{"id":"https://openalex.org/W4321380792","doi":"https://doi.org/10.1109/tim.2023.3246514","title":"A Novel Spatio-Temporal Adaptive Prediction Modeling Strategy for Industrial Production Process","display_name":"A Novel Spatio-Temporal Adaptive Prediction Modeling Strategy for Industrial Production Process","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321380792","doi":"https://doi.org/10.1109/tim.2023.3246514"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3246514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3246514","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101918752","display_name":"Sen Xie","orcid":"https://orcid.org/0000-0001-7848-6790"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Xie","raw_affiliation_strings":["Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7848-6790","affiliations":[{"raw_affiliation_string":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009034429","display_name":"Yuyang Hua","orcid":"https://orcid.org/0000-0002-0782-514X"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Hua","raw_affiliation_strings":["Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0782-514X","affiliations":[{"raw_affiliation_string":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732939","display_name":"Shan Lu","orcid":"https://orcid.org/0000-0001-9849-216X"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Lu","raw_affiliation_strings":["Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9849-216X","affiliations":[{"raw_affiliation_string":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012746656","display_name":"Xinchao Li","orcid":"https://orcid.org/0000-0002-7640-9529"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinchao Li","raw_affiliation_strings":["Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7640-9529","affiliations":[{"raw_affiliation_string":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101918752"],"corresponding_institution_ids":["https://openalex.org/I182722699"],"apc_list":null,"apc_paid":null,"fwci":1.3991,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80112906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6155246496200562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5838485956192017},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5713268518447876},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4633157253265381},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4320055842399597},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.42964670062065125},{"id":"https://openalex.org/keywords/evaporation","display_name":"Evaporation","score":0.4235767722129822},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.42134347558021545},{"id":"https://openalex.org/keywords/industrial-production","display_name":"Industrial production","score":0.4193056523799896}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6155246496200562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5838485956192017},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5713268518447876},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4633157253265381},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4320055842399597},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.42964670062065125},{"id":"https://openalex.org/C61441594","wikidata":"https://www.wikidata.org/wiki/Q132814","display_name":"Evaporation","level":2,"score":0.4235767722129822},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.42134347558021545},{"id":"https://openalex.org/C82753439","wikidata":"https://www.wikidata.org/wiki/Q1419090","display_name":"Industrial production","level":2,"score":0.4193056523799896},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C165556158","wikidata":"https://www.wikidata.org/wiki/Q83937","display_name":"Keynesian economics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3246514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3246514","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G2408639511","display_name":null,"funder_award_id":"61903257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3922050730","display_name":null,"funder_award_id":"2022A1515011040","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4597409737","display_name":null,"funder_award_id":"6022312036K","funder_id":"https://openalex.org/F4320313851","funder_display_name":"Shenzhen Polytechnic"},{"id":"https://openalex.org/G4841438967","display_name":null,"funder_award_id":"6022271004K","funder_id":"https://openalex.org/F4320313851","funder_display_name":"Shenzhen Polytechnic"}],"funders":[{"id":"https://openalex.org/F4320313851","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1134955226","https://openalex.org/W1903334853","https://openalex.org/W1969833588","https://openalex.org/W2035950695","https://openalex.org/W2079799299","https://openalex.org/W2087285421","https://openalex.org/W2236922185","https://openalex.org/W2316323201","https://openalex.org/W2320003029","https://openalex.org/W2393958955","https://openalex.org/W2587037522","https://openalex.org/W2588998538","https://openalex.org/W2602750048","https://openalex.org/W2792986592","https://openalex.org/W2808150083","https://openalex.org/W2889198235","https://openalex.org/W2896018779","https://openalex.org/W2900732764","https://openalex.org/W2905035859","https://openalex.org/W2930688776","https://openalex.org/W2967284880","https://openalex.org/W2976978016","https://openalex.org/W2979184896","https://openalex.org/W2979860990","https://openalex.org/W2981742420","https://openalex.org/W2992915069","https://openalex.org/W2998450902","https://openalex.org/W3003980041","https://openalex.org/W3008459696","https://openalex.org/W3016077482","https://openalex.org/W3033693279","https://openalex.org/W3036354513","https://openalex.org/W3044397783","https://openalex.org/W3094290933","https://openalex.org/W3102602528","https://openalex.org/W3119685096","https://openalex.org/W3124489290","https://openalex.org/W3198039106"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W2368915307","https://openalex.org/W2365687337","https://openalex.org/W2358180351","https://openalex.org/W2392368077","https://openalex.org/W2365082216","https://openalex.org/W2394044338","https://openalex.org/W2378726314","https://openalex.org/W2388018705","https://openalex.org/W2362703586"],"abstract_inverted_index":{"Evaporation":[0],"is":[1,21,79,87,102,131,142],"a":[2,22,69,121],"key":[3],"process":[4,94,99,107,141],"for":[5,26,35,89,133],"recycling":[6],"resources":[7],"and":[8,30,50,60,66,109,118,127,153,175],"reducing":[9],"the":[10,51,56,98,106,116,146,149,160,167,172],"environmental":[11],"pollution":[12],"in":[13,81],"alumina":[14],"production.":[15],"Its":[16],"outlet":[17],"liquid":[18],"material":[19],"concentration":[20],"significant":[23],"production":[24,53,95],"indicator":[25],"evaluating":[27],"evaporation":[28,37,140],"quality":[29,41],"also":[31],"an":[32,138],"important":[33],"basis":[34],"adjusting":[36],"operation":[38],"parameters.":[39],"The":[40],"detection":[42],"of":[43,58,148],"sodium":[44],"aluminate":[45],"solution,":[46],"however,":[47],"lags":[48],"behind,":[49],"delayed":[52],"information":[54,77],"affects":[55],"accuracy":[57],"optimization":[59],"control.":[61],"Therefore,":[62],"to":[63,91,144],"achieve":[64],"efficient":[65],"green":[67],"production,":[68],"novel":[70],"spatio-temporal":[71,122],"prediction":[72,151,157,169,173],"model":[73,101,124,170],"based":[74],"on":[75],"mutual":[76],"(MI)":[78],"presented":[80],"this":[82],"article.":[83],"First,":[84],"data":[85],"reconciliation":[86],"applied":[88,143],"preprocessing":[90],"obtain":[92],"high-quality":[93],"information.":[96],"Besides,":[97],"mechanism":[100,134],"constructed":[103],"by":[104],"using":[105],"knowledge":[108],"balance":[110],"principle.":[111],"By":[112],"taking":[113],"into":[114],"account":[115],"nonlinearity":[117],"time-varying":[119],"characteristics,":[120],"data-driven":[123],"with":[125],"MI":[126],"moving":[128],"window":[129],"(MW)":[130],"established":[132],"error":[135,158,162],"compensation.":[136],"Finally,":[137],"industrial":[139],"illustrate":[145],"feasibility":[147],"proposed":[150,168],"model,":[152],"more":[154],"than":[155],"90%":[156],"within":[159],"2%":[161],"range,":[163],"which":[164],"demonstrates":[165],"that":[166],"improves":[171],"condition":[174],"performance":[176],"effectively.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
