id	sid	tid	token	lemma	pos
cana-3142	1	1	communications	communication	NOUN
cana-3142	1	2	on	on	ADP
cana-3142	1	3	applied	apply	VERB
cana-3142	1	4	nonlinear	nonlinear	ADJ
cana-3142	1	5	analysis	analysis	NOUN
cana-3142	1	6	issn	issn	NOUN
cana-3142	1	7	:	:	PUNCT
cana-3142	1	8	1074	1074	NUM
cana-3142	1	9	-	-	PUNCT
cana-3142	1	10	133x	133x	NUM
cana-3142	1	11	vol	vol	NOUN
cana-3142	1	12	32	32	NUM
cana-3142	1	13	no	no	NOUN
cana-3142	1	14	.	.	PUNCT
cana-3142	2	1	5s	5s	NUM
cana-3142	2	2	(	(	PUNCT
cana-3142	2	3	2025	2025	NUM
cana-3142	2	4	)	)	PUNCT
cana-3142	2	5	444	444	NUM
cana-3142	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	2	7	a	a	DET
cana-3142	2	8	type	type	NOUN
cana-3142	2	9	2	2	NUM
cana-3142	2	10	fuzzy	fuzzy	ADJ
cana-3142	2	11	logic	logic	NOUN
cana-3142	2	12	model	model	NOUN
cana-3142	2	13	to	to	PART
cana-3142	2	14	predict	predict	VERB
cana-3142	2	15	the	the	DET
cana-3142	2	16	force	force	NOUN
cana-3142	2	17	during	during	ADP
cana-3142	2	18	the	the	DET
cana-3142	2	19	turning	turning	NOUN
cana-3142	2	20	process	process	NOUN
cana-3142	2	21	kumar	kumar	PROPN
cana-3142	2	22	devapogu	devapogu	PROPN
cana-3142	2	23	1	1	NUM
cana-3142	2	24	,	,	PUNCT
cana-3142	2	25	t	t	PROPN
cana-3142	2	26	murali	murali	PROPN
cana-3142	2	27	krishna	krishna	PROPN
cana-3142	2	28	2	2	NUM
cana-3142	2	29	,	,	PUNCT
cana-3142	2	30	k.	k.	PROPN
cana-3142	2	31	bhanu	bhanu	PROPN
cana-3142	2	32	rajesh	rajesh	PROPN
cana-3142	2	33	naidu	naidu	PROPN
cana-3142	2	34	3	3	NUM
cana-3142	2	35	,	,	PUNCT
cana-3142	2	36	a	a	DET
cana-3142	2	37	sravanthi	sravanthi	ADJ
cana-3142	2	38	peddinti	peddinti	ADJ
cana-3142	2	39	4	4	NUM
cana-3142	2	40	,	,	PUNCT
cana-3142	2	41	dr	dr	PROPN
cana-3142	2	42	.	.	PROPN
cana-3142	2	43	inakoti	inakoti	PROPN
cana-3142	2	44	ramesh	ramesh	PROPN
cana-3142	2	45	raja	raja	PROPN
cana-3142	2	46	5	5	NUM
cana-3142	2	47	,	,	PUNCT
cana-3142	2	48	narasimha	narasimha	PROPN
cana-3142	2	49	marakala	marakala	NOUN
cana-3142	2	50	6	6	NUM
cana-3142	2	51	1	1	NUM
cana-3142	2	52	vignan	vignan	NOUN
cana-3142	2	53	's	's	PART
cana-3142	2	54	foundation	foundation	NOUN
cana-3142	2	55	for	for	ADP
cana-3142	2	56	science	science	NOUN
cana-3142	2	57	,	,	PUNCT
cana-3142	2	58	technology&research	technology&research	NOUN
cana-3142	2	59	-	-	PUNCT
cana-3142	2	60	guntur	guntur	PROPN
cana-3142	2	61	,	,	PUNCT
cana-3142	2	62	india	india	PROPN
cana-3142	2	63	.	.	PUNCT
cana-3142	3	1	kumar.mtech1@gmail.com	kumar.mtech1@gmail.com	PROPN
cana-3142	3	2	2	2	NUM
cana-3142	3	3	department	department	NOUN
cana-3142	3	4	of	of	ADP
cana-3142	3	5	electrical	electrical	ADJ
cana-3142	3	6	and	and	CCONJ
cana-3142	3	7	electronics	electronic	NOUN
cana-3142	3	8	engineering	engineering	NOUN
cana-3142	3	9	,	,	PUNCT
cana-3142	3	10	chaitanya	chaitanya	PROPN
cana-3142	3	11	bharathi	bharathi	PROPN
cana-3142	3	12	institute	institute	PROPN
cana-3142	3	13	of	of	ADP
cana-3142	3	14	technology	technology	PROPN
cana-3142	3	15	,	,	PUNCT
cana-3142	3	16	hyderabad	hyderabad	PROPN
cana-3142	3	17	,	,	PUNCT
cana-3142	3	18	india	india	PROPN
cana-3142	3	19	,	,	PUNCT
cana-3142	3	20	tmuralikrishna_eee@cbit.ac.in	tmuralikrishna_eee@cbit.ac.in	NUM
cana-3142	3	21	3	3	NUM
cana-3142	3	22	department	department	NOUN
cana-3142	3	23	of	of	ADP
cana-3142	3	24	computer	computer	NOUN
cana-3142	3	25	science	science	PROPN
cana-3142	3	26	&	&	CCONJ
cana-3142	3	27	technology	technology	PROPN
cana-3142	3	28	,	,	PUNCT
cana-3142	3	29	madanapalle	madanapalle	PROPN
cana-3142	3	30	institute	institute	PROPN
cana-3142	3	31	of	of	ADP
cana-3142	3	32	technology	technology	PROPN
cana-3142	3	33	&	&	CCONJ
cana-3142	3	34	science	science	PROPN
cana-3142	3	35	,	,	PUNCT
cana-3142	3	36	kadiri	kadiri	PROPN
cana-3142	3	37	road	road	PROPN
cana-3142	3	38	,	,	PUNCT
cana-3142	3	39	angallu	angallu	NOUN
cana-3142	3	40	,	,	PUNCT
cana-3142	3	41	madanapalle	madanapalle	NOUN
cana-3142	3	42	,	,	PUNCT
cana-3142	3	43	andhra	andhra	PROPN
cana-3142	3	44	pradesh	pradesh	PROPN
cana-3142	3	45	,	,	PUNCT
cana-3142	3	46	india	india	PROPN
cana-3142	3	47	.	.	PUNCT
cana-3142	4	1	bhanurajesh9493@gmail.com	bhanurajesh9493@gmail.com	PROPN
cana-3142	4	2	4	4	NUM
cana-3142	4	3	department	department	NOUN
cana-3142	4	4	of	of	ADP
cana-3142	4	5	electronics	electronic	NOUN
cana-3142	4	6	and	and	CCONJ
cana-3142	4	7	communication	communication	NOUN
cana-3142	4	8	engineering	engineering	NOUN
cana-3142	4	9	,	,	PUNCT
cana-3142	4	10	aditya	aditya	PROPN
cana-3142	4	11	university	university	PROPN
cana-3142	4	12	,	,	PUNCT
cana-3142	4	13	surampalem	surampalem	NOUN
cana-3142	4	14	,	,	PUNCT
cana-3142	4	15	india	india	PROPN
cana-3142	4	16	sravanthi.angara@acet.ac.in	sravanthi.angara@acet.ac.in	NUM
cana-3142	4	17	5	5	NUM
cana-3142	4	18	department	department	NOUN
cana-3142	4	19	of	of	ADP
cana-3142	4	20	electronics	electronic	NOUN
cana-3142	4	21	and	and	CCONJ
cana-3142	4	22	communication	communication	NOUN
cana-3142	4	23	engineering	engineering	NOUN
cana-3142	4	24	,	,	PUNCT
cana-3142	4	25	aditya	aditya	PROPN
cana-3142	4	26	university	university	PROPN
cana-3142	4	27	,	,	PUNCT
cana-3142	4	28	surampalem	surampalem	NOUN
cana-3142	4	29	,	,	PUNCT
cana-3142	4	30	india	india	PROPN
cana-3142	4	31	.	.	PUNCT
cana-3142	5	1	inakoti.rameshraja@gmail.com	inakoti.rameshraja@gmail.com	X
cana-3142	5	2	6	6	NUM
cana-3142	5	3	nitte	nitte	NOUN
cana-3142	5	4	(	(	PUNCT
cana-3142	5	5	deemed	deem	VERB
cana-3142	5	6	to	to	PART
cana-3142	5	7	be	be	AUX
cana-3142	5	8	university	university	NOUN
cana-3142	5	9	)	)	PUNCT
cana-3142	5	10	,	,	PUNCT
cana-3142	5	11	nmam	nmam	PROPN
cana-3142	5	12	institute	institute	PROPN
cana-3142	5	13	of	of	ADP
cana-3142	5	14	technology	technology	PROPN
cana-3142	5	15	,	,	PUNCT
cana-3142	5	16	nitte	nitte	NOUN
cana-3142	5	17	,	,	PUNCT
cana-3142	5	18	karkala	karkala	PROPN
cana-3142	5	19	,	,	PUNCT
cana-3142	5	20	india	india	PROPN
cana-3142	5	21	.	.	PUNCT
cana-3142	6	1	nmarakala@nitte.edu.in	nmarakala@nitte.edu.in	PROPN
cana-3142	6	2	article	article	NOUN
cana-3142	6	3	history	history	NOUN
cana-3142	6	4	:	:	PUNCT
cana-3142	6	5	received	receive	VERB
cana-3142	6	6	:	:	PUNCT
cana-3142	6	7	11	11	NUM
cana-3142	6	8	-	-	SYM
cana-3142	6	9	10	10	NUM
cana-3142	6	10	-	-	PUNCT
cana-3142	6	11	2024	2024	NUM
cana-3142	6	12	revised	revise	VERB
cana-3142	6	13	:	:	PUNCT
cana-3142	6	14	27	27	NUM
cana-3142	6	15	-	-	SYM
cana-3142	6	16	11	11	NUM
cana-3142	6	17	-	-	PUNCT
cana-3142	6	18	2024	2024	NUM
cana-3142	6	19	accepted	accept	VERB
cana-3142	6	20	:	:	PUNCT
cana-3142	6	21	09	09	NUM
cana-3142	6	22	-	-	SYM
cana-3142	6	23	12	12	NUM
cana-3142	6	24	-	-	PUNCT
cana-3142	6	25	2024	2024	NUM
cana-3142	6	26	abstract	abstract	NOUN
cana-3142	6	27	:	:	PUNCT
cana-3142	6	28	this	this	DET
cana-3142	6	29	study	study	NOUN
cana-3142	6	30	introduces	introduce	VERB
cana-3142	6	31	a	a	DET
cana-3142	6	32	compensatory	compensatory	ADJ
cana-3142	6	33	fuzzy	fuzzy	ADJ
cana-3142	6	34	logic	logic	NOUN
cana-3142	6	35	system	system	NOUN
cana-3142	6	36	for	for	ADP
cana-3142	6	37	modelling	model	VERB
cana-3142	6	38	turning	turning	NOUN
cana-3142	6	39	processes	process	NOUN
cana-3142	6	40	by	by	ADP
cana-3142	6	41	combining	combine	VERB
cana-3142	6	42	the	the	DET
cana-3142	6	43	gaussian	gaussian	ADJ
cana-3142	6	44	mixture	mixture	NOUN
cana-3142	6	45	model	model	NOUN
cana-3142	6	46	(	(	PUNCT
cana-3142	6	47	gmm	gmm	NOUN
cana-3142	6	48	)	)	PUNCT
cana-3142	6	49	with	with	ADP
cana-3142	6	50	an	an	DET
cana-3142	6	51	intervals	interval	NOUN
cana-3142	6	52	-	-	PUNCT
cana-3142	6	53	based	base	VERB
cana-3142	6	54	type	type	NOUN
cana-3142	6	55	2	2	NUM
cana-3142	6	56	fuzzy	fuzzy	ADJ
cana-3142	6	57	logical	logical	ADJ
cana-3142	6	58	system	system	NOUN
cana-3142	6	59	.	.	PUNCT
cana-3142	7	1	to	to	PART
cana-3142	7	2	simulate	simulate	VERB
cana-3142	7	3	the	the	DET
cana-3142	7	4	turning	turning	NOUN
cana-3142	7	5	process	process	NOUN
cana-3142	7	6	,	,	PUNCT
cana-3142	7	7	an	an	DET
cana-3142	7	8	it2fls	it2fls	PROPN
cana-3142	7	9	is	be	AUX
cana-3142	7	10	first	first	ADV
cana-3142	7	11	evoked	evoke	VERB
cana-3142	7	12	.	.	PUNCT
cana-3142	8	1	the	the	DET
cana-3142	8	2	input	input	NOUN
cana-3142	8	3	variables	variable	NOUN
cana-3142	8	4	of	of	ADP
cana-3142	8	5	this	this	DET
cana-3142	8	6	model	model	NOUN
cana-3142	8	7	are	be	AUX
cana-3142	8	8	mapped	map	VERB
cana-3142	8	9	to	to	ADP
cana-3142	8	10	the	the	DET
cana-3142	8	11	force	force	NOUN
cana-3142	8	12	of	of	ADP
cana-3142	8	13	cutting	cutting	NOUN
cana-3142	8	14	and	and	CCONJ
cana-3142	8	15	surface	surface	NOUN
cana-3142	8	16	quality	quality	NOUN
cana-3142	8	17	.	.	PUNCT
cana-3142	9	1	the	the	DET
cana-3142	9	2	second	second	ADJ
cana-3142	9	3	step	step	NOUN
cana-3142	9	4	is	be	AUX
cana-3142	9	5	to	to	PART
cana-3142	9	6	fix	fix	VERB
cana-3142	9	7	the	the	DET
cana-3142	9	8	error	error	NOUN
cana-3142	9	9	residuals	residual	NOUN
cana-3142	9	10	by	by	ADP
cana-3142	9	11	using	use	VERB
cana-3142	9	12	the	the	DET
cana-3142	9	13	gmm	gmm	NOUN
cana-3142	9	14	within	within	ADP
cana-3142	9	15	the	the	DET
cana-3142	9	16	it2fls	it2fls	PROPN
cana-3142	9	17	framework	framework	NOUN
cana-3142	9	18	.	.	PUNCT
cana-3142	10	1	most	most	ADJ
cana-3142	10	2	models	model	NOUN
cana-3142	10	3	are	be	AUX
cana-3142	10	4	built	build	VERB
cana-3142	10	5	on	on	ADP
cana-3142	10	6	the	the	DET
cana-3142	10	7	premise	premise	NOUN
cana-3142	10	8	that	that	SCONJ
cana-3142	10	9	the	the	DET
cana-3142	10	10	error	error	NOUN
cana-3142	10	11	is	be	AUX
cana-3142	10	12	normally	normally	ADV
cana-3142	10	13	distributed	distribute	VERB
cana-3142	10	14	,	,	PUNCT
cana-3142	10	15	which	which	PRON
cana-3142	10	16	is	be	AUX
cana-3142	10	17	where	where	SCONJ
cana-3142	10	18	the	the	DET
cana-3142	10	19	concept	concept	NOUN
cana-3142	10	20	for	for	ADP
cana-3142	10	21	such	such	DET
cana-3142	10	22	an	an	DET
cana-3142	10	23	inclusion	inclusion	NOUN
cana-3142	10	24	comes	come	VERB
cana-3142	10	25	from	from	ADP
cana-3142	10	26	.	.	PUNCT
cana-3142	11	1	during	during	ADP
cana-3142	11	2	its	its	PRON
cana-3142	11	3	development	development	NOUN
cana-3142	11	4	,	,	PUNCT
cana-3142	11	5	the	the	DET
cana-3142	11	6	gmm	gmm	NOUN
cana-3142	11	7	takes	take	VERB
cana-3142	11	8	stochastic	stochastic	NOUN
cana-3142	11	9	,	,	PUNCT
cana-3142	11	10	un	un	ADJ
cana-3142	11	11	-	-	ADJ
cana-3142	11	12	delayed	delay	VERB
cana-3142	11	13	behaviours	behaviour	NOUN
cana-3142	11	14	into	into	ADP
cana-3142	11	15	account	account	NOUN
cana-3142	11	16	while	while	SCONJ
cana-3142	11	17	also	also	ADV
cana-3142	11	18	refining	refine	VERB
cana-3142	11	19	the	the	DET
cana-3142	11	20	derived	derive	VERB
cana-3142	11	21	rules	rule	NOUN
cana-3142	11	22	the	the	DET
cana-3142	11	23	compensating	compensate	VERB
cana-3142	11	24	fuzzy	fuzzy	ADJ
cana-3142	11	25	logic	logic	NOUN
cana-3142	11	26	system	system	NOUN
cana-3142	11	27	can	can	AUX
cana-3142	11	28	effectively	effectively	ADV
cana-3142	11	29	manage	manage	VERB
cana-3142	11	30	uncertainties	uncertainty	NOUN
cana-3142	11	31	,	,	PUNCT
cana-3142	11	32	predict	predict	VERB
cana-3142	11	33	the	the	DET
cana-3142	11	34	force	force	NOUN
cana-3142	11	35	of	of	ADP
cana-3142	11	36	cutting	cutting	NOUN
cana-3142	11	37	and	and	CCONJ
cana-3142	11	38	surface	surface	NOUN
cana-3142	11	39	quality	quality	NOUN
cana-3142	11	40	,	,	PUNCT
cana-3142	11	41	and	and	CCONJ
cana-3142	11	42	provide	provide	VERB
cana-3142	11	43	users	user	NOUN
cana-3142	11	44	with	with	ADP
cana-3142	11	45	a	a	DET
cana-3142	11	46	comprehensive	comprehensive	ADJ
cana-3142	11	47	understanding	understanding	NOUN
cana-3142	11	48	of	of	ADP
cana-3142	11	49	the	the	DET
cana-3142	11	50	turning	turning	NOUN
cana-3142	11	51	processes	process	NOUN
cana-3142	11	52	,	,	PUNCT
cana-3142	11	53	according	accord	VERB
cana-3142	11	54	to	to	ADP
cana-3142	11	55	experimental	experimental	ADJ
cana-3142	11	56	validation	validation	NOUN
cana-3142	11	57	.	.	PUNCT
cana-3142	12	1	keywords	keyword	NOUN
cana-3142	12	2	:	:	PUNCT
cana-3142	12	3	fuzzy	fuzzy	ADJ
cana-3142	12	4	logic	logic	NOUN
cana-3142	12	5	,	,	PUNCT
cana-3142	12	6	gmm	gmm	PROPN
cana-3142	12	7	,	,	PUNCT
cana-3142	12	8	it2fls	it2fls	PROPN
cana-3142	12	9	,	,	PUNCT
cana-3142	12	10	error	error	NOUN
cana-3142	12	11	residuals	residual	NOUN
cana-3142	12	12	,	,	PUNCT
cana-3142	12	13	turning	turn	VERB
cana-3142	12	14	process	process	NOUN
cana-3142	12	15	.	.	PUNCT
cana-3142	13	1	1	1	X
cana-3142	13	2	.	.	X
cana-3142	13	3	introduction	introduction	NOUN
cana-3142	13	4	multiple	multiple	ADJ
cana-3142	13	5	revolutions	revolution	NOUN
cana-3142	13	6	have	have	AUX
cana-3142	13	7	occurred	occur	VERB
cana-3142	13	8	in	in	ADP
cana-3142	13	9	the	the	DET
cana-3142	13	10	manufacturing	manufacturing	NOUN
cana-3142	13	11	business	business	NOUN
cana-3142	13	12	.	.	PUNCT
cana-3142	14	1	predictive	predictive	ADJ
cana-3142	14	2	analytics	analytic	NOUN
cana-3142	14	3	has	have	AUX
cana-3142	14	4	been	be	AUX
cana-3142	14	5	extensively	extensively	ADV
cana-3142	14	6	used	use	VERB
cana-3142	14	7	in	in	ADP
cana-3142	14	8	the	the	DET
cana-3142	14	9	recent	recent	ADJ
cana-3142	14	10	fourth	fourth	ADJ
cana-3142	14	11	industrial	industrial	ADJ
cana-3142	14	12	revolution	revolution	NOUN
cana-3142	14	13	(	(	PUNCT
cana-3142	14	14	4ir	4ir	NOUN
cana-3142	14	15	)	)	PUNCT
cana-3142	14	16	to	to	PART
cana-3142	14	17	make	make	VERB
cana-3142	14	18	production	production	NOUN
cana-3142	14	19	processes	process	NOUN
cana-3142	14	20	more	more	ADV
cana-3142	14	21	predictable	predictable	ADJ
cana-3142	14	22	,	,	PUNCT
cana-3142	14	23	adaptable	adaptable	ADJ
cana-3142	14	24	,	,	PUNCT
cana-3142	14	25	and	and	CCONJ
cana-3142	14	26	controlled	control	VERB
cana-3142	14	27	.	.	PUNCT
cana-3142	15	1	among	among	ADP
cana-3142	15	2	the	the	DET
cana-3142	15	3	many	many	ADJ
cana-3142	15	4	sorts	sort	NOUN
cana-3142	15	5	of	of	ADP
cana-3142	15	6	manufacturing	manufacturing	NOUN
cana-3142	15	7	processes	process	NOUN
cana-3142	15	8	,	,	PUNCT
cana-3142	15	9	the	the	DET
cana-3142	15	10	4ir	4ir	NOUN
cana-3142	15	11	is	be	AUX
cana-3142	15	12	most	most	ADV
cana-3142	15	13	useful	useful	ADJ
cana-3142	15	14	for	for	ADP
cana-3142	15	15	turning	turn	VERB
cana-3142	15	16	operations	operation	NOUN
cana-3142	15	17	,	,	PUNCT
cana-3142	15	18	which	which	PRON
cana-3142	15	19	are	be	AUX
cana-3142	15	20	a	a	DET
cana-3142	15	21	kind	kind	NOUN
cana-3142	15	22	of	of	ADP
cana-3142	15	23	machining	machining	NOUN
cana-3142	15	24	.	.	PUNCT
cana-3142	16	1	it	it	PRON
cana-3142	16	2	is	be	AUX
cana-3142	16	3	customary	customary	ADJ
cana-3142	16	4	practice	practice	NOUN
cana-3142	16	5	to	to	PART
cana-3142	16	6	use	use	VERB
cana-3142	16	7	the	the	DET
cana-3142	16	8	turning	turning	NOUN
cana-3142	16	9	process	process	NOUN
cana-3142	16	10	,	,	PUNCT
cana-3142	16	11	1	1	NUM
cana-3142	16	12	of	of	ADP
cana-3142	16	13	four	four	NUM
cana-3142	16	14	famous	famous	ADJ
cana-3142	16	15	cutting	cutting	NOUN
cana-3142	16	16	of	of	ADP
cana-3142	16	17	metal	metal	NOUN
cana-3142	16	18	procedures	procedure	NOUN
cana-3142	16	19	,	,	PUNCT
cana-3142	16	20	to	to	PART
cana-3142	16	21	create	create	VERB
cana-3142	16	22	multi	multi	ADJ
cana-3142	16	23	-	-	ADJ
cana-3142	16	24	featured	featured	ADJ
cana-3142	16	25	,	,	PUNCT
cana-3142	16	26	rotating	rotating	NOUN
cana-3142	16	27	,	,	PUNCT
cana-3142	16	28	and	and	CCONJ
cana-3142	16	29	sometimes	sometimes	ADV
cana-3142	16	30	axisymmetrical	axisymmetrical	ADJ
cana-3142	16	31	components	component	NOUN
cana-3142	16	32	.	.	PUNCT
cana-3142	17	1	a	a	DET
cana-3142	17	2	cutting	cut	VERB
cana-3142	17	3	tool	tool	NOUN
cana-3142	17	4	,	,	PUNCT
cana-3142	17	5	either	either	CCONJ
cana-3142	17	6	single	single	ADV
cana-3142	17	7	-	-	PUNCT
cana-3142	17	8	pointed	pointed	ADJ
cana-3142	17	9	or	or	CCONJ
cana-3142	17	10	multi	multi	ADJ
cana-3142	17	11	-	-	ADJ
cana-3142	17	12	pointed	pointed	ADJ
cana-3142	17	13	,	,	PUNCT
cana-3142	17	14	is	be	AUX
cana-3142	17	15	fed	feed	VERB
cana-3142	17	16	into	into	ADP
cana-3142	17	17	a	a	DET
cana-3142	17	18	workpiece	workpiece	NOUN
cana-3142	17	19	that	that	PRON
cana-3142	17	20	is	be	AUX
cana-3142	17	21	in	in	ADP
cana-3142	17	22	motion	motion	NOUN
cana-3142	17	23	to	to	PART
cana-3142	17	24	chip	chip	VERB
cana-3142	17	25	off	off	ADP
cana-3142	17	26	the	the	DET
cana-3142	17	27	necessary	necessary	ADJ
cana-3142	17	28	materials	material	NOUN
cana-3142	17	29	for	for	ADP
cana-3142	17	30	the	the	DET
cana-3142	17	31	pieces	piece	NOUN
cana-3142	17	32	.	.	PUNCT
cana-3142	18	1	much	much	ADJ
cana-3142	18	2	effort	effort	NOUN
cana-3142	18	3	has	have	AUX
cana-3142	18	4	gone	go	VERB
cana-3142	18	5	into	into	ADP
cana-3142	18	6	studying	study	VERB
cana-3142	18	7	and	and	CCONJ
cana-3142	18	8	modeling	model	VERB
cana-3142	18	9	the	the	DET
cana-3142	18	10	turning	turning	NOUN
cana-3142	18	11	process	process	NOUN
cana-3142	18	12	because	because	SCONJ
cana-3142	18	13	of	of	ADP
cana-3142	18	14	its	its	PRON
cana-3142	18	15	importance	importance	NOUN
cana-3142	18	16	as	as	ADP
cana-3142	18	17	a	a	DET
cana-3142	18	18	fundamental	fundamental	ADJ
cana-3142	18	19	industrial	industrial	ADJ
cana-3142	18	20	process	process	NOUN
cana-3142	18	21	.	.	PUNCT
cana-3142	19	1	research	research	NOUN
cana-3142	19	2	in	in	ADP
cana-3142	19	3	this	this	DET
cana-3142	19	4	area	area	NOUN
cana-3142	19	5	has	have	AUX
cana-3142	19	6	included	include	VERB
cana-3142	19	7	books	book	NOUN
cana-3142	19	8	and	and	CCONJ
cana-3142	19	9	articles	article	NOUN
cana-3142	19	10	that	that	PRON
cana-3142	19	11	try	try	VERB
cana-3142	19	12	to	to	PART
cana-3142	19	13	explain	explain	VERB
cana-3142	19	14	how	how	SCONJ
cana-3142	19	15	different	different	ADJ
cana-3142	19	16	communications	communication	NOUN
cana-3142	19	17	on	on	ADP
cana-3142	19	18	applied	apply	VERB
cana-3142	19	19	nonlinear	nonlinear	ADJ
cana-3142	19	20	analysis	analysis	NOUN
cana-3142	19	21	issn	issn	NOUN
cana-3142	19	22	:	:	PUNCT
cana-3142	19	23	1074	1074	NUM
cana-3142	19	24	-	-	PUNCT
cana-3142	19	25	133x	133x	NUM
cana-3142	19	26	vol	vol	NOUN
cana-3142	19	27	32	32	NUM
cana-3142	19	28	no	no	NOUN
cana-3142	19	29	.	.	PUNCT
cana-3142	20	1	5s	5s	NUM
cana-3142	20	2	(	(	PUNCT
cana-3142	20	3	2025	2025	NUM
cana-3142	20	4	)	)	PUNCT
cana-3142	20	5	445	445	NUM
cana-3142	21	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	21	2	cutting	cut	VERB
cana-3142	21	3	variables	variable	NOUN
cana-3142	21	4	(	(	PUNCT
cana-3142	21	5	such	such	ADJ
cana-3142	21	6	as	as	ADP
cana-3142	21	7	feed	feed	NOUN
cana-3142	21	8	rate	rate	NOUN
cana-3142	21	9	and	and	CCONJ
cana-3142	21	10	cutting	cut	VERB
cana-3142	21	11	rotational	rotational	ADJ
cana-3142	21	12	speed	speed	NOUN
cana-3142	21	13	)	)	PUNCT
cana-3142	21	14	and	and	CCONJ
cana-3142	21	15	tool	tool	NOUN
cana-3142	21	16	geometries	geometry	NOUN
cana-3142	21	17	(	(	PUNCT
cana-3142	21	18	such	such	ADJ
cana-3142	21	19	as	as	ADP
cana-3142	21	20	back	back	ADJ
cana-3142	21	21	rake	rake	NOUN
cana-3142	21	22	angle	angle	NOUN
cana-3142	21	23	)	)	PUNCT
cana-3142	21	24	affect	affect	VERB
cana-3142	21	25	the	the	DET
cana-3142	21	26	surface	surface	NOUN
cana-3142	21	27	roughness	roughness	NOUN
cana-3142	21	28	,	,	PUNCT
cana-3142	21	29	cutting	cut	VERB
cana-3142	21	30	force	force	NOUN
cana-3142	21	31	,	,	PUNCT
cana-3142	21	32	and	and	CCONJ
cana-3142	21	33	tool	tool	NOUN
cana-3142	21	34	wear	wear	NOUN
cana-3142	21	35	of	of	ADP
cana-3142	21	36	a	a	DET
cana-3142	21	37	machined	machine	VERB
cana-3142	21	38	specimen	speciman	NOUN
cana-3142	21	39	.	.	PUNCT
cana-3142	22	1	the	the	DET
cana-3142	22	2	turning	turning	NOUN
cana-3142	22	3	process	process	NOUN
cana-3142	22	4	as	as	ADV
cana-3142	22	5	well	well	ADV
cana-3142	22	6	as	as	ADP
cana-3142	22	7	its	its	PRON
cana-3142	22	8	influencing	influence	VERB
cana-3142	22	9	aspects	aspect	NOUN
cana-3142	22	10	have	have	AUX
cana-3142	22	11	been	be	AUX
cana-3142	22	12	thoroughly	thoroughly	ADV
cana-3142	22	13	explained	explain	VERB
cana-3142	22	14	in	in	ADP
cana-3142	22	15	these	these	DET
cana-3142	22	16	books	book	NOUN
cana-3142	22	17	and	and	CCONJ
cana-3142	22	18	research	research	NOUN
cana-3142	22	19	articles	article	NOUN
cana-3142	22	20	.	.	PUNCT
cana-3142	23	1	nevertheless	nevertheless	ADV
cana-3142	23	2	,	,	PUNCT
cana-3142	23	3	a	a	DET
cana-3142	23	4	number	number	NOUN
cana-3142	23	5	of	of	ADP
cana-3142	23	6	predictive	predictive	ADJ
cana-3142	23	7	modelling	modelling	NOUN
cana-3142	23	8	paradigms	paradigm	NOUN
cana-3142	23	9	that	that	PRON
cana-3142	23	10	may	may	AUX
cana-3142	23	11	provide	provide	VERB
cana-3142	23	12	consumers	consumer	NOUN
cana-3142	23	13	with	with	ADP
cana-3142	23	14	quantitative	quantitative	ADJ
cana-3142	23	15	predictions	prediction	NOUN
cana-3142	23	16	of	of	ADP
cana-3142	23	17	how	how	SCONJ
cana-3142	23	18	machining	machining	NOUN
cana-3142	23	19	parameters	parameter	NOUN
cana-3142	23	20	will	will	AUX
cana-3142	23	21	affect	affect	VERB
cana-3142	23	22	output	output	NOUN
cana-3142	23	23	parameters	parameter	NOUN
cana-3142	23	24	should	should	AUX
cana-3142	23	25	be	be	AUX
cana-3142	23	26	developed	develop	VERB
cana-3142	23	27	and	and	CCONJ
cana-3142	23	28	put	put	VERB
cana-3142	23	29	into	into	ADP
cana-3142	23	30	use	use	NOUN
cana-3142	23	31	to	to	PART
cana-3142	23	32	improve	improve	VERB
cana-3142	23	33	this	this	DET
cana-3142	23	34	knowledge	knowledge	NOUN
cana-3142	23	35	.	.	PUNCT
cana-3142	24	1	hence	hence	ADV
cana-3142	24	2	,	,	PUNCT
cana-3142	24	3	there	there	PRON
cana-3142	24	4	has	have	AUX
cana-3142	24	5	been	be	AUX
cana-3142	24	6	a	a	DET
cana-3142	24	7	lot	lot	NOUN
cana-3142	24	8	of	of	ADP
cana-3142	24	9	interest	interest	NOUN
cana-3142	24	10	in	in	ADP
cana-3142	24	11	modelling	modelling	NOUN
cana-3142	24	12	and	and	CCONJ
cana-3142	24	13	forecasting	forecast	VERB
cana-3142	24	14	the	the	DET
cana-3142	24	15	turning	turn	VERB
cana-3142	24	16	process	process	NOUN
cana-3142	24	17	's	's	PART
cana-3142	24	18	cutting	cut	VERB
cana-3142	24	19	force	force	NOUN
cana-3142	24	20	,	,	PUNCT
cana-3142	24	21	which	which	PRON
cana-3142	24	22	is	be	AUX
cana-3142	24	23	crucial	crucial	ADJ
cana-3142	24	24	for	for	ADP
cana-3142	24	25	evaluating	evaluate	VERB
cana-3142	24	26	the	the	DET
cana-3142	24	27	cutting	cut	VERB
cana-3142	24	28	machine	machine	NOUN
cana-3142	24	29	's	's	PART
cana-3142	24	30	power	power	NOUN
cana-3142	24	31	requirements	requirement	NOUN
cana-3142	24	32	,	,	PUNCT
cana-3142	24	33	as	as	ADV
cana-3142	24	34	well	well	ADV
cana-3142	24	35	as	as	ADP
cana-3142	24	36	the	the	DET
cana-3142	24	37	machined	machine	VERB
cana-3142	24	38	part	part	NOUN
cana-3142	24	39	's	's	PART
cana-3142	24	40	surface	surface	NOUN
cana-3142	24	41	roughness	roughness	NOUN
cana-3142	24	42	.	.	PUNCT
cana-3142	25	1	so	so	ADV
cana-3142	25	2	far	far	ADV
cana-3142	25	3	,	,	PUNCT
cana-3142	25	4	many	many	ADJ
cana-3142	25	5	methods	method	NOUN
cana-3142	25	6	of	of	ADP
cana-3142	25	7	predictive	predictive	ADJ
cana-3142	25	8	modelling	modelling	NOUN
cana-3142	25	9	have	have	AUX
cana-3142	25	10	been	be	AUX
cana-3142	25	11	used	use	VERB
cana-3142	25	12	,	,	PUNCT
cana-3142	25	13	and	and	CCONJ
cana-3142	25	14	these	these	DET
cana-3142	25	15	methods	method	NOUN
cana-3142	25	16	may	may	AUX
cana-3142	25	17	be	be	AUX
cana-3142	25	18	either	either	CCONJ
cana-3142	25	19	data	data	NOUN
cana-3142	25	20	-	-	PUNCT
cana-3142	25	21	based	base	VERB
cana-3142	25	22	or	or	CCONJ
cana-3142	25	23	physical	physical	ADV
cana-3142	25	24	-	-	PUNCT
cana-3142	25	25	driven	drive	VERB
cana-3142	25	26	.	.	PUNCT
cana-3142	26	1	to	to	PART
cana-3142	26	2	identify	identify	VERB
cana-3142	26	3	the	the	DET
cana-3142	26	4	connections	connection	NOUN
cana-3142	26	5	between	between	ADP
cana-3142	26	6	the	the	DET
cana-3142	26	7	different	different	ADJ
cana-3142	26	8	cutting	cut	VERB
cana-3142	26	9	input	input	NOUN
cana-3142	26	10	parameters	parameter	NOUN
cana-3142	26	11	and	and	CCONJ
cana-3142	26	12	the	the	DET
cana-3142	26	13	process	process	NOUN
cana-3142	26	14	responses	response	NOUN
cana-3142	26	15	,	,	PUNCT
cana-3142	26	16	we	we	PRON
cana-3142	26	17	have	have	AUX
cana-3142	26	18	tried	try	VERB
cana-3142	26	19	to	to	PART
cana-3142	26	20	comprehend	comprehend	VERB
cana-3142	26	21	the	the	DET
cana-3142	26	22	process	process	NOUN
cana-3142	26	23	behaviour	behaviour	NOUN
cana-3142	26	24	using	use	VERB
cana-3142	26	25	physical	physical	NOUN
cana-3142	26	26	-	-	PUNCT
cana-3142	26	27	based	base	VERB
cana-3142	26	28	models	model	NOUN
cana-3142	26	29	and	and	CCONJ
cana-3142	26	30	construct	construct	VERB
cana-3142	26	31	the	the	DET
cana-3142	26	32	related	relate	VERB
cana-3142	26	33	mathematical	mathematical	ADJ
cana-3142	26	34	equations	equation	NOUN
cana-3142	26	35	.	.	PUNCT
cana-3142	27	1	since	since	SCONJ
cana-3142	27	2	the	the	DET
cana-3142	27	3	turning	turning	NOUN
cana-3142	27	4	process	process	NOUN
cana-3142	27	5	can	can	AUX
cana-3142	27	6	not	not	PART
cana-3142	27	7	be	be	AUX
cana-3142	27	8	described	describe	VERB
cana-3142	27	9	by	by	ADP
cana-3142	27	10	any	any	DET
cana-3142	27	11	physical	physical	ADJ
cana-3142	27	12	equations	equation	NOUN
cana-3142	27	13	,	,	PUNCT
cana-3142	27	14	several	several	ADJ
cana-3142	27	15	academic	academic	ADJ
cana-3142	27	16	and	and	CCONJ
cana-3142	27	17	industrial	industrial	ADJ
cana-3142	27	18	domains	domain	NOUN
cana-3142	27	19	have	have	AUX
cana-3142	27	20	begun	begin	VERB
cana-3142	27	21	to	to	PART
cana-3142	27	22	articulate	articulate	VERB
cana-3142	27	23	input	input	NOUN
cana-3142	27	24	/	/	SYM
cana-3142	27	25	output	output	NOUN
cana-3142	27	26	interactions	interaction	NOUN
cana-3142	27	27	using	use	VERB
cana-3142	27	28	data	data	NOUN
cana-3142	27	29	-	-	PUNCT
cana-3142	27	30	driven	drive	VERB
cana-3142	27	31	paradigms	paradigm	NOUN
cana-3142	27	32	.	.	PUNCT
cana-3142	28	1	this	this	PRON
cana-3142	28	2	contrasts	contrast	VERB
cana-3142	28	3	sharply	sharply	ADV
cana-3142	28	4	with	with	ADP
cana-3142	28	5	the	the	DET
cana-3142	28	6	massive	massive	ADJ
cana-3142	28	7	advances	advance	NOUN
cana-3142	28	8	in	in	ADP
cana-3142	28	9	computer	computer	NOUN
cana-3142	28	10	power	power	NOUN
cana-3142	28	11	over	over	ADP
cana-3142	28	12	the	the	DET
cana-3142	28	13	last	last	ADJ
cana-3142	28	14	few	few	ADJ
cana-3142	28	15	decades	decade	NOUN
cana-3142	28	16	.	.	PUNCT
cana-3142	29	1	multiple	multiple	ADJ
cana-3142	29	2	linear	linear	PROPN
cana-3142	29	3	regression	regression	NOUN
cana-3142	29	4	techniques	technique	NOUN
cana-3142	29	5	may	may	AUX
cana-3142	29	6	be	be	AUX
cana-3142	29	7	used	use	VERB
cana-3142	29	8	to	to	PART
cana-3142	29	9	characterize	characterize	VERB
cana-3142	29	10	and	and	CCONJ
cana-3142	29	11	forecast	forecast	VERB
cana-3142	29	12	a	a	DET
cana-3142	29	13	machined	machine	VERB
cana-3142	29	14	workpiece	workpiece	NOUN
cana-3142	29	15	's	's	PART
cana-3142	29	16	properties	property	NOUN
cana-3142	29	17	as	as	ADV
cana-3142	29	18	well	well	ADV
cana-3142	29	19	as	as	ADP
cana-3142	29	20	several	several	ADJ
cana-3142	29	21	process	process	NOUN
cana-3142	29	22	parameters	parameter	NOUN
cana-3142	29	23	.	.	PUNCT
cana-3142	30	1	to	to	PART
cana-3142	30	2	illustrate	illustrate	VERB
cana-3142	30	3	the	the	DET
cana-3142	30	4	point	point	NOUN
cana-3142	30	5	,	,	PUNCT
cana-3142	30	6	consider	consider	VERB
cana-3142	30	7	a	a	DET
cana-3142	30	8	regression	regression	NOUN
cana-3142	30	9	model	model	NOUN
cana-3142	30	10	where	where	SCONJ
cana-3142	30	11	the	the	DET
cana-3142	30	12	feeding	feeding	NOUN
cana-3142	30	13	rate	rate	NOUN
cana-3142	30	14	,	,	PUNCT
cana-3142	30	15	speed	speed	NOUN
cana-3142	30	16	of	of	ADP
cana-3142	30	17	cutting	cutting	NOUN
cana-3142	30	18	,	,	PUNCT
cana-3142	30	19	and	and	CCONJ
cana-3142	30	20	the	the	DET
cana-3142	30	21	level	level	NOUN
cana-3142	30	22	of	of	ADP
cana-3142	30	23	cutting	cutting	NOUN
cana-3142	30	24	are	be	AUX
cana-3142	30	25	the	the	DET
cana-3142	30	26	independent	independent	ADJ
cana-3142	30	27	variables	variable	NOUN
cana-3142	30	28	and	and	CCONJ
cana-3142	30	29	cutting	cut	VERB
cana-3142	30	30	force	force	NOUN
cana-3142	30	31	is	be	AUX
cana-3142	30	32	the	the	DET
cana-3142	30	33	dependent	dependent	ADJ
cana-3142	30	34	output	output	NOUN
cana-3142	30	35	.	.	PUNCT
cana-3142	31	1	these	these	DET
cana-3142	31	2	methods	method	NOUN
cana-3142	31	3	overlook	overlook	VERB
cana-3142	31	4	the	the	DET
cana-3142	31	5	complex	complex	ADJ
cana-3142	31	6	interplay	interplay	NOUN
cana-3142	31	7	between	between	ADP
cana-3142	31	8	process	process	NOUN
cana-3142	31	9	parameters	parameter	NOUN
cana-3142	31	10	and	and	CCONJ
cana-3142	31	11	fail	fail	VERB
cana-3142	31	12	to	to	PART
cana-3142	31	13	take	take	VERB
cana-3142	31	14	into	into	ADP
cana-3142	31	15	consideration	consideration	NOUN
cana-3142	31	16	nonlinear	nonlinear	ADJ
cana-3142	31	17	connections	connection	NOUN
cana-3142	31	18	between	between	ADP
cana-3142	31	19	inputs	input	NOUN
cana-3142	31	20	and	and	CCONJ
cana-3142	31	21	outcomes	outcome	NOUN
cana-3142	31	22	.	.	PUNCT
cana-3142	32	1	consequently	consequently	ADV
cana-3142	32	2	,	,	PUNCT
cana-3142	32	3	a	a	DET
cana-3142	32	4	wide	wide	ADJ
cana-3142	32	5	range	range	NOUN
cana-3142	32	6	of	of	ADP
cana-3142	32	7	machining	machining	NOUN
cana-3142	32	8	processes	process	NOUN
cana-3142	32	9	have	have	AUX
cana-3142	32	10	been	be	AUX
cana-3142	32	11	modelled	model	VERB
cana-3142	32	12	using	use	VERB
cana-3142	32	13	artificial	artificial	ADJ
cana-3142	32	14	neural	neural	ADJ
cana-3142	32	15	networks	network	NOUN
cana-3142	32	16	(	(	PUNCT
cana-3142	32	17	anns	anns	PROPN
cana-3142	32	18	)	)	PUNCT
cana-3142	32	19	.	.	PUNCT
cana-3142	33	1	for	for	ADP
cana-3142	33	2	instance	instance	NOUN
cana-3142	33	3	,	,	PUNCT
cana-3142	33	4	anns	anns	PROPN
cana-3142	33	5	were	be	AUX
cana-3142	33	6	used	use	VERB
cana-3142	33	7	to	to	PART
cana-3142	33	8	manage	manage	VERB
cana-3142	33	9	surface	surface	NOUN
cana-3142	33	10	roughness	roughness	NOUN
cana-3142	33	11	properties	property	NOUN
cana-3142	33	12	and	and	CCONJ
cana-3142	33	13	predict	predict	VERB
cana-3142	33	14	the	the	DET
cana-3142	33	15	performance	performance	NOUN
cana-3142	33	16	of	of	ADP
cana-3142	33	17	various	various	ADJ
cana-3142	33	18	metal	metal	NOUN
cana-3142	33	19	-	-	PUNCT
cana-3142	33	20	cutting	cut	VERB
cana-3142	33	21	techniques	technique	NOUN
cana-3142	33	22	.	.	PUNCT
cana-3142	34	1	the	the	DET
cana-3142	34	2	primary	primary	ADJ
cana-3142	34	3	objective	objective	NOUN
cana-3142	34	4	of	of	ADP
cana-3142	34	5	this	this	DET
cana-3142	34	6	research	research	NOUN
cana-3142	34	7	article	article	NOUN
cana-3142	34	8	is	be	AUX
cana-3142	34	9	to	to	PART
cana-3142	34	10	provide	provide	VERB
cana-3142	34	11	a	a	DET
cana-3142	34	12	predictive	predictive	ADJ
cana-3142	34	13	modelling	modelling	NOUN
cana-3142	34	14	framework	framework	NOUN
cana-3142	34	15	for	for	ADP
cana-3142	34	16	the	the	DET
cana-3142	34	17	turning	turning	NOUN
cana-3142	34	18	process	process	NOUN
cana-3142	34	19	that	that	PRON
cana-3142	34	20	is	be	AUX
cana-3142	34	21	both	both	CCONJ
cana-3142	34	22	more	more	ADV
cana-3142	34	23	accurate	accurate	ADJ
cana-3142	34	24	and	and	CCONJ
cana-3142	34	25	easier	easy	ADJ
cana-3142	34	26	to	to	PART
cana-3142	34	27	understand	understand	VERB
cana-3142	34	28	.	.	PUNCT
cana-3142	35	1	for	for	ADP
cana-3142	35	2	this	this	DET
cana-3142	35	3	purpose	purpose	NOUN
cana-3142	35	4	,	,	PUNCT
cana-3142	35	5	a	a	DET
cana-3142	35	6	balanced	balanced	ADJ
cana-3142	35	7	fuzzy	fuzzy	ADJ
cana-3142	35	8	logic	logic	NOUN
cana-3142	35	9	model	model	NOUN
cana-3142	35	10	that	that	PRON
cana-3142	35	11	combines	combine	VERB
cana-3142	35	12	the	the	DET
cana-3142	35	13	concepts	concept	NOUN
cana-3142	35	14	of	of	ADP
cana-3142	35	15	stochastic	stochastic	ADJ
cana-3142	35	16	and	and	CCONJ
cana-3142	35	17	deterministic	deterministic	ADJ
cana-3142	35	18	modelling	modelling	NOUN
cana-3142	35	19	is	be	AUX
cana-3142	35	20	introduced	introduce	VERB
cana-3142	35	21	.	.	PUNCT
cana-3142	36	1	first	first	ADV
cana-3142	36	2	,	,	PUNCT
cana-3142	36	3	model	model	VERB
cana-3142	36	4	the	the	DET
cana-3142	36	5	turning	turn	VERB
cana-3142	36	6	process	process	NOUN
cana-3142	36	7	using	use	VERB
cana-3142	36	8	an	an	DET
cana-3142	36	9	interval	interval	NOUN
cana-3142	36	10	type-2	type-2	PRON
cana-3142	36	11	fuzzy	fuzzy	ADJ
cana-3142	36	12	logical	logical	ADJ
cana-3142	36	13	method	method	NOUN
cana-3142	36	14	(	(	PUNCT
cana-3142	36	15	it2fls	it2fls	PROPN
cana-3142	36	16	)	)	PUNCT
cana-3142	36	17	;	;	PUNCT
cana-3142	36	18	(	(	PUNCT
cana-3142	36	19	ii	ii	NOUN
cana-3142	36	20	)	)	PUNCT
cana-3142	36	21	use	use	VERB
cana-3142	36	22	the	the	DET
cana-3142	36	23	arithmetic	arithmetic	ADJ
cana-3142	36	24	mean	mean	NOUN
cana-3142	36	25	value	value	NOUN
cana-3142	36	26	(	(	PUNCT
cana-3142	36	27	ra	ra	NOUN
cana-3142	36	28	)	)	PUNCT
cana-3142	36	29	for	for	ADP
cana-3142	36	30	predicting	predict	VERB
cana-3142	36	31	cutting	cut	VERB
cana-3142	36	32	force	force	NOUN
cana-3142	36	33	and	and	CCONJ
cana-3142	36	34	surface	surface	NOUN
cana-3142	36	35	roughness	roughness	NOUN
cana-3142	36	36	;	;	PUNCT
cana-3142	36	37	(	(	PUNCT
cana-3142	36	38	iii	iii	X
cana-3142	36	39	)	)	PUNCT
cana-3142	36	40	provide	provide	VERB
cana-3142	36	41	a	a	DET
cana-3142	36	42	straightforward	straightforward	ADJ
cana-3142	36	43	explanation	explanation	NOUN
cana-3142	36	44	of	of	ADP
cana-3142	36	45	the	the	DET
cana-3142	36	46	process	process	NOUN
cana-3142	36	47	;	;	PUNCT
cana-3142	36	48	and	and	CCONJ
cana-3142	36	49	(	(	PUNCT
cana-3142	36	50	iv	iv	X
cana-3142	36	51	)	)	PUNCT
cana-3142	36	52	take	take	VERB
cana-3142	36	53	into	into	ADP
cana-3142	36	54	consideration	consideration	NOUN
cana-3142	36	55	the	the	DET
cana-3142	36	56	uncertainties	uncertainty	NOUN
cana-3142	36	57	that	that	PRON
cana-3142	36	58	are	be	AUX
cana-3142	36	59	frequently	frequently	ADV
cana-3142	36	60	linked	link	VERB
cana-3142	36	61	with	with	ADP
cana-3142	36	62	the	the	DET
cana-3142	36	63	turning	turn	VERB
cana-3142	36	64	process	process	NOUN
cana-3142	36	65	.	.	PUNCT
cana-3142	37	1	it	it	PRON
cana-3142	37	2	is	be	AUX
cana-3142	37	3	important	important	ADJ
cana-3142	37	4	to	to	PART
cana-3142	37	5	note	note	VERB
cana-3142	37	6	that	that	SCONJ
cana-3142	37	7	the	the	DET
cana-3142	37	8	cutting	cut	VERB
cana-3142	37	9	force	force	NOUN
cana-3142	37	10	is	be	AUX
cana-3142	37	11	a	a	DET
cana-3142	37	12	major	major	ADJ
cana-3142	37	13	factor	factor	NOUN
cana-3142	37	14	in	in	ADP
cana-3142	37	15	deciding	decide	VERB
cana-3142	37	16	the	the	DET
cana-3142	37	17	fate	fate	NOUN
cana-3142	37	18	of	of	ADP
cana-3142	37	19	some	some	DET
cana-3142	37	20	turning	turn	VERB
cana-3142	37	21	outputs	output	NOUN
cana-3142	37	22	in	in	ADP
cana-3142	37	23	terms	term	NOUN
cana-3142	37	24	of	of	ADP
cana-3142	37	25	both	both	CCONJ
cana-3142	37	26	quality	quality	NOUN
cana-3142	37	27	and	and	CCONJ
cana-3142	37	28	productivity	productivity	NOUN
cana-3142	37	29	.	.	PUNCT
cana-3142	38	1	after	after	ADP
cana-3142	38	2	that	that	PRON
cana-3142	38	3	,	,	PUNCT
cana-3142	38	4	any	any	DET
cana-3142	38	5	unmodeled	unmodeled	ADJ
cana-3142	38	6	behaviour	behaviour	NOUN
cana-3142	38	7	,	,	PUNCT
cana-3142	38	8	whether	whether	SCONJ
cana-3142	38	9	stochastic	stochastic	ADJ
cana-3142	38	10	or	or	CCONJ
cana-3142	38	11	not	not	PART
cana-3142	38	12	,	,	PUNCT
cana-3142	38	13	is	be	AUX
cana-3142	38	14	taken	take	VERB
cana-3142	38	15	into	into	ADP
cana-3142	38	16	account	account	NOUN
cana-3142	38	17	by	by	ADP
cana-3142	38	18	characterizing	characterize	VERB
cana-3142	38	19	the	the	DET
cana-3142	38	20	resultant	resultant	NOUN
cana-3142	38	21	error	error	NOUN
cana-3142	38	22	residuals	residual	NOUN
cana-3142	38	23	utilizing	utilize	VERB
cana-3142	38	24	the	the	DET
cana-3142	38	25	gaussian	gaussian	ADJ
cana-3142	38	26	combination	combination	NOUN
cana-3142	38	27	model	model	NOUN
cana-3142	38	28	(	(	PUNCT
cana-3142	38	29	gmm	gmm	PROPN
cana-3142	38	30	)	)	PUNCT
cana-3142	38	31	,	,	PUNCT
cana-3142	38	32	which	which	PRON
cana-3142	38	33	adjusts	adjust	VERB
cana-3142	38	34	for	for	ADP
cana-3142	38	35	such	such	ADJ
cana-3142	38	36	resultant	resultant	NOUN
cana-3142	38	37	mistakes	mistake	NOUN
cana-3142	38	38	.	.	PUNCT
cana-3142	39	1	the	the	DET
cana-3142	39	2	it2fls	it2fls	PROPN
cana-3142	39	3	's	's	PART
cana-3142	39	4	modelling	modelling	NOUN
cana-3142	39	5	performance	performance	NOUN
cana-3142	39	6	can	can	AUX
cana-3142	39	7	be	be	AUX
cana-3142	39	8	enhanced	enhance	VERB
cana-3142	39	9	by	by	ADP
cana-3142	39	10	adding	add	VERB
cana-3142	39	11	the	the	DET
cana-3142	39	12	gmm	gmm	NOUN
cana-3142	39	13	to	to	ADP
cana-3142	39	14	the	the	DET
cana-3142	39	15	framework	framework	NOUN
cana-3142	39	16	.	.	PUNCT
cana-3142	40	1	this	this	PRON
cana-3142	40	2	is	be	AUX
cana-3142	40	3	because	because	SCONJ
cana-3142	40	4	the	the	DET
cana-3142	40	5	gmm	gmm	NOUN
cana-3142	40	6	can	can	AUX
cana-3142	40	7	(	(	PUNCT
cana-3142	40	8	i	i	NOUN
cana-3142	40	9	)	)	PUNCT
cana-3142	40	10	compensate	compensate	VERB
cana-3142	40	11	for	for	ADP
cana-3142	40	12	the	the	DET
cana-3142	40	13	error	error	NOUN
cana-3142	40	14	residuals	residual	NOUN
cana-3142	40	15	'	'	PART
cana-3142	40	16	implicit	implicit	ADJ
cana-3142	40	17	normality	normality	NOUN
cana-3142	40	18	assumption	assumption	NOUN
cana-3142	40	19	and	and	CCONJ
cana-3142	40	20	(	(	PUNCT
cana-3142	40	21	ii	ii	NOUN
cana-3142	40	22	)	)	PUNCT
cana-3142	40	23	extract	extract	VERB
cana-3142	40	24	data	datum	NOUN
cana-3142	40	25	that	that	PRON
cana-3142	40	26	could	could	AUX
cana-3142	40	27	be	be	AUX
cana-3142	40	28	hidden	hide	VERB
cana-3142	40	29	in	in	ADP
cana-3142	40	30	the	the	DET
cana-3142	40	31	residuals	residual	NOUN
cana-3142	40	32	.	.	PUNCT
cana-3142	41	1	the	the	DET
cana-3142	41	2	remaining	remain	VERB
cana-3142	41	3	sections	section	NOUN
cana-3142	41	4	of	of	ADP
cana-3142	41	5	the	the	DET
cana-3142	41	6	study	study	NOUN
cana-3142	41	7	are	be	AUX
cana-3142	41	8	structured	structure	VERB
cana-3142	41	9	as	as	SCONJ
cana-3142	41	10	follows	follow	VERB
cana-3142	41	11	:	:	PUNCT
cana-3142	41	12	section	section	NOUN
cana-3142	41	13	2	2	NUM
cana-3142	41	14	provides	provide	VERB
cana-3142	41	15	a	a	DET
cana-3142	41	16	short	short	ADJ
cana-3142	41	17	overview	overview	NOUN
cana-3142	41	18	of	of	ADP
cana-3142	41	19	the	the	DET
cana-3142	41	20	experiments	experiment	NOUN
cana-3142	41	21	that	that	PRON
cana-3142	41	22	were	be	AUX
cana-3142	41	23	carried	carry	VERB
cana-3142	41	24	out	out	ADP
cana-3142	41	25	utilizing	utilize	VERB
cana-3142	41	26	a	a	DET
cana-3142	41	27	lathe	lathe	NOUN
cana-3142	41	28	machine	machine	NOUN
cana-3142	41	29	.	.	PUNCT
cana-3142	42	1	in	in	ADP
cana-3142	42	2	section	section	NOUN
cana-3142	42	3	3	3	NUM
cana-3142	42	4	,	,	PUNCT
cana-3142	42	5	they	they	PRON
cana-3142	42	6	review	review	VERB
cana-3142	42	7	the	the	DET
cana-3142	42	8	fls	fls	PROPN
cana-3142	42	9	background	background	NOUN
cana-3142	42	10	,	,	PUNCT
cana-3142	42	11	namely	namely	ADV
cana-3142	42	12	the	the	DET
cana-3142	42	13	it2fls	it2fls	PROPN
cana-3142	42	14	,	,	PUNCT
cana-3142	42	15	and	and	CCONJ
cana-3142	42	16	the	the	DET
cana-3142	42	17	findings	finding	NOUN
cana-3142	42	18	that	that	PRON
cana-3142	42	19	were	be	AUX
cana-3142	42	20	produced	produce	VERB
cana-3142	42	21	.	.	PUNCT
cana-3142	43	1	section	section	NOUN
cana-3142	43	2	4	4	NUM
cana-3142	43	3	presents	present	VERB
cana-3142	43	4	the	the	DET
cana-3142	43	5	gmm	gmm	NOUN
cana-3142	43	6	along	along	ADP
cana-3142	43	7	with	with	ADP
cana-3142	43	8	its	its	PRON
cana-3142	43	9	results	result	NOUN
cana-3142	43	10	.	.	PUNCT
cana-3142	44	1	section	section	NOUN
cana-3142	44	2	5	5	NUM
cana-3142	44	3	concludes	conclude	VERB
cana-3142	44	4	by	by	ADP
cana-3142	44	5	summarizing	summarize	VERB
cana-3142	44	6	the	the	DET
cana-3142	44	7	whole	whole	ADJ
cana-3142	44	8	study	study	NOUN
cana-3142	44	9	.	.	PUNCT
cana-3142	45	1	communications	communication	NOUN
cana-3142	45	2	on	on	ADP
cana-3142	45	3	applied	apply	VERB
cana-3142	45	4	nonlinear	nonlinear	ADJ
cana-3142	45	5	analysis	analysis	NOUN
cana-3142	45	6	issn	issn	NOUN
cana-3142	45	7	:	:	PUNCT
cana-3142	45	8	1074	1074	NUM
cana-3142	45	9	-	-	PUNCT
cana-3142	45	10	133x	133x	NUM
cana-3142	45	11	vol	vol	NOUN
cana-3142	45	12	32	32	NUM
cana-3142	45	13	no	no	NOUN
cana-3142	45	14	.	.	PUNCT
cana-3142	46	1	5s	5s	NUM
cana-3142	46	2	(	(	PUNCT
cana-3142	46	3	2025	2025	NUM
cana-3142	46	4	)	)	PUNCT
cana-3142	46	5	446	446	NUM
cana-3142	46	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	46	7	2	2	NUM
cana-3142	46	8	.	.	PUNCT
cana-3142	46	9	experimental	experimental	ADJ
cana-3142	46	10	work	work	NOUN
cana-3142	46	11	cutting	cut	VERB
cana-3142	46	12	force	force	NOUN
cana-3142	46	13	and	and	CCONJ
cana-3142	46	14	machined	machine	VERB
cana-3142	46	15	specimen	speciman	NOUN
cana-3142	46	16	quality	quality	NOUN
cana-3142	46	17	,	,	PUNCT
cana-3142	46	18	as	as	SCONJ
cana-3142	46	19	shown	show	VERB
cana-3142	46	20	by	by	ADP
cana-3142	46	21	surface	surface	NOUN
cana-3142	46	22	roughness	roughness	NOUN
cana-3142	46	23	as	as	SCONJ
cana-3142	46	24	measured	measure	VERB
cana-3142	46	25	by	by	ADP
cana-3142	46	26	the	the	DET
cana-3142	46	27	ra	ra	PROPN
cana-3142	46	28	value	value	NOUN
cana-3142	46	29	,	,	PUNCT
cana-3142	46	30	are	be	AUX
cana-3142	46	31	both	both	PRON
cana-3142	46	32	affected	affect	VERB
cana-3142	46	33	by	by	ADP
cana-3142	46	34	several	several	ADJ
cana-3142	46	35	turning	turning	NOUN
cana-3142	46	36	process	process	NOUN
cana-3142	46	37	factors	factor	NOUN
cana-3142	46	38	.	.	PUNCT
cana-3142	47	1	cutting	cut	VERB
cana-3142	47	2	speed	speed	NOUN
cana-3142	47	3	,	,	PUNCT
cana-3142	47	4	deepness	deepness	NOUN
cana-3142	47	5	of	of	ADP
cana-3142	47	6	cut	cut	NOUN
cana-3142	47	7	,	,	PUNCT
cana-3142	47	8	rate	rate	NOUN
cana-3142	47	9	for	for	ADP
cana-3142	47	10	feed	feed	NOUN
cana-3142	47	11	,	,	PUNCT
cana-3142	47	12	and	and	CCONJ
cana-3142	47	13	lubricant	lubricant	NOUN
cana-3142	47	14	usage	usage	NOUN
cana-3142	47	15	were	be	AUX
cana-3142	47	16	studied	study	VERB
cana-3142	47	17	in	in	ADP
cana-3142	47	18	this	this	DET
cana-3142	47	19	study	study	NOUN
cana-3142	47	20	as	as	SCONJ
cana-3142	47	21	they	they	PRON
cana-3142	47	22	are	be	AUX
cana-3142	47	23	important	important	ADJ
cana-3142	47	24	in	in	ADP
cana-3142	47	25	the	the	DET
cana-3142	47	26	turning	turning	NOUN
cana-3142	47	27	process	process	NOUN
cana-3142	47	28	.	.	PUNCT
cana-3142	48	1	at	at	ADP
cana-3142	48	2	this	this	DET
cana-3142	48	3	point	point	NOUN
cana-3142	48	4	,	,	PUNCT
cana-3142	48	5	it	it	PRON
cana-3142	48	6	should	should	AUX
cana-3142	48	7	be	be	AUX
cana-3142	48	8	noted	note	VERB
cana-3142	48	9	that	that	SCONJ
cana-3142	48	10	the	the	DET
cana-3142	48	11	four	four	NUM
cana-3142	48	12	variables	variable	NOUN
cana-3142	48	13	studied	study	VERB
cana-3142	48	14	in	in	ADP
cana-3142	48	15	this	this	DET
cana-3142	48	16	study	study	NOUN
cana-3142	48	17	had	have	VERB
cana-3142	48	18	their	their	PRON
cana-3142	48	19	values	value	NOUN
cana-3142	48	20	determined	determine	VERB
cana-3142	48	21	by	by	ADP
cana-3142	48	22	a	a	DET
cana-3142	48	23	series	series	NOUN
cana-3142	48	24	of	of	ADP
cana-3142	48	25	experimental	experimental	ADJ
cana-3142	48	26	tests	test	NOUN
cana-3142	48	27	using	use	VERB
cana-3142	48	28	identical	identical	ADJ
cana-3142	48	29	materials	material	NOUN
cana-3142	48	30	and	and	CCONJ
cana-3142	48	31	cutting	cutting	NOUN
cana-3142	48	32	tools	tool	NOUN
cana-3142	48	33	.	.	PUNCT
cana-3142	49	1	a	a	DET
cana-3142	49	2	total	total	NOUN
cana-3142	49	3	of	of	ADP
cana-3142	49	4	54	54	NUM
cana-3142	49	5	trials	trial	NOUN
cana-3142	49	6	were	be	AUX
cana-3142	49	7	carried	carry	VERB
cana-3142	49	8	out	out	ADP
cana-3142	49	9	utilizing	utilize	VERB
cana-3142	49	10	several	several	ADJ
cana-3142	49	11	input	input	NOUN
cana-3142	49	12	parameters	parameter	NOUN
cana-3142	49	13	,	,	PUNCT
cana-3142	49	14	using	use	VERB
cana-3142	49	15	a	a	DET
cana-3142	49	16	complete	complete	ADJ
cana-3142	49	17	factorial	factorial	NOUN
cana-3142	49	18	design	design	NOUN
cana-3142	49	19	of	of	ADP
cana-3142	49	20	experiments	experiment	NOUN
cana-3142	49	21	.	.	PUNCT
cana-3142	50	1	note	note	VERB
cana-3142	50	2	that	that	SCONJ
cana-3142	50	3	every	every	DET
cana-3142	50	4	experiment	experiment	NOUN
cana-3142	50	5	was	be	AUX
cana-3142	50	6	carried	carry	VERB
cana-3142	50	7	out	out	ADP
cana-3142	50	8	three	three	NUM
cana-3142	50	9	times	time	NOUN
cana-3142	50	10	.	.	PUNCT
cana-3142	51	1	a	a	DET
cana-3142	51	2	cylindrical	cylindrical	ADJ
cana-3142	51	3	specimen	speciman	NOUN
cana-3142	51	4	made	make	VERB
cana-3142	51	5	of	of	ADP
cana-3142	51	6	aisi	aisi	PROPN
cana-3142	51	7	d2	d2	PROPN
cana-3142	51	8	steel	steel	PROPN
cana-3142	51	9	with	with	ADP
cana-3142	51	10	dimensions	dimension	NOUN
cana-3142	51	11	of	of	ADP
cana-3142	51	12	20	20	NUM
cana-3142	51	13	mm	mm	NOUN
cana-3142	51	14	in	in	ADP
cana-3142	51	15	diameter	diameter	NOUN
cana-3142	51	16	and	and	CCONJ
cana-3142	51	17	110	110	NUM
cana-3142	51	18	mm	mm	NOUN
cana-3142	51	19	in	in	ADP
cana-3142	51	20	length	length	NOUN
cana-3142	51	21	was	be	AUX
cana-3142	51	22	machined	machine	VERB
cana-3142	51	23	using	use	VERB
cana-3142	51	24	a	a	DET
cana-3142	51	25	lathe	lathe	NOUN
cana-3142	51	26	machine	machine	NOUN
cana-3142	51	27	,	,	PUNCT
cana-3142	51	28	as	as	SCONJ
cana-3142	51	29	seen	see	VERB
cana-3142	51	30	in	in	ADP
cana-3142	51	31	figure	figure	NOUN
cana-3142	51	32	1	1	NUM
cana-3142	51	33	.	.	PUNCT
cana-3142	51	34	figure	figure	VERB
cana-3142	51	35	1	1	NUM
cana-3142	51	36	cylindrical	cylindrical	ADJ
cana-3142	51	37	specimen	speciman	NOUN
cana-3142	51	38	made	make	VERB
cana-3142	51	39	of	of	ADP
cana-3142	51	40	aisi	aisi	PROPN
cana-3142	51	41	d2	d2	PROPN
cana-3142	51	42	this	this	DET
cana-3142	51	43	paper	paper	NOUN
cana-3142	51	44	summarizes	summarize	VERB
cana-3142	51	45	the	the	DET
cana-3142	51	46	chemical	chemical	NOUN
cana-3142	51	47	composition	composition	NOUN
cana-3142	51	48	of	of	ADP
cana-3142	51	49	cylindrical	cylindrical	ADJ
cana-3142	51	50	aisi	aisi	PROPN
cana-3142	51	51	d2	d2	PROPN
cana-3142	51	52	steel	steel	PROPN
cana-3142	51	53	,	,	PUNCT
cana-3142	51	54	which	which	PRON
cana-3142	51	55	is	be	AUX
cana-3142	51	56	0.3	0.3	NUM
cana-3142	51	57	%	%	NOUN
cana-3142	51	58	silicon	silicon	NOUN
cana-3142	51	59	,	,	PUNCT
cana-3142	51	60	1.5	1.5	NUM
cana-3142	51	61	%	%	NOUN
cana-3142	51	62	carbon	carbon	NOUN
cana-3142	51	63	,	,	PUNCT
cana-3142	51	64	0.8	0.8	NUM
cana-3142	51	65	%	%	NOUN
cana-3142	51	66	molybdenum	molybdenum	NOUN
cana-3142	51	67	,	,	PUNCT
cana-3142	51	68	12	12	NUM
cana-3142	51	69	%	%	NOUN
cana-3142	51	70	chromium	chromium	NOUN
cana-3142	51	71	and	and	CCONJ
cana-3142	51	72	0.9	0.9	NUM
cana-3142	51	73	%	%	NOUN
cana-3142	51	74	vanadium	vanadium	NOUN
cana-3142	51	75	.	.	PUNCT
cana-3142	52	1	the	the	DET
cana-3142	52	2	feed	feed	NOUN
cana-3142	52	3	direction	direction	NOUN
cana-3142	52	4	was	be	AUX
cana-3142	52	5	perpendicular	perpendicular	ADJ
cana-3142	52	6	to	to	ADP
cana-3142	52	7	the	the	DET
cana-3142	52	8	cylindrical	cylindrical	ADJ
cana-3142	52	9	specimen	speciman	NOUN
cana-3142	52	10	's	's	PART
cana-3142	52	11	longitudinal	longitudinal	ADJ
cana-3142	52	12	axis	axis	NOUN
cana-3142	52	13	when	when	SCONJ
cana-3142	52	14	it	it	PRON
cana-3142	52	15	was	be	AUX
cana-3142	52	16	put	put	VERB
cana-3142	52	17	.	.	PUNCT
cana-3142	53	1	in	in	ADP
cana-3142	53	2	each	each	DET
cana-3142	53	3	experiment	experiment	NOUN
cana-3142	53	4	,	,	PUNCT
cana-3142	53	5	a	a	DET
cana-3142	53	6	carbide	carbide	NOUN
cana-3142	53	7	-	-	PUNCT
cana-3142	53	8	tipped	tip	VERB
cana-3142	53	9	insert	insert	NOUN
cana-3142	53	10	coated	coat	VERB
cana-3142	53	11	with	with	ADP
cana-3142	53	12	titanium	titanium	NOUN
cana-3142	53	13	nanoparticles	nanoparticle	NOUN
cana-3142	53	14	served	serve	VERB
cana-3142	53	15	as	as	ADP
cana-3142	53	16	the	the	DET
cana-3142	53	17	cutting	cut	VERB
cana-3142	53	18	tool	tool	NOUN
cana-3142	53	19	.	.	PUNCT
cana-3142	54	1	at	at	ADP
cana-3142	54	2	the	the	DET
cana-3142	54	3	end	end	NOUN
cana-3142	54	4	of	of	ADP
cana-3142	54	5	the	the	DET
cana-3142	54	6	cutting	cut	VERB
cana-3142	54	7	operation	operation	NOUN
cana-3142	54	8	,	,	PUNCT
cana-3142	54	9	we	we	PRON
cana-3142	54	10	measured	measure	VERB
cana-3142	54	11	the	the	DET
cana-3142	54	12	cutting	cut	VERB
cana-3142	54	13	force	force	NOUN
cana-3142	54	14	and	and	CCONJ
cana-3142	54	15	ra	ra	PROPN
cana-3142	54	16	,	,	PUNCT
cana-3142	54	17	which	which	PRON
cana-3142	54	18	stands	stand	VERB
cana-3142	54	19	for	for	ADP
cana-3142	54	20	surface	surface	NOUN
cana-3142	54	21	roughness	roughness	NOUN
cana-3142	54	22	.	.	PUNCT
cana-3142	55	1	the	the	DET
cana-3142	55	2	suggested	suggest	VERB
cana-3142	55	3	model	model	NOUN
cana-3142	55	4	was	be	AUX
cana-3142	55	5	developed	develop	VERB
cana-3142	55	6	using	use	VERB
cana-3142	55	7	the	the	DET
cana-3142	55	8	observed	observed	ADJ
cana-3142	55	9	cutting	cutting	NOUN
cana-3142	55	10	force	force	NOUN
cana-3142	55	11	and	and	CCONJ
cana-3142	55	12	surface	surface	NOUN
cana-3142	55	13	roughness	roughness	NOUN
cana-3142	55	14	as	as	ADP
cana-3142	55	15	goal	goal	NOUN
cana-3142	55	16	outputs	output	NOUN
cana-3142	55	17	.	.	PUNCT
cana-3142	56	1	research	research	NOUN
cana-3142	56	2	in	in	ADP
cana-3142	56	3	this	this	DET
cana-3142	56	4	area	area	NOUN
cana-3142	56	5	focused	focus	VERB
cana-3142	56	6	on	on	ADP
cana-3142	56	7	cutting	cut	VERB
cana-3142	56	8	force	force	NOUN
cana-3142	56	9	since	since	SCONJ
cana-3142	56	10	it	it	PRON
cana-3142	56	11	is	be	AUX
cana-3142	56	12	thought	think	VERB
cana-3142	56	13	to	to	PART
cana-3142	56	14	be	be	AUX
cana-3142	56	15	a	a	DET
cana-3142	56	16	useful	useful	ADJ
cana-3142	56	17	output	output	NOUN
cana-3142	56	18	for	for	ADP
cana-3142	56	19	characterizing	characterize	VERB
cana-3142	56	20	turning	turning	NOUN
cana-3142	56	21	processes	process	NOUN
cana-3142	56	22	in	in	ADP
cana-3142	56	23	terms	term	NOUN
cana-3142	56	24	of	of	ADP
cana-3142	56	25	tool	tool	NOUN
cana-3142	56	26	wear	wear	VERB
cana-3142	56	27	then	then	ADV
cana-3142	56	28	,	,	PUNCT
cana-3142	56	29	more	more	ADV
cana-3142	56	30	crucially	crucially	ADV
cana-3142	56	31	,	,	PUNCT
cana-3142	56	32	superficial	superficial	ADJ
cana-3142	56	33	texture	texture	NOUN
cana-3142	56	34	.	.	PUNCT
cana-3142	57	1	two	two	NUM
cana-3142	57	2	dial	dial	NOUN
cana-3142	57	3	gauges	gauge	NOUN
cana-3142	57	4	,	,	PUNCT
cana-3142	57	5	one	one	NUM
cana-3142	57	6	measuring	measure	VERB
cana-3142	57	7	cutting	cut	VERB
cana-3142	57	8	force	force	NOUN
cana-3142	57	9	and	and	CCONJ
cana-3142	57	10	the	the	DET
cana-3142	57	11	other	other	ADJ
cana-3142	57	12	the	the	DET
cana-3142	57	13	ra	ra	PROPN
cana-3142	57	14	value	value	NOUN
cana-3142	57	15	,	,	PUNCT
cana-3142	57	16	were	be	AUX
cana-3142	57	17	used	use	VERB
cana-3142	57	18	in	in	ADP
cana-3142	57	19	this	this	DET
cana-3142	57	20	experiment	experiment	NOUN
cana-3142	57	21	.	.	PUNCT
cana-3142	58	1	the	the	DET
cana-3142	58	2	profilometer	profilometer	NOUN
cana-3142	58	3	was	be	AUX
cana-3142	58	4	a	a	DET
cana-3142	58	5	portable	portable	ADJ
cana-3142	58	6	stylus	stylus	ADJ
cana-3142	58	7	-	-	PUNCT
cana-3142	58	8	type	type	NOUN
cana-3142	58	9	model	model	NOUN
cana-3142	58	10	with	with	ADP
cana-3142	58	11	an	an	DET
cana-3142	58	12	lcd	lcd	NOUN
cana-3142	58	13	.	.	PUNCT
cana-3142	59	1	notably	notably	ADV
cana-3142	59	2	,	,	PUNCT
cana-3142	59	3	as	as	SCONJ
cana-3142	59	4	previously	previously	ADV
cana-3142	59	5	mentioned	mention	VERB
cana-3142	59	6	,	,	PUNCT
cana-3142	59	7	the	the	DET
cana-3142	59	8	cutting	cut	VERB
cana-3142	59	9	force	force	NOUN
cana-3142	59	10	was	be	AUX
cana-3142	59	11	directly	directly	ADV
cana-3142	59	12	proportional	proportional	ADJ
cana-3142	59	13	to	to	ADP
cana-3142	59	14	the	the	DET
cana-3142	59	15	deflection	deflection	NOUN
cana-3142	59	16	of	of	ADP
cana-3142	59	17	the	the	DET
cana-3142	59	18	tool	tool	NOUN
cana-3142	59	19	and	and	CCONJ
cana-3142	59	20	tool	tool	NOUN
cana-3142	59	21	holder	holder	NOUN
cana-3142	59	22	,	,	PUNCT
cana-3142	59	23	which	which	PRON
cana-3142	59	24	was	be	AUX
cana-3142	59	25	measured	measure	VERB
cana-3142	59	26	using	use	VERB
cana-3142	59	27	two	two	NUM
cana-3142	59	28	dial	dial	NOUN
cana-3142	59	29	gauges	gauge	NOUN
cana-3142	59	30	.	.	PUNCT
cana-3142	60	1	this	this	DET
cana-3142	60	2	study	study	NOUN
cana-3142	60	3	averaged	average	VERB
cana-3142	60	4	the	the	DET
cana-3142	60	5	force	force	NOUN
cana-3142	60	6	of	of	ADP
cana-3142	60	7	cutting	cutting	NOUN
cana-3142	60	8	and	and	CCONJ
cana-3142	60	9	surface	surface	NOUN
cana-3142	60	10	roughness	roughness	NOUN
cana-3142	60	11	readings	reading	NOUN
cana-3142	60	12	from	from	ADP
cana-3142	60	13	each	each	PRON
cana-3142	60	14	of	of	ADP
cana-3142	60	15	the	the	DET
cana-3142	60	16	three	three	NUM
cana-3142	60	17	independent	independent	ADJ
cana-3142	60	18	experiments	experiment	NOUN
cana-3142	60	19	.	.	PUNCT
cana-3142	61	1	cutting	cut	VERB
cana-3142	61	2	force	force	NOUN
cana-3142	61	3	variability	variability	NOUN
cana-3142	61	4	ranged	range	VERB
cana-3142	61	5	from	from	ADP
cana-3142	61	6	1.8	1.8	NUM
cana-3142	61	7	to	to	PART
cana-3142	61	8	4.6	4.6	NUM
cana-3142	61	9	and	and	CCONJ
cana-3142	61	10	surface	surface	NOUN
cana-3142	61	11	roughness	roughness	NOUN
cana-3142	61	12	variability	variability	NOUN
cana-3142	61	13	from	from	ADP
cana-3142	61	14	0.7	0.7	NUM
cana-3142	61	15	to	to	PART
cana-3142	61	16	5.7	5.7	NUM
cana-3142	61	17	,	,	PUNCT
cana-3142	61	18	respectively	respectively	ADV
cana-3142	61	19	.	.	PUNCT
cana-3142	62	1	a	a	DET
cana-3142	62	2	statistical	statistical	ADJ
cana-3142	62	3	linear	linear	NOUN
cana-3142	62	4	correlation	correlation	NOUN
cana-3142	62	5	study	study	NOUN
cana-3142	62	6	was	be	AUX
cana-3142	62	7	carried	carry	VERB
cana-3142	62	8	out	out	ADP
cana-3142	62	9	between	between	ADP
cana-3142	62	10	the	the	DET
cana-3142	62	11	process	process	NOUN
cana-3142	62	12	variables	variable	VERB
cana-3142	62	13	under	under	ADP
cana-3142	62	14	examination	examination	NOUN
cana-3142	62	15	and	and	CCONJ
cana-3142	62	16	the	the	DET
cana-3142	62	17	observed	observe	VERB
cana-3142	62	18	cutting	cutting	NOUN
cana-3142	62	19	force	force	NOUN
cana-3142	62	20	and	and	CCONJ
cana-3142	62	21	surface	surface	NOUN
cana-3142	62	22	roughness	roughness	NOUN
cana-3142	62	23	to	to	PART
cana-3142	62	24	assess	assess	VERB
cana-3142	62	25	the	the	DET
cana-3142	62	26	robustness	robustness	NOUN
cana-3142	62	27	of	of	ADP
cana-3142	62	28	the	the	DET
cana-3142	62	29	linear	linear	ADJ
cana-3142	62	30	correlations	correlation	NOUN
cana-3142	62	31	between	between	ADP
cana-3142	62	32	the	the	DET
cana-3142	62	33	researched	research	VERB
cana-3142	62	34	quantitative	quantitative	ADJ
cana-3142	62	35	inputs	input	NOUN
cana-3142	62	36	and	and	CCONJ
cana-3142	62	37	outputs	output	NOUN
cana-3142	62	38	.	.	PUNCT
cana-3142	63	1	reasonable	reasonable	ADJ
cana-3142	63	2	values	value	NOUN
cana-3142	63	3	for	for	ADP
cana-3142	63	4	the	the	DET
cana-3142	63	5	correlation	correlation	NOUN
cana-3142	63	6	coefficients	coefficient	NOUN
cana-3142	63	7	among	among	ADP
cana-3142	63	8	the	the	DET
cana-3142	63	9	majority	majority	NOUN
cana-3142	63	10	of	of	ADP
cana-3142	63	11	the	the	DET
cana-3142	63	12	parameters	parameter	NOUN
cana-3142	63	13	that	that	PRON
cana-3142	63	14	were	be	AUX
cana-3142	63	15	examined	examine	VERB
cana-3142	63	16	.	.	PUNCT
cana-3142	64	1	experiments	experiment	NOUN
cana-3142	64	2	performed	perform	VERB
cana-3142	64	3	with	with	ADP
cana-3142	64	4	and	and	CCONJ
cana-3142	64	5	without	without	ADP
cana-3142	64	6	lubricant	lubricant	NOUN
cana-3142	64	7	/	/	SYM
cana-3142	64	8	cutting	cut	VERB
cana-3142	64	9	fluid	fluid	NOUN
cana-3142	64	10	(	(	PUNCT
cana-3142	64	11	dry	dry	ADJ
cana-3142	64	12	process	process	NOUN
cana-3142	64	13	)	)	PUNCT
cana-3142	64	14	provide	provide	VERB
cana-3142	64	15	varied	varied	ADJ
cana-3142	64	16	correlation	correlation	NOUN
cana-3142	64	17	coefficient	coefficient	NOUN
cana-3142	64	18	values	value	NOUN
cana-3142	64	19	for	for	ADP
cana-3142	64	20	a	a	DET
cana-3142	64	21	few	few	ADJ
cana-3142	64	22	of	of	ADP
cana-3142	64	23	the	the	DET
cana-3142	64	24	evaluated	evaluated	ADJ
cana-3142	64	25	variables	variable	NOUN
cana-3142	64	26	.	.	PUNCT
cana-3142	65	1	one	one	NUM
cana-3142	65	2	example	example	NOUN
cana-3142	65	3	is	be	AUX
cana-3142	65	4	that	that	SCONJ
cana-3142	65	5	the	the	DET
cana-3142	65	6	correlation	correlation	NOUN
cana-3142	65	7	between	between	ADP
cana-3142	65	8	cutting	cut	VERB
cana-3142	65	9	speed	speed	NOUN
cana-3142	65	10	and	and	CCONJ
cana-3142	65	11	cutting	cut	VERB
cana-3142	65	12	force	force	NOUN
cana-3142	65	13	when	when	SCONJ
cana-3142	65	14	cutting	cut	VERB
cana-3142	65	15	fluid	fluid	NOUN
cana-3142	65	16	is	be	AUX
cana-3142	65	17	not	not	PART
cana-3142	65	18	utilized	utilize	VERB
cana-3142	65	19	is	be	AUX
cana-3142	65	20	much	much	ADV
cana-3142	65	21	greater	great	ADJ
cana-3142	65	22	than	than	SCONJ
cana-3142	65	23	when	when	SCONJ
cana-3142	65	24	cutting	cut	VERB
cana-3142	65	25	fluid	fluid	NOUN
cana-3142	65	26	is	be	AUX
cana-3142	65	27	used	use	VERB
cana-3142	65	28	.	.	PUNCT
cana-3142	66	1	lubricant	lubricant	NOUN
cana-3142	66	2	is	be	AUX
cana-3142	66	3	a	a	DET
cana-3142	66	4	typical	typical	ADJ
cana-3142	66	5	communications	communication	NOUN
cana-3142	66	6	on	on	ADP
cana-3142	66	7	applied	apply	VERB
cana-3142	66	8	nonlinear	nonlinear	ADJ
cana-3142	66	9	analysis	analysis	NOUN
cana-3142	66	10	issn	issn	NOUN
cana-3142	66	11	:	:	PUNCT
cana-3142	66	12	1074	1074	NUM
cana-3142	66	13	-	-	PUNCT
cana-3142	66	14	133x	133x	NUM
cana-3142	66	15	vol	vol	NOUN
cana-3142	66	16	32	32	NUM
cana-3142	66	17	no	no	NOUN
cana-3142	66	18	.	.	PUNCT
cana-3142	67	1	5s	5s	NUM
cana-3142	67	2	(	(	PUNCT
cana-3142	67	3	2025	2025	NUM
cana-3142	67	4	)	)	PUNCT
cana-3142	67	5	447	447	NUM
cana-3142	67	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	67	7	input	input	NOUN
cana-3142	67	8	parameter	parameter	NOUN
cana-3142	67	9	that	that	PRON
cana-3142	67	10	significantly	significantly	ADV
cana-3142	67	11	affects	affect	VERB
cana-3142	67	12	surface	surface	NOUN
cana-3142	67	13	roughness	roughness	NOUN
cana-3142	67	14	(	(	PUNCT
cana-3142	67	15	ra	ra	PROPN
cana-3142	67	16	values	value	NOUN
cana-3142	67	17	)	)	PUNCT
cana-3142	67	18	and	and	CCONJ
cana-3142	67	19	cutting	cut	VERB
cana-3142	67	20	force	force	NOUN
cana-3142	67	21	,	,	PUNCT
cana-3142	67	22	as	as	SCONJ
cana-3142	67	23	shown	show	VERB
cana-3142	67	24	by	by	ADP
cana-3142	67	25	the	the	DET
cana-3142	67	26	results	result	NOUN
cana-3142	67	27	of	of	ADP
cana-3142	67	28	the	the	DET
cana-3142	67	29	analysis	analysis	NOUN
cana-3142	67	30	of	of	ADP
cana-3142	67	31	the	the	DET
cana-3142	67	32	variation	variation	NOUN
cana-3142	67	33	test	test	NOUN
cana-3142	67	34	,	,	PUNCT
cana-3142	67	35	a	a	DET
cana-3142	67	36	statistical	statistical	ADJ
cana-3142	67	37	tool	tool	NOUN
cana-3142	67	38	for	for	ADP
cana-3142	67	39	examining	examine	VERB
cana-3142	67	40	such	such	ADJ
cana-3142	67	41	relationships	relationship	NOUN
cana-3142	67	42	.	.	PUNCT
cana-3142	68	1	3	3	X
cana-3142	68	2	.	.	X
cana-3142	68	3	type-2	type-2	NUM
cana-3142	68	4	interval	interval	NOUN
cana-3142	68	5	fuzzy	fuzzy	ADJ
cana-3142	68	6	logic	logic	NOUN
cana-3142	68	7	3.1	3.1	NUM
cana-3142	68	8	the	the	DET
cana-3142	68	9	development	development	NOUN
cana-3142	68	10	of	of	ADP
cana-3142	68	11	models	model	NOUN
cana-3142	68	12	recent	recent	ADJ
cana-3142	68	13	developments	development	NOUN
cana-3142	68	14	in	in	ADP
cana-3142	68	15	computer	computer	NOUN
cana-3142	68	16	power	power	NOUN
cana-3142	68	17	have	have	AUX
cana-3142	68	18	led	lead	VERB
cana-3142	68	19	to	to	ADP
cana-3142	68	20	the	the	DET
cana-3142	68	21	creation	creation	NOUN
cana-3142	68	22	of	of	ADP
cana-3142	68	23	computational	computational	ADJ
cana-3142	68	24	intelligence	intelligence	NOUN
cana-3142	68	25	,	,	PUNCT
cana-3142	68	26	which	which	PRON
cana-3142	68	27	in	in	ADP
cana-3142	68	28	turn	turn	NOUN
cana-3142	68	29	has	have	VERB
cana-3142	68	30	good	good	ADJ
cana-3142	68	31	impacts	impact	NOUN
cana-3142	68	32	on	on	ADP
cana-3142	68	33	several	several	ADJ
cana-3142	68	34	fields	field	NOUN
cana-3142	68	35	,	,	PUNCT
cana-3142	68	36	such	such	ADJ
cana-3142	68	37	as	as	ADP
cana-3142	68	38	healthcare	healthcare	NOUN
cana-3142	68	39	and	and	CCONJ
cana-3142	68	40	manufacturing	manufacturing	NOUN
cana-3142	68	41	,	,	PUNCT
cana-3142	68	42	among	among	ADP
cana-3142	68	43	others	other	NOUN
cana-3142	68	44	.	.	PUNCT
cana-3142	69	1	computer	computer	NOUN
cana-3142	69	2	technologies	technology	NOUN
cana-3142	69	3	have	have	AUX
cana-3142	69	4	also	also	ADV
cana-3142	69	5	altered	alter	VERB
cana-3142	69	6	the	the	DET
cana-3142	69	7	way	way	NOUN
cana-3142	69	8	academic	academic	ADJ
cana-3142	69	9	and	and	CCONJ
cana-3142	69	10	business	business	NOUN
cana-3142	69	11	researchers	researcher	NOUN
cana-3142	69	12	think	think	VERB
cana-3142	69	13	.	.	PUNCT
cana-3142	70	1	it	it	PRON
cana-3142	70	2	follows	follow	VERB
cana-3142	70	3	that	that	SCONJ
cana-3142	70	4	data	data	NOUN
cana-3142	70	5	-	-	PUNCT
cana-3142	70	6	driven	drive	VERB
cana-3142	70	7	modelling	modelling	NOUN
cana-3142	70	8	techniques	technique	NOUN
cana-3142	70	9	,	,	PUNCT
cana-3142	70	10	inspired	inspire	VERB
cana-3142	70	11	by	by	ADP
cana-3142	70	12	the	the	DET
cana-3142	70	13	human	human	ADJ
cana-3142	70	14	brain	brain	NOUN
cana-3142	70	15	,	,	PUNCT
cana-3142	70	16	are	be	AUX
cana-3142	70	17	built	build	VERB
cana-3142	70	18	and	and	CCONJ
cana-3142	70	19	refined	refine	VERB
cana-3142	70	20	using	use	VERB
cana-3142	70	21	the	the	DET
cana-3142	70	22	seen	see	VERB
cana-3142	70	23	and	and	CCONJ
cana-3142	70	24	gathered	gather	VERB
cana-3142	70	25	data	datum	NOUN
cana-3142	70	26	.	.	PUNCT
cana-3142	71	1	paradigm	paradigm	NOUN
cana-3142	71	2	shifts	shift	NOUN
cana-3142	71	3	in	in	ADP
cana-3142	71	4	modelling	modelling	NOUN
cana-3142	71	5	may	may	AUX
cana-3142	71	6	supplement	supplement	VERB
cana-3142	71	7	or	or	CCONJ
cana-3142	71	8	even	even	ADV
cana-3142	71	9	replace	replace	VERB
cana-3142	71	10	so	so	ADV
cana-3142	71	11	-	-	PUNCT
cana-3142	71	12	called	call	VERB
cana-3142	71	13	physical	physical	NOUN
cana-3142	71	14	-	-	PUNCT
cana-3142	71	15	based	base	VERB
cana-3142	71	16	models	model	NOUN
cana-3142	71	17	,	,	PUNCT
cana-3142	71	18	especially	especially	ADV
cana-3142	71	19	for	for	ADP
cana-3142	71	20	processes	process	NOUN
cana-3142	71	21	for	for	ADP
cana-3142	71	22	which	which	PRON
cana-3142	71	23	they	they	PRON
cana-3142	71	24	are	be	AUX
cana-3142	71	25	either	either	ADV
cana-3142	71	26	unavailable	unavailable	ADJ
cana-3142	71	27	or	or	CCONJ
cana-3142	71	28	too	too	ADV
cana-3142	71	29	complicated	complicated	ADJ
cana-3142	71	30	to	to	PART
cana-3142	71	31	construct	construct	VERB
cana-3142	71	32	.	.	PUNCT
cana-3142	72	1	as	as	ADP
cana-3142	72	2	a	a	DET
cana-3142	72	3	result	result	NOUN
cana-3142	72	4	,	,	PUNCT
cana-3142	72	5	several	several	ADJ
cana-3142	72	6	data	data	NOUN
cana-3142	72	7	-	-	PUNCT
cana-3142	72	8	driven	drive	VERB
cana-3142	72	9	paradigms	paradigm	NOUN
cana-3142	72	10	,	,	PUNCT
cana-3142	72	11	including	include	VERB
cana-3142	72	12	anns	anns	NOUN
cana-3142	72	13	and	and	CCONJ
cana-3142	72	14	regression	regression	NOUN
cana-3142	72	15	models	model	NOUN
cana-3142	72	16	,	,	PUNCT
cana-3142	72	17	have	have	AUX
cana-3142	72	18	been	be	AUX
cana-3142	72	19	created	create	VERB
cana-3142	72	20	and	and	CCONJ
cana-3142	72	21	used	use	VERB
cana-3142	72	22	in	in	ADP
cana-3142	72	23	fields	field	NOUN
cana-3142	72	24	including	include	VERB
cana-3142	72	25	healthcare	healthcare	NOUN
cana-3142	72	26	,	,	PUNCT
cana-3142	72	27	manufacturing	manufacturing	NOUN
cana-3142	72	28	,	,	PUNCT
cana-3142	72	29	and	and	CCONJ
cana-3142	72	30	maritime	maritime	ADJ
cana-3142	72	31	technology	technology	NOUN
cana-3142	72	32	.	.	PUNCT
cana-3142	73	1	not	not	PART
cana-3142	73	2	all	all	PRON
cana-3142	73	3	of	of	ADP
cana-3142	73	4	the	the	DET
cana-3142	73	5	offered	offer	VERB
cana-3142	73	6	models	model	NOUN
cana-3142	73	7	can	can	AUX
cana-3142	73	8	capture	capture	VERB
cana-3142	73	9	complicated	complicated	ADJ
cana-3142	73	10	,	,	PUNCT
cana-3142	73	11	highly	highly	ADV
cana-3142	73	12	nonlinear	nonlinear	ADJ
cana-3142	73	13	interactions	interaction	NOUN
cana-3142	73	14	,	,	PUNCT
cana-3142	73	15	even	even	ADV
cana-3142	73	16	when	when	SCONJ
cana-3142	73	17	they	they	PRON
cana-3142	73	18	include	include	VERB
cana-3142	73	19	strong	strong	ADJ
cana-3142	73	20	algorithms	algorithm	NOUN
cana-3142	73	21	(	(	PUNCT
cana-3142	73	22	such	such	ADJ
cana-3142	73	23	as	as	ADP
cana-3142	73	24	regression	regression	NOUN
cana-3142	73	25	paradigms	paradigm	NOUN
cana-3142	73	26	)	)	PUNCT
cana-3142	73	27	.	.	PUNCT
cana-3142	74	1	the	the	DET
cana-3142	74	2	limited	limited	ADJ
cana-3142	74	3	interpretability	interpretability	NOUN
cana-3142	74	4	of	of	ADP
cana-3142	74	5	some	some	DET
cana-3142	74	6	models	model	NOUN
cana-3142	74	7	has	have	AUX
cana-3142	74	8	led	lead	VERB
cana-3142	74	9	to	to	ADP
cana-3142	74	10	their	their	PRON
cana-3142	74	11	label	label	NOUN
cana-3142	74	12	as	as	ADP
cana-3142	74	13	"	"	PUNCT
cana-3142	74	14	black	black	ADJ
cana-3142	74	15	-	-	PUNCT
cana-3142	74	16	box	box	NOUN
cana-3142	74	17	ones	one	NOUN
cana-3142	74	18	.	.	PUNCT
cana-3142	74	19	"	"	PUNCT
cana-3142	75	1	this	this	PRON
cana-3142	75	2	is	be	AUX
cana-3142	75	3	especially	especially	ADV
cana-3142	75	4	true	true	ADJ
cana-3142	75	5	with	with	ADP
cana-3142	75	6	anns	ann	NOUN
cana-3142	75	7	.	.	PUNCT
cana-3142	76	1	consequently	consequently	ADV
cana-3142	76	2	,	,	PUNCT
cana-3142	76	3	the	the	DET
cana-3142	76	4	fls	fls	NOUN
cana-3142	76	5	has	have	AUX
cana-3142	76	6	been	be	AUX
cana-3142	76	7	used	use	VERB
cana-3142	76	8	in	in	ADP
cana-3142	76	9	many	many	ADJ
cana-3142	76	10	situations	situation	NOUN
cana-3142	76	11	so	so	ADV
cana-3142	76	12	far	far	ADV
cana-3142	76	13	to	to	PART
cana-3142	76	14	create	create	VERB
cana-3142	76	15	a	a	DET
cana-3142	76	16	model	model	NOUN
cana-3142	76	17	that	that	PRON
cana-3142	76	18	can	can	AUX
cana-3142	76	19	effectively	effectively	ADV
cana-3142	76	20	account	account	VERB
cana-3142	76	21	for	for	ADP
cana-3142	76	22	uncertainties	uncertainty	NOUN
cana-3142	76	23	and	and	CCONJ
cana-3142	76	24	is	be	AUX
cana-3142	76	25	interpretable	interpretable	ADJ
cana-3142	76	26	.	.	PUNCT
cana-3142	77	1	fuzzy	fuzzy	ADJ
cana-3142	77	2	sets	set	NOUN
cana-3142	77	3	are	be	AUX
cana-3142	77	4	a	a	DET
cana-3142	77	5	good	good	ADJ
cana-3142	77	6	way	way	NOUN
cana-3142	77	7	to	to	PART
cana-3142	77	8	express	express	VERB
cana-3142	77	9	flss	flss	ADV
cana-3142	77	10	in	in	ADP
cana-3142	77	11	most	most	ADJ
cana-3142	77	12	cases	case	NOUN
cana-3142	77	13	.	.	PUNCT
cana-3142	78	1	typically	typically	ADV
cana-3142	78	2	,	,	PUNCT
cana-3142	78	3	these	these	DET
cana-3142	78	4	fuzzy	fuzzy	ADJ
cana-3142	78	5	sets	set	NOUN
cana-3142	78	6	fall	fall	VERB
cana-3142	78	7	into	into	ADP
cana-3142	78	8	two	two	NUM
cana-3142	78	9	categories	category	NOUN
cana-3142	78	10	:	:	PUNCT
cana-3142	78	11	type-1	type-1	NUM
cana-3142	78	12	and	and	CCONJ
cana-3142	78	13	type-2	type-2	NUM
cana-3142	78	14	.	.	PUNCT
cana-3142	79	1	type-1	type-1	NUM
cana-3142	79	2	fuzzy	fuzzy	ADJ
cana-3142	79	3	logic	logic	NOUN
cana-3142	79	4	systems	system	NOUN
cana-3142	79	5	are	be	AUX
cana-3142	79	6	defined	define	VERB
cana-3142	79	7	as	as	ADP
cana-3142	79	8	those	those	PRON
cana-3142	79	9	in	in	ADP
cana-3142	79	10	which	which	PRON
cana-3142	79	11	the	the	DET
cana-3142	79	12	rules	rule	NOUN
cana-3142	79	13	'	'	PART
cana-3142	79	14	antecedents	antecedent	NOUN
cana-3142	79	15	and	and	CCONJ
cana-3142	79	16	consequents	consequent	NOUN
cana-3142	79	17	are	be	AUX
cana-3142	79	18	defined	define	VERB
cana-3142	79	19	by	by	ADP
cana-3142	79	20	the	the	DET
cana-3142	79	21	former	former	ADJ
cana-3142	79	22	fuzzy	fuzzy	ADJ
cana-3142	79	23	sets	set	NOUN
cana-3142	79	24	(	(	PUNCT
cana-3142	79	25	t1fls	t1fls	NUM
cana-3142	79	26	)	)	PUNCT
cana-3142	79	27	.	.	PUNCT
cana-3142	80	1	type-2	type-2	NUM
cana-3142	80	2	fuzzy	fuzzy	ADJ
cana-3142	80	3	logic	logic	NOUN
cana-3142	80	4	systems	system	NOUN
cana-3142	80	5	(	(	PUNCT
cana-3142	80	6	t2fls	t2fls	NOUN
cana-3142	80	7	)	)	PUNCT
cana-3142	80	8	are	be	AUX
cana-3142	80	9	defined	define	VERB
cana-3142	80	10	as	as	ADP
cana-3142	80	11	those	those	PRON
cana-3142	80	12	in	in	ADP
cana-3142	80	13	which	which	PRON
cana-3142	80	14	fuzzy	fuzzy	ADJ
cana-3142	80	15	sets	set	NOUN
cana-3142	80	16	with	with	ADP
cana-3142	80	17	fuzzy	fuzzy	ADJ
cana-3142	80	18	membership	membership	NOUN
cana-3142	80	19	functions	function	NOUN
cana-3142	80	20	characterize	characterize	VERB
cana-3142	80	21	at	at	ADV
cana-3142	80	22	least	least	ADJ
cana-3142	80	23	one	one	NUM
cana-3142	80	24	of	of	ADP
cana-3142	80	25	the	the	DET
cana-3142	80	26	antecedents	antecedent	NOUN
cana-3142	80	27	and	and	CCONJ
cana-3142	80	28	consequents	consequent	NOUN
cana-3142	80	29	of	of	ADP
cana-3142	80	30	the	the	DET
cana-3142	80	31	rules	rule	NOUN
cana-3142	80	32	.	.	PUNCT
cana-3142	81	1	a	a	DET
cana-3142	81	2	well	well	ADV
cana-3142	81	3	-	-	PUNCT
cana-3142	81	4	known	know	VERB
cana-3142	81	5	advantage	advantage	NOUN
cana-3142	81	6	of	of	ADP
cana-3142	81	7	the	the	DET
cana-3142	81	8	t2fls	t2fls	NOUN
cana-3142	81	9	over	over	ADP
cana-3142	81	10	the	the	DET
cana-3142	81	11	t1fls	t1fls	PROPN
cana-3142	81	12	is	be	AUX
cana-3142	81	13	its	its	PRON
cana-3142	81	14	ability	ability	NOUN
cana-3142	81	15	to	to	PART
cana-3142	81	16	efficiently	efficiently	ADV
cana-3142	81	17	and	and	CCONJ
cana-3142	81	18	effectively	effectively	ADV
cana-3142	81	19	manage	manage	VERB
cana-3142	81	20	uncertainty	uncertainty	NOUN
cana-3142	81	21	.	.	PUNCT
cana-3142	82	1	it	it	PRON
cana-3142	82	2	is	be	AUX
cana-3142	82	3	well	well	ADV
cana-3142	82	4	recognized	recognize	VERB
cana-3142	82	5	,	,	PUNCT
cana-3142	82	6	however	however	ADV
cana-3142	82	7	,	,	PUNCT
cana-3142	82	8	that	that	SCONJ
cana-3142	82	9	such	such	DET
cana-3142	82	10	a	a	DET
cana-3142	82	11	system	system	NOUN
cana-3142	82	12	is	be	AUX
cana-3142	82	13	thought	think	VERB
cana-3142	82	14	to	to	PART
cana-3142	82	15	be	be	AUX
cana-3142	82	16	computationally	computationally	ADV
cana-3142	82	17	costly	costly	ADJ
cana-3142	82	18	.	.	PUNCT
cana-3142	83	1	this	this	PRON
cana-3142	83	2	led	lead	VERB
cana-3142	83	3	to	to	ADP
cana-3142	83	4	the	the	DET
cana-3142	83	5	presentation	presentation	NOUN
cana-3142	83	6	and	and	CCONJ
cana-3142	83	7	subsequent	subsequent	ADJ
cana-3142	83	8	implementation	implementation	NOUN
cana-3142	83	9	and	and	CCONJ
cana-3142	83	10	use	use	NOUN
cana-3142	83	11	of	of	ADP
cana-3142	83	12	an	an	DET
cana-3142	83	13	it2fls	it2fls	PROPN
cana-3142	83	14	.	.	PUNCT
cana-3142	84	1	figure	figure	NOUN
cana-3142	84	2	2	2	NUM
cana-3142	84	3	depicts	depict	VERB
cana-3142	84	4	the	the	DET
cana-3142	84	5	it2fls	it2fls	PROPN
cana-3142	84	6	architecture	architecture	NOUN
cana-3142	84	7	.	.	PUNCT
cana-3142	85	1	the	the	DET
cana-3142	85	2	first	first	ADJ
cana-3142	85	3	thing	thing	NOUN
cana-3142	85	4	to	to	PART
cana-3142	85	5	do	do	VERB
cana-3142	85	6	,	,	PUNCT
cana-3142	85	7	as	as	SCONJ
cana-3142	85	8	indicated	indicate	VERB
cana-3142	85	9	in	in	ADP
cana-3142	85	10	the	the	DET
cana-3142	85	11	image	image	NOUN
cana-3142	85	12	,	,	PUNCT
cana-3142	85	13	is	be	AUX
cana-3142	85	14	to	to	PART
cana-3142	85	15	convert	convert	VERB
cana-3142	85	16	the	the	DET
cana-3142	85	17	hard	hard	ADJ
cana-3142	85	18	data	datum	NOUN
cana-3142	85	19	points	point	NOUN
cana-3142	85	20	into	into	ADP
cana-3142	85	21	type-2	type-2	NUM
cana-3142	85	22	fuzzy	fuzzy	ADJ
cana-3142	85	23	collections	collection	NOUN
cana-3142	85	24	.	.	PUNCT
cana-3142	86	1	figure	figure	NOUN
cana-3142	86	2	2	2	NUM
cana-3142	86	3	it2fls	it2fls	PROPN
cana-3142	86	4	architecture	architecture	NOUN
cana-3142	86	5	differences	difference	NOUN
cana-3142	86	6	between	between	ADP
cana-3142	86	7	the	the	DET
cana-3142	86	8	lower	low	ADJ
cana-3142	86	9	and	and	CCONJ
cana-3142	86	10	higher	high	ADJ
cana-3142	86	11	means	mean	NOUN
cana-3142	86	12	are	be	AUX
cana-3142	86	13	indicated	indicate	VERB
cana-3142	86	14	by	by	ADP
cana-3142	86	15	the	the	DET
cana-3142	86	16	subscript	subscript	NOUN
cana-3142	86	17	numbers	number	NOUN
cana-3142	86	18	.	.	PUNCT
cana-3142	87	1	"	"	PUNCT
cana-3142	87	2	footprint	footprint	NOUN
cana-3142	87	3	of	of	ADP
cana-3142	87	4	uncertainty	uncertainty	NOUN
cana-3142	87	5	"	"	PUNCT
cana-3142	87	6	is	be	AUX
cana-3142	87	7	the	the	DET
cana-3142	87	8	common	common	ADJ
cana-3142	87	9	term	term	NOUN
cana-3142	87	10	for	for	ADP
cana-3142	87	11	the	the	DET
cana-3142	87	12	darkened	darken	VERB
cana-3142	87	13	region	region	NOUN
cana-3142	87	14	sitting	sit	VERB
cana-3142	87	15	between	between	ADP
cana-3142	87	16	the	the	DET
cana-3142	87	17	two	two	NUM
cana-3142	87	18	membership	membership	NOUN
cana-3142	87	19	functions	function	NOUN
cana-3142	87	20	.	.	PUNCT
cana-3142	88	1	the	the	DET
cana-3142	88	2	inference	inference	NOUN
cana-3142	88	3	procedure	procedure	NOUN
cana-3142	88	4	involves	involve	VERB
cana-3142	88	5	combining	combine	VERB
cana-3142	88	6	the	the	DET
cana-3142	88	7	specified	specify	VERB
cana-3142	88	8	rules	rule	NOUN
cana-3142	88	9	to	to	PART
cana-3142	88	10	translate	translate	VERB
cana-3142	88	11	the	the	DET
cana-3142	88	12	initial	initial	ADJ
cana-3142	88	13	fuzzy	fuzzy	ADJ
cana-3142	88	14	sets	set	NOUN
cana-3142	88	15	to	to	ADP
cana-3142	88	16	the	the	DET
cana-3142	88	17	resulting	result	VERB
cana-3142	88	18	fuzzy	fuzzy	ADJ
cana-3142	88	19	sets	set	NOUN
cana-3142	88	20	.	.	PUNCT
cana-3142	89	1	the	the	DET
cana-3142	89	2	rules	rule	NOUN
cana-3142	89	3	are	be	AUX
cana-3142	89	4	usually	usually	ADV
cana-3142	89	5	either	either	CCONJ
cana-3142	89	6	discovered	discover	VERB
cana-3142	89	7	and	and	CCONJ
cana-3142	89	8	supplied	supply	VERB
cana-3142	89	9	by	by	ADP
cana-3142	89	10	specialists	specialist	NOUN
cana-3142	89	11	or	or	CCONJ
cana-3142	89	12	abstracted	abstract	VERB
cana-3142	89	13	from	from	ADP
cana-3142	89	14	an	an	DET
cana-3142	89	15	existing	exist	VERB
cana-3142	89	16	data	data	NOUN
cana-3142	89	17	collection	collection	NOUN
cana-3142	89	18	(	(	PUNCT
cana-3142	89	19	the	the	DET
cana-3142	89	20	experimental	experimental	ADJ
cana-3142	89	21	data	data	PROPN
cana-3142	89	22	)	)	PUNCT
cana-3142	89	23	.	.	PUNCT
cana-3142	90	1	a	a	DET
cana-3142	90	2	common	common	ADJ
cana-3142	90	3	way	way	NOUN
cana-3142	90	4	to	to	PART
cana-3142	90	5	represent	represent	VERB
cana-3142	90	6	these	these	DET
cana-3142	90	7	principles	principle	NOUN
cana-3142	90	8	is	be	AUX
cana-3142	90	9	using	use	VERB
cana-3142	90	10	an	an	DET
cana-3142	90	11	if	if	NOUN
cana-3142	90	12	-	-	PUNCT
cana-3142	90	13	then	then	ADV
cana-3142	90	14	statement	statement	NOUN
cana-3142	90	15	,	,	PUNCT
cana-3142	90	16	like	like	ADP
cana-3142	90	17	this	this	PRON
cana-3142	90	18	:	:	PUNCT
cana-3142	90	19	communications	communication	NOUN
cana-3142	90	20	on	on	ADP
cana-3142	90	21	applied	apply	VERB
cana-3142	90	22	nonlinear	nonlinear	ADJ
cana-3142	90	23	analysis	analysis	NOUN
cana-3142	90	24	issn	issn	NOUN
cana-3142	90	25	:	:	PUNCT
cana-3142	90	26	1074	1074	NUM
cana-3142	90	27	-	-	PUNCT
cana-3142	90	28	133x	133x	NUM
cana-3142	90	29	vol	vol	NOUN
cana-3142	90	30	32	32	NUM
cana-3142	90	31	no	no	NOUN
cana-3142	90	32	.	.	PUNCT
cana-3142	91	1	5s	5s	NUM
cana-3142	91	2	(	(	PUNCT
cana-3142	91	3	2025	2025	NUM
cana-3142	91	4	)	)	PUNCT
cana-3142	91	5	448	448	NUM
cana-3142	92	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	92	2	𝑹𝒖𝒍𝒆𝑖	𝑹𝒖𝒍𝒆𝑖	PROPN
cana-3142	92	3	:	:	PUNCT
cana-3142	92	4	𝑰𝑭	𝑰𝑭	PROPN
cana-3142	92	5	𝑥1	𝑥1	PROPN
cana-3142	92	6	𝑖𝑠	𝑖𝑠	NOUN
cana-3142	92	7	𝐴1	𝐴1	PROPN
cana-3142	92	8	�	�	PROPN
cana-3142	92	9	̃	̃	PROPN
cana-3142	92	10	�	�	PROPN
cana-3142	92	11	…	…	PUNCT
cana-3142	92	12	𝑎𝑛𝑑	𝑎𝑛𝑑	ADJ
cana-3142	92	13	𝑥𝑛	𝑥𝑛	PROPN
cana-3142	92	14	𝑖𝑠	𝑖𝑠	INTJ
cana-3142	92	15	𝑥𝑛	𝑥𝑛	VERB
cana-3142	92	16	𝑖𝑠	𝑖𝑠	INTJ
cana-3142	92	17	𝐴𝑛	𝐴𝑛	PROPN
cana-3142	92	18	�	�	PROPN
cana-3142	92	19	̃	̃	PROPN
cana-3142	92	20	�	�	PROPN
cana-3142	92	21	𝑻𝑯𝑬𝑵	𝑻𝑯𝑬𝑵	PROPN
cana-3142	92	22	𝑦	𝑦	SYM
cana-3142	92	23	𝑖𝑠	𝑖𝑠	CCONJ
cana-3142	93	1	𝐵	𝐵	PROPN
cana-3142	93	2	�	�	PROPN
cana-3142	93	3	̃	̃	PROPN
cana-3142	93	4	�	�	NOUN
cana-3142	93	5	where	where	SCONJ
cana-3142	93	6	𝐴𝑗	𝐴𝑗	PROPN
cana-3142	93	7	�	�	PROPN
cana-3142	93	8	̃	̃	PROPN
cana-3142	93	9	�	�	PROPN
cana-3142	93	10	represents	represent	VERB
cana-3142	93	11	the	the	DET
cana-3142	93	12	membership	membership	NOUN
cana-3142	93	13	function	function	NOUN
cana-3142	93	14	of	of	ADP
cana-3142	93	15	the	the	DET
cana-3142	93	16	jth	jth	PROPN
cana-3142	93	17	rule	rule	NOUN
cana-3142	93	18	's	's	PART
cana-3142	93	19	antecedent	antecedent	NOUN
cana-3142	93	20	and	and	CCONJ
cana-3142	93	21	bi	bi	NOUN
cana-3142	93	22	stands	stand	VERB
cana-3142	93	23	for	for	ADP
cana-3142	93	24	the	the	DET
cana-3142	93	25	rule	rule	NOUN
cana-3142	93	26	's	's	PART
cana-3142	93	27	consequent	consequent	NOUN
cana-3142	93	28	.	.	PUNCT
cana-3142	94	1	it	it	PRON
cana-3142	94	2	should	should	AUX
cana-3142	94	3	be	be	AUX
cana-3142	94	4	noted	note	VERB
cana-3142	94	5	that	that	SCONJ
cana-3142	94	6	the	the	DET
cana-3142	94	7	t1fls	t1fls	PROPN
cana-3142	94	8	and	and	CCONJ
cana-3142	94	9	t2fls	t2fls	NOUN
cana-3142	94	10	rules	rule	NOUN
cana-3142	94	11	are	be	AUX
cana-3142	94	12	structurally	structurally	ADV
cana-3142	94	13	identical	identical	ADJ
cana-3142	94	14	;	;	PUNCT
cana-3142	94	15	the	the	DET
cana-3142	94	16	difference	difference	NOUN
cana-3142	94	17	pertains	pertain	VERB
cana-3142	94	18	to	to	ADP
cana-3142	94	19	the	the	DET
cana-3142	94	20	nature	nature	NOUN
cana-3142	94	21	of	of	ADP
cana-3142	94	22	the	the	DET
cana-3142	94	23	membership	membership	NOUN
cana-3142	94	24	functions	function	NOUN
cana-3142	94	25	.	.	PUNCT
cana-3142	95	1	the	the	DET
cana-3142	95	2	mamdani	mamdani	ADJ
cana-3142	95	3	fuzzy	fuzzy	ADJ
cana-3142	95	4	system	system	NOUN
cana-3142	95	5	is	be	AUX
cana-3142	95	6	used	use	VERB
cana-3142	95	7	in	in	ADP
cana-3142	95	8	the	the	DET
cana-3142	95	9	research	research	NOUN
cana-3142	95	10	work	work	NOUN
cana-3142	95	11	that	that	PRON
cana-3142	95	12	is	be	AUX
cana-3142	95	13	presented	present	VERB
cana-3142	95	14	.	.	PUNCT
cana-3142	96	1	in	in	ADP
cana-3142	96	2	this	this	DET
cana-3142	96	3	setup	setup	NOUN
cana-3142	96	4	,	,	PUNCT
cana-3142	96	5	a	a	DET
cana-3142	96	6	membership	membership	NOUN
cana-3142	96	7	function	function	NOUN
cana-3142	96	8	stands	stand	VERB
cana-3142	96	9	in	in	ADP
cana-3142	96	10	for	for	ADP
cana-3142	96	11	𝐵	𝐵	PROPN
cana-3142	96	12	�	�	PROPN
cana-3142	96	13	̃	̃	PROPN
cana-3142	96	14	�	�	PROPN
cana-3142	96	15	.	.	PUNCT
cana-3142	97	1	the	the	DET
cana-3142	97	2	fuzzy	fuzzy	ADJ
cana-3142	97	3	set	set	NOUN
cana-3142	97	4	is	be	AUX
cana-3142	97	5	a	a	DET
cana-3142	97	6	frequent	frequent	ADJ
cana-3142	97	7	way	way	NOUN
cana-3142	97	8	to	to	PART
cana-3142	97	9	explain	explain	VERB
cana-3142	97	10	functions	function	NOUN
cana-3142	97	11	of	of	ADP
cana-3142	97	12	membership	membership	NOUN
cana-3142	97	13	that	that	PRON
cana-3142	97	14	are	be	AUX
cana-3142	97	15	often	often	ADV
cana-3142	97	16	stated	state	VERB
cana-3142	97	17	in	in	ADP
cana-3142	97	18	words	word	NOUN
cana-3142	97	19	,	,	PUNCT
cana-3142	97	20	such	such	ADJ
cana-3142	97	21	as	as	ADP
cana-3142	97	22	low	low	ADJ
cana-3142	97	23	and	and	CCONJ
cana-3142	97	24	medium	medium	ADJ
cana-3142	97	25	.	.	PUNCT
cana-3142	98	1	fuzzy	fuzzy	ADJ
cana-3142	98	2	sets	set	NOUN
cana-3142	98	3	typically	typically	ADV
cana-3142	98	4	provide	provide	VERB
cana-3142	98	5	subjective	subjective	ADJ
cana-3142	98	6	information	information	NOUN
cana-3142	98	7	about	about	ADP
cana-3142	98	8	the	the	DET
cana-3142	98	9	process	process	NOUN
cana-3142	98	10	being	be	AUX
cana-3142	98	11	evaluated	evaluate	VERB
cana-3142	98	12	.	.	PUNCT
cana-3142	99	1	type-2	type-2	NUM
cana-3142	99	2	fuzzy	fuzzy	ADJ
cana-3142	99	3	set	set	VERB
cana-3142	99	4	outputs	output	NOUN
cana-3142	99	5	are	be	AUX
cana-3142	99	6	transformed	transform	VERB
cana-3142	99	7	into	into	ADP
cana-3142	99	8	type-1	type-1	NUM
cana-3142	99	9	ones	one	NOUN
cana-3142	99	10	as	as	ADP
cana-3142	99	11	a	a	DET
cana-3142	99	12	result	result	NOUN
cana-3142	99	13	of	of	ADP
cana-3142	99	14	the	the	DET
cana-3142	99	15	inference	inference	NOUN
cana-3142	99	16	process	process	NOUN
cana-3142	99	17	.	.	PUNCT
cana-3142	100	1	typically	typically	ADV
cana-3142	100	2	,	,	PUNCT
cana-3142	100	3	the	the	DET
cana-3142	100	4	karnik	karnik	NOUN
cana-3142	100	5	-	-	PUNCT
cana-3142	100	6	mendel	mendel	ADJ
cana-3142	100	7	(	(	PUNCT
cana-3142	100	8	km	km	NOUN
cana-3142	100	9	)	)	PUNCT
cana-3142	100	10	method	method	NOUN
cana-3142	100	11	is	be	AUX
cana-3142	100	12	used	use	VERB
cana-3142	100	13	to	to	PART
cana-3142	100	14	establish	establish	VERB
cana-3142	100	15	the	the	DET
cana-3142	100	16	upper	upper	ADJ
cana-3142	100	17	and	and	CCONJ
cana-3142	100	18	lower	low	ADJ
cana-3142	100	19	bounds	bound	NOUN
cana-3142	100	20	in	in	ADP
cana-3142	100	21	this	this	DET
cana-3142	100	22	stage	stage	NOUN
cana-3142	100	23	.	.	PUNCT
cana-3142	101	1	it	it	PRON
cana-3142	101	2	should	should	AUX
cana-3142	101	3	be	be	AUX
cana-3142	101	4	noted	note	VERB
cana-3142	101	5	that	that	SCONJ
cana-3142	101	6	the	the	DET
cana-3142	101	7	majority	majority	NOUN
cana-3142	101	8	of	of	ADP
cana-3142	101	9	the	the	DET
cana-3142	101	10	computational	computational	ADJ
cana-3142	101	11	work	work	NOUN
cana-3142	101	12	is	be	AUX
cana-3142	101	13	incurred	incur	VERB
cana-3142	101	14	during	during	ADP
cana-3142	101	15	the	the	DET
cana-3142	101	16	type	type	NOUN
cana-3142	101	17	reduction	reduction	NOUN
cana-3142	101	18	stage	stage	NOUN
cana-3142	101	19	.	.	PUNCT
cana-3142	102	1	the	the	DET
cana-3142	102	2	last	last	ADJ
cana-3142	102	3	step	step	NOUN
cana-3142	102	4	is	be	AUX
cana-3142	102	5	to	to	PART
cana-3142	102	6	use	use	VERB
cana-3142	102	7	a	a	DET
cana-3142	102	8	defuzzification	defuzzification	NOUN
cana-3142	102	9	technique	technique	NOUN
cana-3142	102	10	to	to	PART
cana-3142	102	11	get	get	VERB
cana-3142	102	12	a	a	DET
cana-3142	102	13	clean	clean	ADJ
cana-3142	102	14	output	output	NOUN
cana-3142	102	15	by	by	ADP
cana-3142	102	16	averaging	average	VERB
cana-3142	102	17	the	the	DET
cana-3142	102	18	values	value	NOUN
cana-3142	102	19	.	.	PUNCT
cana-3142	103	1	3.2	3.2	NUM
cana-3142	103	2	results	result	NOUN
cana-3142	103	3	with	with	ADP
cana-3142	103	4	discussion	discussion	NOUN
cana-3142	103	5	the	the	DET
cana-3142	103	6	roughness	roughness	NOUN
cana-3142	103	7	of	of	ADP
cana-3142	103	8	the	the	DET
cana-3142	103	9	surface	surface	NOUN
cana-3142	103	10	(	(	PUNCT
cana-3142	103	11	ra	ra	PROPN
cana-3142	103	12	value	value	NOUN
cana-3142	103	13	)	)	PUNCT
cana-3142	103	14	was	be	AUX
cana-3142	103	15	utilized	utilize	VERB
cana-3142	103	16	as	as	ADP
cana-3142	103	17	a	a	DET
cana-3142	103	18	proxy	proxy	NOUN
cana-3142	103	19	for	for	ADP
cana-3142	103	20	machining	machine	VERB
cana-3142	103	21	quality	quality	NOUN
cana-3142	103	22	in	in	ADP
cana-3142	103	23	this	this	DET
cana-3142	103	24	research	research	NOUN
cana-3142	103	25	,	,	PUNCT
cana-3142	103	26	which	which	PRON
cana-3142	103	27	utilized	utilize	VERB
cana-3142	103	28	the	the	DET
cana-3142	103	29	it2fls	it2fls	PROPN
cana-3142	103	30	to	to	PART
cana-3142	103	31	anticipate	anticipate	VERB
cana-3142	103	32	cutting	cut	VERB
cana-3142	103	33	force	force	NOUN
cana-3142	103	34	.	.	PUNCT
cana-3142	104	1	this	this	DET
cana-3142	104	2	research	research	NOUN
cana-3142	104	3	made	make	VERB
cana-3142	104	4	use	use	NOUN
cana-3142	104	5	of	of	ADP
cana-3142	104	6	the	the	DET
cana-3142	104	7	it2fls	it2fls	PROPN
cana-3142	104	8	because	because	SCONJ
cana-3142	104	9	of	of	ADP
cana-3142	104	10	its	its	PRON
cana-3142	104	11	ability	ability	NOUN
cana-3142	104	12	to	to	PART
cana-3142	104	13	(	(	PUNCT
cana-3142	104	14	i)generally	i)generally	ADV
cana-3142	104	15	)	)	PUNCT
cana-3142	104	16	depict	depict	VERB
cana-3142	104	17	very	very	ADV
cana-3142	104	18	nonlinear	nonlinear	ADJ
cana-3142	104	19	input	input	NOUN
cana-3142	104	20	/	/	SYM
cana-3142	104	21	output	output	NOUN
cana-3142	104	22	connections	connection	NOUN
cana-3142	104	23	,	,	PUNCT
cana-3142	104	24	(	(	PUNCT
cana-3142	104	25	ii)capably	ii)capably	ADV
cana-3142	104	26	handle	handle	VERB
cana-3142	104	27	the	the	DET
cana-3142	104	28	uncertainty	uncertainty	NOUN
cana-3142	104	29	that	that	PRON
cana-3142	104	30	may	may	AUX
cana-3142	104	31	surround	surround	VERB
cana-3142	104	32	the	the	DET
cana-3142	104	33	process	process	NOUN
cana-3142	104	34	,	,	PUNCT
cana-3142	104	35	and	and	CCONJ
cana-3142	104	36	(	(	PUNCT
cana-3142	104	37	iii)provide	iii)provide	NOUN
cana-3142	104	38	users	user	NOUN
cana-3142	104	39	with	with	ADP
cana-3142	104	40	a	a	DET
cana-3142	104	41	straightforward	straightforward	ADJ
cana-3142	104	42	,	,	PUNCT
cana-3142	104	43	languagebased	languagebase	VERB
cana-3142	104	44	comprehension	comprehension	NOUN
cana-3142	104	45	of	of	ADP
cana-3142	104	46	the	the	DET
cana-3142	104	47	process	process	NOUN
cana-3142	104	48	using	use	VERB
cana-3142	104	49	the	the	DET
cana-3142	104	50	if	if	NOUN
cana-3142	104	51	/	/	SYM
cana-3142	104	52	then	then	ADV
cana-3142	104	53	rules	rule	VERB
cana-3142	104	54	.	.	PUNCT
cana-3142	105	1	the	the	DET
cana-3142	105	2	data	datum	NOUN
cana-3142	105	3	was	be	AUX
cana-3142	105	4	divided	divide	VERB
cana-3142	105	5	into	into	ADP
cana-3142	105	6	two	two	NUM
cana-3142	105	7	sets	set	NOUN
cana-3142	105	8	:	:	PUNCT
cana-3142	105	9	one	one	NUM
cana-3142	105	10	for	for	ADP
cana-3142	105	11	training	training	NOUN
cana-3142	105	12	purposes	purpose	NOUN
cana-3142	105	13	,	,	PUNCT
cana-3142	105	14	which	which	PRON
cana-3142	105	15	includes	include	VERB
cana-3142	105	16	38	38	NUM
cana-3142	105	17	trials	trial	NOUN
cana-3142	105	18	,	,	PUNCT
cana-3142	105	19	and	and	CCONJ
cana-3142	105	20	another	another	PRON
cana-3142	105	21	for	for	ADP
cana-3142	105	22	testing	testing	NOUN
cana-3142	105	23	purposes	purpose	NOUN
cana-3142	105	24	,	,	PUNCT
cana-3142	105	25	which	which	PRON
cana-3142	105	26	includes	include	VERB
cana-3142	105	27	16	16	NUM
cana-3142	105	28	experiments	experiment	NOUN
cana-3142	105	29	.	.	PUNCT
cana-3142	106	1	this	this	PRON
cana-3142	106	2	was	be	AUX
cana-3142	106	3	done	do	VERB
cana-3142	106	4	so	so	SCONJ
cana-3142	106	5	that	that	SCONJ
cana-3142	106	6	the	the	DET
cana-3142	106	7	model	model	NOUN
cana-3142	106	8	could	could	AUX
cana-3142	106	9	be	be	AUX
cana-3142	106	10	developed	develop	VERB
cana-3142	106	11	using	use	VERB
cana-3142	106	12	the	the	DET
cana-3142	106	13	available	available	ADJ
cana-3142	106	14	data	data	NOUN
cana-3142	106	15	points	point	NOUN
cana-3142	106	16	.	.	PUNCT
cana-3142	107	1	the	the	DET
cana-3142	107	2	input	input	NOUN
cana-3142	107	3	/	/	SYM
cana-3142	107	4	output	output	NOUN
cana-3142	107	5	linkages	linkage	NOUN
cana-3142	107	6	may	may	AUX
cana-3142	107	7	be	be	AUX
cana-3142	107	8	learned	learn	VERB
cana-3142	107	9	by	by	ADP
cana-3142	107	10	the	the	DET
cana-3142	107	11	paradigm	paradigm	NOUN
cana-3142	107	12	using	use	VERB
cana-3142	107	13	the	the	DET
cana-3142	107	14	training	training	NOUN
cana-3142	107	15	data	datum	NOUN
cana-3142	107	16	set	set	VERB
cana-3142	107	17	,	,	PUNCT
cana-3142	107	18	which	which	PRON
cana-3142	107	19	is	be	AUX
cana-3142	107	20	used	use	VERB
cana-3142	107	21	for	for	ADP
cana-3142	107	22	rule	rule	NOUN
cana-3142	107	23	extraction	extraction	NOUN
cana-3142	107	24	;	;	PUNCT
cana-3142	107	25	the	the	DET
cana-3142	107	26	generalization	generalization	NOUN
cana-3142	107	27	capabilities	capability	NOUN
cana-3142	107	28	of	of	ADP
cana-3142	107	29	fls	fls	PROPN
cana-3142	107	30	can	can	AUX
cana-3142	107	31	be	be	AUX
cana-3142	107	32	tested	test	VERB
cana-3142	107	33	using	use	VERB
cana-3142	107	34	the	the	DET
cana-3142	107	35	testing	testing	NOUN
cana-3142	107	36	data	datum	NOUN
cana-3142	107	37	set	set	VERB
cana-3142	107	38	.	.	PUNCT
cana-3142	108	1	it	it	PRON
cana-3142	108	2	should	should	AUX
cana-3142	108	3	be	be	AUX
cana-3142	108	4	noted	note	VERB
cana-3142	108	5	at	at	ADP
cana-3142	108	6	this	this	DET
cana-3142	108	7	point	point	NOUN
cana-3142	108	8	that	that	SCONJ
cana-3142	108	9	several	several	ADJ
cana-3142	108	10	division	division	NOUN
cana-3142	108	11	techniques	technique	NOUN
cana-3142	108	12	have	have	AUX
cana-3142	108	13	been	be	AUX
cana-3142	108	14	explored	explore	VERB
cana-3142	108	15	in	in	ADP
cana-3142	108	16	the	the	DET
cana-3142	108	17	relevant	relevant	ADJ
cana-3142	108	18	literature	literature	NOUN
cana-3142	108	19	up	up	ADP
cana-3142	108	20	to	to	ADP
cana-3142	108	21	this	this	DET
cana-3142	108	22	point	point	NOUN
cana-3142	108	23	.	.	PUNCT
cana-3142	109	1	this	this	DET
cana-3142	109	2	study	study	NOUN
cana-3142	109	3	concluded	conclude	VERB
cana-3142	109	4	that	that	SCONJ
cana-3142	109	5	the	the	DET
cana-3142	109	6	simplest	simple	ADJ
cana-3142	109	7	and	and	CCONJ
cana-3142	109	8	most	most	ADV
cana-3142	109	9	effective	effective	ADJ
cana-3142	109	10	approach	approach	NOUN
cana-3142	109	11	was	be	AUX
cana-3142	109	12	to	to	PART
cana-3142	109	13	randomly	randomly	ADV
cana-3142	109	14	divide	divide	VERB
cana-3142	109	15	the	the	DET
cana-3142	109	16	data	datum	NOUN
cana-3142	109	17	into	into	ADP
cana-3142	109	18	a	a	DET
cana-3142	109	19	training	training	NOUN
cana-3142	109	20	set	set	NOUN
cana-3142	109	21	and	and	CCONJ
cana-3142	109	22	a	a	DET
cana-3142	109	23	testing	testing	NOUN
cana-3142	109	24	set	set	NOUN
cana-3142	109	25	.	.	PUNCT
cana-3142	110	1	it	it	PRON
cana-3142	110	2	is	be	AUX
cana-3142	110	3	important	important	ADJ
cana-3142	110	4	to	to	PART
cana-3142	110	5	understand	understand	VERB
cana-3142	110	6	the	the	DET
cana-3142	110	7	kind	kind	NOUN
cana-3142	110	8	of	of	ADP
cana-3142	110	9	input	input	NOUN
cana-3142	110	10	parameters	parameter	NOUN
cana-3142	110	11	being	be	AUX
cana-3142	110	12	investigated	investigate	VERB
cana-3142	110	13	to	to	PART
cana-3142	110	14	simulate	simulate	VERB
cana-3142	110	15	the	the	DET
cana-3142	110	16	turning	turning	NOUN
cana-3142	110	17	process	process	NOUN
cana-3142	110	18	effectively	effectively	ADV
cana-3142	110	19	.	.	PUNCT
cana-3142	111	1	the	the	DET
cana-3142	111	2	lubricant	lubricant	NOUN
cana-3142	111	3	parameter	parameter	NOUN
cana-3142	111	4	was	be	AUX
cana-3142	111	5	the	the	DET
cana-3142	111	6	only	only	ADJ
cana-3142	111	7	one	one	NOUN
cana-3142	111	8	that	that	PRON
cana-3142	111	9	was	be	AUX
cana-3142	111	10	treated	treat	VERB
cana-3142	111	11	as	as	ADP
cana-3142	111	12	a	a	DET
cana-3142	111	13	discrete	discrete	ADJ
cana-3142	111	14	variable	variable	NOUN
cana-3142	111	15	;	;	PUNCT
cana-3142	111	16	all	all	DET
cana-3142	111	17	the	the	DET
cana-3142	111	18	others	other	NOUN
cana-3142	111	19	were	be	AUX
cana-3142	111	20	treated	treat	VERB
cana-3142	111	21	as	as	ADP
cana-3142	111	22	continuous	continuous	ADJ
cana-3142	111	23	inputs	input	NOUN
cana-3142	111	24	in	in	ADP
cana-3142	111	25	this	this	DET
cana-3142	111	26	study	study	NOUN
cana-3142	111	27	.	.	PUNCT
cana-3142	112	1	the	the	DET
cana-3142	112	2	standard	standard	ADJ
cana-3142	112	3	deviation	deviation	NOUN
cana-3142	112	4	and	and	CCONJ
cana-3142	112	5	mean	mean	NOUN
cana-3142	112	6	of	of	ADP
cana-3142	112	7	the	the	DET
cana-3142	112	8	it2fls	it2fls	PROPN
cana-3142	112	9	parameters	parameter	NOUN
cana-3142	112	10	,	,	PUNCT
cana-3142	112	11	including	include	VERB
cana-3142	112	12	the	the	DET
cana-3142	112	13	number	number	NOUN
cana-3142	112	14	of	of	ADP
cana-3142	112	15	rules	rule	NOUN
cana-3142	112	16	,	,	PUNCT
cana-3142	112	17	were	be	AUX
cana-3142	112	18	first	first	ADV
cana-3142	112	19	set	set	VERB
cana-3142	112	20	using	use	VERB
cana-3142	112	21	the	the	DET
cana-3142	112	22	interval	interval	NOUN
cana-3142	112	23	type-2	type-2	PRON
cana-3142	112	24	fuzzy	fuzzy	ADJ
cana-3142	112	25	clustering	clustering	NOUN
cana-3142	112	26	method	method	NOUN
cana-3142	112	27	with	with	ADP
cana-3142	112	28	the	the	DET
cana-3142	112	29	gaussian	gaussian	ADJ
cana-3142	112	30	membership	membership	NOUN
cana-3142	112	31	function	function	NOUN
cana-3142	112	32	.	.	PUNCT
cana-3142	113	1	then	then	ADV
cana-3142	113	2	,	,	PUNCT
cana-3142	113	3	they	they	PRON
cana-3142	113	4	were	be	AUX
cana-3142	113	5	fine	fine	ADV
cana-3142	113	6	-	-	PUNCT
cana-3142	113	7	tuned	tune	VERB
cana-3142	113	8	using	use	VERB
cana-3142	113	9	the	the	DET
cana-3142	113	10	backpropagation	backpropagation	NOUN
cana-3142	113	11	network	network	NOUN
cana-3142	113	12	's	's	PART
cana-3142	113	13	standard	standard	ADJ
cana-3142	113	14	steepest	steep	ADJ
cana-3142	113	15	descent	descent	NOUN
cana-3142	113	16	approach	approach	NOUN
cana-3142	113	17	.	.	PUNCT
cana-3142	114	1	finding	find	VERB
cana-3142	114	2	the	the	DET
cana-3142	114	3	optimal	optimal	ADJ
cana-3142	114	4	number	number	NOUN
cana-3142	114	5	of	of	ADP
cana-3142	114	6	rules	rule	NOUN
cana-3142	114	7	meant	mean	VERB
cana-3142	114	8	minimizing	minimize	VERB
cana-3142	114	9	the	the	DET
cana-3142	114	10	gap	gap	NOUN
cana-3142	114	11	between	between	ADP
cana-3142	114	12	the	the	DET
cana-3142	114	13	desired	desire	VERB
cana-3142	114	14	and	and	CCONJ
cana-3142	114	15	expected	expect	VERB
cana-3142	114	16	values	value	NOUN
cana-3142	114	17	.	.	PUNCT
cana-3142	115	1	the	the	DET
cana-3142	115	2	rmse	rmse	NOUN
cana-3142	115	3	gave	give	VERB
cana-3142	115	4	an	an	DET
cana-3142	115	5	approximation	approximation	NOUN
cana-3142	115	6	of	of	ADP
cana-3142	115	7	this	this	DET
cana-3142	115	8	disparity	disparity	NOUN
cana-3142	115	9	.	.	PUNCT
cana-3142	116	1	figure	figure	NOUN
cana-3142	116	2	3	3	NUM
cana-3142	116	3	displays	display	VERB
cana-3142	116	4	the	the	DET
cana-3142	116	5	results	result	NOUN
cana-3142	116	6	of	of	ADP
cana-3142	116	7	the	the	DET
cana-3142	116	8	it2fls	it2fls	PROPN
cana-3142	116	9	's	's	PART
cana-3142	116	10	cutting	cut	VERB
cana-3142	116	11	force	force	NOUN
cana-3142	116	12	performance	performance	NOUN
cana-3142	116	13	,	,	PUNCT
cana-3142	116	14	with	with	ADP
cana-3142	116	15	a	a	DET
cana-3142	116	16	root	root	NOUN
cana-3142	116	17	-	-	PUNCT
cana-3142	116	18	mean	mean	NOUN
cana-3142	116	19	-	-	PUNCT
cana-3142	116	20	squared	square	VERB
cana-3142	116	21	error	error	NOUN
cana-3142	116	22	(	(	PUNCT
cana-3142	116	23	rmse	rmse	NOUN
cana-3142	116	24	)	)	PUNCT
cana-3142	116	25	(	(	PUNCT
cana-3142	116	26	training	training	NOUN
cana-3142	116	27	,	,	PUNCT
cana-3142	116	28	testing	testing	NOUN
cana-3142	116	29	)	)	PUNCT
cana-3142	116	30	between	between	ADP
cana-3142	116	31	1.198	1.198	NUM
cana-3142	116	32	and	and	CCONJ
cana-3142	116	33	1.231	1.231	NUM
cana-3142	116	34	.	.	PUNCT
cana-3142	117	1	compared	compare	VERB
cana-3142	117	2	to	to	ADP
cana-3142	117	3	the	the	DET
cana-3142	117	4	training	training	NOUN
cana-3142	117	5	data	datum	NOUN
cana-3142	117	6	set	set	VERB
cana-3142	117	7	,	,	PUNCT
cana-3142	117	8	the	the	DET
cana-3142	117	9	testing	testing	NOUN
cana-3142	117	10	set	set	NOUN
cana-3142	117	11	of	of	ADP
cana-3142	117	12	data	datum	NOUN
cana-3142	117	13	has	have	VERB
cana-3142	117	14	a	a	DET
cana-3142	117	15	somewhat	somewhat	ADV
cana-3142	117	16	higher	high	ADJ
cana-3142	117	17	rmse	rmse	NOUN
cana-3142	117	18	value	value	NOUN
cana-3142	117	19	.	.	PUNCT
cana-3142	118	1	this	this	PRON
cana-3142	118	2	may	may	AUX
cana-3142	118	3	suggest	suggest	VERB
cana-3142	118	4	that	that	SCONJ
cana-3142	118	5	there	there	PRON
cana-3142	118	6	has	have	AUX
cana-3142	118	7	been	be	AUX
cana-3142	118	8	an	an	DET
cana-3142	118	9	issue	issue	NOUN
cana-3142	118	10	with	with	ADP
cana-3142	118	11	overtraining	overtraining	NOUN
cana-3142	118	12	.	.	PUNCT
cana-3142	119	1	in	in	ADP
cana-3142	119	2	this	this	DET
cana-3142	119	3	method	method	NOUN
cana-3142	119	4	,	,	PUNCT
cana-3142	119	5	however	however	ADV
cana-3142	119	6	,	,	PUNCT
cana-3142	119	7	the	the	DET
cana-3142	119	8	force	force	NOUN
cana-3142	119	9	that	that	PRON
cana-3142	119	10	cuts	cut	VERB
cana-3142	119	11	values	value	NOUN
cana-3142	119	12	in	in	ADP
cana-3142	119	13	the	the	DET
cana-3142	119	14	test	test	NOUN
cana-3142	119	15	and	and	CCONJ
cana-3142	119	16	training	training	NOUN
cana-3142	119	17	sets	set	NOUN
cana-3142	119	18	is	be	AUX
cana-3142	119	19	linked	link	VERB
cana-3142	119	20	to	to	ADP
cana-3142	119	21	this	this	DET
cana-3142	119	22	discrepancy	discrepancy	NOUN
cana-3142	119	23	,	,	PUNCT
cana-3142	119	24	so	so	CCONJ
cana-3142	119	25	it	it	PRON
cana-3142	119	26	is	be	AUX
cana-3142	119	27	not	not	PART
cana-3142	119	28	the	the	DET
cana-3142	119	29	case	case	NOUN
cana-3142	119	30	.	.	PUNCT
cana-3142	120	1	to	to	PART
cana-3142	120	2	provide	provide	VERB
cana-3142	120	3	further	further	ADJ
cana-3142	120	4	context	context	NOUN
cana-3142	120	5	,	,	PUNCT
cana-3142	120	6	the	the	DET
cana-3142	120	7	value	value	NOUN
cana-3142	120	8	of	of	ADP
cana-3142	120	9	the	the	DET
cana-3142	120	10	rmse	rmse	NOUN
cana-3142	120	11	in	in	ADP
cana-3142	120	12	the	the	DET
cana-3142	120	13	set	set	NOUN
cana-3142	120	14	of	of	ADP
cana-3142	120	15	tests	test	NOUN
cana-3142	120	16	may	may	AUX
cana-3142	120	17	be	be	AUX
cana-3142	120	18	severely	severely	ADV
cana-3142	120	19	impacted	impact	VERB
cana-3142	120	20	by	by	ADP
cana-3142	120	21	three	three	NUM
cana-3142	120	22	points	point	NOUN
cana-3142	120	23	of	of	ADP
cana-3142	120	24	data	datum	NOUN
cana-3142	120	25	out	out	ADP
cana-3142	120	26	of	of	ADP
cana-3142	120	27	sixteen	sixteen	NUM
cana-3142	120	28	with	with	ADP
cana-3142	120	29	values	value	NOUN
cana-3142	120	30	larger	large	ADJ
cana-3142	120	31	than	than	ADP
cana-3142	120	32	20kgf	20kgf	NOUN
cana-3142	120	33	;	;	PUNCT
cana-3142	120	34	hence	hence	ADV
cana-3142	120	35	,	,	PUNCT
cana-3142	120	36	the	the	DET
cana-3142	120	37	values	value	NOUN
cana-3142	120	38	for	for	ADP
cana-3142	120	39	error	error	NOUN
cana-3142	120	40	are	be	AUX
cana-3142	120	41	rather	rather	ADV
cana-3142	120	42	big	big	ADJ
cana-3142	120	43	,	,	PUNCT
cana-3142	120	44	albeit	albeit	SCONJ
cana-3142	120	45	they	they	PRON
cana-3142	120	46	are	be	AUX
cana-3142	120	47	below	below	ADP
cana-3142	120	48	ten	ten	NUM
cana-3142	120	49	per	per	NOUN
cana-3142	120	50	cent	cent	NOUN
cana-3142	120	51	of	of	ADP
cana-3142	120	52	the	the	DET
cana-3142	120	53	goal	goal	NOUN
cana-3142	120	54	value	value	NOUN
cana-3142	120	55	.	.	PUNCT
cana-3142	121	1	calculating	calculate	VERB
cana-3142	121	2	the	the	DET
cana-3142	121	3	r2	r2	PROPN
cana-3142	121	4	(	(	PUNCT
cana-3142	121	5	training	training	NOUN
cana-3142	121	6	,	,	PUNCT
cana-3142	121	7	testing	testing	NOUN
cana-3142	121	8	)	)	PUNCT
cana-3142	121	9	coefficient	coefficient	NOUN
cana-3142	121	10	of	of	ADP
cana-3142	121	11	determination	determination	NOUN
cana-3142	121	12	proves	prove	VERB
cana-3142	121	13	this	this	PRON
cana-3142	121	14	.	.	PUNCT
cana-3142	122	1	figure	figure	VERB
cana-3142	122	2	3	3	NUM
cana-3142	122	3	further	far	ADV
cana-3142	122	4	shows	show	VERB
cana-3142	122	5	that	that	SCONJ
cana-3142	122	6	most	most	ADJ
cana-3142	122	7	of	of	ADP
cana-3142	122	8	the	the	DET
cana-3142	122	9	projected	project	VERB
cana-3142	122	10	values	value	NOUN
cana-3142	122	11	are	be	AUX
cana-3142	122	12	well	well	ADV
cana-3142	122	13	-	-	PUNCT
cana-3142	122	14	fitting	fitting	ADJ
cana-3142	122	15	within	within	ADP
cana-3142	122	16	a	a	DET
cana-3142	122	17	90	90	NUM
cana-3142	122	18	%	%	NOUN
cana-3142	122	19	confidence	confidence	NOUN
cana-3142	122	20	range	range	NOUN
cana-3142	122	21	.	.	PUNCT
cana-3142	123	1	communications	communication	NOUN
cana-3142	123	2	on	on	ADP
cana-3142	123	3	applied	apply	VERB
cana-3142	123	4	nonlinear	nonlinear	ADJ
cana-3142	123	5	analysis	analysis	NOUN
cana-3142	123	6	issn	issn	NOUN
cana-3142	123	7	:	:	PUNCT
cana-3142	123	8	1074	1074	NUM
cana-3142	123	9	-	-	PUNCT
cana-3142	123	10	133x	133x	NUM
cana-3142	123	11	vol	vol	NOUN
cana-3142	123	12	32	32	NUM
cana-3142	123	13	no	no	NOUN
cana-3142	123	14	.	.	PUNCT
cana-3142	124	1	5s	5s	NUM
cana-3142	124	2	(	(	PUNCT
cana-3142	124	3	2025	2025	NUM
cana-3142	124	4	)	)	PUNCT
cana-3142	124	5	449	449	NUM
cana-3142	124	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	124	7	figure	figure	NOUN
cana-3142	124	8	3	3	NUM
cana-3142	124	9	projected	project	VERB
cana-3142	124	10	values	value	NOUN
cana-3142	124	11	are	be	AUX
cana-3142	124	12	well	well	ADV
cana-3142	124	13	-	-	PUNCT
cana-3142	124	14	fitting	fitting	ADJ
cana-3142	124	15	with	with	ADP
cana-3142	124	16	range	range	NOUN
cana-3142	124	17	figure	figure	NOUN
cana-3142	124	18	4	4	NUM
cana-3142	124	19	shows	show	VERB
cana-3142	124	20	two	two	NUM
cana-3142	124	21	of	of	ADP
cana-3142	124	22	the	the	DET
cana-3142	124	23	six	six	NUM
cana-3142	124	24	rules	rule	NOUN
cana-3142	124	25	illustrated	illustrate	VERB
cana-3142	124	26	;	;	PUNCT
cana-3142	124	27	the	the	DET
cana-3142	124	28	shaded	shaded	ADJ
cana-3142	124	29	region	region	NOUN
cana-3142	124	30	represents	represent	VERB
cana-3142	124	31	the	the	DET
cana-3142	124	32	footprint	footprint	NOUN
cana-3142	124	33	of	of	ADP
cana-3142	124	34	uncertainty	uncertainty	NOUN
cana-3142	124	35	,	,	PUNCT
cana-3142	124	36	and	and	CCONJ
cana-3142	124	37	the	the	DET
cana-3142	124	38	following	follow	VERB
cana-3142	124	39	are	be	AUX
cana-3142	124	40	some	some	DET
cana-3142	124	41	possible	possible	ADJ
cana-3142	124	42	language	language	NOUN
cana-3142	124	43	forms	form	NOUN
cana-3142	124	44	of	of	ADP
cana-3142	124	45	these	these	DET
cana-3142	124	46	rules	rule	NOUN
cana-3142	124	47	:	:	PUNCT
cana-3142	124	48	•	•	NUM
cana-3142	124	49	first	first	ADJ
cana-3142	124	50	rule	rule	NOUN
cana-3142	124	51	:	:	PUNCT
cana-3142	124	52	a	a	DET
cana-3142	124	53	medium	medium	ADJ
cana-3142	124	54	cutting	cut	VERB
cana-3142	124	55	power	power	NOUN
cana-3142	124	56	is	be	AUX
cana-3142	124	57	required	require	VERB
cana-3142	124	58	in	in	ADP
cana-3142	124	59	the	the	DET
cana-3142	124	60	absence	absence	NOUN
cana-3142	124	61	of	of	ADP
cana-3142	124	62	cutting	cut	VERB
cana-3142	124	63	fluid	fluid	NOUN
cana-3142	124	64	,	,	PUNCT
cana-3142	124	65	with	with	ADP
cana-3142	124	66	a	a	DET
cana-3142	124	67	medium	medium	ADJ
cana-3142	124	68	cutting	cut	VERB
cana-3142	124	69	speed	speed	NOUN
cana-3142	124	70	,	,	PUNCT
cana-3142	124	71	a	a	DET
cana-3142	124	72	modest	modest	ADJ
cana-3142	124	73	feed	feed	NOUN
cana-3142	124	74	rate	rate	NOUN
cana-3142	124	75	,	,	PUNCT
cana-3142	124	76	and	and	CCONJ
cana-3142	124	77	a	a	DET
cana-3142	124	78	shallow	shallow	ADJ
cana-3142	124	79	depth	depth	NOUN
cana-3142	124	80	of	of	ADP
cana-3142	124	81	cut	cut	NOUN
cana-3142	124	82	.	.	PUNCT
cana-3142	125	1	•	•	NUM
cana-3142	125	2	second	second	ADJ
cana-3142	125	3	rule	rule	NOUN
cana-3142	125	4	:	:	PUNCT
cana-3142	125	5	with	with	ADP
cana-3142	125	6	cutting	cut	VERB
cana-3142	125	7	fluid	fluid	NOUN
cana-3142	125	8	,	,	PUNCT
cana-3142	125	9	a	a	DET
cana-3142	125	10	high	high	ADJ
cana-3142	125	11	feed	feed	NOUN
cana-3142	125	12	rate	rate	NOUN
cana-3142	125	13	,	,	PUNCT
cana-3142	125	14	a	a	DET
cana-3142	125	15	medium	medium	ADJ
cana-3142	125	16	depth	depth	NOUN
cana-3142	125	17	of	of	ADP
cana-3142	125	18	cut	cut	NOUN
cana-3142	125	19	,	,	PUNCT
cana-3142	125	20	and	and	CCONJ
cana-3142	125	21	a	a	DET
cana-3142	125	22	high	high	ADJ
cana-3142	125	23	cutting	cutting	NOUN
cana-3142	125	24	speed	speed	NOUN
cana-3142	125	25	,	,	PUNCT
cana-3142	125	26	the	the	DET
cana-3142	125	27	cutting	cut	VERB
cana-3142	125	28	force	force	NOUN
cana-3142	125	29	must	must	AUX
cana-3142	125	30	be	be	AUX
cana-3142	125	31	high	high	ADJ
cana-3142	125	32	.	.	PUNCT
cana-3142	126	1	using	use	VERB
cana-3142	126	2	two	two	NUM
cana-3142	126	3	parameters	parameter	NOUN
cana-3142	126	4	simultaneously	simultaneously	ADV
cana-3142	126	5	,	,	PUNCT
cana-3142	126	6	figure	figure	VERB
cana-3142	126	7	5	5	NUM
cana-3142	126	8	shows	show	VERB
cana-3142	126	9	examples	example	NOUN
cana-3142	126	10	of	of	ADP
cana-3142	126	11	the	the	DET
cana-3142	126	12	cutting	cut	VERB
cana-3142	126	13	force	force	NOUN
cana-3142	126	14	's	's	PART
cana-3142	126	15	reaction	reaction	NOUN
cana-3142	126	16	surfaces	surface	NOUN
cana-3142	126	17	.	.	PUNCT
cana-3142	127	1	the	the	DET
cana-3142	127	2	force	force	NOUN
cana-3142	127	3	that	that	PRON
cana-3142	127	4	cuts	cut	NOUN
cana-3142	127	5	is	be	AUX
cana-3142	127	6	not	not	PART
cana-3142	127	7	a	a	DET
cana-3142	127	8	linear	linear	ADJ
cana-3142	127	9	relationship	relationship	NOUN
cana-3142	127	10	between	between	ADP
cana-3142	127	11	speed	speed	NOUN
cana-3142	127	12	of	of	ADP
cana-3142	127	13	cutting	cutting	NOUN
cana-3142	127	14	,	,	PUNCT
cana-3142	127	15	depth	depth	NOUN
cana-3142	127	16	of	of	ADP
cana-3142	127	17	cut	cut	NOUN
cana-3142	127	18	,	,	PUNCT
cana-3142	127	19	and	and	CCONJ
cana-3142	127	20	feed	feed	NOUN
cana-3142	127	21	rate	rate	NOUN
cana-3142	127	22	.	.	PUNCT
cana-3142	128	1	additionally	additionally	ADV
cana-3142	128	2	,	,	PUNCT
cana-3142	128	3	it	it	PRON
cana-3142	128	4	is	be	AUX
cana-3142	128	5	observed	observe	VERB
cana-3142	128	6	that	that	SCONJ
cana-3142	128	7	the	the	DET
cana-3142	128	8	force	force	NOUN
cana-3142	128	9	of	of	ADP
cana-3142	128	10	cutting	cut	VERB
cana-3142	128	11	is	be	AUX
cana-3142	128	12	minimal	minimal	ADJ
cana-3142	128	13	at	at	ADP
cana-3142	128	14	low	low	ADJ
cana-3142	128	15	depths	depth	NOUN
cana-3142	128	16	of	of	ADP
cana-3142	128	17	cut	cut	NOUN
cana-3142	128	18	and	and	CCONJ
cana-3142	128	19	fast	fast	ADJ
cana-3142	128	20	cutting	cutting	NOUN
cana-3142	128	21	speeds	speed	NOUN
cana-3142	128	22	,	,	PUNCT
cana-3142	128	23	but	but	CCONJ
cana-3142	128	24	it	it	PRON
cana-3142	128	25	grows	grow	VERB
cana-3142	128	26	as	as	ADP
cana-3142	128	27	the	the	DET
cana-3142	128	28	length	length	NOUN
cana-3142	128	29	of	of	ADP
cana-3142	128	30	cut	cut	VERB
cana-3142	128	31	increases	increase	NOUN
cana-3142	128	32	.	.	PUNCT
cana-3142	129	1	additionally	additionally	ADV
cana-3142	129	2	,	,	PUNCT
cana-3142	129	3	the	the	DET
cana-3142	129	4	cutting	cut	VERB
cana-3142	129	5	force	force	NOUN
cana-3142	129	6	reaches	reach	VERB
cana-3142	129	7	saturation	saturation	NOUN
cana-3142	129	8	at	at	ADP
cana-3142	129	9	a	a	DET
cana-3142	129	10	low	low	ADJ
cana-3142	129	11	feed	feed	NOUN
cana-3142	129	12	rate	rate	NOUN
cana-3142	129	13	when	when	SCONJ
cana-3142	129	14	the	the	DET
cana-3142	129	15	depth	depth	NOUN
cana-3142	129	16	of	of	ADP
cana-3142	129	17	cut	cut	NOUN
cana-3142	129	18	is	be	AUX
cana-3142	129	19	between	between	ADP
cana-3142	129	20	0.16	0.16	NUM
cana-3142	129	21	mm	mm	NOUN
cana-3142	129	22	and	and	CCONJ
cana-3142	129	23	0.3	0.3	NUM
cana-3142	129	24	mm	mm	NOUN
cana-3142	129	25	.	.	PUNCT
cana-3142	130	1	furthermore	furthermore	ADV
cana-3142	130	2	,	,	PUNCT
cana-3142	130	3	when	when	SCONJ
cana-3142	130	4	the	the	DET
cana-3142	130	5	rate	rate	NOUN
cana-3142	130	6	of	of	ADP
cana-3142	130	7	feed	feed	NOUN
cana-3142	130	8	and	and	CCONJ
cana-3142	130	9	the	the	DET
cana-3142	130	10	level	level	NOUN
cana-3142	130	11	of	of	ADP
cana-3142	130	12	cut	cut	NOUN
cana-3142	130	13	are	be	AUX
cana-3142	130	14	both	both	PRON
cana-3142	130	15	set	set	VERB
cana-3142	130	16	to	to	ADP
cana-3142	130	17	high	high	ADJ
cana-3142	130	18	levels	level	NOUN
cana-3142	130	19	,	,	PUNCT
cana-3142	130	20	a	a	DET
cana-3142	130	21	significant	significant	ADJ
cana-3142	130	22	amount	amount	NOUN
cana-3142	130	23	of	of	ADP
cana-3142	130	24	cutting	cut	VERB
cana-3142	130	25	force	force	NOUN
cana-3142	130	26	is	be	AUX
cana-3142	130	27	seen	see	VERB
cana-3142	130	28	.	.	PUNCT
cana-3142	131	1	communications	communication	NOUN
cana-3142	131	2	on	on	ADP
cana-3142	131	3	applied	apply	VERB
cana-3142	131	4	nonlinear	nonlinear	ADJ
cana-3142	131	5	analysis	analysis	NOUN
cana-3142	131	6	issn	issn	NOUN
cana-3142	131	7	:	:	PUNCT
cana-3142	131	8	1074	1074	NUM
cana-3142	131	9	-	-	PUNCT
cana-3142	131	10	133x	133x	NUM
cana-3142	131	11	vol	vol	NOUN
cana-3142	131	12	32	32	NUM
cana-3142	131	13	no	no	NOUN
cana-3142	131	14	.	.	PUNCT
cana-3142	132	1	5s	5s	NUM
cana-3142	132	2	(	(	PUNCT
cana-3142	132	3	2025	2025	NUM
cana-3142	132	4	)	)	PUNCT
cana-3142	132	5	450	450	NUM
cana-3142	132	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3142	132	7	figure	figure	NOUN
cana-3142	132	8	4	4	NUM
cana-3142	132	9	two	two	NUM
cana-3142	132	10	of	of	ADP
cana-3142	132	11	the	the	DET
cana-3142	132	12	six	six	NUM
cana-3142	132	13	rules	rule	NOUN
cana-3142	132	14	figure	figure	VERB
cana-3142	132	15	5	5	NUM
cana-3142	132	16	examples	example	NOUN
cana-3142	132	17	of	of	ADP
cana-3142	132	18	cutting	cut	VERB
cana-3142	132	19	force	force	NOUN
cana-3142	132	20	's	's	PART
cana-3142	132	21	reaction	reaction	NOUN
cana-3142	132	22	surfaces	surface	NOUN
cana-3142	132	23	similarly	similarly	ADV
cana-3142	132	24	,	,	PUNCT
cana-3142	132	25	the	the	DET
cana-3142	132	26	it2fls	it2fls	PROPN
cana-3142	132	27	was	be	AUX
cana-3142	132	28	used	use	VERB
cana-3142	132	29	to	to	PART
cana-3142	132	30	forecast	forecast	VERB
cana-3142	132	31	the	the	DET
cana-3142	132	32	machinable	machinable	ADJ
cana-3142	132	33	part	part	NOUN
cana-3142	132	34	's	's	PART
cana-3142	132	35	quality	quality	NOUN
cana-3142	132	36	,	,	PUNCT
cana-3142	132	37	which	which	PRON
cana-3142	132	38	is	be	AUX
cana-3142	132	39	reflected	reflect	VERB
cana-3142	132	40	in	in	ADP
cana-3142	132	41	the	the	DET
cana-3142	132	42	ra	ra	PROPN
cana-3142	132	43	value	value	NOUN
cana-3142	132	44	for	for	ADP
cana-3142	132	45	surface	surface	NOUN
cana-3142	132	46	roughness	roughness	NOUN
cana-3142	132	47	.	.	PUNCT
cana-3142	133	1	figure	figure	NOUN
cana-3142	133	2	6	6	NUM
cana-3142	133	3	displays	display	VERB
cana-3142	133	4	the	the	DET
cana-3142	133	5	it2fls	it2fls	PROPN
cana-3142	133	6	performance	performance	NOUN
cana-3142	133	7	for	for	ADP
cana-3142	133	8	the	the	DET
cana-3142	133	9	ra	ra	PROPN
cana-3142	133	10	values	value	NOUN
cana-3142	133	11	using	use	VERB
cana-3142	133	12	eight	eight	NUM
cana-3142	133	13	rules	rule	NOUN
cana-3142	133	14	.	.	PUNCT
cana-3142	134	1	the	the	DET
cana-3142	134	2	results	result	NOUN
cana-3142	134	3	are	be	AUX
cana-3142	134	4	shown	show	VERB
cana-3142	134	5	using	use	VERB
cana-3142	134	6	rmse	rmse	NOUN
cana-3142	134	7	and	and	CCONJ
cana-3142	134	8	r2	r2	PROPN
cana-3142	134	9	(	(	PUNCT
cana-3142	134	10	training	training	NOUN
cana-3142	134	11	,	,	PUNCT
cana-3142	134	12	testing	testing	NOUN
cana-3142	134	13	)	)	PUNCT
cana-3142	134	14	.	.	PUNCT
cana-3142	135	1	because	because	SCONJ
cana-3142	135	2	surface	surface	NOUN
cana-3142	135	3	roughness	roughness	NOUN
cana-3142	135	4	measurements	measurement	NOUN
cana-3142	135	5	are	be	AUX
cana-3142	135	6	fraught	fraught	ADJ
cana-3142	135	7	with	with	ADP
cana-3142	135	8	uncertainty	uncertainty	NOUN
cana-3142	135	9	,	,	PUNCT
cana-3142	135	10	it	it	PRON
cana-3142	135	11	is	be	AUX
cana-3142	135	12	clear	clear	ADJ
cana-3142	135	13	that	that	SCONJ
cana-3142	135	14	performance	performance	NOUN
cana-3142	135	15	metrics	metric	NOUN
cana-3142	135	16	for	for	ADP
cana-3142	135	17	this	this	DET
cana-3142	135	18	parameter	parameter	NOUN
cana-3142	135	19	are	be	AUX
cana-3142	135	20	inferior	inferior	ADJ
cana-3142	135	21	to	to	ADP
cana-3142	135	22	those	those	PRON
cana-3142	135	23	for	for	ADP
cana-3142	135	24	cutting	cut	VERB
cana-3142	135	25	force	force	NOUN
cana-3142	135	26	.	.	PUNCT
cana-3142	136	1	figure	figure	VERB
cana-3142	136	2	6	6	NUM
cana-3142	136	3	it2fls	it2fls	PROPN
cana-3142	136	4	performance	performance	NOUN
cana-3142	136	5	for	for	ADP
cana-3142	136	6	ra	ra	PROPN
cana-3142	136	7	values	value	NOUN
cana-3142	136	8	using	use	VERB
cana-3142	136	9	eight	eight	NUM
cana-3142	136	10	rules	rule	NOUN
cana-3142	136	11	4	4	NUM
cana-3142	136	12	.	.	PUNCT
cana-3142	136	13	a	a	DET
cana-3142	136	14	model	model	NOUN
cana-3142	136	15	for	for	ADP
cana-3142	136	16	a	a	DET
cana-3142	136	17	gaussian	gaussian	ADJ
cana-3142	136	18	mixture	mixture	NOUN
cana-3142	136	19	4.1	4.1	NUM
cana-3142	136	20	the	the	DET
cana-3142	136	21	development	development	NOUN
cana-3142	136	22	of	of	ADP
cana-3142	136	23	models	model	NOUN
cana-3142	136	24	assumption	assumption	NOUN
cana-3142	136	25	of	of	ADP
cana-3142	136	26	normally	normally	ADV
cana-3142	136	27	distributed	distribute	VERB
cana-3142	136	28	collection	collection	NOUN
cana-3142	136	29	of	of	ADP
cana-3142	136	30	error	error	NOUN
cana-3142	136	31	residuals	residual	NOUN
cana-3142	136	32	is	be	AUX
cana-3142	136	33	the	the	DET
cana-3142	136	34	basis	basis	NOUN
cana-3142	136	35	of	of	ADP
cana-3142	136	36	most	most	ADJ
cana-3142	136	37	modelling	modelling	ADJ
cana-3142	136	38	paradigms	paradigm	NOUN
cana-3142	136	39	,	,	PUNCT
cana-3142	136	40	including	include	VERB
cana-3142	136	41	t2fls	t2fls	NOUN
cana-3142	136	42	and	and	CCONJ
cana-3142	136	43	t1fls	t1fls	NUM
cana-3142	136	44	.	.	PUNCT
cana-3142	137	1	this	this	DET
cana-3142	137	2	assumption	assumption	NOUN
cana-3142	137	3	could	could	AUX
cana-3142	137	4	not	not	PART
cana-3142	137	5	hold	hold	VERB
cana-3142	137	6	water	water	NOUN
cana-3142	137	7	in	in	ADP
cana-3142	137	8	real	real	ADJ
cana-3142	137	9	-	-	PUNCT
cana-3142	137	10	world	world	NOUN
cana-3142	137	11	communications	communication	NOUN
cana-3142	137	12	on	on	ADP
cana-3142	137	13	applied	apply	VERB
cana-3142	137	14	nonlinear	nonlinear	ADJ
cana-3142	137	15	analysis	analysis	NOUN
cana-3142	137	16	issn	issn	NOUN
cana-3142	137	17	:	:	PUNCT
cana-3142	137	18	1074	1074	NUM
cana-3142	137	19	-	-	PUNCT
cana-3142	137	20	133x	133x	NUM
cana-3142	137	21	vol	vol	NOUN
cana-3142	137	22	32	32	NUM
cana-3142	137	23	no	no	NOUN
cana-3142	137	24	.	.	PUNCT
cana-3142	138	1	5s	5s	NUM
cana-3142	138	2	(	(	PUNCT
cana-3142	138	3	2025	2025	NUM
cana-3142	138	4	)	)	PUNCT
cana-3142	138	5	451	451	NUM
cana-3142	138	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	138	7	applications	application	NOUN
cana-3142	138	8	containing	contain	VERB
cana-3142	138	9	noise	noise	NOUN
cana-3142	138	10	non	non	ADJ
cana-3142	138	11	-	-	ADJ
cana-3142	138	12	measurable	measurable	ADJ
cana-3142	138	13	or	or	CCONJ
cana-3142	138	14	measurable	measurable	ADJ
cana-3142	138	15	elements	element	NOUN
cana-3142	138	16	;	;	PUNCT
cana-3142	138	17	hence	hence	ADV
cana-3142	138	18	,	,	PUNCT
cana-3142	138	19	it	it	PRON
cana-3142	138	20	might	might	AUX
cana-3142	138	21	cause	cause	VERB
cana-3142	138	22	a	a	DET
cana-3142	138	23	paradigm	paradigm	NOUN
cana-3142	138	24	to	to	PART
cana-3142	138	25	have	have	AUX
cana-3142	138	26	less	less	ADJ
cana-3142	138	27	-	-	PUNCT
cana-3142	138	28	than	than	ADP
cana-3142	138	29	-	-	PUNCT
cana-3142	138	30	ideal	ideal	ADJ
cana-3142	138	31	parameters	parameter	NOUN
cana-3142	138	32	and	and	CCONJ
cana-3142	138	33	lead	lead	VERB
cana-3142	138	34	to	to	ADP
cana-3142	138	35	the	the	DET
cana-3142	138	36	loss	loss	NOUN
cana-3142	138	37	of	of	ADP
cana-3142	138	38	important	important	ADJ
cana-3142	138	39	information	information	NOUN
cana-3142	138	40	.	.	PUNCT
cana-3142	139	1	consequently	consequently	ADV
cana-3142	139	2	,	,	PUNCT
cana-3142	139	3	several	several	ADJ
cana-3142	139	4	modelling	modelling	NOUN
cana-3142	139	5	techniques	technique	NOUN
cana-3142	139	6	have	have	AUX
cana-3142	139	7	been	be	AUX
cana-3142	139	8	developed	develop	VERB
cana-3142	139	9	and	and	CCONJ
cana-3142	139	10	used	use	VERB
cana-3142	139	11	so	so	ADV
cana-3142	139	12	far	far	ADV
cana-3142	139	13	to	to	PART
cana-3142	139	14	extract	extract	VERB
cana-3142	139	15	this	this	DET
cana-3142	139	16	useful	useful	ADJ
cana-3142	139	17	information	information	NOUN
cana-3142	139	18	and	and	CCONJ
cana-3142	139	19	enhance	enhance	VERB
cana-3142	139	20	the	the	DET
cana-3142	139	21	accuracy	accuracy	NOUN
cana-3142	139	22	of	of	ADP
cana-3142	139	23	the	the	DET
cana-3142	139	24	models	model	NOUN
cana-3142	139	25	by	by	ADP
cana-3142	139	26	describing	describe	VERB
cana-3142	139	27	the	the	DET
cana-3142	139	28	residuals	residual	NOUN
cana-3142	139	29	of	of	ADP
cana-3142	139	30	the	the	DET
cana-3142	139	31	errors	error	NOUN
cana-3142	139	32	.	.	PUNCT
cana-3142	140	1	to	to	PART
cana-3142	140	2	improve	improve	VERB
cana-3142	140	3	a	a	DET
cana-3142	140	4	model	model	NOUN
cana-3142	140	5	's	's	PART
cana-3142	140	6	predictive	predictive	ADJ
cana-3142	140	7	capabilities	capability	NOUN
cana-3142	140	8	,	,	PUNCT
cana-3142	140	9	for	for	ADP
cana-3142	140	10	example	example	NOUN
cana-3142	140	11	,	,	PUNCT
cana-3142	140	12	by	by	ADP
cana-3142	140	13	offering	offer	VERB
cana-3142	140	14	a	a	DET
cana-3142	140	15	more	more	ADV
cana-3142	140	16	thorough	thorough	ADJ
cana-3142	140	17	understanding	understanding	NOUN
cana-3142	140	18	of	of	ADP
cana-3142	140	19	the	the	DET
cana-3142	140	20	density	density	NOUN
cana-3142	140	21	function	function	NOUN
cana-3142	140	22	,	,	PUNCT
cana-3142	140	23	the	the	DET
cana-3142	140	24	probabilistic	probabilistic	ADJ
cana-3142	140	25	gaussian	gaussian	ADJ
cana-3142	140	26	mixture	mixture	NOUN
cana-3142	140	27	model	model	NOUN
cana-3142	140	28	(	(	PUNCT
cana-3142	140	29	gmm	gmm	NOUN
cana-3142	140	30	)	)	PUNCT
cana-3142	140	31	has	have	AUX
cana-3142	140	32	been	be	AUX
cana-3142	140	33	used	use	VERB
cana-3142	140	34	.	.	PUNCT
cana-3142	141	1	this	this	DET
cana-3142	141	2	model	model	NOUN
cana-3142	141	3	is	be	AUX
cana-3142	141	4	often	often	ADV
cana-3142	141	5	expressed	express	VERB
cana-3142	141	6	as	as	ADP
cana-3142	141	7	a	a	DET
cana-3142	141	8	linear	linear	ADJ
cana-3142	141	9	amalgamation	amalgamation	NOUN
cana-3142	141	10	of	of	ADP
cana-3142	141	11	many	many	ADJ
cana-3142	141	12	gaussian	gaussian	ADJ
cana-3142	141	13	components	component	NOUN
cana-3142	141	14	.	.	PUNCT
cana-3142	142	1	while	while	SCONJ
cana-3142	142	2	the	the	DET
cana-3142	142	3	gmm	gmm	NOUN
cana-3142	142	4	method	method	NOUN
cana-3142	142	5	and	and	CCONJ
cana-3142	142	6	all	all	PRON
cana-3142	142	7	of	of	ADP
cana-3142	142	8	the	the	DET
cana-3142	142	9	other	other	ADJ
cana-3142	142	10	given	give	VERB
cana-3142	142	11	algorithms	algorithm	NOUN
cana-3142	142	12	in	in	ADP
cana-3142	142	13	fuzzy	fuzzy	ADJ
cana-3142	142	14	logic	logic	NOUN
cana-3142	142	15	systems	system	NOUN
cana-3142	142	16	alter	alter	VERB
cana-3142	142	17	the	the	DET
cana-3142	142	18	anticipated	anticipate	VERB
cana-3142	142	19	output	output	NOUN
cana-3142	142	20	values	value	NOUN
cana-3142	142	21	,	,	PUNCT
cana-3142	142	22	they	they	PRON
cana-3142	142	23	do	do	AUX
cana-3142	142	24	not	not	PART
cana-3142	142	25	alter	alter	VERB
cana-3142	142	26	the	the	DET
cana-3142	142	27	extracted	extract	VERB
cana-3142	142	28	rules	rule	NOUN
cana-3142	142	29	.	.	PUNCT
cana-3142	143	1	as	as	ADP
cana-3142	143	2	a	a	DET
cana-3142	143	3	result	result	NOUN
cana-3142	143	4	,	,	PUNCT
cana-3142	143	5	the	the	DET
cana-3142	143	6	process	process	NOUN
cana-3142	143	7	being	be	AUX
cana-3142	143	8	studied	study	VERB
cana-3142	143	9	can	can	AUX
cana-3142	143	10	no	no	ADV
cana-3142	143	11	longer	long	ADV
cana-3142	143	12	be	be	AUX
cana-3142	143	13	represented	represent	VERB
cana-3142	143	14	by	by	ADP
cana-3142	143	15	these	these	DET
cana-3142	143	16	rules	rule	NOUN
cana-3142	143	17	.	.	PUNCT
cana-3142	144	1	as	as	ADP
cana-3142	144	2	a	a	DET
cana-3142	144	3	result	result	NOUN
cana-3142	144	4	,	,	PUNCT
cana-3142	144	5	the	the	DET
cana-3142	144	6	gmm	gmm	NOUN
cana-3142	144	7	is	be	AUX
cana-3142	144	8	integrated	integrate	VERB
cana-3142	144	9	into	into	ADP
cana-3142	144	10	the	the	DET
cana-3142	144	11	fuzzy	fuzzy	ADJ
cana-3142	144	12	logic	logic	NOUN
cana-3142	144	13	framework	framework	NOUN
cana-3142	144	14	in	in	ADP
cana-3142	144	15	this	this	DET
cana-3142	144	16	study	study	NOUN
cana-3142	144	17	,	,	PUNCT
cana-3142	144	18	which	which	PRON
cana-3142	144	19	improves	improve	VERB
cana-3142	144	20	the	the	DET
cana-3142	144	21	derived	derive	VERB
cana-3142	144	22	rules	rule	NOUN
cana-3142	144	23	'	'	PART
cana-3142	144	24	informativeness	informativeness	NOUN
cana-3142	144	25	.	.	PUNCT
cana-3142	145	1	since	since	SCONJ
cana-3142	145	2	the	the	DET
cana-3142	145	3	gmm	gmm	PROPN
cana-3142	145	4	uses	use	VERB
cana-3142	145	5	the	the	DET
cana-3142	145	6	optimal	optimal	ADJ
cana-3142	145	7	number	number	NOUN
cana-3142	145	8	of	of	ADP
cana-3142	145	9	gaussian	gaussian	ADJ
cana-3142	145	10	components	component	NOUN
cana-3142	145	11	to	to	PART
cana-3142	145	12	rationally	rationally	ADV
cana-3142	145	13	express	express	VERB
cana-3142	145	14	the	the	DET
cana-3142	145	15	probability	probability	NOUN
cana-3142	145	16	density	density	NOUN
cana-3142	145	17	function	function	NOUN
cana-3142	145	18	,	,	PUNCT
cana-3142	145	19	it	it	PRON
cana-3142	145	20	was	be	AUX
cana-3142	145	21	chosen	choose	VERB
cana-3142	145	22	for	for	ADP
cana-3142	145	23	implementation	implementation	NOUN
cana-3142	145	24	.	.	PUNCT
cana-3142	146	1	figure	figure	NOUN
cana-3142	146	2	7	7	NUM
cana-3142	146	3	shows	show	VERB
cana-3142	146	4	a	a	DET
cana-3142	146	5	schematic	schematic	ADJ
cana-3142	146	6	representation	representation	NOUN
cana-3142	146	7	of	of	ADP
cana-3142	146	8	the	the	DET
cana-3142	146	9	it2fls	it2fls	PROPN
cana-3142	146	10	as	as	ADV
cana-3142	146	11	well	well	ADV
cana-3142	146	12	as	as	SCONJ
cana-3142	146	13	gmm	gmm	PRON
cana-3142	146	14	being	be	AUX
cana-3142	146	15	integrated	integrate	VERB
cana-3142	146	16	.	.	PUNCT
cana-3142	147	1	figure	figure	VERB
cana-3142	147	2	7	7	NUM
cana-3142	147	3	schematic	schematic	ADJ
cana-3142	147	4	representation	representation	NOUN
cana-3142	147	5	of	of	ADP
cana-3142	147	6	the	the	DET
cana-3142	147	7	it2fls	it2fls	PROPN
cana-3142	147	8	as	as	ADV
cana-3142	147	9	well	well	ADV
cana-3142	147	10	as	as	SCONJ
cana-3142	147	11	gmm	gmm	PRON
cana-3142	147	12	figure	figure	VERB
cana-3142	147	13	7	7	NUM
cana-3142	147	14	shows	show	VERB
cana-3142	147	15	that	that	SCONJ
cana-3142	147	16	the	the	DET
cana-3142	147	17	first	first	ADJ
cana-3142	147	18	stage	stage	NOUN
cana-3142	147	19	in	in	ADP
cana-3142	147	20	incorporating	incorporate	VERB
cana-3142	147	21	such	such	DET
cana-3142	147	22	a	a	DET
cana-3142	147	23	system	system	NOUN
cana-3142	147	24	is	be	AUX
cana-3142	147	25	to	to	PART
cana-3142	147	26	choose	choose	VERB
cana-3142	147	27	the	the	DET
cana-3142	147	28	input	input	NOUN
cana-3142	147	29	variables	variable	NOUN
cana-3142	147	30	that	that	PRON
cana-3142	147	31	will	will	AUX
cana-3142	147	32	be	be	AUX
cana-3142	147	33	used	use	VERB
cana-3142	147	34	to	to	PART
cana-3142	147	35	describe	describe	VERB
cana-3142	147	36	the	the	DET
cana-3142	147	37	mistake	mistake	NOUN
cana-3142	147	38	.	.	PUNCT
cana-3142	148	1	after	after	ADP
cana-3142	148	2	that	that	PRON
cana-3142	148	3	,	,	PUNCT
cana-3142	148	4	we	we	PRON
cana-3142	148	5	optimize	optimize	VERB
cana-3142	148	6	the	the	DET
cana-3142	148	7	famous	famous	ADJ
cana-3142	148	8	log	log	NOUN
cana-3142	148	9	-	-	PUNCT
cana-3142	148	10	likelihood	likelihood	NOUN
cana-3142	148	11	function	function	NOUN
cana-3142	148	12	to	to	PART
cana-3142	148	13	find	find	VERB
cana-3142	148	14	the	the	DET
cana-3142	148	15	best	good	ADJ
cana-3142	148	16	values	value	NOUN
cana-3142	148	17	for	for	ADP
cana-3142	148	18	the	the	DET
cana-3142	148	19	gmm	gmm	PROPN
cana-3142	148	20	's	's	PART
cana-3142	148	21	parameters	parameter	NOUN
cana-3142	148	22	,	,	PUNCT
cana-3142	148	23	which	which	PRON
cana-3142	148	24	are	be	AUX
cana-3142	148	25	the	the	DET
cana-3142	148	26	covariance	covariance	NOUN
cana-3142	148	27	,	,	PUNCT
cana-3142	148	28	mean	mean	VERB
cana-3142	148	29	,	,	PUNCT
cana-3142	148	30	and	and	CCONJ
cana-3142	148	31	mixing	mix	VERB
cana-3142	148	32	factor	factor	NOUN
cana-3142	148	33	for	for	ADP
cana-3142	148	34	every	every	DET
cana-3142	148	35	gaussian	gaussian	ADJ
cana-3142	148	36	component	component	NOUN
cana-3142	148	37	.	.	PUNCT
cana-3142	149	1	numerical	numerical	ADJ
cana-3142	149	2	approaches	approach	NOUN
cana-3142	149	3	may	may	AUX
cana-3142	149	4	be	be	AUX
cana-3142	149	5	used	use	VERB
cana-3142	149	6	to	to	PART
cana-3142	149	7	estimate	estimate	VERB
cana-3142	149	8	the	the	DET
cana-3142	149	9	standard	standard	ADJ
cana-3142	149	10	deviation	deviation	NOUN
cana-3142	149	11	and	and	CCONJ
cana-3142	149	12	the	the	DET
cana-3142	149	13	conditional	conditional	ADJ
cana-3142	149	14	error	error	NOUN
cana-3142	149	15	mean	mean	NOUN
cana-3142	149	16	.	.	PUNCT
cana-3142	150	1	the	the	DET
cana-3142	150	2	gmm	gmm	PROPN
cana-3142	150	3	method	method	NOUN
cana-3142	150	4	can	can	AUX
cana-3142	150	5	account	account	VERB
cana-3142	150	6	for	for	ADP
cana-3142	150	7	bias	bias	NOUN
cana-3142	150	8	by	by	ADP
cana-3142	150	9	adding	add	VERB
cana-3142	150	10	the	the	DET
cana-3142	150	11	optimum	optimum	ADJ
cana-3142	150	12	conditional	conditional	ADJ
cana-3142	150	13	mean	mean	NOUN
cana-3142	150	14	value	value	NOUN
cana-3142	150	15	,	,	PUNCT
cana-3142	150	16	which	which	PRON
cana-3142	150	17	indicates	indicate	VERB
cana-3142	150	18	the	the	DET
cana-3142	150	19	presence	presence	NOUN
cana-3142	150	20	of	of	ADP
cana-3142	150	21	bias	bias	NOUN
cana-3142	150	22	,	,	PUNCT
cana-3142	150	23	to	to	ADP
cana-3142	150	24	the	the	DET
cana-3142	150	25	subsequent	subsequent	ADJ
cana-3142	150	26	mean	mean	NOUN
cana-3142	150	27	of	of	ADP
cana-3142	150	28	the	the	DET
cana-3142	150	29	linked	link	VERB
cana-3142	150	30	rule	rule	NOUN
cana-3142	150	31	.	.	PUNCT
cana-3142	151	1	the	the	DET
cana-3142	151	2	defuzzification	defuzzification	NOUN
cana-3142	151	3	technique	technique	NOUN
cana-3142	151	4	is	be	AUX
cana-3142	151	5	then	then	ADV
cana-3142	151	6	used	use	VERB
cana-3142	151	7	to	to	PART
cana-3142	151	8	get	get	VERB
cana-3142	151	9	a	a	DET
cana-3142	151	10	clean	clean	ADJ
cana-3142	151	11	output	output	NOUN
cana-3142	151	12	after	after	ADP
cana-3142	151	13	this	this	DET
cana-3142	151	14	stage	stage	NOUN
cana-3142	151	15	.	.	PUNCT
cana-3142	152	1	4.2	4.2	NUM
cana-3142	152	2	results	result	NOUN
cana-3142	152	3	and	and	CCONJ
cana-3142	152	4	discussion	discussion	NOUN
cana-3142	152	5	the	the	DET
cana-3142	152	6	it2fls	it2fls	PROPN
cana-3142	152	7	was	be	AUX
cana-3142	152	8	developed	develop	VERB
cana-3142	152	9	and	and	CCONJ
cana-3142	152	10	optimized	optimize	VERB
cana-3142	152	11	with	with	ADP
cana-3142	152	12	the	the	DET
cana-3142	152	13	primary	primary	ADJ
cana-3142	152	14	impacts	impact	NOUN
cana-3142	152	15	of	of	ADP
cana-3142	152	16	the	the	DET
cana-3142	152	17	process	process	NOUN
cana-3142	152	18	factors	factor	NOUN
cana-3142	152	19	under	under	ADP
cana-3142	152	20	investigation	investigation	NOUN
cana-3142	152	21	in	in	ADP
cana-3142	152	22	mind	mind	NOUN
cana-3142	152	23	.	.	PUNCT
cana-3142	153	1	to	to	PART
cana-3142	153	2	account	account	VERB
cana-3142	153	3	for	for	ADP
cana-3142	153	4	the	the	DET
cana-3142	153	5	potential	potential	ADJ
cana-3142	153	6	bias	bias	NOUN
cana-3142	153	7	caused	cause	VERB
cana-3142	153	8	by	by	ADP
cana-3142	153	9	the	the	DET
cana-3142	153	10	assumption	assumption	NOUN
cana-3142	153	11	of	of	ADP
cana-3142	153	12	error	error	NOUN
cana-3142	153	13	normalcy	normalcy	NOUN
cana-3142	153	14	,	,	PUNCT
cana-3142	153	15	the	the	DET
cana-3142	153	16	gmm	gmm	PROPN
cana-3142	153	17	method	method	NOUN
cana-3142	153	18	was	be	AUX
cana-3142	153	19	applied	apply	VERB
cana-3142	153	20	using	use	VERB
cana-3142	153	21	just	just	ADV
cana-3142	153	22	two	two	NUM
cana-3142	153	23	of	of	ADP
cana-3142	153	24	the	the	DET
cana-3142	153	25	four	four	NUM
cana-3142	153	26	variables	variable	NOUN
cana-3142	153	27	.	.	PUNCT
cana-3142	154	1	after	after	ADP
cana-3142	154	2	experimenting	experiment	VERB
cana-3142	154	3	with	with	ADP
cana-3142	154	4	several	several	ADJ
cana-3142	154	5	combinations	combination	NOUN
cana-3142	154	6	of	of	ADP
cana-3142	154	7	input	input	NOUN
cana-3142	154	8	variables	variable	NOUN
cana-3142	154	9	,	,	PUNCT
cana-3142	154	10	the	the	DET
cana-3142	154	11	one	one	NOUN
cana-3142	154	12	that	that	PRON
cana-3142	154	13	maximized	maximize	VERB
cana-3142	154	14	error	error	NOUN
cana-3142	154	15	compensation	compensation	NOUN
cana-3142	154	16	was	be	AUX
cana-3142	154	17	selected	select	VERB
cana-3142	154	18	.	.	PUNCT
cana-3142	155	1	the	the	DET
cana-3142	155	2	gmm	gmm	PROPN
cana-3142	155	3	was	be	AUX
cana-3142	155	4	built	build	VERB
cana-3142	155	5	using	use	VERB
cana-3142	155	6	the	the	DET
cana-3142	155	7	cutting	cut	VERB
cana-3142	155	8	force	force	NOUN
cana-3142	155	9	,	,	PUNCT
cana-3142	155	10	feed	feed	NOUN
cana-3142	155	11	rate	rate	NOUN
cana-3142	155	12	,	,	PUNCT
cana-3142	155	13	depth	depth	NOUN
cana-3142	155	14	of	of	ADP
cana-3142	155	15	cut	cut	NOUN
cana-3142	155	16	,	,	PUNCT
cana-3142	155	17	and	and	CCONJ
cana-3142	155	18	a	a	DET
cana-3142	155	19	vector	vector	NOUN
cana-3142	155	20	consisting	consist	VERB
cana-3142	155	21	of	of	ADP
cana-3142	155	22	the	the	DET
cana-3142	155	23	mistakes	mistake	NOUN
cana-3142	155	24	from	from	ADP
cana-3142	155	25	the	the	DET
cana-3142	155	26	it2fls	it2fls	PROPN
cana-3142	155	27	method	method	NOUN
cana-3142	155	28	.	.	PUNCT
cana-3142	156	1	to	to	PART
cana-3142	156	2	train	train	VERB
cana-3142	156	3	this	this	DET
cana-3142	156	4	model	model	NOUN
cana-3142	156	5	,	,	PUNCT
cana-3142	156	6	we	we	PRON
cana-3142	156	7	used	use	VERB
cana-3142	156	8	the	the	DET
cana-3142	156	9	initial	initial	ADJ
cana-3142	156	10	data	datum	NOUN
cana-3142	156	11	set	set	VERB
cana-3142	156	12	and	and	CCONJ
cana-3142	156	13	concealed	conceal	VERB
cana-3142	156	14	the	the	DET
cana-3142	156	15	testing	testing	NOUN
cana-3142	156	16	one	one	NUM
cana-3142	156	17	.	.	PUNCT
cana-3142	157	1	the	the	DET
cana-3142	157	2	accuracy	accuracy	NOUN
cana-3142	157	3	of	of	ADP
cana-3142	157	4	predictions	prediction	NOUN
cana-3142	157	5	for	for	ADP
cana-3142	157	6	the	the	DET
cana-3142	157	7	force	force	NOUN
cana-3142	157	8	of	of	ADP
cana-3142	157	9	cutting	cut	VERB
cana-3142	157	10	for	for	ADP
cana-3142	157	11	both	both	CCONJ
cana-3142	157	12	the	the	DET
cana-3142	157	13	testing	testing	NOUN
cana-3142	157	14	and	and	CCONJ
cana-3142	157	15	training	training	NOUN
cana-3142	157	16	information	information	NOUN
cana-3142	157	17	sets	set	NOUN
cana-3142	157	18	are	be	AUX
cana-3142	157	19	displayed	display	VERB
cana-3142	157	20	in	in	ADP
cana-3142	157	21	figure	figure	NOUN
cana-3142	157	22	8	8	NUM
cana-3142	157	23	,	,	PUNCT
cana-3142	157	24	utilizing	utilize	VERB
cana-3142	157	25	six	six	NUM
cana-3142	157	26	gaussian	gaussian	ADJ
cana-3142	157	27	elements	element	NOUN
cana-3142	157	28	.	.	PUNCT
cana-3142	158	1	r2	r2	PROPN
cana-3142	158	2	is	be	AUX
cana-3142	158	3	between	between	ADP
cana-3142	158	4	[	[	X
cana-3142	158	5	0.950	0.950	NUM
cana-3142	158	6	,	,	PUNCT
cana-3142	158	7	and	and	CCONJ
cana-3142	158	8	0.961	0.961	NUM
cana-3142	158	9	]	]	X
cana-3142	158	10	.	.	PUNCT
cana-3142	159	1	communications	communication	NOUN
cana-3142	159	2	on	on	ADP
cana-3142	159	3	applied	apply	VERB
cana-3142	159	4	nonlinear	nonlinear	ADJ
cana-3142	159	5	analysis	analysis	NOUN
cana-3142	159	6	issn	issn	NOUN
cana-3142	159	7	:	:	PUNCT
cana-3142	159	8	1074	1074	NUM
cana-3142	159	9	-	-	PUNCT
cana-3142	159	10	133x	133x	NUM
cana-3142	159	11	vol	vol	NOUN
cana-3142	159	12	32	32	NUM
cana-3142	159	13	no	no	NOUN
cana-3142	159	14	.	.	PUNCT
cana-3142	160	1	5s	5s	NUM
cana-3142	160	2	(	(	PUNCT
cana-3142	160	3	2025	2025	NUM
cana-3142	160	4	)	)	PUNCT
cana-3142	160	5	452	452	NUM
cana-3142	161	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	161	2	figure	figure	NOUN
cana-3142	161	3	8	8	NUM
cana-3142	161	4	utilizing	utilize	VERB
cana-3142	161	5	six	six	NUM
cana-3142	161	6	gaussian	gaussian	ADJ
cana-3142	161	7	elements	element	NOUN
cana-3142	161	8	a	a	DET
cana-3142	161	9	general	general	ADJ
cana-3142	161	10	increase	increase	NOUN
cana-3142	161	11	of	of	ADP
cana-3142	161	12	around	around	ADP
cana-3142	161	13	8	8	NUM
cana-3142	161	14	%	%	NOUN
cana-3142	161	15	in	in	ADP
cana-3142	161	16	the	the	DET
cana-3142	161	17	r2	r2	NOUN
cana-3142	161	18	value	value	NOUN
cana-3142	161	19	demonstrates	demonstrate	VERB
cana-3142	161	20	that	that	SCONJ
cana-3142	161	21	the	the	DET
cana-3142	161	22	gmm	gmm	NOUN
cana-3142	161	23	may	may	AUX
cana-3142	161	24	identify	identify	VERB
cana-3142	161	25	potential	potential	ADJ
cana-3142	161	26	unmodeled	unmodeled	ADJ
cana-3142	161	27	deterministic	deterministic	ADJ
cana-3142	161	28	or	or	CCONJ
cana-3142	161	29	stochastic	stochastic	ADJ
cana-3142	161	30	behaviour	behaviour	NOUN
cana-3142	161	31	.	.	PUNCT
cana-3142	162	1	following	follow	VERB
cana-3142	162	2	bias	bias	NOUN
cana-3142	162	3	adjustment	adjustment	NOUN
cana-3142	162	4	,	,	PUNCT
cana-3142	162	5	figure	figure	NOUN
cana-3142	162	6	9	9	NUM
cana-3142	162	7	displays	display	VERB
cana-3142	162	8	the	the	DET
cana-3142	162	9	two	two	NUM
cana-3142	162	10	rules	rule	NOUN
cana-3142	162	11	given	give	VERB
cana-3142	162	12	in	in	ADP
cana-3142	162	13	section	section	NOUN
cana-3142	162	14	3	3	NUM
cana-3142	162	15	overhead	overhead	ADV
cana-3142	162	16	.	.	PUNCT
cana-3142	163	1	figure	figure	NOUN
cana-3142	163	2	9	9	NUM
cana-3142	163	3	and	and	CCONJ
cana-3142	163	4	figure	figure	VERB
cana-3142	163	5	4	4	NUM
cana-3142	163	6	both	both	PRON
cana-3142	163	7	demonstrate	demonstrate	VERB
cana-3142	163	8	rules	rule	NOUN
cana-3142	163	9	with	with	ADP
cana-3142	163	10	identical	identical	ADJ
cana-3142	163	11	antecedents	antecedent	NOUN
cana-3142	163	12	;	;	PUNCT
cana-3142	163	13	the	the	DET
cana-3142	163	14	only	only	ADJ
cana-3142	163	15	variation	variation	NOUN
cana-3142	163	16	is	be	AUX
cana-3142	163	17	in	in	ADP
cana-3142	163	18	the	the	DET
cana-3142	163	19	consequents	consequent	NOUN
cana-3142	163	20	.	.	PUNCT
cana-3142	164	1	the	the	DET
cana-3142	164	2	first	first	ADJ
cana-3142	164	3	rule	rule	NOUN
cana-3142	164	4	's	's	PART
cana-3142	164	5	consequents	consequent	NOUN
cana-3142	164	6	were	be	AUX
cana-3142	164	7	shifted	shift	VERB
cana-3142	164	8	to	to	ADP
cana-3142	164	9	the	the	DET
cana-3142	164	10	right	right	NOUN
cana-3142	164	11	by	by	ADP
cana-3142	164	12	around	around	ADV
cana-3142	164	13	0.8	0.8	NUM
cana-3142	164	14	kfg	kfg	NOUN
cana-3142	164	15	while	while	SCONJ
cana-3142	164	16	the	the	DET
cana-3142	164	17	second	second	ADJ
cana-3142	164	18	rule	rule	NOUN
cana-3142	164	19	's	's	PART
cana-3142	164	20	consequentials	consequential	NOUN
cana-3142	164	21	were	be	AUX
cana-3142	164	22	shifted	shift	VERB
cana-3142	164	23	to	to	ADP
cana-3142	164	24	the	the	DET
cana-3142	164	25	left	left	NOUN
cana-3142	164	26	by	by	ADP
cana-3142	164	27	about	about	ADV
cana-3142	164	28	0.84	0.84	NUM
cana-3142	164	29	kfg	kfg	NOUN
cana-3142	164	30	.	.	PUNCT
cana-3142	165	1	it	it	PRON
cana-3142	165	2	should	should	AUX
cana-3142	165	3	be	be	AUX
cana-3142	165	4	emphasized	emphasize	VERB
cana-3142	165	5	that	that	SCONJ
cana-3142	165	6	the	the	DET
cana-3142	165	7	language	language	NOUN
cana-3142	165	8	forms	form	NOUN
cana-3142	165	9	of	of	ADP
cana-3142	165	10	these	these	DET
cana-3142	165	11	regulations	regulation	NOUN
cana-3142	165	12	were	be	AUX
cana-3142	165	13	unaffected	unaffected	ADJ
cana-3142	165	14	by	by	ADP
cana-3142	165	15	these	these	DET
cana-3142	165	16	changes	change	NOUN
cana-3142	165	17	in	in	ADP
cana-3142	165	18	the	the	DET
cana-3142	165	19	resulting	result	VERB
cana-3142	165	20	mean	mean	ADJ
cana-3142	165	21	values	value	NOUN
cana-3142	165	22	.	.	PUNCT
cana-3142	166	1	figure	figure	VERB
cana-3142	166	2	9	9	NUM
cana-3142	166	3	rules	rule	NOUN
cana-3142	166	4	with	with	ADP
cana-3142	166	5	identical	identical	ADJ
cana-3142	166	6	antecedents	antecedent	NOUN
cana-3142	166	7	the	the	DET
cana-3142	166	8	it2fls	it2fls	PROPN
cana-3142	166	9	,	,	PUNCT
cana-3142	166	10	which	which	PRON
cana-3142	166	11	was	be	AUX
cana-3142	166	12	created	create	VERB
cana-3142	166	13	to	to	PART
cana-3142	166	14	reflect	reflect	VERB
cana-3142	166	15	the	the	DET
cana-3142	166	16	surface	surface	NOUN
cana-3142	166	17	roughness	roughness	NOUN
cana-3142	166	18	,	,	PUNCT
cana-3142	166	19	was	be	AUX
cana-3142	166	20	similarly	similarly	ADV
cana-3142	166	21	refined	refine	VERB
cana-3142	166	22	using	use	VERB
cana-3142	166	23	the	the	DET
cana-3142	166	24	gmm	gmm	NOUN
cana-3142	166	25	technique	technique	NOUN
cana-3142	166	26	that	that	PRON
cana-3142	166	27	was	be	AUX
cana-3142	166	28	previously	previously	ADV
cana-3142	166	29	described	describe	VERB
cana-3142	166	30	in	in	ADP
cana-3142	166	31	this	this	DET
cana-3142	166	32	work	work	NOUN
cana-3142	166	33	for	for	ADP
cana-3142	166	34	refining	refine	VERB
cana-3142	166	35	the	the	DET
cana-3142	166	36	fls	fls	PROPN
cana-3142	166	37	rules	rule	NOUN
cana-3142	166	38	.	.	PUNCT
cana-3142	167	1	a	a	DET
cana-3142	167	2	noticeable	noticeable	ADJ
cana-3142	167	3	improvement	improvement	NOUN
cana-3142	167	4	of	of	ADP
cana-3142	167	5	around	around	ADV
cana-3142	167	6	9	9	NUM
cana-3142	167	7	%	%	NOUN
cana-3142	167	8	in	in	ADP
cana-3142	167	9	the	the	DET
cana-3142	167	10	value	value	NOUN
cana-3142	167	11	of	of	ADP
cana-3142	167	12	r2	r2	PROPN
cana-3142	167	13	was	be	AUX
cana-3142	167	14	achieved	achieve	VERB
cana-3142	167	15	due	due	ADP
cana-3142	167	16	to	to	ADP
cana-3142	167	17	surface	surface	NOUN
cana-3142	167	18	roughness	roughness	NOUN
cana-3142	167	19	.	.	PUNCT
cana-3142	168	1	in	in	ADP
cana-3142	168	2	terms	term	NOUN
cana-3142	168	3	of	of	ADP
cana-3142	168	4	predictive	predictive	ADJ
cana-3142	168	5	accuracy	accuracy	NOUN
cana-3142	168	6	,	,	PUNCT
cana-3142	168	7	the	the	DET
cana-3142	168	8	compensated	compensated	ADJ
cana-3142	168	9	it2fls	it2fls	PROPN
cana-3142	168	10	constructed	construct	VERB
cana-3142	168	11	for	for	ADP
cana-3142	168	12	cutting	cut	VERB
cana-3142	168	13	force	force	NOUN
cana-3142	168	14	surpasses	surpass	VERB
cana-3142	168	15	the	the	DET
cana-3142	168	16	one	one	NOUN
cana-3142	168	17	for	for	ADP
cana-3142	168	18	communications	communication	NOUN
cana-3142	168	19	on	on	ADP
cana-3142	168	20	applied	apply	VERB
cana-3142	168	21	nonlinear	nonlinear	ADJ
cana-3142	168	22	analysis	analysis	NOUN
cana-3142	168	23	issn	issn	NOUN
cana-3142	168	24	:	:	PUNCT
cana-3142	168	25	1074	1074	NUM
cana-3142	168	26	-	-	PUNCT
cana-3142	168	27	133x	133x	NUM
cana-3142	168	28	vol	vol	NOUN
cana-3142	168	29	32	32	NUM
cana-3142	168	30	no	no	NOUN
cana-3142	168	31	.	.	PUNCT
cana-3142	169	1	5s	5s	NUM
cana-3142	169	2	(	(	PUNCT
cana-3142	169	3	2025	2025	NUM
cana-3142	169	4	)	)	PUNCT
cana-3142	169	5	453	453	NUM
cana-3142	169	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3142	169	7	surface	surface	NOUN
cana-3142	169	8	roughness	roughness	NOUN
cana-3142	169	9	,	,	PUNCT
cana-3142	169	10	even	even	ADV
cana-3142	169	11	if	if	SCONJ
cana-3142	169	12	the	the	DET
cana-3142	169	13	improved	improved	ADJ
cana-3142	169	14	value	value	NOUN
cana-3142	169	15	for	for	ADP
cana-3142	169	16	the	the	DET
cana-3142	169	17	roughness	roughness	NOUN
cana-3142	169	18	of	of	ADP
cana-3142	169	19	the	the	DET
cana-3142	169	20	surface	surface	NOUN
cana-3142	169	21	is	be	AUX
cana-3142	169	22	somewhat	somewhat	ADV
cana-3142	169	23	bigger	big	ADJ
cana-3142	169	24	.	.	PUNCT
cana-3142	170	1	for	for	ADP
cana-3142	170	2	the	the	DET
cana-3142	170	3	sake	sake	NOUN
cana-3142	170	4	of	of	ADP
cana-3142	170	5	comparison	comparison	NOUN
cana-3142	170	6	,	,	PUNCT
cana-3142	170	7	the	the	DET
cana-3142	170	8	gmm	gmm	PROPN
cana-3142	170	9	approach	approach	NOUN
cana-3142	170	10	was	be	AUX
cana-3142	170	11	used	use	VERB
cana-3142	170	12	to	to	PART
cana-3142	170	13	alter	alter	VERB
cana-3142	170	14	the	the	DET
cana-3142	170	15	force	force	NOUN
cana-3142	170	16	of	of	ADP
cana-3142	170	17	cutting	cutting	NOUN
cana-3142	170	18	and	and	CCONJ
cana-3142	170	19	surface	surface	NOUN
cana-3142	170	20	roughness	roughness	NOUN
cana-3142	170	21	rules	rule	NOUN
cana-3142	170	22	obtained	obtain	VERB
cana-3142	170	23	by	by	ADP
cana-3142	170	24	the	the	DET
cana-3142	170	25	t1flss	t1flss	ADJ
cana-3142	170	26	;	;	PUNCT
cana-3142	170	27	this	this	PRON
cana-3142	170	28	led	lead	VERB
cana-3142	170	29	to	to	ADP
cana-3142	170	30	significant	significant	ADJ
cana-3142	170	31	improvement	improvement	NOUN
cana-3142	170	32	values	value	NOUN
cana-3142	170	33	.	.	PUNCT
cana-3142	171	1	overall	overall	ADV
cana-3142	171	2	,	,	PUNCT
cana-3142	171	3	when	when	SCONJ
cana-3142	171	4	linked	link	VERB
cana-3142	171	5	to	to	ADP
cana-3142	171	6	the	the	DET
cana-3142	171	7	popular	popular	ADJ
cana-3142	171	8	t1fls	t1fls	PROPN
cana-3142	171	9	and	and	CCONJ
cana-3142	171	10	it2fls	it2fls	PROPN
cana-3142	171	11	,	,	PUNCT
cana-3142	171	12	the	the	DET
cana-3142	171	13	given	give	VERB
cana-3142	171	14	modelling	modelling	NOUN
cana-3142	171	15	framework	framework	NOUN
cana-3142	171	16	,	,	PUNCT
cana-3142	171	17	which	which	PRON
cana-3142	171	18	combines	combine	VERB
cana-3142	171	19	the	the	DET
cana-3142	171	20	two	two	NUM
cana-3142	171	21	,	,	PUNCT
cana-3142	171	22	outperforms	outperform	VERB
cana-3142	171	23	both	both	PRON
cana-3142	171	24	in	in	ADP
cana-3142	171	25	terms	term	NOUN
cana-3142	171	26	of	of	ADP
cana-3142	171	27	predictive	predictive	ADJ
cana-3142	171	28	performance	performance	NOUN
cana-3142	171	29	.	.	PUNCT
cana-3142	172	1	also	also	ADV
cana-3142	172	2	,	,	PUNCT
cana-3142	172	3	the	the	DET
cana-3142	172	4	suggested	suggested	ADJ
cana-3142	172	5	model	model	NOUN
cana-3142	172	6	,	,	PUNCT
cana-3142	172	7	like	like	ADP
cana-3142	172	8	the	the	DET
cana-3142	172	9	famous	famous	ADJ
cana-3142	172	10	it2fls	it2fls	PROPN
cana-3142	172	11	and	and	CCONJ
cana-3142	172	12	t1fls	t1fls	NUM
cana-3142	172	13	,	,	PUNCT
cana-3142	172	14	is	be	AUX
cana-3142	172	15	seen	see	VERB
cana-3142	172	16	as	as	ADP
cana-3142	172	17	an	an	DET
cana-3142	172	18	open	open	ADJ
cana-3142	172	19	model	model	NOUN
cana-3142	172	20	that	that	PRON
cana-3142	172	21	can	can	AUX
cana-3142	172	22	handle	handle	VERB
cana-3142	172	23	uncertainties	uncertainty	NOUN
cana-3142	172	24	inherently	inherently	ADV
cana-3142	172	25	and	and	CCONJ
cana-3142	172	26	provide	provide	VERB
cana-3142	172	27	users	user	NOUN
cana-3142	172	28	with	with	ADP
cana-3142	172	29	a	a	DET
cana-3142	172	30	basic	basic	ADJ
cana-3142	172	31	comprehension	comprehension	NOUN
cana-3142	172	32	of	of	ADP
cana-3142	172	33	the	the	DET
cana-3142	172	34	process	process	NOUN
cana-3142	172	35	being	be	AUX
cana-3142	172	36	studied	study	VERB
cana-3142	172	37	.	.	PUNCT
cana-3142	173	1	the	the	DET
cana-3142	173	2	suggested	suggest	VERB
cana-3142	173	3	modelling	model	VERB
cana-3142	173	4	framework	framework	NOUN
cana-3142	173	5	,	,	PUNCT
cana-3142	173	6	on	on	ADP
cana-3142	173	7	the	the	DET
cana-3142	173	8	other	other	ADJ
cana-3142	173	9	hand	hand	NOUN
cana-3142	173	10	,	,	PUNCT
cana-3142	173	11	is	be	AUX
cana-3142	173	12	more	more	ADV
cana-3142	173	13	computationally	computationally	ADV
cana-3142	173	14	intensive	intensive	ADJ
cana-3142	173	15	than	than	ADP
cana-3142	173	16	it2fls	it2fls	PROPN
cana-3142	173	17	and	and	CCONJ
cana-3142	173	18	t1fls	t1fls	NOUN
cana-3142	173	19	.	.	PUNCT
cana-3142	174	1	the	the	DET
cana-3142	174	2	computational	computational	ADJ
cana-3142	174	3	effort	effort	NOUN
cana-3142	174	4	has	have	AUX
cana-3142	174	5	shown	show	VERB
cana-3142	174	6	improved	improved	ADJ
cana-3142	174	7	performance	performance	NOUN
cana-3142	174	8	in	in	ADP
cana-3142	174	9	predicting	predict	VERB
cana-3142	174	10	the	the	DET
cana-3142	174	11	force	force	NOUN
cana-3142	174	12	of	of	ADP
cana-3142	174	13	cutting	cutting	NOUN
cana-3142	174	14	and	and	CCONJ
cana-3142	174	15	surface	surface	NOUN
cana-3142	174	16	roughness	roughness	NOUN
cana-3142	174	17	.	.	PUNCT
cana-3142	175	1	cutting	cut	VERB
cana-3142	175	2	force	force	NOUN
cana-3142	175	3	and	and	CCONJ
cana-3142	175	4	roughness	roughness	NOUN
cana-3142	175	5	of	of	ADP
cana-3142	175	6	the	the	DET
cana-3142	175	7	surface	surface	NOUN
cana-3142	175	8	for	for	ADP
cana-3142	175	9	new	new	ADJ
cana-3142	175	10	materials	material	NOUN
cana-3142	175	11	,	,	PUNCT
cana-3142	175	12	among	among	ADP
cana-3142	175	13	other	other	ADJ
cana-3142	175	14	things	thing	NOUN
cana-3142	175	15	,	,	PUNCT
cana-3142	175	16	may	may	AUX
cana-3142	175	17	be	be	AUX
cana-3142	175	18	predicted	predict	VERB
cana-3142	175	19	using	use	VERB
cana-3142	175	20	the	the	DET
cana-3142	175	21	provided	provide	VERB
cana-3142	175	22	model	model	NOUN
cana-3142	175	23	after	after	ADP
cana-3142	175	24	training	training	NOUN
cana-3142	175	25	.	.	PUNCT
cana-3142	176	1	a	a	DET
cana-3142	176	2	data	data	NOUN
cana-3142	176	3	-	-	PUNCT
cana-3142	176	4	driven	drive	VERB
cana-3142	176	5	model	model	NOUN
cana-3142	176	6	is	be	AUX
cana-3142	176	7	what	what	PRON
cana-3142	176	8	it	it	PRON
cana-3142	176	9	is	be	AUX
cana-3142	176	10	.	.	PUNCT
cana-3142	177	1	the	the	DET
cana-3142	177	2	suggested	suggest	VERB
cana-3142	177	3	framework	framework	NOUN
cana-3142	177	4	is	be	AUX
cana-3142	177	5	a	a	DET
cana-3142	177	6	step	step	NOUN
cana-3142	177	7	in	in	ADP
cana-3142	177	8	the	the	DET
cana-3142	177	9	right	right	ADJ
cana-3142	177	10	direction	direction	NOUN
cana-3142	177	11	for	for	ADP
cana-3142	177	12	numerous	numerous	ADJ
cana-3142	177	13	industries	industry	NOUN
cana-3142	177	14	,	,	PUNCT
cana-3142	177	15	including	include	VERB
cana-3142	177	16	manufacturing	manufacturing	NOUN
cana-3142	177	17	,	,	PUNCT
cana-3142	177	18	where	where	SCONJ
cana-3142	177	19	a	a	DET
cana-3142	177	20	predictive	predictive	ADJ
cana-3142	177	21	model	model	NOUN
cana-3142	177	22	is	be	AUX
cana-3142	177	23	needed	need	VERB
cana-3142	177	24	to	to	PART
cana-3142	177	25	do	do	VERB
cana-3142	177	26	things	thing	NOUN
cana-3142	177	27	like	like	ADP
cana-3142	177	28	(	(	PUNCT
cana-3142	177	29	i	i	NOUN
cana-3142	177	30	)	)	PUNCT
cana-3142	177	31	make	make	VERB
cana-3142	177	32	reliable	reliable	ADJ
cana-3142	177	33	predictions	prediction	NOUN
cana-3142	177	34	about	about	ADP
cana-3142	177	35	a	a	DET
cana-3142	177	36	product	product	NOUN
cana-3142	177	37	's	's	PART
cana-3142	177	38	characteristics	characteristic	NOUN
cana-3142	177	39	in	in	ADP
cana-3142	177	40	a	a	DET
cana-3142	177	41	way	way	NOUN
cana-3142	177	42	that	that	PRON
cana-3142	177	43	guarantees	guarantee	VERB
cana-3142	177	44	or	or	CCONJ
cana-3142	177	45	,	,	PUNCT
cana-3142	177	46	at	at	ADP
cana-3142	177	47	the	the	DET
cana-3142	177	48	very	very	ADV
cana-3142	177	49	least	least	ADJ
cana-3142	177	50	,	,	PUNCT
cana-3142	177	51	enhances	enhance	VERB
cana-3142	177	52	the	the	DET
cana-3142	177	53	potentially	potentially	ADV
cana-3142	177	54	crucial	crucial	ADJ
cana-3142	177	55	quality	quality	NOUN
cana-3142	177	56	aspects	aspect	NOUN
cana-3142	177	57	(	(	PUNCT
cana-3142	177	58	ii	ii	NOUN
cana-3142	177	59	)	)	PUNCT
cana-3142	177	60	explain	explain	VERB
cana-3142	177	61	the	the	DET
cana-3142	177	62	method	method	NOUN
cana-3142	177	63	in	in	ADP
cana-3142	177	64	plain	plain	ADJ
cana-3142	177	65	english	english	PROPN
cana-3142	177	66	while	while	SCONJ
cana-3142	177	67	keeping	keep	VERB
cana-3142	177	68	it	it	PRON
cana-3142	177	69	thorough	thorough	ADV
cana-3142	177	70	;	;	PUNCT
cana-3142	177	71	(	(	PUNCT
cana-3142	177	72	iii	iii	X
cana-3142	177	73	)	)	PUNCT
cana-3142	177	74	describe	describe	VERB
cana-3142	177	75	the	the	DET
cana-3142	177	76	residual	residual	ADJ
cana-3142	177	77	errors	error	NOUN
cana-3142	177	78	that	that	PRON
cana-3142	177	79	account	account	VERB
cana-3142	177	80	for	for	ADP
cana-3142	177	81	the	the	DET
cana-3142	177	82	normality	normality	NOUN
cana-3142	177	83	assumption	assumption	NOUN
cana-3142	177	84	and	and	CCONJ
cana-3142	177	85	represent	represent	VERB
cana-3142	177	86	both	both	CCONJ
cana-3142	177	87	random	random	ADJ
cana-3142	177	88	and	and	CCONJ
cana-3142	177	89	predictable	predictable	ADJ
cana-3142	177	90	behaviours	behaviour	NOUN
cana-3142	177	91	.	.	PUNCT
cana-3142	178	1	5	5	X
cana-3142	178	2	.	.	X
cana-3142	178	3	conclusion	conclusion	NOUN
cana-3142	178	4	creating	create	VERB
cana-3142	178	5	a	a	DET
cana-3142	178	6	more	more	ADV
cana-3142	178	7	accurate	accurate	ADJ
cana-3142	178	8	and	and	CCONJ
cana-3142	178	9	interpretable	interpretable	ADJ
cana-3142	178	10	turning	turning	NOUN
cana-3142	178	11	process	process	NOUN
cana-3142	178	12	prediction	prediction	NOUN
cana-3142	178	13	framework	framework	NOUN
cana-3142	178	14	was	be	AUX
cana-3142	178	15	the	the	DET
cana-3142	178	16	primary	primary	ADJ
cana-3142	178	17	goal	goal	NOUN
cana-3142	178	18	of	of	ADP
cana-3142	178	19	the	the	DET
cana-3142	178	20	reported	report	VERB
cana-3142	178	21	study	study	NOUN
cana-3142	178	22	.	.	PUNCT
cana-3142	179	1	a	a	DET
cana-3142	179	2	type-2	type-2	NUM
cana-3142	179	3	interval	interval	NOUN
cana-3142	179	4	fuzzy	fuzzy	ADJ
cana-3142	179	5	logical	logical	ADJ
cana-3142	179	6	system	system	NOUN
cana-3142	179	7	was	be	AUX
cana-3142	179	8	integrated	integrate	VERB
cana-3142	179	9	with	with	ADP
cana-3142	179	10	gmm	gmm	PRON
cana-3142	179	11	in	in	ADP
cana-3142	179	12	the	the	DET
cana-3142	179	13	constructed	construct	VERB
cana-3142	179	14	framework	framework	NOUN
cana-3142	179	15	.	.	PUNCT
cana-3142	180	1	the	the	DET
cana-3142	180	2	turning	turning	NOUN
cana-3142	180	3	process	process	NOUN
cana-3142	180	4	was	be	AUX
cana-3142	180	5	first	first	ADV
cana-3142	180	6	represented	represent	VERB
cana-3142	180	7	using	use	VERB
cana-3142	180	8	the	the	DET
cana-3142	180	9	it2fls	it2fls	PROPN
cana-3142	180	10	,	,	PUNCT
cana-3142	180	11	which	which	PRON
cana-3142	180	12	mapped	map	VERB
cana-3142	180	13	process	process	NOUN
cana-3142	180	14	parameters	parameter	NOUN
cana-3142	180	15	to	to	ADP
cana-3142	180	16	a	a	DET
cana-3142	180	17	machined	machine	VERB
cana-3142	180	18	specimen	speciman	NOUN
cana-3142	180	19	's	's	PART
cana-3142	180	20	surface	surface	NOUN
cana-3142	180	21	quality	quality	NOUN
cana-3142	180	22	and	and	CCONJ
cana-3142	180	23	cutting	cut	VERB
cana-3142	180	24	force	force	NOUN
cana-3142	180	25	.	.	PUNCT
cana-3142	181	1	the	the	DET
cana-3142	181	2	it2fls	it2fls	PROPN
cana-3142	181	3	handled	handle	VERB
cana-3142	181	4	uncertainty	uncertainty	NOUN
cana-3142	181	5	and	and	CCONJ
cana-3142	181	6	effectively	effectively	ADV
cana-3142	181	7	predicted	predict	VERB
cana-3142	181	8	cutting	cut	VERB
cana-3142	181	9	force	force	NOUN
cana-3142	181	10	and	and	CCONJ
cana-3142	181	11	surface	surface	NOUN
cana-3142	181	12	roughness	roughness	NOUN
cana-3142	181	13	.	.	PUNCT
cana-3142	182	1	further	far	ADV
cana-3142	182	2	,	,	PUNCT
cana-3142	182	3	it	it	PRON
cana-3142	182	4	included	include	VERB
cana-3142	182	5	helpful	helpful	ADJ
cana-3142	182	6	guidelines	guideline	NOUN
cana-3142	182	7	that	that	PRON
cana-3142	182	8	are	be	AUX
cana-3142	182	9	simple	simple	ADJ
cana-3142	182	10	to	to	PART
cana-3142	182	11	understand	understand	VERB
cana-3142	182	12	and	and	CCONJ
cana-3142	182	13	use	use	VERB
cana-3142	182	14	to	to	PART
cana-3142	182	15	manage	manage	VERB
cana-3142	182	16	the	the	DET
cana-3142	182	17	turning	turn	VERB
cana-3142	182	18	procedure	procedure	NOUN
cana-3142	182	19	.	.	PUNCT
cana-3142	183	1	to	to	PART
cana-3142	183	2	improve	improve	VERB
cana-3142	183	3	the	the	DET
cana-3142	183	4	predictive	predictive	ADJ
cana-3142	183	5	performance	performance	NOUN
cana-3142	183	6	,	,	PUNCT
cana-3142	183	7	we	we	PRON
cana-3142	183	8	used	use	VERB
cana-3142	183	9	the	the	DET
cana-3142	183	10	gmm	gmm	NOUN
cana-3142	183	11	to	to	PART
cana-3142	183	12	refine	refine	VERB
cana-3142	183	13	the	the	DET
cana-3142	183	14	extracted	extract	VERB
cana-3142	183	15	informative	informative	ADJ
cana-3142	183	16	rules	rule	NOUN
cana-3142	183	17	and	and	CCONJ
cana-3142	183	18	characterize	characterize	VERB
cana-3142	183	19	the	the	DET
cana-3142	183	20	resulting	result	VERB
cana-3142	183	21	error	error	NOUN
cana-3142	183	22	residuals	residual	NOUN
cana-3142	183	23	.	.	PUNCT
cana-3142	184	1	this	this	PRON
cana-3142	184	2	is	be	AUX
cana-3142	184	3	because	because	SCONJ
cana-3142	184	4	,	,	PUNCT
cana-3142	184	5	in	in	ADP
cana-3142	184	6	most	most	ADJ
cana-3142	184	7	cases	case	NOUN
cana-3142	184	8	,	,	PUNCT
cana-3142	184	9	we	we	PRON
cana-3142	184	10	want	want	VERB
cana-3142	184	11	the	the	DET
cana-3142	184	12	examined	examine	VERB
cana-3142	184	13	attributes	attribute	NOUN
cana-3142	184	14	to	to	PART
cana-3142	184	15	be	be	AUX
cana-3142	184	16	predicted	predict	VERB
cana-3142	184	17	more	more	ADV
cana-3142	184	18	accurately	accurately	ADV
cana-3142	184	19	.	.	PUNCT
cana-3142	185	1	adding	add	VERB
cana-3142	185	2	the	the	DET
cana-3142	185	3	gmm	gmm	NOUN
cana-3142	185	4	to	to	ADP
cana-3142	185	5	the	the	DET
cana-3142	185	6	it2fls	it2fls	PROPN
cana-3142	185	7	framework	framework	NOUN
cana-3142	185	8	resulted	result	VERB
cana-3142	185	9	in	in	ADP
cana-3142	185	10	an	an	DET
cana-3142	185	11	8	8	NUM
cana-3142	185	12	per	per	NOUN
cana-3142	185	13	cent	cent	NOUN
cana-3142	185	14	improvement	improvement	NOUN
cana-3142	185	15	overall	overall	ADJ
cana-3142	185	16	.	.	PUNCT
cana-3142	186	1	reference	reference	NOUN
cana-3142	186	2	:	:	PUNCT
cana-3142	187	1	[	[	X
cana-3142	187	2	1	1	X
cana-3142	187	3	]	]	X
cana-3142	187	4	muhammad	muhammad	PROPN
cana-3142	187	5	,	,	PUNCT
cana-3142	187	6	riaz	riaz	PROPN
cana-3142	187	7	.	.	PUNCT
cana-3142	188	1	"	"	PUNCT
cana-3142	188	2	a	a	DET
cana-3142	188	3	fuzzy	fuzzy	ADJ
cana-3142	188	4	logic	logic	NOUN
cana-3142	188	5	model	model	NOUN
cana-3142	188	6	for	for	ADP
cana-3142	188	7	the	the	DET
cana-3142	188	8	analysis	analysis	NOUN
cana-3142	188	9	of	of	ADP
cana-3142	188	10	ultrasonic	ultrasonic	ADJ
cana-3142	188	11	vibration	vibration	NOUN
cana-3142	188	12	assisted	assist	VERB
cana-3142	188	13	turning	turn	VERB
cana-3142	188	14	and	and	CCONJ
cana-3142	188	15	conventional	conventional	ADJ
cana-3142	188	16	turning	turning	NOUN
cana-3142	188	17	of	of	ADP
cana-3142	188	18	ti	ti	NOUN
cana-3142	188	19	-	-	PUNCT
cana-3142	188	20	based	base	VERB
cana-3142	188	21	alloy	alloy	NOUN
cana-3142	188	22	.	.	PUNCT
cana-3142	188	23	"	"	PUNCT
cana-3142	189	1	materials	material	NOUN
cana-3142	189	2	14.21	14.21	NUM
cana-3142	189	3	(	(	PUNCT
cana-3142	189	4	2021	2021	NUM
cana-3142	189	5	):	):	PUNCT
cana-3142	189	6	6572	6572	NUM
cana-3142	189	7	.	.	PUNCT
cana-3142	190	1	[	[	X
cana-3142	190	2	2	2	X
cana-3142	190	3	]	]	PUNCT
cana-3142	190	4	rodić	rodić	NOUN
cana-3142	190	5	,	,	PUNCT
cana-3142	190	6	dragan	dragan	NOUN
cana-3142	190	7	,	,	PUNCT
cana-3142	190	8	et	et	PROPN
cana-3142	190	9	al	al	PROPN
cana-3142	190	10	.	.	PUNCT
cana-3142	191	1	"	"	PUNCT
cana-3142	191	2	fuzzy	fuzzy	ADJ
cana-3142	191	3	logic	logic	NOUN
cana-3142	191	4	and	and	CCONJ
cana-3142	191	5	sub	sub	ADJ
cana-3142	191	6	-	-	ADJ
cana-3142	191	7	clustering	clustering	ADJ
cana-3142	191	8	approaches	approach	NOUN
cana-3142	191	9	to	to	PART
cana-3142	191	10	predict	predict	VERB
cana-3142	191	11	main	main	ADJ
cana-3142	191	12	cutting	cutting	NOUN
cana-3142	191	13	force	force	NOUN
cana-3142	191	14	in	in	ADP
cana-3142	191	15	high	high	ADJ
cana-3142	191	16	-	-	PUNCT
cana-3142	191	17	pressure	pressure	NOUN
cana-3142	191	18	jet	jet	NOUN
cana-3142	191	19	assisted	assist	VERB
cana-3142	191	20	turning	turn	VERB
cana-3142	191	21	.	.	PUNCT
cana-3142	191	22	"	"	PUNCT
cana-3142	192	1	journal	journal	NOUN
cana-3142	192	2	of	of	ADP
cana-3142	192	3	intelligent	intelligent	ADJ
cana-3142	192	4	manufacturing	manufacturing	NOUN
cana-3142	192	5	32	32	NUM
cana-3142	192	6	(	(	PUNCT
cana-3142	192	7	2021	2021	NUM
cana-3142	192	8	):	):	PUNCT
cana-3142	192	9	21	21	NUM
cana-3142	192	10	-	-	SYM
cana-3142	192	11	36	36	NUM
cana-3142	192	12	.	.	PUNCT
cana-3142	193	1	[	[	X
cana-3142	193	2	3	3	NUM
cana-3142	193	3	]	]	PUNCT
cana-3142	193	4	alalawin	alalawin	NOUN
cana-3142	193	5	,	,	PUNCT
cana-3142	193	6	abdallah	abdallah	PROPN
cana-3142	193	7	,	,	PUNCT
cana-3142	193	8	et	et	PROPN
cana-3142	193	9	al	al	PROPN
cana-3142	193	10	.	.	PUNCT
cana-3142	194	1	"	"	PUNCT
cana-3142	194	2	an	an	DET
cana-3142	194	3	interpretable	interpretable	ADJ
cana-3142	194	4	predictive	predictive	ADJ
cana-3142	194	5	modelling	modelling	NOUN
cana-3142	194	6	framework	framework	NOUN
cana-3142	194	7	for	for	ADP
cana-3142	194	8	the	the	DET
cana-3142	194	9	turning	turning	NOUN
cana-3142	194	10	process	process	NOUN
cana-3142	194	11	by	by	ADP
cana-3142	194	12	the	the	DET
cana-3142	194	13	use	use	NOUN
cana-3142	194	14	of	of	ADP
cana-3142	194	15	a	a	DET
cana-3142	194	16	compensated	compensate	VERB
cana-3142	194	17	fuzzy	fuzzy	ADJ
cana-3142	194	18	logic	logic	NOUN
cana-3142	194	19	system	system	NOUN
cana-3142	194	20	.	.	PUNCT
cana-3142	194	21	"	"	PUNCT
cana-3142	195	1	production	production	NOUN
cana-3142	195	2	&	&	CCONJ
cana-3142	195	3	manufacturing	manufacturing	NOUN
cana-3142	195	4	research	research	NOUN
cana-3142	195	5	10.1	10.1	NUM
cana-3142	195	6	(	(	PUNCT
cana-3142	195	7	2022	2022	NUM
cana-3142	195	8	):	):	PUNCT
cana-3142	195	9	89	89	NUM
cana-3142	195	10	-	-	SYM
cana-3142	195	11	107	107	NUM
cana-3142	195	12	.	.	PUNCT
cana-3142	196	1	[	[	X
cana-3142	196	2	4	4	NUM
cana-3142	196	3	]	]	X
cana-3142	196	4	narayanan	narayanan	PROPN
cana-3142	196	5	,	,	PUNCT
cana-3142	196	6	kb	kb	PROPN
cana-3142	196	7	badri	badri	PROPN
cana-3142	196	8	,	,	PUNCT
cana-3142	196	9	and	and	CCONJ
cana-3142	196	10	sreekumar	sreekumar	ADJ
cana-3142	196	11	muthusamy	muthusamy	NOUN
cana-3142	196	12	.	.	PUNCT
cana-3142	197	1	"	"	PUNCT
cana-3142	197	2	prediction	prediction	NOUN
cana-3142	197	3	of	of	ADP
cana-3142	197	4	machinability	machinability	NOUN
cana-3142	197	5	parameters	parameter	NOUN
cana-3142	197	6	in	in	ADP
cana-3142	197	7	turning	turn	VERB
cana-3142	197	8	operation	operation	NOUN
cana-3142	197	9	using	use	VERB
cana-3142	197	10	interval	interval	NOUN
cana-3142	197	11	type-2	type-2	PRON
cana-3142	197	12	fuzzy	fuzzy	ADJ
cana-3142	197	13	logic	logic	NOUN
cana-3142	197	14	system	system	NOUN
cana-3142	197	15	based	base	VERB
cana-3142	197	16	on	on	ADP
cana-3142	197	17	semi	semi	ADJ
cana-3142	197	18	-	-	ADJ
cana-3142	197	19	elliptic	elliptic	ADJ
cana-3142	197	20	and	and	CCONJ
cana-3142	197	21	trapezoidal	trapezoidal	ADJ
cana-3142	197	22	membership	membership	NOUN
cana-3142	197	23	functions	function	NOUN
cana-3142	197	24	.	.	PUNCT
cana-3142	197	25	"	"	PUNCT
cana-3142	197	26	soft	soft	ADJ
cana-3142	197	27	computing	computing	NOUN
cana-3142	197	28	26.7	26.7	NUM
cana-3142	197	29	(	(	PUNCT
cana-3142	197	30	2022	2022	NUM
cana-3142	197	31	):	):	PUNCT
cana-3142	197	32	3197	3197	NUM
cana-3142	197	33	-	-	SYM
cana-3142	197	34	3216	3216	NUM
cana-3142	197	35	.	.	PUNCT
cana-3142	198	1	[	[	X
cana-3142	198	2	5	5	NUM
cana-3142	198	3	]	]	X
cana-3142	198	4	badri	badri	PROPN
cana-3142	198	5	narayanan	narayanan	PROPN
cana-3142	198	6	,	,	PUNCT
cana-3142	198	7	k.	k.	PROPN
cana-3142	198	8	b.	b.	PROPN
cana-3142	198	9	,	,	PUNCT
cana-3142	198	10	and	and	CCONJ
cana-3142	198	11	m.	m.	NOUN
cana-3142	198	12	sreekumar	sreekumar	PROPN
cana-3142	198	13	.	.	PUNCT
cana-3142	199	1	"	"	PUNCT
cana-3142	199	2	diagnosing	diagnose	VERB
cana-3142	199	3	of	of	ADP
cana-3142	199	4	risk	risk	NOUN
cana-3142	199	5	state	state	NOUN
cana-3142	199	6	in	in	ADP
cana-3142	199	7	subsystems	subsystem	NOUN
cana-3142	199	8	of	of	ADP
cana-3142	199	9	cnc	cnc	PROPN
cana-3142	199	10	turning	turning	NOUN
cana-3142	199	11	centre	centre	NOUN
cana-3142	199	12	using	use	VERB
cana-3142	199	13	interval	interval	NOUN
cana-3142	199	14	type-2	type-2	PRON
cana-3142	199	15	fuzzy	fuzzy	ADJ
cana-3142	199	16	logic	logic	NOUN
cana-3142	199	17	system	system	NOUN
cana-3142	199	18	with	with	ADP
cana-3142	199	19	semi	semi	ADJ
cana-3142	199	20	-	-	ADJ
cana-3142	199	21	elliptic	elliptic	ADJ
cana-3142	199	22	membership	membership	NOUN
cana-3142	199	23	functions	function	NOUN
cana-3142	199	24	.	.	PUNCT
cana-3142	199	25	"	"	PUNCT
cana-3142	200	1	international	international	ADJ
cana-3142	200	2	journal	journal	NOUN
cana-3142	200	3	of	of	ADP
cana-3142	200	4	fuzzy	fuzzy	ADJ
cana-3142	200	5	systems	system	NOUN
cana-3142	200	6	(	(	PUNCT
cana-3142	200	7	2021	2021	NUM
cana-3142	200	8	):	):	PUNCT
cana-3142	200	9	1	1	NUM
cana-3142	200	10	-	-	SYM
cana-3142	200	11	18	18	NUM
cana-3142	200	12	.	.	PUNCT
cana-3142	201	1	[	[	X
cana-3142	201	2	6	6	NUM
cana-3142	201	3	]	]	PUNCT
cana-3142	201	4	alalaween	alalaween	NOUN
cana-3142	201	5	,	,	PUNCT
cana-3142	201	6	wafa’h	wafa’h	NOUN
cana-3142	201	7	.	.	PROPN
cana-3142	201	8	,	,	PUNCT
cana-3142	201	9	et	et	PROPN
cana-3142	201	10	al	al	PROPN
cana-3142	201	11	.	.	PUNCT
cana-3142	202	1	"	"	PUNCT
cana-3142	202	2	a	a	DET
cana-3142	202	3	new	new	ADJ
cana-3142	202	4	integrated	integrate	VERB
cana-3142	202	5	modelling	modelling	NOUN
cana-3142	202	6	architecture	architecture	NOUN
cana-3142	202	7	based	base	VERB
cana-3142	202	8	on	on	ADP
cana-3142	202	9	the	the	DET
cana-3142	202	10	concept	concept	NOUN
cana-3142	202	11	of	of	ADP
cana-3142	202	12	the	the	DET
cana-3142	202	13	fuzzy	fuzzy	ADJ
cana-3142	202	14	logic	logic	NOUN
cana-3142	202	15	for	for	ADP
cana-3142	202	16	the	the	DET
cana-3142	202	17	turning	turning	NOUN
cana-3142	202	18	process	process	NOUN
cana-3142	202	19	.	.	PUNCT
cana-3142	202	20	"	"	PUNCT
cana-3142	203	1	journal	journal	NOUN
cana-3142	203	2	of	of	ADP
cana-3142	203	3	intelligent	intelligent	ADJ
cana-3142	203	4	&	&	CCONJ
cana-3142	203	5	fuzzy	fuzzy	ADJ
cana-3142	203	6	systems	system	NOUN
cana-3142	203	7	41.1	41.1	NUM
cana-3142	203	8	(	(	PUNCT
cana-3142	203	9	2021	2021	NUM
cana-3142	203	10	):	):	PUNCT
cana-3142	203	11	655	655	NUM
cana-3142	203	12	-	-	SYM
cana-3142	203	13	667	667	NUM
cana-3142	203	14	.	.	PUNCT
cana-3142	204	1	communications	communication	NOUN
cana-3142	204	2	on	on	ADP
cana-3142	204	3	applied	apply	VERB
cana-3142	204	4	nonlinear	nonlinear	ADJ
cana-3142	204	5	analysis	analysis	NOUN
cana-3142	204	6	issn	issn	NOUN
cana-3142	204	7	:	:	PUNCT
cana-3142	204	8	1074	1074	NUM
cana-3142	204	9	-	-	PUNCT
cana-3142	204	10	133x	133x	NUM
cana-3142	204	11	vol	vol	NOUN
cana-3142	204	12	32	32	NUM
cana-3142	204	13	no	no	NOUN
cana-3142	204	14	.	.	PUNCT
cana-3142	205	1	5s	5s	NUM
cana-3142	205	2	(	(	PUNCT
cana-3142	205	3	2025	2025	NUM
cana-3142	205	4	)	)	PUNCT
cana-3142	205	5	454	454	NUM
cana-3142	205	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3142	206	1	[	[	X
cana-3142	206	2	7	7	NUM
cana-3142	206	3	]	]	SYM
cana-3142	206	4	shivakoti	shivakoti	ADJ
cana-3142	206	5	,	,	PUNCT
cana-3142	206	6	ishwer	ishwer	NOUN
cana-3142	206	7	,	,	PUNCT
cana-3142	206	8	et	et	PROPN
cana-3142	206	9	al	al	PROPN
cana-3142	206	10	.	.	PUNCT
cana-3142	207	1	"	"	PUNCT
cana-3142	207	2	anfis	anfis	PROPN
cana-3142	207	3	based	base	VERB
cana-3142	207	4	prediction	prediction	NOUN
cana-3142	207	5	and	and	CCONJ
cana-3142	207	6	parametric	parametric	ADJ
cana-3142	207	7	analysis	analysis	NOUN
cana-3142	207	8	during	during	ADP
cana-3142	207	9	turning	turn	VERB
cana-3142	207	10	operation	operation	NOUN
cana-3142	207	11	of	of	ADP
cana-3142	207	12	stainless	stainless	ADJ
cana-3142	207	13	steel	steel	NOUN
cana-3142	207	14	202	202	NUM
cana-3142	207	15	.	.	PUNCT
cana-3142	207	16	"	"	PUNCT
cana-3142	208	1	materials	material	NOUN
cana-3142	208	2	and	and	CCONJ
cana-3142	208	3	manufacturing	manufacturing	NOUN
cana-3142	208	4	processes	process	NOUN
cana-3142	208	5	34.1	34.1	NUM
cana-3142	208	6	(	(	PUNCT
cana-3142	208	7	2019	2019	NUM
cana-3142	208	8	):	):	PUNCT
cana-3142	208	9	112	112	NUM
cana-3142	208	10	-	-	SYM
cana-3142	208	11	121	121	NUM
cana-3142	208	12	.	.	PUNCT
cana-3142	209	1	[	[	X
cana-3142	209	2	8	8	NUM
cana-3142	209	3	]	]	X
cana-3142	209	4	mewada	mewada	PROPN
cana-3142	209	5	,	,	PUNCT
cana-3142	209	6	shivlal	shivlal	PROPN
cana-3142	209	7	,	,	PUNCT
cana-3142	209	8	et	et	PROPN
cana-3142	209	9	al	al	PROPN
cana-3142	209	10	.	.	PUNCT
cana-3142	210	1	"	"	PUNCT
cana-3142	210	2	smart	smart	ADJ
cana-3142	210	3	diagnostic	diagnostic	ADJ
cana-3142	210	4	expert	expert	NOUN
cana-3142	210	5	system	system	NOUN
cana-3142	210	6	for	for	ADP
cana-3142	210	7	a	a	DET
cana-3142	210	8	defect	defect	NOUN
cana-3142	210	9	in	in	ADP
cana-3142	210	10	forging	forge	VERB
cana-3142	210	11	process	process	NOUN
cana-3142	210	12	by	by	ADP
cana-3142	210	13	using	use	VERB
cana-3142	210	14	machine	machine	NOUN
cana-3142	210	15	learning	learning	NOUN
cana-3142	210	16	process	process	NOUN
cana-3142	210	17	.	.	PUNCT
cana-3142	210	18	"	"	PUNCT
cana-3142	211	1	journal	journal	NOUN
cana-3142	211	2	of	of	ADP
cana-3142	211	3	nanomaterials	nanomaterial	NOUN
cana-3142	211	4	2022.1	2022.1	NUM
cana-3142	211	5	(	(	PUNCT
cana-3142	211	6	2022	2022	NUM
cana-3142	211	7	):	):	PUNCT
cana-3142	211	8	2567194	2567194	NUM
cana-3142	211	9	.	.	PUNCT
cana-3142	212	1	[	[	X
cana-3142	212	2	9	9	NUM
cana-3142	212	3	]	]	SYM
cana-3142	212	4	kumar	kumar	PROPN
cana-3142	212	5	,	,	PUNCT
cana-3142	212	6	t.	t.	NOUN
cana-3142	212	7	rajasanthosh	rajasanthosh	NOUN
cana-3142	212	8	,	,	PUNCT
cana-3142	212	9	g.	g.	PROPN
cana-3142	212	10	laxmaiah	laxmaiah	PROPN
cana-3142	212	11	,	,	PUNCT
cana-3142	212	12	and	and	CCONJ
cana-3142	212	13	s.	s.	PROPN
cana-3142	212	14	solomon	solomon	PROPN
cana-3142	212	15	raj	raj	PROPN
cana-3142	212	16	.	.	PUNCT
cana-3142	213	1	"	"	PUNCT
cana-3142	213	2	a	a	DET
cana-3142	213	3	framework	framework	NOUN
cana-3142	213	4	of	of	ADP
cana-3142	213	5	intelligent	intelligent	ADJ
cana-3142	213	6	manufacturing	manufacturing	NOUN
cana-3142	213	7	process	process	NOUN
cana-3142	213	8	by	by	ADP
cana-3142	213	9	integrating	integrate	VERB
cana-3142	213	10	various	various	ADJ
cana-3142	213	11	functions	function	NOUN
cana-3142	213	12	.	.	PUNCT
cana-3142	213	13	"	"	PUNCT
cana-3142	214	1	ai	ai	VERB
cana-3142	214	2	-	-	PUNCT
cana-3142	214	3	driven	drive	VERB
cana-3142	214	4	iot	iot	NOUN
cana-3142	214	5	systems	system	NOUN
cana-3142	214	6	for	for	ADP
cana-3142	214	7	industry	industry	NOUN
cana-3142	214	8	4.0	4.0	NUM
cana-3142	214	9	.	.	PUNCT
cana-3142	215	1	crc	crc	PROPN
cana-3142	215	2	press	press	PROPN
cana-3142	215	3	241	241	NUM
cana-3142	215	4	-	-	SYM
cana-3142	215	5	254	254	NUM
cana-3142	215	6	.	.	PUNCT
cana-3142	216	1	[	[	X
cana-3142	216	2	10	10	NUM
cana-3142	216	3	]	]	X
cana-3142	216	4	riaz	riaz	PROPN
cana-3142	216	5	,	,	PUNCT
cana-3142	216	6	asim	asim	PROPN
cana-3142	216	7	ahmad	ahmad	PROPN
cana-3142	216	8	,	,	PUNCT
cana-3142	216	9	et	et	PROPN
cana-3142	216	10	al	al	PROPN
cana-3142	216	11	.	.	PUNCT
cana-3142	217	1	"	"	PUNCT
cana-3142	217	2	fuzzy	fuzzy	ADJ
cana-3142	217	3	logic	logic	NOUN
cana-3142	217	4	-	-	PUNCT
cana-3142	217	5	based	base	VERB
cana-3142	217	6	prediction	prediction	NOUN
cana-3142	217	7	of	of	ADP
cana-3142	217	8	drilling	drilling	NOUN
cana-3142	217	9	-	-	PUNCT
cana-3142	217	10	induced	induce	VERB
cana-3142	217	11	temperatures	temperature	NOUN
cana-3142	217	12	at	at	ADP
cana-3142	217	13	varying	vary	VERB
cana-3142	217	14	cutting	cut	VERB
cana-3142	217	15	conditions	condition	NOUN
cana-3142	217	16	along	along	ADP
cana-3142	217	17	with	with	ADP
cana-3142	217	18	analysis	analysis	NOUN
cana-3142	217	19	of	of	ADP
cana-3142	217	20	chips	chip	NOUN
cana-3142	217	21	morphology	morphology	NOUN
cana-3142	217	22	and	and	CCONJ
cana-3142	217	23	burrs	burrs	NOUN
cana-3142	217	24	formation	formation	NOUN
cana-3142	217	25	.	.	PUNCT
cana-3142	217	26	"	"	PUNCT
cana-3142	217	27	metals	metal	VERB
cana-3142	217	28	11.2	11.2	NUM
cana-3142	217	29	(	(	PUNCT
cana-3142	217	30	2021	2021	NUM
cana-3142	217	31	):	):	PUNCT
cana-3142	217	32	277	277	NUM
cana-3142	217	33	.	.	PUNCT
cana-3142	218	1	[	[	X
cana-3142	218	2	11	11	NUM
cana-3142	218	3	]	]	X
cana-3142	218	4	kuntoğlu	kuntoğlu	PROPN
cana-3142	218	5	,	,	PUNCT
cana-3142	218	6	mustafa	mustafa	PROPN
cana-3142	218	7	,	,	PUNCT
cana-3142	218	8	and	and	CCONJ
cana-3142	218	9	hacı	hacı	VERB
cana-3142	218	10	sağlam	sağlam	PROPN
cana-3142	218	11	.	.	PUNCT
cana-3142	219	1	"	"	PUNCT
cana-3142	219	2	anova	anova	X
cana-3142	219	3	and	and	CCONJ
cana-3142	219	4	fuzzy	fuzzy	ADJ
cana-3142	219	5	rule	rule	NOUN
cana-3142	219	6	-	-	PUNCT
cana-3142	219	7	based	base	VERB
cana-3142	219	8	evaluation	evaluation	NOUN
cana-3142	219	9	and	and	CCONJ
cana-3142	219	10	estimation	estimation	NOUN
cana-3142	219	11	of	of	ADP
cana-3142	219	12	flank	flank	NOUN
cana-3142	219	13	wear	wear	NOUN
cana-3142	219	14	,	,	PUNCT
cana-3142	219	15	temperature	temperature	NOUN
cana-3142	219	16	and	and	CCONJ
cana-3142	219	17	acoustic	acoustic	ADJ
cana-3142	219	18	emission	emission	NOUN
cana-3142	219	19	in	in	ADP
cana-3142	219	20	turning	turn	VERB
cana-3142	219	21	.	.	PUNCT
cana-3142	219	22	"	"	PUNCT
cana-3142	219	23	cirp	cirp	ADJ
cana-3142	219	24	journal	journal	NOUN
cana-3142	219	25	of	of	ADP
cana-3142	219	26	manufacturing	manufacturing	NOUN
cana-3142	219	27	science	science	NOUN
cana-3142	219	28	and	and	CCONJ
cana-3142	219	29	technology	technology	NOUN
cana-3142	219	30	35	35	NUM
cana-3142	219	31	(	(	PUNCT
cana-3142	219	32	2021	2021	NUM
cana-3142	219	33	):	):	PUNCT
cana-3142	219	34	589	589	NUM
cana-3142	219	35	-	-	SYM
cana-3142	219	36	603	603	NUM
cana-3142	219	37	.	.	PUNCT
cana-3142	220	1	[	[	X
cana-3142	220	2	12	12	NUM
cana-3142	220	3	]	]	X
cana-3142	220	4	bhattacharya	bhattacharya	PROPN
cana-3142	220	5	,	,	PUNCT
cana-3142	220	6	shibaprasad	shibaprasad	PROPN
cana-3142	220	7	,	,	PUNCT
cana-3142	220	8	et	et	PROPN
cana-3142	220	9	al	al	PROPN
cana-3142	220	10	.	.	PUNCT
cana-3142	221	1	"	"	PUNCT
cana-3142	221	2	prediction	prediction	NOUN
cana-3142	221	3	of	of	ADP
cana-3142	221	4	responses	response	NOUN
cana-3142	221	5	in	in	ADP
cana-3142	221	6	a	a	DET
cana-3142	221	7	sustainable	sustainable	ADJ
cana-3142	221	8	dry	dry	ADJ
cana-3142	221	9	turning	turning	NOUN
cana-3142	221	10	operation	operation	NOUN
cana-3142	221	11	:	:	PUNCT
cana-3142	221	12	a	a	DET
cana-3142	221	13	comparative	comparative	ADJ
cana-3142	221	14	analysis	analysis	NOUN
cana-3142	221	15	.	.	PUNCT
cana-3142	221	16	"	"	PUNCT
cana-3142	222	1	mathematical	mathematical	ADJ
cana-3142	222	2	problems	problem	NOUN
cana-3142	222	3	in	in	ADP
cana-3142	222	4	engineering	engineer	VERB
cana-3142	222	5	2021.1	2021.1	NUM
cana-3142	222	6	(	(	PUNCT
cana-3142	222	7	2021	2021	NUM
cana-3142	222	8	):	):	PUNCT
cana-3142	222	9	9967970	9967970	NUM
cana-3142	222	10	.	.	PUNCT
cana-3142	223	1	[	[	X
cana-3142	223	2	13	13	NUM
cana-3142	223	3	]	]	SYM
cana-3142	223	4	mandal	mandal	PROPN
cana-3142	223	5	,	,	PUNCT
cana-3142	223	6	soumen	souman	NOUN
cana-3142	223	7	,	,	PUNCT
cana-3142	223	8	and	and	CCONJ
cana-3142	223	9	anirudh	anirudh	PROPN
cana-3142	223	10	kumar	kumar	PROPN
cana-3142	223	11	.	.	PUNCT
cana-3142	224	1	"	"	PUNCT
cana-3142	224	2	assessment	assessment	NOUN
cana-3142	224	3	of	of	ADP
cana-3142	224	4	micro	micro	ADJ
cana-3142	224	5	turning	turn	VERB
cana-3142	224	6	machine	machine	NOUN
cana-3142	224	7	stiffness	stiffness	ADJ
cana-3142	224	8	response	response	NOUN
cana-3142	224	9	and	and	CCONJ
cana-3142	224	10	material	material	NOUN
cana-3142	224	11	characteristics	characteristic	NOUN
cana-3142	224	12	by	by	ADP
cana-3142	224	13	fuzzy	fuzzy	ADJ
cana-3142	224	14	rule	rule	NOUN
cana-3142	224	15	-	-	PUNCT
cana-3142	224	16	based	base	VERB
cana-3142	224	17	pattern	pattern	NOUN
cana-3142	224	18	matching	matching	NOUN
cana-3142	224	19	of	of	ADP
cana-3142	224	20	cutting	cut	VERB
cana-3142	224	21	force	force	NOUN
cana-3142	224	22	plots	plot	NOUN
cana-3142	224	23	.	.	PUNCT
cana-3142	224	24	"	"	PUNCT
cana-3142	225	1	journal	journal	NOUN
cana-3142	225	2	of	of	ADP
cana-3142	225	3	manufacturing	manufacturing	NOUN
cana-3142	225	4	systems	system	NOUN
cana-3142	225	5	32.1	32.1	NUM
cana-3142	225	6	(	(	PUNCT
cana-3142	225	7	2013	2013	NUM
cana-3142	225	8	):	):	PUNCT
cana-3142	225	9	228	228	NUM
cana-3142	225	10	-	-	SYM
cana-3142	225	11	237	237	NUM
cana-3142	225	12	.	.	PUNCT
cana-3142	226	1	[	[	X
cana-3142	226	2	14	14	NUM
cana-3142	226	3	]	]	X
cana-3142	226	4	kunhirunbawon	kunhirunbawon	PROPN
cana-3142	226	5	,	,	PUNCT
cana-3142	226	6	s.	s.	PROPN
cana-3142	226	7	,	,	PUNCT
cana-3142	226	8	et	et	PROPN
cana-3142	226	9	al	al	PROPN
cana-3142	226	10	.	.	PUNCT
cana-3142	227	1	"	"	PUNCT
cana-3142	227	2	fuzzy	fuzzy	ADJ
cana-3142	227	3	logic	logic	NOUN
cana-3142	227	4	-	-	PUNCT
cana-3142	227	5	based	base	VERB
cana-3142	227	6	prediction	prediction	NOUN
cana-3142	227	7	data	datum	NOUN
cana-3142	227	8	for	for	ADP
cana-3142	227	9	the	the	DET
cana-3142	227	10	cnc	cnc	PROPN
cana-3142	227	11	lathe	lathe	NOUN
cana-3142	227	12	.	.	PUNCT
cana-3142	227	13	"	"	PUNCT
cana-3142	228	1	archives	archive	NOUN
cana-3142	228	2	of	of	ADP
cana-3142	228	3	materials	material	NOUN
cana-3142	228	4	science	science	NOUN
cana-3142	228	5	and	and	CCONJ
cana-3142	228	6	engineering	engineer	VERB
cana-3142	228	7	126.2	126.2	NUM
cana-3142	228	8	(	(	PUNCT
cana-3142	228	9	2024	2024	NUM
cana-3142	228	10	)	)	PUNCT
cana-3142	228	11	.	.	PUNCT
cana-3142	229	1	[	[	X
cana-3142	229	2	15	15	NUM
cana-3142	229	3	]	]	X
cana-3142	229	4	mewada	mewada	PROPN
cana-3142	229	5	,	,	PUNCT
cana-3142	229	6	shivlal	shivlal	PROPN
cana-3142	229	7	,	,	PUNCT
cana-3142	229	8	anil	anil	PROPN
cana-3142	229	9	saroliya	saroliya	PROPN
cana-3142	229	10	,	,	PUNCT
cana-3142	229	11	n.	n.	NOUN
cana-3142	229	12	chandramouli	chandramouli	PROPN
cana-3142	229	13	,	,	PUNCT
cana-3142	229	14	t.	t.	PROPN
cana-3142	229	15	rajasanthosh	rajasanthosh	PROPN
cana-3142	229	16	kumar	kumar	PROPN
cana-3142	229	17	,	,	PUNCT
cana-3142	229	18	m.	m.	NOUN
cana-3142	229	19	lakshmi	lakshmi	PROPN
cana-3142	229	20	,	,	PUNCT
cana-3142	229	21	s.	s.	PROPN
cana-3142	229	22	mary	mary	PROPN
cana-3142	229	23	,	,	PUNCT
cana-3142	229	24	and	and	CCONJ
cana-3142	229	25	mani	mani	ADJ
cana-3142	229	26	jayakumar	jayakumar	NOUN
cana-3142	229	27	.	.	PUNCT
cana-3142	230	1	"	"	PUNCT
cana-3142	230	2	smart	smart	ADJ
cana-3142	230	3	diagnostic	diagnostic	ADJ
cana-3142	230	4	expert	expert	NOUN
cana-3142	230	5	system	system	NOUN
cana-3142	230	6	for	for	ADP
cana-3142	230	7	defect	defect	NOUN
cana-3142	230	8	in	in	ADP
cana-3142	230	9	forging	forge	VERB
cana-3142	230	10	process	process	NOUN
cana-3142	230	11	by	by	ADP
cana-3142	230	12	using	use	VERB
cana-3142	230	13	machine	machine	NOUN
cana-3142	230	14	learning	learning	NOUN
cana-3142	230	15	process	process	NOUN
cana-3142	230	16	.	.	PUNCT
cana-3142	230	17	"	"	PUNCT
cana-3142	231	1	journal	journal	NOUN
cana-3142	231	2	of	of	ADP
cana-3142	231	3	nanomaterials	nanomaterial	NOUN
cana-3142	231	4	(	(	PUNCT
cana-3142	231	5	2022	2022	NUM
cana-3142	231	6	)	)	PUNCT
cana-3142	231	7	.	.	PUNCT
cana-3142	232	1	[	[	X
cana-3142	232	2	16	16	NUM
cana-3142	232	3	]	]	X
cana-3142	232	4	kayacan	kayacan	PROPN
cana-3142	232	5	,	,	PUNCT
cana-3142	232	6	erdal	erdal	NOUN
cana-3142	232	7	,	,	PUNCT
cana-3142	232	8	and	and	CCONJ
cana-3142	232	9	reinaldo	reinaldo	PROPN
cana-3142	232	10	maslim	maslim	PROPN
cana-3142	232	11	.	.	PUNCT
cana-3142	233	1	"	"	PUNCT
cana-3142	233	2	type-2	type-2	NUM
cana-3142	233	3	fuzzy	fuzzy	ADJ
cana-3142	233	4	logic	logic	NOUN
cana-3142	233	5	trajectory	trajectory	NOUN
cana-3142	233	6	tracking	tracking	NOUN
cana-3142	233	7	control	control	NOUN
cana-3142	233	8	of	of	ADP
cana-3142	233	9	quadrotor	quadrotor	PROPN
cana-3142	233	10	vtol	vtol	NOUN
cana-3142	233	11	aircraft	aircraft	NOUN
cana-3142	233	12	with	with	ADP
cana-3142	233	13	elliptic	elliptic	ADJ
cana-3142	233	14	membership	membership	NOUN
cana-3142	233	15	functions	function	NOUN
cana-3142	233	16	.	.	PUNCT
cana-3142	233	17	"	"	PUNCT
cana-3142	233	18	ieee	ieee	PROPN
cana-3142	233	19	/	/	SYM
cana-3142	233	20	asme	asme	PROPN
cana-3142	233	21	transactions	transaction	NOUN
cana-3142	233	22	on	on	ADP
cana-3142	233	23	mechatronics	mechatronic	NOUN
cana-3142	233	24	22.1	22.1	NUM
cana-3142	233	25	(	(	PUNCT
cana-3142	233	26	2016	2016	NUM
cana-3142	233	27	):	):	PUNCT
cana-3142	233	28	339	339	NUM
cana-3142	233	29	-	-	SYM
cana-3142	233	30	348	348	NUM
cana-3142	233	31	.	.	PUNCT
cana-3142	234	1	[	[	X
cana-3142	234	2	17	17	NUM
cana-3142	234	3	]	]	X
cana-3142	234	4	beheshtikhoo	beheshtikhoo	PROPN
cana-3142	234	5	,	,	PUNCT
cana-3142	234	6	ali	ali	PROPN
cana-3142	234	7	,	,	PUNCT
cana-3142	234	8	mahdi	mahdi	PROPN
cana-3142	234	9	pourgholi	pourgholi	PROPN
cana-3142	234	10	,	,	PUNCT
cana-3142	234	11	and	and	CCONJ
cana-3142	234	12	iman	iman	PROPN
cana-3142	234	13	khazaee	khazaee	PROPN
cana-3142	234	14	.	.	PUNCT
cana-3142	235	1	"	"	PUNCT
cana-3142	235	2	design	design	NOUN
cana-3142	235	3	of	of	ADP
cana-3142	235	4	type-2	type-2	NUM
cana-3142	235	5	fuzzy	fuzzy	ADJ
cana-3142	235	6	logic	logic	NOUN
cana-3142	235	7	controller	controller	NOUN
cana-3142	235	8	in	in	ADP
cana-3142	235	9	a	a	DET
cana-3142	235	10	smart	smart	ADJ
cana-3142	235	11	home	home	NOUN
cana-3142	235	12	energy	energy	NOUN
cana-3142	235	13	management	management	NOUN
cana-3142	235	14	system	system	NOUN
cana-3142	235	15	with	with	ADP
cana-3142	235	16	a	a	DET
cana-3142	235	17	combination	combination	NOUN
cana-3142	235	18	of	of	ADP
cana-3142	235	19	renewable	renewable	ADJ
cana-3142	235	20	energy	energy	NOUN
cana-3142	235	21	and	and	CCONJ
cana-3142	235	22	an	an	DET
cana-3142	235	23	electric	electric	ADJ
cana-3142	235	24	vehicle	vehicle	NOUN
cana-3142	235	25	.	.	PUNCT
cana-3142	235	26	"	"	PUNCT
cana-3142	236	1	journal	journal	NOUN
cana-3142	236	2	of	of	ADP
cana-3142	236	3	building	build	VERB
cana-3142	236	4	engineering	engineer	VERB
cana-3142	236	5	68	68	NUM
cana-3142	236	6	(	(	PUNCT
cana-3142	236	7	2023	2023	NUM
cana-3142	236	8	):	):	PUNCT
cana-3142	236	9	106097	106097	NUM
cana-3142	236	10	.	.	PUNCT
cana-3142	237	1	[	[	X
cana-3142	237	2	18	18	NUM
cana-3142	237	3	]	]	X
cana-3142	237	4	lin	lin	PROPN
cana-3142	237	5	,	,	PUNCT
cana-3142	237	6	cheng	cheng	PROPN
cana-3142	237	7	-	-	PUNCT
cana-3142	237	8	jian	jian	PROPN
cana-3142	237	9	,	,	PUNCT
cana-3142	237	10	et	et	PROPN
cana-3142	237	11	al	al	PROPN
cana-3142	237	12	.	.	PUNCT
cana-3142	238	1	"	"	PUNCT
cana-3142	238	2	using	use	VERB
cana-3142	238	3	an	an	DET
cana-3142	238	4	interval	interval	NOUN
cana-3142	238	5	type-2	type-2	NUM
cana-3142	238	6	fuzzy	fuzzy	ADJ
cana-3142	238	7	neural	neural	ADJ
cana-3142	238	8	network	network	NOUN
cana-3142	238	9	and	and	CCONJ
cana-3142	238	10	tool	tool	NOUN
cana-3142	238	11	chips	chip	NOUN
cana-3142	238	12	for	for	ADP
cana-3142	238	13	flank	flank	ADJ
cana-3142	238	14	wear	wear	NOUN
cana-3142	238	15	prediction	prediction	NOUN
cana-3142	238	16	.	.	PUNCT
cana-3142	238	17	"	"	PUNCT
cana-3142	239	1	ieee	ieee	NOUN
cana-3142	239	2	access	access	NOUN
cana-3142	239	3	8	8	NUM
cana-3142	239	4	(	(	PUNCT
cana-3142	239	5	2020	2020	NUM
cana-3142	239	6	):	):	PUNCT
cana-3142	239	7	122626	122626	NUM
cana-3142	239	8	-	-	SYM
cana-3142	239	9	122640	122640	NUM
cana-3142	239	10	.	.	PUNCT
cana-3142	240	1	[	[	X
cana-3142	240	2	19	19	NUM
cana-3142	240	3	]	]	SYM
cana-3142	240	4	karrthik	karrthik	PROPN
cana-3142	240	5	,	,	PUNCT
cana-3142	240	6	r.	r.	PROPN
cana-3142	240	7	s.	s.	PROPN
cana-3142	240	8	,	,	PUNCT
cana-3142	240	9	and	and	CCONJ
cana-3142	240	10	n.	n.	PROPN
cana-3142	240	11	thinesh	thinesh	NOUN
cana-3142	240	12	.	.	PUNCT
cana-3142	241	1	"	"	PUNCT
cana-3142	241	2	development	development	NOUN
cana-3142	241	3	of	of	ADP
cana-3142	241	4	a	a	DET
cana-3142	241	5	fuzzy	fuzzy	ADJ
cana-3142	241	6	logic	logic	NOUN
cana-3142	241	7	model	model	NOUN
cana-3142	241	8	to	to	PART
cana-3142	241	9	predict	predict	VERB
cana-3142	241	10	the	the	DET
cana-3142	241	11	force	force	NOUN
cana-3142	241	12	measurement	measurement	NOUN
cana-3142	241	13	of	of	ADP
cana-3142	241	14	a	a	DET
cana-3142	241	15	cemented	cement	VERB
cana-3142	241	16	carbide	carbide	NOUN
cana-3142	241	17	material	material	NOUN
cana-3142	241	18	cutting	cut	VERB
cana-3142	241	19	tool	tool	NOUN
cana-3142	241	20	.	.	PUNCT
cana-3142	241	21	"	"	PUNCT
cana-3142	242	1	(	(	PUNCT
cana-3142	242	2	2017	2017	NUM
cana-3142	242	3	)	)	PUNCT
cana-3142	242	4	.	.	PUNCT
cana-3142	243	1	[	[	X
cana-3142	243	2	20	20	NUM
cana-3142	243	3	]	]	X
cana-3142	243	4	asilturk	asilturk	PROPN
cana-3142	243	5	,	,	PUNCT
cana-3142	243	6	i̇lhan	i̇lhan	ADJ
cana-3142	243	7	,	,	PUNCT
cana-3142	243	8	and	and	CCONJ
cana-3142	243	9	mehmet	mehmet	PROPN
cana-3142	243	10	alper	alper	PROPN
cana-3142	243	11	i̇nce	i̇nce	PROPN
cana-3142	243	12	.	.	PUNCT
cana-3142	244	1	"	"	PUNCT
cana-3142	244	2	fuzzy	fuzzy	ADJ
cana-3142	244	3	logic	logic	NOUN
cana-3142	244	4	modelling	modelling	NOUN
cana-3142	244	5	of	of	ADP
cana-3142	244	6	the	the	DET
cana-3142	244	7	effect	effect	NOUN
cana-3142	244	8	of	of	ADP
cana-3142	244	9	tool	tool	NOUN
cana-3142	244	10	tip	tip	NOUN
cana-3142	244	11	radius	radius	NOUN
cana-3142	244	12	on	on	ADP
cana-3142	244	13	surface	surface	NOUN
cana-3142	244	14	roughness	roughness	NOUN
cana-3142	244	15	in	in	ADP
cana-3142	244	16	machining	machine	VERB
cana-3142	244	17	co28cr6mo	co28cr6mo	ADV
cana-3142	244	18	wrought	wrought	ADJ
cana-3142	244	19	steels	steel	NOUN
cana-3142	244	20	in	in	ADP
cana-3142	244	21	cnc	cnc	ADJ
cana-3142	244	22	turning	turning	NOUN
cana-3142	244	23	.	.	PUNCT
cana-3142	244	24	"	"	PUNCT
cana-3142	245	1	avrupa	avrupa	PROPN
cana-3142	245	2	bilim	bilim	PROPN
cana-3142	245	3	ve	ve	AUX
cana-3142	245	4	teknoloji	teknoloji	PROPN
cana-3142	245	5	dergisi	dergisi	ADJ
cana-3142	245	6	45	45	NUM
cana-3142	245	7	(	(	PUNCT
cana-3142	245	8	2022	2022	NUM
cana-3142	245	9	):	):	PUNCT
cana-3142	245	10	151	151	NUM
cana-3142	245	11	-	-	SYM
cana-3142	245	12	158	158	NUM
cana-3142	245	13	.	.	PUNCT
cana-3142	246	1	[	[	X
cana-3142	246	2	21	21	NUM
cana-3142	246	3	]	]	X
cana-3142	246	4	tseng	tseng	PROPN
cana-3142	246	5	,	,	PUNCT
cana-3142	246	6	tzu	tzu	PROPN
cana-3142	246	7	-	-	PUNCT
cana-3142	246	8	liang	liang	PROPN
cana-3142	246	9	,	,	PUNCT
cana-3142	246	10	fuhua	fuhua	PROPN
cana-3142	246	11	jiang	jiang	PROPN
cana-3142	246	12	,	,	PUNCT
cana-3142	246	13	and	and	CCONJ
cana-3142	246	14	yongjin	yongjin	PROPN
cana-3142	246	15	kwon	kwon	PROPN
cana-3142	246	16	.	.	PUNCT
cana-3142	247	1	"	"	PUNCT
cana-3142	247	2	hybrid	hybrid	ADJ
cana-3142	247	3	type	type	NOUN
cana-3142	247	4	ii	ii	NOUN
cana-3142	247	5	fuzzy	fuzzy	ADJ
cana-3142	247	6	system	system	NOUN
cana-3142	247	7	&	&	CCONJ
cana-3142	247	8	data	data	PROPN
cana-3142	247	9	mining	mining	NOUN
cana-3142	247	10	approach	approach	NOUN
cana-3142	247	11	for	for	ADP
cana-3142	247	12	surface	surface	NOUN
cana-3142	247	13	finish	finish	NOUN
cana-3142	247	14	.	.	PUNCT
cana-3142	247	15	"	"	PUNCT
cana-3142	248	1	journal	journal	NOUN
cana-3142	248	2	of	of	ADP
cana-3142	248	3	computational	computational	ADJ
cana-3142	248	4	design	design	NOUN
cana-3142	248	5	and	and	CCONJ
cana-3142	248	6	engineering	engineering	NOUN
cana-3142	248	7	2.3	2.3	NUM
cana-3142	248	8	(	(	PUNCT
cana-3142	248	9	2015	2015	NUM
cana-3142	248	10	):	):	PUNCT
cana-3142	248	11	137	137	NUM
cana-3142	248	12	-	-	SYM
cana-3142	248	13	147	147	NUM
cana-3142	248	14	.	.	PUNCT
cana-3142	249	1	[	[	X
cana-3142	249	2	22	22	NUM
cana-3142	249	3	]	]	SYM
cana-3142	249	4	li	li	PROPN
cana-3142	249	5	,	,	PUNCT
cana-3142	249	6	rui	rui	PROPN
cana-3142	249	7	,	,	PUNCT
cana-3142	249	8	et	et	PROPN
cana-3142	249	9	al	al	PROPN
cana-3142	249	10	.	.	PUNCT
cana-3142	250	1	"	"	PUNCT
cana-3142	250	2	a	a	DET
cana-3142	250	3	learning	learning	NOUN
cana-3142	250	4	-	-	PUNCT
cana-3142	250	5	based	base	VERB
cana-3142	250	6	memetic	memetic	ADJ
cana-3142	250	7	algorithm	algorithm	NOUN
cana-3142	250	8	for	for	ADP
cana-3142	250	9	energy	energy	NOUN
cana-3142	250	10	-	-	PUNCT
cana-3142	250	11	efficient	efficient	ADJ
cana-3142	250	12	flexible	flexible	ADJ
cana-3142	250	13	job	job	NOUN
cana-3142	250	14	-	-	PUNCT
cana-3142	250	15	shop	shop	NOUN
cana-3142	250	16	scheduling	scheduling	NOUN
cana-3142	250	17	with	with	ADP
cana-3142	250	18	type-2	type-2	NUM
cana-3142	250	19	fuzzy	fuzzy	ADJ
cana-3142	250	20	processing	processing	NOUN
cana-3142	250	21	time	time	NOUN
cana-3142	250	22	.	.	PUNCT
cana-3142	250	23	"	"	PUNCT
cana-3142	251	1	ieee	ieee	NOUN
cana-3142	251	2	transactions	transaction	NOUN
cana-3142	251	3	on	on	ADP
cana-3142	251	4	evolutionary	evolutionary	ADJ
cana-3142	251	5	computation	computation	NOUN
cana-3142	251	6	27.3	27.3	NUM
cana-3142	251	7	(	(	PUNCT
cana-3142	251	8	2022	2022	NUM
cana-3142	251	9	):	):	PUNCT
cana-3142	251	10	610	610	NUM
cana-3142	251	11	-	-	SYM
cana-3142	251	12	620	620	NUM
cana-3142	251	13	.	.	PUNCT
cana-3142	252	1	[	[	X
cana-3142	252	2	23	23	NUM
cana-3142	252	3	]	]	X
cana-3142	252	4	mewada	mewada	PROPN
cana-3142	252	5	,	,	PUNCT
cana-3142	252	6	shivlal	shivlal	PROPN
cana-3142	252	7	,	,	PUNCT
cana-3142	252	8	et	et	PROPN
cana-3142	252	9	al	al	PROPN
cana-3142	252	10	.	.	PUNCT
cana-3142	253	1	"	"	PUNCT
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cana-3142	253	4	expert	expert	NOUN
cana-3142	253	5	system	system	NOUN
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cana-3142	253	7	defect	defect	NOUN
cana-3142	253	8	in	in	ADP
cana-3142	253	9	forging	forge	VERB
cana-3142	253	10	process	process	NOUN
cana-3142	253	11	by	by	ADP
cana-3142	253	12	using	use	VERB
cana-3142	253	13	machine	machine	NOUN
cana-3142	253	14	learning	learning	NOUN
cana-3142	253	15	process	process	NOUN
cana-3142	253	16	.	.	PUNCT
cana-3142	253	17	"	"	PUNCT
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cana-3142	254	5	(	(	PUNCT
cana-3142	254	6	2022	2022	NUM
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cana-3142	254	8	2567194	2567194	NUM
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cana-3142	255	2	24	24	NUM
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cana-3142	256	1	"	"	PUNCT
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cana-3142	256	3	force	force	NOUN
cana-3142	256	4	estimation	estimation	NOUN
cana-3142	256	5	-	-	PUNCT
cana-3142	256	6	based	base	VERB
cana-3142	256	7	bilateral	bilateral	ADJ
cana-3142	256	8	teleoperation	teleoperation	NOUN
cana-3142	256	9	applying	apply	VERB
cana-3142	256	10	type2	type2	NOUN
cana-3142	256	11	fuzzy	fuzzy	ADJ
cana-3142	256	12	logic	logic	NOUN
cana-3142	256	13	and	and	CCONJ
cana-3142	256	14	moving	move	VERB
cana-3142	256	15	horizon	horizon	NOUN
cana-3142	256	16	estimation	estimation	NOUN
cana-3142	256	17	.	.	PUNCT
cana-3142	256	18	"	"	PUNCT
cana-3142	257	1	arxiv	arxiv	PROPN
cana-3142	257	2	preprint	preprint	VERB
cana-3142	257	3	arxiv:1805.06634	arxiv:1805.06634	PROPN
cana-3142	257	4	(	(	PUNCT
cana-3142	257	5	2018	2018	NUM
cana-3142	257	6	)	)	PUNCT
cana-3142	257	7	.	.	PUNCT
cana-3142	258	1	[	[	X
cana-3142	258	2	25	25	NUM
cana-3142	258	3	]	]	X
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cana-3142	258	5	patro	patro	PROPN
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cana-3142	258	7	r.	r.	PROPN
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cana-3142	258	16	t.	t.	PROPN
cana-3142	258	17	r.	r.	PROPN
cana-3142	258	18	kumar	kumar	PROPN
cana-3142	258	19	and	and	CCONJ
cana-3142	258	20	m.	m.	PROPN
cana-3142	258	21	v.	v.	PROPN
cana-3142	258	22	s.	s.	PROPN
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cana-3142	258	25	"	"	PUNCT
cana-3142	258	26	a	a	DET
cana-3142	258	27	hybrid	hybrid	ADJ
cana-3142	258	28	approach	approach	NOUN
cana-3142	258	29	estimates	estimate	VERB
cana-3142	258	30	the	the	DET
cana-3142	258	31	real	real	ADJ
cana-3142	258	32	-	-	PUNCT
cana-3142	258	33	time	time	NOUN
cana-3142	258	34	health	health	NOUN
cana-3142	258	35	state	state	NOUN
cana-3142	258	36	of	of	ADP
cana-3142	258	37	a	a	DET
cana-3142	258	38	bearing	bearing	NOUN
cana-3142	258	39	by	by	ADP
cana-3142	258	40	accelerated	accelerate	VERB
cana-3142	258	41	degradation	degradation	NOUN
cana-3142	258	42	tests	test	NOUN
cana-3142	258	43	,	,	PUNCT
cana-3142	258	44	machine	machine	NOUN
cana-3142	258	45	learning	learning	NOUN
cana-3142	258	46	,	,	PUNCT
cana-3142	258	47	"	"	PUNCT
cana-3142	258	48	2021	2021	NUM
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cana-3142	258	56	computing	computing	NOUN
cana-3142	258	57	,	,	PUNCT
cana-3142	258	58	electrical	electrical	ADJ
cana-3142	258	59	and	and	CCONJ
cana-3142	258	60	electronics	electronics	NOUN
cana-3142	258	61	(	(	PUNCT
cana-3142	258	62	icstcee	icstcee	NOUN
cana-3142	258	63	)	)	PUNCT
cana-3142	258	64	,	,	PUNCT
cana-3142	258	65	bengaluru	bengaluru	PROPN
cana-3142	258	66	,	,	PUNCT
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cana-3142	258	70	,	,	PUNCT
cana-3142	258	71	pp	pp	ADJ
cana-3142	258	72	.	.	PUNCT
cana-3142	259	1	1	1	NUM
cana-3142	259	2	-	-	SYM
cana-3142	259	3	9	9	NUM
cana-3142	259	4	,	,	PUNCT
cana-3142	259	5	doi	doi	NOUN
cana-3142	259	6	:	:	PUNCT
cana-3142	259	7	10.1109	10.1109	NUM
cana-3142	259	8	/	/	SYM
cana-3142	259	9	icstcee54422.2021.9708591	icstcee54422.2021.9708591	PROPN
cana-3142	259	10	.	.	PUNCT