id	sid	tid	token	lemma	pos
ajst-29855	1	1	academic	academic	ADJ
ajst-29855	1	2	journal	journal	NOUN
ajst-29855	1	3	of	of	ADP
ajst-29855	1	4	science	science	NOUN
ajst-29855	1	5	and	and	CCONJ
ajst-29855	1	6	technology	technology	NOUN
ajst-29855	1	7	issn	issn	NOUN
ajst-29855	1	8	:	:	PUNCT
ajst-29855	1	9	2771	2771	NUM
ajst-29855	1	10	-	-	SYM
ajst-29855	1	11	3032	3032	NUM
ajst-29855	1	12	|	|	NOUN
ajst-29855	1	13	vol	vol	NOUN
ajst-29855	1	14	.	.	PUNCT
ajst-29855	2	1	14	14	NUM
ajst-29855	2	2	,	,	PUNCT
ajst-29855	2	3	no	no	INTJ
ajst-29855	2	4	.	.	NOUN
ajst-29855	2	5	2	2	NUM
ajst-29855	2	6	,	,	PUNCT
ajst-29855	2	7	2025	2025	NUM
ajst-29855	2	8	47	47	NUM
ajst-29855	2	9	research	research	NOUN
ajst-29855	2	10	on	on	ADP
ajst-29855	2	11	drilling	drill	VERB
ajst-29855	2	12	fluid	fluid	ADJ
ajst-29855	2	13	flocculation	flocculation	NOUN
ajst-29855	2	14	identification	identification	NOUN
ajst-29855	2	15	method	method	NOUN
ajst-29855	2	16	based	base	VERB
ajst-29855	2	17	on	on	ADP
ajst-29855	2	18	improved	improved	ADJ
ajst-29855	2	19	resnet50	resnet50	NOUN
ajst-29855	2	20	model	model	NOUN
ajst-29855	2	21	min	min	PROPN
ajst-29855	2	22	wan1	wan1	PROPN
ajst-29855	2	23	,	,	PUNCT
ajst-29855	2	24	huaibang	huaibang	PROPN
ajst-29855	2	25	zhang1	zhang1	PROPN
ajst-29855	2	26	and	and	CCONJ
ajst-29855	2	27	xin	xin	PROPN
ajst-29855	2	28	yang2	yang2	NOUN
ajst-29855	3	1	1school	1school	NUM
ajst-29855	3	2	of	of	ADP
ajst-29855	3	3	mechatronic	mechatronic	ADJ
ajst-29855	3	4	engineering	engineering	NOUN
ajst-29855	3	5	,	,	PUNCT
ajst-29855	3	6	southwest	southwest	ADJ
ajst-29855	3	7	petroleum	petroleum	PROPN
ajst-29855	3	8	university	university	PROPN
ajst-29855	3	9	,	,	PUNCT
ajst-29855	3	10	chengdu	chengdu	PROPN
ajst-29855	3	11	610500	610500	NUM
ajst-29855	3	12	,	,	PUNCT
ajst-29855	3	13	china	china	PROPN
ajst-29855	3	14	2school	2school	NUM
ajst-29855	3	15	of	of	ADP
ajst-29855	3	16	electrical	electrical	ADJ
ajst-29855	3	17	engineering	engineering	NOUN
ajst-29855	3	18	and	and	CCONJ
ajst-29855	3	19	information	information	NOUN
ajst-29855	3	20	,	,	PUNCT
ajst-29855	3	21	southwest	southwest	ADJ
ajst-29855	3	22	petroleum	petroleum	PROPN
ajst-29855	3	23	university	university	PROPN
ajst-29855	3	24	,	,	PUNCT
ajst-29855	3	25	chengdu	chengdu	PROPN
ajst-29855	3	26	610500	610500	NUM
ajst-29855	3	27	,	,	PUNCT
ajst-29855	3	28	china	china	PROPN
ajst-29855	3	29	abstract	abstract	NOUN
ajst-29855	3	30	:	:	PUNCT
ajst-29855	3	31	aiming	aim	VERB
ajst-29855	3	32	at	at	ADP
ajst-29855	3	33	the	the	DET
ajst-29855	3	34	problems	problem	NOUN
ajst-29855	3	35	of	of	ADP
ajst-29855	3	36	low	low	ADJ
ajst-29855	3	37	accuracy	accuracy	NOUN
ajst-29855	3	38	and	and	CCONJ
ajst-29855	3	39	high	high	ADJ
ajst-29855	3	40	labor	labor	NOUN
ajst-29855	3	41	cost	cost	NOUN
ajst-29855	3	42	of	of	ADP
ajst-29855	3	43	traditional	traditional	ADJ
ajst-29855	3	44	methods	method	NOUN
ajst-29855	3	45	for	for	ADP
ajst-29855	3	46	identifying	identify	VERB
ajst-29855	3	47	the	the	DET
ajst-29855	3	48	flocculation	flocculation	NOUN
ajst-29855	3	49	state	state	NOUN
ajst-29855	3	50	of	of	ADP
ajst-29855	3	51	drilling	drill	VERB
ajst-29855	3	52	fluid	fluid	ADJ
ajst-29855	3	53	waste	waste	NOUN
ajst-29855	3	54	,	,	PUNCT
ajst-29855	3	55	this	this	DET
ajst-29855	3	56	paper	paper	NOUN
ajst-29855	3	57	proposes	propose	VERB
ajst-29855	3	58	a	a	DET
ajst-29855	3	59	method	method	NOUN
ajst-29855	3	60	for	for	ADP
ajst-29855	3	61	identifying	identify	VERB
ajst-29855	3	62	the	the	DET
ajst-29855	3	63	flocculation	flocculation	NOUN
ajst-29855	3	64	state	state	NOUN
ajst-29855	3	65	of	of	ADP
ajst-29855	3	66	drilling	drill	VERB
ajst-29855	3	67	fluid	fluid	ADJ
ajst-29855	3	68	waste	waste	NOUN
ajst-29855	3	69	based	base	VERB
ajst-29855	3	70	on	on	ADP
ajst-29855	3	71	the	the	DET
ajst-29855	3	72	improved	improved	ADJ
ajst-29855	3	73	resnet50	resnet50	NOUN
ajst-29855	3	74	model	model	NOUN
ajst-29855	3	75	.	.	PUNCT
ajst-29855	4	1	by	by	ADP
ajst-29855	4	2	building	build	VERB
ajst-29855	4	3	a	a	DET
ajst-29855	4	4	flocculation	flocculation	NOUN
ajst-29855	4	5	acquisition	acquisition	NOUN
ajst-29855	4	6	system	system	NOUN
ajst-29855	4	7	to	to	PART
ajst-29855	4	8	obtain	obtain	VERB
ajst-29855	4	9	image	image	NOUN
ajst-29855	4	10	data	datum	NOUN
ajst-29855	4	11	under	under	ADP
ajst-29855	4	12	different	different	ADJ
ajst-29855	4	13	flocculation	flocculation	NOUN
ajst-29855	4	14	states	state	NOUN
ajst-29855	4	15	and	and	CCONJ
ajst-29855	4	16	carrying	carry	VERB
ajst-29855	4	17	out	out	ADP
ajst-29855	4	18	data	datum	NOUN
ajst-29855	4	19	enhancement	enhancement	NOUN
ajst-29855	4	20	,	,	PUNCT
ajst-29855	4	21	the	the	DET
ajst-29855	4	22	original	original	ADJ
ajst-29855	4	23	resnet50	resnet50	NOUN
ajst-29855	4	24	model	model	NOUN
ajst-29855	4	25	is	be	AUX
ajst-29855	4	26	used	use	VERB
ajst-29855	4	27	as	as	ADP
ajst-29855	4	28	the	the	DET
ajst-29855	4	29	base	base	NOUN
ajst-29855	4	30	model	model	NOUN
ajst-29855	4	31	,	,	PUNCT
ajst-29855	4	32	based	base	VERB
ajst-29855	4	33	on	on	ADP
ajst-29855	4	34	which	which	PRON
ajst-29855	4	35	the	the	DET
ajst-29855	4	36	gam	gam	ADJ
ajst-29855	4	37	global	global	ADJ
ajst-29855	4	38	attention	attention	NOUN
ajst-29855	4	39	mechanism	mechanism	NOUN
ajst-29855	4	40	is	be	AUX
ajst-29855	4	41	introduced	introduce	VERB
ajst-29855	4	42	to	to	PART
ajst-29855	4	43	enhance	enhance	VERB
ajst-29855	4	44	the	the	DET
ajst-29855	4	45	ability	ability	NOUN
ajst-29855	4	46	to	to	PART
ajst-29855	4	47	extract	extract	VERB
ajst-29855	4	48	useful	useful	ADJ
ajst-29855	4	49	information	information	NOUN
ajst-29855	4	50	in	in	ADP
ajst-29855	4	51	the	the	DET
ajst-29855	4	52	flocculation	flocculation	NOUN
ajst-29855	4	53	image	image	NOUN
ajst-29855	4	54	,	,	PUNCT
ajst-29855	4	55	and	and	CCONJ
ajst-29855	4	56	combined	combine	VERB
ajst-29855	4	57	with	with	ADP
ajst-29855	4	58	the	the	DET
ajst-29855	4	59	dimensional	dimensional	ADJ
ajst-29855	4	60	dynamic	dynamic	ADJ
ajst-29855	4	61	convolution	convolution	NOUN
ajst-29855	4	62	of	of	ADP
ajst-29855	4	63	the	the	DET
ajst-29855	4	64	odconv	odconv	NOUN
ajst-29855	4	65	to	to	PART
ajst-29855	4	66	strengthen	strengthen	VERB
ajst-29855	4	67	the	the	DET
ajst-29855	4	68	network	network	NOUN
ajst-29855	4	69	's	's	PART
ajst-29855	4	70	generalization	generalization	NOUN
ajst-29855	4	71	ability	ability	NOUN
ajst-29855	4	72	and	and	CCONJ
ajst-29855	4	73	adaptability	adaptability	NOUN
ajst-29855	4	74	,	,	PUNCT
ajst-29855	4	75	to	to	PART
ajst-29855	4	76	achieve	achieve	VERB
ajst-29855	4	77	intelligent	intelligent	ADJ
ajst-29855	4	78	identification	identification	NOUN
ajst-29855	4	79	of	of	ADP
ajst-29855	4	80	flocculation	flocculation	NOUN
ajst-29855	4	81	state	state	NOUN
ajst-29855	4	82	of	of	ADP
ajst-29855	4	83	the	the	DET
ajst-29855	4	84	drilling	drilling	NOUN
ajst-29855	4	85	fluid	fluid	ADJ
ajst-29855	4	86	waste	waste	NOUN
ajst-29855	4	87	liquid	liquid	NOUN
ajst-29855	4	88	.	.	PUNCT
ajst-29855	5	1	experiments	experiment	NOUN
ajst-29855	5	2	are	be	AUX
ajst-29855	5	3	conducted	conduct	VERB
ajst-29855	5	4	on	on	ADP
ajst-29855	5	5	6935	6935	NUM
ajst-29855	5	6	flocculated	flocculated	ADJ
ajst-29855	5	7	image	image	NOUN
ajst-29855	5	8	datasets	dataset	NOUN
ajst-29855	5	9	,	,	PUNCT
ajst-29855	5	10	and	and	CCONJ
ajst-29855	5	11	the	the	DET
ajst-29855	5	12	results	result	NOUN
ajst-29855	5	13	show	show	VERB
ajst-29855	5	14	that	that	SCONJ
ajst-29855	5	15	the	the	DET
ajst-29855	5	16	h	h	NOUN
ajst-29855	5	17	-	-	PUNCT
ajst-29855	5	18	resnet50	resnet50	NOUN
ajst-29855	5	19	model	model	NOUN
ajst-29855	5	20	designed	design	VERB
ajst-29855	5	21	in	in	ADP
ajst-29855	5	22	this	this	DET
ajst-29855	5	23	paper	paper	NOUN
ajst-29855	5	24	achieves	achieve	VERB
ajst-29855	5	25	classification	classification	NOUN
ajst-29855	5	26	accuracies	accuracy	NOUN
ajst-29855	5	27	of	of	ADP
ajst-29855	5	28	99.57	99.57	NUM
ajst-29855	5	29	%	%	NOUN
ajst-29855	5	30	and	and	CCONJ
ajst-29855	5	31	99.16	99.16	NUM
ajst-29855	5	32	%	%	NOUN
ajst-29855	5	33	on	on	ADP
ajst-29855	5	34	the	the	DET
ajst-29855	5	35	training	training	NOUN
ajst-29855	5	36	and	and	CCONJ
ajst-29855	5	37	test	test	NOUN
ajst-29855	5	38	sets	set	NOUN
ajst-29855	5	39	,	,	PUNCT
ajst-29855	5	40	respectively	respectively	ADV
ajst-29855	5	41	,	,	PUNCT
ajst-29855	5	42	which	which	PRON
ajst-29855	5	43	are	be	AUX
ajst-29855	5	44	higher	high	ADJ
ajst-29855	5	45	than	than	ADP
ajst-29855	5	46	the	the	DET
ajst-29855	5	47	classification	classification	NOUN
ajst-29855	5	48	accuracies	accuracy	NOUN
ajst-29855	5	49	of	of	ADP
ajst-29855	5	50	the	the	DET
ajst-29855	5	51	original	original	ADJ
ajst-29855	5	52	resnet50	resnet50	NOUN
ajst-29855	5	53	model	model	NOUN
ajst-29855	5	54	and	and	CCONJ
ajst-29855	5	55	other	other	ADJ
ajst-29855	5	56	common	common	ADJ
ajst-29855	5	57	neural	neural	ADJ
ajst-29855	5	58	network	network	NOUN
ajst-29855	5	59	models	model	NOUN
ajst-29855	5	60	.	.	PUNCT
ajst-29855	6	1	overall	overall	ADJ
ajst-29855	6	2	,	,	PUNCT
ajst-29855	6	3	h	h	NOUN
ajst-29855	6	4	-	-	PUNCT
ajst-29855	6	5	resnet50	resnet50	NOUN
ajst-29855	6	6	can	can	AUX
ajst-29855	6	7	efficiently	efficiently	ADV
ajst-29855	6	8	and	and	CCONJ
ajst-29855	6	9	correctly	correctly	ADV
ajst-29855	6	10	identify	identify	VERB
ajst-29855	6	11	the	the	DET
ajst-29855	6	12	flocculation	flocculation	NOUN
ajst-29855	6	13	status	status	NOUN
ajst-29855	6	14	of	of	ADP
ajst-29855	6	15	drilling	drill	VERB
ajst-29855	6	16	fluid	fluid	ADJ
ajst-29855	6	17	waste	waste	NOUN
ajst-29855	6	18	liquid	liquid	NOUN
ajst-29855	6	19	,	,	PUNCT
ajst-29855	6	20	which	which	PRON
ajst-29855	6	21	provides	provide	VERB
ajst-29855	6	22	the	the	DET
ajst-29855	6	23	possibility	possibility	NOUN
ajst-29855	6	24	of	of	ADP
ajst-29855	6	25	moving	move	VERB
ajst-29855	6	26	towards	towards	ADP
ajst-29855	6	27	intelligent	intelligent	ADJ
ajst-29855	6	28	flocculation	flocculation	NOUN
ajst-29855	6	29	treatment	treatment	NOUN
ajst-29855	6	30	of	of	ADP
ajst-29855	6	31	drilling	drilling	NOUN
ajst-29855	6	32	fluid	fluid	ADJ
ajst-29855	6	33	waste	waste	NOUN
ajst-29855	6	34	liquid	liquid	NOUN
ajst-29855	6	35	.	.	PUNCT
ajst-29855	7	1	keywords	keyword	NOUN
ajst-29855	7	2	:	:	PUNCT
ajst-29855	7	3	image	image	NOUN
ajst-29855	7	4	classification	classification	NOUN
ajst-29855	7	5	;	;	PUNCT
ajst-29855	7	6	flocculation	flocculation	NOUN
ajst-29855	7	7	identification	identification	NOUN
ajst-29855	7	8	;	;	PUNCT
ajst-29855	7	9	deep	deep	ADJ
ajst-29855	7	10	learning	learning	NOUN
ajst-29855	7	11	;	;	PUNCT
ajst-29855	7	12	attention	attention	NOUN
ajst-29855	7	13	mechanism	mechanism	NOUN
ajst-29855	7	14	;	;	PUNCT
ajst-29855	7	15	multidimensional	multidimensional	ADJ
ajst-29855	7	16	dynamic	dynamic	ADJ
ajst-29855	7	17	convolution	convolution	NOUN
ajst-29855	7	18	.	.	PUNCT
ajst-29855	8	1	1	1	X
ajst-29855	8	2	.	.	X
ajst-29855	8	3	introduction	introduction	NOUN
ajst-29855	8	4	oil	oil	NOUN
ajst-29855	8	5	occupies	occupy	VERB
ajst-29855	8	6	an	an	DET
ajst-29855	8	7	extremely	extremely	ADV
ajst-29855	8	8	critical	critical	ADJ
ajst-29855	8	9	energy	energy	NOUN
ajst-29855	8	10	position	position	NOUN
ajst-29855	8	11	in	in	ADP
ajst-29855	8	12	our	our	PRON
ajst-29855	8	13	country	country	NOUN
ajst-29855	8	14	and	and	CCONJ
ajst-29855	8	15	is	be	AUX
ajst-29855	8	16	regarded	regard	VERB
ajst-29855	8	17	as	as	ADP
ajst-29855	8	18	the	the	DET
ajst-29855	8	19	"	"	PUNCT
ajst-29855	8	20	black	black	ADJ
ajst-29855	8	21	blood	blood	NOUN
ajst-29855	8	22	"	"	PUNCT
ajst-29855	8	23	of	of	ADP
ajst-29855	8	24	development	development	NOUN
ajst-29855	8	25	and	and	CCONJ
ajst-29855	8	26	the	the	DET
ajst-29855	8	27	pillar	pillar	NOUN
ajst-29855	8	28	of	of	ADP
ajst-29855	8	29	economic	economic	ADJ
ajst-29855	8	30	operation	operation	NOUN
ajst-29855	8	31	.	.	PUNCT
ajst-29855	9	1	at	at	ADP
ajst-29855	9	2	present	present	ADJ
ajst-29855	9	3	,	,	PUNCT
ajst-29855	9	4	china	china	PROPN
ajst-29855	9	5	's	's	PART
ajst-29855	9	6	petroleum	petroleum	NOUN
ajst-29855	9	7	exploitation	exploitation	NOUN
ajst-29855	9	8	industry	industry	NOUN
ajst-29855	9	9	is	be	AUX
ajst-29855	9	10	entering	enter	VERB
ajst-29855	9	11	a	a	DET
ajst-29855	9	12	critical	critical	ADJ
ajst-29855	9	13	period	period	NOUN
ajst-29855	9	14	of	of	ADP
ajst-29855	9	15	technological	technological	ADJ
ajst-29855	9	16	innovation	innovation	NOUN
ajst-29855	9	17	and	and	CCONJ
ajst-29855	9	18	strategic	strategic	ADJ
ajst-29855	9	19	transformation	transformation	NOUN
ajst-29855	9	20	,	,	PUNCT
ajst-29855	9	21	showing	show	VERB
ajst-29855	9	22	a	a	DET
ajst-29855	9	23	new	new	ADJ
ajst-29855	9	24	trend	trend	NOUN
ajst-29855	9	25	of	of	ADP
ajst-29855	9	26	diversified	diversified	ADJ
ajst-29855	9	27	and	and	CCONJ
ajst-29855	9	28	high	high	ADJ
ajst-29855	9	29	-	-	PUNCT
ajst-29855	9	30	quality	quality	NOUN
ajst-29855	9	31	development	development	NOUN
ajst-29855	9	32	.	.	PUNCT
ajst-29855	10	1	drilling	drilling	NOUN
ajst-29855	10	2	fluid	fluid	NOUN
ajst-29855	10	3	plays	play	VERB
ajst-29855	10	4	a	a	DET
ajst-29855	10	5	vital	vital	ADJ
ajst-29855	10	6	role	role	NOUN
ajst-29855	10	7	in	in	ADP
ajst-29855	10	8	the	the	DET
ajst-29855	10	9	oil	oil	NOUN
ajst-29855	10	10	production	production	NOUN
ajst-29855	10	11	phase	phase	NOUN
ajst-29855	10	12	,	,	PUNCT
ajst-29855	10	13	it	it	PRON
ajst-29855	10	14	is	be	AUX
ajst-29855	10	15	the	the	DET
ajst-29855	10	16	lifeline	lifeline	NOUN
ajst-29855	10	17	to	to	PART
ajst-29855	10	18	ensure	ensure	VERB
ajst-29855	10	19	the	the	DET
ajst-29855	10	20	smooth	smooth	ADJ
ajst-29855	10	21	drilling	drilling	NOUN
ajst-29855	10	22	process1	process1	NOUN
ajst-29855	10	23	,	,	PUNCT
ajst-29855	10	24	2	2	X
ajst-29855	10	25	.	.	X
ajst-29855	10	26	drilling	drilling	NOUN
ajst-29855	10	27	fluid	fluid	NOUN
ajst-29855	10	28	is	be	AUX
ajst-29855	10	29	a	a	DET
ajst-29855	10	30	complex	complex	ADJ
ajst-29855	10	31	mixture	mixture	NOUN
ajst-29855	10	32	,	,	PUNCT
ajst-29855	10	33	mainly	mainly	ADV
ajst-29855	10	34	composed	compose	VERB
ajst-29855	10	35	of	of	ADP
ajst-29855	10	36	water	water	NOUN
ajst-29855	10	37	or	or	CCONJ
ajst-29855	10	38	oil	oil	NOUN
ajst-29855	10	39	-	-	PUNCT
ajst-29855	10	40	based	base	VERB
ajst-29855	10	41	liquid	liquid	NOUN
ajst-29855	10	42	,	,	PUNCT
ajst-29855	10	43	and	and	CCONJ
ajst-29855	10	44	various	various	ADJ
ajst-29855	10	45	additives	additive	NOUN
ajst-29855	10	46	(	(	PUNCT
ajst-29855	10	47	such	such	ADJ
ajst-29855	10	48	as	as	ADP
ajst-29855	10	49	clay	clay	NOUN
ajst-29855	10	50	,	,	PUNCT
ajst-29855	10	51	chemical	chemical	NOUN
ajst-29855	10	52	treatment	treatment	NOUN
ajst-29855	10	53	agents	agent	NOUN
ajst-29855	10	54	,	,	PUNCT
ajst-29855	10	55	lubricants	lubricant	NOUN
ajst-29855	10	56	,	,	PUNCT
ajst-29855	10	57	etc.)3	etc.)3	NOUN
ajst-29855	10	58	-	-	PUNCT
ajst-29855	10	59	5	5	NUM
ajst-29855	10	60	.	.	PUNCT
ajst-29855	10	61	with	with	ADP
ajst-29855	10	62	the	the	DET
ajst-29855	10	63	advancement	advancement	NOUN
ajst-29855	10	64	of	of	ADP
ajst-29855	10	65	technology	technology	NOUN
ajst-29855	10	66	,	,	PUNCT
ajst-29855	10	67	modern	modern	ADJ
ajst-29855	10	68	drilling	drilling	NOUN
ajst-29855	10	69	fluid	fluid	NOUN
ajst-29855	10	70	technology	technology	NOUN
ajst-29855	10	71	pays	pay	VERB
ajst-29855	10	72	more	more	ADJ
ajst-29855	10	73	attention	attention	NOUN
ajst-29855	10	74	to	to	ADP
ajst-29855	10	75	environmental	environmental	ADJ
ajst-29855	10	76	protection	protection	NOUN
ajst-29855	10	77	and	and	CCONJ
ajst-29855	10	78	efficiency	efficiency	NOUN
ajst-29855	10	79	,	,	PUNCT
ajst-29855	10	80	such	such	ADJ
ajst-29855	10	81	as	as	ADP
ajst-29855	10	82	using	use	VERB
ajst-29855	10	83	closed	closed	ADJ
ajst-29855	10	84	-	-	PUNCT
ajst-29855	10	85	loop	loop	NOUN
ajst-29855	10	86	systems	system	NOUN
ajst-29855	10	87	to	to	PART
ajst-29855	10	88	recycle	recycle	VERB
ajst-29855	10	89	drilling	drilling	NOUN
ajst-29855	10	90	fluid	fluid	NOUN
ajst-29855	10	91	to	to	PART
ajst-29855	10	92	reduce	reduce	VERB
ajst-29855	10	93	environmental	environmental	ADJ
ajst-29855	10	94	pollution6	pollution6	NOUN
ajst-29855	10	95	and	and	CCONJ
ajst-29855	10	96	the	the	DET
ajst-29855	10	97	development	development	NOUN
ajst-29855	10	98	of	of	ADP
ajst-29855	10	99	new	new	ADJ
ajst-29855	10	100	environmentally	environmentally	ADV
ajst-29855	10	101	friendly	friendly	ADJ
ajst-29855	10	102	additives	additive	NOUN
ajst-29855	10	103	to	to	PART
ajst-29855	10	104	reduce	reduce	VERB
ajst-29855	10	105	the	the	DET
ajst-29855	10	106	ecological	ecological	ADJ
ajst-29855	10	107	impact7	impact7	PROPN
ajst-29855	10	108	.	.	PUNCT
ajst-29855	11	1	the	the	DET
ajst-29855	11	2	core	core	NOUN
ajst-29855	11	3	of	of	ADP
ajst-29855	11	4	the	the	DET
ajst-29855	11	5	harmless	harmless	ADJ
ajst-29855	11	6	treatment	treatment	NOUN
ajst-29855	11	7	of	of	ADP
ajst-29855	11	8	waste	waste	NOUN
ajst-29855	11	9	drilling	drilling	NOUN
ajst-29855	11	10	fluid	fluid	NOUN
ajst-29855	11	11	is	be	AUX
ajst-29855	11	12	to	to	PART
ajst-29855	11	13	minimize	minimize	VERB
ajst-29855	11	14	the	the	DET
ajst-29855	11	15	negative	negative	ADJ
ajst-29855	11	16	impact	impact	NOUN
ajst-29855	11	17	of	of	ADP
ajst-29855	11	18	drilling	drilling	NOUN
ajst-29855	11	19	activities	activity	NOUN
ajst-29855	11	20	on	on	ADP
ajst-29855	11	21	the	the	DET
ajst-29855	11	22	environment	environment	NOUN
ajst-29855	11	23	and	and	CCONJ
ajst-29855	11	24	ensure	ensure	VERB
ajst-29855	11	25	the	the	DET
ajst-29855	11	26	rational	rational	ADJ
ajst-29855	11	27	use	use	NOUN
ajst-29855	11	28	of	of	ADP
ajst-29855	11	29	resources	resource	NOUN
ajst-29855	11	30	and	and	CCONJ
ajst-29855	11	31	the	the	DET
ajst-29855	11	32	harmonious	harmonious	ADJ
ajst-29855	11	33	coexistence	coexistence	NOUN
ajst-29855	11	34	of	of	ADP
ajst-29855	11	35	an	an	DET
ajst-29855	11	36	ecological	ecological	ADJ
ajst-29855	11	37	environment	environment	NOUN
ajst-29855	11	38	.	.	PUNCT
ajst-29855	12	1	the	the	DET
ajst-29855	12	2	solid	solid	ADJ
ajst-29855	12	3	-	-	PUNCT
ajst-29855	12	4	liquid	liquid	ADJ
ajst-29855	12	5	separation	separation	NOUN
ajst-29855	12	6	method	method	NOUN
ajst-29855	12	7	is	be	AUX
ajst-29855	12	8	based	base	VERB
ajst-29855	12	9	on	on	ADP
ajst-29855	12	10	the	the	DET
ajst-29855	12	11	fact	fact	NOUN
ajst-29855	12	12	that	that	SCONJ
ajst-29855	12	13	there	there	PRON
ajst-29855	12	14	is	be	VERB
ajst-29855	12	15	a	a	DET
ajst-29855	12	16	certain	certain	ADJ
ajst-29855	12	17	solid	solid	ADJ
ajst-29855	12	18	phase	phase	NOUN
ajst-29855	12	19	in	in	ADP
ajst-29855	12	20	the	the	DET
ajst-29855	12	21	waste	waste	NOUN
ajst-29855	12	22	drilling	drilling	NOUN
ajst-29855	12	23	fluid	fluid	NOUN
ajst-29855	12	24	,	,	PUNCT
ajst-29855	12	25	and	and	CCONJ
ajst-29855	12	26	a	a	DET
ajst-29855	12	27	complex	complex	ADJ
ajst-29855	12	28	flocculation	flocculation	NOUN
ajst-29855	12	29	reaction	reaction	NOUN
ajst-29855	12	30	occurs	occur	VERB
ajst-29855	12	31	by	by	ADP
ajst-29855	12	32	adding	add	VERB
ajst-29855	12	33	flocculants	flocculant	NOUN
ajst-29855	12	34	to	to	PART
ajst-29855	12	35	reduce	reduce	VERB
ajst-29855	12	36	its	its	PRON
ajst-29855	12	37	leachability	leachability	NOUN
ajst-29855	12	38	and	and	CCONJ
ajst-29855	12	39	prevent	prevent	VERB
ajst-29855	12	40	the	the	DET
ajst-29855	12	41	migration	migration	NOUN
ajst-29855	12	42	and	and	CCONJ
ajst-29855	12	43	expansion	expansion	NOUN
ajst-29855	12	44	of	of	ADP
ajst-29855	12	45	harmful	harmful	ADJ
ajst-29855	12	46	components	component	NOUN
ajst-29855	12	47	.	.	PUNCT
ajst-29855	13	1	after	after	ADP
ajst-29855	13	2	filtration	filtration	NOUN
ajst-29855	13	3	by	by	ADP
ajst-29855	13	4	the	the	DET
ajst-29855	13	5	filter	filter	NOUN
ajst-29855	13	6	press	press	NOUN
ajst-29855	13	7	,	,	PUNCT
ajst-29855	13	8	the	the	DET
ajst-29855	13	9	cured	cure	VERB
ajst-29855	13	10	product	product	NOUN
ajst-29855	13	11	can	can	AUX
ajst-29855	13	12	be	be	AUX
ajst-29855	13	13	used	use	VERB
ajst-29855	13	14	as	as	ADP
ajst-29855	13	15	a	a	DET
ajst-29855	13	16	building	building	NOUN
ajst-29855	13	17	material	material	NOUN
ajst-29855	13	18	,	,	PUNCT
ajst-29855	13	19	on	on	ADP
ajst-29855	13	20	the	the	DET
ajst-29855	13	21	other	other	ADJ
ajst-29855	13	22	hand	hand	NOUN
ajst-29855	13	23	,	,	PUNCT
ajst-29855	13	24	the	the	DET
ajst-29855	13	25	filtrate	filtrate	NOUN
ajst-29855	13	26	can	can	AUX
ajst-29855	13	27	be	be	AUX
ajst-29855	13	28	used	use	VERB
ajst-29855	13	29	for	for	ADP
ajst-29855	13	30	recycling	recycling	NOUN
ajst-29855	13	31	,	,	PUNCT
ajst-29855	13	32	which	which	PRON
ajst-29855	13	33	is	be	AUX
ajst-29855	13	34	considered	consider	VERB
ajst-29855	13	35	to	to	PART
ajst-29855	13	36	be	be	AUX
ajst-29855	13	37	a	a	DET
ajst-29855	13	38	practical	practical	ADJ
ajst-29855	13	39	and	and	CCONJ
ajst-29855	13	40	environmentally	environmentally	ADV
ajst-29855	13	41	friendly	friendly	ADJ
ajst-29855	13	42	means	mean	NOUN
ajst-29855	13	43	of	of	ADP
ajst-29855	13	44	drilling	drill	VERB
ajst-29855	13	45	fluid	fluid	NOUN
ajst-29855	13	46	treatment8	treatment8	NOUN
ajst-29855	13	47	,	,	PUNCT
ajst-29855	13	48	9	9	NUM
ajst-29855	13	49	.	.	PUNCT
ajst-29855	14	1	in	in	ADP
ajst-29855	14	2	this	this	DET
ajst-29855	14	3	process	process	NOUN
ajst-29855	14	4	,	,	PUNCT
ajst-29855	14	5	the	the	DET
ajst-29855	14	6	flocculation	flocculation	NOUN
ajst-29855	14	7	effect	effect	NOUN
ajst-29855	14	8	of	of	ADP
ajst-29855	14	9	waste	waste	NOUN
ajst-29855	14	10	drilling	drilling	NOUN
ajst-29855	14	11	fluid	fluid	NOUN
ajst-29855	14	12	will	will	AUX
ajst-29855	14	13	directly	directly	ADV
ajst-29855	14	14	affect	affect	VERB
ajst-29855	14	15	the	the	DET
ajst-29855	14	16	subsequent	subsequent	ADJ
ajst-29855	14	17	treatment	treatment	NOUN
ajst-29855	14	18	effect	effect	NOUN
ajst-29855	14	19	.	.	PUNCT
ajst-29855	15	1	therefore	therefore	ADV
ajst-29855	15	2	,	,	PUNCT
ajst-29855	15	3	how	how	SCONJ
ajst-29855	15	4	to	to	PART
ajst-29855	15	5	efficiently	efficiently	ADV
ajst-29855	15	6	and	and	CCONJ
ajst-29855	15	7	accurately	accurately	ADV
ajst-29855	15	8	identify	identify	VERB
ajst-29855	15	9	the	the	DET
ajst-29855	15	10	flocculation	flocculation	NOUN
ajst-29855	15	11	effect	effect	NOUN
ajst-29855	15	12	of	of	ADP
ajst-29855	15	13	waste	waste	NOUN
ajst-29855	15	14	drilling	drilling	NOUN
ajst-29855	15	15	fluid	fluid	NOUN
ajst-29855	15	16	and	and	CCONJ
ajst-29855	15	17	adjust	adjust	VERB
ajst-29855	15	18	the	the	DET
ajst-29855	15	19	dosage	dosage	NOUN
ajst-29855	15	20	of	of	ADP
ajst-29855	15	21	flocculant	flocculant	NOUN
ajst-29855	15	22	in	in	ADP
ajst-29855	15	23	real	real	ADJ
ajst-29855	15	24	-	-	PUNCT
ajst-29855	15	25	time	time	NOUN
ajst-29855	15	26	is	be	AUX
ajst-29855	15	27	the	the	DET
ajst-29855	15	28	most	most	ADV
ajst-29855	15	29	pending	pending	ADJ
ajst-29855	15	30	problem	problem	NOUN
ajst-29855	15	31	.	.	PUNCT
ajst-29855	16	1	at	at	ADP
ajst-29855	16	2	present	present	ADJ
ajst-29855	16	3	,	,	PUNCT
ajst-29855	16	4	the	the	DET
ajst-29855	16	5	flocculation	flocculation	NOUN
ajst-29855	16	6	identification	identification	NOUN
ajst-29855	16	7	of	of	ADP
ajst-29855	16	8	waste	waste	NOUN
ajst-29855	16	9	drilling	drilling	NOUN
ajst-29855	16	10	fluid	fluid	NOUN
ajst-29855	16	11	mainly	mainly	ADV
ajst-29855	16	12	relies	rely	VERB
ajst-29855	16	13	on	on	ADP
ajst-29855	16	14	manual	manual	ADJ
ajst-29855	16	15	experience	experience	NOUN
ajst-29855	16	16	to	to	PART
ajst-29855	16	17	determine	determine	VERB
ajst-29855	16	18	the	the	DET
ajst-29855	16	19	degree	degree	NOUN
ajst-29855	16	20	of	of	ADP
ajst-29855	16	21	flocculation	flocculation	NOUN
ajst-29855	16	22	,	,	PUNCT
ajst-29855	16	23	which	which	PRON
ajst-29855	16	24	is	be	AUX
ajst-29855	16	25	highly	highly	ADV
ajst-29855	16	26	subjective	subjective	ADJ
ajst-29855	16	27	,	,	PUNCT
ajst-29855	16	28	prone	prone	ADJ
ajst-29855	16	29	to	to	ADP
ajst-29855	16	30	misjudgment	misjudgment	NOUN
ajst-29855	16	31	,	,	PUNCT
ajst-29855	16	32	and	and	CCONJ
ajst-29855	16	33	high	high	ADJ
ajst-29855	16	34	labor	labor	NOUN
ajst-29855	16	35	cost	cost	NOUN
ajst-29855	16	36	.	.	PUNCT
ajst-29855	17	1	in	in	ADP
ajst-29855	17	2	other	other	ADJ
ajst-29855	17	3	flocculation	flocculation	NOUN
ajst-29855	17	4	identification	identification	NOUN
ajst-29855	17	5	,	,	PUNCT
ajst-29855	17	6	such	such	ADJ
ajst-29855	17	7	as	as	ADP
ajst-29855	17	8	water	water	NOUN
ajst-29855	17	9	purification	purification	NOUN
ajst-29855	17	10	flocculation	flocculation	NOUN
ajst-29855	17	11	,	,	PUNCT
ajst-29855	17	12	coal	coal	NOUN
ajst-29855	17	13	slime	slime	NOUN
ajst-29855	17	14	water	water	NOUN
ajst-29855	17	15	flocculation	flocculation	NOUN
ajst-29855	17	16	,	,	PUNCT
ajst-29855	17	17	and	and	CCONJ
ajst-29855	17	18	other	other	ADJ
ajst-29855	17	19	flocculation	flocculation	NOUN
ajst-29855	17	20	fields	field	NOUN
ajst-29855	17	21	,	,	PUNCT
ajst-29855	17	22	there	there	PRON
ajst-29855	17	23	are	be	VERB
ajst-29855	17	24	more	more	ADV
ajst-29855	17	25	methods10	methods10	NOUN
ajst-29855	17	26	-	-	PUNCT
ajst-29855	17	27	15	15	NUM
ajst-29855	17	28	.	.	PUNCT
ajst-29855	18	1	eshel	eshel	PROPN
ajst-29855	18	2	,	,	PUNCT
ajst-29855	18	3	g.	g.	PROPN
ajst-29855	18	4	for	for	ADP
ajst-29855	18	5	particle	particle	NOUN
ajst-29855	18	6	size	size	NOUN
ajst-29855	18	7	distribution	distribution	NOUN
ajst-29855	18	8	analysis	analysis	NOUN
ajst-29855	18	9	by	by	ADP
ajst-29855	18	10	laser	laser	NOUN
ajst-29855	18	11	diffraction	diffraction	NOUN
ajst-29855	18	12	,	,	PUNCT
ajst-29855	18	13	this	this	DET
ajst-29855	18	14	method	method	NOUN
ajst-29855	18	15	provides	provide	VERB
ajst-29855	18	16	a	a	DET
ajst-29855	18	17	continuous	continuous	ADJ
ajst-29855	18	18	psd	psd	NOUN
ajst-29855	18	19	curve	curve	NOUN
ajst-29855	18	20	,	,	PUNCT
ajst-29855	18	21	allows	allow	VERB
ajst-29855	18	22	detailed	detailed	ADJ
ajst-29855	18	23	data	datum	NOUN
ajst-29855	18	24	analysis	analysis	NOUN
ajst-29855	18	25	,	,	PUNCT
ajst-29855	18	26	and	and	CCONJ
ajst-29855	18	27	can	can	AUX
ajst-29855	18	28	be	be	AUX
ajst-29855	18	29	flexibly	flexibly	ADV
ajst-29855	18	30	applied	apply	VERB
ajst-29855	18	31	to	to	ADP
ajst-29855	18	32	classification	classification	NOUN
ajst-29855	18	33	systems	system	NOUN
ajst-29855	18	34	with	with	ADP
ajst-29855	18	35	different	different	ADJ
ajst-29855	18	36	floc	floc	NOUN
ajst-29855	18	37	sizes16	sizes16	NOUN
ajst-29855	18	38	.	.	PUNCT
ajst-29855	19	1	however	however	ADV
ajst-29855	19	2	,	,	PUNCT
ajst-29855	19	3	the	the	DET
ajst-29855	19	4	waste	waste	NOUN
ajst-29855	19	5	fluid	fluid	NOUN
ajst-29855	19	6	of	of	ADP
ajst-29855	19	7	drilling	drilling	NOUN
ajst-29855	19	8	fluid	fluid	NOUN
ajst-29855	19	9	has	have	VERB
ajst-29855	19	10	high	high	ADJ
ajst-29855	19	11	turbidity	turbidity	NOUN
ajst-29855	19	12	and	and	CCONJ
ajst-29855	19	13	poor	poor	ADJ
ajst-29855	19	14	light	light	ADJ
ajst-29855	19	15	transmittance	transmittance	NOUN
ajst-29855	19	16	,	,	PUNCT
ajst-29855	19	17	so	so	SCONJ
ajst-29855	19	18	this	this	DET
ajst-29855	19	19	method	method	NOUN
ajst-29855	19	20	is	be	AUX
ajst-29855	19	21	not	not	PART
ajst-29855	19	22	suitable	suitable	ADJ
ajst-29855	19	23	for	for	ADP
ajst-29855	19	24	the	the	DET
ajst-29855	19	25	identification	identification	NOUN
ajst-29855	19	26	of	of	ADP
ajst-29855	19	27	waste	waste	NOUN
ajst-29855	19	28	drilling	drilling	NOUN
ajst-29855	19	29	fluid	fluid	NOUN
ajst-29855	19	30	flocculation	flocculation	NOUN
ajst-29855	19	31	.	.	PUNCT
ajst-29855	20	1	furukawa	furukawa	PROPN
ajst-29855	20	2	,	,	PUNCT
ajst-29855	20	3	yoko	yoko	PROPN
ajst-29855	20	4	investigated	investigate	VERB
ajst-29855	20	5	the	the	DET
ajst-29855	20	6	effect	effect	NOUN
ajst-29855	20	7	of	of	ADP
ajst-29855	20	8	organic	organic	ADJ
ajst-29855	20	9	matter	matter	NOUN
ajst-29855	20	10	(	(	PUNCT
ajst-29855	20	11	om	om	PROPN
ajst-29855	20	12	)	)	PUNCT
ajst-29855	20	13	on	on	ADP
ajst-29855	20	14	the	the	DET
ajst-29855	20	15	flocculation	flocculation	NOUN
ajst-29855	20	16	of	of	ADP
ajst-29855	20	17	colloidal	colloidal	NOUN
ajst-29855	20	18	montmorillonite	montmorillonite	NOUN
ajst-29855	20	19	through	through	ADP
ajst-29855	20	20	laboratory	laboratory	NOUN
ajst-29855	20	21	experiments	experiment	NOUN
ajst-29855	20	22	and	and	CCONJ
ajst-29855	20	23	computational	computational	ADJ
ajst-29855	20	24	flocculation	flocculation	NOUN
ajst-29855	20	25	modeling	modeling	NOUN
ajst-29855	20	26	.	.	PUNCT
ajst-29855	21	1	based	base	VERB
ajst-29855	21	2	on	on	ADP
ajst-29855	21	3	the	the	DET
ajst-29855	21	4	smoluchowski	smoluchowski	NOUN
ajst-29855	21	5	coagulation	coagulation	NOUN
ajst-29855	21	6	model	model	NOUN
ajst-29855	21	7	and	and	CCONJ
ajst-29855	21	8	population	population	NOUN
ajst-29855	21	9	balance	balance	NOUN
ajst-29855	21	10	equation	equation	NOUN
ajst-29855	21	11	(	(	PUNCT
ajst-29855	21	12	pbe	pbe	PROPN
ajst-29855	21	13	)	)	PUNCT
ajst-29855	21	14	,	,	PUNCT
ajst-29855	21	15	the	the	DET
ajst-29855	21	16	model	model	NOUN
ajst-29855	21	17	established	establish	VERB
ajst-29855	21	18	two	two	NUM
ajst-29855	21	19	key	key	ADJ
ajst-29855	21	20	flocculation	flocculation	NOUN
ajst-29855	21	21	parameters	parameter	NOUN
ajst-29855	21	22	:	:	PUNCT
ajst-29855	21	23	adhesion	adhesion	NOUN
ajst-29855	21	24	efficiency	efficiency	NOUN
ajst-29855	21	25	and	and	CCONJ
ajst-29855	21	26	decomposition	decomposition	NOUN
ajst-29855	21	27	parameters	parameter	NOUN
ajst-29855	21	28	.	.	PUNCT
ajst-29855	22	1	interactive	interactive	ADJ
ajst-29855	22	2	optimization	optimization	NOUN
ajst-29855	22	3	of	of	ADP
ajst-29855	22	4	the	the	DET
ajst-29855	22	5	model	model	NOUN
ajst-29855	22	6	results17	results17	PROPN
ajst-29855	22	7	.	.	PUNCT
ajst-29855	23	1	however	however	ADV
ajst-29855	23	2	,	,	PUNCT
ajst-29855	23	3	the	the	DET
ajst-29855	23	4	generalization	generalization	NOUN
ajst-29855	23	5	of	of	ADP
ajst-29855	23	6	this	this	DET
ajst-29855	23	7	method	method	NOUN
ajst-29855	23	8	is	be	AUX
ajst-29855	23	9	poor	poor	ADJ
ajst-29855	23	10	and	and	CCONJ
ajst-29855	23	11	it	it	PRON
ajst-29855	23	12	lacks	lack	VERB
ajst-29855	23	13	the	the	DET
ajst-29855	23	14	ability	ability	NOUN
ajst-29855	23	15	of	of	ADP
ajst-29855	23	16	independent	independent	ADJ
ajst-29855	23	17	learning	learning	NOUN
ajst-29855	23	18	.	.	PUNCT
ajst-29855	24	1	with	with	ADP
ajst-29855	24	2	the	the	DET
ajst-29855	24	3	continuous	continuous	ADJ
ajst-29855	24	4	development	development	NOUN
ajst-29855	24	5	of	of	ADP
ajst-29855	24	6	technology	technology	NOUN
ajst-29855	24	7	,	,	PUNCT
ajst-29855	24	8	more	more	ADJ
ajst-29855	24	9	and	and	CCONJ
ajst-29855	24	10	more	more	ADJ
ajst-29855	24	11	researchers	researcher	NOUN
ajst-29855	24	12	calculate	calculate	VERB
ajst-29855	24	13	the	the	DET
ajst-29855	24	14	characteristics	characteristic	NOUN
ajst-29855	24	15	of	of	ADP
ajst-29855	24	16	flocs	floc	NOUN
ajst-29855	24	17	by	by	ADP
ajst-29855	24	18	taking	take	VERB
ajst-29855	24	19	images	image	NOUN
ajst-29855	24	20	related	relate	VERB
ajst-29855	24	21	to	to	ADP
ajst-29855	24	22	flocculation	flocculation	NOUN
ajst-29855	24	23	.	.	PUNCT
ajst-29855	25	1	pengfei	pengfei	PROPN
ajst-29855	25	2	ren	ren	PROPN
ajst-29855	25	3	used	use	VERB
ajst-29855	25	4	an	an	DET
ajst-29855	25	5	in	in	ADP
ajst-29855	25	6	situ	situ	ADJ
ajst-29855	25	7	identification	identification	NOUN
ajst-29855	25	8	system	system	NOUN
ajst-29855	25	9	to	to	PART
ajst-29855	25	10	analyze	analyze	VERB
ajst-29855	25	11	the	the	DET
ajst-29855	25	12	particle	particle	NOUN
ajst-29855	25	13	size	size	NOUN
ajst-29855	25	14	,	,	PUNCT
ajst-29855	25	15	boundary	boundary	ADJ
ajst-29855	25	16	fractal	fractal	ADJ
ajst-29855	25	17	dimension	dimension	NOUN
ajst-29855	25	18	,	,	PUNCT
ajst-29855	25	19	and	and	CCONJ
ajst-29855	25	20	eccentricity	eccentricity	NOUN
ajst-29855	25	21	ratio	ratio	NOUN
ajst-29855	25	22	of	of	ADP
ajst-29855	25	23	the	the	DET
ajst-29855	25	24	flocs	floc	NOUN
ajst-29855	25	25	and	and	CCONJ
ajst-29855	25	26	concluded	conclude	VERB
ajst-29855	25	27	that	that	SCONJ
ajst-29855	25	28	excess	excess	ADJ
ajst-29855	25	29	flocculants	flocculant	NOUN
ajst-29855	25	30	would	would	AUX
ajst-29855	25	31	form	form	VERB
ajst-29855	25	32	flocs	floc	NOUN
ajst-29855	25	33	with	with	ADP
ajst-29855	25	34	more	more	ADJ
ajst-29855	25	35	chain	chain	NOUN
ajst-29855	25	36	and	and	CCONJ
ajst-29855	25	37	branched	branched	ADJ
ajst-29855	25	38	structures	structure	NOUN
ajst-29855	25	39	,	,	PUNCT
ajst-29855	25	40	limiting	limit	VERB
ajst-29855	25	41	further	further	ADJ
ajst-29855	25	42	growth	growth	NOUN
ajst-29855	25	43	of	of	ADP
ajst-29855	25	44	the	the	DET
ajst-29855	25	45	flocs	floc	NOUN
ajst-29855	25	46	in	in	ADP
ajst-29855	25	47	the	the	DET
ajst-29855	25	48	subsequent	subsequent	ADJ
ajst-29855	25	49	flocculation18	flocculation18	NOUN
ajst-29855	25	50	.	.	PUNCT
ajst-29855	26	1	benson	benson	PROPN
ajst-29855	26	2	t	t	PROPN
ajst-29855	26	3	designed	design	VERB
ajst-29855	26	4	a	a	DET
ajst-29855	26	5	low	low	ADJ
ajst-29855	26	6	-	-	PUNCT
ajst-29855	26	7	cost	cost	NOUN
ajst-29855	26	8	particle	particle	NOUN
ajst-29855	26	9	size	size	NOUN
ajst-29855	26	10	recognition	recognition	NOUN
ajst-29855	26	11	system	system	NOUN
ajst-29855	26	12	,	,	PUNCT
ajst-29855	26	13	the	the	PRON
ajst-29855	26	14	in	in	ADP
ajst-29855	26	15	situ	situ	ADJ
ajst-29855	26	16	particle	particle	NOUN
ajst-29855	26	17	imaging	imaging	NOUN
ajst-29855	26	18	device	device	NOUN
ajst-29855	26	19	(	(	PUNCT
ajst-29855	26	20	insipid	insipid	ADJ
ajst-29855	26	21	)	)	PUNCT
ajst-29855	26	22	,	,	PUNCT
ajst-29855	26	23	which	which	PRON
ajst-29855	26	24	combines	combine	VERB
ajst-29855	26	25	dual	dual	ADJ
ajst-29855	26	26	ccd	ccd	NOUN
ajst-29855	26	27	cameras	camera	NOUN
ajst-29855	26	28	and	and	CCONJ
ajst-29855	26	29	fully	fully	ADV
ajst-29855	26	30	automated	automate	VERB
ajst-29855	26	31	digital	digital	ADJ
ajst-29855	26	32	image	image	NOUN
ajst-29855	26	33	acquisition	acquisition	NOUN
ajst-29855	26	34	and	and	CCONJ
ajst-29855	26	35	processing	process	VERB
ajst-29855	26	36	48	48	NUM
ajst-29855	26	37	algorithms	algorithm	NOUN
ajst-29855	26	38	to	to	PART
ajst-29855	26	39	efficiently	efficiently	ADV
ajst-29855	26	40	identify	identify	VERB
ajst-29855	26	41	particle	particle	NOUN
ajst-29855	26	42	size19	size19	NOUN
ajst-29855	26	43	.	.	PUNCT
ajst-29855	27	1	in	in	ADP
ajst-29855	27	2	summary	summary	NOUN
ajst-29855	27	3	,	,	PUNCT
ajst-29855	27	4	there	there	PRON
ajst-29855	27	5	are	be	VERB
ajst-29855	27	6	many	many	ADJ
ajst-29855	27	7	methods	method	NOUN
ajst-29855	27	8	of	of	ADP
ajst-29855	27	9	flocculation	flocculation	NOUN
ajst-29855	27	10	identification	identification	NOUN
ajst-29855	27	11	at	at	ADP
ajst-29855	27	12	present	present	ADJ
ajst-29855	27	13	,	,	PUNCT
ajst-29855	27	14	and	and	CCONJ
ajst-29855	27	15	each	each	PRON
ajst-29855	27	16	has	have	VERB
ajst-29855	27	17	its	its	PRON
ajst-29855	27	18	advantages	advantage	NOUN
ajst-29855	27	19	and	and	CCONJ
ajst-29855	27	20	disadvantages	disadvantage	NOUN
ajst-29855	27	21	.	.	PUNCT
ajst-29855	28	1	image	image	NOUN
ajst-29855	28	2	recognition	recognition	NOUN
ajst-29855	28	3	technology	technology	NOUN
ajst-29855	28	4	based	base	VERB
ajst-29855	28	5	on	on	ADP
ajst-29855	28	6	computer	computer	NOUN
ajst-29855	28	7	vision	vision	NOUN
ajst-29855	28	8	has	have	AUX
ajst-29855	28	9	further	far	ADV
ajst-29855	28	10	improved	improve	VERB
ajst-29855	28	11	the	the	DET
ajst-29855	28	12	speed	speed	NOUN
ajst-29855	28	13	and	and	CCONJ
ajst-29855	28	14	accuracy	accuracy	NOUN
ajst-29855	28	15	of	of	ADP
ajst-29855	28	16	recognition	recognition	NOUN
ajst-29855	28	17	,	,	PUNCT
ajst-29855	28	18	and	and	CCONJ
ajst-29855	28	19	the	the	DET
ajst-29855	28	20	emergence	emergence	NOUN
ajst-29855	28	21	of	of	ADP
ajst-29855	28	22	deep	deep	ADJ
ajst-29855	28	23	learning	learning	NOUN
ajst-29855	28	24	technology	technology	NOUN
ajst-29855	28	25	has	have	AUX
ajst-29855	28	26	provided	provide	VERB
ajst-29855	28	27	more	more	ADJ
ajst-29855	28	28	ideas	idea	NOUN
ajst-29855	28	29	for	for	ADP
ajst-29855	28	30	flocculation	flocculation	NOUN
ajst-29855	28	31	recognition20	recognition20	NOUN
ajst-29855	28	32	-	-	PUNCT
ajst-29855	28	33	23	23	NUM
ajst-29855	28	34	.	.	PUNCT
ajst-29855	29	1	based	base	VERB
ajst-29855	29	2	on	on	ADP
ajst-29855	29	3	the	the	DET
ajst-29855	29	4	resnet-50	resnet-50	PROPN
ajst-29855	29	5	network	network	NOUN
ajst-29855	29	6	,	,	PUNCT
ajst-29855	29	7	the	the	DET
ajst-29855	29	8	following	follow	VERB
ajst-29855	29	9	improvements	improvement	NOUN
ajst-29855	29	10	were	be	AUX
ajst-29855	29	11	made	make	VERB
ajst-29855	29	12	in	in	ADP
ajst-29855	29	13	this	this	DET
ajst-29855	29	14	paper	paper	NOUN
ajst-29855	29	15	according	accord	VERB
ajst-29855	29	16	to	to	ADP
ajst-29855	29	17	the	the	DET
ajst-29855	29	18	characteristics	characteristic	NOUN
ajst-29855	29	19	of	of	ADP
ajst-29855	29	20	the	the	DET
ajst-29855	29	21	flocculation	flocculation	NOUN
ajst-29855	29	22	image	image	NOUN
ajst-29855	29	23	of	of	ADP
ajst-29855	29	24	water	water	NOUN
ajst-29855	29	25	-	-	PUNCT
ajst-29855	29	26	based	base	VERB
ajst-29855	29	27	drilling	drilling	NOUN
ajst-29855	29	28	fluid	fluid	ADJ
ajst-29855	29	29	waste	waste	NOUN
ajst-29855	29	30	.	.	PUNCT
ajst-29855	30	1	first	first	ADV
ajst-29855	30	2	,	,	PUNCT
ajst-29855	30	3	the	the	DET
ajst-29855	30	4	odconv	odconv	ADJ
ajst-29855	30	5	convolutional	convolutional	ADJ
ajst-29855	30	6	module	module	NOUN
ajst-29855	30	7	was	be	AUX
ajst-29855	30	8	introduced	introduce	VERB
ajst-29855	30	9	while	while	SCONJ
ajst-29855	30	10	the	the	DET
ajst-29855	30	11	last	last	ADJ
ajst-29855	30	12	set	set	NOUN
ajst-29855	30	13	of	of	ADP
ajst-29855	30	14	residual	residual	ADJ
ajst-29855	30	15	structures	structure	NOUN
ajst-29855	30	16	was	be	AUX
ajst-29855	30	17	reduced	reduce	VERB
ajst-29855	30	18	.	.	PUNCT
ajst-29855	31	1	secondly	secondly	ADV
ajst-29855	31	2	,	,	PUNCT
ajst-29855	31	3	gam	gam	NOUN
ajst-29855	31	4	attention	attention	NOUN
ajst-29855	31	5	modules	module	NOUN
ajst-29855	31	6	are	be	AUX
ajst-29855	31	7	inserted	insert	VERB
ajst-29855	31	8	between	between	ADP
ajst-29855	31	9	residual	residual	ADJ
ajst-29855	31	10	blocks	block	NOUN
ajst-29855	31	11	to	to	PART
ajst-29855	31	12	efficiently	efficiently	ADV
ajst-29855	31	13	aggregate	aggregate	VERB
ajst-29855	31	14	flocculation	flocculation	NOUN
ajst-29855	31	15	features	feature	NOUN
ajst-29855	31	16	and	and	CCONJ
ajst-29855	31	17	improve	improve	VERB
ajst-29855	31	18	reconstruction	reconstruction	NOUN
ajst-29855	31	19	performance	performance	NOUN
ajst-29855	31	20	.	.	PUNCT
ajst-29855	32	1	the	the	DET
ajst-29855	32	2	improved	improved	ADJ
ajst-29855	32	3	h	h	ADJ
ajst-29855	32	4	-	-	PUNCT
ajst-29855	32	5	resnet-50	resnet-50	ADJ
ajst-29855	32	6	network	network	NOUN
ajst-29855	32	7	model	model	NOUN
ajst-29855	32	8	realizes	realize	VERB
ajst-29855	32	9	a	a	DET
ajst-29855	32	10	more	more	ADV
ajst-29855	32	11	accurate	accurate	ADJ
ajst-29855	32	12	and	and	CCONJ
ajst-29855	32	13	efficient	efficient	ADJ
ajst-29855	32	14	identification	identification	NOUN
ajst-29855	32	15	of	of	ADP
ajst-29855	32	16	the	the	DET
ajst-29855	32	17	flocculation	flocculation	NOUN
ajst-29855	32	18	state	state	NOUN
ajst-29855	32	19	of	of	ADP
ajst-29855	32	20	the	the	DET
ajst-29855	32	21	three	three	NUM
ajst-29855	32	22	kinds	kind	NOUN
ajst-29855	32	23	of	of	ADP
ajst-29855	32	24	drilling	drilling	NOUN
ajst-29855	32	25	fluid	fluid	ADJ
ajst-29855	32	26	waste	waste	NOUN
ajst-29855	32	27	,	,	PUNCT
ajst-29855	32	28	which	which	PRON
ajst-29855	32	29	provides	provide	VERB
ajst-29855	32	30	a	a	DET
ajst-29855	32	31	basis	basis	NOUN
ajst-29855	32	32	for	for	ADP
ajst-29855	32	33	the	the	DET
ajst-29855	32	34	accurate	accurate	ADJ
ajst-29855	32	35	addition	addition	NOUN
ajst-29855	32	36	of	of	ADP
ajst-29855	32	37	subsequent	subsequent	ADJ
ajst-29855	32	38	flocculants	flocculant	NOUN
ajst-29855	32	39	.	.	PUNCT
ajst-29855	33	1	2	2	X
ajst-29855	33	2	.	.	X
ajst-29855	33	3	construction	construction	NOUN
ajst-29855	33	4	and	and	CCONJ
ajst-29855	33	5	pre	pre	ADJ
ajst-29855	33	6	-	-	ADJ
ajst-29855	33	7	processing	processing	NOUN
ajst-29855	33	8	of	of	ADP
ajst-29855	33	9	flocculation	flocculation	NOUN
ajst-29855	33	10	image	image	NOUN
ajst-29855	33	11	data	datum	NOUN
ajst-29855	33	12	2.1	2.1	NUM
ajst-29855	33	13	.	.	PUNCT
ajst-29855	34	1	flocculation	flocculation	NOUN
ajst-29855	34	2	image	image	NOUN
ajst-29855	34	3	capture	capture	VERB
ajst-29855	34	4	the	the	DET
ajst-29855	34	5	image	image	NOUN
ajst-29855	34	6	acquisition	acquisition	NOUN
ajst-29855	34	7	equipment	equipment	NOUN
ajst-29855	34	8	includes	include	VERB
ajst-29855	34	9	a	a	DET
ajst-29855	34	10	beaker	beaker	NOUN
ajst-29855	34	11	,	,	PUNCT
ajst-29855	34	12	an	an	DET
ajst-29855	34	13	industrial	industrial	ADJ
ajst-29855	34	14	camera	camera	NOUN
ajst-29855	34	15	,	,	PUNCT
ajst-29855	34	16	a	a	DET
ajst-29855	34	17	camera	camera	NOUN
ajst-29855	34	18	holder	holder	NOUN
ajst-29855	34	19	,	,	PUNCT
ajst-29855	34	20	a	a	DET
ajst-29855	34	21	transmission	transmission	NOUN
ajst-29855	34	22	network	network	NOUN
ajst-29855	34	23	cable	cable	NOUN
ajst-29855	34	24	,	,	PUNCT
ajst-29855	34	25	a	a	DET
ajst-29855	34	26	light	light	ADJ
ajst-29855	34	27	source	source	NOUN
ajst-29855	34	28	,	,	PUNCT
ajst-29855	34	29	an	an	DET
ajst-29855	34	30	overhead	overhead	ADJ
ajst-29855	34	31	motorized	motorize	VERB
ajst-29855	34	32	stirrer	stirrer	NOUN
ajst-29855	34	33	,	,	PUNCT
ajst-29855	34	34	and	and	CCONJ
ajst-29855	34	35	a	a	DET
ajst-29855	34	36	computer	computer	NOUN
ajst-29855	34	37	,	,	PUNCT
ajst-29855	34	38	as	as	SCONJ
ajst-29855	34	39	shown	show	VERB
ajst-29855	34	40	in	in	ADP
ajst-29855	34	41	figure	figure	NOUN
ajst-29855	34	42	1	1	NUM
ajst-29855	34	43	.	.	PUNCT
ajst-29855	35	1	the	the	DET
ajst-29855	35	2	industrial	industrial	ADJ
ajst-29855	35	3	camera	camera	NOUN
ajst-29855	35	4	is	be	AUX
ajst-29855	35	5	a	a	DET
ajst-29855	35	6	basler	basler	NOUN
ajst-29855	35	7	brand	brand	NOUN
ajst-29855	35	8	camera	camera	NOUN
ajst-29855	35	9	with	with	ADP
ajst-29855	35	10	model	model	NOUN
ajst-29855	35	11	number	number	NOUN
ajst-29855	35	12	a2a450427g5cbas	a2a450427g5cbas	NOUN
ajst-29855	35	13	,	,	PUNCT
ajst-29855	35	14	which	which	PRON
ajst-29855	35	15	has	have	VERB
ajst-29855	35	16	a	a	DET
ajst-29855	35	17	resolution	resolution	NOUN
ajst-29855	35	18	of	of	ADP
ajst-29855	35	19	20.2	20.2	NUM
ajst-29855	35	20	mp	mp	NOUN
ajst-29855	35	21	and	and	CCONJ
ajst-29855	35	22	a	a	DET
ajst-29855	35	23	frame	frame	NOUN
ajst-29855	35	24	rate	rate	NOUN
ajst-29855	35	25	of	of	ADP
ajst-29855	35	26	27	27	NUM
ajst-29855	35	27	fps	fps	NOUN
ajst-29855	35	28	and	and	CCONJ
ajst-29855	35	29	can	can	AUX
ajst-29855	35	30	record	record	VERB
ajst-29855	35	31	the	the	DET
ajst-29855	35	32	images	image	NOUN
ajst-29855	35	33	of	of	ADP
ajst-29855	35	34	the	the	DET
ajst-29855	35	35	different	different	ADJ
ajst-29855	35	36	stages	stage	NOUN
ajst-29855	35	37	of	of	ADP
ajst-29855	35	38	the	the	DET
ajst-29855	35	39	flocculation	flocculation	NOUN
ajst-29855	35	40	reaction	reaction	NOUN
ajst-29855	35	41	.	.	PUNCT
ajst-29855	36	1	the	the	DET
ajst-29855	36	2	camera	camera	NOUN
ajst-29855	36	3	is	be	AUX
ajst-29855	36	4	connected	connect	VERB
ajst-29855	36	5	to	to	ADP
ajst-29855	36	6	the	the	DET
ajst-29855	36	7	computer	computer	NOUN
ajst-29855	36	8	via	via	ADP
ajst-29855	36	9	a	a	DET
ajst-29855	36	10	100mbit	100mbit	PROPN
ajst-29855	36	11	/	/	SYM
ajst-29855	36	12	s	s	PART
ajst-29855	36	13	fast	fast	ADJ
ajst-29855	36	14	ethernet	ethernet	NOUN
ajst-29855	36	15	interface	interface	NOUN
ajst-29855	36	16	and	and	CCONJ
ajst-29855	36	17	operates	operate	VERB
ajst-29855	36	18	at	at	ADP
ajst-29855	36	19	a	a	DET
ajst-29855	36	20	voltage	voltage	NOUN
ajst-29855	36	21	of	of	ADP
ajst-29855	36	22	12	12	NUM
ajst-29855	36	23	-	-	PUNCT
ajst-29855	36	24	24v	24v	NOUN
ajst-29855	36	25	.	.	PUNCT
ajst-29855	37	1	based	base	VERB
ajst-29855	37	2	on	on	ADP
ajst-29855	37	3	the	the	DET
ajst-29855	37	4	indoor	indoor	ADJ
ajst-29855	37	5	experimental	experimental	ADJ
ajst-29855	37	6	situation	situation	NOUN
ajst-29855	37	7	and	and	CCONJ
ajst-29855	37	8	the	the	DET
ajst-29855	37	9	actual	actual	ADJ
ajst-29855	37	10	application	application	NOUN
ajst-29855	37	11	conditions	condition	NOUN
ajst-29855	37	12	,	,	PUNCT
ajst-29855	37	13	the	the	DET
ajst-29855	37	14	distance	distance	NOUN
ajst-29855	37	15	between	between	ADP
ajst-29855	37	16	the	the	DET
ajst-29855	37	17	beaker	beaker	NOUN
ajst-29855	37	18	and	and	CCONJ
ajst-29855	37	19	the	the	DET
ajst-29855	37	20	camera	camera	NOUN
ajst-29855	37	21	was	be	AUX
ajst-29855	37	22	determined	determine	VERB
ajst-29855	37	23	to	to	PART
ajst-29855	37	24	be	be	AUX
ajst-29855	37	25	400	400	NUM
ajst-29855	37	26	mm	mm	NOUN
ajst-29855	37	27	,	,	PUNCT
ajst-29855	37	28	at	at	ADP
ajst-29855	37	29	which	which	DET
ajst-29855	37	30	time	time	NOUN
ajst-29855	37	31	the	the	DET
ajst-29855	37	32	camera	camera	NOUN
ajst-29855	37	33	took	take	VERB
ajst-29855	37	34	the	the	DET
ajst-29855	37	35	best	good	ADJ
ajst-29855	37	36	picture	picture	NOUN
ajst-29855	37	37	.	.	PUNCT
ajst-29855	38	1	the	the	DET
ajst-29855	38	2	light	light	ADJ
ajst-29855	38	3	source	source	NOUN
ajst-29855	38	4	is	be	AUX
ajst-29855	38	5	js	js	ADJ
ajst-29855	38	6	-	-	PUNCT
ajst-29855	38	7	dbl209	dbl209	NOUN
ajst-29855	38	8	-	-	PUNCT
ajst-29855	38	9	265	265	NUM
ajst-29855	38	10	,	,	PUNCT
ajst-29855	38	11	with	with	ADP
ajst-29855	38	12	a	a	DET
ajst-29855	38	13	size	size	NOUN
ajst-29855	38	14	of	of	ADP
ajst-29855	38	15	800mm×117mm×38	800mm×117mm×38	NUM
ajst-29855	38	16	mm	mm	NOUN
ajst-29855	38	17	,	,	PUNCT
ajst-29855	38	18	power	power	NOUN
ajst-29855	38	19	of	of	ADP
ajst-29855	38	20	30w	30w	NOUN
ajst-29855	38	21	,	,	PUNCT
ajst-29855	38	22	and	and	CCONJ
ajst-29855	38	23	protection	protection	NOUN
ajst-29855	38	24	level	level	NOUN
ajst-29855	38	25	of	of	ADP
ajst-29855	38	26	ip66	ip66	PROPN
ajst-29855	38	27	,	,	PUNCT
ajst-29855	38	28	and	and	CCONJ
ajst-29855	38	29	the	the	DET
ajst-29855	38	30	rotational	rotational	ADJ
ajst-29855	38	31	speed	speed	NOUN
ajst-29855	38	32	of	of	ADP
ajst-29855	38	33	the	the	DET
ajst-29855	38	34	overhead	overhead	ADJ
ajst-29855	38	35	electric	electric	ADJ
ajst-29855	38	36	stirrer	stirrer	NOUN
ajst-29855	38	37	is	be	AUX
ajst-29855	38	38	determined	determine	VERB
ajst-29855	38	39	to	to	PART
ajst-29855	38	40	be	be	AUX
ajst-29855	38	41	100r	100r	NUM
ajst-29855	38	42	/	/	SYM
ajst-29855	38	43	min	min	NOUN
ajst-29855	38	44	according	accord	VERB
ajst-29855	38	45	to	to	ADP
ajst-29855	38	46	the	the	DET
ajst-29855	38	47	actual	actual	ADJ
ajst-29855	38	48	experimental	experimental	ADJ
ajst-29855	38	49	situation	situation	NOUN
ajst-29855	38	50	,	,	PUNCT
ajst-29855	38	51	which	which	PRON
ajst-29855	38	52	can	can	AUX
ajst-29855	38	53	not	not	PART
ajst-29855	38	54	only	only	ADV
ajst-29855	38	55	stir	stir	VERB
ajst-29855	38	56	the	the	DET
ajst-29855	38	57	drilling	drilling	NOUN
ajst-29855	38	58	fluid	fluid	ADJ
ajst-29855	38	59	waste	waste	NOUN
ajst-29855	38	60	fluid	fluid	NOUN
ajst-29855	38	61	well	well	INTJ
ajst-29855	38	62	but	but	CCONJ
ajst-29855	38	63	also	also	ADV
ajst-29855	38	64	ensure	ensure	VERB
ajst-29855	38	65	that	that	SCONJ
ajst-29855	38	66	the	the	DET
ajst-29855	38	67	flocs	floc	NOUN
ajst-29855	38	68	will	will	AUX
ajst-29855	38	69	not	not	PART
ajst-29855	38	70	be	be	AUX
ajst-29855	38	71	dispersed	disperse	VERB
ajst-29855	38	72	due	due	ADP
ajst-29855	38	73	to	to	ADP
ajst-29855	38	74	the	the	DET
ajst-29855	38	75	fast	fast	ADJ
ajst-29855	38	76	rotational	rotational	ADJ
ajst-29855	38	77	speed	speed	NOUN
ajst-29855	38	78	.	.	PUNCT
ajst-29855	39	1	figure	figure	NOUN
ajst-29855	39	2	1	1	NUM
ajst-29855	39	3	.	.	PUNCT
ajst-29855	39	4	flocculation	flocculation	NOUN
ajst-29855	39	5	image	image	NOUN
ajst-29855	39	6	acquisition	acquisition	NOUN
ajst-29855	39	7	device	device	NOUN
ajst-29855	39	8	the	the	DET
ajst-29855	39	9	experimental	experimental	ADJ
ajst-29855	39	10	samples	sample	NOUN
ajst-29855	39	11	were	be	AUX
ajst-29855	39	12	obtained	obtain	VERB
ajst-29855	39	13	from	from	ADP
ajst-29855	39	14	the	the	DET
ajst-29855	39	15	drilling	drilling	NOUN
ajst-29855	39	16	fluid	fluid	NOUN
ajst-29855	39	17	waste	waste	NOUN
ajst-29855	39	18	from	from	ADP
ajst-29855	39	19	different	different	ADJ
ajst-29855	39	20	formations	formation	NOUN
ajst-29855	39	21	under	under	ADP
ajst-29855	39	22	the	the	DET
ajst-29855	39	23	qhd33	qhd33	VERB
ajst-29855	39	24	-	-	PUNCT
ajst-29855	39	25	1	1	NUM
ajst-29855	39	26	block	block	NOUN
ajst-29855	39	27	returned	return	VERB
ajst-29855	39	28	from	from	ADP
ajst-29855	39	29	the	the	DET
ajst-29855	39	30	drilling	drilling	NOUN
ajst-29855	39	31	site	site	NOUN
ajst-29855	39	32	.	.	PUNCT
ajst-29855	40	1	the	the	DET
ajst-29855	40	2	drilling	drilling	NOUN
ajst-29855	40	3	fluid	fluid	ADJ
ajst-29855	40	4	waste	waste	NOUN
ajst-29855	40	5	was	be	AUX
ajst-29855	40	6	stirred	stir	VERB
ajst-29855	40	7	well	well	ADV
ajst-29855	40	8	and	and	CCONJ
ajst-29855	40	9	then	then	ADV
ajst-29855	40	10	400	400	NUM
ajst-29855	40	11	ml	ml	NOUN
ajst-29855	40	12	of	of	ADP
ajst-29855	40	13	the	the	DET
ajst-29855	40	14	sample	sample	NOUN
ajst-29855	40	15	was	be	AUX
ajst-29855	40	16	added	add	VERB
ajst-29855	40	17	into	into	ADP
ajst-29855	40	18	a	a	DET
ajst-29855	40	19	beaker	beaker	NOUN
ajst-29855	40	20	,	,	PUNCT
ajst-29855	40	21	and	and	CCONJ
ajst-29855	40	22	the	the	DET
ajst-29855	40	23	flocculant	flocculant	NOUN
ajst-29855	40	24	was	be	AUX
ajst-29855	40	25	extracted	extract	VERB
ajst-29855	40	26	with	with	ADP
ajst-29855	40	27	a	a	DET
ajst-29855	40	28	syringe	syringe	NOUN
ajst-29855	40	29	and	and	CCONJ
ajst-29855	40	30	slowly	slowly	ADV
ajst-29855	40	31	injected	inject	VERB
ajst-29855	40	32	into	into	ADP
ajst-29855	40	33	the	the	DET
ajst-29855	40	34	beaker	beaker	NOUN
ajst-29855	40	35	,	,	PUNCT
ajst-29855	40	36	while	while	SCONJ
ajst-29855	40	37	the	the	DET
ajst-29855	40	38	overhead	overhead	ADJ
ajst-29855	40	39	electric	electric	ADJ
ajst-29855	40	40	stirrer	stirrer	NOUN
ajst-29855	40	41	was	be	AUX
ajst-29855	40	42	turned	turn	VERB
ajst-29855	40	43	on	on	ADP
ajst-29855	40	44	for	for	ADP
ajst-29855	40	45	stirring	stirring	NOUN
ajst-29855	40	46	.	.	PUNCT
ajst-29855	41	1	when	when	SCONJ
ajst-29855	41	2	the	the	DET
ajst-29855	41	3	flocculation	flocculation	NOUN
ajst-29855	41	4	treatment	treatment	NOUN
ajst-29855	41	5	of	of	ADP
ajst-29855	41	6	drilling	drill	VERB
ajst-29855	41	7	fluid	fluid	ADJ
ajst-29855	41	8	waste	waste	NOUN
ajst-29855	41	9	liquids	liquid	NOUN
ajst-29855	41	10	begins	begin	VERB
ajst-29855	41	11	,	,	PUNCT
ajst-29855	41	12	open	open	VERB
ajst-29855	41	13	the	the	DET
ajst-29855	41	14	image	image	NOUN
ajst-29855	41	15	acquisition	acquisition	NOUN
ajst-29855	41	16	equipment	equipment	NOUN
ajst-29855	41	17	and	and	CCONJ
ajst-29855	41	18	photograph	photograph	VERB
ajst-29855	41	19	the	the	DET
ajst-29855	41	20	beaker	beaker	NOUN
ajst-29855	41	21	by	by	ADP
ajst-29855	41	22	calling	call	VERB
ajst-29855	41	23	the	the	DET
ajst-29855	41	24	software	software	NOUN
ajst-29855	41	25	development	development	NOUN
ajst-29855	41	26	kit	kit	NOUN
ajst-29855	41	27	accompanying	accompany	VERB
ajst-29855	41	28	the	the	DET
ajst-29855	41	29	camera	camera	NOUN
ajst-29855	41	30	device	device	NOUN
ajst-29855	41	31	.	.	PUNCT
ajst-29855	42	1	after	after	SCONJ
ajst-29855	42	2	several	several	ADJ
ajst-29855	42	3	adjustments	adjustment	NOUN
ajst-29855	42	4	to	to	ADP
ajst-29855	42	5	the	the	DET
ajst-29855	42	6	shooting	shooting	NOUN
ajst-29855	42	7	time	time	NOUN
ajst-29855	42	8	to	to	PART
ajst-29855	42	9	get	get	VERB
ajst-29855	42	10	every	every	DET
ajst-29855	42	11	1	1	NUM
ajst-29855	42	12	-	-	PUNCT
ajst-29855	42	13	second	second	ADJ
ajst-29855	42	14	shooting	shooting	NOUN
ajst-29855	42	15	can	can	AUX
ajst-29855	42	16	ensure	ensure	VERB
ajst-29855	42	17	that	that	SCONJ
ajst-29855	42	18	the	the	DET
ajst-29855	42	19	amount	amount	NOUN
ajst-29855	42	20	of	of	ADP
ajst-29855	42	21	mixed	mixed	ADJ
ajst-29855	42	22	fluid	fluid	ADJ
ajst-29855	42	23	image	image	NOUN
ajst-29855	42	24	data	datum	NOUN
ajst-29855	42	25	is	be	AUX
ajst-29855	42	26	sufficient	sufficient	ADJ
ajst-29855	42	27	and	and	CCONJ
ajst-29855	42	28	there	there	PRON
ajst-29855	42	29	is	be	VERB
ajst-29855	42	30	a	a	DET
ajst-29855	42	31	certain	certain	ADJ
ajst-29855	42	32	degree	degree	NOUN
ajst-29855	42	33	of	of	ADP
ajst-29855	42	34	variability	variability	NOUN
ajst-29855	42	35	between	between	ADP
ajst-29855	42	36	the	the	DET
ajst-29855	42	37	individual	individual	ADJ
ajst-29855	42	38	images	image	NOUN
ajst-29855	42	39	,	,	PUNCT
ajst-29855	42	40	repeat	repeat	VERB
ajst-29855	42	41	this	this	DET
ajst-29855	42	42	process	process	NOUN
ajst-29855	42	43	until	until	ADP
ajst-29855	42	44	the	the	DET
ajst-29855	42	45	end	end	NOUN
ajst-29855	42	46	of	of	ADP
ajst-29855	42	47	the	the	DET
ajst-29855	42	48	flocculation	flocculation	NOUN
ajst-29855	42	49	process	process	NOUN
ajst-29855	42	50	,	,	PUNCT
ajst-29855	42	51	and	and	CCONJ
ajst-29855	42	52	all	all	DET
ajst-29855	42	53	the	the	DET
ajst-29855	42	54	flocculation	flocculation	NOUN
ajst-29855	42	55	images	image	NOUN
ajst-29855	42	56	will	will	AUX
ajst-29855	42	57	be	be	AUX
ajst-29855	42	58	captured	capture	VERB
ajst-29855	42	59	through	through	ADP
ajst-29855	42	60	the	the	DET
ajst-29855	42	61	gigabit	gigabit	NOUN
ajst-29855	42	62	network	network	NOUN
ajst-29855	42	63	cable	cable	NOUN
ajst-29855	42	64	transmission	transmission	NOUN
ajst-29855	42	65	to	to	ADP
ajst-29855	42	66	the	the	DET
ajst-29855	42	67	computer	computer	NOUN
ajst-29855	42	68	equipment	equipment	NOUN
ajst-29855	42	69	.	.	PUNCT
ajst-29855	43	1	when	when	SCONJ
ajst-29855	43	2	the	the	DET
ajst-29855	43	3	flocculation	flocculation	NOUN
ajst-29855	43	4	of	of	ADP
ajst-29855	43	5	the	the	DET
ajst-29855	43	6	drilling	drilling	NOUN
ajst-29855	43	7	fluid	fluid	ADJ
ajst-29855	43	8	waste	waste	NOUN
ajst-29855	43	9	is	be	AUX
ajst-29855	43	10	complete	complete	ADJ
ajst-29855	43	11	,	,	PUNCT
ajst-29855	43	12	the	the	DET
ajst-29855	43	13	treated	treat	VERB
ajst-29855	43	14	fluid	fluid	NOUN
ajst-29855	43	15	is	be	AUX
ajst-29855	43	16	poured	pour	VERB
ajst-29855	43	17	out	out	ADP
ajst-29855	43	18	for	for	ADP
ajst-29855	43	19	subsequent	subsequent	ADJ
ajst-29855	43	20	processing	processing	NOUN
ajst-29855	43	21	or	or	CCONJ
ajst-29855	43	22	storage	storage	NOUN
ajst-29855	43	23	.	.	PUNCT
ajst-29855	44	1	inside	inside	ADP
ajst-29855	44	2	the	the	DET
ajst-29855	44	3	image	image	NOUN
ajst-29855	44	4	data	datum	NOUN
ajst-29855	44	5	acquired	acquire	VERB
ajst-29855	44	6	by	by	ADP
ajst-29855	44	7	this	this	DET
ajst-29855	44	8	system	system	NOUN
ajst-29855	44	9	,	,	PUNCT
ajst-29855	44	10	there	there	PRON
ajst-29855	44	11	will	will	AUX
ajst-29855	44	12	be	be	AUX
ajst-29855	44	13	problems	problem	NOUN
ajst-29855	44	14	such	such	ADJ
ajst-29855	44	15	as	as	ADP
ajst-29855	44	16	uneven	uneven	ADJ
ajst-29855	44	17	illumination	illumination	NOUN
ajst-29855	44	18	and	and	CCONJ
ajst-29855	44	19	external	external	ADJ
ajst-29855	44	20	noise	noise	NOUN
ajst-29855	44	21	,	,	PUNCT
ajst-29855	44	22	which	which	PRON
ajst-29855	44	23	should	should	AUX
ajst-29855	44	24	be	be	AUX
ajst-29855	44	25	cleaned	clean	VERB
ajst-29855	44	26	up	up	ADP
ajst-29855	44	27	first	first	ADV
ajst-29855	44	28	to	to	PART
ajst-29855	44	29	avoid	avoid	VERB
ajst-29855	44	30	these	these	DET
ajst-29855	44	31	invalid	invalid	ADJ
ajst-29855	44	32	data	datum	NOUN
ajst-29855	44	33	affecting	affect	VERB
ajst-29855	44	34	the	the	DET
ajst-29855	44	35	subsequent	subsequent	ADJ
ajst-29855	44	36	experiments	experiment	NOUN
ajst-29855	44	37	.	.	PUNCT
ajst-29855	45	1	after	after	ADP
ajst-29855	45	2	screening	screen	VERB
ajst-29855	45	3	,	,	PUNCT
ajst-29855	45	4	the	the	DET
ajst-29855	45	5	system	system	NOUN
ajst-29855	45	6	collected	collect	VERB
ajst-29855	45	7	a	a	DET
ajst-29855	45	8	total	total	NOUN
ajst-29855	45	9	of	of	ADP
ajst-29855	45	10	1700	1700	NUM
ajst-29855	45	11	original	original	ADJ
ajst-29855	45	12	sample	sample	NOUN
ajst-29855	45	13	images	image	NOUN
ajst-29855	45	14	under	under	ADP
ajst-29855	45	15	different	different	ADJ
ajst-29855	45	16	flocculation	flocculation	NOUN
ajst-29855	45	17	stages	stage	NOUN
ajst-29855	45	18	and	and	CCONJ
ajst-29855	45	19	classified	classify	VERB
ajst-29855	45	20	the	the	DET
ajst-29855	45	21	collected	collected	ADJ
ajst-29855	45	22	flocculation	flocculation	NOUN
ajst-29855	45	23	images	image	NOUN
ajst-29855	45	24	into	into	ADP
ajst-29855	45	25	three	three	NUM
ajst-29855	45	26	categories	category	NOUN
ajst-29855	45	27	according	accord	VERB
ajst-29855	45	28	to	to	ADP
ajst-29855	45	29	the	the	DET
ajst-29855	45	30	degree	degree	NOUN
ajst-29855	45	31	of	of	ADP
ajst-29855	45	32	flocculation	flocculation	NOUN
ajst-29855	45	33	reaction	reaction	NOUN
ajst-29855	45	34	.	.	PUNCT
ajst-29855	46	1	the	the	DET
ajst-29855	46	2	flocculation	flocculation	NOUN
ajst-29855	46	3	images	image	NOUN
ajst-29855	46	4	of	of	ADP
ajst-29855	46	5	different	different	ADJ
ajst-29855	46	6	categories	category	NOUN
ajst-29855	46	7	of	of	ADP
ajst-29855	46	8	drilling	drill	VERB
ajst-29855	46	9	fluid	fluid	ADJ
ajst-29855	46	10	waste	waste	NOUN
ajst-29855	46	11	liquids	liquid	NOUN
ajst-29855	46	12	are	be	AUX
ajst-29855	46	13	shown	show	VERB
ajst-29855	46	14	in	in	ADP
ajst-29855	46	15	figure	figure	NOUN
ajst-29855	46	16	2	2	NUM
ajst-29855	46	17	.	.	PUNCT
ajst-29855	46	18	level	level	NOUN
ajst-29855	46	19	0	0	PUNCT
ajst-29855	47	1	(	(	PUNCT
ajst-29855	47	2	first	first	ADJ
ajst-29855	47	3	stage	stage	NOUN
ajst-29855	47	4	)	)	PUNCT
ajst-29855	47	5	images	image	NOUN
ajst-29855	47	6	have	have	VERB
ajst-29855	47	7	fewer	few	ADJ
ajst-29855	47	8	flocs	floc	NOUN
ajst-29855	47	9	or	or	CCONJ
ajst-29855	47	10	particles	particle	NOUN
ajst-29855	47	11	and	and	CCONJ
ajst-29855	47	12	the	the	DET
ajst-29855	47	13	color	color	NOUN
ajst-29855	47	14	of	of	ADP
ajst-29855	47	15	the	the	DET
ajst-29855	47	16	waste	waste	NOUN
ajst-29855	47	17	liquid	liquid	NOUN
ajst-29855	47	18	is	be	AUX
ajst-29855	47	19	grey	grey	ADJ
ajst-29855	47	20	.	.	PUNCT
ajst-29855	48	1	635	635	NUM
ajst-29855	48	2	images	image	NOUN
ajst-29855	48	3	were	be	AUX
ajst-29855	48	4	taken	take	VERB
ajst-29855	48	5	in	in	ADP
ajst-29855	48	6	this	this	DET
ajst-29855	48	7	category	category	NOUN
ajst-29855	48	8	.	.	PUNCT
ajst-29855	49	1	the	the	DET
ajst-29855	49	2	total	total	ADJ
ajst-29855	49	3	number	number	NOUN
ajst-29855	49	4	of	of	ADP
ajst-29855	49	5	images	image	NOUN
ajst-29855	49	6	in	in	ADP
ajst-29855	49	7	this	this	DET
ajst-29855	49	8	category	category	NOUN
ajst-29855	49	9	is	be	AUX
ajst-29855	49	10	635	635	NUM
ajst-29855	49	11	.	.	PUNCT
ajst-29855	50	1	550	550	NUM
ajst-29855	50	2	images	image	NOUN
ajst-29855	50	3	of	of	ADP
ajst-29855	50	4	level	level	NOUN
ajst-29855	50	5	1	1	NUM
ajst-29855	50	6	(	(	PUNCT
ajst-29855	50	7	middle	middle	ADJ
ajst-29855	50	8	stage	stage	NOUN
ajst-29855	50	9	)	)	PUNCT
ajst-29855	50	10	were	be	AUX
ajst-29855	50	11	found	find	VERB
ajst-29855	50	12	to	to	PART
ajst-29855	50	13	have	have	VERB
ajst-29855	50	14	some	some	DET
ajst-29855	50	15	flocs	floc	NOUN
ajst-29855	50	16	or	or	CCONJ
ajst-29855	50	17	particles	particle	NOUN
ajst-29855	50	18	,	,	PUNCT
ajst-29855	50	19	and	and	CCONJ
ajst-29855	50	20	the	the	DET
ajst-29855	50	21	color	color	NOUN
ajst-29855	50	22	of	of	ADP
ajst-29855	50	23	the	the	DET
ajst-29855	50	24	waste	waste	NOUN
ajst-29855	50	25	fluid	fluid	NOUN
ajst-29855	50	26	was	be	AUX
ajst-29855	50	27	further	far	ADV
ajst-29855	50	28	deepened	deepen	VERB
ajst-29855	50	29	.	.	PUNCT
ajst-29855	51	1	515	515	NUM
ajst-29855	51	2	images	image	NOUN
ajst-29855	51	3	of	of	ADP
ajst-29855	51	4	level	level	NOUN
ajst-29855	51	5	2	2	NUM
ajst-29855	51	6	(	(	PUNCT
ajst-29855	51	7	late	late	ADJ
ajst-29855	51	8	stage	stage	NOUN
ajst-29855	51	9	)	)	PUNCT
ajst-29855	51	10	were	be	AUX
ajst-29855	51	11	found	find	VERB
ajst-29855	51	12	to	to	PART
ajst-29855	51	13	have	have	VERB
ajst-29855	51	14	a	a	DET
ajst-29855	51	15	large	large	ADJ
ajst-29855	51	16	number	number	NOUN
ajst-29855	51	17	of	of	ADP
ajst-29855	51	18	flocs	floc	NOUN
ajst-29855	51	19	or	or	CCONJ
ajst-29855	51	20	particles	particle	NOUN
ajst-29855	51	21	,	,	PUNCT
ajst-29855	51	22	and	and	CCONJ
ajst-29855	51	23	the	the	DET
ajst-29855	51	24	color	color	NOUN
ajst-29855	51	25	of	of	ADP
ajst-29855	51	26	the	the	DET
ajst-29855	51	27	waste	waste	NOUN
ajst-29855	51	28	fluid	fluid	NOUN
ajst-29855	51	29	was	be	AUX
ajst-29855	51	30	changed	change	VERB
ajst-29855	51	31	to	to	ADP
ajst-29855	51	32	yellowishbrown	yellowishbrown	NOUN
ajst-29855	51	33	,	,	PUNCT
ajst-29855	51	34	total	total	ADJ
ajst-29855	51	35	number	number	NOUN
ajst-29855	51	36	of	of	ADP
ajst-29855	51	37	images	image	NOUN
ajst-29855	51	38	in	in	ADP
ajst-29855	51	39	this	this	DET
ajst-29855	51	40	category	category	NOUN
ajst-29855	51	41	is	be	AUX
ajst-29855	51	42	515	515	NUM
ajst-29855	51	43	.	.	PUNCT
ajst-29855	52	1	finally	finally	ADV
ajst-29855	52	2	,	,	PUNCT
ajst-29855	52	3	the	the	DET
ajst-29855	52	4	flocculation	flocculation	NOUN
ajst-29855	52	5	images	image	NOUN
ajst-29855	52	6	of	of	ADP
ajst-29855	52	7	the	the	DET
ajst-29855	52	8	three	three	NUM
ajst-29855	52	9	categories	category	NOUN
ajst-29855	52	10	of	of	ADP
ajst-29855	52	11	drilling	drilling	NOUN
ajst-29855	52	12	fluid	fluid	NOUN
ajst-29855	52	13	were	be	AUX
ajst-29855	52	14	placed	place	VERB
ajst-29855	52	15	in	in	ADP
ajst-29855	52	16	different	different	ADJ
ajst-29855	52	17	folders	folder	NOUN
ajst-29855	52	18	(	(	PUNCT
ajst-29855	52	19	representing	represent	VERB
ajst-29855	52	20	different	different	ADJ
ajst-29855	52	21	category	category	NOUN
ajst-29855	52	22	labels	label	NOUN
ajst-29855	52	23	)	)	PUNCT
ajst-29855	52	24	for	for	ADP
ajst-29855	52	25	subsequent	subsequent	ADJ
ajst-29855	52	26	flocculation	flocculation	NOUN
ajst-29855	52	27	state	state	NOUN
ajst-29855	52	28	category	category	NOUN
ajst-29855	52	29	classification	classification	NOUN
ajst-29855	52	30	experiments	experiment	NOUN
ajst-29855	52	31	.	.	PUNCT
ajst-29855	53	1	49	49	NUM
ajst-29855	53	2	figure	figure	NOUN
ajst-29855	53	3	2	2	NUM
ajst-29855	53	4	.	.	NUM
ajst-29855	53	5	images	image	NOUN
ajst-29855	53	6	of	of	ADP
ajst-29855	53	7	drilling	drill	VERB
ajst-29855	53	8	fluid	fluid	ADJ
ajst-29855	53	9	waste	waste	NOUN
ajst-29855	53	10	liquid	liquid	NOUN
ajst-29855	53	11	under	under	ADP
ajst-29855	53	12	different	different	ADJ
ajst-29855	53	13	flocculation	flocculation	NOUN
ajst-29855	53	14	states	state	NOUN
ajst-29855	53	15	2.2	2.2	NUM
ajst-29855	53	16	.	.	PUNCT
ajst-29855	54	1	image	image	NOUN
ajst-29855	54	2	pre	pre	NOUN
ajst-29855	54	3	-	-	ADJ
ajst-29855	54	4	processing	processing	ADJ
ajst-29855	54	5	to	to	PART
ajst-29855	54	6	ensure	ensure	VERB
ajst-29855	54	7	that	that	SCONJ
ajst-29855	54	8	the	the	DET
ajst-29855	54	9	model	model	NOUN
ajst-29855	54	10	can	can	AUX
ajst-29855	54	11	work	work	VERB
ajst-29855	54	12	stably	stably	ADV
ajst-29855	54	13	and	and	CCONJ
ajst-29855	54	14	accurately	accurately	ADV
ajst-29855	54	15	in	in	ADP
ajst-29855	54	16	a	a	DET
ajst-29855	54	17	variety	variety	NOUN
ajst-29855	54	18	of	of	ADP
ajst-29855	54	19	real	real	ADJ
ajst-29855	54	20	scenarios	scenario	NOUN
ajst-29855	54	21	,	,	PUNCT
ajst-29855	54	22	improve	improve	VERB
ajst-29855	54	23	the	the	DET
ajst-29855	54	24	adaptability	adaptability	NOUN
ajst-29855	54	25	and	and	CCONJ
ajst-29855	54	26	generalization	generalization	NOUN
ajst-29855	54	27	ability	ability	NOUN
ajst-29855	54	28	to	to	ADP
ajst-29855	54	29	flocculation	flocculation	NOUN
ajst-29855	54	30	image	image	NOUN
ajst-29855	54	31	changes	change	NOUN
ajst-29855	54	32	,	,	PUNCT
ajst-29855	54	33	and	and	CCONJ
ajst-29855	54	34	reduce	reduce	VERB
ajst-29855	54	35	the	the	DET
ajst-29855	54	36	risk	risk	NOUN
ajst-29855	54	37	of	of	ADP
ajst-29855	54	38	overfitting	overfitte	VERB
ajst-29855	54	39	.	.	PUNCT
ajst-29855	55	1	in	in	ADP
ajst-29855	55	2	this	this	DET
ajst-29855	55	3	paper	paper	NOUN
ajst-29855	55	4	,	,	PUNCT
ajst-29855	55	5	the	the	DET
ajst-29855	55	6	original	original	ADJ
ajst-29855	55	7	flocculation	flocculation	NOUN
ajst-29855	55	8	image	image	NOUN
ajst-29855	55	9	dataset	dataset	NOUN
ajst-29855	55	10	used	use	VERB
ajst-29855	55	11	for	for	ADP
ajst-29855	55	12	model	model	NOUN
ajst-29855	55	13	training	training	NOUN
ajst-29855	55	14	is	be	AUX
ajst-29855	55	15	preprocessed	preprocesse	VERB
ajst-29855	55	16	,	,	PUNCT
ajst-29855	55	17	and	and	CCONJ
ajst-29855	55	18	the	the	DET
ajst-29855	55	19	data	datum	NOUN
ajst-29855	55	20	is	be	AUX
ajst-29855	55	21	enhanced	enhance	VERB
ajst-29855	55	22	by	by	ADP
ajst-29855	55	23	brightness	brightness	NOUN
ajst-29855	55	24	adjustment	adjustment	NOUN
ajst-29855	55	25	,	,	PUNCT
ajst-29855	55	26	random	random	ADJ
ajst-29855	55	27	rotation	rotation	NOUN
ajst-29855	55	28	,	,	PUNCT
ajst-29855	55	29	and	and	CCONJ
ajst-29855	55	30	hsv	hsv	NOUN
ajst-29855	55	31	degree	degree	NOUN
ajst-29855	55	32	enhancement	enhancement	NOUN
ajst-29855	55	33	,	,	PUNCT
ajst-29855	55	34	as	as	SCONJ
ajst-29855	55	35	shown	show	VERB
ajst-29855	55	36	in	in	ADP
ajst-29855	55	37	fig	fig	NOUN
ajst-29855	55	38	3	3	NUM
ajst-29855	55	39	.	.	PUNCT
ajst-29855	56	1	the	the	DET
ajst-29855	56	2	1700	1700	NUM
ajst-29855	56	3	original	original	ADJ
ajst-29855	56	4	sample	sample	NOUN
ajst-29855	56	5	images	image	NOUN
ajst-29855	56	6	are	be	AUX
ajst-29855	56	7	expanded	expand	VERB
ajst-29855	56	8	to	to	ADP
ajst-29855	56	9	6935	6935	NUM
ajst-29855	56	10	,	,	PUNCT
ajst-29855	56	11	of	of	ADP
ajst-29855	56	12	which	which	PRON
ajst-29855	56	13	the	the	DET
ajst-29855	56	14	level	level	NOUN
ajst-29855	56	15	0	0	NUM
ajst-29855	57	1	(	(	PUNCT
ajst-29855	57	2	pre	pre	ADJ
ajst-29855	57	3	)	)	PUNCT
ajst-29855	57	4	images	image	NOUN
ajst-29855	57	5	are	be	AUX
ajst-29855	57	6	expanded	expand	VERB
ajst-29855	57	7	to	to	ADP
ajst-29855	57	8	2383	2383	NUM
ajst-29855	57	9	,	,	PUNCT
ajst-29855	57	10	level	level	NOUN
ajst-29855	57	11	1	1	NUM
ajst-29855	57	12	(	(	PUNCT
ajst-29855	57	13	mid	mid	ADJ
ajst-29855	57	14	)	)	PUNCT
ajst-29855	57	15	images	image	NOUN
ajst-29855	57	16	are	be	AUX
ajst-29855	57	17	expanded	expand	VERB
ajst-29855	57	18	to	to	ADP
ajst-29855	57	19	2072	2072	NUM
ajst-29855	57	20	,	,	PUNCT
ajst-29855	57	21	and	and	CCONJ
ajst-29855	57	22	level	level	NOUN
ajst-29855	57	23	2	2	NUM
ajst-29855	57	24	(	(	PUNCT
ajst-29855	57	25	post	post	NOUN
ajst-29855	57	26	)	)	PUNCT
ajst-29855	57	27	images	image	NOUN
ajst-29855	57	28	are	be	AUX
ajst-29855	57	29	expanded	expand	VERB
ajst-29855	57	30	to	to	ADP
ajst-29855	57	31	2480	2480	NUM
ajst-29855	57	32	.	.	PUNCT
ajst-29855	58	1	final	final	ADJ
ajst-29855	58	2	.	.	PUNCT
ajst-29855	59	1	the	the	DET
ajst-29855	59	2	preprocessed	preprocesse	VERB
ajst-29855	59	3	images	image	NOUN
ajst-29855	59	4	are	be	AUX
ajst-29855	59	5	divided	divide	VERB
ajst-29855	59	6	into	into	ADP
ajst-29855	59	7	training	training	NOUN
ajst-29855	59	8	sets	set	NOUN
ajst-29855	59	9	and	and	CCONJ
ajst-29855	59	10	test	test	NOUN
ajst-29855	59	11	sets	set	NOUN
ajst-29855	59	12	in	in	ADP
ajst-29855	59	13	the	the	DET
ajst-29855	59	14	ratio	ratio	NOUN
ajst-29855	59	15	of	of	ADP
ajst-29855	59	16	8:2	8:2	NUM
ajst-29855	59	17	,	,	PUNCT
ajst-29855	59	18	and	and	CCONJ
ajst-29855	59	19	the	the	DET
ajst-29855	59	20	number	number	NOUN
ajst-29855	59	21	of	of	ADP
ajst-29855	59	22	images	image	NOUN
ajst-29855	59	23	in	in	ADP
ajst-29855	59	24	each	each	DET
ajst-29855	59	25	category	category	NOUN
ajst-29855	59	26	is	be	AUX
ajst-29855	59	27	shown	show	VERB
ajst-29855	59	28	in	in	ADP
ajst-29855	59	29	table	table	NOUN
ajst-29855	59	30	1	1	NUM
ajst-29855	59	31	.	.	PUNCT
ajst-29855	60	1	finally	finally	ADV
ajst-29855	60	2	,	,	PUNCT
ajst-29855	60	3	data	datum	NOUN
ajst-29855	60	4	support	support	NOUN
ajst-29855	60	5	is	be	AUX
ajst-29855	60	6	provided	provide	VERB
ajst-29855	60	7	for	for	ADP
ajst-29855	60	8	subsequent	subsequent	ADJ
ajst-29855	60	9	experiments	experiment	NOUN
ajst-29855	60	10	.	.	PUNCT
ajst-29855	61	1	figure	figure	VERB
ajst-29855	61	2	3	3	NUM
ajst-29855	61	3	.	.	PUNCT
ajst-29855	62	1	flocculation	flocculation	NOUN
ajst-29855	62	2	image	image	NOUN
ajst-29855	62	3	data	datum	NOUN
ajst-29855	62	4	enhancement	enhancement	NOUN
ajst-29855	62	5	table	table	NOUN
ajst-29855	62	6	1	1	NUM
ajst-29855	62	7	.	.	PUNCT
ajst-29855	63	1	quantity	quantity	NOUN
ajst-29855	63	2	distribution	distribution	NOUN
ajst-29855	63	3	of	of	ADP
ajst-29855	63	4	flocculation	flocculation	NOUN
ajst-29855	63	5	image	image	NOUN
ajst-29855	63	6	datasets	dataset	NOUN
ajst-29855	63	7	flocculation	flocculation	NOUN
ajst-29855	63	8	state	state	NOUN
ajst-29855	63	9	class	class	NOUN
ajst-29855	63	10	training	training	NOUN
ajst-29855	63	11	set	set	NOUN
ajst-29855	63	12	test	test	NOUN
ajst-29855	63	13	set	set	VERB
ajst-29855	63	14	total	total	ADJ
ajst-29855	63	15	level0(first	level0(first	ADJ
ajst-29855	63	16	stage	stage	NOUN
ajst-29855	63	17	)	)	PUNCT
ajst-29855	63	18	1906	1906	NUM
ajst-29855	63	19	477	477	NUM
ajst-29855	63	20	2383	2383	NUM
ajst-29855	63	21	level1(middle	level1(middle	PROPN
ajst-29855	63	22	stage	stage	NOUN
ajst-29855	63	23	)	)	PUNCT
ajst-29855	63	24	1659	1659	NUM
ajst-29855	63	25	413	413	NUM
ajst-29855	63	26	2072	2072	NUM
ajst-29855	63	27	level2(late	level2(late	NOUN
ajst-29855	63	28	stage	stage	NOUN
ajst-29855	63	29	)	)	PUNCT
ajst-29855	63	30	1984	1984	NUM
ajst-29855	63	31	496	496	NUM
ajst-29855	63	32	2480	2480	NUM
ajst-29855	63	33	total	total	NOUN
ajst-29855	63	34	5549	5549	NUM
ajst-29855	63	35	1386	1386	NUM
ajst-29855	63	36	6935	6935	NUM
ajst-29855	63	37	3	3	X
ajst-29855	63	38	.	.	PUNCT
ajst-29855	63	39	flocculation	flocculation	NOUN
ajst-29855	63	40	image	image	NOUN
ajst-29855	63	41	recognition	recognition	NOUN
ajst-29855	63	42	model	model	NOUN
ajst-29855	63	43	3.1	3.1	NUM
ajst-29855	63	44	.	.	PUNCT
ajst-29855	64	1	resnet	resnet	NOUN
ajst-29855	64	2	model	model	NOUN
ajst-29855	64	3	resnet	resnet	PROPN
ajst-29855	64	4	(	(	PUNCT
ajst-29855	64	5	residual	residual	ADJ
ajst-29855	64	6	neural	neural	ADJ
ajst-29855	64	7	network	network	NOUN
ajst-29855	64	8	,	,	PUNCT
ajst-29855	64	9	residual	residual	ADJ
ajst-29855	64	10	neural	neural	ADJ
ajst-29855	64	11	network	network	NOUN
ajst-29855	64	12	)	)	PUNCT
ajst-29855	64	13	is	be	AUX
ajst-29855	64	14	a	a	DET
ajst-29855	64	15	deep	deep	ADJ
ajst-29855	64	16	learning	learning	NOUN
ajst-29855	64	17	network	network	NOUN
ajst-29855	64	18	model	model	NOUN
ajst-29855	64	19	that	that	PRON
ajst-29855	64	20	was	be	AUX
ajst-29855	64	21	proposed	propose	VERB
ajst-29855	64	22	in	in	ADP
ajst-29855	64	23	2015	2015	NUM
ajst-29855	64	24	by	by	ADP
ajst-29855	64	25	kaiming	kaime	VERB
ajst-29855	64	26	he	he	PRON
ajst-29855	64	27	et	et	PROPN
ajst-29855	64	28	al	al	PROPN
ajst-29855	64	29	.	.	PUNCT
ajst-29855	65	1	researchers	researcher	NOUN
ajst-29855	65	2	from	from	ADP
ajst-29855	65	3	microsoft	microsoft	PROPN
ajst-29855	65	4	research	research	PROPN
ajst-29855	65	5	asia24	asia24	PROPN
ajst-29855	65	6	.	.	PUNCT
ajst-29855	66	1	the	the	DET
ajst-29855	66	2	model	model	NOUN
ajst-29855	66	3	was	be	AUX
ajst-29855	66	4	originally	originally	ADV
ajst-29855	66	5	designed	design	VERB
ajst-29855	66	6	to	to	PART
ajst-29855	66	7	address	address	VERB
ajst-29855	66	8	two	two	NUM
ajst-29855	66	9	key	key	ADJ
ajst-29855	66	10	problems	problem	NOUN
ajst-29855	66	11	in	in	ADP
ajst-29855	66	12	deep	deep	ADJ
ajst-29855	66	13	neural	neural	ADJ
ajst-29855	66	14	network	network	NOUN
ajst-29855	66	15	training	training	NOUN
ajst-29855	66	16	:	:	PUNCT
ajst-29855	66	17	the	the	DET
ajst-29855	66	18	gradient	gradient	ADJ
ajst-29855	66	19	vanishing	vanishing	NOUN
ajst-29855	66	20	/	/	SYM
ajst-29855	66	21	exploding	explode	VERB
ajst-29855	66	22	problem	problem	NOUN
ajst-29855	66	23	and	and	CCONJ
ajst-29855	66	24	the	the	DET
ajst-29855	66	25	network	network	NOUN
ajst-29855	66	26	degradation	degradation	NOUN
ajst-29855	66	27	problem	problem	NOUN
ajst-29855	66	28	.	.	PUNCT
ajst-29855	67	1	the	the	DET
ajst-29855	67	2	core	core	NOUN
ajst-29855	67	3	innovation	innovation	NOUN
ajst-29855	67	4	of	of	ADP
ajst-29855	67	5	resnet	resnet	NOUN
ajst-29855	67	6	is	be	AUX
ajst-29855	67	7	its	its	PRON
ajst-29855	67	8	unique	unique	ADJ
ajst-29855	67	9	residual	residual	ADJ
ajst-29855	67	10	block	block	NOUN
ajst-29855	67	11	structure	structure	NOUN
ajst-29855	67	12	.	.	PUNCT
ajst-29855	68	1	the	the	DET
ajst-29855	68	2	two	two	NUM
ajst-29855	68	3	main	main	ADJ
ajst-29855	68	4	residual	residual	ADJ
ajst-29855	68	5	block	block	NOUN
ajst-29855	68	6	structures	structure	NOUN
ajst-29855	68	7	are	be	AUX
ajst-29855	68	8	the	the	DET
ajst-29855	68	9	basic	basic	ADJ
ajst-29855	68	10	block	block	NOUN
ajst-29855	68	11	and	and	CCONJ
ajst-29855	68	12	the	the	DET
ajst-29855	68	13	bottleneck	bottleneck	NOUN
ajst-29855	68	14	block	block	NOUN
ajst-29855	68	15	.	.	PUNCT
ajst-29855	69	1	the	the	DET
ajst-29855	69	2	basic	basic	ADJ
ajst-29855	69	3	block	block	NOUN
ajst-29855	69	4	is	be	AUX
ajst-29855	69	5	a	a	DET
ajst-29855	69	6	simpler	simple	ADJ
ajst-29855	69	7	structure	structure	NOUN
ajst-29855	69	8	and	and	CCONJ
ajst-29855	69	9	is	be	AUX
ajst-29855	69	10	commonly	commonly	ADV
ajst-29855	69	11	used	use	VERB
ajst-29855	69	12	in	in	ADP
ajst-29855	69	13	shallow	shallow	ADJ
ajst-29855	69	14	resnet	resnet	NOUN
ajst-29855	69	15	models	model	NOUN
ajst-29855	69	16	such	such	ADJ
ajst-29855	69	17	as	as	ADP
ajst-29855	69	18	resnet18	resnet18	NOUN
ajst-29855	69	19	and	and	CCONJ
ajst-29855	69	20	resnet34	resnet34	NOUN
ajst-29855	69	21	,	,	PUNCT
ajst-29855	69	22	while	while	SCONJ
ajst-29855	69	23	the	the	DET
ajst-29855	69	24	bottleneck	bottleneck	NOUN
ajst-29855	69	25	block	block	NOUN
ajst-29855	69	26	is	be	AUX
ajst-29855	69	27	used	use	VERB
ajst-29855	69	28	in	in	ADP
ajst-29855	69	29	deeper	deep	ADJ
ajst-29855	69	30	resnet	resnet	NOUN
ajst-29855	69	31	models	model	NOUN
ajst-29855	69	32	such	such	ADJ
ajst-29855	69	33	as	as	ADP
ajst-29855	69	34	resnet50	resnet50	NOUN
ajst-29855	69	35	,	,	PUNCT
ajst-29855	69	36	resnet101	resnet101	PROPN
ajst-29855	69	37	,	,	PUNCT
ajst-29855	69	38	and	and	CCONJ
ajst-29855	69	39	resnet152	resnet152	PROPN
ajst-29855	69	40	to	to	PART
ajst-29855	69	41	reduce	reduce	VERB
ajst-29855	69	42	the	the	DET
ajst-29855	69	43	amount	amount	NOUN
ajst-29855	69	44	of	of	ADP
ajst-29855	69	45	computation	computation	NOUN
ajst-29855	69	46	and	and	CCONJ
ajst-29855	69	47	number	number	NOUN
ajst-29855	69	48	of	of	ADP
ajst-29855	69	49	parameters	parameter	NOUN
ajst-29855	69	50	.	.	PUNCT
ajst-29855	70	1	compared	compare	VERB
ajst-29855	70	2	to	to	ADP
ajst-29855	70	3	lower	low	ADJ
ajst-29855	70	4	-	-	PUNCT
ajst-29855	70	5	layer	layer	NOUN
ajst-29855	70	6	networks	network	NOUN
ajst-29855	70	7	such	such	ADJ
ajst-29855	70	8	as	as	ADP
ajst-29855	70	9	resnet34	resnet34	NOUN
ajst-29855	70	10	,	,	PUNCT
ajst-29855	70	11	resnet50	resnet50	NOUN
ajst-29855	70	12	provides	provide	VERB
ajst-29855	70	13	more	more	ADJ
ajst-29855	70	14	network	network	NOUN
ajst-29855	70	15	depth	depth	NOUN
ajst-29855	70	16	and	and	CCONJ
ajst-29855	70	17	richer	rich	ADJ
ajst-29855	70	18	feature	feature	NOUN
ajst-29855	70	19	expressiveness	expressiveness	NOUN
ajst-29855	70	20	,	,	PUNCT
ajst-29855	70	21	which	which	PRON
ajst-29855	70	22	is	be	AUX
ajst-29855	70	23	necessary	necessary	ADJ
ajst-29855	70	24	for	for	ADP
ajst-29855	70	25	recognizing	recognize	VERB
ajst-29855	70	26	complex	complex	ADJ
ajst-29855	70	27	details	detail	NOUN
ajst-29855	70	28	and	and	CCONJ
ajst-29855	70	29	variations	variation	NOUN
ajst-29855	70	30	in	in	ADP
ajst-29855	70	31	flocculation	flocculation	NOUN
ajst-29855	70	32	images	image	NOUN
ajst-29855	70	33	.	.	PUNCT
ajst-29855	71	1	compared	compare	VERB
ajst-29855	71	2	with	with	ADP
ajst-29855	71	3	the	the	DET
ajst-29855	71	4	deeper	deep	ADJ
ajst-29855	71	5	resnet	resnet	NOUN
ajst-29855	71	6	networks	network	NOUN
ajst-29855	71	7	,	,	PUNCT
ajst-29855	71	8	although	although	SCONJ
ajst-29855	71	9	the	the	DET
ajst-29855	71	10	latter	latter	NOUN
ajst-29855	71	11	may	may	AUX
ajst-29855	71	12	have	have	VERB
ajst-29855	71	13	a	a	DET
ajst-29855	71	14	slight	slight	ADJ
ajst-29855	71	15	advantage	advantage	NOUN
ajst-29855	71	16	in	in	ADP
ajst-29855	71	17	some	some	DET
ajst-29855	71	18	extremely	extremely	ADV
ajst-29855	71	19	fine	fine	ADJ
ajst-29855	71	20	tasks	task	NOUN
ajst-29855	71	21	,	,	PUNCT
ajst-29855	71	22	resnet50	resnet50	NOUN
ajst-29855	71	23	,	,	PUNCT
ajst-29855	71	24	with	with	ADP
ajst-29855	71	25	its	its	PRON
ajst-29855	71	26	less	less	ADJ
ajst-29855	71	27	consumption	consumption	NOUN
ajst-29855	71	28	of	of	ADP
ajst-29855	71	29	computational	computational	ADJ
ajst-29855	71	30	resources	resource	NOUN
ajst-29855	71	31	and	and	CCONJ
ajst-29855	71	32	shorter	short	ADJ
ajst-29855	71	33	training	training	NOUN
ajst-29855	71	34	time	time	NOUN
ajst-29855	71	35	,	,	PUNCT
ajst-29855	71	36	is	be	AUX
ajst-29855	71	37	more	more	ADV
ajst-29855	71	38	suitable	suitable	ADJ
ajst-29855	71	39	for	for	ADP
ajst-29855	71	40	most	most	ADJ
ajst-29855	71	41	practical	practical	ADJ
ajst-29855	71	42	application	application	NOUN
ajst-29855	71	43	requirements	requirement	NOUN
ajst-29855	71	44	,	,	PUNCT
ajst-29855	71	45	especially	especially	ADV
ajst-29855	71	46	in	in	ADP
ajst-29855	71	47	scenarios	scenario	NOUN
ajst-29855	71	48	that	that	PRON
ajst-29855	71	49	do	do	AUX
ajst-29855	71	50	not	not	PART
ajst-29855	71	51	require	require	VERB
ajst-29855	71	52	extreme	extreme	ADJ
ajst-29855	71	53	performance	performance	NOUN
ajst-29855	71	54	enhancement	enhancement	NOUN
ajst-29855	71	55	but	but	CCONJ
ajst-29855	71	56	focus	focus	VERB
ajst-29855	71	57	more	more	ADJ
ajst-29855	71	58	on	on	ADP
ajst-29855	71	59	50	50	NUM
ajst-29855	71	60	efficiency	efficiency	NOUN
ajst-29855	71	61	and	and	CCONJ
ajst-29855	71	62	resource	resource	NOUN
ajst-29855	71	63	management	management	NOUN
ajst-29855	71	64	.	.	PUNCT
ajst-29855	72	1	therefore	therefore	ADV
ajst-29855	72	2	,	,	PUNCT
ajst-29855	72	3	resnet50	resnet50	NOUN
ajst-29855	72	4	becomes	become	VERB
ajst-29855	72	5	the	the	DET
ajst-29855	72	6	benchmark	benchmark	NOUN
ajst-29855	72	7	network	network	NOUN
ajst-29855	72	8	for	for	ADP
ajst-29855	72	9	drilling	drill	VERB
ajst-29855	72	10	fluid	fluid	ADJ
ajst-29855	72	11	waste	waste	NOUN
ajst-29855	72	12	floc	floc	NOUN
ajst-29855	72	13	image	image	NOUN
ajst-29855	72	14	recognition	recognition	NOUN
ajst-29855	72	15	in	in	ADP
ajst-29855	72	16	this	this	DET
ajst-29855	72	17	paper	paper	NOUN
ajst-29855	72	18	under	under	ADP
ajst-29855	72	19	its	its	PRON
ajst-29855	72	20	moderate	moderate	ADJ
ajst-29855	72	21	depth	depth	NOUN
ajst-29855	72	22	,	,	PUNCT
ajst-29855	72	23	excellent	excellent	ADJ
ajst-29855	72	24	performance	performance	NOUN
ajst-29855	72	25	,	,	PUNCT
ajst-29855	72	26	and	and	CCONJ
ajst-29855	72	27	controllable	controllable	ADJ
ajst-29855	72	28	computational	computational	ADJ
ajst-29855	72	29	cost	cost	NOUN
ajst-29855	72	30	.	.	PUNCT
ajst-29855	73	1	the	the	DET
ajst-29855	73	2	conv	conv	ADJ
ajst-29855	73	3	block	block	NOUN
ajst-29855	73	4	and	and	CCONJ
ajst-29855	73	5	identity	identity	NOUN
ajst-29855	73	6	block	block	NOUN
ajst-29855	73	7	are	be	AUX
ajst-29855	73	8	two	two	NUM
ajst-29855	73	9	basic	basic	ADJ
ajst-29855	73	10	building	building	NOUN
ajst-29855	73	11	blocks	block	NOUN
ajst-29855	73	12	,	,	PUNCT
ajst-29855	73	13	a	a	DET
ajst-29855	73	14	direct	direct	ADJ
ajst-29855	73	15	connection	connection	NOUN
ajst-29855	73	16	,	,	PUNCT
ajst-29855	73	17	where	where	SCONJ
ajst-29855	73	18	the	the	DET
ajst-29855	73	19	input	input	NOUN
ajst-29855	73	20	signal	signal	NOUN
ajst-29855	73	21	is	be	AUX
ajst-29855	73	22	passed	pass	VERB
ajst-29855	73	23	directly	directly	ADV
ajst-29855	73	24	to	to	ADP
ajst-29855	73	25	the	the	DET
ajst-29855	73	26	output	output	NOUN
ajst-29855	73	27	without	without	ADP
ajst-29855	73	28	transformation	transformation	NOUN
ajst-29855	73	29	,	,	PUNCT
ajst-29855	73	30	and	and	CCONJ
ajst-29855	73	31	a	a	DET
ajst-29855	73	32	transformation	transformation	NOUN
ajst-29855	73	33	path	path	NOUN
ajst-29855	73	34	with	with	ADP
ajst-29855	73	35	several	several	ADJ
ajst-29855	73	36	convolutional	convolutional	ADJ
ajst-29855	73	37	layers	layer	NOUN
ajst-29855	73	38	and	and	CCONJ
ajst-29855	73	39	activation	activation	NOUN
ajst-29855	73	40	functions	function	NOUN
ajst-29855	73	41	.	.	PUNCT
ajst-29855	74	1	the	the	DET
ajst-29855	74	2	outputs	output	NOUN
ajst-29855	74	3	of	of	ADP
ajst-29855	74	4	the	the	DET
ajst-29855	74	5	two	two	NUM
ajst-29855	74	6	paths	path	NOUN
ajst-29855	74	7	are	be	AUX
ajst-29855	74	8	summed	sum	VERB
ajst-29855	74	9	up	up	ADP
ajst-29855	74	10	at	at	ADP
ajst-29855	74	11	the	the	DET
ajst-29855	74	12	end	end	NOUN
ajst-29855	74	13	of	of	ADP
ajst-29855	74	14	the	the	DET
ajst-29855	74	15	block	block	NOUN
ajst-29855	74	16	to	to	PART
ajst-29855	74	17	form	form	VERB
ajst-29855	74	18	a	a	DET
ajst-29855	74	19	so	so	ADV
ajst-29855	74	20	-	-	PUNCT
ajst-29855	74	21	called	call	VERB
ajst-29855	74	22	"	"	PUNCT
ajst-29855	74	23	residual	residual	ADJ
ajst-29855	74	24	connection	connection	NOUN
ajst-29855	74	25	"	"	PUNCT
ajst-29855	74	26	.	.	PUNCT
ajst-29855	75	1	this	this	DET
ajst-29855	75	2	design	design	NOUN
ajst-29855	75	3	not	not	PART
ajst-29855	75	4	only	only	ADV
ajst-29855	75	5	ensures	ensure	VERB
ajst-29855	75	6	the	the	DET
ajst-29855	75	7	optimization	optimization	NOUN
ajst-29855	75	8	feasibility	feasibility	NOUN
ajst-29855	75	9	of	of	ADP
ajst-29855	75	10	the	the	DET
ajst-29855	75	11	deep	deep	ADJ
ajst-29855	75	12	network	network	NOUN
ajst-29855	75	13	but	but	CCONJ
ajst-29855	75	14	also	also	ADV
ajst-29855	75	15	makes	make	VERB
ajst-29855	75	16	the	the	DET
ajst-29855	75	17	network	network	NOUN
ajst-29855	75	18	learn	learn	VERB
ajst-29855	75	19	the	the	DET
ajst-29855	75	20	residual	residual	ADJ
ajst-29855	75	21	information	information	NOUN
ajst-29855	75	22	from	from	ADP
ajst-29855	75	23	input	input	NOUN
ajst-29855	75	24	to	to	ADP
ajst-29855	75	25	output	output	NOUN
ajst-29855	75	26	,	,	PUNCT
ajst-29855	75	27	which	which	PRON
ajst-29855	75	28	reduces	reduce	VERB
ajst-29855	75	29	the	the	DET
ajst-29855	75	30	learning	learning	NOUN
ajst-29855	75	31	difficulty	difficulty	NOUN
ajst-29855	75	32	.	.	PUNCT
ajst-29855	76	1	in	in	ADP
ajst-29855	76	2	resnet50	resnet50	NOUN
ajst-29855	76	3	,	,	PUNCT
ajst-29855	76	4	these	these	DET
ajst-29855	76	5	blocks	block	NOUN
ajst-29855	76	6	are	be	AUX
ajst-29855	76	7	flexibly	flexibly	ADV
ajst-29855	76	8	arranged	arrange	VERB
ajst-29855	76	9	according	accord	VERB
ajst-29855	76	10	to	to	ADP
ajst-29855	76	11	the	the	DET
ajst-29855	76	12	need	need	NOUN
ajst-29855	76	13	for	for	ADP
ajst-29855	76	14	network	network	NOUN
ajst-29855	76	15	depth	depth	NOUN
ajst-29855	76	16	.	.	PUNCT
ajst-29855	77	1	the	the	DET
ajst-29855	77	2	identity	identity	NOUN
ajst-29855	77	3	block	block	NOUN
ajst-29855	77	4	is	be	AUX
ajst-29855	77	5	usually	usually	ADV
ajst-29855	77	6	stacked	stack	VERB
ajst-29855	77	7	consecutively	consecutively	ADV
ajst-29855	77	8	after	after	SCONJ
ajst-29855	77	9	the	the	DET
ajst-29855	77	10	conv	conv	ADJ
ajst-29855	77	11	block	block	NOUN
ajst-29855	77	12	to	to	PART
ajst-29855	77	13	increase	increase	VERB
ajst-29855	77	14	the	the	DET
ajst-29855	77	15	depth	depth	NOUN
ajst-29855	77	16	of	of	ADP
ajst-29855	77	17	the	the	DET
ajst-29855	77	18	network	network	NOUN
ajst-29855	77	19	without	without	ADP
ajst-29855	77	20	changing	change	VERB
ajst-29855	77	21	the	the	DET
ajst-29855	77	22	size	size	NOUN
ajst-29855	77	23	of	of	ADP
ajst-29855	77	24	the	the	DET
ajst-29855	77	25	feature	feature	NOUN
ajst-29855	77	26	map	map	NOUN
ajst-29855	77	27	,	,	PUNCT
ajst-29855	77	28	while	while	SCONJ
ajst-29855	77	29	the	the	DET
ajst-29855	77	30	conv	conv	ADJ
ajst-29855	77	31	block	block	NOUN
ajst-29855	77	32	is	be	AUX
ajst-29855	77	33	inserted	insert	VERB
ajst-29855	77	34	when	when	SCONJ
ajst-29855	77	35	necessary	necessary	ADJ
ajst-29855	77	36	to	to	PART
ajst-29855	77	37	adapt	adapt	VERB
ajst-29855	77	38	to	to	ADP
ajst-29855	77	39	the	the	DET
ajst-29855	77	40	change	change	NOUN
ajst-29855	77	41	of	of	ADP
ajst-29855	77	42	the	the	DET
ajst-29855	77	43	feature	feature	NOUN
ajst-29855	77	44	map	map	NOUN
ajst-29855	77	45	size	size	NOUN
ajst-29855	77	46	or	or	CCONJ
ajst-29855	77	47	to	to	PART
ajst-29855	77	48	increase	increase	VERB
ajst-29855	77	49	the	the	DET
ajst-29855	77	50	expressive	expressive	ADJ
ajst-29855	77	51	power	power	NOUN
ajst-29855	77	52	of	of	ADP
ajst-29855	77	53	the	the	DET
ajst-29855	77	54	network	network	NOUN
ajst-29855	77	55	.	.	PUNCT
ajst-29855	78	1	figure	figure	NOUN
ajst-29855	78	2	4	4	NUM
ajst-29855	78	3	shows	show	VERB
ajst-29855	78	4	the	the	DET
ajst-29855	78	5	bottleneck	bottleneck	NOUN
ajst-29855	78	6	block	block	NOUN
ajst-29855	78	7	module	module	NOUN
ajst-29855	78	8	structure	structure	NOUN
ajst-29855	78	9	.	.	PUNCT
ajst-29855	79	1	figure	figure	VERB
ajst-29855	79	2	4	4	NUM
ajst-29855	79	3	.	.	NOUN
ajst-29855	79	4	bottleneck	bottleneck	NOUN
ajst-29855	79	5	block	block	NOUN
ajst-29855	79	6	module	module	NOUN
ajst-29855	79	7	structure	structure	NOUN
ajst-29855	79	8	in	in	ADP
ajst-29855	79	9	terms	term	NOUN
ajst-29855	79	10	of	of	ADP
ajst-29855	79	11	the	the	DET
ajst-29855	79	12	overall	overall	ADJ
ajst-29855	79	13	structure	structure	NOUN
ajst-29855	79	14	,	,	PUNCT
ajst-29855	79	15	resnet50	resnet50	NOUN
ajst-29855	79	16	starts	start	VERB
ajst-29855	79	17	with	with	ADP
ajst-29855	79	18	a	a	DET
ajst-29855	79	19	7x7	7x7	NUM
ajst-29855	79	20	convolutional	convolutional	ADJ
ajst-29855	79	21	layer	layer	NOUN
ajst-29855	79	22	and	and	CCONJ
ajst-29855	79	23	a	a	DET
ajst-29855	79	24	maximum	maximum	ADJ
ajst-29855	79	25	pooling	pool	VERB
ajst-29855	79	26	layer	layer	NOUN
ajst-29855	79	27	to	to	PART
ajst-29855	79	28	initially	initially	ADV
ajst-29855	79	29	extract	extract	VERB
ajst-29855	79	30	and	and	CCONJ
ajst-29855	79	31	narrow	narrow	VERB
ajst-29855	79	32	down	down	ADP
ajst-29855	79	33	the	the	DET
ajst-29855	79	34	input	input	NOUN
ajst-29855	79	35	image	image	NOUN
ajst-29855	79	36	features	feature	NOUN
ajst-29855	79	37	.	.	PUNCT
ajst-29855	80	1	subsequently	subsequently	ADV
ajst-29855	80	2	,	,	PUNCT
ajst-29855	80	3	the	the	DET
ajst-29855	80	4	network	network	NOUN
ajst-29855	80	5	is	be	AUX
ajst-29855	80	6	divided	divide	VERB
ajst-29855	80	7	into	into	ADP
ajst-29855	80	8	four	four	NUM
ajst-29855	80	9	progressively	progressively	ADV
ajst-29855	80	10	deeper	deep	ADJ
ajst-29855	80	11	layers	layer	NOUN
ajst-29855	80	12	(	(	PUNCT
ajst-29855	80	13	stages	stage	NOUN
ajst-29855	80	14	)	)	PUNCT
ajst-29855	80	15	,	,	PUNCT
ajst-29855	80	16	each	each	PRON
ajst-29855	80	17	consisting	consist	VERB
ajst-29855	80	18	of	of	ADP
ajst-29855	80	19	multiple	multiple	ADJ
ajst-29855	80	20	residual	residual	ADJ
ajst-29855	80	21	blocks	block	NOUN
ajst-29855	80	22	;	;	PUNCT
ajst-29855	80	23	the	the	DET
ajst-29855	80	24	residual	residual	ADJ
ajst-29855	80	25	blocks	block	NOUN
ajst-29855	80	26	of	of	ADP
ajst-29855	80	27	the	the	DET
ajst-29855	80	28	initial	initial	ADJ
ajst-29855	80	29	layers	layer	NOUN
ajst-29855	80	30	contain	contain	VERB
ajst-29855	80	31	downsampling	downsample	VERB
ajst-29855	80	32	operations	operation	NOUN
ajst-29855	80	33	,	,	PUNCT
ajst-29855	80	34	while	while	SCONJ
ajst-29855	80	35	the	the	DET
ajst-29855	80	36	remaining	remain	VERB
ajst-29855	80	37	layers	layer	NOUN
ajst-29855	80	38	keep	keep	VERB
ajst-29855	80	39	the	the	DET
ajst-29855	80	40	dimensionality	dimensionality	NOUN
ajst-29855	80	41	constant	constant	ADJ
ajst-29855	80	42	mainly	mainly	ADV
ajst-29855	80	43	through	through	ADP
ajst-29855	80	44	constant	constant	ADJ
ajst-29855	80	45	blocks	block	NOUN
ajst-29855	80	46	.	.	PUNCT
ajst-29855	81	1	specifically	specifically	ADV
ajst-29855	81	2	,	,	PUNCT
ajst-29855	81	3	resnet50	resnet50	NOUN
ajst-29855	81	4	employs	employ	VERB
ajst-29855	81	5	bottleneck	bottleneck	NOUN
ajst-29855	81	6	block	block	NOUN
ajst-29855	81	7	residual	residual	ADJ
ajst-29855	81	8	blocks	block	NOUN
ajst-29855	81	9	,	,	PUNCT
ajst-29855	81	10	i.e.	i.e.	X
ajst-29855	81	11	,	,	PUNCT
ajst-29855	81	12	a	a	DET
ajst-29855	81	13	series	series	NOUN
ajst-29855	81	14	of	of	ADP
ajst-29855	81	15	1x1	1x1	NUM
ajst-29855	81	16	,	,	PUNCT
ajst-29855	81	17	3x3	3x3	NUM
ajst-29855	81	18	,	,	PUNCT
ajst-29855	81	19	and	and	CCONJ
ajst-29855	81	20	1x1	1x1	NUM
ajst-29855	81	21	convolutional	convolutional	ADJ
ajst-29855	81	22	layers	layer	NOUN
ajst-29855	81	23	within	within	ADP
ajst-29855	81	24	each	each	DET
ajst-29855	81	25	block	block	NOUN
ajst-29855	81	26	,	,	PUNCT
ajst-29855	81	27	aiming	aim	VERB
ajst-29855	81	28	to	to	PART
ajst-29855	81	29	efficiently	efficiently	ADV
ajst-29855	81	30	integrate	integrate	VERB
ajst-29855	81	31	and	and	CCONJ
ajst-29855	81	32	extract	extract	VERB
ajst-29855	81	33	features	feature	NOUN
ajst-29855	81	34	while	while	SCONJ
ajst-29855	81	35	controlling	control	VERB
ajst-29855	81	36	model	model	NOUN
ajst-29855	81	37	complexity	complexity	NOUN
ajst-29855	81	38	.	.	PUNCT
ajst-29855	82	1	after	after	ADP
ajst-29855	82	2	layers	layer	NOUN
ajst-29855	82	3	of	of	ADP
ajst-29855	82	4	deepening	deepen	VERB
ajst-29855	82	5	,	,	PUNCT
ajst-29855	82	6	the	the	DET
ajst-29855	82	7	feature	feature	NOUN
ajst-29855	82	8	maps	map	NOUN
ajst-29855	82	9	are	be	AUX
ajst-29855	82	10	converted	convert	VERB
ajst-29855	82	11	to	to	ADP
ajst-29855	82	12	fixed	fix	VERB
ajst-29855	82	13	-	-	PUNCT
ajst-29855	82	14	length	length	NOUN
ajst-29855	82	15	vectors	vector	NOUN
ajst-29855	82	16	by	by	ADP
ajst-29855	82	17	global	global	ADJ
ajst-29855	82	18	average	average	ADJ
ajst-29855	82	19	pooling	pooling	NOUN
ajst-29855	82	20	,	,	PUNCT
ajst-29855	82	21	then	then	ADV
ajst-29855	82	22	fed	feed	VERB
ajst-29855	82	23	into	into	ADP
ajst-29855	82	24	the	the	DET
ajst-29855	82	25	fully	fully	ADV
ajst-29855	82	26	connected	connected	ADJ
ajst-29855	82	27	layers	layer	NOUN
ajst-29855	82	28	to	to	PART
ajst-29855	82	29	complete	complete	VERB
ajst-29855	82	30	the	the	DET
ajst-29855	82	31	classification	classification	NOUN
ajst-29855	82	32	task	task	NOUN
ajst-29855	82	33	,	,	PUNCT
ajst-29855	82	34	and	and	CCONJ
ajst-29855	82	35	finally	finally	ADV
ajst-29855	82	36	output	output	VERB
ajst-29855	82	37	the	the	DET
ajst-29855	82	38	probabilities	probability	NOUN
ajst-29855	82	39	of	of	ADP
ajst-29855	82	40	each	each	DET
ajst-29855	82	41	category	category	NOUN
ajst-29855	82	42	via	via	ADP
ajst-29855	82	43	the	the	DET
ajst-29855	82	44	softmax	softmax	NOUN
ajst-29855	82	45	function	function	NOUN
ajst-29855	82	46	.	.	PUNCT
ajst-29855	83	1	this	this	DET
ajst-29855	83	2	unique	unique	ADJ
ajst-29855	83	3	residual	residual	ADJ
ajst-29855	83	4	learning	learning	NOUN
ajst-29855	83	5	framework	framework	NOUN
ajst-29855	83	6	effectively	effectively	ADV
ajst-29855	83	7	alleviates	alleviate	VERB
ajst-29855	83	8	the	the	DET
ajst-29855	83	9	gradient	gradient	NOUN
ajst-29855	83	10	vanishing	vanishing	NOUN
ajst-29855	83	11	and	and	CCONJ
ajst-29855	83	12	degradation	degradation	NOUN
ajst-29855	83	13	problems	problem	NOUN
ajst-29855	83	14	in	in	ADP
ajst-29855	83	15	deep	deep	ADJ
ajst-29855	83	16	network	network	NOUN
ajst-29855	83	17	training	training	NOUN
ajst-29855	83	18	.	.	PUNCT
ajst-29855	84	1	the	the	DET
ajst-29855	84	2	classical	classical	ADJ
ajst-29855	84	3	resnet50	resnet50	NOUN
ajst-29855	84	4	model	model	NOUN
ajst-29855	84	5	network	network	NOUN
ajst-29855	84	6	structure	structure	NOUN
ajst-29855	84	7	is	be	AUX
ajst-29855	84	8	shown	show	VERB
ajst-29855	84	9	in	in	ADP
ajst-29855	84	10	figure	figure	NOUN
ajst-29855	84	11	5	5	NUM
ajst-29855	84	12	.	.	PUNCT
ajst-29855	84	13	figure	figure	NOUN
ajst-29855	84	14	5	5	NUM
ajst-29855	84	15	.	.	PUNCT
ajst-29855	85	1	network	network	NOUN
ajst-29855	85	2	structure	structure	NOUN
ajst-29855	85	3	of	of	ADP
ajst-29855	85	4	classic	classic	ADJ
ajst-29855	85	5	resnet50	resnet50	NOUN
ajst-29855	85	6	model	model	NOUN
ajst-29855	85	7	3.2	3.2	NUM
ajst-29855	85	8	.	.	PUNCT
ajst-29855	86	1	improved	improve	VERB
ajst-29855	86	2	resnet	resnet	NOUN
ajst-29855	86	3	model	model	NOUN
ajst-29855	86	4	3.2.1	3.2.1	NUM
ajst-29855	86	5	.	.	PUNCT
ajst-29855	87	1	gam	gam	PRON
ajst-29855	87	2	global	global	ADJ
ajst-29855	87	3	attention	attention	NOUN
ajst-29855	87	4	mechanism	mechanism	NOUN
ajst-29855	87	5	due	due	ADP
ajst-29855	87	6	to	to	ADP
ajst-29855	87	7	the	the	DET
ajst-29855	87	8	complexity	complexity	NOUN
ajst-29855	87	9	of	of	ADP
ajst-29855	87	10	drilling	drill	VERB
ajst-29855	87	11	fluid	fluid	ADJ
ajst-29855	87	12	waste	waste	NOUN
ajst-29855	87	13	floc	floc	NOUN
ajst-29855	87	14	images	image	NOUN
ajst-29855	87	15	,	,	PUNCT
ajst-29855	87	16	the	the	DET
ajst-29855	87	17	recognition	recognition	NOUN
ajst-29855	87	18	model	model	NOUN
ajst-29855	87	19	needs	need	VERB
ajst-29855	87	20	to	to	PART
ajst-29855	87	21	accurately	accurately	ADV
ajst-29855	87	22	identify	identify	VERB
ajst-29855	87	23	valid	valid	ADJ
ajst-29855	87	24	information	information	NOUN
ajst-29855	87	25	such	such	ADJ
ajst-29855	87	26	as	as	ADP
ajst-29855	87	27	flocs	floc	NOUN
ajst-29855	87	28	or	or	CCONJ
ajst-29855	87	29	particulate	particulate	NOUN
ajst-29855	87	30	matter	matter	NOUN
ajst-29855	87	31	from	from	ADP
ajst-29855	87	32	images	image	NOUN
ajst-29855	87	33	containing	contain	VERB
ajst-29855	87	34	a	a	DET
ajst-29855	87	35	large	large	ADJ
ajst-29855	87	36	amount	amount	NOUN
ajst-29855	87	37	of	of	ADP
ajst-29855	87	38	interfering	interfere	VERB
ajst-29855	87	39	information	information	NOUN
ajst-29855	87	40	,	,	PUNCT
ajst-29855	87	41	while	while	SCONJ
ajst-29855	87	42	the	the	DET
ajst-29855	87	43	attention	attention	NOUN
ajst-29855	87	44	mechanism	mechanism	NOUN
ajst-29855	87	45	allows	allow	VERB
ajst-29855	87	46	the	the	DET
ajst-29855	87	47	network	network	NOUN
ajst-29855	87	48	to	to	PART
ajst-29855	87	49	automatically	automatically	ADV
ajst-29855	87	50	focus	focus	VERB
ajst-29855	87	51	on	on	ADP
ajst-29855	87	52	the	the	DET
ajst-29855	87	53	most	most	ADV
ajst-29855	87	54	relevant	relevant	ADJ
ajst-29855	87	55	parts	part	NOUN
ajst-29855	87	56	or	or	CCONJ
ajst-29855	87	57	features	feature	NOUN
ajst-29855	87	58	of	of	ADP
ajst-29855	87	59	the	the	DET
ajst-29855	87	60	image	image	NOUN
ajst-29855	87	61	,	,	PUNCT
ajst-29855	87	62	ignoring	ignore	VERB
ajst-29855	87	63	background	background	NOUN
ajst-29855	87	64	noise	noise	NOUN
ajst-29855	87	65	and	and	CCONJ
ajst-29855	87	66	other	other	ADJ
ajst-29855	87	67	unimportant	unimportant	ADJ
ajst-29855	87	68	information	information	NOUN
ajst-29855	87	69	.	.	PUNCT
ajst-29855	88	1	this	this	PRON
ajst-29855	88	2	is	be	AUX
ajst-29855	88	3	particularly	particularly	ADV
ajst-29855	88	4	important	important	ADJ
ajst-29855	88	5	for	for	ADP
ajst-29855	88	6	the	the	DET
ajst-29855	88	7	recognition	recognition	NOUN
ajst-29855	88	8	of	of	ADP
ajst-29855	88	9	the	the	DET
ajst-29855	88	10	fine	fine	ADJ
ajst-29855	88	11	structure	structure	NOUN
ajst-29855	88	12	and	and	CCONJ
ajst-29855	88	13	morphology	morphology	NOUN
ajst-29855	88	14	of	of	ADP
ajst-29855	88	15	flocs	floc	NOUN
ajst-29855	88	16	,	,	PUNCT
ajst-29855	88	17	which	which	PRON
ajst-29855	88	18	may	may	AUX
ajst-29855	88	19	only	only	ADV
ajst-29855	88	20	account	account	VERB
ajst-29855	88	21	for	for	ADP
ajst-29855	88	22	a	a	DET
ajst-29855	88	23	small	small	ADJ
ajst-29855	88	24	portion	portion	NOUN
ajst-29855	88	25	of	of	ADP
ajst-29855	88	26	the	the	DET
ajst-29855	88	27	entire	entire	ADJ
ajst-29855	88	28	image	image	NOUN
ajst-29855	88	29	.	.	PUNCT
ajst-29855	89	1	therefore	therefore	ADV
ajst-29855	89	2	adding	add	VERB
ajst-29855	89	3	an	an	DET
ajst-29855	89	4	attention	attention	NOUN
ajst-29855	89	5	mechanism	mechanism	NOUN
ajst-29855	89	6	to	to	ADP
ajst-29855	89	7	the	the	DET
ajst-29855	89	8	floc	floc	NOUN
ajst-29855	89	9	recognition	recognition	NOUN
ajst-29855	89	10	network	network	NOUN
ajst-29855	89	11	can	can	AUX
ajst-29855	89	12	enhance	enhance	VERB
ajst-29855	89	13	its	its	PRON
ajst-29855	89	14	ability	ability	NOUN
ajst-29855	89	15	to	to	PART
ajst-29855	89	16	capture	capture	VERB
ajst-29855	89	17	subtle	subtle	ADJ
ajst-29855	89	18	features	feature	NOUN
ajst-29855	89	19	in	in	ADP
ajst-29855	89	20	drilling	drill	VERB
ajst-29855	89	21	fluid	fluid	ADJ
ajst-29855	89	22	waste	waste	NOUN
ajst-29855	89	23	flocs	floc	NOUN
ajst-29855	89	24	and	and	CCONJ
ajst-29855	89	25	improve	improve	VERB
ajst-29855	89	26	the	the	DET
ajst-29855	89	27	accuracy	accuracy	NOUN
ajst-29855	89	28	and	and	CCONJ
ajst-29855	89	29	robustness	robustness	NOUN
ajst-29855	89	30	of	of	ADP
ajst-29855	89	31	the	the	DET
ajst-29855	89	32	recognition	recognition	NOUN
ajst-29855	89	33	.	.	PUNCT
ajst-29855	90	1	in	in	ADP
ajst-29855	90	2	this	this	DET
ajst-29855	90	3	paper	paper	NOUN
ajst-29855	90	4	,	,	PUNCT
ajst-29855	90	5	we	we	PRON
ajst-29855	90	6	chose	choose	VERB
ajst-29855	90	7	to	to	PART
ajst-29855	90	8	add	add	VERB
ajst-29855	90	9	the	the	DET
ajst-29855	90	10	gam	gam	NOUN
ajst-29855	90	11	global	global	ADJ
ajst-29855	90	12	attention	attention	NOUN
ajst-29855	90	13	mechanism	mechanism	NOUN
ajst-29855	90	14	to	to	ADP
ajst-29855	90	15	the	the	DET
ajst-29855	90	16	original	original	ADJ
ajst-29855	90	17	resnet50	resnet50	NOUN
ajst-29855	90	18	model	model	NOUN
ajst-29855	90	19	to	to	PART
ajst-29855	90	20	improve	improve	VERB
ajst-29855	90	21	the	the	DET
ajst-29855	90	22	model	model	NOUN
ajst-29855	90	23	's	's	PART
ajst-29855	90	24	feature	feature	NOUN
ajst-29855	90	25	extraction	extraction	NOUN
ajst-29855	90	26	capability	capability	NOUN
ajst-29855	90	27	for	for	ADP
ajst-29855	90	28	drilling	drill	VERB
ajst-29855	90	29	fluid	fluid	ADJ
ajst-29855	90	30	waste	waste	NOUN
ajst-29855	90	31	floc	floc	NOUN
ajst-29855	90	32	images25.gam	images25.gam	PROPN
ajst-29855	90	33	usually	usually	ADV
ajst-29855	90	34	contains	contain	VERB
ajst-29855	90	35	two	two	NUM
ajst-29855	90	36	key	key	ADJ
ajst-29855	90	37	components	component	NOUN
ajst-29855	90	38	:	:	PUNCT
ajst-29855	90	39	channel	channel	PROPN
ajst-29855	90	40	attention(ca	attention(ca	NOUN
ajst-29855	90	41	)	)	PUNCT
ajst-29855	90	42	and	and	CCONJ
ajst-29855	90	43	spatial	spatial	ADJ
ajst-29855	90	44	attention	attention	NOUN
ajst-29855	90	45	(	(	PUNCT
ajst-29855	90	46	sa	sa	NOUN
ajst-29855	90	47	)	)	PUNCT
ajst-29855	90	48	.	.	PUNCT
ajst-29855	91	1	unlike	unlike	ADP
ajst-29855	91	2	earlier	early	ADJ
ajst-29855	91	3	attention	attention	NOUN
ajst-29855	91	4	mechanisms	mechanism	NOUN
ajst-29855	91	5	such	such	ADJ
ajst-29855	91	6	as	as	ADP
ajst-29855	91	7	senet	senet	NOUN
ajst-29855	91	8	which	which	PRON
ajst-29855	91	9	focuses	focus	VERB
ajst-29855	91	10	only	only	ADV
ajst-29855	91	11	on	on	ADP
ajst-29855	91	12	the	the	DET
ajst-29855	91	13	allocation	allocation	NOUN
ajst-29855	91	14	of	of	ADP
ajst-29855	91	15	attention	attention	NOUN
ajst-29855	91	16	in	in	ADP
ajst-29855	91	17	the	the	DET
ajst-29855	91	18	channel	channel	NOUN
ajst-29855	91	19	dimension26	dimension26	NOUN
ajst-29855	91	20	.	.	PUNCT
ajst-29855	92	1	cbam	cbam	NOUN
ajst-29855	92	2	combines	combine	VERB
ajst-29855	92	3	channel	channel	NOUN
ajst-29855	92	4	and	and	CCONJ
ajst-29855	92	5	spatial	spatial	ADJ
ajst-29855	92	6	attention	attention	NOUN
ajst-29855	92	7	but	but	CCONJ
ajst-29855	92	8	still	still	ADV
ajst-29855	92	9	has	have	VERB
ajst-29855	92	10	room	room	NOUN
ajst-29855	92	11	for	for	SCONJ
ajst-29855	92	12	improvement27.gam	improvement27.gam	PROPN
ajst-29855	92	13	optimally	optimally	ADV
ajst-29855	92	14	integrates	integrate	VERB
ajst-29855	92	15	these	these	DET
ajst-29855	92	16	two	two	NUM
ajst-29855	92	17	dimensions	dimension	NOUN
ajst-29855	92	18	for	for	ADP
ajst-29855	92	19	more	more	ADV
ajst-29855	92	20	efficient	efficient	ADJ
ajst-29855	92	21	feature	feature	NOUN
ajst-29855	92	22	representation	representation	NOUN
ajst-29855	92	23	.	.	PUNCT
ajst-29855	93	1	figure	figure	NOUN
ajst-29855	93	2	6	6	NUM
ajst-29855	93	3	shows	show	VERB
ajst-29855	93	4	the	the	DET
ajst-29855	93	5	structure	structure	NOUN
ajst-29855	93	6	of	of	ADP
ajst-29855	93	7	the	the	DET
ajst-29855	93	8	global	global	ADJ
ajst-29855	93	9	attention	attention	NOUN
ajst-29855	93	10	mechanism	mechanism	NOUN
ajst-29855	93	11	.	.	PUNCT
ajst-29855	94	1	51	51	NUM
ajst-29855	94	2	figure	figure	NOUN
ajst-29855	94	3	6	6	NUM
ajst-29855	94	4	.	.	PUNCT
ajst-29855	94	5	global	global	ADJ
ajst-29855	94	6	attention	attention	NOUN
ajst-29855	94	7	mechanism	mechanism	NOUN
ajst-29855	94	8	structure	structure	NOUN
ajst-29855	94	9	(	(	PUNCT
ajst-29855	94	10	1	1	NUM
ajst-29855	94	11	)	)	PUNCT
ajst-29855	94	12	channel	channel	NOUN
ajst-29855	94	13	attention	attention	NOUN
ajst-29855	94	14	submodule	submodule	NOUN
ajst-29855	94	15	the	the	DET
ajst-29855	94	16	channel	channel	NOUN
ajst-29855	94	17	attention	attention	NOUN
ajst-29855	94	18	submodule	submodule	NOUN
ajst-29855	94	19	in	in	ADP
ajst-29855	94	20	gam	gam	NOUN
ajst-29855	94	21	is	be	AUX
ajst-29855	94	22	designed	design	VERB
ajst-29855	94	23	to	to	PART
ajst-29855	94	24	automatically	automatically	ADV
ajst-29855	94	25	assign	assign	VERB
ajst-29855	94	26	weights	weight	NOUN
ajst-29855	94	27	to	to	ADP
ajst-29855	94	28	each	each	DET
ajst-29855	94	29	channel	channel	NOUN
ajst-29855	94	30	of	of	ADP
ajst-29855	94	31	the	the	DET
ajst-29855	94	32	input	input	NOUN
ajst-29855	94	33	feature	feature	NOUN
ajst-29855	94	34	map	map	NOUN
ajst-29855	94	35	through	through	ADP
ajst-29855	94	36	a	a	DET
ajst-29855	94	37	series	series	NOUN
ajst-29855	94	38	of	of	ADP
ajst-29855	94	39	operations	operation	NOUN
ajst-29855	94	40	to	to	PART
ajst-29855	94	41	highlight	highlight	VERB
ajst-29855	94	42	useful	useful	ADJ
ajst-29855	94	43	features	feature	NOUN
ajst-29855	94	44	and	and	CCONJ
ajst-29855	94	45	suppress	suppress	VERB
ajst-29855	94	46	irrelevant	irrelevant	ADJ
ajst-29855	94	47	information	information	NOUN
ajst-29855	94	48	.	.	PUNCT
ajst-29855	95	1	it	it	PRON
ajst-29855	95	2	uses	use	VERB
ajst-29855	95	3	a	a	DET
ajst-29855	95	4	threedimensional	threedimensional	ADJ
ajst-29855	95	5	arrangement	arrangement	NOUN
ajst-29855	95	6	to	to	PART
ajst-29855	95	7	retain	retain	VERB
ajst-29855	95	8	information	information	NOUN
ajst-29855	95	9	in	in	ADP
ajst-29855	95	10	three	three	NUM
ajst-29855	95	11	dimensions	dimension	NOUN
ajst-29855	95	12	.	.	PUNCT
ajst-29855	96	1	it	it	PRON
ajst-29855	96	2	then	then	ADV
ajst-29855	96	3	amplifies	amplify	VERB
ajst-29855	96	4	the	the	DET
ajst-29855	96	5	cross	cross	ADJ
ajst-29855	96	6	-	-	ADJ
ajst-29855	96	7	dimensional	dimensional	ADJ
ajst-29855	96	8	channelspace	channelspace	NOUN
ajst-29855	96	9	dependencies	dependency	NOUN
ajst-29855	96	10	with	with	ADP
ajst-29855	96	11	a	a	DET
ajst-29855	96	12	two	two	NUM
ajst-29855	96	13	-	-	PUNCT
ajst-29855	96	14	layer	layer	NOUN
ajst-29855	96	15	mlp	mlp	NOUN
ajst-29855	96	16	(	(	PUNCT
ajst-29855	96	17	multilayer	multilayer	PROPN
ajst-29855	96	18	perceptron	perceptron	PROPN
ajst-29855	96	19	)	)	PUNCT
ajst-29855	96	20	.	.	PUNCT
ajst-29855	97	1	the	the	DET
ajst-29855	97	2	number	number	NOUN
ajst-29855	97	3	of	of	ADP
ajst-29855	97	4	channels	channel	NOUN
ajst-29855	97	5	is	be	AUX
ajst-29855	97	6	compressed	compress	VERB
ajst-29855	97	7	in	in	ADP
ajst-29855	97	8	layer	layer	NOUN
ajst-29855	97	9	1	1	NUM
ajst-29855	97	10	of	of	ADP
ajst-29855	97	11	the	the	DET
ajst-29855	97	12	mlp	mlp	PROPN
ajst-29855	97	13	perceptron	perceptron	PROPN
ajst-29855	97	14	with	with	ADP
ajst-29855	97	15	a	a	DET
ajst-29855	97	16	compression	compression	NOUN
ajst-29855	97	17	ratio	ratio	NOUN
ajst-29855	97	18	of	of	ADP
ajst-29855	97	19	size	size	NOUN
ajst-29855	97	20	r	r	NOUN
ajst-29855	97	21	to	to	PART
ajst-29855	97	22	reduce	reduce	VERB
ajst-29855	97	23	the	the	DET
ajst-29855	97	24	computational	computational	ADJ
ajst-29855	97	25	effort	effort	NOUN
ajst-29855	97	26	in	in	ADP
ajst-29855	97	27	the	the	DET
ajst-29855	97	28	attention	attention	NOUN
ajst-29855	97	29	mechanism	mechanism	NOUN
ajst-29855	97	30	.	.	PUNCT
ajst-29855	98	1	then	then	ADV
ajst-29855	98	2	in	in	ADP
ajst-29855	98	3	layer	layer	NOUN
ajst-29855	98	4	2	2	NUM
ajst-29855	98	5	,	,	PUNCT
ajst-29855	98	6	the	the	DET
ajst-29855	98	7	mlp	mlp	PROPN
ajst-29855	98	8	perceptron	perceptron	PROPN
ajst-29855	98	9	restores	restore	VERB
ajst-29855	98	10	the	the	DET
ajst-29855	98	11	number	number	NOUN
ajst-29855	98	12	of	of	ADP
ajst-29855	98	13	channels	channel	NOUN
ajst-29855	98	14	to	to	ADP
ajst-29855	98	15	the	the	DET
ajst-29855	98	16	original	original	ADJ
ajst-29855	98	17	number	number	NOUN
ajst-29855	98	18	of	of	ADP
ajst-29855	98	19	channels	channel	NOUN
ajst-29855	98	20	,	,	PUNCT
ajst-29855	98	21	and	and	CCONJ
ajst-29855	98	22	finally	finally	ADV
ajst-29855	98	23	generates	generate	VERB
ajst-29855	98	24	the	the	DET
ajst-29855	98	25	channel	channel	NOUN
ajst-29855	98	26	weight	weight	NOUN
ajst-29855	98	27	coefficients	coefficient	NOUN
ajst-29855	98	28	using	use	VERB
ajst-29855	98	29	the	the	DET
ajst-29855	98	30	sigmoid	sigmoid	NOUN
ajst-29855	98	31	function	function	NOUN
ajst-29855	98	32	,	,	PUNCT
ajst-29855	98	33	and	and	CCONJ
ajst-29855	98	34	multiplies	multiply	VERB
ajst-29855	98	35	the	the	DET
ajst-29855	98	36	obtained	obtain	VERB
ajst-29855	98	37	channel	channel	NOUN
ajst-29855	98	38	weight	weight	NOUN
ajst-29855	98	39	coefficients	coefficient	NOUN
ajst-29855	98	40	with	with	ADP
ajst-29855	98	41	the	the	DET
ajst-29855	98	42	input	input	NOUN
ajst-29855	98	43	feature	feature	NOUN
ajst-29855	98	44	map	map	NOUN
ajst-29855	98	45	to	to	PART
ajst-29855	98	46	do	do	VERB
ajst-29855	98	47	the	the	DET
ajst-29855	98	48	weighting	weighting	NOUN
ajst-29855	98	49	process	process	NOUN
ajst-29855	98	50	.	.	PUNCT
ajst-29855	99	1	the	the	DET
ajst-29855	99	2	structure	structure	NOUN
ajst-29855	99	3	of	of	ADP
ajst-29855	99	4	the	the	DET
ajst-29855	99	5	channel	channel	NOUN
ajst-29855	99	6	attention	attention	NOUN
ajst-29855	99	7	submodule	submodule	NOUN
ajst-29855	99	8	is	be	AUX
ajst-29855	99	9	shown	show	VERB
ajst-29855	99	10	in	in	ADP
ajst-29855	99	11	figure	figure	NOUN
ajst-29855	99	12	7	7	NUM
ajst-29855	99	13	.	.	PUNCT
ajst-29855	99	14	figure	figure	VERB
ajst-29855	99	15	7	7	NUM
ajst-29855	99	16	.	.	PUNCT
ajst-29855	100	1	structure	structure	NOUN
ajst-29855	100	2	of	of	ADP
ajst-29855	100	3	channel	channel	NOUN
ajst-29855	100	4	attention	attention	NOUN
ajst-29855	100	5	submodule	submodule	NOUN
ajst-29855	100	6	(	(	PUNCT
ajst-29855	100	7	2	2	NUM
ajst-29855	100	8	)	)	PUNCT
ajst-29855	100	9	spatial	spatial	ADJ
ajst-29855	100	10	attention	attention	NOUN
ajst-29855	100	11	submodule	submodule	NOUN
ajst-29855	100	12	gam	gam	PROPN
ajst-29855	100	13	uses	use	VERB
ajst-29855	100	14	two	two	NUM
ajst-29855	100	15	7x7	7x7	NUM
ajst-29855	100	16	convolutional	convolutional	ADJ
ajst-29855	100	17	layers	layer	NOUN
ajst-29855	100	18	for	for	ADP
ajst-29855	100	19	spatial	spatial	ADJ
ajst-29855	100	20	information	information	NOUN
ajst-29855	100	21	fusion	fusion	NOUN
ajst-29855	100	22	to	to	PART
ajst-29855	100	23	focus	focus	VERB
ajst-29855	100	24	the	the	DET
ajst-29855	100	25	spatial	spatial	ADJ
ajst-29855	100	26	information	information	NOUN
ajst-29855	100	27	.	.	PUNCT
ajst-29855	101	1	at	at	ADP
ajst-29855	101	2	the	the	DET
ajst-29855	101	3	same	same	ADJ
ajst-29855	101	4	time	time	NOUN
ajst-29855	101	5	,	,	PUNCT
ajst-29855	101	6	the	the	DET
ajst-29855	101	7	module	module	NOUN
ajst-29855	101	8	removes	remove	VERB
ajst-29855	101	9	the	the	DET
ajst-29855	101	10	pooling	pool	VERB
ajst-29855	101	11	operation	operation	NOUN
ajst-29855	101	12	to	to	PART
ajst-29855	101	13	maximize	maximize	VERB
ajst-29855	101	14	the	the	DET
ajst-29855	101	15	retention	retention	NOUN
ajst-29855	101	16	of	of	ADP
ajst-29855	101	17	the	the	DET
ajst-29855	101	18	useful	useful	ADJ
ajst-29855	101	19	information	information	NOUN
ajst-29855	101	20	of	of	ADP
ajst-29855	101	21	the	the	DET
ajst-29855	101	22	feature	feature	NOUN
ajst-29855	101	23	maps	map	NOUN
ajst-29855	101	24	and	and	CCONJ
ajst-29855	101	25	improve	improve	VERB
ajst-29855	101	26	the	the	DET
ajst-29855	101	27	utilization	utilization	NOUN
ajst-29855	101	28	of	of	ADP
ajst-29855	101	29	the	the	DET
ajst-29855	101	30	feature	feature	NOUN
ajst-29855	101	31	maps	map	NOUN
ajst-29855	101	32	.	.	PUNCT
ajst-29855	102	1	in	in	ADP
ajst-29855	102	2	addition	addition	NOUN
ajst-29855	102	3	,	,	PUNCT
ajst-29855	102	4	to	to	PART
ajst-29855	102	5	avoid	avoid	VERB
ajst-29855	102	6	a	a	DET
ajst-29855	102	7	significant	significant	ADJ
ajst-29855	102	8	increase	increase	NOUN
ajst-29855	102	9	in	in	ADP
ajst-29855	102	10	the	the	DET
ajst-29855	102	11	number	number	NOUN
ajst-29855	102	12	of	of	ADP
ajst-29855	102	13	parameters	parameter	NOUN
ajst-29855	102	14	,	,	PUNCT
ajst-29855	102	15	grouped	group	VERB
ajst-29855	102	16	convolution	convolution	NOUN
ajst-29855	102	17	with	with	ADP
ajst-29855	102	18	channel	channel	NOUN
ajst-29855	102	19	blending	blending	NOUN
ajst-29855	102	20	is	be	AUX
ajst-29855	102	21	used	use	VERB
ajst-29855	102	22	when	when	SCONJ
ajst-29855	102	23	applied	apply	VERB
ajst-29855	102	24	to	to	ADP
ajst-29855	102	25	resnet50	resnet50	NOUN
ajst-29855	102	26	.	.	PUNCT
ajst-29855	103	1	the	the	DET
ajst-29855	103	2	structure	structure	NOUN
ajst-29855	103	3	of	of	ADP
ajst-29855	103	4	the	the	DET
ajst-29855	103	5	spatial	spatial	ADJ
ajst-29855	103	6	attention	attention	NOUN
ajst-29855	103	7	submodule	submodule	NOUN
ajst-29855	103	8	is	be	AUX
ajst-29855	103	9	shown	show	VERB
ajst-29855	103	10	in	in	ADP
ajst-29855	103	11	figure	figure	NOUN
ajst-29855	103	12	8	8	NUM
ajst-29855	103	13	.	.	PUNCT
ajst-29855	104	1	figure	figure	NOUN
ajst-29855	104	2	8	8	NUM
ajst-29855	104	3	.	.	PUNCT
ajst-29855	105	1	spatial	spatial	ADJ
ajst-29855	105	2	attention	attention	NOUN
ajst-29855	105	3	submodule	submodule	NOUN
ajst-29855	105	4	structure	structure	NOUN
ajst-29855	105	5	3.2.2	3.2.2	NUM
ajst-29855	105	6	.	.	PUNCT
ajst-29855	106	1	odconv	odconv	ADJ
ajst-29855	106	2	dimensional	dimensional	ADJ
ajst-29855	106	3	dynamic	dynamic	ADJ
ajst-29855	106	4	convolution	convolution	NOUN
ajst-29855	106	5	dynamic	dynamic	ADJ
ajst-29855	106	6	convolution	convolution	NOUN
ajst-29855	106	7	is	be	AUX
ajst-29855	106	8	a	a	DET
ajst-29855	106	9	deformation	deformation	NOUN
ajst-29855	106	10	operation	operation	NOUN
ajst-29855	106	11	in	in	ADP
ajst-29855	106	12	convolution	convolution	NOUN
ajst-29855	106	13	neural	neural	ADJ
ajst-29855	106	14	networks	network	NOUN
ajst-29855	106	15	that	that	PRON
ajst-29855	106	16	adaptively	adaptively	ADV
ajst-29855	106	17	generates	generate	VERB
ajst-29855	106	18	convolution	convolution	NOUN
ajst-29855	106	19	kernels	kernel	NOUN
ajst-29855	106	20	at	at	ADP
ajst-29855	106	21	each	each	DET
ajst-29855	106	22	forward	forward	ADV
ajst-29855	106	23	pass	pass	NOUN
ajst-29855	106	24	based	base	VERB
ajst-29855	106	25	on	on	ADP
ajst-29855	106	26	the	the	DET
ajst-29855	106	27	input	input	NOUN
ajst-29855	106	28	data	datum	NOUN
ajst-29855	106	29	to	to	PART
ajst-29855	106	30	better	well	ADV
ajst-29855	106	31	fit	fit	VERB
ajst-29855	106	32	the	the	DET
ajst-29855	106	33	features	feature	NOUN
ajst-29855	106	34	of	of	ADP
ajst-29855	106	35	the	the	DET
ajst-29855	106	36	input	input	NOUN
ajst-29855	106	37	data28	data28	NOUN
ajst-29855	106	38	.	.	PUNCT
ajst-29855	107	1	in	in	ADP
ajst-29855	107	2	the	the	DET
ajst-29855	107	3	resnet50	resnet50	NOUN
ajst-29855	107	4	network	network	NOUN
ajst-29855	107	5	model	model	PROPN
ajst-29855	107	6	,	,	PUNCT
ajst-29855	107	7	the	the	DET
ajst-29855	107	8	parameters	parameter	NOUN
ajst-29855	107	9	of	of	ADP
ajst-29855	107	10	the	the	DET
ajst-29855	107	11	convolution	convolution	NOUN
ajst-29855	107	12	operation	operation	NOUN
ajst-29855	107	13	are	be	AUX
ajst-29855	107	14	usually	usually	ADV
ajst-29855	107	15	fixed	fix	VERB
ajst-29855	107	16	and	and	CCONJ
ajst-29855	107	17	can	can	AUX
ajst-29855	107	18	not	not	PART
ajst-29855	107	19	be	be	AUX
ajst-29855	107	20	dynamically	dynamically	ADV
ajst-29855	107	21	adapted	adapt	VERB
ajst-29855	107	22	to	to	ADP
ajst-29855	107	23	different	different	ADJ
ajst-29855	107	24	input	input	NOUN
ajst-29855	107	25	data	datum	NOUN
ajst-29855	107	26	.	.	PUNCT
ajst-29855	108	1	in	in	ADP
ajst-29855	108	2	contrast	contrast	NOUN
ajst-29855	108	3	,	,	PUNCT
ajst-29855	108	4	dynamic	dynamic	ADJ
ajst-29855	108	5	convolution	convolution	NOUN
ajst-29855	108	6	adaptively	adaptively	ADV
ajst-29855	108	7	adjusts	adjust	VERB
ajst-29855	108	8	the	the	DET
ajst-29855	108	9	convolution	convolution	NOUN
ajst-29855	108	10	parameters	parameter	NOUN
ajst-29855	108	11	according	accord	VERB
ajst-29855	108	12	to	to	ADP
ajst-29855	108	13	different	different	ADJ
ajst-29855	108	14	input	input	NOUN
ajst-29855	108	15	data	datum	NOUN
ajst-29855	108	16	.	.	PUNCT
ajst-29855	109	1	some	some	PRON
ajst-29855	109	2	of	of	ADP
ajst-29855	109	3	the	the	DET
ajst-29855	109	4	waste	waste	NOUN
ajst-29855	109	5	flocs	floc	NOUN
ajst-29855	109	6	in	in	ADP
ajst-29855	109	7	the	the	DET
ajst-29855	109	8	drilling	drilling	NOUN
ajst-29855	109	9	fluid	fluid	ADJ
ajst-29855	109	10	waste	waste	NOUN
ajst-29855	109	11	flocculation	flocculation	NOUN
ajst-29855	109	12	image	image	NOUN
ajst-29855	109	13	have	have	VERB
ajst-29855	109	14	high	high	ADJ
ajst-29855	109	15	feature	feature	NOUN
ajst-29855	109	16	similarity	similarity	NOUN
ajst-29855	109	17	with	with	ADP
ajst-29855	109	18	the	the	DET
ajst-29855	109	19	impurities	impurity	NOUN
ajst-29855	109	20	in	in	ADP
ajst-29855	109	21	the	the	DET
ajst-29855	109	22	drilling	drilling	NOUN
ajst-29855	109	23	fluid	fluid	NOUN
ajst-29855	109	24	,	,	PUNCT
ajst-29855	109	25	which	which	PRON
ajst-29855	109	26	leads	lead	VERB
ajst-29855	109	27	to	to	ADP
ajst-29855	109	28	low	low	ADJ
ajst-29855	109	29	recognition	recognition	NOUN
ajst-29855	109	30	accuracy	accuracy	NOUN
ajst-29855	109	31	of	of	ADP
ajst-29855	109	32	flocs	floc	NOUN
ajst-29855	109	33	in	in	ADP
ajst-29855	109	34	the	the	DET
ajst-29855	109	35	original	original	ADJ
ajst-29855	109	36	resnet50	resnet50	NOUN
ajst-29855	109	37	network	network	NOUN
ajst-29855	109	38	.	.	PUNCT
ajst-29855	110	1	the	the	DET
ajst-29855	110	2	full	full	ADJ
ajst-29855	110	3	-	-	PUNCT
ajst-29855	110	4	dimensional	dimensional	ADJ
ajst-29855	110	5	dynamic	dynamic	ADJ
ajst-29855	110	6	convolution	convolution	NOUN
ajst-29855	110	7	(	(	PUNCT
ajst-29855	110	8	odconv	odconv	NOUN
ajst-29855	110	9	)	)	PUNCT
ajst-29855	110	10	module	module	NOUN
ajst-29855	110	11	can	can	AUX
ajst-29855	110	12	obtain	obtain	VERB
ajst-29855	110	13	richer	rich	ADJ
ajst-29855	110	14	floc	floc	NOUN
ajst-29855	110	15	information	information	NOUN
ajst-29855	110	16	in	in	ADP
ajst-29855	110	17	the	the	DET
ajst-29855	110	18	feature	feature	NOUN
ajst-29855	110	19	extraction	extraction	NOUN
ajst-29855	110	20	process	process	NOUN
ajst-29855	110	21	of	of	ADP
ajst-29855	110	22	floc	floc	NOUN
ajst-29855	110	23	images	image	NOUN
ajst-29855	110	24	,	,	PUNCT
ajst-29855	110	25	and	and	CCONJ
ajst-29855	110	26	improve	improve	VERB
ajst-29855	110	27	the	the	DET
ajst-29855	110	28	feature	feature	NOUN
ajst-29855	110	29	extraction	extraction	NOUN
ajst-29855	110	30	ability	ability	NOUN
ajst-29855	110	31	and	and	CCONJ
ajst-29855	110	32	sensitivity	sensitivity	NOUN
ajst-29855	110	33	of	of	ADP
ajst-29855	110	34	the	the	DET
ajst-29855	110	35	network	network	NOUN
ajst-29855	110	36	to	to	ADP
ajst-29855	110	37	small	small	ADJ
ajst-29855	110	38	targets	target	NOUN
ajst-29855	110	39	,	,	PUNCT
ajst-29855	110	40	so	so	SCONJ
ajst-29855	110	41	this	this	DET
ajst-29855	110	42	paper	paper	NOUN
ajst-29855	110	43	adds	add	VERB
ajst-29855	110	44	the	the	DET
ajst-29855	110	45	full	full	ADJ
ajst-29855	110	46	-	-	PUNCT
ajst-29855	110	47	dimensional	dimensional	ADJ
ajst-29855	110	48	dynamic	dynamic	ADJ
ajst-29855	110	49	convolution	convolution	NOUN
ajst-29855	110	50	(	(	PUNCT
ajst-29855	110	51	odconv	odconv	NOUN
ajst-29855	110	52	)	)	PUNCT
ajst-29855	110	53	module	module	NOUN
ajst-29855	110	54	to	to	ADP
ajst-29855	110	55	the	the	DET
ajst-29855	110	56	original	original	ADJ
ajst-29855	110	57	resnet-50	resnet-50	PROPN
ajst-29855	110	58	network	network	NOUN
ajst-29855	110	59	to	to	PART
ajst-29855	110	60	improve	improve	VERB
ajst-29855	110	61	the	the	DET
ajst-29855	110	62	overall	overall	ADJ
ajst-29855	110	63	classification	classification	NOUN
ajst-29855	110	64	performance	performance	NOUN
ajst-29855	110	65	of	of	ADP
ajst-29855	110	66	the	the	DET
ajst-29855	110	67	network	network	NOUN
ajst-29855	110	68	.	.	PUNCT
ajst-29855	111	1	odconv	odconv	PROPN
ajst-29855	111	2	uses	use	VERB
ajst-29855	111	3	a	a	DET
ajst-29855	111	4	novel	novel	ADJ
ajst-29855	111	5	multidimensional	multidimensional	ADJ
ajst-29855	111	6	attention	attention	NOUN
ajst-29855	111	7	mechanism	mechanism	NOUN
ajst-29855	111	8	at	at	ADP
ajst-29855	111	9	any	any	DET
ajst-29855	111	10	convolution	convolution	NOUN
ajst-29855	111	11	layer	layer	NOUN
ajst-29855	111	12	,	,	PUNCT
ajst-29855	111	13	which	which	PRON
ajst-29855	111	14	can	can	AUX
ajst-29855	111	15	simultaneously	simultaneously	ADV
ajst-29855	111	16	learn	learn	VERB
ajst-29855	111	17	supplementary	supplementary	ADJ
ajst-29855	111	18	attention	attention	NOUN
ajst-29855	111	19	for	for	ADP
ajst-29855	111	20	the	the	DET
ajst-29855	111	21	convolution	convolution	NOUN
ajst-29855	111	22	kernel	kernel	NOUN
ajst-29855	111	23	along	along	ADP
ajst-29855	111	24	four	four	NUM
ajst-29855	111	25	dimensions	dimension	NOUN
ajst-29855	111	26	:	:	PUNCT
ajst-29855	111	27	its	its	PRON
ajst-29855	111	28	space	space	NOUN
ajst-29855	111	29	size	size	NOUN
ajst-29855	111	30	,	,	PUNCT
ajst-29855	111	31	the	the	DET
ajst-29855	111	32	number	number	NOUN
ajst-29855	111	33	of	of	ADP
ajst-29855	111	34	input	input	NOUN
ajst-29855	111	35	channels	channel	NOUN
ajst-29855	111	36	,	,	PUNCT
ajst-29855	111	37	the	the	DET
ajst-29855	111	38	number	number	NOUN
ajst-29855	111	39	of	of	ADP
ajst-29855	111	40	output	output	NOUN
ajst-29855	111	41	channels	channel	NOUN
ajst-29855	111	42	,	,	PUNCT
ajst-29855	111	43	and	and	CCONJ
ajst-29855	111	44	the	the	DET
ajst-29855	111	45	number	number	NOUN
ajst-29855	111	46	of	of	ADP
ajst-29855	111	47	convolution	convolution	NOUN
ajst-29855	111	48	cores	core	NOUN
ajst-29855	111	49	.	.	PUNCT
ajst-29855	112	1	these	these	DET
ajst-29855	112	2	four	four	NUM
ajst-29855	112	3	types	type	NOUN
ajst-29855	112	4	of	of	ADP
ajst-29855	112	5	attention	attention	NOUN
ajst-29855	112	6	are	be	AUX
ajst-29855	112	7	calculated	calculate	VERB
ajst-29855	112	8	by	by	ADP
ajst-29855	112	9	the	the	DET
ajst-29855	112	10	corresponding	correspond	VERB
ajst-29855	112	11	multi	multi	ADJ
ajst-29855	112	12	-	-	ADJ
ajst-29855	112	13	head	head	ADJ
ajst-29855	112	14	attention	attention	NOUN
ajst-29855	112	15	module	module	NOUN
ajst-29855	112	16	,	,	PUNCT
ajst-29855	112	17	and	and	CCONJ
ajst-29855	112	18	complement	complement	VERB
ajst-29855	112	19	each	each	DET
ajst-29855	112	20	other	other	ADJ
ajst-29855	112	21	,	,	PUNCT
ajst-29855	112	22	further	far	ADV
ajst-29855	112	23	improving	improve	VERB
ajst-29855	112	24	the	the	DET
ajst-29855	112	25	feature	feature	NOUN
ajst-29855	112	26	extraction	extraction	NOUN
ajst-29855	112	27	ability	ability	NOUN
ajst-29855	112	28	of	of	ADP
ajst-29855	112	29	cnn	cnn	PROPN
ajst-29855	112	30	.	.	PUNCT
ajst-29855	113	1	the	the	DET
ajst-29855	113	2	structure	structure	NOUN
ajst-29855	113	3	diagram	diagram	NOUN
ajst-29855	113	4	of	of	ADP
ajst-29855	113	5	odconv	odconv	NOUN
ajst-29855	113	6	is	be	AUX
ajst-29855	113	7	shown	show	VERB
ajst-29855	113	8	in	in	ADP
ajst-29855	113	9	figure	figure	NOUN
ajst-29855	113	10	9	9	NUM
ajst-29855	113	11	.	.	PUNCT
ajst-29855	114	1	since	since	SCONJ
ajst-29855	114	2	each	each	DET
ajst-29855	114	3	convolution	convolution	NOUN
ajst-29855	114	4	kernel	kernel	NOUN
ajst-29855	114	5	can	can	AUX
ajst-29855	114	6	have	have	VERB
ajst-29855	114	7	its	its	PRON
ajst-29855	114	8	attention	attention	NOUN
ajst-29855	114	9	distribution	distribution	NOUN
ajst-29855	114	10	,	,	PUNCT
ajst-29855	114	11	the	the	DET
ajst-29855	114	12	improved	improved	ADJ
ajst-29855	114	13	resnet50	resnet50	NOUN
ajst-29855	114	14	52	52	NUM
ajst-29855	114	15	flocculation	flocculation	NOUN
ajst-29855	114	16	recognition	recognition	NOUN
ajst-29855	114	17	model	model	NOUN
ajst-29855	114	18	can	can	AUX
ajst-29855	114	19	dynamically	dynamically	ADV
ajst-29855	114	20	adjust	adjust	VERB
ajst-29855	114	21	the	the	DET
ajst-29855	114	22	attention	attention	NOUN
ajst-29855	114	23	distribution	distribution	NOUN
ajst-29855	114	24	according	accord	VERB
ajst-29855	114	25	to	to	ADP
ajst-29855	114	26	different	different	ADJ
ajst-29855	114	27	input	input	NOUN
ajst-29855	114	28	flocculation	flocculation	NOUN
ajst-29855	114	29	samples	sample	NOUN
ajst-29855	114	30	,	,	PUNCT
ajst-29855	114	31	and	and	CCONJ
ajst-29855	114	32	this	this	DET
ajst-29855	114	33	flexibility	flexibility	NOUN
ajst-29855	114	34	can	can	AUX
ajst-29855	114	35	improve	improve	VERB
ajst-29855	114	36	the	the	DET
ajst-29855	114	37	generalization	generalization	NOUN
ajst-29855	114	38	ability	ability	NOUN
ajst-29855	114	39	and	and	CCONJ
ajst-29855	114	40	adaptability	adaptability	NOUN
ajst-29855	114	41	of	of	ADP
ajst-29855	114	42	the	the	DET
ajst-29855	114	43	network	network	NOUN
ajst-29855	114	44	.	.	PUNCT
ajst-29855	115	1	figure	figure	NOUN
ajst-29855	115	2	9	9	NUM
ajst-29855	115	3	.	.	PUNCT
ajst-29855	115	4	overall	overall	ADJ
ajst-29855	115	5	structure	structure	NOUN
ajst-29855	115	6	of	of	ADP
ajst-29855	115	7	odconv	odconv	NOUN
ajst-29855	115	8	3.2.3	3.2.3	NUM
ajst-29855	115	9	.	.	PUNCT
ajst-29855	116	1	overall	overall	ADJ
ajst-29855	116	2	structure	structure	NOUN
ajst-29855	116	3	of	of	ADP
ajst-29855	116	4	the	the	DET
ajst-29855	116	5	improved	improved	ADJ
ajst-29855	116	6	model	model	NOUN
ajst-29855	116	7	in	in	ADP
ajst-29855	116	8	this	this	DET
ajst-29855	116	9	paper	paper	NOUN
ajst-29855	116	10	,	,	PUNCT
ajst-29855	116	11	the	the	DET
ajst-29855	116	12	improved	improved	ADJ
ajst-29855	116	13	resnet50	resnet50	NOUN
ajst-29855	116	14	model	model	NOUN
ajst-29855	116	15	is	be	AUX
ajst-29855	116	16	named	name	VERB
ajst-29855	116	17	h	h	NOUN
ajst-29855	116	18	resnet50	resnet50	NOUN
ajst-29855	116	19	,	,	PUNCT
ajst-29855	116	20	and	and	CCONJ
ajst-29855	116	21	the	the	DET
ajst-29855	116	22	overall	overall	ADJ
ajst-29855	116	23	structure	structure	NOUN
ajst-29855	116	24	of	of	ADP
ajst-29855	116	25	this	this	DET
ajst-29855	116	26	network	network	NOUN
ajst-29855	116	27	is	be	AUX
ajst-29855	116	28	shown	show	VERB
ajst-29855	116	29	in	in	ADP
ajst-29855	116	30	figure	figure	NOUN
ajst-29855	116	31	10	10	NUM
ajst-29855	116	32	.	.	PUNCT
ajst-29855	117	1	the	the	DET
ajst-29855	117	2	improved	improved	ADJ
ajst-29855	117	3	model	model	NOUN
ajst-29855	117	4	structure	structure	NOUN
ajst-29855	117	5	is	be	AUX
ajst-29855	117	6	the	the	DET
ajst-29855	117	7	same	same	ADJ
ajst-29855	117	8	as	as	ADP
ajst-29855	117	9	the	the	DET
ajst-29855	117	10	main	main	ADJ
ajst-29855	117	11	part	part	NOUN
ajst-29855	117	12	of	of	ADP
ajst-29855	117	13	the	the	DET
ajst-29855	117	14	original	original	ADJ
ajst-29855	117	15	resnet50	resnet50	NOUN
ajst-29855	117	16	model	model	NOUN
ajst-29855	117	17	structure	structure	NOUN
ajst-29855	117	18	.	.	PUNCT
ajst-29855	118	1	the	the	DET
ajst-29855	118	2	input	input	NOUN
ajst-29855	118	3	size	size	NOUN
ajst-29855	118	4	of	of	ADP
ajst-29855	118	5	both	both	DET
ajst-29855	118	6	models	model	NOUN
ajst-29855	118	7	is	be	AUX
ajst-29855	118	8	224x224x3	224x224x3	NUM
ajst-29855	118	9	drilling	drilling	NOUN
ajst-29855	118	10	fluid	fluid	ADJ
ajst-29855	118	11	waste	waste	NOUN
ajst-29855	118	12	floc	floc	NOUN
ajst-29855	118	13	images	image	NOUN
ajst-29855	118	14	,	,	PUNCT
ajst-29855	118	15	firstly	firstly	ADV
ajst-29855	118	16	h	h	NOUN
ajst-29855	118	17	-	-	PUNCT
ajst-29855	118	18	resnet50	resnet50	NOUN
ajst-29855	118	19	reduces	reduce	VERB
ajst-29855	118	20	the	the	DET
ajst-29855	118	21	last	last	ADJ
ajst-29855	118	22	layer	layer	NOUN
ajst-29855	118	23	of	of	ADP
ajst-29855	118	24	identity	identity	NOUN
ajst-29855	118	25	block	block	NOUN
ajst-29855	118	26	in	in	ADP
ajst-29855	118	27	the	the	DET
ajst-29855	118	28	first	first	ADJ
ajst-29855	118	29	and	and	CCONJ
ajst-29855	118	30	second	second	ADJ
ajst-29855	118	31	set	set	NOUN
ajst-29855	118	32	of	of	ADP
ajst-29855	118	33	residual	residual	ADJ
ajst-29855	118	34	blocks	block	NOUN
ajst-29855	118	35	and	and	CCONJ
ajst-29855	118	36	introduces	introduce	VERB
ajst-29855	118	37	odconv	odconv	ADJ
ajst-29855	118	38	convolutional	convolutional	ADJ
ajst-29855	118	39	module	module	NOUN
ajst-29855	118	40	in	in	ADP
ajst-29855	118	41	these	these	DET
ajst-29855	118	42	two	two	NUM
ajst-29855	118	43	parts	part	NOUN
ajst-29855	118	44	respectively	respectively	ADV
ajst-29855	118	45	;	;	PUNCT
ajst-29855	118	46	this	this	PRON
ajst-29855	118	47	allows	allow	VERB
ajst-29855	118	48	it	it	PRON
ajst-29855	118	49	to	to	PART
ajst-29855	118	50	capture	capture	VERB
ajst-29855	118	51	richer	rich	ADJ
ajst-29855	118	52	contextual	contextual	ADJ
ajst-29855	118	53	cues	cue	NOUN
ajst-29855	118	54	,	,	PUNCT
ajst-29855	118	55	and	and	CCONJ
ajst-29855	118	56	in	in	ADP
ajst-29855	118	57	comparison	comparison	NOUN
ajst-29855	118	58	with	with	ADP
ajst-29855	118	59	the	the	DET
ajst-29855	118	60	original	original	ADJ
ajst-29855	118	61	network	network	NOUN
ajst-29855	118	62	model	model	NOUN
ajst-29855	118	63	,	,	PUNCT
ajst-29855	118	64	it	it	PRON
ajst-29855	118	65	provides	provide	VERB
ajst-29855	118	66	better	well	ADJ
ajst-29855	118	67	accuracy	accuracy	NOUN
ajst-29855	118	68	and	and	CCONJ
ajst-29855	118	69	efficiency	efficiency	NOUN
ajst-29855	118	70	tradeoffs	tradeoff	NOUN
ajst-29855	118	71	and	and	CCONJ
ajst-29855	118	72	is	be	AUX
ajst-29855	118	73	more	more	ADV
ajst-29855	118	74	focused	focused	ADJ
ajst-29855	118	75	on	on	ADP
ajst-29855	118	76	adapting	adapt	VERB
ajst-29855	118	77	to	to	ADP
ajst-29855	118	78	the	the	DET
ajst-29855	118	79	drilling	drilling	NOUN
ajst-29855	118	80	fluid	fluid	ADJ
ajst-29855	118	81	waste	waste	NOUN
ajst-29855	118	82	floc	floc	NOUN
ajst-29855	118	83	images	image	NOUN
ajst-29855	118	84	.	.	PUNCT
ajst-29855	119	1	then	then	ADV
ajst-29855	119	2	,	,	PUNCT
ajst-29855	119	3	the	the	DET
ajst-29855	119	4	gam	gam	X
ajst-29855	119	5	global	global	ADJ
ajst-29855	119	6	attention	attention	NOUN
ajst-29855	119	7	mechanism	mechanism	NOUN
ajst-29855	119	8	module	module	NOUN
ajst-29855	119	9	is	be	AUX
ajst-29855	119	10	introduced	introduce	VERB
ajst-29855	119	11	at	at	ADP
ajst-29855	119	12	the	the	DET
ajst-29855	119	13	end	end	NOUN
ajst-29855	119	14	of	of	ADP
ajst-29855	119	15	the	the	DET
ajst-29855	119	16	second	second	ADJ
ajst-29855	119	17	and	and	CCONJ
ajst-29855	119	18	third	third	ADJ
ajst-29855	119	19	sets	set	NOUN
ajst-29855	119	20	of	of	ADP
ajst-29855	119	21	residual	residual	ADJ
ajst-29855	119	22	blocks	block	NOUN
ajst-29855	119	23	to	to	PART
ajst-29855	119	24	improve	improve	VERB
ajst-29855	119	25	the	the	DET
ajst-29855	119	26	model	model	NOUN
ajst-29855	119	27	's	's	PART
ajst-29855	119	28	ability	ability	NOUN
ajst-29855	119	29	to	to	PART
ajst-29855	119	30	extract	extract	VERB
ajst-29855	119	31	features	feature	NOUN
ajst-29855	119	32	from	from	ADP
ajst-29855	119	33	useful	useful	ADJ
ajst-29855	119	34	information	information	NOUN
ajst-29855	119	35	in	in	ADP
ajst-29855	119	36	the	the	DET
ajst-29855	119	37	flocculation	flocculation	NOUN
ajst-29855	119	38	image	image	NOUN
ajst-29855	119	39	,	,	PUNCT
ajst-29855	119	40	efficiently	efficiently	ADV
ajst-29855	119	41	aggregate	aggregate	VERB
ajst-29855	119	42	flocculation	flocculation	NOUN
ajst-29855	119	43	features	feature	NOUN
ajst-29855	119	44	,	,	PUNCT
ajst-29855	119	45	and	and	CCONJ
ajst-29855	119	46	enhance	enhance	VERB
ajst-29855	119	47	the	the	DET
ajst-29855	119	48	reconstruction	reconstruction	NOUN
ajst-29855	119	49	performance	performance	NOUN
ajst-29855	119	50	.	.	PUNCT
ajst-29855	120	1	after	after	ADP
ajst-29855	120	2	a	a	DET
ajst-29855	120	3	series	series	NOUN
ajst-29855	120	4	of	of	ADP
ajst-29855	120	5	residual	residual	ADJ
ajst-29855	120	6	block	block	NOUN
ajst-29855	120	7	processing	processing	NOUN
ajst-29855	120	8	,	,	PUNCT
ajst-29855	120	9	the	the	DET
ajst-29855	120	10	size	size	NOUN
ajst-29855	120	11	of	of	ADP
ajst-29855	120	12	the	the	DET
ajst-29855	120	13	output	output	NOUN
ajst-29855	120	14	feature	feature	NOUN
ajst-29855	120	15	map	map	NOUN
ajst-29855	120	16	is	be	AUX
ajst-29855	120	17	7×7×2048	7×7×2048	NUM
ajst-29855	120	18	,	,	PUNCT
ajst-29855	120	19	and	and	CCONJ
ajst-29855	120	20	then	then	ADV
ajst-29855	120	21	input	input	VERB
ajst-29855	120	22	to	to	ADP
ajst-29855	120	23	the	the	DET
ajst-29855	120	24	fully	fully	ADV
ajst-29855	120	25	connected	connect	VERB
ajst-29855	120	26	layer	layer	NOUN
ajst-29855	120	27	after	after	ADP
ajst-29855	120	28	the	the	DET
ajst-29855	120	29	pool	pool	NOUN
ajst-29855	120	30	pooling	pool	VERB
ajst-29855	120	31	operation	operation	NOUN
ajst-29855	120	32	,	,	PUNCT
ajst-29855	120	33	the	the	DET
ajst-29855	120	34	number	number	NOUN
ajst-29855	120	35	of	of	ADP
ajst-29855	120	36	feature	feature	NOUN
ajst-29855	120	37	channels	channel	NOUN
ajst-29855	120	38	of	of	ADP
ajst-29855	120	39	the	the	DET
ajst-29855	120	40	output	output	NOUN
ajst-29855	120	41	feature	feature	NOUN
ajst-29855	120	42	map	map	NOUN
ajst-29855	120	43	becomes	become	VERB
ajst-29855	120	44	3	3	NUM
ajst-29855	120	45	,	,	PUNCT
ajst-29855	120	46	and	and	CCONJ
ajst-29855	120	47	the	the	DET
ajst-29855	120	48	corresponding	corresponding	ADJ
ajst-29855	120	49	probability	probability	NOUN
ajst-29855	120	50	values	value	NOUN
ajst-29855	120	51	of	of	ADP
ajst-29855	120	52	the	the	DET
ajst-29855	120	53	flocculation	flocculation	NOUN
ajst-29855	120	54	states	state	NOUN
ajst-29855	120	55	of	of	ADP
ajst-29855	120	56	the	the	DET
ajst-29855	120	57	three	three	NUM
ajst-29855	120	58	classes	class	NOUN
ajst-29855	120	59	are	be	AUX
ajst-29855	120	60	output	output	VERB
ajst-29855	120	61	by	by	ADP
ajst-29855	120	62	the	the	DET
ajst-29855	120	63	softmax	softmax	NOUN
ajst-29855	120	64	classifier	classifier	NOUN
ajst-29855	120	65	to	to	PART
ajst-29855	120	66	give	give	VERB
ajst-29855	120	67	the	the	DET
ajst-29855	120	68	final	final	ADJ
ajst-29855	120	69	flocculation	flocculation	NOUN
ajst-29855	120	70	identification	identification	NOUN
ajst-29855	120	71	result	result	NOUN
ajst-29855	120	72	of	of	ADP
ajst-29855	120	73	the	the	DET
ajst-29855	120	74	drilling	drilling	NOUN
ajst-29855	120	75	fluid	fluid	ADJ
ajst-29855	120	76	waste	waste	NOUN
ajst-29855	120	77	liquid	liquid	NOUN
ajst-29855	120	78	.	.	PUNCT
ajst-29855	121	1	in	in	ADP
ajst-29855	121	2	the	the	DET
ajst-29855	121	3	network	network	NOUN
ajst-29855	121	4	structure	structure	NOUN
ajst-29855	121	5	diagram	diagram	NOUN
ajst-29855	121	6	,	,	PUNCT
ajst-29855	121	7	conv	conv	PROPN
ajst-29855	121	8	represents	represent	VERB
ajst-29855	121	9	the	the	DET
ajst-29855	121	10	convolutional	convolutional	ADJ
ajst-29855	121	11	layer	layer	NOUN
ajst-29855	121	12	in	in	ADP
ajst-29855	121	13	the	the	DET
ajst-29855	121	14	neural	neural	ADJ
ajst-29855	121	15	network	network	NOUN
ajst-29855	121	16	structure	structure	NOUN
ajst-29855	121	17	,	,	PUNCT
ajst-29855	121	18	and	and	CCONJ
ajst-29855	121	19	"	"	PUNCT
ajst-29855	121	20	conv	conv	ADJ
ajst-29855	121	21	7×7	7×7	NOUN
ajst-29855	121	22	"	"	PUNCT
ajst-29855	121	23	indicates	indicate	VERB
ajst-29855	121	24	that	that	SCONJ
ajst-29855	121	25	the	the	DET
ajst-29855	121	26	size	size	NOUN
ajst-29855	121	27	of	of	ADP
ajst-29855	121	28	the	the	DET
ajst-29855	121	29	convolutional	convolutional	ADJ
ajst-29855	121	30	kernel	kernel	NOUN
ajst-29855	121	31	is	be	AUX
ajst-29855	121	32	7×7	7×7	NUM
ajst-29855	121	33	.	.	PUNCT
ajst-29855	122	1	odconv	odconv	NOUN
ajst-29855	122	2	is	be	AUX
ajst-29855	122	3	the	the	DET
ajst-29855	122	4	newly	newly	ADV
ajst-29855	122	5	added	add	VERB
ajst-29855	122	6	full	full	ADJ
ajst-29855	122	7	-	-	PUNCT
ajst-29855	122	8	dimensional	dimensional	ADJ
ajst-29855	122	9	dynamic	dynamic	ADJ
ajst-29855	122	10	convolutional	convolutional	ADJ
ajst-29855	122	11	layer	layer	NOUN
ajst-29855	122	12	.	.	PUNCT
ajst-29855	123	1	maxpool	maxpool	NOUN
ajst-29855	123	2	represents	represent	VERB
ajst-29855	123	3	the	the	DET
ajst-29855	123	4	maximum	maximum	ADJ
ajst-29855	123	5	pooling	pool	VERB
ajst-29855	123	6	layer	layer	NOUN
ajst-29855	123	7	,	,	PUNCT
ajst-29855	123	8	gam	gam	NOUN
ajst-29855	123	9	represents	represent	VERB
ajst-29855	123	10	the	the	DET
ajst-29855	123	11	global	global	ADJ
ajst-29855	123	12	attention	attention	NOUN
ajst-29855	123	13	mechanism	mechanism	NOUN
ajst-29855	123	14	layer	layer	NOUN
ajst-29855	123	15	,	,	PUNCT
ajst-29855	123	16	avgpool	avgpool	NOUN
ajst-29855	123	17	represents	represent	VERB
ajst-29855	123	18	the	the	DET
ajst-29855	123	19	average	average	ADJ
ajst-29855	123	20	pooling	pool	VERB
ajst-29855	123	21	layer	layer	NOUN
ajst-29855	123	22	,	,	PUNCT
ajst-29855	123	23	softmax	softmax	NOUN
ajst-29855	123	24	is	be	AUX
ajst-29855	123	25	the	the	DET
ajst-29855	123	26	fully	fully	ADV
ajst-29855	123	27	connected	connect	VERB
ajst-29855	123	28	layer	layer	NOUN
ajst-29855	123	29	,	,	PUNCT
ajst-29855	123	30	and	and	CCONJ
ajst-29855	123	31	the	the	DET
ajst-29855	123	32	whole	whole	ADJ
ajst-29855	123	33	model	model	NOUN
ajst-29855	123	34	contains	contain	VERB
ajst-29855	123	35	4	4	NUM
ajst-29855	123	36	sets	set	NOUN
ajst-29855	123	37	of	of	ADP
ajst-29855	123	38	bottleneck	bottleneck	NOUN
ajst-29855	123	39	blocks	block	NOUN
ajst-29855	123	40	,	,	PUNCT
ajst-29855	123	41	and	and	CCONJ
ajst-29855	123	42	the	the	DET
ajst-29855	123	43	number	number	NOUN
ajst-29855	123	44	of	of	ADP
ajst-29855	123	45	bottleneck	bottleneck	NOUN
ajst-29855	123	46	blocks	block	NOUN
ajst-29855	123	47	are	be	AUX
ajst-29855	123	48	2	2	NUM
ajst-29855	123	49	,	,	PUNCT
ajst-29855	123	50	3	3	NUM
ajst-29855	123	51	,	,	PUNCT
ajst-29855	123	52	6	6	NUM
ajst-29855	123	53	,	,	PUNCT
ajst-29855	123	54	and	and	CCONJ
ajst-29855	123	55	3	3	NUM
ajst-29855	123	56	,	,	PUNCT
ajst-29855	123	57	respectively	respectively	ADV
ajst-29855	123	58	.	.	PUNCT
ajst-29855	124	1	figure	figure	NOUN
ajst-29855	124	2	10	10	NUM
ajst-29855	124	3	.	.	PUNCT
ajst-29855	125	1	network	network	NOUN
ajst-29855	125	2	structure	structure	NOUN
ajst-29855	125	3	of	of	ADP
ajst-29855	125	4	h	h	NOUN
ajst-29855	125	5	-	-	PUNCT
ajst-29855	125	6	resnet50	resnet50	NOUN
ajst-29855	125	7	model	model	NOUN
ajst-29855	125	8	53	53	NUM
ajst-29855	125	9	4	4	NUM
ajst-29855	125	10	.	.	PUNCT
ajst-29855	125	11	experiment	experiment	NOUN
ajst-29855	125	12	and	and	CCONJ
ajst-29855	125	13	result	result	VERB
ajst-29855	125	14	analysis	analysis	NOUN
ajst-29855	125	15	4.1	4.1	NUM
ajst-29855	125	16	.	.	PUNCT
ajst-29855	126	1	experimental	experimental	ADJ
ajst-29855	126	2	environment	environment	NOUN
ajst-29855	126	3	all	all	DET
ajst-29855	126	4	the	the	DET
ajst-29855	126	5	experiments	experiment	NOUN
ajst-29855	126	6	were	be	AUX
ajst-29855	126	7	run	run	VERB
ajst-29855	126	8	in	in	ADP
ajst-29855	126	9	a	a	DET
ajst-29855	126	10	windows	window	NOUN
ajst-29855	126	11	11	11	NUM
ajst-29855	126	12	64	64	NUM
ajst-29855	126	13	-	-	PUNCT
ajst-29855	126	14	bit	bit	NOUN
ajst-29855	126	15	system	system	NOUN
ajst-29855	126	16	environment	environment	NOUN
ajst-29855	126	17	and	and	CCONJ
ajst-29855	126	18	pytorch	pytorch	NOUN
ajst-29855	126	19	deep	deep	ADJ
ajst-29855	126	20	learning	learning	NOUN
ajst-29855	126	21	framework	framework	NOUN
ajst-29855	126	22	based	base	VERB
ajst-29855	126	23	on	on	ADP
ajst-29855	126	24	python	python	NOUN
ajst-29855	126	25	language	language	NOUN
ajst-29855	126	26	was	be	AUX
ajst-29855	126	27	chosen	choose	VERB
ajst-29855	126	28	.	.	PUNCT
ajst-29855	127	1	the	the	DET
ajst-29855	127	2	programming	programming	NOUN
ajst-29855	127	3	tool	tool	NOUN
ajst-29855	127	4	was	be	AUX
ajst-29855	127	5	pycharm	pycharm	VERB
ajst-29855	127	6	community	community	NOUN
ajst-29855	127	7	edition	edition	NOUN
ajst-29855	127	8	,	,	PUNCT
ajst-29855	127	9	python	python	PROPN
ajst-29855	127	10	version	version	PROPN
ajst-29855	127	11	3.11.4	3.11.4	NUM
ajst-29855	127	12	,	,	PUNCT
ajst-29855	127	13	and	and	CCONJ
ajst-29855	127	14	the	the	DET
ajst-29855	127	15	hardware	hardware	NOUN
ajst-29855	127	16	conditions	condition	NOUN
ajst-29855	127	17	were	be	AUX
ajst-29855	127	18	nvidia	nvidia	PROPN
ajst-29855	127	19	geforce	geforce	NOUN
ajst-29855	127	20	rtx4060	rtx4060	NOUN
ajst-29855	127	21	laptop	laptop	PROPN
ajst-29855	127	22	gpu	gpu	PROPN
ajst-29855	127	23	graphics	graphic	NOUN
ajst-29855	127	24	card	card	NOUN
ajst-29855	127	25	,	,	PUNCT
ajst-29855	127	26	amd	amd	PROPN
ajst-29855	127	27	ryzen	ryzen	ADJ
ajst-29855	127	28	7	7	NUM
ajst-29855	127	29	7840h	7840h	NOUN
ajst-29855	127	30	,	,	PUNCT
ajst-29855	127	31	3.80	3.80	NUM
ajst-29855	127	32	ghz	ghz	NOUN
ajst-29855	127	33	processor	processor	NOUN
ajst-29855	127	34	,	,	PUNCT
ajst-29855	127	35	and	and	CCONJ
ajst-29855	127	36	16	16	NUM
ajst-29855	127	37	gb	gb	NOUN
ajst-29855	127	38	of	of	ADP
ajst-29855	127	39	ram	ram	NOUN
ajst-29855	127	40	.	.	PUNCT
ajst-29855	128	1	4.2	4.2	NUM
ajst-29855	128	2	.	.	PUNCT
ajst-29855	129	1	parameter	parameter	NOUN
ajst-29855	129	2	settings	setting	VERB
ajst-29855	129	3	the	the	DET
ajst-29855	129	4	flocculation	flocculation	NOUN
ajst-29855	129	5	image	image	NOUN
ajst-29855	129	6	dataset	dataset	VERB
ajst-29855	129	7	for	for	ADP
ajst-29855	129	8	this	this	DET
ajst-29855	129	9	experiment	experiment	NOUN
ajst-29855	129	10	is	be	AUX
ajst-29855	129	11	divided	divide	VERB
ajst-29855	129	12	into	into	ADP
ajst-29855	129	13	training	training	NOUN
ajst-29855	129	14	and	and	CCONJ
ajst-29855	129	15	testing	testing	NOUN
ajst-29855	129	16	sets	set	NOUN
ajst-29855	129	17	in	in	ADP
ajst-29855	129	18	the	the	DET
ajst-29855	129	19	ratio	ratio	NOUN
ajst-29855	129	20	of	of	ADP
ajst-29855	129	21	8:2	8:2	NUM
ajst-29855	129	22	,	,	PUNCT
ajst-29855	129	23	totaling	total	VERB
ajst-29855	129	24	6935	6935	NUM
ajst-29855	129	25	images	image	NOUN
ajst-29855	129	26	,	,	PUNCT
ajst-29855	129	27	which	which	PRON
ajst-29855	129	28	are	be	AUX
ajst-29855	129	29	used	use	VERB
ajst-29855	129	30	for	for	ADP
ajst-29855	129	31	model	model	NOUN
ajst-29855	129	32	training	training	NOUN
ajst-29855	129	33	and	and	CCONJ
ajst-29855	129	34	testing	testing	NOUN
ajst-29855	129	35	,	,	PUNCT
ajst-29855	129	36	respectively	respectively	ADV
ajst-29855	129	37	.	.	PUNCT
ajst-29855	130	1	the	the	DET
ajst-29855	130	2	number	number	NOUN
ajst-29855	130	3	of	of	ADP
ajst-29855	130	4	flocculated	flocculated	ADJ
ajst-29855	130	5	image	image	NOUN
ajst-29855	130	6	classes	class	NOUN
ajst-29855	130	7	is	be	AUX
ajst-29855	130	8	3	3	NUM
ajst-29855	130	9	,	,	PUNCT
ajst-29855	130	10	which	which	PRON
ajst-29855	130	11	is	be	AUX
ajst-29855	130	12	categorized	categorize	VERB
ajst-29855	130	13	into	into	ADP
ajst-29855	130	14	class	class	NOUN
ajst-29855	130	15	0	0	NUM
ajst-29855	130	16	(	(	PUNCT
ajst-29855	130	17	pre	pre	ADJ
ajst-29855	130	18	)	)	PUNCT
ajst-29855	130	19	,	,	PUNCT
ajst-29855	130	20	class	class	NOUN
ajst-29855	130	21	1	1	NUM
ajst-29855	130	22	(	(	PUNCT
ajst-29855	130	23	mid	mid	NOUN
ajst-29855	130	24	)	)	PUNCT
ajst-29855	130	25	,	,	PUNCT
ajst-29855	130	26	and	and	CCONJ
ajst-29855	130	27	class	class	NOUN
ajst-29855	130	28	2	2	NUM
ajst-29855	130	29	(	(	PUNCT
ajst-29855	130	30	post	post	NOUN
ajst-29855	130	31	)	)	PUNCT
ajst-29855	130	32	.	.	PUNCT
ajst-29855	131	1	therefore	therefore	ADV
ajst-29855	131	2	,	,	PUNCT
ajst-29855	131	3	the	the	DET
ajst-29855	131	4	fully	fully	ADV
ajst-29855	131	5	connected	connected	ADJ
ajst-29855	131	6	layer	layer	NOUN
ajst-29855	131	7	of	of	ADP
ajst-29855	131	8	all	all	DET
ajst-29855	131	9	models	model	NOUN
ajst-29855	131	10	is	be	AUX
ajst-29855	131	11	modified	modify	VERB
ajst-29855	131	12	to	to	ADP
ajst-29855	131	13	3	3	NUM
ajst-29855	131	14	.	.	PUNCT
ajst-29855	132	1	the	the	DET
ajst-29855	132	2	initial	initial	ADJ
ajst-29855	132	3	learning	learning	NOUN
ajst-29855	132	4	rate	rate	NOUN
ajst-29855	132	5	of	of	ADP
ajst-29855	132	6	the	the	DET
ajst-29855	132	7	adam	adam	PROPN
ajst-29855	132	8	optimizer	optimizer	NOUN
ajst-29855	132	9	is	be	AUX
ajst-29855	132	10	set	set	VERB
ajst-29855	132	11	to	to	ADP
ajst-29855	132	12	0.0001	0.0001	NUM
ajst-29855	132	13	,	,	PUNCT
ajst-29855	132	14	the	the	DET
ajst-29855	132	15	batch	batch	NOUN
ajst-29855	132	16	size	size	NOUN
ajst-29855	132	17	(	(	PUNCT
ajst-29855	132	18	batch	batch	NOUN
ajst-29855	132	19	size	size	NOUN
ajst-29855	132	20	)	)	PUNCT
ajst-29855	132	21	is	be	AUX
ajst-29855	132	22	set	set	VERB
ajst-29855	132	23	to	to	ADP
ajst-29855	132	24	16	16	NUM
ajst-29855	132	25	,	,	PUNCT
ajst-29855	132	26	and	and	CCONJ
ajst-29855	132	27	the	the	DET
ajst-29855	132	28	number	number	NOUN
ajst-29855	132	29	of	of	ADP
ajst-29855	132	30	iterative	iterative	NOUN
ajst-29855	132	31	training	training	NOUN
ajst-29855	132	32	rounds	round	NOUN
ajst-29855	132	33	epochs	epoch	NOUN
ajst-29855	132	34	is	be	AUX
ajst-29855	132	35	set	set	VERB
ajst-29855	132	36	to	to	ADP
ajst-29855	132	37	70	70	NUM
ajst-29855	132	38	rounds	round	NOUN
ajst-29855	132	39	for	for	ADP
ajst-29855	132	40	all	all	DET
ajst-29855	132	41	models	model	NOUN
ajst-29855	132	42	,	,	PUNCT
ajst-29855	132	43	and	and	CCONJ
ajst-29855	132	44	the	the	DET
ajst-29855	132	45	rest	rest	NOUN
ajst-29855	132	46	of	of	ADP
ajst-29855	132	47	the	the	DET
ajst-29855	132	48	parameters	parameter	NOUN
ajst-29855	132	49	are	be	AUX
ajst-29855	132	50	set	set	VERB
ajst-29855	132	51	as	as	ADP
ajst-29855	132	52	default	default	NOUN
ajst-29855	132	53	.	.	PUNCT
ajst-29855	133	1	4.3	4.3	NUM
ajst-29855	133	2	.	.	PUNCT
ajst-29855	133	3	improved	improve	VERB
ajst-29855	133	4	resnet50	resnet50	NOUN
ajst-29855	133	5	ablation	ablation	NOUN
ajst-29855	133	6	experiment	experiment	NOUN
ajst-29855	133	7	results	result	NOUN
ajst-29855	133	8	to	to	PART
ajst-29855	133	9	verify	verify	VERB
ajst-29855	133	10	the	the	DET
ajst-29855	133	11	effectiveness	effectiveness	NOUN
ajst-29855	133	12	of	of	ADP
ajst-29855	133	13	the	the	DET
ajst-29855	133	14	relevant	relevant	ADJ
ajst-29855	133	15	improvements	improvement	NOUN
ajst-29855	133	16	in	in	ADP
ajst-29855	133	17	the	the	DET
ajst-29855	133	18	hresnet50	hresnet50	NOUN
ajst-29855	133	19	network	network	NOUN
ajst-29855	133	20	constructed	construct	VERB
ajst-29855	133	21	in	in	ADP
ajst-29855	133	22	this	this	DET
ajst-29855	133	23	paper	paper	NOUN
ajst-29855	133	24	,	,	PUNCT
ajst-29855	133	25	ablation	ablation	NOUN
ajst-29855	133	26	experiments	experiment	NOUN
ajst-29855	133	27	are	be	AUX
ajst-29855	133	28	conducted	conduct	VERB
ajst-29855	133	29	on	on	ADP
ajst-29855	133	30	the	the	DET
ajst-29855	133	31	resnet50	resnet50	NOUN
ajst-29855	133	32	model	model	NOUN
ajst-29855	133	33	with	with	ADP
ajst-29855	133	34	different	different	ADJ
ajst-29855	133	35	improvements	improvement	NOUN
ajst-29855	133	36	using	use	VERB
ajst-29855	133	37	the	the	DET
ajst-29855	133	38	same	same	ADJ
ajst-29855	133	39	dataset	dataset	NOUN
ajst-29855	133	40	.	.	PUNCT
ajst-29855	134	1	to	to	PART
ajst-29855	134	2	determine	determine	VERB
ajst-29855	134	3	the	the	DET
ajst-29855	134	4	impact	impact	NOUN
ajst-29855	134	5	of	of	ADP
ajst-29855	134	6	each	each	DET
ajst-29855	134	7	part	part	NOUN
ajst-29855	134	8	of	of	ADP
ajst-29855	134	9	the	the	DET
ajst-29855	134	10	improvement	improvement	NOUN
ajst-29855	134	11	on	on	ADP
ajst-29855	134	12	the	the	DET
ajst-29855	134	13	overall	overall	ADJ
ajst-29855	134	14	performance	performance	NOUN
ajst-29855	134	15	of	of	ADP
ajst-29855	134	16	the	the	DET
ajst-29855	134	17	model	model	NOUN
ajst-29855	134	18	.	.	PUNCT
ajst-29855	135	1	in	in	ADP
ajst-29855	135	2	this	this	DET
ajst-29855	135	3	ablation	ablation	NOUN
ajst-29855	135	4	experiment	experiment	NOUN
ajst-29855	135	5	,	,	PUNCT
ajst-29855	135	6	the	the	DET
ajst-29855	135	7	learning	learning	NOUN
ajst-29855	135	8	rate	rate	NOUN
ajst-29855	135	9	is	be	AUX
ajst-29855	135	10	0.0001	0.0001	NUM
ajst-29855	135	11	,	,	PUNCT
ajst-29855	135	12	the	the	DET
ajst-29855	135	13	number	number	NOUN
ajst-29855	135	14	of	of	ADP
ajst-29855	135	15	iterative	iterative	NOUN
ajst-29855	135	16	training	training	NOUN
ajst-29855	135	17	rounds	round	NOUN
ajst-29855	135	18	is	be	AUX
ajst-29855	135	19	70	70	NUM
ajst-29855	135	20	,	,	PUNCT
ajst-29855	135	21	and	and	CCONJ
ajst-29855	135	22	the	the	DET
ajst-29855	135	23	batch	batch	NOUN
ajst-29855	135	24	size	size	NOUN
ajst-29855	135	25	is	be	AUX
ajst-29855	135	26	16	16	NUM
ajst-29855	135	27	.	.	PUNCT
ajst-29855	136	1	gam	gam	NOUN
ajst-29855	136	2	-	-	PUNCT
ajst-29855	136	3	resnet50	resnet50	NOUN
ajst-29855	136	4	denotes	denote	VERB
ajst-29855	136	5	the	the	DET
ajst-29855	136	6	model	model	NOUN
ajst-29855	136	7	with	with	ADP
ajst-29855	136	8	only	only	ADV
ajst-29855	136	9	the	the	DET
ajst-29855	136	10	addition	addition	NOUN
ajst-29855	136	11	of	of	ADP
ajst-29855	136	12	the	the	DET
ajst-29855	136	13	gam	gam	NOUN
ajst-29855	136	14	global	global	ADJ
ajst-29855	136	15	attention	attention	NOUN
ajst-29855	136	16	mechanism	mechanism	NOUN
ajst-29855	136	17	,	,	PUNCT
ajst-29855	136	18	and	and	CCONJ
ajst-29855	136	19	od	od	NUM
ajst-29855	136	20	-	-	PUNCT
ajst-29855	136	21	resnet50	resnet50	NOUN
ajst-29855	136	22	denotes	denote	VERB
ajst-29855	136	23	the	the	DET
ajst-29855	136	24	model	model	NOUN
ajst-29855	136	25	with	with	ADP
ajst-29855	136	26	only	only	ADV
ajst-29855	136	27	the	the	DET
ajst-29855	136	28	addition	addition	NOUN
ajst-29855	136	29	of	of	ADP
ajst-29855	136	30	the	the	DET
ajst-29855	136	31	odconv	odconv	ADJ
ajst-29855	136	32	full	full	ADV
ajst-29855	136	33	-	-	PUNCT
ajst-29855	136	34	dimensional	dimensional	ADJ
ajst-29855	136	35	dynamic	dynamic	ADJ
ajst-29855	136	36	convolution	convolution	NOUN
ajst-29855	136	37	.	.	PUNCT
ajst-29855	137	1	the	the	DET
ajst-29855	137	2	specific	specific	ADJ
ajst-29855	137	3	results	result	NOUN
ajst-29855	137	4	of	of	ADP
ajst-29855	137	5	the	the	DET
ajst-29855	137	6	ablation	ablation	NOUN
ajst-29855	137	7	experiments	experiment	NOUN
ajst-29855	137	8	are	be	AUX
ajst-29855	137	9	shown	show	VERB
ajst-29855	137	10	in	in	ADP
ajst-29855	137	11	table	table	NOUN
ajst-29855	137	12	2	2	NUM
ajst-29855	137	13	.	.	PUNCT
ajst-29855	137	14	figure	figure	NOUN
ajst-29855	137	15	11	11	NUM
ajst-29855	137	16	shows	show	VERB
ajst-29855	137	17	the	the	DET
ajst-29855	137	18	accuracy	accuracy	NOUN
ajst-29855	137	19	change	change	NOUN
ajst-29855	137	20	curve	curve	NOUN
ajst-29855	137	21	between	between	ADP
ajst-29855	137	22	the	the	DET
ajst-29855	137	23	original	original	ADJ
ajst-29855	137	24	model	model	NOUN
ajst-29855	137	25	and	and	CCONJ
ajst-29855	137	26	hresnet50	hresnet50	NOUN
ajst-29855	137	27	.	.	PUNCT
ajst-29855	138	1	figure	figure	VERB
ajst-29855	138	2	11	11	NUM
ajst-29855	138	3	.	.	PUNCT
ajst-29855	139	1	test	test	NOUN
ajst-29855	139	2	accuracy	accuracy	NOUN
ajst-29855	139	3	curve	curve	NOUN
ajst-29855	139	4	of	of	ADP
ajst-29855	139	5	the	the	DET
ajst-29855	139	6	original	original	ADJ
ajst-29855	139	7	network	network	NOUN
ajst-29855	139	8	and	and	CCONJ
ajst-29855	139	9	improved	improved	ADJ
ajst-29855	139	10	network	network	NOUN
ajst-29855	139	11	model	model	NOUN
ajst-29855	139	12	table	table	NOUN
ajst-29855	139	13	2	2	NUM
ajst-29855	139	14	.	.	PUNCT
ajst-29855	139	15	ablation	ablation	NOUN
ajst-29855	139	16	results	result	NOUN
ajst-29855	139	17	of	of	ADP
ajst-29855	139	18	the	the	DET
ajst-29855	139	19	modified	modified	ADJ
ajst-29855	139	20	resnet50	resnet50	NOUN
ajst-29855	139	21	model	model	NOUN
ajst-29855	139	22	model	model	PROPN
ajst-29855	139	23	name	name	NOUN
ajst-29855	139	24	iteration	iteration	NOUN
ajst-29855	139	25	rounds	round	VERB
ajst-29855	139	26	training	training	NOUN
ajst-29855	139	27	accuracy/%	accuracy/%	NOUN
ajst-29855	139	28	test	test	NOUN
ajst-29855	139	29	accuracy/%	accuracy/%	AUX
ajst-29855	139	30	resnet50	resnet50	VERB
ajst-29855	139	31	gam	gam	PROPN
ajst-29855	139	32	-	-	NOUN
ajst-29855	139	33	resnet50	resnet50	NOUN
ajst-29855	139	34	70	70	NUM
ajst-29855	139	35	70	70	NUM
ajst-29855	139	36	97.96	97.96	NUM
ajst-29855	139	37	98.86	98.86	NUM
ajst-29855	139	38	97.23	97.23	NUM
ajst-29855	139	39	98.65	98.65	NUM
ajst-29855	139	40	od	od	NUM
ajst-29855	139	41	-	-	PUNCT
ajst-29855	139	42	resnet50	resnet50	NOUN
ajst-29855	139	43	70	70	NUM
ajst-29855	139	44	99.15	99.15	NUM
ajst-29855	139	45	98.77	98.77	NUM
ajst-29855	139	46	hresnet50	hresnet50	NOUN
ajst-29855	139	47	70	70	NUM
ajst-29855	139	48	99.57	99.57	NUM
ajst-29855	139	49	99.16	99.16	NUM
ajst-29855	139	50	the	the	DET
ajst-29855	139	51	above	above	ADJ
ajst-29855	139	52	table	table	NOUN
ajst-29855	139	53	shows	show	VERB
ajst-29855	139	54	that	that	SCONJ
ajst-29855	139	55	the	the	DET
ajst-29855	139	56	network	network	NOUN
ajst-29855	139	57	introducing	introduce	VERB
ajst-29855	139	58	the	the	DET
ajst-29855	139	59	gam	gam	NOUN
ajst-29855	139	60	global	global	ADJ
ajst-29855	139	61	attention	attention	NOUN
ajst-29855	139	62	mechanism	mechanism	NOUN
ajst-29855	139	63	improves	improve	VERB
ajst-29855	139	64	the	the	DET
ajst-29855	139	65	training	training	NOUN
ajst-29855	139	66	accuracy	accuracy	NOUN
ajst-29855	139	67	by	by	ADP
ajst-29855	139	68	0.9	0.9	NUM
ajst-29855	139	69	%	%	NOUN
ajst-29855	139	70	and	and	CCONJ
ajst-29855	139	71	the	the	DET
ajst-29855	139	72	testing	testing	NOUN
ajst-29855	139	73	accuracy	accuracy	NOUN
ajst-29855	139	74	by	by	ADP
ajst-29855	139	75	1.42	1.42	NUM
ajst-29855	139	76	%	%	NOUN
ajst-29855	139	77	based	base	VERB
ajst-29855	139	78	on	on	ADP
ajst-29855	139	79	the	the	DET
ajst-29855	139	80	original	original	ADJ
ajst-29855	139	81	network	network	NOUN
ajst-29855	139	82	.	.	PUNCT
ajst-29855	140	1	the	the	DET
ajst-29855	140	2	network	network	NOUN
ajst-29855	140	3	introducing	introduce	VERB
ajst-29855	140	4	odconv	odconv	ADJ
ajst-29855	140	5	fulldimensional	fulldimensional	ADJ
ajst-29855	140	6	dynamic	dynamic	ADJ
ajst-29855	140	7	convolution	convolution	NOUN
ajst-29855	140	8	improves	improve	VERB
ajst-29855	140	9	the	the	DET
ajst-29855	140	10	training	training	NOUN
ajst-29855	140	11	accuracy	accuracy	NOUN
ajst-29855	140	12	by	by	ADP
ajst-29855	140	13	1.19	1.19	NUM
ajst-29855	140	14	%	%	NOUN
ajst-29855	140	15	and	and	CCONJ
ajst-29855	140	16	the	the	DET
ajst-29855	140	17	testing	testing	NOUN
ajst-29855	140	18	accuracy	accuracy	NOUN
ajst-29855	140	19	by	by	ADP
ajst-29855	140	20	1.54	1.54	NUM
ajst-29855	140	21	%	%	NOUN
ajst-29855	140	22	based	base	VERB
ajst-29855	140	23	on	on	ADP
ajst-29855	140	24	the	the	DET
ajst-29855	140	25	original	original	ADJ
ajst-29855	140	26	network	network	NOUN
ajst-29855	140	27	.	.	PUNCT
ajst-29855	141	1	both	both	DET
ajst-29855	141	2	parts	part	NOUN
ajst-29855	141	3	of	of	ADP
ajst-29855	141	4	the	the	DET
ajst-29855	141	5	improvement	improvement	NOUN
ajst-29855	141	6	affect	affect	VERB
ajst-29855	141	7	the	the	DET
ajst-29855	141	8	classification	classification	NOUN
ajst-29855	141	9	accuracy	accuracy	NOUN
ajst-29855	141	10	of	of	ADP
ajst-29855	141	11	the	the	DET
ajst-29855	141	12	original	original	ADJ
ajst-29855	141	13	resnet50	resnet50	NOUN
ajst-29855	141	14	model	model	NOUN
ajst-29855	141	15	.	.	PUNCT
ajst-29855	142	1	overall	overall	ADV
ajst-29855	142	2	,	,	PUNCT
ajst-29855	142	3	the	the	DET
ajst-29855	142	4	improved	improved	ADJ
ajst-29855	142	5	h	h	NOUN
ajst-29855	142	6	-	-	PUNCT
ajst-29855	142	7	resnet50	resnet50	NOUN
ajst-29855	142	8	model	model	NOUN
ajst-29855	142	9	improves	improve	VERB
ajst-29855	142	10	the	the	DET
ajst-29855	142	11	training	training	NOUN
ajst-29855	142	12	accuracy	accuracy	NOUN
ajst-29855	142	13	and	and	CCONJ
ajst-29855	142	14	test	test	NOUN
ajst-29855	142	15	accuracy	accuracy	NOUN
ajst-29855	142	16	by	by	ADP
ajst-29855	142	17	1.61	1.61	NUM
ajst-29855	142	18	%	%	NOUN
ajst-29855	142	19	and	and	CCONJ
ajst-29855	142	20	1.93	1.93	NUM
ajst-29855	142	21	%	%	NOUN
ajst-29855	142	22	,	,	PUNCT
ajst-29855	142	23	respectively	respectively	ADV
ajst-29855	142	24	,	,	PUNCT
ajst-29855	142	25	compared	compare	VERB
ajst-29855	142	26	with	with	ADP
ajst-29855	142	27	the	the	DET
ajst-29855	142	28	original	original	ADJ
ajst-29855	142	29	resnet50	resnet50	NOUN
ajst-29855	142	30	model	model	NOUN
ajst-29855	142	31	.	.	PUNCT
ajst-29855	143	1	the	the	DET
ajst-29855	143	2	fusion	fusion	NOUN
ajst-29855	143	3	of	of	ADP
ajst-29855	143	4	the	the	DET
ajst-29855	143	5	two	two	NUM
ajst-29855	143	6	parts	part	NOUN
ajst-29855	143	7	of	of	ADP
ajst-29855	143	8	the	the	DET
ajst-29855	143	9	improved	improved	ADJ
ajst-29855	143	10	method	method	NOUN
ajst-29855	143	11	can	can	AUX
ajst-29855	143	12	optimize	optimize	VERB
ajst-29855	143	13	the	the	DET
ajst-29855	143	14	overall	overall	ADJ
ajst-29855	143	15	performance	performance	NOUN
ajst-29855	143	16	of	of	ADP
ajst-29855	143	17	the	the	DET
ajst-29855	143	18	original	original	ADJ
ajst-29855	143	19	model	model	NOUN
ajst-29855	143	20	to	to	ADP
ajst-29855	143	21	a	a	DET
ajst-29855	143	22	greater	great	ADJ
ajst-29855	143	23	extent	extent	NOUN
ajst-29855	143	24	.	.	PUNCT
ajst-29855	144	1	4.4	4.4	NUM
ajst-29855	144	2	.	.	PUNCT
ajst-29855	145	1	performance	performance	NOUN
ajst-29855	145	2	comparison	comparison	NOUN
ajst-29855	145	3	of	of	ADP
ajst-29855	145	4	different	different	ADJ
ajst-29855	145	5	network	network	NOUN
ajst-29855	145	6	models	model	NOUN
ajst-29855	145	7	to	to	PART
ajst-29855	145	8	further	far	ADV
ajst-29855	145	9	verify	verify	VERB
ajst-29855	145	10	the	the	DET
ajst-29855	145	11	effectiveness	effectiveness	NOUN
ajst-29855	145	12	of	of	ADP
ajst-29855	145	13	the	the	DET
ajst-29855	145	14	hresnet50	hresnet50	NOUN
ajst-29855	145	15	network	network	NOUN
ajst-29855	145	16	,	,	PUNCT
ajst-29855	145	17	the	the	DET
ajst-29855	145	18	model	model	NOUN
ajst-29855	145	19	designed	design	VERB
ajst-29855	145	20	in	in	ADP
ajst-29855	145	21	this	this	DET
ajst-29855	145	22	paper	paper	NOUN
ajst-29855	145	23	is	be	AUX
ajst-29855	145	24	compared	compare	VERB
ajst-29855	145	25	with	with	ADP
ajst-29855	145	26	the	the	DET
ajst-29855	145	27	current	current	ADJ
ajst-29855	145	28	network	network	NOUN
ajst-29855	145	29	models	model	NOUN
ajst-29855	145	30	commonly	commonly	ADV
ajst-29855	145	31	used	use	VERB
ajst-29855	145	32	in	in	ADP
ajst-29855	145	33	image	image	NOUN
ajst-29855	145	34	classification	classification	NOUN
ajst-29855	145	35	,	,	PUNCT
ajst-29855	145	36	alexnet	alexnet	NOUN
ajst-29855	145	37	,	,	PUNCT
ajst-29855	145	38	vgg16	vgg16	NOUN
ajst-29855	145	39	,	,	PUNCT
ajst-29855	145	40	googlenet	googlenet	NOUN
ajst-29855	145	41	,	,	PUNCT
ajst-29855	145	42	resnet34	resnet34	NOUN
ajst-29855	145	43	,	,	PUNCT
ajst-29855	145	44	and	and	CCONJ
ajst-29855	145	45	resnet50	resnet50	NOUN
ajst-29855	145	46	are	be	AUX
ajst-29855	145	47	selected	select	VERB
ajst-29855	145	48	for	for	ADP
ajst-29855	145	49	the	the	DET
ajst-29855	145	50	performance	performance	NOUN
ajst-29855	145	51	comparison	comparison	NOUN
ajst-29855	145	52	experiments	experiment	NOUN
ajst-29855	145	53	,	,	PUNCT
ajst-29855	145	54	all	all	DET
ajst-29855	145	55	the	the	DET
ajst-29855	145	56	network	network	NOUN
ajst-29855	145	57	models	model	NOUN
ajst-29855	145	58	are	be	AUX
ajst-29855	145	59	run	run	VERB
ajst-29855	145	60	under	under	ADP
ajst-29855	145	61	the	the	DET
ajst-29855	145	62	same	same	ADJ
ajst-29855	145	63	parameter	parameter	NOUN
ajst-29855	145	64	conditions	condition	NOUN
ajst-29855	145	65	,	,	PUNCT
ajst-29855	145	66	and	and	CCONJ
ajst-29855	145	67	the	the	DET
ajst-29855	145	68	different	different	ADJ
ajst-29855	145	69	network	network	NOUN
ajst-29855	145	70	models	model	VERB
ajst-29855	145	71	classification	classification	NOUN
ajst-29855	145	72	accuracy	accuracy	NOUN
ajst-29855	145	73	comparison	comparison	NOUN
ajst-29855	145	74	is	be	AUX
ajst-29855	145	75	shown	show	VERB
ajst-29855	145	76	in	in	ADP
ajst-29855	145	77	table	table	NOUN
ajst-29855	146	1	3	3	NUM
ajst-29855	146	2	.	.	X
ajst-29855	146	3	54	54	NUM
ajst-29855	146	4	table	table	NOUN
ajst-29855	146	5	3	3	NUM
ajst-29855	146	6	.	.	PUNCT
ajst-29855	146	7	comparison	comparison	NOUN
ajst-29855	146	8	of	of	ADP
ajst-29855	146	9	classification	classification	NOUN
ajst-29855	146	10	accuracy	accuracy	NOUN
ajst-29855	146	11	of	of	ADP
ajst-29855	146	12	different	different	ADJ
ajst-29855	146	13	network	network	NOUN
ajst-29855	146	14	models	model	NOUN
ajst-29855	146	15	model	model	NOUN
ajst-29855	146	16	name	name	NOUN
ajst-29855	146	17	iteration	iteration	NOUN
ajst-29855	146	18	rounds	round	NOUN
ajst-29855	146	19	test	test	NOUN
ajst-29855	146	20	accuracy/%	accuracy/%	ADP
ajst-29855	146	21	alexnet	alexnet	PROPN
ajst-29855	146	22	70	70	NUM
ajst-29855	146	23	93.72	93.72	NUM
ajst-29855	146	24	vgg16	vgg16	VERB
ajst-29855	146	25	70	70	NUM
ajst-29855	146	26	94.85	94.85	NUM
ajst-29855	146	27	googlenet	googlenet	NOUN
ajst-29855	146	28	70	70	NUM
ajst-29855	146	29	95.75	95.75	NUM
ajst-29855	146	30	resnet34	resnet34	NOUN
ajst-29855	146	31	70	70	NUM
ajst-29855	146	32	96.97	96.97	NUM
ajst-29855	146	33	resnet50	resnet50	NOUN
ajst-29855	146	34	70	70	NUM
ajst-29855	146	35	97.23	97.23	NUM
ajst-29855	146	36	h	h	NOUN
ajst-29855	146	37	-	-	PUNCT
ajst-29855	146	38	resnet50	resnet50	NOUN
ajst-29855	146	39	70	70	NUM
ajst-29855	146	40	99.16	99.16	NUM
ajst-29855	146	41	the	the	DET
ajst-29855	146	42	above	above	ADJ
ajst-29855	146	43	table	table	NOUN
ajst-29855	146	44	shows	show	VERB
ajst-29855	146	45	that	that	SCONJ
ajst-29855	146	46	the	the	DET
ajst-29855	146	47	classification	classification	NOUN
ajst-29855	146	48	accuracy	accuracy	NOUN
ajst-29855	146	49	of	of	ADP
ajst-29855	146	50	the	the	DET
ajst-29855	146	51	h	h	NOUN
ajst-29855	146	52	-	-	PUNCT
ajst-29855	146	53	resnet50	resnet50	NOUN
ajst-29855	146	54	network	network	NOUN
ajst-29855	146	55	is	be	AUX
ajst-29855	146	56	99.16	99.16	NUM
ajst-29855	146	57	%	%	NOUN
ajst-29855	146	58	,	,	PUNCT
ajst-29855	146	59	which	which	PRON
ajst-29855	146	60	is	be	AUX
ajst-29855	146	61	5.44	5.44	NUM
ajst-29855	146	62	%	%	NOUN
ajst-29855	146	63	,	,	PUNCT
ajst-29855	146	64	4.31	4.31	NUM
ajst-29855	146	65	%	%	NOUN
ajst-29855	146	66	,	,	PUNCT
ajst-29855	146	67	3.41	3.41	NUM
ajst-29855	146	68	%	%	NOUN
ajst-29855	146	69	,	,	PUNCT
ajst-29855	146	70	2.19	2.19	NUM
ajst-29855	146	71	%	%	NOUN
ajst-29855	146	72	,	,	PUNCT
ajst-29855	146	73	and	and	CCONJ
ajst-29855	146	74	1.93	1.93	NUM
ajst-29855	146	75	%	%	NOUN
ajst-29855	146	76	higher	high	ADJ
ajst-29855	146	77	than	than	ADP
ajst-29855	146	78	alexnet	alexnet	NOUN
ajst-29855	146	79	,	,	PUNCT
ajst-29855	146	80	vgg16	vgg16	NOUN
ajst-29855	146	81	,	,	PUNCT
ajst-29855	146	82	googlenet	googlenet	NOUN
ajst-29855	146	83	,	,	PUNCT
ajst-29855	146	84	resnet34	resnet34	NOUN
ajst-29855	146	85	,	,	PUNCT
ajst-29855	146	86	and	and	CCONJ
ajst-29855	146	87	resnet50	resnet50	NOUN
ajst-29855	146	88	,	,	PUNCT
ajst-29855	146	89	respectively	respectively	ADV
ajst-29855	146	90	,	,	PUNCT
ajst-29855	146	91	and	and	CCONJ
ajst-29855	146	92	the	the	DET
ajst-29855	146	93	h	h	NOUN
ajst-29855	146	94	-	-	PUNCT
ajst-29855	146	95	resnet50	resnet50	NOUN
ajst-29855	146	96	achieves	achieve	VERB
ajst-29855	146	97	the	the	DET
ajst-29855	146	98	optimal	optimal	ADJ
ajst-29855	146	99	accuracy	accuracy	NOUN
ajst-29855	146	100	rate	rate	NOUN
ajst-29855	146	101	in	in	ADP
ajst-29855	146	102	the	the	DET
ajst-29855	146	103	drilling	drilling	NOUN
ajst-29855	146	104	fluid	fluid	ADJ
ajst-29855	146	105	waste	waste	NOUN
ajst-29855	146	106	floc	floc	NOUN
ajst-29855	146	107	classification	classification	NOUN
ajst-29855	146	108	the	the	DET
ajst-29855	146	109	optimal	optimal	ADJ
ajst-29855	146	110	accuracy	accuracy	NOUN
ajst-29855	146	111	was	be	AUX
ajst-29855	146	112	achieved	achieve	VERB
ajst-29855	146	113	in	in	ADP
ajst-29855	146	114	the	the	DET
ajst-29855	146	115	task	task	NOUN
ajst-29855	146	116	,	,	PUNCT
ajst-29855	146	117	and	and	CCONJ
ajst-29855	146	118	the	the	DET
ajst-29855	146	119	classification	classification	NOUN
ajst-29855	146	120	performance	performance	NOUN
ajst-29855	146	121	of	of	ADP
ajst-29855	146	122	the	the	DET
ajst-29855	146	123	algorithm	algorithm	NOUN
ajst-29855	146	124	was	be	AUX
ajst-29855	146	125	improved	improve	VERB
ajst-29855	146	126	by	by	ADP
ajst-29855	146	127	adding	add	VERB
ajst-29855	146	128	the	the	DET
ajst-29855	146	129	global	global	ADJ
ajst-29855	146	130	attention	attention	NOUN
ajst-29855	146	131	mechanism	mechanism	NOUN
ajst-29855	146	132	and	and	CCONJ
ajst-29855	146	133	full	full	ADJ
ajst-29855	146	134	-	-	PUNCT
ajst-29855	146	135	dimensional	dimensional	ADJ
ajst-29855	146	136	dynamic	dynamic	ADJ
ajst-29855	146	137	convolution	convolution	NOUN
ajst-29855	146	138	to	to	ADP
ajst-29855	146	139	the	the	DET
ajst-29855	146	140	original	original	ADJ
ajst-29855	146	141	model	model	NOUN
ajst-29855	146	142	,	,	PUNCT
ajst-29855	146	143	which	which	PRON
ajst-29855	146	144	increased	increase	VERB
ajst-29855	146	145	the	the	DET
ajst-29855	146	146	model	model	NOUN
ajst-29855	146	147	's	's	PART
ajst-29855	146	148	focus	focus	NOUN
ajst-29855	146	149	on	on	ADP
ajst-29855	146	150	useful	useful	ADJ
ajst-29855	146	151	information	information	NOUN
ajst-29855	146	152	such	such	ADJ
ajst-29855	146	153	as	as	ADP
ajst-29855	146	154	flocs	floc	NOUN
ajst-29855	146	155	,	,	PUNCT
ajst-29855	146	156	and	and	CCONJ
ajst-29855	146	157	improved	improve	VERB
ajst-29855	146	158	the	the	DET
ajst-29855	146	159	adaptability	adaptability	NOUN
ajst-29855	146	160	of	of	ADP
ajst-29855	146	161	the	the	DET
ajst-29855	146	162	network	network	NOUN
ajst-29855	146	163	.	.	PUNCT
ajst-29855	147	1	4.5	4.5	NUM
ajst-29855	147	2	.	.	PUNCT
ajst-29855	148	1	confusion	confusion	NOUN
ajst-29855	148	2	matrix	matrix	NOUN
ajst-29855	148	3	for	for	ADP
ajst-29855	148	4	drilling	drill	VERB
ajst-29855	148	5	fluid	fluid	ADJ
ajst-29855	148	6	flocculation	flocculation	NOUN
ajst-29855	148	7	identification	identification	NOUN
ajst-29855	148	8	model	model	NOUN
ajst-29855	148	9	the	the	DET
ajst-29855	148	10	confusion	confusion	NOUN
ajst-29855	148	11	matrix	matrix	NOUN
ajst-29855	148	12	has	have	VERB
ajst-29855	148	13	a	a	DET
ajst-29855	148	14	more	more	ADV
ajst-29855	148	15	intuitive	intuitive	ADJ
ajst-29855	148	16	display	display	NOUN
ajst-29855	148	17	in	in	ADP
ajst-29855	148	18	evaluating	evaluate	VERB
ajst-29855	148	19	the	the	DET
ajst-29855	148	20	performance	performance	NOUN
ajst-29855	148	21	of	of	ADP
ajst-29855	148	22	classification	classification	NOUN
ajst-29855	148	23	models	model	NOUN
ajst-29855	148	24	.	.	PUNCT
ajst-29855	149	1	on	on	ADP
ajst-29855	149	2	the	the	DET
ajst-29855	149	3	drilling	drilling	NOUN
ajst-29855	149	4	fluid	fluid	ADJ
ajst-29855	149	5	waste	waste	NOUN
ajst-29855	149	6	fluid	fluid	NOUN
ajst-29855	149	7	flocculation	flocculation	NOUN
ajst-29855	149	8	state	state	NOUN
ajst-29855	149	9	recognition	recognition	NOUN
ajst-29855	149	10	can	can	AUX
ajst-29855	149	11	show	show	VERB
ajst-29855	149	12	the	the	DET
ajst-29855	149	13	type	type	NOUN
ajst-29855	149	14	of	of	ADP
ajst-29855	149	15	flocculation	flocculation	NOUN
ajst-29855	149	16	state	state	NOUN
ajst-29855	149	17	that	that	PRON
ajst-29855	149	18	is	be	AUX
ajst-29855	149	19	recognized	recognize	VERB
ajst-29855	149	20	incorrectly	incorrectly	ADV
ajst-29855	149	21	,	,	PUNCT
ajst-29855	149	22	in	in	ADP
ajst-29855	149	23	this	this	DET
ajst-29855	149	24	paper	paper	NOUN
ajst-29855	149	25	,	,	PUNCT
ajst-29855	149	26	we	we	PRON
ajst-29855	149	27	use	use	VERB
ajst-29855	149	28	the	the	DET
ajst-29855	149	29	image	image	NOUN
ajst-29855	149	30	dataset	dataset	NOUN
ajst-29855	149	31	containing	contain	VERB
ajst-29855	149	32	three	three	NUM
ajst-29855	149	33	types	type	NOUN
ajst-29855	149	34	of	of	ADP
ajst-29855	149	35	flocculation	flocculation	NOUN
ajst-29855	149	36	state	state	NOUN
ajst-29855	149	37	to	to	PART
ajst-29855	149	38	analyze	analyze	VERB
ajst-29855	149	39	the	the	DET
ajst-29855	149	40	effect	effect	NOUN
ajst-29855	149	41	of	of	ADP
ajst-29855	149	42	the	the	DET
ajst-29855	149	43	h	h	PROPN
ajst-29855	149	44	resnet50	resnet50	PROPN
ajst-29855	149	45	network	network	NOUN
ajst-29855	149	46	model	model	NOUN
ajst-29855	149	47	and	and	CCONJ
ajst-29855	149	48	figure	figure	VERB
ajst-29855	149	49	12	12	NUM
ajst-29855	149	50	shows	show	VERB
ajst-29855	149	51	the	the	DET
ajst-29855	149	52	results	result	NOUN
ajst-29855	149	53	of	of	ADP
ajst-29855	149	54	the	the	DET
ajst-29855	149	55	confusion	confusion	NOUN
ajst-29855	149	56	matrix	matrix	NOUN
ajst-29855	149	57	obtained	obtain	VERB
ajst-29855	149	58	.	.	PUNCT
ajst-29855	150	1	figure	figure	NOUN
ajst-29855	150	2	12	12	NUM
ajst-29855	150	3	.	.	PUNCT
ajst-29855	151	1	confusion	confusion	NOUN
ajst-29855	151	2	matrix	matrix	NOUN
ajst-29855	151	3	of	of	ADP
ajst-29855	151	4	the	the	DET
ajst-29855	151	5	test	test	NOUN
ajst-29855	151	6	set	set	VERB
ajst-29855	151	7	in	in	ADP
ajst-29855	151	8	the	the	DET
ajst-29855	151	9	flocculation	flocculation	NOUN
ajst-29855	151	10	image	image	NOUN
ajst-29855	151	11	data	datum	NOUN
ajst-29855	151	12	set	set	VERB
ajst-29855	151	13	as	as	SCONJ
ajst-29855	151	14	can	can	AUX
ajst-29855	151	15	be	be	AUX
ajst-29855	151	16	seen	see	VERB
ajst-29855	151	17	from	from	ADP
ajst-29855	151	18	figure	figure	NOUN
ajst-29855	151	19	12	12	NUM
ajst-29855	151	20	,	,	PUNCT
ajst-29855	151	21	the	the	DET
ajst-29855	151	22	confusion	confusion	NOUN
ajst-29855	151	23	matrix	matrix	NOUN
ajst-29855	151	24	shows	show	VERB
ajst-29855	151	25	the	the	DET
ajst-29855	151	26	recognition	recognition	NOUN
ajst-29855	151	27	accuracy	accuracy	NOUN
ajst-29855	151	28	of	of	ADP
ajst-29855	151	29	each	each	DET
ajst-29855	151	30	type	type	NOUN
ajst-29855	151	31	of	of	ADP
ajst-29855	151	32	flocculation	flocculation	NOUN
ajst-29855	151	33	state	state	NOUN
ajst-29855	151	34	and	and	CCONJ
ajst-29855	151	35	the	the	DET
ajst-29855	151	36	misclassification	misclassification	NOUN
ajst-29855	151	37	of	of	ADP
ajst-29855	151	38	each	each	DET
ajst-29855	151	39	type	type	NOUN
ajst-29855	151	40	in	in	ADP
ajst-29855	151	41	the	the	DET
ajst-29855	151	42	flocculation	flocculation	NOUN
ajst-29855	151	43	image	image	NOUN
ajst-29855	151	44	test	test	NOUN
ajst-29855	151	45	set	set	VERB
ajst-29855	151	46	.	.	PUNCT
ajst-29855	152	1	it	it	PRON
ajst-29855	152	2	can	can	AUX
ajst-29855	152	3	be	be	AUX
ajst-29855	152	4	found	find	VERB
ajst-29855	152	5	that	that	SCONJ
ajst-29855	152	6	the	the	DET
ajst-29855	152	7	early	early	ADJ
ajst-29855	152	8	stage	stage	NOUN
ajst-29855	152	9	of	of	ADP
ajst-29855	152	10	flocculation	flocculation	NOUN
ajst-29855	152	11	has	have	VERB
ajst-29855	152	12	the	the	DET
ajst-29855	152	13	lowest	low	ADJ
ajst-29855	152	14	recognition	recognition	NOUN
ajst-29855	152	15	accuracy	accuracy	NOUN
ajst-29855	152	16	,	,	PUNCT
ajst-29855	152	17	and	and	CCONJ
ajst-29855	152	18	the	the	DET
ajst-29855	152	19	misclassified	misclassifie	VERB
ajst-29855	152	20	images	image	NOUN
ajst-29855	152	21	are	be	AUX
ajst-29855	152	22	all	all	ADV
ajst-29855	152	23	misclassified	misclassified	ADJ
ajst-29855	152	24	into	into	ADP
ajst-29855	152	25	the	the	DET
ajst-29855	152	26	middle	middle	ADJ
ajst-29855	152	27	stage	stage	NOUN
ajst-29855	152	28	of	of	ADP
ajst-29855	152	29	flocculation	flocculation	NOUN
ajst-29855	152	30	.	.	PUNCT
ajst-29855	153	1	through	through	ADP
ajst-29855	153	2	analysis	analysis	NOUN
ajst-29855	153	3	,	,	PUNCT
ajst-29855	153	4	it	it	PRON
ajst-29855	153	5	is	be	AUX
ajst-29855	153	6	found	find	VERB
ajst-29855	153	7	that	that	SCONJ
ajst-29855	153	8	the	the	DET
ajst-29855	153	9	images	image	NOUN
ajst-29855	153	10	in	in	ADP
ajst-29855	153	11	the	the	DET
ajst-29855	153	12	early	early	ADJ
ajst-29855	153	13	stage	stage	NOUN
ajst-29855	153	14	of	of	ADP
ajst-29855	153	15	flocculation	flocculation	NOUN
ajst-29855	153	16	and	and	CCONJ
ajst-29855	153	17	the	the	DET
ajst-29855	153	18	middle	middle	ADJ
ajst-29855	153	19	stage	stage	NOUN
ajst-29855	153	20	of	of	ADP
ajst-29855	153	21	flocculation	flocculation	NOUN
ajst-29855	153	22	are	be	AUX
ajst-29855	153	23	generally	generally	ADV
ajst-29855	153	24	similar	similar	ADJ
ajst-29855	153	25	,	,	PUNCT
ajst-29855	153	26	that	that	ADV
ajst-29855	153	27	is	is	ADV
ajst-29855	153	28	,	,	PUNCT
ajst-29855	153	29	there	there	PRON
ajst-29855	153	30	is	be	VERB
ajst-29855	153	31	little	little	ADJ
ajst-29855	153	32	difference	difference	NOUN
ajst-29855	153	33	between	between	ADP
ajst-29855	153	34	classes	class	NOUN
ajst-29855	153	35	.	.	PUNCT
ajst-29855	154	1	on	on	ADP
ajst-29855	154	2	the	the	DET
ajst-29855	154	3	other	other	ADJ
ajst-29855	154	4	hand	hand	NOUN
ajst-29855	154	5	,	,	PUNCT
ajst-29855	154	6	the	the	DET
ajst-29855	154	7	recognition	recognition	NOUN
ajst-29855	154	8	accuracy	accuracy	NOUN
ajst-29855	154	9	of	of	ADP
ajst-29855	154	10	the	the	DET
ajst-29855	154	11	late	late	ADJ
ajst-29855	154	12	flocculation	flocculation	NOUN
ajst-29855	154	13	was	be	AUX
ajst-29855	154	14	the	the	DET
ajst-29855	154	15	highest	high	ADJ
ajst-29855	154	16	,	,	PUNCT
ajst-29855	154	17	and	and	CCONJ
ajst-29855	154	18	only	only	ADV
ajst-29855	154	19	a	a	DET
ajst-29855	154	20	very	very	ADV
ajst-29855	154	21	small	small	ADJ
ajst-29855	154	22	part	part	NOUN
ajst-29855	154	23	of	of	ADP
ajst-29855	154	24	the	the	DET
ajst-29855	154	25	images	image	NOUN
ajst-29855	154	26	were	be	AUX
ajst-29855	154	27	misclassified	misclassifie	VERB
ajst-29855	154	28	as	as	ADP
ajst-29855	154	29	the	the	DET
ajst-29855	154	30	middle	middle	ADJ
ajst-29855	154	31	flocculation	flocculation	NOUN
ajst-29855	154	32	.	.	PUNCT
ajst-29855	155	1	on	on	ADP
ajst-29855	155	2	the	the	DET
ajst-29855	155	3	whole	whole	NOUN
ajst-29855	155	4	,	,	PUNCT
ajst-29855	155	5	the	the	DET
ajst-29855	155	6	recognition	recognition	NOUN
ajst-29855	155	7	effect	effect	NOUN
ajst-29855	155	8	of	of	ADP
ajst-29855	155	9	the	the	DET
ajst-29855	155	10	h	h	NOUN
ajst-29855	155	11	-	-	PUNCT
ajst-29855	155	12	resnet50	resnet50	NOUN
ajst-29855	155	13	network	network	NOUN
ajst-29855	155	14	is	be	AUX
ajst-29855	155	15	excellent	excellent	ADJ
ajst-29855	155	16	,	,	PUNCT
ajst-29855	155	17	and	and	CCONJ
ajst-29855	155	18	it	it	PRON
ajst-29855	155	19	can	can	AUX
ajst-29855	155	20	be	be	AUX
ajst-29855	155	21	applied	apply	VERB
ajst-29855	155	22	to	to	ADP
ajst-29855	155	23	the	the	DET
ajst-29855	155	24	identification	identification	NOUN
ajst-29855	155	25	of	of	ADP
ajst-29855	155	26	the	the	DET
ajst-29855	155	27	current	current	ADJ
ajst-29855	155	28	flocculation	flocculation	NOUN
ajst-29855	155	29	state	state	NOUN
ajst-29855	155	30	of	of	ADP
ajst-29855	155	31	drilling	drill	VERB
ajst-29855	155	32	fluid	fluid	ADJ
ajst-29855	155	33	waste	waste	NOUN
ajst-29855	155	34	.	.	PUNCT
ajst-29855	156	1	5	5	X
ajst-29855	156	2	.	.	X
ajst-29855	156	3	conclusion	conclusion	NOUN
ajst-29855	156	4	in	in	ADP
ajst-29855	156	5	this	this	DET
ajst-29855	156	6	paper	paper	NOUN
ajst-29855	156	7	,	,	PUNCT
ajst-29855	156	8	a	a	DET
ajst-29855	156	9	drilling	drilling	NOUN
ajst-29855	156	10	fluid	fluid	ADJ
ajst-29855	156	11	waste	waste	NOUN
ajst-29855	156	12	flocculent	flocculent	NOUN
ajst-29855	156	13	state	state	NOUN
ajst-29855	156	14	recognition	recognition	NOUN
ajst-29855	156	15	network	network	NOUN
ajst-29855	156	16	h	h	NOUN
ajst-29855	156	17	-	-	PUNCT
ajst-29855	156	18	resnet50	resnet50	NOUN
ajst-29855	156	19	is	be	AUX
ajst-29855	156	20	proposed	propose	VERB
ajst-29855	156	21	by	by	ADP
ajst-29855	156	22	improving	improve	VERB
ajst-29855	156	23	the	the	DET
ajst-29855	156	24	original	original	ADJ
ajst-29855	156	25	resnet50	resnet50	NOUN
ajst-29855	156	26	network	network	NOUN
ajst-29855	156	27	model	model	NOUN
ajst-29855	156	28	,	,	PUNCT
ajst-29855	156	29	which	which	PRON
ajst-29855	156	30	uses	use	VERB
ajst-29855	156	31	the	the	DET
ajst-29855	156	32	gam	gam	NOUN
ajst-29855	156	33	global	global	ADJ
ajst-29855	156	34	attention	attention	NOUN
ajst-29855	156	35	mechanism	mechanism	NOUN
ajst-29855	156	36	to	to	PART
ajst-29855	156	37	enhance	enhance	VERB
ajst-29855	156	38	the	the	DET
ajst-29855	156	39	feature	feature	NOUN
ajst-29855	156	40	extraction	extraction	NOUN
ajst-29855	156	41	ability	ability	NOUN
ajst-29855	156	42	of	of	ADP
ajst-29855	156	43	drilling	drill	VERB
ajst-29855	156	44	fluid	fluid	ADJ
ajst-29855	156	45	waste	waste	NOUN
ajst-29855	156	46	flocculent	flocculent	NOUN
ajst-29855	156	47	images	image	NOUN
ajst-29855	156	48	,	,	PUNCT
ajst-29855	156	49	while	while	SCONJ
ajst-29855	156	50	the	the	DET
ajst-29855	156	51	addition	addition	NOUN
ajst-29855	156	52	of	of	ADP
ajst-29855	156	53	odconv	odconv	ADJ
ajst-29855	156	54	full	full	ADJ
ajst-29855	156	55	-	-	PUNCT
ajst-29855	156	56	dimensional	dimensional	ADJ
ajst-29855	156	57	dynamic	dynamic	ADJ
ajst-29855	156	58	convolution	convolution	NOUN
ajst-29855	156	59	makes	make	VERB
ajst-29855	156	60	the	the	DET
ajst-29855	156	61	network	network	NOUN
ajst-29855	156	62	more	more	ADV
ajst-29855	156	63	adaptive	adaptive	ADJ
ajst-29855	156	64	and	and	CCONJ
ajst-29855	156	65	generalizable	generalizable	ADJ
ajst-29855	156	66	.	.	PUNCT
ajst-29855	157	1	a	a	DET
ajst-29855	157	2	series	series	NOUN
ajst-29855	157	3	of	of	ADP
ajst-29855	157	4	experiments	experiment	NOUN
ajst-29855	157	5	show	show	VERB
ajst-29855	157	6	that	that	SCONJ
ajst-29855	157	7	the	the	DET
ajst-29855	157	8	improved	improved	ADJ
ajst-29855	157	9	network	network	NOUN
ajst-29855	157	10	has	have	VERB
ajst-29855	157	11	the	the	DET
ajst-29855	157	12	highest	high	ADJ
ajst-29855	157	13	classification	classification	NOUN
ajst-29855	157	14	accuracy	accuracy	NOUN
ajst-29855	157	15	of	of	ADP
ajst-29855	157	16	99.16	99.16	NUM
ajst-29855	157	17	%	%	NOUN
ajst-29855	157	18	,	,	PUNCT
ajst-29855	157	19	which	which	PRON
ajst-29855	157	20	is	be	AUX
ajst-29855	157	21	significantly	significantly	ADV
ajst-29855	157	22	higher	high	ADJ
ajst-29855	157	23	than	than	ADP
ajst-29855	157	24	the	the	DET
ajst-29855	157	25	original	original	ADJ
ajst-29855	157	26	resnet50	resnet50	NOUN
ajst-29855	157	27	network	network	NOUN
ajst-29855	157	28	model	model	NOUN
ajst-29855	157	29	and	and	CCONJ
ajst-29855	157	30	other	other	ADJ
ajst-29855	157	31	common	common	ADJ
ajst-29855	157	32	neural	neural	ADJ
ajst-29855	157	33	network	network	NOUN
ajst-29855	157	34	models	model	NOUN
ajst-29855	157	35	.	.	PUNCT
ajst-29855	158	1	it	it	PRON
ajst-29855	158	2	proves	prove	VERB
ajst-29855	158	3	the	the	DET
ajst-29855	158	4	feasibility	feasibility	NOUN
ajst-29855	158	5	of	of	ADP
ajst-29855	158	6	using	use	VERB
ajst-29855	158	7	this	this	DET
ajst-29855	158	8	network	network	NOUN
ajst-29855	158	9	in	in	ADP
ajst-29855	158	10	drilling	drill	VERB
ajst-29855	158	11	fluid	fluid	NOUN
ajst-29855	158	12	flocculation	flocculation	NOUN
ajst-29855	158	13	state	state	NOUN
ajst-29855	158	14	identification	identification	NOUN
ajst-29855	158	15	,	,	PUNCT
ajst-29855	158	16	which	which	PRON
ajst-29855	158	17	makes	make	VERB
ajst-29855	158	18	up	up	ADP
ajst-29855	158	19	for	for	ADP
ajst-29855	158	20	the	the	DET
ajst-29855	158	21	shortcomings	shortcoming	NOUN
ajst-29855	158	22	of	of	ADP
ajst-29855	158	23	the	the	DET
ajst-29855	158	24	current	current	ADJ
ajst-29855	158	25	traditional	traditional	ADJ
ajst-29855	158	26	identification	identification	NOUN
ajst-29855	158	27	methods	method	NOUN
ajst-29855	158	28	such	such	ADJ
ajst-29855	158	29	as	as	ADP
ajst-29855	158	30	manual	manual	ADJ
ajst-29855	158	31	discrimination	discrimination	NOUN
ajst-29855	158	32	,	,	PUNCT
ajst-29855	158	33	and	and	CCONJ
ajst-29855	158	34	provides	provide	VERB
ajst-29855	158	35	more	more	ADJ
ajst-29855	158	36	55	55	NUM
ajst-29855	158	37	possibilities	possibility	NOUN
ajst-29855	158	38	for	for	ADP
ajst-29855	158	39	the	the	DET
ajst-29855	158	40	intelligent	intelligent	ADJ
ajst-29855	158	41	identification	identification	NOUN
ajst-29855	158	42	of	of	ADP
ajst-29855	158	43	drilling	drill	VERB
ajst-29855	158	44	fluid	fluid	ADJ
ajst-29855	158	45	flocculation	flocculation	NOUN
ajst-29855	158	46	.	.	PUNCT
ajst-29855	159	1	references	reference	NOUN
ajst-29855	159	2	[	[	X
ajst-29855	159	3	1	1	NUM
ajst-29855	159	4	]	]	X
ajst-29855	159	5	davoodi	davoodi	PROPN
ajst-29855	159	6	,	,	PUNCT
ajst-29855	159	7	s.	s.	PROPN
ajst-29855	159	8	;	;	PUNCT
ajst-29855	159	9	al	al	PROPN
ajst-29855	159	10	-	-	PUNCT
ajst-29855	159	11	shargabi	shargabi	NOUN
ajst-29855	159	12	,	,	PUNCT
ajst-29855	159	13	m.	m.	NOUN
ajst-29855	159	14	;	;	PUNCT
ajst-29855	159	15	wood	wood	NOUN
ajst-29855	159	16	,	,	PUNCT
ajst-29855	159	17	d.	d.	PROPN
ajst-29855	159	18	a.	a.	PROPN
ajst-29855	159	19	;	;	PUNCT
ajst-29855	159	20	rukavishnikov	rukavishnikov	PROPN
ajst-29855	159	21	,	,	PUNCT
ajst-29855	159	22	v.	v.	PROPN
ajst-29855	159	23	s.	s.	PROPN
ajst-29855	159	24	;	;	PUNCT
ajst-29855	159	25	minaev	minaev	PROPN
ajst-29855	159	26	,	,	PUNCT
ajst-29855	159	27	k.	k.	PROPN
ajst-29855	159	28	m.	m.	PROPN
ajst-29855	159	29	synthetic	synthetic	ADJ
ajst-29855	159	30	polymers	polymer	NOUN
ajst-29855	159	31	:	:	PUNCT
ajst-29855	159	32	a	a	DET
ajst-29855	159	33	review	review	NOUN
ajst-29855	159	34	of	of	ADP
ajst-29855	159	35	applications	application	NOUN
ajst-29855	159	36	in	in	ADP
ajst-29855	159	37	drilling	drilling	NOUN
ajst-29855	159	38	fluids	fluid	NOUN
ajst-29855	159	39	.	.	PUNCT
ajst-29855	160	1	pet	pet	PROPN
ajst-29855	160	2	.	.	PUNCT
ajst-29855	161	1	sci	sci	PROPN
ajst-29855	161	2	.	.	PROPN
ajst-29855	161	3	2024	2024	NUM
ajst-29855	161	4	,	,	PUNCT
ajst-29855	161	5	21	21	NUM
ajst-29855	161	6	(	(	PUNCT
ajst-29855	161	7	1	1	NUM
ajst-29855	161	8	)	)	PUNCT
ajst-29855	161	9	,	,	PUNCT
ajst-29855	161	10	475	475	NUM
ajst-29855	161	11	-	-	SYM
ajst-29855	161	12	518	518	NUM
ajst-29855	161	13	,	,	PUNCT
ajst-29855	161	14	review	review	NOUN
ajst-29855	161	15	.	.	PUNCT
ajst-29855	162	1	[	[	X
ajst-29855	162	2	2	2	NUM
ajst-29855	162	3	]	]	PUNCT
ajst-29855	162	4	vryzas	vryzas	NOUN
ajst-29855	162	5	,	,	PUNCT
ajst-29855	162	6	z.	z.	PROPN
ajst-29855	162	7	;	;	PUNCT
ajst-29855	162	8	kelessidis	kelessidis	PROPN
ajst-29855	162	9	,	,	PUNCT
ajst-29855	162	10	v.	v.	PROPN
ajst-29855	162	11	c.	c.	PROPN
ajst-29855	162	12	nano	nano	NOUN
ajst-29855	162	13	-	-	PUNCT
ajst-29855	162	14	based	base	VERB
ajst-29855	162	15	drilling	drilling	NOUN
ajst-29855	162	16	fluids	fluid	NOUN
ajst-29855	162	17	:	:	PUNCT
ajst-29855	162	18	a	a	DET
ajst-29855	162	19	review	review	NOUN
ajst-29855	162	20	.	.	PUNCT
ajst-29855	163	1	energies	energy	NOUN
ajst-29855	163	2	2017	2017	NUM
ajst-29855	163	3	,	,	PUNCT
ajst-29855	163	4	10	10	NUM
ajst-29855	163	5	(	(	PUNCT
ajst-29855	163	6	4	4	NUM
ajst-29855	163	7	)	)	PUNCT
ajst-29855	163	8	,	,	PUNCT
ajst-29855	163	9	34	34	NUM
ajst-29855	163	10	,	,	PUNCT
ajst-29855	163	11	review	review	NOUN
ajst-29855	163	12	.	.	PUNCT
ajst-29855	164	1	[	[	X
ajst-29855	164	2	3	3	NUM
ajst-29855	164	3	]	]	X
ajst-29855	164	4	sayindla	sayindla	NOUN
ajst-29855	164	5	,	,	PUNCT
ajst-29855	164	6	s.	s.	PROPN
ajst-29855	164	7	;	;	PUNCT
ajst-29855	164	8	lund	lund	PROPN
ajst-29855	164	9	,	,	PUNCT
ajst-29855	164	10	b.	b.	PROPN
ajst-29855	164	11	;	;	PUNCT
ajst-29855	164	12	ytrehus	ytrehus	PROPN
ajst-29855	164	13	,	,	PUNCT
ajst-29855	164	14	j.	j.	PROPN
ajst-29855	164	15	d.	d.	PROPN
ajst-29855	164	16	;	;	PUNCT
ajst-29855	164	17	saasen	saasen	PROPN
ajst-29855	164	18	,	,	PUNCT
ajst-29855	164	19	a.	a.	NOUN
ajst-29855	164	20	holecleaning	holecleane	VERB
ajst-29855	164	21	performance	performance	NOUN
ajst-29855	164	22	comparison	comparison	NOUN
ajst-29855	164	23	of	of	ADP
ajst-29855	164	24	oil	oil	NOUN
ajst-29855	164	25	-	-	PUNCT
ajst-29855	164	26	based	base	VERB
ajst-29855	164	27	and	and	CCONJ
ajst-29855	164	28	water	water	NOUN
ajst-29855	164	29	-	-	PUNCT
ajst-29855	164	30	based	base	VERB
ajst-29855	164	31	drilling	drilling	NOUN
ajst-29855	164	32	fluids	fluid	NOUN
ajst-29855	164	33	.	.	PUNCT
ajst-29855	165	1	j.	j.	PROPN
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ajst-29855	166	2	.	.	PUNCT
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ajst-29855	167	2	.	.	PROPN
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ajst-29855	167	4	,	,	PUNCT
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ajst-29855	167	7	49	49	NUM
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ajst-29855	167	9	57	57	NUM
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ajst-29855	167	12	.	.	PUNCT
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ajst-29855	169	5	,	,	PUNCT
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ajst-29855	169	13	.	.	PUNCT
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ajst-29855	170	29	in	in	ADP
ajst-29855	170	30	drilling	drilling	NOUN
ajst-29855	170	31	fluids	fluid	NOUN
ajst-29855	170	32	:	:	PUNCT
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ajst-29855	170	34	research	research	NOUN
ajst-29855	170	35	,	,	PUNCT
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ajst-29855	170	40	.	.	PUNCT
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ajst-29855	171	2	pet	pet	PROPN
ajst-29855	171	3	.	.	PUNCT
ajst-29855	172	1	sci	sci	PROPN
ajst-29855	172	2	.	.	PUNCT
ajst-29855	173	1	eng	eng	PROPN
ajst-29855	173	2	.	.	PROPN
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ajst-29855	173	4	,	,	PUNCT
ajst-29855	173	5	135	135	NUM
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ajst-29855	174	14	;	;	PUNCT
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ajst-29855	174	32	to	to	ADP
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ajst-29855	174	34	fluid	fluid	ADJ
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ajst-29855	174	43	.	.	PUNCT
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ajst-29855	175	3	,	,	PUNCT
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ajst-29855	175	9	.	.	PUNCT
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ajst-29855	176	36	-	-	PUNCT
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ajst-29855	176	40	:	:	PUNCT
ajst-29855	176	41	a	a	DET
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ajst-29855	176	43	.	.	PUNCT
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ajst-29855	177	12	-	-	SYM
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ajst-29855	177	14	,	,	PUNCT
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ajst-29855	177	16	.	.	PUNCT
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ajst-29855	178	5	,	,	PUNCT
ajst-29855	178	6	s.	s.	PROPN
ajst-29855	178	7	x.	x.	PROPN
ajst-29855	178	8	;	;	PUNCT
ajst-29855	178	9	jiang	jiang	PROPN
ajst-29855	178	10	,	,	PUNCT
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ajst-29855	178	40	fluids	fluid	NOUN
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ajst-29855	178	44	areas	area	NOUN
ajst-29855	178	45	.	.	PUNCT
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ajst-29855	181	8	,	,	PUNCT
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ajst-29855	182	14	drilling	drilling	NOUN
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ajst-29855	182	17	.	.	PUNCT
ajst-29855	183	1	fresenius	fresenius	PROPN
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ajst-29855	183	3	.	.	PUNCT
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ajst-29855	183	5	.	.	PUNCT
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ajst-29855	184	2	,	,	PUNCT
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ajst-29855	185	1	[	[	X
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ajst-29855	185	8	chekli	chekli	PROPN
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ajst-29855	185	10	l.	l.	PROPN
ajst-29855	185	11	;	;	PUNCT
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ajst-29855	185	13	,	,	PUNCT
ajst-29855	185	14	s.	s.	PROPN
ajst-29855	185	15	;	;	PUNCT
ajst-29855	185	16	tijing	tijing	NOUN
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ajst-29855	185	18	l.	l.	PROPN
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ajst-29855	185	21	jeong	jeong	PROPN
ajst-29855	185	22	,	,	PUNCT
ajst-29855	185	23	s.	s.	PROPN
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ajst-29855	185	25	zhao	zhao	X
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ajst-29855	185	27	y.	y.	PROPN
ajst-29855	185	28	x.	x.	PROPN
ajst-29855	185	29	;	;	PUNCT
ajst-29855	185	30	gao	gao	PROPN
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ajst-29855	185	32	b.	b.	PROPN
ajst-29855	185	33	y.	y.	PROPN
ajst-29855	185	34	;	;	PUNCT
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ajst-29855	185	39	;	;	PUNCT
ajst-29855	185	40	shon	shon	PROPN
ajst-29855	185	41	,	,	PUNCT
ajst-29855	185	42	h.	h.	PROPN
ajst-29855	185	43	k.	k.	PROPN
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ajst-29855	185	61	mining	mining	NOUN
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ajst-29855	187	2	.	.	PUNCT
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ajst-29855	188	10	,	,	PUNCT
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ajst-29855	188	12	.	.	PUNCT
ajst-29855	189	1	[	[	X
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ajst-29855	189	7	;	;	PUNCT
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ajst-29855	189	12	;	;	PUNCT
ajst-29855	189	13	firth	firth	PROPN
ajst-29855	189	14	,	,	PUNCT
ajst-29855	189	15	b.	b.	PROPN
ajst-29855	189	16	;	;	PUNCT
ajst-29855	189	17	mcnally	mcnally	PROPN
ajst-29855	189	18	,	,	PUNCT
ajst-29855	189	19	c.	c.	PROPN
ajst-29855	189	20	;	;	PUNCT
ajst-29855	189	21	ozdemir	ozdemir	PROPN
ajst-29855	189	22	,	,	PUNCT
ajst-29855	189	23	o.	o.	ADJ
ajst-29855	189	24	shear	shear	NOUN
ajst-29855	189	25	-	-	PUNCT
ajst-29855	189	26	induced	induce	VERB
ajst-29855	189	27	floc	floc	NOUN
ajst-29855	189	28	structure	structure	NOUN
ajst-29855	189	29	changes	change	NOUN
ajst-29855	189	30	for	for	ADP
ajst-29855	189	31	enhanced	enhanced	ADJ
ajst-29855	189	32	dewatering	dewatering	NOUN
ajst-29855	189	33	of	of	ADP
ajst-29855	189	34	coal	coal	NOUN
ajst-29855	189	35	preparation	preparation	NOUN
ajst-29855	189	36	plant	plant	NOUN
ajst-29855	189	37	tailings	tailing	NOUN
ajst-29855	189	38	.	.	PUNCT
ajst-29855	190	1	chem	chem	PROPN
ajst-29855	190	2	.	.	PUNCT
ajst-29855	191	1	eng	eng	PROPN
ajst-29855	191	2	.	.	PUNCT
ajst-29855	192	1	j.	j.	PROPN
ajst-29855	192	2	2011	2011	PROPN
ajst-29855	192	3	,	,	PUNCT
ajst-29855	192	4	172	172	NUM
ajst-29855	192	5	(	(	PUNCT
ajst-29855	192	6	23	23	NUM
ajst-29855	192	7	)	)	PUNCT
ajst-29855	192	8	,	,	PUNCT
ajst-29855	192	9	914	914	NUM
ajst-29855	192	10	-	-	SYM
ajst-29855	192	11	923	923	NUM
ajst-29855	192	12	,	,	PUNCT
ajst-29855	192	13	article	article	NOUN
ajst-29855	192	14	.	.	PUNCT
ajst-29855	193	1	[	[	X
ajst-29855	193	2	12	12	NUM
ajst-29855	193	3	]	]	X
ajst-29855	193	4	selomulya	selomulya	NOUN
ajst-29855	193	5	,	,	PUNCT
ajst-29855	193	6	c.	c.	PROPN
ajst-29855	193	7	;	;	PUNCT
ajst-29855	193	8	liao	liao	PROPN
ajst-29855	193	9	,	,	PUNCT
ajst-29855	193	10	j.	j.	PROPN
ajst-29855	193	11	y.	y.	PROPN
ajst-29855	193	12	h.	h.	PROPN
ajst-29855	193	13	;	;	PUNCT
ajst-29855	193	14	bickert	bickert	PROPN
ajst-29855	193	15	,	,	PUNCT
ajst-29855	193	16	g.	g.	PROPN
ajst-29855	193	17	;	;	PUNCT
ajst-29855	193	18	amal	amal	PROPN
ajst-29855	193	19	,	,	PUNCT
ajst-29855	193	20	r.	r.	PROPN
ajst-29855	193	21	microproperties	micropropertie	NOUN
ajst-29855	193	22	of	of	ADP
ajst-29855	193	23	coal	coal	NOUN
ajst-29855	193	24	aggregates	aggregate	NOUN
ajst-29855	193	25	:	:	PUNCT
ajst-29855	193	26	implications	implication	NOUN
ajst-29855	193	27	on	on	ADP
ajst-29855	193	28	hyperbaric	hyperbaric	ADJ
ajst-29855	193	29	filtration	filtration	NOUN
ajst-29855	193	30	performance	performance	NOUN
ajst-29855	193	31	for	for	ADP
ajst-29855	193	32	coal	coal	NOUN
ajst-29855	193	33	dewatering	dewatering	NOUN
ajst-29855	193	34	.	.	PUNCT
ajst-29855	194	1	international	international	ADJ
ajst-29855	194	2	journal	journal	NOUN
ajst-29855	194	3	of	of	ADP
ajst-29855	194	4	mineral	mineral	NOUN
ajst-29855	194	5	processing	processing	NOUN
ajst-29855	194	6	2006	2006	NUM
ajst-29855	194	7	,	,	PUNCT
ajst-29855	194	8	80	80	NUM
ajst-29855	194	9	(	(	PUNCT
ajst-29855	194	10	2	2	NUM
ajst-29855	194	11	)	)	PUNCT
ajst-29855	194	12	,	,	PUNCT
ajst-29855	194	13	189	189	NUM
ajst-29855	194	14	-	-	SYM
ajst-29855	194	15	197	197	NUM
ajst-29855	194	16	.	.	PUNCT
ajst-29855	195	1	[	[	X
ajst-29855	195	2	13	13	NUM
ajst-29855	195	3	]	]	PUNCT
ajst-29855	195	4	shen	shen	NOUN
ajst-29855	195	5	,	,	PUNCT
ajst-29855	195	6	x.	x.	PROPN
ajst-29855	195	7	t.	t.	PROPN
ajst-29855	195	8	;	;	PUNCT
ajst-29855	195	9	maa	maa	PROPN
ajst-29855	195	10	,	,	PUNCT
ajst-29855	195	11	j.	j.	PROPN
ajst-29855	196	1	p.	p.	PROPN
ajst-29855	196	2	y.	y.	PROPN
ajst-29855	197	1	a	a	DET
ajst-29855	197	2	camera	camera	NOUN
ajst-29855	197	3	and	and	CCONJ
ajst-29855	197	4	image	image	NOUN
ajst-29855	197	5	processing	processing	NOUN
ajst-29855	197	6	system	system	NOUN
ajst-29855	197	7	for	for	ADP
ajst-29855	197	8	floc	floc	NOUN
ajst-29855	197	9	size	size	NOUN
ajst-29855	197	10	distributions	distribution	NOUN
ajst-29855	197	11	of	of	ADP
ajst-29855	197	12	suspended	suspend	VERB
ajst-29855	197	13	particles	particle	NOUN
ajst-29855	197	14	.	.	PUNCT
ajst-29855	198	1	mar	mar	PROPN
ajst-29855	198	2	.	.	PROPN
ajst-29855	198	3	geol	geol	PROPN
ajst-29855	198	4	.	.	PUNCT
ajst-29855	199	1	2016	2016	NUM
ajst-29855	199	2	,	,	PUNCT
ajst-29855	199	3	376	376	NUM
ajst-29855	199	4	,	,	PUNCT
ajst-29855	199	5	132	132	NUM
ajst-29855	199	6	-	-	SYM
ajst-29855	199	7	146	146	NUM
ajst-29855	199	8	,	,	PUNCT
ajst-29855	199	9	article	article	NOUN
ajst-29855	199	10	.	.	PUNCT
ajst-29855	200	1	doi	doi	PROPN
ajst-29855	200	2	:	:	PUNCT
ajst-29855	200	3	10.1016	10.1016	NUM
ajst-29855	200	4	/	/	SYM
ajst-29855	200	5	j.margeo.2016.03.009	j.margeo.2016.03.009	X
ajst-29855	200	6	.	.	PUNCT
ajst-29855	201	1	[	[	X
ajst-29855	201	2	14	14	NUM
ajst-29855	201	3	]	]	PUNCT
ajst-29855	201	4	avnimelech	avnimelech	NOUN
ajst-29855	201	5	,	,	PUNCT
ajst-29855	201	6	y.	y.	PROPN
ajst-29855	201	7	;	;	PUNCT
ajst-29855	201	8	ritvo	ritvo	PROPN
ajst-29855	201	9	,	,	PUNCT
ajst-29855	201	10	g.	g.	PROPN
ajst-29855	201	11	;	;	PUNCT
ajst-29855	201	12	meijer	meijer	PROPN
ajst-29855	201	13	,	,	PUNCT
ajst-29855	201	14	l.	l.	PROPN
ajst-29855	201	15	e.	e.	PROPN
ajst-29855	201	16	;	;	PUNCT
ajst-29855	201	17	kochba	kochba	PROPN
ajst-29855	201	18	,	,	PUNCT
ajst-29855	201	19	m.	m.	NOUN
ajst-29855	201	20	water	water	NOUN
ajst-29855	201	21	content	content	NOUN
ajst-29855	201	22	,	,	PUNCT
ajst-29855	201	23	organic	organic	ADJ
ajst-29855	201	24	carbon	carbon	NOUN
ajst-29855	201	25	and	and	CCONJ
ajst-29855	201	26	dry	dry	ADJ
ajst-29855	201	27	bulk	bulk	ADJ
ajst-29855	201	28	density	density	NOUN
ajst-29855	201	29	in	in	ADP
ajst-29855	201	30	flooded	flood	VERB
ajst-29855	201	31	sediments	sediment	NOUN
ajst-29855	201	32	.	.	PUNCT
ajst-29855	202	1	aquacultural	aquacultural	ADJ
ajst-29855	202	2	engineering	engineering	NOUN
ajst-29855	202	3	2001	2001	NUM
ajst-29855	202	4	,	,	PUNCT
ajst-29855	202	5	25	25	NUM
ajst-29855	202	6	(	(	PUNCT
ajst-29855	202	7	1	1	NUM
ajst-29855	202	8	)	)	PUNCT
ajst-29855	202	9	,	,	PUNCT
ajst-29855	202	10	25	25	NUM
ajst-29855	202	11	-	-	SYM
ajst-29855	202	12	33	33	NUM
ajst-29855	202	13	.	.	PUNCT
ajst-29855	203	1	[	[	X
ajst-29855	203	2	15	15	NUM
ajst-29855	203	3	]	]	PUNCT
ajst-29855	203	4	bale	bale	NOUN
ajst-29855	203	5	,	,	PUNCT
ajst-29855	203	6	a.	a.	NOUN
ajst-29855	203	7	j.	j.	PROPN
ajst-29855	203	8	;	;	PUNCT
ajst-29855	203	9	morris	morris	PROPN
ajst-29855	203	10	,	,	PUNCT
ajst-29855	203	11	a.	a.	PROPN
ajst-29855	203	12	w.	w.	PROPN
ajst-29855	203	13	in	in	ADP
ajst-29855	203	14	situ	situ	PROPN
ajst-29855	203	15	measurement	measurement	NOUN
ajst-29855	203	16	of	of	ADP
ajst-29855	203	17	particle	particle	NOUN
ajst-29855	203	18	size	size	NOUN
ajst-29855	203	19	in	in	ADP
ajst-29855	203	20	estuarine	estuarine	NOUN
ajst-29855	203	21	waters	water	NOUN
ajst-29855	203	22	.	.	PUNCT
ajst-29855	204	1	estuarine	estuarine	NOUN
ajst-29855	204	2	,	,	PUNCT
ajst-29855	204	3	coastal	coastal	ADJ
ajst-29855	204	4	and	and	CCONJ
ajst-29855	204	5	shelf	shelf	NOUN
ajst-29855	204	6	science	science	NOUN
ajst-29855	204	7	1987	1987	NUM
ajst-29855	204	8	,	,	PUNCT
ajst-29855	204	9	24	24	NUM
ajst-29855	204	10	(	(	PUNCT
ajst-29855	204	11	2	2	NUM
ajst-29855	204	12	)	)	PUNCT
ajst-29855	204	13	,	,	PUNCT
ajst-29855	204	14	253	253	NUM
ajst-29855	204	15	-	-	SYM
ajst-29855	204	16	263	263	NUM
ajst-29855	204	17	.	.	PUNCT
ajst-29855	205	1	doi	doi	NOUN
ajst-29855	205	2	:	:	PUNCT
ajst-29855	205	3	https://doi.org/10.1016/02727714(87)90068-0	https://doi.org/10.1016/02727714(87)90068-0	X
ajst-29855	205	4	.	.	PUNCT
ajst-29855	206	1	[	[	X
ajst-29855	206	2	16	16	NUM
ajst-29855	206	3	]	]	X
ajst-29855	206	4	eshel	eshel	PROPN
ajst-29855	206	5	,	,	PUNCT
ajst-29855	206	6	g.	g.	NOUN
ajst-29855	206	7	;	;	PUNCT
ajst-29855	206	8	levy	levy	NOUN
ajst-29855	206	9	,	,	PUNCT
ajst-29855	206	10	g.	g.	PROPN
ajst-29855	206	11	j.	j.	PROPN
ajst-29855	206	12	;	;	PUNCT
ajst-29855	206	13	mingelgrin	mingelgrin	PROPN
ajst-29855	206	14	,	,	PUNCT
ajst-29855	206	15	u.	u.	NOUN
ajst-29855	206	16	;	;	PUNCT
ajst-29855	206	17	singer	singer	NOUN
ajst-29855	206	18	,	,	PUNCT
ajst-29855	206	19	m.	m.	NOUN
ajst-29855	206	20	j.	j.	PROPN
ajst-29855	206	21	critical	critical	ADJ
ajst-29855	206	22	evaluation	evaluation	NOUN
ajst-29855	206	23	of	of	ADP
ajst-29855	206	24	the	the	DET
ajst-29855	206	25	use	use	NOUN
ajst-29855	206	26	of	of	ADP
ajst-29855	206	27	laser	laser	NOUN
ajst-29855	206	28	diffraction	diffraction	NOUN
ajst-29855	206	29	for	for	ADP
ajst-29855	206	30	particle	particle	NOUN
ajst-29855	206	31	-	-	PUNCT
ajst-29855	206	32	size	size	NOUN
ajst-29855	206	33	distribution	distribution	NOUN
ajst-29855	206	34	analysis	analysis	NOUN
ajst-29855	206	35	.	.	PUNCT
ajst-29855	207	1	soil	soil	NOUN
ajst-29855	207	2	science	science	PROPN
ajst-29855	207	3	society	society	PROPN
ajst-29855	207	4	of	of	ADP
ajst-29855	207	5	america	america	PROPN
ajst-29855	207	6	journal	journal	PROPN
ajst-29855	207	7	2004	2004	NUM
ajst-29855	207	8	,	,	PUNCT
ajst-29855	207	9	68	68	NUM
ajst-29855	207	10	(	(	PUNCT
ajst-29855	207	11	3	3	NUM
ajst-29855	207	12	)	)	PUNCT
ajst-29855	207	13	,	,	PUNCT
ajst-29855	207	14	736	736	NUM
ajst-29855	207	15	-	-	SYM
ajst-29855	207	16	743	743	NUM
ajst-29855	207	17	.	.	PUNCT
ajst-29855	208	1	[	[	X
ajst-29855	208	2	17	17	NUM
ajst-29855	208	3	]	]	X
ajst-29855	208	4	furukawa	furukawa	PROPN
ajst-29855	208	5	,	,	PUNCT
ajst-29855	208	6	y.	y.	PROPN
ajst-29855	208	7	;	;	PUNCT
ajst-29855	208	8	watkins	watkins	PROPN
ajst-29855	208	9	,	,	PUNCT
ajst-29855	208	10	j.	j.	PROPN
ajst-29855	208	11	l.	l.	PROPN
ajst-29855	208	12	effect	effect	PROPN
ajst-29855	208	13	of	of	ADP
ajst-29855	208	14	organic	organic	ADJ
ajst-29855	208	15	matter	matter	NOUN
ajst-29855	208	16	on	on	ADP
ajst-29855	208	17	the	the	DET
ajst-29855	208	18	flocculation	flocculation	NOUN
ajst-29855	208	19	of	of	ADP
ajst-29855	208	20	colloidal	colloidal	NOUN
ajst-29855	208	21	montmorillonite	montmorillonite	NOUN
ajst-29855	208	22	:	:	PUNCT
ajst-29855	208	23	a	a	DET
ajst-29855	208	24	modeling	modeling	NOUN
ajst-29855	208	25	approach	approach	NOUN
ajst-29855	208	26	.	.	PUNCT
ajst-29855	209	1	j.	j.	PROPN
ajst-29855	209	2	coast	coast	PROPN
ajst-29855	209	3	.	.	PUNCT
ajst-29855	210	1	res	re	NOUN
ajst-29855	210	2	.	.	PROPN
ajst-29855	210	3	2012	2012	NUM
ajst-29855	210	4	,	,	PUNCT
ajst-29855	210	5	28	28	NUM
ajst-29855	210	6	(	(	PUNCT
ajst-29855	210	7	3	3	NUM
ajst-29855	210	8	)	)	PUNCT
ajst-29855	210	9	,	,	PUNCT
ajst-29855	210	10	726	726	NUM
ajst-29855	210	11	-	-	SYM
ajst-29855	210	12	737	737	NUM
ajst-29855	210	13	,	,	PUNCT
ajst-29855	210	14	article	article	NOUN
ajst-29855	210	15	.	.	PUNCT
ajst-29855	211	1	[	[	X
ajst-29855	211	2	18	18	NUM
ajst-29855	211	3	]	]	X
ajst-29855	211	4	ren	ren	PROPN
ajst-29855	211	5	,	,	PUNCT
ajst-29855	211	6	p.	p.	PROPN
ajst-29855	211	7	f.	f.	PROPN
ajst-29855	211	8	;	;	PUNCT
ajst-29855	211	9	nan	nan	PROPN
ajst-29855	211	10	,	,	PUNCT
ajst-29855	211	11	j.	j.	PROPN
ajst-29855	211	12	;	;	PUNCT
ajst-29855	211	13	zhang	zhang	PROPN
ajst-29855	211	14	,	,	PUNCT
ajst-29855	211	15	x.	x.	PROPN
ajst-29855	211	16	r.	r.	PROPN
ajst-29855	211	17	;	;	PUNCT
ajst-29855	211	18	zheng	zheng	PROPN
ajst-29855	211	19	,	,	PUNCT
ajst-29855	211	20	k.	k.	NOUN
ajst-29855	211	21	analysis	analysis	NOUN
ajst-29855	211	22	of	of	ADP
ajst-29855	211	23	floc	floc	NOUN
ajst-29855	211	24	morphology	morphology	NOUN
ajst-29855	211	25	in	in	ADP
ajst-29855	211	26	a	a	DET
ajst-29855	211	27	continuous	continuous	ADJ
ajst-29855	211	28	-	-	PUNCT
ajst-29855	211	29	flow	flow	NOUN
ajst-29855	211	30	flocculation	flocculation	NOUN
ajst-29855	211	31	and	and	CCONJ
ajst-29855	211	32	sedimentation	sedimentation	NOUN
ajst-29855	211	33	reactor	reactor	NOUN
ajst-29855	211	34	.	.	PUNCT
ajst-29855	212	1	j.	j.	PROPN
ajst-29855	212	2	environ	environ	PROPN
ajst-29855	212	3	.	.	PUNCT
ajst-29855	213	1	sci	sci	PROPN
ajst-29855	213	2	.	.	PROPN
ajst-29855	213	3	2017	2017	NUM
ajst-29855	213	4	,	,	PUNCT
ajst-29855	213	5	52	52	NUM
ajst-29855	213	6	,	,	PUNCT
ajst-29855	213	7	268	268	NUM
ajst-29855	213	8	-	-	SYM
ajst-29855	213	9	275	275	NUM
ajst-29855	213	10	,	,	PUNCT
ajst-29855	213	11	article	article	NOUN
ajst-29855	213	12	.	.	PUNCT
ajst-29855	214	1	[	[	X
ajst-29855	214	2	19	19	NUM
ajst-29855	214	3	]	]	X
ajst-29855	214	4	benson	benson	PROPN
ajst-29855	214	5	,	,	PUNCT
ajst-29855	214	6	t.	t.	PROPN
ajst-29855	214	7	;	;	PUNCT
ajst-29855	214	8	french	french	PROPN
ajst-29855	214	9	,	,	PUNCT
ajst-29855	214	10	j.	j.	PROPN
ajst-29855	214	11	r.	r.	PROPN
ajst-29855	214	12	insipid	insipid	PROPN
ajst-29855	214	13	:	:	PUNCT
ajst-29855	214	14	a	a	DET
ajst-29855	214	15	new	new	ADJ
ajst-29855	214	16	low	low	ADJ
ajst-29855	214	17	-	-	PUNCT
ajst-29855	214	18	cost	cost	NOUN
ajst-29855	214	19	instrument	instrument	NOUN
ajst-29855	214	20	for	for	ADP
ajst-29855	214	21	in	in	ADP
ajst-29855	214	22	situ	situ	ADJ
ajst-29855	214	23	particle	particle	NOUN
ajst-29855	214	24	size	size	NOUN
ajst-29855	214	25	measurements	measurement	NOUN
ajst-29855	214	26	in	in	ADP
ajst-29855	214	27	estuarine	estuarine	NOUN
ajst-29855	214	28	and	and	CCONJ
ajst-29855	214	29	coastal	coastal	ADJ
ajst-29855	214	30	waters	water	NOUN
ajst-29855	214	31	.	.	PUNCT
ajst-29855	215	1	journal	journal	NOUN
ajst-29855	215	2	of	of	ADP
ajst-29855	215	3	sea	sea	NOUN
ajst-29855	215	4	research	research	NOUN
ajst-29855	215	5	2007	2007	NUM
ajst-29855	215	6	,	,	PUNCT
ajst-29855	215	7	58	58	NUM
ajst-29855	215	8	(	(	PUNCT
ajst-29855	215	9	3	3	NUM
ajst-29855	215	10	)	)	PUNCT
ajst-29855	215	11	,	,	PUNCT
ajst-29855	215	12	167	167	NUM
ajst-29855	215	13	-	-	SYM
ajst-29855	215	14	188	188	NUM
ajst-29855	215	15	.	.	PUNCT
ajst-29855	216	1	[	[	X
ajst-29855	216	2	20	20	NUM
ajst-29855	216	3	]	]	PUNCT
ajst-29855	216	4	chowdhury	chowdhury	PROPN
ajst-29855	216	5	,	,	PUNCT
ajst-29855	216	6	s.	s.	PROPN
ajst-29855	216	7	;	;	PUNCT
ajst-29855	216	8	karanfil	karanfil	X
ajst-29855	216	9	,	,	PUNCT
ajst-29855	216	10	t.	t.	NOUN
ajst-29855	216	11	applications	application	NOUN
ajst-29855	216	12	of	of	ADP
ajst-29855	216	13	artificial	artificial	ADJ
ajst-29855	216	14	intelligence	intelligence	NOUN
ajst-29855	216	15	(	(	PUNCT
ajst-29855	216	16	ai	ai	NOUN
ajst-29855	216	17	)	)	PUNCT
ajst-29855	216	18	in	in	ADP
ajst-29855	216	19	drinking	drink	VERB
ajst-29855	216	20	water	water	NOUN
ajst-29855	216	21	treatment	treatment	NOUN
ajst-29855	216	22	processes	process	NOUN
ajst-29855	216	23	:	:	PUNCT
ajst-29855	216	24	possibilities	possibility	NOUN
ajst-29855	216	25	.	.	PUNCT
ajst-29855	217	1	chemosphere	chemosphere	PROPN
ajst-29855	217	2	2024	2024	NUM
ajst-29855	217	3	,	,	PUNCT
ajst-29855	217	4	356	356	NUM
ajst-29855	217	5	,	,	PUNCT
ajst-29855	217	6	141958	141958	NUM
ajst-29855	217	7	,	,	PUNCT
ajst-29855	217	8	review	review	NOUN
ajst-29855	217	9	.	.	PUNCT
ajst-29855	218	1	[	[	X
ajst-29855	218	2	21	21	NUM
ajst-29855	218	3	]	]	X
ajst-29855	218	4	zhu	zhu	PROPN
ajst-29855	218	5	,	,	PUNCT
ajst-29855	218	6	g.	g.	PROPN
ajst-29855	218	7	c.	c.	PROPN
ajst-29855	218	8	;	;	PUNCT
ajst-29855	218	9	lin	lin	PROPN
ajst-29855	218	10	,	,	PUNCT
ajst-29855	218	11	j.	j.	PROPN
ajst-29855	218	12	l.	l.	PROPN
ajst-29855	218	13	;	;	PUNCT
ajst-29855	218	14	fang	fang	PROPN
ajst-29855	218	15	,	,	PUNCT
ajst-29855	218	16	h.	h.	PROPN
ajst-29855	218	17	q.	q.	PROPN
ajst-29855	218	18	;	;	PUNCT
ajst-29855	218	19	yuan	yuan	PROPN
ajst-29855	218	20	,	,	PUNCT
ajst-29855	218	21	f.	f.	PROPN
ajst-29855	218	22	;	;	PUNCT
ajst-29855	218	23	li	li	PROPN
ajst-29855	218	24	,	,	PUNCT
ajst-29855	218	25	x.	x.	PROPN
ajst-29855	218	26	s.	s.	PROPN
ajst-29855	218	27	;	;	PUNCT
ajst-29855	218	28	yuan	yuan	PROPN
ajst-29855	218	29	,	,	PUNCT
ajst-29855	218	30	c.	c.	PROPN
ajst-29855	218	31	;	;	PUNCT
ajst-29855	218	32	hursthouse	hursthouse	NOUN
ajst-29855	218	33	,	,	PUNCT
ajst-29855	218	34	a.	a.	PROPN
ajst-29855	218	35	s.	s.	PROPN
ajst-29855	218	36	a	a	DET
ajst-29855	218	37	flocculation	flocculation	NOUN
ajst-29855	218	38	tensor	tensor	NOUN
ajst-29855	218	39	to	to	PART
ajst-29855	218	40	monitor	monitor	VERB
ajst-29855	218	41	water	water	NOUN
ajst-29855	218	42	quality	quality	NOUN
ajst-29855	218	43	using	use	VERB
ajst-29855	218	44	a	a	DET
ajst-29855	218	45	deep	deep	ADJ
ajst-29855	218	46	learning	learning	NOUN
ajst-29855	218	47	model	model	NOUN
ajst-29855	218	48	.	.	PUNCT
ajst-29855	219	1	environ	environ	PROPN
ajst-29855	219	2	.	.	PUNCT
ajst-29855	219	3	chem	chem	PROPN
ajst-29855	219	4	.	.	PUNCT
ajst-29855	220	1	lett	lett	PROPN
ajst-29855	220	2	.	.	PUNCT
ajst-29855	220	3	2022	2022	NUM
ajst-29855	220	4	,	,	PUNCT
ajst-29855	220	5	20	20	NUM
ajst-29855	220	6	(	(	PUNCT
ajst-29855	220	7	6	6	NUM
ajst-29855	220	8	)	)	PUNCT
ajst-29855	220	9	,	,	PUNCT
ajst-29855	220	10	3405	3405	NUM
ajst-29855	220	11	-	-	SYM
ajst-29855	220	12	3414	3414	NUM
ajst-29855	220	13	,	,	PUNCT
ajst-29855	220	14	article	article	NOUN
ajst-29855	220	15	.	.	PUNCT
ajst-29855	221	1	[	[	X
ajst-29855	221	2	22	22	NUM
ajst-29855	221	3	]	]	X
ajst-29855	221	4	peng	peng	PROPN
ajst-29855	221	5	,	,	PUNCT
ajst-29855	221	6	s.	s.	PROPN
ajst-29855	221	7	;	;	PUNCT
ajst-29855	221	8	guo	guo	PROPN
ajst-29855	221	9	,	,	PUNCT
ajst-29855	221	10	y.	y.	PROPN
ajst-29855	221	11	;	;	PUNCT
ajst-29855	221	12	wang	wang	PROPN
ajst-29855	221	13	,	,	PUNCT
ajst-29855	221	14	j.	j.	PROPN
ajst-29855	221	15	h.	h.	PROPN
ajst-29855	221	16	;	;	PUNCT
ajst-29855	221	17	wang	wang	PROPN
ajst-29855	221	18	,	,	PUNCT
ajst-29855	221	19	y.	y.	PROPN
ajst-29855	221	20	;	;	PUNCT
ajst-29855	221	21	zhang	zhang	PROPN
ajst-29855	221	22	,	,	PUNCT
ajst-29855	221	23	w.	w.	PROPN
ajst-29855	221	24	h.	h.	PROPN
ajst-29855	221	25	;	;	PUNCT
ajst-29855	221	26	zhou	zhou	PROPN
ajst-29855	221	27	,	,	PUNCT
ajst-29855	221	28	x.	x.	PROPN
ajst-29855	221	29	;	;	PUNCT
ajst-29855	221	30	jiang	jiang	PROPN
ajst-29855	221	31	,	,	PUNCT
ajst-29855	221	32	l.	l.	PROPN
ajst-29855	221	33	f.	f.	PROPN
ajst-29855	221	34	;	;	PUNCT
ajst-29855	221	35	lai	lai	PROPN
ajst-29855	221	36	,	,	PUNCT
ajst-29855	221	37	b.	b.	PROPN
ajst-29855	222	1	the	the	DET
ajst-29855	222	2	coagulation	coagulation	NOUN
ajst-29855	222	3	-	-	PUNCT
ajst-29855	222	4	precipitation	precipitation	NOUN
ajst-29855	222	5	turbidity	turbidity	NOUN
ajst-29855	222	6	prediction	prediction	NOUN
ajst-29855	222	7	model	model	NOUN
ajst-29855	222	8	for	for	ADP
ajst-29855	222	9	precision	precision	NOUN
ajst-29855	222	10	drug	drug	NOUN
ajst-29855	222	11	delivery	delivery	NOUN
ajst-29855	222	12	system	system	NOUN
ajst-29855	222	13	based	base	VERB
ajst-29855	222	14	on	on	ADP
ajst-29855	222	15	deep	deep	ADJ
ajst-29855	222	16	learning	learning	NOUN
ajst-29855	222	17	and	and	CCONJ
ajst-29855	222	18	machine	machine	NOUN
ajst-29855	222	19	vision	vision	NOUN
ajst-29855	222	20	.	.	PUNCT
ajst-29855	223	1	j.	j.	PROPN
ajst-29855	223	2	environ	environ	PROPN
ajst-29855	223	3	.	.	PUNCT
ajst-29855	223	4	chem	chem	PROPN
ajst-29855	223	5	.	.	PUNCT
ajst-29855	224	1	eng	eng	PROPN
ajst-29855	224	2	.	.	PROPN
ajst-29855	224	3	2024	2024	NUM
ajst-29855	224	4	,	,	PUNCT
ajst-29855	224	5	12	12	NUM
ajst-29855	224	6	(	(	PUNCT
ajst-29855	224	7	2	2	NUM
ajst-29855	224	8	)	)	PUNCT
ajst-29855	224	9	,	,	PUNCT
ajst-29855	224	10	13	13	NUM
ajst-29855	224	11	,	,	PUNCT
ajst-29855	224	12	article	article	NOUN
ajst-29855	224	13	.	.	PUNCT
ajst-29855	225	1	[	[	X
ajst-29855	225	2	23	23	NUM
ajst-29855	225	3	]	]	X
ajst-29855	225	4	nielsen	nielsen	PROPN
ajst-29855	225	5	,	,	PUNCT
ajst-29855	225	6	r.	r.	PROPN
ajst-29855	225	7	f.	f.	PROPN
ajst-29855	225	8	;	;	PUNCT
ajst-29855	225	9	kermani	kermani	PROPN
ajst-29855	225	10	,	,	PUNCT
ajst-29855	225	11	n.	n.	PROPN
ajst-29855	225	12	a.	a.	PROPN
ajst-29855	225	13	;	;	PUNCT
ajst-29855	225	14	freiesleben	freiesleben	PROPN
ajst-29855	225	15	,	,	PUNCT
ajst-29855	225	16	l.	l.	PROPN
ajst-29855	225	17	l.	l.	PROPN
ajst-29855	225	18	;	;	PUNCT
ajst-29855	225	19	gernaey	gernaey	PROPN
ajst-29855	225	20	,	,	PUNCT
ajst-29855	225	21	k.	k.	PROPN
ajst-29855	226	1	v.	v.	PROPN
ajst-29855	226	2	;	;	PUNCT
ajst-29855	226	3	mansouri	mansouri	PROPN
ajst-29855	226	4	,	,	PUNCT
ajst-29855	226	5	s.	s.	PROPN
ajst-29855	226	6	s.	s.	PROPN
ajst-29855	226	7	novel	novel	ADJ
ajst-29855	226	8	strategies	strategy	NOUN
ajst-29855	226	9	for	for	ADP
ajst-29855	226	10	predictive	predictive	ADJ
ajst-29855	226	11	particle	particle	NOUN
ajst-29855	226	12	monitoring	monitoring	NOUN
ajst-29855	226	13	and	and	CCONJ
ajst-29855	226	14	control	control	NOUN
ajst-29855	226	15	using	use	VERB
ajst-29855	226	16	advanced	advanced	ADJ
ajst-29855	226	17	image	image	NOUN
ajst-29855	226	18	analysis	analysis	NOUN
ajst-29855	226	19	.	.	PUNCT
ajst-29855	227	1	in	in	ADP
ajst-29855	227	2	29th	29th	ADJ
ajst-29855	227	3	european	european	ADJ
ajst-29855	227	4	symposium	symposium	NOUN
ajst-29855	227	5	on	on	ADP
ajst-29855	227	6	computer	computer	NOUN
ajst-29855	227	7	-	-	PUNCT
ajst-29855	227	8	aided	aid	VERB
ajst-29855	227	9	process	process	NOUN
ajst-29855	227	10	engineering	engineering	NOUN
ajst-29855	227	11	(	(	PUNCT
ajst-29855	227	12	escape	escape	NOUN
ajst-29855	227	13	)	)	PUNCT
ajst-29855	227	14	,	,	PUNCT
ajst-29855	227	15	eindhoven	eindhoven	NOUN
ajst-29855	227	16	,	,	PUNCT
ajst-29855	227	17	netherlands	netherlands	PROPN
ajst-29855	227	18	,	,	PUNCT
ajst-29855	227	19	jun	jun	PROPN
ajst-29855	227	20	16	16	NUM
ajst-29855	227	21	-	-	SYM
ajst-29855	227	22	19	19	NUM
ajst-29855	227	23	,	,	PUNCT
ajst-29855	227	24	2019	2019	NUM
ajst-29855	227	25	;	;	PUNCT
ajst-29855	227	26	elsevier	elsevier	PROPN
ajst-29855	227	27	science	science	PROPN
ajst-29855	227	28	bv	bv	PROPN
ajst-29855	227	29	:	:	PUNCT
ajst-29855	227	30	amsterdam	amsterdam	PROPN
ajst-29855	227	31	,	,	PUNCT
ajst-29855	227	32	2019	2019	NUM
ajst-29855	227	33	;	;	PUNCT
ajst-29855	227	34	vol	vol	NOUN
ajst-29855	227	35	.	.	PROPN
ajst-29855	227	36	46	46	NUM
ajst-29855	227	37	,	,	PUNCT
ajst-29855	227	38	pp	pp	ADV
ajst-29855	227	39	1435	1435	NUM
ajst-29855	227	40	-	-	SYM
ajst-29855	227	41	1440	1440	NUM
ajst-29855	227	42	.	.	PUNCT
ajst-29855	228	1	[	[	X
ajst-29855	228	2	24	24	NUM
ajst-29855	228	3	]	]	PUNCT
ajst-29855	228	4	he	he	PRON
ajst-29855	228	5	,	,	PUNCT
ajst-29855	228	6	k.	k.	PROPN
ajst-29855	228	7	m.	m.	PROPN
ajst-29855	228	8	;	;	PUNCT
ajst-29855	228	9	zhang	zhang	PROPN
ajst-29855	228	10	,	,	PUNCT
ajst-29855	228	11	x.	x.	PROPN
ajst-29855	228	12	y.	y.	PROPN
ajst-29855	228	13	;	;	PUNCT
ajst-29855	228	14	ren	ren	PROPN
ajst-29855	228	15	,	,	PUNCT
ajst-29855	228	16	s.	s.	PROPN
ajst-29855	228	17	q.	q.	PROPN
ajst-29855	228	18	;	;	PUNCT
ajst-29855	228	19	sun	sun	PROPN
ajst-29855	228	20	,	,	PUNCT
ajst-29855	228	21	j.	j.	PROPN
ajst-29855	228	22	;	;	PUNCT
ajst-29855	228	23	ieee	ieee	PROPN
ajst-29855	228	24	.	.	PUNCT
ajst-29855	229	1	deep	deep	ADJ
ajst-29855	229	2	residual	residual	ADJ
ajst-29855	229	3	learning	learning	NOUN
ajst-29855	229	4	for	for	ADP
ajst-29855	229	5	image	image	NOUN
ajst-29855	229	6	recognition	recognition	NOUN
ajst-29855	229	7	.	.	PUNCT
ajst-29855	230	1	in	in	ADP
ajst-29855	230	2	2016	2016	NUM
ajst-29855	230	3	ieee	ieee	NOUN
ajst-29855	230	4	conference	conference	NOUN
ajst-29855	230	5	on	on	ADP
ajst-29855	230	6	computer	computer	NOUN
ajst-29855	230	7	vision	vision	NOUN
ajst-29855	230	8	and	and	CCONJ
ajst-29855	230	9	pattern	pattern	NOUN
ajst-29855	230	10	recognition	recognition	NOUN
ajst-29855	230	11	(	(	PUNCT
ajst-29855	230	12	cvpr	cvpr	NOUN
ajst-29855	230	13	)	)	PUNCT
ajst-29855	230	14	,	,	PUNCT
ajst-29855	230	15	seattle	seattle	PROPN
ajst-29855	230	16	,	,	PUNCT
ajst-29855	230	17	wa	wa	PROPN
ajst-29855	230	18	,	,	PUNCT
ajst-29855	230	19	jun	jun	PROPN
ajst-29855	230	20	27	27	NUM
ajst-29855	230	21	-	-	SYM
ajst-29855	230	22	30	30	NUM
ajst-29855	230	23	,	,	PUNCT
ajst-29855	230	24	2016	2016	NUM
ajst-29855	230	25	;	;	PUNCT
ajst-29855	230	26	ieee	ieee	NOUN
ajst-29855	230	27	:	:	PUNCT
ajst-29855	230	28	new	new	PROPN
ajst-29855	230	29	york	york	PROPN
ajst-29855	230	30	,	,	PUNCT
ajst-29855	230	31	2016	2016	NUM
ajst-29855	230	32	;	;	PUNCT
ajst-29855	230	33	pp	pp	ADP
ajst-29855	230	34	770	770	NUM
ajst-29855	230	35	-	-	SYM
ajst-29855	230	36	778	778	NUM
ajst-29855	230	37	.	.	PUNCT
ajst-29855	231	1	[	[	X
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ajst-29855	231	3	]	]	X
ajst-29855	231	4	liu	liu	PROPN
ajst-29855	231	5	,	,	PUNCT
ajst-29855	231	6	y.	y.	PROPN
ajst-29855	231	7	;	;	PUNCT
ajst-29855	231	8	shao	shao	PROPN
ajst-29855	231	9	,	,	PUNCT
ajst-29855	231	10	z.	z.	PROPN
ajst-29855	231	11	;	;	PUNCT
ajst-29855	231	12	hoffmann	hoffmann	PROPN
ajst-29855	231	13	,	,	PUNCT
ajst-29855	231	14	n.	n.	PROPN
ajst-29855	231	15	global	global	ADJ
ajst-29855	231	16	attention	attention	NOUN
ajst-29855	231	17	mechanism	mechanism	NOUN
ajst-29855	231	18	:	:	PUNCT
ajst-29855	231	19	retain	retain	VERB
ajst-29855	231	20	information	information	NOUN
ajst-29855	231	21	to	to	PART
ajst-29855	231	22	enhance	enhance	VERB
ajst-29855	231	23	channel	channel	NOUN
ajst-29855	231	24	-	-	PUNCT
ajst-29855	231	25	spatial	spatial	ADJ
ajst-29855	231	26	interactions	interaction	NOUN
ajst-29855	231	27	.	.	PUNCT
ajst-29855	232	1	arxiv	arxiv	PROPN
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ajst-29855	232	3	arxiv:2112.05561	arxiv:2112.05561	PROPN
ajst-29855	232	4	2021	2021	NUM
ajst-29855	232	5	.	.	PUNCT
ajst-29855	233	1	[	[	X
ajst-29855	233	2	26	26	NUM
ajst-29855	233	3	]	]	SYM
ajst-29855	233	4	hu	hu	PROPN
ajst-29855	233	5	,	,	PUNCT
ajst-29855	233	6	j.	j.	PROPN
ajst-29855	233	7	;	;	PUNCT
ajst-29855	233	8	shen	shen	PROPN
ajst-29855	233	9	,	,	PUNCT
ajst-29855	233	10	l.	l.	PROPN
ajst-29855	233	11	;	;	PUNCT
ajst-29855	233	12	sun	sun	PROPN
ajst-29855	233	13	,	,	PUNCT
ajst-29855	233	14	g.	g.	PROPN
ajst-29855	233	15	;	;	PUNCT
ajst-29855	233	16	ieee	ieee	NOUN
ajst-29855	233	17	.	.	PUNCT
ajst-29855	233	18	squeeze	squeeze	NOUN
ajst-29855	233	19	-	-	PUNCT
ajst-29855	233	20	and	and	CCONJ
ajst-29855	233	21	-	-	PUNCT
ajst-29855	233	22	excitation	excitation	NOUN
ajst-29855	233	23	networks	network	NOUN
ajst-29855	233	24	.	.	PUNCT
ajst-29855	234	1	in	in	ADP
ajst-29855	234	2	31st	31st	PROPN
ajst-29855	234	3	ieee	ieee	NOUN
ajst-29855	234	4	/	/	SYM
ajst-29855	234	5	cvf	cvf	NOUN
ajst-29855	234	6	conference	conference	NOUN
ajst-29855	234	7	on	on	ADP
ajst-29855	234	8	computer	computer	NOUN
ajst-29855	234	9	vision	vision	NOUN
ajst-29855	234	10	and	and	CCONJ
ajst-29855	234	11	pattern	pattern	NOUN
ajst-29855	234	12	recognition	recognition	NOUN
ajst-29855	234	13	(	(	PUNCT
ajst-29855	234	14	cvpr	cvpr	NOUN
ajst-29855	234	15	)	)	PUNCT
ajst-29855	234	16	,	,	PUNCT
ajst-29855	234	17	salt	salt	NOUN
ajst-29855	234	18	lake	lake	PROPN
ajst-29855	234	19	city	city	PROPN
ajst-29855	234	20	,	,	PUNCT
ajst-29855	234	21	ut	ut	PROPN
ajst-29855	234	22	,	,	PUNCT
ajst-29855	234	23	jun	jun	PROPN
ajst-29855	234	24	1823	1823	NUM
ajst-29855	234	25	,	,	PUNCT
ajst-29855	234	26	2018	2018	NUM
ajst-29855	234	27	;	;	PUNCT
ajst-29855	234	28	ieee	ieee	NOUN
ajst-29855	234	29	:	:	PUNCT
ajst-29855	234	30	new	new	PROPN
ajst-29855	234	31	york	york	PROPN
ajst-29855	234	32	,	,	PUNCT
ajst-29855	234	33	2018	2018	NUM
ajst-29855	234	34	;	;	PUNCT
ajst-29855	234	35	pp	pp	ADP
ajst-29855	234	36	7132	7132	NUM
ajst-29855	234	37	-	-	SYM
ajst-29855	234	38	7141	7141	NUM
ajst-29855	234	39	.	.	PUNCT
ajst-29855	235	1	[	[	X
ajst-29855	235	2	27	27	NUM
ajst-29855	235	3	]	]	X
ajst-29855	235	4	woo	woo	PROPN
ajst-29855	235	5	,	,	PUNCT
ajst-29855	235	6	s.	s.	PROPN
ajst-29855	235	7	h.	h.	PROPN
ajst-29855	235	8	;	;	PUNCT
ajst-29855	235	9	park	park	PROPN
ajst-29855	235	10	,	,	PUNCT
ajst-29855	235	11	j.	j.	PROPN
ajst-29855	235	12	;	;	PUNCT
ajst-29855	235	13	lee	lee	PROPN
ajst-29855	235	14	,	,	PUNCT
ajst-29855	235	15	j.	j.	PROPN
ajst-29855	235	16	y.	y.	PROPN
ajst-29855	235	17	;	;	PUNCT
ajst-29855	235	18	kweon	kweon	PROPN
ajst-29855	235	19	,	,	PUNCT
ajst-29855	235	20	i.	i.	PROPN
ajst-29855	235	21	s.	s.	PROPN
ajst-29855	235	22	cbam	cbam	PROPN
ajst-29855	235	23	:	:	PUNCT
ajst-29855	235	24	convolutional	convolutional	ADJ
ajst-29855	235	25	block	block	NOUN
ajst-29855	235	26	attention	attention	NOUN
ajst-29855	235	27	module	module	NOUN
ajst-29855	235	28	.	.	PUNCT
ajst-29855	236	1	in	in	ADP
ajst-29855	236	2	15th	15th	ADJ
ajst-29855	236	3	european	european	ADJ
ajst-29855	236	4	conference	conference	NOUN
ajst-29855	236	5	on	on	ADP
ajst-29855	236	6	computer	computer	NOUN
ajst-29855	236	7	vision	vision	NOUN
ajst-29855	236	8	(	(	PUNCT
ajst-29855	236	9	eccv	eccv	ADV
ajst-29855	236	10	)	)	PUNCT
ajst-29855	236	11	,	,	PUNCT
ajst-29855	236	12	munich	munich	PROPN
ajst-29855	236	13	,	,	PUNCT
ajst-29855	236	14	germany	germany	PROPN
ajst-29855	236	15	,	,	PUNCT
ajst-29855	236	16	sep	sep	PROPN
ajst-29855	236	17	08	08	NUM
ajst-29855	236	18	-	-	SYM
ajst-29855	236	19	14	14	NUM
ajst-29855	236	20	,	,	PUNCT
ajst-29855	236	21	2018	2018	NUM
ajst-29855	236	22	;	;	PUNCT
ajst-29855	236	23	springer	springer	NOUN
ajst-29855	236	24	international	international	PROPN
ajst-29855	236	25	publishing	publishing	PROPN
ajst-29855	236	26	ag	ag	PROPN
ajst-29855	236	27	:	:	PUNCT
ajst-29855	236	28	cham	cham	PROPN
ajst-29855	236	29	,	,	PUNCT
ajst-29855	236	30	2018	2018	NUM
ajst-29855	236	31	;	;	PUNCT
ajst-29855	236	32	vol	vol	NOUN
ajst-29855	236	33	.	.	NOUN
ajst-29855	236	34	11211	11211	NUM
ajst-29855	236	35	,	,	PUNCT
ajst-29855	236	36	pp	pp	ADP
ajst-29855	236	37	3	3	NUM
ajst-29855	236	38	-	-	SYM
ajst-29855	236	39	19	19	NUM
ajst-29855	236	40	.	.	PUNCT
ajst-29855	237	1	[	[	X
ajst-29855	237	2	28	28	NUM
ajst-29855	237	3	]	]	SYM
ajst-29855	237	4	li	li	PROPN
ajst-29855	237	5	,	,	PUNCT
ajst-29855	237	6	c.	c.	PROPN
ajst-29855	237	7	;	;	PUNCT
ajst-29855	237	8	zhou	zhou	PROPN
ajst-29855	237	9	,	,	PUNCT
ajst-29855	237	10	a.	a.	NOUN
ajst-29855	237	11	;	;	PUNCT
ajst-29855	237	12	yao	yao	PROPN
ajst-29855	237	13	,	,	PUNCT
ajst-29855	237	14	a.	a.	NOUN
ajst-29855	237	15	omni	omni	ADJ
ajst-29855	237	16	-	-	PUNCT
ajst-29855	237	17	dimensional	dimensional	ADJ
ajst-29855	237	18	dynamic	dynamic	ADJ
ajst-29855	237	19	convolution	convolution	NOUN
ajst-29855	237	20	.	.	PUNCT
ajst-29855	238	1	arxiv	arxiv	PROPN
ajst-29855	238	2	preprint	preprint	VERB
ajst-29855	238	3	arxiv:2209.07947	arxiv:2209.07947	NUM
ajst-29855	238	4	2022	2022	NUM
ajst-29855	238	5	.	.	PUNCT