART
bibechana-62465	183	24	find	find	VERB
bibechana-62465	183	25	the	the	DET
bibechana-62465	183	26	combination	combination	NOUN
bibechana-62465	183	27	that	that	PRON
bibechana-62465	183	28	results	result	VERB
bibechana-62465	183	29	in	in	ADP
bibechana-62465	183	30	the	the	DET
bibechana-62465	183	31	performance	performance	NOUN
bibechana-62465	183	32	on	on	ADP
bibechana-62465	183	33	a	a	DET
bibechana-62465	183	34	validation	validation	NOUN
bibechana-62465	183	35	set	set	NOUN
bibechana-62465	183	36	.	.	PUNCT
bibechana-62465	184	1	by	by	ADP
bibechana-62465	184	2	optimizing	optimize	VERB
bibechana-62465	184	3	the	the	DET
bibechana-62465	184	4	hyperparameters	hyperparameter	NOUN
bibechana-62465	184	5	,	,	PUNCT
bibechana-62465	184	6	the	the	DET
bibechana-62465	184	7	model	model	NOUN
bibechana-62465	184	8	’s	’s	PART
bibechana-62465	184	9	accuracy	accuracy	NOUN
bibechana-62465	184	10	and	and	CCONJ
bibechana-62465	184	11	generalization	generalization	NOUN
bibechana-62465	184	12	ability	ability	NOUN
bibechana-62465	184	13	can	can	AUX
bibechana-62465	184	14	be	be	AUX
bibechana-62465	184	15	improved	improve	VERB
bibechana-62465	184	16	[	[	X
bibechana-62465	184	17	42	42	NUM
bibechana-62465	184	18	]	]	PUNCT
bibechana-62465	184	19	.	.	PUNCT
bibechana-62465	185	1	hyperparameter	hyperparameter	NOUN
bibechana-62465	185	2	tuning	tune	VERB
bibechana-62465	185	3	in	in	ADP
bibechana-62465	185	4	random	random	ADJ
bibechana-62465	185	5	forest	forest	NOUN
bibechana-62465	185	6	is	be	AUX
bibechana-62465	185	7	the	the	DET
bibechana-62465	185	8	process	process	NOUN
bibechana-62465	185	9	of	of	ADP
bibechana-62465	185	10	finding	find	VERB
bibechana-62465	185	11	the	the	DET
bibechana-62465	185	12	optimal	optimal	ADJ
bibechana-62465	185	13	values	value	NOUN
bibechana-62465	185	14	for	for	ADP
bibechana-62465	185	15	the	the	DET
bibechana-62465	185	16	hyperparameters	hyperparameter	NOUN
bibechana-62465	185	17	of	of	ADP
bibechana-62465	185	18	the	the	DET
bibechana-62465	185	19	model	model	NOUN
bibechana-62465	185	20	which	which	PRON
bibechana-62465	185	21	maximize	maximize	VERB
bibechana-62465	185	22	its	its	PRON
bibechana-62465	185	23	performance	performance	NOUN
bibechana-62465	185	24	on	on	ADP
bibechana-62465	185	25	a	a	DET
bibechana-62465	185	26	given	give	VERB
bibechana-62465	185	27	dataset	dataset	NOUN
bibechana-62465	185	28	.	.	PUNCT
bibechana-62465	186	1	hyperparameters	hyperparameter	NOUN
bibechana-62465	186	2	are	be	AUX
bibechana-62465	186	3	values	value	NOUN
bibechana-62465	186	4	set	set	VERB
bibechana-62465	186	5	before	before	ADP
bibechana-62465	186	6	training	train	VERB
bibechana-62465	186	7	the	the	DET
bibechana-62465	186	8	model	model	NOUN
bibechana-62465	186	9	that	that	PRON
bibechana-62465	186	10	control	control	VERB
bibechana-62465	186	11	its	its	PRON
bibechana-62465	186	12	behavior	behavior	NOUN
bibechana-62465	186	13	,	,	PUNCT
bibechana-62465	186	14	such	such	ADJ
bibechana-62465	186	15	as	as	ADP
bibechana-62465	186	16	the	the	DET
bibechana-62465	186	17	number	number	NOUN
bibechana-62465	186	18	of	of	ADP
bibechana-62465	186	19	trees	tree	NOUN
bibechana-62465	186	20	in	in	ADP
bibechana-62465	186	21	the	the	DET
bibechana-62465	186	22	forest	forest	NOUN
bibechana-62465	186	23	,	,	PUNCT
bibechana-62465	186	24	maximum	maximum	ADJ
bibechana-62465	186	25	depth	depth	NOUN
bibechana-62465	186	26	of	of	ADP
bibechana-62465	186	27	each	each	DET
bibechana-62465	186	28	tree	tree	NOUN
bibechana-62465	186	29	,	,	PUNCT
bibechana-62465	186	30	and	and	CCONJ
bibechana-62465	186	31	minimum	minimum	ADJ
bibechana-62465	186	32	number	number	NOUN
bibechana-62465	186	33	of	of	ADP
bibechana-62465	186	34	samples	sample	NOUN
bibechana-62465	186	35	required	require	VERB
bibechana-62465	186	36	to	to	PART
bibechana-62465	186	37	split	split	VERB
bibechana-62465	186	38	a	a	DET
bibechana-62465	186	39	node	node	NOUN
bibechana-62465	186	40	.	.	PUNCT
bibechana-62465	187	1	kirti	kirti	PROPN
bibechana-62465	187	2	bir	bir	PROPN
bibechana-62465	187	3	rajguru	rajguru	PROPN
bibechana-62465	187	4	et	et	PROPN
bibechana-62465	187	5	al./	al./	ADV
bibechana-62465	187	6	bibechana	bibechana	PROPN
bibechana-62465	187	7	21	21	NUM
bibechana-62465	187	8	(	(	PUNCT
bibechana-62465	187	9	2024	2024	NUM
bibechana-62465	187	10	)	)	PUNCT
bibechana-62465	187	11	159	159	NUM
bibechana-62465	187	12	-	-	SYM
bibechana-62465	187	13	170	170	NUM
bibechana-62465	187	14	166	166	NUM
bibechana-62465	187	15	kirti	kirti	PROPN
bibechana-62465	187	16	bir	bir	PROPN
bibechana-62465	187	17	rajguru	rajguru	PROPN
bibechana-62465	187	18	et	et	PROPN
bibechana-62465	187	19	al./	al./	ADV
bibechana-62465	187	20	bibechana	bibechana	PROPN
bibechana-62465	187	21	21	21	NUM
bibechana-62465	187	22	(	(	PUNCT
bibechana-62465	187	23	2024	2024	NUM
bibechana-62465	187	24	)	)	PUNCT
bibechana-62465	187	25	159	159	NUM
bibechana-62465	187	26	-	-	SYM
bibechana-62465	187	27	170	170	NUM
bibechana-62465	187	28	167	167	NUM
bibechana-62465	187	29	hyperparameter	hyperparameter	NOUN
bibechana-62465	187	30	tuning	tune	VERB
bibechana-62465	187	31	in	in	ADP
bibechana-62465	187	32	random	random	ADJ
bibechana-62465	187	33	forest	forest	NOUN
bibechana-62465	187	34	is	be	AUX
bibechana-62465	187	35	the	the	DET
bibechana-62465	187	36	process	process	NOUN
bibechana-62465	187	37	of	of	ADP
bibechana-62465	187	38	finding	find	VERB
bibechana-62465	187	39	the	the	DET
bibechana-62465	187	40	optimal	optimal	ADJ
bibechana-62465	187	41	values	value	NOUN
bibechana-62465	187	42	for	for	ADP
bibechana-62465	187	43	the	the	DET
bibechana-62465	187	44	hyperparameters	hyperparameter	NOUN
bibechana-62465	187	45	of	of	ADP
bibechana-62465	187	46	the	the	DET
bibechana-62465	187	47	model	model	NOUN
bibechana-62465	187	48	that	that	PRON
bibechana-62465	187	49	maximize	maximize	VERB
bibechana-62465	187	50	its	its	PRON
bibechana-62465	187	51	performance	performance	NOUN
bibechana-62465	187	52	on	on	ADP
bibechana-62465	187	53	a	a	DET
bibechana-62465	187	54	given	give	VERB
bibechana-62465	187	55	dataset	dataset	NOUN
bibechana-62465	187	56	.	.	PUNCT
bibechana-62465	188	1	hyperparameters	hyperparameter	NOUN
bibechana-62465	188	2	are	be	AUX
bibechana-62465	188	3	values	value	NOUN
bibechana-62465	188	4	set	set	VERB
bibechana-62465	188	5	before	before	ADP
bibechana-62465	188	6	training	train	VERB
bibechana-62465	188	7	the	the	DET
bibechana-62465	188	8	model	model	NOUN
bibechana-62465	188	9	that	that	PRON
bibechana-62465	188	10	control	control	VERB
bibechana-62465	188	11	its	its	PRON
bibechana-62465	188	12	behavior	behavior	NOUN
bibechana-62465	188	13	,	,	PUNCT
bibechana-62465	188	14	such	such	ADJ
bibechana-62465	188	15	as	as	ADP
bibechana-62465	188	16	the	the	DET
bibechana-62465	188	17	number	number	NOUN
bibechana-62465	188	18	of	of	ADP
bibechana-62465	188	19	trees	tree	NOUN
bibechana-62465	188	20	in	in	ADP
bibechana-62465	188	21	the	the	DET
bibechana-62465	188	22	forest	forest	NOUN
bibechana-62465	188	23	,	,	PUNCT
bibechana-62465	188	24	the	the	DET
bibechana-62465	188	25	maximum	maximum	ADJ
bibechana-62465	188	26	depth	depth	NOUN
bibechana-62465	188	27	of	of	ADP
bibechana-62465	188	28	each	each	DET
bibechana-62465	188	29	tree	tree	NOUN
bibechana-62465	188	30	,	,	PUNCT
bibechana-62465	188	31	and	and	CCONJ
bibechana-62465	188	32	the	the	DET
bibechana-62465	188	33	minimum	minimum	ADJ
bibechana-62465	188	34	number	number	NOUN
bibechana-62465	188	35	of	of	ADP
bibechana-62465	188	36	samples	sample	NOUN
bibechana-62465	188	37	required	require	VERB
bibechana-62465	188	38	to	to	PART
bibechana-62465	188	39	split	split	VERB
bibechana-62465	188	40	a	a	DET
bibechana-62465	188	41	node	node	NOUN
bibechana-62465	188	42	.	.	PUNCT
bibechana-62465	189	1	for	for	ADP
bibechana-62465	189	2	each	each	PRON
bibechana-62465	189	3	of	of	ADP
bibechana-62465	189	4	the	the	DET
bibechana-62465	189	5	model	model	NOUN
bibechana-62465	189	6	we	we	PRON
bibechana-62465	189	7	have	have	AUX
bibechana-62465	189	8	calculated	calculate	VERB
bibechana-62465	189	9	the	the	DET
bibechana-62465	189	10	evaluation	evaluation	NOUN
bibechana-62465	189	11	metrics	metric	NOUN
bibechana-62465	189	12	like	like	ADP
bibechana-62465	189	13	mae	mae	PROPN
bibechana-62465	189	14	,	,	PUNCT
bibechana-62465	189	15	mse	mse	PROPN
bibechana-62465	189	16	etc	etc	X
bibechana-62465	189	17	.	.	X
bibechana-62465	189	18	and	and	CCONJ
bibechana-62465	189	19	also	also	ADV
bibechana-62465	189	20	the	the	DET
bibechana-62465	189	21	best	good	ADJ
bibechana-62465	189	22	parameters	parameter	NOUN
bibechana-62465	189	23	so	so	SCONJ
bibechana-62465	189	24	that	that	SCONJ
bibechana-62465	189	25	we	we	PRON
bibechana-62465	189	26	can	can	AUX
bibechana-62465	189	27	get	get	VERB
bibechana-62465	189	28	the	the	DET
bibechana-62465	189	29	best	good	ADJ
bibechana-62465	189	30	pathway	pathway	NOUN
bibechana-62465	189	31	for	for	ADP
bibechana-62465	189	32	each	each	DET
bibechana-62465	189	33	model	model	NOUN
bibechana-62465	189	34	.	.	PUNCT
bibechana-62465	190	1	4	4	NUM
bibechana-62465	190	2	conclusion	conclusion	NOUN
bibechana-62465	190	3	fossil	fossil	NOUN
bibechana-62465	190	4	fuels	fuel	NOUN
bibechana-62465	190	5	contribute	contribute	VERB
bibechana-62465	190	6	to	to	ADP
bibechana-62465	190	7	air	air	NOUN
bibechana-62465	190	8	pollution	pollution	NOUN
bibechana-62465	190	9	,	,	PUNCT
bibechana-62465	190	10	greenhouse	greenhouse	NOUN
bibechana-62465	190	11	gas	gas	NOUN
bibechana-62465	190	12	emissions	emission	NOUN
bibechana-62465	190	13	,	,	PUNCT
bibechana-62465	190	14	and	and	CCONJ
bibechana-62465	190	15	environmental	environmental	ADJ
bibechana-62465	190	16	degradation	degradation	NOUN
bibechana-62465	190	17	.	.	PUNCT
bibechana-62465	191	1	supercapacitors	supercapacitor	NOUN
bibechana-62465	191	2	can	can	AUX
bibechana-62465	191	3	help	help	VERB
bibechana-62465	191	4	to	to	PART
bibechana-62465	191	5	reduce	reduce	VERB
bibechana-62465	191	6	these	these	DET
bibechana-62465	191	7	effects	effect	NOUN
bibechana-62465	191	8	by	by	ADP
bibechana-62465	191	9	providing	provide	VERB
bibechana-62465	191	10	efficient	efficient	ADJ
bibechana-62465	191	11	energy	energy	NOUN
bibechana-62465	191	12	storage	storage	NOUN
bibechana-62465	191	13	and	and	CCONJ
bibechana-62465	191	14	recovery	recovery	NOUN
bibechana-62465	191	15	,	,	PUNCT
bibechana-62465	191	16	especially	especially	ADV
bibechana-62465	191	17	in	in	ADP
bibechana-62465	191	18	applications	application	NOUN
bibechana-62465	191	19	like	like	ADP
bibechana-62465	191	20	electric	electric	ADJ
bibechana-62465	191	21	vehicles	vehicle	NOUN
bibechana-62465	191	22	and	and	CCONJ
bibechana-62465	191	23	renewable	renewable	ADJ
bibechana-62465	191	24	energy	energy	NOUN
bibechana-62465	191	25	systems	system	NOUN
bibechana-62465	191	26	.	.	PUNCT
bibechana-62465	192	1	they	they	PRON
bibechana-62465	192	2	can	can	AUX
bibechana-62465	192	3	capture	capture	VERB
bibechana-62465	192	4	and	and	CCONJ
bibechana-62465	192	5	release	release	VERB
bibechana-62465	192	6	energy	energy	NOUN
bibechana-62465	192	7	quickly	quickly	ADV
bibechana-62465	192	8	,	,	PUNCT
bibechana-62465	192	9	minimizing	minimize	VERB
bibechana-62465	192	10	the	the	DET
bibechana-62465	192	11	need	need	NOUN
bibechana-62465	192	12	for	for	ADP
bibechana-62465	192	13	constant	constant	ADJ
bibechana-62465	192	14	fossil	fossil	NOUN
bibechana-62465	192	15	fuel	fuel	NOUN
bibechana-62465	192	16	consumption	consumption	NOUN
bibechana-62465	192	17	.	.	PUNCT
bibechana-62465	193	1	using	use	VERB
bibechana-62465	193	2	supercapacitors	supercapacitor	NOUN
bibechana-62465	193	3	can	can	AUX
bibechana-62465	193	4	lead	lead	VERB
bibechana-62465	193	5	to	to	ADP
bibechana-62465	193	6	cleaner	clean	ADJ
bibechana-62465	193	7	air	air	NOUN
bibechana-62465	193	8	and	and	CCONJ
bibechana-62465	193	9	reduced	reduce	VERB
bibechana-62465	193	10	carbon	carbon	NOUN
bibechana-62465	193	11	emissions	emission	NOUN
bibechana-62465	193	12	,	,	PUNCT
bibechana-62465	193	13	promoting	promote	VERB
bibechana-62465	193	14	a	a	DET
bibechana-62465	193	15	more	more	ADV
bibechana-62465	193	16	sustainable	sustainable	ADJ
bibechana-62465	193	17	energy	energy	NOUN
bibechana-62465	193	18	kirti	kirti	PROPN
bibechana-62465	193	19	bir	bir	PROPN
bibechana-62465	193	20	rajguru	rajguru	PROPN
bibechana-62465	193	21	et	et	PROPN
bibechana-62465	193	22	al./	al./	ADV
bibechana-62465	193	23	bibechana	bibechana	PROPN
bibechana-62465	193	24	21	21	NUM
bibechana-62465	193	25	(	(	PUNCT
bibechana-62465	193	26	2024	2024	NUM
bibechana-62465	193	27	)	)	PUNCT
bibechana-62465	193	28	159	159	NUM
bibechana-62465	193	29	-	-	SYM
bibechana-62465	193	30	170	170	NUM
bibechana-62465	193	31	168	168	NUM
bibechana-62465	193	32	landscape	landscape	NOUN
bibechana-62465	193	33	.	.	PUNCT
bibechana-62465	194	1	a	a	DET
bibechana-62465	194	2	model	model	NOUN
bibechana-62465	194	3	that	that	PRON
bibechana-62465	194	4	predicts	predict	VERB
bibechana-62465	194	5	the	the	DET
bibechana-62465	194	6	surface	surface	NOUN
bibechana-62465	194	7	area	area	NOUN
bibechana-62465	194	8	,	,	PUNCT
bibechana-62465	194	9	mesopore	mesopore	NOUN
bibechana-62465	194	10	volume	volume	NOUN
bibechana-62465	194	11	and	and	CCONJ
bibechana-62465	194	12	total	total	ADJ
bibechana-62465	194	13	pore	pore	ADJ
bibechana-62465	194	14	volume	volume	NOUN
bibechana-62465	194	15	of	of	ADP
bibechana-62465	194	16	biobased	biobase	VERB
bibechana-62465	194	17	activated	activate	VERB
bibechana-62465	194	18	carbon	carbon	NOUN
bibechana-62465	194	19	was	be	AUX
bibechana-62465	194	20	created	create	VERB
bibechana-62465	194	21	using	use	VERB
bibechana-62465	194	22	various	various	ADJ
bibechana-62465	194	23	machine	machine	NOUN
bibechana-62465	194	24	learning	learn	VERB
bibechana-62465	194	25	algorithms	algorithm	NOUN
bibechana-62465	194	26	.	.	PUNCT
bibechana-62465	195	1	the	the	DET
bibechana-62465	195	2	machine	machine	NOUN
bibechana-62465	195	3	uses	use	VERB
bibechana-62465	195	4	the	the	DET
bibechana-62465	195	5	input	input	NOUN
bibechana-62465	195	6	features	feature	VERB
bibechana-62465	195	7	namely	namely	ADV
bibechana-62465	195	8	temperature	temperature	NOUN
bibechana-62465	195	9	,	,	PUNCT
bibechana-62465	195	10	methylene	methylene	ADJ
bibechana-62465	195	11	blue	blue	ADJ
bibechana-62465	195	12	number	number	NOUN
bibechana-62465	195	13	and	and	CCONJ
bibechana-62465	195	14	iodine	iodine	NOUN
bibechana-62465	195	15	number	number	NOUN
bibechana-62465	195	16	,	,	PUNCT
bibechana-62465	195	17	and	and	CCONJ
bibechana-62465	195	18	the	the	DET
bibechana-62465	195	19	test	test	NOUN
bibechana-62465	195	20	circumstances	circumstance	NOUN
bibechana-62465	195	21	.	.	PUNCT
bibechana-62465	196	1	the	the	DET
bibechana-62465	196	2	prediction	prediction	NOUN
bibechana-62465	196	3	performance	performance	NOUN
bibechana-62465	196	4	of	of	ADP
bibechana-62465	196	5	the	the	DET
bibechana-62465	196	6	random	random	ADJ
bibechana-62465	196	7	forest	forest	NOUN
bibechana-62465	196	8	regressor	regressor	NOUN
bibechana-62465	196	9	and	and	CCONJ
bibechana-62465	196	10	cat	cat	NOUN
bibechana-62465	196	11	boost	boost	NOUN
bibechana-62465	196	12	regressor	regressor	NOUN
bibechana-62465	196	13	models	model	NOUN
bibechana-62465	196	14	was	be	AUX
bibechana-62465	196	15	superior	superior	ADJ
bibechana-62465	196	16	than	than	ADP
bibechana-62465	196	17	that	that	PRON
bibechana-62465	196	18	of	of	ADP
bibechana-62465	196	19	the	the	DET
bibechana-62465	196	20	ann	ann	PROPN
bibechana-62465	196	21	,	,	PUNCT
bibechana-62465	196	22	ridge	ridge	PROPN
bibechana-62465	196	23	,	,	PUNCT
bibechana-62465	196	24	mlp	mlp	PROPN
bibechana-62465	196	25	,	,	PUNCT
bibechana-62465	196	26	gbr	gbr	PROPN
bibechana-62465	196	27	,	,	PUNCT
bibechana-62465	196	28	dtr	dtr	NOUN
bibechana-62465	196	29	and	and	CCONJ
bibechana-62465	196	30	svr	svr	PROPN
bibechana-62465	196	31	models	model	NOUN
bibechana-62465	196	32	.	.	PUNCT
bibechana-62465	197	1	the	the	DET
bibechana-62465	197	2	multifaceted	multifaceted	ADJ
bibechana-62465	197	3	correlations	correlation	NOUN
bibechana-62465	197	4	between	between	ADP
bibechana-62465	197	5	input	input	NOUN
bibechana-62465	197	6	parameters	parameter	NOUN
bibechana-62465	197	7	such	such	ADJ
bibechana-62465	197	8	iodine	iodine	NOUN
bibechana-62465	197	9	amount	amount	NOUN
bibechana-62465	197	10	and	and	CCONJ
bibechana-62465	197	11	methylene	methylene	NOUN
bibechana-62465	197	12	blue	blue	ADJ
bibechana-62465	197	13	number	number	NOUN
bibechana-62465	197	14	and	and	CCONJ
bibechana-62465	197	15	output	output	NOUN
bibechana-62465	197	16	variables	variable	NOUN
bibechana-62465	197	17	include	include	VERB
bibechana-62465	197	18	surface	surface	NOUN
bibechana-62465	197	19	area	area	NOUN
bibechana-62465	197	20	,	,	PUNCT
bibechana-62465	197	21	mesopore	mesopore	NOUN
bibechana-62465	197	22	volume	volume	NOUN
bibechana-62465	197	23	,	,	PUNCT
bibechana-62465	197	24	and	and	CCONJ
bibechana-62465	197	25	total	total	ADJ
bibechana-62465	197	26	pore	pore	ADJ
bibechana-62465	197	27	volume	volume	NOUN
bibechana-62465	197	28	have	have	AUX
bibechana-62465	197	29	been	be	AUX
bibechana-62465	197	30	studied	study	VERB
bibechana-62465	197	31	using	use	VERB
bibechana-62465	197	32	machine	machine	NOUN
bibechana-62465	197	33	learning	learning	NOUN
bibechana-62465	197	34	(	(	PUNCT
bibechana-62465	197	35	ml	ml	NOUN
bibechana-62465	197	36	)	)	PUNCT
bibechana-62465	197	37	.	.	PUNCT
bibechana-62465	198	1	in	in	ADP
bibechana-62465	198	2	addition	addition	NOUN
bibechana-62465	198	3	,	,	PUNCT
bibechana-62465	198	4	ml	ml	NOUN
bibechana-62465	198	5	might	might	AUX
bibechana-62465	198	6	be	be	AUX
bibechana-62465	198	7	used	use	VERB
bibechana-62465	198	8	for	for	ADP
bibechana-62465	198	9	generating	generating	NOUN
bibechana-62465	198	10	models	model	NOUN
bibechana-62465	198	11	for	for	ADP
bibechana-62465	198	12	prediction	prediction	NOUN
bibechana-62465	198	13	that	that	PRON
bibechana-62465	198	14	includes	include	VERB
bibechana-62465	198	15	surface	surface	NOUN
bibechana-62465	198	16	area	area	NOUN
bibechana-62465	198	17	,	,	PUNCT
bibechana-62465	198	18	mesopore	mesopore	NOUN
bibechana-62465	198	19	volume	volume	NOUN
bibechana-62465	198	20	,	,	PUNCT
bibechana-62465	198	21	and	and	CCONJ
bibechana-62465	198	22	total	total	ADJ
bibechana-62465	198	23	pore	pore	ADJ
bibechana-62465	198	24	volume	volume	NOUN
bibechana-62465	198	25	.	.	PUNCT
bibechana-62465	199	1	by	by	ADP
bibechana-62465	199	2	using	use	VERB
bibechana-62465	199	3	surface	surface	NOUN
bibechana-62465	199	4	area	area	NOUN
bibechana-62465	199	5	,	,	PUNCT
bibechana-62465	199	6	mesopore	mesopore	NOUN
bibechana-62465	199	7	volume	volume	NOUN
bibechana-62465	199	8	,	,	PUNCT
bibechana-62465	199	9	and	and	CCONJ
bibechana-62465	199	10	total	total	ADJ
bibechana-62465	199	11	pore	pore	ADJ
bibechana-62465	199	12	volume	volume	NOUN
bibechana-62465	199	13	,	,	PUNCT
bibechana-62465	199	14	machine	machine	NOUN
bibechana-62465	199	15	learning	learning	NOUN
bibechana-62465	199	16	algorithms	algorithm	NOUN
bibechana-62465	199	17	can	can	AUX
bibechana-62465	199	18	assist	assist	VERB
bibechana-62465	199	19	researchers	researcher	NOUN
bibechana-62465	199	20	in	in	ADP
bibechana-62465	199	21	choosing	choose	VERB
bibechana-62465	199	22	the	the	DET
bibechana-62465	199	23	best	good	ADJ
bibechana-62465	199	24	model	model	NOUN
bibechana-62465	199	25	and	and	CCONJ
bibechana-62465	199	26	in	in	ADP
bibechana-62465	199	27	enhancing	enhance	VERB
bibechana-62465	199	28	the	the	DET
bibechana-62465	199	29	efficacy	efficacy	NOUN
bibechana-62465	199	30	and	and	CCONJ
bibechana-62465	199	31	reliability	reliability	NOUN
bibechana-62465	199	32	of	of	ADP
bibechana-62465	199	33	the	the	DET
bibechana-62465	199	34	energy	energy	NOUN
bibechana-62465	199	35	storage	storage	NOUN
bibechana-62465	199	36	process	process	NOUN
bibechana-62465	199	37	.	.	PUNCT
bibechana-62465	200	1	machine	machine	NOUN
bibechana-62465	200	2	learning	learning	NOUN
bibechana-62465	200	3	(	(	PUNCT
bibechana-62465	200	4	ml	ml	NOUN
bibechana-62465	200	5	)	)	PUNCT
bibechana-62465	200	6	is	be	AUX
bibechana-62465	200	7	used	use	VERB
bibechana-62465	200	8	to	to	PART
bibechana-62465	200	9	analyze	analyze	VERB
bibechana-62465	200	10	the	the	DET
bibechana-62465	200	11	effects	effect	NOUN
bibechana-62465	200	12	of	of	ADP
bibechana-62465	200	13	the	the	DET
bibechana-62465	200	14	input	input	NOUN
bibechana-62465	200	15	parameters	parameter	NOUN
bibechana-62465	200	16	on	on	ADP
bibechana-62465	200	17	the	the	DET
bibechana-62465	200	18	basis	basis	NOUN
bibechana-62465	200	19	of	of	ADP
bibechana-62465	200	20	value	value	NOUN
bibechana-62465	200	21	of	of	ADP
bibechana-62465	200	22	surface	surface	NOUN
bibechana-62465	200	23	area	area	NOUN
bibechana-62465	200	24	,	,	PUNCT
bibechana-62465	200	25	mesopore	mesopore	NOUN
bibechana-62465	200	26	volume	volume	NOUN
bibechana-62465	200	27	,	,	PUNCT
bibechana-62465	200	28	and	and	CCONJ
bibechana-62465	200	29	total	total	ADJ
bibechana-62465	200	30	pore	pore	ADJ
bibechana-62465	200	31	volume	volume	NOUN
bibechana-62465	200	32	,	,	PUNCT
bibechana-62465	200	33	as	as	ADV
bibechana-62465	200	34	well	well	ADV
bibechana-62465	200	35	as	as	ADP
bibechana-62465	200	36	to	to	PART
bibechana-62465	200	37	optimize	optimize	VERB
bibechana-62465	200	38	the	the	DET
bibechana-62465	200	39	required	require	VERB
bibechana-62465	200	40	output	output	NOUN
bibechana-62465	200	41	parameters	parameter	NOUN
bibechana-62465	200	42	.	.	PUNCT
bibechana-62465	201	1	we	we	PRON
bibechana-62465	201	2	located	locate	VERB
bibechana-62465	201	3	random	random	ADJ
bibechana-62465	201	4	forest	forest	NOUN
bibechana-62465	201	5	regressor	regressor	NOUN
bibechana-62465	201	6	and	and	CCONJ
bibechana-62465	201	7	xg	xg	PROPN
bibechana-62465	201	8	boost	boost	PROPN
bibechana-62465	201	9	regressor	regressor	NOUN
bibechana-62465	201	10	models	model	NOUN
bibechana-62465	201	11	,	,	PUNCT
bibechana-62465	201	12	among	among	ADP
bibechana-62465	201	13	nine	nine	NUM
bibechana-62465	201	14	different	different	ADJ
bibechana-62465	201	15	ml	ml	NOUN
bibechana-62465	201	16	methods	method	NOUN
bibechana-62465	201	17	,	,	PUNCT
bibechana-62465	201	18	are	be	AUX
bibechana-62465	201	19	the	the	DET
bibechana-62465	201	20	most	most	ADV
bibechana-62465	201	21	suitable	suitable	ADJ
bibechana-62465	201	22	models	model	NOUN
bibechana-62465	201	23	.	.	PUNCT
bibechana-62465	202	1	since	since	SCONJ
bibechana-62465	202	2	,	,	PUNCT
bibechana-62465	202	3	produced	produce	VERB
bibechana-62465	202	4	activated	activate	VERB
bibechana-62465	202	5	carbon	carbon	NOUN
bibechana-62465	202	6	possesses	possess	VERB
bibechana-62465	202	7	substantial	substantial	ADJ
bibechana-62465	202	8	values	value	NOUN
bibechana-62465	202	9	for	for	ADP
bibechana-62465	202	10	surface	surface	NOUN
bibechana-62465	202	11	area	area	NOUN
bibechana-62465	202	12	,	,	PUNCT
bibechana-62465	202	13	mesopore	mesopore	NOUN
bibechana-62465	202	14	volume	volume	NOUN
bibechana-62465	202	15	,	,	PUNCT
bibechana-62465	202	16	and	and	CCONJ
bibechana-62465	202	17	total	total	ADJ
bibechana-62465	202	18	pore	pore	ADJ
bibechana-62465	202	19	volume	volume	NOUN
bibechana-62465	202	20	,	,	PUNCT
bibechana-62465	202	21	it	it	PRON
bibechana-62465	202	22	can	can	AUX
bibechana-62465	202	23	be	be	AUX
bibechana-62465	202	24	employed	employ	VERB
bibechana-62465	202	25	as	as	ADP
bibechana-62465	202	26	an	an	DET
bibechana-62465	202	27	electrode	electrode	NOUN
bibechana-62465	202	28	material	material	NOUN
bibechana-62465	202	29	for	for	ADP
bibechana-62465	202	30	energy	energy	NOUN
bibechana-62465	202	31	storage	storage	NOUN
bibechana-62465	202	32	in	in	ADP
bibechana-62465	202	33	future	future	NOUN
bibechana-62465	202	34	.	.	PUNCT
bibechana-62465	203	1	acknowledgement	acknowledgement	NOUN
bibechana-62465	203	2	the	the	DET
bibechana-62465	203	3	authors	author	NOUN
bibechana-62465	203	4	would	would	AUX
bibechana-62465	203	5	like	like	VERB
bibechana-62465	203	6	to	to	PART
bibechana-62465	203	7	express	express	VERB
bibechana-62465	203	8	their	their	PRON
bibechana-62465	203	9	gratitude	gratitude	NOUN
bibechana-62465	203	10	to	to	ADP
bibechana-62465	203	11	the	the	DET
bibechana-62465	203	12	department	department	NOUN
bibechana-62465	203	13	of	of	ADP
bibechana-62465	203	14	applied	apply	VERB
bibechana-62465	203	15	sciences	science	NOUN
bibechana-62465	203	16	and	and	CCONJ
bibechana-62465	203	17	chemical	chemical	NOUN
bibechana-62465	203	18	engineering	engineering	NOUN
bibechana-62465	203	19	(	(	PUNCT
bibechana-62465	203	20	ioe	ioe	PROPN
bibechana-62465	203	21	)	)	PUNCT
bibechana-62465	203	22	,	,	PUNCT
bibechana-62465	203	23	pulchowk	pulchowk	NOUN
bibechana-62465	203	24	campus	campus	PROPN
bibechana-62465	203	25	.	.	PUNCT
bibechana-62465	204	1	references	reference	NOUN
bibechana-62465	204	2	[	[	X
bibechana-62465	204	3	1	1	NUM
bibechana-62465	204	4	]	]	PUNCT
bibechana-62465	204	5	m.	m.	NOUN
bibechana-62465	204	6	rahimi	rahimi	NOUN
bibechana-62465	204	7	,	,	PUNCT
bibechana-62465	204	8	m.h	m.h	PROPN
bibechana-62465	204	9	.	.	PROPN
bibechana-62465	204	10	abbaspour	abbaspour	NOUN
bibechana-62465	204	11	-	-	PUNCT
bibechana-62465	204	12	fard	fard	NOUN
bibechana-62465	204	13	,	,	PUNCT
bibechana-62465	204	14	and	and	CCONJ
bibechana-62465	204	15	a.	a.	NOUN
bibechana-62465	204	16	rohani	rohani	PROPN
bibechana-62465	204	17	.	.	PUNCT
bibechana-62465	205	1	synergetic	synergetic	ADJ
bibechana-62465	205	2	effect	effect	NOUN
bibechana-62465	205	3	of	of	ADP
bibechana-62465	205	4	n	n	CCONJ
bibechana-62465	205	5	/	/	SYM
bibechana-62465	205	6	o	o	NOUN
bibechana-62465	205	7	functional	functional	ADJ
bibechana-62465	205	8	groups	group	NOUN
bibechana-62465	205	9	and	and	CCONJ
bibechana-62465	205	10	microstructures	microstructure	NOUN
bibechana-62465	205	11	of	of	ADP
bibechana-62465	205	12	activated	activated	ADJ
bibechana-62465	205	13	carbon	carbon	NOUN
bibechana-62465	205	14	on	on	ADP
bibechana-62465	205	15	supercapacitor	supercapacitor	NOUN
bibechana-62465	205	16	performance	performance	NOUN
bibechana-62465	205	17	by	by	ADP
bibechana-62465	205	18	machine	machine	NOUN
bibechana-62465	205	19	learning	learning	NOUN
bibechana-62465	205	20	.	.	PUNCT
bibechana-62465	206	1	journal	journal	PROPN
bibechana-62465	206	2	of	of	ADP
bibechana-62465	206	3	power	power	NOUN
bibechana-62465	206	4	sources	source	NOUN
bibechana-62465	206	5	,	,	PUNCT
bibechana-62465	206	6	521:230968	521:230968	NUM
bibechana-62465	206	7	,	,	PUNCT
bibechana-62465	206	8	2022	2022	NUM
bibechana-62465	206	9	.	.	PUNCT
bibechana-62465	207	1	[	[	X
bibechana-62465	207	2	2	2	NUM
bibechana-62465	207	3	]	]	PUNCT
bibechana-62465	207	4	c.	c.	PROPN
bibechana-62465	207	5	wang	wang	PROPN
bibechana-62465	207	6	,	,	PUNCT
bibechana-62465	207	7	w.	w.	PROPN
bibechana-62465	207	8	jiang	jiang	PROPN
bibechana-62465	207	9	,	,	PUNCT
bibechana-62465	207	10	g.	g.	PROPN
bibechana-62465	207	11	jiang	jiang	PROPN
bibechana-62465	207	12	,	,	PUNCT
bibechana-62465	207	13	t.	t.	PROPN
bibechana-62465	207	14	zhang	zhang	PROPN
bibechana-62465	207	15	,	,	PUNCT
bibechana-62465	207	16	k.	k.	PROPN
bibechana-62465	207	17	he	he	PROPN
bibechana-62465	207	18	,	,	PUNCT
bibechana-62465	207	19	l.	l.	PROPN
bibechana-62465	207	20	mu	mu	PROPN
bibechana-62465	207	21	,	,	PUNCT
bibechana-62465	207	22	j.	j.	PROPN
bibechana-62465	207	23	zhu	zhu	PROPN
bibechana-62465	207	24	,	,	PUNCT
bibechana-62465	207	25	d.	d.	PROPN
bibechana-62465	207	26	huang	huang	PROPN
bibechana-62465	207	27	,	,	PUNCT
bibechana-62465	207	28	h.	h.	PROPN
bibechana-62465	207	29	qian	qian	PROPN
bibechana-62465	207	30	,	,	PUNCT
bibechana-62465	207	31	and	and	CCONJ
bibechana-62465	207	32	x.	x.	NOUN
bibechana-62465	207	33	lu	lu	PROPN
bibechana-62465	207	34	.	.	PUNCT
bibechana-62465	207	35	machine	machine	NOUN
bibechana-62465	207	36	learning	learn	VERB
bibechana-62465	207	37	prediction	prediction	NOUN
bibechana-62465	207	38	of	of	ADP
bibechana-62465	207	39	the	the	DET
bibechana-62465	207	40	yield	yield	NOUN
bibechana-62465	207	41	and	and	CCONJ
bibechana-62465	207	42	bet	bet	NOUN
bibechana-62465	207	43	area	area	NOUN
bibechana-62465	207	44	of	of	ADP
bibechana-62465	207	45	activated	activate	VERB
bibechana-62465	207	46	carbon	carbon	NOUN
bibechana-62465	207	47	quantitatively	quantitatively	ADV
bibechana-62465	207	48	relating	relate	VERB
bibechana-62465	207	49	to	to	ADP
bibechana-62465	207	50	biomass	biomass	NOUN
bibechana-62465	207	51	compositions	composition	NOUN
bibechana-62465	207	52	and	and	CCONJ
bibechana-62465	207	53	operating	operating	NOUN
bibechana-62465	207	54	conditions	condition	NOUN
bibechana-62465	207	55	.	.	PUNCT
bibechana-62465	208	1	industrial	industrial	PROPN
bibechana-62465	208	2	&	&	CCONJ
bibechana-62465	208	3	engineering	engineer	VERB
bibechana-62465	208	4	chemistry	chemistry	NOUN
bibechana-62465	208	5	research	research	NOUN
bibechana-62465	208	6	,	,	PUNCT
bibechana-62465	208	7	62:11016–11031	62:11016–11031	NUM
bibechana-62465	208	8	,	,	PUNCT
bibechana-62465	208	9	2023	2023	NUM
bibechana-62465	208	10	.	.	PUNCT
bibechana-62465	209	1	[	[	X
bibechana-62465	209	2	3	3	NUM
bibechana-62465	209	3	]	]	X
bibechana-62465	209	4	a.g	a.g	PROPN
bibechana-62465	209	5	.	.	PROPN
bibechana-62465	209	6	saad	saad	PROPN
bibechana-62465	209	7	,	,	PUNCT
bibechana-62465	209	8	a.	a.	PROPN
bibechana-62465	209	9	emad	emad	PROPN
bibechana-62465	209	10	-	-	PUNCT
bibechana-62465	209	11	eldeen	eldeen	PROPN
bibechana-62465	209	12	,	,	PUNCT
bibechana-62465	209	13	w.z	w.z	PROPN
bibechana-62465	209	14	.	.	PROPN
bibechana-62465	209	15	tawfik	tawfik	PROPN
bibechana-62465	209	16	,	,	PUNCT
bibechana-62465	209	17	and	and	CCONJ
bibechana-62465	209	18	a.g	a.g	PROPN
bibechana-62465	209	19	.	.	PROPN
bibechana-62465	209	20	el	el	PROPN
bibechana-62465	209	21	-	-	PUNCT
bibechana-62465	209	22	deen	deen	PROPN
bibechana-62465	209	23	.	.	PUNCT
bibechana-62465	209	24	data	data	NOUN
bibechana-62465	209	25	-	-	PUNCT
bibechana-62465	209	26	driven	drive	VERB
bibechana-62465	209	27	machine	machine	NOUN
bibechana-62465	209	28	learning	learn	VERB
bibechana-62465	209	29	approach	approach	NOUN
bibechana-62465	209	30	for	for	ADP
bibechana-62465	209	31	predicting	predict	VERB
bibechana-62465	209	32	the	the	DET
bibechana-62465	209	33	capacitance	capacitance	NOUN
bibechana-62465	209	34	of	of	ADP
bibechana-62465	209	35	graphene	graphene	NOUN
bibechana-62465	209	36	-	-	PUNCT
bibechana-62465	209	37	based	base	VERB
bibechana-62465	209	38	supercapacitor	supercapacitor	NOUN
bibechana-62465	209	39	electrodes	electrode	NOUN
bibechana-62465	209	40	.	.	PUNCT
bibechana-62465	210	1	journal	journal	NOUN
bibechana-62465	210	2	of	of	ADP
bibechana-62465	210	3	energy	energy	NOUN
bibechana-62465	210	4	storage	storage	NOUN
bibechana-62465	210	5	,	,	PUNCT
bibechana-62465	210	6	55:105411	55:105411	NUM
bibechana-62465	210	7	,	,	PUNCT
bibechana-62465	210	8	2022	2022	NUM
bibechana-62465	210	9	.	.	PUNCT
bibechana-62465	211	1	[	[	X
bibechana-62465	211	2	4	4	X
bibechana-62465	211	3	]	]	X
bibechana-62465	211	4	s.	s.	PROPN
bibechana-62465	211	5	jha	jha	PROPN
bibechana-62465	211	6	,	,	PUNCT
bibechana-62465	211	7	s.	s.	PROPN
bibechana-62465	211	8	bandyopadhyay	bandyopadhyay	PROPN
bibechana-62465	211	9	,	,	PUNCT
bibechana-62465	211	10	s.	s.	PROPN
bibechana-62465	211	11	mehta	mehta	PROPN
bibechana-62465	211	12	,	,	PUNCT
bibechana-62465	211	13	m.	m.	NOUN
bibechana-62465	211	14	yen	yen	NOUN
bibechana-62465	211	15	,	,	PUNCT
bibechana-62465	211	16	t.	t.	PROPN
bibechana-62465	211	17	chagouri	chagouri	PROPN
bibechana-62465	211	18	,	,	PUNCT
bibechana-62465	211	19	e.	e.	PROPN
bibechana-62465	211	20	palmer	palmer	PROPN
bibechana-62465	211	21	,	,	PUNCT
bibechana-62465	211	22	and	and	CCONJ
bibechana-62465	211	23	h.	h.	PROPN
bibechana-62465	211	24	liang	liang	PROPN
bibechana-62465	211	25	.	.	PUNCT
bibechana-62465	211	26	data	data	NOUN
bibechana-62465	211	27	-	-	PUNCT
bibechana-62465	211	28	driven	drive	VERB
bibechana-62465	211	29	predictive	predictive	ADJ
bibechana-62465	211	30	electrochemical	electrochemical	ADJ
bibechana-62465	211	31	behavior	behavior	NOUN
bibechana-62465	211	32	of	of	ADP
bibechana-62465	211	33	lignin	lignin	NOUN
bibechana-62465	211	34	-	-	PUNCT
bibechana-62465	211	35	based	base	VERB
bibechana-62465	211	36	supercapacitors	supercapacitor	NOUN
bibechana-62465	211	37	via	via	ADP
bibechana-62465	211	38	machine	machine	NOUN
bibechana-62465	211	39	learning	learning	NOUN
bibechana-62465	211	40	.	.	PUNCT
bibechana-62465	212	1	energy	energy	NOUN
bibechana-62465	212	2	&	&	CCONJ
bibechana-62465	212	3	fuels	fuel	NOUN
bibechana-62465	212	4	,	,	PUNCT
bibechana-62465	212	5	36:1052–1062	36:1052–1062	NUM
bibechana-62465	212	6	,	,	PUNCT
bibechana-62465	212	7	2021	2021	NUM
bibechana-62465	212	8	.	.	PUNCT
bibechana-62465	213	1	[	[	X
bibechana-62465	213	2	5	5	X
bibechana-62465	213	3	]	]	X
bibechana-62465	213	4	h.	h.	PROPN
bibechana-62465	213	5	su	su	PROPN
bibechana-62465	213	6	,	,	PUNCT
bibechana-62465	213	7	s.	s.	PROPN
bibechana-62465	213	8	lin	lin	PROPN
bibechana-62465	213	9	,	,	PUNCT
bibechana-62465	213	10	s.	s.	PROPN
bibechana-62465	213	11	deng	deng	PROPN
bibechana-62465	213	12	,	,	PUNCT
bibechana-62465	213	13	c.	c.	PROPN
bibechana-62465	213	14	lian	lian	PROPN
bibechana-62465	213	15	,	,	PUNCT
bibechana-62465	213	16	y.	y.	PROPN
bibechana-62465	213	17	shang	shang	PROPN
bibechana-62465	213	18	,	,	PUNCT
bibechana-62465	213	19	and	and	CCONJ
bibechana-62465	213	20	h.	h.	PROPN
bibechana-62465	213	21	liu	liu	PROPN
bibechana-62465	213	22	.	.	PUNCT
bibechana-62465	213	23	predicting	predict	VERB
bibechana-62465	213	24	the	the	DET
bibechana-62465	213	25	capacitance	capacitance	NOUN
bibechana-62465	213	26	of	of	ADP
bibechana-62465	213	27	carbonbased	carbonbase	VERB
bibechana-62465	213	28	electric	electric	ADJ
bibechana-62465	213	29	double	double	ADJ
bibechana-62465	213	30	layer	layer	NOUN
bibechana-62465	213	31	capacitors	capacitor	NOUN
bibechana-62465	213	32	by	by	ADP
bibechana-62465	213	33	machine	machine	NOUN
bibechana-62465	213	34	learning	learning	NOUN
bibechana-62465	213	35	.	.	PUNCT
bibechana-62465	214	1	nanoscale	nanoscale	NOUN
bibechana-62465	214	2	advances	advance	NOUN
bibechana-62465	214	3	,	,	PUNCT
bibechana-62465	214	4	1:2162	1:2162	NUM
bibechana-62465	214	5	–	–	PUNCT
bibechana-62465	214	6	2166	2166	NUM
bibechana-62465	214	7	,	,	PUNCT
bibechana-62465	214	8	2019	2019	NUM
bibechana-62465	214	9	.	.	PUNCT
bibechana-62465	215	1	[	[	X
bibechana-62465	215	2	6	6	NUM
bibechana-62465	215	3	]	]	PUNCT
bibechana-62465	215	4	j.	j.	PROPN
bibechana-62465	215	5	abdi	abdi	PROPN
bibechana-62465	215	6	,	,	PUNCT
bibechana-62465	215	7	t.	t.	PROPN
bibechana-62465	215	8	pirhoushyaran	pirhoushyaran	NOUN
bibechana-62465	215	9	,	,	PUNCT
bibechana-62465	215	10	f.	f.	PROPN
bibechana-62465	215	11	hadavimoghaddam	hadavimoghaddam	PROPN
bibechana-62465	215	12	,	,	PUNCT
bibechana-62465	215	13	s.a	s.a	PROPN
bibechana-62465	215	14	.	.	PROPN
bibechana-62465	215	15	madani	madani	PROPN
bibechana-62465	215	16	,	,	PUNCT
bibechana-62465	215	17	a.	a.	PROPN
bibechana-62465	215	18	hemmati	hemmati	NOUN
bibechana-62465	215	19	-	-	PUNCT
bibechana-62465	215	20	sarapardeh	sarapardeh	NOUN
bibechana-62465	215	21	,	,	PUNCT
bibechana-62465	215	22	and	and	CCONJ
bibechana-62465	215	23	s.h	s.h	PROPN
bibechana-62465	215	24	.	.	PROPN
bibechana-62465	215	25	esmaeili	esmaeili	NOUN
bibechana-62465	215	26	-	-	PUNCT
bibechana-62465	215	27	faraj	faraj	NOUN
bibechana-62465	215	28	.	.	PUNCT
bibechana-62465	216	1	modeling	modeling	NOUN
bibechana-62465	216	2	of	of	ADP
bibechana-62465	216	3	capacitance	capacitance	NOUN
bibechana-62465	216	4	for	for	ADP
bibechana-62465	216	5	carbon	carbon	NOUN
bibechana-62465	216	6	-	-	PUNCT
bibechana-62465	216	7	based	base	VERB
bibechana-62465	216	8	supercapacitors	supercapacitor	NOUN
bibechana-62465	216	9	using	use	VERB
bibechana-62465	216	10	super	super	ADJ
bibechana-62465	216	11	learner	learner	NOUN
bibechana-62465	216	12	algorithm	algorithm	NOUN
bibechana-62465	216	13	.	.	PUNCT
bibechana-62465	217	1	journal	journal	PROPN
bibechana-62465	217	2	of	of	ADP
bibechana-62465	217	3	energy	energy	NOUN
bibechana-62465	217	4	storage	storage	NOUN
bibechana-62465	217	5	,	,	PUNCT
bibechana-62465	217	6	66:107376	66:107376	NOUN
bibechana-62465	217	7	,	,	PUNCT
bibechana-62465	217	8	2023	2023	NUM
bibechana-62465	217	9	.	.	PUNCT
bibechana-62465	218	1	[	[	X
bibechana-62465	218	2	7	7	X
bibechana-62465	218	3	]	]	X
bibechana-62465	218	4	c.l	c.l	PROPN
bibechana-62465	218	5	.	.	PROPN
bibechana-62465	218	6	gnawali	gnawali	PROPN
bibechana-62465	218	7	,	,	PUNCT
bibechana-62465	218	8	s.	s.	PROPN
bibechana-62465	218	9	shahi	shahi	PROPN
bibechana-62465	218	10	,	,	PUNCT
bibechana-62465	218	11	s.	s.	PROPN
bibechana-62465	218	12	manandhar	manandhar	PROPN
bibechana-62465	218	13	,	,	PUNCT
bibechana-62465	218	14	g.k	g.k	PROPN
bibechana-62465	218	15	.	.	PROPN
bibechana-62465	218	16	shrestha	shrestha	PROPN
bibechana-62465	218	17	,	,	PUNCT
bibechana-62465	218	18	m.p	m.p	PROPN
bibechana-62465	218	19	.	.	PROPN
bibechana-62465	218	20	adhikari	adhikari	PROPN
bibechana-62465	218	21	,	,	PUNCT
bibechana-62465	218	22	r.	r.	PROPN
bibechana-62465	218	23	rajbhandari	rajbhandari	PROPN
bibechana-62465	218	24	,	,	PUNCT
bibechana-62465	218	25	and	and	CCONJ
bibechana-62465	218	26	b.p	b.p	PROPN
bibechana-62465	218	27	.	.	PROPN
bibechana-62465	218	28	pokharel	pokharel	PROPN
bibechana-62465	218	29	.	.	PUNCT
bibechana-62465	219	1	porous	porous	ADJ
bibechana-62465	219	2	activated	activate	VERB
bibechana-62465	219	3	carbon	carbon	NOUN
bibechana-62465	219	4	materials	material	NOUN
bibechana-62465	219	5	from	from	ADP
bibechana-62465	219	6	triphala	triphala	NOUN
bibechana-62465	219	7	seed	seed	NOUN
bibechana-62465	219	8	stones	stone	NOUN
bibechana-62465	219	9	for	for	ADP
bibechana-62465	219	10	high	high	ADJ
bibechana-62465	219	11	-	-	PUNCT
bibechana-62465	219	12	performance	performance	NOUN
bibechana-62465	219	13	supercapacitor	supercapacitor	NOUN
bibechana-62465	219	14	applications	application	NOUN
bibechana-62465	219	15	.	.	PUNCT
bibechana-62465	220	1	bibechana	bibechana	PROPN
bibechana-62465	220	2	,	,	PUNCT
bibechana-62465	220	3	20(1):10–20	20(1):10–20	NUM
bibechana-62465	220	4	,	,	PUNCT
bibechana-62465	220	5	2023	2023	NUM
bibechana-62465	220	6	.	.	PUNCT
bibechana-62465	221	1	[	[	X
bibechana-62465	221	2	8	8	NUM
bibechana-62465	221	3	]	]	X
bibechana-62465	221	4	r.	r.	PROPN
bibechana-62465	221	5	dubey	dubey	PROPN
bibechana-62465	221	6	and	and	CCONJ
bibechana-62465	221	7	v.	v.	ADP
bibechana-62465	221	8	guruviah	guruviah	PROPN
bibechana-62465	221	9	.	.	PUNCT
bibechana-62465	222	1	machine	machine	NOUN
bibechana-62465	222	2	learning	learning	NOUN
bibechana-62465	222	3	enabled	enable	VERB
bibechana-62465	222	4	performance	performance	NOUN
bibechana-62465	222	5	prediction	prediction	NOUN
bibechana-62465	222	6	of	of	ADP
bibechana-62465	222	7	biomassderived	biomassderive	VERB
bibechana-62465	222	8	electrodes	electrode	NOUN
bibechana-62465	222	9	for	for	ADP
bibechana-62465	222	10	asymmetric	asymmetric	ADJ
bibechana-62465	222	11	supercapacitor	supercapacitor	NOUN
bibechana-62465	222	12	.	.	PUNCT
bibechana-62465	223	1	in	in	ADP
bibechana-62465	223	2	international	international	ADJ
bibechana-62465	223	3	conference	conference	NOUN
bibechana-62465	223	4	on	on	ADP
bibechana-62465	223	5	futuristic	futuristic	ADJ
bibechana-62465	223	6	communication	communication	NOUN
bibechana-62465	223	7	and	and	CCONJ
bibechana-62465	223	8	network	network	NOUN
bibechana-62465	223	9	technologies	technology	NOUN
bibechana-62465	223	10	,	,	PUNCT
bibechana-62465	223	11	volume	volume	NOUN
bibechana-62465	223	12	995	995	NUM
bibechana-62465	223	13	,	,	PUNCT
bibechana-62465	223	14	pages	page	NOUN
bibechana-62465	223	15	453–460	453–460	NUM
bibechana-62465	223	16	,	,	PUNCT
bibechana-62465	223	17	2021	2021	NUM
bibechana-62465	223	18	.	.	PUNCT
bibechana-62465	224	1	[	[	X
bibechana-62465	224	2	9	9	NUM
bibechana-62465	224	3	]	]	PUNCT
bibechana-62465	224	4	l.	l.	PROPN
bibechana-62465	224	5	leng	leng	PROPN
bibechana-62465	224	6	,	,	PUNCT
bibechana-62465	224	7	l.	l.	PROPN
bibechana-62465	224	8	yang	yang	PROPN
bibechana-62465	224	9	,	,	PUNCT
bibechana-62465	224	10	x.	x.	PROPN
bibechana-62465	224	11	lei	lei	PROPN
bibechana-62465	224	12	,	,	PUNCT
bibechana-62465	224	13	w.	w.	PROPN
bibechana-62465	224	14	zhang	zhang	PROPN
bibechana-62465	224	15	,	,	PUNCT
bibechana-62465	224	16	z.	z.	PROPN
bibechana-62465	224	17	ai	ai	PROPN
bibechana-62465	224	18	,	,	PUNCT
bibechana-62465	224	19	z.	z.	PROPN
bibechana-62465	224	20	yang	yang	PROPN
bibechana-62465	224	21	,	,	PUNCT
bibechana-62465	224	22	h.	h.	PROPN
bibechana-62465	224	23	zhan	zhan	PROPN
bibechana-62465	224	24	,	,	PUNCT
bibechana-62465	224	25	j.	j.	PROPN
bibechana-62465	224	26	yang	yang	PROPN
bibechana-62465	224	27	,	,	PUNCT
bibechana-62465	224	28	x.	x.	PROPN
bibechana-62465	224	29	yuan	yuan	PROPN
bibechana-62465	224	30	,	,	PUNCT
bibechana-62465	224	31	and	and	CCONJ
bibechana-62465	224	32	h.	h.	PROPN
bibechana-62465	224	33	peng	peng	PROPN
bibechana-62465	224	34	.	.	PUNCT
bibechana-62465	225	1	machine	machine	NOUN
bibechana-62465	225	2	learning	learning	NOUN
bibechana-62465	225	3	predicting	predict	VERB
bibechana-62465	225	4	and	and	CCONJ
bibechana-62465	225	5	engineering	engineer	VERB
bibechana-62465	225	6	the	the	DET
bibechana-62465	225	7	yield	yield	NOUN
bibechana-62465	225	8	,	,	PUNCT
bibechana-62465	225	9	n	n	PRON
bibechana-62465	225	10	content	content	NOUN
bibechana-62465	225	11	,	,	PUNCT
bibechana-62465	225	12	and	and	CCONJ
bibechana-62465	225	13	specific	specific	ADJ
bibechana-62465	225	14	surface	surface	NOUN
bibechana-62465	225	15	area	area	NOUN
bibechana-62465	225	16	of	of	ADP
bibechana-62465	225	17	biochar	biochar	NOUN
bibechana-62465	225	18	derived	derive	VERB
bibechana-62465	225	19	from	from	ADP
bibechana-62465	225	20	pyrolysis	pyrolysis	NOUN
bibechana-62465	225	21	of	of	ADP
bibechana-62465	225	22	biomass	biomass	NOUN
bibechana-62465	225	23	.	.	PUNCT
bibechana-62465	226	1	biochar	biochar	NOUN
bibechana-62465	226	2	,	,	PUNCT
bibechana-62465	226	3	4:63	4:63	NUM
bibechana-62465	226	4	,	,	PUNCT
bibechana-62465	226	5	2022	2022	NUM
bibechana-62465	226	6	.	.	PUNCT
bibechana-62465	227	1	[	[	X
bibechana-62465	227	2	10	10	NUM
bibechana-62465	227	3	]	]	X
bibechana-62465	227	4	c.l	c.l	PROPN
bibechana-62465	227	5	.	.	PROPN
bibechana-62465	227	6	gnawali	gnawali	PROPN
bibechana-62465	227	7	,	,	PUNCT
bibechana-62465	227	8	l.k	l.k	PROPN
bibechana-62465	227	9	.	.	PROPN
bibechana-62465	227	10	shrestha	shrestha	PROPN
bibechana-62465	227	11	,	,	PUNCT
bibechana-62465	227	12	j.p	j.p	PROPN
bibechana-62465	227	13	.	.	PROPN
bibechana-62465	227	14	hill	hill	PROPN
bibechana-62465	227	15	,	,	PUNCT
bibechana-62465	227	16	r.	r.	PROPN
bibechana-62465	227	17	ma	ma	PROPN
bibechana-62465	227	18	,	,	PUNCT
bibechana-62465	227	19	k.	k.	PROPN
bibechana-62465	227	20	ariga	ariga	PROPN
bibechana-62465	227	21	,	,	PUNCT
bibechana-62465	227	22	m.p	m.p	PROPN
bibechana-62465	227	23	.	.	PROPN
bibechana-62465	227	24	adhikari	adhikari	PROPN
bibechana-62465	227	25	,	,	PUNCT
bibechana-62465	227	26	r.	r.	PROPN
bibechana-62465	227	27	rajbhandari	rajbhandari	PROPN
bibechana-62465	227	28	,	,	PUNCT
bibechana-62465	227	29	and	and	CCONJ
bibechana-62465	227	30	b.p	b.p	PROPN
bibechana-62465	227	31	.	.	PROPN
bibechana-62465	227	32	pokharel	pokharel	PROPN
bibechana-62465	227	33	.	.	PUNCT
bibechana-62465	228	1	nanoporous	nanoporous	ADJ
bibechana-62465	228	2	activated	activate	VERB
bibechana-62465	228	3	carbon	carbon	NOUN
bibechana-62465	228	4	material	material	NOUN
bibechana-62465	228	5	from	from	ADP
bibechana-62465	228	6	terminalia	terminalia	PROPN
bibechana-62465	228	7	chebula	chebula	PROPN
bibechana-62465	228	8	seed	seed	NOUN
bibechana-62465	228	9	for	for	ADP
bibechana-62465	228	10	supercapacitor	supercapacitor	NOUN
bibechana-62465	228	11	application	application	NOUN
bibechana-62465	228	12	.	.	PUNCT
bibechana-62465	229	1	journal	journal	PROPN
bibechana-62465	229	2	of	of	ADP
bibechana-62465	229	3	carbon	carbon	NOUN
bibechana-62465	229	4	research	research	NOUN
bibechana-62465	229	5	,	,	PUNCT
bibechana-62465	229	6	9:109	9:109	NUM
bibechana-62465	229	7	,	,	PUNCT
bibechana-62465	229	8	2023	2023	NUM
bibechana-62465	229	9	.	.	PUNCT
bibechana-62465	230	1	[	[	X
bibechana-62465	230	2	11	11	NUM
bibechana-62465	230	3	]	]	X
bibechana-62465	230	4	h.	h.	PROPN
bibechana-62465	230	5	thanh	thanh	PROPN
bibechana-62465	230	6	,	,	PUNCT
bibechana-62465	230	7	s.e	s.e	PROPN
bibechana-62465	230	8	.	.	PROPN
bibechana-62465	230	9	taremsari	taremsari	PROPN
bibechana-62465	230	10	,	,	PUNCT
bibechana-62465	230	11	b.	b.	PROPN
bibechana-62465	230	12	ranjbar	ranjbar	PROPN
bibechana-62465	230	13	,	,	PUNCT
bibechana-62465	230	14	h.	h.	PROPN
bibechana-62465	230	15	mashhadi	mashhadi	NOUN
bibechana-62465	230	16	-	-	PUNCT
bibechana-62465	230	17	moslem	moslem	PROPN
bibechana-62465	230	18	,	,	PUNCT
bibechana-62465	230	19	e.	e.	PROPN
bibechana-62465	230	20	rahimi	rahimi	PROPN
bibechana-62465	230	21	,	,	PUNCT
bibechana-62465	230	22	m.	m.	NOUN
bibechana-62465	230	23	rahimi	rahimi	NOUN
bibechana-62465	230	24	,	,	PUNCT
bibechana-62465	230	25	and	and	CCONJ
bibechana-62465	230	26	a.	a.	PROPN
bibechana-62465	230	27	elkamel	elkamel	PROPN
bibechana-62465	230	28	.	.	PUNCT
bibechana-62465	231	1	hydrogen	hydrogen	NOUN
bibechana-62465	231	2	storage	storage	NOUN
bibechana-62465	231	3	on	on	ADP
bibechana-62465	231	4	porous	porous	ADJ
bibechana-62465	231	5	carbon	carbon	NOUN
bibechana-62465	231	6	adsorbents	adsorbent	NOUN
bibechana-62465	231	7	:	:	PUNCT
bibechana-62465	231	8	rediscovery	rediscovery	ADJ
bibechana-62465	231	9	by	by	ADP
bibechana-62465	231	10	naturederived	naturederived	ADJ
bibechana-62465	231	11	algorithms	algorithm	NOUN
bibechana-62465	231	12	in	in	ADP
bibechana-62465	231	13	random	random	ADJ
bibechana-62465	231	14	forest	forest	NOUN
bibechana-62465	231	15	machine	machine	NOUN
bibechana-62465	231	16	learning	learn	VERB
bibechana-62465	231	17	model	model	NOUN
bibechana-62465	231	18	.	.	PUNCT
bibechana-62465	232	1	energies	energy	NOUN
bibechana-62465	232	2	,	,	PUNCT
bibechana-62465	232	3	16:2348	16:2348	NUM
bibechana-62465	232	4	,	,	PUNCT
bibechana-62465	232	5	2023	2023	NUM
bibechana-62465	232	6	.	.	PUNCT
bibechana-62465	233	1	[	[	X
bibechana-62465	233	2	12	12	NUM
bibechana-62465	233	3	]	]	PUNCT
bibechana-62465	233	4	s.	s.	PROPN
bibechana-62465	233	5	zhu	zhu	PROPN
bibechana-62465	233	6	,	,	PUNCT
bibechana-62465	233	7	j.	j.	PROPN
bibechana-62465	233	8	li	li	PROPN
bibechana-62465	233	9	,	,	PUNCT
bibechana-62465	233	10	l.	l.	PROPN
bibechana-62465	233	11	ma	ma	PROPN
bibechana-62465	233	12	,	,	PUNCT
bibechana-62465	233	13	c.	c.	PROPN
bibechana-62465	233	14	he	he	PROPN
bibechana-62465	233	15	,	,	PUNCT
bibechana-62465	233	16	e.	e.	PROPN
bibechana-62465	233	17	liu	liu	PROPN
bibechana-62465	233	18	,	,	PUNCT
bibechana-62465	233	19	f.	f.	PROPN
bibechana-62465	233	20	he	he	PRON
bibechana-62465	233	21	,	,	PUNCT
bibechana-62465	233	22	c.	c.	PROPN
bibechana-62465	233	23	shi	shi	PROPN
bibechana-62465	233	24	,	,	PUNCT
bibechana-62465	233	25	and	and	CCONJ
bibechana-62465	233	26	n.	n.	PROPN
bibechana-62465	233	27	zhao	zhao	PROPN
bibechana-62465	233	28	.	.	PUNCT
bibechana-62465	234	1	artificial	artificial	ADJ
bibechana-62465	234	2	neural	neural	ADJ
bibechana-62465	234	3	network	network	NOUN
bibechana-62465	234	4	enabled	enable	VERB
bibechana-62465	234	5	capacitance	capacitance	NOUN
bibechana-62465	234	6	prediction	prediction	NOUN
bibechana-62465	234	7	for	for	ADP
bibechana-62465	234	8	carbon	carbon	NOUN
bibechana-62465	234	9	based	base	VERB
bibechana-62465	234	10	supercapacitors	supercapacitor	NOUN
bibechana-62465	234	11	.	.	PUNCT
bibechana-62465	235	1	materials	material	NOUN
bibechana-62465	235	2	letters	letter	NOUN
bibechana-62465	235	3	,	,	PUNCT
bibechana-62465	235	4	233:294–297	233:294–297	NUM
bibechana-62465	235	5	,	,	PUNCT
bibechana-62465	235	6	2018	2018	NUM
bibechana-62465	235	7	.	.	PUNCT
bibechana-62465	236	1	kirti	kirti	PROPN
bibechana-62465	236	2	bir	bir	PROPN
bibechana-62465	236	3	rajguru	rajguru	PROPN
bibechana-62465	236	4	et	et	PROPN
bibechana-62465	236	5	al./	al./	ADV
bibechana-62465	236	6	bibechana	bibechana	PROPN
bibechana-62465	236	7	21	21	NUM
bibechana-62465	236	8	(	(	PUNCT
bibechana-62465	236	9	2024	2024	NUM
bibechana-62465	236	10	)	)	PUNCT
bibechana-62465	236	11	159	159	NUM
bibechana-62465	236	12	-	-	SYM
bibechana-62465	236	13	170	170	NUM
bibechana-62465	236	14	169	169	NUM
bibechana-62465	236	15	[	[	X
bibechana-62465	236	16	13	13	NUM
bibechana-62465	236	17	]	]	PUNCT
bibechana-62465	236	18	j.	j.	PROPN
bibechana-62465	236	19	wang	wang	PROPN
bibechana-62465	236	20	,	,	PUNCT
bibechana-62465	236	21	z.	z.	PROPN
bibechana-62465	236	22	li	li	PROPN
bibechana-62465	236	23	,	,	PUNCT
bibechana-62465	236	24	s.	s.	PROPN
bibechana-62465	236	25	yan	yan	PROPN
bibechana-62465	236	26	,	,	PUNCT
bibechana-62465	236	27	x.	x.	PROPN
bibechana-62465	236	28	yu	yu	PROPN
bibechana-62465	236	29	,	,	PUNCT
bibechana-62465	236	30	y.	y.	PROPN
bibechana-62465	236	31	ma	ma	PROPN
bibechana-62465	236	32	,	,	PUNCT
bibechana-62465	236	33	and	and	CCONJ
bibechana-62465	236	34	l.	l.	PROPN
bibechana-62465	236	35	ma	ma	PROPN
bibechana-62465	236	36	.	.	PROPN
bibechana-62465	237	1	modifying	modify	VERB
bibechana-62465	237	2	the	the	DET
bibechana-62465	237	3	microstructure	microstructure	NOUN
bibechana-62465	237	4	of	of	ADP
bibechana-62465	237	5	algaebased	algaebase	VERB
bibechana-62465	237	6	active	active	ADJ
bibechana-62465	237	7	carbon	carbon	NOUN
bibechana-62465	237	8	and	and	CCONJ
bibechana-62465	237	9	modelling	model	VERB
bibechana-62465	237	10	supercapacitors	supercapacitor	NOUN
bibechana-62465	237	11	using	use	VERB
bibechana-62465	237	12	artificial	artificial	ADJ
bibechana-62465	237	13	neural	neural	ADJ
bibechana-62465	237	14	networks	network	NOUN
bibechana-62465	237	15	.	.	PUNCT
bibechana-62465	238	1	rsc	rsc	PROPN
bibechana-62465	238	2	advances	advance	NOUN
bibechana-62465	238	3	,	,	PUNCT
bibechana-62465	238	4	9:14797–14808	9:14797–14808	NUM
bibechana-62465	238	5	,	,	PUNCT
bibechana-62465	238	6	2019	2019	NUM
bibechana-62465	238	7	.	.	PUNCT
bibechana-62465	239	1	[	[	X
bibechana-62465	239	2	14	14	NUM
bibechana-62465	239	3	]	]	PUNCT
bibechana-62465	239	4	x.	x.	PROPN
bibechana-62465	239	5	yang	yang	PROPN
bibechana-62465	239	6	,	,	PUNCT
bibechana-62465	239	7	c.	c.	PROPN
bibechana-62465	239	8	yuan	yuan	PROPN
bibechana-62465	239	9	,	,	PUNCT
bibechana-62465	239	10	s.	s.	PROPN
bibechana-62465	239	11	he	he	PRON
bibechana-62465	239	12	,	,	PUNCT
bibechana-62465	239	13	d.	d.	PROPN
bibechana-62465	239	14	jiang	jiang	PROPN
bibechana-62465	239	15	,	,	PUNCT
bibechana-62465	239	16	b.	b.	PROPN
bibechana-62465	239	17	cao	cao	PROPN
bibechana-62465	239	18	,	,	PUNCT
bibechana-62465	239	19	and	and	CCONJ
bibechana-62465	239	20	s.	s.	PROPN
bibechana-62465	239	21	wang	wang	PROPN
bibechana-62465	239	22	.	.	PUNCT
bibechana-62465	240	1	machine	machine	NOUN
bibechana-62465	240	2	learning	learn	VERB
bibechana-62465	240	3	prediction	prediction	NOUN
bibechana-62465	240	4	of	of	ADP
bibechana-62465	240	5	specific	specific	ADJ
bibechana-62465	240	6	capacitance	capacitance	NOUN
bibechana-62465	240	7	in	in	ADP
bibechana-62465	240	8	biomass	biomass	NOUN
bibechana-62465	240	9	derived	derive	VERB
bibechana-62465	240	10	carbon	carbon	NOUN
bibechana-62465	240	11	materials	material	NOUN
bibechana-62465	240	12	:	:	PUNCT
bibechana-62465	240	13	effects	effect	NOUN
bibechana-62465	240	14	of	of	ADP
bibechana-62465	240	15	activation	activation	NOUN
bibechana-62465	240	16	and	and	CCONJ
bibechana-62465	240	17	biochar	biochar	NOUN
bibechana-62465	240	18	characteristics	characteristic	NOUN
bibechana-62465	240	19	.	.	PUNCT
bibechana-62465	241	1	fuel	fuel	NOUN
bibechana-62465	241	2	,	,	PUNCT
bibechana-62465	241	3	331:125718	331:125718	NUM
bibechana-62465	241	4	,	,	PUNCT
bibechana-62465	241	5	2023	2023	NUM
bibechana-62465	241	6	.	.	PUNCT
bibechana-62465	242	1	[	[	X
bibechana-62465	242	2	15	15	NUM
bibechana-62465	242	3	]	]	PUNCT
bibechana-62465	242	4	z.	z.	PROPN
bibechana-62465	242	5	yang	yang	PROPN
bibechana-62465	242	6	,	,	PUNCT
bibechana-62465	242	7	y.	y.	PROPN
bibechana-62465	242	8	lin	lin	PROPN
bibechana-62465	242	9	,	,	PUNCT
bibechana-62465	242	10	x.	x.	NOUN
bibechana-62465	242	11	gu	gu	PROPN
bibechana-62465	242	12	,	,	PUNCT
bibechana-62465	242	13	and	and	CCONJ
bibechana-62465	242	14	x.	x.	PROPN
bibechana-62465	242	15	liang	liang	PROPN
bibechana-62465	242	16	.	.	PUNCT
bibechana-62465	242	17	prediction	prediction	NOUN
bibechana-62465	242	18	and	and	CCONJ
bibechana-62465	242	19	optimization	optimization	NOUN
bibechana-62465	242	20	model	model	NOUN
bibechana-62465	242	21	of	of	ADP
bibechana-62465	242	22	activated	activate	VERB
bibechana-62465	242	23	carbon	carbon	NOUN
bibechana-62465	242	24	double	double	ADJ
bibechana-62465	242	25	layer	layer	NOUN
bibechana-62465	242	26	capacitors	capacitor	NOUN
bibechana-62465	242	27	based	base	VERB
bibechana-62465	242	28	on	on	ADP
bibechana-62465	242	29	improved	improve	VERB
bibechana-62465	242	30	heuristic	heuristic	ADJ
bibechana-62465	242	31	approach	approach	NOUN
bibechana-62465	242	32	genetic	genetic	ADJ
bibechana-62465	242	33	algorithm	algorithm	NOUN
bibechana-62465	242	34	neural	neural	ADJ
bibechana-62465	242	35	network	network	NOUN
bibechana-62465	242	36	.	.	PUNCT
bibechana-62465	243	1	engineering	engineering	NOUN
bibechana-62465	243	2	computations	computation	NOUN
bibechana-62465	243	3	,	,	PUNCT
bibechana-62465	243	4	35:1625–1638	35:1625–1638	NUM
bibechana-62465	243	5	,	,	PUNCT
bibechana-62465	243	6	2018	2018	NUM
bibechana-62465	243	7	.	.	PUNCT
bibechana-62465	244	1	[	[	X
bibechana-62465	244	2	16	16	NUM
bibechana-62465	244	3	]	]	PUNCT
bibechana-62465	244	4	m.	m.	NOUN
bibechana-62465	244	5	rahimi	rahimi	NOUN
bibechana-62465	244	6	,	,	PUNCT
bibechana-62465	244	7	m.h	m.h	PROPN
bibechana-62465	244	8	.	.	PROPN
bibechana-62465	244	9	abbaspour	abbaspour	NOUN
bibechana-62465	244	10	-	-	PUNCT
bibechana-62465	244	11	fard	fard	NOUN
bibechana-62465	244	12	,	,	PUNCT
bibechana-62465	244	13	and	and	CCONJ
bibechana-62465	244	14	a.	a.	NOUN
bibechana-62465	244	15	rohani	rohani	PROPN
bibechana-62465	244	16	.	.	PUNCT
bibechana-62465	245	1	machine	machine	NOUN
bibechana-62465	245	2	learning	learn	VERB
bibechana-62465	245	3	approaches	approach	NOUN
bibechana-62465	245	4	to	to	ADP
bibechana-62465	245	5	rediscovery	rediscovery	NOUN
bibechana-62465	245	6	and	and	CCONJ
bibechana-62465	245	7	optimization	optimization	NOUN
bibechana-62465	245	8	of	of	ADP
bibechana-62465	245	9	hydrogen	hydrogen	NOUN
bibechana-62465	245	10	storage	storage	NOUN
bibechana-62465	245	11	on	on	ADP
bibechana-62465	245	12	porous	porous	ADJ
bibechana-62465	245	13	bio	bio	ADJ
bibechana-62465	245	14	-	-	ADJ
bibechana-62465	245	15	derived	derived	ADJ
bibechana-62465	245	16	carbon	carbon	NOUN
bibechana-62465	245	17	.	.	PUNCT
bibechana-62465	246	1	journal	journal	PROPN
bibechana-62465	246	2	of	of	ADP
bibechana-62465	246	3	cleaner	clean	ADJ
bibechana-62465	246	4	production	production	NOUN
bibechana-62465	246	5	,	,	PUNCT
bibechana-62465	246	6	329:129714	329:129714	NUM
bibechana-62465	246	7	,	,	PUNCT
bibechana-62465	246	8	2021	2021	NUM
bibechana-62465	246	9	.	.	PUNCT
bibechana-62465	247	1	[	[	X
bibechana-62465	247	2	17	17	NUM
bibechana-62465	247	3	]	]	PUNCT
bibechana-62465	247	4	k.	k.	PROPN
bibechana-62465	248	1	donthula	donthula	PROPN
bibechana-62465	248	2	,	,	PUNCT
bibechana-62465	248	3	n.	n.	PROPN
bibechana-62465	248	4	thota	thota	NOUN
bibechana-62465	248	5	,	,	PUNCT
bibechana-62465	248	6	s.b	s.b	PROPN
bibechana-62465	248	7	.	.	PROPN
bibechana-62465	248	8	anne	anne	PROPN
bibechana-62465	248	9	,	,	PUNCT
bibechana-62465	248	10	and	and	CCONJ
bibechana-62465	248	11	m.	m.	PROPN
bibechana-62465	248	12	kakunuri	kakunuri	PROPN
bibechana-62465	248	13	.	.	PROPN
bibechana-62465	249	1	prediction	prediction	NOUN
bibechana-62465	249	2	of	of	ADP
bibechana-62465	249	3	capacitance	capacitance	NOUN
bibechana-62465	249	4	using	use	VERB
bibechana-62465	249	5	artificial	artificial	ADJ
bibechana-62465	249	6	neural	neural	ADJ
bibechana-62465	249	7	networks	network	NOUN
bibechana-62465	249	8	for	for	ADP
bibechana-62465	249	9	carbon	carbon	NOUN
bibechana-62465	249	10	nanofiberbased	nanofiberbase	VERB
bibechana-62465	249	11	supercapacitors	supercapacitor	NOUN
bibechana-62465	249	12	.	.	PUNCT
bibechana-62465	250	1	in	in	ADP
bibechana-62465	250	2	computer	computer	NOUN
bibechana-62465	250	3	aided	aid	VERB
bibechana-62465	250	4	chemical	chemical	NOUN
bibechana-62465	250	5	engineering	engineering	NOUN
bibechana-62465	250	6	,	,	PUNCT
bibechana-62465	250	7	volume	volume	NOUN
bibechana-62465	250	8	52	52	NUM
bibechana-62465	250	9	,	,	PUNCT
bibechana-62465	250	10	pages	page	NOUN
bibechana-62465	250	11	1015	1015	NUM
bibechana-62465	250	12	–	–	PUNCT
bibechana-62465	250	13	1020	1020	NUM
bibechana-62465	250	14	,	,	PUNCT
bibechana-62465	250	15	2023	2023	NUM
bibechana-62465	250	16	.	.	PUNCT
bibechana-62465	251	1	[	[	X
bibechana-62465	251	2	18	18	NUM
bibechana-62465	251	3	]	]	PUNCT
bibechana-62465	251	4	a.	a.	NOUN
bibechana-62465	251	5	albalasmeh	albalasmeh	PROPN
bibechana-62465	251	6	,	,	PUNCT
bibechana-62465	251	7	m.a	m.a	PROPN
bibechana-62465	251	8	.	.	PROPN
bibechana-62465	251	9	gharaibeh	gharaibeh	NOUN
bibechana-62465	251	10	,	,	PUNCT
bibechana-62465	251	11	o.	o.	PROPN
bibechana-62465	251	12	mohawesh	mohawesh	PROPN
bibechana-62465	251	13	,	,	PUNCT
bibechana-62465	251	14	m.	m.	NOUN
bibechana-62465	251	15	alajlouni	alajlouni	PROPN
bibechana-62465	251	16	,	,	PUNCT
bibechana-62465	251	17	m.	m.	NOUN
bibechana-62465	251	18	quzaih	quzaih	PROPN
bibechana-62465	251	19	,	,	PUNCT
bibechana-62465	251	20	m.	m.	NOUN
bibechana-62465	251	21	masad	masad	PROPN
bibechana-62465	251	22	,	,	PUNCT
bibechana-62465	251	23	and	and	CCONJ
bibechana-62465	251	24	a.	a.	PROPN
bibechana-62465	251	25	el	el	PROPN
bibechana-62465	251	26	hanandeh	hanandeh	PROPN
bibechana-62465	251	27	.	.	PUNCT
bibechana-62465	252	1	characterization	characterization	NOUN
bibechana-62465	252	2	and	and	CCONJ
bibechana-62465	252	3	artificial	artificial	ADJ
bibechana-62465	252	4	neural	neural	ADJ
bibechana-62465	252	5	networks	network	NOUN
bibechana-62465	252	6	modelling	modelling	NOUN
bibechana-62465	252	7	of	of	ADP
bibechana-62465	252	8	methylene	methylene	ADJ
bibechana-62465	252	9	blue	blue	ADJ
bibechana-62465	252	10	adsorption	adsorption	NOUN
bibechana-62465	252	11	of	of	ADP
bibechana-62465	252	12	biochar	biochar	NOUN
bibechana-62465	252	13	derived	derive	VERB
bibechana-62465	252	14	from	from	ADP
bibechana-62465	252	15	agricultural	agricultural	ADJ
bibechana-62465	252	16	residues	residue	NOUN
bibechana-62465	252	17	:	:	PUNCT
bibechana-62465	252	18	effect	effect	NOUN
bibechana-62465	252	19	of	of	ADP
bibechana-62465	252	20	biomass	biomass	NOUN
bibechana-62465	252	21	type	type	NOUN
bibechana-62465	252	22	,	,	PUNCT
bibechana-62465	252	23	pyrolysis	pyrolysis	NOUN
bibechana-62465	252	24	temperature	temperature	NOUN
bibechana-62465	252	25	,	,	PUNCT
bibechana-62465	252	26	particle	particle	NOUN
bibechana-62465	252	27	size	size	NOUN
bibechana-62465	252	28	.	.	PUNCT
bibechana-62465	253	1	journal	journal	NOUN
bibechana-62465	253	2	of	of	ADP
bibechana-62465	253	3	saudi	saudi	ADJ
bibechana-62465	253	4	chemical	chemical	PROPN
bibechana-62465	253	5	society	society	NOUN
bibechana-62465	253	6	,	,	PUNCT
bibechana-62465	253	7	24:811–823	24:811–823	NUM
bibechana-62465	253	8	,	,	PUNCT
bibechana-62465	253	9	2020	2020	NUM
bibechana-62465	253	10	.	.	PUNCT
bibechana-62465	254	1	[	[	X
bibechana-62465	254	2	19	19	NUM
bibechana-62465	254	3	]	]	PUNCT
bibechana-62465	254	4	s.	s.	PROPN
bibechana-62465	254	5	joshi	joshi	PROPN
bibechana-62465	254	6	,	,	PUNCT
bibechana-62465	254	7	r.g	r.g	PROPN
bibechana-62465	254	8	.	.	PROPN
bibechana-62465	254	9	shrestha	shrestha	PROPN
bibechana-62465	254	10	,	,	PUNCT
bibechana-62465	254	11	r.r	r.r	PROPN
bibechana-62465	254	12	.	.	PROPN
bibechana-62465	254	13	pradhananga	pradhananga	PROPN
bibechana-62465	254	14	,	,	PUNCT
bibechana-62465	254	15	k.	k.	PROPN
bibechana-62465	254	16	ariga	ariga	PROPN
bibechana-62465	254	17	,	,	PUNCT
bibechana-62465	254	18	and	and	CCONJ
bibechana-62465	254	19	l.k	l.k	PROPN
bibechana-62465	254	20	.	.	PROPN
bibechana-62465	254	21	shrestha	shrestha	PROPN
bibechana-62465	254	22	.	.	PUNCT
bibechana-62465	255	1	high	high	ADJ
bibechana-62465	255	2	surface	surface	PROPN
bibechana-62465	255	3	area	area	NOUN
bibechana-62465	255	4	nanoporous	nanoporous	ADJ
bibechana-62465	255	5	activated	activate	VERB
bibechana-62465	255	6	carbons	carbon	NOUN
bibechana-62465	255	7	materials	material	NOUN
bibechana-62465	255	8	from	from	ADP
bibechana-62465	255	9	areca	areca	PROPN
bibechana-62465	255	10	catechu	catechu	PROPN
bibechana-62465	255	11	nut	nut	NOUN
bibechana-62465	255	12	with	with	ADP
bibechana-62465	255	13	excellent	excellent	ADJ
bibechana-62465	255	14	iodine	iodine	NOUN
bibechana-62465	255	15	and	and	CCONJ
bibechana-62465	255	16	methylene	methylene	NOUN
bibechana-62465	255	17	blue	blue	ADJ
bibechana-62465	255	18	adsorption	adsorption	NOUN
bibechana-62465	255	19	.	.	PUNCT
bibechana-62465	256	1	c	c	X
bibechana-62465	256	2	,	,	PUNCT
bibechana-62465	256	3	8:2	8:2	NUM
bibechana-62465	256	4	,	,	PUNCT
bibechana-62465	256	5	2021	2021	NUM
bibechana-62465	256	6	.	.	PUNCT
bibechana-62465	257	1	[	[	X
bibechana-62465	257	2	20	20	NUM
bibechana-62465	257	3	]	]	PUNCT
bibechana-62465	257	4	s.	s.	PROPN
bibechana-62465	257	5	joshi	joshi	PROPN
bibechana-62465	257	6	and	and	CCONJ
bibechana-62465	257	7	b.p	b.p	PROPN
bibechana-62465	257	8	.	.	PROPN
bibechana-62465	257	9	pokharel	pokharel	PROPN
bibechana-62465	257	10	.	.	PUNCT
bibechana-62465	257	11	preparation	preparation	NOUN
bibechana-62465	257	12	and	and	CCONJ
bibechana-62465	257	13	characterization	characterization	NOUN
bibechana-62465	257	14	of	of	ADP
bibechana-62465	257	15	activated	activate	VERB
bibechana-62465	257	16	carbon	carbon	NOUN
bibechana-62465	257	17	from	from	ADP
bibechana-62465	257	18	lapsi	lapsi	PROPN
bibechana-62465	257	19	(	(	PUNCT
bibechana-62465	257	20	choerospondias	choerospondias	PROPN
bibechana-62465	257	21	axillaris	axillaris	ADJ
bibechana-62465	257	22	)	)	PUNCT
bibechana-62465	257	23	seed	seed	NOUN
bibechana-62465	257	24	stone	stone	NOUN
bibechana-62465	257	25	by	by	ADP
bibechana-62465	257	26	chemical	chemical	ADJ
bibechana-62465	257	27	activation	activation	NOUN
bibechana-62465	257	28	with	with	ADP
bibechana-62465	257	29	potassium	potassium	NOUN
bibechana-62465	257	30	hydroxide	hydroxide	NOUN
bibechana-62465	257	31	.	.	PUNCT
bibechana-62465	258	1	journal	journal	NOUN
bibechana-62465	258	2	of	of	ADP
bibechana-62465	258	3	the	the	DET
bibechana-62465	258	4	institute	institute	PROPN
bibechana-62465	258	5	of	of	ADP
bibechana-62465	258	6	engineering	engineering	PROPN
bibechana-62465	258	7	,	,	PUNCT
bibechana-62465	258	8	9:79–88	9:79–88	NUM
bibechana-62465	258	9	,	,	PUNCT
bibechana-62465	258	10	2013	2013	NUM
bibechana-62465	258	11	.	.	PUNCT
bibechana-62465	259	1	[	[	X
bibechana-62465	259	2	21	21	NUM
bibechana-62465	259	3	]	]	X
bibechana-62465	259	4	c.	c.	PROPN
bibechana-62465	259	5	l.	l.	PROPN
bibechana-62465	259	6	gnawali	gnawali	PROPN
bibechana-62465	259	7	,	,	PUNCT
bibechana-62465	259	8	s.	s.	PROPN
bibechana-62465	259	9	manandhar	manandhar	PROPN
bibechana-62465	259	10	,	,	PUNCT
bibechana-62465	259	11	s.	s.	PROPN
bibechana-62465	259	12	shahi	shahi	PROPN
bibechana-62465	259	13	,	,	PUNCT
bibechana-62465	259	14	r.	r.	PROPN
bibechana-62465	259	15	g.	g.	PROPN
bibechana-62465	259	16	shrestha	shrestha	PROPN
bibechana-62465	259	17	,	,	PUNCT
bibechana-62465	259	18	m.	m.	NOUN
bibechana-62465	259	19	p.	p.	PROPN
bibechana-62465	259	20	adhikari	adhikari	PROPN
bibechana-62465	259	21	,	,	PUNCT
bibechana-62465	259	22	r.	r.	PROPN
bibechana-62465	259	23	rajbhandari	rajbhandari	PROPN
bibechana-62465	259	24	,	,	PUNCT
bibechana-62465	259	25	b.	b.	PROPN
bibechana-62465	259	26	p.	p.	PROPN
bibechana-62465	259	27	pokharel	pokharel	PROPN
bibechana-62465	259	28	,	,	PUNCT
bibechana-62465	259	29	r.	r.	PROPN
bibechana-62465	259	30	ma	ma	PROPN
bibechana-62465	259	31	,	,	PUNCT
bibechana-62465	259	32	k.	k.	PROPN
bibechana-62465	259	33	ariga	ariga	PROPN
bibechana-62465	259	34	,	,	PUNCT
bibechana-62465	259	35	and	and	CCONJ
bibechana-62465	259	36	l.	l.	PROPN
bibechana-62465	259	37	k.	k.	PROPN
bibechana-62465	259	38	shrestha	shrestha	PROPN
bibechana-62465	259	39	.	.	PUNCT
bibechana-62465	260	1	nanoporous	nanoporous	ADJ
bibechana-62465	260	2	carbons	carbon	NOUN
bibechana-62465	260	3	materials	material	NOUN
bibechana-62465	260	4	from	from	ADP
bibechana-62465	260	5	terminalia	terminalia	PROPN
bibechana-62465	260	6	bellirica	bellirica	PROPN
bibechana-62465	260	7	seed	seed	NOUN
bibechana-62465	260	8	for	for	ADP
bibechana-62465	260	9	iodine	iodine	NOUN
bibechana-62465	260	10	and	and	CCONJ
bibechana-62465	260	11	methylene	methylene	NOUN
bibechana-62465	260	12	blue	blue	ADJ
bibechana-62465	260	13	adsorption	adsorption	NOUN
bibechana-62465	260	14	and	and	CCONJ
bibechana-62465	260	15	high	high	ADJ
bibechana-62465	260	16	-	-	PUNCT
bibechana-62465	260	17	performance	performance	NOUN
bibechana-62465	260	18	supercapacitor	supercapacitor	NOUN
bibechana-62465	260	19	applications	application	NOUN
bibechana-62465	260	20	.	.	PUNCT
bibechana-62465	261	1	bulletin	bulletin	NOUN
bibechana-62465	261	2	of	of	ADP
bibechana-62465	261	3	the	the	DET
bibechana-62465	261	4	chemical	chemical	NOUN
bibechana-62465	261	5	society	society	NOUN
bibechana-62465	261	6	of	of	ADP
bibechana-62465	261	7	japan	japan	PROPN
bibechana-62465	261	8	,	,	PUNCT
bibechana-62465	261	9	96:572–581	96:572–581	PROPN
bibechana-62465	261	10	,	,	PUNCT
bibechana-62465	261	11	2023	2023	NUM
bibechana-62465	261	12	.	.	PUNCT
bibechana-62465	262	1	[	[	X
bibechana-62465	262	2	22	22	NUM
bibechana-62465	262	3	]	]	PUNCT
bibechana-62465	262	4	l.	l.	PROPN
bibechana-62465	262	5	k.	k.	PROPN
bibechana-62465	262	6	shrestha	shrestha	PROPN
bibechana-62465	262	7	,	,	PUNCT
bibechana-62465	262	8	s.	s.	PROPN
bibechana-62465	262	9	shahi	shahi	PROPN
bibechana-62465	262	10	,	,	PUNCT
bibechana-62465	262	11	c.	c.	PROPN
bibechana-62465	262	12	l.	l.	PROPN
bibechana-62465	262	13	gnawali	gnawali	PROPN
bibechana-62465	262	14	,	,	PUNCT
bibechana-62465	262	15	m.	m.	NOUN
bibechana-62465	262	16	p.	p.	PROPN
bibechana-62465	262	17	adhikari	adhikari	PROPN
bibechana-62465	262	18	,	,	PUNCT
bibechana-62465	262	19	r.	r.	PROPN
bibechana-62465	262	20	rajbhandari	rajbhandari	PROPN
bibechana-62465	262	21	,	,	PUNCT
bibechana-62465	262	22	b.	b.	PROPN
bibechana-62465	262	23	p.	p.	PROPN
bibechana-62465	262	24	pokharel	pokharel	PROPN
bibechana-62465	262	25	,	,	PUNCT
bibechana-62465	262	26	r.	r.	PROPN
bibechana-62465	262	27	ma	ma	PROPN
bibechana-62465	262	28	,	,	PUNCT
bibechana-62465	262	29	r.	r.	PROPN
bibechana-62465	262	30	g.	g.	PROPN
bibechana-62465	262	31	shrestha	shrestha	PROPN
bibechana-62465	262	32	,	,	PUNCT
bibechana-62465	262	33	and	and	CCONJ
bibechana-62465	262	34	k.	k.	PROPN
bibechana-62465	262	35	ariga	ariga	PROPN
bibechana-62465	262	36	.	.	PUNCT
bibechana-62465	263	1	phyllanthus	phyllanthus	PROPN
bibechana-62465	263	2	emblica	emblica	PROPN
bibechana-62465	263	3	seed	seed	NOUN
bibechana-62465	263	4	-	-	PUNCT
bibechana-62465	263	5	derived	derive	VERB
bibechana-62465	263	6	hierarchically	hierarchically	ADV
bibechana-62465	263	7	porous	porous	ADJ
bibechana-62465	263	8	carbon	carbon	NOUN
bibechana-62465	263	9	materials	material	NOUN
bibechana-62465	263	10	for	for	ADP
bibechana-62465	263	11	high	high	ADJ
bibechana-62465	263	12	-	-	PUNCT
bibechana-62465	263	13	performance	performance	NOUN
bibechana-62465	263	14	supercapacitor	supercapacitor	NOUN
bibechana-62465	263	15	applications	application	NOUN
bibechana-62465	263	16	.	.	PUNCT
bibechana-62465	264	1	materials	material	NOUN
bibechana-62465	264	2	,	,	PUNCT
bibechana-62465	264	3	15:8335	15:8335	NUM
bibechana-62465	264	4	,	,	PUNCT
bibechana-62465	264	5	2022	2022	NUM
bibechana-62465	264	6	.	.	PUNCT
bibechana-62465	265	1	[	[	X
bibechana-62465	265	2	23	23	NUM
bibechana-62465	265	3	]	]	X
bibechana-62465	265	4	s.	s.	PROPN
bibechana-62465	265	5	bhandari	bhandari	PROPN
bibechana-62465	265	6	,	,	PUNCT
bibechana-62465	265	7	k.	k.	PROPN
bibechana-62465	265	8	b.	b.	PROPN
bibechana-62465	265	9	rajguru	rajguru	PROPN
bibechana-62465	265	10	,	,	PUNCT
bibechana-62465	265	11	c.	c.	PROPN
bibechana-62465	265	12	l.	l.	PROPN
bibechana-62465	265	13	gnawali	gnawali	PROPN
bibechana-62465	265	14	,	,	PUNCT
bibechana-62465	265	15	and	and	CCONJ
bibechana-62465	265	16	b.	b.	PROPN
bibechana-62465	265	17	p.	p.	NOUN
bibechana-62465	265	18	pokharel	pokharel	PROPN
bibechana-62465	265	19	.	.	PUNCT
bibechana-62465	266	1	influence	influence	NOUN
bibechana-62465	266	2	of	of	ADP
bibechana-62465	266	3	precursor	precursor	NOUN
bibechana-62465	266	4	type	type	NOUN
bibechana-62465	266	5	on	on	ADP
bibechana-62465	266	6	activated	activate	VERB
bibechana-62465	266	7	carbon	carbon	NOUN
bibechana-62465	266	8	prepared	prepare	VERB
bibechana-62465	266	9	by	by	ADP
bibechana-62465	266	10	phosphoric	phosphoric	ADJ
bibechana-62465	266	11	acid	acid	NOUN
bibechana-62465	266	12	-	-	PUNCT
bibechana-62465	266	13	chemical	chemical	NOUN
bibechana-62465	266	14	activation	activation	NOUN
bibechana-62465	266	15	for	for	ADP
bibechana-62465	266	16	supercapacitor	supercapacitor	NOUN
bibechana-62465	266	17	applications	application	NOUN
bibechana-62465	266	18	.	.	PUNCT
bibechana-62465	267	1	journal	journal	PROPN
bibechana-62465	267	2	of	of	ADP
bibechana-62465	267	3	nepal	nepal	PROPN
bibechana-62465	267	4	physical	physical	ADJ
bibechana-62465	267	5	society	society	NOUN
bibechana-62465	267	6	,	,	PUNCT
bibechana-62465	267	7	9(3):12–17	9(3):12–17	NUM
bibechana-62465	267	8	,	,	PUNCT
bibechana-62465	267	9	2023	2023	NUM
bibechana-62465	267	10	.	.	PUNCT
bibechana-62465	268	1	[	[	X
bibechana-62465	268	2	24	24	NUM
bibechana-62465	268	3	]	]	PUNCT
bibechana-62465	268	4	s.	s.	PROPN
bibechana-62465	268	5	mishra	mishra	PROPN
bibechana-62465	268	6	,	,	PUNCT
bibechana-62465	268	7	r.	r.	PROPN
bibechana-62465	268	8	srivastava	srivastava	PROPN
bibechana-62465	268	9	,	,	PUNCT
bibechana-62465	268	10	a.	a.	PROPN
bibechana-62465	268	11	muhammad	muhammad	PROPN
bibechana-62465	268	12	,	,	PUNCT
bibechana-62465	268	13	a.	a.	PROPN
bibechana-62465	268	14	amit	amit	PROPN
bibechana-62465	268	15	,	,	PUNCT
bibechana-62465	268	16	e.	e.	PROPN
bibechana-62465	268	17	chiavazzo	chiavazzo	PROPN
bibechana-62465	268	18	,	,	PUNCT
bibechana-62465	268	19	m.	m.	PROPN
bibechana-62465	268	20	fasano	fasano	PROPN
bibechana-62465	268	21	,	,	PUNCT
bibechana-62465	268	22	and	and	CCONJ
bibechana-62465	268	23	p.	p.	NOUN
bibechana-62465	268	24	asinari	asinari	PROPN
bibechana-62465	268	25	.	.	PUNCT
bibechana-62465	269	1	the	the	DET
bibechana-62465	269	2	impact	impact	NOUN
bibechana-62465	269	3	of	of	ADP
bibechana-62465	269	4	physicochemical	physicochemical	ADJ
bibechana-62465	269	5	features	feature	NOUN
bibechana-62465	269	6	of	of	ADP
bibechana-62465	269	7	carbon	carbon	NOUN
bibechana-62465	269	8	electrodes	electrode	NOUN
bibechana-62465	269	9	on	on	ADP
bibechana-62465	269	10	the	the	DET
bibechana-62465	269	11	capacitive	capacitive	ADJ
bibechana-62465	269	12	performance	performance	NOUN
bibechana-62465	269	13	of	of	ADP
bibechana-62465	269	14	supercapacitors	supercapacitor	NOUN
bibechana-62465	269	15	:	:	PUNCT
bibechana-62465	269	16	a	a	DET
bibechana-62465	269	17	machine	machine	NOUN
bibechana-62465	269	18	learning	learn	VERB
bibechana-62465	269	19	approach	approach	NOUN
bibechana-62465	269	20	.	.	PUNCT
bibechana-62465	270	1	scientific	scientific	ADJ
bibechana-62465	270	2	reports	report	NOUN
bibechana-62465	270	3	,	,	PUNCT
bibechana-62465	270	4	13:6494	13:6494	NUM
bibechana-62465	270	5	,	,	PUNCT
bibechana-62465	270	6	2023	2023	NUM
bibechana-62465	270	7	.	.	PUNCT
bibechana-62465	271	1	[	[	X
bibechana-62465	271	2	25	25	NUM
bibechana-62465	271	3	]	]	PUNCT
bibechana-62465	271	4	k.	k.	PROPN
bibechana-62465	271	5	zhang	zhang	PROPN
bibechana-62465	271	6	,	,	PUNCT
bibechana-62465	271	7	s.	s.	PROPN
bibechana-62465	271	8	zhong	zhong	PROPN
bibechana-62465	271	9	,	,	PUNCT
bibechana-62465	271	10	and	and	CCONJ
bibechana-62465	271	11	h.	h.	PROPN
bibechana-62465	271	12	zhang	zhang	PROPN
bibechana-62465	271	13	.	.	PUNCT
bibechana-62465	271	14	predicting	predict	VERB
bibechana-62465	271	15	aqueous	aqueous	ADJ
bibechana-62465	271	16	adsorption	adsorption	NOUN
bibechana-62465	271	17	of	of	ADP
bibechana-62465	271	18	organic	organic	ADJ
bibechana-62465	271	19	compounds	compound	NOUN
bibechana-62465	271	20	onto	onto	ADP
bibechana-62465	271	21	biochars	biochar	NOUN
bibechana-62465	271	22	,	,	PUNCT
bibechana-62465	271	23	carbon	carbon	NOUN
bibechana-62465	271	24	nanotubes	nanotube	NOUN
bibechana-62465	271	25	,	,	PUNCT
bibechana-62465	271	26	granular	granular	ADJ
bibechana-62465	271	27	activated	activate	VERB
bibechana-62465	271	28	carbons	carbon	NOUN
bibechana-62465	271	29	,	,	PUNCT
bibechana-62465	271	30	and	and	CCONJ
bibechana-62465	271	31	resins	resin	NOUN
bibechana-62465	271	32	with	with	ADP
bibechana-62465	271	33	machine	machine	NOUN
bibechana-62465	271	34	learning	learning	NOUN
bibechana-62465	271	35	.	.	PUNCT
bibechana-62465	272	1	environmental	environmental	ADJ
bibechana-62465	272	2	science	science	PROPN
bibechana-62465	272	3	&	&	CCONJ
bibechana-62465	272	4	technology	technology	PROPN
bibechana-62465	272	5	,	,	PUNCT
bibechana-62465	272	6	54:7008–7018	54:7008–7018	NOUN
bibechana-62465	272	7	,	,	PUNCT
bibechana-62465	272	8	2020	2020	NUM
bibechana-62465	272	9	.	.	PUNCT
bibechana-62465	273	1	[	[	X
bibechana-62465	273	2	26	26	NUM
bibechana-62465	273	3	]	]	X
bibechana-62465	273	4	m.	m.	NOUN
bibechana-62465	273	5	khan	khan	PROPN
bibechana-62465	273	6	,	,	PUNCT
bibechana-62465	273	7	z.	z.	PROPN
bibechana-62465	273	8	ullah	ullah	PROPN
bibechana-62465	273	9	,	,	PUNCT
bibechana-62465	273	10	o.	o.	PROPN
bibechana-62465	273	11	mašek	mašek	PROPN
bibechana-62465	273	12	,	,	PUNCT
bibechana-62465	273	13	s.	s.	PROPN
bibechana-62465	273	14	r.	r.	PROPN
bibechana-62465	273	15	naqvi	naqvi	PROPN
bibechana-62465	273	16	,	,	PUNCT
bibechana-62465	273	17	and	and	CCONJ
bibechana-62465	273	18	m.	m.	PROPN
bibechana-62465	273	19	n.	n.	PROPN
bibechana-62465	273	20	a.	a.	PROPN
bibechana-62465	273	21	khan	khan	PROPN
bibechana-62465	273	22	.	.	PUNCT
bibechana-62465	274	1	artificial	artificial	ADJ
bibechana-62465	274	2	neural	neural	ADJ
bibechana-62465	274	3	networks	network	NOUN
bibechana-62465	274	4	for	for	ADP
bibechana-62465	274	5	the	the	DET
bibechana-62465	274	6	prediction	prediction	NOUN
bibechana-62465	274	7	of	of	ADP
bibechana-62465	274	8	biochar	biochar	NOUN
bibechana-62465	274	9	yield	yield	NOUN
bibechana-62465	274	10	:	:	PUNCT
bibechana-62465	274	11	a	a	DET
bibechana-62465	274	12	comparative	comparative	ADJ
bibechana-62465	274	13	study	study	NOUN
bibechana-62465	274	14	of	of	ADP
bibechana-62465	274	15	metaheuristic	metaheuristic	ADJ
bibechana-62465	274	16	algorithms	algorithm	NOUN
bibechana-62465	274	17	.	.	PUNCT
bibechana-62465	275	1	biosource	biosource	NOUN
bibechana-62465	275	2	technology	technology	NOUN
bibechana-62465	275	3	,	,	PUNCT
bibechana-62465	275	4	355:127215	355:127215	NUM
bibechana-62465	275	5	,	,	PUNCT
bibechana-62465	275	6	2022	2022	NUM
bibechana-62465	275	7	.	.	PUNCT
bibechana-62465	276	1	[	[	X
bibechana-62465	276	2	27	27	NUM
bibechana-62465	276	3	]	]	PUNCT
bibechana-62465	276	4	a.	a.	NOUN
bibechana-62465	276	5	hai	hai	PROPN
bibechana-62465	276	6	,	,	PUNCT
bibechana-62465	276	7	g.	g.	PROPN
bibechana-62465	276	8	bharath	bharath	PROPN
bibechana-62465	276	9	,	,	PUNCT
bibechana-62465	276	10	m.	m.	PROPN
bibechana-62465	276	11	f.	f.	PROPN
bibechana-62465	276	12	a.	a.	PROPN
bibechana-62465	276	13	patah	patah	PROPN
bibechana-62465	276	14	,	,	PUNCT
bibechana-62465	276	15	w.	w.	PROPN
bibechana-62465	276	16	m.	m.	PROPN
bibechana-62465	276	17	a.	a.	PROPN
bibechana-62465	276	18	w.	w.	PROPN
bibechana-62465	276	19	daud	daud	PROPN
bibechana-62465	276	20	,	,	PUNCT
bibechana-62465	276	21	k.	k.	PROPN
bibechana-62465	276	22	rambu	rambu	PROPN
bibechana-62465	276	23	,	,	PUNCT
bibechana-62465	276	24	p.	p.	NOUN
bibechana-62465	276	25	show	show	NOUN
bibechana-62465	276	26	,	,	PUNCT
bibechana-62465	276	27	and	and	CCONJ
bibechana-62465	276	28	f.	f.	PROPN
bibechana-62465	276	29	banat	banat	PROPN
bibechana-62465	276	30	.	.	PUNCT
bibechana-62465	276	31	machine	machine	NOUN
bibechana-62465	276	32	learning	learning	NOUN
bibechana-62465	276	33	models	model	NOUN
bibechana-62465	276	34	for	for	ADP
bibechana-62465	276	35	the	the	DET
bibechana-62465	276	36	prediction	prediction	NOUN
bibechana-62465	276	37	of	of	ADP
bibechana-62465	276	38	total	total	ADJ
bibechana-62465	276	39	yield	yield	NOUN
bibechana-62465	276	40	and	and	CCONJ
bibechana-62465	276	41	specific	specific	ADJ
bibechana-62465	276	42	surface	surface	NOUN
bibechana-62465	276	43	area	area	NOUN
bibechana-62465	276	44	of	of	ADP
bibechana-62465	276	45	bio	bio	NOUN
bibechana-62465	276	46	-	-	NOUN
bibechana-62465	276	47	char	char	NOUN
bibechana-62465	276	48	derived	derive	VERB
bibechana-62465	276	49	from	from	ADP
bibechana-62465	276	50	agricultural	agricultural	ADJ
bibechana-62465	276	51	biomass	biomass	NOUN
bibechana-62465	276	52	by	by	ADP
bibechana-62465	276	53	pyrolysis	pyrolysis	NOUN
bibechana-62465	276	54	.	.	PUNCT
bibechana-62465	277	1	environmental	environmental	ADJ
bibechana-62465	277	2	technology	technology	PROPN
bibechana-62465	277	3	&	&	CCONJ
bibechana-62465	277	4	innovation	innovation	NOUN
bibechana-62465	277	5	,	,	PUNCT
bibechana-62465	277	6	30:103071	30:103071	PROPN
bibechana-62465	277	7	,	,	PUNCT
bibechana-62465	277	8	2023	2023	NUM
bibechana-62465	277	9	.	.	PUNCT
bibechana-62465	278	1	[	[	X
bibechana-62465	278	2	28	28	NUM
bibechana-62465	278	3	]	]	PUNCT
bibechana-62465	278	4	z.	z.	PROPN
bibechana-62465	278	5	u.	u.	PROPN
bibechana-62465	278	6	haq	haq	PROPN
bibechana-62465	278	7	,	,	PUNCT
bibechana-62465	278	8	h.	h.	PROPN
bibechana-62465	278	9	ullah	ullah	PROPN
bibechana-62465	278	10	,	,	PUNCT
bibechana-62465	278	11	m.	m.	NOUN
bibechana-62465	278	12	n.	n.	PROPN
bibechana-62465	278	13	a.	a.	PROPN
bibechana-62465	278	14	khan	khan	PROPN
bibechana-62465	278	15	,	,	PUNCT
bibechana-62465	278	16	s.	s.	PROPN
bibechana-62465	278	17	r.	r.	PROPN
bibechana-62465	278	18	naqvi	naqvi	PROPN
bibechana-62465	278	19	,	,	PUNCT
bibechana-62465	278	20	a.	a.	PROPN
bibechana-62465	278	21	ahad	ahad	PROPN
bibechana-62465	278	22	,	,	PUNCT
bibechana-62465	278	23	and	and	CCONJ
bibechana-62465	278	24	n.	n.	PROPN
bibechana-62465	278	25	a.	a.	PROPN
bibechana-62465	278	26	s.	s.	PROPN
bibechana-62465	278	27	amin	amin	PROPN
bibechana-62465	278	28	.	.	PROPN
bibechana-62465	279	1	comparative	comparative	ADJ
bibechana-62465	279	2	study	study	NOUN
bibechana-62465	279	3	of	of	ADP
bibechana-62465	279	4	machine	machine	NOUN
bibechana-62465	279	5	learning	learn	VERB
bibechana-62465	279	6	methods	method	NOUN
bibechana-62465	279	7	integrated	integrate	VERB
bibechana-62465	279	8	with	with	ADP
bibechana-62465	279	9	genetic	genetic	ADJ
bibechana-62465	279	10	algorithm	algorithm	NOUN
bibechana-62465	279	11	and	and	CCONJ
bibechana-62465	279	12	particle	particle	NOUN
bibechana-62465	279	13	swarm	swarm	NOUN
bibechana-62465	279	14	optimization	optimization	NOUN
bibechana-62465	279	15	for	for	ADP
bibechana-62465	279	16	bio	bio	ADJ
bibechana-62465	279	17	-	-	ADJ
bibechana-62465	279	18	char	char	ADJ
bibechana-62465	279	19	yield	yield	NOUN
bibechana-62465	279	20	prediction	prediction	NOUN
bibechana-62465	279	21	.	.	PUNCT
bibechana-62465	280	1	bioresource	bioresource	PROPN
bibechana-62465	280	2	technology	technology	PROPN
bibechana-62465	280	3	,	,	PUNCT
bibechana-62465	280	4	363:128008	363:128008	NOUN
bibechana-62465	280	5	,	,	PUNCT
bibechana-62465	280	6	2022	2022	NUM
bibechana-62465	280	7	.	.	PUNCT
bibechana-62465	281	1	[	[	X
bibechana-62465	281	2	29	29	NUM
bibechana-62465	281	3	]	]	PUNCT
bibechana-62465	281	4	j.	j.	PROPN
bibechana-62465	281	5	a.	a.	PROPN
bibechana-62465	281	6	okolie	okolie	PROPN
bibechana-62465	281	7	,	,	PUNCT
bibechana-62465	281	8	s.	s.	PROPN
bibechana-62465	281	9	savage	savage	PROPN
bibechana-62465	281	10	,	,	PUNCT
bibechana-62465	281	11	c.	c.	PROPN
bibechana-62465	281	12	c.	c.	PROPN
bibechana-62465	281	13	ogbaga	ogbaga	PROPN
bibechana-62465	281	14	,	,	PUNCT
bibechana-62465	281	15	and	and	CCONJ
bibechana-62465	281	16	b.	b.	PROPN
bibechana-62465	281	17	gunes	gune	NOUN
bibechana-62465	281	18	.	.	PUNCT
bibechana-62465	282	1	assessing	assess	VERB
bibechana-62465	282	2	the	the	DET
bibechana-62465	282	3	potential	potential	NOUN
bibechana-62465	282	4	of	of	ADP
bibechana-62465	282	5	machine	machine	NOUN
bibechana-62465	282	6	learning	learning	NOUN
bibechana-62465	282	7	methods	method	NOUN
bibechana-62465	282	8	to	to	PART
bibechana-62465	282	9	study	study	VERB
bibechana-62465	282	10	the	the	DET
bibechana-62465	282	11	removal	removal	NOUN
bibechana-62465	282	12	of	of	ADP
bibechana-62465	282	13	pharmaceuticals	pharmaceutical	NOUN
bibechana-62465	282	14	from	from	ADP
bibechana-62465	282	15	wastewater	wastewater	NOUN
bibechana-62465	282	16	using	use	VERB
bibechana-62465	282	17	biochar	biochar	NOUN
bibechana-62465	282	18	or	or	CCONJ
bibechana-62465	282	19	activated	activated	ADJ
bibechana-62465	282	20	carbon	carbon	NOUN
bibechana-62465	282	21	.	.	PUNCT
bibechana-62465	283	1	total	total	ADJ
bibechana-62465	283	2	environment	environment	NOUN
bibechana-62465	283	3	research	research	NOUN
bibechana-62465	283	4	themes	theme	NOUN
bibechana-62465	283	5	,	,	PUNCT
bibechana-62465	283	6	1:100001	1:100001	NUM
bibechana-62465	283	7	,	,	PUNCT
bibechana-62465	283	8	2022	2022	NUM
bibechana-62465	283	9	.	.	PUNCT
bibechana-62465	284	1	[	[	X
bibechana-62465	284	2	30	30	NUM
bibechana-62465	284	3	]	]	X
bibechana-62465	284	4	s.	s.	PROPN
bibechana-62465	284	5	nanda	nanda	PROPN
bibechana-62465	284	6	,	,	PUNCT
bibechana-62465	284	7	s.	s.	PROPN
bibechana-62465	284	8	ghosh	ghosh	PROPN
bibechana-62465	284	9	,	,	PUNCT
bibechana-62465	284	10	and	and	CCONJ
bibechana-62465	284	11	t.	t.	PROPN
bibechana-62465	284	12	thomas	thomas	PROPN
bibechana-62465	284	13	.	.	PUNCT
bibechana-62465	285	1	machine	machine	NOUN
bibechana-62465	285	2	learning	learning	NOUN
bibechana-62465	285	3	aided	aid	VERB
bibechana-62465	285	4	cyclic	cyclic	ADJ
bibechana-62465	285	5	stability	stability	NOUN
bibechana-62465	285	6	prediction	prediction	NOUN
bibechana-62465	285	7	for	for	ADP
bibechana-62465	285	8	supercapacitors	supercapacitor	NOUN
bibechana-62465	285	9	.	.	PUNCT
bibechana-62465	286	1	journal	journal	PROPN
bibechana-62465	286	2	of	of	ADP
bibechana-62465	286	3	power	power	NOUN
bibechana-62465	286	4	sources	source	NOUN
bibechana-62465	286	5	,	,	PUNCT
bibechana-62465	286	6	546:231975	546:231975	NUM
bibechana-62465	286	7	,	,	PUNCT
bibechana-62465	286	8	2022	2022	NUM
bibechana-62465	286	9	.	.	PUNCT
bibechana-62465	287	1	kirti	kirti	PROPN
bibechana-62465	287	2	bir	bir	PROPN
bibechana-62465	287	3	rajguru	rajguru	PROPN
bibechana-62465	287	4	et	et	PROPN
bibechana-62465	287	5	al./	al./	ADV
bibechana-62465	287	6	bibechana	bibechana	PROPN
bibechana-62465	287	7	21	21	NUM
bibechana-62465	287	8	(	(	PUNCT
bibechana-62465	287	9	2024	2024	NUM
bibechana-62465	287	10	)	)	PUNCT
bibechana-62465	287	11	159	159	NUM
bibechana-62465	287	12	-	-	SYM
bibechana-62465	287	13	170	170	NUM
bibechana-62465	287	14	170	170	NUM
bibechana-62465	288	1	[	[	X
bibechana-62465	288	2	31	31	NUM
bibechana-62465	288	3	]	]	X
bibechana-62465	288	4	y.	y.	PROPN
bibechana-62465	288	5	w.	w.	PROPN
bibechana-62465	288	6	liew	liew	PROPN
bibechana-62465	288	7	,	,	PUNCT
bibechana-62465	288	8	s.	s.	PROPN
bibechana-62465	288	9	k.	k.	PROPN
bibechana-62465	288	10	arumugasamy	arumugasamy	PROPN
bibechana-62465	288	11	,	,	PUNCT
bibechana-62465	288	12	and	and	CCONJ
bibechana-62465	288	13	a.	a.	PROPN
bibechana-62465	288	14	selvarajoo	selvarajoo	PROPN
bibechana-62465	288	15	.	.	PUNCT
bibechana-62465	288	16	potential	potential	NOUN
bibechana-62465	288	17	of	of	ADP
bibechana-62465	288	18	biochar	biochar	NOUN
bibechana-62465	288	19	as	as	ADP
bibechana-62465	288	20	soil	soil	NOUN
bibechana-62465	288	21	amendment	amendment	NOUN
bibechana-62465	288	22	:	:	PUNCT
bibechana-62465	288	23	prediction	prediction	NOUN
bibechana-62465	288	24	of	of	ADP
bibechana-62465	288	25	elemental	elemental	ADJ
bibechana-62465	288	26	ratios	ratio	NOUN
bibechana-62465	288	27	from	from	ADP
bibechana-62465	288	28	pyrolysis	pyrolysis	NOUN
bibechana-62465	288	29	of	of	ADP
bibechana-62465	288	30	agriculture	agriculture	NOUN
bibechana-62465	288	31	biomass	biomass	NOUN
bibechana-62465	288	32	using	use	VERB
bibechana-62465	288	33	artificial	artificial	ADJ
bibechana-62465	288	34	neural	neural	ADJ
bibechana-62465	288	35	network	network	NOUN
bibechana-62465	288	36	.	.	PUNCT
bibechana-62465	289	1	water	water	NOUN
bibechana-62465	289	2	,	,	PUNCT
bibechana-62465	289	3	air	air	NOUN
bibechana-62465	289	4	,	,	PUNCT
bibechana-62465	289	5	&	&	CCONJ
bibechana-62465	289	6	soil	soil	NOUN
bibechana-62465	289	7	pollution	pollution	NOUN
bibechana-62465	289	8	,	,	PUNCT
bibechana-62465	289	9	233:54	233:54	NUM
bibechana-62465	289	10	,	,	PUNCT
bibechana-62465	289	11	2022	2022	NUM
bibechana-62465	289	12	.	.	PUNCT
bibechana-62465	290	1	[	[	X
bibechana-62465	290	2	32	32	NUM
bibechana-62465	290	3	]	]	PUNCT
bibechana-62465	290	4	a.	a.	NOUN
bibechana-62465	290	5	shafizadeh	shafizadeh	PROPN
bibechana-62465	290	6	,	,	PUNCT
bibechana-62465	290	7	h.	h.	PROPN
bibechana-62465	290	8	shahbeik	shahbeik	PROPN
bibechana-62465	290	9	,	,	PUNCT
bibechana-62465	290	10	s.	s.	PROPN
bibechana-62465	290	11	rafiee	rafiee	PROPN
bibechana-62465	290	12	,	,	PUNCT
bibechana-62465	290	13	a.	a.	NOUN
bibechana-62465	290	14	moradi	moradi	NOUN
bibechana-62465	290	15	,	,	PUNCT
bibechana-62465	290	16	m.	m.	NOUN
bibechana-62465	290	17	shahbaz	shahbaz	PROPN
bibechana-62465	290	18	,	,	PUNCT
bibechana-62465	290	19	m.	m.	NOUN
bibechana-62465	290	20	madadi	madadi	PROPN
bibechana-62465	290	21	,	,	PUNCT
bibechana-62465	290	22	c.	c.	PROPN
bibechana-62465	290	23	li	li	PROPN
bibechana-62465	290	24	,	,	PUNCT
bibechana-62465	290	25	w.	w.	PROPN
bibechana-62465	290	26	peng	peng	PROPN
bibechana-62465	290	27	,	,	PUNCT
bibechana-62465	290	28	m.	m.	NOUN
bibechana-62465	290	29	tabatabaei	tabatabaei	NOUN
bibechana-62465	290	30	,	,	PUNCT
bibechana-62465	290	31	and	and	CCONJ
bibechana-62465	290	32	m.	m.	NOUN
bibechana-62465	290	33	aghbashlo	aghbashlo	PROPN
bibechana-62465	290	34	.	.	PUNCT
bibechana-62465	291	1	machine	machine	NOUN
bibechana-62465	291	2	learning	learning	NOUN
bibechana-62465	291	3	-	-	PUNCT
bibechana-62465	291	4	based	base	VERB
bibechana-62465	291	5	characterization	characterization	NOUN
bibechana-62465	291	6	of	of	ADP
bibechana-62465	291	7	hydrochar	hydrochar	NOUN
bibechana-62465	291	8	from	from	ADP
bibechana-62465	291	9	biomass	biomass	NOUN
bibechana-62465	291	10	:	:	PUNCT
bibechana-62465	291	11	implications	implication	NOUN
bibechana-62465	291	12	for	for	ADP
bibechana-62465	291	13	sustainable	sustainable	ADJ
bibechana-62465	291	14	energy	energy	NOUN
bibechana-62465	291	15	and	and	CCONJ
bibechana-62465	291	16	material	material	NOUN
bibechana-62465	291	17	production	production	NOUN
bibechana-62465	291	18	.	.	PUNCT
bibechana-62465	292	1	fuel	fuel	NOUN
bibechana-62465	292	2	,	,	PUNCT
bibechana-62465	292	3	347:128467	347:128467	NUM
bibechana-62465	292	4	,	,	PUNCT
bibechana-62465	292	5	2023	2023	NUM
bibechana-62465	292	6	.	.	PUNCT
bibechana-62465	293	1	[	[	X
bibechana-62465	293	2	33	33	NUM
bibechana-62465	293	3	]	]	PUNCT
bibechana-62465	293	4	j.	j.	PROPN
bibechana-62465	293	5	wang	wang	PROPN
bibechana-62465	293	6	,	,	PUNCT
bibechana-62465	293	7	x.	x.	PROPN
bibechana-62465	293	8	zhang	zhang	PROPN
bibechana-62465	293	9	,	,	PUNCT
bibechana-62465	293	10	z.	z.	PROPN
bibechana-62465	293	11	li	li	PROPN
bibechana-62465	293	12	,	,	PUNCT
bibechana-62465	293	13	y.	y.	PROPN
bibechana-62465	293	14	ma	ma	PROPN
bibechana-62465	293	15	,	,	PUNCT
bibechana-62465	293	16	and	and	CCONJ
bibechana-62465	293	17	l.	l.	PROPN
bibechana-62465	293	18	ma	ma	PROPN
bibechana-62465	293	19	.	.	PROPN
bibechana-62465	294	1	recent	recent	ADJ
bibechana-62465	294	2	progress	progress	NOUN
bibechana-62465	294	3	of	of	ADP
bibechana-62465	294	4	biomass	biomass	NOUN
bibechana-62465	294	5	-	-	PUNCT
bibechana-62465	294	6	derived	derive	VERB
bibechana-62465	294	7	carbon	carbon	NOUN
bibechana-62465	294	8	materials	material	NOUN
bibechana-62465	294	9	for	for	ADP
bibechana-62465	294	10	supercapacitors	supercapacitor	NOUN
bibechana-62465	294	11	.	.	PUNCT
bibechana-62465	295	1	journal	journal	PROPN
bibechana-62465	295	2	of	of	ADP
bibechana-62465	295	3	power	power	NOUN
bibechana-62465	295	4	sources	source	NOUN
bibechana-62465	295	5	,	,	PUNCT
bibechana-62465	295	6	451:227794	451:227794	NUM
bibechana-62465	295	7	,	,	PUNCT
bibechana-62465	295	8	2020	2020	NUM
bibechana-62465	295	9	.	.	PUNCT
bibechana-62465	296	1	[	[	X
bibechana-62465	296	2	34	34	NUM
bibechana-62465	296	3	]	]	PUNCT
bibechana-62465	296	4	k.	k.	PROPN
bibechana-62465	296	5	rahmani	rahmani	PROPN
bibechana-62465	296	6	,	,	PUNCT
bibechana-62465	296	7	a.	a.	PROPN
bibechana-62465	296	8	h.	h.	PROPN
bibechana-62465	296	9	mamaghani	mamaghani	PROPN
bibechana-62465	296	10	,	,	PUNCT
bibechana-62465	296	11	z.	z.	PROPN
bibechana-62465	296	12	hashisho	hashisho	PROPN
bibechana-62465	296	13	,	,	PUNCT
bibechana-62465	296	14	d.	d.	PROPN
bibechana-62465	296	15	crompton	crompton	PROPN
bibechana-62465	296	16	,	,	PUNCT
bibechana-62465	296	17	and	and	CCONJ
bibechana-62465	296	18	j.	j.	PROPN
bibechana-62465	296	19	e.	e.	PROPN
bibechana-62465	296	20	anderson	anderson	PROPN
bibechana-62465	296	21	.	.	PUNCT
bibechana-62465	297	1	prediction	prediction	NOUN
bibechana-62465	297	2	of	of	ADP
bibechana-62465	297	3	heel	heel	NOUN
bibechana-62465	297	4	build	build	NOUN
bibechana-62465	297	5	-	-	PUNCT
bibechana-62465	297	6	up	up	NOUN
bibechana-62465	297	7	on	on	ADP
bibechana-62465	297	8	activated	activate	VERB
bibechana-62465	297	9	carbon	carbon	NOUN
bibechana-62465	297	10	using	use	VERB
bibechana-62465	297	11	machine	machine	NOUN
bibechana-62465	297	12	learning	learning	NOUN
bibechana-62465	297	13	.	.	PUNCT
bibechana-62465	298	1	journal	journal	PROPN
bibechana-62465	298	2	of	of	ADP
bibechana-62465	298	3	hazardous	hazardous	ADJ
bibechana-62465	298	4	materials	material	NOUN
bibechana-62465	298	5	,	,	PUNCT
bibechana-62465	298	6	433:128747	433:128747	NUM
bibechana-62465	298	7	,	,	PUNCT
bibechana-62465	298	8	2022	2022	NUM
bibechana-62465	298	9	.	.	PUNCT
bibechana-62465	299	1	[	[	X
bibechana-62465	299	2	35	35	NUM
bibechana-62465	299	3	]	]	X
bibechana-62465	299	4	w.	w.	PROPN
bibechana-62465	299	5	jiang	jiang	PROPN
bibechana-62465	299	6	,	,	PUNCT
bibechana-62465	299	7	x.	x.	PROPN
bibechana-62465	299	8	xing	xing	PROPN
bibechana-62465	299	9	,	,	PUNCT
bibechana-62465	299	10	s.	s.	PROPN
bibechana-62465	299	11	li	li	PROPN
bibechana-62465	299	12	,	,	PUNCT
bibechana-62465	299	13	x.	x.	PROPN
bibechana-62465	299	14	zhang	zhang	PROPN
bibechana-62465	299	15	,	,	PUNCT
bibechana-62465	299	16	and	and	CCONJ
bibechana-62465	299	17	w.	w.	PROPN
bibechana-62465	299	18	wang	wang	PROPN
bibechana-62465	299	19	.	.	PUNCT
bibechana-62465	299	20	synthesis	synthesis	NOUN
bibechana-62465	299	21	,	,	PUNCT
bibechana-62465	299	22	characterization	characterization	NOUN
bibechana-62465	299	23	and	and	CCONJ
bibechana-62465	299	24	machine	machine	NOUN
bibechana-62465	299	25	learning	learning	NOUN
bibechana-62465	299	26	based	base	VERB
bibechana-62465	299	27	performance	performance	NOUN
bibechana-62465	299	28	prediction	prediction	NOUN
bibechana-62465	299	29	of	of	ADP
bibechana-62465	299	30	straw	straw	NOUN
bibechana-62465	299	31	activated	activate	VERB
bibechana-62465	299	32	carbon	carbon	NOUN
bibechana-62465	299	33	.	.	PUNCT
bibechana-62465	300	1	journal	journal	PROPN
bibechana-62465	300	2	of	of	ADP
bibechana-62465	300	3	cleaner	clean	ADJ
bibechana-62465	300	4	production	production	NOUN
bibechana-62465	300	5	,	,	PUNCT
bibechana-62465	300	6	212:1210–1223	212:1210–1223	NUM
bibechana-62465	300	7	,	,	PUNCT
bibechana-62465	300	8	2019	2019	NUM
bibechana-62465	300	9	.	.	PUNCT
bibechana-62465	301	1	[	[	X
bibechana-62465	301	2	36	36	NUM
bibechana-62465	301	3	]	]	PUNCT
bibechana-62465	301	4	s.	s.	PROPN
bibechana-62465	301	5	k.	k.	PROPN
bibechana-62465	301	6	arumugasamy	arumugasamy	PROPN
bibechana-62465	301	7	,	,	PUNCT
bibechana-62465	301	8	a.	a.	NOUN
bibechana-62465	301	9	selvarajoo	selvarajoo	PROPN
bibechana-62465	301	10	,	,	PUNCT
bibechana-62465	301	11	and	and	CCONJ
bibechana-62465	301	12	m.	m.	NOUN
bibechana-62465	301	13	a.	a.	PROPN
bibechana-62465	301	14	tariq	tariq	PROPN
bibechana-62465	301	15	.	.	PUNCT
bibechana-62465	302	1	artificial	artificial	ADJ
bibechana-62465	302	2	neural	neural	ADJ
bibechana-62465	302	3	networks	network	NOUN
bibechana-62465	302	4	modelling	modelling	NOUN
bibechana-62465	302	5	:	:	PUNCT
bibechana-62465	302	6	gasification	gasification	NOUN
bibechana-62465	302	7	behaviour	behaviour	NOUN
bibechana-62465	302	8	of	of	ADP
bibechana-62465	302	9	palm	palm	NOUN
bibechana-62465	302	10	fibre	fibre	NOUN
bibechana-62465	302	11	biochar	biochar	NOUN
bibechana-62465	302	12	.	.	PUNCT
bibechana-62465	303	1	materials	material	NOUN
bibechana-62465	303	2	science	science	NOUN
bibechana-62465	303	3	for	for	ADP
bibechana-62465	303	4	energy	energy	NOUN
bibechana-62465	303	5	technologies	technology	NOUN
bibechana-62465	303	6	,	,	PUNCT
bibechana-62465	303	7	3:868–878	3:868–878	NUM
bibechana-62465	303	8	,	,	PUNCT
bibechana-62465	303	9	2020	2020	NUM
bibechana-62465	303	10	.	.	PUNCT
bibechana-62465	304	1	[	[	X
bibechana-62465	304	2	37	37	NUM
bibechana-62465	304	3	]	]	PUNCT
bibechana-62465	304	4	l.	l.	PROPN
bibechana-62465	304	5	wu	wu	PROPN
bibechana-62465	304	6	,	,	PUNCT
bibechana-62465	304	7	z.	z.	PROPN
bibechana-62465	304	8	xu	xu	PROPN
bibechana-62465	304	9	,	,	PUNCT
bibechana-62465	304	10	z.	z.	PROPN
bibechana-62465	304	11	wang	wang	PROPN
bibechana-62465	304	12	,	,	PUNCT
bibechana-62465	304	13	z.	z.	PROPN
bibechana-62465	304	14	chen	chen	PROPN
bibechana-62465	304	15	,	,	PUNCT
bibechana-62465	304	16	z.	z.	PROPN
bibechana-62465	304	17	huang	huang	PROPN
bibechana-62465	304	18	,	,	PUNCT
bibechana-62465	304	19	c.	c.	PROPN
bibechana-62465	304	20	peng	peng	PROPN
bibechana-62465	304	21	,	,	PUNCT
bibechana-62465	304	22	x.	x.	PROPN
bibechana-62465	304	23	pei	pei	PROPN
bibechana-62465	304	24	,	,	PUNCT
bibechana-62465	304	25	x.	x.	PROPN
bibechana-62465	304	26	li	li	PROPN
bibechana-62465	304	27	,	,	PUNCT
bibechana-62465	304	28	j.	j.	PROPN
bibechana-62465	304	29	p.	p.	PROPN
bibechana-62465	304	30	mailoa	mailoa	PROPN
bibechana-62465	304	31	,	,	PUNCT
bibechana-62465	304	32	c.	c.	PROPN
bibechana-62465	304	33	y.	y.	PROPN
bibechana-62465	304	34	hsieh	hsieh	PROPN
bibechana-62465	304	35	,	,	PUNCT
bibechana-62465	304	36	and	and	CCONJ
bibechana-62465	304	37	t.	t.	PROPN
bibechana-62465	304	38	wu	wu	PROPN
bibechana-62465	304	39	.	.	PUNCT
bibechana-62465	305	1	machine	machine	NOUN
bibechana-62465	305	2	learning	learning	NOUN
bibechana-62465	305	3	accelerated	accelerate	VERB
bibechana-62465	305	4	carbon	carbon	NOUN
bibechana-62465	305	5	neutrality	neutrality	NOUN
bibechana-62465	305	6	research	research	NOUN
bibechana-62465	305	7	using	use	VERB
bibechana-62465	305	8	big	big	ADJ
bibechana-62465	305	9	data	datum	NOUN
bibechana-62465	305	10	from	from	ADP
bibechana-62465	305	11	predictive	predictive	ADJ
bibechana-62465	305	12	models	model	NOUN
bibechana-62465	305	13	to	to	ADP
bibechana-62465	305	14	interatomic	interatomic	ADJ
bibechana-62465	305	15	potentials	potential	NOUN
bibechana-62465	305	16	.	.	PUNCT
bibechana-62465	306	1	science	science	PROPN
bibechana-62465	306	2	china	china	PROPN
bibechana-62465	306	3	technological	technological	ADJ
bibechana-62465	306	4	sciences	science	NOUN
bibechana-62465	306	5	,	,	PUNCT
bibechana-62465	306	6	65(10):2274–2296	65(10):2274–2296	NUM
bibechana-62465	306	7	,	,	PUNCT
bibechana-62465	306	8	2022	2022	NUM
bibechana-62465	306	9	.	.	PUNCT
bibechana-62465	307	1	[	[	X
bibechana-62465	307	2	38	38	NUM
bibechana-62465	307	3	]	]	PUNCT
bibechana-62465	307	4	d.	d.	PROPN
bibechana-62465	307	5	tena	tena	PROPN
bibechana-62465	307	6	-	-	PUNCT
bibechana-62465	307	7	gag	gag	NOUN
bibechana-62465	307	8	,	,	PUNCT
bibechana-62465	307	9	i.	i.	PROPN
bibechana-62465	307	10	golcarenarenji	golcarenarenji	PROPN
bibechana-62465	307	11	,	,	PUNCT
bibechana-62465	307	12	i.	i.	PROPN
bibechana-62465	307	13	martinezalpiste	martinezalpiste	PROPN
bibechana-62465	307	14	,	,	PUNCT
bibechana-62465	307	15	q.	q.	PROPN
bibechana-62465	307	16	wang	wang	PROPN
bibechana-62465	307	17	,	,	PUNCT
bibechana-62465	307	18	and	and	CCONJ
bibechana-62465	307	19	j.	j.	PROPN
bibechana-62465	307	20	m.	m.	PROPN
bibechana-62465	307	21	alcaraz	alcaraz	PROPN
bibechana-62465	307	22	-	-	PUNCT
bibechana-62465	307	23	calero	calero	NOUN
bibechana-62465	307	24	.	.	PUNCT
bibechana-62465	308	1	machine	machine	NOUN
bibechana-62465	308	2	-	-	PUNCT
bibechana-62465	308	3	learning	learning	NOUN
bibechana-62465	308	4	-	-	PUNCT
bibechana-62465	308	5	based	base	VERB
bibechana-62465	308	6	carbon	carbon	NOUN
bibechana-62465	308	7	dioxide	dioxide	NOUN
bibechana-62465	308	8	concentration	concentration	NOUN
bibechana-62465	308	9	prediction	prediction	NOUN
bibechana-62465	308	10	for	for	ADP
bibechana-62465	308	11	hybrid	hybrid	ADJ
bibechana-62465	308	12	vehicles	vehicle	NOUN
bibechana-62465	308	13	.	.	PUNCT
bibechana-62465	309	1	sensors	sensor	NOUN
bibechana-62465	309	2	,	,	PUNCT
bibechana-62465	309	3	23(3):1350	23(3):1350	PROPN
bibechana-62465	309	4	,	,	PUNCT
bibechana-62465	309	5	2023	2023	NUM
bibechana-62465	309	6	.	.	PUNCT
bibechana-62465	310	1	[	[	X
bibechana-62465	310	2	39	39	NUM
bibechana-62465	310	3	]	]	PUNCT
bibechana-62465	310	4	m.	m.	NOUN
bibechana-62465	310	5	mądziel	mądziel	NOUN
bibechana-62465	310	6	,	,	PUNCT
bibechana-62465	310	7	a.	a.	PROPN
bibechana-62465	310	8	jaworski	jaworski	PROPN
bibechana-62465	310	9	,	,	PUNCT
bibechana-62465	310	10	h.	h.	PROPN
bibechana-62465	310	11	kuszewski	kuszewski	PROPN
bibechana-62465	310	12	,	,	PUNCT
bibechana-62465	310	13	p.	p.	NOUN
bibechana-62465	310	14	woś	woś	PROPN
bibechana-62465	310	15	,	,	PUNCT
bibechana-62465	310	16	t.	t.	PROPN
bibechana-62465	310	17	campisi	campisi	PROPN
bibechana-62465	310	18	,	,	PUNCT
bibechana-62465	310	19	and	and	CCONJ
bibechana-62465	310	20	k.	k.	PROPN
bibechana-62465	310	21	lew	lew	PROPN
bibechana-62465	310	22	.	.	PUNCT
bibechana-62465	311	1	the	the	DET
bibechana-62465	311	2	development	development	NOUN
bibechana-62465	311	3	of	of	ADP
bibechana-62465	311	4	co2	co2	VERB
bibechana-62465	311	5	instantaneous	instantaneous	ADJ
bibechana-62465	311	6	emission	emission	NOUN
bibechana-62465	311	7	model	model	NOUN
bibechana-62465	311	8	of	of	ADP
bibechana-62465	311	9	full	full	ADJ
bibechana-62465	311	10	hybrid	hybrid	NOUN
bibechana-62465	311	11	vehicle	vehicle	NOUN
bibechana-62465	311	12	with	with	ADP
bibechana-62465	311	13	the	the	DET
bibechana-62465	311	14	use	use	NOUN
bibechana-62465	311	15	of	of	ADP
bibechana-62465	311	16	machine	machine	NOUN
bibechana-62465	311	17	learning	learn	VERB
bibechana-62465	311	18	techniques	technique	NOUN
bibechana-62465	311	19	.	.	PUNCT
bibechana-62465	312	1	energies	energy	NOUN
bibechana-62465	312	2	,	,	PUNCT
bibechana-62465	312	3	15:142	15:142	NUM
bibechana-62465	312	4	,	,	PUNCT
bibechana-62465	312	5	2021	2021	NUM
bibechana-62465	312	6	.	.	PUNCT
bibechana-62465	313	1	[	[	X
bibechana-62465	313	2	40	40	NUM
bibechana-62465	313	3	]	]	PUNCT
bibechana-62465	313	4	j.	j.	PROPN
bibechana-62465	313	5	seo	seo	PROPN
bibechana-62465	313	6	,	,	PUNCT
bibechana-62465	313	7	b.	b.	PROPN
bibechana-62465	313	8	yun	yun	PROPN
bibechana-62465	313	9	,	,	PUNCT
bibechana-62465	313	10	j.	j.	PROPN
bibechana-62465	313	11	park	park	PROPN
bibechana-62465	313	12	,	,	PUNCT
bibechana-62465	313	13	j.	j.	PROPN
bibechana-62465	313	14	park	park	PROPN
bibechana-62465	313	15	,	,	PUNCT
bibechana-62465	313	16	m.	m.	NOUN
bibechana-62465	313	17	shin	shin	PROPN
bibechana-62465	313	18	,	,	PUNCT
bibechana-62465	313	19	and	and	CCONJ
bibechana-62465	313	20	s.	s.	PROPN
bibechana-62465	313	21	park	park	PROPN
bibechana-62465	313	22	.	.	PUNCT
bibechana-62465	314	1	prediction	prediction	NOUN
bibechana-62465	314	2	of	of	ADP
bibechana-62465	314	3	instantaneous	instantaneous	ADJ
bibechana-62465	314	4	real	real	ADJ
bibechana-62465	314	5	-	-	PUNCT
bibechana-62465	314	6	world	world	NOUN
bibechana-62465	314	7	emissions	emission	NOUN
bibechana-62465	314	8	from	from	ADP
bibechana-62465	314	9	diesel	diesel	NOUN
bibechana-62465	314	10	light	light	ADJ
bibechana-62465	314	11	-	-	PUNCT
bibechana-62465	314	12	duty	duty	NOUN
bibechana-62465	314	13	vehicles	vehicle	NOUN
bibechana-62465	314	14	based	base	VERB
bibechana-62465	314	15	on	on	ADP
bibechana-62465	314	16	an	an	DET
bibechana-62465	314	17	integrated	integrate	VERB
bibechana-62465	314	18	artificial	artificial	ADJ
bibechana-62465	314	19	neural	neural	ADJ
bibechana-62465	314	20	network	network	NOUN
bibechana-62465	314	21	and	and	CCONJ
bibechana-62465	314	22	vehicle	vehicle	NOUN
bibechana-62465	314	23	dynamics	dynamic	NOUN
bibechana-62465	314	24	model	model	NOUN
bibechana-62465	314	25	.	.	PUNCT
bibechana-62465	315	1	science	science	NOUN
bibechana-62465	315	2	of	of	ADP
bibechana-62465	315	3	the	the	DET
bibechana-62465	315	4	total	total	ADJ
bibechana-62465	315	5	environment	environment	NOUN
bibechana-62465	315	6	,	,	PUNCT
bibechana-62465	315	7	786:147359	786:147359	NUM
bibechana-62465	315	8	,	,	PUNCT
bibechana-62465	315	9	2021	2021	NUM
bibechana-62465	315	10	.	.	PUNCT
bibechana-62465	316	1	[	[	X
bibechana-62465	316	2	41	41	NUM
bibechana-62465	316	3	]	]	X
bibechana-62465	316	4	s.	s.	PROPN
bibechana-62465	316	5	ghosh	ghosh	PROPN
bibechana-62465	316	6	,	,	PUNCT
bibechana-62465	316	7	g.	g.	PROPN
bibechana-62465	316	8	r.	r.	PROPN
bibechana-62465	316	9	rao	rao	PROPN
bibechana-62465	316	10	,	,	PUNCT
bibechana-62465	316	11	and	and	CCONJ
bibechana-62465	316	12	t.	t.	PROPN
bibechana-62465	316	13	thomas	thomas	PROPN
bibechana-62465	316	14	.	.	PUNCT
bibechana-62465	316	15	machine	machine	NOUN
bibechana-62465	316	16	learning	learning	NOUN
bibechana-62465	316	17	-	-	PUNCT
bibechana-62465	316	18	based	base	VERB
bibechana-62465	316	19	prediction	prediction	NOUN
bibechana-62465	316	20	of	of	ADP
bibechana-62465	316	21	supercapacitor	supercapacitor	NOUN
bibechana-62465	316	22	performance	performance	NOUN
bibechana-62465	316	23	for	for	ADP
bibechana-62465	316	24	a	a	DET
bibechana-62465	316	25	novel	novel	ADJ
bibechana-62465	316	26	electrode	electrode	NOUN
bibechana-62465	316	27	material	material	NOUN
bibechana-62465	316	28	:	:	PUNCT
bibechana-62465	316	29	cerium	cerium	NOUN
bibechana-62465	316	30	oxynitride	oxynitride	ADJ
bibechana-62465	316	31	.	.	PUNCT
bibechana-62465	317	1	energy	energy	NOUN
bibechana-62465	317	2	storage	storage	NOUN
bibechana-62465	317	3	materials	material	NOUN
bibechana-62465	317	4	,	,	PUNCT
bibechana-62465	317	5	40:426–438	40:426–438	NOUN
bibechana-62465	317	6	,	,	PUNCT
bibechana-62465	317	7	2021	2021	NUM
bibechana-62465	317	8	.	.	PUNCT
bibechana-62465	318	1	[	[	X
bibechana-62465	318	2	42	42	NUM
bibechana-62465	318	3	]	]	X
bibechana-62465	318	4	y.	y.	PROPN
bibechana-62465	318	5	y.	y.	PROPN
bibechana-62465	318	6	chia	chia	PROPN
bibechana-62465	318	7	,	,	PUNCT
bibechana-62465	318	8	l.	l.	PROPN
bibechana-62465	318	9	h.	h.	PROPN
bibechana-62465	318	10	lee	lee	PROPN
bibechana-62465	318	11	,	,	PUNCT
bibechana-62465	318	12	s.	s.	PROPN
bibechana-62465	318	13	shafiabady	shafiabady	PROPN
bibechana-62465	318	14	,	,	PUNCT
bibechana-62465	318	15	and	and	CCONJ
bibechana-62465	318	16	d.	d.	PROPN
bibechana-62465	318	17	isa	isa	PROPN
bibechana-62465	318	18	.	.	PUNCT
bibechana-62465	319	1	a	a	DET
bibechana-62465	319	2	load	load	NOUN
bibechana-62465	319	3	predictive	predictive	ADJ
bibechana-62465	319	4	energy	energy	NOUN
bibechana-62465	319	5	management	management	NOUN
bibechana-62465	319	6	system	system	NOUN
bibechana-62465	319	7	for	for	ADP
bibechana-62465	319	8	supercapacitor	supercapacitor	NOUN
bibechana-62465	319	9	-	-	PUNCT
bibechana-62465	319	10	battery	battery	NOUN
bibechana-62465	319	11	hybrid	hybrid	ADJ
bibechana-62465	319	12	energy	energy	NOUN
bibechana-62465	319	13	storage	storage	NOUN
bibechana-62465	319	14	system	system	NOUN
bibechana-62465	319	15	in	in	ADP
bibechana-62465	319	16	solar	solar	ADJ
bibechana-62465	319	17	application	application	NOUN
bibechana-62465	319	18	using	use	VERB
bibechana-62465	319	19	the	the	DET
bibechana-62465	319	20	support	support	NOUN
bibechana-62465	319	21	vector	vector	NOUN
bibechana-62465	319	22	machine	machine	NOUN
bibechana-62465	319	23	.	.	PUNCT
bibechana-62465	320	1	applied	apply	VERB
bibechana-62465	320	2	energy	energy	NOUN
bibechana-62465	320	3	,	,	PUNCT
bibechana-62465	320	4	137:588–602	137:588–602	NUM
bibechana-62465	320	5	,	,	PUNCT
bibechana-62465	320	6	2015	2015	NUM
bibechana-62465	320	7	.	.	PUNCT
bibechana-62465	321	1	introduction	introduction	NOUN
bibechana-62465	321	2	machine	machine	NOUN
bibechana-62465	321	3	learning	learning	NOUN
bibechana-62465	321	4	models	model	VERB
bibechana-62465	321	5	materials	material	NOUN
bibechana-62465	321	6	and	and	CCONJ
bibechana-62465	321	7	methods	method	NOUN
bibechana-62465	321	8	experimental	experimental	ADJ
bibechana-62465	321	9	computational	computational	ADJ
bibechana-62465	321	10	data	datum	NOUN
bibechana-62465	321	11	collection	collection	NOUN
bibechana-62465	321	12	machine	machine	NOUN
bibechana-62465	321	13	learning	learning	NOUN
bibechana-62465	321	14	process	process	NOUN
bibechana-62465	321	15	proposed	propose	VERB
bibechana-62465	321	16	model	model	NOUN
bibechana-62465	321	17	selection	selection	NOUN
bibechana-62465	321	18	model	model	NOUN
bibechana-62465	321	19	evaluation	evaluation	NOUN
bibechana-62465	321	20	model	model	NOUN
bibechana-62465	321	21	evaluation	evaluation	NOUN
bibechana-62465	321	22	parameters	parameter	NOUN
bibechana-62465	321	23	results	result	VERB
bibechana-62465	321	24	and	and	CCONJ
bibechana-62465	321	25	discussion	discussion	NOUN
bibechana-62465	321	26	statistical	statistical	ADJ
bibechana-62465	321	27	analysis	analysis	NOUN
bibechana-62465	321	28	of	of	ADP
bibechana-62465	321	29	datasets	dataset	NOUN
bibechana-62465	321	30	machine	machine	NOUN
bibechana-62465	321	31	learning	learning	NOUN
bibechana-62465	321	32	prediction	prediction	NOUN
bibechana-62465	321	33	model	model	NOUN
bibechana-62465	321	34	evaluation	evaluation	NOUN
bibechana-62465	321	35	comparative	comparative	ADJ
bibechana-62465	321	36	analysis	analysis	NOUN
bibechana-62465	321	37	with	with	ADP
bibechana-62465	321	38	chemical	chemical	ADJ
bibechana-62465	321	39	methods	method	NOUN
bibechana-62465	321	40	hyperparameter	hyperparameter	NOUN
bibechana-62465	321	41	tuning	tune	VERB
bibechana-62465	321	42	conclusion	conclusion	NOUN