{"id":"https://openalex.org/W4391854902","doi":"https://doi.org/10.1109/tii.2024.3359416","title":"Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning","display_name":"Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning","publication_year":2024,"publication_date":"2024-02-15","ids":{"openalex":"https://openalex.org/W4391854902","doi":"https://doi.org/10.1109/tii.2024.3359416"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3359416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3359416","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5041553936","display_name":"Chenliang Liu","orcid":"https://orcid.org/0000-0003-2983-3105"},"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":true,"raw_author_name":"Chenliang Liu","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2983-3105","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740826","display_name":"Yalin Wang","orcid":"https://orcid.org/0000-0002-1876-7707"},"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":"Yalin Wang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1876-7707","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077224014","display_name":"Yijing Fang","orcid":"https://orcid.org/0000-0003-4780-8245"},"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":"Yijing Fang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4780-8245","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971818","display_name":"Chunhua Yang","orcid":"https://orcid.org/0000-0002-3770-9887"},"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":"Chunhua Yang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3770-9887","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711520","display_name":"Weihua Gui","orcid":"https://orcid.org/0000-0002-5337-6445"},"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":"Weihua Gui","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5337-6445","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041553936"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":6.1386,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96340633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":"5","first_page":"7428","last_page":"7439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9096999764442444,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/autoencoder","display_name":"Autoencoder","score":0.842806339263916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.552360475063324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5126863718032837},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4550153315067291},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4538480341434479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4248258173465729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4005201458930969},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3766941428184509},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3501407504081726},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33983081579208374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25785887241363525},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1504867970943451},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07794782519340515}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.842806339263916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552360475063324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5126863718032837},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4550153315067291},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4538480341434479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4248258173465729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4005201458930969},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3766941428184509},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3501407504081726},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33983081579208374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25785887241363525},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1504867970943451},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07794782519340515},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3359416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3359416","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3167315294","display_name":null,"funder_award_id":"U1911401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3446213411","display_name":null,"funder_award_id":"62103063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G74403156","display_name":null,"funder_award_id":"92267205","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2311599690","https://openalex.org/W2610870325","https://openalex.org/W2611467245","https://openalex.org/W3011727199","https://openalex.org/W3012522386","https://openalex.org/W3023882825","https://openalex.org/W3047339069","https://openalex.org/W3123899295","https://openalex.org/W3138784438","https://openalex.org/W3141688548","https://openalex.org/W3155143560","https://openalex.org/W3184679245","https://openalex.org/W3205952246","https://openalex.org/W3214607848","https://openalex.org/W3216337268","https://openalex.org/W3216537044","https://openalex.org/W4220785625","https://openalex.org/W4221113159","https://openalex.org/W4226155060","https://openalex.org/W4285238259","https://openalex.org/W4285411253","https://openalex.org/W4296473541","https://openalex.org/W4312895096","https://openalex.org/W4323922461","https://openalex.org/W4365801697","https://openalex.org/W4385516948","https://openalex.org/W4386006421","https://openalex.org/W4386737432","https://openalex.org/W4390590956"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W2355395139","https://openalex.org/W117517268","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W3159953198","https://openalex.org/W4387713464","https://openalex.org/W2380477800","https://openalex.org/W2347974653"],"abstract_inverted_index":{"The":[0],"real-time":[1],"recognition":[2,179],"of":[3,16,24,30,73,112,123,144,167,173],"operating":[4,37,138],"conditions":[5,38,139],"is":[6,43,133],"always":[7],"critical":[8],"to":[9,47,65,90,135,163],"ensuring":[10],"the":[11,21,28,48,71,80,93,101,107,113,120,137,142,165,168],"efficient":[12],"and":[13,76,83,100,176],"stable":[14],"operation":[15,177],"industrial":[17,156],"flotation":[18,34,157],"processes.":[19],"Although":[20],"widespread":[22],"use":[23],"smart":[25],"devices":[26],"enables":[27],"availability":[29],"multimodal":[31,128],"data":[32,41,109],"in":[33,146,171],"processes,":[35],"recognizing":[36],"using":[39],"cross-modal":[40,108],"information":[42],"still":[44],"challenging":[45],"due":[46],"modality":[49,75,99],"gap.":[50],"To":[51],"address":[52],"this":[53,55],"issue,":[54],"article":[56],"first":[57],"proposes":[58],"an":[59,126],"innovative":[60],"bimodal":[61],"manifold":[62,85,95],"autoencoder":[63],"model":[64],"predict":[66],"interested":[67],"quality":[68,124,174],"variables":[69],"from":[70],"perspective":[72],"visual":[74],"auditory":[77],"modality.":[78],"Specifically,":[79],"well-designed":[81],"intra-":[82],"intermodal":[84],"regularization":[86],"constraints":[87],"are":[88,152],"introduced":[89],"fully":[91],"learn":[92],"intrinsic":[94],"features":[96],"within":[97],"each":[98],"interdependencies":[102],"across":[103],"modalities,":[104],"thereby":[105],"enhancing":[106],"representation":[110],"ability":[111],"developed":[114],"prediction":[115,121,175],"models.":[116],"Then,":[117],"based":[118],"on":[119,154],"values":[122],"variables,":[125],"adaptable":[127],"fuzzy":[129],"decision":[130],"inference":[131],"module":[132],"designed":[134],"recognize":[136],"while":[140],"counteracting":[141],"influence":[143],"fluctuations":[145],"feedstock":[147],"properties.":[148],"Finally,":[149],"extensive":[150],"experiments":[151],"conducted":[153],"two":[155],"process":[158],"datasets":[159],"at":[160],"distinct":[161],"periods":[162],"validate":[164],"superiority":[166],"proposed":[169],"methods":[170],"terms":[172],"condition":[178],"tasks.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}
