{"id":"https://openalex.org/W4220774831","doi":"https://doi.org/10.1177/09596518221082857","title":"Manifold semi-supervised learning for aluminum electrolysis temperature identification based on regularized hierarchical extreme learning machine","display_name":"Manifold semi-supervised learning for aluminum electrolysis temperature identification based on regularized hierarchical extreme learning machine","publication_year":2022,"publication_date":"2022-03-17","ids":{"openalex":"https://openalex.org/W4220774831","doi":"https://doi.org/10.1177/09596518221082857"},"language":"en","primary_location":{"id":"doi:10.1177/09596518221082857","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09596518221082857","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","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/A5028451903","display_name":"Yongxiang Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Yongxiang Lei","raw_affiliation_strings":["Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["School of Physics and Electronics, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Electronics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090855504","display_name":"Hamid Reza Karimi","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Hamid Reza Karimi","raw_affiliation_strings":["Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669984","display_name":"Xiaofang Chen","orcid":"https://orcid.org/0000-0002-7188-032X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Xiaofang Chen","raw_affiliation_strings":["Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028451903"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.694,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74224909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"236","issue":"6","first_page":"1109","last_page":"1118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10409","display_name":"Fuel Cells and Related Materials","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.725517988204956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6792775988578796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6662359833717346},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6583155989646912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5809239745140076},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.4612712860107422},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.44834065437316895},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4396672248840332},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.42878761887550354},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41426998376846313},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4119986891746521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34600138664245605},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21528789401054382},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2060967981815338},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.1488461196422577},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.1443926990032196},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11682280898094177}],"concepts":[{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.725517988204956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6792775988578796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6662359833717346},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6583155989646912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5809239745140076},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.4612712860107422},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.44834065437316895},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4396672248840332},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.42878761887550354},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41426998376846313},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4119986891746521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34600138664245605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21528789401054382},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2060967981815338},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.1488461196422577},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.1443926990032196},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11682280898094177},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/09596518221082857","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09596518221082857","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","raw_type":"journal-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1232525","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1232525","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3672127204","display_name":null,"funder_award_id":"61773405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4660559003","display_name":null,"funder_award_id":"61533020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6582547867","display_name":null,"funder_award_id":"202006370101","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G847614071","display_name":null,"funder_award_id":"61751312","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2042184006","https://openalex.org/W2111072639","https://openalex.org/W2561964848","https://openalex.org/W2741800562","https://openalex.org/W2767314896","https://openalex.org/W2788805965","https://openalex.org/W2791944441","https://openalex.org/W2801671143","https://openalex.org/W2912035468","https://openalex.org/W2917628310","https://openalex.org/W2945813576","https://openalex.org/W2982252423","https://openalex.org/W2985061404","https://openalex.org/W2989872913","https://openalex.org/W2990071160","https://openalex.org/W2995012499","https://openalex.org/W3004513120","https://openalex.org/W3010250449","https://openalex.org/W3015859647","https://openalex.org/W3015966228","https://openalex.org/W3024341987","https://openalex.org/W3041270786","https://openalex.org/W3043580961","https://openalex.org/W3043722275","https://openalex.org/W3088963046","https://openalex.org/W3116394266","https://openalex.org/W3120323205","https://openalex.org/W3153655623","https://openalex.org/W3156865582","https://openalex.org/W3170895581","https://openalex.org/W3185520686","https://openalex.org/W3213485395"],"related_works":["https://openalex.org/W2387045723","https://openalex.org/W2375518579","https://openalex.org/W117517268","https://openalex.org/W2944373987","https://openalex.org/W65619410","https://openalex.org/W2112684860","https://openalex.org/W2391701611","https://openalex.org/W2149544245","https://openalex.org/W1521224934","https://openalex.org/W3109610583"],"abstract_inverted_index":{"The":[0,134,153],"aim":[1],"of":[2,39,60,161,169],"this":[3],"article":[4],"is":[5,69,125,141],"to":[6,77,127,143,167],"develop":[7],"a":[8,12,70,74,87,96,102,119],"soft":[9,61,97],"approach":[10],"for":[11,82],"real-time":[13],"cell":[14,146],"temperature":[15,147],"prediction":[16],"in":[17,48,57,148],"the":[18,23,36,40,58,65,79,83,111,130,145,157,162,170],"aluminum":[19,150],"electrolysis":[20],"reduction.":[21],"Under":[22],"limited":[24],"labeled":[25,89],"data":[26,41],"constraint,":[27],"Laplacian":[28,66],"semi-supervised":[29,103,121,136],"learning":[30,105,116,123,138],"methods,":[31],"which":[32,107],"can":[33],"fully":[34],"utilize":[35],"underlying":[37,67],"structure":[38],"distribution":[42,132],"and":[43,159],"further":[44],"extract":[45],"information":[46],"contained":[47],"all":[49,129],"available":[50],"data,":[51],"has":[52],"recently":[53],"received":[54],"extensive":[55],"attention":[56],"field":[59],"sensor":[62],"modeling.":[63],"Since":[64],"manifold":[68],"constant,":[71],"it":[72],"remains":[73],"challenging":[75],"task":[76],"improve":[78],"extrapolating":[80],"ability":[81],"case":[84],"that":[85],"only":[86],"few":[88],"samples":[90],"are":[91,165],"available.":[92],"This":[93],"study":[94],"presents":[95],"modeling":[98],"method":[99,140],"based":[100],"on":[101],"deep":[104],"structure,":[106],"was":[108],"developed":[109],"from":[110],"hierarchical":[112],"autoencoders":[113],"with":[114],"extreme":[115,122,137],"machine.":[117],"Furthermore,":[118],"Laplacian\u2013Hessian":[120,135],"machine":[124,139],"built":[126],"learn":[128],"geometric":[131],"information.":[133],"applied":[142],"estimate":[144],"an":[149],"reduction":[151],"process.":[152],"experimental":[154],"results":[155],"demonstrate":[156],"performance":[158],"robustness":[160],"proposed":[163],"algorithm":[164],"superior":[166],"those":[168],"existing":[171],"state-of-the-art":[172],"methods.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}