id	sid	tid	token	lemma	pos
cana-790	1	1	communications	communication	NOUN
cana-790	1	2	on	on	ADP
cana-790	1	3	applied	apply	VERB
cana-790	1	4	nonlinear	nonlinear	ADJ
cana-790	1	5	analysis	analysis	NOUN
cana-790	1	6	issn	issn	NOUN
cana-790	1	7	:	:	PUNCT
cana-790	1	8	1074	1074	NUM
cana-790	1	9	-	-	PUNCT
cana-790	1	10	133x	133x	NUM
cana-790	1	11	vol	vol	NOUN
cana-790	1	12	31	31	NUM
cana-790	1	13	no	no	NOUN
cana-790	1	14	.	.	PUNCT
cana-790	2	1	3s	3s	NUM
cana-790	2	2	(	(	PUNCT
cana-790	2	3	2024	2024	NUM
cana-790	2	4	)	)	PUNCT
cana-790	2	5	405	405	NUM
cana-790	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	2	7	autism	autism	NOUN
cana-790	2	8	detection	detection	NOUN
cana-790	2	9	using	use	VERB
cana-790	2	10	fuzzy	fuzzy	ADJ
cana-790	2	11	β	β	NOUN
cana-790	2	12	-	-	ADJ
cana-790	2	13	neighborhood	neighborhood	NOUN
cana-790	2	14	based	base	VERB
cana-790	2	15	soft	soft	ADJ
cana-790	2	16	rough	rough	ADJ
cana-790	2	17	sets	set	NOUN
cana-790	2	18	praba	praba	NOUN
cana-790	2	19	b1	b1	PROPN
cana-790	2	20	,	,	PUNCT
cana-790	2	21	balambal	balambal	ADJ
cana-790	2	22	suryanarayanan2	suryanarayanan2	NOUN
cana-790	2	23	1	1	NUM
cana-790	2	24	department	department	NOUN
cana-790	2	25	of	of	ADP
cana-790	2	26	mathematics	mathematic	NOUN
cana-790	2	27	,	,	PUNCT
cana-790	2	28	sri	sri	PROPN
cana-790	2	29	siva	siva	PROPN
cana-790	2	30	subramaniya	subramaniya	PROPN
cana-790	2	31	nadar	nadar	PROPN
cana-790	2	32	college	college	PROPN
cana-790	2	33	of	of	ADP
cana-790	2	34	engineering	engineering	PROPN
cana-790	2	35	,	,	PUNCT
cana-790	2	36	kalavakkam603110	kalavakkam603110	PROPN
cana-790	2	37	;	;	PUNCT
cana-790	2	38	prabab@ssn.edu.in	prabab@ssn.edu.in	PROPN
cana-790	2	39	2sri	2sri	PROPN
cana-790	2	40	siva	siva	PROPN
cana-790	2	41	subramaniya	subramaniya	PROPN
cana-790	2	42	nadar	nadar	PROPN
cana-790	2	43	college	college	PROPN
cana-790	2	44	of	of	ADP
cana-790	2	45	engineering	engineering	PROPN
cana-790	2	46	,	,	PUNCT
cana-790	2	47	kalavakkam603110	kalavakkam603110	PROPN
cana-790	2	48	;	;	PUNCT
cana-790	2	49	balambal19013@ece.ssn.edu.in	balambal19013@ece.ssn.edu.in	NOUN
cana-790	2	50	article	article	NOUN
cana-790	2	51	history	history	NOUN
cana-790	2	52	:	:	PUNCT
cana-790	2	53	received	receive	VERB
cana-790	2	54	:	:	PUNCT
cana-790	2	55	14	14	NUM
cana-790	2	56	-	-	PUNCT
cana-790	2	57	04	04	NUM
cana-790	2	58	-	-	PUNCT
cana-790	2	59	2024	2024	NUM
cana-790	2	60	revised	revise	VERB
cana-790	2	61	:	:	PUNCT
cana-790	2	62	29	29	NUM
cana-790	2	63	-	-	SYM
cana-790	2	64	05	05	NUM
cana-790	2	65	-	-	PUNCT
cana-790	2	66	2024	2024	NUM
cana-790	2	67	accepted	accept	VERB
cana-790	2	68	:	:	PUNCT
cana-790	2	69	15	15	NUM
cana-790	2	70	-	-	SYM
cana-790	2	71	06	06	NUM
cana-790	2	72	-	-	PUNCT
cana-790	2	73	2024	2024	NUM
cana-790	2	74	abstract	abstract	NOUN
cana-790	2	75	:	:	PUNCT
cana-790	2	76	autism	autism	NOUN
cana-790	2	77	spectrum	spectrum	NOUN
cana-790	2	78	disorder	disorder	NOUN
cana-790	2	79	refers	refer	VERB
cana-790	2	80	to	to	ADP
cana-790	2	81	a	a	DET
cana-790	2	82	variety	variety	NOUN
cana-790	2	83	of	of	ADP
cana-790	2	84	conditions	condition	NOUN
cana-790	2	85	represented	represent	VERB
cana-790	2	86	by	by	ADP
cana-790	2	87	complications	complication	NOUN
cana-790	2	88	in	in	ADP
cana-790	2	89	social	social	ADJ
cana-790	2	90	skills	skill	NOUN
cana-790	2	91	,	,	PUNCT
cana-790	2	92	limited	limited	ADJ
cana-790	2	93	interests	interest	NOUN
cana-790	2	94	and	and	CCONJ
cana-790	2	95	communication	communication	NOUN
cana-790	2	96	that	that	PRON
cana-790	2	97	’s	’	VERB
cana-790	2	98	majoritarily	majoritarily	PROPN
cana-790	2	99	non	non	ADJ
cana-790	2	100	-	-	ADJ
cana-790	2	101	verbal	verbal	ADJ
cana-790	2	102	.	.	PUNCT
cana-790	3	1	the	the	DET
cana-790	3	2	early	early	ADJ
cana-790	3	3	signs	sign	NOUN
cana-790	3	4	and	and	CCONJ
cana-790	3	5	symptoms	symptom	NOUN
cana-790	3	6	of	of	ADP
cana-790	3	7	the	the	DET
cana-790	3	8	disorder	disorder	NOUN
cana-790	3	9	were	be	AUX
cana-790	3	10	found	find	VERB
cana-790	3	11	to	to	PART
cana-790	3	12	be	be	AUX
cana-790	3	13	noticeable	noticeable	ADJ
cana-790	3	14	at	at	ADP
cana-790	3	15	a	a	DET
cana-790	3	16	young	young	ADJ
cana-790	3	17	age	age	NOUN
cana-790	3	18	.	.	PUNCT
cana-790	4	1	however	however	ADV
cana-790	4	2	,	,	PUNCT
cana-790	4	3	the	the	DET
cana-790	4	4	clinical	clinical	ADJ
cana-790	4	5	tests	test	NOUN
cana-790	4	6	take	take	VERB
cana-790	4	7	longer	long	ADJ
cana-790	4	8	to	to	PART
cana-790	4	9	diagnose	diagnose	VERB
cana-790	4	10	and	and	CCONJ
cana-790	4	11	come	come	VERB
cana-790	4	12	at	at	ADP
cana-790	4	13	a	a	DET
cana-790	4	14	higher	high	ADJ
cana-790	4	15	cost	cost	NOUN
cana-790	4	16	.	.	PUNCT
cana-790	5	1	as	as	ADP
cana-790	5	2	a	a	DET
cana-790	5	3	result	result	NOUN
cana-790	5	4	,	,	PUNCT
cana-790	5	5	in	in	ADP
cana-790	5	6	recent	recent	ADJ
cana-790	5	7	years	year	NOUN
cana-790	5	8	,	,	PUNCT
cana-790	5	9	several	several	ADJ
cana-790	5	10	studies	study	NOUN
cana-790	5	11	have	have	AUX
cana-790	5	12	been	be	AUX
cana-790	5	13	made	make	VERB
cana-790	5	14	to	to	PART
cana-790	5	15	enable	enable	VERB
cana-790	5	16	autism	autism	NOUN
cana-790	5	17	detection	detection	NOUN
cana-790	5	18	through	through	ADP
cana-790	5	19	early	early	ADJ
cana-790	5	20	intervention	intervention	NOUN
cana-790	5	21	.	.	PUNCT
cana-790	6	1	rough	rough	ADJ
cana-790	6	2	set	set	NOUN
cana-790	6	3	theory	theory	NOUN
cana-790	6	4	is	be	AUX
cana-790	6	5	one	one	NUM
cana-790	6	6	such	such	ADJ
cana-790	6	7	efficient	efficient	ADJ
cana-790	6	8	mathematical	mathematical	ADJ
cana-790	6	9	tool	tool	NOUN
cana-790	6	10	for	for	ADP
cana-790	6	11	this	this	DET
cana-790	6	12	application	application	NOUN
cana-790	6	13	.	.	PUNCT
cana-790	7	1	this	this	DET
cana-790	7	2	paper	paper	NOUN
cana-790	7	3	introduces	introduce	VERB
cana-790	7	4	the	the	DET
cana-790	7	5	concept	concept	NOUN
cana-790	7	6	of	of	ADP
cana-790	7	7	fuzzy	fuzzy	ADJ
cana-790	7	8	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	7	9	based	base	VERB
cana-790	7	10	soft	soft	ADJ
cana-790	7	11	rough	rough	ADJ
cana-790	7	12	sets	set	NOUN
cana-790	7	13	(	(	PUNCT
cana-790	7	14	𝛽	𝛽	NOUN
cana-790	7	15	−	−	PROPN
cana-790	7	16	𝑅𝑆	𝑅𝑆	PROPN
cana-790	7	17	)	)	PUNCT
cana-790	7	18	.	.	PUNCT
cana-790	8	1	the	the	DET
cana-790	8	2	major	major	ADJ
cana-790	8	3	advantage	advantage	NOUN
cana-790	8	4	of	of	ADP
cana-790	8	5	introducing	introduce	VERB
cana-790	8	6	this	this	DET
cana-790	8	7	concept	concept	NOUN
cana-790	8	8	lies	lie	VERB
cana-790	8	9	in	in	ADP
cana-790	8	10	the	the	DET
cana-790	8	11	construction	construction	NOUN
cana-790	8	12	of	of	ADP
cana-790	8	13	fuzzy	fuzzy	ADJ
cana-790	8	14	𝛽neighborhood	𝛽neighborhood	NOUN
cana-790	8	15	of	of	ADP
cana-790	8	16	each	each	DET
cana-790	8	17	object	object	NOUN
cana-790	8	18	obtained	obtain	VERB
cana-790	8	19	through	through	ADP
cana-790	8	20	its	its	PRON
cana-790	8	21	𝛽-reduct	𝛽-reduct	NOUN
cana-790	8	22	.	.	PUNCT
cana-790	9	1	this	this	DET
cana-790	9	2	neighborhood	neighborhood	NOUN
cana-790	9	3	captures	capture	VERB
cana-790	9	4	those	those	DET
cana-790	9	5	objects	object	NOUN
cana-790	9	6	having	have	VERB
cana-790	9	7	similar	similar	ADJ
cana-790	9	8	characteristics	characteristic	NOUN
cana-790	9	9	with	with	ADP
cana-790	9	10	respect	respect	NOUN
cana-790	9	11	to	to	ADP
cana-790	9	12	the	the	DET
cana-790	9	13	significant	significant	ADJ
cana-790	9	14	attributes	attribute	NOUN
cana-790	9	15	.	.	PUNCT
cana-790	10	1	the	the	DET
cana-790	10	2	application	application	NOUN
cana-790	10	3	of	of	ADP
cana-790	10	4	this	this	DET
cana-790	10	5	model	model	NOUN
cana-790	10	6	is	be	AUX
cana-790	10	7	highlighted	highlight	VERB
cana-790	10	8	through	through	ADP
cana-790	10	9	autism	autism	NOUN
cana-790	10	10	detection	detection	NOUN
cana-790	10	11	by	by	ADP
cana-790	10	12	obtaining	obtain	VERB
cana-790	10	13	the	the	DET
cana-790	10	14	neighborhood	neighborhood	NOUN
cana-790	10	15	of	of	ADP
cana-790	10	16	the	the	DET
cana-790	10	17	given	give	VERB
cana-790	10	18	image	image	NOUN
cana-790	10	19	.	.	PUNCT
cana-790	11	1	the	the	DET
cana-790	11	2	proposed	propose	VERB
cana-790	11	3	model	model	NOUN
cana-790	11	4	also	also	ADV
cana-790	11	5	efficiently	efficiently	ADV
cana-790	11	6	captures	capture	VERB
cana-790	11	7	the	the	DET
cana-790	11	8	various	various	ADJ
cana-790	11	9	levels	level	NOUN
cana-790	11	10	of	of	ADP
cana-790	11	11	autism	autism	NOUN
cana-790	11	12	with	with	ADP
cana-790	11	13	great	great	ADJ
cana-790	11	14	accuracy	accuracy	NOUN
cana-790	11	15	.	.	PUNCT
cana-790	12	1	the	the	DET
cana-790	12	2	validation	validation	NOUN
cana-790	12	3	is	be	AUX
cana-790	12	4	carried	carry	VERB
cana-790	12	5	out	out	ADP
cana-790	12	6	by	by	ADP
cana-790	12	7	taking	take	VERB
cana-790	12	8	real	real	ADJ
cana-790	12	9	time	time	NOUN
cana-790	12	10	data	datum	NOUN
cana-790	12	11	.	.	PUNCT
cana-790	13	1	keywords	keyword	NOUN
cana-790	13	2	:	:	PUNCT
cana-790	13	3	autism	autism	NOUN
cana-790	13	4	,	,	PUNCT
cana-790	13	5	fuzzy	fuzzy	ADJ
cana-790	13	6	sets	set	NOUN
cana-790	13	7	,	,	PUNCT
cana-790	13	8	rough	rough	ADJ
cana-790	13	9	sets	set	NOUN
cana-790	13	10	,	,	PUNCT
cana-790	13	11	𝛽	𝛽	PROPN
cana-790	13	12	−neighborhood	−neighborhood	PROPN
cana-790	13	13	,	,	PUNCT
cana-790	13	14	lower	low	ADJ
cana-790	13	15	approximation	approximation	NOUN
cana-790	13	16	,	,	PUNCT
cana-790	13	17	upper	upper	ADJ
cana-790	13	18	approximation	approximation	NOUN
cana-790	13	19	.	.	PUNCT
cana-790	14	1	1	1	X
cana-790	14	2	.	.	X
cana-790	14	3	introduction	introduction	NOUN
cana-790	14	4	the	the	DET
cana-790	14	5	uniqueness	uniqueness	NOUN
cana-790	14	6	of	of	ADP
cana-790	14	7	human	human	ADJ
cana-790	14	8	beings	being	NOUN
cana-790	14	9	as	as	SCONJ
cana-790	14	10	contrasted	contrast	VERB
cana-790	14	11	to	to	ADP
cana-790	14	12	other	other	ADJ
cana-790	14	13	primates	primate	NOUN
cana-790	14	14	can	can	AUX
cana-790	14	15	be	be	AUX
cana-790	14	16	attributed	attribute	VERB
cana-790	14	17	to	to	ADP
cana-790	14	18	the	the	DET
cana-790	14	19	fascinating	fascinating	ADJ
cana-790	14	20	cognitive	cognitive	ADJ
cana-790	14	21	functionalities	functionality	NOUN
cana-790	14	22	and	and	CCONJ
cana-790	14	23	mysteries	mystery	NOUN
cana-790	14	24	of	of	ADP
cana-790	14	25	the	the	DET
cana-790	14	26	human	human	ADJ
cana-790	14	27	brain	brain	NOUN
cana-790	14	28	.	.	PUNCT
cana-790	15	1	at	at	ADP
cana-790	15	2	times	time	NOUN
cana-790	15	3	,	,	PUNCT
cana-790	15	4	damage	damage	NOUN
cana-790	15	5	inflicted	inflict	VERB
cana-790	15	6	to	to	ADP
cana-790	15	7	a	a	DET
cana-790	15	8	characteristic	characteristic	ADJ
cana-790	15	9	part	part	NOUN
cana-790	15	10	of	of	ADP
cana-790	15	11	the	the	DET
cana-790	15	12	brain	brain	NOUN
cana-790	16	1	[	[	X
cana-790	16	2	18	18	NUM
cana-790	16	3	]	]	PUNCT
cana-790	16	4	adds	add	VERB
cana-790	16	5	to	to	ADP
cana-790	16	6	the	the	DET
cana-790	16	7	brain	brain	NOUN
cana-790	16	8	’s	’s	PART
cana-790	16	9	enigma	enigma	NOUN
cana-790	16	10	,	,	PUNCT
cana-790	16	11	resulting	result	VERB
cana-790	16	12	in	in	ADP
cana-790	16	13	intriguing	intriguing	ADJ
cana-790	16	14	disorders	disorder	NOUN
cana-790	16	15	where	where	SCONJ
cana-790	16	16	a	a	DET
cana-790	16	17	person	person	NOUN
cana-790	16	18	sees	see	VERB
cana-790	16	19	sounds	sound	NOUN
cana-790	16	20	,	,	PUNCT
cana-790	16	21	hears	hear	VERB
cana-790	16	22	shapes	shape	NOUN
cana-790	16	23	,	,	PUNCT
cana-790	16	24	touches	touch	VERB
cana-790	16	25	emotions	emotion	NOUN
cana-790	16	26	,	,	PUNCT
cana-790	16	27	and	and	CCONJ
cana-790	16	28	feels	feel	VERB
cana-790	16	29	limbs	limb	NOUN
cana-790	16	30	[	[	X
cana-790	16	31	15	15	NUM
cana-790	16	32	]	]	PUNCT
cana-790	16	33	.	.	PUNCT
cana-790	17	1	the	the	DET
cana-790	17	2	difficulties	difficulty	NOUN
cana-790	17	3	in	in	ADP
cana-790	17	4	cognitive	cognitive	ADJ
cana-790	17	5	,	,	PUNCT
cana-790	17	6	social	social	ADJ
cana-790	17	7	,	,	PUNCT
cana-790	17	8	and	and	CCONJ
cana-790	17	9	emotional	emotional	ADJ
cana-790	17	10	functioning	functioning	NOUN
cana-790	17	11	,	,	PUNCT
cana-790	17	12	influenced	influence	VERB
cana-790	17	13	by	by	ADP
cana-790	17	14	genetic	genetic	ADJ
cana-790	17	15	and	and	CCONJ
cana-790	17	16	environmental	environmental	ADJ
cana-790	17	17	factors	factor	NOUN
cana-790	17	18	give	give	VERB
cana-790	17	19	rise	rise	NOUN
cana-790	17	20	to	to	ADP
cana-790	17	21	a	a	DET
cana-790	17	22	collection	collection	NOUN
cana-790	17	23	of	of	ADP
cana-790	17	24	disorders	disorder	NOUN
cana-790	17	25	called	call	VERB
cana-790	17	26	neuro	neuro	NOUN
cana-790	17	27	-	-	PUNCT
cana-790	17	28	developmental	developmental	ADJ
cana-790	17	29	disorders	disorder	NOUN
cana-790	17	30	.	.	PUNCT
cana-790	18	1	the	the	DET
cana-790	18	2	most	most	ADV
cana-790	18	3	known	know	VERB
cana-790	18	4	neurodevelopmental	neurodevelopmental	ADJ
cana-790	18	5	disorders	disorder	NOUN
cana-790	18	6	include	include	VERB
cana-790	18	7	adhd	adhd	NOUN
cana-790	18	8	,	,	PUNCT
cana-790	18	9	autism	autism	NOUN
cana-790	18	10	,	,	PUNCT
cana-790	18	11	mental	mental	ADJ
cana-790	18	12	retardation	retardation	NOUN
cana-790	18	13	,	,	PUNCT
cana-790	18	14	cerebral	cerebral	ADJ
cana-790	18	15	palsy	palsy	ADJ
cana-790	18	16	,	,	PUNCT
cana-790	18	17	and	and	CCONJ
cana-790	18	18	control	control	NOUN
cana-790	18	19	disorders	disorder	NOUN
cana-790	18	20	.	.	PUNCT
cana-790	19	1	of	of	ADP
cana-790	19	2	these	these	PRON
cana-790	19	3	,	,	PUNCT
cana-790	19	4	autism	autism	NOUN
cana-790	19	5	has	have	AUX
cana-790	19	6	continued	continue	VERB
cana-790	19	7	to	to	PART
cana-790	19	8	enthral	enthral	VERB
cana-790	19	9	and	and	CCONJ
cana-790	19	10	puzzle	puzzle	VERB
cana-790	19	11	modern	modern	ADJ
cana-790	19	12	medicine	medicine	NOUN
cana-790	19	13	,	,	PUNCT
cana-790	19	14	becoming	become	VERB
cana-790	19	15	an	an	DET
cana-790	19	16	unknown	unknown	ADJ
cana-790	19	17	frontier	frontier	NOUN
cana-790	19	18	like	like	ADP
cana-790	19	19	the	the	DET
cana-790	19	20	brain	brain	NOUN
cana-790	19	21	itself	itself	PRON
cana-790	20	1	[	[	X
cana-790	20	2	5	5	NUM
cana-790	20	3	]	]	PUNCT
cana-790	20	4	.	.	PUNCT
cana-790	21	1	as	as	ADP
cana-790	21	2	a	a	DET
cana-790	21	3	spectrum	spectrum	NOUN
cana-790	21	4	disorder	disorder	NOUN
cana-790	21	5	where	where	SCONJ
cana-790	21	6	every	every	DET
cana-790	21	7	person	person	NOUN
cana-790	21	8	with	with	ADP
cana-790	21	9	autism	autism	NOUN
cana-790	21	10	possesses	possess	VERB
cana-790	21	11	a	a	DET
cana-790	21	12	unique	unique	ADJ
cana-790	21	13	set	set	NOUN
cana-790	21	14	of	of	ADP
cana-790	21	15	strengths	strength	NOUN
cana-790	21	16	and	and	CCONJ
cana-790	21	17	challenges	challenge	NOUN
cana-790	21	18	,	,	PUNCT
cana-790	21	19	the	the	DET
cana-790	21	20	prospect	prospect	NOUN
cana-790	21	21	of	of	ADP
cana-790	21	22	autism	autism	NOUN
cana-790	21	23	going	go	VERB
cana-790	21	24	undiagnosed	undiagnosed	ADJ
cana-790	21	25	due	due	ADP
cana-790	21	26	to	to	ADP
cana-790	21	27	mild	mild	ADJ
cana-790	21	28	symptoms	symptom	NOUN
cana-790	21	29	or	or	CCONJ
cana-790	21	30	suppressed	suppress	VERB
cana-790	21	31	exhibition	exhibition	NOUN
cana-790	21	32	through	through	ADP
cana-790	21	33	childhood	childhood	NOUN
cana-790	21	34	and	and	CCONJ
cana-790	21	35	getting	getting	AUX
cana-790	21	36	misdiagnosed	misdiagnose	VERB
cana-790	21	37	as	as	ADP
cana-790	21	38	post	post	ADJ
cana-790	21	39	-	-	ADJ
cana-790	21	40	traumatic	traumatic	ADJ
cana-790	21	41	stress	stress	NOUN
cana-790	21	42	disorder	disorder	NOUN
cana-790	21	43	in	in	ADP
cana-790	21	44	cases	case	NOUN
cana-790	21	45	of	of	ADP
cana-790	21	46	traumainduced	traumainduce	VERB
cana-790	21	47	autism	autism	NOUN
cana-790	21	48	add	add	VERB
cana-790	21	49	on	on	ADP
cana-790	21	50	to	to	ADP
cana-790	21	51	its	its	PRON
cana-790	21	52	mystery	mystery	NOUN
cana-790	21	53	.	.	PUNCT
cana-790	22	1	increasing	increase	VERB
cana-790	22	2	fascination	fascination	NOUN
cana-790	22	3	and	and	CCONJ
cana-790	22	4	research	research	NOUN
cana-790	22	5	towards	towards	ADP
cana-790	22	6	the	the	DET
cana-790	22	7	subject	subject	NOUN
cana-790	22	8	have	have	AUX
cana-790	22	9	presented	present	VERB
cana-790	22	10	a	a	DET
cana-790	22	11	multitude	multitude	NOUN
cana-790	22	12	of	of	ADP
cana-790	22	13	possibilities	possibility	NOUN
cana-790	22	14	to	to	PART
cana-790	22	15	consider	consider	VERB
cana-790	22	16	in	in	ADP
cana-790	22	17	the	the	DET
cana-790	22	18	diagnosis	diagnosis	NOUN
cana-790	22	19	of	of	ADP
cana-790	22	20	autism	autism	NOUN
cana-790	22	21	.	.	PUNCT
cana-790	23	1	autistic	autistic	ADJ
cana-790	23	2	individuals	individual	NOUN
cana-790	23	3	exhibit	exhibit	VERB
cana-790	23	4	facial	facial	ADJ
cana-790	23	5	signs	sign	NOUN
cana-790	23	6	that	that	PRON
cana-790	23	7	are	be	AUX
cana-790	23	8	often	often	ADV
cana-790	23	9	intuitive	intuitive	ADJ
cana-790	23	10	[	[	X
cana-790	23	11	8	8	NUM
cana-790	23	12	,	,	PUNCT
cana-790	23	13	20	20	NUM
cana-790	23	14	,	,	PUNCT
cana-790	23	15	21	21	NUM
cana-790	23	16	]	]	PUNCT
cana-790	23	17	,	,	PUNCT
cana-790	23	18	resulting	result	VERB
cana-790	23	19	in	in	ADP
cana-790	23	20	the	the	DET
cana-790	23	21	spilling	spilling	NOUN
cana-790	23	22	of	of	ADP
cana-790	23	23	expressions	expression	NOUN
cana-790	23	24	inappropriate	inappropriate	ADJ
cana-790	23	25	to	to	ADP
cana-790	23	26	communications	communication	NOUN
cana-790	23	27	on	on	ADP
cana-790	23	28	applied	apply	VERB
cana-790	23	29	nonlinear	nonlinear	ADJ
cana-790	23	30	analysis	analysis	NOUN
cana-790	23	31	issn	issn	NOUN
cana-790	23	32	:	:	PUNCT
cana-790	23	33	1074	1074	NUM
cana-790	23	34	-	-	PUNCT
cana-790	23	35	133x	133x	NUM
cana-790	23	36	vol	vol	NOUN
cana-790	23	37	31	31	NUM
cana-790	23	38	no	no	NOUN
cana-790	23	39	.	.	PUNCT
cana-790	24	1	3s	3s	NUM
cana-790	24	2	(	(	PUNCT
cana-790	24	3	2024	2024	NUM
cana-790	24	4	)	)	PUNCT
cana-790	24	5	406	406	NUM
cana-790	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	24	7	a	a	DET
cana-790	24	8	situation	situation	NOUN
cana-790	24	9	they	they	PRON
cana-790	24	10	are	be	AUX
cana-790	24	11	interacting	interact	VERB
cana-790	24	12	with	with	ADP
cana-790	24	13	.	.	PUNCT
cana-790	25	1	this	this	DET
cana-790	25	2	inability	inability	NOUN
cana-790	25	3	of	of	ADP
cana-790	25	4	autistic	autistic	ADJ
cana-790	25	5	individuals	individual	NOUN
cana-790	25	6	to	to	PART
cana-790	25	7	convey	convey	VERB
cana-790	25	8	appropriate	appropriate	ADJ
cana-790	25	9	signals	signal	NOUN
cana-790	25	10	and	and	CCONJ
cana-790	25	11	emotions	emotion	NOUN
cana-790	25	12	in	in	ADP
cana-790	25	13	a	a	DET
cana-790	25	14	conversation	conversation	NOUN
cana-790	25	15	tends	tend	VERB
cana-790	25	16	to	to	PART
cana-790	25	17	hinder	hinder	VERB
cana-790	25	18	their	their	PRON
cana-790	25	19	capability	capability	NOUN
cana-790	25	20	to	to	PART
cana-790	25	21	appropriately	appropriately	ADV
cana-790	25	22	communicate	communicate	VERB
cana-790	25	23	with	with	ADP
cana-790	25	24	the	the	DET
cana-790	25	25	external	external	ADJ
cana-790	25	26	environment	environment	NOUN
cana-790	25	27	,	,	PUNCT
cana-790	25	28	resulting	result	VERB
cana-790	25	29	in	in	ADP
cana-790	25	30	misunderstandings	misunderstanding	NOUN
cana-790	25	31	to	to	PART
cana-790	25	32	arise	arise	VERB
cana-790	25	33	in	in	ADP
cana-790	25	34	a	a	DET
cana-790	25	35	relationship	relationship	NOUN
cana-790	25	36	.	.	PUNCT
cana-790	26	1	however	however	ADV
cana-790	26	2	,	,	PUNCT
cana-790	26	3	the	the	DET
cana-790	26	4	face	face	NOUN
cana-790	26	5	markers	marker	NOUN
cana-790	26	6	that	that	PRON
cana-790	26	7	engage	engage	VERB
cana-790	26	8	in	in	ADP
cana-790	26	9	the	the	DET
cana-790	26	10	formation	formation	NOUN
cana-790	26	11	of	of	ADP
cana-790	26	12	such	such	ADJ
cana-790	26	13	facial	facial	ADJ
cana-790	26	14	expressions	expression	NOUN
cana-790	26	15	hold	hold	VERB
cana-790	26	16	the	the	DET
cana-790	26	17	key	key	NOUN
cana-790	26	18	to	to	PART
cana-790	26	19	understand	understand	VERB
cana-790	26	20	how	how	SCONJ
cana-790	26	21	an	an	DET
cana-790	26	22	autistic	autistic	ADJ
cana-790	26	23	individual	individual	NOUN
cana-790	26	24	differs	differ	VERB
cana-790	26	25	extensively	extensively	ADV
cana-790	26	26	from	from	ADP
cana-790	26	27	their	their	PRON
cana-790	26	28	normal	normal	ADJ
cana-790	26	29	counterparts	counterpart	NOUN
cana-790	26	30	[	[	X
cana-790	26	31	1	1	NUM
cana-790	26	32	]	]	PUNCT
cana-790	26	33	,	,	PUNCT
cana-790	26	34	thus	thus	ADV
cana-790	26	35	offering	offer	VERB
cana-790	26	36	an	an	DET
cana-790	26	37	insight	insight	NOUN
cana-790	26	38	into	into	ADP
cana-790	26	39	understanding	understand	VERB
cana-790	26	40	the	the	DET
cana-790	26	41	nature	nature	NOUN
cana-790	26	42	of	of	ADP
cana-790	26	43	the	the	DET
cana-790	26	44	cues	cue	NOUN
cana-790	26	45	adopted	adopt	VERB
cana-790	26	46	by	by	ADP
cana-790	26	47	an	an	DET
cana-790	26	48	autistic	autistic	ADJ
cana-790	26	49	person	person	NOUN
cana-790	26	50	.	.	PUNCT
cana-790	27	1	studies	study	NOUN
cana-790	27	2	have	have	AUX
cana-790	27	3	been	be	AUX
cana-790	27	4	done	do	VERB
cana-790	27	5	to	to	PART
cana-790	27	6	upgrade	upgrade	VERB
cana-790	27	7	and	and	CCONJ
cana-790	27	8	accelerate	accelerate	VERB
cana-790	27	9	the	the	DET
cana-790	27	10	diagnosis	diagnosis	NOUN
cana-790	27	11	of	of	ADP
cana-790	27	12	autism	autism	NOUN
cana-790	27	13	spectrum	spectrum	NOUN
cana-790	27	14	disorder	disorder	NOUN
cana-790	27	15	(	(	PUNCT
cana-790	27	16	asd	asd	NOUN
cana-790	27	17	)	)	PUNCT
cana-790	27	18	using	use	VERB
cana-790	27	19	the	the	DET
cana-790	27	20	techniques	technique	NOUN
cana-790	27	21	of	of	ADP
cana-790	27	22	machine	machine	NOUN
cana-790	27	23	learning	learning	NOUN
cana-790	27	24	.	.	PUNCT
cana-790	28	1	the	the	DET
cana-790	28	2	ultimate	ultimate	ADJ
cana-790	28	3	objective	objective	NOUN
cana-790	28	4	of	of	ADP
cana-790	28	5	all	all	DET
cana-790	28	6	these	these	DET
cana-790	28	7	studies	study	NOUN
cana-790	28	8	lies	lie	VERB
cana-790	28	9	in	in	ADP
cana-790	28	10	enabling	enable	VERB
cana-790	28	11	a	a	DET
cana-790	28	12	timely	timely	ADJ
cana-790	28	13	intervention	intervention	NOUN
cana-790	28	14	and	and	CCONJ
cana-790	28	15	treatment	treatment	NOUN
cana-790	28	16	by	by	ADP
cana-790	28	17	aiding	aid	VERB
cana-790	28	18	in	in	ADP
cana-790	28	19	early	early	ADJ
cana-790	28	20	asd	asd	NOUN
cana-790	28	21	diagnosis	diagnosis	NOUN
cana-790	28	22	.	.	PUNCT
cana-790	29	1	while	while	SCONJ
cana-790	29	2	praveena	praveena	NOUN
cana-790	29	3	et	et	PROPN
cana-790	29	4	al	al	PROPN
cana-790	29	5	.	.	PUNCT
cana-790	30	1	[	[	X
cana-790	30	2	14	14	NUM
cana-790	30	3	]	]	PUNCT
cana-790	30	4	focused	focus	VERB
cana-790	30	5	on	on	ADP
cana-790	30	6	using	use	VERB
cana-790	30	7	facial	facial	ADJ
cana-790	30	8	image	image	NOUN
cana-790	30	9	processing	processing	NOUN
cana-790	30	10	to	to	PART
cana-790	30	11	recognize	recognize	VERB
cana-790	30	12	emotions	emotion	NOUN
cana-790	30	13	and	and	CCONJ
cana-790	30	14	predict	predict	VERB
cana-790	30	15	asd	asd	PROPN
cana-790	30	16	in	in	ADP
cana-790	30	17	children	child	NOUN
cana-790	30	18	,	,	PUNCT
cana-790	30	19	vakadkar	vakadkar	NOUN
cana-790	30	20	et	et	PROPN
cana-790	30	21	al	al	PROPN
cana-790	30	22	.	.	PUNCT
cana-790	31	1	[	[	X
cana-790	31	2	17	17	NUM
cana-790	31	3	]	]	PUNCT
cana-790	31	4	used	use	VERB
cana-790	31	5	logistic	logistic	ADJ
cana-790	31	6	regression	regression	NOUN
cana-790	31	7	to	to	PART
cana-790	31	8	identify	identify	VERB
cana-790	31	9	asd	asd	NOUN
cana-790	31	10	in	in	ADP
cana-790	31	11	children	child	NOUN
cana-790	31	12	during	during	ADP
cana-790	31	13	early	early	ADJ
cana-790	31	14	developmental	developmental	ADJ
cana-790	31	15	stages	stage	NOUN
cana-790	31	16	.	.	PUNCT
cana-790	32	1	mujeeb	mujeeb	PROPN
cana-790	32	2	rahman	rahman	PROPN
cana-790	32	3	et	et	PROPN
cana-790	32	4	al	al	PROPN
cana-790	32	5	.	.	PUNCT
cana-790	33	1	[	[	X
cana-790	33	2	11	11	NUM
cana-790	33	3	]	]	PUNCT
cana-790	33	4	used	use	VERB
cana-790	33	5	the	the	DET
cana-790	33	6	static	static	ADJ
cana-790	33	7	features	feature	NOUN
cana-790	33	8	extracted	extract	VERB
cana-790	33	9	from	from	ADP
cana-790	33	10	the	the	DET
cana-790	33	11	photographs	photograph	NOUN
cana-790	33	12	of	of	ADP
cana-790	33	13	autistic	autistic	ADJ
cana-790	33	14	children	child	NOUN
cana-790	33	15	to	to	PART
cana-790	33	16	identify	identify	VERB
cana-790	33	17	asd	asd	NOUN
cana-790	33	18	by	by	ADP
cana-790	33	19	utilizing	utilize	VERB
cana-790	33	20	cnn	cnn	PROPN
cana-790	33	21	and	and	CCONJ
cana-790	33	22	dnn	dnn	PROPN
cana-790	33	23	models	model	NOUN
cana-790	33	24	.	.	PUNCT
cana-790	34	1	several	several	ADJ
cana-790	34	2	studies	study	NOUN
cana-790	34	3	have	have	AUX
cana-790	34	4	also	also	ADV
cana-790	34	5	employed	employ	VERB
cana-790	34	6	facial	facial	ADJ
cana-790	34	7	features	feature	NOUN
cana-790	34	8	for	for	ADP
cana-790	34	9	asd	asd	NOUN
cana-790	34	10	in	in	ADP
cana-790	34	11	automated	automate	VERB
cana-790	34	12	ml	ml	NOUN
cana-790	34	13	models	model	NOUN
cana-790	34	14	while	while	SCONJ
cana-790	34	15	other	other	ADJ
cana-790	34	16	studies	study	NOUN
cana-790	34	17	leveraged	leverage	VERB
cana-790	34	18	data	datum	NOUN
cana-790	34	19	from	from	ADP
cana-790	34	20	brain	brain	NOUN
cana-790	34	21	neuroimaging	neuroimaging	NOUN
cana-790	34	22	.	.	PUNCT
cana-790	35	1	boughattas	boughatta	NOUN
cana-790	35	2	et	et	PROPN
cana-790	35	3	al	al	PROPN
cana-790	35	4	.	.	PUNCT
cana-790	36	1	[	[	X
cana-790	36	2	2	2	NUM
cana-790	36	3	]	]	PUNCT
cana-790	36	4	utilized	utilize	VERB
cana-790	36	5	the	the	DET
cana-790	36	6	abide	abide	NOUN
cana-790	36	7	dataset	dataset	NOUN
cana-790	36	8	containing	contain	VERB
cana-790	36	9	functional	functional	ADJ
cana-790	36	10	magnetic	magnetic	ADJ
cana-790	36	11	resonance	resonance	NOUN
cana-790	36	12	images	image	NOUN
cana-790	36	13	(	(	PUNCT
cana-790	36	14	fmri	fmri	NOUN
cana-790	36	15	)	)	PUNCT
cana-790	36	16	to	to	PART
cana-790	36	17	detect	detect	VERB
cana-790	36	18	asd	asd	NOUN
cana-790	36	19	using	use	VERB
cana-790	36	20	convolutional	convolutional	ADJ
cana-790	36	21	neural	neural	ADJ
cana-790	36	22	networks	network	NOUN
cana-790	36	23	.	.	PUNCT
cana-790	37	1	moridian	moridian	PROPN
cana-790	37	2	et	et	PROPN
cana-790	37	3	al	al	PROPN
cana-790	37	4	.	.	PUNCT
cana-790	38	1	[	[	X
cana-790	38	2	10	10	NUM
cana-790	38	3	]	]	X
cana-790	38	4	reviews	review	VERB
cana-790	38	5	several	several	ADJ
cana-790	38	6	computer	computer	NOUN
cana-790	38	7	-	-	PUNCT
cana-790	38	8	aided	aid	VERB
cana-790	38	9	diagnosis	diagnosis	NOUN
cana-790	38	10	systems	system	NOUN
cana-790	38	11	developed	develop	VERB
cana-790	38	12	for	for	ADP
cana-790	38	13	automated	automate	VERB
cana-790	38	14	diagnosis	diagnosis	NOUN
cana-790	38	15	of	of	ADP
cana-790	38	16	asd	asd	NOUN
cana-790	38	17	using	use	VERB
cana-790	38	18	mri	mri	NOUN
cana-790	38	19	modalities	modality	NOUN
cana-790	38	20	.	.	PUNCT
cana-790	39	1	lamani	lamani	PROPN
cana-790	39	2	et	et	PROPN
cana-790	39	3	al	al	PROPN
cana-790	39	4	.	.	PUNCT
cana-790	40	1	[	[	X
cana-790	40	2	7	7	X
cana-790	40	3	]	]	PUNCT
cana-790	40	4	employs	employ	VERB
cana-790	40	5	a	a	DET
cana-790	40	6	graph	graph	NOUN
cana-790	40	7	convolutional	convolutional	ADJ
cana-790	40	8	network	network	NOUN
cana-790	40	9	classifier	classifier	NOUN
cana-790	40	10	to	to	PART
cana-790	40	11	determine	determine	VERB
cana-790	40	12	whether	whether	SCONJ
cana-790	40	13	an	an	DET
cana-790	40	14	image	image	NOUN
cana-790	40	15	depicts	depict	VERB
cana-790	40	16	normal	normal	ADJ
cana-790	40	17	or	or	CCONJ
cana-790	40	18	autistic	autistic	ADJ
cana-790	40	19	characteristics	characteristic	NOUN
cana-790	40	20	and	and	CCONJ
cana-790	40	21	the	the	DET
cana-790	40	22	research	research	NOUN
cana-790	40	23	of	of	ADP
cana-790	40	24	emel	emel	PROPN
cana-790	40	25	koc	koc	PROPN
cana-790	40	26	et	et	PROPN
cana-790	40	27	al	al	PROPN
cana-790	40	28	.	.	PUNCT
cana-790	41	1	[	[	X
cana-790	41	2	3	3	X
cana-790	41	3	]	]	X
cana-790	41	4	aims	aim	VERB
cana-790	41	5	to	to	PART
cana-790	41	6	improve	improve	VERB
cana-790	41	7	the	the	DET
cana-790	41	8	diagnosis	diagnosis	NOUN
cana-790	41	9	accuracy	accuracy	NOUN
cana-790	41	10	of	of	ADP
cana-790	41	11	asd	asd	NOUN
cana-790	41	12	by	by	ADP
cana-790	41	13	using	use	VERB
cana-790	41	14	functional	functional	ADJ
cana-790	41	15	magnetic	magnetic	ADJ
cana-790	41	16	resonance	resonance	NOUN
cana-790	41	17	imaging	imaging	NOUN
cana-790	41	18	data	datum	NOUN
cana-790	41	19	.	.	PUNCT
cana-790	42	1	these	these	DET
cana-790	42	2	studies	study	NOUN
cana-790	42	3	show	show	VERB
cana-790	42	4	that	that	SCONJ
cana-790	42	5	an	an	DET
cana-790	42	6	appropriate	appropriate	ADJ
cana-790	42	7	mathematical	mathematical	ADJ
cana-790	42	8	model	model	NOUN
cana-790	42	9	is	be	AUX
cana-790	42	10	significant	significant	ADJ
cana-790	42	11	in	in	ADP
cana-790	42	12	deriving	derive	VERB
cana-790	42	13	a	a	DET
cana-790	42	14	crucial	crucial	ADJ
cana-790	42	15	conclusion	conclusion	NOUN
cana-790	42	16	.	.	PUNCT
cana-790	43	1	specifically	specifically	ADV
cana-790	43	2	,	,	PUNCT
cana-790	43	3	in	in	ADP
cana-790	43	4	a	a	DET
cana-790	43	5	growing	grow	VERB
cana-790	43	6	area	area	NOUN
cana-790	43	7	of	of	ADP
cana-790	43	8	research	research	NOUN
cana-790	43	9	where	where	SCONJ
cana-790	43	10	one	one	NUM
cana-790	43	11	utilizes	utilize	VERB
cana-790	43	12	facial	facial	ADJ
cana-790	43	13	features	feature	NOUN
cana-790	43	14	for	for	ADP
cana-790	43	15	the	the	DET
cana-790	43	16	diagnosis	diagnosis	NOUN
cana-790	43	17	of	of	ADP
cana-790	43	18	autism	autism	NOUN
cana-790	43	19	,	,	PUNCT
cana-790	43	20	the	the	DET
cana-790	43	21	need	need	NOUN
cana-790	43	22	for	for	ADP
cana-790	43	23	building	build	VERB
cana-790	43	24	a	a	DET
cana-790	43	25	model	model	NOUN
cana-790	43	26	that	that	PRON
cana-790	43	27	’s	’	VERB
cana-790	43	28	accurate	accurate	ADJ
cana-790	43	29	and	and	CCONJ
cana-790	43	30	efficient	efficient	ADJ
cana-790	43	31	is	be	AUX
cana-790	43	32	imminent	imminent	ADJ
cana-790	44	1	[	[	X
cana-790	44	2	12	12	NUM
cana-790	44	3	,	,	PUNCT
cana-790	44	4	13	13	NUM
cana-790	44	5	]	]	PUNCT
cana-790	44	6	.	.	PUNCT
cana-790	45	1	building	build	VERB
cana-790	45	2	on	on	ADP
cana-790	45	3	these	these	DET
cana-790	45	4	trends	trend	NOUN
cana-790	45	5	,	,	PUNCT
cana-790	45	6	this	this	DET
cana-790	45	7	paper	paper	NOUN
cana-790	45	8	constructs	construct	VERB
cana-790	45	9	a	a	DET
cana-790	45	10	fuzzy	fuzzy	ADJ
cana-790	45	11	𝛽−neighborhood	𝛽−neighborhood	X
cana-790	45	12	based	base	VERB
cana-790	45	13	soft	soft	ADJ
cana-790	45	14	rough	rough	ADJ
cana-790	45	15	set	set	NOUN
cana-790	45	16	to	to	PART
cana-790	45	17	detect	detect	VERB
cana-790	45	18	autism	autism	NOUN
cana-790	45	19	by	by	ADP
cana-790	45	20	utilizing	utilize	VERB
cana-790	45	21	crucial	crucial	ADJ
cana-790	45	22	face	face	NOUN
cana-790	45	23	landmarks	landmark	NOUN
cana-790	45	24	.	.	PUNCT
cana-790	46	1	2	2	X
cana-790	46	2	.	.	X
cana-790	46	3	fuzzy	fuzzy	ADJ
cana-790	46	4	𝜷	𝜷	SYM
cana-790	46	5	−neighborhood	−neighborhood	PUNCT
cana-790	46	6	based	base	VERB
cana-790	46	7	soft	soft	ADJ
cana-790	46	8	rough	rough	ADJ
cana-790	46	9	sets	set	NOUN
cana-790	46	10	in	in	ADP
cana-790	46	11	this	this	DET
cana-790	46	12	section	section	NOUN
cana-790	46	13	,	,	PUNCT
cana-790	46	14	the	the	DET
cana-790	46	15	concepts	concept	NOUN
cana-790	46	16	of	of	ADP
cana-790	46	17	𝛽-reduct	𝛽-reduct	NOUN
cana-790	46	18	,	,	PUNCT
cana-790	46	19	fuzzy	fuzzy	ADJ
cana-790	46	20	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	46	21	,	,	PUNCT
cana-790	46	22	and	and	CCONJ
cana-790	46	23	fuzzy	fuzzy	ADJ
cana-790	46	24	𝛽-neighbourhood	𝛽-neighbourhood	PROPN
cana-790	46	25	-	-	PUNCT
cana-790	46	26	based	base	VERB
cana-790	46	27	soft	soft	ADJ
cana-790	46	28	rough	rough	ADJ
cana-790	46	29	set	set	NOUN
cana-790	46	30	of	of	ADP
cana-790	46	31	an	an	DET
cana-790	46	32	object	object	NOUN
cana-790	46	33	are	be	AUX
cana-790	46	34	introduced	introduce	VERB
cana-790	46	35	,	,	PUNCT
cana-790	46	36	along	along	ADP
cana-790	46	37	with	with	ADP
cana-790	46	38	an	an	DET
cana-790	46	39	illustrative	illustrative	ADJ
cana-790	46	40	example	example	NOUN
cana-790	46	41	for	for	ADP
cana-790	46	42	each	each	PRON
cana-790	46	43	.	.	PUNCT
cana-790	47	1	definition	definition	NOUN
cana-790	47	2	2.1	2.1	NUM
cana-790	47	3	.	.	PUNCT
cana-790	48	1	let	let	AUX
cana-790	48	2	𝐼	𝐼	PROPN
cana-790	48	3	=	=	SYM
cana-790	48	4	(	(	PUNCT
cana-790	48	5	𝑈	𝑈	PROPN
cana-790	48	6	,	,	PUNCT
cana-790	48	7	𝐴	𝐴	PROPN
cana-790	48	8	,	,	PUNCT
cana-790	48	9	𝐹	𝐹	PROPN
cana-790	48	10	)	)	PUNCT
cana-790	48	11	represent	represent	VERB
cana-790	48	12	a	a	DET
cana-790	48	13	covering	covering	NOUN
cana-790	48	14	-	-	PUNCT
cana-790	48	15	based	base	VERB
cana-790	48	16	information	information	NOUN
cana-790	48	17	system	system	NOUN
cana-790	48	18	where	where	SCONJ
cana-790	48	19	𝑈	𝑈	PROPN
cana-790	48	20	is	be	AUX
cana-790	48	21	a	a	DET
cana-790	48	22	nonempty	nonempty	ADJ
cana-790	48	23	finite	finite	ADJ
cana-790	48	24	set	set	NOUN
cana-790	48	25	of	of	ADP
cana-790	48	26	objects	object	NOUN
cana-790	48	27	called	call	VERB
cana-790	48	28	the	the	DET
cana-790	48	29	universal	universal	ADJ
cana-790	48	30	set	set	NOUN
cana-790	48	31	.	.	PUNCT
cana-790	49	1	𝐴	𝐴	PROPN
cana-790	49	2	is	be	AUX
cana-790	49	3	the	the	DET
cana-790	49	4	non	non	ADJ
cana-790	49	5	-	-	ADJ
cana-790	49	6	empty	empty	ADJ
cana-790	49	7	finite	finite	NOUN
cana-790	49	8	set	set	NOUN
cana-790	49	9	of	of	ADP
cana-790	49	10	attributes	attribute	NOUN
cana-790	49	11	with	with	ADP
cana-790	49	12	membership	membership	NOUN
cana-790	49	13	function	function	NOUN
cana-790	49	14	defined	define	VERB
cana-790	49	15	by	by	ADP
cana-790	49	16	𝜇𝑎	𝜇𝑎	ADP
cana-790	49	17	:	:	PUNCT
cana-790	49	18	𝑈	𝑈	PROPN
cana-790	49	19	→	→	SYM
cana-790	49	20	[	[	X
cana-790	49	21	0,1	0,1	NUM
cana-790	49	22	]	]	PUNCT
cana-790	49	23	∀𝑎	∀𝑎	PROPN
cana-790	49	24	∈	∈	PROPN
cana-790	49	25	𝐴	𝐴	PROPN
cana-790	49	26	and	and	CCONJ
cana-790	49	27	𝐹	𝐹	PROPN
cana-790	49	28	:	:	PUNCT
cana-790	49	29	𝐴	𝐴	PROPN
cana-790	49	30	→	→	SYM
cana-790	49	31	𝒫(𝑈	𝒫(𝑈	NOUN
cana-790	49	32	)	)	PUNCT
cana-790	49	33	defined	define	VERB
cana-790	49	34	by	by	ADP
cana-790	49	35	𝑭(𝒂	𝑭(𝒂	NOUN
cana-790	49	36	)	)	PUNCT
cana-790	49	37	=	=	PRON
cana-790	50	1	{	{	PUNCT
cana-790	50	2	𝒙	𝒙	PROPN
cana-790	50	3	∈	∈	PROPN
cana-790	50	4	𝑼	𝑼	NOUN
cana-790	50	5	|	|	NOUN
cana-790	50	6	𝝁𝒂(𝒙	𝝁𝒂(𝒙	PUNCT
cana-790	50	7	)	)	PUNCT
cana-790	50	8	≤	≤	NUM
cana-790	50	9	𝜹𝒂	𝜹𝒂	PROPN
cana-790	50	10	}	}	PUNCT
cana-790	50	11	∀𝒂	∀𝒂	NOUN
cana-790	50	12	∈	∈	PROPN
cana-790	50	13	𝑨	𝑨	PROPN
cana-790	50	14	f(a	f(a	PROPN
cana-790	50	15	)	)	PUNCT
cana-790	50	16	is	be	AUX
cana-790	50	17	the	the	DET
cana-790	50	18	set	set	NOUN
cana-790	50	19	of	of	ADP
cana-790	50	20	objects	object	NOUN
cana-790	50	21	in	in	ADP
cana-790	50	22	𝑈	𝑈	PROPN
cana-790	50	23	possessing	possess	VERB
cana-790	50	24	the	the	DET
cana-790	50	25	attribute	attribute	NOUN
cana-790	51	1	a	a	PRON
cana-790	51	2	with	with	ADP
cana-790	51	3	respect	respect	NOUN
cana-790	51	4	to	to	ADP
cana-790	51	5	a	a	DET
cana-790	51	6	threshold	threshold	NOUN
cana-790	51	7	𝛿𝑎	𝛿𝑎	ADP
cana-790	51	8	such	such	ADJ
cana-790	51	9	that	that	SCONJ
cana-790	51	10	⋃	⋃	NOUN
cana-790	51	11	𝐹(𝑎	𝐹(𝑎	NUM
cana-790	51	12	)	)	PUNCT
cana-790	51	13	=	=	SYM
cana-790	51	14	𝑈	𝑈	PROPN
cana-790	51	15	𝑎∈𝐴	𝑎∈𝐴	PROPN
cana-790	51	16	.	.	PUNCT
cana-790	52	1	the	the	DET
cana-790	52	2	choice	choice	NOUN
cana-790	52	3	of	of	ADP
cana-790	52	4	𝛿𝑎	𝛿𝑎	PROPN
cana-790	52	5	is	be	AUX
cana-790	52	6	made	make	VERB
cana-790	52	7	following	follow	VERB
cana-790	52	8	expert	expert	ADJ
cana-790	52	9	insights	insight	NOUN
cana-790	52	10	,	,	PUNCT
cana-790	52	11	thorough	thorough	ADJ
cana-790	52	12	experimenting	experimenting	NOUN
cana-790	52	13	,	,	PUNCT
cana-790	52	14	and	and	CCONJ
cana-790	52	15	the	the	DET
cana-790	52	16	observation	observation	NOUN
cana-790	52	17	of	of	ADP
cana-790	52	18	the	the	DET
cana-790	52	19	system	system	NOUN
cana-790	52	20	under	under	ADP
cana-790	52	21	consideration	consideration	NOUN
cana-790	52	22	.	.	PUNCT
cana-790	53	1	definition	definition	NOUN
cana-790	53	2	2.2	2.2	NUM
cana-790	53	3	.	.	PUNCT
cana-790	54	1	for	for	ADP
cana-790	54	2	𝛽	𝛽	PROPN
cana-790	54	3	∈	∈	PROPN
cana-790	54	4	[	[	X
cana-790	54	5	0,1	0,1	NUM
cana-790	54	6	]	]	PUNCT
cana-790	54	7	,	,	PUNCT
cana-790	54	8	the	the	DET
cana-790	54	9	𝛽-reduct	𝛽-reduct	NOUN
cana-790	54	10	,	,	PUNCT
cana-790	54	11	𝑁𝛽(𝑥	𝑁𝛽(𝑥	NOUN
cana-790	54	12	)	)	PUNCT
cana-790	54	13	of	of	ADP
cana-790	54	14	an	an	DET
cana-790	54	15	object	object	NOUN
cana-790	54	16	𝑥	𝑥	NOUN
cana-790	54	17	is	be	AUX
cana-790	54	18	defined	define	VERB
cana-790	54	19	as	as	ADP
cana-790	54	20	𝑵𝜷(𝒙	𝑵𝜷(𝒙	PROPN
cana-790	54	21	)	)	PUNCT
cana-790	54	22	=	=	PRON
cana-790	55	1	{	{	PUNCT
cana-790	55	2	𝒂	𝒂	SYM
cana-790	55	3	∈	∈	PROPN
cana-790	55	4	𝑨	𝑨	NOUN
cana-790	55	5	|	|	ADV
cana-790	55	6	𝝁𝒂(𝒙	𝝁𝒂(𝒙	PUNCT
cana-790	55	7	)	)	PUNCT
cana-790	55	8	≥	≥	PROPN
cana-790	55	9	𝜷	𝜷	NOUN
cana-790	55	10	}	}	PUNCT
cana-790	55	11	communications	communication	NOUN
cana-790	55	12	on	on	ADP
cana-790	55	13	applied	apply	VERB
cana-790	55	14	nonlinear	nonlinear	ADJ
cana-790	55	15	analysis	analysis	NOUN
cana-790	55	16	issn	issn	NOUN
cana-790	55	17	:	:	PUNCT
cana-790	55	18	1074	1074	NUM
cana-790	55	19	-	-	PUNCT
cana-790	55	20	133x	133x	NUM
cana-790	55	21	vol	vol	NOUN
cana-790	55	22	31	31	NUM
cana-790	55	23	no	no	NOUN
cana-790	55	24	.	.	PUNCT
cana-790	56	1	3s	3s	NUM
cana-790	56	2	(	(	PUNCT
cana-790	56	3	2024	2024	NUM
cana-790	56	4	)	)	PUNCT
cana-790	56	5	407	407	NUM
cana-790	56	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	56	7	which	which	PRON
cana-790	56	8	represents	represent	VERB
cana-790	56	9	the	the	DET
cana-790	56	10	set	set	NOUN
cana-790	56	11	of	of	ADP
cana-790	56	12	attributes	attribute	NOUN
cana-790	56	13	playing	play	VERB
cana-790	56	14	a	a	DET
cana-790	56	15	significant	significant	ADJ
cana-790	56	16	role	role	NOUN
cana-790	56	17	on	on	ADP
cana-790	56	18	𝑥	𝑥	NOUN
cana-790	56	19	with	with	ADP
cana-790	56	20	respect	respect	NOUN
cana-790	56	21	to	to	ADP
cana-790	56	22	𝛽.	𝛽.	NOUN
cana-790	56	23	definition	definition	NOUN
cana-790	56	24	2.3	2.3	NUM
cana-790	56	25	.	.	PUNCT
cana-790	57	1	for	for	ADP
cana-790	57	2	𝛽	𝛽	PROPN
cana-790	57	3	∈	∈	PROPN
cana-790	57	4	[	[	X
cana-790	57	5	0,1	0,1	NUM
cana-790	57	6	]	]	PUNCT
cana-790	57	7	,	,	PUNCT
cana-790	57	8	the	the	DET
cana-790	57	9	fuzzy	fuzzy	ADJ
cana-790	57	10	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	57	11	,	,	PUNCT
cana-790	57	12	�	�	PROPN
cana-790	57	13	̃	̃	PROPN
cana-790	57	14	�	�	NOUN
cana-790	57	15	𝛽(𝑥	𝛽(𝑥	NOUN
cana-790	57	16	)	)	PUNCT
cana-790	57	17	of	of	ADP
cana-790	57	18	an	an	DET
cana-790	57	19	object	object	NOUN
cana-790	57	20	𝑥	𝑥	NOUN
cana-790	57	21	in	in	ADP
cana-790	57	22	𝑈	𝑈	PROPN
cana-790	57	23	is	be	AUX
cana-790	57	24	defined	define	VERB
cana-790	57	25	as	as	ADP
cana-790	57	26	�	�	PROPN
cana-790	57	27	̃	̃	PROPN
cana-790	57	28	�	�	NOUN
cana-790	57	29	𝜷(𝒙	𝜷(𝒙	NUM
cana-790	57	30	)	)	PUNCT
cana-790	58	1	=	=	PRON
cana-790	58	2	{	{	PUNCT
cana-790	58	3	𝒚	𝒚	PROPN
cana-790	58	4	∈	∈	PROPN
cana-790	58	5	𝑼	𝑼	PROPN
cana-790	58	6	|	|	NOUN
cana-790	58	7	𝝁𝒂(𝒚	𝝁𝒂(𝒚	NUM
cana-790	58	8	)	)	PUNCT
cana-790	58	9	≥	≥	PROPN
cana-790	58	10	𝜷	𝜷	NOUN
cana-790	58	11	}	}	PUNCT
cana-790	58	12	which	which	PRON
cana-790	58	13	represents	represent	VERB
cana-790	58	14	the	the	DET
cana-790	58	15	set	set	NOUN
cana-790	58	16	of	of	ADP
cana-790	58	17	objects	object	NOUN
cana-790	58	18	that	that	PRON
cana-790	58	19	are	be	AUX
cana-790	58	20	in	in	ADP
cana-790	58	21	the	the	DET
cana-790	58	22	neighborhood	neighborhood	NOUN
cana-790	58	23	of	of	ADP
cana-790	58	24	𝑥	𝑥	NOUN
cana-790	58	25	with	with	ADP
cana-790	58	26	respect	respect	NOUN
cana-790	58	27	to	to	ADP
cana-790	58	28	the	the	DET
cana-790	58	29	𝛽-reduct	𝛽-reduct	NOUN
cana-790	58	30	of	of	ADP
cana-790	58	31	𝑥.	𝑥.	ADJ
cana-790	58	32	definition	definition	NOUN
cana-790	58	33	2.4	2.4	NUM
cana-790	58	34	.	.	PUNCT
cana-790	59	1	the	the	DET
cana-790	59	2	fuzzy	fuzzy	ADJ
cana-790	59	3	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	59	4	based	base	VERB
cana-790	59	5	soft	soft	ADJ
cana-790	59	6	-	-	PUNCT
cana-790	59	7	rough	rough	NOUN
cana-790	59	8	set	set	NOUN
cana-790	59	9	,	,	PUNCT
cana-790	59	10	𝛽	𝛽	NOUN
cana-790	59	11	−	−	PROPN
cana-790	59	12	𝑅𝑆(𝑥	𝑅𝑆(𝑥	NUM
cana-790	59	13	)	)	PUNCT
cana-790	59	14	of	of	ADP
cana-790	59	15	the	the	DET
cana-790	59	16	object	object	NOUN
cana-790	59	17	𝑥	𝑥	ADP
cana-790	59	18	belonging	belong	VERB
cana-790	59	19	to	to	ADP
cana-790	59	20	the	the	DET
cana-790	59	21	universe	universe	ADJ
cana-790	59	22	𝑈	𝑈	PROPN
cana-790	59	23	is	be	AUX
cana-790	59	24	defined	define	VERB
cana-790	59	25	by	by	ADP
cana-790	59	26	𝜷	𝜷	NOUN
cana-790	59	27	−	−	PROPN
cana-790	59	28	𝑹𝑺(𝒙	𝑹𝑺(𝒙	PROPN
cana-790	59	29	)	)	PUNCT
cana-790	60	1	=	=	PRON
cana-790	60	2	(	(	PUNCT
cana-790	60	3	�	�	PROPN
cana-790	60	4	̃	̃	PROPN
cana-790	60	5	�	�	PROPN
cana-790	60	6	𝜷(𝒙)−	𝜷(𝒙)−	PROPN
cana-790	60	7	,	,	PUNCT
cana-790	60	8	�	�	PROPN
cana-790	60	9	̃	̃	PROPN
cana-790	60	10	�	�	NOUN
cana-790	60	11	𝜷(𝒙	𝜷(𝒙	NUM
cana-790	60	12	)	)	PUNCT
cana-790	60	13	–	–	PUNCT
cana-790	60	14	)	)	PUNCT
cana-790	60	15	where	where	SCONJ
cana-790	60	16	,	,	PUNCT
cana-790	60	17	�	�	PROPN
cana-790	60	18	̃	̃	PROPN
cana-790	60	19	�	�	NOUN
cana-790	60	20	𝜷(𝒙	𝜷(𝒙	NUM
cana-790	60	21	)	)	PUNCT
cana-790	60	22	_	_	PUNCT
cana-790	61	1	=	=	PUNCT
cana-790	61	2	{	{	PUNCT
cana-790	61	3	𝑭(𝒂	𝑭(𝒂	NOUN
cana-790	61	4	)	)	PUNCT
cana-790	61	5	|	|	ADV
cana-790	61	6	𝑭(𝒂	𝑭(𝒂	NOUN
cana-790	61	7	)	)	PUNCT
cana-790	61	8	⊆	⊆	NUM
cana-790	61	9	�	�	PROPN
cana-790	61	10	̃	̃	PROPN
cana-790	61	11	�	�	PROPN
cana-790	61	12	𝜷(𝒙	𝜷(𝒙	NUM
cana-790	61	13	)	)	PUNCT
cana-790	61	14	,	,	PUNCT
cana-790	61	15	𝒂	𝒂	PROPN
cana-790	61	16	∈	∈	PROPN
cana-790	61	17	𝑵𝜷(𝒙	𝑵𝜷(𝒙	PROPN
cana-790	61	18	)	)	PUNCT
cana-790	61	19	}	}	PUNCT
cana-790	61	20	�	�	PROPN
cana-790	61	21	̃	̃	PROPN
cana-790	61	22	�	�	PROPN
cana-790	61	23	𝜷(𝒙)−	𝜷(𝒙)−	NOUN
cana-790	61	24	=	=	PUNCT
cana-790	61	25	{	{	PUNCT
cana-790	61	26	𝑭(𝒂	𝑭(𝒂	NOUN
cana-790	61	27	)	)	PUNCT
cana-790	61	28	|	|	ADV
cana-790	61	29	𝑭(𝒂	𝑭(𝒂	NOUN
cana-790	61	30	)	)	PUNCT
cana-790	61	31	∩	∩	PROPN
cana-790	61	32	�	�	PROPN
cana-790	61	33	̃	̃	PROPN
cana-790	61	34	�	�	PROPN
cana-790	61	35	𝜷(𝒙	𝜷(𝒙	NUM
cana-790	61	36	)	)	PUNCT
cana-790	61	37	≠	≠	PROPN
cana-790	61	38	∅	∅	NOUN
cana-790	61	39	,	,	PUNCT
cana-790	61	40	𝒂	𝒂	PROPN
cana-790	61	41	∈	∈	PROPN
cana-790	61	42	𝑵𝜷(𝒙	𝑵𝜷(𝒙	PROPN
cana-790	61	43	)	)	PUNCT
cana-790	61	44	}	}	PUNCT
cana-790	61	45	represent	represent	VERB
cana-790	61	46	the	the	DET
cana-790	61	47	lower	low	ADJ
cana-790	61	48	approximation	approximation	NOUN
cana-790	61	49	and	and	CCONJ
cana-790	61	50	upper	upper	ADJ
cana-790	61	51	approximation	approximation	NOUN
cana-790	61	52	of	of	ADP
cana-790	61	53	the	the	DET
cana-790	61	54	fuzzy	fuzzy	ADJ
cana-790	61	55	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	61	56	based	base	VERB
cana-790	61	57	soft	soft	ADJ
cana-790	61	58	rough	rough	ADJ
cana-790	61	59	set	set	NOUN
cana-790	61	60	of	of	ADP
cana-790	61	61	the	the	DET
cana-790	61	62	object	object	NOUN
cana-790	61	63	𝑥.	𝑥.	VERB
cana-790	61	64	the	the	DET
cana-790	61	65	lower	low	ADJ
cana-790	61	66	approximation	approximation	NOUN
cana-790	61	67	space	space	NOUN
cana-790	61	68	,	,	PUNCT
cana-790	61	69	�	�	PROPN
cana-790	61	70	̃	̃	PROPN
cana-790	61	71	�	�	NOUN
cana-790	61	72	𝛽(𝑥	𝛽(𝑥	NOUN
cana-790	61	73	)	)	PUNCT
cana-790	61	74	_	_	NOUN
cana-790	61	75	of	of	ADP
cana-790	61	76	the	the	DET
cana-790	61	77	object	object	NOUN
cana-790	62	1	𝑥	𝑥	PART
cana-790	62	2	contain	contain	VERB
cana-790	62	3	those	those	DET
cana-790	62	4	objects	object	NOUN
cana-790	62	5	of	of	ADP
cana-790	62	6	𝐹(𝑎	𝐹(𝑎	NOUN
cana-790	62	7	)	)	PUNCT
cana-790	62	8	that	that	PRON
cana-790	62	9	are	be	AUX
cana-790	62	10	completely	completely	ADV
cana-790	62	11	contained	contain	VERB
cana-790	62	12	in	in	ADP
cana-790	62	13	the	the	DET
cana-790	62	14	fuzzy	fuzzy	ADJ
cana-790	62	15	𝛽-neighborhood	𝛽-neighborhood	NOUN
cana-790	62	16	of	of	ADP
cana-790	62	17	𝑥	𝑥	NOUN
cana-790	62	18	for	for	ADP
cana-790	62	19	every	every	DET
cana-790	62	20	𝑎	𝑎	NOUN
cana-790	62	21	that	that	PRON
cana-790	62	22	belongs	belong	VERB
cana-790	62	23	to	to	ADP
cana-790	62	24	𝑁𝛽(𝑥	𝑁𝛽(𝑥	PROPN
cana-790	62	25	)	)	PUNCT
cana-790	62	26	and	and	CCONJ
cana-790	62	27	the	the	DET
cana-790	62	28	upper	upper	ADJ
cana-790	62	29	approximation	approximation	NOUN
cana-790	62	30	space	space	NOUN
cana-790	62	31	,	,	PUNCT
cana-790	62	32	�	�	PROPN
cana-790	62	33	̃	̃	PROPN
cana-790	62	34	�	�	NOUN
cana-790	62	35	𝛽(𝑥)−	𝛽(𝑥)−	NOUN
cana-790	62	36	of	of	ADP
cana-790	62	37	the	the	DET
cana-790	62	38	object	object	NOUN
cana-790	62	39	𝑥	𝑥	PRON
cana-790	62	40	contains	contain	VERB
cana-790	62	41	those	those	DET
cana-790	62	42	objects	object	NOUN
cana-790	62	43	of	of	ADP
cana-790	62	44	𝐹(𝑎	𝐹(𝑎	NOUN
cana-790	62	45	)	)	PUNCT
cana-790	62	46	whose	whose	DET
cana-790	62	47	intersection	intersection	NOUN
cana-790	62	48	with	with	ADP
cana-790	62	49	the	the	DET
cana-790	62	50	fuzzy	fuzzy	ADJ
cana-790	62	51	𝛽-neighbourhood	𝛽-neighbourhood	NOUN
cana-790	62	52	is	be	AUX
cana-790	62	53	non	non	X
cana-790	62	54	empty	empty	ADJ
cana-790	62	55	for	for	ADP
cana-790	62	56	every	every	DET
cana-790	62	57	𝑎	𝑎	NOUN
cana-790	62	58	in	in	ADP
cana-790	62	59	𝑁𝛽(𝑥	𝑁𝛽(𝑥	NOUN
cana-790	62	60	)	)	PUNCT
cana-790	62	61	.	.	PUNCT
cana-790	63	1	example	example	NOUN
cana-790	63	2	2.5	2.5	NUM
cana-790	63	3	.	.	PUNCT
cana-790	64	1	consider	consider	VERB
cana-790	64	2	𝐼	𝐼	PROPN
cana-790	64	3	=	=	SYM
cana-790	64	4	(	(	PUNCT
cana-790	64	5	𝑈	𝑈	PROPN
cana-790	64	6	,	,	PUNCT
cana-790	64	7	𝐴	𝐴	PROPN
cana-790	64	8	,	,	PUNCT
cana-790	64	9	𝐹	𝐹	PROPN
cana-790	64	10	)	)	PUNCT
cana-790	64	11	,	,	PUNCT
cana-790	64	12	the	the	DET
cana-790	64	13	covering	covering	NOUN
cana-790	64	14	-	-	PUNCT
cana-790	64	15	based	base	VERB
cana-790	64	16	information	information	NOUN
cana-790	64	17	system	system	NOUN
cana-790	64	18	.	.	PUNCT
cana-790	65	1	let	let	VERB
cana-790	65	2	𝑈	𝑈	PROPN
cana-790	65	3	=	=	SYM
cana-790	65	4	{	{	PUNCT
cana-790	65	5	𝑥1	𝑥1	NOUN
cana-790	65	6	,	,	PUNCT
cana-790	65	7	𝑥2	𝑥2	NOUN
cana-790	65	8	,	,	PUNCT
cana-790	65	9	𝑥3	𝑥3	NOUN
cana-790	65	10	,	,	PUNCT
cana-790	65	11	𝑥4	𝑥4	PROPN
cana-790	65	12	}	}	PUNCT
cana-790	65	13	be	be	VERB
cana-790	65	14	the	the	DET
cana-790	65	15	universal	universal	ADJ
cana-790	65	16	set	set	NOUN
cana-790	65	17	and	and	CCONJ
cana-790	65	18	let	let	VERB
cana-790	65	19	𝐴	𝐴	PROPN
cana-790	65	20	=	=	PUNCT
cana-790	65	21	{	{	PUNCT
cana-790	65	22	𝑎1	𝑎1	PROPN
cana-790	65	23	,	,	PUNCT
cana-790	65	24	𝑎2	𝑎2	PROPN
cana-790	65	25	,	,	PUNCT
cana-790	65	26	𝑎3	𝑎3	PROPN
cana-790	65	27	,	,	PUNCT
cana-790	65	28	𝑎4	𝑎4	PROPN
cana-790	65	29	,	,	PUNCT
cana-790	65	30	𝑎5	𝑎5	PROPN
cana-790	65	31	}	}	PUNCT
cana-790	65	32	be	be	VERB
cana-790	65	33	the	the	DET
cana-790	65	34	set	set	NOUN
cana-790	65	35	of	of	ADP
cana-790	65	36	attributes	attribute	NOUN
cana-790	65	37	.	.	PUNCT
cana-790	66	1	𝐹	𝐹	PROPN
cana-790	66	2	:	:	PUNCT
cana-790	66	3	𝐴	𝐴	PROPN
cana-790	66	4	→	→	SYM
cana-790	66	5	𝒫(𝑈	𝒫(𝑈	PROPN
cana-790	66	6	)	)	PUNCT
cana-790	66	7	be	be	AUX
cana-790	66	8	defined	define	VERB
cana-790	66	9	by	by	ADP
cana-790	66	10	𝐹(𝑎1	𝐹(𝑎1	PROPN
cana-790	66	11	)	)	PUNCT
cana-790	66	12	=	=	PRON
cana-790	66	13	{	{	PUNCT
cana-790	66	14	𝑥1	𝑥1	NOUN
cana-790	66	15	,	,	PUNCT
cana-790	66	16	𝑥4	𝑥4	NOUN
cana-790	66	17	}	}	PUNCT
cana-790	66	18	𝐹(𝑎2	𝐹(𝑎2	NUM
cana-790	66	19	)	)	PUNCT
cana-790	67	1	=	=	PRON
cana-790	67	2	{	{	PUNCT
cana-790	67	3	𝑥1	𝑥1	NOUN
cana-790	67	4	,	,	PUNCT
cana-790	67	5	𝑥3	𝑥3	NOUN
cana-790	67	6	}	}	PUNCT
cana-790	67	7	𝐹(𝑎3	𝐹(𝑎3	NOUN
cana-790	67	8	)	)	PUNCT
cana-790	67	9	=	=	PRON
cana-790	67	10	{	{	PUNCT
cana-790	67	11	𝑥1	𝑥1	NOUN
cana-790	67	12	,	,	PUNCT
cana-790	67	13	𝑥2	𝑥2	NOUN
cana-790	67	14	,	,	PUNCT
cana-790	67	15	,	,	PUNCT
cana-790	67	16	𝑥4	𝑥4	ADJ
cana-790	67	17	}	}	PUNCT
cana-790	67	18	𝐹(𝑎4	𝐹(𝑎4	NOUN
cana-790	67	19	)	)	PUNCT
cana-790	67	20	=	=	SYM
cana-790	67	21	{	{	PUNCT
cana-790	67	22	𝑥3	𝑥3	NOUN
cana-790	67	23	,	,	PUNCT
cana-790	67	24	𝑥4	𝑥4	NOUN
cana-790	67	25	}	}	PUNCT
cana-790	67	26	𝐹(𝑎5	𝐹(𝑎5	PROPN
cana-790	67	27	)	)	PUNCT
cana-790	67	28	=	=	SYM
cana-790	67	29	{	{	PUNCT
cana-790	67	30	𝑥2	𝑥2	NOUN
cana-790	67	31	,	,	PUNCT
cana-790	67	32	𝑥4	𝑥4	NOUN
cana-790	67	33	}	}	PUNCT
cana-790	67	34	by	by	ADP
cana-790	67	35	taking	take	VERB
cana-790	67	36	𝛿𝑎1	𝛿𝑎1	NOUN
cana-790	67	37	=	=	PUNCT
cana-790	67	38	0.2	0.2	NUM
cana-790	67	39	,	,	PUNCT
cana-790	67	40	𝛿𝑎2	𝛿𝑎2	NOUN
cana-790	67	41	=	=	NOUN
cana-790	67	42	0.1	0.1	NUM
cana-790	67	43	,	,	PUNCT
cana-790	67	44	𝛿𝑎3	𝛿𝑎3	NOUN
cana-790	67	45	=	=	SYM
cana-790	67	46	0.3	0.3	NUM
cana-790	67	47	,	,	PUNCT
cana-790	67	48	𝛿𝑎4	𝛿𝑎4	NOUN
cana-790	67	49	=	=	NOUN
cana-790	67	50	0.2	0.2	NUM
cana-790	67	51	,	,	PUNCT
cana-790	67	52	and	and	CCONJ
cana-790	67	53	𝛿𝑎5	𝛿𝑎5	NOUN
cana-790	67	54	=	=	SYM
cana-790	67	55	0.1	0.1	NUM
cana-790	67	56	respectively	respectively	ADV
cana-790	67	57	.	.	PUNCT
cana-790	68	1	the	the	DET
cana-790	68	2	𝛽-reduct	𝛽-reduct	NOUN
cana-790	68	3	and	and	CCONJ
cana-790	68	4	fuzzy	fuzzy	ADJ
cana-790	68	5	𝛽-neighborhood	𝛽-neighborhood	NOUN
cana-790	68	6	for	for	ADP
cana-790	68	7	𝛽	𝛽	NOUN
cana-790	68	8	=	=	SYM
cana-790	68	9	0.2	0.2	NUM
cana-790	68	10	as	as	SCONJ
cana-790	68	11	given	give	VERB
cana-790	68	12	by	by	ADP
cana-790	68	13	table	table	NOUN
cana-790	68	14	2	2	NUM
cana-790	68	15	.	.	PUNCT
cana-790	69	1	the	the	PRON
cana-790	69	2	fuzzy	fuzzy	ADJ
cana-790	69	3	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	69	4	based	base	VERB
cana-790	69	5	soft	soft	ADJ
cana-790	69	6	rough	rough	ADJ
cana-790	69	7	set	set	NOUN
cana-790	69	8	of	of	ADP
cana-790	69	9	an	an	DET
cana-790	69	10	object	object	NOUN
cana-790	69	11	𝑥	𝑥	NOUN
cana-790	69	12	,	,	PUNCT
cana-790	69	13	0.2	0.2	NUM
cana-790	69	14	−	−	NOUN
cana-790	69	15	𝑅𝑆(𝑥	𝑅𝑆(𝑥	X
cana-790	69	16	)	)	PUNCT
cana-790	69	17	is	be	AUX
cana-790	69	18	given	give	VERB
cana-790	69	19	as	as	ADP
cana-790	69	20	in	in	ADP
cana-790	69	21	table	table	NOUN
cana-790	69	22	3	3	NUM
cana-790	69	23	.	.	PUNCT
cana-790	69	24	table	table	NOUN
cana-790	69	25	1	1	NUM
cana-790	69	26	:	:	PUNCT
cana-790	69	27	information	information	NOUN
cana-790	69	28	system	system	NOUN
cana-790	69	29	𝐼	𝐼	PROPN
cana-790	69	30	=	=	SYM
cana-790	69	31	(	(	PUNCT
cana-790	69	32	𝑈	𝑈	PROPN
cana-790	69	33	,	,	PUNCT
cana-790	69	34	𝐴	𝐴	PROPN
cana-790	69	35	,	,	PUNCT
cana-790	69	36	𝐹	𝐹	PROPN
cana-790	69	37	)	)	PUNCT
cana-790	69	38	u	u	NOUN
cana-790	69	39	/	/	SYM
cana-790	69	40	a	a	DET
cana-790	69	41	a1	a1	NOUN
cana-790	69	42	a2	a2	PROPN
cana-790	69	43	a3	a3	NOUN
cana-790	69	44	a4	a4	PROPN
cana-790	69	45	a5	a5	X
cana-790	70	1	x1	x1	PROPN
cana-790	70	2	0.2	0.2	NUM
cana-790	70	3	0.1	0.1	NUM
cana-790	70	4	0.3	0.3	NUM
cana-790	70	5	0.3	0.3	NUM
cana-790	70	6	0.3	0.3	NUM
cana-790	70	7	x2	x2	NOUN
cana-790	70	8	0.4	0.4	NUM
cana-790	70	9	0.2	0.2	NUM
cana-790	70	10	0.3	0.3	NUM
cana-790	70	11	0.4	0.4	NUM
cana-790	70	12	0.1	0.1	NUM
cana-790	70	13	x3	x3	ADJ
cana-790	70	14	0.3	0.3	NUM
cana-790	70	15	0.1	0.1	NUM
cana-790	70	16	0.4	0.4	NUM
cana-790	70	17	0.2	0.2	NUM
cana-790	70	18	0.2	0.2	NUM
cana-790	70	19	x4	x4	NUM
cana-790	70	20	0.2	0.2	NUM
cana-790	70	21	0.3	0.3	NUM
cana-790	70	22	0.1	0.1	NUM
cana-790	70	23	0.2	0.2	NUM
cana-790	70	24	0.1	0.1	NUM
cana-790	70	25	communications	communication	NOUN
cana-790	70	26	on	on	ADP
cana-790	70	27	applied	apply	VERB
cana-790	70	28	nonlinear	nonlinear	ADJ
cana-790	70	29	analysis	analysis	NOUN
cana-790	70	30	issn	issn	NOUN
cana-790	70	31	:	:	PUNCT
cana-790	70	32	1074	1074	NUM
cana-790	70	33	-	-	PUNCT
cana-790	70	34	133x	133x	NUM
cana-790	70	35	vol	vol	NOUN
cana-790	70	36	31	31	NUM
cana-790	70	37	no	no	NOUN
cana-790	70	38	.	.	PUNCT
cana-790	71	1	3s	3s	NUM
cana-790	71	2	(	(	PUNCT
cana-790	71	3	2024	2024	NUM
cana-790	71	4	)	)	PUNCT
cana-790	71	5	408	408	NUM
cana-790	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	71	7	table	table	NOUN
cana-790	71	8	2	2	NUM
cana-790	71	9	:	:	PUNCT
cana-790	71	10	0.2	0.2	NUM
cana-790	71	11	-	-	PUNCT
cana-790	71	12	reduct	reduct	NOUN
cana-790	71	13	and	and	CCONJ
cana-790	71	14	fuzzy	fuzzy	ADJ
cana-790	71	15	0.2	0.2	NUM
cana-790	71	16	-	-	PUNCT
cana-790	71	17	neighbourhood	neighbourhood	NOUN
cana-790	71	18	of	of	ADP
cana-790	71	19	the	the	DET
cana-790	71	20	objects	object	NOUN
cana-790	71	21	𝑼	𝑼	PROPN
cana-790	71	22	𝑵𝟎.𝟐(𝒙	𝑵𝟎.𝟐(𝒙	PROPN
cana-790	71	23	)	)	PUNCT
cana-790	71	24	�	�	PROPN
cana-790	71	25	̃	̃	PROPN
cana-790	71	26	�	�	NOUN
cana-790	71	27	𝟎.𝟐(𝒙	𝟎.𝟐(𝒙	NUM
cana-790	71	28	)	)	PUNCT
cana-790	71	29	x1	x1	PROPN
cana-790	71	30	{	{	PUNCT
cana-790	71	31	𝑎1	𝑎1	PROPN
cana-790	71	32	,	,	PUNCT
cana-790	71	33	𝑎3	𝑎3	PROPN
cana-790	71	34	,	,	PUNCT
cana-790	71	35	𝑎4	𝑎4	PROPN
cana-790	71	36	,	,	PUNCT
cana-790	71	37	𝑎5	𝑎5	PROPN
cana-790	71	38	}	}	PUNCT
cana-790	71	39	{	{	PUNCT
cana-790	71	40	𝑥1	𝑥1	NOUN
cana-790	71	41	,	,	PUNCT
cana-790	71	42	𝑥3	𝑥3	NOUN
cana-790	71	43	}	}	PUNCT
cana-790	71	44	x2	x2	PROPN
cana-790	71	45	{	{	PUNCT
cana-790	71	46	𝑎1	𝑎1	PROPN
cana-790	71	47	,	,	PUNCT
cana-790	71	48	𝑎2	𝑎2	PROPN
cana-790	71	49	,	,	PUNCT
cana-790	71	50	𝑎3	𝑎3	PROPN
cana-790	71	51	,	,	PUNCT
cana-790	71	52	𝑎4	𝑎4	PROPN
cana-790	71	53	}	}	PUNCT
cana-790	71	54	{	{	PUNCT
cana-790	71	55	𝑥2	𝑥2	NOUN
cana-790	71	56	}	}	PUNCT
cana-790	71	57	x3	x3	NOUN
cana-790	71	58	{	{	PUNCT
cana-790	71	59	𝑎1	𝑎1	PROPN
cana-790	71	60	,	,	PUNCT
cana-790	71	61	𝑎3	𝑎3	PROPN
cana-790	71	62	,	,	PUNCT
cana-790	71	63	𝑎4	𝑎4	PROPN
cana-790	71	64	,	,	PUNCT
cana-790	71	65	𝑎5	𝑎5	PROPN
cana-790	71	66	}	}	PUNCT
cana-790	71	67	{	{	PUNCT
cana-790	71	68	𝑥1	𝑥1	NOUN
cana-790	71	69	,	,	PUNCT
cana-790	71	70	𝑥3	𝑥3	NOUN
cana-790	71	71	}	}	PUNCT
cana-790	71	72	x4	x4	PROPN
cana-790	71	73	{	{	PUNCT
cana-790	71	74	𝑎1	𝑎1	PROPN
cana-790	71	75	,	,	PUNCT
cana-790	71	76	𝑎2	𝑎2	PROPN
cana-790	71	77	,	,	PUNCT
cana-790	71	78	𝑎4	𝑎4	PROPN
cana-790	71	79	}	}	PUNCT
cana-790	71	80	{	{	PUNCT
cana-790	71	81	𝑥2	𝑥2	NOUN
cana-790	71	82	,	,	PUNCT
cana-790	71	83	𝑥4	𝑥4	ADJ
cana-790	71	84	}	}	PUNCT
cana-790	71	85	table	table	NOUN
cana-790	71	86	3	3	NUM
cana-790	71	87	:	:	PUNCT
cana-790	71	88	fuzzy	fuzzy	ADJ
cana-790	71	89	0.2	0.2	NUM
cana-790	71	90	-	-	PUNCT
cana-790	71	91	neighbourhood	neighbourhood	NOUN
cana-790	71	92	based	base	VERB
cana-790	71	93	soft	soft	ADJ
cana-790	71	94	rough	rough	ADJ
cana-790	71	95	set	set	NOUN
cana-790	71	96	of	of	ADP
cana-790	71	97	the	the	DET
cana-790	71	98	objects	object	NOUN
cana-790	71	99	𝑼	𝑼	NOUN
cana-790	71	100	𝟎.	𝟎.	X
cana-790	71	101	𝟐	𝟐	NUM
cana-790	71	102	−	−	PROPN
cana-790	71	103	𝐑𝐒(𝒙𝒊	𝐑𝐒(𝒙𝒊	PROPN
cana-790	71	104	)	)	PUNCT
cana-790	71	105	x1	x1	PROPN
cana-790	71	106	(	(	PUNCT
cana-790	71	107	𝐹(𝑎2	𝐹(𝑎2	NOUN
cana-790	71	108	)	)	PUNCT
cana-790	71	109	,	,	PUNCT
cana-790	71	110	𝑈	𝑈	PROPN
cana-790	71	111	−	−	PROPN
cana-790	71	112	𝐹(𝑎5	𝐹(𝑎5	PROPN
cana-790	71	113	)	)	PUNCT
cana-790	71	114	)	)	PUNCT
cana-790	72	1	x2	x2	INTJ
cana-790	72	2	(	(	PUNCT
cana-790	72	3	∅	∅	NOUN
cana-790	72	4	,	,	PUNCT
cana-790	72	5	𝐹(𝑎3	𝐹(𝑎3	NOUN
cana-790	72	6	)	)	PUNCT
cana-790	72	7	∪	∪	ADP
cana-790	72	8	𝐹(𝑎5	𝐹(𝑎5	PROPN
cana-790	72	9	)	)	PUNCT
cana-790	72	10	)	)	PUNCT
cana-790	73	1	x3	x3	INTJ
cana-790	73	2	(	(	PUNCT
cana-790	73	3	𝐹(𝑎2	𝐹(𝑎2	NOUN
cana-790	73	4	)	)	PUNCT
cana-790	73	5	,	,	PUNCT
cana-790	73	6	𝑈	𝑈	PROPN
cana-790	73	7	−	−	PROPN
cana-790	73	8	𝐹(𝑎5	𝐹(𝑎5	PROPN
cana-790	73	9	)	)	PUNCT
cana-790	73	10	)	)	PUNCT
cana-790	74	1	x4	x4	PROPN
cana-790	74	2	(	(	PUNCT
cana-790	74	3	𝐹(𝑎5	𝐹(𝑎5	PROPN
cana-790	74	4	)	)	PUNCT
cana-790	74	5	,	,	PUNCT
cana-790	74	6	𝐹(𝑎1	𝐹(𝑎1	NOUN
cana-790	74	7	)	)	PUNCT
cana-790	74	8	∪	∪	ADP
cana-790	74	9	𝐹(𝑎3	𝐹(𝑎3	NOUN
cana-790	74	10	)	)	PUNCT
cana-790	74	11	∪	∪	ADP
cana-790	74	12	𝐹(𝑎5	𝐹(𝑎5	PROPN
cana-790	74	13	)	)	PUNCT
cana-790	74	14	)	)	PUNCT
cana-790	74	15	remark	remark	VERB
cana-790	74	16	2.6	2.6	NUM
cana-790	74	17	.	.	PUNCT
cana-790	75	1	•	•	NUM
cana-790	75	2	the	the	DET
cana-790	75	3	0.2	0.2	NUM
cana-790	75	4	-	-	PUNCT
cana-790	75	5	reduct	reduct	NOUN
cana-790	75	6	of	of	ADP
cana-790	75	7	𝑥1	𝑥1	PROPN
cana-790	75	8	,	,	PUNCT
cana-790	75	9	𝑁0.2(𝑥1	𝑁0.2(𝑥1	NOUN
cana-790	75	10	)	)	PUNCT
cana-790	75	11	=	=	NOUN
cana-790	75	12	{	{	PUNCT
cana-790	75	13	𝑎1	𝑎1	PROPN
cana-790	75	14	,	,	PUNCT
cana-790	75	15	𝑎3	𝑎3	PROPN
cana-790	75	16	,	,	PUNCT
cana-790	75	17	𝑎4	𝑎4	PROPN
cana-790	75	18	,	,	PUNCT
cana-790	75	19	𝑎5	𝑎5	PROPN
cana-790	75	20	}	}	PUNCT
cana-790	75	21	consists	consist	VERB
cana-790	75	22	those	those	DET
cana-790	75	23	significant	significant	ADJ
cana-790	75	24	attributes	attribute	NOUN
cana-790	75	25	of	of	ADP
cana-790	75	26	𝑥1	𝑥1	NOUN
cana-790	75	27	with	with	ADP
cana-790	75	28	respect	respect	NOUN
cana-790	75	29	to	to	ADP
cana-790	75	30	𝛽	𝛽	NOUN
cana-790	75	31	=	=	NUM
cana-790	75	32	0.2	0.2	NUM
cana-790	75	33	.	.	PUNCT
cana-790	76	1	•	•	NUM
cana-790	76	2	the	the	DET
cana-790	76	3	fuzzy	fuzzy	ADJ
cana-790	76	4	0.2	0.2	NUM
cana-790	76	5	-	-	PUNCT
cana-790	76	6	neighborhood	neighborhood	NOUN
cana-790	76	7	of	of	ADP
cana-790	76	8	𝑥1	𝑥1	NOUN
cana-790	76	9	,	,	PUNCT
cana-790	76	10	{	{	PUNCT
cana-790	76	11	𝑥1	𝑥1	NOUN
cana-790	76	12	,	,	PUNCT
cana-790	76	13	𝑥3	𝑥3	NOUN
cana-790	76	14	}	}	PUNCT
cana-790	76	15	contains	contain	VERB
cana-790	76	16	those	those	DET
cana-790	76	17	objects	object	NOUN
cana-790	76	18	that	that	PRON
cana-790	76	19	are	be	AUX
cana-790	76	20	in	in	ADP
cana-790	76	21	the	the	DET
cana-790	76	22	neighborhood	neighborhood	NOUN
cana-790	76	23	of	of	ADP
cana-790	76	24	𝑥1	𝑥1	NOUN
cana-790	76	25	with	with	ADP
cana-790	76	26	respect	respect	NOUN
cana-790	76	27	to	to	ADP
cana-790	76	28	the	the	DET
cana-790	76	29	0.2	0.2	NUM
cana-790	76	30	-	-	PUNCT
cana-790	76	31	reduct	reduct	NOUN
cana-790	76	32	of	of	ADP
cana-790	76	33	𝑥1	𝑥1	PROPN
cana-790	76	34	.	.	PROPN
cana-790	76	35	•	•	NUM
cana-790	77	1	the	the	DET
cana-790	77	2	fuzzy	fuzzy	ADJ
cana-790	77	3	0.2	0.2	NUM
cana-790	77	4	-	-	PUNCT
cana-790	77	5	neighborhood	neighborhood	NOUN
cana-790	77	6	based	base	VERB
cana-790	77	7	soft	soft	ADJ
cana-790	77	8	rough	rough	ADJ
cana-790	77	9	set	set	NOUN
cana-790	77	10	of	of	ADP
cana-790	77	11	𝑥1	𝑥1	NOUN
cana-790	77	12	,	,	PUNCT
cana-790	77	13	0.2	0.2	NUM
cana-790	77	14	−	−	NOUN
cana-790	77	15	rs(𝑥1	rs(𝑥1	ADV
cana-790	77	16	)	)	PUNCT
cana-790	77	17	=	=	SYM
cana-790	77	18	(	(	PUNCT
cana-790	77	19	𝐹(𝑎2	𝐹(𝑎2	NOUN
cana-790	77	20	)	)	PUNCT
cana-790	77	21	,	,	PUNCT
cana-790	77	22	𝑈	𝑈	PROPN
cana-790	77	23	−	−	PROPN
cana-790	77	24	𝐹(𝑎5	𝐹(𝑎5	PROPN
cana-790	77	25	)	)	PUNCT
cana-790	77	26	)	)	PUNCT
cana-790	77	27	consists	consist	VERB
cana-790	77	28	of	of	ADP
cana-790	77	29	the	the	DET
cana-790	77	30	lower	low	ADJ
cana-790	77	31	and	and	CCONJ
cana-790	77	32	upper	upper	ADJ
cana-790	77	33	approximation	approximation	NOUN
cana-790	77	34	spaces	space	NOUN
cana-790	77	35	of	of	ADP
cana-790	77	36	the	the	DET
cana-790	77	37	object	object	NOUN
cana-790	77	38	𝑥1	𝑥1	PROPN
cana-790	77	39	.	.	PUNCT
cana-790	78	1	the	the	DET
cana-790	78	2	lower	low	ADJ
cana-790	78	3	approximation	approximation	NOUN
cana-790	78	4	space	space	NOUN
cana-790	78	5	,	,	PUNCT
cana-790	78	6	�	�	PROPN
cana-790	78	7	̃	̃	PROPN
cana-790	78	8	�	�	NOUN
cana-790	78	9	0.2(𝑥1	0.2(𝑥1	NOUN
cana-790	78	10	)	)	PUNCT
cana-790	78	11	_	_	PUNCT
cana-790	78	12	contains	contain	VERB
cana-790	78	13	𝐹(𝑎2	𝐹(𝑎2	NOUN
cana-790	78	14	)	)	PUNCT
cana-790	78	15	which	which	PRON
cana-790	78	16	is	be	AUX
cana-790	78	17	completely	completely	ADV
cana-790	78	18	contained	contain	VERB
cana-790	78	19	in	in	ADP
cana-790	78	20	the	the	DET
cana-790	78	21	fuzzy	fuzzy	ADJ
cana-790	78	22	0.2	0.2	NUM
cana-790	78	23	neighborhood	neighborhood	NOUN
cana-790	78	24	of	of	ADP
cana-790	78	25	𝑥1	𝑥1	NOUN
cana-790	78	26	where	where	SCONJ
cana-790	78	27	{	{	PUNCT
cana-790	78	28	𝑎1	𝑎1	PROPN
cana-790	78	29	,	,	PUNCT
cana-790	78	30	𝑎3	𝑎3	PROPN
cana-790	78	31	,	,	PUNCT
cana-790	78	32	𝑎4	𝑎4	PROPN
cana-790	78	33	,	,	PUNCT
cana-790	78	34	𝑎5	𝑎5	PROPN
cana-790	78	35	}	}	PUNCT
cana-790	78	36	are	be	AUX
cana-790	78	37	in	in	ADP
cana-790	78	38	𝑁0.2(𝑥1	𝑁0.2(𝑥1	NOUN
cana-790	78	39	)	)	PUNCT
cana-790	78	40	.	.	PUNCT
cana-790	79	1	•	•	NUM
cana-790	79	2	the	the	DET
cana-790	79	3	upper	upper	ADJ
cana-790	79	4	approximation	approximation	NOUN
cana-790	79	5	space	space	NOUN
cana-790	79	6	,	,	PUNCT
cana-790	79	7	�	�	PROPN
cana-790	79	8	̃	̃	PROPN
cana-790	79	9	�	�	NOUN
cana-790	79	10	0.2(𝑥1	0.2(𝑥1	NOUN
cana-790	79	11	)	)	PUNCT
cana-790	79	12	–	–	PUNCT
cana-790	79	13	contains	contain	VERB
cana-790	79	14	all	all	DET
cana-790	79	15	the	the	DET
cana-790	79	16	objects	object	NOUN
cana-790	79	17	in	in	ADP
cana-790	79	18	{	{	PUNCT
cana-790	79	19	𝐹(𝑎1	𝐹(𝑎1	NOUN
cana-790	79	20	)	)	PUNCT
cana-790	79	21	,	,	PUNCT
cana-790	79	22	𝐹(𝑎2	𝐹(𝑎2	NOUN
cana-790	79	23	)	)	PUNCT
cana-790	79	24	,	,	PUNCT
cana-790	79	25	𝐹(𝑎3	𝐹(𝑎3	NOUN
cana-790	79	26	)	)	PUNCT
cana-790	79	27	,	,	PUNCT
cana-790	79	28	𝐹(𝑎4	𝐹(𝑎4	PROPN
cana-790	79	29	)	)	PUNCT
cana-790	79	30	}	}	PUNCT
cana-790	79	31	whose	whose	DET
cana-790	79	32	intersection	intersection	NOUN
cana-790	79	33	with	with	ADP
cana-790	79	34	the	the	DET
cana-790	79	35	fuzzy	fuzzy	ADJ
cana-790	79	36	0.2	0.2	NUM
cana-790	79	37	neighborhood	neighborhood	NOUN
cana-790	79	38	is	be	AUX
cana-790	79	39	nonempty	nonempty	ADJ
cana-790	79	40	where	where	SCONJ
cana-790	79	41	{	{	PUNCT
cana-790	79	42	𝑎1	𝑎1	NOUN
cana-790	79	43	,	,	PUNCT
cana-790	79	44	𝑎2	𝑎2	PROPN
cana-790	79	45	,	,	PUNCT
cana-790	79	46	𝑎3	𝑎3	PROPN
cana-790	79	47	,	,	PUNCT
cana-790	79	48	𝑎4	𝑎4	PROPN
cana-790	79	49	}	}	PUNCT
cana-790	79	50	are	be	AUX
cana-790	79	51	all	all	ADV
cana-790	79	52	in	in	ADP
cana-790	79	53	𝑁0.2(𝑥1	𝑁0.2(𝑥1	NOUN
cana-790	79	54	)	)	PUNCT
cana-790	79	55	.	.	PUNCT
cana-790	80	1	from	from	ADP
cana-790	80	2	the	the	DET
cana-790	80	3	given	give	VERB
cana-790	80	4	example	example	NOUN
cana-790	80	5	,	,	PUNCT
cana-790	80	6	it	it	PRON
cana-790	80	7	can	can	AUX
cana-790	80	8	be	be	AUX
cana-790	80	9	observed	observe	VERB
cana-790	80	10	that	that	SCONJ
cana-790	80	11	the	the	DET
cana-790	80	12	𝛽-reduct	𝛽-reduct	NOUN
cana-790	80	13	is	be	AUX
cana-790	80	14	the	the	DET
cana-790	80	15	set	set	NOUN
cana-790	80	16	of	of	ADP
cana-790	80	17	attributes	attribute	NOUN
cana-790	80	18	that	that	PRON
cana-790	80	19	primarily	primarily	ADV
cana-790	80	20	characterize	characterize	VERB
cana-790	80	21	the	the	DET
cana-790	80	22	chosen	choose	VERB
cana-790	80	23	object	object	NOUN
cana-790	80	24	𝑥	𝑥	NOUN
cana-790	80	25	,	,	PUNCT
cana-790	80	26	the	the	DET
cana-790	80	27	fuzzy	fuzzy	ADJ
cana-790	80	28	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	80	29	[	[	X
cana-790	80	30	19	19	NUM
cana-790	80	31	]	]	PUNCT
cana-790	80	32	embodies	embody	VERB
cana-790	80	33	those	those	DET
cana-790	80	34	neighbors	neighbor	NOUN
cana-790	80	35	of	of	ADP
cana-790	80	36	x	x	PRON
cana-790	80	37	that	that	PRON
cana-790	80	38	resemble	resemble	VERB
cana-790	80	39	the	the	DET
cana-790	80	40	chosen	choose	VERB
cana-790	80	41	object	object	NOUN
cana-790	80	42	in	in	ADP
cana-790	80	43	terms	term	NOUN
cana-790	80	44	of	of	ADP
cana-790	80	45	the	the	DET
cana-790	80	46	attributes	attribute	NOUN
cana-790	80	47	that	that	PRON
cana-790	80	48	characterize	characterize	VERB
cana-790	80	49	it	it	PRON
cana-790	80	50	.	.	PUNCT
cana-790	81	1	thus	thus	ADV
cana-790	81	2	,	,	PUNCT
cana-790	81	3	by	by	ADP
cana-790	81	4	making	make	VERB
cana-790	81	5	an	an	DET
cana-790	81	6	appropriate	appropriate	ADJ
cana-790	81	7	choice	choice	NOUN
cana-790	81	8	for	for	ADP
cana-790	81	9	𝛽	𝛽	NOUN
cana-790	81	10	,	,	PUNCT
cana-790	81	11	one	one	PRON
cana-790	81	12	can	can	AUX
cana-790	81	13	regulate	regulate	VERB
cana-790	81	14	the	the	DET
cana-790	81	15	lower	low	ADJ
cana-790	81	16	approximation	approximation	NOUN
cana-790	81	17	space	space	NOUN
cana-790	81	18	to	to	PART
cana-790	81	19	record	record	VERB
cana-790	81	20	the	the	DET
cana-790	81	21	neighborhood	neighborhood	NOUN
cana-790	81	22	that	that	PRON
cana-790	81	23	closely	closely	ADV
cana-790	81	24	identifies	identify	VERB
cana-790	81	25	with	with	ADP
cana-790	81	26	the	the	DET
cana-790	81	27	pivotal	pivotal	ADJ
cana-790	81	28	qualities	quality	NOUN
cana-790	81	29	represented	represent	VERB
cana-790	81	30	by	by	ADP
cana-790	81	31	the	the	DET
cana-790	81	32	chosen	choose	VERB
cana-790	81	33	object	object	NOUN
cana-790	81	34	with	with	ADP
cana-790	81	35	excellent	excellent	ADJ
cana-790	81	36	precision	precision	NOUN
cana-790	81	37	.	.	PUNCT
cana-790	82	1	3	3	X
cana-790	82	2	.	.	X
cana-790	82	3	implementation	implementation	NOUN
cana-790	82	4	of	of	ADP
cana-790	82	5	fuzzy	fuzzy	ADJ
cana-790	82	6	β	β	NOUN
cana-790	82	7	-	-	ADJ
cana-790	82	8	neighborhood	neighborhood	NOUN
cana-790	82	9	based	base	VERB
cana-790	82	10	soft	soft	ADJ
cana-790	82	11	rough	rough	ADJ
cana-790	82	12	sets	set	NOUN
cana-790	82	13	to	to	PART
cana-790	82	14	detect	detect	VERB
cana-790	82	15	autism	autism	NOUN
cana-790	82	16	objective	objective	NOUN
cana-790	82	17	:	:	PUNCT
cana-790	82	18	•	•	ADP
cana-790	82	19	to	to	PART
cana-790	82	20	determine	determine	VERB
cana-790	82	21	whether	whether	SCONJ
cana-790	82	22	an	an	DET
cana-790	82	23	object	object	NOUN
cana-790	82	24	is	be	AUX
cana-790	82	25	autistic	autistic	ADJ
cana-790	82	26	or	or	CCONJ
cana-790	82	27	otherwise	otherwise	ADV
cana-790	82	28	using	use	VERB
cana-790	82	29	the	the	DET
cana-790	82	30	𝛽-rs	𝛽-rs	PROPN
cana-790	82	31	model	model	NOUN
cana-790	82	32	by	by	ADP
cana-790	82	33	studying	study	VERB
cana-790	82	34	the	the	DET
cana-790	82	35	facial	facial	ADJ
cana-790	82	36	features	feature	NOUN
cana-790	82	37	of	of	ADP
cana-790	82	38	the	the	DET
cana-790	82	39	object	object	NOUN
cana-790	82	40	through	through	ADP
cana-790	82	41	collected	collect	VERB
cana-790	82	42	face	face	NOUN
cana-790	82	43	landmark	landmark	NOUN
cana-790	82	44	points	point	NOUN
cana-790	82	45	.	.	PUNCT
cana-790	83	1	communications	communication	NOUN
cana-790	83	2	on	on	ADP
cana-790	83	3	applied	apply	VERB
cana-790	83	4	nonlinear	nonlinear	ADJ
cana-790	83	5	analysis	analysis	NOUN
cana-790	83	6	issn	issn	NOUN
cana-790	83	7	:	:	PUNCT
cana-790	83	8	1074	1074	NUM
cana-790	83	9	-	-	PUNCT
cana-790	83	10	133x	133x	NUM
cana-790	83	11	vol	vol	NOUN
cana-790	83	12	31	31	NUM
cana-790	83	13	no	no	NOUN
cana-790	83	14	.	.	PUNCT
cana-790	84	1	3s	3s	NUM
cana-790	84	2	(	(	PUNCT
cana-790	84	3	2024	2024	NUM
cana-790	84	4	)	)	PUNCT
cana-790	84	5	409	409	NUM
cana-790	84	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	84	7	•	•	NOUN
cana-790	84	8	to	to	PART
cana-790	84	9	classify	classify	VERB
cana-790	84	10	the	the	DET
cana-790	84	11	different	different	ADJ
cana-790	84	12	levels	level	NOUN
cana-790	84	13	of	of	ADP
cana-790	84	14	autism	autism	NOUN
cana-790	84	15	using	use	VERB
cana-790	84	16	the	the	DET
cana-790	84	17	defined	define	VERB
cana-790	84	18	𝛽−rs	𝛽−rs	ADJ
cana-790	84	19	model	model	NOUN
cana-790	84	20	.	.	PUNCT
cana-790	85	1	data	datum	NOUN
cana-790	85	2	:	:	PUNCT
cana-790	85	3	a	a	DET
cana-790	85	4	public	public	ADJ
cana-790	85	5	dataset	dataset	NOUN
cana-790	85	6	taken	take	VERB
cana-790	85	7	from	from	ADP
cana-790	85	8	kaggle	kaggle	NOUN
cana-790	85	9	has	have	AUX
cana-790	85	10	been	be	AUX
cana-790	85	11	utilized	utilize	VERB
cana-790	85	12	for	for	ADP
cana-790	85	13	the	the	DET
cana-790	85	14	prediction	prediction	NOUN
cana-790	85	15	of	of	ADP
cana-790	85	16	autism	autism	NOUN
cana-790	85	17	in	in	ADP
cana-790	85	18	individuals	individual	NOUN
cana-790	85	19	.	.	PUNCT
cana-790	86	1	consider	consider	VERB
cana-790	86	2	𝐼	𝐼	PROPN
cana-790	86	3	=	=	SYM
cana-790	86	4	(	(	PUNCT
cana-790	86	5	𝑈	𝑈	PROPN
cana-790	86	6	,	,	PUNCT
cana-790	86	7	𝐹	𝐹	PROPN
cana-790	86	8	,	,	PUNCT
cana-790	86	9	𝐴	𝐴	PROPN
cana-790	86	10	)	)	PUNCT
cana-790	86	11	be	be	VERB
cana-790	86	12	the	the	DET
cana-790	86	13	covering	covering	NOUN
cana-790	86	14	-	-	PUNCT
cana-790	86	15	based	base	VERB
cana-790	86	16	information	information	NOUN
cana-790	86	17	system	system	NOUN
cana-790	86	18	.	.	PUNCT
cana-790	87	1	let	let	VERB
cana-790	87	2	𝑈	𝑈	PROPN
cana-790	87	3	=	=	SYM
cana-790	87	4	{	{	PUNCT
cana-790	87	5	𝑢1	𝑢1	PROPN
cana-790	87	6	,	,	PUNCT
cana-790	87	7	𝑢2	𝑢2	PROPN
cana-790	87	8	,	,	PUNCT
cana-790	87	9	𝑢3	𝑢3	PROPN
cana-790	87	10	,	,	PUNCT
cana-790	87	11	.	.	PUNCT
cana-790	87	12	.	.	PUNCT
cana-790	88	1	.	.	PUNCT
cana-790	89	1	,	,	PUNCT
cana-790	89	2	𝑢200	𝑢200	PRON
cana-790	89	3	}	}	PUNCT
cana-790	89	4	be	be	VERB
cana-790	89	5	the	the	DET
cana-790	89	6	universal	universal	ADJ
cana-790	89	7	set	set	NOUN
cana-790	89	8	of	of	ADP
cana-790	89	9	face	face	NOUN
cana-790	89	10	images	image	NOUN
cana-790	89	11	,	,	PUNCT
cana-790	89	12	𝐴	𝐴	PROPN
cana-790	89	13	=	=	PUNCT
cana-790	89	14	{	{	PUNCT
cana-790	89	15	𝑎1	𝑎1	PROPN
cana-790	89	16	,	,	PUNCT
cana-790	89	17	𝑎2	𝑎2	PROPN
cana-790	89	18	,	,	PUNCT
cana-790	89	19	𝑎3	𝑎3	PROPN
cana-790	89	20	,	,	PUNCT
cana-790	89	21	.	.	PUNCT
cana-790	89	22	.	.	PUNCT
cana-790	90	1	.	.	PUNCT
cana-790	91	1	,	,	PUNCT
cana-790	91	2	𝑎15	𝑎15	PROPN
cana-790	91	3	}	}	PUNCT
cana-790	91	4	be	be	VERB
cana-790	91	5	the	the	DET
cana-790	91	6	attribute	attribute	NOUN
cana-790	91	7	set	set	VERB
cana-790	91	8	of	of	ADP
cana-790	91	9	pivotal	pivotal	ADJ
cana-790	91	10	face	face	NOUN
cana-790	91	11	landmark	landmark	NOUN
cana-790	91	12	points	point	NOUN
cana-790	91	13	of	of	ADP
cana-790	91	14	the	the	DET
cana-790	91	15	objects	object	NOUN
cana-790	91	16	where	where	SCONJ
cana-790	91	17	each	each	DET
cana-790	91	18	attribute	attribute	NOUN
cana-790	91	19	is	be	AUX
cana-790	91	20	an	an	DET
cana-790	91	21	ordered	order	VERB
cana-790	91	22	pair	pair	NOUN
cana-790	91	23	of	of	ADP
cana-790	91	24	coordinates	coordinate	NOUN
cana-790	91	25	𝑎𝑖	𝑎𝑖	X
cana-790	91	26	=	=	SYM
cana-790	91	27	(	(	PUNCT
cana-790	91	28	𝑎𝑥𝑖	𝑎𝑥𝑖	PROPN
cana-790	91	29	,	,	PUNCT
cana-790	91	30	𝑎𝑦𝑖	𝑎𝑦𝑖	PROPN
cana-790	91	31	)	)	PUNCT
cana-790	91	32	.	.	PUNCT
cana-790	92	1	consequently	consequently	ADV
cana-790	92	2	,	,	PUNCT
cana-790	92	3	the	the	DET
cana-790	92	4	membership	membership	NOUN
cana-790	92	5	value	value	NOUN
cana-790	92	6	of	of	ADP
cana-790	92	7	every	every	DET
cana-790	92	8	object	object	NOUN
cana-790	92	9	with	with	ADP
cana-790	92	10	respect	respect	NOUN
cana-790	92	11	to	to	ADP
cana-790	92	12	each	each	DET
cana-790	92	13	attribute	attribute	NOUN
cana-790	92	14	is	be	AUX
cana-790	92	15	denoted	denote	VERB
cana-790	92	16	as	as	ADP
cana-790	92	17	𝜇	𝜇	ADP
cana-790	92	18	𝑎𝑖	𝑎𝑖	DET
cana-790	92	19	(	(	PUNCT
cana-790	92	20	𝑢𝑗	𝑢𝑗	NOUN
cana-790	92	21	)	)	PUNCT
cana-790	92	22	=	=	SYM
cana-790	92	23	(	(	PUNCT
cana-790	92	24	𝜇𝑎𝑥𝑖	𝜇𝑎𝑥𝑖	NOUN
cana-790	92	25	(	(	PUNCT
cana-790	92	26	𝑢𝑗	𝑢𝑗	NOUN
cana-790	92	27	)	)	PUNCT
cana-790	92	28	,	,	PUNCT
cana-790	92	29	𝜇𝑎𝑦𝑖	𝜇𝑎𝑦𝑖	PROPN
cana-790	92	30	(	(	PUNCT
cana-790	92	31	𝑢𝑗	𝑢𝑗	NOUN
cana-790	92	32	)	)	PUNCT
cana-790	92	33	)	)	PUNCT
cana-790	92	34	,	,	PUNCT
cana-790	93	1	∀𝑖	∀𝑖	PROPN
cana-790	93	2	=	=	SYM
cana-790	93	3	1	1	NUM
cana-790	93	4	,	,	PUNCT
cana-790	93	5	2	2	NUM
cana-790	93	6	,	,	PUNCT
cana-790	93	7	.	.	PUNCT
cana-790	93	8	.	.	PUNCT
cana-790	93	9	.	.	PUNCT
cana-790	94	1	,	,	PUNCT
cana-790	94	2	15	15	NUM
cana-790	94	3	and	and	CCONJ
cana-790	94	4	𝑗	𝑗	NOUN
cana-790	94	5	=	=	ADJ
cana-790	94	6	1	1	NUM
cana-790	94	7	,	,	PUNCT
cana-790	94	8	2	2	NUM
cana-790	94	9	,	,	PUNCT
cana-790	94	10	.	.	PUNCT
cana-790	94	11	.	.	PUNCT
cana-790	95	1	.	.	PUNCT
cana-790	96	1	,	,	PUNCT
cana-790	96	2	200	200	NUM
cana-790	96	3	and	and	CCONJ
cana-790	96	4	𝐹	𝐹	PROPN
cana-790	96	5	:	:	PUNCT
cana-790	96	6	𝐴	𝐴	PROPN
cana-790	96	7	→	→	SYM
cana-790	96	8	𝒫(𝑈	𝒫(𝑈	NOUN
cana-790	96	9	)	)	PUNCT
cana-790	96	10	is	be	AUX
cana-790	96	11	given	give	VERB
cana-790	96	12	by	by	ADP
cana-790	96	13	𝐹	𝐹	PROPN
cana-790	96	14	(	(	PUNCT
cana-790	96	15	𝑎𝑖	𝑎𝑖	PROPN
cana-790	96	16	)	)	PUNCT
cana-790	96	17	=	=	NOUN
cana-790	96	18	{	{	PUNCT
cana-790	96	19	𝑢	𝑢	PART
cana-790	96	20	∈	∈	PROPN
cana-790	96	21	𝑈	𝑈	PROPN
cana-790	96	22	∶	∶	NOUN
cana-790	96	23	|𝜇𝑎𝑖	|𝜇𝑎𝑖	PUNCT
cana-790	96	24	(	(	PUNCT
cana-790	96	25	𝑢	𝑢	X
cana-790	96	26	)	)	PUNCT
cana-790	96	27	−	−	NOUN
cana-790	96	28	𝜇𝑠𝑡𝑑𝑎𝑖	𝜇𝑠𝑡𝑑𝑎𝑖	NOUN
cana-790	96	29	(	(	PUNCT
cana-790	96	30	𝑢)|	𝑢)|	PROPN
cana-790	96	31	≤	≤	PROPN
cana-790	96	32	𝛿𝑎𝑖	𝛿𝑎𝑖	NUM
cana-790	96	33	}	}	PUNCT
cana-790	96	34	𝜇𝑠𝑡𝑑𝑎𝑖	𝜇𝑠𝑡𝑑𝑎𝑖	NOUN
cana-790	96	35	(	(	PUNCT
cana-790	96	36	𝑢	𝑢	X
cana-790	96	37	)	)	PUNCT
cana-790	96	38	is	be	AUX
cana-790	96	39	the	the	DET
cana-790	96	40	mean	mean	NOUN
cana-790	96	41	of	of	ADP
cana-790	96	42	𝜇𝑎𝑖	𝜇𝑎𝑖	PROPN
cana-790	96	43	(	(	PUNCT
cana-790	96	44	𝑢	𝑢	NOUN
cana-790	96	45	)	)	PUNCT
cana-790	96	46	of	of	ADP
cana-790	96	47	neurotypical	neurotypical	ADJ
cana-790	96	48	individuals	individual	NOUN
cana-790	96	49	and	and	CCONJ
cana-790	96	50	𝛿𝑎𝑖	𝛿𝑎𝑖	NUM
cana-790	96	51	=	=	SYM
cana-790	96	52	0.03	0.03	NUM
cana-790	96	53	which	which	PRON
cana-790	96	54	has	have	AUX
cana-790	96	55	been	be	AUX
cana-790	96	56	chosen	choose	VERB
cana-790	96	57	following	follow	VERB
cana-790	96	58	thorough	thorough	ADJ
cana-790	96	59	experimentation	experimentation	NOUN
cana-790	96	60	and	and	CCONJ
cana-790	96	61	expert	expert	NOUN
cana-790	96	62	knowledge	knowledge	NOUN
cana-790	96	63	.	.	PUNCT
cana-790	97	1	in	in	ADP
cana-790	97	2	figure	figure	NOUN
cana-790	97	3	1	1	NUM
cana-790	97	4	,	,	PUNCT
cana-790	97	5	the	the	DET
cana-790	97	6	attributes	attribute	NOUN
cana-790	97	7	,	,	PUNCT
cana-790	97	8	i.e.	i.e.	X
cana-790	97	9	,	,	PUNCT
cana-790	97	10	the	the	DET
cana-790	97	11	15	15	NUM
cana-790	97	12	facial	facial	ADJ
cana-790	97	13	features	feature	NOUN
cana-790	97	14	points	point	NOUN
cana-790	97	15	and	and	CCONJ
cana-790	97	16	their	their	PRON
cana-790	97	17	location	location	NOUN
cana-790	97	18	of	of	ADP
cana-790	97	19	an	an	DET
cana-790	97	20	object	object	NOUN
cana-790	97	21	𝑢1	𝑢1	NOUN
cana-790	97	22	is	be	AUX
cana-790	97	23	shown	show	VERB
cana-790	97	24	.	.	PUNCT
cana-790	98	1	the	the	DET
cana-790	98	2	corresponding	correspond	VERB
cana-790	98	3	membership	membership	NOUN
cana-790	98	4	values	value	NOUN
cana-790	98	5	of	of	ADP
cana-790	98	6	the	the	DET
cana-790	98	7	object	object	NOUN
cana-790	98	8	𝑢1	𝑢1	NOUN
cana-790	98	9	for	for	ADP
cana-790	98	10	the	the	DET
cana-790	98	11	15	15	NUM
cana-790	98	12	facial	facial	ADJ
cana-790	98	13	features	feature	NOUN
cana-790	98	14	is	be	AUX
cana-790	98	15	given	give	VERB
cana-790	98	16	in	in	ADP
cana-790	98	17	table	table	NOUN
cana-790	98	18	4	4	NUM
cana-790	98	19	.	.	PUNCT
cana-790	98	20	table	table	NOUN
cana-790	98	21	4	4	NUM
cana-790	98	22	:	:	PUNCT
cana-790	98	23	location	location	NOUN
cana-790	98	24	of	of	ADP
cana-790	98	25	15	15	NUM
cana-790	98	26	facial	facial	ADJ
cana-790	98	27	feature	feature	NOUN
cana-790	98	28	points	point	NOUN
cana-790	98	29	of	of	ADP
cana-790	98	30	an	an	DET
cana-790	98	31	object	object	NOUN
cana-790	98	32	point	point	NOUN
cana-790	98	33	coordinates	coordinate	NOUN
cana-790	98	34	name	name	VERB
cana-790	98	35	𝝁𝒂𝒊(𝒙	𝝁𝒂𝒊(𝒙	PROPN
cana-790	98	36	)	)	PUNCT
cana-790	98	37	a	a	DET
cana-790	98	38	(	(	PUNCT
cana-790	98	39	𝐿𝐶𝑥	𝐿𝐶𝑥	NOUN
cana-790	98	40	,	,	PUNCT
cana-790	98	41	𝐿𝐶𝑦	𝐿𝐶𝑦	NOUN
cana-790	98	42	)	)	PUNCT
cana-790	98	43	left	leave	VERB
cana-790	98	44	eye	eye	NOUN
cana-790	98	45	centre	centre	NOUN
cana-790	98	46	(	(	PUNCT
cana-790	98	47	0.680	0.680	NUM
cana-790	98	48	,	,	PUNCT
cana-790	98	49	0.852	0.852	NUM
cana-790	98	50	)	)	PUNCT
cana-790	98	51	b	b	NOUN
cana-790	98	52	(	(	PUNCT
cana-790	98	53	𝑅𝐶𝑥	𝑅𝐶𝑥	NOUN
cana-790	98	54	,	,	PUNCT
cana-790	98	55	𝑅𝐶𝑦	𝑅𝐶𝑦	NOUN
cana-790	98	56	)	)	PUNCT
cana-790	98	57	right	right	ADJ
cana-790	98	58	eye	eye	NOUN
cana-790	98	59	centre	centre	NOUN
cana-790	98	60	(	(	PUNCT
cana-790	98	61	0.577	0.577	NUM
cana-790	98	62	,	,	PUNCT
cana-790	98	63	0.750	0.750	NUM
cana-790	98	64	)	)	PUNCT
cana-790	98	65	c	c	NOUN
cana-790	98	66	(	(	PUNCT
cana-790	98	67	𝐿𝐼𝑥	𝐿𝐼𝑥	PROPN
cana-790	98	68	,	,	PUNCT
cana-790	98	69	𝐿𝐼𝑦	𝐿𝐼𝑦	PROPN
cana-790	98	70	)	)	PUNCT
cana-790	98	71	left	leave	VERB
cana-790	98	72	eye	eye	NOUN
cana-790	98	73	inner	inner	ADJ
cana-790	98	74	corner	corner	NOUN
cana-790	98	75	(	(	PUNCT
cana-790	98	76	0.814	0.814	NUM
cana-790	98	77	,	,	PUNCT
cana-790	98	78	0.784	0.784	NUM
cana-790	98	79	)	)	PUNCT
cana-790	98	80	d	d	NOUN
cana-790	98	81	(	(	PUNCT
cana-790	98	82	𝐿𝑂𝑥	𝐿𝑂𝑥	NOUN
cana-790	98	83	,	,	PUNCT
cana-790	98	84	𝐿𝑂𝑦	𝐿𝑂𝑦	NOUN
cana-790	98	85	)	)	PUNCT
cana-790	98	86	left	leave	VERB
cana-790	98	87	eye	eye	NOUN
cana-790	98	88	outer	outer	ADJ
cana-790	98	89	corner	corner	NOUN
cana-790	98	90	(	(	PUNCT
cana-790	98	91	0.505	0.505	NUM
cana-790	98	92	,	,	PUNCT
cana-790	98	93	0.852	0.852	NUM
cana-790	98	94	)	)	PUNCT
cana-790	98	95	e	e	NOUN
cana-790	98	96	(	(	PUNCT
cana-790	98	97	𝑅𝐼𝑥	𝑅𝐼𝑥	NOUN
cana-790	98	98	,	,	PUNCT
cana-790	98	99	𝑅𝐼𝑦	𝑅𝐼𝑦	NOUN
cana-790	98	100	)	)	PUNCT
cana-790	98	101	right	right	ADJ
cana-790	98	102	eye	eye	NOUN
cana-790	98	103	inner	inner	ADJ
cana-790	98	104	corner	corner	NOUN
cana-790	98	105	(	(	PUNCT
cana-790	98	106	0.753	0.753	NUM
cana-790	98	107	,	,	PUNCT
cana-790	98	108	0.739	0.739	NUM
cana-790	98	109	)	)	PUNCT
cana-790	98	110	f	f	NOUN
cana-790	98	111	(	(	PUNCT
cana-790	98	112	𝑅𝑂𝑥	𝑅𝑂𝑥	NOUN
cana-790	98	113	,	,	PUNCT
cana-790	98	114	𝑅𝑂𝑦	𝑅𝑂𝑦	NOUN
cana-790	98	115	)	)	PUNCT
cana-790	98	116	right	right	ADJ
cana-790	98	117	eye	eye	NOUN
cana-790	98	118	outer	outer	ADJ
cana-790	98	119	corner	corner	NOUN
cana-790	98	120	(	(	PUNCT
cana-790	98	121	0.423	0.423	NUM
cana-790	98	122	,	,	PUNCT
cana-790	98	123	0.682	0.682	NUM
cana-790	98	124	)	)	PUNCT
cana-790	98	125	g	g	NOUN
cana-790	98	126	(	(	PUNCT
cana-790	98	127	𝐿𝐸𝐼𝑥	𝐿𝐸𝐼𝑥	NOUN
cana-790	98	128	,	,	PUNCT
cana-790	98	129	𝐿𝐸𝐼𝑦	𝐿𝐸𝐼𝑦	NOUN
cana-790	98	130	)	)	PUNCT
cana-790	98	131	left	leave	VERB
cana-790	98	132	eyebrow	eyebrow	NOUN
cana-790	98	133	inner	inner	ADJ
cana-790	98	134	corner	corner	NOUN
cana-790	98	135	(	(	PUNCT
cana-790	98	136	0.866	0.866	NUM
cana-790	98	137	,	,	PUNCT
cana-790	98	138	0.943	0.943	NUM
cana-790	98	139	)	)	PUNCT
cana-790	98	140	h	h	NOUN
cana-790	98	141	(	(	PUNCT
cana-790	98	142	𝐿𝐸𝑂𝑥	𝐿𝐸𝑂𝑥	NOUN
cana-790	98	143	,	,	PUNCT
cana-790	98	144	𝐿𝐸𝑂𝑦	𝐿𝐸𝑂𝑦	PROPN
cana-790	98	145	)	)	PUNCT
cana-790	98	146	left	leave	VERB
cana-790	98	147	eyebrow	eyebrow	NOUN
cana-790	98	148	outer	outer	ADJ
cana-790	98	149	corner	corner	NOUN
cana-790	98	150	(	(	PUNCT
cana-790	98	151	0.330	0.330	NUM
cana-790	98	152	,	,	PUNCT
cana-790	98	153	0.977	0.977	NUM
cana-790	98	154	)	)	PUNCT
cana-790	99	1	i	i	PRON
cana-790	99	2	(	(	PUNCT
cana-790	99	3	𝑅𝐸𝐼𝑥	𝑅𝐸𝐼𝑥	NOUN
cana-790	99	4	,	,	PUNCT
cana-790	99	5	𝑅𝐸𝐼𝑦	𝑅𝐸𝐼𝑦	NOUN
cana-790	99	6	)	)	PUNCT
cana-790	99	7	right	right	ADJ
cana-790	99	8	eyebrow	eyebrow	PROPN
cana-790	99	9	inner	inner	ADJ
cana-790	99	10	corner	corner	NOUN
cana-790	99	11	(	(	PUNCT
cana-790	99	12	0.742	0.742	NUM
cana-790	99	13	,	,	PUNCT
cana-790	99	14	0.886	0.886	NUM
cana-790	99	15	)	)	PUNCT
cana-790	99	16	j	j	PROPN
cana-790	99	17	(	(	PUNCT
cana-790	99	18	𝑅𝐸𝑂𝑥	𝑅𝐸𝑂𝑥	NOUN
cana-790	99	19	,	,	PUNCT
cana-790	99	20	𝑅𝐸𝑂𝑦	𝑅𝐸𝑂𝑦	NOUN
cana-790	99	21	)	)	PUNCT
cana-790	99	22	right	right	ADJ
cana-790	99	23	eyebrow	eyebrow	NOUN
cana-790	99	24	outer	outer	ADJ
cana-790	99	25	corner	corner	NOUN
cana-790	99	26	(	(	PUNCT
cana-790	99	27	0.278	0.278	NUM
cana-790	99	28	,	,	PUNCT
cana-790	99	29	0.773	0.773	NUM
cana-790	99	30	)	)	PUNCT
cana-790	99	31	k	k	NOUN
cana-790	99	32	(	(	PUNCT
cana-790	99	33	𝑁𝐶𝑥	𝑁𝐶𝑥	PROPN
cana-790	99	34	,	,	PUNCT
cana-790	99	35	𝑁𝐶𝑦	𝑁𝐶𝑦	PROPN
cana-790	99	36	)	)	PUNCT
cana-790	99	37	nose	nose	NOUN
cana-790	99	38	tip	tip	NOUN
cana-790	99	39	(	(	PUNCT
cana-790	99	40	0.979,0.409	0.979,0.409	PROPN
cana-790	99	41	)	)	PUNCT
cana-790	99	42	l	l	NOUN
cana-790	99	43	(	(	PUNCT
cana-790	99	44	𝑀𝐿𝑥	𝑀𝐿𝑥	NOUN
cana-790	99	45	,	,	PUNCT
cana-790	99	46	𝑀𝐿𝑦	𝑀𝐿𝑦	NOUN
cana-790	99	47	)	)	PUNCT
cana-790	99	48	mouth	mouth	NOUN
cana-790	99	49	left	leave	VERB
cana-790	99	50	corner	corner	NOUN
cana-790	99	51	(	(	PUNCT
cana-790	99	52	0.639	0.639	NUM
cana-790	99	53	,	,	PUNCT
cana-790	99	54	0.205	0.205	NUM
cana-790	99	55	)	)	PUNCT
cana-790	99	56	m	m	PROPN
cana-790	99	57	(	(	PUNCT
cana-790	99	58	𝑀𝑅𝑥	𝑀𝑅𝑥	X
cana-790	99	59	,	,	PUNCT
cana-790	99	60	𝑀𝑅𝑦	𝑀𝑅𝑦	ADJ
cana-790	99	61	)	)	PUNCT
cana-790	99	62	mouth	mouth	NOUN
cana-790	99	63	right	right	ADJ
cana-790	99	64	corner	corner	NOUN
cana-790	99	65	(	(	PUNCT
cana-790	99	66	0.773	0.773	NUM
cana-790	99	67	,	,	PUNCT
cana-790	99	68	0.148	0.148	NUM
cana-790	99	69	)	)	PUNCT
cana-790	99	70	n	n	CCONJ
cana-790	99	71	(	(	PUNCT
cana-790	99	72	𝑀𝑇𝑥	𝑀𝑇𝑥	NOUN
cana-790	99	73	,	,	PUNCT
cana-790	99	74	𝑀𝑇𝑦	𝑀𝑇𝑦	PROPN
cana-790	99	75	)	)	PUNCT
cana-790	99	76	mouth	mouth	NOUN
cana-790	99	77	centre	centre	PROPN
cana-790	99	78	top	top	ADJ
cana-790	99	79	lip	lip	NOUN
cana-790	99	80	(	(	PUNCT
cana-790	99	81	0.907	0.907	NUM
cana-790	99	82	,	,	PUNCT
cana-790	99	83	0.148	0.148	NUM
cana-790	99	84	)	)	PUNCT
cana-790	99	85	o	o	NOUN
cana-790	99	86	(	(	PUNCT
cana-790	99	87	𝑀𝐵𝑥	𝑀𝐵𝑥	PROPN
cana-790	99	88	,	,	PUNCT
cana-790	99	89	𝑀𝐵𝑦	𝑀𝐵𝑦	NOUN
cana-790	99	90	)	)	PUNCT
cana-790	99	91	mouth	mouth	NOUN
cana-790	99	92	centre	centre	PROPN
cana-790	99	93	bottom	bottom	ADJ
cana-790	99	94	lip	lip	NOUN
cana-790	99	95	(	(	PUNCT
cana-790	99	96	0.907	0.907	NUM
cana-790	99	97	,	,	PUNCT
cana-790	99	98	0.911	0.911	NUM
cana-790	99	99	)	)	PUNCT
cana-790	99	100	communications	communication	NOUN
cana-790	99	101	on	on	ADP
cana-790	99	102	applied	apply	VERB
cana-790	99	103	nonlinear	nonlinear	ADJ
cana-790	99	104	analysis	analysis	NOUN
cana-790	99	105	issn	issn	NOUN
cana-790	99	106	:	:	PUNCT
cana-790	99	107	1074	1074	NUM
cana-790	99	108	-	-	PUNCT
cana-790	99	109	133x	133x	NUM
cana-790	99	110	vol	vol	NOUN
cana-790	99	111	31	31	NUM
cana-790	99	112	no	no	NOUN
cana-790	99	113	.	.	PUNCT
cana-790	100	1	3s	3s	NUM
cana-790	100	2	(	(	PUNCT
cana-790	100	3	2024	2024	NUM
cana-790	100	4	)	)	PUNCT
cana-790	100	5	410	410	NUM
cana-790	100	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	100	7	figure	figure	NOUN
cana-790	100	8	1	1	NUM
cana-790	100	9	.	.	PUNCT
cana-790	100	10	location	location	NOUN
cana-790	100	11	of	of	ADP
cana-790	100	12	15	15	NUM
cana-790	100	13	facial	facial	ADJ
cana-790	100	14	feature	feature	NOUN
cana-790	100	15	points	point	NOUN
cana-790	100	16	of	of	ADP
cana-790	100	17	an	an	DET
cana-790	100	18	object	object	NOUN
cana-790	100	19	the	the	DET
cana-790	100	20	steps	step	NOUN
cana-790	100	21	involved	involve	VERB
cana-790	100	22	in	in	ADP
cana-790	100	23	the	the	DET
cana-790	100	24	detection	detection	NOUN
cana-790	100	25	of	of	ADP
cana-790	100	26	whether	whether	SCONJ
cana-790	100	27	an	an	DET
cana-790	100	28	object	object	NOUN
cana-790	100	29	𝑢𝑗	𝑢𝑗	NOUN
cana-790	100	30	is	be	AUX
cana-790	100	31	autistic	autistic	ADJ
cana-790	100	32	or	or	CCONJ
cana-790	100	33	otherwise	otherwise	ADV
cana-790	100	34	are	be	AUX
cana-790	100	35	as	as	SCONJ
cana-790	100	36	follows	follow	VERB
cana-790	100	37	.	.	PUNCT
cana-790	101	1	(	(	PUNCT
cana-790	101	2	1	1	X
cana-790	101	3	)	)	PUNCT
cana-790	101	4	compute	compute	NOUN
cana-790	101	5	𝑁𝛽(𝑢𝑗	𝑁𝛽(𝑢𝑗	NOUN
cana-790	101	6	)	)	PUNCT
cana-790	101	7	and	and	CCONJ
cana-790	101	8	�	�	PROPN
cana-790	101	9	̃	̃	PROPN
cana-790	101	10	�	�	NOUN
cana-790	101	11	𝛽(𝑢𝑗	𝛽(𝑢𝑗	NOUN
cana-790	101	12	)	)	PUNCT
cana-790	101	13	(	(	PUNCT
cana-790	101	14	2	2	X
cana-790	101	15	)	)	PUNCT
cana-790	101	16	compute	compute	NOUN
cana-790	101	17	𝛽	𝛽	NOUN
cana-790	101	18	−	−	NOUN
cana-790	101	19	𝑅𝑆(𝑢𝑗	𝑅𝑆(𝑢𝑗	NOUN
cana-790	101	20	)	)	PUNCT
cana-790	102	1	=	=	SYM
cana-790	102	2	(	(	PUNCT
cana-790	102	3	�	�	PROPN
cana-790	102	4	̃	̃	NOUN
cana-790	102	5	�	�	NOUN
cana-790	102	6	𝛽(𝑢𝑗	𝛽(𝑢𝑗	NOUN
cana-790	102	7	)	)	PUNCT
cana-790	102	8	_	_	PROPN
cana-790	102	9	,	,	PUNCT
cana-790	102	10	�	�	PROPN
cana-790	102	11	̃	̃	PROPN
cana-790	102	12	�	�	NOUN
cana-790	102	13	𝛽(𝑢𝑗)−	𝛽(𝑢𝑗)−	NOUN
cana-790	102	14	)	)	PUNCT
cana-790	102	15	(	(	PUNCT
cana-790	102	16	3	3	X
cana-790	102	17	)	)	PUNCT
cana-790	102	18	if	if	SCONJ
cana-790	102	19	𝛿𝑑𝑎(𝑢𝑗	𝛿𝑑𝑎(𝑢𝑗	NOUN
cana-790	102	20	)	)	PUNCT
cana-790	102	21	≤	≤	NUM
cana-790	102	22	𝛼	𝛼	X
cana-790	102	23	,	,	PUNCT
cana-790	102	24	then	then	ADV
cana-790	102	25	𝑢𝑗	𝑢𝑗	NOUN
cana-790	102	26	and	and	CCONJ
cana-790	102	27	�	�	PROPN
cana-790	102	28	̃	̃	PROPN
cana-790	102	29	�	�	NOUN
cana-790	102	30	𝛽(𝑢𝑗	𝛽(𝑢𝑗	NOUN
cana-790	102	31	)	)	PUNCT
cana-790	102	32	_	_	PRON
cana-790	102	33	is	be	AUX
cana-790	102	34	autistic	autistic	ADJ
cana-790	102	35	.	.	PUNCT
cana-790	103	1	else	else	ADV
cana-790	103	2	𝑢𝑗	𝑢𝑗	PROPN
cana-790	103	3	and	and	CCONJ
cana-790	103	4	�	�	PROPN
cana-790	103	5	̃	̃	PROPN
cana-790	103	6	�	�	NOUN
cana-790	103	7	𝛽(𝑢𝑗	𝛽(𝑢𝑗	NOUN
cana-790	103	8	)	)	PUNCT
cana-790	103	9	_	_	PRON
cana-790	103	10	is	be	AUX
cana-790	103	11	not	not	PART
cana-790	103	12	autistic	autistic	ADJ
cana-790	103	13	.	.	PUNCT
cana-790	104	1	where	where	SCONJ
cana-790	104	2	𝛿𝑑𝑎(𝑢𝑗	𝛿𝑑𝑎(𝑢𝑗	NOUN
cana-790	104	3	)	)	PUNCT
cana-790	104	4	=	=	SYM
cana-790	104	5	𝑎𝑣𝑒𝑟𝑎𝑔𝑒(|𝜇𝑎𝑖	𝑎𝑣𝑒𝑟𝑎𝑔𝑒(|𝜇𝑎𝑖	ADJ
cana-790	104	6	(	(	PUNCT
cana-790	104	7	𝑢	𝑢	X
cana-790	104	8	)	)	PUNCT
cana-790	104	9	−	−	PROPN
cana-790	104	10	𝜇𝑠𝑡𝑑𝐴𝑢𝑡𝑎𝑖	𝜇𝑠𝑡𝑑𝐴𝑢𝑡𝑎𝑖	X
cana-790	104	11	(	(	PUNCT
cana-790	104	12	𝑢)|	𝑢)|	PROPN
cana-790	104	13	)	)	PUNCT
cana-790	104	14	represents	represent	VERB
cana-790	104	15	the	the	DET
cana-790	104	16	deviation	deviation	NOUN
cana-790	104	17	of	of	ADP
cana-790	104	18	the	the	DET
cana-790	104	19	object	object	NOUN
cana-790	104	20	from	from	ADP
cana-790	104	21	autistic	autistic	ADJ
cana-790	104	22	people	people	NOUN
cana-790	104	23	,	,	PUNCT
cana-790	104	24	𝜇𝑠𝑡𝑑𝐴𝑢𝑡𝑎𝑖	𝜇𝑠𝑡𝑑𝐴𝑢𝑡𝑎𝑖	X
cana-790	104	25	(	(	PUNCT
cana-790	104	26	𝑢	𝑢	X
cana-790	104	27	)	)	PUNCT
cana-790	104	28	is	be	AUX
cana-790	104	29	the	the	DET
cana-790	104	30	mean	mean	NOUN
cana-790	104	31	of	of	ADP
cana-790	104	32	𝜇𝑎𝑖	𝜇𝑎𝑖	PROPN
cana-790	104	33	(	(	PUNCT
cana-790	104	34	𝑢	𝑢	NOUN
cana-790	104	35	)	)	PUNCT
cana-790	104	36	of	of	ADP
cana-790	104	37	the	the	DET
cana-790	104	38	autistic	autistic	ADJ
cana-790	104	39	people	people	NOUN
cana-790	104	40	.	.	PUNCT
cana-790	105	1	here	here	ADV
cana-790	105	2	,	,	PUNCT
cana-790	105	3	𝛼	𝛼	NOUN
cana-790	105	4	=	=	SYM
cana-790	105	5	0.1	0.1	NUM
cana-790	105	6	following	follow	VERB
cana-790	105	7	thorough	thorough	ADJ
cana-790	105	8	experimentation	experimentation	NOUN
cana-790	105	9	and	and	CCONJ
cana-790	105	10	expert	expert	NOUN
cana-790	105	11	insights	insight	NOUN
cana-790	105	12	.	.	PUNCT
cana-790	106	1	by	by	ADP
cana-790	106	2	comparing	compare	VERB
cana-790	106	3	𝛿𝑑𝑎(𝑢𝑗	𝛿𝑑𝑎(𝑢𝑗	NOUN
cana-790	106	4	)	)	PUNCT
cana-790	106	5	with	with	ADP
cana-790	106	6	the	the	DET
cana-790	106	7	threshold	threshold	NOUN
cana-790	106	8	of	of	ADP
cana-790	106	9	α	α	PRON
cana-790	106	10	,	,	PUNCT
cana-790	106	11	the	the	DET
cana-790	106	12	system	system	NOUN
cana-790	106	13	detects	detect	VERB
cana-790	106	14	whether	whether	SCONJ
cana-790	106	15	the	the	DET
cana-790	106	16	object	object	NOUN
cana-790	106	17	𝑢𝑗	𝑢𝑗	NOUN
cana-790	106	18	is	be	AUX
cana-790	106	19	autistic	autistic	ADJ
cana-790	106	20	or	or	CCONJ
cana-790	106	21	otherwise	otherwise	ADV
cana-790	106	22	.	.	PUNCT
cana-790	107	1	if	if	SCONJ
cana-790	107	2	the	the	DET
cana-790	107	3	object	object	NOUN
cana-790	107	4	𝑢𝑗	𝑢𝑗	NOUN
cana-790	107	5	is	be	AUX
cana-790	107	6	autistic	autistic	ADJ
cana-790	107	7	,	,	PUNCT
cana-790	107	8	then	then	ADV
cana-790	107	9	the	the	DET
cana-790	107	10	objects	object	NOUN
cana-790	107	11	in	in	ADP
cana-790	107	12	the	the	DET
cana-790	107	13	lower	low	ADJ
cana-790	107	14	approximation	approximation	NOUN
cana-790	107	15	space	space	NOUN
cana-790	107	16	of	of	ADP
cana-790	107	17	𝑢𝑗	𝑢𝑗	X
cana-790	107	18	(	(	PUNCT
cana-790	107	19	�	�	PROPN
cana-790	107	20	̃	̃	NOUN
cana-790	107	21	�	�	NOUN
cana-790	107	22	𝛽(𝑢𝑗	𝛽(𝑢𝑗	NOUN
cana-790	107	23	)	)	PUNCT
cana-790	107	24	_	_	PRON
cana-790	107	25	)	)	PUNCT
cana-790	107	26	are	be	AUX
cana-790	107	27	also	also	ADV
cana-790	107	28	autistic	autistic	ADJ
cana-790	107	29	since	since	SCONJ
cana-790	107	30	they	they	PRON
cana-790	107	31	are	be	AUX
cana-790	107	32	in	in	ADP
cana-790	107	33	the	the	DET
cana-790	107	34	closest	close	ADJ
cana-790	107	35	neighborhood	neighborhood	NOUN
cana-790	107	36	of	of	ADP
cana-790	107	37	𝑢𝑗	𝑢𝑗	NOUN
cana-790	107	38	.	.	PUNCT
cana-790	108	1	the	the	DET
cana-790	108	2	upper	upper	ADJ
cana-790	108	3	approximation	approximation	NOUN
cana-790	108	4	space	space	NOUN
cana-790	108	5	of	of	ADP
cana-790	108	6	the	the	DET
cana-790	108	7	object	object	NOUN
cana-790	108	8	𝑢𝑗	𝑢𝑗	NOUN
cana-790	108	9	represent	represent	VERB
cana-790	108	10	the	the	DET
cana-790	108	11	objects	object	NOUN
cana-790	108	12	that	that	PRON
cana-790	108	13	might	might	AUX
cana-790	108	14	possibly	possibly	ADV
cana-790	108	15	be	be	AUX
cana-790	108	16	present	present	ADJ
cana-790	108	17	in	in	ADP
cana-790	108	18	the	the	DET
cana-790	108	19	closest	close	ADJ
cana-790	108	20	neighborhood	neighborhood	NOUN
cana-790	108	21	of	of	ADP
cana-790	108	22	𝑢𝑗	𝑢𝑗	NOUN
cana-790	108	23	.	.	PUNCT
cana-790	109	1	hence	hence	ADV
cana-790	109	2	,	,	PUNCT
cana-790	109	3	the	the	DET
cana-790	109	4	level	level	NOUN
cana-790	109	5	of	of	ADP
cana-790	109	6	autism	autism	NOUN
cana-790	109	7	might	might	AUX
cana-790	109	8	vary	vary	VERB
cana-790	109	9	.	.	PUNCT
cana-790	110	1	let	let	VERB
cana-790	110	2	us	we	PRON
cana-790	110	3	check	check	VERB
cana-790	110	4	whether	whether	SCONJ
cana-790	110	5	an	an	DET
cana-790	110	6	object	object	NOUN
cana-790	110	7	𝑢20	𝑢20	NOUN
cana-790	110	8	∈	∈	PROPN
cana-790	110	9	𝑈	𝑈	PROPN
cana-790	110	10	is	be	AUX
cana-790	110	11	autistic	autistic	ADJ
cana-790	110	12	or	or	CCONJ
cana-790	110	13	otherwise	otherwise	ADV
cana-790	110	14	.	.	PUNCT
cana-790	111	1	for	for	ADP
cana-790	111	2	𝛽	𝛽	NOUN
cana-790	111	3	=	=	SYM
cana-790	111	4	0.4	0.4	NUM
cana-790	111	5	,	,	PUNCT
cana-790	111	6	the	the	DET
cana-790	111	7	corresponding	corresponding	ADJ
cana-790	111	8	𝛽reduct	𝛽reduct	NOUN
cana-790	111	9	and	and	CCONJ
cana-790	111	10	fuzzy	fuzzy	ADJ
cana-790	111	11	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	111	12	are	be	AUX
cana-790	111	13	given	give	VERB
cana-790	111	14	in	in	ADP
cana-790	111	15	table	table	NOUN
cana-790	111	16	5	5	NUM
cana-790	111	17	and	and	CCONJ
cana-790	111	18	the	the	DET
cana-790	111	19	fuzzy	fuzzy	ADJ
cana-790	111	20	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	111	21	based	base	VERB
cana-790	111	22	rough	rough	ADJ
cana-790	111	23	set	set	NOUN
cana-790	111	24	of	of	ADP
cana-790	111	25	𝑢20	𝑢20	NOUN
cana-790	111	26	is	be	AUX
cana-790	111	27	given	give	VERB
cana-790	111	28	in	in	ADP
cana-790	111	29	table	table	NOUN
cana-790	111	30	6	6	NUM
cana-790	111	31	respectively	respectively	ADV
cana-790	111	32	.	.	PUNCT
cana-790	112	1	the	the	DET
cana-790	112	2	deviation	deviation	NOUN
cana-790	112	3	of	of	ADP
cana-790	112	4	the	the	DET
cana-790	112	5	object	object	NOUN
cana-790	112	6	𝑢20	𝑢20	NOUN
cana-790	112	7	and	and	CCONJ
cana-790	112	8	some	some	PRON
cana-790	112	9	of	of	ADP
cana-790	112	10	its	its	PRON
cana-790	112	11	neighbors	neighbor	NOUN
cana-790	112	12	in	in	ADP
cana-790	112	13	the	the	DET
cana-790	112	14	lower	low	ADJ
cana-790	112	15	approximation	approximation	NOUN
cana-790	112	16	space	space	NOUN
cana-790	112	17	from	from	ADP
cana-790	112	18	the	the	DET
cana-790	112	19	standard	standard	ADJ
cana-790	112	20	autistic	autistic	ADJ
cana-790	112	21	object	object	NOUN
cana-790	112	22	is	be	AUX
cana-790	112	23	given	give	VERB
cana-790	112	24	in	in	ADP
cana-790	112	25	table	table	NOUN
cana-790	112	26	7	7	NUM
cana-790	112	27	.	.	PUNCT
cana-790	112	28	table	table	NOUN
cana-790	112	29	5	5	NUM
cana-790	112	30	:	:	PUNCT
cana-790	112	31	𝑁0.4(𝑢20	𝑁0.4(𝑢20	X
cana-790	112	32	)	)	PUNCT
cana-790	112	33	𝑎𝑛𝑑	𝑎𝑛𝑑	ADJ
cana-790	112	34	�	�	PROPN
cana-790	112	35	̃	̃	PROPN
cana-790	112	36	�	�	NOUN
cana-790	112	37	0.4(𝑢20	0.4(𝑢20	NUM
cana-790	112	38	)	)	PUNCT
cana-790	113	1	𝑈	𝑈	PROPN
cana-790	113	2	𝑵𝟎.4(𝒖𝟐𝟎	𝑵𝟎.4(𝒖𝟐𝟎	NOUN
cana-790	113	3	)	)	PUNCT
cana-790	113	4	�	�	PROPN
cana-790	113	5	̃	̃	PROPN
cana-790	113	6	�	�	NOUN
cana-790	113	7	𝟎.4(𝒖𝟐𝟎	𝟎.4(𝒖𝟐𝟎	NOUN
cana-790	113	8	)	)	PUNCT
cana-790	113	9	𝑢20	𝑢20	NOUN
cana-790	114	1	[	[	X
cana-790	114	2	𝑎1	𝑎1	X
cana-790	114	3	,	,	PUNCT
cana-790	114	4	𝑎2	𝑎2	PROPN
cana-790	114	5	,	,	PUNCT
cana-790	114	6	𝑎3	𝑎3	PROPN
cana-790	114	7	,	,	PUNCT
cana-790	114	8	𝑎4	𝑎4	PROPN
cana-790	114	9	,	,	PUNCT
cana-790	114	10	𝑎5	𝑎5	PROPN
cana-790	114	11	,	,	PUNCT
cana-790	114	12	𝑎6	𝑎6	NOUN
cana-790	114	13	,	,	PUNCT
cana-790	114	14	𝑎7	𝑎7	NOUN
cana-790	114	15	,	,	PUNCT
cana-790	114	16	𝑎8	𝑎8	ADJ
cana-790	114	17	,	,	PUNCT
cana-790	114	18	𝑎9	𝑎9	ADJ
cana-790	114	19	,	,	PUNCT
cana-790	114	20	𝑎10	𝑎10	NOUN
cana-790	114	21	,	,	PUNCT
cana-790	114	22	𝑎11	𝑎11	PROPN
cana-790	114	23	,	,	PUNCT
cana-790	114	24	𝑎12	𝑎12	NOUN
cana-790	114	25	,	,	PUNCT
cana-790	114	26	𝑎13	𝑎13	NOUN
cana-790	114	27	,	,	PUNCT
cana-790	114	28	𝑎14	𝑎14	NOUN
cana-790	114	29	]	]	PUNCT
cana-790	115	1	[	[	X
cana-790	115	2	𝑢20	𝑢20	ADJ
cana-790	115	3	,	,	PUNCT
cana-790	115	4	𝑢21	𝑢21	VERB
cana-790	115	5	,	,	PUNCT
cana-790	115	6	𝑢73	𝑢73	NOUN
cana-790	115	7	,	,	PUNCT
cana-790	115	8	𝑢76	𝑢76	NOUN
cana-790	115	9	,	,	PUNCT
cana-790	115	10	𝑢77	𝑢77	NOUN
cana-790	115	11	,	,	PUNCT
cana-790	115	12	𝑢85	𝑢85	NOUN
cana-790	115	13	,	,	PUNCT
cana-790	115	14	𝑢86	𝑢86	NOUN
cana-790	115	15	,	,	PUNCT
cana-790	115	16	𝑢89	𝑢89	NOUN
cana-790	115	17	,	,	PUNCT
cana-790	115	18	𝑢94	𝑢94	PROPN
cana-790	115	19	,	,	PUNCT
cana-790	115	20	𝑢96	𝑢96	PROPN
cana-790	115	21	,	,	PUNCT
cana-790	115	22	𝑢99,𝑢188	𝑢99,𝑢188	NOUN
cana-790	115	23	]	]	PUNCT
cana-790	115	24	communications	communication	NOUN
cana-790	115	25	on	on	ADP
cana-790	115	26	applied	apply	VERB
cana-790	115	27	nonlinear	nonlinear	ADJ
cana-790	115	28	analysis	analysis	NOUN
cana-790	115	29	issn	issn	NOUN
cana-790	115	30	:	:	PUNCT
cana-790	115	31	1074	1074	NUM
cana-790	115	32	-	-	PUNCT
cana-790	115	33	133x	133x	NUM
cana-790	115	34	vol	vol	NOUN
cana-790	115	35	31	31	NUM
cana-790	115	36	no	no	NOUN
cana-790	115	37	.	.	PUNCT
cana-790	116	1	3s	3s	NUM
cana-790	116	2	(	(	PUNCT
cana-790	116	3	2024	2024	NUM
cana-790	116	4	)	)	PUNCT
cana-790	116	5	411	411	NUM
cana-790	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	116	7	table	table	NOUN
cana-790	116	8	6	6	NUM
cana-790	116	9	:	:	SYM
cana-790	116	10	0.4	0.4	NUM
cana-790	116	11	−	−	PROPN
cana-790	116	12	𝑅𝑆(𝑢20	𝑅𝑆(𝑢20	PROPN
cana-790	116	13	)	)	PUNCT
cana-790	116	14	=	=	PRON
cana-790	116	15	(	(	PUNCT
cana-790	116	16	�	�	PROPN
cana-790	116	17	̃	̃	NOUN
cana-790	116	18	�	�	NOUN
cana-790	116	19	0.4(𝑢20	0.4(𝑢20	NUM
cana-790	116	20	)	)	PUNCT
cana-790	117	1	_	_	NOUN
cana-790	117	2	,	,	PUNCT
cana-790	117	3	�	�	PROPN
cana-790	117	4	̃	̃	PROPN
cana-790	117	5	�	�	NOUN
cana-790	117	6	0.4(𝑢20)−	0.4(𝑢20)−	NOUN
cana-790	117	7	)	)	PUNCT
cana-790	117	8	𝑈	𝑈	PROPN
cana-790	117	9	�	�	PROPN
cana-790	117	10	̃	̃	PROPN
cana-790	117	11	�	�	NOUN
cana-790	117	12	𝟎.𝟒(𝒖𝟐𝟎	𝟎.𝟒(𝒖𝟐𝟎	NUM
cana-790	117	13	)	)	PUNCT
cana-790	117	14	_	_	PUNCT
cana-790	117	15	�	�	PROPN
cana-790	117	16	̃	̃	NOUN
cana-790	117	17	�	�	NOUN
cana-790	117	18	𝟎.𝟒(𝒖𝟐𝟎)−	𝟎.𝟒(𝒖𝟐𝟎)−	NOUN
cana-790	117	19	𝑢20	𝑢20	NOUN
cana-790	118	1	[	[	X
cana-790	118	2	𝑢20	𝑢20	ADJ
cana-790	118	3	,	,	PUNCT
cana-790	118	4	𝑢73	𝑢73	NOUN
cana-790	118	5	,	,	PUNCT
cana-790	118	6	𝑢76	𝑢76	NOUN
cana-790	118	7	,	,	PUNCT
cana-790	118	8	𝑢77	𝑢77	NOUN
cana-790	118	9	,	,	PUNCT
cana-790	118	10	𝑢85	𝑢85	NOUN
cana-790	118	11	,	,	PUNCT
cana-790	118	12	𝑢86	𝑢86	NOUN
cana-790	118	13	,	,	PUNCT
cana-790	118	14	𝑢94	𝑢94	NOUN
cana-790	118	15	,	,	PUNCT
cana-790	118	16	𝑢188	𝑢188	PROPN
cana-790	118	17	]	]	PUNCT
cana-790	119	1	[	[	X
cana-790	119	2	𝑢2	𝑢2	PROPN
cana-790	119	3	,	,	PUNCT
cana-790	119	4	𝑢4	𝑢4	NOUN
cana-790	119	5	,	,	PUNCT
cana-790	119	6	𝑢6	𝑢6	ADJ
cana-790	119	7	,	,	PUNCT
cana-790	119	8	𝑢8	𝑢8	NOUN
cana-790	119	9	,	,	PUNCT
cana-790	119	10	𝑢10	𝑢10	NOUN
cana-790	119	11	,	,	PUNCT
cana-790	119	12	𝑢12	𝑢12	NUM
cana-790	119	13	,	,	PUNCT
cana-790	119	14	𝑢18	𝑢18	NOUN
cana-790	119	15	,	,	PUNCT
cana-790	119	16	𝑢20	𝑢20	NOUN
cana-790	119	17	,	,	PUNCT
cana-790	119	18	𝑢21	𝑢21	ADJ
cana-790	119	19	,	,	PUNCT
cana-790	119	20	𝑢76	𝑢76	NOUN
cana-790	119	21	,	,	PUNCT
cana-790	119	22	𝑢77	𝑢77	NOUN
cana-790	119	23	,	,	PUNCT
cana-790	119	24	𝑢82	𝑢82	NOUN
cana-790	119	25	,	,	PUNCT
cana-790	119	26	𝑢83	𝑢83	ADJ
cana-790	119	27	,	,	PUNCT
cana-790	119	28	𝑢85	𝑢85	ADJ
cana-790	119	29	,	,	PUNCT
cana-790	119	30	𝑢86	𝑢86	NOUN
cana-790	119	31	,	,	PUNCT
cana-790	119	32	𝑢89	𝑢89	NOUN
cana-790	119	33	,	,	PUNCT
cana-790	119	34	𝑢99,𝑢94	𝑢99,𝑢94	NOUN
cana-790	119	35	,	,	PUNCT
cana-790	119	36	𝑢96𝑢188	𝑢96𝑢188	PROPN
cana-790	119	37	]	]	PUNCT
cana-790	119	38	table	table	NOUN
cana-790	119	39	6	6	NUM
cana-790	119	40	:	:	SYM
cana-790	119	41	0.4	0.4	NUM
cana-790	119	42	−	−	PROPN
cana-790	119	43	𝑅𝑆(𝑢20	𝑅𝑆(𝑢20	PROPN
cana-790	119	44	)	)	PUNCT
cana-790	119	45	=	=	PRON
cana-790	119	46	(	(	PUNCT
cana-790	119	47	�	�	PROPN
cana-790	119	48	̃	̃	NOUN
cana-790	119	49	�	�	NOUN
cana-790	119	50	0.4(𝑢20	0.4(𝑢20	NUM
cana-790	119	51	)	)	PUNCT
cana-790	120	1	_	_	NOUN
cana-790	120	2	,	,	PUNCT
cana-790	120	3	�	�	PROPN
cana-790	120	4	̃	̃	PROPN
cana-790	120	5	�	�	NOUN
cana-790	120	6	0.4(𝑢20)−	0.4(𝑢20)−	NOUN
cana-790	120	7	)	)	PUNCT
cana-790	120	8	𝑼	𝑼	NOUN
cana-790	120	9	𝜹𝒅𝒂(𝒖𝒋	𝜹𝒅𝒂(𝒖𝒋	NOUN
cana-790	120	10	)	)	PUNCT
cana-790	120	11	𝑢20	𝑢20	NOUN
cana-790	120	12	0.0891	0.0891	NUM
cana-790	120	13	𝑢85	𝑢85	ADJ
cana-790	120	14	0.0862	0.0862	NUM
cana-790	120	15	𝑢77	𝑢77	NOUN
cana-790	120	16	0.0951	0.0951	NUM
cana-790	120	17	𝑢86	𝑢86	NOUN
cana-790	120	18	0.0590	0.0590	NUM
cana-790	121	1	𝑢188	𝑢188	NUM
cana-790	121	2	0.0575	0.0575	NUM
cana-790	121	3	it	it	PRON
cana-790	121	4	can	can	AUX
cana-790	121	5	be	be	AUX
cana-790	121	6	inferred	infer	VERB
cana-790	121	7	from	from	ADP
cana-790	121	8	table	table	NOUN
cana-790	121	9	7	7	NUM
cana-790	121	10	that	that	SCONJ
cana-790	121	11	not	not	PART
cana-790	121	12	only	only	ADV
cana-790	121	13	𝛿𝑑𝑎(𝑢20	𝛿𝑑𝑎(𝑢20	PROPN
cana-790	121	14	)	)	PUNCT
cana-790	121	15	is	be	AUX
cana-790	121	16	less	less	ADJ
cana-790	121	17	than	than	ADP
cana-790	121	18	0.1	0.1	NUM
cana-790	121	19	but	but	CCONJ
cana-790	121	20	also	also	ADV
cana-790	121	21	the	the	DET
cana-790	121	22	deviation	deviation	NOUN
cana-790	121	23	of	of	ADP
cana-790	121	24	𝛿𝑑𝑎(u	𝛿𝑑𝑎(u	PROPN
cana-790	121	25	)	)	PUNCT
cana-790	121	26	for	for	ADP
cana-790	121	27	all	all	DET
cana-790	121	28	the	the	DET
cana-790	121	29	images	image	NOUN
cana-790	121	30	in	in	ADP
cana-790	121	31	the	the	DET
cana-790	121	32	neighborhood	neighborhood	NOUN
cana-790	121	33	of	of	ADP
cana-790	121	34	𝑢20	𝑢20	NOUN
cana-790	121	35	is	be	AUX
cana-790	121	36	less	less	ADJ
cana-790	121	37	than	than	ADP
cana-790	121	38	0.1	0.1	NUM
cana-790	121	39	.	.	PUNCT
cana-790	122	1	hence	hence	ADV
cana-790	122	2	,	,	PUNCT
cana-790	122	3	it	it	PRON
cana-790	122	4	can	can	AUX
cana-790	122	5	be	be	AUX
cana-790	122	6	said	say	VERB
cana-790	122	7	that	that	SCONJ
cana-790	122	8	all	all	DET
cana-790	122	9	the	the	DET
cana-790	122	10	images	image	NOUN
cana-790	122	11	in	in	ADP
cana-790	122	12	�	�	PROPN
cana-790	122	13	̃	̃	NOUN
cana-790	122	14	�	�	NOUN
cana-790	122	15	0.4(𝑢20	0.4(𝑢20	NUM
cana-790	122	16	)	)	PUNCT
cana-790	123	1	_	_	NOUN
cana-790	123	2	are	be	AUX
cana-790	123	3	autistic	autistic	ADJ
cana-790	123	4	.	.	PUNCT
cana-790	124	1	thus	thus	ADV
cana-790	124	2	,	,	PUNCT
cana-790	124	3	it	it	PRON
cana-790	124	4	can	can	AUX
cana-790	124	5	be	be	AUX
cana-790	124	6	observed	observe	VERB
cana-790	124	7	that	that	SCONJ
cana-790	124	8	the	the	DET
cana-790	124	9	model	model	NOUN
cana-790	124	10	has	have	AUX
cana-790	124	11	impeccably	impeccably	ADV
cana-790	124	12	captured	capture	VERB
cana-790	124	13	the	the	DET
cana-790	124	14	characteristics	characteristic	NOUN
cana-790	124	15	of	of	ADP
cana-790	124	16	the	the	DET
cana-790	124	17	chosen	choose	VERB
cana-790	124	18	object	object	NOUN
cana-790	124	19	along	along	ADP
cana-790	124	20	with	with	ADP
cana-790	124	21	its	its	PRON
cana-790	124	22	neighbors	neighbor	NOUN
cana-790	124	23	with	with	ADP
cana-790	124	24	expected	expect	VERB
cana-790	124	25	precision	precision	NOUN
cana-790	124	26	.	.	PUNCT
cana-790	125	1	for	for	ADP
cana-790	125	2	testing	testing	NOUN
cana-790	125	3	,	,	PUNCT
cana-790	125	4	we	we	PRON
cana-790	125	5	consider	consider	VERB
cana-790	125	6	two	two	NUM
cana-790	125	7	unseen	unseen	ADJ
cana-790	125	8	images	image	NOUN
cana-790	125	9	.	.	PUNCT
cana-790	126	1	on	on	ADP
cana-790	126	2	providing	provide	VERB
cana-790	126	3	these	these	DET
cana-790	126	4	inputs	input	NOUN
cana-790	126	5	,	,	PUNCT
cana-790	126	6	the	the	DET
cana-790	126	7	model	model	NOUN
cana-790	126	8	successfully	successfully	ADV
cana-790	126	9	returned	return	VERB
cana-790	126	10	its	its	PRON
cana-790	126	11	decisions	decision	NOUN
cana-790	126	12	in	in	ADP
cana-790	126	13	almost	almost	ADV
cana-790	126	14	few	few	ADJ
cana-790	126	15	seconds	second	NOUN
cana-790	126	16	,	,	PUNCT
cana-790	126	17	the	the	DET
cana-790	126	18	results	result	NOUN
cana-790	126	19	of	of	ADP
cana-790	126	20	which	which	PRON
cana-790	126	21	are	be	AUX
cana-790	126	22	given	give	VERB
cana-790	126	23	in	in	ADP
cana-790	126	24	figure	figure	NOUN
cana-790	126	25	2	2	NUM
cana-790	126	26	.	.	PUNCT
cana-790	126	27	for	for	ADP
cana-790	126	28	the	the	DET
cana-790	126	29	testobj1	testobj1	PROPN
cana-790	126	30	,	,	PUNCT
cana-790	126	31	as	as	ADP
cana-790	126	32	the	the	DET
cana-790	126	33	deviation	deviation	NOUN
cana-790	126	34	𝛿𝑑𝑎	𝛿𝑑𝑎	NOUN
cana-790	126	35	=	=	NOUN
cana-790	126	36	0.047901	0.047901	NUM
cana-790	126	37	≤	≤	NUM
cana-790	126	38	0.1	0.1	NUM
cana-790	126	39	,	,	PUNCT
cana-790	126	40	the	the	DET
cana-790	126	41	0.4	0.4	NUM
cana-790	126	42	−	−	PROPN
cana-790	126	43	𝑅𝑆	𝑅𝑆	PROPN
cana-790	126	44	model	model	NOUN
cana-790	126	45	detects	detect	VERB
cana-790	126	46	it	it	PRON
cana-790	126	47	to	to	PART
cana-790	126	48	be	be	AUX
cana-790	126	49	autistic	autistic	ADJ
cana-790	126	50	.	.	PUNCT
cana-790	127	1	and	and	CCONJ
cana-790	127	2	for	for	ADP
cana-790	127	3	the	the	DET
cana-790	127	4	testobj2	testobj2	NOUN
cana-790	127	5	,	,	PUNCT
cana-790	127	6	as	as	SCONJ
cana-790	127	7	the	the	DET
cana-790	127	8	deviation	deviation	NOUN
cana-790	127	9	𝛿𝑑𝑎	𝛿𝑑𝑎	NOUN
cana-790	127	10	=	=	SYM
cana-790	127	11	0.1930	0.1930	NUM
cana-790	127	12	≥	≥	NUM
cana-790	127	13	0.1	0.1	NUM
cana-790	127	14	,	,	PUNCT
cana-790	127	15	the	the	DET
cana-790	127	16	0.4	0.4	NUM
cana-790	127	17	−	−	PROPN
cana-790	127	18	𝑅𝑆	𝑅𝑆	PROPN
cana-790	127	19	model	model	NOUN
cana-790	127	20	detects	detect	VERB
cana-790	127	21	it	it	PRON
cana-790	127	22	to	to	PART
cana-790	127	23	be	be	AUX
cana-790	127	24	non	non	ADJ
cana-790	127	25	-	-	ADJ
cana-790	127	26	autistic	autistic	ADJ
cana-790	127	27	.	.	PUNCT
cana-790	128	1	figure	figure	NOUN
cana-790	128	2	2	2	NUM
cana-790	128	3	.	.	PUNCT
cana-790	129	1	testing	test	VERB
cana-790	129	2	communications	communication	NOUN
cana-790	129	3	on	on	ADP
cana-790	129	4	applied	apply	VERB
cana-790	129	5	nonlinear	nonlinear	ADJ
cana-790	129	6	analysis	analysis	NOUN
cana-790	129	7	issn	issn	NOUN
cana-790	129	8	:	:	PUNCT
cana-790	129	9	1074	1074	NUM
cana-790	129	10	-	-	PUNCT
cana-790	129	11	133x	133x	NUM
cana-790	129	12	vol	vol	NOUN
cana-790	129	13	31	31	NUM
cana-790	129	14	no	no	NOUN
cana-790	129	15	.	.	PUNCT
cana-790	130	1	3s	3s	NUM
cana-790	130	2	(	(	PUNCT
cana-790	130	3	2024	2024	NUM
cana-790	130	4	)	)	PUNCT
cana-790	130	5	412	412	NUM
cana-790	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	130	7	the	the	DET
cana-790	130	8	𝑅𝑆-model	𝑅𝑆-model	PROPN
cana-790	130	9	can	can	AUX
cana-790	130	10	also	also	ADV
cana-790	130	11	be	be	AUX
cana-790	130	12	used	use	VERB
cana-790	130	13	to	to	PART
cana-790	130	14	determine	determine	VERB
cana-790	130	15	the	the	DET
cana-790	130	16	levels	level	NOUN
cana-790	130	17	in	in	ADP
cana-790	130	18	autism	autism	NOUN
cana-790	130	19	exhibited	exhibit	VERB
cana-790	130	20	by	by	ADP
cana-790	130	21	individuals	individual	NOUN
cana-790	130	22	.	.	PUNCT
cana-790	131	1	diagnostic	diagnostic	ADJ
cana-790	131	2	and	and	CCONJ
cana-790	131	3	statistical	statistical	ADJ
cana-790	131	4	manual	manual	NOUN
cana-790	131	5	of	of	ADP
cana-790	131	6	mental	mental	ADJ
cana-790	131	7	disorders	disorder	NOUN
cana-790	131	8	describes	describe	VERB
cana-790	131	9	three	three	NUM
cana-790	131	10	levels	level	NOUN
cana-790	131	11	in	in	ADP
cana-790	131	12	the	the	DET
cana-790	131	13	autism	autism	NOUN
cana-790	131	14	spectrum	spectrum	NOUN
cana-790	131	15	disorder	disorder	NOUN
cana-790	131	16	.	.	PUNCT
cana-790	132	1	these	these	DET
cana-790	132	2	levels	level	NOUN
cana-790	132	3	depend	depend	VERB
cana-790	132	4	on	on	ADP
cana-790	132	5	the	the	DET
cana-790	132	6	severity	severity	NOUN
cana-790	132	7	of	of	ADP
cana-790	132	8	the	the	DET
cana-790	132	9	differences	difference	NOUN
cana-790	132	10	[	[	X
cana-790	132	11	22	22	NUM
cana-790	132	12	]	]	PUNCT
cana-790	132	13	in	in	ADP
cana-790	132	14	the	the	DET
cana-790	132	15	brain	brain	NOUN
cana-790	132	16	that	that	PRON
cana-790	132	17	an	an	DET
cana-790	132	18	individual	individual	ADJ
cana-790	132	19	exhibits	exhibit	NOUN
cana-790	132	20	and	and	CCONJ
cana-790	132	21	the	the	DET
cana-790	132	22	extent	extent	NOUN
cana-790	132	23	of	of	ADP
cana-790	132	24	support	support	NOUN
cana-790	133	1	such	such	ADJ
cana-790	133	2	individuals	individual	NOUN
cana-790	133	3	need	need	VERB
cana-790	133	4	to	to	PART
cana-790	133	5	continue	continue	VERB
cana-790	133	6	functioning	function	VERB
cana-790	133	7	without	without	ADP
cana-790	133	8	interference	interference	NOUN
cana-790	133	9	.	.	PUNCT
cana-790	134	1	level	level	NOUN
cana-790	134	2	-	-	PUNCT
cana-790	134	3	i	i	PRON
cana-790	134	4	individuals	individual	NOUN
cana-790	134	5	exhibit	exhibit	VERB
cana-790	134	6	morphological	morphological	ADJ
cana-790	134	7	features	feature	NOUN
cana-790	134	8	like	like	ADP
cana-790	134	9	neurotypical	neurotypical	ADJ
cana-790	134	10	subjects	subject	NOUN
cana-790	134	11	and	and	CCONJ
cana-790	134	12	require	require	VERB
cana-790	134	13	minimum	minimum	ADJ
cana-790	134	14	support	support	NOUN
cana-790	134	15	when	when	SCONJ
cana-790	134	16	compared	compare	VERB
cana-790	134	17	to	to	ADP
cana-790	134	18	their	their	PRON
cana-790	134	19	counterparts	counterpart	NOUN
cana-790	134	20	,	,	PUNCT
cana-790	134	21	making	make	VERB
cana-790	134	22	an	an	DET
cana-790	134	23	attempt	attempt	NOUN
cana-790	134	24	to	to	PART
cana-790	134	25	engage	engage	VERB
cana-790	134	26	in	in	ADP
cana-790	134	27	social	social	ADJ
cana-790	134	28	conventions	convention	NOUN
cana-790	134	29	and	and	CCONJ
cana-790	134	30	create	create	VERB
cana-790	134	31	friendships	friendship	NOUN
cana-790	134	32	in	in	ADP
cana-790	134	33	a	a	DET
cana-790	134	34	community	community	NOUN
cana-790	134	35	.	.	PUNCT
cana-790	135	1	level	level	NOUN
cana-790	135	2	ii	ii	PROPN
cana-790	135	3	autistic	autistic	ADJ
cana-790	135	4	subjects	subject	NOUN
cana-790	135	5	require	require	VERB
cana-790	135	6	more	more	ADJ
cana-790	135	7	support	support	NOUN
cana-790	135	8	than	than	ADP
cana-790	135	9	their	their	PRON
cana-790	135	10	level	level	NOUN
cana-790	135	11	-	-	PUNCT
cana-790	135	12	i	i	PRON
cana-790	135	13	counterparts	counterpart	NOUN
cana-790	135	14	,	,	PUNCT
cana-790	135	15	but	but	CCONJ
cana-790	135	16	lesser	less	ADJ
cana-790	135	17	than	than	ADP
cana-790	135	18	the	the	DET
cana-790	135	19	level	level	NOUN
cana-790	135	20	-	-	PUNCT
cana-790	135	21	iii	iii	NUM
cana-790	135	22	subjects	subject	NOUN
cana-790	135	23	.	.	PUNCT
cana-790	136	1	they	they	PRON
cana-790	136	2	exhibit	exhibit	VERB
cana-790	136	3	an	an	DET
cana-790	136	4	elevated	elevated	ADJ
cana-790	136	5	amount	amount	NOUN
cana-790	136	6	of	of	ADP
cana-790	136	7	distress	distress	NOUN
cana-790	136	8	when	when	SCONJ
cana-790	136	9	confronted	confront	VERB
cana-790	136	10	with	with	ADP
cana-790	136	11	change	change	NOUN
cana-790	136	12	,	,	PUNCT
cana-790	136	13	even	even	ADV
cana-790	136	14	more	more	ADV
cana-790	136	15	than	than	ADP
cana-790	136	16	level	level	NOUN
cana-790	136	17	-	-	PUNCT
cana-790	136	18	i	i	PRON
cana-790	136	19	individuals	individual	NOUN
cana-790	136	20	.	.	PUNCT
cana-790	137	1	level	level	NOUN
cana-790	137	2	iii	iii	NUM
cana-790	137	3	individuals	individual	NOUN
cana-790	137	4	have	have	VERB
cana-790	137	5	to	to	PART
cana-790	137	6	rely	rely	VERB
cana-790	137	7	extensively	extensively	ADV
cana-790	137	8	on	on	ADP
cana-790	137	9	external	external	ADJ
cana-790	137	10	support	support	NOUN
cana-790	137	11	to	to	PART
cana-790	137	12	manage	manage	VERB
cana-790	137	13	their	their	PRON
cana-790	137	14	activities	activity	NOUN
cana-790	137	15	,	,	PUNCT
cana-790	137	16	and	and	CCONJ
cana-790	137	17	it	it	PRON
cana-790	137	18	is	be	AUX
cana-790	137	19	in	in	ADP
cana-790	137	20	the	the	DET
cana-790	137	21	second	second	ADJ
cana-790	137	22	and	and	CCONJ
cana-790	137	23	third	third	ADJ
cana-790	137	24	levels	level	NOUN
cana-790	137	25	,	,	PUNCT
cana-790	137	26	the	the	DET
cana-790	137	27	attributes	attribute	NOUN
cana-790	137	28	become	become	VERB
cana-790	137	29	more	more	ADV
cana-790	137	30	prevalent	prevalent	ADJ
cana-790	137	31	.	.	PUNCT
cana-790	138	1	however	however	ADV
cana-790	138	2	,	,	PUNCT
cana-790	138	3	a	a	DET
cana-790	138	4	timely	timely	ADJ
cana-790	138	5	diagnosis	diagnosis	NOUN
cana-790	138	6	of	of	ADP
cana-790	138	7	the	the	DET
cana-790	138	8	severity	severity	NOUN
cana-790	138	9	of	of	ADP
cana-790	138	10	the	the	DET
cana-790	138	11	disorder	disorder	NOUN
cana-790	139	1	[	[	X
cana-790	139	2	[	[	X
cana-790	139	3	16	16	NUM
cana-790	139	4	]	]	PUNCT
cana-790	139	5	,	,	PUNCT
cana-790	140	1	[	[	X
cana-790	140	2	9	9	NUM
cana-790	140	3	]	]	X
cana-790	140	4	]	]	PUNCT
cana-790	140	5	in	in	ADP
cana-790	140	6	an	an	DET
cana-790	140	7	individual	individual	NOUN
cana-790	140	8	can	can	AUX
cana-790	140	9	help	help	VERB
cana-790	140	10	bring	bring	VERB
cana-790	140	11	about	about	ADP
cana-790	140	12	a	a	DET
cana-790	140	13	change	change	NOUN
cana-790	140	14	in	in	ADP
cana-790	140	15	their	their	PRON
cana-790	140	16	functionalities	functionality	NOUN
cana-790	140	17	,	,	PUNCT
cana-790	140	18	calling	call	VERB
cana-790	140	19	for	for	ADP
cana-790	140	20	personalized	personalized	ADJ
cana-790	140	21	help	help	NOUN
cana-790	140	22	finding	find	VERB
cana-790	140	23	its	its	PRON
cana-790	140	24	way	way	NOUN
cana-790	140	25	to	to	ADP
cana-790	140	26	such	such	ADJ
cana-790	140	27	individuals	individual	NOUN
cana-790	140	28	.	.	PUNCT
cana-790	141	1	to	to	PART
cana-790	141	2	classify	classify	VERB
cana-790	141	3	autistic	autistic	ADJ
cana-790	141	4	individuals	individual	NOUN
cana-790	141	5	according	accord	VERB
cana-790	141	6	to	to	ADP
cana-790	141	7	the	the	DET
cana-790	141	8	severity	severity	NOUN
cana-790	141	9	levels	level	NOUN
cana-790	141	10	,	,	PUNCT
cana-790	141	11	the	the	DET
cana-790	141	12	deviation	deviation	NOUN
cana-790	141	13	𝛿𝑑𝑛(𝑢𝑗	𝛿𝑑𝑛(𝑢𝑗	NOUN
cana-790	141	14	)	)	PUNCT
cana-790	142	1	=	=	SYM
cana-790	142	2	𝑎𝑣𝑒𝑟𝑎𝑔𝑒(|𝜇𝑎𝑖	𝑎𝑣𝑒𝑟𝑎𝑔𝑒(|𝜇𝑎𝑖	ADJ
cana-790	142	3	(	(	PUNCT
cana-790	142	4	𝑢	𝑢	X
cana-790	142	5	)	)	PUNCT
cana-790	142	6	−	−	PROPN
cana-790	142	7	𝜇𝑠𝑡𝑑𝑎𝑖	𝜇𝑠𝑡𝑑𝑎𝑖	NOUN
cana-790	142	8	(	(	PUNCT
cana-790	142	9	𝑢)|	𝑢)|	PROPN
cana-790	142	10	)	)	PUNCT
cana-790	142	11	of	of	ADP
cana-790	142	12	the	the	DET
cana-790	142	13	chosen	choose	VERB
cana-790	142	14	object	object	NOUN
cana-790	142	15	𝑢𝑗	𝑢𝑗	NOUN
cana-790	142	16	from	from	ADP
cana-790	142	17	neurotypical	neurotypical	ADJ
cana-790	142	18	individuals	individual	NOUN
cana-790	142	19	is	be	AUX
cana-790	142	20	considered	consider	VERB
cana-790	142	21	.	.	PUNCT
cana-790	143	1	given	give	VERB
cana-790	143	2	an	an	DET
cana-790	143	3	image	image	NOUN
cana-790	143	4	𝑢𝑗	𝑢𝑗	NOUN
cana-790	143	5	,	,	PUNCT
cana-790	143	6	the	the	DET
cana-790	143	7	𝛽	𝛽	PROPN
cana-790	143	8	−rs	−r	VERB
cana-790	143	9	model	model	NOUN
cana-790	143	10	first	first	ADJ
cana-790	143	11	detects	detect	NOUN
cana-790	143	12	whether	whether	SCONJ
cana-790	143	13	it	it	PRON
cana-790	143	14	is	be	AUX
cana-790	143	15	autistic	autistic	ADJ
cana-790	143	16	or	or	CCONJ
cana-790	143	17	otherwise	otherwise	ADV
cana-790	143	18	and	and	CCONJ
cana-790	143	19	also	also	ADV
cana-790	143	20	finds	find	VERB
cana-790	143	21	its	its	PRON
cana-790	143	22	lower	low	ADJ
cana-790	143	23	approximation	approximation	NOUN
cana-790	143	24	space	space	NOUN
cana-790	143	25	.	.	PUNCT
cana-790	144	1	then	then	ADV
cana-790	144	2	for	for	ADP
cana-790	144	3	every	every	DET
cana-790	144	4	element	element	NOUN
cana-790	144	5	in	in	ADP
cana-790	144	6	�	�	PROPN
cana-790	144	7	̃	̃	PROPN
cana-790	144	8	�	�	NOUN
cana-790	144	9	𝛽(𝑢𝑗	𝛽(𝑢𝑗	NOUN
cana-790	144	10	)	)	PUNCT
cana-790	144	11	_	_	NOUN
cana-790	144	12	,	,	PUNCT
cana-790	144	13	their	their	PRON
cana-790	144	14	deviation	deviation	NOUN
cana-790	144	15	𝛿𝑑𝑛(𝑢𝑗	𝛿𝑑𝑛(𝑢𝑗	NOUN
cana-790	144	16	)	)	PUNCT
cana-790	144	17	is	be	AUX
cana-790	144	18	calculated	calculate	VERB
cana-790	144	19	.	.	PUNCT
cana-790	145	1	and	and	CCONJ
cana-790	145	2	according	accord	VERB
cana-790	145	3	to	to	ADP
cana-790	145	4	their	their	PRON
cana-790	145	5	deviation	deviation	NOUN
cana-790	145	6	values	value	VERB
cana-790	145	7	the	the	DET
cana-790	145	8	level	level	NOUN
cana-790	145	9	of	of	ADP
cana-790	145	10	autism	autism	NOUN
cana-790	145	11	of	of	ADP
cana-790	145	12	the	the	DET
cana-790	145	13	object	object	NOUN
cana-790	145	14	uj	uj	NOUN
cana-790	145	15	is	be	AUX
cana-790	145	16	determined	determine	VERB
cana-790	145	17	.	.	PUNCT
cana-790	146	1	the	the	DET
cana-790	146	2	decision	decision	NOUN
cana-790	146	3	taken	take	VERB
cana-790	146	4	according	accord	VERB
cana-790	146	5	to	to	ADP
cana-790	146	6	values	value	NOUN
cana-790	146	7	of	of	ADP
cana-790	146	8	𝛿𝑑𝑛(𝑢𝑗	𝛿𝑑𝑛(𝑢𝑗	NOUN
cana-790	146	9	)	)	PUNCT
cana-790	146	10	is	be	AUX
cana-790	146	11	given	give	VERB
cana-790	146	12	in	in	ADP
cana-790	146	13	the	the	DET
cana-790	146	14	pseudocode	pseudocode	NOUN
cana-790	146	15	as	as	SCONJ
cana-790	146	16	follows	follow	VERB
cana-790	146	17	.	.	PUNCT
cana-790	147	1	def	def	ADJ
cana-790	147	2	findlevels	findlevel	NOUN
cana-790	147	3	(	(	PUNCT
cana-790	147	4	img	img	NOUN
cana-790	147	5	):	):	PUNCT
cana-790	147	6	𝛿𝑑𝑛(𝑢𝑗	𝛿𝑑𝑛(𝑢𝑗	NOUN
cana-790	147	7	)	)	PUNCT
cana-790	148	1	=	=	SYM
cana-790	148	2	average	average	ADJ
cana-790	148	3	(	(	PUNCT
cana-790	148	4	|𝜇𝑎𝑖(𝑢𝑗	|𝜇𝑎𝑖(𝑢𝑗	NOUN
cana-790	148	5	)	)	PUNCT
cana-790	148	6	−	−	PROPN
cana-790	148	7	𝜇𝑠𝑡𝑑𝐴(𝑢𝑗)|	𝜇𝑠𝑡𝑑𝐴(𝑢𝑗)|	PROPN
cana-790	148	8	)	)	PUNCT
cana-790	148	9	counta	counta	NOUN
cana-790	148	10	,	,	PUNCT
cana-790	148	11	countna=0	countna=0	VERB
cana-790	148	12	for	for	ADP
cana-790	148	13	i=1	i=1	X
cana-790	148	14	:	:	PUNCT
cana-790	148	15	size(la	size(la	ADV
cana-790	148	16	):	):	PUNCT
cana-790	148	17	if	if	SCONJ
cana-790	148	18	𝛿𝑑𝑎	𝛿𝑑𝑎	NOUN
cana-790	148	19	for	for	ADP
cana-790	148	20	la(i)>=0.1	la(i)>=0.1	ADJ
cana-790	148	21	:	:	PUNCT
cana-790	148	22	countna+=1	countna+=1	PROPN
cana-790	148	23	else	else	ADV
cana-790	148	24	:	:	PUNCT
cana-790	148	25	counta+=1	counta+=1	NOUN
cana-790	148	26	end	end	NOUN
cana-790	148	27	if	if	SCONJ
cana-790	148	28	𝛿𝑑𝑎	𝛿𝑑𝑎	NOUN
cana-790	148	29	<	<	X
cana-790	148	30	=	=	PROPN
cana-790	148	31	0.1	0.1	NUM
cana-790	148	32	&	&	CCONJ
cana-790	148	33	round(𝛿𝑑𝑎	round(𝛿𝑑𝑎	NOUN
cana-790	148	34	)	)	PUNCT
cana-790	148	35	=	=	SYM
cana-790	148	36	0	0	PROPN
cana-790	148	37	&	&	CCONJ
cana-790	148	38	countna	countna	PROPN
cana-790	148	39	>	>	PUNCT
cana-790	148	40	count	count	VERB
cana-790	148	41	a	a	DET
cana-790	148	42	:	:	PUNCT
cana-790	148	43	decision	decision	NOUN
cana-790	148	44	=	=	NOUN
cana-790	148	45	level	level	NOUN
cana-790	149	1	i	i	PRON
cana-790	149	2	elseif	elseif	VERB
cana-790	149	3	𝛿𝑑𝑎	𝛿𝑑𝑎	NOUN
cana-790	149	4	<	<	X
cana-790	149	5	=	=	PROPN
cana-790	149	6	0.1	0.1	NUM
cana-790	149	7	&	&	CCONJ
cana-790	149	8	𝛿𝑑𝑛	𝛿𝑑𝑛	PROPN
cana-790	149	9	∈	∈	PROPN
cana-790	149	10	(	(	PUNCT
cana-790	149	11	0	0	NUM
cana-790	149	12	,	,	PUNCT
cana-790	149	13	0.4	0.4	NUM
cana-790	149	14	]	]	PUNCT
cana-790	149	15	&	&	CCONJ
cana-790	149	16	countna	countna	PROPN
cana-790	149	17	<	<	X
cana-790	149	18	counta	counta	NOUN
cana-790	149	19	:	:	PUNCT
cana-790	149	20	decision	decision	NOUN
cana-790	149	21	=	=	SYM
cana-790	149	22	level	level	NOUN
cana-790	149	23	ii	ii	PROPN
cana-790	149	24	elseif	elseif	NOUN
cana-790	149	25	𝛿𝑑𝑎	𝛿𝑑𝑎	NOUN
cana-790	149	26	<	<	X
cana-790	149	27	=	=	PROPN
cana-790	149	28	0.1	0.1	NUM
cana-790	149	29	&	&	CCONJ
cana-790	149	30	𝛿𝑑𝑛	𝛿𝑑𝑛	X
cana-790	149	31	>	>	X
cana-790	149	32	0.4	0.4	NUM
cana-790	149	33	&	&	CCONJ
cana-790	149	34	countna	countna	PROPN
cana-790	149	35	<	<	X
cana-790	149	36	counta	counta	NOUN
cana-790	149	37	:	:	PUNCT
cana-790	149	38	decision	decision	NOUN
cana-790	149	39	=	=	NOUN
cana-790	149	40	level	level	NOUN
cana-790	149	41	–	–	PUNCT
cana-790	149	42	iii	iii	NUM
cana-790	149	43	end	end	NOUN
cana-790	149	44	end	end	NOUN
cana-790	149	45	function	function	NOUN
cana-790	149	46	communications	communication	NOUN
cana-790	149	47	on	on	ADP
cana-790	149	48	applied	apply	VERB
cana-790	149	49	nonlinear	nonlinear	ADJ
cana-790	149	50	analysis	analysis	NOUN
cana-790	149	51	issn	issn	NOUN
cana-790	149	52	:	:	PUNCT
cana-790	149	53	1074	1074	NUM
cana-790	149	54	-	-	PUNCT
cana-790	149	55	133x	133x	NUM
cana-790	149	56	vol	vol	NOUN
cana-790	149	57	31	31	NUM
cana-790	149	58	no	no	NOUN
cana-790	149	59	.	.	PUNCT
cana-790	150	1	3s	3s	NUM
cana-790	150	2	(	(	PUNCT
cana-790	150	3	2024	2024	NUM
cana-790	150	4	)	)	PUNCT
cana-790	150	5	413	413	NUM
cana-790	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	150	7	the	the	DET
cana-790	150	8	examples	example	NOUN
cana-790	150	9	of	of	ADP
cana-790	150	10	level	level	NOUN
cana-790	150	11	-	-	PUNCT
cana-790	150	12	i	i	NOUN
cana-790	150	13	,	,	PUNCT
cana-790	150	14	level	level	NOUN
cana-790	150	15	-	-	PUNCT
cana-790	150	16	ii	ii	NOUN
cana-790	150	17	,	,	PUNCT
cana-790	150	18	level	level	NOUN
cana-790	150	19	-	-	PUNCT
cana-790	150	20	iii	iii	NOUN
cana-790	150	21	autistic	autistic	ADJ
cana-790	150	22	people	people	NOUN
cana-790	150	23	along	along	ADP
cana-790	150	24	their	their	PRON
cana-790	150	25	deviation	deviation	NOUN
cana-790	150	26	𝛿𝑑𝑛(𝑢𝑗	𝛿𝑑𝑛(𝑢𝑗	NOUN
cana-790	150	27	)	)	PUNCT
cana-790	150	28	detected	detect	VERB
cana-790	150	29	by	by	ADP
cana-790	150	30	the	the	DET
cana-790	150	31	𝛽	𝛽	NOUN
cana-790	150	32	−	−	PUNCT
cana-790	150	33	𝑅𝑆	𝑅𝑆	PROPN
cana-790	150	34	model	model	NOUN
cana-790	150	35	is	be	AUX
cana-790	150	36	given	give	VERB
cana-790	150	37	in	in	ADP
cana-790	150	38	figure	figure	NOUN
cana-790	150	39	3	3	NUM
cana-790	150	40	.	.	PUNCT
cana-790	150	41	figure	figure	NOUN
cana-790	150	42	3	3	NUM
cana-790	150	43	.	.	PUNCT
cana-790	150	44	levels	level	NOUN
cana-790	150	45	of	of	ADP
cana-790	150	46	autism	autism	NOUN
cana-790	150	47	4	4	NUM
cana-790	150	48	.	.	PUNCT
cana-790	151	1	interpretation	interpretation	NOUN
cana-790	151	2	of	of	ADP
cana-790	151	3	results	result	NOUN
cana-790	151	4	obtained	obtain	VERB
cana-790	151	5	through	through	ADP
cana-790	151	6	𝜷	𝜷	NOUN
cana-790	151	7	−	−	NOUN
cana-790	151	8	𝑹𝑺	𝑹𝑺	PROPN
cana-790	151	9	model	model	NOUN
cana-790	151	10	(	(	PUNCT
cana-790	151	11	1	1	X
cana-790	151	12	)	)	PUNCT
cana-790	151	13	the	the	DET
cana-790	151	14	𝛽-reduct	𝛽-reduct	NOUN
cana-790	151	15	of	of	ADP
cana-790	151	16	the	the	DET
cana-790	151	17	objects	object	NOUN
cana-790	151	18	aids	aid	NOUN
cana-790	151	19	in	in	ADP
cana-790	151	20	attribute	attribute	NOUN
cana-790	151	21	reduction	reduction	NOUN
cana-790	151	22	and	and	CCONJ
cana-790	151	23	gives	give	VERB
cana-790	151	24	significant	significant	ADJ
cana-790	151	25	attribute	attribute	NOUN
cana-790	151	26	with	with	ADP
cana-790	151	27	respect	respect	NOUN
cana-790	151	28	to	to	ADP
cana-790	151	29	β	β	X
cana-790	151	30	.	.	PUNCT
cana-790	152	1	(	(	PUNCT
cana-790	152	2	2	2	X
cana-790	152	3	)	)	PUNCT
cana-790	152	4	the	the	DET
cana-790	152	5	𝛽	𝛽	NOUN
cana-790	152	6	−	−	PUNCT
cana-790	152	7	𝑅𝑆	𝑅𝑆	PROPN
cana-790	152	8	model	model	NOUN
cana-790	152	9	can	can	AUX
cana-790	152	10	be	be	AUX
cana-790	152	11	used	use	VERB
cana-790	152	12	to	to	PART
cana-790	152	13	detect	detect	VERB
cana-790	152	14	whether	whether	SCONJ
cana-790	152	15	the	the	DET
cana-790	152	16	object	object	NOUN
cana-790	152	17	is	be	AUX
cana-790	152	18	autistic	autistic	ADJ
cana-790	152	19	or	or	CCONJ
cana-790	152	20	otherwise	otherwise	ADV
cana-790	152	21	,	,	PUNCT
cana-790	152	22	continually	continually	ADV
cana-790	152	23	implying	imply	VERB
cana-790	152	24	that	that	SCONJ
cana-790	152	25	�	�	PROPN
cana-790	152	26	̃	̃	PROPN
cana-790	152	27	�	�	PROPN
cana-790	152	28	𝛽(𝑢	𝛽(𝑢	PROPN
cana-790	152	29	)	)	PUNCT
cana-790	152	30	_	_	PRON
cana-790	152	31	is	be	AUX
cana-790	152	32	also	also	ADV
cana-790	152	33	autistic	autistic	ADJ
cana-790	152	34	.	.	PUNCT
cana-790	153	1	for	for	ADP
cana-790	153	2	example	example	NOUN
cana-790	153	3	,	,	PUNCT
cana-790	153	4	an	an	DET
cana-790	153	5	image	image	NOUN
cana-790	153	6	𝑢20	𝑢20	NOUN
cana-790	153	7	and	and	CCONJ
cana-790	153	8	its	its	PRON
cana-790	153	9	neighbors	neighbor	NOUN
cana-790	153	10	in	in	ADP
cana-790	153	11	�	�	PROPN
cana-790	153	12	̃	̃	PROPN
cana-790	153	13	�	�	NOUN
cana-790	153	14	0.4(𝑢20	0.4(𝑢20	NUM
cana-790	153	15	)	)	PUNCT
cana-790	153	16	_	_	NUM
cana-790	153	17	detected	detect	VERB
cana-790	153	18	autistic	autistic	ADJ
cana-790	153	19	by	by	ADP
cana-790	153	20	0.4	0.4	NUM
cana-790	153	21	−	−	NOUN
cana-790	153	22	rs	rs	NOUN
cana-790	153	23	model	model	NOUN
cana-790	153	24	is	be	AUX
cana-790	153	25	shown	show	VERB
cana-790	153	26	in	in	ADP
cana-790	153	27	figure	figure	NOUN
cana-790	153	28	4	4	NUM
cana-790	153	29	.	.	PUNCT
cana-790	153	30	figure	figure	VERB
cana-790	153	31	4	4	NUM
cana-790	153	32	.	.	PUNCT
cana-790	153	33	autism	autism	NOUN
cana-790	153	34	detection	detection	NOUN
cana-790	153	35	by	by	ADP
cana-790	153	36	β	β	X
cana-790	153	37	rs	rs	PROPN
cana-790	153	38	model	model	NOUN
cana-790	153	39	(	(	PUNCT
cana-790	153	40	3	3	NUM
cana-790	153	41	)	)	PUNCT
cana-790	153	42	by	by	ADP
cana-790	153	43	comparing	compare	VERB
cana-790	153	44	the	the	DET
cana-790	153	45	lower	low	ADJ
cana-790	153	46	approximation	approximation	NOUN
cana-790	153	47	space	space	NOUN
cana-790	153	48	of	of	ADP
cana-790	153	49	an	an	DET
cana-790	153	50	autistic	autistic	ADJ
cana-790	153	51	and	and	CCONJ
cana-790	153	52	non	non	ADJ
cana-790	153	53	-	-	ADJ
cana-790	153	54	autistic	autistic	ADJ
cana-790	153	55	image	image	NOUN
cana-790	153	56	one	one	PRON
cana-790	153	57	can	can	AUX
cana-790	153	58	analyze	analyze	VERB
cana-790	153	59	how	how	SCONJ
cana-790	153	60	the	the	DET
cana-790	153	61	facial	facial	ADJ
cana-790	153	62	features	feature	NOUN
cana-790	153	63	of	of	ADP
cana-790	153	64	an	an	DET
cana-790	153	65	autistic	autistic	ADJ
cana-790	153	66	individual	individual	NOUN
cana-790	153	67	differ	differ	VERB
cana-790	153	68	from	from	ADP
cana-790	153	69	their	their	PRON
cana-790	153	70	normal	normal	ADJ
cana-790	153	71	counterparts	counterpart	NOUN
cana-790	153	72	.	.	PUNCT
cana-790	154	1	communications	communication	NOUN
cana-790	154	2	on	on	ADP
cana-790	154	3	applied	apply	VERB
cana-790	154	4	nonlinear	nonlinear	ADJ
cana-790	154	5	analysis	analysis	NOUN
cana-790	154	6	issn	issn	NOUN
cana-790	154	7	:	:	PUNCT
cana-790	154	8	1074	1074	NUM
cana-790	154	9	-	-	PUNCT
cana-790	154	10	133x	133x	NUM
cana-790	154	11	vol	vol	NOUN
cana-790	154	12	31	31	NUM
cana-790	154	13	no	no	NOUN
cana-790	154	14	.	.	PUNCT
cana-790	155	1	3s	3s	NUM
cana-790	155	2	(	(	PUNCT
cana-790	155	3	2024	2024	NUM
cana-790	155	4	)	)	PUNCT
cana-790	155	5	414	414	NUM
cana-790	155	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	155	7	this	this	PRON
cana-790	155	8	is	be	AUX
cana-790	155	9	illustrated	illustrate	VERB
cana-790	155	10	by	by	ADP
cana-790	155	11	taking	take	VERB
cana-790	155	12	an	an	DET
cana-790	155	13	example	example	NOUN
cana-790	155	14	from	from	ADP
cana-790	155	15	the	the	DET
cana-790	155	16	lower	low	ADJ
cana-790	155	17	approximation	approximation	NOUN
cana-790	155	18	space	space	NOUN
cana-790	155	19	of	of	ADP
cana-790	155	20	an	an	DET
cana-790	155	21	autistic	autistic	ADJ
cana-790	155	22	individual	individual	NOUN
cana-790	155	23	.	.	PUNCT
cana-790	156	1	from	from	ADP
cana-790	156	2	the	the	DET
cana-790	156	3	figure	figure	NOUN
cana-790	156	4	,	,	PUNCT
cana-790	156	5	it	it	PRON
cana-790	156	6	can	can	AUX
cana-790	156	7	be	be	AUX
cana-790	156	8	inferred	infer	VERB
cana-790	156	9	using	use	VERB
cana-790	156	10	the	the	DET
cana-790	156	11	bounding	bounding	NOUN
cana-790	156	12	boxes	box	NOUN
cana-790	156	13	that	that	PRON
cana-790	156	14	autistic	autistic	ADJ
cana-790	156	15	individuals	individual	NOUN
cana-790	156	16	exhibit	exhibit	VERB
cana-790	156	17	wider	wide	ADJ
cana-790	156	18	facial	facial	ADJ
cana-790	156	19	markers	marker	NOUN
cana-790	156	20	contrasted	contrast	VERB
cana-790	156	21	to	to	ADP
cana-790	156	22	neurotypical	neurotypical	ADJ
cana-790	156	23	individuals	individual	NOUN
cana-790	156	24	.	.	PUNCT
cana-790	157	1	figure	figure	NOUN
cana-790	157	2	5	5	NUM
cana-790	157	3	.	.	PUNCT
cana-790	157	4	face	face	NOUN
cana-790	157	5	markers	marker	NOUN
cana-790	157	6	:	:	PUNCT
cana-790	157	7	autistic	autistic	ADJ
cana-790	157	8	vs.	vs.	X
cana-790	157	9	non	non	ADJ
cana-790	157	10	-	-	ADJ
cana-790	157	11	autistic	autistic	ADJ
cana-790	157	12	(	(	PUNCT
cana-790	157	13	4	4	NUM
cana-790	157	14	)	)	PUNCT
cana-790	157	15	the	the	DET
cana-790	157	16	lower	low	ADJ
cana-790	157	17	approximation	approximation	NOUN
cana-790	157	18	space	space	NOUN
cana-790	157	19	helps	helps	AUX
cana-790	157	20	find	find	VERB
cana-790	157	21	objects	object	NOUN
cana-790	157	22	exhibiting	exhibit	VERB
cana-790	157	23	similar	similar	ADJ
cana-790	157	24	expressions	expression	NOUN
cana-790	157	25	in	in	ADP
cana-790	157	26	the	the	DET
cana-790	157	27	same	same	ADJ
cana-790	157	28	class	class	NOUN
cana-790	157	29	.	.	PUNCT
cana-790	158	1	the	the	DET
cana-790	158	2	examples	example	NOUN
cana-790	158	3	that	that	PRON
cana-790	158	4	capture	capture	VERB
cana-790	158	5	a	a	DET
cana-790	158	6	frown	frown	VERB
cana-790	158	7	/	/	SYM
cana-790	158	8	frustration	frustration	NOUN
cana-790	158	9	amongst	amongst	ADP
cana-790	158	10	autistic	autistic	ADJ
cana-790	158	11	individuals	individual	NOUN
cana-790	158	12	are	be	AUX
cana-790	158	13	presented	present	VERB
cana-790	158	14	in	in	ADP
cana-790	158	15	figure	figure	NOUN
cana-790	158	16	6	6	NUM
cana-790	158	17	and	and	CCONJ
cana-790	158	18	7	7	NUM
cana-790	158	19	.	.	X
cana-790	158	20	figure	figure	NOUN
cana-790	158	21	6	6	NUM
cana-790	158	22	.	.	PUNCT
cana-790	159	1	objects	object	NOUN
cana-790	159	2	frowning	frown	VERB
cana-790	159	3	figure	figure	NOUN
cana-790	159	4	7	7	NUM
cana-790	159	5	.	.	PUNCT
cana-790	159	6	objects	object	NOUN
cana-790	159	7	expressing	express	VERB
cana-790	159	8	frustration	frustration	NOUN
cana-790	159	9	(	(	PUNCT
cana-790	159	10	5	5	NUM
cana-790	159	11	)	)	PUNCT
cana-790	159	12	the	the	DET
cana-790	159	13	upper	upper	ADJ
cana-790	159	14	approximation	approximation	NOUN
cana-790	159	15	space	space	NOUN
cana-790	159	16	is	be	AUX
cana-790	159	17	advantageous	advantageous	ADJ
cana-790	159	18	in	in	ADP
cana-790	159	19	making	make	VERB
cana-790	159	20	decisions	decision	NOUN
cana-790	159	21	about	about	ADP
cana-790	159	22	mild	mild	ADJ
cana-790	159	23	autistic	autistic	ADJ
cana-790	159	24	individuals	individual	NOUN
cana-790	159	25	who	who	PRON
cana-790	159	26	share	share	VERB
cana-790	159	27	commonalities	commonality	NOUN
cana-790	159	28	in	in	ADP
cana-790	159	29	facial	facial	ADJ
cana-790	159	30	features	feature	NOUN
cana-790	159	31	with	with	ADP
cana-790	159	32	neurotypical	neurotypical	ADJ
cana-790	159	33	individuals	individual	NOUN
cana-790	159	34	.	.	PUNCT
cana-790	160	1	by	by	ADP
cana-790	160	2	analyzing	analyze	VERB
cana-790	160	3	the	the	DET
cana-790	160	4	number	number	NOUN
cana-790	160	5	of	of	ADP
cana-790	160	6	neurotypical	neurotypical	ADJ
cana-790	160	7	individuals	individual	NOUN
cana-790	160	8	in	in	ADP
cana-790	160	9	the	the	DET
cana-790	160	10	upper	upper	ADJ
cana-790	160	11	approximation	approximation	NOUN
cana-790	160	12	space	space	NOUN
cana-790	160	13	,	,	PUNCT
cana-790	160	14	one	one	PRON
cana-790	160	15	can	can	AUX
cana-790	160	16	determine	determine	VERB
cana-790	160	17	how	how	SCONJ
cana-790	160	18	mildly	mildly	ADV
cana-790	160	19	autistic	autistic	ADJ
cana-790	160	20	an	an	DET
cana-790	160	21	individual	individual	NOUN
cana-790	160	22	is	be	AUX
cana-790	160	23	.	.	PUNCT
cana-790	161	1	an	an	DET
cana-790	161	2	example	example	NOUN
cana-790	161	3	of	of	ADP
cana-790	161	4	the	the	DET
cana-790	161	5	application	application	NOUN
cana-790	161	6	of	of	ADP
cana-790	161	7	the	the	DET
cana-790	161	8	upper	upper	ADJ
cana-790	161	9	communications	communication	NOUN
cana-790	161	10	on	on	ADP
cana-790	161	11	applied	apply	VERB
cana-790	161	12	nonlinear	nonlinear	ADJ
cana-790	161	13	analysis	analysis	NOUN
cana-790	161	14	issn	issn	NOUN
cana-790	161	15	:	:	PUNCT
cana-790	161	16	1074	1074	NUM
cana-790	161	17	-	-	PUNCT
cana-790	161	18	133x	133x	NUM
cana-790	161	19	vol	vol	NOUN
cana-790	161	20	31	31	NUM
cana-790	161	21	no	no	NOUN
cana-790	161	22	.	.	PUNCT
cana-790	162	1	3s	3s	NUM
cana-790	162	2	(	(	PUNCT
cana-790	162	3	2024	2024	NUM
cana-790	162	4	)	)	PUNCT
cana-790	162	5	415	415	NUM
cana-790	162	6	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-790	162	7	approximation	approximation	NOUN
cana-790	162	8	space	space	NOUN
cana-790	162	9	for	for	ADP
cana-790	162	10	an	an	DET
cana-790	162	11	object	object	NOUN
cana-790	162	12	𝑢5	𝑢5	NOUN
cana-790	162	13	along	along	ADP
cana-790	162	14	with	with	ADP
cana-790	162	15	neurotypical	neurotypical	ADJ
cana-790	162	16	individuals	individual	NOUN
cana-790	162	17	in	in	ADP
cana-790	162	18	it	it	PRON
cana-790	162	19	is	be	AUX
cana-790	162	20	shown	show	VERB
cana-790	162	21	in	in	ADP
cana-790	162	22	figure	figure	NOUN
cana-790	162	23	8	8	NUM
cana-790	162	24	.	.	PUNCT
cana-790	163	1	figure	figure	NOUN
cana-790	163	2	8	8	NUM
cana-790	163	3	.	.	PUNCT
cana-790	164	1	upper	upper	ADJ
cana-790	164	2	approximation	approximation	NOUN
cana-790	164	3	of	of	ADP
cana-790	164	4	mild	mild	ADJ
cana-790	164	5	autistic	autistic	ADJ
cana-790	164	6	individual	individual	ADJ
cana-790	164	7	u5	u5	PROPN
cana-790	164	8	(	(	PUNCT
cana-790	164	9	6	6	NUM
cana-790	164	10	)	)	PUNCT
cana-790	164	11	the	the	DET
cana-790	164	12	𝛽	𝛽	NOUN
cana-790	164	13	−	−	PUNCT
cana-790	164	14	𝑅𝑆	𝑅𝑆	PROPN
cana-790	164	15	model	model	NOUN
cana-790	164	16	helps	help	VERB
cana-790	164	17	to	to	PART
cana-790	164	18	understand	understand	VERB
cana-790	164	19	the	the	DET
cana-790	164	20	effect	effect	NOUN
cana-790	164	21	of	of	ADP
cana-790	164	22	𝛽	𝛽	NOUN
cana-790	164	23	on	on	ADP
cana-790	164	24	the	the	DET
cana-790	164	25	rough	rough	ADJ
cana-790	164	26	set	set	NOUN
cana-790	164	27	of	of	ADP
cana-790	164	28	the	the	DET
cana-790	164	29	chosen	choose	VERB
cana-790	164	30	object	object	NOUN
cana-790	164	31	in	in	ADP
cana-790	164	32	making	make	VERB
cana-790	164	33	decision	decision	NOUN
cana-790	164	34	.	.	PUNCT
cana-790	165	1	for	for	ADP
cana-790	165	2	example	example	NOUN
cana-790	165	3	,	,	PUNCT
cana-790	165	4	the	the	DET
cana-790	165	5	effect	effect	NOUN
cana-790	165	6	of	of	ADP
cana-790	165	7	𝛽	𝛽	NOUN
cana-790	165	8	on	on	ADP
cana-790	165	9	the	the	DET
cana-790	165	10	𝛽−reduct	𝛽−reduct	NOUN
cana-790	165	11	and	and	CCONJ
cana-790	165	12	the	the	DET
cana-790	165	13	lower	low	ADJ
cana-790	165	14	and	and	CCONJ
cana-790	165	15	upper	upper	ADJ
cana-790	165	16	approximation	approximation	NOUN
cana-790	165	17	space	space	NOUN
cana-790	165	18	of	of	ADP
cana-790	165	19	the	the	DET
cana-790	165	20	object	object	NOUN
cana-790	165	21	u98	u98	NOUN
cana-790	165	22	is	be	AUX
cana-790	165	23	shown	show	VERB
cana-790	165	24	in	in	ADP
cana-790	165	25	table	table	NOUN
cana-790	165	26	8	8	NUM
cana-790	165	27	.	.	PUNCT
cana-790	165	28	table	table	NOUN
cana-790	165	29	8	8	NUM
cana-790	165	30	:	:	PUNCT
cana-790	165	31	effect	effect	NOUN
cana-790	165	32	of	of	ADP
cana-790	165	33	𝛽	𝛽	NOUN
cana-790	165	34	in	in	ADP
cana-790	165	35	constructing	construct	VERB
cana-790	165	36	the	the	DET
cana-790	165	37	lower	low	ADJ
cana-790	165	38	and	and	CCONJ
cana-790	165	39	upper	upper	ADJ
cana-790	165	40	approximation	approximation	NOUN
cana-790	165	41	spaces	space	NOUN
cana-790	165	42	for	for	ADP
cana-790	165	43	𝑢98	𝑢98	NOUN
cana-790	165	44	𝛽	𝛽	PROPN
cana-790	165	45	𝑁𝛽(𝑢98	𝑁𝛽(𝑢98	NOUN
cana-790	165	46	)	)	PUNCT
cana-790	165	47	𝑁𝛽(𝑢98	𝑁𝛽(𝑢98	NOUN
cana-790	165	48	)	)	PUNCT
cana-790	165	49	_	_	PUNCT
cana-790	166	1	𝑁𝛽(𝑢98)−	𝑁𝛽(𝑢98)−	ADP
cana-790	166	2	0.1	0.1	NUM
cana-790	167	1	[	[	X
cana-790	167	2	𝑎1	𝑎1	X
cana-790	167	3	,	,	PUNCT
cana-790	167	4	𝑎2	𝑎2	PROPN
cana-790	167	5	,	,	PUNCT
cana-790	167	6	𝑎3	𝑎3	PROPN
cana-790	167	7	,	,	PUNCT
cana-790	167	8	𝑎4	𝑎4	PROPN
cana-790	167	9	,	,	PUNCT
cana-790	167	10	𝑎5	𝑎5	PROPN
cana-790	167	11	,	,	PUNCT
cana-790	167	12	𝑎6	𝑎6	NOUN
cana-790	167	13	,	,	PUNCT
cana-790	167	14	𝑎7	𝑎7	NOUN
cana-790	167	15	,	,	PUNCT
cana-790	167	16	𝑎8	𝑎8	ADJ
cana-790	167	17	,	,	PUNCT
cana-790	167	18	𝑎9	𝑎9	ADJ
cana-790	167	19	,	,	PUNCT
cana-790	167	20	𝑎10	𝑎10	NOUN
cana-790	167	21	,	,	PUNCT
cana-790	167	22	𝑎11	𝑎11	PROPN
cana-790	167	23	,	,	PUNCT
cana-790	167	24	𝑎12	𝑎12	NOUN
cana-790	167	25	,	,	PUNCT
cana-790	167	26	𝑎13	𝑎13	NOUN
cana-790	167	27	,	,	PUNCT
cana-790	167	28	𝑎14	𝑎14	NOUN
cana-790	167	29	,	,	PUNCT
cana-790	167	30	𝑎15	𝑎15	PROPN
cana-790	167	31	]	]	X
cana-790	167	32	𝑈	𝑈	PROPN
cana-790	167	33	𝑈	𝑈	PROPN
cana-790	167	34	0.2	0.2	NUM
cana-790	168	1	[	[	X
cana-790	168	2	𝑎1	𝑎1	X
cana-790	168	3	,	,	PUNCT
cana-790	168	4	𝑎2	𝑎2	PROPN
cana-790	168	5	,	,	PUNCT
cana-790	168	6	𝑎3	𝑎3	PROPN
cana-790	168	7	,	,	PUNCT
cana-790	168	8	𝑎4	𝑎4	PROPN
cana-790	168	9	,	,	PUNCT
cana-790	168	10	𝑎5	𝑎5	PROPN
cana-790	168	11	,	,	PUNCT
cana-790	168	12	𝑎6	𝑎6	NOUN
cana-790	168	13	,	,	PUNCT
cana-790	168	14	𝑎7	𝑎7	NOUN
cana-790	168	15	,	,	PUNCT
cana-790	168	16	𝑎8	𝑎8	ADJ
cana-790	168	17	,	,	PUNCT
cana-790	168	18	𝑎9	𝑎9	ADJ
cana-790	168	19	,	,	PUNCT
cana-790	168	20	𝑎10	𝑎10	NOUN
cana-790	168	21	,	,	PUNCT
cana-790	168	22	𝑎11	𝑎11	PROPN
cana-790	168	23	,	,	PUNCT
cana-790	168	24	𝑎12	𝑎12	NOUN
cana-790	168	25	,	,	PUNCT
cana-790	168	26	𝑎13	𝑎13	NOUN
cana-790	168	27	,	,	PUNCT
cana-790	168	28	𝑎14	𝑎14	NOUN
cana-790	168	29	]	]	PUNCT
cana-790	169	1	[	[	X
cana-790	169	2	𝑢2	𝑢2	PROPN
cana-790	169	3	,	,	PUNCT
cana-790	169	4	𝑢3	𝑢3	PROPN
cana-790	169	5	,	,	PUNCT
cana-790	169	6	𝑢4	𝑢4	NOUN
cana-790	169	7	,	,	PUNCT
cana-790	169	8	𝑢6	𝑢6	NOUN
cana-790	169	9	,	,	PUNCT
cana-790	169	10	…	…	PUNCT
cana-790	169	11	𝑢174	𝑢174	NUM
cana-790	169	12	,	,	PUNCT
cana-790	169	13	𝑢179,𝑢192	𝑢179,𝑢192	NOUN
cana-790	169	14	,	,	PUNCT
cana-790	169	15	𝑢197	𝑢197	PROPN
cana-790	169	16	]	]	X
cana-790	169	17	𝑈	𝑈	NOUN
cana-790	169	18	0.4	0.4	NUM
cana-790	169	19	[	[	X
cana-790	169	20	𝑎1	𝑎1	X
cana-790	169	21	,	,	PUNCT
cana-790	169	22	𝑎2	𝑎2	PROPN
cana-790	169	23	,	,	PUNCT
cana-790	169	24	𝑎3	𝑎3	PROPN
cana-790	169	25	,	,	PUNCT
cana-790	169	26	𝑎4	𝑎4	PROPN
cana-790	169	27	,	,	PUNCT
cana-790	169	28	𝑎5	𝑎5	PROPN
cana-790	169	29	,	,	PUNCT
cana-790	169	30	𝑎6	𝑎6	NOUN
cana-790	169	31	,	,	PUNCT
cana-790	169	32	𝑎7	𝑎7	NOUN
cana-790	169	33	,	,	PUNCT
cana-790	169	34	𝑎8	𝑎8	ADJ
cana-790	169	35	,	,	PUNCT
cana-790	169	36	𝑎9	𝑎9	ADJ
cana-790	169	37	,	,	PUNCT
cana-790	169	38	𝑎11	𝑎11	VERB
cana-790	169	39	]	]	PUNCT
cana-790	170	1	[	[	X
cana-790	170	2	𝑢7	𝑢7	PROPN
cana-790	170	3	,	,	PUNCT
cana-790	170	4	𝑢9	𝑢9	PROPN
cana-790	170	5	,	,	PUNCT
cana-790	170	6	𝑢11	𝑢11	PROPN
cana-790	170	7	,	,	PUNCT
cana-790	170	8	𝑢16	𝑢16	NOUN
cana-790	170	9	,	,	PUNCT
cana-790	170	10	𝑢21	𝑢21	VERB
cana-790	170	11	,	,	PUNCT
cana-790	170	12	𝑢34	𝑢34	NOUN
cana-790	170	13	,	,	PUNCT
cana-790	170	14	𝑢35	𝑢35	NOUN
cana-790	170	15	,	,	PUNCT
cana-790	170	16	𝑢73	𝑢73	NOUN
cana-790	170	17	,	,	PUNCT
cana-790	170	18	𝑢76	𝑢76	NOUN
cana-790	170	19	,	,	PUNCT
cana-790	170	20	𝑢82	𝑢82	ADJ
cana-790	170	21	,	,	PUNCT
cana-790	170	22	𝑢84	𝑢84	ADV
cana-790	170	23	,	,	PUNCT
cana-790	170	24	𝑢89	𝑢89	NOUN
cana-790	170	25	,	,	PUNCT
cana-790	170	26	𝑢94	𝑢94	PROPN
cana-790	170	27	,	,	PUNCT
cana-790	170	28	𝑢98	𝑢98	ADJ
cana-790	170	29	,	,	PUNCT
cana-790	170	30	𝑢99	𝑢99	NOUN
cana-790	170	31	,	,	PUNCT
cana-790	170	32	𝑢114	𝑢114	PROPN
cana-790	170	33	,	,	PUNCT
cana-790	170	34	𝑢140	𝑢140	PROPN
cana-790	170	35	]	]	X
cana-790	171	1	[	[	X
cana-790	171	2	𝑢6	𝑢6	ADJ
cana-790	171	3	,	,	PUNCT
cana-790	171	4	𝑢7	𝑢7	PROPN
cana-790	171	5	,	,	PUNCT
cana-790	171	6	𝑢9	𝑢9	PROPN
cana-790	171	7	,	,	PUNCT
cana-790	171	8	𝑢11	𝑢11	PROPN
cana-790	171	9	,	,	PUNCT
cana-790	171	10	𝑢16	𝑢16	NOUN
cana-790	171	11	,	,	PUNCT
cana-790	171	12	𝑢7	𝑢7	PROPN
cana-790	171	13	,	,	PUNCT
cana-790	171	14	𝑢9	𝑢9	PROPN
cana-790	171	15	,	,	PUNCT
cana-790	171	16	𝑢11	𝑢11	PROPN
cana-790	171	17	,	,	PUNCT
cana-790	171	18	𝑢16	𝑢16	NOUN
cana-790	171	19	,	,	PUNCT
cana-790	171	20	𝑢20	𝑢20	NOUN
cana-790	171	21	,	,	PUNCT
cana-790	171	22	𝑢21	𝑢21	VERB
cana-790	171	23	,	,	PUNCT
cana-790	171	24	𝑢34	𝑢34	NOUN
cana-790	171	25	,	,	PUNCT
cana-790	171	26	𝑢35	𝑢35	NOUN
cana-790	171	27	,	,	PUNCT
cana-790	171	28	𝑢59	𝑢59	NOUN
cana-790	171	29	,	,	PUNCT
cana-790	171	30	𝑢34	𝑢34	NOUN
cana-790	171	31	,	,	PUNCT
cana-790	171	32	𝑢65	𝑢65	NOUN
cana-790	171	33	,	,	PUNCT
cana-790	171	34	𝑢73	𝑢73	NOUN
cana-790	171	35	,	,	PUNCT
cana-790	171	36	𝑢76	𝑢76	NOUN
cana-790	171	37	,	,	PUNCT
cana-790	171	38	𝑢77	𝑢77	NOUN
cana-790	171	39	,	,	PUNCT
cana-790	171	40	𝑢80	𝑢80	ADJ
cana-790	171	41	,	,	PUNCT
cana-790	171	42	𝑢82	𝑢82	NOUN
cana-790	171	43	,	,	PUNCT
cana-790	171	44	𝑢84	𝑢84	ADV
cana-790	171	45	,	,	PUNCT
cana-790	171	46	𝑢89	𝑢89	NOUN
cana-790	171	47	,	,	PUNCT
cana-790	171	48	𝑢92	𝑢92	PROPN
cana-790	171	49	,	,	PUNCT
cana-790	171	50	𝑢94	𝑢94	PROPN
cana-790	171	51	,	,	PUNCT
cana-790	171	52	𝑢96	𝑢96	PROPN
cana-790	171	53	,	,	PUNCT
cana-790	171	54	𝑢98	𝑢98	NOUN
cana-790	171	55	,	,	PUNCT
cana-790	171	56	𝑢101	𝑢101	PROPN
cana-790	171	57	,	,	PUNCT
cana-790	171	58	𝑢108	𝑢108	NUM
cana-790	171	59	,	,	PUNCT
cana-790	171	60	𝑢114	𝑢114	PROPN
cana-790	171	61	,	,	PUNCT
cana-790	171	62	𝑢139	𝑢139	PROPN
cana-790	171	63	,	,	PUNCT
cana-790	171	64	𝑢140	𝑢140	PROPN
cana-790	171	65	]	]	X
cana-790	171	66	0.7	0.7	NUM
cana-790	171	67	[	[	PUNCT
cana-790	171	68	𝑎5	𝑎5	PROPN
cana-790	171	69	,	,	PUNCT
cana-790	171	70	𝑎11	𝑎11	VERB
cana-790	171	71	]	]	PUNCT
cana-790	172	1	[	[	X
cana-790	172	2	𝑢6	𝑢6	ADJ
cana-790	172	3	,	,	PUNCT
cana-790	172	4	𝑢7	𝑢7	PROPN
cana-790	172	5	,	,	PUNCT
cana-790	172	6	𝑢9	𝑢9	PROPN
cana-790	172	7	,	,	PUNCT
cana-790	172	8	𝑢11	𝑢11	PROPN
cana-790	172	9	,	,	PUNCT
cana-790	172	10	𝑢16	𝑢16	NOUN
cana-790	172	11	𝑢20	𝑢20	NOUN
cana-790	172	12	,	,	PUNCT
cana-790	172	13	𝑢21	𝑢21	VERB
cana-790	172	14	,	,	PUNCT
cana-790	172	15	𝑢98	𝑢98	NOUN
cana-790	172	16	,	,	PUNCT
cana-790	172	17	𝑢102	𝑢102	PROPN
cana-790	172	18	,	,	PUNCT
cana-790	172	19	𝑢108	𝑢108	NUM
cana-790	172	20	]	]	PUNCT
cana-790	173	1	[	[	X
cana-790	173	2	𝑢6	𝑢6	ADJ
cana-790	173	3	,	,	PUNCT
cana-790	173	4	𝑢7	𝑢7	PROPN
cana-790	173	5	,	,	PUNCT
cana-790	173	6	𝑢9	𝑢9	PROPN
cana-790	173	7	,	,	PUNCT
cana-790	173	8	𝑢11	𝑢11	PROPN
cana-790	173	9	,	,	PUNCT
cana-790	173	10	𝑢16	𝑢16	NOUN
cana-790	173	11	,	,	PUNCT
cana-790	173	12	𝑢20	𝑢20	NOUN
cana-790	173	13	,	,	PUNCT
cana-790	173	14	𝑢101	𝑢101	PROPN
cana-790	173	15	,	,	PUNCT
cana-790	173	16	.	.	PUNCT
cana-790	173	17	.	.	PUNCT
cana-790	173	18	.	.	PUNCT
cana-790	174	1	𝑢180	𝑢180	PROPN
cana-790	174	2	,	,	PUNCT
cana-790	174	3	𝑢188	𝑢188	PROPN
cana-790	174	4	]	]	PUNCT
cana-790	174	5	0.8	0.8	NUM
cana-790	175	1	[	[	X
cana-790	175	2	𝑎11	𝑎11	X
cana-790	175	3	]	]	X
cana-790	175	4	[	[	X
cana-790	175	5	𝑢6	𝑢6	ADJ
cana-790	175	6	,	,	PUNCT
cana-790	175	7	𝑢7	𝑢7	PROPN
cana-790	175	8	,	,	PUNCT
cana-790	175	9	𝑢9	𝑢9	PROPN
cana-790	175	10	,	,	PUNCT
cana-790	175	11	𝑢98	𝑢98	ADJ
cana-790	175	12	]	]	PUNCT
cana-790	176	1	[	[	X
cana-790	176	2	𝑢6	𝑢6	ADJ
cana-790	176	3	,	,	PUNCT
cana-790	176	4	𝑢7	𝑢7	PROPN
cana-790	176	5	,	,	PUNCT
cana-790	176	6	𝑢9	𝑢9	PROPN
cana-790	176	7	,	,	PUNCT
cana-790	176	8	𝑢11	𝑢11	PROPN
cana-790	176	9	,	,	PUNCT
cana-790	176	10	𝑢16	𝑢16	NOUN
cana-790	176	11	,	,	PUNCT
cana-790	176	12	𝑢20	𝑢20	NOUN
cana-790	176	13	,	,	PUNCT
cana-790	176	14	𝑢98	𝑢98	NOUN
cana-790	176	15	,	,	PUNCT
cana-790	176	16	𝑢114	𝑢114	PROPN
cana-790	176	17	,	,	PUNCT
cana-790	176	18	𝑢120	𝑢120	PROPN
cana-790	176	19	]	]	X
cana-790	176	20	0.9	0.9	NUM
cana-790	176	21	[	[	PUNCT
cana-790	176	22	]	]	X
cana-790	176	23	[	[	PUNCT
cana-790	176	24	]	]	X
cana-790	176	25	[	[	PUNCT
cana-790	176	26	]	]	X
cana-790	176	27	communications	communication	NOUN
cana-790	176	28	on	on	ADP
cana-790	176	29	applied	apply	VERB
cana-790	176	30	nonlinear	nonlinear	ADJ
cana-790	176	31	analysis	analysis	NOUN
cana-790	176	32	issn	issn	NOUN
cana-790	176	33	:	:	PUNCT
cana-790	176	34	1074	1074	NUM
cana-790	176	35	-	-	PUNCT
cana-790	176	36	133x	133x	NUM
cana-790	176	37	vol	vol	NOUN
cana-790	176	38	31	31	NUM
cana-790	176	39	no	no	NOUN
cana-790	176	40	.	.	PUNCT
cana-790	177	1	3s	3s	NUM
cana-790	177	2	(	(	PUNCT
cana-790	177	3	2024	2024	NUM
cana-790	177	4	)	)	PUNCT
cana-790	177	5	416	416	NUM
cana-790	177	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	177	7	it	it	PRON
cana-790	177	8	can	can	AUX
cana-790	177	9	be	be	AUX
cana-790	177	10	observed	observe	VERB
cana-790	177	11	that	that	SCONJ
cana-790	177	12	for	for	ADP
cana-790	177	13	𝛽	𝛽	NOUN
cana-790	177	14	<	<	X
cana-790	177	15	0.4	0.4	NUM
cana-790	177	16	,	,	PUNCT
cana-790	177	17	there	there	PRON
cana-790	177	18	is	be	VERB
cana-790	177	19	overfitting	overfitte	VERB
cana-790	177	20	of	of	ADP
cana-790	177	21	the	the	DET
cana-790	177	22	model	model	NOUN
cana-790	177	23	,	,	PUNCT
cana-790	177	24	as	as	SCONJ
cana-790	177	25	the	the	DET
cana-790	177	26	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	177	27	contains	contain	VERB
cana-790	177	28	those	those	DET
cana-790	177	29	attributes	attribute	NOUN
cana-790	177	30	that	that	PRON
cana-790	177	31	are	be	AUX
cana-790	177	32	less	less	ADV
cana-790	177	33	significant	significant	ADJ
cana-790	177	34	and	and	CCONJ
cana-790	177	35	the	the	DET
cana-790	177	36	fuzzy	fuzzy	ADJ
cana-790	177	37	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	177	38	contains	contain	VERB
cana-790	177	39	those	those	DET
cana-790	177	40	objects	object	NOUN
cana-790	177	41	which	which	PRON
cana-790	177	42	have	have	VERB
cana-790	177	43	no	no	DET
cana-790	177	44	resemblance	resemblance	NOUN
cana-790	177	45	with	with	ADP
cana-790	177	46	the	the	DET
cana-790	177	47	chosen	choose	VERB
cana-790	177	48	object	object	NOUN
cana-790	177	49	.	.	PUNCT
cana-790	178	1	meaning	mean	VERB
cana-790	178	2	,	,	PUNCT
cana-790	178	3	the	the	DET
cana-790	178	4	system	system	NOUN
cana-790	178	5	does	do	AUX
cana-790	178	6	not	not	PART
cana-790	178	7	learn	learn	VERB
cana-790	178	8	any	any	DET
cana-790	178	9	pattern	pattern	NOUN
cana-790	178	10	in	in	ADP
cana-790	178	11	the	the	DET
cana-790	178	12	data	datum	NOUN
cana-790	178	13	but	but	CCONJ
cana-790	178	14	understands	understand	VERB
cana-790	178	15	the	the	DET
cana-790	178	16	training	training	NOUN
cana-790	178	17	data	datum	NOUN
cana-790	178	18	solely	solely	ADV
cana-790	178	19	for	for	ADP
cana-790	178	20	the	the	DET
cana-790	178	21	sake	sake	NOUN
cana-790	178	22	of	of	ADP
cana-790	178	23	model	model	NOUN
cana-790	178	24	building	building	NOUN
cana-790	178	25	,	,	PUNCT
cana-790	178	26	thus	thus	ADV
cana-790	178	27	resulting	result	VERB
cana-790	178	28	in	in	ADP
cana-790	178	29	overfitting	overfitte	VERB
cana-790	178	30	.	.	PUNCT
cana-790	179	1	for	for	ADP
cana-790	179	2	𝛽	𝛽	NOUN
cana-790	179	3	tending	tend	VERB
cana-790	179	4	to	to	ADP
cana-790	179	5	1	1	NUM
cana-790	179	6	,	,	PUNCT
cana-790	179	7	there	there	PRON
cana-790	179	8	is	be	VERB
cana-790	179	9	underfitting	underfitting	NOUN
cana-790	179	10	of	of	ADP
cana-790	179	11	the	the	DET
cana-790	179	12	model	model	NOUN
cana-790	179	13	as	as	SCONJ
cana-790	179	14	the	the	DET
cana-790	179	15	important	important	ADJ
cana-790	179	16	characterizing	characterizing	NOUN
cana-790	179	17	attributes	attribute	NOUN
cana-790	179	18	of	of	ADP
cana-790	179	19	the	the	DET
cana-790	179	20	chosen	choose	VERB
cana-790	179	21	object	object	NOUN
cana-790	179	22	are	be	AUX
cana-790	179	23	lost	lose	VERB
cana-790	179	24	and	and	CCONJ
cana-790	179	25	the	the	DET
cana-790	179	26	model	model	NOUN
cana-790	179	27	begins	begin	VERB
cana-790	179	28	relying	rely	VERB
cana-790	179	29	on	on	ADP
cana-790	179	30	assumptions	assumption	NOUN
cana-790	179	31	about	about	ADP
cana-790	179	32	the	the	DET
cana-790	179	33	object	object	NOUN
cana-790	179	34	for	for	ADP
cana-790	179	35	decision	decision	NOUN
cana-790	179	36	making	making	NOUN
cana-790	179	37	.	.	PUNCT
cana-790	180	1	hence	hence	ADV
cana-790	180	2	,	,	PUNCT
cana-790	180	3	an	an	DET
cana-790	180	4	optimal	optimal	ADJ
cana-790	180	5	choice	choice	NOUN
cana-790	180	6	of	of	ADP
cana-790	180	7	𝛽	𝛽	NOUN
cana-790	180	8	is	be	AUX
cana-790	180	9	essential	essential	ADJ
cana-790	180	10	for	for	ADP
cana-790	180	11	accurate	accurate	ADJ
cana-790	180	12	decision	decision	NOUN
cana-790	180	13	making	making	NOUN
cana-790	180	14	.	.	PUNCT
cana-790	181	1	(	(	PUNCT
cana-790	181	2	7	7	X
cana-790	181	3	)	)	PUNCT
cana-790	181	4	the	the	DET
cana-790	181	5	model	model	NOUN
cana-790	181	6	presented	present	VERB
cana-790	181	7	an	an	DET
cana-790	181	8	accuracy	accuracy	NOUN
cana-790	181	9	of	of	ADP
cana-790	181	10	92.5	92.5	NUM
cana-790	181	11	%	%	NOUN
cana-790	181	12	for	for	ADP
cana-790	181	13	the	the	DET
cana-790	181	14	threshold	threshold	NOUN
cana-790	181	15	value	value	NOUN
cana-790	181	16	α	α	NOUN
cana-790	181	17	=	=	NOUN
cana-790	181	18	0.1	0.1	NUM
cana-790	181	19	.	.	PUNCT
cana-790	182	1	the	the	DET
cana-790	182	2	confusion	confusion	NOUN
cana-790	182	3	matrix	matrix	NOUN
cana-790	182	4	of	of	ADP
cana-790	182	5	the	the	DET
cana-790	182	6	0.4	0.4	NUM
cana-790	182	7	−	−	NOUN
cana-790	182	8	rs	rs	NOUN
cana-790	182	9	model	model	NOUN
cana-790	182	10	is	be	AUX
cana-790	182	11	shown	show	VERB
cana-790	182	12	in	in	ADP
cana-790	182	13	figure	figure	NOUN
cana-790	182	14	9	9	NUM
cana-790	182	15	.	.	PUNCT
cana-790	183	1	in	in	ADP
cana-790	183	2	comparison	comparison	NOUN
cana-790	183	3	to	to	ADP
cana-790	183	4	the	the	DET
cana-790	183	5	existing	exist	VERB
cana-790	183	6	models	model	NOUN
cana-790	183	7	,	,	PUNCT
cana-790	183	8	this	this	DET
cana-790	183	9	model	model	NOUN
cana-790	183	10	is	be	AUX
cana-790	183	11	extremely	extremely	ADV
cana-790	183	12	advantageous	advantageous	ADJ
cana-790	183	13	owing	owe	VERB
cana-790	183	14	to	to	ADP
cana-790	183	15	the	the	DET
cana-790	183	16	fact	fact	NOUN
cana-790	183	17	that	that	SCONJ
cana-790	183	18	it	it	PRON
cana-790	183	19	makes	make	VERB
cana-790	183	20	a	a	DET
cana-790	183	21	decision	decision	NOUN
cana-790	183	22	about	about	ADP
cana-790	183	23	the	the	DET
cana-790	183	24	chosen	choose	VERB
cana-790	183	25	individual	individual	NOUN
cana-790	183	26	by	by	ADP
cana-790	183	27	observing	observe	VERB
cana-790	183	28	the	the	DET
cana-790	183	29	characteristics	characteristic	NOUN
cana-790	183	30	shared	share	VERB
cana-790	183	31	by	by	ADP
cana-790	183	32	the	the	DET
cana-790	183	33	individual	individual	NOUN
cana-790	183	34	with	with	ADP
cana-790	183	35	its	its	PRON
cana-790	183	36	neighbors	neighbor	NOUN
cana-790	183	37	,	,	PUNCT
cana-790	183	38	thereby	thereby	ADV
cana-790	183	39	improving	improve	VERB
cana-790	183	40	the	the	DET
cana-790	183	41	speed	speed	NOUN
cana-790	183	42	,	,	PUNCT
cana-790	183	43	accuracy	accuracy	NOUN
cana-790	183	44	and	and	CCONJ
cana-790	183	45	precision	precision	NOUN
cana-790	183	46	of	of	ADP
cana-790	183	47	the	the	DET
cana-790	183	48	prediction	prediction	NOUN
cana-790	183	49	.	.	PUNCT
cana-790	184	1	figure	figure	NOUN
cana-790	184	2	9	9	NUM
cana-790	184	3	.	.	PUNCT
cana-790	185	1	accuracy	accuracy	NOUN
cana-790	185	2	of	of	ADP
cana-790	185	3	the	the	DET
cana-790	185	4	0.4	0.4	NUM
cana-790	185	5	−	−	NOUN
cana-790	185	6	rs	rs	NOUN
cana-790	185	7	model	model	NOUN
cana-790	185	8	allowing	allow	VERB
cana-790	185	9	the	the	DET
cana-790	185	10	mathematical	mathematical	ADJ
cana-790	185	11	model	model	NOUN
cana-790	185	12	to	to	PART
cana-790	185	13	work	work	VERB
cana-790	185	14	with	with	ADP
cana-790	185	15	the	the	DET
cana-790	185	16	electrical	electrical	ADJ
cana-790	185	17	activity	activity	NOUN
cana-790	185	18	in	in	ADP
cana-790	185	19	the	the	DET
cana-790	185	20	brain	brain	NOUN
cana-790	185	21	recorded	record	VERB
cana-790	185	22	using	use	VERB
cana-790	185	23	eegs	eeg	NOUN
cana-790	185	24	and	and	CCONJ
cana-790	185	25	focusing	focus	VERB
cana-790	185	26	on	on	ADP
cana-790	185	27	the	the	DET
cana-790	185	28	regions	region	NOUN
cana-790	185	29	of	of	ADP
cana-790	185	30	the	the	DET
cana-790	185	31	brain	brain	NOUN
cana-790	185	32	that	that	PRON
cana-790	185	33	contribute	contribute	VERB
cana-790	185	34	to	to	ADP
cana-790	185	35	giving	give	VERB
cana-790	185	36	rise	rise	NOUN
cana-790	185	37	to	to	ADP
cana-790	185	38	unique	unique	ADJ
cana-790	185	39	facial	facial	ADJ
cana-790	185	40	expressions	expression	NOUN
cana-790	185	41	in	in	ADP
cana-790	185	42	autistic	autistic	ADJ
cana-790	185	43	individuals	individual	NOUN
cana-790	185	44	can	can	AUX
cana-790	185	45	help	help	VERB
cana-790	185	46	improve	improve	VERB
cana-790	185	47	its	its	PRON
cana-790	185	48	prediction	prediction	NOUN
cana-790	185	49	capability	capability	NOUN
cana-790	185	50	by	by	ADP
cana-790	185	51	several	several	ADJ
cana-790	185	52	margins	margin	NOUN
cana-790	185	53	.	.	PUNCT
cana-790	186	1	5	5	X
cana-790	186	2	.	.	X
cana-790	186	3	conclusion	conclusion	NOUN
cana-790	186	4	the	the	DET
cana-790	186	5	𝛽	𝛽	PROPN
cana-790	186	6	−reduct	−reduct	NOUN
cana-790	186	7	,	,	PUNCT
cana-790	186	8	fuzzy	fuzzy	ADJ
cana-790	186	9	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	186	10	,	,	PUNCT
cana-790	186	11	and	and	CCONJ
cana-790	186	12	fuzzy	fuzzy	ADJ
cana-790	186	13	𝛽-neighborhood	𝛽-neighborhood	PROPN
cana-790	186	14	based	base	VERB
cana-790	186	15	soft	soft	ADJ
cana-790	186	16	rough	rough	ADJ
cana-790	186	17	sets	set	NOUN
cana-790	186	18	of	of	ADP
cana-790	186	19	the	the	DET
cana-790	186	20	objects	object	NOUN
cana-790	186	21	have	have	AUX
cana-790	186	22	been	be	AUX
cana-790	186	23	defined	define	VERB
cana-790	186	24	.	.	PUNCT
cana-790	187	1	the	the	DET
cana-790	187	2	𝛽	𝛽	NOUN
cana-790	187	3	−	−	PUNCT
cana-790	187	4	𝑅𝑆	𝑅𝑆	PROPN
cana-790	187	5	model	model	NOUN
cana-790	187	6	was	be	AUX
cana-790	187	7	implemented	implement	VERB
cana-790	187	8	for	for	ADP
cana-790	187	9	autism	autism	NOUN
cana-790	187	10	detection	detection	NOUN
cana-790	187	11	and	and	CCONJ
cana-790	187	12	the	the	DET
cana-790	187	13	model	model	NOUN
cana-790	187	14	showed	show	VERB
cana-790	187	15	an	an	DET
cana-790	187	16	accuracy	accuracy	NOUN
cana-790	187	17	of	of	ADP
cana-790	187	18	about	about	ADP
cana-790	187	19	92.5	92.5	NUM
cana-790	187	20	%	%	NOUN
cana-790	187	21	.	.	PUNCT
cana-790	188	1	further	far	ADV
cana-790	188	2	,	,	PUNCT
cana-790	188	3	the	the	DET
cana-790	188	4	advantage	advantage	NOUN
cana-790	188	5	of	of	ADP
cana-790	188	6	the	the	DET
cana-790	188	7	lower	low	ADJ
cana-790	188	8	approximation	approximation	NOUN
cana-790	188	9	space	space	NOUN
cana-790	188	10	in	in	ADP
cana-790	188	11	determining	determine	VERB
cana-790	188	12	the	the	DET
cana-790	188	13	levels	level	NOUN
cana-790	188	14	of	of	ADP
cana-790	188	15	autism	autism	NOUN
cana-790	188	16	,	,	PUNCT
cana-790	188	17	detecting	detect	VERB
cana-790	188	18	individuals	individual	NOUN
cana-790	188	19	with	with	ADP
cana-790	188	20	similar	similar	ADJ
cana-790	188	21	expression	expression	NOUN
cana-790	188	22	from	from	ADP
cana-790	188	23	same	same	ADJ
cana-790	188	24	class	class	NOUN
cana-790	188	25	,	,	PUNCT
cana-790	188	26	and	and	CCONJ
cana-790	188	27	differentiation	differentiation	NOUN
cana-790	188	28	of	of	ADP
cana-790	188	29	facial	facial	ADJ
cana-790	188	30	feature	feature	NOUN
cana-790	188	31	of	of	ADP
cana-790	188	32	an	an	DET
cana-790	188	33	autistic	autistic	ADJ
cana-790	188	34	individual	individual	NOUN
cana-790	188	35	from	from	ADP
cana-790	188	36	a	a	DET
cana-790	188	37	neurotypical	neurotypical	ADJ
cana-790	188	38	one	one	NOUN
cana-790	188	39	are	be	AUX
cana-790	188	40	discussed	discuss	VERB
cana-790	188	41	.	.	PUNCT
cana-790	189	1	the	the	DET
cana-790	189	2	significance	significance	NOUN
cana-790	189	3	of	of	ADP
cana-790	189	4	the	the	DET
cana-790	189	5	upper	upper	ADJ
cana-790	189	6	approximation	approximation	NOUN
cana-790	189	7	space	space	NOUN
cana-790	189	8	in	in	ADP
cana-790	189	9	the	the	DET
cana-790	189	10	case	case	NOUN
cana-790	189	11	of	of	ADP
cana-790	189	12	a	a	DET
cana-790	189	13	mild	mild	ADJ
cana-790	189	14	autistic	autistic	ADJ
cana-790	189	15	people	people	NOUN
cana-790	189	16	has	have	AUX
cana-790	189	17	also	also	ADV
cana-790	189	18	been	be	AUX
cana-790	189	19	shown	show	VERB
cana-790	189	20	.	.	PUNCT
cana-790	190	1	consequently	consequently	ADV
cana-790	190	2	,	,	PUNCT
cana-790	190	3	the	the	DET
cana-790	190	4	main	main	ADJ
cana-790	190	5	advantage	advantage	NOUN
cana-790	190	6	of	of	ADP
cana-790	190	7	the	the	DET
cana-790	190	8	model	model	NOUN
cana-790	190	9	has	have	AUX
cana-790	190	10	been	be	AUX
cana-790	190	11	found	find	VERB
cana-790	190	12	to	to	PART
cana-790	190	13	lie	lie	VERB
cana-790	190	14	in	in	ADP
cana-790	190	15	the	the	DET
cana-790	190	16	fact	fact	NOUN
cana-790	190	17	that	that	SCONJ
cana-790	190	18	it	it	PRON
cana-790	190	19	requires	require	VERB
cana-790	190	20	no	no	DET
cana-790	190	21	prior	prior	ADJ
cana-790	190	22	information	information	NOUN
cana-790	190	23	communications	communication	NOUN
cana-790	190	24	on	on	ADP
cana-790	190	25	applied	apply	VERB
cana-790	190	26	nonlinear	nonlinear	ADJ
cana-790	190	27	analysis	analysis	NOUN
cana-790	190	28	issn	issn	NOUN
cana-790	190	29	:	:	PUNCT
cana-790	190	30	1074	1074	NUM
cana-790	190	31	-	-	PUNCT
cana-790	190	32	133x	133x	NUM
cana-790	190	33	vol	vol	NOUN
cana-790	190	34	31	31	NUM
cana-790	190	35	no	no	NOUN
cana-790	190	36	.	.	PUNCT
cana-790	191	1	3s	3s	NUM
cana-790	191	2	(	(	PUNCT
cana-790	191	3	2024	2024	NUM
cana-790	191	4	)	)	PUNCT
cana-790	191	5	417	417	NUM
cana-790	191	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	191	7	to	to	PART
cana-790	191	8	make	make	VERB
cana-790	191	9	decisions	decision	NOUN
cana-790	191	10	about	about	ADP
cana-790	191	11	the	the	DET
cana-790	191	12	dataset	dataset	NOUN
cana-790	191	13	and	and	CCONJ
cana-790	191	14	utilizes	utilize	VERB
cana-790	191	15	the	the	DET
cana-790	191	16	fuzzy	fuzzy	ADJ
cana-790	191	17	𝛽-neighborhood	𝛽-neighborhood	NOUN
cana-790	191	18	of	of	ADP
cana-790	191	19	the	the	DET
cana-790	191	20	object	object	NOUN
cana-790	191	21	for	for	ADP
cana-790	191	22	detection	detection	NOUN
cana-790	191	23	and	and	CCONJ
cana-790	191	24	classification	classification	NOUN
cana-790	191	25	of	of	ADP
cana-790	191	26	levels	level	NOUN
cana-790	191	27	of	of	ADP
cana-790	191	28	autism	autism	NOUN
cana-790	191	29	.	.	PUNCT
cana-790	192	1	the	the	DET
cana-790	192	2	𝛽-reduct	𝛽-reduct	NOUN
cana-790	192	3	aids	aid	VERB
cana-790	192	4	in	in	ADP
cana-790	192	5	understanding	understand	VERB
cana-790	192	6	the	the	DET
cana-790	192	7	behavior	behavior	NOUN
cana-790	192	8	of	of	ADP
cana-790	192	9	individuals	individual	NOUN
cana-790	192	10	who	who	PRON
cana-790	192	11	express	express	VERB
cana-790	192	12	themselves	themselves	PRON
cana-790	192	13	similar	similar	ADJ
cana-790	192	14	to	to	ADP
cana-790	192	15	a	a	DET
cana-790	192	16	chosen	choose	VERB
cana-790	192	17	individual	individual	NOUN
cana-790	192	18	,	,	PUNCT
cana-790	192	19	and	and	CCONJ
cana-790	192	20	hence	hence	ADV
cana-790	192	21	the	the	DET
cana-790	192	22	𝛽	𝛽	NOUN
cana-790	192	23	−	−	PUNCT
cana-790	192	24	𝑅𝑆	𝑅𝑆	PROPN
cana-790	192	25	model	model	NOUN
cana-790	192	26	executes	execute	VERB
cana-790	192	27	the	the	DET
cana-790	192	28	decision	decision	NOUN
cana-790	192	29	-	-	PUNCT
cana-790	192	30	making	make	VERB
cana-790	192	31	process	process	NOUN
cana-790	192	32	in	in	ADP
cana-790	192	33	a	a	DET
cana-790	192	34	reduced	reduced	ADJ
cana-790	192	35	computational	computational	ADJ
cana-790	192	36	time	time	NOUN
cana-790	192	37	frame	frame	NOUN
cana-790	192	38	to	to	PART
cana-790	192	39	produce	produce	VERB
cana-790	192	40	efficient	efficient	ADJ
cana-790	192	41	results	result	NOUN
cana-790	192	42	.	.	PUNCT
cana-790	193	1	the	the	DET
cana-790	193	2	𝛽	𝛽	NOUN
cana-790	193	3	−	−	PROPN
cana-790	193	4	𝑅𝑆	𝑅𝑆	PROPN
cana-790	193	5	model	model	NOUN
cana-790	193	6	can	can	AUX
cana-790	193	7	further	far	ADV
cana-790	193	8	be	be	AUX
cana-790	193	9	tuned	tune	VERB
cana-790	193	10	by	by	ADP
cana-790	193	11	working	work	VERB
cana-790	193	12	with	with	ADP
cana-790	193	13	equipment	equipment	NOUN
cana-790	193	14	that	that	PRON
cana-790	193	15	helps	helps	AUX
cana-790	193	16	understand	understand	VERB
cana-790	193	17	brain	brain	NOUN
cana-790	193	18	activity	activity	NOUN
cana-790	193	19	to	to	PART
cana-790	193	20	produce	produce	VERB
cana-790	193	21	improved	improved	ADJ
cana-790	193	22	and	and	CCONJ
cana-790	193	23	reliable	reliable	ADJ
cana-790	193	24	results	result	NOUN
cana-790	193	25	.	.	PUNCT
cana-790	194	1	funding	funding	NOUN
cana-790	194	2	:	:	PUNCT
cana-790	194	3	this	this	DET
cana-790	194	4	research	research	NOUN
cana-790	194	5	received	receive	VERB
cana-790	194	6	no	no	DET
cana-790	194	7	external	external	ADJ
cana-790	194	8	funding	funding	NOUN
cana-790	194	9	.	.	PUNCT
cana-790	195	1	acknowledgments	acknowledgment	NOUN
cana-790	195	2	:	:	PUNCT
cana-790	195	3	the	the	DET
cana-790	195	4	authors	author	NOUN
cana-790	195	5	thank	thank	VERB
cana-790	195	6	the	the	DET
cana-790	195	7	management	management	NOUN
cana-790	195	8	and	and	CCONJ
cana-790	195	9	principal	principal	NOUN
cana-790	195	10	,	,	PUNCT
cana-790	195	11	sri	sri	PROPN
cana-790	195	12	siva	siva	PROPN
cana-790	195	13	subramaniya	subramaniya	PROPN
cana-790	195	14	nadar	nadar	PROPN
cana-790	195	15	college	college	PROPN
cana-790	195	16	of	of	ADP
cana-790	195	17	engineering	engineering	NOUN
cana-790	195	18	for	for	ADP
cana-790	195	19	their	their	PRON
cana-790	195	20	support	support	NOUN
cana-790	195	21	and	and	CCONJ
cana-790	195	22	encouragement	encouragement	NOUN
cana-790	195	23	for	for	ADP
cana-790	195	24	the	the	DET
cana-790	195	25	successful	successful	ADJ
cana-790	195	26	completion	completion	NOUN
cana-790	195	27	of	of	ADP
cana-790	195	28	the	the	DET
cana-790	195	29	work	work	NOUN
cana-790	195	30	.	.	PUNCT
cana-790	196	1	conflicts	conflict	NOUN
cana-790	196	2	of	of	ADP
cana-790	196	3	interest	interest	NOUN
cana-790	196	4	:	:	PUNCT
cana-790	196	5	the	the	DET
cana-790	196	6	authors	author	NOUN
cana-790	196	7	declare	declare	VERB
cana-790	196	8	no	no	DET
cana-790	196	9	conflict	conflict	NOUN
cana-790	196	10	of	of	ADP
cana-790	196	11	interest	interest	NOUN
cana-790	196	12	.	.	PUNCT
cana-790	197	1	references	reference	NOUN
cana-790	197	2	[	[	X
cana-790	197	3	1	1	NUM
cana-790	197	4	]	]	PUNCT
cana-790	197	5	aldridge	aldridge	PROPN
cana-790	197	6	,	,	PUNCT
cana-790	197	7	kristina	kristina	PROPN
cana-790	197	8	,	,	PUNCT
cana-790	197	9	ian	ian	PROPN
cana-790	197	10	d.	d.	PROPN
cana-790	197	11	george	george	PROPN
cana-790	197	12	,	,	PUNCT
cana-790	197	13	kimberly	kimberly	PROPN
cana-790	197	14	k.	k.	PROPN
cana-790	197	15	cole	cole	PROPN
cana-790	197	16	,	,	PUNCT
cana-790	197	17	jordan	jordan	PROPN
cana-790	197	18	r.	r.	PROPN
cana-790	197	19	austin	austin	PROPN
cana-790	197	20	,	,	PUNCT
cana-790	197	21	t.	t.	PROPN
cana-790	197	22	nicole	nicole	PROPN
cana-790	197	23	takahashi	takahashi	PROPN
cana-790	197	24	,	,	PUNCT
cana-790	197	25	ye	ye	PROPN
cana-790	197	26	duan	duan	PROPN
cana-790	197	27	and	and	CCONJ
cana-790	197	28	judith	judith	PROPN
cana-790	197	29	h.	h.	PROPN
cana-790	197	30	miles	miles	PROPN
cana-790	197	31	.	.	PUNCT
cana-790	198	1	“	"	PUNCT
cana-790	198	2	facial	facial	ADJ
cana-790	198	3	phenotypes	phenotype	NOUN
cana-790	198	4	in	in	ADP
cana-790	198	5	subgroups	subgroup	NOUN
cana-790	198	6	of	of	ADP
cana-790	198	7	prepubertal	prepubertal	NOUN
cana-790	198	8	boys	boy	NOUN
cana-790	198	9	with	with	ADP
cana-790	198	10	autism	autism	NOUN
cana-790	198	11	spectrum	spectrum	NOUN
cana-790	198	12	disorders	disorder	NOUN
cana-790	198	13	are	be	AUX
cana-790	198	14	correlated	correlate	VERB
cana-790	198	15	with	with	ADP
cana-790	198	16	clinical	clinical	ADJ
cana-790	198	17	phenotypes	phenotype	NOUN
cana-790	198	18	.	.	PUNCT
cana-790	198	19	”	"	PUNCT
cana-790	199	1	molecular	molecular	ADJ
cana-790	199	2	autism	autism	NOUN
cana-790	199	3	2	2	NUM
cana-790	199	4	(	(	PUNCT
cana-790	199	5	2011	2011	NUM
cana-790	199	6	):	):	PUNCT
cana-790	199	7	1	1	NUM
cana-790	199	8	-	-	SYM
cana-790	199	9	12	12	NUM
cana-790	199	10	.	.	PUNCT
cana-790	200	1	[	[	X
cana-790	200	2	2	2	NUM
cana-790	200	3	]	]	PUNCT
cana-790	200	4	boughattas	boughatta	NOUN
cana-790	200	5	,	,	PUNCT
cana-790	200	6	naouel	naouel	NOUN
cana-790	200	7	,	,	PUNCT
cana-790	200	8	and	and	CCONJ
cana-790	200	9	hanen	hanen	PROPN
cana-790	200	10	jabnoun	jabnoun	NOUN
cana-790	200	11	.	.	PUNCT
cana-790	201	1	“	"	PUNCT
cana-790	201	2	autism	autism	NOUN
cana-790	201	3	spectrum	spectrum	NOUN
cana-790	201	4	disorder	disorder	NOUN
cana-790	201	5	(	(	PUNCT
cana-790	201	6	asd	asd	NOUN
cana-790	201	7	)	)	PUNCT
cana-790	201	8	detection	detection	NOUN
cana-790	201	9	using	use	VERB
cana-790	201	10	machine	machine	NOUN
cana-790	201	11	learning	learning	NOUN
cana-790	201	12	algorithms	algorithm	NOUN
cana-790	201	13	.	.	PUNCT
cana-790	201	14	”	"	PUNCT
cana-790	202	1	in	in	ADP
cana-790	202	2	international	international	ADJ
cana-790	202	3	conference	conference	NOUN
cana-790	202	4	on	on	ADP
cana-790	202	5	smart	smart	ADJ
cana-790	202	6	homes	home	NOUN
cana-790	202	7	and	and	CCONJ
cana-790	202	8	health	health	NOUN
cana-790	202	9	telematics	telematic	NOUN
cana-790	202	10	,	,	PUNCT
cana-790	202	11	pp	pp	ADJ
cana-790	202	12	.	.	PUNCT
cana-790	202	13	225	225	NUM
cana-790	202	14	-	-	SYM
cana-790	202	15	233	233	NUM
cana-790	202	16	.	.	PUNCT
cana-790	202	17	cham	cham	PROPN
cana-790	202	18	:	:	PUNCT
cana-790	202	19	springer	springer	NOUN
cana-790	202	20	international	international	ADJ
cana-790	202	21	publishing	publishing	NOUN
cana-790	202	22	,	,	PUNCT
cana-790	202	23	2022	2022	NUM
cana-790	202	24	.	.	PUNCT
cana-790	203	1	[	[	X
cana-790	203	2	3	3	X
cana-790	203	3	]	]	X
cana-790	203	4	koc	koc	PROPN
cana-790	203	5	,	,	PUNCT
cana-790	203	6	emel	emel	PROPN
cana-790	203	7	,	,	PUNCT
cana-790	203	8	habil	habil	PROPN
cana-790	203	9	kalkan	kalkan	PROPN
cana-790	203	10	,	,	PUNCT
cana-790	203	11	and	and	CCONJ
cana-790	203	12	semih	semih	PROPN
cana-790	203	13	bilgen	bilgen	NOUN
cana-790	203	14	.	.	PUNCT
cana-790	204	1	"	"	PUNCT
cana-790	204	2	autism	autism	NOUN
cana-790	204	3	spectrum	spectrum	NOUN
cana-790	204	4	disorder	disorder	NOUN
cana-790	204	5	detection	detection	NOUN
cana-790	204	6	by	by	ADP
cana-790	204	7	hybrid	hybrid	ADJ
cana-790	204	8	convolutional	convolutional	ADJ
cana-790	204	9	recurrent	recurrent	ADJ
cana-790	204	10	neural	neural	ADJ
cana-790	204	11	networks	network	NOUN
cana-790	204	12	from	from	ADP
cana-790	204	13	structural	structural	ADJ
cana-790	204	14	and	and	CCONJ
cana-790	204	15	resting	rest	VERB
cana-790	204	16	state	state	NOUN
cana-790	204	17	functional	functional	ADJ
cana-790	204	18	mri	mri	NOUN
cana-790	204	19	images	image	NOUN
cana-790	204	20	.	.	PUNCT
cana-790	204	21	"	"	PUNCT
cana-790	204	22	autism	autism	NOUN
cana-790	204	23	research	research	NOUN
cana-790	204	24	and	and	CCONJ
cana-790	204	25	treatment	treatment	NOUN
cana-790	204	26	2023	2023	NUM
cana-790	204	27	,	,	PUNCT
cana-790	204	28	no	no	INTJ
cana-790	204	29	.	.	NOUN
cana-790	204	30	1	1	NUM
cana-790	204	31	(	(	PUNCT
cana-790	204	32	2023	2023	NUM
cana-790	204	33	):	):	PUNCT
cana-790	204	34	4136087	4136087	NUM
cana-790	204	35	.	.	PUNCT
cana-790	205	1	[	[	X
cana-790	205	2	4	4	NUM
cana-790	205	3	]	]	X
cana-790	205	4	ganesan	ganesan	NOUN
cana-790	205	5	,	,	PUNCT
cana-790	205	6	srividhya	srividhya	PROPN
cana-790	205	7	,	,	PUNCT
cana-790	205	8	and	and	CCONJ
cana-790	205	9	j.	j.	PROPN
cana-790	205	10	senthil	senthil	PROPN
cana-790	205	11	.	.	PUNCT
cana-790	206	1	"	"	PUNCT
cana-790	206	2	prediction	prediction	NOUN
cana-790	206	3	of	of	ADP
cana-790	206	4	autism	autism	NOUN
cana-790	206	5	spectrum	spectrum	NOUN
cana-790	206	6	disorder	disorder	NOUN
cana-790	206	7	by	by	ADP
cana-790	206	8	facial	facial	ADJ
cana-790	206	9	recognition	recognition	NOUN
cana-790	206	10	using	use	VERB
cana-790	206	11	machine	machine	NOUN
cana-790	206	12	learning	learning	NOUN
cana-790	206	13	.	.	PUNCT
cana-790	206	14	"	"	PUNCT
cana-790	207	1	webology	webology	NOUN
cana-790	207	2	18	18	NUM
cana-790	207	3	,	,	PUNCT
cana-790	207	4	no	no	INTJ
cana-790	207	5	.	.	PUNCT
cana-790	208	1	special	special	ADJ
cana-790	208	2	issue	issue	NOUN
cana-790	208	3	on	on	ADP
cana-790	208	4	information	information	NOUN
cana-790	208	5	retrieval	retrieval	NOUN
cana-790	208	6	and	and	CCONJ
cana-790	208	7	web	web	NOUN
cana-790	208	8	search	search	NOUN
cana-790	208	9	(	(	PUNCT
cana-790	208	10	2021	2021	NUM
cana-790	208	11	):	):	PUNCT
cana-790	208	12	406417	406417	NUM
cana-790	208	13	.	.	PUNCT
cana-790	209	1	[	[	X
cana-790	209	2	5	5	NUM
cana-790	209	3	]	]	PUNCT
cana-790	209	4	guenther	guenther	PROPN
cana-790	209	5	,	,	PUNCT
cana-790	209	6	katja	katja	PROPN
cana-790	209	7	.	.	PUNCT
cana-790	210	1	"	"	PUNCT
cana-790	210	2	‘	'	PUNCT
cana-790	210	3	it	it	PRON
cana-790	210	4	’s	’s	AUX
cana-790	210	5	all	all	PRON
cana-790	210	6	done	do	VERB
cana-790	210	7	with	with	ADP
cana-790	210	8	mirrors	mirror	NOUN
cana-790	210	9	’	'	PUNCT
cana-790	210	10	:	:	PUNCT
cana-790	210	11	vs	vs	ADP
cana-790	210	12	ramachandran	ramachandran	PROPN
cana-790	210	13	and	and	CCONJ
cana-790	210	14	the	the	DET
cana-790	210	15	material	material	NOUN
cana-790	210	16	culture	culture	NOUN
cana-790	210	17	of	of	ADP
cana-790	210	18	phantom	phantom	ADJ
cana-790	210	19	limb	limb	NOUN
cana-790	210	20	research	research	NOUN
cana-790	210	21	.	.	PUNCT
cana-790	210	22	"	"	PUNCT
cana-790	211	1	medical	medical	ADJ
cana-790	211	2	history	history	NOUN
cana-790	211	3	60	60	NUM
cana-790	211	4	,	,	PUNCT
cana-790	211	5	no	no	INTJ
cana-790	211	6	.	.	NOUN
cana-790	211	7	3	3	NUM
cana-790	211	8	(	(	PUNCT
cana-790	211	9	2016	2016	NUM
cana-790	211	10	):	):	PUNCT
cana-790	211	11	342	342	NUM
cana-790	211	12	-	-	SYM
cana-790	211	13	358	358	NUM
cana-790	211	14	.	.	PUNCT
cana-790	212	1	[	[	X
cana-790	212	2	6	6	NUM
cana-790	212	3	]	]	X
cana-790	212	4	hossain	hossain	PROPN
cana-790	212	5	,	,	PUNCT
cana-790	212	6	md	md	PROPN
cana-790	212	7	delowar	delowar	PROPN
cana-790	212	8	,	,	PUNCT
cana-790	212	9	muhammad	muhammad	PROPN
cana-790	212	10	ashad	ashad	VERB
cana-790	212	11	kabir	kabir	PROPN
cana-790	212	12	,	,	PUNCT
cana-790	212	13	adnan	adnan	PROPN
cana-790	212	14	anwar	anwar	PROPN
cana-790	212	15	,	,	PUNCT
cana-790	212	16	and	and	CCONJ
cana-790	212	17	md	md	PROPN
cana-790	212	18	zahidul	zahidul	PROPN
cana-790	212	19	islam	islam	PROPN
cana-790	212	20	.	.	PUNCT
cana-790	213	1	“	"	PUNCT
cana-790	213	2	detecting	detect	VERB
cana-790	213	3	autism	autism	NOUN
cana-790	213	4	spectrum	spectrum	NOUN
cana-790	213	5	disorder	disorder	NOUN
cana-790	213	6	using	use	VERB
cana-790	213	7	machine	machine	NOUN
cana-790	213	8	learning	learn	VERB
cana-790	213	9	techniques	technique	NOUN
cana-790	213	10	:	:	PUNCT
cana-790	213	11	an	an	DET
cana-790	213	12	experimental	experimental	ADJ
cana-790	213	13	analysis	analysis	NOUN
cana-790	213	14	on	on	ADP
cana-790	213	15	toddler	toddler	NOUN
cana-790	213	16	,	,	PUNCT
cana-790	213	17	child	child	NOUN
cana-790	213	18	,	,	PUNCT
cana-790	213	19	adolescent	adolescent	ADJ
cana-790	213	20	and	and	CCONJ
cana-790	213	21	adult	adult	NOUN
cana-790	213	22	datasets	dataset	NOUN
cana-790	213	23	.	.	PUNCT
cana-790	213	24	”	"	PUNCT
cana-790	214	1	health	health	NOUN
cana-790	214	2	information	information	NOUN
cana-790	214	3	science	science	NOUN
cana-790	214	4	and	and	CCONJ
cana-790	214	5	systems	system	NOUN
cana-790	214	6	9	9	NUM
cana-790	214	7	(	(	PUNCT
cana-790	214	8	2021	2021	NUM
cana-790	214	9	):	):	PUNCT
cana-790	214	10	1	1	NUM
cana-790	214	11	-	-	SYM
cana-790	214	12	13	13	NUM
cana-790	214	13	.	.	PUNCT
cana-790	215	1	[	[	X
cana-790	215	2	7	7	NUM
cana-790	215	3	]	]	X
cana-790	215	4	lamani	lamani	PROPN
cana-790	215	5	,	,	PUNCT
cana-790	215	6	manjunath	manjunath	PROPN
cana-790	215	7	ramanna	ramanna	PROPN
cana-790	215	8	,	,	PUNCT
cana-790	215	9	and	and	CCONJ
cana-790	215	10	p.	p.	PROPN
cana-790	215	11	julian	julian	PROPN
cana-790	215	12	benadit	benadit	NOUN
cana-790	215	13	.	.	PUNCT
cana-790	216	1	“	"	PUNCT
cana-790	216	2	automatic	automatic	ADJ
cana-790	216	3	diagnosis	diagnosis	NOUN
cana-790	216	4	of	of	ADP
cana-790	216	5	autism	autism	NOUN
cana-790	216	6	spectrum	spectrum	NOUN
cana-790	216	7	disorder	disorder	NOUN
cana-790	216	8	detection	detection	NOUN
cana-790	216	9	using	use	VERB
cana-790	216	10	a	a	DET
cana-790	216	11	hybrid	hybrid	ADJ
cana-790	216	12	feature	feature	NOUN
cana-790	216	13	selection	selection	NOUN
cana-790	216	14	model	model	NOUN
cana-790	216	15	with	with	ADP
cana-790	216	16	graph	graph	NOUN
cana-790	216	17	convolution	convolution	NOUN
cana-790	216	18	network	network	NOUN
cana-790	216	19	.	.	PUNCT
cana-790	216	20	”	"	PUNCT
cana-790	217	1	sn	sn	PROPN
cana-790	217	2	computer	computer	NOUN
cana-790	217	3	science	science	NOUN
cana-790	217	4	5	5	NUM
cana-790	217	5	,	,	PUNCT
cana-790	217	6	no	no	INTJ
cana-790	217	7	.	.	NOUN
cana-790	217	8	1	1	NUM
cana-790	217	9	(	(	PUNCT
cana-790	217	10	2023	2023	NUM
cana-790	217	11	):	):	PUNCT
cana-790	217	12	126	126	NUM
cana-790	217	13	.	.	PUNCT
cana-790	218	1	[	[	X
cana-790	218	2	8	8	NUM
cana-790	218	3	]	]	X
cana-790	218	4	loth	loth	NOUN
cana-790	218	5	,	,	PUNCT
cana-790	218	6	eva	eva	PROPN
cana-790	218	7	,	,	PUNCT
cana-790	218	8	lucia	lucia	PROPN
cana-790	218	9	garrido	garrido	PROPN
cana-790	218	10	,	,	PUNCT
cana-790	218	11	jumana	jumana	PROPN
cana-790	218	12	ahmad	ahmad	PROPN
cana-790	218	13	,	,	PUNCT
cana-790	218	14	ekaterina	ekaterina	PROPN
cana-790	218	15	watson	watson	PROPN
cana-790	218	16	,	,	PUNCT
cana-790	218	17	alexa	alexa	PROPN
cana-790	218	18	duff	duff	PROPN
cana-790	218	19	,	,	PUNCT
cana-790	218	20	and	and	CCONJ
cana-790	218	21	bradley	bradley	PROPN
cana-790	218	22	duchaine	duchaine	PROPN
cana-790	218	23	.	.	PUNCT
cana-790	219	1	“	"	PUNCT
cana-790	219	2	facial	facial	ADJ
cana-790	219	3	expression	expression	NOUN
cana-790	219	4	recognition	recognition	NOUN
cana-790	219	5	as	as	ADP
cana-790	219	6	a	a	DET
cana-790	219	7	candidate	candidate	NOUN
cana-790	219	8	marker	marker	NOUN
cana-790	219	9	for	for	ADP
cana-790	219	10	autism	autism	NOUN
cana-790	219	11	spectrum	spectrum	NOUN
cana-790	219	12	disorder	disorder	NOUN
cana-790	219	13	:	:	PUNCT
cana-790	219	14	how	how	SCONJ
cana-790	219	15	frequent	frequent	ADJ
cana-790	219	16	and	and	CCONJ
cana-790	219	17	severe	severe	ADJ
cana-790	219	18	are	be	AUX
cana-790	219	19	the	the	DET
cana-790	219	20	deficits	deficit	NOUN
cana-790	219	21	?	?	PUNCT
cana-790	219	22	”	"	PUNCT
cana-790	220	1	molecular	molecular	ADJ
cana-790	220	2	autism	autism	NOUN
cana-790	220	3	9	9	NUM
cana-790	220	4	(	(	PUNCT
cana-790	220	5	2018	2018	NUM
cana-790	220	6	):	):	PUNCT
cana-790	220	7	1	1	NUM
cana-790	220	8	-	-	SYM
cana-790	220	9	11	11	NUM
cana-790	220	10	.	.	PUNCT
cana-790	221	1	[	[	X
cana-790	221	2	9	9	NUM
cana-790	221	3	]	]	SYM
cana-790	221	4	miles	mile	NOUN
cana-790	221	5	,	,	PUNCT
cana-790	221	6	judith	judith	PROPN
cana-790	221	7	h.	h.	PROPN
cana-790	221	8	,	,	PUNCT
cana-790	221	9	t.	t.	PROPN
cana-790	221	10	nicole	nicole	PROPN
cana-790	221	11	takahashi	takahashi	PROPN
cana-790	221	12	,	,	PUNCT
cana-790	221	13	julie	julie	PROPN
cana-790	221	14	hong	hong	PROPN
cana-790	221	15	,	,	PUNCT
cana-790	221	16	nicole	nicole	PROPN
cana-790	221	17	munden	munden	PROPN
cana-790	221	18	,	,	PUNCT
cana-790	221	19	nancy	nancy	PROPN
cana-790	221	20	flournoy	flournoy	PROPN
cana-790	221	21	,	,	PUNCT
cana-790	221	22	stephen	stephen	PROPN
cana-790	221	23	r.	r.	PROPN
cana-790	221	24	braddock	braddock	PROPN
cana-790	221	25	,	,	PUNCT
cana-790	221	26	rick	rick	PROPN
cana-790	221	27	a.	a.	PROPN
cana-790	221	28	martin	martin	PROPN
cana-790	221	29	,	,	PUNCT
cana-790	221	30	m.	m.	PROPN
cana-790	221	31	anne	anne	PROPN
cana-790	221	32	spence	spence	PROPN
cana-790	221	33	,	,	PUNCT
cana-790	221	34	richard	richard	PROPN
cana-790	221	35	e.	e.	PROPN
cana-790	221	36	hillman	hillman	PROPN
cana-790	221	37	,	,	PUNCT
cana-790	221	38	and	and	CCONJ
cana-790	221	39	janet	janet	PROPN
cana-790	221	40	e.	e.	PROPN
cana-790	221	41	farmer	farmer	PROPN
cana-790	221	42	.	.	PUNCT
cana-790	222	1	“	"	PUNCT
cana-790	222	2	development	development	NOUN
cana-790	222	3	and	and	CCONJ
cana-790	222	4	validation	validation	NOUN
cana-790	222	5	of	of	ADP
cana-790	222	6	a	a	DET
cana-790	222	7	measure	measure	NOUN
cana-790	222	8	of	of	ADP
cana-790	222	9	dysmorphology	dysmorphology	NOUN
cana-790	222	10	:	:	PUNCT
cana-790	222	11	useful	useful	ADJ
cana-790	222	12	for	for	ADP
cana-790	222	13	autism	autism	NOUN
cana-790	222	14	subgroup	subgroup	NOUN
cana-790	222	15	classification	classification	NOUN
cana-790	222	16	.	.	PUNCT
cana-790	222	17	”	"	PUNCT
cana-790	223	1	american	american	PROPN
cana-790	223	2	journal	journal	PROPN
cana-790	223	3	of	of	ADP
cana-790	223	4	medical	medical	ADJ
cana-790	223	5	genetics	genetic	NOUN
cana-790	223	6	part	part	NOUN
cana-790	223	7	a	a	DET
cana-790	223	8	146	146	NUM
cana-790	223	9	,	,	PUNCT
cana-790	223	10	no	no	INTJ
cana-790	223	11	.	.	NOUN
cana-790	223	12	9	9	NUM
cana-790	223	13	(	(	PUNCT
cana-790	223	14	2008	2008	NUM
cana-790	223	15	):	):	PUNCT
cana-790	223	16	1101	1101	NUM
cana-790	223	17	-	-	SYM
cana-790	223	18	1116	1116	NUM
cana-790	223	19	.	.	PUNCT
cana-790	224	1	[	[	X
cana-790	224	2	10	10	NUM
cana-790	224	3	]	]	X
cana-790	224	4	moridian	moridian	NOUN
cana-790	224	5	,	,	PUNCT
cana-790	224	6	parisa	parisa	PROPN
cana-790	224	7	,	,	PUNCT
cana-790	224	8	navid	navid	PROPN
cana-790	224	9	ghassemi	ghassemi	PROPN
cana-790	224	10	,	,	PUNCT
cana-790	224	11	mahboobeh	mahboobeh	PROPN
cana-790	224	12	jafari	jafari	PROPN
cana-790	224	13	,	,	PUNCT
cana-790	224	14	salam	salam	PROPN
cana-790	224	15	salloum	salloum	PROPN
cana-790	224	16	-	-	PUNCT
cana-790	224	17	asfar	asfar	ADV
cana-790	224	18	,	,	PUNCT
cana-790	224	19	delaram	delaram	PROPN
cana-790	224	20	sadeghi	sadeghi	PROPN
cana-790	224	21	,	,	PUNCT
cana-790	224	22	marjane	marjane	ADJ
cana-790	224	23	khodatars	khodatar	NOUN
cana-790	224	24	,	,	PUNCT
cana-790	224	25	afshin	afshin	PROPN
cana-790	224	26	shoeibi	shoeibi	PROPN
cana-790	224	27	et	et	PROPN
cana-790	224	28	al	al	PROPN
cana-790	224	29	.	.	PUNCT
cana-790	225	1	"	"	PUNCT
cana-790	225	2	automatic	automatic	ADJ
cana-790	225	3	autism	autism	NOUN
cana-790	225	4	spectrum	spectrum	NOUN
cana-790	225	5	disorder	disorder	NOUN
cana-790	225	6	detection	detection	NOUN
cana-790	225	7	using	use	VERB
cana-790	225	8	artificial	artificial	ADJ
cana-790	225	9	intelligence	intelligence	NOUN
cana-790	225	10	methods	method	NOUN
cana-790	225	11	with	with	ADP
cana-790	225	12	mri	mri	NOUN
cana-790	225	13	neuroimaging	neuroimaging	NOUN
cana-790	225	14	:	:	PUNCT
cana-790	225	15	a	a	DET
cana-790	225	16	review	review	NOUN
cana-790	225	17	.	.	PUNCT
cana-790	225	18	"	"	PUNCT
cana-790	226	1	frontiers	frontier	NOUN
cana-790	226	2	in	in	ADP
cana-790	226	3	molecular	molecular	ADJ
cana-790	226	4	neuroscience	neuroscience	NOUN
cana-790	226	5	15	15	NUM
cana-790	226	6	(	(	PUNCT
cana-790	226	7	2022	2022	NUM
cana-790	226	8	):	):	PUNCT
cana-790	226	9	999605	999605	NUM
cana-790	226	10	.	.	PUNCT
cana-790	227	1	[	[	X
cana-790	227	2	11	11	NUM
cana-790	227	3	]	]	X
cana-790	227	4	mujeeb	mujeeb	PROPN
cana-790	227	5	rahman	rahman	PROPN
cana-790	227	6	,	,	PUNCT
cana-790	227	7	k.	k.	PROPN
cana-790	227	8	k.	k.	PROPN
cana-790	227	9	,	,	PUNCT
cana-790	227	10	and	and	CCONJ
cana-790	227	11	m.	m.	NOUN
cana-790	227	12	monica	monica	PROPN
cana-790	227	13	subashini	subashini	PROPN
cana-790	227	14	.	.	PUNCT
cana-790	228	1	“	"	PUNCT
cana-790	228	2	identification	identification	NOUN
cana-790	228	3	of	of	ADP
cana-790	228	4	autism	autism	NOUN
cana-790	228	5	in	in	ADP
cana-790	228	6	children	child	NOUN
cana-790	228	7	using	use	VERB
cana-790	228	8	static	static	ADJ
cana-790	228	9	facial	facial	ADJ
cana-790	228	10	features	feature	NOUN
cana-790	228	11	and	and	CCONJ
cana-790	228	12	deep	deep	ADJ
cana-790	228	13	neural	neural	ADJ
cana-790	228	14	networks	network	NOUN
cana-790	228	15	.	.	PUNCT
cana-790	228	16	”	"	PUNCT
cana-790	229	1	brain	brain	NOUN
cana-790	229	2	sciences	science	NOUN
cana-790	229	3	12	12	NUM
cana-790	229	4	,	,	PUNCT
cana-790	229	5	no	no	INTJ
cana-790	229	6	.	.	NOUN
cana-790	229	7	1	1	NUM
cana-790	229	8	(	(	PUNCT
cana-790	229	9	2022	2022	NUM
cana-790	229	10	):	):	PUNCT
cana-790	229	11	94	94	NUM
cana-790	229	12	.	.	PUNCT
cana-790	230	1	communications	communication	NOUN
cana-790	230	2	on	on	ADP
cana-790	230	3	applied	apply	VERB
cana-790	230	4	nonlinear	nonlinear	ADJ
cana-790	230	5	analysis	analysis	NOUN
cana-790	230	6	issn	issn	NOUN
cana-790	230	7	:	:	PUNCT
cana-790	230	8	1074	1074	NUM
cana-790	230	9	-	-	PUNCT
cana-790	230	10	133x	133x	NUM
cana-790	230	11	vol	vol	NOUN
cana-790	230	12	31	31	NUM
cana-790	230	13	no	no	NOUN
cana-790	230	14	.	.	PUNCT
cana-790	231	1	3s	3s	NUM
cana-790	231	2	(	(	PUNCT
cana-790	231	3	2024	2024	NUM
cana-790	231	4	)	)	PUNCT
cana-790	231	5	418	418	NUM
cana-790	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-790	232	1	[	[	X
cana-790	232	2	12	12	NUM
cana-790	232	3	]	]	PUNCT
cana-790	232	4	praba	praba	NOUN
cana-790	232	5	,	,	PUNCT
cana-790	232	6	b	b	NOUN
cana-790	232	7	;	;	PUNCT
cana-790	232	8	balambal	balambal	PROPN
cana-790	232	9	suryanarayanan	suryanarayanan	PROPN
cana-790	232	10	;	;	PUNCT
cana-790	232	11	d.	d.	PROPN
cana-790	232	12	nagarajan	nagarajan	PROPN
cana-790	232	13	;	;	PUNCT
cana-790	232	14	and	and	CCONJ
cana-790	232	15	said	say	VERB
cana-790	232	16	broumi	broumi	NOUN
cana-790	232	17	.	.	PUNCT
cana-790	233	1	“	"	PUNCT
cana-790	233	2	analysis	analysis	NOUN
cana-790	233	3	of	of	ADP
cana-790	233	4	teaching	teaching	NOUN
cana-790	233	5	-	-	PUNCT
cana-790	233	6	learning	learn	VERB
cana-790	233	7	efficiency	efficiency	NOUN
cana-790	233	8	using	use	VERB
cana-790	233	9	attribute	attribute	NOUN
cana-790	233	10	based	base	VERB
cana-790	233	11	double	double	ADV
cana-790	233	12	bounded	bound	VERB
cana-790	233	13	rough	rough	ADJ
cana-790	233	14	neutrosophic	neutrosophic	ADJ
cana-790	233	15	set	set	NOUN
cana-790	233	16	driven	drive	VERB
cana-790	233	17	random	random	ADJ
cana-790	233	18	forests	forest	NOUN
cana-790	233	19	.	.	PUNCT
cana-790	233	20	”	"	PUNCT
cana-790	234	1	neutrosophic	neutrosophic	ADJ
cana-790	234	2	sets	set	NOUN
cana-790	234	3	and	and	CCONJ
cana-790	234	4	systems	system	NOUN
cana-790	234	5	55	55	NUM
cana-790	234	6	,	,	PUNCT
cana-790	234	7	1	1	NUM
cana-790	234	8	(	(	PUNCT
cana-790	234	9	2023	2023	NUM
cana-790	234	10	)	)	PUNCT
cana-790	234	11	.	.	PUNCT
cana-790	235	1	[	[	X
cana-790	235	2	13	13	NUM
cana-790	235	3	]	]	X
cana-790	235	4	praba	praba	PROPN
cana-790	235	5	,	,	PUNCT
cana-790	235	6	b.	b.	PROPN
cana-790	235	7	,	,	PUNCT
cana-790	235	8	s.	s.	PROPN
cana-790	235	9	pooja	pooja	PROPN
cana-790	235	10	,	,	PUNCT
cana-790	235	11	and	and	CCONJ
cana-790	235	12	nethraa	nethraa	PROPN
cana-790	235	13	sivakumar	sivakumar	PROPN
cana-790	235	14	.	.	PUNCT
cana-790	236	1	“	"	PUNCT
cana-790	236	2	attribute	attribute	NOUN
cana-790	236	3	based	base	VERB
cana-790	236	4	double	double	ADV
cana-790	236	5	bounded	bound	VERB
cana-790	236	6	rough	rough	ADJ
cana-790	236	7	neutrosophic	neutrosophic	ADJ
cana-790	236	8	sets	set	NOUN
cana-790	236	9	in	in	ADP
cana-790	236	10	facial	facial	ADJ
cana-790	236	11	expression	expression	NOUN
cana-790	236	12	detection	detection	NOUN
cana-790	236	13	.	.	PUNCT
cana-790	236	14	”	"	PUNCT
cana-790	237	1	neutrosophic	neutrosophic	ADJ
cana-790	237	2	sets	set	NOUN
cana-790	237	3	and	and	CCONJ
cana-790	237	4	systems	system	NOUN
cana-790	237	5	49	49	NUM
cana-790	237	6	(	(	PUNCT
cana-790	237	7	2022	2022	NUM
cana-790	237	8	):	):	PUNCT
cana-790	237	9	324	324	NUM
cana-790	237	10	-	-	SYM
cana-790	237	11	340	340	NUM
cana-790	237	12	.	.	PUNCT
cana-790	238	1	[	[	X
cana-790	238	2	14	14	NUM
cana-790	238	3	]	]	X
cana-790	238	4	praveena	praveena	NOUN
cana-790	238	5	,	,	PUNCT
cana-790	238	6	t.	t.	NOUN
cana-790	238	7	lakshmi	lakshmi	NOUN
cana-790	238	8	,	,	PUNCT
cana-790	238	9	and	and	CCONJ
cana-790	238	10	nv	nv	PROPN
cana-790	238	11	muthu	muthu	PROPN
cana-790	238	12	lakshmi	lakshmi	PROPN
cana-790	238	13	.	.	PUNCT
cana-790	239	1	"	"	PUNCT
cana-790	239	2	perception	perception	NOUN
cana-790	239	3	of	of	ADP
cana-790	239	4	autism	autism	NOUN
cana-790	239	5	spectrum	spectrum	NOUN
cana-790	239	6	disorder	disorder	NOUN
cana-790	239	7	children	child	NOUN
cana-790	239	8	by	by	ADP
cana-790	239	9	envisaging	envisage	VERB
cana-790	239	10	emotions	emotion	NOUN
cana-790	239	11	from	from	ADP
cana-790	239	12	the	the	DET
cana-790	239	13	facial	facial	ADJ
cana-790	239	14	images	image	NOUN
cana-790	239	15	.	.	PUNCT
cana-790	239	16	"	"	PUNCT
cana-790	240	1	international	international	ADJ
cana-790	240	2	journal	journal	NOUN
cana-790	240	3	of	of	ADP
cana-790	240	4	engineering	engineering	NOUN
cana-790	240	5	and	and	CCONJ
cana-790	240	6	advanced	advanced	ADJ
cana-790	240	7	technology	technology	NOUN
cana-790	240	8	(	(	PUNCT
cana-790	240	9	ijeat	ijeat	NOUN
cana-790	240	10	)	)	PUNCT
cana-790	240	11	10	10	NUM
cana-790	240	12	,	,	PUNCT
cana-790	240	13	no	no	INTJ
cana-790	240	14	.	.	NOUN
cana-790	240	15	2	2	NUM
cana-790	240	16	(	(	PUNCT
cana-790	240	17	2020	2020	NUM
cana-790	240	18	)	)	PUNCT
cana-790	240	19	.	.	PUNCT
cana-790	241	1	[	[	X
cana-790	241	2	15	15	NUM
cana-790	241	3	]	]	X
cana-790	241	4	ramachandran	ramachandran	PROPN
cana-790	241	5	,	,	PUNCT
cana-790	241	6	vilayanur	vilayanur	PROPN
cana-790	241	7	s.	s.	PROPN
cana-790	241	8	,	,	PUNCT
cana-790	241	9	and	and	CCONJ
cana-790	241	10	diane	diane	NOUN
cana-790	241	11	rogers	rogers	PROPN
cana-790	241	12	-	-	PUNCT
cana-790	241	13	ramachandran	ramachandran	PROPN
cana-790	241	14	.	.	PUNCT
cana-790	242	1	"	"	PUNCT
cana-790	242	2	synaesthesia	synaesthesia	NOUN
cana-790	242	3	in	in	ADP
cana-790	242	4	phantom	phantom	ADJ
cana-790	242	5	limbs	limb	NOUN
cana-790	242	6	induced	induce	VERB
cana-790	242	7	with	with	ADP
cana-790	242	8	mirrors	mirror	NOUN
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cana-790	242	10	"	"	PUNCT
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cana-790	243	2	of	of	ADP
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cana-790	244	7	,	,	PUNCT
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cana-790	244	11	(	(	PUNCT
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cana-790	250	1	[	[	X
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cana-790	251	1	[	[	X
cana-790	251	2	19	19	NUM
cana-790	251	3	]	]	PUNCT
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cana-790	252	1	[	[	X
cana-790	252	2	20	20	NUM
cana-790	252	3	]	]	X
cana-790	252	4	https://www.medicalnewstoday.com/articles/325106#levels-of-autism	https://www.medicalnewstoday.com/articles/325106#levels-of-autism	PROPN
cana-790	252	5	https://www.spectrumnews.org/news/people-autism-sometimes-give-ambiguous-looks/	https://www.spectrumnews.org/news/people-autism-sometimes-give-ambiguous-looks/	PROPN
cana-790	252	6	https://www.abtaba.com/blog/autism-facial-expressions	https://www.abtaba.com/blog/autism-facial-expressions	PROPN
cana-790	252	7	https://www.medicalnewstoday.com/articles/325106#levels-of-autism	https://www.medicalnewstoday.com/articles/325106#levels-of-autism	PROPN
