id	sid	tid	token	lemma	pos
ajset-592	1	1	060906	060906	NUM
ajset-592	1	2	-	-	PUNCT
ajset-592	1	3	mf604	mf604	ADJ
ajset-592	1	4	academic	academic	ADJ
ajset-592	1	5	journal	journal	NOUN
ajset-592	1	6	of	of	ADP
ajset-592	1	7	engineering	engineering	NOUN
ajset-592	1	8	and	and	CCONJ
ajset-592	1	9	technology	technology	NOUN
ajset-592	1	10	science.docx	science.docx	PROPN
ajset-592	1	11	academic	academic	ADJ
ajset-592	1	12	journal	journal	NOUN
ajset-592	1	13	of	of	ADP
ajset-592	1	14	science	science	NOUN
ajset-592	1	15	,	,	PUNCT
ajset-592	1	16	engineering	engineering	NOUN
ajset-592	1	17	and	and	CCONJ
ajset-592	1	18	technology	technology	NOUN
ajset-592	1	19	vol.7	vol.7	PROPN
ajset-592	1	20	,	,	PUNCT
ajset-592	1	21	issue	issue	NOUN
ajset-592	1	22	1	1	NUM
ajset-592	1	23	;	;	PUNCT
ajset-592	1	24	january	january	PROPN
ajset-592	1	25	febuary	febuary	PROPN
ajset-592	1	26	2022	2022	NUM
ajset-592	1	27	;	;	PUNCT
ajset-592	1	28	1252	1252	NUM
ajset-592	1	29	columbia	columbia	PROPN
ajset-592	1	30	rd	rd	PROPN
ajset-592	1	31	nw	nw	PROPN
ajset-592	1	32	,	,	PUNCT
ajset-592	1	33	washington	washington	PROPN
ajset-592	1	34	dc	dc	PROPN
ajset-592	1	35	,	,	PUNCT
ajset-592	1	36	united	united	PROPN
ajset-592	1	37	states	states	PROPN
ajset-592	1	38	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	1	39	;	;	PUNCT
ajset-592	1	40	mail	mail	NOUN
ajset-592	1	41	:	:	PUNCT
ajset-592	1	42	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	2	1	15	15	NUM
ajset-592	3	1	|	|	ADV
ajset-592	3	2	a	a	DET
ajset-592	3	3	c	c	NOUN
ajset-592	3	4	a	a	PRON
ajset-592	3	5	d	d	X
ajset-592	3	6	e	e	NOUN
ajset-592	3	7	m	m	NOUN
ajset-592	3	8	i	i	NOUN
ajset-592	3	9	c	c	NOUN
ajset-592	3	10	j	j	NOUN
ajset-592	3	11	o	o	X
ajset-592	3	12	u	u	NOUN
ajset-592	3	13	r	r	NOUN
ajset-592	3	14	n	n	NOUN
ajset-592	3	15	a	a	DET
ajset-592	3	16	l	l	NOUN
ajset-592	4	1	o	o	X
ajset-592	4	2	f	f	X
ajset-592	4	3	s	s	X
ajset-592	4	4	c	c	NOUN
ajset-592	5	1	i	i	NOUN
ajset-592	5	2	e	e	PROPN
ajset-592	5	3	n	n	PROPN
ajset-592	5	4	c	c	NOUN
ajset-592	5	5	e	e	X
ajset-592	5	6	,	,	PUNCT
ajset-592	5	7	e	e	PROPN
ajset-592	5	8	n	n	PRON
ajset-592	5	9	g	g	NOUN
ajset-592	5	10	i	i	PRON
ajset-592	5	11	n	n	VERB
ajset-592	5	12	e	e	NOUN
ajset-592	5	13	e	e	NOUN
ajset-592	5	14	r	r	VERB
ajset-592	5	15	i	i	PRON
ajset-592	5	16	n	n	CCONJ
ajset-592	5	17	g	g	PROPN
ajset-592	5	18	a	a	DET
ajset-592	5	19	n	n	NOUN
ajset-592	5	20	d	d	NOUN
ajset-592	5	21	t	t	NOUN
ajset-592	5	22	e	e	X
ajset-592	5	23	c	c	NOUN
ajset-592	5	24	h	h	NOUN
ajset-592	5	25	n	n	ADV
ajset-592	5	26	o	o	NOUN
ajset-592	5	27	l	l	NOUN
ajset-592	6	1	o	o	X
ajset-592	6	2	g	g	NOUN
ajset-592	6	3	y	y	PROPN
ajset-592	6	4	|	|	ADV
ajset-592	6	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	6	6	deep	deep	ADJ
ajset-592	6	7	koopman	koopman	PROPN
ajset-592	6	8	neural	neural	ADJ
ajset-592	6	9	networks	network	NOUN
ajset-592	6	10	for	for	ADP
ajset-592	6	11	nonlinear	nonlinear	ADJ
ajset-592	6	12	process	process	NOUN
ajset-592	6	13	monitoring	monitoring	NOUN
ajset-592	6	14	in	in	ADP
ajset-592	6	15	stochastic	stochastic	ADJ
ajset-592	6	16	production	production	NOUN
ajset-592	6	17	systems	system	NOUN
ajset-592	6	18	song	song	NOUN
ajset-592	6	19	,	,	PUNCT
ajset-592	6	20	yu	yu	PROPN
ajset-592	6	21	-	-	PROPN
ajset-592	6	22	jie	jie	PROPN
ajset-592	6	23	and	and	CCONJ
ajset-592	6	24	ma	ma	PROPN
ajset-592	6	25	,	,	PUNCT
ajset-592	6	26	jian	jian	PROPN
ajset-592	6	27	-	-	PUNCT
ajset-592	6	28	guo	guo	PROPN
ajset-592	6	29	east	east	PROPN
ajset-592	6	30	china	china	PROPN
ajset-592	6	31	university	university	PROPN
ajset-592	6	32	of	of	ADP
ajset-592	6	33	science	science	NOUN
ajset-592	6	34	and	and	CCONJ
ajset-592	6	35	technology	technology	NOUN
ajset-592	6	36	,	,	PUNCT
ajset-592	6	37	shanghai	shanghai	PROPN
ajset-592	6	38	,	,	PUNCT
ajset-592	6	39	china	china	PROPN
ajset-592	6	40	abstract	abstract	PROPN
ajset-592	6	41	:	:	PUNCT
ajset-592	6	42	stochastic	stochastic	ADJ
ajset-592	6	43	production	production	NOUN
ajset-592	6	44	systems	system	NOUN
ajset-592	6	45	(	(	PUNCT
ajset-592	6	46	sps	sps	PROPN
ajset-592	6	47	)	)	PUNCT
ajset-592	6	48	play	play	VERB
ajset-592	6	49	a	a	DET
ajset-592	6	50	pivotal	pivotal	ADJ
ajset-592	6	51	role	role	NOUN
ajset-592	6	52	in	in	ADP
ajset-592	6	53	industries	industry	NOUN
ajset-592	6	54	such	such	ADJ
ajset-592	6	55	as	as	ADP
ajset-592	6	56	fermentation	fermentation	NOUN
ajset-592	6	57	,	,	PUNCT
ajset-592	6	58	pharmaceuticals	pharmaceutical	NOUN
ajset-592	6	59	,	,	PUNCT
ajset-592	6	60	and	and	CCONJ
ajset-592	6	61	composite	composite	ADJ
ajset-592	6	62	material	material	NOUN
ajset-592	6	63	production	production	NOUN
ajset-592	6	64	,	,	PUNCT
ajset-592	6	65	where	where	SCONJ
ajset-592	6	66	stringent	stringent	ADJ
ajset-592	6	67	quality	quality	NOUN
ajset-592	6	68	constraints	constraint	NOUN
ajset-592	6	69	are	be	AUX
ajset-592	6	70	paramount	paramount	ADJ
ajset-592	6	71	.	.	PUNCT
ajset-592	7	1	to	to	PART
ajset-592	7	2	ensure	ensure	VERB
ajset-592	7	3	product	product	NOUN
ajset-592	7	4	quality	quality	NOUN
ajset-592	7	5	in	in	ADP
ajset-592	7	6	such	such	ADJ
ajset-592	7	7	systems	system	NOUN
ajset-592	7	8	,	,	PUNCT
ajset-592	7	9	effective	effective	ADJ
ajset-592	7	10	process	process	NOUN
ajset-592	7	11	monitoring	monitoring	NOUN
ajset-592	7	12	is	be	AUX
ajset-592	7	13	imperative	imperative	ADJ
ajset-592	7	14	.	.	PUNCT
ajset-592	8	1	however	however	ADV
ajset-592	8	2	,	,	PUNCT
ajset-592	8	3	sps	sps	PROPN
ajset-592	8	4	presents	present	VERB
ajset-592	8	5	significant	significant	ADJ
ajset-592	8	6	challenges	challenge	NOUN
ajset-592	8	7	due	due	ADP
ajset-592	8	8	to	to	ADP
ajset-592	8	9	its	its	PRON
ajset-592	8	10	inherent	inherent	ADJ
ajset-592	8	11	stochasticity	stochasticity	NOUN
ajset-592	8	12	and	and	CCONJ
ajset-592	8	13	measurement	measurement	NOUN
ajset-592	8	14	uncertainties	uncertainty	NOUN
ajset-592	8	15	,	,	PUNCT
ajset-592	8	16	stemming	stem	VERB
ajset-592	8	17	from	from	ADP
ajset-592	8	18	sensitivity	sensitivity	NOUN
ajset-592	8	19	to	to	ADP
ajset-592	8	20	exogenous	exogenous	ADJ
ajset-592	8	21	factors	factor	NOUN
ajset-592	8	22	and	and	CCONJ
ajset-592	8	23	the	the	DET
ajset-592	8	24	lack	lack	NOUN
ajset-592	8	25	of	of	ADP
ajset-592	8	26	accurate	accurate	ADJ
ajset-592	8	27	in	in	ADP
ajset-592	8	28	-	-	PUNCT
ajset-592	8	29	situ	situ	ADJ
ajset-592	8	30	measurements	measurement	NOUN
ajset-592	8	31	.	.	PUNCT
ajset-592	9	1	this	this	DET
ajset-592	9	2	paper	paper	NOUN
ajset-592	9	3	explores	explore	VERB
ajset-592	9	4	the	the	DET
ajset-592	9	5	landscape	landscape	NOUN
ajset-592	9	6	of	of	ADP
ajset-592	9	7	sps	sps	NOUN
ajset-592	9	8	process	process	NOUN
ajset-592	9	9	monitoring	monitoring	NOUN
ajset-592	9	10	methods	method	NOUN
ajset-592	9	11	,	,	PUNCT
ajset-592	9	12	highlighting	highlight	VERB
ajset-592	9	13	their	their	PRON
ajset-592	9	14	limitations	limitation	NOUN
ajset-592	9	15	and	and	CCONJ
ajset-592	9	16	proposing	propose	VERB
ajset-592	9	17	a	a	DET
ajset-592	9	18	novel	novel	ADJ
ajset-592	9	19	approach	approach	NOUN
ajset-592	9	20	leveraging	leverage	VERB
ajset-592	9	21	recurrent	recurrent	ADJ
ajset-592	9	22	neural	neural	ADJ
ajset-592	9	23	networks	network	NOUN
ajset-592	9	24	(	(	PUNCT
ajset-592	9	25	rnns	rnns	PROPN
ajset-592	9	26	)	)	PUNCT
ajset-592	9	27	,	,	PUNCT
ajset-592	9	28	particularly	particularly	ADV
ajset-592	9	29	long	long	ADJ
ajset-592	9	30	short	short	ADJ
ajset-592	9	31	-	-	PUNCT
ajset-592	9	32	term	term	NOUN
ajset-592	9	33	memory	memory	NOUN
ajset-592	9	34	(	(	PUNCT
ajset-592	9	35	lstm	lstm	NOUN
ajset-592	9	36	)	)	PUNCT
ajset-592	9	37	networks	network	NOUN
ajset-592	9	38	.	.	PUNCT
ajset-592	10	1	keywords	keyword	NOUN
ajset-592	10	2	:	:	PUNCT
ajset-592	10	3	stochastic	stochastic	ADJ
ajset-592	10	4	production	production	NOUN
ajset-592	10	5	system	system	NOUN
ajset-592	10	6	,	,	PUNCT
ajset-592	10	7	process	process	NOUN
ajset-592	10	8	monitoring	monitoring	NOUN
ajset-592	10	9	,	,	PUNCT
ajset-592	10	10	recurrent	recurrent	ADJ
ajset-592	10	11	neural	neural	ADJ
ajset-592	10	12	networks	network	NOUN
ajset-592	10	13	,	,	PUNCT
ajset-592	10	14	long	long	ADJ
ajset-592	10	15	short	short	ADJ
ajset-592	10	16	-	-	PUNCT
ajset-592	10	17	term	term	NOUN
ajset-592	10	18	memory	memory	NOUN
ajset-592	10	19	,	,	PUNCT
ajset-592	10	20	quality	quality	NOUN
ajset-592	10	21	constraints	constraint	NOUN
ajset-592	10	22	.	.	PUNCT
ajset-592	11	1	introduction	introduction	NOUN
ajset-592	11	2	:	:	PUNCT
ajset-592	11	3	stochastic	stochastic	ADJ
ajset-592	11	4	production	production	NOUN
ajset-592	11	5	systems	system	NOUN
ajset-592	11	6	(	(	PUNCT
ajset-592	11	7	sps	sps	PROPN
ajset-592	11	8	)	)	PUNCT
ajset-592	11	9	have	have	AUX
ajset-592	11	10	found	find	VERB
ajset-592	11	11	applications	application	NOUN
ajset-592	11	12	in	in	ADP
ajset-592	11	13	diverse	diverse	ADJ
ajset-592	11	14	fields	field	NOUN
ajset-592	11	15	,	,	PUNCT
ajset-592	11	16	including	include	VERB
ajset-592	11	17	fermentation	fermentation	NOUN
ajset-592	11	18	,	,	PUNCT
ajset-592	11	19	pharmaceuticals	pharmaceutical	NOUN
ajset-592	11	20	,	,	PUNCT
ajset-592	11	21	and	and	CCONJ
ajset-592	11	22	composite	composite	ADJ
ajset-592	11	23	material	material	NOUN
ajset-592	11	24	production	production	NOUN
ajset-592	11	25	[	[	X
ajset-592	11	26	1]-[7	1]-[7	X
ajset-592	11	27	]	]	X
ajset-592	11	28	.	.	PUNCT
ajset-592	12	1	these	these	DET
ajset-592	12	2	applications	application	NOUN
ajset-592	12	3	demand	demand	VERB
ajset-592	12	4	stringent	stringent	ADJ
ajset-592	12	5	quality	quality	NOUN
ajset-592	12	6	control	control	NOUN
ajset-592	12	7	measures	measure	NOUN
ajset-592	12	8	to	to	PART
ajset-592	12	9	ensure	ensure	VERB
ajset-592	12	10	the	the	DET
ajset-592	12	11	desired	desire	VERB
ajset-592	12	12	product	product	NOUN
ajset-592	12	13	quality	quality	NOUN
ajset-592	12	14	.	.	PUNCT
ajset-592	13	1	however	however	ADV
ajset-592	13	2	,	,	PUNCT
ajset-592	13	3	sps	sps	PROPN
ajset-592	13	4	presents	present	VERB
ajset-592	13	5	unique	unique	ADJ
ajset-592	13	6	challenges	challenge	NOUN
ajset-592	13	7	for	for	ADP
ajset-592	13	8	process	process	NOUN
ajset-592	13	9	monitoring	monitoring	NOUN
ajset-592	13	10	due	due	ADP
ajset-592	13	11	to	to	ADP
ajset-592	13	12	its	its	PRON
ajset-592	13	13	inherent	inherent	ADJ
ajset-592	13	14	stochastic	stochastic	ADJ
ajset-592	13	15	nature	nature	NOUN
ajset-592	13	16	and	and	CCONJ
ajset-592	13	17	measurement	measurement	NOUN
ajset-592	13	18	uncertainties	uncertainty	NOUN
ajset-592	13	19	,	,	PUNCT
ajset-592	13	20	making	make	VERB
ajset-592	13	21	effective	effective	ADJ
ajset-592	13	22	quality	quality	NOUN
ajset-592	13	23	control	control	NOUN
ajset-592	13	24	a	a	DET
ajset-592	13	25	complex	complex	ADJ
ajset-592	13	26	endeavor	endeavor	NOUN
ajset-592	13	27	.	.	PUNCT
ajset-592	14	1	this	this	DET
ajset-592	14	2	introduction	introduction	NOUN
ajset-592	14	3	sets	set	VERB
ajset-592	14	4	the	the	DET
ajset-592	14	5	stage	stage	NOUN
ajset-592	14	6	for	for	ADP
ajset-592	14	7	the	the	DET
ajset-592	14	8	exploration	exploration	NOUN
ajset-592	14	9	of	of	ADP
ajset-592	14	10	process	process	NOUN
ajset-592	14	11	monitoring	monitoring	NOUN
ajset-592	14	12	methods	method	NOUN
ajset-592	14	13	in	in	ADP
ajset-592	14	14	sps	sps	PROPN
ajset-592	14	15	,	,	PUNCT
ajset-592	14	16	emphasizing	emphasize	VERB
ajset-592	14	17	the	the	DET
ajset-592	14	18	need	need	NOUN
ajset-592	14	19	for	for	ADP
ajset-592	14	20	innovative	innovative	ADJ
ajset-592	14	21	approaches	approach	NOUN
ajset-592	14	22	.	.	PUNCT
ajset-592	15	1	sps	sps	NOUN
ajset-592	15	2	exhibits	exhibit	VERB
ajset-592	15	3	significant	significant	ADJ
ajset-592	15	4	intrinsic	intrinsic	ADJ
ajset-592	15	5	stochasticity	stochasticity	NOUN
ajset-592	15	6	,	,	PUNCT
ajset-592	15	7	primarily	primarily	ADV
ajset-592	15	8	attributed	attribute	VERB
ajset-592	15	9	to	to	ADP
ajset-592	15	10	its	its	PRON
ajset-592	15	11	sensitivity	sensitivity	NOUN
ajset-592	15	12	to	to	ADP
ajset-592	15	13	various	various	ADJ
ajset-592	15	14	exogenous	exogenous	ADJ
ajset-592	15	15	factors	factor	NOUN
ajset-592	15	16	such	such	ADJ
ajset-592	15	17	as	as	ADP
ajset-592	15	18	input	input	NOUN
ajset-592	15	19	variations	variation	NOUN
ajset-592	15	20	,	,	PUNCT
ajset-592	15	21	environmental	environmental	ADJ
ajset-592	15	22	conditions	condition	NOUN
ajset-592	15	23	,	,	PUNCT
ajset-592	15	24	and	and	CCONJ
ajset-592	15	25	equipment	equipment	NOUN
ajset-592	15	26	status	status	NOUN
ajset-592	15	27	.	.	PUNCT
ajset-592	16	1	these	these	DET
ajset-592	16	2	factors	factor	NOUN
ajset-592	16	3	can	can	AUX
ajset-592	16	4	introduce	introduce	VERB
ajset-592	16	5	substantial	substantial	ADJ
ajset-592	16	6	variability	variability	NOUN
ajset-592	16	7	in	in	ADP
ajset-592	16	8	the	the	DET
ajset-592	16	9	quality	quality	NOUN
ajset-592	16	10	and	and	CCONJ
ajset-592	16	11	performance	performance	NOUN
ajset-592	16	12	of	of	ADP
ajset-592	16	13	the	the	DET
ajset-592	16	14	final	final	ADJ
ajset-592	16	15	product	product	NOUN
ajset-592	16	16	.	.	PUNCT
ajset-592	17	1	moreover	moreover	ADV
ajset-592	17	2	,	,	PUNCT
ajset-592	17	3	the	the	DET
ajset-592	17	4	lack	lack	NOUN
ajset-592	17	5	of	of	ADP
ajset-592	17	6	accurate	accurate	ADJ
ajset-592	17	7	in	in	ADP
ajset-592	17	8	-	-	PUNCT
ajset-592	17	9	situ	situ	NOUN
ajset-592	17	10	measurement	measurement	NOUN
ajset-592	17	11	methods	method	NOUN
ajset-592	17	12	adds	add	VERB
ajset-592	17	13	an	an	DET
ajset-592	17	14	extra	extra	ADJ
ajset-592	17	15	layer	layer	NOUN
ajset-592	17	16	of	of	ADP
ajset-592	17	17	noise	noise	NOUN
ajset-592	17	18	to	to	ADP
ajset-592	17	19	the	the	DET
ajset-592	17	20	available	available	ADJ
ajset-592	17	21	data	datum	NOUN
ajset-592	17	22	,	,	PUNCT
ajset-592	17	23	making	make	VERB
ajset-592	17	24	process	process	NOUN
ajset-592	17	25	monitoring	monitoring	NOUN
ajset-592	17	26	in	in	ADP
ajset-592	17	27	sps	sps	PROPN
ajset-592	17	28	indispensable	indispensable	ADJ
ajset-592	17	29	yet	yet	ADV
ajset-592	17	30	inherently	inherently	ADV
ajset-592	17	31	challenging	challenging	ADJ
ajset-592	17	32	.	.	PUNCT
ajset-592	18	1	over	over	ADP
ajset-592	18	2	the	the	DET
ajset-592	18	3	past	past	ADJ
ajset-592	18	4	few	few	ADJ
ajset-592	18	5	decades	decade	NOUN
ajset-592	18	6	,	,	PUNCT
ajset-592	18	7	researchers	researcher	NOUN
ajset-592	18	8	have	have	AUX
ajset-592	18	9	developed	develop	VERB
ajset-592	18	10	several	several	ADJ
ajset-592	18	11	methods	method	NOUN
ajset-592	18	12	for	for	ADP
ajset-592	18	13	sps	sps	NOUN
ajset-592	18	14	process	process	NOUN
ajset-592	18	15	monitoring	monitoring	NOUN
ajset-592	18	16	.	.	PUNCT
ajset-592	19	1	one	one	NUM
ajset-592	19	2	prevalent	prevalent	ADJ
ajset-592	19	3	approach	approach	NOUN
ajset-592	19	4	is	be	AUX
ajset-592	19	5	the	the	DET
ajset-592	19	6	application	application	NOUN
ajset-592	19	7	of	of	ADP
ajset-592	19	8	multiway	multiway	NOUN
ajset-592	19	9	principal	principal	ADJ
ajset-592	19	10	component	component	NOUN
ajset-592	19	11	analysis	analysis	NOUN
ajset-592	19	12	(	(	PUNCT
ajset-592	19	13	pca	pca	NOUN
ajset-592	19	14	)	)	PUNCT
ajset-592	20	1	[	[	X
ajset-592	20	2	8	8	NUM
ajset-592	20	3	]	]	PUNCT
ajset-592	20	4	.	.	PUNCT
ajset-592	21	1	while	while	SCONJ
ajset-592	21	2	this	this	DET
ajset-592	21	3	method	method	NOUN
ajset-592	21	4	offers	offer	VERB
ajset-592	21	5	simplicity	simplicity	NOUN
ajset-592	21	6	,	,	PUNCT
ajset-592	21	7	low	low	ADJ
ajset-592	21	8	-	-	PUNCT
ajset-592	21	9	dimensional	dimensional	ADJ
ajset-592	21	10	computation	computation	NOUN
ajset-592	21	11	,	,	PUNCT
ajset-592	21	12	and	and	CCONJ
ajset-592	21	13	fast	fast	ADJ
ajset-592	21	14	processing	processing	NOUN
ajset-592	21	15	of	of	ADP
ajset-592	21	16	high	high	ADJ
ajset-592	21	17	-	-	PUNCT
ajset-592	21	18	dimensional	dimensional	ADJ
ajset-592	21	19	data	datum	NOUN
ajset-592	21	20	,	,	PUNCT
ajset-592	21	21	it	it	PRON
ajset-592	21	22	is	be	AUX
ajset-592	21	23	inherently	inherently	ADV
ajset-592	21	24	linear	linear	ADJ
ajset-592	21	25	and	and	CCONJ
ajset-592	21	26	struggles	struggle	VERB
ajset-592	21	27	to	to	PART
ajset-592	21	28	capture	capture	VERB
ajset-592	21	29	nonlinear	nonlinear	ADJ
ajset-592	21	30	dynamics	dynamic	NOUN
ajset-592	21	31	—	—	PUNCT
ajset-592	21	32	a	a	DET
ajset-592	21	33	prevalent	prevalent	ADJ
ajset-592	21	34	feature	feature	NOUN
ajset-592	21	35	in	in	ADP
ajset-592	21	36	sps	sps	PROPN
ajset-592	21	37	.	.	PUNCT
ajset-592	22	1	to	to	PART
ajset-592	22	2	address	address	VERB
ajset-592	22	3	the	the	DET
ajset-592	22	4	limitations	limitation	NOUN
ajset-592	22	5	of	of	ADP
ajset-592	22	6	linear	linear	ADJ
ajset-592	22	7	methods	method	NOUN
ajset-592	22	8	,	,	PUNCT
ajset-592	22	9	researchers	researcher	NOUN
ajset-592	22	10	have	have	AUX
ajset-592	22	11	explored	explore	VERB
ajset-592	22	12	kernel	kernel	NOUN
ajset-592	22	13	methods	method	NOUN
ajset-592	22	14	,	,	PUNCT
ajset-592	22	15	which	which	PRON
ajset-592	22	16	map	map	VERB
ajset-592	22	17	data	datum	NOUN
ajset-592	22	18	into	into	ADP
ajset-592	22	19	high	high	ADJ
ajset-592	22	20	-	-	PUNCT
ajset-592	22	21	dimensional	dimensional	ADJ
ajset-592	22	22	feature	feature	NOUN
ajset-592	22	23	spaces	space	NOUN
ajset-592	22	24	where	where	SCONJ
ajset-592	22	25	linearity	linearity	NOUN
ajset-592	22	26	can	can	AUX
ajset-592	22	27	be	be	AUX
ajset-592	22	28	preserved	preserve	VERB
ajset-592	22	29	[	[	PUNCT
ajset-592	22	30	9	9	NUM
ajset-592	22	31	]	]	PUNCT
ajset-592	22	32	.	.	PUNCT
ajset-592	23	1	additionally	additionally	ADV
ajset-592	23	2	,	,	PUNCT
ajset-592	23	3	there	there	PRON
ajset-592	23	4	have	have	AUX
ajset-592	23	5	been	be	AUX
ajset-592	23	6	efforts	effort	NOUN
ajset-592	23	7	to	to	PART
ajset-592	23	8	enhance	enhance	VERB
ajset-592	23	9	independent	independent	ADJ
ajset-592	23	10	component	component	NOUN
ajset-592	23	11	analysis	analysis	NOUN
ajset-592	23	12	(	(	PUNCT
ajset-592	23	13	ica	ica	PROPN
ajset-592	23	14	)	)	PUNCT
ajset-592	23	15	methods	method	NOUN
ajset-592	23	16	[	[	X
ajset-592	23	17	10	10	NUM
ajset-592	23	18	]	]	PUNCT
ajset-592	23	19	,	,	PUNCT
ajset-592	23	20	propose	propose	VERB
ajset-592	23	21	novel	novel	ADJ
ajset-592	23	22	strategies	strategy	NOUN
ajset-592	23	23	like	like	ADP
ajset-592	23	24	the	the	DET
ajset-592	23	25	kernel	kernel	PROPN
ajset-592	23	26	icapca	icapca	PROPN
ajset-592	23	27	method	method	NOUN
ajset-592	23	28	[	[	X
ajset-592	23	29	11	11	NUM
ajset-592	23	30	]	]	PUNCT
ajset-592	23	31	,	,	PUNCT
ajset-592	23	32	and	and	CCONJ
ajset-592	23	33	develop	develop	VERB
ajset-592	23	34	multiway	multiway	PROPN
ajset-592	23	35	kernel	kernel	PROPN
ajset-592	23	36	entropy	entropy	PROPN
ajset-592	23	37	ica	ica	PROPN
ajset-592	23	38	methods	method	NOUN
ajset-592	23	39	[	[	X
ajset-592	23	40	12	12	NUM
ajset-592	23	41	]	]	PUNCT
ajset-592	23	42	.	.	PUNCT
ajset-592	24	1	these	these	DET
ajset-592	24	2	approaches	approach	NOUN
ajset-592	24	3	aim	aim	VERB
ajset-592	24	4	to	to	PART
ajset-592	24	5	capture	capture	VERB
ajset-592	24	6	the	the	DET
ajset-592	24	7	nonlinear	nonlinear	ADJ
ajset-592	24	8	and	and	CCONJ
ajset-592	24	9	non	non	ADJ
ajset-592	24	10	-	-	ADJ
ajset-592	24	11	gaussian	gaussian	ADJ
ajset-592	24	12	characteristics	characteristic	NOUN
ajset-592	24	13	inherent	inherent	ADJ
ajset-592	24	14	in	in	ADP
ajset-592	24	15	sps	sps	PROPN
ajset-592	24	16	data	data	PROPN
ajset-592	24	17	.	.	PUNCT
ajset-592	25	1	furthermore	furthermore	ADV
ajset-592	25	2	,	,	PUNCT
ajset-592	25	3	support	support	VERB
ajset-592	25	4	vector	vector	NOUN
ajset-592	25	5	machines	machine	NOUN
ajset-592	25	6	(	(	PUNCT
ajset-592	25	7	svm	svm	PROPN
ajset-592	25	8	)	)	PUNCT
ajset-592	25	9	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	25	10	academic	academic	ADJ
ajset-592	25	11	journal	journal	NOUN
ajset-592	25	12	of	of	ADP
ajset-592	25	13	science	science	NOUN
ajset-592	25	14	,	,	PUNCT
ajset-592	25	15	engineering	engineering	NOUN
ajset-592	25	16	and	and	CCONJ
ajset-592	25	17	technology	technology	NOUN
ajset-592	25	18	vol.7	vol.7	PROPN
ajset-592	25	19	,	,	PUNCT
ajset-592	25	20	issue	issue	NOUN
ajset-592	25	21	1	1	NUM
ajset-592	25	22	;	;	PUNCT
ajset-592	25	23	january	january	PROPN
ajset-592	25	24	febuary	febuary	PROPN
ajset-592	25	25	2022	2022	NUM
ajset-592	25	26	;	;	PUNCT
ajset-592	25	27	1252	1252	NUM
ajset-592	25	28	columbia	columbia	PROPN
ajset-592	25	29	rd	rd	PROPN
ajset-592	25	30	nw	nw	PROPN
ajset-592	25	31	,	,	PUNCT
ajset-592	25	32	washington	washington	PROPN
ajset-592	25	33	dc	dc	PROPN
ajset-592	25	34	,	,	PUNCT
ajset-592	25	35	united	united	PROPN
ajset-592	25	36	states	states	PROPN
ajset-592	25	37	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	25	38	;	;	PUNCT
ajset-592	25	39	mail	mail	NOUN
ajset-592	25	40	:	:	PUNCT
ajset-592	25	41	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	26	1	16	16	NUM
ajset-592	27	1	|	|	ADV
ajset-592	27	2	a	a	DET
ajset-592	27	3	c	c	NOUN
ajset-592	27	4	a	a	PRON
ajset-592	27	5	d	d	X
ajset-592	27	6	e	e	NOUN
ajset-592	27	7	m	m	NOUN
ajset-592	27	8	i	i	NOUN
ajset-592	27	9	c	c	NOUN
ajset-592	27	10	j	j	NOUN
ajset-592	27	11	o	o	X
ajset-592	27	12	u	u	NOUN
ajset-592	27	13	r	r	NOUN
ajset-592	27	14	n	n	NOUN
ajset-592	27	15	a	a	DET
ajset-592	27	16	l	l	NOUN
ajset-592	28	1	o	o	X
ajset-592	28	2	f	f	X
ajset-592	28	3	s	s	X
ajset-592	28	4	c	c	NOUN
ajset-592	29	1	i	i	NOUN
ajset-592	29	2	e	e	PROPN
ajset-592	29	3	n	n	PROPN
ajset-592	29	4	c	c	NOUN
ajset-592	29	5	e	e	X
ajset-592	29	6	,	,	PUNCT
ajset-592	29	7	e	e	PROPN
ajset-592	29	8	n	n	PRON
ajset-592	29	9	g	g	NOUN
ajset-592	29	10	i	i	PRON
ajset-592	29	11	n	n	VERB
ajset-592	29	12	e	e	NOUN
ajset-592	29	13	e	e	NOUN
ajset-592	29	14	r	r	VERB
ajset-592	29	15	i	i	PRON
ajset-592	29	16	n	n	CCONJ
ajset-592	29	17	g	g	PROPN
ajset-592	29	18	a	a	DET
ajset-592	29	19	n	n	NOUN
ajset-592	29	20	d	d	NOUN
ajset-592	29	21	t	t	NOUN
ajset-592	29	22	e	e	X
ajset-592	29	23	c	c	NOUN
ajset-592	29	24	h	h	NOUN
ajset-592	29	25	n	n	ADV
ajset-592	29	26	o	o	NOUN
ajset-592	29	27	l	l	NOUN
ajset-592	30	1	o	o	X
ajset-592	30	2	g	g	NOUN
ajset-592	30	3	y	y	PROPN
ajset-592	30	4	|	|	ADV
ajset-592	30	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	30	6	integrated	integrate	VERB
ajset-592	30	7	with	with	ADP
ajset-592	30	8	pca	pca	NOUN
ajset-592	30	9	or	or	CCONJ
ajset-592	30	10	fuzzy	fuzzy	ADJ
ajset-592	30	11	reasoning	reasoning	NOUN
ajset-592	30	12	have	have	AUX
ajset-592	30	13	been	be	AUX
ajset-592	30	14	employed	employ	VERB
ajset-592	30	15	for	for	ADP
ajset-592	30	16	anomaly	anomaly	NOUN
ajset-592	30	17	detection	detection	NOUN
ajset-592	30	18	in	in	ADP
ajset-592	30	19	sps	sps	PROPN
ajset-592	31	1	[	[	X
ajset-592	31	2	13	13	NUM
ajset-592	31	3	]	]	PUNCT
ajset-592	31	4	,	,	PUNCT
ajset-592	31	5	[	[	X
ajset-592	31	6	14	14	NUM
ajset-592	31	7	]	]	PUNCT
ajset-592	31	8	.	.	PUNCT
ajset-592	32	1	however	however	ADV
ajset-592	32	2	,	,	PUNCT
ajset-592	32	3	these	these	DET
ajset-592	32	4	methods	method	NOUN
ajset-592	32	5	have	have	VERB
ajset-592	32	6	limited	limit	VERB
ajset-592	32	7	capacity	capacity	NOUN
ajset-592	32	8	to	to	PART
ajset-592	32	9	handle	handle	VERB
ajset-592	32	10	heavy	heavy	ADJ
ajset-592	32	11	-	-	PUNCT
ajset-592	32	12	tailed	tail	VERB
ajset-592	32	13	and	and	CCONJ
ajset-592	32	14	multimodal	multimodal	NOUN
ajset-592	32	15	sps	sps	NOUN
ajset-592	32	16	data	datum	NOUN
ajset-592	32	17	,	,	PUNCT
ajset-592	32	18	and	and	CCONJ
ajset-592	32	19	their	their	PRON
ajset-592	32	20	hyperparameter	hyperparameter	NOUN
ajset-592	32	21	tuning	tuning	NOUN
ajset-592	32	22	can	can	AUX
ajset-592	32	23	be	be	AUX
ajset-592	32	24	cumbersome	cumbersome	ADJ
ajset-592	32	25	.	.	PUNCT
ajset-592	33	1	the	the	DET
ajset-592	33	2	universal	universal	ADJ
ajset-592	33	3	approximation	approximation	NOUN
ajset-592	33	4	theorem	theorem	NOUN
ajset-592	33	5	underscores	underscore	VERB
ajset-592	33	6	the	the	DET
ajset-592	33	7	potential	potential	NOUN
ajset-592	33	8	of	of	ADP
ajset-592	33	9	neural	neural	ADJ
ajset-592	33	10	networks	network	NOUN
ajset-592	33	11	to	to	PART
ajset-592	33	12	represent	represent	VERB
ajset-592	33	13	any	any	DET
ajset-592	33	14	function	function	NOUN
ajset-592	33	15	between	between	ADP
ajset-592	33	16	inputs	input	NOUN
ajset-592	33	17	and	and	CCONJ
ajset-592	33	18	outputs	output	NOUN
ajset-592	33	19	[	[	X
ajset-592	33	20	15	15	NUM
ajset-592	33	21	]	]	PUNCT
ajset-592	33	22	,	,	PUNCT
ajset-592	33	23	making	make	VERB
ajset-592	33	24	them	they	PRON
ajset-592	33	25	an	an	DET
ajset-592	33	26	attractive	attractive	ADJ
ajset-592	33	27	option	option	NOUN
ajset-592	33	28	for	for	ADP
ajset-592	33	29	sps	sps	NOUN
ajset-592	33	30	process	process	NOUN
ajset-592	33	31	monitoring	monitoring	NOUN
ajset-592	33	32	.	.	PUNCT
ajset-592	34	1	auto	auto	NOUN
ajset-592	34	2	-	-	PUNCT
ajset-592	34	3	associative	associative	NOUN
ajset-592	34	4	neural	neural	ADJ
ajset-592	34	5	networks	network	NOUN
ajset-592	34	6	[	[	X
ajset-592	34	7	16	16	NUM
ajset-592	34	8	]	]	PUNCT
ajset-592	34	9	,	,	PUNCT
ajset-592	34	10	[	[	X
ajset-592	34	11	17	17	NUM
ajset-592	34	12	]	]	PUNCT
ajset-592	34	13	and	and	CCONJ
ajset-592	34	14	deep	deep	ADJ
ajset-592	34	15	neural	neural	ADJ
ajset-592	34	16	networks	network	NOUN
ajset-592	35	1	[	[	X
ajset-592	35	2	18]-[22	18]-[22	X
ajset-592	35	3	]	]	X
ajset-592	35	4	have	have	AUX
ajset-592	35	5	been	be	AUX
ajset-592	35	6	extensively	extensively	ADV
ajset-592	35	7	explored	explore	VERB
ajset-592	35	8	for	for	ADP
ajset-592	35	9	this	this	DET
ajset-592	35	10	purpose	purpose	NOUN
ajset-592	35	11	.	.	PUNCT
ajset-592	36	1	however	however	ADV
ajset-592	36	2	,	,	PUNCT
ajset-592	36	3	these	these	DET
ajset-592	36	4	methods	method	NOUN
ajset-592	36	5	often	often	ADV
ajset-592	36	6	assume	assume	VERB
ajset-592	36	7	sample	sample	NOUN
ajset-592	36	8	independence	independence	NOUN
ajset-592	36	9	and	and	CCONJ
ajset-592	36	10	overlook	overlook	VERB
ajset-592	36	11	dynamic	dynamic	ADJ
ajset-592	36	12	correlations	correlation	NOUN
ajset-592	36	13	,	,	PUNCT
ajset-592	36	14	limiting	limit	VERB
ajset-592	36	15	their	their	PRON
ajset-592	36	16	effectiveness	effectiveness	NOUN
ajset-592	36	17	in	in	ADP
ajset-592	36	18	capturing	capture	VERB
ajset-592	36	19	the	the	DET
ajset-592	36	20	complexities	complexity	NOUN
ajset-592	36	21	of	of	ADP
ajset-592	36	22	sps	sps	PROPN
ajset-592	36	23	data	data	PROPN
ajset-592	36	24	.	.	PUNCT
ajset-592	37	1	recurrent	recurrent	ADJ
ajset-592	37	2	neural	neural	ADJ
ajset-592	37	3	networks	network	NOUN
ajset-592	37	4	(	(	PUNCT
ajset-592	37	5	rnns	rnns	PROPN
ajset-592	37	6	)	)	PUNCT
ajset-592	37	7	,	,	PUNCT
ajset-592	37	8	particularly	particularly	ADV
ajset-592	37	9	long	long	ADJ
ajset-592	37	10	short	short	ADJ
ajset-592	37	11	-	-	PUNCT
ajset-592	37	12	term	term	NOUN
ajset-592	37	13	memory	memory	NOUN
ajset-592	37	14	(	(	PUNCT
ajset-592	37	15	lstm	lstm	NOUN
ajset-592	37	16	)	)	PUNCT
ajset-592	37	17	networks	network	NOUN
ajset-592	38	1	[	[	X
ajset-592	38	2	23	23	NUM
ajset-592	38	3	]	]	PUNCT
ajset-592	38	4	,	,	PUNCT
ajset-592	38	5	offer	offer	VERB
ajset-592	38	6	a	a	DET
ajset-592	38	7	promising	promising	ADJ
ajset-592	38	8	alternative	alternative	NOUN
ajset-592	38	9	for	for	ADP
ajset-592	38	10	sps	sps	NOUN
ajset-592	38	11	process	process	NOUN
ajset-592	38	12	monitoring	monitoring	NOUN
ajset-592	38	13	.	.	PUNCT
ajset-592	39	1	lstms	lstms	ADJ
ajset-592	39	2	excel	excel	VERB
ajset-592	39	3	at	at	ADP
ajset-592	39	4	predicting	predict	VERB
ajset-592	39	5	future	future	ADJ
ajset-592	39	6	system	system	NOUN
ajset-592	39	7	evolutions	evolution	NOUN
ajset-592	39	8	based	base	VERB
ajset-592	39	9	on	on	ADP
ajset-592	39	10	current	current	ADJ
ajset-592	39	11	and	and	CCONJ
ajset-592	39	12	historical	historical	ADJ
ajset-592	39	13	data	datum	NOUN
ajset-592	39	14	,	,	PUNCT
ajset-592	39	15	making	make	VERB
ajset-592	39	16	them	they	PRON
ajset-592	39	17	well	well	ADV
ajset-592	39	18	-	-	PUNCT
ajset-592	39	19	suited	suit	VERB
ajset-592	39	20	for	for	ADP
ajset-592	39	21	anomaly	anomaly	NOUN
ajset-592	39	22	detection	detection	NOUN
ajset-592	40	1	[	[	X
ajset-592	40	2	24	24	NUM
ajset-592	40	3	]	]	PUNCT
ajset-592	40	4	,	,	PUNCT
ajset-592	41	1	[	[	X
ajset-592	41	2	25	25	NUM
ajset-592	41	3	]	]	PUNCT
ajset-592	41	4	.	.	PUNCT
ajset-592	42	1	nevertheless	nevertheless	ADV
ajset-592	42	2	,	,	PUNCT
ajset-592	42	3	their	their	PRON
ajset-592	42	4	use	use	NOUN
ajset-592	42	5	is	be	AUX
ajset-592	42	6	sometimes	sometimes	ADV
ajset-592	42	7	criticized	criticize	VERB
ajset-592	42	8	for	for	ADP
ajset-592	42	9	their	their	PRON
ajset-592	42	10	limited	limited	ADJ
ajset-592	42	11	interpretability	interpretability	NOUN
ajset-592	42	12	,	,	PUNCT
ajset-592	42	13	as	as	SCONJ
ajset-592	42	14	they	they	PRON
ajset-592	42	15	provide	provide	VERB
ajset-592	42	16	few	few	ADJ
ajset-592	42	17	insights	insight	NOUN
ajset-592	42	18	into	into	ADP
ajset-592	42	19	the	the	DET
ajset-592	42	20	underlying	underlying	ADJ
ajset-592	42	21	physical	physical	ADJ
ajset-592	42	22	processes	process	NOUN
ajset-592	42	23	.	.	PUNCT
ajset-592	43	1	in	in	ADP
ajset-592	43	2	this	this	DET
ajset-592	43	3	paper	paper	NOUN
ajset-592	43	4	,	,	PUNCT
ajset-592	43	5	we	we	PRON
ajset-592	43	6	delve	delve	VERB
ajset-592	43	7	into	into	ADP
ajset-592	43	8	the	the	DET
ajset-592	43	9	application	application	NOUN
ajset-592	43	10	of	of	ADP
ajset-592	43	11	lstm	lstm	NOUN
ajset-592	43	12	networks	network	NOUN
ajset-592	43	13	for	for	ADP
ajset-592	43	14	sps	sps	NOUN
ajset-592	43	15	process	process	NOUN
ajset-592	43	16	monitoring	monitoring	NOUN
ajset-592	43	17	,	,	PUNCT
ajset-592	43	18	aiming	aim	VERB
ajset-592	43	19	to	to	PART
ajset-592	43	20	overcome	overcome	VERB
ajset-592	43	21	the	the	DET
ajset-592	43	22	limitations	limitation	NOUN
ajset-592	43	23	of	of	ADP
ajset-592	43	24	existing	exist	VERB
ajset-592	43	25	methods	method	NOUN
ajset-592	43	26	and	and	CCONJ
ajset-592	43	27	provide	provide	VERB
ajset-592	43	28	a	a	DET
ajset-592	43	29	deeper	deep	ADJ
ajset-592	43	30	understanding	understanding	NOUN
ajset-592	43	31	of	of	ADP
ajset-592	43	32	the	the	DET
ajset-592	43	33	monitored	monitor	VERB
ajset-592	43	34	systems	system	NOUN
ajset-592	43	35	.	.	PUNCT
ajset-592	44	1	our	our	PRON
ajset-592	44	2	proposed	propose	VERB
ajset-592	44	3	approach	approach	NOUN
ajset-592	44	4	leverages	leverage	VERB
ajset-592	44	5	the	the	DET
ajset-592	44	6	predictive	predictive	ADJ
ajset-592	44	7	power	power	NOUN
ajset-592	44	8	of	of	ADP
ajset-592	44	9	lstms	lstms	NOUN
ajset-592	44	10	while	while	SCONJ
ajset-592	44	11	striving	strive	VERB
ajset-592	44	12	to	to	PART
ajset-592	44	13	enhance	enhance	VERB
ajset-592	44	14	interpretability	interpretability	NOUN
ajset-592	44	15	,	,	PUNCT
ajset-592	44	16	ultimately	ultimately	ADV
ajset-592	44	17	contributing	contribute	VERB
ajset-592	44	18	to	to	ADP
ajset-592	44	19	more	more	ADV
ajset-592	44	20	effective	effective	ADJ
ajset-592	44	21	and	and	CCONJ
ajset-592	44	22	insightful	insightful	ADJ
ajset-592	44	23	sps	sps	NOUN
ajset-592	44	24	process	process	NOUN
ajset-592	44	25	monitoring	monitoring	NOUN
ajset-592	44	26	.	.	PUNCT
ajset-592	45	1	2	2	X
ajset-592	45	2	.	.	X
ajset-592	45	3	problem	problem	NOUN
ajset-592	45	4	statement	statement	NOUN
ajset-592	45	5	the	the	DET
ajset-592	45	6	most	most	ADV
ajset-592	45	7	representative	representative	ADJ
ajset-592	45	8	example	example	NOUN
ajset-592	45	9	of	of	ADP
ajset-592	45	10	sps	sps	PROPN
ajset-592	45	11	is	be	AUX
ajset-592	45	12	biochemical	biochemical	ADJ
ajset-592	45	13	systems	system	NOUN
ajset-592	45	14	,	,	PUNCT
ajset-592	45	15	and	and	CCONJ
ajset-592	45	16	hence	hence	ADV
ajset-592	45	17	we	we	PRON
ajset-592	45	18	will	will	AUX
ajset-592	45	19	focus	focus	VERB
ajset-592	45	20	on	on	ADP
ajset-592	45	21	it	it	PRON
ajset-592	45	22	to	to	PART
ajset-592	45	23	showcase	showcase	VERB
ajset-592	45	24	the	the	DET
ajset-592	45	25	developed	develop	VERB
ajset-592	45	26	method	method	NOUN
ajset-592	45	27	in	in	ADP
ajset-592	45	28	the	the	DET
ajset-592	45	29	rest	rest	NOUN
ajset-592	45	30	of	of	ADP
ajset-592	45	31	the	the	DET
ajset-592	45	32	paper	paper	NOUN
ajset-592	45	33	.	.	PUNCT
ajset-592	46	1	the	the	DET
ajset-592	46	2	essence	essence	NOUN
ajset-592	46	3	of	of	ADP
ajset-592	46	4	biochemical	biochemical	ADJ
ajset-592	46	5	systems	system	NOUN
ajset-592	46	6	is	be	AUX
ajset-592	46	7	to	to	PART
ajset-592	46	8	convert	convert	VERB
ajset-592	46	9	substrates	substrate	NOUN
ajset-592	46	10	into	into	ADP
ajset-592	46	11	highvalue	highvalue	NOUN
ajset-592	46	12	-	-	PUNCT
ajset-592	46	13	added	add	VERB
ajset-592	46	14	metabolites	metabolite	NOUN
ajset-592	46	15	by	by	ADP
ajset-592	46	16	living	live	VERB
ajset-592	46	17	organisms	organism	NOUN
ajset-592	46	18	(	(	PUNCT
ajset-592	46	19	mostly	mostly	ADV
ajset-592	46	20	cells	cell	NOUN
ajset-592	46	21	)	)	PUNCT
ajset-592	46	22	.	.	PUNCT
ajset-592	47	1	one	one	NUM
ajset-592	47	2	of	of	ADP
ajset-592	47	3	the	the	DET
ajset-592	47	4	major	major	ADJ
ajset-592	47	5	impediments	impediment	NOUN
ajset-592	47	6	for	for	ADP
ajset-592	47	7	biochemical	biochemical	ADJ
ajset-592	47	8	system	system	NOUN
ajset-592	47	9	production	production	NOUN
ajset-592	47	10	in	in	ADP
ajset-592	47	11	high	high	ADJ
ajset-592	47	12	quality	quality	NOUN
ajset-592	47	13	and	and	CCONJ
ajset-592	47	14	quantity	quantity	NOUN
ajset-592	47	15	stems	stem	VERB
ajset-592	47	16	from	from	ADP
ajset-592	47	17	the	the	DET
ajset-592	47	18	existence	existence	NOUN
ajset-592	47	19	of	of	ADP
ajset-592	47	20	a	a	DET
ajset-592	47	21	subpopulation	subpopulation	NOUN
ajset-592	47	22	of	of	ADP
ajset-592	47	23	cells	cell	NOUN
ajset-592	47	24	showing	show	VERB
ajset-592	47	25	remarkably	remarkably	ADV
ajset-592	47	26	reduced	reduce	VERB
ajset-592	47	27	production	production	NOUN
ajset-592	47	28	efficiency	efficiency	NOUN
ajset-592	47	29	and	and	CCONJ
ajset-592	47	30	capacity	capacity	NOUN
ajset-592	47	31	,	,	PUNCT
ajset-592	47	32	which	which	PRON
ajset-592	47	33	is	be	AUX
ajset-592	47	34	termed	term	VERB
ajset-592	47	35	as	as	ADP
ajset-592	47	36	population	population	NOUN
ajset-592	47	37	heterogeneity	heterogeneity	NOUN
ajset-592	47	38	in	in	ADP
ajset-592	47	39	synthetic	synthetic	ADJ
ajset-592	47	40	biology	biology	NOUN
ajset-592	47	41	[	[	X
ajset-592	47	42	1	1	NUM
ajset-592	47	43	]	]	PUNCT
ajset-592	47	44	.	.	PUNCT
ajset-592	48	1	such	such	ADJ
ajset-592	48	2	heterogeneity	heterogeneity	NOUN
ajset-592	48	3	is	be	AUX
ajset-592	48	4	an	an	DET
ajset-592	48	5	inevitable	inevitable	ADJ
ajset-592	48	6	consequence	consequence	NOUN
ajset-592	48	7	of	of	ADP
ajset-592	48	8	stochastic	stochastic	ADJ
ajset-592	48	9	gene	gene	NOUN
ajset-592	48	10	expression	expression	NOUN
ajset-592	48	11	,	,	PUNCT
ajset-592	48	12	which	which	PRON
ajset-592	48	13	is	be	AUX
ajset-592	48	14	solidly	solidly	ADV
ajset-592	48	15	supported	support	VERB
ajset-592	48	16	by	by	ADP
ajset-592	48	17	massive	massive	ADJ
ajset-592	48	18	single	single	ADJ
ajset-592	48	19	-	-	PUNCT
ajset-592	48	20	cell	cell	NOUN
ajset-592	48	21	experiments	experiment	NOUN
ajset-592	48	22	[	[	X
ajset-592	48	23	39	39	NUM
ajset-592	48	24	]	]	PUNCT
ajset-592	48	25	,	,	PUNCT
ajset-592	48	26	[	[	X
ajset-592	48	27	40	40	NUM
ajset-592	48	28	]	]	PUNCT
ajset-592	48	29	.	.	PUNCT
ajset-592	49	1	in	in	ADP
ajset-592	49	2	the	the	DET
ajset-592	49	3	context	context	NOUN
ajset-592	49	4	of	of	ADP
ajset-592	49	5	biochemistry	biochemistry	NOUN
ajset-592	49	6	,	,	PUNCT
ajset-592	49	7	gene	gene	NOUN
ajset-592	49	8	expression	expression	NOUN
ajset-592	49	9	indeed	indeed	ADV
ajset-592	49	10	consists	consist	VERB
ajset-592	49	11	of	of	ADP
ajset-592	49	12	a	a	DET
ajset-592	49	13	set	set	NOUN
ajset-592	49	14	of	of	ADP
ajset-592	49	15	biochemical	biochemical	ADJ
ajset-592	49	16	reactions	reaction	NOUN
ajset-592	49	17	with	with	ADP
ajset-592	49	18	the	the	DET
ajset-592	49	19	participation	participation	NOUN
ajset-592	49	20	of	of	ADP
ajset-592	49	21	various	various	ADJ
ajset-592	49	22	macromolecules	macromolecule	NOUN
ajset-592	49	23	harbored	harbor	VERB
ajset-592	49	24	in	in	ADP
ajset-592	49	25	microscopic	microscopic	ADJ
ajset-592	49	26	reactors	reactor	NOUN
ajset-592	49	27	(	(	PUNCT
ajset-592	49	28	cells	cell	NOUN
ajset-592	49	29	)	)	PUNCT
ajset-592	49	30	.	.	PUNCT
ajset-592	50	1	the	the	DET
ajset-592	50	2	scarce	scarce	NOUN
ajset-592	50	3	of	of	ADP
ajset-592	50	4	such	such	ADJ
ajset-592	50	5	macromolecules	macromolecule	NOUN
ajset-592	50	6	and	and	CCONJ
ajset-592	50	7	the	the	DET
ajset-592	50	8	random	random	ADJ
ajset-592	50	9	molecular	molecular	ADJ
ajset-592	50	10	collision	collision	NOUN
ajset-592	50	11	in	in	ADP
ajset-592	50	12	the	the	DET
ajset-592	50	13	crowding	crowd	VERB
ajset-592	50	14	reaction	reaction	NOUN
ajset-592	50	15	compartment	compartment	NOUN
ajset-592	50	16	of	of	ADP
ajset-592	50	17	limited	limited	ADJ
ajset-592	50	18	volume	volume	NOUN
ajset-592	50	19	collectively	collectively	ADV
ajset-592	50	20	lead	lead	VERB
ajset-592	50	21	to	to	ADP
ajset-592	50	22	the	the	DET
ajset-592	50	23	stochasticity	stochasticity	NOUN
ajset-592	50	24	of	of	ADP
ajset-592	50	25	intracellular	intracellular	ADJ
ajset-592	50	26	biochemical	biochemical	ADJ
ajset-592	50	27	reaction	reaction	NOUN
ajset-592	50	28	,	,	PUNCT
ajset-592	50	29	particularly	particularly	ADV
ajset-592	50	30	gene	gene	NOUN
ajset-592	50	31	expression	expression	NOUN
ajset-592	50	32	.	.	PUNCT
ajset-592	51	1	as	as	ADP
ajset-592	51	2	such	such	ADJ
ajset-592	51	3	,	,	PUNCT
ajset-592	51	4	it	it	PRON
ajset-592	51	5	is	be	AUX
ajset-592	51	6	plausible	plausible	ADJ
ajset-592	51	7	to	to	PART
ajset-592	51	8	focus	focus	VERB
ajset-592	51	9	on	on	ADP
ajset-592	51	10	gene	gene	NOUN
ajset-592	51	11	expression	expression	NOUN
ajset-592	51	12	process	process	NOUN
ajset-592	51	13	,	,	PUNCT
ajset-592	51	14	which	which	PRON
ajset-592	51	15	is	be	AUX
ajset-592	51	16	the	the	DET
ajset-592	51	17	most	most	ADV
ajset-592	51	18	critical	critical	ADJ
ajset-592	51	19	and	and	CCONJ
ajset-592	51	20	representative	representative	ADJ
ajset-592	51	21	part	part	NOUN
ajset-592	51	22	.	.	PUNCT
ajset-592	52	1	without	without	ADP
ajset-592	52	2	any	any	DET
ajset-592	52	3	loss	loss	NOUN
ajset-592	52	4	of	of	ADP
ajset-592	52	5	generality	generality	NOUN
ajset-592	52	6	,	,	PUNCT
ajset-592	52	7	any	any	DET
ajset-592	52	8	intracellular	intracellular	ADJ
ajset-592	52	9	biochemical	biochemical	ADJ
ajset-592	52	10	reaction	reaction	NOUN
ajset-592	52	11	can	can	AUX
ajset-592	52	12	be	be	AUX
ajset-592	52	13	described	describe	VERB
ajset-592	52	14	by	by	ADP
ajset-592	52	15	(	(	PUNCT
ajset-592	52	16	1	1	X
ajset-592	52	17	)	)	PUNCT
ajset-592	52	18	where	where	SCONJ
ajset-592	52	19	stands	stand	VERB
ajset-592	52	20	for	for	ADP
ajset-592	52	21	species	specie	NOUN
ajset-592	52	22	(	(	PUNCT
ajset-592	52	23	)	)	PUNCT
ajset-592	52	24	,	,	PUNCT
ajset-592	52	25	the	the	DET
ajset-592	52	26	stoichiometric	stoichiometric	ADJ
ajset-592	52	27	coefficients	coefficient	NOUN
ajset-592	52	28	and	and	CCONJ
ajset-592	52	29	are	be	AUX
ajset-592	52	30	nonnegative	nonnegative	ADJ
ajset-592	52	31	integers	integer	NOUN
ajset-592	52	32	specifying	specify	VERB
ajset-592	52	33	the	the	DET
ajset-592	52	34	molecule	molecule	NOUN
ajset-592	52	35	numbers	number	NOUN
ajset-592	52	36	of	of	ADP
ajset-592	52	37	reactants	reactant	NOUN
ajset-592	52	38	and	and	CCONJ
ajset-592	52	39	products	product	NOUN
ajset-592	52	40	involved	involve	VERB
ajset-592	52	41	in	in	ADP
ajset-592	52	42	reaction	reaction	NOUN
ajset-592	52	43	respectively	respectively	ADV
ajset-592	52	44	,	,	PUNCT
ajset-592	52	45	and	and	CCONJ
ajset-592	52	46	is	be	AUX
ajset-592	52	47	the	the	DET
ajset-592	52	48	rate	rate	NOUN
ajset-592	52	49	constant	constant	ADJ
ajset-592	52	50	of	of	ADP
ajset-592	52	51	reaction	reaction	NOUN
ajset-592	52	52	.	.	PUNCT
ajset-592	53	1	in	in	ADP
ajset-592	53	2	the	the	DET
ajset-592	53	3	stochastic	stochastic	ADJ
ajset-592	53	4	sense	sense	NOUN
ajset-592	53	5	,	,	PUNCT
ajset-592	53	6	is	be	AUX
ajset-592	53	7	inversely	inversely	ADV
ajset-592	53	8	proportional	proportional	ADJ
ajset-592	53	9	to	to	ADP
ajset-592	53	10	the	the	DET
ajset-592	53	11	mean	mean	ADJ
ajset-592	53	12	time	time	NOUN
ajset-592	53	13	of	of	ADP
ajset-592	53	14	two	two	NUM
ajset-592	53	15	successive	successive	ADJ
ajset-592	53	16	reactions	reaction	NOUN
ajset-592	53	17	.	.	PUNCT
ajset-592	54	1	the	the	DET
ajset-592	54	2	propensity	propensity	NOUN
ajset-592	54	3	of	of	ADP
ajset-592	54	4	reaction	reaction	NOUN
ajset-592	54	5	is	be	AUX
ajset-592	54	6	(	(	PUNCT
ajset-592	54	7	2	2	NUM
ajset-592	54	8	)	)	PUNCT
ajset-592	54	9	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	54	10	academic	academic	ADJ
ajset-592	54	11	journal	journal	NOUN
ajset-592	54	12	of	of	ADP
ajset-592	54	13	science	science	NOUN
ajset-592	54	14	,	,	PUNCT
ajset-592	54	15	engineering	engineering	NOUN
ajset-592	54	16	and	and	CCONJ
ajset-592	54	17	technology	technology	NOUN
ajset-592	54	18	vol.7	vol.7	PROPN
ajset-592	54	19	,	,	PUNCT
ajset-592	54	20	issue	issue	NOUN
ajset-592	54	21	1	1	NUM
ajset-592	54	22	;	;	PUNCT
ajset-592	54	23	january	january	PROPN
ajset-592	54	24	febuary	febuary	PROPN
ajset-592	54	25	2022	2022	NUM
ajset-592	54	26	;	;	PUNCT
ajset-592	54	27	1252	1252	NUM
ajset-592	54	28	columbia	columbia	PROPN
ajset-592	54	29	rd	rd	PROPN
ajset-592	54	30	nw	nw	PROPN
ajset-592	54	31	,	,	PUNCT
ajset-592	54	32	washington	washington	PROPN
ajset-592	54	33	dc	dc	PROPN
ajset-592	54	34	,	,	PUNCT
ajset-592	54	35	united	united	PROPN
ajset-592	54	36	states	states	PROPN
ajset-592	54	37	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	54	38	;	;	PUNCT
ajset-592	54	39	mail	mail	NOUN
ajset-592	54	40	:	:	PUNCT
ajset-592	54	41	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	54	42	17	17	NUM
ajset-592	55	1	|	|	ADV
ajset-592	55	2	a	a	DET
ajset-592	55	3	c	c	NOUN
ajset-592	55	4	a	a	PRON
ajset-592	55	5	d	d	X
ajset-592	55	6	e	e	NOUN
ajset-592	55	7	m	m	NOUN
ajset-592	55	8	i	i	NOUN
ajset-592	55	9	c	c	NOUN
ajset-592	55	10	j	j	NOUN
ajset-592	55	11	o	o	X
ajset-592	55	12	u	u	NOUN
ajset-592	55	13	r	r	NOUN
ajset-592	55	14	n	n	NOUN
ajset-592	55	15	a	a	DET
ajset-592	55	16	l	l	NOUN
ajset-592	56	1	o	o	X
ajset-592	56	2	f	f	X
ajset-592	56	3	s	s	X
ajset-592	56	4	c	c	NOUN
ajset-592	57	1	i	i	NOUN
ajset-592	57	2	e	e	PROPN
ajset-592	57	3	n	n	PROPN
ajset-592	57	4	c	c	NOUN
ajset-592	57	5	e	e	X
ajset-592	57	6	,	,	PUNCT
ajset-592	57	7	e	e	PROPN
ajset-592	57	8	n	n	PRON
ajset-592	57	9	g	g	NOUN
ajset-592	57	10	i	i	PRON
ajset-592	57	11	n	n	VERB
ajset-592	57	12	e	e	NOUN
ajset-592	57	13	e	e	NOUN
ajset-592	57	14	r	r	VERB
ajset-592	57	15	i	i	PRON
ajset-592	57	16	n	n	CCONJ
ajset-592	57	17	g	g	PROPN
ajset-592	57	18	a	a	DET
ajset-592	57	19	n	n	NOUN
ajset-592	57	20	d	d	NOUN
ajset-592	57	21	t	t	NOUN
ajset-592	57	22	e	e	X
ajset-592	57	23	c	c	NOUN
ajset-592	57	24	h	h	NOUN
ajset-592	57	25	n	n	ADV
ajset-592	57	26	o	o	NOUN
ajset-592	57	27	l	l	NOUN
ajset-592	58	1	o	o	X
ajset-592	58	2	g	g	NOUN
ajset-592	58	3	y	y	PROPN
ajset-592	58	4	|	|	ADV
ajset-592	58	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	58	6	with	with	ADP
ajset-592	58	7	being	be	AUX
ajset-592	58	8	the	the	DET
ajset-592	58	9	compartment	compartment	NOUN
ajset-592	58	10	volume	volume	NOUN
ajset-592	58	11	and	and	CCONJ
ajset-592	58	12	being	be	AUX
ajset-592	58	13	the	the	DET
ajset-592	58	14	molecule	molecule	NOUN
ajset-592	58	15	number	number	NOUN
ajset-592	58	16	of	of	ADP
ajset-592	58	17	reactant	reactant	NOUN
ajset-592	58	18	.	.	PUNCT
ajset-592	59	1	indeed	indeed	ADV
ajset-592	59	2	,	,	PUNCT
ajset-592	59	3	the	the	DET
ajset-592	59	4	propensity	propensity	NOUN
ajset-592	59	5	can	can	AUX
ajset-592	59	6	be	be	AUX
ajset-592	59	7	loosely	loosely	ADV
ajset-592	59	8	understood	understand	VERB
ajset-592	59	9	as	as	ADP
ajset-592	59	10	the	the	DET
ajset-592	59	11	probability	probability	NOUN
ajset-592	59	12	of	of	ADP
ajset-592	59	13	reaction	reaction	NOUN
ajset-592	59	14	occurrence	occurrence	NOUN
ajset-592	59	15	.	.	PUNCT
ajset-592	60	1	for	for	ADP
ajset-592	60	2	instance	instance	NOUN
ajset-592	60	3	,	,	PUNCT
ajset-592	60	4	the	the	DET
ajset-592	60	5	transcription	transcription	NOUN
ajset-592	60	6	can	can	AUX
ajset-592	60	7	be	be	AUX
ajset-592	60	8	compactly	compactly	ADV
ajset-592	60	9	described	describe	VERB
ajset-592	60	10	by	by	ADP
ajset-592	60	11	(	(	PUNCT
ajset-592	60	12	3	3	X
ajset-592	60	13	)	)	PUNCT
ajset-592	60	14	where	where	SCONJ
ajset-592	60	15	stand	stand	VERB
ajset-592	60	16	for	for	ADP
ajset-592	60	17	gene	gene	NOUN
ajset-592	60	18	and	and	CCONJ
ajset-592	60	19	messenger	messenger	NOUN
ajset-592	60	20	rna	rna	PROPN
ajset-592	60	21	(	(	PUNCT
ajset-592	60	22	mrna	mrna	PROPN
ajset-592	60	23	)	)	PUNCT
ajset-592	60	24	respectively	respectively	ADV
ajset-592	60	25	,	,	PUNCT
ajset-592	60	26	and	and	CCONJ
ajset-592	60	27	is	be	AUX
ajset-592	60	28	the	the	DET
ajset-592	60	29	transcription	transcription	NOUN
ajset-592	60	30	rate	rate	NOUN
ajset-592	60	31	constant	constant	ADJ
ajset-592	60	32	.	.	PUNCT
ajset-592	61	1	besides	besides	SCONJ
ajset-592	61	2	,	,	PUNCT
ajset-592	61	3	there	there	PRON
ajset-592	61	4	are	be	VERB
ajset-592	61	5	various	various	ADJ
ajset-592	61	6	exogenous	exogenous	ADJ
ajset-592	61	7	factors	factor	NOUN
ajset-592	61	8	perturbing	perturb	VERB
ajset-592	61	9	the	the	DET
ajset-592	61	10	normal	normal	ADJ
ajset-592	61	11	operation	operation	NOUN
ajset-592	61	12	of	of	ADP
ajset-592	61	13	biochemical	biochemical	ADJ
ajset-592	61	14	system	system	NOUN
ajset-592	61	15	,	,	PUNCT
ajset-592	61	16	such	such	ADJ
ajset-592	61	17	as	as	ADP
ajset-592	61	18	temperature	temperature	NOUN
ajset-592	61	19	fluctuation	fluctuation	NOUN
ajset-592	61	20	and	and	CCONJ
ajset-592	61	21	contamination	contamination	NOUN
ajset-592	61	22	.	.	PUNCT
ajset-592	62	1	the	the	DET
ajset-592	62	2	temperature	temperature	NOUN
ajset-592	62	3	impacts	impact	VERB
ajset-592	62	4	the	the	DET
ajset-592	62	5	reaction	reaction	NOUN
ajset-592	62	6	through	through	ADP
ajset-592	62	7	reaction	reaction	NOUN
ajset-592	62	8	constants	constant	NOUN
ajset-592	62	9	according	accord	VERB
ajset-592	62	10	to	to	ADP
ajset-592	62	11	arrhenius	arrhenius	PROPN
ajset-592	62	12	law	law	PROPN
ajset-592	62	13	.	.	PUNCT
ajset-592	63	1	arguably	arguably	ADV
ajset-592	63	2	,	,	PUNCT
ajset-592	63	3	so	so	ADV
ajset-592	63	4	is	be	AUX
ajset-592	63	5	the	the	DET
ajset-592	63	6	mechanism	mechanism	NOUN
ajset-592	63	7	of	of	ADP
ajset-592	63	8	contamination	contamination	NOUN
ajset-592	63	9	,	,	PUNCT
ajset-592	63	10	as	as	SCONJ
ajset-592	63	11	contamination	contamination	NOUN
ajset-592	63	12	may	may	AUX
ajset-592	63	13	affect	affect	VERB
ajset-592	63	14	the	the	DET
ajset-592	63	15	catalytic	catalytic	ADJ
ajset-592	63	16	efficiency	efficiency	NOUN
ajset-592	63	17	of	of	ADP
ajset-592	63	18	some	some	DET
ajset-592	63	19	enzyme	enzyme	NOUN
ajset-592	63	20	.	.	PUNCT
ajset-592	64	1	hence	hence	ADV
ajset-592	64	2	,	,	PUNCT
ajset-592	64	3	within	within	ADP
ajset-592	64	4	the	the	DET
ajset-592	64	5	framework	framework	NOUN
ajset-592	64	6	,	,	PUNCT
ajset-592	64	7	when	when	SCONJ
ajset-592	64	8	an	an	DET
ajset-592	64	9	anomaly	anomaly	NOUN
ajset-592	64	10	takes	take	VERB
ajset-592	64	11	place	place	NOUN
ajset-592	64	12	,	,	PUNCT
ajset-592	64	13	it	it	PRON
ajset-592	64	14	is	be	AUX
ajset-592	64	15	reflected	reflect	VERB
ajset-592	64	16	through	through	ADP
ajset-592	64	17	the	the	DET
ajset-592	64	18	change	change	NOUN
ajset-592	64	19	of	of	ADP
ajset-592	64	20	one	one	NUM
ajset-592	64	21	or	or	CCONJ
ajset-592	64	22	a	a	DET
ajset-592	64	23	group	group	NOUN
ajset-592	64	24	of	of	ADP
ajset-592	64	25	reaction	reaction	NOUN
ajset-592	64	26	rate	rate	NOUN
ajset-592	64	27	constants	constant	NOUN
ajset-592	64	28	.	.	PUNCT
ajset-592	65	1	the	the	DET
ajset-592	65	2	goal	goal	NOUN
ajset-592	65	3	of	of	ADP
ajset-592	65	4	process	process	NOUN
ajset-592	65	5	monitoring	monitoring	NOUN
ajset-592	65	6	then	then	ADV
ajset-592	65	7	becomes	becomes	AUX
ajset-592	65	8	detecting	detect	VERB
ajset-592	65	9	anomaly	anomaly	NOUN
ajset-592	65	10	from	from	ADP
ajset-592	65	11	the	the	DET
ajset-592	65	12	data	datum	NOUN
ajset-592	65	13	of	of	ADP
ajset-592	65	14	reaction	reaction	NOUN
ajset-592	65	15	species	specie	NOUN
ajset-592	65	16	if	if	SCONJ
ajset-592	65	17	some	some	DET
ajset-592	65	18	reaction	reaction	NOUN
ajset-592	65	19	rate	rate	NOUN
ajset-592	65	20	constant	constant	ADJ
ajset-592	65	21	changes	change	NOUN
ajset-592	65	22	.	.	PUNCT
ajset-592	66	1	3	3	X
ajset-592	66	2	.	.	X
ajset-592	66	3	methods	method	NOUN
ajset-592	66	4	3.1	3.1	NUM
ajset-592	66	5	.	.	PUNCT
ajset-592	67	1	data	datum	NOUN
ajset-592	67	2	acquisition	acquisition	VERB
ajset-592	67	3	the	the	DET
ajset-592	67	4	dynamics	dynamic	NOUN
ajset-592	67	5	of	of	ADP
ajset-592	67	6	system	system	NOUN
ajset-592	67	7	(	(	PUNCT
ajset-592	67	8	1	1	X
ajset-592	67	9	)	)	PUNCT
ajset-592	67	10	can	can	AUX
ajset-592	67	11	be	be	AUX
ajset-592	67	12	simulated	simulate	VERB
ajset-592	67	13	by	by	ADP
ajset-592	67	14	the	the	DET
ajset-592	67	15	renowned	renowned	ADJ
ajset-592	67	16	stochastic	stochastic	ADJ
ajset-592	67	17	simulation	simulation	NOUN
ajset-592	67	18	algorithm	algorithm	NOUN
ajset-592	67	19	(	(	PUNCT
ajset-592	67	20	ssa	ssa	PROPN
ajset-592	67	21	)	)	PUNCT
ajset-592	67	22	,	,	PUNCT
ajset-592	67	23	also	also	ADV
ajset-592	67	24	known	know	VERB
ajset-592	67	25	as	as	ADP
ajset-592	67	26	gillespie	gillespie	PROPN
ajset-592	67	27	algorithm	algorithm	NOUN
ajset-592	67	28	in	in	ADP
ajset-592	67	29	systems	system	NOUN
ajset-592	67	30	biology	biology	NOUN
ajset-592	67	31	[	[	X
ajset-592	67	32	41	41	NUM
ajset-592	67	33	]	]	PUNCT
ajset-592	67	34	.	.	PUNCT
ajset-592	68	1	the	the	DET
ajset-592	68	2	basic	basic	ADJ
ajset-592	68	3	idea	idea	NOUN
ajset-592	68	4	is	be	AUX
ajset-592	68	5	to	to	PART
ajset-592	68	6	draw	draw	VERB
ajset-592	68	7	two	two	NUM
ajset-592	68	8	random	random	ADJ
ajset-592	68	9	numbers	number	NOUN
ajset-592	68	10	,	,	PUNCT
ajset-592	68	11	one	one	NUM
ajset-592	68	12	for	for	ADP
ajset-592	68	13	calculating	calculate	VERB
ajset-592	68	14	the	the	DET
ajset-592	68	15	next	next	ADJ
ajset-592	68	16	reaction	reaction	NOUN
ajset-592	68	17	time	time	NOUN
ajset-592	68	18	,	,	PUNCT
ajset-592	68	19	and	and	CCONJ
ajset-592	68	20	the	the	DET
ajset-592	68	21	other	other	ADJ
ajset-592	68	22	for	for	ADP
ajset-592	68	23	determining	determine	VERB
ajset-592	68	24	next	next	ADJ
ajset-592	68	25	reaction	reaction	NOUN
ajset-592	68	26	type	type	NOUN
ajset-592	68	27	.	.	PUNCT
ajset-592	69	1	the	the	DET
ajset-592	69	2	pseudocode	pseudocode	PROPN
ajset-592	69	3	for	for	ADP
ajset-592	69	4	ssa	ssa	PROPN
ajset-592	69	5	is	be	AUX
ajset-592	69	6	presented	present	VERB
ajset-592	69	7	as	as	SCONJ
ajset-592	69	8	follows	follow	VERB
ajset-592	69	9	.	.	PUNCT
ajset-592	70	1	algorithm	algorithm	NOUN
ajset-592	70	2	1	1	NUM
ajset-592	70	3	stochastic	stochastic	NOUN
ajset-592	70	4	simulation	simulation	NOUN
ajset-592	70	5	algorithm	algorithm	NOUN
ajset-592	70	6	1	1	NUM
ajset-592	70	7	:	:	PUNCT
ajset-592	70	8	initialization	initialization	NOUN
ajset-592	70	9	:	:	PUNCT
ajset-592	70	10	2	2	NUM
ajset-592	70	11	:	:	PUNCT
ajset-592	70	12	repeat	repeat	VERB
ajset-592	70	13	3	3	NUM
ajset-592	70	14	:	:	PUNCT
ajset-592	70	15	calculate	calculate	VERB
ajset-592	70	16	propensities	propensity	NOUN
ajset-592	70	17	according	accord	VERB
ajset-592	70	18	to	to	ADP
ajset-592	70	19	(	(	PUNCT
ajset-592	70	20	2	2	NUM
ajset-592	70	21	)	)	PUNCT
ajset-592	70	22	4	4	NUM
ajset-592	70	23	:	:	PUNCT
ajset-592	70	24	obtain	obtain	VERB
ajset-592	70	25	the	the	DET
ajset-592	70	26	time	time	NOUN
ajset-592	70	27	step	step	NOUN
ajset-592	70	28	to	to	ADP
ajset-592	70	29	the	the	DET
ajset-592	70	30	next	next	ADJ
ajset-592	70	31	reaction	reaction	NOUN
ajset-592	70	32	event	event	NOUN
ajset-592	70	33	5	5	NUM
ajset-592	70	34	:	:	PUNCT
ajset-592	70	35	determine	determine	VERB
ajset-592	70	36	the	the	DET
ajset-592	70	37	next	next	ADJ
ajset-592	70	38	reaction	reaction	NOUN
ajset-592	70	39	event	event	NOUN
ajset-592	70	40	6	6	NUM
ajset-592	70	41	:	:	PUNCT
ajset-592	70	42	update	update	VERB
ajset-592	70	43	time	time	NOUN
ajset-592	70	44	7	7	NUM
ajset-592	70	45	:	:	PUNCT
ajset-592	70	46	update	update	NOUN
ajset-592	70	47	according	accord	VERB
ajset-592	70	48	to	to	ADP
ajset-592	70	49	(	(	PUNCT
ajset-592	70	50	1	1	NUM
ajset-592	70	51	)	)	PUNCT
ajset-592	70	52	8	8	NUM
ajset-592	70	53	:	:	PUNCT
ajset-592	70	54	until	until	ADP
ajset-592	70	55	output	output	NOUN
ajset-592	70	56	:	:	PUNCT
ajset-592	70	57	notably	notably	ADV
ajset-592	70	58	,	,	PUNCT
ajset-592	70	59	there	there	PRON
ajset-592	70	60	is	be	VERB
ajset-592	70	61	a	a	DET
ajset-592	70	62	julia	julia	PROPN
ajset-592	70	63	implementation	implementation	NOUN
ajset-592	70	64	developed	develop	VERB
ajset-592	70	65	by	by	ADP
ajset-592	70	66	our	our	PRON
ajset-592	70	67	group	group	NOUN
ajset-592	70	68	and	and	CCONJ
ajset-592	70	69	available	available	ADJ
ajset-592	70	70	on	on	ADP
ajset-592	70	71	github	github	NOUN
ajset-592	70	72	as	as	ADP
ajset-592	70	73	delayssatoolkit	delayssatoolkit	NOUN
ajset-592	70	74	.	.	PUNCT
ajset-592	71	1	the	the	DET
ajset-592	71	2	package	package	NOUN
ajset-592	71	3	is	be	AUX
ajset-592	71	4	based	base	VERB
ajset-592	71	5	on	on	ADP
ajset-592	71	6	diffeqjump	diffeqjump	NOUN
ajset-592	71	7	,	,	PUNCT
ajset-592	71	8	but	but	CCONJ
ajset-592	71	9	more	more	ADV
ajset-592	71	10	powerful	powerful	ADJ
ajset-592	71	11	as	as	SCONJ
ajset-592	71	12	it	it	PRON
ajset-592	71	13	is	be	AUX
ajset-592	71	14	even	even	ADV
ajset-592	71	15	able	able	ADJ
ajset-592	71	16	to	to	PART
ajset-592	71	17	simulate	simulate	VERB
ajset-592	71	18	delayed	delayed	ADJ
ajset-592	71	19	reactions	reaction	NOUN
ajset-592	71	20	[	[	X
ajset-592	71	21	42	42	NUM
ajset-592	71	22	]	]	PUNCT
ajset-592	71	23	.	.	PUNCT
ajset-592	72	1	3.2	3.2	NUM
ajset-592	72	2	.	.	PUNCT
ajset-592	73	1	koopman	koopman	NOUN
ajset-592	73	2	operator	operator	NOUN
ajset-592	73	3	theory	theory	NOUN
ajset-592	73	4	here	here	ADV
ajset-592	73	5	we	we	PRON
ajset-592	73	6	present	present	VERB
ajset-592	73	7	a	a	DET
ajset-592	73	8	brief	brief	ADJ
ajset-592	73	9	summary	summary	NOUN
ajset-592	73	10	of	of	ADP
ajset-592	73	11	koopman	koopman	NOUN
ajset-592	73	12	operator	operator	NOUN
ajset-592	73	13	theory	theory	NOUN
ajset-592	73	14	.	.	PUNCT
ajset-592	74	1	for	for	ADP
ajset-592	74	2	more	more	ADJ
ajset-592	74	3	details	detail	NOUN
ajset-592	74	4	,	,	PUNCT
ajset-592	74	5	readers	reader	NOUN
ajset-592	74	6	are	be	AUX
ajset-592	74	7	encouraged	encourage	VERB
ajset-592	74	8	to	to	PART
ajset-592	74	9	refer	refer	VERB
ajset-592	74	10	to	to	ADP
ajset-592	74	11	[	[	X
ajset-592	74	12	43	43	NUM
ajset-592	74	13	]	]	PUNCT
ajset-592	74	14	.	.	PUNCT
ajset-592	75	1	considering	consider	VERB
ajset-592	75	2	a	a	DET
ajset-592	75	3	discrete	discrete	ADJ
ajset-592	75	4	-	-	PUNCT
ajset-592	75	5	time	time	NOUN
ajset-592	75	6	system	system	NOUN
ajset-592	75	7	,	,	PUNCT
ajset-592	75	8	whose	whose	DET
ajset-592	75	9	dynamics	dynamic	NOUN
ajset-592	75	10	are	be	AUX
ajset-592	75	11	governed	govern	VERB
ajset-592	75	12	by	by	ADP
ajset-592	75	13	(	(	PUNCT
ajset-592	75	14	4	4	X
ajset-592	75	15	)	)	PUNCT
ajset-592	75	16	the	the	DET
ajset-592	75	17	state	state	NOUN
ajset-592	75	18	is	be	AUX
ajset-592	75	19	only	only	ADV
ajset-592	75	20	observable	observable	ADJ
ajset-592	75	21	through	through	ADP
ajset-592	75	22	some	some	DET
ajset-592	75	23	function	function	NOUN
ajset-592	75	24	such	such	ADJ
ajset-592	75	25	that	that	SCONJ
ajset-592	75	26	(	(	PUNCT
ajset-592	75	27	5	5	NUM
ajset-592	75	28	)	)	PUNCT
ajset-592	75	29	,	,	PUNCT
ajset-592	75	30	,	,	PUNCT
ajset-592	75	31	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	75	32	academic	academic	ADJ
ajset-592	75	33	journal	journal	NOUN
ajset-592	75	34	of	of	ADP
ajset-592	75	35	science	science	NOUN
ajset-592	75	36	,	,	PUNCT
ajset-592	75	37	engineering	engineering	NOUN
ajset-592	75	38	and	and	CCONJ
ajset-592	75	39	technology	technology	NOUN
ajset-592	75	40	vol.7	vol.7	PROPN
ajset-592	75	41	,	,	PUNCT
ajset-592	75	42	issue	issue	NOUN
ajset-592	75	43	1	1	NUM
ajset-592	75	44	;	;	PUNCT
ajset-592	75	45	january	january	PROPN
ajset-592	75	46	febuary	febuary	PROPN
ajset-592	75	47	2022	2022	NUM
ajset-592	75	48	;	;	PUNCT
ajset-592	75	49	1252	1252	NUM
ajset-592	75	50	columbia	columbia	PROPN
ajset-592	75	51	rd	rd	PROPN
ajset-592	75	52	nw	nw	PROPN
ajset-592	75	53	,	,	PUNCT
ajset-592	75	54	washington	washington	PROPN
ajset-592	75	55	dc	dc	PROPN
ajset-592	75	56	,	,	PUNCT
ajset-592	75	57	united	united	PROPN
ajset-592	75	58	states	states	PROPN
ajset-592	75	59	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	75	60	;	;	PUNCT
ajset-592	75	61	mail	mail	NOUN
ajset-592	75	62	:	:	PUNCT
ajset-592	75	63	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	76	1	18	18	NUM
ajset-592	77	1	|	|	ADV
ajset-592	77	2	a	a	DET
ajset-592	77	3	c	c	NOUN
ajset-592	77	4	a	a	PRON
ajset-592	77	5	d	d	X
ajset-592	77	6	e	e	NOUN
ajset-592	77	7	m	m	NOUN
ajset-592	77	8	i	i	NOUN
ajset-592	77	9	c	c	NOUN
ajset-592	77	10	j	j	NOUN
ajset-592	77	11	o	o	X
ajset-592	77	12	u	u	NOUN
ajset-592	77	13	r	r	NOUN
ajset-592	77	14	n	n	NOUN
ajset-592	77	15	a	a	DET
ajset-592	77	16	l	l	NOUN
ajset-592	78	1	o	o	X
ajset-592	78	2	f	f	X
ajset-592	78	3	s	s	X
ajset-592	78	4	c	c	NOUN
ajset-592	79	1	i	i	NOUN
ajset-592	79	2	e	e	PROPN
ajset-592	79	3	n	n	PROPN
ajset-592	79	4	c	c	NOUN
ajset-592	79	5	e	e	X
ajset-592	79	6	,	,	PUNCT
ajset-592	79	7	e	e	PROPN
ajset-592	79	8	n	n	PRON
ajset-592	79	9	g	g	NOUN
ajset-592	79	10	i	i	PRON
ajset-592	79	11	n	n	VERB
ajset-592	79	12	e	e	NOUN
ajset-592	79	13	e	e	NOUN
ajset-592	79	14	r	r	VERB
ajset-592	79	15	i	i	PRON
ajset-592	79	16	n	n	CCONJ
ajset-592	79	17	g	g	PROPN
ajset-592	79	18	a	a	DET
ajset-592	79	19	n	n	NOUN
ajset-592	79	20	d	d	NOUN
ajset-592	79	21	t	t	NOUN
ajset-592	79	22	e	e	X
ajset-592	79	23	c	c	NOUN
ajset-592	79	24	h	h	NOUN
ajset-592	79	25	n	n	ADV
ajset-592	79	26	o	o	NOUN
ajset-592	79	27	l	l	NOUN
ajset-592	80	1	o	o	X
ajset-592	80	2	g	g	NOUN
ajset-592	80	3	y	y	PROPN
ajset-592	80	4	|	|	ADV
ajset-592	80	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	80	6	as	as	SCONJ
ajset-592	80	7	shown	show	VERB
ajset-592	80	8	in	in	ADP
ajset-592	80	9	figure	figure	NOUN
ajset-592	80	10	1	1	NUM
ajset-592	80	11	,	,	PUNCT
ajset-592	80	12	the	the	DET
ajset-592	80	13	koopman	koopman	NOUN
ajset-592	80	14	operator	operator	NOUN
ajset-592	80	15	is	be	AUX
ajset-592	80	16	an	an	DET
ajset-592	80	17	infinite	infinite	ADJ
ajset-592	80	18	-	-	PUNCT
ajset-592	80	19	dimensional	dimensional	ADJ
ajset-592	80	20	linear	linear	NOUN
ajset-592	80	21	operator	operator	NOUN
ajset-592	80	22	acting	act	VERB
ajset-592	80	23	on	on	ADP
ajset-592	80	24	observing	observe	VERB
ajset-592	80	25	function	function	NOUN
ajset-592	80	26	such	such	ADJ
ajset-592	80	27	that	that	SCONJ
ajset-592	80	28	(	(	PUNCT
ajset-592	80	29	6	6	NUM
ajset-592	80	30	)	)	PUNCT
ajset-592	80	31	where	where	SCONJ
ajset-592	80	32	is	be	AUX
ajset-592	80	33	the	the	DET
ajset-592	80	34	composition	composition	NOUN
ajset-592	80	35	operator	operator	NOUN
ajset-592	80	36	.	.	PUNCT
ajset-592	81	1	suppose	suppose	VERB
ajset-592	81	2	that	that	SCONJ
ajset-592	81	3	in	in	ADP
ajset-592	81	4	some	some	DET
ajset-592	81	5	hilbert	hilbert	NOUN
ajset-592	81	6	space	space	NOUN
ajset-592	81	7	spanned	span	VERB
ajset-592	81	8	by	by	ADP
ajset-592	81	9	a	a	DET
ajset-592	81	10	set	set	NOUN
ajset-592	81	11	of	of	ADP
ajset-592	81	12	basis	basis	NOUN
ajset-592	81	13	functions	function	NOUN
ajset-592	81	14	termed	term	VERB
ajset-592	81	15	koopman	koopman	PROPN
ajset-592	81	16	eigenfunctions	eigenfunction	NOUN
ajset-592	81	17	satisfying	satisfy	VERB
ajset-592	81	18	that	that	SCONJ
ajset-592	81	19	(	(	PUNCT
ajset-592	81	20	7	7	X
ajset-592	81	21	)	)	PUNCT
ajset-592	81	22	it	it	PRON
ajset-592	81	23	follows	follow	VERB
ajset-592	81	24	that	that	SCONJ
ajset-592	81	25	observing	observe	VERB
ajset-592	81	26	function	function	NOUN
ajset-592	81	27	can	can	AUX
ajset-592	81	28	be	be	AUX
ajset-592	81	29	compactly	compactly	ADV
ajset-592	81	30	decomposed	decompose	VERB
ajset-592	81	31	into	into	ADP
ajset-592	81	32	(	(	PUNCT
ajset-592	81	33	8)	8)	NUM
ajset-592	81	34	with	with	ADP
ajset-592	81	35	the	the	DET
ajset-592	81	36	koopman	koopman	PROPN
ajset-592	81	37	mode	mode	PROPN
ajset-592	81	38	being	be	AUX
ajset-592	81	39	.	.	PUNCT
ajset-592	82	1	as	as	ADP
ajset-592	82	2	per	per	ADP
ajset-592	82	3	(	(	PUNCT
ajset-592	82	4	7	7	NUM
ajset-592	82	5	)	)	PUNCT
ajset-592	82	6	,	,	PUNCT
ajset-592	82	7	the	the	DET
ajset-592	82	8	evolution	evolution	NOUN
ajset-592	82	9	of	of	ADP
ajset-592	82	10	the	the	DET
ajset-592	82	11	measurement	measurement	NOUN
ajset-592	82	12	dynamics	dynamic	NOUN
ajset-592	82	13	can	can	AUX
ajset-592	82	14	be	be	AUX
ajset-592	82	15	presented	present	VERB
ajset-592	82	16	as	as	ADP
ajset-592	82	17	(	(	PUNCT
ajset-592	82	18	9	9	NUM
ajset-592	82	19	)	)	PUNCT
ajset-592	82	20	which	which	PRON
ajset-592	82	21	is	be	AUX
ajset-592	82	22	referred	refer	VERB
ajset-592	82	23	as	as	ADP
ajset-592	82	24	koopman	koopman	PROPN
ajset-592	82	25	mode	mode	PROPN
ajset-592	82	26	decomposition	decomposition	NOUN
ajset-592	82	27	and	and	CCONJ
ajset-592	82	28	tightly	tightly	ADV
ajset-592	82	29	connected	connect	VERB
ajset-592	82	30	to	to	ADP
ajset-592	82	31	dmd	dmd	PROPN
ajset-592	82	32	.	.	PROPN
ajset-592	82	33	dmd	dmd	PROPN
ajset-592	82	34	is	be	AUX
ajset-592	82	35	indeed	indeed	ADV
ajset-592	82	36	a	a	DET
ajset-592	82	37	finite	finite	ADJ
ajset-592	82	38	truncation	truncation	NOUN
ajset-592	82	39	of	of	ADP
ajset-592	82	40	koopman	koopman	PROPN
ajset-592	82	41	mode	mode	PROPN
ajset-592	82	42	decomposition	decomposition	NOUN
ajset-592	82	43	for	for	ADP
ajset-592	82	44	a	a	DET
ajset-592	82	45	linear	linear	ADJ
ajset-592	82	46	system	system	NOUN
ajset-592	82	47	(	(	PUNCT
ajset-592	82	48	is	be	AUX
ajset-592	82	49	a	a	DET
ajset-592	82	50	linear	linear	ADJ
ajset-592	82	51	function	function	NOUN
ajset-592	82	52	)	)	PUNCT
ajset-592	83	1	[	[	X
ajset-592	83	2	28	28	NUM
ajset-592	83	3	]	]	PUNCT
ajset-592	83	4	,	,	PUNCT
ajset-592	83	5	[	[	X
ajset-592	83	6	43	43	NUM
ajset-592	83	7	]	]	PUNCT
ajset-592	83	8	.	.	PUNCT
ajset-592	84	1	figure	figure	NOUN
ajset-592	84	2	1	1	NUM
ajset-592	84	3	:	:	PUNCT
ajset-592	84	4	schematic	schematic	ADJ
ajset-592	84	5	of	of	ADP
ajset-592	84	6	koopman	koopman	NOUN
ajset-592	84	7	operator	operator	NOUN
ajset-592	84	8	theory	theory	NOUN
ajset-592	84	9	.	.	PUNCT
ajset-592	85	1	an	an	DET
ajset-592	85	2	observing	observe	VERB
ajset-592	85	3	function	function	NOUN
ajset-592	85	4	maps	map	NOUN
ajset-592	85	5	system	system	NOUN
ajset-592	85	6	states	state	NOUN
ajset-592	85	7	into	into	ADP
ajset-592	85	8	a	a	DET
ajset-592	85	9	highdimensional	highdimensional	ADJ
ajset-592	85	10	space	space	NOUN
ajset-592	85	11	where	where	SCONJ
ajset-592	85	12	measurements	measurement	NOUN
ajset-592	85	13	evolving	evolve	VERB
ajset-592	85	14	linearly	linearly	ADV
ajset-592	85	15	governed	govern	VERB
ajset-592	85	16	by	by	ADP
ajset-592	85	17	koopman	koopman	NOUN
ajset-592	85	18	operator	operator	NOUN
ajset-592	85	19	is	be	AUX
ajset-592	85	20	usually	usually	ADV
ajset-592	85	21	nonlinear	nonlinear	ADJ
ajset-592	85	22	[	[	X
ajset-592	85	23	43	43	NUM
ajset-592	85	24	]	]	PUNCT
ajset-592	85	25	.	.	PUNCT
ajset-592	86	1	figure	figure	NOUN
ajset-592	86	2	2	2	NUM
ajset-592	86	3	:	:	PUNCT
ajset-592	86	4	schematics	schematic	NOUN
ajset-592	86	5	of	of	ADP
ajset-592	86	6	deep	deep	ADJ
ajset-592	86	7	koopman	koopman	PROPN
ajset-592	86	8	neural	neural	ADJ
ajset-592	86	9	network	network	NOUN
ajset-592	86	10	.	.	PUNCT
ajset-592	87	1	(	(	PUNCT
ajset-592	87	2	a	a	X
ajset-592	87	3	)	)	PUNCT
ajset-592	87	4	shows	show	VERB
ajset-592	87	5	an	an	DET
ajset-592	87	6	autoencoder	autoencoder	NOUN
ajset-592	87	7	and	and	CCONJ
ajset-592	87	8	establishing	establish	VERB
ajset-592	87	9	a	a	DET
ajset-592	87	10	bijective	bijective	ADJ
ajset-592	87	11	static	static	ADJ
ajset-592	87	12	mapping	mapping	NOUN
ajset-592	87	13	between	between	ADP
ajset-592	87	14	the	the	DET
ajset-592	87	15	original	original	ADJ
ajset-592	87	16	space	space	NOUN
ajset-592	87	17	and	and	CCONJ
ajset-592	87	18	the	the	DET
ajset-592	87	19	high	high	ADV
ajset-592	87	20	-	-	PUNCT
ajset-592	87	21	dimensional	dimensional	ADJ
ajset-592	87	22	linear	linear	ADJ
ajset-592	87	23	space	space	NOUN
ajset-592	87	24	.	.	PUNCT
ajset-592	88	1	(	(	PUNCT
ajset-592	88	2	b	b	X
ajset-592	88	3	)	)	PUNCT
ajset-592	88	4	shows	show	VERB
ajset-592	88	5	how	how	SCONJ
ajset-592	88	6	the	the	DET
ajset-592	88	7	dknn	dknn	NOUN
ajset-592	88	8	performs	perform	VERB
ajset-592	88	9	one	one	NUM
ajset-592	88	10	-	-	PUNCT
ajset-592	88	11	step	step	NOUN
ajset-592	88	12	prediction	prediction	NOUN
ajset-592	88	13	.	.	PUNCT
ajset-592	89	1	(	(	PUNCT
ajset-592	89	2	c	c	X
ajset-592	89	3	)	)	PUNCT
ajset-592	89	4	interprets	interpret	VERB
ajset-592	89	5	the	the	DET
ajset-592	89	6	loss	loss	NOUN
ajset-592	89	7	function	function	NOUN
ajset-592	89	8	.	.	PUNCT
ajset-592	90	1	the	the	DET
ajset-592	90	2	left	left	ADJ
ajset-592	90	3	panel	panel	NOUN
ajset-592	90	4	corresponds	correspond	VERB
ajset-592	90	5	to	to	ADP
ajset-592	90	6	,	,	PUNCT
ajset-592	90	7	while	while	SCONJ
ajset-592	90	8	the	the	DET
ajset-592	90	9	right	right	NOUN
ajset-592	90	10	stands	stand	VERB
ajset-592	90	11	for	for	ADP
ajset-592	90	12	.	.	PUNCT
ajset-592	91	1	figure	figure	NOUN
ajset-592	91	2	3	3	NUM
ajset-592	91	3	:	:	PUNCT
ajset-592	91	4	dknn	dknn	PROPN
ajset-592	91	5	based	base	VERB
ajset-592	91	6	anomaly	anomaly	PROPN
ajset-592	91	7	detection	detection	NOUN
ajset-592	91	8	protocol	protocol	NOUN
ajset-592	91	9	.	.	PUNCT
ajset-592	92	1	left	leave	VERB
ajset-592	92	2	:	:	PUNCT
ajset-592	92	3	svdd	svdd	PROPN
ajset-592	92	4	calculates	calculate	VERB
ajset-592	92	5	the	the	DET
ajset-592	92	6	radius	radius	NOUN
ajset-592	92	7	associated	associate	VERB
ajset-592	92	8	with	with	ADP
ajset-592	92	9	90	90	NUM
ajset-592	92	10	%	%	NOUN
ajset-592	92	11	confidence	confidence	NOUN
ajset-592	92	12	interval	interval	NOUN
ajset-592	92	13	based	base	VERB
ajset-592	92	14	on	on	ADP
ajset-592	92	15	the	the	DET
ajset-592	92	16	residues	residue	NOUN
ajset-592	92	17	between	between	ADP
ajset-592	92	18	predictions	prediction	NOUN
ajset-592	92	19	and	and	CCONJ
ajset-592	92	20	measurements	measurement	NOUN
ajset-592	92	21	.	.	PUNCT
ajset-592	93	1	right	right	ADV
ajset-592	93	2	:	:	PUNCT
ajset-592	93	3	an	an	DET
ajset-592	93	4	anomaly	anomaly	NOUN
ajset-592	93	5	is	be	AUX
ajset-592	93	6	detected	detect	VERB
ajset-592	93	7	,	,	PUNCT
ajset-592	93	8	while	while	SCONJ
ajset-592	93	9	the	the	DET
ajset-592	93	10	evolution	evolution	NOUN
ajset-592	93	11	operator	operator	NOUN
ajset-592	93	12	of	of	ADP
ajset-592	93	13	states	state	NOUN
ajset-592	93	14	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	93	15	academic	academic	ADJ
ajset-592	93	16	journal	journal	NOUN
ajset-592	93	17	of	of	ADP
ajset-592	93	18	science	science	NOUN
ajset-592	93	19	,	,	PUNCT
ajset-592	93	20	engineering	engineering	NOUN
ajset-592	93	21	and	and	CCONJ
ajset-592	93	22	technology	technology	NOUN
ajset-592	93	23	vol.7	vol.7	PROPN
ajset-592	93	24	,	,	PUNCT
ajset-592	93	25	issue	issue	NOUN
ajset-592	93	26	1	1	NUM
ajset-592	93	27	;	;	PUNCT
ajset-592	93	28	january	january	PROPN
ajset-592	93	29	febuary	febuary	PROPN
ajset-592	93	30	2022	2022	NUM
ajset-592	93	31	;	;	PUNCT
ajset-592	93	32	1252	1252	NUM
ajset-592	93	33	columbia	columbia	PROPN
ajset-592	93	34	rd	rd	PROPN
ajset-592	93	35	nw	nw	PROPN
ajset-592	93	36	,	,	PUNCT
ajset-592	93	37	washington	washington	PROPN
ajset-592	93	38	dc	dc	PROPN
ajset-592	93	39	,	,	PUNCT
ajset-592	93	40	united	united	PROPN
ajset-592	93	41	states	states	PROPN
ajset-592	93	42	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	93	43	;	;	PUNCT
ajset-592	93	44	mail	mail	NOUN
ajset-592	93	45	:	:	PUNCT
ajset-592	93	46	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	94	1	19	19	NUM
ajset-592	95	1	|	|	ADV
ajset-592	95	2	a	a	DET
ajset-592	95	3	c	c	NOUN
ajset-592	95	4	a	a	PRON
ajset-592	95	5	d	d	X
ajset-592	95	6	e	e	NOUN
ajset-592	95	7	m	m	NOUN
ajset-592	95	8	i	i	NOUN
ajset-592	95	9	c	c	NOUN
ajset-592	95	10	j	j	NOUN
ajset-592	95	11	o	o	X
ajset-592	95	12	u	u	NOUN
ajset-592	95	13	r	r	NOUN
ajset-592	95	14	n	n	NOUN
ajset-592	95	15	a	a	DET
ajset-592	95	16	l	l	NOUN
ajset-592	96	1	o	o	X
ajset-592	96	2	f	f	X
ajset-592	96	3	s	s	X
ajset-592	96	4	c	c	NOUN
ajset-592	97	1	i	i	NOUN
ajset-592	97	2	e	e	PROPN
ajset-592	97	3	n	n	PROPN
ajset-592	97	4	c	c	NOUN
ajset-592	97	5	e	e	X
ajset-592	97	6	,	,	PUNCT
ajset-592	97	7	e	e	PROPN
ajset-592	97	8	n	n	PRON
ajset-592	97	9	g	g	NOUN
ajset-592	97	10	i	i	PRON
ajset-592	97	11	n	n	VERB
ajset-592	97	12	e	e	NOUN
ajset-592	97	13	e	e	NOUN
ajset-592	97	14	r	r	VERB
ajset-592	97	15	i	i	PRON
ajset-592	97	16	n	n	CCONJ
ajset-592	97	17	g	g	PROPN
ajset-592	97	18	a	a	DET
ajset-592	97	19	n	n	NOUN
ajset-592	97	20	d	d	NOUN
ajset-592	97	21	t	t	NOUN
ajset-592	97	22	e	e	X
ajset-592	97	23	c	c	NOUN
ajset-592	97	24	h	h	NOUN
ajset-592	97	25	n	n	ADV
ajset-592	97	26	o	o	NOUN
ajset-592	97	27	l	l	NOUN
ajset-592	98	1	o	o	X
ajset-592	98	2	g	g	NOUN
ajset-592	98	3	y	y	PROPN
ajset-592	98	4	|	|	ADV
ajset-592	98	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	98	6	if	if	SCONJ
ajset-592	98	7	the	the	DET
ajset-592	98	8	residue	residue	NOUN
ajset-592	98	9	of	of	ADP
ajset-592	98	10	a	a	DET
ajset-592	98	11	newly	newly	ADV
ajset-592	98	12	cast	cast	VERB
ajset-592	98	13	prediction	prediction	NOUN
ajset-592	98	14	is	be	AUX
ajset-592	98	15	larger	large	ADJ
ajset-592	98	16	than	than	ADP
ajset-592	98	17	an	an	DET
ajset-592	98	18	established	establish	VERB
ajset-592	98	19	radius	radius	NOUN
ajset-592	98	20	.	.	PUNCT
ajset-592	99	1	otherwise	otherwise	ADV
ajset-592	99	2	,	,	PUNCT
ajset-592	99	3	the	the	DET
ajset-592	99	4	system	system	NOUN
ajset-592	99	5	is	be	AUX
ajset-592	99	6	still	still	ADV
ajset-592	99	7	working	work	VERB
ajset-592	99	8	in	in	ADP
ajset-592	99	9	normal	normal	ADJ
ajset-592	99	10	.	.	PUNCT
ajset-592	100	1	3.3	3.3	NUM
ajset-592	100	2	.	.	PUNCT
ajset-592	101	1	deep	deep	ADJ
ajset-592	101	2	koopman	koopman	PROPN
ajset-592	101	3	neural	neural	PROPN
ajset-592	101	4	network	network	PROPN
ajset-592	101	5	kot	kot	PROPN
ajset-592	101	6	is	be	AUX
ajset-592	101	7	a	a	DET
ajset-592	101	8	seemingly	seemingly	ADV
ajset-592	101	9	elegant	elegant	ADJ
ajset-592	101	10	theory	theory	NOUN
ajset-592	101	11	enabling	enable	VERB
ajset-592	101	12	global	global	ADJ
ajset-592	101	13	linearization	linearization	NOUN
ajset-592	101	14	but	but	CCONJ
ajset-592	101	15	rather	rather	ADV
ajset-592	101	16	difficult	difficult	ADJ
ajset-592	101	17	to	to	PART
ajset-592	101	18	perform	perform	VERB
ajset-592	101	19	,	,	PUNCT
ajset-592	101	20	as	as	ADP
ajset-592	101	21	solving	solve	VERB
ajset-592	101	22	the	the	DET
ajset-592	101	23	triplet	triplet	NOUN
ajset-592	101	24	of	of	ADP
ajset-592	101	25	the	the	DET
ajset-592	101	26	eigenfunction	eigenfunction	NOUN
ajset-592	101	27	,	,	PUNCT
ajset-592	101	28	the	the	DET
ajset-592	101	29	eigenvalue	eigenvalue	PROPN
ajset-592	101	30	and	and	CCONJ
ajset-592	101	31	the	the	DET
ajset-592	101	32	mode	mode	NOUN
ajset-592	101	33	is	be	AUX
ajset-592	101	34	a	a	DET
ajset-592	101	35	daunting	daunting	ADJ
ajset-592	101	36	task	task	NOUN
ajset-592	101	37	.	.	PUNCT
ajset-592	102	1	the	the	DET
ajset-592	102	2	choice	choice	NOUN
ajset-592	102	3	of	of	ADP
ajset-592	102	4	eigenfunctions	eigenfunction	NOUN
ajset-592	102	5	is	be	AUX
ajset-592	102	6	non	non	ADJ
ajset-592	102	7	-	-	ADJ
ajset-592	102	8	trivial	trivial	ADJ
ajset-592	102	9	and	and	CCONJ
ajset-592	102	10	calls	call	VERB
ajset-592	102	11	for	for	ADP
ajset-592	102	12	intricate	intricate	ADJ
ajset-592	102	13	tricks	trick	NOUN
ajset-592	102	14	.	.	PUNCT
ajset-592	103	1	in	in	ADP
ajset-592	103	2	stark	stark	ADJ
ajset-592	103	3	contrast	contrast	NOUN
ajset-592	103	4	,	,	PUNCT
ajset-592	103	5	deep	deep	ADJ
ajset-592	103	6	neural	neural	ADJ
ajset-592	103	7	network	network	NOUN
ajset-592	103	8	provides	provide	VERB
ajset-592	103	9	a	a	DET
ajset-592	103	10	convenient	convenient	ADJ
ajset-592	103	11	way	way	NOUN
ajset-592	103	12	to	to	PART
ajset-592	103	13	seek	seek	VERB
ajset-592	103	14	the	the	DET
ajset-592	103	15	eigenfunctions	eigenfunction	NOUN
ajset-592	103	16	.	.	PUNCT
ajset-592	104	1	reference	reference	NOUN
ajset-592	104	2	[	[	X
ajset-592	104	3	33	33	NUM
ajset-592	104	4	]	]	PUNCT
ajset-592	104	5	reported	report	VERB
ajset-592	104	6	a	a	DET
ajset-592	104	7	neat	neat	ADJ
ajset-592	104	8	approach	approach	NOUN
ajset-592	104	9	based	base	VERB
ajset-592	104	10	on	on	ADP
ajset-592	104	11	a	a	DET
ajset-592	104	12	deep	deep	ADJ
ajset-592	104	13	autoencoder	autoencoder	NOUN
ajset-592	104	14	which	which	PRON
ajset-592	104	15	constitutes	constitute	VERB
ajset-592	104	16	a	a	DET
ajset-592	104	17	bijective	bijective	ADJ
ajset-592	104	18	mapping	mapping	NOUN
ajset-592	104	19	between	between	ADP
ajset-592	104	20	the	the	DET
ajset-592	104	21	original	original	ADJ
ajset-592	104	22	space	space	NOUN
ajset-592	104	23	and	and	CCONJ
ajset-592	104	24	the	the	DET
ajset-592	104	25	highdimensional	highdimensional	ADJ
ajset-592	104	26	linear	linear	ADJ
ajset-592	104	27	space	space	NOUN
ajset-592	104	28	and	and	CCONJ
ajset-592	104	29	approximates	approximate	VERB
ajset-592	104	30	the	the	DET
ajset-592	104	31	set	set	NOUN
ajset-592	104	32	of	of	ADP
ajset-592	104	33	the	the	DET
ajset-592	104	34	valid	valid	ADJ
ajset-592	104	35	eigenfunction	eigenfunction	NOUN
ajset-592	104	36	bases	basis	NOUN
ajset-592	104	37	(	(	PUNCT
ajset-592	104	38	see	see	VERB
ajset-592	104	39	figure	figure	NOUN
ajset-592	104	40	2a	2a	NUM
ajset-592	104	41	)	)	PUNCT
ajset-592	104	42	.	.	PUNCT
ajset-592	105	1	note	note	VERB
ajset-592	105	2	that	that	SCONJ
ajset-592	105	3	[	[	X
ajset-592	105	4	33	33	NUM
ajset-592	105	5	]	]	PUNCT
ajset-592	105	6	needs	need	VERB
ajset-592	105	7	an	an	DET
ajset-592	105	8	auxiliary	auxiliary	ADJ
ajset-592	105	9	neural	neural	ADJ
ajset-592	105	10	network	network	NOUN
ajset-592	105	11	to	to	PART
ajset-592	105	12	perform	perform	VERB
ajset-592	105	13	the	the	DET
ajset-592	105	14	koopman	koopman	NOUN
ajset-592	105	15	operator	operator	NOUN
ajset-592	105	16	,	,	PUNCT
ajset-592	105	17	and	and	CCONJ
ajset-592	105	18	it	it	PRON
ajset-592	105	19	substantially	substantially	ADV
ajset-592	105	20	increases	increase	VERB
ajset-592	105	21	the	the	DET
ajset-592	105	22	complexity	complexity	NOUN
ajset-592	105	23	.	.	PUNCT
ajset-592	106	1	as	as	ADP
ajset-592	106	2	such	such	ADJ
ajset-592	106	3	,	,	PUNCT
ajset-592	106	4	we	we	PRON
ajset-592	106	5	revise	revise	VERB
ajset-592	106	6	the	the	DET
ajset-592	106	7	neural	neural	ADJ
ajset-592	106	8	network	network	NOUN
ajset-592	106	9	presented	present	VERB
ajset-592	106	10	in	in	ADP
ajset-592	106	11	[	[	X
ajset-592	106	12	33	33	NUM
ajset-592	106	13	]	]	PUNCT
ajset-592	106	14	by	by	ADP
ajset-592	106	15	removing	remove	VERB
ajset-592	106	16	the	the	DET
ajset-592	106	17	auxiliary	auxiliary	ADJ
ajset-592	106	18	neural	neural	ADJ
ajset-592	106	19	network	network	NOUN
ajset-592	106	20	and	and	CCONJ
ajset-592	106	21	identifying	identify	VERB
ajset-592	106	22	the	the	DET
ajset-592	106	23	linear	linear	ADJ
ajset-592	106	24	operator	operator	NOUN
ajset-592	106	25	directly	directly	ADV
ajset-592	106	26	,	,	PUNCT
ajset-592	106	27	which	which	PRON
ajset-592	106	28	is	be	AUX
ajset-592	106	29	modeled	model	VERB
ajset-592	106	30	by	by	ADP
ajset-592	106	31	a	a	DET
ajset-592	106	32	linear	linear	ADJ
ajset-592	106	33	network	network	NOUN
ajset-592	106	34	(	(	PUNCT
ajset-592	106	35	see	see	VERB
ajset-592	106	36	figure	figure	NOUN
ajset-592	106	37	2b	2b	NOUN
ajset-592	106	38	)	)	PUNCT
ajset-592	106	39	.	.	PUNCT
ajset-592	107	1	subsequently	subsequently	ADV
ajset-592	107	2	,	,	PUNCT
ajset-592	107	3	we	we	PRON
ajset-592	107	4	specify	specify	VERB
ajset-592	107	5	the	the	DET
ajset-592	107	6	loss	loss	NOUN
ajset-592	107	7	function	function	NOUN
ajset-592	107	8	for	for	ADP
ajset-592	107	9	the	the	DET
ajset-592	107	10	dknn	dknn	PROPN
ajset-592	107	11	training	training	NOUN
ajset-592	107	12	.	.	PUNCT
ajset-592	108	1	the	the	DET
ajset-592	108	2	loss	loss	NOUN
ajset-592	108	3	function	function	NOUN
ajset-592	108	4	is	be	AUX
ajset-592	108	5	composed	compose	VERB
ajset-592	108	6	of	of	ADP
ajset-592	108	7	five	five	NUM
ajset-592	108	8	parts	part	NOUN
ajset-592	108	9	,	,	PUNCT
ajset-592	108	10	the	the	DET
ajset-592	108	11	first	first	ADJ
ajset-592	108	12	three	three	NUM
ajset-592	108	13	of	of	ADP
ajset-592	108	14	which	which	PRON
ajset-592	108	15	is	be	AUX
ajset-592	108	16	specified	specify	VERB
ajset-592	108	17	as	as	ADP
ajset-592	108	18	follows	follow	VERB
ajset-592	108	19	(	(	PUNCT
ajset-592	108	20	10	10	NUM
ajset-592	108	21	)	)	PUNCT
ajset-592	108	22	here	here	ADV
ajset-592	108	23	and	and	CCONJ
ajset-592	108	24	represent	represent	VERB
ajset-592	108	25	the	the	DET
ajset-592	108	26	reconstruction	reconstruction	NOUN
ajset-592	108	27	error	error	NOUN
ajset-592	108	28	and	and	CCONJ
ajset-592	108	29	one	one	NUM
ajset-592	108	30	-	-	PUNCT
ajset-592	108	31	step	step	NOUN
ajset-592	108	32	prediction	prediction	NOUN
ajset-592	108	33	error	error	NOUN
ajset-592	108	34	in	in	ADP
ajset-592	108	35	the	the	DET
ajset-592	108	36	original	original	ADJ
ajset-592	108	37	space	space	NOUN
ajset-592	108	38	respectively	respectively	ADV
ajset-592	108	39	,	,	PUNCT
ajset-592	108	40	and	and	CCONJ
ajset-592	108	41	is	be	AUX
ajset-592	108	42	the	the	DET
ajset-592	108	43	one	one	NUM
ajset-592	108	44	-	-	PUNCT
ajset-592	108	45	step	step	NOUN
ajset-592	108	46	prediction	prediction	NOUN
ajset-592	108	47	error	error	NOUN
ajset-592	108	48	in	in	ADP
ajset-592	108	49	the	the	DET
ajset-592	108	50	high	high	ADV
ajset-592	108	51	-	-	PUNCT
ajset-592	108	52	dimensional	dimensional	ADJ
ajset-592	108	53	linear	linear	ADJ
ajset-592	108	54	space	space	NOUN
ajset-592	108	55	(	(	PUNCT
ajset-592	108	56	see	see	VERB
ajset-592	108	57	figure	figure	NOUN
ajset-592	108	58	2c	2c	NUM
ajset-592	108	59	)	)	PUNCT
ajset-592	108	60	.	.	PUNCT
ajset-592	109	1	the	the	DET
ajset-592	109	2	subscript	subscript	PROPN
ajset-592	109	3	mse	mse	PROPN
ajset-592	109	4	stands	stand	VERB
ajset-592	109	5	for	for	ADP
ajset-592	109	6	mean	mean	ADJ
ajset-592	109	7	squared	square	VERB
ajset-592	109	8	error	error	NOUN
ajset-592	109	9	.	.	PUNCT
ajset-592	110	1	an	an	DET
ajset-592	110	2	term	term	NOUN
ajset-592	110	3	is	be	AUX
ajset-592	110	4	also	also	ADV
ajset-592	110	5	used	use	VERB
ajset-592	110	6	to	to	PART
ajset-592	110	7	penalize	penalize	VERB
ajset-592	110	8	the	the	DET
ajset-592	110	9	data	data	NOUN
ajset-592	110	10	point	point	NOUN
ajset-592	110	11	with	with	ADP
ajset-592	110	12	the	the	DET
ajset-592	110	13	largest	large	ADJ
ajset-592	110	14	loss	loss	NOUN
ajset-592	110	15	(	(	PUNCT
ajset-592	110	16	11	11	NUM
ajset-592	110	17	)	)	PUNCT
ajset-592	110	18	additionally	additionally	ADV
ajset-592	110	19	,	,	PUNCT
ajset-592	110	20	regularization	regularization	NOUN
ajset-592	110	21	is	be	AUX
ajset-592	110	22	imposed	impose	VERB
ajset-592	110	23	on	on	ADP
ajset-592	110	24	the	the	DET
ajset-592	110	25	neural	neural	ADJ
ajset-592	110	26	network	network	NOUN
ajset-592	110	27	weights	weight	VERB
ajset-592	110	28	to	to	PART
ajset-592	110	29	prevent	prevent	VERB
ajset-592	110	30	overfitting	overfitte	VERB
ajset-592	110	31	(	(	PUNCT
ajset-592	110	32	12	12	NUM
ajset-592	110	33	)	)	PUNCT
ajset-592	110	34	hence	hence	ADV
ajset-592	110	35	,	,	PUNCT
ajset-592	110	36	the	the	DET
ajset-592	110	37	total	total	ADJ
ajset-592	110	38	loss	loss	NOUN
ajset-592	110	39	function	function	NOUN
ajset-592	110	40	is	be	AUX
ajset-592	110	41	the	the	DET
ajset-592	110	42	weighted	weight	VERB
ajset-592	110	43	summation	summation	NOUN
ajset-592	110	44	of	of	ADP
ajset-592	110	45	all	all	DET
ajset-592	110	46	the	the	DET
ajset-592	110	47	five	five	NUM
ajset-592	110	48	parts	part	NOUN
ajset-592	110	49	(	(	PUNCT
ajset-592	110	50	13	13	NUM
ajset-592	110	51	)	)	PUNCT
ajset-592	110	52	where	where	SCONJ
ajset-592	110	53	for	for	ADP
ajset-592	110	54	stands	stand	NOUN
ajset-592	110	55	for	for	ADP
ajset-592	110	56	the	the	DET
ajset-592	110	57	weight	weight	NOUN
ajset-592	110	58	for	for	ADP
ajset-592	110	59	each	each	DET
ajset-592	110	60	parts	part	NOUN
ajset-592	110	61	in	in	ADP
ajset-592	110	62	the	the	DET
ajset-592	110	63	loss	loss	NOUN
ajset-592	110	64	function	function	NOUN
ajset-592	110	65	.	.	PUNCT
ajset-592	111	1	the	the	DET
ajset-592	111	2	dknn	dknn	PROPN
ajset-592	111	3	is	be	AUX
ajset-592	111	4	then	then	ADV
ajset-592	111	5	determined	determine	VERB
ajset-592	111	6	by	by	ADP
ajset-592	111	7	solving	solve	VERB
ajset-592	111	8	the	the	DET
ajset-592	111	9	optimization	optimization	NOUN
ajset-592	111	10	problem	problem	NOUN
ajset-592	111	11	.	.	PUNCT
ajset-592	112	1	for	for	ADP
ajset-592	112	2	sps	sps	NOUN
ajset-592	112	3	process	process	NOUN
ajset-592	112	4	monitoring	monitoring	NOUN
ajset-592	112	5	,	,	PUNCT
ajset-592	112	6	the	the	DET
ajset-592	112	7	input	input	NOUN
ajset-592	112	8	can	can	AUX
ajset-592	112	9	be	be	AUX
ajset-592	112	10	the	the	DET
ajset-592	112	11	moments	moment	NOUN
ajset-592	112	12	(	(	PUNCT
ajset-592	112	13	mean	mean	ADJ
ajset-592	112	14	,	,	PUNCT
ajset-592	112	15	variance	variance	NOUN
ajset-592	112	16	,	,	PUNCT
ajset-592	112	17	etc	etc	X
ajset-592	112	18	.	.	X
ajset-592	112	19	)	)	PUNCT
ajset-592	112	20	of	of	ADP
ajset-592	112	21	molecule	molecule	NOUN
ajset-592	112	22	counts	count	NOUN
ajset-592	112	23	of	of	ADP
ajset-592	112	24	interest	interest	NOUN
ajset-592	112	25	.	.	PUNCT
ajset-592	113	1	3.4	3.4	NUM
ajset-592	113	2	.	.	PUNCT
ajset-592	113	3	anomaly	anomaly	NOUN
ajset-592	113	4	detection	detection	NOUN
ajset-592	113	5	protocol	protocol	NOUN
ajset-592	113	6	with	with	ADP
ajset-592	113	7	the	the	DET
ajset-592	113	8	dknn	dknn	PROPN
ajset-592	113	9	model	model	NOUN
ajset-592	113	10	well	well	ADV
ajset-592	113	11	trained	train	VERB
ajset-592	113	12	,	,	PUNCT
ajset-592	113	13	it	it	PRON
ajset-592	113	14	is	be	AUX
ajset-592	113	15	possible	possible	ADJ
ajset-592	113	16	to	to	PART
ajset-592	113	17	calculate	calculate	VERB
ajset-592	113	18	the	the	DET
ajset-592	113	19	residues	residue	NOUN
ajset-592	113	20	between	between	ADP
ajset-592	113	21	the	the	DET
ajset-592	113	22	model	model	NOUN
ajset-592	113	23	predictions	prediction	NOUN
ajset-592	113	24	and	and	CCONJ
ajset-592	113	25	measurements	measurement	NOUN
ajset-592	113	26	.	.	PUNCT
ajset-592	114	1	given	give	VERB
ajset-592	114	2	the	the	DET
ajset-592	114	3	residues	residue	NOUN
ajset-592	114	4	yielded	yielded	AUX
ajset-592	114	5	,	,	PUNCT
ajset-592	114	6	the	the	DET
ajset-592	114	7	svdd	svdd	NOUN
ajset-592	114	8	is	be	AUX
ajset-592	114	9	used	use	VERB
ajset-592	114	10	to	to	PART
ajset-592	114	11	compute	compute	VERB
ajset-592	114	12	the	the	DET
ajset-592	114	13	90	90	NUM
ajset-592	114	14	%	%	NOUN
ajset-592	114	15	confidence	confidence	NOUN
ajset-592	114	16	threshold	threshold	NOUN
ajset-592	114	17	,	,	PUNCT
ajset-592	114	18	which	which	PRON
ajset-592	114	19	is	be	AUX
ajset-592	114	20	termed	term	VERB
ajset-592	114	21	as	as	ADP
ajset-592	114	22	radius	radius	NOUN
ajset-592	114	23	thereafter	thereafter	ADV
ajset-592	114	24	(	(	PUNCT
ajset-592	114	25	see	see	VERB
ajset-592	114	26	figure	figure	NOUN
ajset-592	114	27	3left	3left	NUM
ajset-592	114	28	)	)	PUNCT
ajset-592	114	29	.	.	PUNCT
ajset-592	115	1	in	in	ADP
ajset-592	115	2	practice	practice	NOUN
ajset-592	115	3	,	,	PUNCT
ajset-592	115	4	given	give	VERB
ajset-592	115	5	the	the	DET
ajset-592	115	6	historical	historical	ADJ
ajset-592	115	7	data	datum	NOUN
ajset-592	115	8	,	,	PUNCT
ajset-592	115	9	dknn	dknn	PROPN
ajset-592	115	10	casts	cast	VERB
ajset-592	115	11	one	one	NUM
ajset-592	115	12	-	-	PUNCT
ajset-592	115	13	step	step	NOUN
ajset-592	115	14	predictions	prediction	NOUN
ajset-592	115	15	,	,	PUNCT
ajset-592	115	16	which	which	PRON
ajset-592	115	17	are	be	AUX
ajset-592	115	18	used	use	VERB
ajset-592	115	19	to	to	PART
ajset-592	115	20	compute	compute	VERB
ajset-592	115	21	the	the	DET
ajset-592	115	22	residues	residue	NOUN
ajset-592	115	23	.	.	PUNCT
ajset-592	116	1	the	the	DET
ajset-592	116	2	yielded	yielded	ADJ
ajset-592	116	3	residues	residue	NOUN
ajset-592	116	4	are	be	AUX
ajset-592	116	5	compared	compare	VERB
ajset-592	116	6	with	with	ADP
ajset-592	116	7	the	the	DET
ajset-592	116	8	radius	radius	NOUN
ajset-592	116	9	obtained	obtain	VERB
ajset-592	116	10	before	before	ADV
ajset-592	116	11	.	.	PUNCT
ajset-592	117	1	if	if	SCONJ
ajset-592	117	2	a	a	DET
ajset-592	117	3	residue	residue	NOUN
ajset-592	117	4	is	be	AUX
ajset-592	117	5	larger	large	ADJ
ajset-592	117	6	than	than	ADP
ajset-592	117	7	the	the	DET
ajset-592	117	8	radius	radius	NOUN
ajset-592	117	9	,	,	PUNCT
ajset-592	117	10	an	an	DET
ajset-592	117	11	anomaly	anomaly	NOUN
ajset-592	117	12	is	be	AUX
ajset-592	117	13	detected	detect	VERB
ajset-592	117	14	.	.	PUNCT
ajset-592	118	1	otherwise	otherwise	ADV
ajset-592	118	2	,	,	PUNCT
ajset-592	118	3	the	the	DET
ajset-592	118	4	system	system	NOUN
ajset-592	118	5	is	be	AUX
ajset-592	118	6	still	still	ADV
ajset-592	118	7	running	run	VERB
ajset-592	118	8	normally	normally	ADV
ajset-592	118	9	(	(	PUNCT
ajset-592	118	10	see	see	VERB
ajset-592	118	11	figure	figure	NOUN
ajset-592	118	12	3right	3right	NUM
ajset-592	118	13	)	)	PUNCT
ajset-592	118	14	.	.	PUNCT
ajset-592	119	1	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	119	2	academic	academic	ADJ
ajset-592	119	3	journal	journal	NOUN
ajset-592	119	4	of	of	ADP
ajset-592	119	5	science	science	NOUN
ajset-592	119	6	,	,	PUNCT
ajset-592	119	7	engineering	engineering	NOUN
ajset-592	119	8	and	and	CCONJ
ajset-592	119	9	technology	technology	NOUN
ajset-592	119	10	vol.7	vol.7	PROPN
ajset-592	119	11	,	,	PUNCT
ajset-592	119	12	issue	issue	NOUN
ajset-592	119	13	1	1	NUM
ajset-592	119	14	;	;	PUNCT
ajset-592	119	15	january	january	PROPN
ajset-592	119	16	febuary	febuary	PROPN
ajset-592	119	17	2022	2022	NUM
ajset-592	119	18	;	;	PUNCT
ajset-592	119	19	1252	1252	NUM
ajset-592	119	20	columbia	columbia	PROPN
ajset-592	119	21	rd	rd	PROPN
ajset-592	119	22	nw	nw	PROPN
ajset-592	119	23	,	,	PUNCT
ajset-592	119	24	washington	washington	PROPN
ajset-592	119	25	dc	dc	PROPN
ajset-592	119	26	,	,	PUNCT
ajset-592	119	27	united	united	PROPN
ajset-592	119	28	states	states	PROPN
ajset-592	119	29	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	119	30	;	;	PUNCT
ajset-592	119	31	mail	mail	NOUN
ajset-592	119	32	:	:	PUNCT
ajset-592	120	1	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	120	2	20	20	NUM
ajset-592	121	1	|	|	ADV
ajset-592	121	2	a	a	DET
ajset-592	121	3	c	c	NOUN
ajset-592	121	4	a	a	PRON
ajset-592	121	5	d	d	X
ajset-592	121	6	e	e	NOUN
ajset-592	121	7	m	m	NOUN
ajset-592	121	8	i	i	NOUN
ajset-592	121	9	c	c	NOUN
ajset-592	121	10	j	j	NOUN
ajset-592	121	11	o	o	X
ajset-592	121	12	u	u	NOUN
ajset-592	121	13	r	r	NOUN
ajset-592	121	14	n	n	NOUN
ajset-592	121	15	a	a	DET
ajset-592	121	16	l	l	NOUN
ajset-592	122	1	o	o	X
ajset-592	122	2	f	f	X
ajset-592	122	3	s	s	X
ajset-592	122	4	c	c	NOUN
ajset-592	123	1	i	i	NOUN
ajset-592	123	2	e	e	PROPN
ajset-592	123	3	n	n	PROPN
ajset-592	123	4	c	c	NOUN
ajset-592	123	5	e	e	X
ajset-592	123	6	,	,	PUNCT
ajset-592	123	7	e	e	PROPN
ajset-592	123	8	n	n	PRON
ajset-592	123	9	g	g	NOUN
ajset-592	123	10	i	i	PRON
ajset-592	123	11	n	n	VERB
ajset-592	123	12	e	e	NOUN
ajset-592	123	13	e	e	NOUN
ajset-592	123	14	r	r	VERB
ajset-592	123	15	i	i	PRON
ajset-592	123	16	n	n	CCONJ
ajset-592	123	17	g	g	PROPN
ajset-592	123	18	a	a	DET
ajset-592	123	19	n	n	NOUN
ajset-592	123	20	d	d	NOUN
ajset-592	123	21	t	t	NOUN
ajset-592	123	22	e	e	X
ajset-592	123	23	c	c	NOUN
ajset-592	123	24	h	h	NOUN
ajset-592	123	25	n	n	ADV
ajset-592	123	26	o	o	NOUN
ajset-592	123	27	l	l	NOUN
ajset-592	124	1	o	o	X
ajset-592	124	2	g	g	NOUN
ajset-592	124	3	y	y	PROPN
ajset-592	124	4	|	|	ADV
ajset-592	124	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	124	6	figure	figure	NOUN
ajset-592	124	7	4	4	NUM
ajset-592	124	8	:	:	PUNCT
ajset-592	124	9	stochastic	stochastic	ADJ
ajset-592	124	10	simulations	simulation	NOUN
ajset-592	124	11	for	for	ADP
ajset-592	124	12	example	example	NOUN
ajset-592	124	13	1	1	NUM
ajset-592	124	14	.	.	X
ajset-592	124	15	figure	figure	VERB
ajset-592	124	16	5	5	NUM
ajset-592	124	17	:	:	PUNCT
ajset-592	124	18	dknn	dknn	ADJ
ajset-592	124	19	process	process	NOUN
ajset-592	124	20	monitoring	monitoring	NOUN
ajset-592	124	21	for	for	ADP
ajset-592	124	22	example	example	NOUN
ajset-592	124	23	1	1	NUM
ajset-592	124	24	based	base	VERB
ajset-592	124	25	on	on	ADP
ajset-592	124	26	mean	mean	ADJ
ajset-592	124	27	-	-	PUNCT
ajset-592	124	28	value	value	NOUN
ajset-592	124	29	data	datum	NOUN
ajset-592	124	30	.	.	PUNCT
ajset-592	125	1	(	(	PUNCT
ajset-592	125	2	a	a	X
ajset-592	125	3	)	)	PUNCT
ajset-592	125	4	shows	show	VERB
ajset-592	125	5	the	the	DET
ajset-592	125	6	dknn	dknn	PROPN
ajset-592	125	7	model	model	NOUN
ajset-592	125	8	based	base	VERB
ajset-592	125	9	on	on	ADP
ajset-592	125	10	mean	mean	ADJ
ajset-592	125	11	-	-	PUNCT
ajset-592	125	12	value	value	NOUN
ajset-592	125	13	data	datum	NOUN
ajset-592	125	14	cast	cast	VERB
ajset-592	125	15	precise	precise	ADJ
ajset-592	125	16	one	one	NUM
ajset-592	125	17	-	-	PUNCT
ajset-592	125	18	step	step	NOUN
ajset-592	125	19	predictions	prediction	NOUN
ajset-592	125	20	,	,	PUNCT
ajset-592	125	21	as	as	SCONJ
ajset-592	125	22	predictions	prediction	NOUN
ajset-592	125	23	(	(	PUNCT
ajset-592	125	24	green	green	ADJ
ajset-592	125	25	dots	dot	NOUN
ajset-592	125	26	)	)	PUNCT
ajset-592	125	27	are	be	AUX
ajset-592	125	28	close	close	ADJ
ajset-592	125	29	to	to	ADP
ajset-592	125	30	the	the	DET
ajset-592	125	31	line	line	NOUN
ajset-592	125	32	(	(	PUNCT
ajset-592	125	33	purple	purple	ADJ
ajset-592	125	34	)	)	PUNCT
ajset-592	125	35	.	.	PUNCT
ajset-592	126	1	(	(	PUNCT
ajset-592	126	2	b	b	X
ajset-592	126	3	)	)	PUNCT
ajset-592	126	4	svdd	svdd	PROPN
ajset-592	126	5	calculates	calculate	VERB
ajset-592	126	6	the	the	DET
ajset-592	126	7	radius	radius	NOUN
ajset-592	126	8	(	(	PUNCT
ajset-592	126	9	red	red	PROPN
ajset-592	126	10	)	)	PUNCT
ajset-592	126	11	for	for	ADP
ajset-592	126	12	anomaly	anomaly	NOUN
ajset-592	126	13	detection	detection	NOUN
ajset-592	126	14	and	and	CCONJ
ajset-592	126	15	most	most	ADJ
ajset-592	126	16	samples	sample	NOUN
ajset-592	126	17	(	(	PUNCT
ajset-592	126	18	green	green	ADJ
ajset-592	126	19	dots	dot	NOUN
ajset-592	126	20	)	)	PUNCT
ajset-592	126	21	are	be	AUX
ajset-592	126	22	contained	contain	VERB
ajset-592	126	23	within	within	ADP
ajset-592	126	24	the	the	DET
ajset-592	126	25	radius	radius	NOUN
ajset-592	126	26	.	.	PUNCT
ajset-592	127	1	figure	figure	VERB
ajset-592	127	2	6	6	NUM
ajset-592	127	3	:	:	PUNCT
ajset-592	127	4	sensitivity	sensitivity	NOUN
ajset-592	127	5	of	of	ADP
ajset-592	127	6	moments	moment	NOUN
ajset-592	127	7	against	against	ADP
ajset-592	127	8	anomaly	anomaly	NOUN
ajset-592	127	9	.	.	PUNCT
ajset-592	128	1	the	the	DET
ajset-592	128	2	anomaly	anomaly	NOUN
ajset-592	128	3	occurs	occur	VERB
ajset-592	128	4	at	at	ADP
ajset-592	128	5	time	time	NOUN
ajset-592	128	6	.	.	PUNCT
ajset-592	129	1	all	all	DET
ajset-592	129	2	the	the	DET
ajset-592	129	3	moments	moment	NOUN
ajset-592	129	4	are	be	AUX
ajset-592	129	5	normalized	normalize	VERB
ajset-592	129	6	for	for	ADP
ajset-592	129	7	visual	visual	ADJ
ajset-592	129	8	convenience	convenience	NOUN
ajset-592	129	9	,	,	PUNCT
ajset-592	129	10	and	and	CCONJ
ajset-592	129	11	the	the	DET
ajset-592	129	12	normalization	normalization	NOUN
ajset-592	129	13	methods	method	NOUN
ajset-592	129	14	are	be	AUX
ajset-592	129	15	stated	state	VERB
ajset-592	129	16	in	in	ADP
ajset-592	129	17	appendix	appendix	NOUN
ajset-592	129	18	6.2	6.2	NUM
ajset-592	129	19	.	.	PUNCT
ajset-592	130	1	moments	moment	NOUN
ajset-592	130	2	of	of	ADP
ajset-592	130	3	order	order	NOUN
ajset-592	130	4	higher	high	ADJ
ajset-592	130	5	or	or	CCONJ
ajset-592	130	6	equal	equal	ADJ
ajset-592	130	7	to	to	ADP
ajset-592	130	8	2	2	NUM
ajset-592	130	9	are	be	AUX
ajset-592	130	10	sensitive	sensitive	ADJ
ajset-592	130	11	to	to	PART
ajset-592	130	12	anomaly	anomaly	VERB
ajset-592	130	13	,	,	PUNCT
ajset-592	130	14	while	while	SCONJ
ajset-592	130	15	the	the	DET
ajset-592	130	16	mean	mean	ADJ
ajset-592	130	17	value	value	NOUN
ajset-592	130	18	is	be	AUX
ajset-592	130	19	not	not	PART
ajset-592	130	20	.	.	PUNCT
ajset-592	131	1	table	table	NOUN
ajset-592	131	2	1	1	NUM
ajset-592	131	3	:	:	PUNCT
ajset-592	131	4	anomaly	anomaly	NOUN
ajset-592	131	5	detection	detection	NOUN
ajset-592	131	6	f	f	NOUN
ajset-592	131	7	-	-	PUNCT
ajset-592	131	8	scores	score	NOUN
ajset-592	131	9	test	test	NOUN
ajset-592	131	10	result	result	NOUN
ajset-592	131	11	for	for	ADP
ajset-592	131	12	mean	mean	ADV
ajset-592	131	13	-	-	PUNCT
ajset-592	131	14	valued	value	VERB
ajset-592	131	15	data	datum	NOUN
ajset-592	131	16	of	of	ADP
ajset-592	131	17	example	example	NOUN
ajset-592	131	18	1	1	NUM
ajset-592	131	19	.	.	PUNCT
ajset-592	132	1	confidence	confidence	NOUN
ajset-592	132	2	90	90	NUM
ajset-592	132	3	%	%	NOUN
ajset-592	132	4	time	time	NOUN
ajset-592	132	5	(	(	PUNCT
ajset-592	132	6	min	min	NOUN
ajset-592	132	7	)	)	PUNCT
ajset-592	132	8	401	401	NUM
ajset-592	132	9	420	420	NUM
ajset-592	132	10	450	450	NUM
ajset-592	132	11	480	480	NUM
ajset-592	132	12	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	132	13	academic	academic	ADJ
ajset-592	132	14	journal	journal	NOUN
ajset-592	132	15	of	of	ADP
ajset-592	132	16	science	science	NOUN
ajset-592	132	17	,	,	PUNCT
ajset-592	132	18	engineering	engineering	NOUN
ajset-592	132	19	and	and	CCONJ
ajset-592	132	20	technology	technology	NOUN
ajset-592	132	21	vol.7	vol.7	PROPN
ajset-592	132	22	,	,	PUNCT
ajset-592	132	23	issue	issue	NOUN
ajset-592	132	24	1	1	NUM
ajset-592	132	25	;	;	PUNCT
ajset-592	132	26	january	january	PROPN
ajset-592	132	27	febuary	febuary	PROPN
ajset-592	132	28	2022	2022	NUM
ajset-592	132	29	;	;	PUNCT
ajset-592	132	30	1252	1252	NUM
ajset-592	132	31	columbia	columbia	PROPN
ajset-592	132	32	rd	rd	PROPN
ajset-592	132	33	nw	nw	PROPN
ajset-592	132	34	,	,	PUNCT
ajset-592	132	35	washington	washington	PROPN
ajset-592	132	36	dc	dc	PROPN
ajset-592	132	37	,	,	PUNCT
ajset-592	132	38	united	united	PROPN
ajset-592	132	39	states	states	PROPN
ajset-592	132	40	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	132	41	;	;	PUNCT
ajset-592	132	42	mail	mail	NOUN
ajset-592	132	43	:	:	PUNCT
ajset-592	132	44	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	133	1	21	21	NUM
ajset-592	134	1	|	|	ADV
ajset-592	134	2	a	a	DET
ajset-592	134	3	c	c	NOUN
ajset-592	134	4	a	a	PRON
ajset-592	134	5	d	d	X
ajset-592	134	6	e	e	NOUN
ajset-592	134	7	m	m	NOUN
ajset-592	134	8	i	i	NOUN
ajset-592	134	9	c	c	NOUN
ajset-592	134	10	j	j	NOUN
ajset-592	134	11	o	o	X
ajset-592	134	12	u	u	NOUN
ajset-592	134	13	r	r	NOUN
ajset-592	134	14	n	n	NOUN
ajset-592	134	15	a	a	DET
ajset-592	134	16	l	l	NOUN
ajset-592	135	1	o	o	X
ajset-592	135	2	f	f	X
ajset-592	135	3	s	s	X
ajset-592	135	4	c	c	NOUN
ajset-592	136	1	i	i	NOUN
ajset-592	136	2	e	e	PROPN
ajset-592	136	3	n	n	PROPN
ajset-592	136	4	c	c	NOUN
ajset-592	136	5	e	e	X
ajset-592	136	6	,	,	PUNCT
ajset-592	136	7	e	e	PROPN
ajset-592	136	8	n	n	PRON
ajset-592	136	9	g	g	NOUN
ajset-592	136	10	i	i	PRON
ajset-592	136	11	n	n	VERB
ajset-592	136	12	e	e	NOUN
ajset-592	136	13	e	e	NOUN
ajset-592	136	14	r	r	VERB
ajset-592	136	15	i	i	PRON
ajset-592	136	16	n	n	CCONJ
ajset-592	136	17	g	g	PROPN
ajset-592	136	18	a	a	DET
ajset-592	136	19	n	n	NOUN
ajset-592	136	20	d	d	NOUN
ajset-592	136	21	t	t	NOUN
ajset-592	136	22	e	e	X
ajset-592	136	23	c	c	NOUN
ajset-592	136	24	h	h	NOUN
ajset-592	136	25	n	n	ADV
ajset-592	136	26	o	o	NOUN
ajset-592	136	27	l	l	NOUN
ajset-592	137	1	o	o	X
ajset-592	137	2	g	g	NOUN
ajset-592	137	3	y	y	PROPN
ajset-592	137	4	|	|	ADV
ajset-592	137	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	137	6	f	f	NOUN
ajset-592	137	7	-	-	PUNCT
ajset-592	137	8	score	score	NOUN
ajset-592	137	9	(	(	PUNCT
ajset-592	137	10	%	%	INTJ
ajset-592	137	11	)	)	PUNCT
ajset-592	137	12	15.365	15.365	NUM
ajset-592	137	13	11.645	11.645	NUM
ajset-592	137	14	14.155	14.155	NUM
ajset-592	137	15	12.744	12.744	NUM
ajset-592	137	16	figure	figure	NOUN
ajset-592	137	17	7	7	NUM
ajset-592	137	18	:	:	PUNCT
ajset-592	137	19	accuracy	accuracy	NOUN
ajset-592	137	20	of	of	ADP
ajset-592	137	21	dknn	dknn	PROPN
ajset-592	137	22	models	model	NOUN
ajset-592	137	23	one	one	NUM
ajset-592	137	24	-	-	PUNCT
ajset-592	137	25	step	step	NOUN
ajset-592	137	26	prediction	prediction	NOUN
ajset-592	137	27	for	for	ADP
ajset-592	137	28	different	different	ADJ
ajset-592	137	29	orders	order	NOUN
ajset-592	137	30	of	of	ADP
ajset-592	137	31	moments	moment	NOUN
ajset-592	137	32	.	.	PUNCT
ajset-592	138	1	dknn	dknn	PROPN
ajset-592	138	2	model	model	PROPN
ajset-592	138	3	trained	train	VERB
ajset-592	138	4	on	on	ADP
ajset-592	138	5	a	a	DET
ajset-592	138	6	dataset	dataset	NOUN
ajset-592	138	7	containing	contain	VERB
ajset-592	138	8	(	(	PUNCT
ajset-592	138	9	a	a	NOUN
ajset-592	138	10	)	)	PUNCT
ajset-592	138	11	mean	mean	NOUN
ajset-592	138	12	and	and	CCONJ
ajset-592	138	13	variance	variance	NOUN
ajset-592	138	14	;	;	PUNCT
ajset-592	138	15	(	(	PUNCT
ajset-592	138	16	b	b	X
ajset-592	138	17	)	)	PUNCT
ajset-592	138	18	mean	mean	ADJ
ajset-592	138	19	,	,	PUNCT
ajset-592	138	20	variance	variance	NOUN
ajset-592	138	21	and	and	CCONJ
ajset-592	138	22	third	third	ADJ
ajset-592	138	23	-	-	PUNCT
ajset-592	138	24	order	order	NOUN
ajset-592	138	25	moment	moment	NOUN
ajset-592	138	26	;	;	PUNCT
ajset-592	138	27	(	(	PUNCT
ajset-592	138	28	c	c	X
ajset-592	138	29	)	)	PUNCT
ajset-592	138	30	mean	mean	NOUN
ajset-592	138	31	,	,	PUNCT
ajset-592	138	32	variance	variance	NOUN
ajset-592	138	33	,	,	PUNCT
ajset-592	138	34	third	third	ADJ
ajset-592	138	35	-	-	PUNCT
ajset-592	138	36	order	order	NOUN
ajset-592	138	37	moment	moment	NOUN
ajset-592	138	38	and	and	CCONJ
ajset-592	138	39	fourth	fourth	ADJ
ajset-592	138	40	-	-	PUNCT
ajset-592	138	41	order	order	NOUN
ajset-592	138	42	moment	moment	NOUN
ajset-592	138	43	.	.	PUNCT
ajset-592	139	1	figure	figure	VERB
ajset-592	139	2	8	8	NUM
ajset-592	139	3	:	:	PUNCT
ajset-592	139	4	f	f	X
ajset-592	139	5	-	-	PUNCT
ajset-592	139	6	score	score	NOUN
ajset-592	139	7	of	of	ADP
ajset-592	139	8	temporal	temporal	ADJ
ajset-592	139	9	anomaly	anomaly	NOUN
ajset-592	139	10	detection	detection	NOUN
ajset-592	139	11	of	of	ADP
ajset-592	139	12	three	three	NUM
ajset-592	139	13	dknn	dknn	ADJ
ajset-592	139	14	model	model	NOUN
ajset-592	139	15	trained	train	VERB
ajset-592	139	16	on	on	ADP
ajset-592	139	17	dataset	dataset	NOUN
ajset-592	139	18	containing	contain	VERB
ajset-592	139	19	moments	moment	NOUN
ajset-592	139	20	of	of	ADP
ajset-592	139	21	order	order	NOUN
ajset-592	139	22	up	up	ADP
ajset-592	139	23	to	to	PART
ajset-592	139	24	2	2	NUM
ajset-592	139	25	,	,	PUNCT
ajset-592	139	26	3	3	NUM
ajset-592	139	27	and	and	CCONJ
ajset-592	139	28	4	4	NUM
ajset-592	139	29	.	.	NOUN
ajset-592	139	30	4	4	NUM
ajset-592	139	31	.	.	NOUN
ajset-592	139	32	results	result	NOUN
ajset-592	139	33	next	next	ADV
ajset-592	139	34	we	we	PRON
ajset-592	139	35	unfold	unfold	VERB
ajset-592	139	36	the	the	DET
ajset-592	139	37	process	process	NOUN
ajset-592	139	38	monitoring	monitor	VERB
ajset-592	139	39	protocols	protocol	NOUN
ajset-592	139	40	on	on	ADP
ajset-592	139	41	two	two	NUM
ajset-592	139	42	canonical	canonical	ADJ
ajset-592	139	43	examples	example	NOUN
ajset-592	139	44	with	with	ADP
ajset-592	139	45	both	both	PRON
ajset-592	139	46	firmly	firmly	ADV
ajset-592	139	47	rooted	root	VERB
ajset-592	139	48	in	in	ADP
ajset-592	139	49	sps	sps	PROPN
ajset-592	139	50	.	.	PUNCT
ajset-592	140	1	4.1	4.1	NUM
ajset-592	140	2	.	.	PUNCT
ajset-592	140	3	example	example	NOUN
ajset-592	140	4	1	1	NUM
ajset-592	140	5	the	the	DET
ajset-592	140	6	first	first	ADJ
ajset-592	140	7	canonical	canonical	ADJ
ajset-592	140	8	example	example	NOUN
ajset-592	140	9	considered	consider	VERB
ajset-592	140	10	comprises	comprise	VERB
ajset-592	140	11	the	the	DET
ajset-592	140	12	following	follow	VERB
ajset-592	140	13	set	set	NOUN
ajset-592	140	14	of	of	ADP
ajset-592	140	15	biochemical	biochemical	ADJ
ajset-592	140	16	reactions	reaction	NOUN
ajset-592	140	17	:	:	PUNCT
ajset-592	140	18	(	(	PUNCT
ajset-592	140	19	14	14	NUM
ajset-592	140	20	)	)	PUNCT
ajset-592	140	21	where	where	SCONJ
ajset-592	140	22	stands	stand	VERB
ajset-592	140	23	for	for	ADP
ajset-592	140	24	a	a	DET
ajset-592	140	25	protein	protein	NOUN
ajset-592	140	26	of	of	ADP
ajset-592	140	27	interest	interest	NOUN
ajset-592	140	28	.	.	PUNCT
ajset-592	141	1	the	the	DET
ajset-592	141	2	first	first	ADJ
ajset-592	141	3	reaction	reaction	NOUN
ajset-592	141	4	in	in	ADP
ajset-592	141	5	(	(	PUNCT
ajset-592	141	6	14	14	NUM
ajset-592	141	7	)	)	PUNCT
ajset-592	141	8	in	in	ADP
ajset-592	141	9	fact	fact	NOUN
ajset-592	141	10	represent	represent	VERB
ajset-592	141	11	a	a	DET
ajset-592	141	12	group	group	NOUN
ajset-592	141	13	of	of	ADP
ajset-592	141	14	reactions	reaction	NOUN
ajset-592	141	15	,	,	PUNCT
ajset-592	141	16	and	and	CCONJ
ajset-592	141	17	means	mean	VERB
ajset-592	141	18	that	that	SCONJ
ajset-592	141	19	the	the	DET
ajset-592	141	20	protein	protein	NOUN
ajset-592	141	21	is	be	AUX
ajset-592	141	22	produced	produce	VERB
ajset-592	141	23	in	in	ADP
ajset-592	141	24	bursts	burst	NOUN
ajset-592	141	25	,	,	PUNCT
ajset-592	141	26	whose	whose	DET
ajset-592	141	27	size	size	NOUN
ajset-592	141	28	conforms	conform	VERB
ajset-592	141	29	to	to	ADP
ajset-592	141	30	a	a	DET
ajset-592	141	31	geometric	geometric	ADJ
ajset-592	141	32	distribution	distribution	NOUN
ajset-592	141	33	parametrized	parametrize	VERB
ajset-592	141	34	by	by	ADP
ajset-592	141	35	,	,	PUNCT
ajset-592	141	36	while	while	SCONJ
ajset-592	141	37	the	the	DET
ajset-592	141	38	second	second	NOUN
ajset-592	141	39	stands	stand	VERB
ajset-592	141	40	for	for	ADP
ajset-592	141	41	the	the	DET
ajset-592	141	42	degradation	degradation	NOUN
ajset-592	141	43	of	of	ADP
ajset-592	141	44	protein	protein	NOUN
ajset-592	141	45	or	or	CCONJ
ajset-592	141	46	its	its	PRON
ajset-592	141	47	loss	loss	NOUN
ajset-592	141	48	of	of	ADP
ajset-592	141	49	functionality	functionality	NOUN
ajset-592	141	50	.	.	PUNCT
ajset-592	142	1	the	the	DET
ajset-592	142	2	system	system	NOUN
ajset-592	142	3	(	(	PUNCT
ajset-592	142	4	14	14	NUM
ajset-592	142	5	)	)	PUNCT
ajset-592	142	6	is	be	AUX
ajset-592	142	7	known	know	VERB
ajset-592	142	8	as	as	ADP
ajset-592	142	9	bursty	bursty	NOUN
ajset-592	142	10	system	system	NOUN
ajset-592	142	11	in	in	ADP
ajset-592	142	12	literature	literature	NOUN
ajset-592	142	13	,	,	PUNCT
ajset-592	142	14	and	and	CCONJ
ajset-592	142	15	was	be	AUX
ajset-592	142	16	found	find	VERB
ajset-592	142	17	to	to	PART
ajset-592	142	18	adequately	adequately	ADV
ajset-592	142	19	characterize	characterize	VERB
ajset-592	142	20	the	the	DET
ajset-592	142	21	stochastic	stochastic	ADJ
ajset-592	142	22	dynamics	dynamic	NOUN
ajset-592	142	23	of	of	ADP
ajset-592	142	24	most	most	ADJ
ajset-592	142	25	genes	gene	NOUN
ajset-592	142	26	in	in	ADP
ajset-592	142	27	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	142	28	academic	academic	ADJ
ajset-592	142	29	journal	journal	NOUN
ajset-592	142	30	of	of	ADP
ajset-592	142	31	science	science	NOUN
ajset-592	142	32	,	,	PUNCT
ajset-592	142	33	engineering	engineering	NOUN
ajset-592	142	34	and	and	CCONJ
ajset-592	142	35	technology	technology	NOUN
ajset-592	142	36	vol.7	vol.7	PROPN
ajset-592	142	37	,	,	PUNCT
ajset-592	142	38	issue	issue	NOUN
ajset-592	142	39	1	1	NUM
ajset-592	142	40	;	;	PUNCT
ajset-592	142	41	january	january	PROPN
ajset-592	142	42	febuary	febuary	PROPN
ajset-592	142	43	2022	2022	NUM
ajset-592	142	44	;	;	PUNCT
ajset-592	142	45	1252	1252	NUM
ajset-592	142	46	columbia	columbia	PROPN
ajset-592	142	47	rd	rd	PROPN
ajset-592	142	48	nw	nw	PROPN
ajset-592	142	49	,	,	PUNCT
ajset-592	142	50	washington	washington	PROPN
ajset-592	142	51	dc	dc	PROPN
ajset-592	142	52	,	,	PUNCT
ajset-592	142	53	united	united	PROPN
ajset-592	142	54	states	states	PROPN
ajset-592	142	55	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	142	56	;	;	PUNCT
ajset-592	142	57	mail	mail	NOUN
ajset-592	142	58	:	:	PUNCT
ajset-592	143	1	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	143	2	22	22	NUM
ajset-592	144	1	|	|	ADV
ajset-592	144	2	a	a	DET
ajset-592	144	3	c	c	NOUN
ajset-592	144	4	a	a	PRON
ajset-592	144	5	d	d	X
ajset-592	144	6	e	e	NOUN
ajset-592	144	7	m	m	NOUN
ajset-592	144	8	i	i	NOUN
ajset-592	144	9	c	c	NOUN
ajset-592	144	10	j	j	NOUN
ajset-592	144	11	o	o	X
ajset-592	144	12	u	u	NOUN
ajset-592	144	13	r	r	NOUN
ajset-592	144	14	n	n	NOUN
ajset-592	144	15	a	a	DET
ajset-592	144	16	l	l	NOUN
ajset-592	145	1	o	o	X
ajset-592	145	2	f	f	X
ajset-592	145	3	s	s	X
ajset-592	145	4	c	c	NOUN
ajset-592	146	1	i	i	NOUN
ajset-592	146	2	e	e	PROPN
ajset-592	146	3	n	n	PROPN
ajset-592	146	4	c	c	NOUN
ajset-592	146	5	e	e	X
ajset-592	146	6	,	,	PUNCT
ajset-592	146	7	e	e	PROPN
ajset-592	146	8	n	n	PRON
ajset-592	146	9	g	g	NOUN
ajset-592	146	10	i	i	PRON
ajset-592	146	11	n	n	VERB
ajset-592	146	12	e	e	NOUN
ajset-592	146	13	e	e	NOUN
ajset-592	146	14	r	r	VERB
ajset-592	146	15	i	i	PRON
ajset-592	146	16	n	n	CCONJ
ajset-592	146	17	g	g	PROPN
ajset-592	146	18	a	a	DET
ajset-592	146	19	n	n	NOUN
ajset-592	146	20	d	d	NOUN
ajset-592	146	21	t	t	NOUN
ajset-592	146	22	e	e	X
ajset-592	146	23	c	c	NOUN
ajset-592	146	24	h	h	NOUN
ajset-592	146	25	n	n	ADV
ajset-592	146	26	o	o	NOUN
ajset-592	146	27	l	l	NOUN
ajset-592	147	1	o	o	X
ajset-592	147	2	g	g	NOUN
ajset-592	147	3	y	y	PROPN
ajset-592	147	4	|	|	ADV
ajset-592	147	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	147	6	mammalian	mammalian	ADJ
ajset-592	147	7	or	or	CCONJ
ajset-592	147	8	human	human	ADJ
ajset-592	147	9	cells	cell	NOUN
ajset-592	147	10	[	[	X
ajset-592	147	11	40	40	NUM
ajset-592	147	12	]	]	PUNCT
ajset-592	147	13	.	.	PUNCT
ajset-592	148	1	the	the	DET
ajset-592	148	2	burst	burst	ADJ
ajset-592	148	3	frequency	frequency	NOUN
ajset-592	148	4	is	be	AUX
ajset-592	148	5	selected	select	VERB
ajset-592	148	6	as	as	ADP
ajset-592	148	7	0.0282	0.0282	NUM
ajset-592	148	8	min-1	min-1	NOUN
ajset-592	148	9	,	,	PUNCT
ajset-592	148	10	the	the	DET
ajset-592	148	11	mean	mean	ADJ
ajset-592	148	12	burst	burst	ADJ
ajset-592	148	13	size	size	NOUN
ajset-592	148	14	is	be	AUX
ajset-592	148	15	3.46	3.46	NUM
ajset-592	148	16	,	,	PUNCT
ajset-592	148	17	and	and	CCONJ
ajset-592	148	18	the	the	DET
ajset-592	148	19	degradation	degradation	NOUN
ajset-592	148	20	rate	rate	NOUN
ajset-592	148	21	constant	constant	ADJ
ajset-592	148	22	is	be	AUX
ajset-592	148	23	0.01	0.01	NUM
ajset-592	148	24	min-1	min-1	X
ajset-592	148	25	.	.	PUNCT
ajset-592	149	1	these	these	DET
ajset-592	149	2	kinetic	kinetic	ADJ
ajset-592	149	3	parameters	parameter	NOUN
ajset-592	149	4	correspond	correspond	VERB
ajset-592	149	5	to	to	ADP
ajset-592	149	6	those	those	PRON
ajset-592	149	7	associated	associate	VERB
ajset-592	149	8	with	with	ADP
ajset-592	149	9	gene	gene	NOUN
ajset-592	149	10	nanog	nanog	PROPN
ajset-592	149	11	in	in	ADP
ajset-592	149	12	mouse	mouse	NOUN
ajset-592	149	13	embryonic	embryonic	ADJ
ajset-592	149	14	stem	stem	NOUN
ajset-592	149	15	cells	cell	NOUN
ajset-592	149	16	[	[	X
ajset-592	149	17	40	40	NUM
ajset-592	149	18	]	]	PUNCT
ajset-592	149	19	.	.	PUNCT
ajset-592	150	1	we	we	PRON
ajset-592	150	2	first	first	ADV
ajset-592	150	3	simulate	simulate	VERB
ajset-592	150	4	the	the	DET
ajset-592	150	5	system	system	NOUN
ajset-592	150	6	(	(	PUNCT
ajset-592	150	7	14	14	NUM
ajset-592	150	8	)	)	PUNCT
ajset-592	150	9	by	by	ADP
ajset-592	150	10	means	mean	NOUN
ajset-592	150	11	of	of	ADP
ajset-592	150	12	ssa	ssa	NOUN
ajset-592	150	13	for	for	ADP
ajset-592	150	14	1	1	NUM
ajset-592	150	15	,	,	PUNCT
ajset-592	150	16	10	10	NUM
ajset-592	150	17	,	,	PUNCT
ajset-592	150	18	100	100	NUM
ajset-592	150	19	and	and	CCONJ
ajset-592	150	20	1000	1000	NUM
ajset-592	150	21	realizations	realization	NOUN
ajset-592	150	22	and	and	CCONJ
ajset-592	150	23	each	each	PRON
ajset-592	150	24	for	for	ADP
ajset-592	150	25	two	two	NUM
ajset-592	150	26	sets	set	NOUN
ajset-592	150	27	.	.	PUNCT
ajset-592	151	1	in	in	ADP
ajset-592	151	2	either	either	CCONJ
ajset-592	151	3	set	set	NOUN
ajset-592	151	4	,	,	PUNCT
ajset-592	151	5	the	the	DET
ajset-592	151	6	protein	protein	NOUN
ajset-592	151	7	numbers	number	NOUN
ajset-592	151	8	are	be	AUX
ajset-592	151	9	averaged	average	VERB
ajset-592	151	10	for	for	ADP
ajset-592	151	11	all	all	DET
ajset-592	151	12	realizations	realization	NOUN
ajset-592	151	13	at	at	ADP
ajset-592	151	14	each	each	DET
ajset-592	151	15	time	time	NOUN
ajset-592	151	16	point	point	NOUN
ajset-592	151	17	.	.	PUNCT
ajset-592	152	1	the	the	DET
ajset-592	152	2	results	result	NOUN
ajset-592	152	3	in	in	ADP
ajset-592	152	4	figure	figure	NOUN
ajset-592	152	5	4	4	NUM
ajset-592	152	6	show	show	VERB
ajset-592	152	7	that	that	SCONJ
ajset-592	152	8	the	the	DET
ajset-592	152	9	single	single	ADJ
ajset-592	152	10	-	-	PUNCT
ajset-592	152	11	realization	realization	NOUN
ajset-592	152	12	data	datum	NOUN
ajset-592	152	13	is	be	AUX
ajset-592	152	14	remarkably	remarkably	ADV
ajset-592	152	15	noisy	noisy	ADJ
ajset-592	152	16	and	and	CCONJ
ajset-592	152	17	thus	thus	ADV
ajset-592	152	18	poses	pose	VERB
ajset-592	152	19	challenges	challenge	NOUN
ajset-592	152	20	for	for	ADP
ajset-592	152	21	establishing	establish	VERB
ajset-592	152	22	a	a	DET
ajset-592	152	23	robust	robust	ADJ
ajset-592	152	24	process	process	NOUN
ajset-592	152	25	monitoring	monitoring	NOUN
ajset-592	152	26	model	model	NOUN
ajset-592	152	27	(	(	PUNCT
ajset-592	152	28	see	see	VERB
ajset-592	152	29	figure	figure	NOUN
ajset-592	152	30	4a	4a	NUM
ajset-592	152	31	)	)	PUNCT
ajset-592	152	32	.	.	PUNCT
ajset-592	153	1	the	the	DET
ajset-592	153	2	distribution	distribution	NOUN
ajset-592	153	3	of	of	ADP
ajset-592	153	4	protein	protein	NOUN
ajset-592	153	5	numbers	number	NOUN
ajset-592	153	6	at	at	ADP
ajset-592	153	7	min	min	NOUN
ajset-592	153	8	is	be	AUX
ajset-592	153	9	shown	show	VERB
ajset-592	153	10	in	in	ADP
ajset-592	153	11	figure	figure	NOUN
ajset-592	153	12	4e	4e	NOUN
ajset-592	153	13	,	,	PUNCT
ajset-592	153	14	and	and	CCONJ
ajset-592	153	15	is	be	AUX
ajset-592	153	16	indeed	indeed	ADV
ajset-592	153	17	a	a	DET
ajset-592	153	18	negative	negative	ADJ
ajset-592	153	19	binomial	binomial	ADJ
ajset-592	153	20	distribution	distribution	NOUN
ajset-592	153	21	[	[	X
ajset-592	153	22	40	40	NUM
ajset-592	153	23	]	]	PUNCT
ajset-592	153	24	.	.	PUNCT
ajset-592	154	1	the	the	DET
ajset-592	154	2	fluctuations	fluctuation	NOUN
ajset-592	154	3	are	be	AUX
ajset-592	154	4	substantially	substantially	ADV
ajset-592	154	5	attenuated	attenuate	VERB
ajset-592	154	6	as	as	ADP
ajset-592	154	7	the	the	DET
ajset-592	154	8	number	number	NOUN
ajset-592	154	9	of	of	ADP
ajset-592	154	10	averaged	average	VERB
ajset-592	154	11	realizations	realization	NOUN
ajset-592	154	12	increase	increase	NOUN
ajset-592	154	13	(	(	PUNCT
ajset-592	154	14	see	see	VERB
ajset-592	154	15	figures	figure	NOUN
ajset-592	154	16	.	.	PUNCT
ajset-592	155	1	4b	4b	PROPN
ajset-592	155	2	,	,	PUNCT
ajset-592	155	3	4c	4c	NOUN
ajset-592	155	4	,	,	PUNCT
ajset-592	155	5	4d	4d	NUM
ajset-592	155	6	)	)	PUNCT
ajset-592	155	7	.	.	PUNCT
ajset-592	156	1	it	it	PRON
ajset-592	156	2	suggests	suggest	VERB
ajset-592	156	3	that	that	SCONJ
ajset-592	156	4	ensemble	ensemble	ADJ
ajset-592	156	5	method	method	NOUN
ajset-592	156	6	is	be	AUX
ajset-592	156	7	a	a	DET
ajset-592	156	8	simple	simple	ADJ
ajset-592	156	9	but	but	CCONJ
ajset-592	156	10	effective	effective	ADJ
ajset-592	156	11	approach	approach	NOUN
ajset-592	156	12	for	for	ADP
ajset-592	156	13	data	datum	NOUN
ajset-592	156	14	curation	curation	NOUN
ajset-592	156	15	.	.	PUNCT
ajset-592	157	1	however	however	ADV
ajset-592	157	2	,	,	PUNCT
ajset-592	157	3	precautions	precaution	NOUN
ajset-592	157	4	should	should	AUX
ajset-592	157	5	be	be	AUX
ajset-592	157	6	taken	take	VERB
ajset-592	157	7	for	for	ADP
ajset-592	157	8	large	large	ADJ
ajset-592	157	9	number	number	NOUN
ajset-592	157	10	of	of	ADP
ajset-592	157	11	realizations	realization	NOUN
ajset-592	157	12	for	for	ADP
ajset-592	157	13	two	two	NUM
ajset-592	157	14	reasons	reason	NOUN
ajset-592	157	15	:	:	PUNCT
ajset-592	157	16	(	(	PUNCT
ajset-592	157	17	i	i	NOUN
ajset-592	157	18	)	)	PUNCT
ajset-592	157	19	the	the	DET
ajset-592	157	20	anomaly	anomaly	NOUN
ajset-592	157	21	may	may	AUX
ajset-592	157	22	be	be	AUX
ajset-592	157	23	averaged	average	VERB
ajset-592	157	24	out	out	ADP
ajset-592	157	25	so	so	SCONJ
ajset-592	157	26	that	that	SCONJ
ajset-592	157	27	its	its	PRON
ajset-592	157	28	detection	detection	NOUN
ajset-592	157	29	becomes	become	VERB
ajset-592	157	30	challenging	challenging	ADJ
ajset-592	157	31	;	;	PUNCT
ajset-592	157	32	(	(	PUNCT
ajset-592	157	33	ii	ii	X
ajset-592	157	34	)	)	PUNCT
ajset-592	157	35	the	the	DET
ajset-592	157	36	large	large	ADJ
ajset-592	157	37	number	number	NOUN
ajset-592	157	38	of	of	ADP
ajset-592	157	39	realizations	realization	NOUN
ajset-592	157	40	is	be	AUX
ajset-592	157	41	tantamount	tantamount	ADJ
ajset-592	157	42	to	to	ADP
ajset-592	157	43	that	that	PRON
ajset-592	157	44	of	of	ADP
ajset-592	157	45	cells	cell	NOUN
ajset-592	157	46	,	,	PUNCT
ajset-592	157	47	whose	whose	DET
ajset-592	157	48	sampling	sampling	NOUN
ajset-592	157	49	may	may	AUX
ajset-592	157	50	be	be	AUX
ajset-592	157	51	difficult	difficult	ADJ
ajset-592	157	52	in	in	ADP
ajset-592	157	53	practice	practice	NOUN
ajset-592	157	54	.	.	PUNCT
ajset-592	158	1	here	here	ADV
ajset-592	158	2	we	we	PRON
ajset-592	158	3	choose	choose	VERB
ajset-592	158	4	the	the	DET
ajset-592	158	5	number	number	NOUN
ajset-592	158	6	to	to	PART
ajset-592	158	7	be	be	AUX
ajset-592	158	8	100	100	NUM
ajset-592	158	9	.	.	PUNCT
ajset-592	159	1	next	next	ADV
ajset-592	159	2	we	we	PRON
ajset-592	159	3	show	show	VERB
ajset-592	159	4	that	that	SCONJ
ajset-592	159	5	the	the	DET
ajset-592	159	6	mean	mean	NOUN
ajset-592	159	7	is	be	AUX
ajset-592	159	8	not	not	PART
ajset-592	159	9	adequate	adequate	ADJ
ajset-592	159	10	for	for	ADP
ajset-592	159	11	process	process	NOUN
ajset-592	159	12	monitoring	monitoring	NOUN
ajset-592	159	13	on	on	ADP
ajset-592	159	14	sps	sps	PROPN
ajset-592	159	15	.	.	PUNCT
ajset-592	160	1	to	to	ADP
ajset-592	160	2	this	this	DET
ajset-592	160	3	end	end	NOUN
ajset-592	160	4	,	,	PUNCT
ajset-592	160	5	we	we	PRON
ajset-592	160	6	simulate	simulate	VERB
ajset-592	160	7	a	a	DET
ajset-592	160	8	fault	fault	NOUN
ajset-592	160	9	by	by	ADP
ajset-592	160	10	decreasing	decrease	VERB
ajset-592	160	11	to	to	ADP
ajset-592	160	12	a	a	DET
ajset-592	160	13	third	third	ADJ
ajset-592	160	14	(	(	PUNCT
ajset-592	160	15	min-1	min-1	NOUN
ajset-592	160	16	)	)	PUNCT
ajset-592	160	17	and	and	CCONJ
ajset-592	160	18	increasing	increase	VERB
ajset-592	160	19	by	by	ADP
ajset-592	160	20	three	three	NUM
ajset-592	160	21	times	time	NOUN
ajset-592	160	22	(	(	PUNCT
ajset-592	160	23	)	)	PUNCT
ajset-592	160	24	at	at	ADP
ajset-592	160	25	time	time	NOUN
ajset-592	160	26	.	.	PUNCT
ajset-592	161	1	first	first	ADV
ajset-592	161	2	,	,	PUNCT
ajset-592	161	3	we	we	PRON
ajset-592	161	4	trained	train	VERB
ajset-592	161	5	a	a	DET
ajset-592	161	6	dknn	dknn	ADJ
ajset-592	161	7	model	model	NOUN
ajset-592	161	8	with	with	ADP
ajset-592	161	9	mean	mean	ADJ
ajset-592	161	10	values	value	NOUN
ajset-592	161	11	at	at	ADP
ajset-592	161	12	two	two	NUM
ajset-592	161	13	successive	successive	ADJ
ajset-592	161	14	time	time	NOUN
ajset-592	161	15	points	point	NOUN
ajset-592	161	16	as	as	ADP
ajset-592	161	17	input	input	NOUN
ajset-592	161	18	and	and	CCONJ
ajset-592	161	19	output	output	NOUN
ajset-592	161	20	.	.	PUNCT
ajset-592	162	1	the	the	DET
ajset-592	162	2	training	training	NOUN
ajset-592	162	3	dataset	dataset	NOUN
ajset-592	162	4	comprises	comprise	VERB
ajset-592	162	5	2000	2000	NUM
ajset-592	162	6	data	datum	NOUN
ajset-592	162	7	points	point	NOUN
ajset-592	162	8	collected	collect	VERB
ajset-592	162	9	at	at	ADP
ajset-592	162	10	time	time	NOUN
ajset-592	162	11	corresponding	correspond	VERB
ajset-592	162	12	to	to	ADP
ajset-592	162	13	the	the	DET
ajset-592	162	14	steady	steady	ADJ
ajset-592	162	15	state	state	NOUN
ajset-592	162	16	(	(	PUNCT
ajset-592	162	17	see	see	VERB
ajset-592	162	18	figure	figure	NOUN
ajset-592	162	19	4e	4e	NOUN
ajset-592	162	20	)	)	PUNCT
ajset-592	162	21	,	,	PUNCT
ajset-592	162	22	while	while	SCONJ
ajset-592	162	23	a	a	DET
ajset-592	162	24	test	test	NOUN
ajset-592	162	25	set	set	VERB
ajset-592	162	26	is	be	AUX
ajset-592	162	27	of	of	ADP
ajset-592	162	28	size	size	NOUN
ajset-592	162	29	100	100	NUM
ajset-592	162	30	,	,	PUNCT
ajset-592	162	31	on	on	ADP
ajset-592	162	32	which	which	PRON
ajset-592	162	33	an	an	DET
ajset-592	162	34	accuracy	accuracy	NOUN
ajset-592	162	35	test	test	NOUN
ajset-592	162	36	is	be	AUX
ajset-592	162	37	performed	perform	VERB
ajset-592	162	38	.	.	PUNCT
ajset-592	163	1	the	the	DET
ajset-592	163	2	accuracy	accuracy	NOUN
ajset-592	163	3	of	of	ADP
ajset-592	163	4	the	the	DET
ajset-592	163	5	trained	train	VERB
ajset-592	163	6	dknn	dknn	PROPN
ajset-592	163	7	model	model	NOUN
ajset-592	163	8	is	be	AUX
ajset-592	163	9	shown	show	VERB
ajset-592	163	10	in	in	ADP
ajset-592	163	11	figure	figure	NOUN
ajset-592	163	12	5a	5a	NUM
ajset-592	163	13	.	.	PUNCT
ajset-592	164	1	the	the	DET
ajset-592	164	2	predictions	prediction	NOUN
ajset-592	164	3	are	be	AUX
ajset-592	164	4	distributed	distribute	VERB
ajset-592	164	5	close	close	ADV
ajset-592	164	6	to	to	ADP
ajset-592	164	7	the	the	DET
ajset-592	164	8	line	line	NOUN
ajset-592	164	9	,	,	PUNCT
ajset-592	164	10	indicating	indicate	VERB
ajset-592	164	11	that	that	SCONJ
ajset-592	164	12	these	these	DET
ajset-592	164	13	predictions	prediction	NOUN
ajset-592	164	14	are	be	AUX
ajset-592	164	15	accurate	accurate	ADJ
ajset-592	164	16	.	.	PUNCT
ajset-592	165	1	by	by	ADP
ajset-592	165	2	means	mean	NOUN
ajset-592	165	3	of	of	ADP
ajset-592	165	4	svdd	svdd	NOUN
ajset-592	165	5	,	,	PUNCT
ajset-592	165	6	a	a	DET
ajset-592	165	7	radius	radius	NOUN
ajset-592	165	8	for	for	ADP
ajset-592	165	9	anomaly	anomaly	NOUN
ajset-592	165	10	detection	detection	NOUN
ajset-592	165	11	is	be	AUX
ajset-592	165	12	computed	compute	VERB
ajset-592	165	13	and	and	CCONJ
ajset-592	165	14	shown	show	VERB
ajset-592	165	15	as	as	ADP
ajset-592	165	16	red	red	ADJ
ajset-592	165	17	line	line	NOUN
ajset-592	165	18	in	in	ADP
ajset-592	165	19	figure	figure	NOUN
ajset-592	165	20	5b	5b	NUM
ajset-592	165	21	.	.	PUNCT
ajset-592	166	1	most	most	ADJ
ajset-592	166	2	of	of	ADP
ajset-592	166	3	the	the	DET
ajset-592	166	4	residues	residue	NOUN
ajset-592	166	5	(	(	PUNCT
ajset-592	166	6	~	~	PUNCT
ajset-592	166	7	90	90	NUM
ajset-592	166	8	%	%	NOUN
ajset-592	166	9	)	)	PUNCT
ajset-592	166	10	are	be	AUX
ajset-592	166	11	contained	contain	VERB
ajset-592	166	12	within	within	ADP
ajset-592	166	13	this	this	DET
ajset-592	166	14	radius	radius	NOUN
ajset-592	166	15	.	.	PUNCT
ajset-592	167	1	within	within	ADP
ajset-592	167	2	the	the	DET
ajset-592	167	3	help	help	NOUN
ajset-592	167	4	of	of	ADP
ajset-592	167	5	the	the	DET
ajset-592	167	6	dknn	dknn	PROPN
ajset-592	167	7	model	model	NOUN
ajset-592	167	8	and	and	CCONJ
ajset-592	167	9	the	the	DET
ajset-592	167	10	radius	radius	NOUN
ajset-592	167	11	,	,	PUNCT
ajset-592	167	12	we	we	PRON
ajset-592	167	13	perform	perform	VERB
ajset-592	167	14	the	the	DET
ajset-592	167	15	test	test	NOUN
ajset-592	167	16	to	to	PART
ajset-592	167	17	detect	detect	VERB
ajset-592	167	18	the	the	DET
ajset-592	167	19	aforementioned	aforementioned	ADJ
ajset-592	167	20	anomaly	anomaly	NOUN
ajset-592	167	21	occurring	occur	VERB
ajset-592	167	22	at	at	ADP
ajset-592	167	23	time	time	NOUN
ajset-592	167	24	.	.	PUNCT
ajset-592	168	1	the	the	DET
ajset-592	168	2	f	f	NOUN
ajset-592	168	3	-	-	PUNCT
ajset-592	168	4	scores	score	NOUN
ajset-592	168	5	averaged	average	VERB
ajset-592	168	6	over	over	ADP
ajset-592	168	7	20	20	NUM
ajset-592	168	8	independent	independent	ADJ
ajset-592	168	9	ensemble	ensemble	ADJ
ajset-592	168	10	samples	sample	NOUN
ajset-592	168	11	at	at	ADP
ajset-592	168	12	4	4	NUM
ajset-592	168	13	different	different	ADJ
ajset-592	168	14	time	time	NOUN
ajset-592	168	15	points	point	NOUN
ajset-592	168	16	are	be	AUX
ajset-592	168	17	presented	present	VERB
ajset-592	168	18	in	in	ADP
ajset-592	168	19	table	table	NOUN
ajset-592	168	20	1	1	NUM
ajset-592	168	21	.	.	PUNCT
ajset-592	169	1	it	it	PRON
ajset-592	169	2	clearly	clearly	ADV
ajset-592	169	3	shows	show	VERB
ajset-592	169	4	that	that	SCONJ
ajset-592	169	5	the	the	DET
ajset-592	169	6	detection	detection	NOUN
ajset-592	169	7	accuracy	accuracy	NOUN
ajset-592	169	8	is	be	AUX
ajset-592	169	9	low	low	ADJ
ajset-592	169	10	and	and	CCONJ
ajset-592	169	11	can	can	AUX
ajset-592	169	12	not	not	PART
ajset-592	169	13	be	be	AUX
ajset-592	169	14	improved	improve	VERB
ajset-592	169	15	over	over	ADP
ajset-592	169	16	time	time	NOUN
ajset-592	169	17	,	,	PUNCT
ajset-592	169	18	thereby	thereby	ADV
ajset-592	169	19	solidly	solidly	ADV
ajset-592	169	20	advocating	advocate	VERB
ajset-592	169	21	our	our	PRON
ajset-592	169	22	statement	statement	NOUN
ajset-592	169	23	that	that	PRON
ajset-592	169	24	mean	mean	NOUN
ajset-592	169	25	value	value	NOUN
ajset-592	169	26	is	be	AUX
ajset-592	169	27	not	not	PART
ajset-592	169	28	sufficient	sufficient	ADJ
ajset-592	169	29	for	for	ADP
ajset-592	169	30	sps	sps	NOUN
ajset-592	169	31	process	process	NOUN
ajset-592	169	32	monitoring	monitoring	NOUN
ajset-592	169	33	.	.	PUNCT
ajset-592	170	1	the	the	DET
ajset-592	170	2	unsatisfactory	unsatisfactory	ADJ
ajset-592	170	3	result	result	NOUN
ajset-592	170	4	is	be	AUX
ajset-592	170	5	attributed	attribute	VERB
ajset-592	170	6	to	to	ADP
ajset-592	170	7	the	the	DET
ajset-592	170	8	anomaly	anomaly	NOUN
ajset-592	170	9	we	we	PRON
ajset-592	170	10	specially	specially	ADV
ajset-592	170	11	chose	choose	VERB
ajset-592	170	12	.	.	PUNCT
ajset-592	171	1	as	as	SCONJ
ajset-592	171	2	stated	state	VERB
ajset-592	171	3	previously	previously	ADV
ajset-592	171	4	,	,	PUNCT
ajset-592	171	5	the	the	DET
ajset-592	171	6	steady	steady	ADJ
ajset-592	171	7	state	state	NOUN
ajset-592	171	8	distribution	distribution	NOUN
ajset-592	171	9	of	of	ADP
ajset-592	171	10	the	the	DET
ajset-592	171	11	system	system	NOUN
ajset-592	171	12	(	(	PUNCT
ajset-592	171	13	14	14	NUM
ajset-592	171	14	)	)	PUNCT
ajset-592	171	15	is	be	AUX
ajset-592	171	16	negative	negative	ADJ
ajset-592	171	17	binomial	binomial	ADJ
ajset-592	171	18	parametrized	parametrized	ADJ
ajset-592	171	19	as	as	ADP
ajset-592	171	20	with	with	ADP
ajset-592	171	21	the	the	DET
ajset-592	171	22	mean	mean	ADJ
ajset-592	171	23	being	being	NOUN
ajset-592	171	24	.	.	PUNCT
ajset-592	172	1	the	the	DET
ajset-592	172	2	mean	mean	NOUN
ajset-592	172	3	is	be	AUX
ajset-592	172	4	not	not	PART
ajset-592	172	5	altered	alter	VERB
ajset-592	172	6	for	for	ADP
ajset-592	172	7	the	the	DET
ajset-592	172	8	specially	specially	ADV
ajset-592	172	9	selected	select	VERB
ajset-592	172	10	anomaly	anomaly	NOUN
ajset-592	172	11	.	.	PUNCT
ajset-592	173	1	hence	hence	ADV
ajset-592	173	2	,	,	PUNCT
ajset-592	173	3	it	it	PRON
ajset-592	173	4	is	be	AUX
ajset-592	173	5	a	a	DET
ajset-592	173	6	vivid	vivid	ADJ
ajset-592	173	7	example	example	NOUN
ajset-592	173	8	showing	show	VERB
ajset-592	173	9	that	that	SCONJ
ajset-592	173	10	the	the	DET
ajset-592	173	11	mean	mean	ADJ
ajset-592	173	12	value	value	NOUN
ajset-592	173	13	is	be	AUX
ajset-592	173	14	not	not	PART
ajset-592	173	15	adequate	adequate	ADJ
ajset-592	173	16	to	to	PART
ajset-592	173	17	characterize	characterize	VERB
ajset-592	173	18	the	the	DET
ajset-592	173	19	sps	sps	NOUN
ajset-592	173	20	dynamics	dynamic	NOUN
ajset-592	173	21	and	and	CCONJ
ajset-592	173	22	calls	call	VERB
ajset-592	173	23	for	for	ADP
ajset-592	173	24	high	high	ADJ
ajset-592	173	25	-	-	PUNCT
ajset-592	173	26	order	order	NOUN
ajset-592	173	27	moments	moment	NOUN
ajset-592	173	28	.	.	PUNCT
ajset-592	174	1	it	it	PRON
ajset-592	174	2	is	be	AUX
ajset-592	174	3	also	also	ADV
ajset-592	174	4	evidenced	evidence	VERB
ajset-592	174	5	by	by	ADP
ajset-592	174	6	figure	figure	NOUN
ajset-592	174	7	6a	6a	NOUN
ajset-592	174	8	that	that	PRON
ajset-592	174	9	the	the	DET
ajset-592	174	10	difference	difference	NOUN
ajset-592	174	11	between	between	ADP
ajset-592	174	12	the	the	DET
ajset-592	174	13	faulted	fault	VERB
ajset-592	174	14	and	and	CCONJ
ajset-592	174	15	normal	normal	ADJ
ajset-592	174	16	trajectories	trajectory	NOUN
ajset-592	174	17	can	can	AUX
ajset-592	174	18	hardly	hardly	ADV
ajset-592	174	19	be	be	AUX
ajset-592	174	20	discerned	discern	VERB
ajset-592	174	21	,	,	PUNCT
ajset-592	174	22	whereas	whereas	SCONJ
ajset-592	174	23	figures	figure	NOUN
ajset-592	174	24	.	.	PUNCT
ajset-592	175	1	6b	6b	NOUN
ajset-592	175	2	,	,	PUNCT
ajset-592	175	3	6c	6c	NUM
ajset-592	175	4	,	,	PUNCT
ajset-592	175	5	6d	6d	NUM
ajset-592	175	6	show	show	NOUN
ajset-592	175	7	that	that	SCONJ
ajset-592	175	8	high	high	ADJ
ajset-592	175	9	-	-	PUNCT
ajset-592	175	10	order	order	NOUN
ajset-592	175	11	moments	moment	NOUN
ajset-592	175	12	are	be	AUX
ajset-592	175	13	much	much	ADV
ajset-592	175	14	more	more	ADV
ajset-592	175	15	sensitive	sensitive	ADJ
ajset-592	175	16	to	to	ADP
ajset-592	175	17	the	the	DET
ajset-592	175	18	anomalies	anomaly	NOUN
ajset-592	175	19	.	.	PUNCT
ajset-592	176	1	given	give	VERB
ajset-592	176	2	the	the	DET
ajset-592	176	3	observation	observation	NOUN
ajset-592	176	4	,	,	PUNCT
ajset-592	176	5	it	it	PRON
ajset-592	176	6	is	be	AUX
ajset-592	176	7	necessary	necessary	ADJ
ajset-592	176	8	to	to	PART
ajset-592	176	9	incorporate	incorporate	VERB
ajset-592	176	10	high	high	ADJ
ajset-592	176	11	-	-	PUNCT
ajset-592	176	12	order	order	NOUN
ajset-592	176	13	moments	moment	NOUN
ajset-592	176	14	in	in	ADP
ajset-592	176	15	datasets	dataset	NOUN
ajset-592	176	16	for	for	ADP
ajset-592	176	17	sps	sps	PROPN
ajset-592	176	18	anomaly	anomaly	PROPN
ajset-592	176	19	detection	detection	NOUN
ajset-592	176	20	.	.	PUNCT
ajset-592	177	1	as	as	ADP
ajset-592	177	2	such	such	ADJ
ajset-592	177	3	,	,	PUNCT
ajset-592	177	4	we	we	PRON
ajset-592	177	5	create	create	VERB
ajset-592	177	6	another	another	DET
ajset-592	177	7	three	three	NUM
ajset-592	177	8	pairs	pair	NOUN
ajset-592	177	9	of	of	ADP
ajset-592	177	10	training	training	NOUN
ajset-592	177	11	and	and	CCONJ
ajset-592	177	12	test	test	NOUN
ajset-592	177	13	datasets	dataset	NOUN
ajset-592	177	14	,	,	PUNCT
ajset-592	177	15	and	and	CCONJ
ajset-592	177	16	each	each	PRON
ajset-592	177	17	has	have	VERB
ajset-592	177	18	the	the	DET
ajset-592	177	19	moments	moment	NOUN
ajset-592	177	20	up	up	ADP
ajset-592	177	21	to	to	PART
ajset-592	177	22	order	order	NOUN
ajset-592	177	23	2	2	NUM
ajset-592	177	24	,	,	PUNCT
ajset-592	177	25	3	3	NUM
ajset-592	177	26	and	and	CCONJ
ajset-592	177	27	4	4	NUM
ajset-592	177	28	respectively	respectively	ADV
ajset-592	177	29	.	.	PUNCT
ajset-592	178	1	the	the	DET
ajset-592	178	2	methods	method	NOUN
ajset-592	178	3	of	of	ADP
ajset-592	178	4	moments	moment	NOUN
ajset-592	178	5	calculation	calculation	NOUN
ajset-592	178	6	are	be	AUX
ajset-592	178	7	stated	state	VERB
ajset-592	178	8	in	in	ADP
ajset-592	178	9	appendix	appendix	NOUN
ajset-592	178	10	6.1	6.1	NUM
ajset-592	178	11	.	.	PUNCT
ajset-592	179	1	after	after	ADP
ajset-592	179	2	training	train	VERB
ajset-592	179	3	dknn	dknn	NOUN
ajset-592	179	4	models	model	NOUN
ajset-592	179	5	on	on	ADP
ajset-592	179	6	the	the	DET
ajset-592	179	7	three	three	NUM
ajset-592	179	8	training	training	NOUN
ajset-592	179	9	datasets	dataset	NOUN
ajset-592	179	10	,	,	PUNCT
ajset-592	179	11	three	three	NUM
ajset-592	179	12	independent	independent	ADJ
ajset-592	179	13	accuracy	accuracy	NOUN
ajset-592	179	14	tests	test	NOUN
ajset-592	179	15	on	on	ADP
ajset-592	179	16	the	the	DET
ajset-592	179	17	corresponding	corresponding	ADJ
ajset-592	179	18	test	test	NOUN
ajset-592	179	19	dataset	dataset	NOUN
ajset-592	179	20	are	be	AUX
ajset-592	179	21	carried	carry	VERB
ajset-592	179	22	out	out	ADP
ajset-592	179	23	,	,	PUNCT
ajset-592	179	24	and	and	CCONJ
ajset-592	179	25	the	the	DET
ajset-592	179	26	results	result	NOUN
ajset-592	179	27	are	be	AUX
ajset-592	179	28	shown	show	VERB
ajset-592	179	29	in	in	ADP
ajset-592	179	30	figure	figure	NOUN
ajset-592	179	31	7	7	NUM
ajset-592	179	32	.	.	PUNCT
ajset-592	180	1	it	it	PRON
ajset-592	180	2	shows	show	VERB
ajset-592	180	3	that	that	SCONJ
ajset-592	180	4	the	the	DET
ajset-592	180	5	accuracy	accuracy	NOUN
ajset-592	180	6	degrades	degrade	VERB
ajset-592	180	7	as	as	ADP
ajset-592	180	8	the	the	DET
ajset-592	180	9	order	order	NOUN
ajset-592	180	10	of	of	ADP
ajset-592	180	11	moment	moment	NOUN
ajset-592	180	12	of	of	ADP
ajset-592	180	13	prediction	prediction	NOUN
ajset-592	180	14	interest	interest	NOUN
ajset-592	180	15	increases	increase	NOUN
ajset-592	180	16	as	as	SCONJ
ajset-592	180	17	expected	expect	VERB
ajset-592	180	18	.	.	PUNCT
ajset-592	181	1	generally	generally	ADV
ajset-592	181	2	,	,	PUNCT
ajset-592	181	3	the	the	DET
ajset-592	181	4	and	and	CCONJ
ajset-592	181	5	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	181	6	academic	academic	ADJ
ajset-592	181	7	journal	journal	NOUN
ajset-592	181	8	of	of	ADP
ajset-592	181	9	science	science	NOUN
ajset-592	181	10	,	,	PUNCT
ajset-592	181	11	engineering	engineering	NOUN
ajset-592	181	12	and	and	CCONJ
ajset-592	181	13	technology	technology	NOUN
ajset-592	181	14	vol.7	vol.7	PROPN
ajset-592	181	15	,	,	PUNCT
ajset-592	181	16	issue	issue	NOUN
ajset-592	181	17	1	1	NUM
ajset-592	181	18	;	;	PUNCT
ajset-592	181	19	january	january	PROPN
ajset-592	181	20	febuary	febuary	PROPN
ajset-592	181	21	2022	2022	NUM
ajset-592	181	22	;	;	PUNCT
ajset-592	181	23	1252	1252	NUM
ajset-592	181	24	columbia	columbia	PROPN
ajset-592	181	25	rd	rd	PROPN
ajset-592	181	26	nw	nw	PROPN
ajset-592	181	27	,	,	PUNCT
ajset-592	181	28	washington	washington	PROPN
ajset-592	181	29	dc	dc	PROPN
ajset-592	181	30	,	,	PUNCT
ajset-592	181	31	united	united	PROPN
ajset-592	181	32	states	states	PROPN
ajset-592	181	33	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	181	34	;	;	PUNCT
ajset-592	181	35	mail	mail	NOUN
ajset-592	181	36	:	:	PUNCT
ajset-592	181	37	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	182	1	23	23	NUM
ajset-592	183	1	|	|	ADV
ajset-592	183	2	a	a	DET
ajset-592	183	3	c	c	NOUN
ajset-592	183	4	a	a	PRON
ajset-592	183	5	d	d	X
ajset-592	183	6	e	e	NOUN
ajset-592	183	7	m	m	NOUN
ajset-592	183	8	i	i	NOUN
ajset-592	183	9	c	c	NOUN
ajset-592	183	10	j	j	NOUN
ajset-592	183	11	o	o	X
ajset-592	183	12	u	u	NOUN
ajset-592	183	13	r	r	NOUN
ajset-592	183	14	n	n	NOUN
ajset-592	183	15	a	a	DET
ajset-592	183	16	l	l	NOUN
ajset-592	184	1	o	o	X
ajset-592	184	2	f	f	X
ajset-592	184	3	s	s	X
ajset-592	184	4	c	c	NOUN
ajset-592	185	1	i	i	NOUN
ajset-592	185	2	e	e	PROPN
ajset-592	185	3	n	n	PROPN
ajset-592	185	4	c	c	NOUN
ajset-592	185	5	e	e	X
ajset-592	185	6	,	,	PUNCT
ajset-592	185	7	e	e	PROPN
ajset-592	185	8	n	n	PRON
ajset-592	185	9	g	g	NOUN
ajset-592	185	10	i	i	PRON
ajset-592	185	11	n	n	VERB
ajset-592	185	12	e	e	NOUN
ajset-592	185	13	e	e	NOUN
ajset-592	185	14	r	r	VERB
ajset-592	185	15	i	i	PRON
ajset-592	185	16	n	n	CCONJ
ajset-592	185	17	g	g	PROPN
ajset-592	185	18	a	a	DET
ajset-592	185	19	n	n	NOUN
ajset-592	185	20	d	d	NOUN
ajset-592	185	21	t	t	NOUN
ajset-592	185	22	e	e	X
ajset-592	185	23	c	c	NOUN
ajset-592	185	24	h	h	NOUN
ajset-592	185	25	n	n	ADV
ajset-592	185	26	o	o	NOUN
ajset-592	185	27	l	l	NOUN
ajset-592	186	1	o	o	X
ajset-592	186	2	g	g	NOUN
ajset-592	186	3	y	y	PROPN
ajset-592	186	4	|	|	ADV
ajset-592	186	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	186	6	fluctuations	fluctuation	NOUN
ajset-592	186	7	in	in	ADP
ajset-592	186	8	higher	high	ADJ
ajset-592	186	9	-	-	PUNCT
ajset-592	186	10	order	order	NOUN
ajset-592	186	11	moments	moment	NOUN
ajset-592	186	12	are	be	AUX
ajset-592	186	13	more	more	ADV
ajset-592	186	14	intense	intense	ADJ
ajset-592	186	15	than	than	ADP
ajset-592	186	16	that	that	PRON
ajset-592	186	17	in	in	ADP
ajset-592	186	18	lower	low	ADJ
ajset-592	186	19	-	-	PUNCT
ajset-592	186	20	order	order	NOUN
ajset-592	186	21	moments	moment	NOUN
ajset-592	186	22	.	.	PUNCT
ajset-592	187	1	subsequently	subsequently	ADV
ajset-592	187	2	,	,	PUNCT
ajset-592	187	3	we	we	PRON
ajset-592	187	4	use	use	VERB
ajset-592	187	5	the	the	DET
ajset-592	187	6	three	three	NUM
ajset-592	187	7	well	well	ADV
ajset-592	187	8	-	-	PUNCT
ajset-592	187	9	trained	train	VERB
ajset-592	187	10	dknn	dknn	ADJ
ajset-592	187	11	models	model	NOUN
ajset-592	187	12	to	to	PART
ajset-592	187	13	detect	detect	VERB
ajset-592	187	14	the	the	DET
ajset-592	187	15	aforementioned	aforementioned	ADJ
ajset-592	187	16	anomaly	anomaly	NOUN
ajset-592	187	17	.	.	PUNCT
ajset-592	188	1	it	it	PRON
ajset-592	188	2	shows	show	VERB
ajset-592	188	3	in	in	ADP
ajset-592	188	4	figure	figure	NOUN
ajset-592	188	5	8	8	NUM
ajset-592	188	6	that	that	SCONJ
ajset-592	188	7	the	the	DET
ajset-592	188	8	detection	detection	NOUN
ajset-592	188	9	becomes	become	VERB
ajset-592	188	10	more	more	ADV
ajset-592	188	11	accurate	accurate	ADJ
ajset-592	188	12	as	as	SCONJ
ajset-592	188	13	the	the	DET
ajset-592	188	14	anomaly	anomaly	NOUN
ajset-592	188	15	effects	effect	NOUN
ajset-592	188	16	accumulate	accumulate	VERB
ajset-592	188	17	in	in	ADP
ajset-592	188	18	time	time	NOUN
ajset-592	188	19	.	.	PUNCT
ajset-592	189	1	besides	besides	SCONJ
ajset-592	189	2	,	,	PUNCT
ajset-592	189	3	the	the	DET
ajset-592	189	4	models	model	NOUN
ajset-592	189	5	based	base	VERB
ajset-592	189	6	on	on	ADP
ajset-592	189	7	moments	moment	NOUN
ajset-592	189	8	of	of	ADP
ajset-592	189	9	order	order	NOUN
ajset-592	189	10	3	3	NUM
ajset-592	189	11	and	and	CCONJ
ajset-592	189	12	order	order	VERB
ajset-592	189	13	4	4	NUM
ajset-592	189	14	outperform	outperform	NOUN
ajset-592	189	15	that	that	PRON
ajset-592	189	16	of	of	ADP
ajset-592	189	17	order	order	NOUN
ajset-592	189	18	2	2	NUM
ajset-592	189	19	,	,	PUNCT
ajset-592	189	20	while	while	SCONJ
ajset-592	189	21	the	the	DET
ajset-592	189	22	performance	performance	NOUN
ajset-592	189	23	of	of	ADP
ajset-592	189	24	the	the	DET
ajset-592	189	25	former	former	ADJ
ajset-592	189	26	two	two	NUM
ajset-592	189	27	are	be	AUX
ajset-592	189	28	comparable	comparable	ADJ
ajset-592	189	29	.	.	PUNCT
ajset-592	190	1	hence	hence	ADV
ajset-592	190	2	,	,	PUNCT
ajset-592	190	3	it	it	PRON
ajset-592	190	4	is	be	AUX
ajset-592	190	5	concluded	conclude	VERB
ajset-592	190	6	that	that	SCONJ
ajset-592	190	7	the	the	DET
ajset-592	190	8	combination	combination	NOUN
ajset-592	190	9	of	of	ADP
ajset-592	190	10	moments	moment	NOUN
ajset-592	190	11	of	of	ADP
ajset-592	190	12	order	order	NOUN
ajset-592	190	13	up	up	ADP
ajset-592	190	14	to	to	PART
ajset-592	190	15	3	3	NUM
ajset-592	190	16	probably	probably	ADV
ajset-592	190	17	suits	suit	VERB
ajset-592	190	18	best	well	ADV
ajset-592	190	19	for	for	ADP
ajset-592	190	20	dknn	dknn	ADJ
ajset-592	190	21	model	model	NOUN
ajset-592	190	22	performing	perform	VERB
ajset-592	190	23	anomaly	anomaly	NOUN
ajset-592	190	24	detection	detection	NOUN
ajset-592	190	25	in	in	ADP
ajset-592	190	26	sps	sps	PROPN
ajset-592	190	27	.	.	PUNCT
ajset-592	191	1	furthermore	furthermore	ADV
ajset-592	191	2	,	,	PUNCT
ajset-592	191	3	we	we	PRON
ajset-592	191	4	compare	compare	VERB
ajset-592	191	5	the	the	DET
ajset-592	191	6	dknn	dknn	ADJ
ajset-592	191	7	model	model	NOUN
ajset-592	191	8	and	and	CCONJ
ajset-592	191	9	dmd	dmd	NOUN
ajset-592	191	10	model	model	NOUN
ajset-592	191	11	both	both	PRON
ajset-592	191	12	trained	train	VERB
ajset-592	191	13	on	on	ADP
ajset-592	191	14	the	the	DET
ajset-592	191	15	dataset	dataset	NOUN
ajset-592	191	16	containing	contain	VERB
ajset-592	191	17	moments	moment	NOUN
ajset-592	191	18	of	of	ADP
ajset-592	191	19	order	order	NOUN
ajset-592	191	20	up	up	ADP
ajset-592	191	21	to	to	PART
ajset-592	191	22	3	3	NUM
ajset-592	191	23	.	.	PUNCT
ajset-592	192	1	the	the	DET
ajset-592	192	2	accuracy	accuracy	NOUN
ajset-592	192	3	comparison	comparison	NOUN
ajset-592	192	4	is	be	AUX
ajset-592	192	5	summarized	summarize	VERB
ajset-592	192	6	in	in	ADP
ajset-592	192	7	figure	figure	NOUN
ajset-592	192	8	9a	9a	NOUN
ajset-592	192	9	.	.	PUNCT
ajset-592	193	1	it	it	PRON
ajset-592	193	2	shows	show	VERB
ajset-592	193	3	that	that	SCONJ
ajset-592	193	4	dknn	dknn	PROPN
ajset-592	193	5	outperforms	outperform	VERB
ajset-592	193	6	dmd	dmd	PROPN
ajset-592	193	7	on	on	ADP
ajset-592	193	8	the	the	DET
ajset-592	193	9	predictions	prediction	NOUN
ajset-592	193	10	of	of	ADP
ajset-592	193	11	all	all	DET
ajset-592	193	12	the	the	DET
ajset-592	193	13	moments	moment	NOUN
ajset-592	193	14	.	.	PUNCT
ajset-592	194	1	however	however	ADV
ajset-592	194	2	,	,	PUNCT
ajset-592	194	3	the	the	DET
ajset-592	194	4	dknn	dknn	PROPN
ajset-592	194	5	's	's	PART
ajset-592	194	6	advantage	advantage	NOUN
ajset-592	194	7	is	be	AUX
ajset-592	194	8	mitigating	mitigate	VERB
ajset-592	194	9	as	as	SCONJ
ajset-592	194	10	the	the	DET
ajset-592	194	11	stochasticity	stochasticity	NOUN
ajset-592	194	12	gets	get	VERB
ajset-592	194	13	stronger	strong	ADJ
ajset-592	194	14	in	in	ADP
ajset-592	194	15	higher	high	ADJ
ajset-592	194	16	-	-	PUNCT
ajset-592	194	17	order	order	NOUN
ajset-592	194	18	moment	moment	NOUN
ajset-592	194	19	data	datum	NOUN
ajset-592	194	20	.	.	PUNCT
ajset-592	195	1	as	as	ADP
ajset-592	195	2	for	for	ADP
ajset-592	195	3	anomaly	anomaly	NOUN
ajset-592	195	4	detection	detection	NOUN
ajset-592	195	5	,	,	PUNCT
ajset-592	195	6	the	the	DET
ajset-592	195	7	f	f	NOUN
ajset-592	195	8	-	-	PUNCT
ajset-592	195	9	scores	score	NOUN
ajset-592	195	10	of	of	ADP
ajset-592	195	11	dknn	dknn	PROPN
ajset-592	195	12	are	be	AUX
ajset-592	195	13	higher	high	ADJ
ajset-592	195	14	than	than	ADP
ajset-592	195	15	that	that	PRON
ajset-592	195	16	of	of	ADP
ajset-592	195	17	dmd	dmd	NOUN
ajset-592	195	18	by	by	ADP
ajset-592	195	19	15	15	NUM
ajset-592	195	20	%	%	NOUN
ajset-592	195	21	~	~	PUNCT
ajset-592	195	22	50	50	NUM
ajset-592	195	23	%	%	NOUN
ajset-592	195	24	(	(	PUNCT
ajset-592	195	25	see	see	VERB
ajset-592	195	26	figure	figure	NOUN
ajset-592	195	27	9b	9b	NUM
ajset-592	195	28	)	)	PUNCT
ajset-592	195	29	.	.	PUNCT
ajset-592	196	1	figure	figure	VERB
ajset-592	196	2	9	9	NUM
ajset-592	196	3	:	:	PUNCT
ajset-592	196	4	comparison	comparison	NOUN
ajset-592	196	5	of	of	ADP
ajset-592	196	6	dknn	dknn	PROPN
ajset-592	196	7	and	and	CCONJ
ajset-592	196	8	dmd	dmd	NOUN
ajset-592	196	9	on	on	ADP
ajset-592	196	10	(	(	PUNCT
ajset-592	196	11	a	a	DET
ajset-592	196	12	)	)	PUNCT
ajset-592	196	13	prediction	prediction	NOUN
ajset-592	196	14	accuracy	accuracy	NOUN
ajset-592	196	15	and	and	CCONJ
ajset-592	196	16	(	(	PUNCT
ajset-592	196	17	b	b	NOUN
ajset-592	196	18	)	)	PUNCT
ajset-592	196	19	anomaly	anomaly	NOUN
ajset-592	196	20	detection	detection	NOUN
ajset-592	196	21	of	of	ADP
ajset-592	196	22	example	example	NOUN
ajset-592	197	1	1	1	NUM
ajset-592	197	2	.	.	X
ajset-592	197	3	figure	figure	VERB
ajset-592	197	4	10	10	NUM
ajset-592	197	5	:	:	PUNCT
ajset-592	197	6	comparison	comparison	NOUN
ajset-592	197	7	of	of	ADP
ajset-592	197	8	dknn	dknn	PROPN
ajset-592	197	9	and	and	CCONJ
ajset-592	197	10	dmd	dmd	NOUN
ajset-592	197	11	on	on	ADP
ajset-592	197	12	prediction	prediction	NOUN
ajset-592	197	13	accuracy	accuracy	NOUN
ajset-592	197	14	of	of	ADP
ajset-592	197	15	example	example	NOUN
ajset-592	197	16	2	2	NUM
ajset-592	197	17	.	.	X
ajset-592	197	18	figure	figure	VERB
ajset-592	197	19	11	11	NUM
ajset-592	197	20	:	:	PUNCT
ajset-592	197	21	stochastic	stochastic	ADJ
ajset-592	197	22	simulations	simulation	NOUN
ajset-592	197	23	for	for	ADP
ajset-592	197	24	example	example	NOUN
ajset-592	197	25	2	2	NUM
ajset-592	197	26	.	.	PUNCT
ajset-592	197	27	table	table	NOUN
ajset-592	197	28	2	2	NUM
ajset-592	197	29	:	:	PUNCT
ajset-592	197	30	comparision	comparision	NOUN
ajset-592	197	31	of	of	ADP
ajset-592	197	32	dknn	dknn	PROPN
ajset-592	197	33	and	and	CCONJ
ajset-592	197	34	dmd	dmd	NOUN
ajset-592	197	35	on	on	ADP
ajset-592	197	36	detection	detection	NOUN
ajset-592	197	37	of	of	ADP
ajset-592	197	38	anomalies	anomaly	NOUN
ajset-592	197	39	case	case	NOUN
ajset-592	197	40	1	1	NUM
ajset-592	197	41	&	&	CCONJ
ajset-592	197	42	case	case	NOUN
ajset-592	197	43	2	2	NUM
ajset-592	197	44	in	in	ADP
ajset-592	197	45	example	example	NOUN
ajset-592	197	46	2	2	NUM
ajset-592	197	47	case	case	NOUN
ajset-592	197	48	case	case	NOUN
ajset-592	197	49	1	1	NUM
ajset-592	197	50	case	case	NOUN
ajset-592	197	51	2	2	NUM
ajset-592	197	52	method	method	NOUN
ajset-592	197	53	dknn	dknn	PROPN
ajset-592	197	54	dmd	dmd	PROPN
ajset-592	197	55	dknn	dknn	PROPN
ajset-592	197	56	dmd	dmd	PROPN
ajset-592	197	57	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	197	58	academic	academic	ADJ
ajset-592	197	59	journal	journal	NOUN
ajset-592	197	60	of	of	ADP
ajset-592	197	61	science	science	NOUN
ajset-592	197	62	,	,	PUNCT
ajset-592	197	63	engineering	engineering	NOUN
ajset-592	197	64	and	and	CCONJ
ajset-592	197	65	technology	technology	NOUN
ajset-592	197	66	vol.7	vol.7	PROPN
ajset-592	197	67	,	,	PUNCT
ajset-592	197	68	issue	issue	NOUN
ajset-592	197	69	1	1	NUM
ajset-592	197	70	;	;	PUNCT
ajset-592	197	71	january	january	PROPN
ajset-592	197	72	febuary	febuary	PROPN
ajset-592	197	73	2022	2022	NUM
ajset-592	197	74	;	;	PUNCT
ajset-592	197	75	1252	1252	NUM
ajset-592	197	76	columbia	columbia	PROPN
ajset-592	197	77	rd	rd	PROPN
ajset-592	197	78	nw	nw	PROPN
ajset-592	197	79	,	,	PUNCT
ajset-592	197	80	washington	washington	PROPN
ajset-592	197	81	dc	dc	PROPN
ajset-592	197	82	,	,	PUNCT
ajset-592	197	83	united	united	PROPN
ajset-592	197	84	states	states	PROPN
ajset-592	197	85	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	197	86	;	;	PUNCT
ajset-592	197	87	mail	mail	NOUN
ajset-592	197	88	:	:	PUNCT
ajset-592	198	1	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	199	1	24	24	NUM
ajset-592	200	1	|	|	ADV
ajset-592	200	2	a	a	DET
ajset-592	200	3	c	c	NOUN
ajset-592	200	4	a	a	PRON
ajset-592	200	5	d	d	X
ajset-592	200	6	e	e	NOUN
ajset-592	200	7	m	m	NOUN
ajset-592	200	8	i	i	NOUN
ajset-592	200	9	c	c	NOUN
ajset-592	200	10	j	j	NOUN
ajset-592	200	11	o	o	X
ajset-592	200	12	u	u	NOUN
ajset-592	200	13	r	r	NOUN
ajset-592	200	14	n	n	NOUN
ajset-592	200	15	a	a	DET
ajset-592	200	16	l	l	NOUN
ajset-592	201	1	o	o	X
ajset-592	201	2	f	f	X
ajset-592	201	3	s	s	X
ajset-592	201	4	c	c	NOUN
ajset-592	202	1	i	i	NOUN
ajset-592	202	2	e	e	PROPN
ajset-592	202	3	n	n	PROPN
ajset-592	202	4	c	c	NOUN
ajset-592	202	5	e	e	X
ajset-592	202	6	,	,	PUNCT
ajset-592	202	7	e	e	PROPN
ajset-592	202	8	n	n	PRON
ajset-592	202	9	g	g	NOUN
ajset-592	202	10	i	i	PRON
ajset-592	202	11	n	n	VERB
ajset-592	202	12	e	e	NOUN
ajset-592	202	13	e	e	NOUN
ajset-592	202	14	r	r	VERB
ajset-592	202	15	i	i	PRON
ajset-592	202	16	n	n	CCONJ
ajset-592	202	17	g	g	PROPN
ajset-592	202	18	a	a	DET
ajset-592	202	19	n	n	NOUN
ajset-592	202	20	d	d	NOUN
ajset-592	202	21	t	t	NOUN
ajset-592	202	22	e	e	X
ajset-592	202	23	c	c	NOUN
ajset-592	202	24	h	h	NOUN
ajset-592	202	25	n	n	ADV
ajset-592	202	26	o	o	NOUN
ajset-592	202	27	l	l	NOUN
ajset-592	203	1	o	o	X
ajset-592	203	2	g	g	NOUN
ajset-592	203	3	y	y	PROPN
ajset-592	203	4	|	|	ADV
ajset-592	203	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	203	6	time	time	NOUN
ajset-592	203	7	(	(	PUNCT
ajset-592	203	8	min	min	NOUN
ajset-592	203	9	)	)	PUNCT
ajset-592	203	10	21	21	NUM
ajset-592	203	11	21	21	NUM
ajset-592	203	12	21	21	NUM
ajset-592	203	13	21	21	NUM
ajset-592	203	14	f	f	X
ajset-592	203	15	-	-	PUNCT
ajset-592	203	16	score	score	NOUN
ajset-592	203	17	(	(	PUNCT
ajset-592	203	18	%	%	INTJ
ajset-592	203	19	)	)	PUNCT
ajset-592	203	20	92.44	92.44	NUM
ajset-592	203	21	66.67	66.67	NUM
ajset-592	203	22	23.91	23.91	NUM
ajset-592	203	23	16.39	16.39	NUM
ajset-592	203	24	table	table	NOUN
ajset-592	203	25	3	3	NUM
ajset-592	203	26	:	:	PUNCT
ajset-592	203	27	dknn	dknn	PROPN
ajset-592	203	28	technical	technical	PROPN
ajset-592	203	29	details	details	PROPN
ajset-592	203	30	case	case	NOUN
ajset-592	203	31	case	case	NOUN
ajset-592	203	32	1	1	NUM
ajset-592	203	33	case	case	NOUN
ajset-592	203	34	2	2	NUM
ajset-592	203	35	method	method	NOUN
ajset-592	203	36	dknn	dknn	PROPN
ajset-592	203	37	dmd	dmd	PROPN
ajset-592	203	38	dknn	dknn	PROPN
ajset-592	203	39	dmd	dmd	PROPN
ajset-592	203	40	time	time	PROPN
ajset-592	203	41	(	(	PUNCT
ajset-592	203	42	min	min	NOUN
ajset-592	203	43	)	)	PUNCT
ajset-592	203	44	21	21	NUM
ajset-592	203	45	21	21	NUM
ajset-592	203	46	21	21	NUM
ajset-592	203	47	21	21	NUM
ajset-592	203	48	f	f	X
ajset-592	203	49	-	-	PUNCT
ajset-592	203	50	score	score	NOUN
ajset-592	203	51	(	(	PUNCT
ajset-592	203	52	%	%	INTJ
ajset-592	203	53	)	)	PUNCT
ajset-592	203	54	92.44	92.44	NUM
ajset-592	203	55	66.67	66.67	NUM
ajset-592	203	56	23.91	23.91	NUM
ajset-592	203	57	16.39	16.39	NUM
ajset-592	203	58	4.2	4.2	NUM
ajset-592	203	59	.	.	PUNCT
ajset-592	203	60	example	example	NOUN
ajset-592	204	1	2	2	NUM
ajset-592	204	2	next	next	ADV
ajset-592	204	3	we	we	PRON
ajset-592	204	4	consider	consider	VERB
ajset-592	204	5	a	a	DET
ajset-592	204	6	more	more	ADV
ajset-592	204	7	complicated	complicated	ADJ
ajset-592	204	8	example	example	NOUN
ajset-592	204	9	,	,	PUNCT
ajset-592	204	10	which	which	PRON
ajset-592	204	11	is	be	AUX
ajset-592	204	12	of	of	ADP
ajset-592	204	13	great	great	ADJ
ajset-592	204	14	biological	biological	ADJ
ajset-592	204	15	interest	interest	NOUN
ajset-592	204	16	as	as	ADV
ajset-592	204	17	well	well	ADV
ajset-592	204	18	.	.	PUNCT
ajset-592	205	1	the	the	DET
ajset-592	205	2	sps	sps	NOUN
ajset-592	205	3	consists	consist	VERB
ajset-592	205	4	of	of	ADP
ajset-592	205	5	five	five	NUM
ajset-592	205	6	biochemical	biochemical	ADJ
ajset-592	205	7	reactions	reaction	NOUN
ajset-592	205	8	:	:	PUNCT
ajset-592	205	9	(	(	PUNCT
ajset-592	205	10	15	15	X
ajset-592	205	11	)	)	PUNCT
ajset-592	205	12	the	the	DET
ajset-592	205	13	system	system	NOUN
ajset-592	205	14	as	as	ADP
ajset-592	205	15	a	a	DET
ajset-592	205	16	whole	whole	NOUN
ajset-592	205	17	is	be	AUX
ajset-592	205	18	named	name	VERB
ajset-592	205	19	telegraph	telegraph	NOUN
ajset-592	205	20	model	model	NOUN
ajset-592	205	21	,	,	PUNCT
ajset-592	205	22	which	which	PRON
ajset-592	205	23	is	be	AUX
ajset-592	205	24	a	a	DET
ajset-592	205	25	renowned	renowned	ADJ
ajset-592	205	26	model	model	NOUN
ajset-592	205	27	for	for	ADP
ajset-592	205	28	gene	gene	NOUN
ajset-592	205	29	expression	expression	NOUN
ajset-592	205	30	in	in	ADP
ajset-592	205	31	[	[	X
ajset-592	205	32	44	44	NUM
ajset-592	205	33	]	]	PUNCT
ajset-592	205	34	.	.	PUNCT
ajset-592	206	1	the	the	DET
ajset-592	206	2	symbols	symbol	NOUN
ajset-592	206	3	and	and	CCONJ
ajset-592	206	4	stand	stand	VERB
ajset-592	206	5	for	for	ADP
ajset-592	206	6	two	two	NUM
ajset-592	206	7	gene	gene	NOUN
ajset-592	206	8	states	state	NOUN
ajset-592	206	9	that	that	PRON
ajset-592	206	10	are	be	AUX
ajset-592	206	11	actively	actively	ADV
ajset-592	206	12	expressing	express	VERB
ajset-592	206	13	proteins	protein	NOUN
ajset-592	206	14	(	(	PUNCT
ajset-592	206	15	usually	usually	ADV
ajset-592	206	16	referred	refer	VERB
ajset-592	206	17	as	as	ADP
ajset-592	206	18	on	on	ADP
ajset-592	206	19	state	state	NOUN
ajset-592	206	20	)	)	PUNCT
ajset-592	206	21	and	and	CCONJ
ajset-592	206	22	less	less	ADV
ajset-592	206	23	active	active	ADJ
ajset-592	206	24	(	(	PUNCT
ajset-592	206	25	referred	refer	VERB
ajset-592	206	26	as	as	ADP
ajset-592	206	27	off	off	ADP
ajset-592	206	28	state	state	NOUN
ajset-592	206	29	with	with	ADP
ajset-592	206	30	leakage	leakage	NOUN
ajset-592	206	31	)	)	PUNCT
ajset-592	206	32	.	.	PUNCT
ajset-592	207	1	the	the	DET
ajset-592	207	2	first	first	ADJ
ajset-592	207	3	two	two	NUM
ajset-592	207	4	reactions	reaction	NOUN
ajset-592	207	5	in	in	ADP
ajset-592	207	6	(	(	PUNCT
ajset-592	207	7	15	15	NUM
ajset-592	207	8	)	)	PUNCT
ajset-592	207	9	mean	mean	NOUN
ajset-592	207	10	protein	protein	NOUN
ajset-592	207	11	being	be	AUX
ajset-592	207	12	expressed	express	VERB
ajset-592	207	13	,	,	PUNCT
ajset-592	207	14	the	the	DET
ajset-592	207	15	third	third	ADJ
ajset-592	207	16	stands	stand	VERB
ajset-592	207	17	for	for	ADP
ajset-592	207	18	protein	protein	NOUN
ajset-592	207	19	degradation	degradation	NOUN
ajset-592	207	20	,	,	PUNCT
ajset-592	207	21	the	the	DET
ajset-592	207	22	fourth	fourth	ADJ
ajset-592	207	23	and	and	CCONJ
ajset-592	207	24	fifth	fifth	ADJ
ajset-592	207	25	mean	mean	VERB
ajset-592	207	26	that	that	SCONJ
ajset-592	207	27	the	the	DET
ajset-592	207	28	gene	gene	NOUN
ajset-592	207	29	is	be	AUX
ajset-592	207	30	hopping	hop	VERB
ajset-592	207	31	between	between	ADP
ajset-592	207	32	on	on	ADP
ajset-592	207	33	and	and	CCONJ
ajset-592	207	34	off	off	ADP
ajset-592	207	35	states	state	NOUN
ajset-592	207	36	.	.	PUNCT
ajset-592	208	1	the	the	DET
ajset-592	208	2	kinetic	kinetic	ADJ
ajset-592	208	3	parameters	parameter	NOUN
ajset-592	208	4	we	we	PRON
ajset-592	208	5	use	use	VERB
ajset-592	208	6	here	here	ADV
ajset-592	208	7	are	be	AUX
ajset-592	208	8	:	:	PUNCT
ajset-592	208	9	,	,	PUNCT
ajset-592	208	10	,	,	PUNCT
ajset-592	208	11	,	,	PUNCT
ajset-592	208	12	,	,	PUNCT
ajset-592	208	13	.	.	PUNCT
ajset-592	209	1	by	by	ADP
ajset-592	209	2	using	use	VERB
ajset-592	209	3	ssa	ssa	NOUN
ajset-592	209	4	,	,	PUNCT
ajset-592	209	5	we	we	PRON
ajset-592	209	6	collect	collect	VERB
ajset-592	209	7	data	datum	NOUN
ajset-592	209	8	at	at	ADP
ajset-592	209	9	time	time	NOUN
ajset-592	209	10	min	min	NOUN
ajset-592	209	11	to	to	PART
ajset-592	209	12	create	create	VERB
ajset-592	209	13	a	a	DET
ajset-592	209	14	training	training	NOUN
ajset-592	209	15	dataset	dataset	NOUN
ajset-592	209	16	of	of	ADP
ajset-592	209	17	size	size	NOUN
ajset-592	209	18	2000	2000	NUM
ajset-592	209	19	and	and	CCONJ
ajset-592	209	20	a	a	DET
ajset-592	209	21	test	test	NOUN
ajset-592	209	22	dataset	dataset	NOUN
ajset-592	209	23	of	of	ADP
ajset-592	209	24	size	size	NOUN
ajset-592	209	25	100	100	NUM
ajset-592	209	26	.	.	PUNCT
ajset-592	210	1	both	both	DET
ajset-592	210	2	datasets	dataset	NOUN
ajset-592	210	3	contain	contain	VERB
ajset-592	210	4	the	the	DET
ajset-592	210	5	moments	moment	NOUN
ajset-592	210	6	of	of	ADP
ajset-592	210	7	order	order	NOUN
ajset-592	210	8	up	up	ADP
ajset-592	210	9	to	to	PART
ajset-592	210	10	3	3	NUM
ajset-592	210	11	.	.	PUNCT
ajset-592	211	1	by	by	ADP
ajset-592	211	2	training	train	VERB
ajset-592	211	3	dknn	dknn	PROPN
ajset-592	211	4	and	and	CCONJ
ajset-592	211	5	dmd	dmd	NOUN
ajset-592	211	6	model	model	NOUN
ajset-592	211	7	on	on	ADP
ajset-592	211	8	the	the	DET
ajset-592	211	9	training	training	NOUN
ajset-592	211	10	dataset	dataset	NOUN
ajset-592	211	11	and	and	CCONJ
ajset-592	211	12	comparing	compare	VERB
ajset-592	211	13	both	both	PRON
ajset-592	211	14	on	on	ADP
ajset-592	211	15	the	the	DET
ajset-592	211	16	test	test	NOUN
ajset-592	211	17	dataset	dataset	NOUN
ajset-592	211	18	,	,	PUNCT
ajset-592	211	19	it	it	PRON
ajset-592	211	20	is	be	AUX
ajset-592	211	21	found	find	VERB
ajset-592	211	22	in	in	ADP
ajset-592	211	23	figure	figure	NOUN
ajset-592	211	24	10	10	NUM
ajset-592	211	25	that	that	PRON
ajset-592	211	26	dknn	dknn	PROPN
ajset-592	211	27	is	be	AUX
ajset-592	211	28	remarkably	remarkably	ADV
ajset-592	211	29	better	well	ADJ
ajset-592	211	30	than	than	ADP
ajset-592	211	31	dmd	dmd	NOUN
ajset-592	211	32	for	for	ADP
ajset-592	211	33	predicting	predict	VERB
ajset-592	211	34	all	all	DET
ajset-592	211	35	the	the	DET
ajset-592	211	36	moments	moment	NOUN
ajset-592	211	37	,	,	PUNCT
ajset-592	211	38	despite	despite	SCONJ
ajset-592	211	39	a	a	DET
ajset-592	211	40	loss	loss	NOUN
ajset-592	211	41	in	in	ADP
ajset-592	211	42	accuracy	accuracy	NOUN
ajset-592	211	43	compared	compare	VERB
ajset-592	211	44	to	to	ADP
ajset-592	211	45	the	the	DET
ajset-592	211	46	result	result	NOUN
ajset-592	211	47	of	of	ADP
ajset-592	211	48	example	example	NOUN
ajset-592	212	1	1	1	X
ajset-592	212	2	.	.	PUNCT
ajset-592	213	1	however	however	ADV
ajset-592	213	2	,	,	PUNCT
ajset-592	213	3	it	it	PRON
ajset-592	213	4	is	be	AUX
ajset-592	213	5	with	with	ADP
ajset-592	213	6	expectation	expectation	NOUN
ajset-592	213	7	,	,	PUNCT
ajset-592	213	8	since	since	SCONJ
ajset-592	213	9	the	the	DET
ajset-592	213	10	distribution	distribution	NOUN
ajset-592	213	11	for	for	ADP
ajset-592	213	12	the	the	DET
ajset-592	213	13	kinetic	kinetic	ADJ
ajset-592	213	14	parameters	parameter	NOUN
ajset-592	213	15	selected	select	VERB
ajset-592	213	16	is	be	AUX
ajset-592	213	17	bimodal	bimodal	NOUN
ajset-592	213	18	suggesting	suggest	VERB
ajset-592	213	19	the	the	DET
ajset-592	213	20	protein	protein	NOUN
ajset-592	213	21	number	number	NOUN
ajset-592	213	22	is	be	AUX
ajset-592	213	23	fluctuating	fluctuate	VERB
ajset-592	213	24	between	between	ADP
ajset-592	213	25	two	two	NUM
ajset-592	213	26	disparate	disparate	ADJ
ajset-592	213	27	levels	level	NOUN
ajset-592	213	28	(	(	PUNCT
ajset-592	213	29	see	see	VERB
ajset-592	213	30	figure	figure	NOUN
ajset-592	213	31	11	11	NUM
ajset-592	213	32	)	)	PUNCT
ajset-592	213	33	.	.	PUNCT
ajset-592	214	1	in	in	ADP
ajset-592	214	2	the	the	DET
ajset-592	214	3	following	following	NOUN
ajset-592	214	4	,	,	PUNCT
ajset-592	214	5	we	we	PRON
ajset-592	214	6	further	far	ADV
ajset-592	214	7	compare	compare	VERB
ajset-592	214	8	both	both	DET
ajset-592	214	9	models	model	NOUN
ajset-592	214	10	on	on	ADP
ajset-592	214	11	detecting	detect	VERB
ajset-592	214	12	two	two	NUM
ajset-592	214	13	different	different	ADJ
ajset-592	214	14	types	type	NOUN
ajset-592	214	15	of	of	ADP
ajset-592	214	16	anomalies	anomaly	NOUN
ajset-592	214	17	.	.	PUNCT
ajset-592	215	1	4.2.1	4.2.1	NOUN
ajset-592	215	2	.	.	PUNCT
ajset-592	215	3	case	case	NOUN
ajset-592	215	4	1	1	NUM
ajset-592	215	5	the	the	DET
ajset-592	215	6	rate	rate	NOUN
ajset-592	215	7	is	be	AUX
ajset-592	215	8	changed	change	VERB
ajset-592	215	9	to	to	ADP
ajset-592	215	10	40	40	NUM
ajset-592	215	11	at	at	ADP
ajset-592	215	12	time	time	NOUN
ajset-592	215	13	min	min	PROPN
ajset-592	215	14	,	,	PUNCT
ajset-592	215	15	which	which	PRON
ajset-592	215	16	corresponds	correspond	VERB
ajset-592	215	17	to	to	ADP
ajset-592	215	18	gene	gene	NOUN
ajset-592	215	19	expression	expression	NOUN
ajset-592	215	20	process	process	NOUN
ajset-592	215	21	of	of	ADP
ajset-592	215	22	state	state	NOUN
ajset-592	215	23	on	on	ADP
ajset-592	215	24	changed	change	VERB
ajset-592	215	25	.	.	PUNCT
ajset-592	216	1	based	base	VERB
ajset-592	216	2	on	on	ADP
ajset-592	216	3	the	the	DET
ajset-592	216	4	yielded	yielded	ADJ
ajset-592	216	5	models	model	NOUN
ajset-592	216	6	and	and	CCONJ
ajset-592	216	7	the	the	DET
ajset-592	216	8	associated	associated	ADJ
ajset-592	216	9	residues	residue	NOUN
ajset-592	216	10	,	,	PUNCT
ajset-592	216	11	svdd	svdd	PROPN
ajset-592	216	12	computes	compute	VERB
ajset-592	216	13	the	the	DET
ajset-592	216	14	radii	radius	NOUN
ajset-592	216	15	of	of	ADP
ajset-592	216	16	90	90	NUM
ajset-592	216	17	%	%	NOUN
ajset-592	216	18	confidence	confidence	NOUN
ajset-592	216	19	interval	interval	NOUN
ajset-592	216	20	for	for	ADP
ajset-592	216	21	anomaly	anomaly	NOUN
ajset-592	216	22	detection	detection	NOUN
ajset-592	216	23	.	.	PUNCT
ajset-592	217	1	the	the	DET
ajset-592	217	2	detection	detection	NOUN
ajset-592	217	3	result	result	NOUN
ajset-592	217	4	is	be	AUX
ajset-592	217	5	reported	report	VERB
ajset-592	217	6	in	in	ADP
ajset-592	217	7	table	table	NOUN
ajset-592	217	8	2	2	NUM
ajset-592	217	9	,	,	PUNCT
ajset-592	217	10	where	where	SCONJ
ajset-592	217	11	the	the	DET
ajset-592	217	12	fscores	fscore	NOUN
ajset-592	217	13	strongly	strongly	ADV
ajset-592	217	14	support	support	VERB
ajset-592	217	15	the	the	DET
ajset-592	217	16	superiority	superiority	NOUN
ajset-592	217	17	of	of	ADP
ajset-592	217	18	dknn	dknn	PROPN
ajset-592	217	19	.	.	PUNCT
ajset-592	218	1	4.2.2	4.2.2	X
ajset-592	218	2	.	.	PUNCT
ajset-592	218	3	case	case	NOUN
ajset-592	218	4	2	2	NUM
ajset-592	218	5	the	the	DET
ajset-592	218	6	rate	rate	NOUN
ajset-592	218	7	is	be	AUX
ajset-592	218	8	changed	change	VERB
ajset-592	218	9	to	to	ADP
ajset-592	218	10	at	at	ADP
ajset-592	218	11	time	time	NOUN
ajset-592	218	12	min	min	PROPN
ajset-592	218	13	,	,	PUNCT
ajset-592	218	14	which	which	PRON
ajset-592	218	15	corresponds	correspond	VERB
ajset-592	218	16	the	the	DET
ajset-592	218	17	gene	gene	NOUN
ajset-592	218	18	is	be	AUX
ajset-592	218	19	more	more	ADV
ajset-592	218	20	often	often	ADV
ajset-592	218	21	switching	switch	VERB
ajset-592	218	22	to	to	ADP
ajset-592	218	23	off	off	ADP
ajset-592	218	24	state	state	NOUN
ajset-592	218	25	.	.	PUNCT
ajset-592	219	1	by	by	ADP
ajset-592	219	2	applying	apply	VERB
ajset-592	219	3	the	the	DET
ajset-592	219	4	same	same	ADJ
ajset-592	219	5	process	process	NOUN
ajset-592	219	6	monitoring	monitoring	NOUN
ajset-592	219	7	protocol	protocol	NOUN
ajset-592	219	8	again	again	ADV
ajset-592	219	9	,	,	PUNCT
ajset-592	219	10	the	the	DET
ajset-592	219	11	results	result	NOUN
ajset-592	219	12	in	in	ADP
ajset-592	219	13	table	table	NOUN
ajset-592	219	14	2	2	NUM
ajset-592	219	15	again	again	ADV
ajset-592	219	16	confirms	confirm	VERB
ajset-592	219	17	dknn	dknn	PROPN
ajset-592	219	18	's	's	PART
ajset-592	219	19	supremacy	supremacy	NOUN
ajset-592	219	20	against	against	ADP
ajset-592	219	21	dmd	dmd	NOUN
ajset-592	219	22	.	.	PUNCT
ajset-592	220	1	however	however	ADV
ajset-592	220	2	,	,	PUNCT
ajset-592	220	3	the	the	DET
ajset-592	220	4	f	f	NOUN
ajset-592	220	5	-	-	PUNCT
ajset-592	220	6	scores	score	NOUN
ajset-592	220	7	are	be	AUX
ajset-592	220	8	lower	low	ADJ
ajset-592	220	9	than	than	ADP
ajset-592	220	10	that	that	PRON
ajset-592	220	11	of	of	ADP
ajset-592	220	12	case	case	NOUN
ajset-592	220	13	1	1	X
ajset-592	220	14	.	.	PUNCT
ajset-592	221	1	it	it	PRON
ajset-592	221	2	may	may	AUX
ajset-592	221	3	be	be	AUX
ajset-592	221	4	related	relate	VERB
ajset-592	221	5	to	to	ADP
ajset-592	221	6	that	that	DET
ajset-592	221	7	case	case	NOUN
ajset-592	221	8	2	2	NUM
ajset-592	221	9	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	221	10	academic	academic	ADJ
ajset-592	221	11	journal	journal	NOUN
ajset-592	221	12	of	of	ADP
ajset-592	221	13	science	science	NOUN
ajset-592	221	14	,	,	PUNCT
ajset-592	221	15	engineering	engineering	NOUN
ajset-592	221	16	and	and	CCONJ
ajset-592	221	17	technology	technology	NOUN
ajset-592	221	18	vol.7	vol.7	PROPN
ajset-592	221	19	,	,	PUNCT
ajset-592	221	20	issue	issue	NOUN
ajset-592	221	21	1	1	NUM
ajset-592	221	22	;	;	PUNCT
ajset-592	221	23	january	january	PROPN
ajset-592	221	24	febuary	febuary	PROPN
ajset-592	221	25	2022	2022	NUM
ajset-592	221	26	;	;	PUNCT
ajset-592	221	27	1252	1252	NUM
ajset-592	221	28	columbia	columbia	PROPN
ajset-592	221	29	rd	rd	PROPN
ajset-592	221	30	nw	nw	PROPN
ajset-592	221	31	,	,	PUNCT
ajset-592	221	32	washington	washington	PROPN
ajset-592	221	33	dc	dc	PROPN
ajset-592	221	34	,	,	PUNCT
ajset-592	221	35	united	united	PROPN
ajset-592	221	36	states	states	PROPN
ajset-592	221	37	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	221	38	;	;	PUNCT
ajset-592	221	39	mail	mail	NOUN
ajset-592	221	40	:	:	PUNCT
ajset-592	222	1	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	223	1	25	25	NUM
ajset-592	224	1	|	|	ADV
ajset-592	224	2	a	a	DET
ajset-592	224	3	c	c	NOUN
ajset-592	224	4	a	a	PRON
ajset-592	224	5	d	d	X
ajset-592	224	6	e	e	NOUN
ajset-592	224	7	m	m	NOUN
ajset-592	224	8	i	i	NOUN
ajset-592	224	9	c	c	NOUN
ajset-592	224	10	j	j	NOUN
ajset-592	224	11	o	o	X
ajset-592	224	12	u	u	NOUN
ajset-592	224	13	r	r	NOUN
ajset-592	224	14	n	n	NOUN
ajset-592	224	15	a	a	DET
ajset-592	224	16	l	l	NOUN
ajset-592	225	1	o	o	X
ajset-592	225	2	f	f	X
ajset-592	225	3	s	s	X
ajset-592	225	4	c	c	NOUN
ajset-592	226	1	i	i	NOUN
ajset-592	226	2	e	e	PROPN
ajset-592	226	3	n	n	PROPN
ajset-592	226	4	c	c	NOUN
ajset-592	226	5	e	e	X
ajset-592	226	6	,	,	PUNCT
ajset-592	226	7	e	e	PROPN
ajset-592	226	8	n	n	PRON
ajset-592	226	9	g	g	NOUN
ajset-592	226	10	i	i	PRON
ajset-592	226	11	n	n	VERB
ajset-592	226	12	e	e	NOUN
ajset-592	226	13	e	e	NOUN
ajset-592	226	14	r	r	VERB
ajset-592	226	15	i	i	PRON
ajset-592	226	16	n	n	CCONJ
ajset-592	226	17	g	g	PROPN
ajset-592	226	18	a	a	DET
ajset-592	226	19	n	n	NOUN
ajset-592	226	20	d	d	NOUN
ajset-592	226	21	t	t	NOUN
ajset-592	226	22	e	e	X
ajset-592	226	23	c	c	NOUN
ajset-592	226	24	h	h	NOUN
ajset-592	226	25	n	n	ADV
ajset-592	226	26	o	o	NOUN
ajset-592	226	27	l	l	NOUN
ajset-592	227	1	o	o	X
ajset-592	227	2	g	g	NOUN
ajset-592	227	3	y	y	PROPN
ajset-592	227	4	|	|	ADV
ajset-592	227	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	227	6	corresponds	correspond	NOUN
ajset-592	227	7	to	to	ADP
ajset-592	227	8	a	a	DET
ajset-592	227	9	perturbation	perturbation	NOUN
ajset-592	227	10	on	on	ADP
ajset-592	227	11	the	the	DET
ajset-592	227	12	upstream	upstream	NOUN
ajset-592	227	13	of	of	ADP
ajset-592	227	14	gene	gene	NOUN
ajset-592	227	15	expression	expression	NOUN
ajset-592	227	16	,	,	PUNCT
ajset-592	227	17	while	while	SCONJ
ajset-592	227	18	case	case	NOUN
ajset-592	227	19	1	1	NUM
ajset-592	227	20	corresponds	correspond	VERB
ajset-592	227	21	to	to	ADP
ajset-592	227	22	the	the	DET
ajset-592	227	23	downstream	downstream	NOUN
ajset-592	227	24	.	.	PUNCT
ajset-592	228	1	the	the	DET
ajset-592	228	2	upstream	upstream	ADJ
ajset-592	228	3	perturbation	perturbation	NOUN
ajset-592	228	4	may	may	AUX
ajset-592	228	5	be	be	AUX
ajset-592	228	6	buffered	buffer	VERB
ajset-592	228	7	by	by	ADP
ajset-592	228	8	a	a	DET
ajset-592	228	9	multitude	multitude	NOUN
ajset-592	228	10	of	of	ADP
ajset-592	228	11	downstream	downstream	ADJ
ajset-592	228	12	processes	process	NOUN
ajset-592	228	13	,	,	PUNCT
ajset-592	228	14	and	and	CCONJ
ajset-592	228	15	thus	thus	ADV
ajset-592	228	16	becomes	become	VERB
ajset-592	228	17	more	more	ADV
ajset-592	228	18	challenging	challenging	ADJ
ajset-592	228	19	to	to	PART
ajset-592	228	20	detect	detect	VERB
ajset-592	228	21	.	.	PUNCT
ajset-592	229	1	nevertheless	nevertheless	ADV
ajset-592	229	2	,	,	PUNCT
ajset-592	229	3	case	case	NOUN
ajset-592	229	4	2	2	NUM
ajset-592	229	5	provides	provide	VERB
ajset-592	229	6	an	an	DET
ajset-592	229	7	excellent	excellent	ADJ
ajset-592	229	8	arena	arena	NOUN
ajset-592	229	9	for	for	ADP
ajset-592	229	10	benchmarking	benchmarke	VERB
ajset-592	229	11	various	various	ADJ
ajset-592	229	12	process	process	NOUN
ajset-592	229	13	monitoring	monitor	VERB
ajset-592	229	14	methods	method	NOUN
ajset-592	229	15	.	.	PUNCT
ajset-592	230	1	5	5	X
ajset-592	230	2	.	.	X
ajset-592	230	3	conclusions	conclusion	NOUN
ajset-592	230	4	in	in	ADP
ajset-592	230	5	this	this	DET
ajset-592	230	6	paper	paper	NOUN
ajset-592	230	7	,	,	PUNCT
ajset-592	230	8	we	we	PRON
ajset-592	230	9	discuss	discuss	VERB
ajset-592	230	10	the	the	DET
ajset-592	230	11	process	process	NOUN
ajset-592	230	12	monitoring	monitor	VERB
ajset-592	230	13	for	for	ADP
ajset-592	230	14	sps	sps	NOUN
ajset-592	230	15	and	and	CCONJ
ajset-592	230	16	develop	develop	VERB
ajset-592	230	17	an	an	DET
ajset-592	230	18	integrated	integrate	VERB
ajset-592	230	19	method	method	NOUN
ajset-592	230	20	of	of	ADP
ajset-592	230	21	koopman	koopman	NOUN
ajset-592	230	22	operator	operator	NOUN
ajset-592	230	23	theory	theory	NOUN
ajset-592	230	24	and	and	CCONJ
ajset-592	230	25	deep	deep	ADJ
ajset-592	230	26	neural	neural	ADJ
ajset-592	230	27	network	network	NOUN
ajset-592	230	28	to	to	PART
ajset-592	230	29	solve	solve	VERB
ajset-592	230	30	it	it	PRON
ajset-592	230	31	.	.	PUNCT
ajset-592	231	1	the	the	DET
ajset-592	231	2	method	method	NOUN
ajset-592	231	3	uses	use	VERB
ajset-592	231	4	a	a	DET
ajset-592	231	5	deep	deep	ADJ
ajset-592	231	6	autoencoder	autoencoder	NOUN
ajset-592	231	7	structure	structure	NOUN
ajset-592	231	8	to	to	PART
ajset-592	231	9	establish	establish	VERB
ajset-592	231	10	a	a	DET
ajset-592	231	11	bijective	bijective	ADJ
ajset-592	231	12	mapping	mapping	NOUN
ajset-592	231	13	between	between	ADP
ajset-592	231	14	original	original	ADJ
ajset-592	231	15	space	space	NOUN
ajset-592	231	16	and	and	CCONJ
ajset-592	231	17	a	a	DET
ajset-592	231	18	high	high	ADV
ajset-592	231	19	-	-	PUNCT
ajset-592	231	20	dimensional	dimensional	ADJ
ajset-592	231	21	linear	linear	ADJ
ajset-592	231	22	space	space	NOUN
ajset-592	231	23	,	,	PUNCT
ajset-592	231	24	where	where	SCONJ
ajset-592	231	25	the	the	DET
ajset-592	231	26	koopman	koopman	NOUN
ajset-592	231	27	operator	operator	NOUN
ajset-592	231	28	operates	operate	VERB
ajset-592	231	29	.	.	PUNCT
ajset-592	232	1	an	an	DET
ajset-592	232	2	anomaly	anomaly	NOUN
ajset-592	232	3	detection	detection	NOUN
ajset-592	232	4	threshold	threshold	NOUN
ajset-592	232	5	is	be	AUX
ajset-592	232	6	computed	compute	VERB
ajset-592	232	7	by	by	ADP
ajset-592	232	8	svdd	svdd	NOUN
ajset-592	232	9	on	on	ADP
ajset-592	232	10	the	the	DET
ajset-592	232	11	basis	basis	NOUN
ajset-592	232	12	of	of	ADP
ajset-592	232	13	unmodeled	unmodeled	ADJ
ajset-592	232	14	residues	residue	NOUN
ajset-592	232	15	.	.	PUNCT
ajset-592	233	1	it	it	PRON
ajset-592	233	2	is	be	AUX
ajset-592	233	3	also	also	ADV
ajset-592	233	4	argued	argue	VERB
ajset-592	233	5	that	that	SCONJ
ajset-592	233	6	given	give	VERB
ajset-592	233	7	the	the	DET
ajset-592	233	8	novel	novel	ADJ
ajset-592	233	9	type	type	NOUN
ajset-592	233	10	of	of	ADP
ajset-592	233	11	stochasticity⁠—intrinsic	stochasticity⁠—intrinsic	ADJ
ajset-592	233	12	noise	noise	NOUN
ajset-592	233	13	,	,	PUNCT
ajset-592	233	14	the	the	DET
ajset-592	233	15	sps	sps	NOUN
ajset-592	233	16	in	in	ADP
ajset-592	233	17	the	the	DET
ajset-592	233	18	form	form	NOUN
ajset-592	233	19	of	of	ADP
ajset-592	233	20	biochemical	biochemical	ADJ
ajset-592	233	21	systems	system	NOUN
ajset-592	233	22	simulated	simulate	VERB
ajset-592	233	23	by	by	ADP
ajset-592	233	24	ssa	ssa	PROPN
ajset-592	233	25	can	can	AUX
ajset-592	233	26	serve	serve	VERB
ajset-592	233	27	as	as	ADP
ajset-592	233	28	an	an	DET
ajset-592	233	29	excellent	excellent	ADJ
ajset-592	233	30	arena	arena	NOUN
ajset-592	233	31	for	for	ADP
ajset-592	233	32	benchmarking	benchmarke	VERB
ajset-592	233	33	various	various	ADJ
ajset-592	233	34	process	process	NOUN
ajset-592	233	35	monitoring	monitor	VERB
ajset-592	233	36	methods	method	NOUN
ajset-592	233	37	.	.	PUNCT
ajset-592	234	1	as	as	SCONJ
ajset-592	234	2	sps	sps	PROPN
ajset-592	234	3	data	data	PROPN
ajset-592	234	4	is	be	AUX
ajset-592	234	5	remarkably	remarkably	ADV
ajset-592	234	6	noisy	noisy	ADJ
ajset-592	234	7	,	,	PUNCT
ajset-592	234	8	we	we	PRON
ajset-592	234	9	propose	propose	VERB
ajset-592	234	10	to	to	PART
ajset-592	234	11	use	use	VERB
ajset-592	234	12	ensemble	ensemble	ADJ
ajset-592	234	13	method	method	NOUN
ajset-592	234	14	to	to	PART
ajset-592	234	15	tackle	tackle	VERB
ajset-592	234	16	it	it	PRON
ajset-592	234	17	and	and	CCONJ
ajset-592	234	18	conclude	conclude	VERB
ajset-592	234	19	that	that	PRON
ajset-592	234	20	high	high	ADJ
ajset-592	234	21	-	-	PUNCT
ajset-592	234	22	order	order	NOUN
ajset-592	234	23	moments	moment	NOUN
ajset-592	234	24	have	have	VERB
ajset-592	234	25	to	to	PART
ajset-592	234	26	be	be	AUX
ajset-592	234	27	incorporated	incorporate	VERB
ajset-592	234	28	for	for	ADP
ajset-592	234	29	robustness	robustness	NOUN
ajset-592	234	30	.	.	PUNCT
ajset-592	235	1	6	6	X
ajset-592	235	2	.	.	X
ajset-592	235	3	appendix	appendix	NOUN
ajset-592	235	4	6.1	6.1	NUM
ajset-592	235	5	.	.	PUNCT
ajset-592	236	1	moment	moment	NOUN
ajset-592	236	2	calculation	calculation	NOUN
ajset-592	236	3	the	the	DET
ajset-592	236	4	moments	moment	NOUN
ajset-592	236	5	in	in	ADP
ajset-592	236	6	data	datum	NOUN
ajset-592	236	7	are	be	AUX
ajset-592	236	8	calculated	calculate	VERB
ajset-592	236	9	as	as	ADP
ajset-592	236	10	central	central	ADJ
ajset-592	236	11	moments	moment	NOUN
ajset-592	236	12	(	(	PUNCT
ajset-592	236	13	16	16	NUM
ajset-592	236	14	)	)	PUNCT
ajset-592	236	15	where	where	SCONJ
ajset-592	236	16	is	be	AUX
ajset-592	236	17	the	the	DET
ajset-592	236	18	number	number	NOUN
ajset-592	236	19	of	of	ADP
ajset-592	236	20	samples	sample	NOUN
ajset-592	236	21	,	,	PUNCT
ajset-592	236	22	stands	stand	VERB
ajset-592	236	23	for	for	ADP
ajset-592	236	24	the	the	DET
ajset-592	236	25	value	value	NOUN
ajset-592	236	26	of	of	ADP
ajset-592	236	27	sample	sample	NOUN
ajset-592	236	28	at	at	ADP
ajset-592	236	29	a	a	DET
ajset-592	236	30	certain	certain	ADJ
ajset-592	236	31	time	time	NOUN
ajset-592	236	32	,	,	PUNCT
ajset-592	236	33	and	and	CCONJ
ajset-592	236	34	is	be	AUX
ajset-592	236	35	the	the	DET
ajset-592	236	36	mean	mean	NOUN
ajset-592	236	37	of	of	ADP
ajset-592	236	38	sample	sample	NOUN
ajset-592	236	39	.	.	PUNCT
ajset-592	237	1	6.2	6.2	NUM
ajset-592	237	2	.	.	PUNCT
ajset-592	238	1	moment	moment	NOUN
ajset-592	238	2	normalization	normalization	NOUN
ajset-592	238	3	the	the	DET
ajset-592	238	4	moments	moment	NOUN
ajset-592	238	5	in	in	ADP
ajset-592	238	6	the	the	DET
ajset-592	238	7	normal	normal	ADJ
ajset-592	238	8	case	case	NOUN
ajset-592	238	9	is	be	AUX
ajset-592	238	10	normalized	normalize	VERB
ajset-592	238	11	by	by	ADP
ajset-592	238	12	the	the	DET
ajset-592	238	13	min	min	PROPN
ajset-592	238	14	-	-	ADJ
ajset-592	238	15	max	max	PROPN
ajset-592	238	16	method	method	NOUN
ajset-592	238	17	as	as	SCONJ
ajset-592	238	18	follows	follow	VERB
ajset-592	238	19	(	(	PUNCT
ajset-592	238	20	17	17	NUM
ajset-592	238	21	)	)	PUNCT
ajset-592	238	22	where	where	SCONJ
ajset-592	238	23	is	be	AUX
ajset-592	238	24	the	the	DET
ajset-592	238	25	raw	raw	ADJ
ajset-592	238	26	moment	moment	NOUN
ajset-592	238	27	data	datum	NOUN
ajset-592	238	28	,	,	PUNCT
ajset-592	238	29	stands	stand	VERB
ajset-592	238	30	for	for	ADP
ajset-592	238	31	the	the	DET
ajset-592	238	32	normalized	normalized	ADJ
ajset-592	238	33	moment	moment	NOUN
ajset-592	238	34	,	,	PUNCT
ajset-592	238	35	and	and	CCONJ
ajset-592	238	36	stand	stand	VERB
ajset-592	238	37	for	for	ADP
ajset-592	238	38	the	the	DET
ajset-592	238	39	minimum	minimum	NOUN
ajset-592	238	40	and	and	CCONJ
ajset-592	238	41	maximum	maximum	NOUN
ajset-592	238	42	of	of	ADP
ajset-592	238	43	the	the	DET
ajset-592	238	44	raw	raw	ADJ
ajset-592	238	45	data	datum	NOUN
ajset-592	238	46	.	.	PUNCT
ajset-592	239	1	the	the	DET
ajset-592	239	2	moments	moment	NOUN
ajset-592	239	3	in	in	ADP
ajset-592	239	4	the	the	DET
ajset-592	239	5	faulted	fault	VERB
ajset-592	239	6	case	case	NOUN
ajset-592	239	7	are	be	AUX
ajset-592	239	8	normalized	normalize	VERB
ajset-592	239	9	as	as	ADP
ajset-592	239	10	per	per	ADP
ajset-592	239	11	the	the	DET
ajset-592	239	12	minimum	minimum	NOUN
ajset-592	239	13	and	and	CCONJ
ajset-592	239	14	maximum	maximum	NOUN
ajset-592	239	15	of	of	ADP
ajset-592	239	16	the	the	DET
ajset-592	239	17	normal	normal	ADJ
ajset-592	239	18	case	case	NOUN
ajset-592	239	19	.	.	PUNCT
ajset-592	240	1	6.3	6.3	NUM
ajset-592	240	2	.	.	PUNCT
ajset-592	240	3	neural	neural	ADJ
ajset-592	240	4	network	network	NOUN
ajset-592	240	5	details	detail	NOUN
ajset-592	240	6	the	the	DET
ajset-592	240	7	koopman	koopman	NOUN
ajset-592	240	8	operator	operator	NOUN
ajset-592	240	9	is	be	AUX
ajset-592	240	10	implemented	implement	VERB
ajset-592	240	11	as	as	ADP
ajset-592	240	12	a	a	DET
ajset-592	240	13	linear	linear	ADJ
ajset-592	240	14	network	network	NOUN
ajset-592	240	15	.	.	PUNCT
ajset-592	241	1	all	all	DET
ajset-592	241	2	the	the	DET
ajset-592	241	3	technical	technical	ADJ
ajset-592	241	4	details	detail	NOUN
ajset-592	241	5	of	of	ADP
ajset-592	241	6	dknn	dknn	NOUN
ajset-592	241	7	including	include	VERB
ajset-592	241	8	network	network	NOUN
ajset-592	241	9	structure	structure	NOUN
ajset-592	241	10	and	and	CCONJ
ajset-592	241	11	hyperparameters	hyperparameter	NOUN
ajset-592	241	12	are	be	AUX
ajset-592	241	13	summarized	summarize	VERB
ajset-592	241	14	in	in	ADP
ajset-592	241	15	table	table	NOUN
ajset-592	241	16	3	3	NUM
ajset-592	241	17	.	.	PUNCT
ajset-592	242	1	all	all	DET
ajset-592	242	2	the	the	DET
ajset-592	242	3	weights	weight	NOUN
ajset-592	242	4	of	of	ADP
ajset-592	242	5	neural	neural	ADJ
ajset-592	242	6	network	network	NOUN
ajset-592	242	7	are	be	AUX
ajset-592	242	8	initialized	initialize	VERB
ajset-592	242	9	as	as	ADP
ajset-592	242	10	per	per	ADP
ajset-592	242	11	a	a	DET
ajset-592	242	12	truncated	truncate	VERB
ajset-592	242	13	normal	normal	ADJ
ajset-592	242	14	distribution	distribution	NOUN
ajset-592	242	15	,	,	PUNCT
ajset-592	242	16	while	while	SCONJ
ajset-592	242	17	the	the	DET
ajset-592	242	18	biases	bias	NOUN
ajset-592	242	19	are	be	AUX
ajset-592	242	20	set	set	VERB
ajset-592	242	21	to	to	ADP
ajset-592	242	22	0	0	NUM
ajset-592	242	23	.	.	PUNCT
ajset-592	243	1	the	the	DET
ajset-592	243	2	training	training	NOUN
ajset-592	243	3	optimizer	optimizer	NOUN
ajset-592	243	4	is	be	AUX
ajset-592	243	5	adam	adam	PROPN
ajset-592	243	6	with	with	ADP
ajset-592	243	7	a	a	DET
ajset-592	243	8	learning	learn	VERB
ajset-592	243	9	rate	rate	NOUN
ajset-592	243	10	equal	equal	ADJ
ajset-592	243	11	to	to	ADP
ajset-592	243	12	0.001	0.001	NUM
ajset-592	243	13	.	.	PUNCT
ajset-592	244	1	references	reference	NOUN
ajset-592	244	2	wang	wang	PROPN
ajset-592	244	3	,	,	PUNCT
ajset-592	244	4	g.	g.	PROPN
ajset-592	244	5	,	,	PUNCT
ajset-592	244	6	haringa	haringa	PROPN
ajset-592	244	7	,	,	PUNCT
ajset-592	244	8	c.	c.	PROPN
ajset-592	244	9	,	,	PUNCT
ajset-592	244	10	noorman	noorman	PROPN
ajset-592	244	11	,	,	PUNCT
ajset-592	244	12	h.	h.	PROPN
ajset-592	244	13	,	,	PUNCT
ajset-592	244	14	chu	chu	PROPN
ajset-592	244	15	,	,	PUNCT
ajset-592	244	16	j.	j.	PROPN
ajset-592	244	17	,	,	PUNCT
ajset-592	244	18	and	and	CCONJ
ajset-592	244	19	zhuang	zhuang	PROPN
ajset-592	244	20	,	,	PUNCT
ajset-592	244	21	y.	y.	PROPN
ajset-592	244	22	(	(	PUNCT
ajset-592	244	23	2020	2020	NUM
ajset-592	244	24	)	)	PUNCT
ajset-592	244	25	.	.	PUNCT
ajset-592	245	1	developing	develop	VERB
ajset-592	245	2	a	a	DET
ajset-592	245	3	computational	computational	ADJ
ajset-592	245	4	framework	framework	NOUN
ajset-592	245	5	to	to	PART
ajset-592	245	6	advance	advance	VERB
ajset-592	245	7	bioprocess	bioprocess	NOUN
ajset-592	245	8	scale	scale	NOUN
ajset-592	245	9	-	-	PUNCT
ajset-592	245	10	up	up	NOUN
ajset-592	245	11	.	.	PUNCT
ajset-592	246	1	trends	trend	NOUN
ajset-592	246	2	in	in	ADP
ajset-592	246	3	biotechnology	biotechnology	NOUN
ajset-592	246	4	,	,	PUNCT
ajset-592	246	5	38(8	38(8	NUM
ajset-592	246	6	)	)	PUNCT
ajset-592	246	7	,	,	PUNCT
ajset-592	246	8	846	846	NUM
ajset-592	246	9	-	-	SYM
ajset-592	246	10	856	856	NUM
ajset-592	246	11	.	.	PUNCT
ajset-592	246	12	,	,	PUNCT
ajset-592	246	13	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	246	14	academic	academic	ADJ
ajset-592	246	15	journal	journal	NOUN
ajset-592	246	16	of	of	ADP
ajset-592	246	17	science	science	NOUN
ajset-592	246	18	,	,	PUNCT
ajset-592	246	19	engineering	engineering	NOUN
ajset-592	246	20	and	and	CCONJ
ajset-592	246	21	technology	technology	NOUN
ajset-592	246	22	vol.7	vol.7	PROPN
ajset-592	246	23	,	,	PUNCT
ajset-592	246	24	issue	issue	NOUN
ajset-592	246	25	1	1	NUM
ajset-592	246	26	;	;	PUNCT
ajset-592	246	27	january	january	PROPN
ajset-592	246	28	febuary	febuary	PROPN
ajset-592	246	29	2022	2022	NUM
ajset-592	246	30	;	;	PUNCT
ajset-592	246	31	1252	1252	NUM
ajset-592	246	32	columbia	columbia	PROPN
ajset-592	246	33	rd	rd	PROPN
ajset-592	246	34	nw	nw	PROPN
ajset-592	246	35	,	,	PUNCT
ajset-592	246	36	washington	washington	PROPN
ajset-592	246	37	dc	dc	PROPN
ajset-592	246	38	,	,	PUNCT
ajset-592	246	39	united	united	PROPN
ajset-592	246	40	states	states	PROPN
ajset-592	246	41	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	246	42	;	;	PUNCT
ajset-592	246	43	mail	mail	NOUN
ajset-592	246	44	:	:	PUNCT
ajset-592	247	1	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	247	2	26	26	NUM
ajset-592	248	1	|	|	ADV
ajset-592	248	2	a	a	DET
ajset-592	248	3	c	c	NOUN
ajset-592	248	4	a	a	PRON
ajset-592	248	5	d	d	X
ajset-592	248	6	e	e	NOUN
ajset-592	248	7	m	m	NOUN
ajset-592	248	8	i	i	NOUN
ajset-592	248	9	c	c	NOUN
ajset-592	248	10	j	j	NOUN
ajset-592	248	11	o	o	X
ajset-592	248	12	u	u	NOUN
ajset-592	248	13	r	r	NOUN
ajset-592	248	14	n	n	NOUN
ajset-592	248	15	a	a	DET
ajset-592	248	16	l	l	NOUN
ajset-592	249	1	o	o	X
ajset-592	249	2	f	f	X
ajset-592	249	3	s	s	X
ajset-592	249	4	c	c	NOUN
ajset-592	250	1	i	i	NOUN
ajset-592	250	2	e	e	PROPN
ajset-592	250	3	n	n	PROPN
ajset-592	250	4	c	c	NOUN
ajset-592	250	5	e	e	X
ajset-592	250	6	,	,	PUNCT
ajset-592	250	7	e	e	PROPN
ajset-592	250	8	n	n	PRON
ajset-592	250	9	g	g	NOUN
ajset-592	250	10	i	i	PRON
ajset-592	250	11	n	n	VERB
ajset-592	250	12	e	e	NOUN
ajset-592	250	13	e	e	NOUN
ajset-592	250	14	r	r	VERB
ajset-592	250	15	i	i	PRON
ajset-592	250	16	n	n	CCONJ
ajset-592	250	17	g	g	PROPN
ajset-592	250	18	a	a	DET
ajset-592	250	19	n	n	NOUN
ajset-592	250	20	d	d	NOUN
ajset-592	250	21	t	t	NOUN
ajset-592	250	22	e	e	X
ajset-592	250	23	c	c	NOUN
ajset-592	250	24	h	h	NOUN
ajset-592	250	25	n	n	ADV
ajset-592	250	26	o	o	NOUN
ajset-592	250	27	l	l	NOUN
ajset-592	251	1	o	o	X
ajset-592	251	2	g	g	NOUN
ajset-592	251	3	y	y	PROPN
ajset-592	251	4	|	|	ADV
ajset-592	251	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	251	6	lu	lu	PROPN
ajset-592	251	7	,	,	PUNCT
ajset-592	251	8	j.	j.	PROPN
ajset-592	251	9	,	,	PUNCT
ajset-592	251	10	cao	cao	PROPN
ajset-592	251	11	,	,	PUNCT
ajset-592	251	12	z.	z.	PROPN
ajset-592	251	13	,	,	PUNCT
ajset-592	251	14	zhao	zhao	PROPN
ajset-592	251	15	,	,	PUNCT
ajset-592	251	16	c.	c.	PROPN
ajset-592	251	17	,	,	PUNCT
ajset-592	251	18	and	and	CCONJ
ajset-592	251	19	gao	gao	PROPN
ajset-592	251	20	,	,	PUNCT
ajset-592	251	21	f.	f.	PROPN
ajset-592	251	22	(	(	PUNCT
ajset-592	251	23	2019	2019	NUM
ajset-592	251	24	)	)	PUNCT
ajset-592	251	25	.	.	PUNCT
ajset-592	252	1	110th	110th	ADJ
ajset-592	252	2	anniversary	anniversary	NOUN
ajset-592	252	3	:	:	PUNCT
ajset-592	252	4	an	an	DET
ajset-592	252	5	overview	overview	NOUN
ajset-592	252	6	on	on	ADP
ajset-592	252	7	learning	learn	VERB
ajset-592	252	8	-	-	PUNCT
ajset-592	252	9	based	base	VERB
ajset-592	252	10	model	model	NOUN
ajset-592	252	11	predictive	predictive	ADJ
ajset-592	252	12	control	control	NOUN
ajset-592	252	13	for	for	ADP
ajset-592	252	14	batch	batch	NOUN
ajset-592	252	15	processes	process	NOUN
ajset-592	252	16	.	.	PUNCT
ajset-592	253	1	industrial	industrial	PROPN
ajset-592	253	2	&	&	CCONJ
ajset-592	253	3	engineering	engineer	VERB
ajset-592	253	4	chemistry	chemistry	NOUN
ajset-592	253	5	research	research	NOUN
ajset-592	253	6	,	,	PUNCT
ajset-592	253	7	58(37	58(37	NUM
ajset-592	253	8	)	)	PUNCT
ajset-592	253	9	,	,	PUNCT
ajset-592	253	10	1716417173	1716417173	NUM
ajset-592	253	11	.	.	PUNCT
ajset-592	254	1	jiang	jiang	PROPN
ajset-592	254	2	,	,	PUNCT
ajset-592	254	3	q.	q.	PROPN
ajset-592	254	4	,	,	PUNCT
ajset-592	254	5	wang	wang	PROPN
ajset-592	254	6	,	,	PUNCT
ajset-592	254	7	z.	z.	PROPN
ajset-592	254	8	,	,	PUNCT
ajset-592	254	9	yan	yan	PROPN
ajset-592	254	10	,	,	PUNCT
ajset-592	254	11	s.	s.	PROPN
ajset-592	254	12	,	,	PUNCT
ajset-592	254	13	and	and	CCONJ
ajset-592	254	14	cao	cao	PROPN
ajset-592	254	15	,	,	PUNCT
ajset-592	254	16	z.	z.	PROPN
ajset-592	254	17	(	(	PUNCT
ajset-592	254	18	2022	2022	NUM
ajset-592	254	19	)	)	PUNCT
ajset-592	254	20	.	.	PUNCT
ajset-592	255	1	data	data	NOUN
ajset-592	255	2	-	-	PUNCT
ajset-592	255	3	driven	drive	VERB
ajset-592	255	4	soft	soft	ADJ
ajset-592	255	5	sensing	sensing	NOUN
ajset-592	255	6	for	for	ADP
ajset-592	255	7	batch	batch	NOUN
ajset-592	255	8	processes	process	NOUN
ajset-592	255	9	using	use	VERB
ajset-592	255	10	neural	neural	ADJ
ajset-592	255	11	network	network	NOUN
ajset-592	255	12	-	-	PUNCT
ajset-592	255	13	based	base	VERB
ajset-592	255	14	deep	deep	ADJ
ajset-592	255	15	quality	quality	NOUN
ajset-592	255	16	-	-	PUNCT
ajset-592	255	17	relevant	relevant	ADJ
ajset-592	255	18	representation	representation	NOUN
ajset-592	255	19	learning	learning	NOUN
ajset-592	255	20	.	.	PUNCT
ajset-592	256	1	ieee	ieee	NOUN
ajset-592	256	2	transactions	transaction	NOUN
ajset-592	256	3	on	on	ADP
ajset-592	256	4	artificial	artificial	ADJ
ajset-592	256	5	intelligence	intelligence	NOUN
ajset-592	256	6	.	.	PUNCT
ajset-592	257	1	cao	cao	PROPN
ajset-592	257	2	,	,	PUNCT
ajset-592	257	3	z.	z.	PROPN
ajset-592	257	4	,	,	PUNCT
ajset-592	257	5	yu	yu	PROPN
ajset-592	257	6	,	,	PUNCT
ajset-592	257	7	j.	j.	PROPN
ajset-592	257	8	,	,	PUNCT
ajset-592	257	9	wang	wang	PROPN
ajset-592	257	10	,	,	PUNCT
ajset-592	257	11	w.	w.	PROPN
ajset-592	257	12	,	,	PUNCT
ajset-592	257	13	lu	lu	PROPN
ajset-592	257	14	,	,	PUNCT
ajset-592	257	15	h.	h.	PROPN
ajset-592	257	16	,	,	PUNCT
ajset-592	257	17	xia	xia	PROPN
ajset-592	257	18	,	,	PUNCT
ajset-592	257	19	x.	x.	PROPN
ajset-592	257	20	,	,	PUNCT
ajset-592	257	21	xu	xu	PROPN
ajset-592	257	22	,	,	PUNCT
ajset-592	257	23	h.	h.	PROPN
ajset-592	257	24	,	,	PUNCT
ajset-592	257	25	and	and	CCONJ
ajset-592	257	26	zhang	zhang	PROPN
ajset-592	257	27	,	,	PUNCT
ajset-592	257	28	l.	l.	PROPN
ajset-592	257	29	(	(	PUNCT
ajset-592	257	30	2020	2020	NUM
ajset-592	257	31	)	)	PUNCT
ajset-592	257	32	.	.	PUNCT
ajset-592	258	1	multi	multi	ADJ
ajset-592	258	2	-	-	ADJ
ajset-592	258	3	scale	scale	ADJ
ajset-592	258	4	data	data	NOUN
ajset-592	258	5	-	-	PUNCT
ajset-592	258	6	driven	drive	VERB
ajset-592	258	7	engineering	engineering	NOUN
ajset-592	258	8	for	for	ADP
ajset-592	258	9	biosynthetic	biosynthetic	ADJ
ajset-592	258	10	titer	titer	NOUN
ajset-592	258	11	improvement	improvement	NOUN
ajset-592	258	12	.	.	PUNCT
ajset-592	259	1	current	current	ADJ
ajset-592	259	2	opinion	opinion	NOUN
ajset-592	259	3	in	in	ADP
ajset-592	259	4	biotechnology	biotechnology	NOUN
ajset-592	259	5	,	,	PUNCT
ajset-592	259	6	65	65	NUM
ajset-592	259	7	,	,	PUNCT
ajset-592	259	8	205	205	NUM
ajset-592	259	9	-	-	SYM
ajset-592	259	10	212	212	NUM
ajset-592	259	11	.	.	PUNCT
ajset-592	260	1	[	[	X
ajset-592	260	2	5	5	NUM
ajset-592	260	3	]	]	X
ajset-592	260	4	gao	gao	PROPN
ajset-592	260	5	,	,	PUNCT
ajset-592	260	6	j.	j.	PROPN
ajset-592	260	7	,	,	PUNCT
ajset-592	260	8	feng	feng	PROPN
ajset-592	260	9	,	,	PUNCT
ajset-592	260	10	e.	e.	PROPN
ajset-592	260	11	,	,	PUNCT
ajset-592	260	12	and	and	CCONJ
ajset-592	260	13	zhang	zhang	PROPN
ajset-592	260	14	,	,	PUNCT
ajset-592	260	15	w.	w.	PROPN
ajset-592	260	16	(	(	PUNCT
ajset-592	260	17	2022	2022	NUM
ajset-592	260	18	)	)	PUNCT
ajset-592	260	19	.	.	PUNCT
ajset-592	261	1	modeling	modeling	NOUN
ajset-592	261	2	and	and	CCONJ
ajset-592	261	3	parameter	parameter	NOUN
ajset-592	261	4	identification	identification	NOUN
ajset-592	261	5	of	of	ADP
ajset-592	261	6	microbial	microbial	ADJ
ajset-592	261	7	batch	batch	NOUN
ajset-592	261	8	fermentation	fermentation	NOUN
ajset-592	261	9	under	under	ADP
ajset-592	261	10	environmental	environmental	ADJ
ajset-592	261	11	disturbances	disturbance	NOUN
ajset-592	261	12	.	.	PUNCT
ajset-592	262	1	applied	apply	VERB
ajset-592	262	2	mathematical	mathematical	ADJ
ajset-592	262	3	modelling	modelling	NOUN
ajset-592	262	4	,	,	PUNCT
ajset-592	262	5	108	108	NUM
ajset-592	262	6	,	,	PUNCT
ajset-592	262	7	205	205	NUM
ajset-592	262	8	-	-	SYM
ajset-592	262	9	219	219	NUM
ajset-592	262	10	.	.	PUNCT
ajset-592	263	1	soukoulis	soukoulis	PROPN
ajset-592	263	2	,	,	PUNCT
ajset-592	263	3	c.	c.	NOUN
ajset-592	263	4	,	,	PUNCT
ajset-592	263	5	panagiotidis	panagiotidi	NOUN
ajset-592	263	6	,	,	PUNCT
ajset-592	263	7	p.	p.	PROPN
ajset-592	263	8	,	,	PUNCT
ajset-592	263	9	koureli	koureli	PROPN
ajset-592	263	10	,	,	PUNCT
ajset-592	263	11	r.	r.	PROPN
ajset-592	263	12	,	,	PUNCT
ajset-592	263	13	and	and	CCONJ
ajset-592	263	14	tzia	tzia	PROPN
ajset-592	263	15	,	,	PUNCT
ajset-592	263	16	c.	c.	PROPN
ajset-592	263	17	(	(	PUNCT
ajset-592	263	18	2007	2007	NUM
ajset-592	263	19	)	)	PUNCT
ajset-592	263	20	.	.	PUNCT
ajset-592	264	1	industrial	industrial	PROPN
ajset-592	264	2	yogurt	yogurt	PROPN
ajset-592	264	3	manufacture	manufacture	NOUN
ajset-592	264	4	:	:	PUNCT
ajset-592	264	5	monitoring	monitoring	NOUN
ajset-592	264	6	of	of	ADP
ajset-592	264	7	fermentation	fermentation	NOUN
ajset-592	264	8	process	process	NOUN
ajset-592	264	9	and	and	CCONJ
ajset-592	264	10	improvement	improvement	NOUN
ajset-592	264	11	of	of	ADP
ajset-592	264	12	final	final	ADJ
ajset-592	264	13	product	product	NOUN
ajset-592	264	14	quality	quality	NOUN
ajset-592	264	15	.	.	PUNCT
ajset-592	265	1	journal	journal	NOUN
ajset-592	265	2	of	of	ADP
ajset-592	265	3	dairy	dairy	NOUN
ajset-592	265	4	science	science	NOUN
ajset-592	265	5	,	,	PUNCT
ajset-592	265	6	90(6	90(6	NOUN
ajset-592	265	7	)	)	PUNCT
ajset-592	265	8	,	,	PUNCT
ajset-592	265	9	26412654	26412654	NUM
ajset-592	265	10	.	.	PUNCT
ajset-592	266	1	sriramula	sriramula	NOUN
ajset-592	266	2	,	,	PUNCT
ajset-592	266	3	s.	s.	PROPN
ajset-592	266	4	,	,	PUNCT
ajset-592	266	5	and	and	CCONJ
ajset-592	266	6	chryssanthopoulos	chryssanthopoulo	NOUN
ajset-592	266	7	,	,	PUNCT
ajset-592	266	8	m.	m.	PROPN
ajset-592	266	9	k.	k.	PROPN
ajset-592	266	10	(	(	PUNCT
ajset-592	266	11	2009	2009	NUM
ajset-592	266	12	)	)	PUNCT
ajset-592	266	13	.	.	PUNCT
ajset-592	267	1	quantification	quantification	NOUN
ajset-592	267	2	of	of	ADP
ajset-592	267	3	uncertainty	uncertainty	NOUN
ajset-592	267	4	modelling	model	VERB
ajset-592	267	5	in	in	ADP
ajset-592	267	6	stochastic	stochastic	ADJ
ajset-592	267	7	analysis	analysis	NOUN
ajset-592	267	8	of	of	ADP
ajset-592	267	9	frp	frp	PROPN
ajset-592	267	10	composites	composite	NOUN
ajset-592	267	11	.	.	PUNCT
ajset-592	268	1	composites	composite	NOUN
ajset-592	268	2	part	part	VERB
ajset-592	268	3	a	a	DET
ajset-592	268	4	:	:	PUNCT
ajset-592	268	5	applied	apply	VERB
ajset-592	268	6	science	science	NOUN
ajset-592	268	7	and	and	CCONJ
ajset-592	268	8	manufacturing	manufacturing	NOUN
ajset-592	268	9	,	,	PUNCT
ajset-592	268	10	40(11	40(11	PROPN
ajset-592	268	11	)	)	PUNCT
ajset-592	268	12	,	,	PUNCT
ajset-592	268	13	16731684	16731684	NUM
ajset-592	268	14	.	.	PUNCT
ajset-592	269	1	lu	lu	PROPN
ajset-592	269	2	,	,	PUNCT
ajset-592	269	3	h.	h.	PROPN
ajset-592	269	4	,	,	PUNCT
ajset-592	269	5	plataniotis	plataniotis	PROPN
ajset-592	269	6	,	,	PUNCT
ajset-592	269	7	k.	k.	PROPN
ajset-592	269	8	n.	n.	PROPN
ajset-592	269	9	,	,	PUNCT
ajset-592	269	10	and	and	CCONJ
ajset-592	269	11	venetsanopoulos	venetsanopoulo	NOUN
ajset-592	269	12	,	,	PUNCT
ajset-592	269	13	a.	a.	NOUN
ajset-592	269	14	n.	n.	PROPN
ajset-592	269	15	(	(	PUNCT
ajset-592	269	16	2008	2008	NUM
ajset-592	269	17	)	)	PUNCT
ajset-592	269	18	.	.	PUNCT
ajset-592	270	1	mpca	mpca	PROPN
ajset-592	270	2	:	:	PUNCT
ajset-592	271	1	multilinear	multilinear	VERB
ajset-592	271	2	principal	principal	ADJ
ajset-592	271	3	component	component	NOUN
ajset-592	271	4	analysis	analysis	NOUN
ajset-592	271	5	of	of	ADP
ajset-592	271	6	tensor	tensor	NOUN
ajset-592	271	7	objects	object	NOUN
ajset-592	271	8	.	.	PUNCT
ajset-592	272	1	ieee	ieee	NOUN
ajset-592	272	2	transactions	transaction	NOUN
ajset-592	272	3	on	on	ADP
ajset-592	272	4	neural	neural	ADJ
ajset-592	272	5	networks	network	NOUN
ajset-592	272	6	,	,	PUNCT
ajset-592	272	7	19(1	19(1	NUM
ajset-592	272	8	)	)	PUNCT
ajset-592	272	9	,	,	PUNCT
ajset-592	272	10	18	18	NUM
ajset-592	272	11	-	-	SYM
ajset-592	272	12	39	39	NUM
ajset-592	272	13	.	.	PUNCT
ajset-592	273	1	[	[	X
ajset-592	273	2	9	9	NUM
ajset-592	273	3	]	]	SYM
ajset-592	273	4	lee	lee	PROPN
ajset-592	273	5	,	,	PUNCT
ajset-592	273	6	j.	j.	PROPN
ajset-592	273	7	m.	m.	PROPN
ajset-592	273	8	,	,	PUNCT
ajset-592	273	9	yoo	yoo	PROPN
ajset-592	273	10	,	,	PUNCT
ajset-592	273	11	c.	c.	PROPN
ajset-592	273	12	,	,	PUNCT
ajset-592	273	13	and	and	CCONJ
ajset-592	273	14	lee	lee	PROPN
ajset-592	273	15	,	,	PUNCT
ajset-592	273	16	i.	i.	PROPN
ajset-592	273	17	b.	b.	PROPN
ajset-592	273	18	(	(	PUNCT
ajset-592	273	19	2004	2004	NUM
ajset-592	273	20	)	)	PUNCT
ajset-592	273	21	.	.	PUNCT
ajset-592	274	1	fault	fault	VERB
ajset-592	274	2	detection	detection	NOUN
ajset-592	274	3	of	of	ADP
ajset-592	274	4	batch	batch	NOUN
ajset-592	274	5	processes	process	NOUN
ajset-592	274	6	using	use	VERB
ajset-592	274	7	multiway	multiway	PROPN
ajset-592	274	8	kernel	kernel	PROPN
ajset-592	274	9	principal	principal	PROPN
ajset-592	274	10	component	component	NOUN
ajset-592	274	11	analysis	analysis	NOUN
ajset-592	274	12	.	.	PUNCT
ajset-592	275	1	computers	computer	NOUN
ajset-592	275	2	&	&	CCONJ
ajset-592	275	3	chemical	chemical	PROPN
ajset-592	275	4	engineering	engineering	PROPN
ajset-592	275	5	,	,	PUNCT
ajset-592	275	6	28(9	28(9	NOUN
ajset-592	275	7	)	)	PUNCT
ajset-592	275	8	,	,	PUNCT
ajset-592	275	9	1837	1837	NUM
ajset-592	275	10	-	-	SYM
ajset-592	275	11	1847	1847	NUM
ajset-592	275	12	.	.	PUNCT
ajset-592	276	1	jia	jia	PROPN
ajset-592	276	2	,	,	PUNCT
ajset-592	276	3	z.	z.	PROPN
ajset-592	276	4	y.	y.	PROPN
ajset-592	276	5	,	,	PUNCT
ajset-592	276	6	wang	wang	PROPN
ajset-592	276	7	,	,	PUNCT
ajset-592	276	8	p.	p.	PROPN
ajset-592	276	9	,	,	PUNCT
ajset-592	276	10	and	and	CCONJ
ajset-592	276	11	gao	gao	PROPN
ajset-592	276	12	,	,	PUNCT
ajset-592	276	13	x.	x.	PROPN
ajset-592	276	14	j.	j.	PROPN
ajset-592	276	15	(	(	PUNCT
ajset-592	276	16	2012	2012	NUM
ajset-592	276	17	)	)	PUNCT
ajset-592	276	18	.	.	PUNCT
ajset-592	277	1	process	process	NOUN
ajset-592	277	2	monitoring	monitoring	NOUN
ajset-592	277	3	and	and	CCONJ
ajset-592	277	4	fault	fault	VERB
ajset-592	277	5	diagnosis	diagnosis	NOUN
ajset-592	277	6	of	of	ADP
ajset-592	277	7	penicillin	penicillin	NOUN
ajset-592	277	8	fermentation	fermentation	NOUN
ajset-592	277	9	based	base	VERB
ajset-592	277	10	on	on	ADP
ajset-592	277	11	improved	improved	ADJ
ajset-592	277	12	mica	mica	NOUN
ajset-592	277	13	.	.	PUNCT
ajset-592	278	1	advanced	advanced	ADJ
ajset-592	278	2	materials	material	NOUN
ajset-592	278	3	research	research	NOUN
ajset-592	278	4	,	,	PUNCT
ajset-592	278	5	591	591	NUM
ajset-592	278	6	,	,	PUNCT
ajset-592	278	7	1783	1783	NUM
ajset-592	278	8	-	-	SYM
ajset-592	278	9	1788	1788	NUM
ajset-592	278	10	.	.	PUNCT
ajset-592	279	1	zhao	zhao	PROPN
ajset-592	279	2	,	,	PUNCT
ajset-592	279	3	c.	c.	PROPN
ajset-592	279	4	,	,	PUNCT
ajset-592	279	5	gao	gao	PROPN
ajset-592	279	6	,	,	PUNCT
ajset-592	279	7	f.	f.	PROPN
ajset-592	279	8	,	,	PUNCT
ajset-592	279	9	and	and	CCONJ
ajset-592	279	10	wang	wang	PROPN
ajset-592	279	11	,	,	PUNCT
ajset-592	279	12	f.	f.	PROPN
ajset-592	279	13	(	(	PUNCT
ajset-592	279	14	2009	2009	NUM
ajset-592	279	15	)	)	PUNCT
ajset-592	279	16	.	.	PUNCT
ajset-592	280	1	nonlinear	nonlinear	ADJ
ajset-592	280	2	batch	batch	NOUN
ajset-592	280	3	process	process	NOUN
ajset-592	280	4	monitoring	monitoring	NOUN
ajset-592	280	5	using	use	VERB
ajset-592	280	6	phase	phase	NOUN
ajset-592	280	7	-	-	PUNCT
ajset-592	280	8	based	base	VERB
ajset-592	280	9	kernelindependent	kernelindependent	PROPN
ajset-592	280	10	component	component	PROPN
ajset-592	280	11	analysis−principal	analysis−principal	NOUN
ajset-592	280	12	component	component	NOUN
ajset-592	280	13	analysis	analysis	NOUN
ajset-592	280	14	(	(	PUNCT
ajset-592	280	15	kica−pca	kica−pca	PROPN
ajset-592	280	16	)	)	PUNCT
ajset-592	280	17	.	.	PUNCT
ajset-592	281	1	industrial	industrial	PROPN
ajset-592	281	2	&	&	CCONJ
ajset-592	281	3	engineering	engineer	VERB
ajset-592	281	4	chemistry	chemistry	NOUN
ajset-592	281	5	research	research	NOUN
ajset-592	281	6	,	,	PUNCT
ajset-592	281	7	48(20	48(20	NUM
ajset-592	281	8	)	)	PUNCT
ajset-592	281	9	,	,	PUNCT
ajset-592	281	10	9163	9163	NUM
ajset-592	281	11	-	-	SYM
ajset-592	281	12	9174	9174	NUM
ajset-592	281	13	.	.	PUNCT
ajset-592	282	1	peng	peng	PROPN
ajset-592	282	2	,	,	PUNCT
ajset-592	282	3	c.	c.	PROPN
ajset-592	282	4	,	,	PUNCT
ajset-592	282	5	chunhao	chunhao	PROPN
ajset-592	282	6	,	,	PUNCT
ajset-592	282	7	d.	d.	PROPN
ajset-592	282	8	,	,	PUNCT
ajset-592	282	9	and	and	CCONJ
ajset-592	282	10	qiankun	qiankun	PROPN
ajset-592	282	11	,	,	PUNCT
ajset-592	282	12	z.	z.	PROPN
ajset-592	282	13	(	(	PUNCT
ajset-592	282	14	2020	2020	NUM
ajset-592	282	15	)	)	PUNCT
ajset-592	282	16	.	.	PUNCT
ajset-592	283	1	fault	fault	VERB
ajset-592	283	2	diagnosis	diagnosis	NOUN
ajset-592	283	3	of	of	ADP
ajset-592	283	4	microbial	microbial	ADJ
ajset-592	283	5	pharmaceutical	pharmaceutical	NOUN
ajset-592	283	6	fermentation	fermentation	NOUN
ajset-592	283	7	process	process	NOUN
ajset-592	283	8	with	with	ADP
ajset-592	283	9	non	non	ADJ
ajset-592	283	10	-	-	ADJ
ajset-592	283	11	gaussian	gaussian	ADJ
ajset-592	283	12	and	and	CCONJ
ajset-592	283	13	nonlinear	nonlinear	ADJ
ajset-592	283	14	coexistence	coexistence	NOUN
ajset-592	283	15	.	.	PUNCT
ajset-592	284	1	chemometrics	chemometric	NOUN
ajset-592	284	2	and	and	CCONJ
ajset-592	284	3	intelligent	intelligent	ADJ
ajset-592	284	4	laboratory	laboratory	NOUN
ajset-592	284	5	systems	system	NOUN
ajset-592	284	6	,	,	PUNCT
ajset-592	284	7	199	199	NUM
ajset-592	284	8	,	,	PUNCT
ajset-592	284	9	103931	103931	NUM
ajset-592	284	10	.	.	PUNCT
ajset-592	285	1	yang	yang	PROPN
ajset-592	285	2	,	,	PUNCT
ajset-592	285	3	c.	c.	PROPN
ajset-592	285	4	,	,	PUNCT
ajset-592	285	5	and	and	CCONJ
ajset-592	285	6	hou	hou	NOUN
ajset-592	285	7	,	,	PUNCT
ajset-592	285	8	j.	j.	PROPN
ajset-592	285	9	(	(	PUNCT
ajset-592	285	10	2016	2016	NUM
ajset-592	285	11	)	)	PUNCT
ajset-592	285	12	.	.	PUNCT
ajset-592	286	1	fed	feed	VERB
ajset-592	286	2	-	-	PUNCT
ajset-592	286	3	batch	batch	NOUN
ajset-592	286	4	fermentation	fermentation	NOUN
ajset-592	286	5	penicillin	penicillin	NOUN
ajset-592	286	6	process	process	NOUN
ajset-592	286	7	fault	fault	VERB
ajset-592	286	8	diagnosis	diagnosis	NOUN
ajset-592	286	9	and	and	CCONJ
ajset-592	286	10	detection	detection	NOUN
ajset-592	286	11	based	base	VERB
ajset-592	286	12	on	on	ADP
ajset-592	286	13	support	support	NOUN
ajset-592	286	14	vector	vector	NOUN
ajset-592	286	15	machine	machine	NOUN
ajset-592	286	16	.	.	PUNCT
ajset-592	287	1	neurocomputing	neurocomputing	NOUN
ajset-592	287	2	,	,	PUNCT
ajset-592	287	3	190	190	NUM
ajset-592	287	4	,	,	PUNCT
ajset-592	287	5	117	117	NUM
ajset-592	287	6	-	-	SYM
ajset-592	287	7	123	123	NUM
ajset-592	287	8	.	.	PUNCT
ajset-592	288	1	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	288	2	academic	academic	ADJ
ajset-592	288	3	journal	journal	NOUN
ajset-592	288	4	of	of	ADP
ajset-592	288	5	science	science	NOUN
ajset-592	288	6	,	,	PUNCT
ajset-592	288	7	engineering	engineering	NOUN
ajset-592	288	8	and	and	CCONJ
ajset-592	288	9	technology	technology	NOUN
ajset-592	288	10	vol.7	vol.7	PROPN
ajset-592	288	11	,	,	PUNCT
ajset-592	288	12	issue	issue	NOUN
ajset-592	288	13	1	1	NUM
ajset-592	288	14	;	;	PUNCT
ajset-592	288	15	january	january	PROPN
ajset-592	288	16	febuary	febuary	PROPN
ajset-592	288	17	2022	2022	NUM
ajset-592	288	18	;	;	PUNCT
ajset-592	288	19	1252	1252	NUM
ajset-592	288	20	columbia	columbia	PROPN
ajset-592	288	21	rd	rd	PROPN
ajset-592	288	22	nw	nw	PROPN
ajset-592	288	23	,	,	PUNCT
ajset-592	288	24	washington	washington	PROPN
ajset-592	288	25	dc	dc	PROPN
ajset-592	288	26	,	,	PUNCT
ajset-592	288	27	united	united	PROPN
ajset-592	288	28	states	states	PROPN
ajset-592	288	29	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	288	30	;	;	PUNCT
ajset-592	288	31	mail	mail	NOUN
ajset-592	288	32	:	:	PUNCT
ajset-592	288	33	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	289	1	27	27	NUM
ajset-592	290	1	|	|	ADV
ajset-592	290	2	a	a	DET
ajset-592	290	3	c	c	NOUN
ajset-592	290	4	a	a	PRON
ajset-592	290	5	d	d	X
ajset-592	290	6	e	e	NOUN
ajset-592	290	7	m	m	NOUN
ajset-592	290	8	i	i	NOUN
ajset-592	290	9	c	c	NOUN
ajset-592	290	10	j	j	NOUN
ajset-592	290	11	o	o	X
ajset-592	290	12	u	u	NOUN
ajset-592	290	13	r	r	NOUN
ajset-592	290	14	n	n	NOUN
ajset-592	290	15	a	a	DET
ajset-592	290	16	l	l	NOUN
ajset-592	291	1	o	o	X
ajset-592	291	2	f	f	X
ajset-592	291	3	s	s	X
ajset-592	291	4	c	c	NOUN
ajset-592	292	1	i	i	NOUN
ajset-592	292	2	e	e	PROPN
ajset-592	292	3	n	n	PROPN
ajset-592	292	4	c	c	NOUN
ajset-592	292	5	e	e	X
ajset-592	292	6	,	,	PUNCT
ajset-592	292	7	e	e	PROPN
ajset-592	292	8	n	n	PRON
ajset-592	292	9	g	g	NOUN
ajset-592	292	10	i	i	PRON
ajset-592	292	11	n	n	VERB
ajset-592	292	12	e	e	NOUN
ajset-592	292	13	e	e	NOUN
ajset-592	292	14	r	r	VERB
ajset-592	292	15	i	i	PRON
ajset-592	292	16	n	n	CCONJ
ajset-592	292	17	g	g	PROPN
ajset-592	292	18	a	a	DET
ajset-592	292	19	n	n	NOUN
ajset-592	292	20	d	d	NOUN
ajset-592	292	21	t	t	NOUN
ajset-592	292	22	e	e	X
ajset-592	292	23	c	c	NOUN
ajset-592	292	24	h	h	NOUN
ajset-592	292	25	n	n	ADV
ajset-592	292	26	o	o	NOUN
ajset-592	292	27	l	l	NOUN
ajset-592	293	1	o	o	X
ajset-592	293	2	g	g	NOUN
ajset-592	293	3	y	y	PROPN
ajset-592	293	4	|	|	ADV
ajset-592	293	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	293	6	ding	ding	NOUN
ajset-592	293	7	,	,	PUNCT
ajset-592	293	8	j.	j.	PROPN
ajset-592	293	9	,	,	PUNCT
ajset-592	293	10	cao	cao	PROPN
ajset-592	293	11	,	,	PUNCT
ajset-592	293	12	y.	y.	PROPN
ajset-592	293	13	,	,	PUNCT
ajset-592	293	14	mpofu	mpofu	PROPN
ajset-592	293	15	,	,	PUNCT
ajset-592	293	16	e.	e.	PROPN
ajset-592	293	17	,	,	PUNCT
ajset-592	293	18	and	and	CCONJ
ajset-592	293	19	shi	shi	PROPN
ajset-592	293	20	,	,	PUNCT
ajset-592	293	21	z.	z.	PROPN
ajset-592	293	22	(	(	PUNCT
ajset-592	293	23	2012	2012	NUM
ajset-592	293	24	)	)	PUNCT
ajset-592	293	25	.	.	PUNCT
ajset-592	294	1	a	a	DET
ajset-592	294	2	hybrid	hybrid	ADJ
ajset-592	294	3	support	support	NOUN
ajset-592	294	4	vector	vector	NOUN
ajset-592	294	5	machine	machine	NOUN
ajset-592	294	6	and	and	CCONJ
ajset-592	294	7	fuzzy	fuzzy	ADJ
ajset-592	294	8	reasoning	reasoning	NOUN
ajset-592	294	9	based	base	VERB
ajset-592	294	10	fault	fault	NOUN
ajset-592	294	11	diagnosis	diagnosis	NOUN
ajset-592	294	12	and	and	CCONJ
ajset-592	294	13	rescue	rescue	NOUN
ajset-592	294	14	system	system	NOUN
ajset-592	294	15	for	for	ADP
ajset-592	294	16	stable	stable	ADJ
ajset-592	294	17	glutamate	glutamate	NOUN
ajset-592	294	18	fermentation	fermentation	NOUN
ajset-592	294	19	.	.	PUNCT
ajset-592	295	1	chemical	chemical	NOUN
ajset-592	295	2	engineering	engineering	PROPN
ajset-592	295	3	research	research	NOUN
ajset-592	295	4	and	and	CCONJ
ajset-592	295	5	design	design	NOUN
ajset-592	295	6	,	,	PUNCT
ajset-592	295	7	90(9	90(9	NUM
ajset-592	295	8	)	)	PUNCT
ajset-592	295	9	,	,	PUNCT
ajset-592	295	10	1197	1197	NUM
ajset-592	295	11	-	-	SYM
ajset-592	295	12	1207	1207	NUM
ajset-592	295	13	.	.	PUNCT
ajset-592	296	1	hornik	hornik	PROPN
ajset-592	296	2	,	,	PUNCT
ajset-592	296	3	k.	k.	PROPN
ajset-592	296	4	,	,	PUNCT
ajset-592	296	5	stinchcombe	stinchcombe	PROPN
ajset-592	296	6	,	,	PUNCT
ajset-592	296	7	m.	m.	NOUN
ajset-592	296	8	,	,	PUNCT
ajset-592	296	9	and	and	CCONJ
ajset-592	296	10	white	white	ADJ
ajset-592	296	11	,	,	PUNCT
ajset-592	296	12	h.	h.	PROPN
ajset-592	296	13	(	(	PUNCT
ajset-592	296	14	1989	1989	NUM
ajset-592	296	15	)	)	PUNCT
ajset-592	296	16	.	.	PUNCT
ajset-592	297	1	multilayer	multilayer	ADJ
ajset-592	297	2	feedforward	feedforward	NOUN
ajset-592	297	3	networks	network	NOUN
ajset-592	297	4	are	be	AUX
ajset-592	297	5	universal	universal	ADJ
ajset-592	297	6	approximators	approximator	NOUN
ajset-592	297	7	.	.	PUNCT
ajset-592	298	1	neural	neural	ADJ
ajset-592	298	2	networks	network	NOUN
ajset-592	298	3	,	,	PUNCT
ajset-592	298	4	2(5	2(5	NUM
ajset-592	298	5	)	)	PUNCT
ajset-592	298	6	,	,	PUNCT
ajset-592	298	7	359	359	NUM
ajset-592	298	8	-	-	SYM
ajset-592	298	9	366	366	NUM
ajset-592	298	10	.	.	PUNCT
ajset-592	299	1	shimizu	shimizu	PROPN
ajset-592	299	2	,	,	PUNCT
ajset-592	299	3	h.	h.	PROPN
ajset-592	299	4	,	,	PUNCT
ajset-592	299	5	yasuoka	yasuoka	PROPN
ajset-592	299	6	,	,	PUNCT
ajset-592	299	7	k.	k.	PROPN
ajset-592	299	8	,	,	PUNCT
ajset-592	299	9	uchiyama	uchiyama	NOUN
ajset-592	299	10	,	,	PUNCT
ajset-592	299	11	k.	k.	PROPN
ajset-592	299	12	,	,	PUNCT
ajset-592	299	13	and	and	CCONJ
ajset-592	299	14	shioya	shioya	PROPN
ajset-592	299	15	,	,	PUNCT
ajset-592	299	16	s.	s.	PROPN
ajset-592	299	17	(	(	PUNCT
ajset-592	299	18	1997	1997	NUM
ajset-592	299	19	)	)	PUNCT
ajset-592	299	20	.	.	PUNCT
ajset-592	300	1	on	on	ADP
ajset-592	300	2	-	-	PUNCT
ajset-592	300	3	line	line	NOUN
ajset-592	300	4	fault	fault	NOUN
ajset-592	300	5	diagnosis	diagnosis	NOUN
ajset-592	300	6	for	for	ADP
ajset-592	300	7	optimal	optimal	ADJ
ajset-592	300	8	rice	rice	NOUN
ajset-592	300	9	aamylase	aamylase	NOUN
ajset-592	300	10	production	production	NOUN
ajset-592	300	11	process	process	NOUN
ajset-592	300	12	of	of	ADP
ajset-592	300	13	a	a	DET
ajset-592	300	14	temperature	temperature	NOUN
ajset-592	300	15	-	-	PUNCT
ajset-592	300	16	sensitive	sensitive	ADJ
ajset-592	300	17	mutant	mutant	NOUN
ajset-592	300	18	of	of	ADP
ajset-592	300	19	saccharomyces	saccharomyce	NOUN
ajset-592	300	20	cerevisiae	cerevisiae	NOUN
ajset-592	300	21	by	by	ADP
ajset-592	300	22	an	an	DET
ajset-592	300	23	autoassociative	autoassociative	ADJ
ajset-592	300	24	neural	neural	ADJ
ajset-592	300	25	network	network	NOUN
ajset-592	300	26	.	.	PUNCT
ajset-592	301	1	journal	journal	NOUN
ajset-592	301	2	of	of	ADP
ajset-592	301	3	fermentation	fermentation	NOUN
ajset-592	301	4	and	and	CCONJ
ajset-592	301	5	bioengineering	bioengineering	NOUN
ajset-592	301	6	,	,	PUNCT
ajset-592	301	7	83(5	83(5	NUM
ajset-592	301	8	)	)	PUNCT
ajset-592	301	9	,	,	PUNCT
ajset-592	301	10	435	435	NUM
ajset-592	301	11	-	-	SYM
ajset-592	301	12	442	442	NUM
ajset-592	301	13	.	.	PUNCT
ajset-592	302	1	lopes	lopes	PROPN
ajset-592	302	2	,	,	PUNCT
ajset-592	302	3	j.	j.	PROPN
ajset-592	302	4	a.	a.	PROPN
ajset-592	302	5	,	,	PUNCT
ajset-592	302	6	and	and	CCONJ
ajset-592	302	7	menezes	menezes	PROPN
ajset-592	302	8	,	,	PUNCT
ajset-592	302	9	j.	j.	PROPN
ajset-592	302	10	c.	c.	PROPN
ajset-592	302	11	(	(	PUNCT
ajset-592	302	12	2004	2004	NUM
ajset-592	302	13	)	)	PUNCT
ajset-592	302	14	.	.	PUNCT
ajset-592	303	1	multivariate	multivariate	NOUN
ajset-592	303	2	monitoring	monitoring	NOUN
ajset-592	303	3	of	of	ADP
ajset-592	303	4	fermentation	fermentation	NOUN
ajset-592	303	5	processes	process	NOUN
ajset-592	303	6	with	with	ADP
ajset-592	303	7	non	non	ADJ
ajset-592	303	8	-	-	ADJ
ajset-592	303	9	linear	linear	ADJ
ajset-592	303	10	modelling	modelling	NOUN
ajset-592	303	11	methods	method	NOUN
ajset-592	303	12	.	.	PUNCT
ajset-592	304	1	analytica	analytica	PROPN
ajset-592	304	2	chimica	chimica	PROPN
ajset-592	304	3	acta	acta	PROPN
ajset-592	304	4	,	,	PUNCT
ajset-592	304	5	515(1	515(1	NUM
ajset-592	304	6	)	)	PUNCT
ajset-592	304	7	,	,	PUNCT
ajset-592	304	8	101	101	NUM
ajset-592	304	9	-	-	SYM
ajset-592	304	10	108	108	NUM
ajset-592	304	11	.	.	PUNCT
ajset-592	305	1	yu	yu	PROPN
ajset-592	305	2	,	,	PUNCT
ajset-592	305	3	j.	j.	PROPN
ajset-592	305	4	,	,	PUNCT
ajset-592	305	5	zhang	zhang	PROPN
ajset-592	305	6	,	,	PUNCT
ajset-592	305	7	c.	c.	PROPN
ajset-592	305	8	,	,	PUNCT
ajset-592	305	9	and	and	CCONJ
ajset-592	305	10	wang	wang	PROPN
ajset-592	305	11	,	,	PUNCT
ajset-592	305	12	s.	s.	PROPN
ajset-592	305	13	(	(	PUNCT
ajset-592	305	14	2021	2021	NUM
ajset-592	305	15	)	)	PUNCT
ajset-592	305	16	.	.	PUNCT
ajset-592	306	1	multichannel	multichannel	VERB
ajset-592	306	2	one	one	NUM
ajset-592	306	3	-	-	PUNCT
ajset-592	306	4	dimensional	dimensional	ADJ
ajset-592	306	5	convolutional	convolutional	ADJ
ajset-592	306	6	neural	neural	ADJ
ajset-592	306	7	network	network	NOUN
ajset-592	306	8	-	-	PUNCT
ajset-592	306	9	based	base	VERB
ajset-592	306	10	feature	feature	NOUN
ajset-592	306	11	learning	learn	VERB
ajset-592	306	12	for	for	ADP
ajset-592	306	13	fault	fault	VERB
ajset-592	306	14	diagnosis	diagnosis	NOUN
ajset-592	306	15	of	of	ADP
ajset-592	306	16	industrial	industrial	ADJ
ajset-592	306	17	processes	process	NOUN
ajset-592	306	18	.	.	PUNCT
ajset-592	307	1	neural	neural	ADJ
ajset-592	307	2	computing	computing	NOUN
ajset-592	307	3	and	and	CCONJ
ajset-592	307	4	applications	application	NOUN
ajset-592	307	5	,	,	PUNCT
ajset-592	307	6	33	33	NUM
ajset-592	307	7	,	,	PUNCT
ajset-592	307	8	3085	3085	NUM
ajset-592	307	9	-	-	SYM
ajset-592	307	10	3104	3104	NUM
ajset-592	307	11	.	.	PUNCT
ajset-592	308	1	chen	chen	PROPN
ajset-592	308	2	,	,	PUNCT
ajset-592	308	3	s.	s.	PROPN
ajset-592	308	4	,	,	PUNCT
ajset-592	308	5	yu	yu	PROPN
ajset-592	308	6	,	,	PUNCT
ajset-592	308	7	j.	j.	PROPN
ajset-592	308	8	,	,	PUNCT
ajset-592	308	9	and	and	CCONJ
ajset-592	308	10	wang	wang	PROPN
ajset-592	308	11	,	,	PUNCT
ajset-592	308	12	s.	s.	PROPN
ajset-592	308	13	(	(	PUNCT
ajset-592	308	14	2020	2020	NUM
ajset-592	308	15	)	)	PUNCT
ajset-592	308	16	.	.	PUNCT
ajset-592	309	1	one	one	NUM
ajset-592	309	2	-	-	PUNCT
ajset-592	309	3	dimensional	dimensional	ADJ
ajset-592	309	4	convolutional	convolutional	ADJ
ajset-592	309	5	auto	auto	NOUN
ajset-592	309	6	-	-	PUNCT
ajset-592	309	7	encoder	encoder	NOUN
ajset-592	309	8	-	-	PUNCT
ajset-592	309	9	based	base	VERB
ajset-592	309	10	feature	feature	NOUN
ajset-592	309	11	learning	learn	VERB
ajset-592	309	12	for	for	ADP
ajset-592	309	13	fault	fault	VERB
ajset-592	309	14	diagnosis	diagnosis	NOUN
ajset-592	309	15	of	of	ADP
ajset-592	309	16	multivariate	multivariate	NOUN
ajset-592	309	17	processes	process	NOUN
ajset-592	309	18	.	.	PUNCT
ajset-592	310	1	journal	journal	PROPN
ajset-592	310	2	of	of	ADP
ajset-592	310	3	process	process	NOUN
ajset-592	310	4	control	control	NOUN
ajset-592	310	5	,	,	PUNCT
ajset-592	310	6	87	87	NUM
ajset-592	310	7	,	,	PUNCT
ajset-592	310	8	54	54	NUM
ajset-592	310	9	-	-	SYM
ajset-592	310	10	67	67	NUM
ajset-592	310	11	.	.	PUNCT
ajset-592	311	1	[	[	X
ajset-592	311	2	20	20	NUM
ajset-592	311	3	]	]	X
ajset-592	311	4	peng	peng	PROPN
ajset-592	311	5	,	,	PUNCT
ajset-592	311	6	c.	c.	PROPN
ajset-592	311	7	,	,	PUNCT
ajset-592	311	8	lu	lu	PROPN
ajset-592	311	9	,	,	PUNCT
ajset-592	311	10	r.	r.	PROPN
ajset-592	311	11	,	,	PUNCT
ajset-592	311	12	kang	kang	PROPN
ajset-592	311	13	,	,	PUNCT
ajset-592	311	14	o.	o.	PROPN
ajset-592	311	15	,	,	PUNCT
ajset-592	311	16	and	and	CCONJ
ajset-592	311	17	kai	kai	PROPN
ajset-592	311	18	,	,	PUNCT
ajset-592	311	19	w.	w.	PROPN
ajset-592	311	20	(	(	PUNCT
ajset-592	311	21	2020	2020	NUM
ajset-592	311	22	)	)	PUNCT
ajset-592	311	23	.	.	PUNCT
ajset-592	311	24	batch	batch	NOUN
ajset-592	311	25	process	process	NOUN
ajset-592	311	26	fault	fault	NOUN
ajset-592	311	27	detection	detection	NOUN
ajset-592	311	28	for	for	ADP
ajset-592	311	29	multi	multi	ADJ
ajset-592	311	30	-	-	ADJ
ajset-592	311	31	stage	stage	ADJ
ajset-592	311	32	broad	broad	ADJ
ajset-592	311	33	learning	learning	NOUN
ajset-592	311	34	system	system	NOUN
ajset-592	311	35	.	.	PUNCT
ajset-592	312	1	neural	neural	ADJ
ajset-592	312	2	networks	network	NOUN
ajset-592	312	3	,	,	PUNCT
ajset-592	312	4	129	129	NUM
ajset-592	312	5	,	,	PUNCT
ajset-592	312	6	298	298	NUM
ajset-592	312	7	-	-	SYM
ajset-592	312	8	312	312	NUM
ajset-592	312	9	.	.	PUNCT
ajset-592	313	1	chen	chen	PROPN
ajset-592	313	2	,	,	PUNCT
ajset-592	313	3	h.	h.	PROPN
ajset-592	313	4	,	,	PUNCT
ajset-592	313	5	liu	liu	PROPN
ajset-592	313	6	,	,	PUNCT
ajset-592	313	7	z.	z.	PROPN
ajset-592	313	8	,	,	PUNCT
ajset-592	313	9	alippi	alippi	PROPN
ajset-592	313	10	,	,	PUNCT
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ajset-592	313	12	,	,	PUNCT
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ajset-592	313	14	,	,	PUNCT
ajset-592	313	15	b.	b.	PROPN
ajset-592	313	16	,	,	PUNCT
ajset-592	313	17	and	and	CCONJ
ajset-592	313	18	liu	liu	PROPN
ajset-592	313	19	,	,	PUNCT
ajset-592	313	20	d.	d.	PROPN
ajset-592	313	21	(	(	PUNCT
ajset-592	313	22	2022	2022	NUM
ajset-592	313	23	)	)	PUNCT
ajset-592	313	24	.	.	PUNCT
ajset-592	314	1	explainable	explainable	ADJ
ajset-592	314	2	intelligent	intelligent	ADJ
ajset-592	314	3	fault	fault	NOUN
ajset-592	314	4	diagnosis	diagnosis	NOUN
ajset-592	314	5	for	for	ADP
ajset-592	314	6	nonlinear	nonlinear	ADJ
ajset-592	314	7	dynamic	dynamic	ADJ
ajset-592	314	8	systems	system	NOUN
ajset-592	314	9	:	:	PUNCT
ajset-592	314	10	from	from	ADP
ajset-592	314	11	unsupervised	unsupervised	ADJ
ajset-592	314	12	to	to	ADP
ajset-592	314	13	supervised	supervised	ADJ
ajset-592	314	14	learning	learning	NOUN
ajset-592	314	15	.	.	PUNCT
ajset-592	315	1	ieee	ieee	NOUN
ajset-592	315	2	transactions	transaction	NOUN
ajset-592	315	3	on	on	ADP
ajset-592	315	4	neural	neural	ADJ
ajset-592	315	5	networks	network	NOUN
ajset-592	315	6	and	and	CCONJ
ajset-592	315	7	learning	learning	NOUN
ajset-592	315	8	systems	system	NOUN
ajset-592	315	9	.	.	PUNCT
ajset-592	316	1	chen	chen	PROPN
ajset-592	316	2	,	,	PUNCT
ajset-592	316	3	h.	h.	PROPN
ajset-592	316	4	,	,	PUNCT
ajset-592	316	5	chai	chai	NOUN
ajset-592	316	6	,	,	PUNCT
ajset-592	316	7	z.	z.	PROPN
ajset-592	316	8	,	,	PUNCT
ajset-592	316	9	dogru	dogru	PROPN
ajset-592	316	10	,	,	PUNCT
ajset-592	316	11	o.	o.	PROPN
ajset-592	316	12	,	,	PUNCT
ajset-592	316	13	jiang	jiang	PROPN
ajset-592	316	14	,	,	PUNCT
ajset-592	316	15	b.	b.	PROPN
ajset-592	316	16	,	,	PUNCT
ajset-592	316	17	and	and	CCONJ
ajset-592	316	18	huang	huang	PROPN
ajset-592	316	19	,	,	PUNCT
ajset-592	316	20	b.	b.	PROPN
ajset-592	316	21	(	(	PUNCT
ajset-592	316	22	2021	2021	NUM
ajset-592	316	23	)	)	PUNCT
ajset-592	316	24	.	.	PUNCT
ajset-592	317	1	data	data	NOUN
ajset-592	317	2	-	-	PUNCT
ajset-592	317	3	driven	drive	VERB
ajset-592	317	4	designs	design	NOUN
ajset-592	317	5	of	of	ADP
ajset-592	317	6	fault	fault	NOUN
ajset-592	317	7	detection	detection	NOUN
ajset-592	317	8	systems	system	NOUN
ajset-592	317	9	via	via	ADP
ajset-592	317	10	neural	neural	ADJ
ajset-592	317	11	network	network	NOUN
ajset-592	317	12	-	-	PUNCT
ajset-592	317	13	aided	aid	VERB
ajset-592	317	14	learning	learning	NOUN
ajset-592	317	15	.	.	PUNCT
ajset-592	318	1	ieee	ieee	NOUN
ajset-592	318	2	transactions	transaction	NOUN
ajset-592	318	3	on	on	ADP
ajset-592	318	4	neural	neural	ADJ
ajset-592	318	5	networks	network	NOUN
ajset-592	318	6	and	and	CCONJ
ajset-592	318	7	learning	learning	NOUN
ajset-592	318	8	systems	system	NOUN
ajset-592	318	9	,	,	PUNCT
ajset-592	318	10	33(10	33(10	NUM
ajset-592	318	11	)	)	PUNCT
ajset-592	318	12	,	,	PUNCT
ajset-592	318	13	5694	5694	NUM
ajset-592	318	14	-	-	SYM
ajset-592	318	15	5705	5705	NUM
ajset-592	318	16	.	.	PUNCT
ajset-592	319	1	sherstinsky	sherstinsky	PROPN
ajset-592	319	2	,	,	PUNCT
ajset-592	319	3	a.	a.	NOUN
ajset-592	319	4	(	(	PUNCT
ajset-592	319	5	2020	2020	NUM
ajset-592	319	6	)	)	PUNCT
ajset-592	319	7	.	.	PUNCT
ajset-592	320	1	fundamentals	fundamental	NOUN
ajset-592	320	2	of	of	ADP
ajset-592	320	3	recurrent	recurrent	ADJ
ajset-592	320	4	neural	neural	ADJ
ajset-592	320	5	network	network	NOUN
ajset-592	320	6	(	(	PUNCT
ajset-592	320	7	rnn	rnn	PROPN
ajset-592	320	8	)	)	PUNCT
ajset-592	320	9	and	and	CCONJ
ajset-592	320	10	long	long	ADJ
ajset-592	320	11	short	short	ADJ
ajset-592	320	12	-	-	PUNCT
ajset-592	320	13	term	term	NOUN
ajset-592	320	14	memory	memory	NOUN
ajset-592	320	15	(	(	PUNCT
ajset-592	320	16	lstm	lstm	NOUN
ajset-592	320	17	)	)	PUNCT
ajset-592	320	18	network	network	NOUN
ajset-592	320	19	.	.	PUNCT
ajset-592	321	1	physica	physica	PROPN
ajset-592	321	2	d	d	NOUN
ajset-592	321	3	:	:	PUNCT
ajset-592	321	4	nonlinear	nonlinear	ADJ
ajset-592	321	5	phenomena	phenomenon	NOUN
ajset-592	321	6	,	,	PUNCT
ajset-592	321	7	404	404	NUM
ajset-592	321	8	,	,	PUNCT
ajset-592	321	9	132306	132306	NUM
ajset-592	321	10	.	.	PUNCT
ajset-592	322	1	zhang	zhang	PROPN
ajset-592	322	2	,	,	PUNCT
ajset-592	322	3	m.	m.	NOUN
ajset-592	322	4	,	,	PUNCT
ajset-592	322	5	li	li	PROPN
ajset-592	322	6	,	,	PUNCT
ajset-592	322	7	x.	x.	NOUN
ajset-592	322	8	,	,	PUNCT
ajset-592	322	9	and	and	CCONJ
ajset-592	322	10	wang	wang	PROPN
ajset-592	322	11	,	,	PUNCT
ajset-592	322	12	r.	r.	PROPN
ajset-592	322	13	(	(	PUNCT
ajset-592	322	14	2021	2021	NUM
ajset-592	322	15	)	)	PUNCT
ajset-592	322	16	.	.	PUNCT
ajset-592	323	1	incipient	incipient	ADJ
ajset-592	323	2	fault	fault	NOUN
ajset-592	323	3	diagnosis	diagnosis	NOUN
ajset-592	323	4	of	of	ADP
ajset-592	323	5	batch	batch	NOUN
ajset-592	323	6	process	process	NOUN
ajset-592	323	7	based	base	VERB
ajset-592	323	8	on	on	ADP
ajset-592	323	9	deep	deep	ADJ
ajset-592	323	10	time	time	NOUN
ajset-592	323	11	series	series	PROPN
ajset-592	323	12	feature	feature	NOUN
ajset-592	323	13	extraction	extraction	NOUN
ajset-592	323	14	.	.	PUNCT
ajset-592	324	1	arabian	arabian	ADJ
ajset-592	324	2	journal	journal	PROPN
ajset-592	324	3	for	for	ADP
ajset-592	324	4	science	science	NOUN
ajset-592	324	5	and	and	CCONJ
ajset-592	324	6	engineering	engineering	NOUN
ajset-592	324	7	,	,	PUNCT
ajset-592	324	8	1	1	NUM
ajset-592	324	9	-	-	SYM
ajset-592	324	10	12	12	NUM
ajset-592	324	11	.	.	PUNCT
ajset-592	325	1	ren	ren	PROPN
ajset-592	325	2	,	,	PUNCT
ajset-592	325	3	j.	j.	PROPN
ajset-592	325	4	,	,	PUNCT
ajset-592	325	5	and	and	CCONJ
ajset-592	325	6	ni	ni	PROPN
ajset-592	325	7	,	,	PUNCT
ajset-592	325	8	d.	d.	PROPN
ajset-592	325	9	(	(	PUNCT
ajset-592	325	10	2020	2020	NUM
ajset-592	325	11	)	)	PUNCT
ajset-592	325	12	.	.	PUNCT
ajset-592	326	1	a	a	DET
ajset-592	326	2	batch	batch	NOUN
ajset-592	326	3	-	-	PUNCT
ajset-592	326	4	wise	wise	ADJ
ajset-592	326	5	lstm	lstm	ADJ
ajset-592	326	6	-	-	PUNCT
ajset-592	326	7	encoder	encoder	NOUN
ajset-592	326	8	decoder	decoder	NOUN
ajset-592	326	9	network	network	NOUN
ajset-592	326	10	for	for	ADP
ajset-592	326	11	batch	batch	NOUN
ajset-592	326	12	process	process	NOUN
ajset-592	326	13	monitoring	monitoring	NOUN
ajset-592	326	14	.	.	PUNCT
ajset-592	327	1	chemical	chemical	NOUN
ajset-592	327	2	engineering	engineering	PROPN
ajset-592	327	3	research	research	NOUN
ajset-592	327	4	and	and	CCONJ
ajset-592	327	5	design	design	NOUN
ajset-592	327	6	,	,	PUNCT
ajset-592	327	7	164	164	NUM
ajset-592	327	8	,	,	PUNCT
ajset-592	327	9	102	102	NUM
ajset-592	327	10	-	-	SYM
ajset-592	327	11	112	112	NUM
ajset-592	327	12	.	.	PUNCT
ajset-592	328	1	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	328	2	academic	academic	ADJ
ajset-592	328	3	journal	journal	NOUN
ajset-592	328	4	of	of	ADP
ajset-592	328	5	science	science	NOUN
ajset-592	328	6	,	,	PUNCT
ajset-592	328	7	engineering	engineering	NOUN
ajset-592	328	8	and	and	CCONJ
ajset-592	328	9	technology	technology	NOUN
ajset-592	328	10	vol.7	vol.7	PROPN
ajset-592	328	11	,	,	PUNCT
ajset-592	328	12	issue	issue	NOUN
ajset-592	328	13	1	1	NUM
ajset-592	328	14	;	;	PUNCT
ajset-592	328	15	january	january	PROPN
ajset-592	328	16	febuary	febuary	PROPN
ajset-592	328	17	2022	2022	NUM
ajset-592	328	18	;	;	PUNCT
ajset-592	328	19	1252	1252	NUM
ajset-592	328	20	columbia	columbia	PROPN
ajset-592	328	21	rd	rd	PROPN
ajset-592	328	22	nw	nw	PROPN
ajset-592	328	23	,	,	PUNCT
ajset-592	328	24	washington	washington	PROPN
ajset-592	328	25	dc	dc	PROPN
ajset-592	328	26	,	,	PUNCT
ajset-592	328	27	united	united	PROPN
ajset-592	328	28	states	states	PROPN
ajset-592	328	29	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	328	30	;	;	PUNCT
ajset-592	328	31	mail	mail	NOUN
ajset-592	328	32	:	:	PUNCT
ajset-592	329	1	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	329	2	28	28	NUM
ajset-592	330	1	|	|	ADV
ajset-592	330	2	a	a	DET
ajset-592	330	3	c	c	NOUN
ajset-592	330	4	a	a	PRON
ajset-592	330	5	d	d	X
ajset-592	330	6	e	e	NOUN
ajset-592	330	7	m	m	NOUN
ajset-592	330	8	i	i	NOUN
ajset-592	330	9	c	c	NOUN
ajset-592	330	10	j	j	NOUN
ajset-592	330	11	o	o	X
ajset-592	330	12	u	u	NOUN
ajset-592	330	13	r	r	NOUN
ajset-592	330	14	n	n	NOUN
ajset-592	330	15	a	a	DET
ajset-592	330	16	l	l	NOUN
ajset-592	331	1	o	o	X
ajset-592	331	2	f	f	X
ajset-592	331	3	s	s	X
ajset-592	331	4	c	c	NOUN
ajset-592	332	1	i	i	NOUN
ajset-592	332	2	e	e	PROPN
ajset-592	332	3	n	n	PROPN
ajset-592	332	4	c	c	NOUN
ajset-592	332	5	e	e	X
ajset-592	332	6	,	,	PUNCT
ajset-592	332	7	e	e	PROPN
ajset-592	332	8	n	n	PRON
ajset-592	332	9	g	g	NOUN
ajset-592	332	10	i	i	PRON
ajset-592	332	11	n	n	VERB
ajset-592	332	12	e	e	NOUN
ajset-592	332	13	e	e	NOUN
ajset-592	332	14	r	r	VERB
ajset-592	332	15	i	i	PRON
ajset-592	332	16	n	n	CCONJ
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ajset-592	332	19	n	n	NOUN
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ajset-592	332	21	t	t	NOUN
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ajset-592	333	1	o	o	X
ajset-592	333	2	g	g	NOUN
ajset-592	333	3	y	y	PROPN
ajset-592	333	4	|	|	ADV
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ajset-592	333	8	b.	b.	PROPN
ajset-592	333	9	o.	o.	PROPN
ajset-592	333	10	(	(	PUNCT
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ajset-592	333	13	.	.	PUNCT
ajset-592	334	1	hamiltonian	hamiltonian	ADJ
ajset-592	334	2	systems	system	NOUN
ajset-592	334	3	and	and	CCONJ
ajset-592	334	4	transformation	transformation	NOUN
ajset-592	334	5	in	in	ADP
ajset-592	334	6	hilbert	hilbert	NOUN
ajset-592	334	7	space	space	NOUN
ajset-592	334	8	.	.	PUNCT
ajset-592	335	1	proceedings	proceeding	NOUN
ajset-592	335	2	of	of	ADP
ajset-592	335	3	the	the	DET
ajset-592	335	4	national	national	PROPN
ajset-592	335	5	academy	academy	PROPN
ajset-592	335	6	of	of	ADP
ajset-592	335	7	sciences	sciences	PROPN
ajset-592	335	8	,	,	PUNCT
ajset-592	335	9	17(5	17(5	NUM
ajset-592	335	10	)	)	PUNCT
ajset-592	335	11	,	,	PUNCT
ajset-592	335	12	315	315	NUM
ajset-592	335	13	-	-	SYM
ajset-592	335	14	318	318	NUM
ajset-592	335	15	.	.	PUNCT
ajset-592	336	1	brunton	brunton	PROPN
ajset-592	336	2	,	,	PUNCT
ajset-592	336	3	s.	s.	PROPN
ajset-592	336	4	l.	l.	PROPN
ajset-592	336	5	(	(	PUNCT
ajset-592	336	6	2019	2019	NUM
ajset-592	336	7	)	)	PUNCT
ajset-592	336	8	.	.	PUNCT
ajset-592	337	1	notes	note	NOUN
ajset-592	337	2	on	on	ADP
ajset-592	337	3	koopman	koopman	NOUN
ajset-592	337	4	operator	operator	NOUN
ajset-592	337	5	theory	theory	NOUN
ajset-592	337	6	.	.	PUNCT
ajset-592	338	1	universität	universität	PROPN
ajset-592	338	2	von	von	PROPN
ajset-592	338	3	washington	washington	PROPN
ajset-592	338	4	,	,	PUNCT
ajset-592	338	5	department	department	PROPN
ajset-592	338	6	of	of	ADP
ajset-592	338	7	mechanical	mechanical	ADJ
ajset-592	338	8	engineering	engineering	PROPN
ajset-592	338	9	,	,	PUNCT
ajset-592	338	10	zugriff	zugriff	PROPN
ajset-592	338	11	,	,	PUNCT
ajset-592	338	12	30	30	NUM
ajset-592	338	13	.	.	PUNCT
ajset-592	339	1	rowley	rowley	NOUN
ajset-592	339	2	,	,	PUNCT
ajset-592	339	3	c.	c.	PROPN
ajset-592	339	4	w.	w.	PROPN
ajset-592	339	5	,	,	PUNCT
ajset-592	339	6	mezić	mezić	PROPN
ajset-592	339	7	,	,	PUNCT
ajset-592	339	8	i.	i.	PROPN
ajset-592	339	9	,	,	PUNCT
ajset-592	339	10	bagheri	bagheri	PROPN
ajset-592	339	11	,	,	PUNCT
ajset-592	339	12	s.	s.	PROPN
ajset-592	339	13	,	,	PUNCT
ajset-592	339	14	schlatter	schlatter	PROPN
ajset-592	339	15	,	,	PUNCT
ajset-592	339	16	p.	p.	NOUN
ajset-592	339	17	,	,	PUNCT
ajset-592	339	18	and	and	CCONJ
ajset-592	339	19	henningson	henningson	NOUN
ajset-592	339	20	,	,	PUNCT
ajset-592	339	21	d.	d.	PROPN
ajset-592	339	22	s.	s.	PROPN
ajset-592	339	23	(	(	PUNCT
ajset-592	339	24	2009	2009	NUM
ajset-592	339	25	)	)	PUNCT
ajset-592	339	26	.	.	PUNCT
ajset-592	340	1	spectral	spectral	ADJ
ajset-592	340	2	analysis	analysis	NOUN
ajset-592	340	3	of	of	ADP
ajset-592	340	4	nonlinear	nonlinear	ADJ
ajset-592	340	5	flows	flow	NOUN
ajset-592	340	6	.	.	PUNCT
ajset-592	341	1	journal	journal	NOUN
ajset-592	341	2	of	of	ADP
ajset-592	341	3	fluid	fluid	ADJ
ajset-592	341	4	mechanics	mechanic	NOUN
ajset-592	341	5	,	,	PUNCT
ajset-592	341	6	641	641	NUM
ajset-592	341	7	,	,	PUNCT
ajset-592	341	8	115	115	NUM
ajset-592	341	9	-	-	SYM
ajset-592	341	10	127	127	NUM
ajset-592	341	11	.	.	PUNCT
ajset-592	342	1	schmid	schmid	PROPN
ajset-592	342	2	,	,	PUNCT
ajset-592	342	3	p.	p.	PROPN
ajset-592	342	4	j.	j.	PROPN
ajset-592	343	1	(	(	PUNCT
ajset-592	343	2	2010	2010	NUM
ajset-592	343	3	)	)	PUNCT
ajset-592	343	4	.	.	PUNCT
ajset-592	344	1	dynamic	dynamic	ADJ
ajset-592	344	2	mode	mode	NOUN
ajset-592	344	3	decomposition	decomposition	NOUN
ajset-592	344	4	of	of	ADP
ajset-592	344	5	numerical	numerical	ADJ
ajset-592	344	6	and	and	CCONJ
ajset-592	344	7	experimental	experimental	ADJ
ajset-592	344	8	data	datum	NOUN
ajset-592	344	9	.	.	PUNCT
ajset-592	345	1	journal	journal	NOUN
ajset-592	345	2	of	of	ADP
ajset-592	345	3	fluid	fluid	ADJ
ajset-592	345	4	mechanics	mechanic	NOUN
ajset-592	345	5	,	,	PUNCT
ajset-592	345	6	656	656	NUM
ajset-592	345	7	,	,	PUNCT
ajset-592	345	8	5	5	NUM
ajset-592	345	9	-	-	SYM
ajset-592	345	10	28	28	NUM
ajset-592	345	11	.	.	PUNCT
ajset-592	346	1	williams	williams	PROPN
ajset-592	346	2	,	,	PUNCT
ajset-592	346	3	m.	m.	PROPN
ajset-592	346	4	o.	o.	PROPN
ajset-592	346	5	,	,	PUNCT
ajset-592	346	6	kevrekidis	kevrekidis	PROPN
ajset-592	346	7	,	,	PUNCT
ajset-592	346	8	i.	i.	PROPN
ajset-592	346	9	g.	g.	PROPN
ajset-592	346	10	,	,	PUNCT
ajset-592	346	11	and	and	CCONJ
ajset-592	346	12	rowley	rowley	VERB
ajset-592	346	13	,	,	PUNCT
ajset-592	346	14	c.	c.	PROPN
ajset-592	346	15	w.	w.	PROPN
ajset-592	346	16	(	(	PUNCT
ajset-592	346	17	2015	2015	NUM
ajset-592	346	18	)	)	PUNCT
ajset-592	346	19	.	.	PUNCT
ajset-592	347	1	a	a	DET
ajset-592	347	2	data	data	NOUN
ajset-592	347	3	–	–	PUNCT
ajset-592	347	4	driven	drive	VERB
ajset-592	347	5	approximation	approximation	NOUN
ajset-592	347	6	of	of	ADP
ajset-592	347	7	the	the	DET
ajset-592	347	8	koopman	koopman	NOUN
ajset-592	347	9	operator	operator	NOUN
ajset-592	347	10	:	:	PUNCT
ajset-592	347	11	extending	extend	VERB
ajset-592	347	12	dynamic	dynamic	ADJ
ajset-592	347	13	mode	mode	NOUN
ajset-592	347	14	decomposition	decomposition	NOUN
ajset-592	347	15	.	.	PUNCT
ajset-592	348	1	journal	journal	NOUN
ajset-592	348	2	of	of	ADP
ajset-592	348	3	nonlinear	nonlinear	ADJ
ajset-592	348	4	science	science	NOUN
ajset-592	348	5	,	,	PUNCT
ajset-592	348	6	25	25	NUM
ajset-592	348	7	,	,	PUNCT
ajset-592	348	8	13071346	13071346	NUM
ajset-592	348	9	.	.	PUNCT
ajset-592	349	1	korda	korda	PROPN
ajset-592	349	2	,	,	PUNCT
ajset-592	349	3	m.	m.	NOUN
ajset-592	349	4	,	,	PUNCT
ajset-592	349	5	and	and	CCONJ
ajset-592	349	6	mezić	mezić	NOUN
ajset-592	349	7	,	,	PUNCT
ajset-592	349	8	i.	i.	NOUN
ajset-592	349	9	(	(	PUNCT
ajset-592	349	10	2018	2018	NUM
ajset-592	349	11	)	)	PUNCT
ajset-592	349	12	.	.	PUNCT
ajset-592	350	1	linear	linear	ADJ
ajset-592	350	2	predictors	predictor	NOUN
ajset-592	350	3	for	for	ADP
ajset-592	350	4	nonlinear	nonlinear	ADJ
ajset-592	350	5	dynamical	dynamical	ADJ
ajset-592	350	6	systems	system	NOUN
ajset-592	350	7	:	:	PUNCT
ajset-592	350	8	koopman	koopman	NOUN
ajset-592	350	9	operator	operator	NOUN
ajset-592	350	10	meets	meet	VERB
ajset-592	350	11	model	model	NOUN
ajset-592	350	12	predictive	predictive	ADJ
ajset-592	350	13	control	control	PROPN
ajset-592	350	14	.	.	PUNCT
ajset-592	351	1	automatica	automatica	PROPN
ajset-592	351	2	,	,	PUNCT
ajset-592	351	3	93	93	NUM
ajset-592	351	4	,	,	PUNCT
ajset-592	351	5	149	149	NUM
ajset-592	351	6	-	-	SYM
ajset-592	351	7	160	160	NUM
ajset-592	351	8	.	.	PUNCT
ajset-592	352	1	brunton	brunton	PROPN
ajset-592	352	2	,	,	PUNCT
ajset-592	352	3	s.	s.	PROPN
ajset-592	352	4	l.	l.	PROPN
ajset-592	352	5	,	,	PUNCT
ajset-592	352	6	brunton	brunton	PROPN
ajset-592	352	7	,	,	PUNCT
ajset-592	352	8	b.	b.	PROPN
ajset-592	352	9	w.	w.	PROPN
ajset-592	352	10	,	,	PUNCT
ajset-592	352	11	proctor	proctor	PROPN
ajset-592	352	12	,	,	PUNCT
ajset-592	352	13	j.	j.	PROPN
ajset-592	352	14	l.	l.	PROPN
ajset-592	352	15	,	,	PUNCT
ajset-592	352	16	and	and	CCONJ
ajset-592	352	17	kutz	kutz	PROPN
ajset-592	352	18	,	,	PUNCT
ajset-592	352	19	j.	j.	PROPN
ajset-592	352	20	n.	n.	PROPN
ajset-592	352	21	(	(	PUNCT
ajset-592	352	22	2016	2016	NUM
ajset-592	352	23	)	)	PUNCT
ajset-592	352	24	.	.	PUNCT
ajset-592	353	1	koopman	koopman	PROPN
ajset-592	353	2	invariant	invariant	ADJ
ajset-592	353	3	subspaces	subspace	NOUN
ajset-592	353	4	and	and	CCONJ
ajset-592	353	5	finite	finite	VERB
ajset-592	353	6	linear	linear	ADJ
ajset-592	353	7	representations	representation	NOUN
ajset-592	353	8	of	of	ADP
ajset-592	353	9	nonlinear	nonlinear	ADJ
ajset-592	353	10	dynamical	dynamical	ADJ
ajset-592	353	11	systems	system	NOUN
ajset-592	353	12	for	for	ADP
ajset-592	353	13	control	control	NOUN
ajset-592	353	14	.	.	PUNCT
ajset-592	354	1	plos	plos	PROPN
ajset-592	354	2	one	one	NUM
ajset-592	354	3	,	,	PUNCT
ajset-592	354	4	11(2	11(2	NUM
ajset-592	354	5	)	)	PUNCT
ajset-592	354	6	,	,	PUNCT
ajset-592	354	7	e0150171	e0150171	PROPN
ajset-592	354	8	.	.	PUNCT
ajset-592	354	9	lusch	lusch	PROPN
ajset-592	354	10	,	,	PUNCT
ajset-592	354	11	b.	b.	PROPN
ajset-592	354	12	,	,	PUNCT
ajset-592	354	13	kutz	kutz	PROPN
ajset-592	354	14	,	,	PUNCT
ajset-592	354	15	j.	j.	PROPN
ajset-592	354	16	n.	n.	PROPN
ajset-592	354	17	,	,	PUNCT
ajset-592	354	18	and	and	CCONJ
ajset-592	354	19	brunton	brunton	PROPN
ajset-592	354	20	,	,	PUNCT
ajset-592	354	21	s.	s.	PROPN
ajset-592	354	22	l.	l.	PROPN
ajset-592	354	23	(	(	PUNCT
ajset-592	354	24	2018	2018	NUM
ajset-592	354	25	)	)	PUNCT
ajset-592	354	26	.	.	PUNCT
ajset-592	355	1	deep	deep	ADJ
ajset-592	355	2	learning	learning	NOUN
ajset-592	355	3	for	for	ADP
ajset-592	355	4	universal	universal	ADJ
ajset-592	355	5	linear	linear	ADJ
ajset-592	355	6	embeddings	embedding	NOUN
ajset-592	355	7	of	of	ADP
ajset-592	355	8	nonlinear	nonlinear	ADJ
ajset-592	355	9	dynamics	dynamic	NOUN
ajset-592	355	10	.	.	PUNCT
ajset-592	356	1	nature	nature	NOUN
ajset-592	356	2	communications	communication	NOUN
ajset-592	356	3	,	,	PUNCT
ajset-592	356	4	9(1	9(1	NUM
ajset-592	356	5	)	)	PUNCT
ajset-592	356	6	,	,	PUNCT
ajset-592	356	7	4950	4950	NUM
ajset-592	356	8	.	.	PUNCT
ajset-592	357	1	yeung	yeung	PROPN
ajset-592	357	2	,	,	PUNCT
ajset-592	357	3	e.	e.	PROPN
ajset-592	357	4	,	,	PUNCT
ajset-592	357	5	kundu	kundu	PROPN
ajset-592	357	6	,	,	PUNCT
ajset-592	357	7	s.	s.	PROPN
ajset-592	357	8	,	,	PUNCT
ajset-592	357	9	and	and	CCONJ
ajset-592	357	10	hodas	hoda	NOUN
ajset-592	357	11	,	,	PUNCT
ajset-592	357	12	n.	n.	NOUN
ajset-592	357	13	(	(	PUNCT
ajset-592	357	14	2019	2019	NUM
ajset-592	357	15	,	,	PUNCT
ajset-592	357	16	july	july	PROPN
ajset-592	357	17	)	)	PUNCT
ajset-592	357	18	.	.	PUNCT
ajset-592	358	1	learning	learn	VERB
ajset-592	358	2	deep	deep	ADJ
ajset-592	358	3	neural	neural	ADJ
ajset-592	358	4	network	network	NOUN
ajset-592	358	5	representations	representation	NOUN
ajset-592	358	6	for	for	ADP
ajset-592	358	7	koopman	koopman	PROPN
ajset-592	358	8	operators	operator	NOUN
ajset-592	358	9	of	of	ADP
ajset-592	358	10	nonlinear	nonlinear	ADJ
ajset-592	358	11	dynamical	dynamical	ADJ
ajset-592	358	12	systems	system	NOUN
ajset-592	358	13	.	.	PUNCT
ajset-592	359	1	in	in	ADP
ajset-592	359	2	2019	2019	NUM
ajset-592	359	3	american	american	PROPN
ajset-592	359	4	control	control	PROPN
ajset-592	359	5	conference	conference	PROPN
ajset-592	359	6	(	(	PUNCT
ajset-592	359	7	acc	acc	PROPN
ajset-592	359	8	)	)	PUNCT
ajset-592	359	9	(	(	PUNCT
ajset-592	359	10	pp	pp	ADP
ajset-592	359	11	.	.	PUNCT
ajset-592	359	12	48324839	48324839	NUM
ajset-592	359	13	)	)	PUNCT
ajset-592	359	14	.	.	PUNCT
ajset-592	360	1	ieee	ieee	PROPN
ajset-592	360	2	.	.	PUNCT
ajset-592	361	1	dubey	dubey	PROPN
ajset-592	361	2	,	,	PUNCT
ajset-592	361	3	r.	r.	PROPN
ajset-592	361	4	,	,	PUNCT
ajset-592	361	5	samantaray	samantaray	VERB
ajset-592	361	6	,	,	PUNCT
ajset-592	361	7	s.	s.	PROPN
ajset-592	361	8	r.	r.	PROPN
ajset-592	361	9	,	,	PUNCT
ajset-592	361	10	panigrahi	panigrahi	PROPN
ajset-592	361	11	,	,	PUNCT
ajset-592	361	12	b.	b.	PROPN
ajset-592	361	13	k.	k.	PROPN
ajset-592	361	14	,	,	PUNCT
ajset-592	361	15	and	and	CCONJ
ajset-592	361	16	venkoparao	venkoparao	NOUN
ajset-592	361	17	,	,	PUNCT
ajset-592	361	18	v.	v.	ADP
ajset-592	361	19	g.	g.	PROPN
ajset-592	361	20	(	(	PUNCT
ajset-592	361	21	2016	2016	NUM
ajset-592	361	22	)	)	PUNCT
ajset-592	361	23	.	.	PUNCT
ajset-592	362	1	koopman	koopman	NOUN
ajset-592	362	2	analysis	analysis	NOUN
ajset-592	362	3	based	base	VERB
ajset-592	362	4	widearea	widearea	NOUN
ajset-592	362	5	back	back	ADV
ajset-592	362	6	-	-	PUNCT
ajset-592	362	7	up	up	ADP
ajset-592	362	8	protection	protection	NOUN
ajset-592	362	9	and	and	CCONJ
ajset-592	362	10	faulted	fault	VERB
ajset-592	362	11	line	line	NOUN
ajset-592	362	12	identification	identification	NOUN
ajset-592	362	13	for	for	ADP
ajset-592	362	14	series	series	NOUN
ajset-592	362	15	-	-	PUNCT
ajset-592	362	16	compensated	compensate	VERB
ajset-592	362	17	power	power	NOUN
ajset-592	362	18	network	network	NOUN
ajset-592	362	19	.	.	PUNCT
ajset-592	363	1	ieee	ieee	NOUN
ajset-592	363	2	systems	systems	PROPN
ajset-592	363	3	journal	journal	PROPN
ajset-592	363	4	,	,	PUNCT
ajset-592	363	5	12(3	12(3	NUM
ajset-592	363	6	)	)	PUNCT
ajset-592	363	7	,	,	PUNCT
ajset-592	363	8	2634	2634	NUM
ajset-592	363	9	-	-	SYM
ajset-592	363	10	2644	2644	NUM
ajset-592	363	11	.	.	PUNCT
ajset-592	364	1	dang	dang	PROPN
ajset-592	364	2	,	,	PUNCT
ajset-592	364	3	z.	z.	PROPN
ajset-592	364	4	,	,	PUNCT
ajset-592	364	5	lv	lv	PROPN
ajset-592	364	6	,	,	PUNCT
ajset-592	364	7	y.	y.	PROPN
ajset-592	364	8	,	,	PUNCT
ajset-592	364	9	li	li	PROPN
ajset-592	364	10	,	,	PUNCT
ajset-592	364	11	y.	y.	PROPN
ajset-592	364	12	,	,	PUNCT
ajset-592	364	13	and	and	CCONJ
ajset-592	364	14	wei	wei	PROPN
ajset-592	364	15	,	,	PUNCT
ajset-592	364	16	g.	g.	PROPN
ajset-592	364	17	(	(	PUNCT
ajset-592	364	18	2018	2018	NUM
ajset-592	364	19	)	)	PUNCT
ajset-592	364	20	.	.	PUNCT
ajset-592	365	1	improved	improve	VERB
ajset-592	365	2	dynamic	dynamic	ADJ
ajset-592	365	3	mode	mode	NOUN
ajset-592	365	4	decomposition	decomposition	NOUN
ajset-592	365	5	and	and	CCONJ
ajset-592	365	6	its	its	PRON
ajset-592	365	7	application	application	NOUN
ajset-592	365	8	to	to	PART
ajset-592	365	9	fault	fault	VERB
ajset-592	365	10	diagnosis	diagnosis	NOUN
ajset-592	365	11	of	of	ADP
ajset-592	365	12	rolling	rolling	ADJ
ajset-592	365	13	bearing	bearing	NOUN
ajset-592	365	14	.	.	PUNCT
ajset-592	366	1	sensors	sensor	NOUN
ajset-592	366	2	,	,	PUNCT
ajset-592	366	3	18(6	18(6	NOUN
ajset-592	366	4	)	)	PUNCT
ajset-592	366	5	,	,	PUNCT
ajset-592	366	6	1972	1972	NUM
ajset-592	366	7	.	.	PUNCT
ajset-592	367	1	cheng	cheng	PROPN
ajset-592	367	2	,	,	PUNCT
ajset-592	367	3	c.	c.	PROPN
ajset-592	367	4	,	,	PUNCT
ajset-592	367	5	ding	ding	NOUN
ajset-592	367	6	,	,	PUNCT
ajset-592	367	7	j.	j.	PROPN
ajset-592	367	8	,	,	PUNCT
ajset-592	367	9	and	and	CCONJ
ajset-592	367	10	zhang	zhang	PROPN
ajset-592	367	11	,	,	PUNCT
ajset-592	367	12	y.	y.	PROPN
ajset-592	367	13	(	(	PUNCT
ajset-592	367	14	2020	2020	NUM
ajset-592	367	15	)	)	PUNCT
ajset-592	367	16	.	.	PUNCT
ajset-592	368	1	a	a	DET
ajset-592	368	2	koopman	koopman	NOUN
ajset-592	368	3	operator	operator	NOUN
ajset-592	368	4	approach	approach	NOUN
ajset-592	368	5	for	for	ADP
ajset-592	368	6	machinery	machinery	NOUN
ajset-592	368	7	health	health	NOUN
ajset-592	368	8	monitoring	monitoring	NOUN
ajset-592	368	9	and	and	CCONJ
ajset-592	368	10	prediction	prediction	NOUN
ajset-592	368	11	with	with	ADP
ajset-592	368	12	noisy	noisy	ADJ
ajset-592	368	13	and	and	CCONJ
ajset-592	368	14	low	low	ADV
ajset-592	368	15	-	-	PUNCT
ajset-592	368	16	dimensional	dimensional	ADJ
ajset-592	368	17	industrial	industrial	ADJ
ajset-592	368	18	time	time	NOUN
ajset-592	368	19	series	series	NOUN
ajset-592	368	20	.	.	PUNCT
ajset-592	369	1	neurocomputing	neurocomputing	NOUN
ajset-592	369	2	,	,	PUNCT
ajset-592	369	3	406	406	NUM
ajset-592	369	4	,	,	PUNCT
ajset-592	369	5	204	204	NUM
ajset-592	369	6	-	-	SYM
ajset-592	369	7	214	214	NUM
ajset-592	369	8	.	.	PUNCT
ajset-592	370	1	liu	liu	PROPN
ajset-592	370	2	,	,	PUNCT
ajset-592	370	3	b.	b.	PROPN
ajset-592	370	4	,	,	PUNCT
ajset-592	370	5	xiao	xiao	PROPN
ajset-592	370	6	,	,	PUNCT
ajset-592	370	7	y.	y.	PROPN
ajset-592	370	8	,	,	PUNCT
ajset-592	370	9	cao	cao	PROPN
ajset-592	370	10	,	,	PUNCT
ajset-592	370	11	l.	l.	PROPN
ajset-592	370	12	,	,	PUNCT
ajset-592	370	13	hao	hao	PROPN
ajset-592	370	14	,	,	PUNCT
ajset-592	370	15	z.	z.	PROPN
ajset-592	370	16	,	,	PUNCT
ajset-592	370	17	and	and	CCONJ
ajset-592	370	18	deng	deng	PROPN
ajset-592	370	19	,	,	PUNCT
ajset-592	370	20	f.	f.	PROPN
ajset-592	370	21	(	(	PUNCT
ajset-592	370	22	2013	2013	NUM
ajset-592	370	23	)	)	PUNCT
ajset-592	370	24	.	.	PUNCT
ajset-592	371	1	svdd	svdd	PROPN
ajset-592	371	2	-	-	PUNCT
ajset-592	371	3	based	base	VERB
ajset-592	371	4	outlier	outlier	NOUN
ajset-592	371	5	detection	detection	NOUN
ajset-592	371	6	on	on	ADP
ajset-592	371	7	uncertain	uncertain	ADJ
ajset-592	371	8	data	datum	NOUN
ajset-592	371	9	.	.	PUNCT
ajset-592	372	1	knowledge	knowledge	NOUN
ajset-592	372	2	and	and	CCONJ
ajset-592	372	3	information	information	NOUN
ajset-592	372	4	systems	system	NOUN
ajset-592	372	5	,	,	PUNCT
ajset-592	372	6	34	34	NUM
ajset-592	372	7	,	,	PUNCT
ajset-592	372	8	597	597	NUM
ajset-592	372	9	-	-	SYM
ajset-592	372	10	618	618	NUM
ajset-592	372	11	.	.	PUNCT
ajset-592	373	1	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	PROPN
ajset-592	373	2	academic	academic	ADJ
ajset-592	373	3	journal	journal	NOUN
ajset-592	373	4	of	of	ADP
ajset-592	373	5	science	science	NOUN
ajset-592	373	6	,	,	PUNCT
ajset-592	373	7	engineering	engineering	NOUN
ajset-592	373	8	and	and	CCONJ
ajset-592	373	9	technology	technology	NOUN
ajset-592	373	10	vol.7	vol.7	PROPN
ajset-592	373	11	,	,	PUNCT
ajset-592	373	12	issue	issue	NOUN
ajset-592	373	13	1	1	NUM
ajset-592	373	14	;	;	PUNCT
ajset-592	373	15	january	january	PROPN
ajset-592	373	16	febuary	febuary	PROPN
ajset-592	373	17	2022	2022	NUM
ajset-592	373	18	;	;	PUNCT
ajset-592	373	19	1252	1252	NUM
ajset-592	373	20	columbia	columbia	PROPN
ajset-592	373	21	rd	rd	PROPN
ajset-592	373	22	nw	nw	PROPN
ajset-592	373	23	,	,	PUNCT
ajset-592	373	24	washington	washington	PROPN
ajset-592	373	25	dc	dc	PROPN
ajset-592	373	26	,	,	PUNCT
ajset-592	373	27	united	united	PROPN
ajset-592	373	28	states	states	PROPN
ajset-592	373	29	https://topjournals.org/index.php/ajset/index	https://topjournals.org/index.php/ajset/index	PROPN
ajset-592	373	30	;	;	PUNCT
ajset-592	373	31	mail	mail	NOUN
ajset-592	373	32	:	:	PUNCT
ajset-592	373	33	topacademicjournals@gmail.com	topacademicjournals@gmail.com	X
ajset-592	374	1	29	29	NUM
ajset-592	375	1	|	|	ADV
ajset-592	375	2	a	a	DET
ajset-592	375	3	c	c	NOUN
ajset-592	375	4	a	a	PRON
ajset-592	375	5	d	d	X
ajset-592	375	6	e	e	NOUN
ajset-592	375	7	m	m	NOUN
ajset-592	375	8	i	i	NOUN
ajset-592	375	9	c	c	NOUN
ajset-592	375	10	j	j	NOUN
ajset-592	375	11	o	o	X
ajset-592	375	12	u	u	NOUN
ajset-592	375	13	r	r	NOUN
ajset-592	375	14	n	n	NOUN
ajset-592	375	15	a	a	DET
ajset-592	375	16	l	l	NOUN
ajset-592	376	1	o	o	X
ajset-592	376	2	f	f	X
ajset-592	376	3	s	s	X
ajset-592	376	4	c	c	NOUN
ajset-592	377	1	i	i	NOUN
ajset-592	377	2	e	e	PROPN
ajset-592	377	3	n	n	PROPN
ajset-592	377	4	c	c	NOUN
ajset-592	377	5	e	e	X
ajset-592	377	6	,	,	PUNCT
ajset-592	377	7	e	e	PROPN
ajset-592	377	8	n	n	PRON
ajset-592	377	9	g	g	NOUN
ajset-592	377	10	i	i	PRON
ajset-592	377	11	n	n	VERB
ajset-592	377	12	e	e	NOUN
ajset-592	377	13	e	e	NOUN
ajset-592	377	14	r	r	VERB
ajset-592	377	15	i	i	PRON
ajset-592	377	16	n	n	CCONJ
ajset-592	377	17	g	g	PROPN
ajset-592	377	18	a	a	DET
ajset-592	377	19	n	n	NOUN
ajset-592	377	20	d	d	NOUN
ajset-592	377	21	t	t	NOUN
ajset-592	377	22	e	e	X
ajset-592	377	23	c	c	NOUN
ajset-592	377	24	h	h	NOUN
ajset-592	377	25	n	n	ADV
ajset-592	377	26	o	o	NOUN
ajset-592	377	27	l	l	NOUN
ajset-592	378	1	o	o	X
ajset-592	378	2	g	g	NOUN
ajset-592	378	3	y	y	PROPN
ajset-592	378	4	|	|	ADV
ajset-592	378	5	https://topjournals.org/index.php/ajset	https://topjournals.org/index.php/ajset	VERB
ajset-592	378	6	larsson	larsson	PROPN
ajset-592	378	7	,	,	PUNCT
ajset-592	378	8	a.	a.	PROPN
ajset-592	378	9	j.	j.	PROPN
ajset-592	378	10	,	,	PUNCT
ajset-592	378	11	johnsson	johnsson	PROPN
ajset-592	378	12	,	,	PUNCT
ajset-592	378	13	p.	p.	PROPN
ajset-592	378	14	,	,	PUNCT
ajset-592	378	15	hagemann	hagemann	PROPN
ajset-592	378	16	-	-	PUNCT
ajset-592	378	17	jensen	jensen	PROPN
ajset-592	378	18	,	,	PUNCT
ajset-592	378	19	m.	m.	NOUN
ajset-592	378	20	,	,	PUNCT
ajset-592	378	21	hartmanis	hartmanis	PROPN
ajset-592	378	22	,	,	PUNCT
ajset-592	378	23	l.	l.	PROPN
ajset-592	378	24	,	,	PUNCT
ajset-592	378	25	faridani	faridani	PROPN
ajset-592	378	26	,	,	PUNCT
ajset-592	378	27	o.	o.	PROPN
ajset-592	378	28	r.	r.	PROPN
ajset-592	378	29	,	,	PUNCT
ajset-592	378	30	reinius	reinius	PROPN
ajset-592	378	31	,	,	PUNCT
ajset-592	378	32	b.	b.	PROPN
ajset-592	378	33	,	,	PUNCT
ajset-592	378	34	and	and	CCONJ
ajset-592	378	35	sandberg	sandberg	PROPN
ajset-592	378	36	,	,	PUNCT
ajset-592	378	37	r.	r.	PROPN
ajset-592	378	38	(	(	PUNCT
ajset-592	378	39	2019	2019	NUM
ajset-592	378	40	)	)	PUNCT
ajset-592	378	41	.	.	PUNCT
ajset-592	379	1	genomic	genomic	NOUN
ajset-592	379	2	encoding	encoding	NOUN
ajset-592	379	3	of	of	ADP
ajset-592	379	4	transcriptional	transcriptional	ADJ
ajset-592	379	5	burst	burst	ADJ
ajset-592	379	6	kinetics	kinetic	NOUN
ajset-592	379	7	.	.	PUNCT
ajset-592	380	1	nature	nature	NOUN
ajset-592	380	2	,	,	PUNCT
ajset-592	380	3	565(7738	565(7738	NUM
ajset-592	380	4	)	)	PUNCT
ajset-592	380	5	,	,	PUNCT
ajset-592	380	6	251254	251254	NUM
ajset-592	380	7	.	.	PUNCT
ajset-592	381	1	cao	cao	PROPN
ajset-592	381	2	,	,	PUNCT
ajset-592	381	3	z.	z.	PROPN
ajset-592	381	4	,	,	PUNCT
ajset-592	381	5	and	and	CCONJ
ajset-592	381	6	grima	grima	PROPN
ajset-592	381	7	,	,	PUNCT
ajset-592	381	8	r.	r.	PROPN
ajset-592	381	9	(	(	PUNCT
ajset-592	381	10	2020	2020	NUM
ajset-592	381	11	)	)	PUNCT
ajset-592	381	12	.	.	PUNCT
ajset-592	382	1	analytical	analytical	ADJ
ajset-592	382	2	distributions	distribution	NOUN
ajset-592	382	3	for	for	ADP
ajset-592	382	4	detailed	detailed	ADJ
ajset-592	382	5	models	model	NOUN
ajset-592	382	6	of	of	ADP
ajset-592	382	7	stochastic	stochastic	ADJ
ajset-592	382	8	gene	gene	NOUN
ajset-592	382	9	expression	expression	NOUN
ajset-592	382	10	in	in	ADP
ajset-592	382	11	eukaryotic	eukaryotic	ADJ
ajset-592	382	12	cells	cell	NOUN
ajset-592	382	13	.	.	PUNCT
ajset-592	383	1	proceedings	proceeding	NOUN
ajset-592	383	2	of	of	ADP
ajset-592	383	3	the	the	DET
ajset-592	383	4	national	national	PROPN
ajset-592	383	5	academy	academy	PROPN
ajset-592	383	6	of	of	ADP
ajset-592	383	7	sciences	sciences	PROPN
ajset-592	383	8	,	,	PUNCT
ajset-592	383	9	117(9	117(9	NUM
ajset-592	383	10	)	)	PUNCT
ajset-592	383	11	,	,	PUNCT
ajset-592	383	12	4682	4682	NUM
ajset-592	383	13	-	-	SYM
ajset-592	383	14	4692	4692	NUM
ajset-592	383	15	.	.	PUNCT
ajset-592	384	1	[	[	X
ajset-592	384	2	41	41	NUM
ajset-592	384	3	]	]	X
ajset-592	384	4	gillespie	gillespie	PROPN
ajset-592	384	5	,	,	PUNCT
ajset-592	384	6	d.	d.	PROPN
ajset-592	384	7	t.	t.	PROPN
ajset-592	384	8	(	(	PUNCT
ajset-592	384	9	1977	1977	NUM
ajset-592	384	10	)	)	PUNCT
ajset-592	384	11	.	.	PUNCT
ajset-592	385	1	exact	exact	ADJ
ajset-592	385	2	stochastic	stochastic	ADJ
ajset-592	385	3	simulation	simulation	NOUN
ajset-592	385	4	of	of	ADP
ajset-592	385	5	coupled	couple	VERB
ajset-592	385	6	chemical	chemical	NOUN
ajset-592	385	7	reactions	reaction	NOUN
ajset-592	385	8	.	.	PUNCT
ajset-592	386	1	the	the	DET
ajset-592	386	2	journal	journal	NOUN
ajset-592	386	3	of	of	ADP
ajset-592	386	4	physical	physical	ADJ
ajset-592	386	5	chemistry	chemistry	NOUN
ajset-592	386	6	,	,	PUNCT
ajset-592	386	7	81(25	81(25	NUM
ajset-592	386	8	)	)	PUNCT
ajset-592	386	9	,	,	PUNCT
ajset-592	386	10	2340	2340	NUM
ajset-592	386	11	-	-	SYM
ajset-592	386	12	2361	2361	NUM
ajset-592	386	13	.	.	PUNCT
ajset-592	387	1	fu	fu	ADJ
ajset-592	387	2	,	,	PUNCT
ajset-592	387	3	x.	x.	PROPN
ajset-592	387	4	,	,	PUNCT
ajset-592	387	5	zhou	zhou	PROPN
ajset-592	387	6	,	,	PUNCT
ajset-592	387	7	x.	x.	PROPN
ajset-592	387	8	,	,	PUNCT
ajset-592	387	9	gu	gu	PROPN
ajset-592	387	10	,	,	PUNCT
ajset-592	387	11	d.	d.	PROPN
ajset-592	387	12	,	,	PUNCT
ajset-592	387	13	cao	cao	PROPN
ajset-592	387	14	,	,	PUNCT
ajset-592	387	15	z.	z.	PROPN
ajset-592	387	16	,	,	PUNCT
ajset-592	387	17	and	and	CCONJ
ajset-592	387	18	grima	grima	PROPN
ajset-592	387	19	,	,	PUNCT
ajset-592	387	20	r.	r.	PROPN
ajset-592	387	21	(	(	PUNCT
ajset-592	387	22	2022	2022	NUM
ajset-592	387	23	)	)	PUNCT
ajset-592	387	24	.	.	PUNCT
ajset-592	388	1	delayssatoolkit	delayssatoolkit	NOUN
ajset-592	388	2	.	.	PUNCT
ajset-592	389	1	jl	jl	NOUN
ajset-592	389	2	:	:	PUNCT
ajset-592	389	3	stochastic	stochastic	ADJ
ajset-592	389	4	simulation	simulation	NOUN
ajset-592	389	5	of	of	ADP
ajset-592	389	6	reaction	reaction	NOUN
ajset-592	389	7	systems	system	NOUN
ajset-592	389	8	with	with	ADP
ajset-592	389	9	time	time	NOUN
ajset-592	389	10	delays	delay	NOUN
ajset-592	389	11	in	in	ADP
ajset-592	389	12	julia	julia	PROPN
ajset-592	389	13	.	.	PUNCT
ajset-592	390	1	bioinformatics	bioinformatic	NOUN
ajset-592	390	2	,	,	PUNCT
ajset-592	390	3	38(17	38(17	PROPN
ajset-592	390	4	)	)	PUNCT
ajset-592	390	5	,	,	PUNCT
ajset-592	390	6	4243	4243	NUM
ajset-592	390	7	-	-	SYM
ajset-592	390	8	4245	4245	NUM
ajset-592	390	9	.	.	PUNCT
ajset-592	391	1	brunton	brunton	PROPN
ajset-592	391	2	,	,	PUNCT
ajset-592	391	3	s.	s.	PROPN
ajset-592	391	4	l.	l.	PROPN
ajset-592	391	5	,	,	PUNCT
ajset-592	391	6	budišić	budišić	PROPN
ajset-592	391	7	,	,	PUNCT
ajset-592	391	8	m.	m.	NOUN
ajset-592	391	9	,	,	PUNCT
ajset-592	391	10	kaiser	kaiser	PROPN
ajset-592	391	11	,	,	PUNCT
ajset-592	391	12	e.	e.	PROPN
ajset-592	391	13	,	,	PUNCT
ajset-592	391	14	and	and	CCONJ
ajset-592	391	15	kutz	kutz	PROPN
ajset-592	391	16	,	,	PUNCT
ajset-592	391	17	j.	j.	PROPN
ajset-592	391	18	n.	n.	PROPN
ajset-592	391	19	(	(	PUNCT
ajset-592	391	20	2021	2021	NUM
ajset-592	391	21	)	)	PUNCT
ajset-592	391	22	.	.	PUNCT
ajset-592	392	1	modern	modern	ADJ
ajset-592	392	2	koopman	koopman	PROPN
ajset-592	392	3	theory	theory	NOUN
ajset-592	392	4	for	for	ADP
ajset-592	392	5	dynamical	dynamical	ADJ
ajset-592	392	6	systems	system	NOUN
ajset-592	392	7	.	.	PUNCT
ajset-592	393	1	arxiv	arxiv	PROPN
ajset-592	393	2	preprint	preprint	NOUN
ajset-592	393	3	arxiv:2102.12086	arxiv:2102.12086	PROPN
ajset-592	393	4	.	.	PUNCT
ajset-592	394	1	cao	cao	PROPN
ajset-592	394	2	,	,	PUNCT
ajset-592	394	3	z.	z.	PROPN
ajset-592	394	4	,	,	PUNCT
ajset-592	394	5	and	and	CCONJ
ajset-592	394	6	grima	grima	PROPN
ajset-592	394	7	,	,	PUNCT
ajset-592	394	8	r.	r.	PROPN
ajset-592	394	9	(	(	PUNCT
ajset-592	394	10	2018	2018	NUM
ajset-592	394	11	)	)	PUNCT
ajset-592	394	12	.	.	PUNCT
ajset-592	395	1	linear	linear	ADJ
ajset-592	395	2	mapping	mapping	NOUN
ajset-592	395	3	approximation	approximation	NOUN
ajset-592	395	4	of	of	ADP
ajset-592	395	5	gene	gene	NOUN
ajset-592	395	6	regulatory	regulatory	ADJ
ajset-592	395	7	networks	network	NOUN
ajset-592	395	8	with	with	ADP
ajset-592	395	9	stochastic	stochastic	ADJ
ajset-592	395	10	dynamics	dynamic	NOUN
ajset-592	395	11	.	.	PUNCT
ajset-592	396	1	nature	nature	NOUN
ajset-592	396	2	communications	communication	NOUN
ajset-592	396	3	,	,	PUNCT
ajset-592	396	4	9(1	9(1	NUM
ajset-592	396	5	)	)	PUNCT
ajset-592	396	6	,	,	PUNCT
ajset-592	396	7	3305	3305	NUM
ajset-592	396	8	.	.	PUNCT
ajset-592	397	1	mailto:topacademicjournals@gmail.com	mailto:topacademicjournals@gmail.com	X