{"id":"https://openalex.org/W4408716611","doi":"https://doi.org/10.1109/tim.2025.3553262","title":"Intelligent Working Conditions Recognition Method and Application Incorporating Semi-Supervised Learning With Multilevel Information Fusion","display_name":"Intelligent Working Conditions Recognition Method and Application Incorporating Semi-Supervised Learning With Multilevel Information Fusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408716611","doi":"https://doi.org/10.1109/tim.2025.3553262"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3553262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3553262","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/A5047383541","display_name":"Ping Zhou","orcid":"https://orcid.org/0000-0002-9398-172X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Zhou","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101271528","display_name":"Benyi Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benyi Jiang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092384370","display_name":"Yu Zhang","orcid":"https://orcid.org/0009-0003-9352-5489"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042520521","display_name":"Tianyou Chai","orcid":"https://orcid.org/0000-0002-4623-1483"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyou Chai","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047383541"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05453161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.6796000003814697,"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"}},"topics":[{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.6796000003814697,"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/computer-science","display_name":"Computer science","score":0.622855007648468},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.5989627242088318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5828477144241333},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5328384637832642},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5255507230758667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4293667674064636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.416015625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622855007648468},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.5989627242088318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5828477144241333},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5328384637832642},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5255507230758667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4293667674064636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.416015625},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3553262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3553262","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":[],"awards":[{"id":"https://openalex.org/G3712584777","display_name":null,"funder_award_id":"U22A2049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4131671080","display_name":null,"funder_award_id":"2022YFB3304903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5409562055","display_name":null,"funder_award_id":"B08015","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G5667309283","display_name":null,"funder_award_id":"B08015","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/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2937170475","https://openalex.org/W2962834855","https://openalex.org/W2963857746","https://openalex.org/W2966415767","https://openalex.org/W3002196107","https://openalex.org/W3035682985","https://openalex.org/W3156117144","https://openalex.org/W3186378822","https://openalex.org/W3214102707","https://openalex.org/W4200452132","https://openalex.org/W4220953242","https://openalex.org/W4221162144","https://openalex.org/W4281627925","https://openalex.org/W4285065873","https://openalex.org/W4285262747","https://openalex.org/W4289752563","https://openalex.org/W4293571929","https://openalex.org/W4308222678","https://openalex.org/W4310918004","https://openalex.org/W4311847607","https://openalex.org/W4312357822","https://openalex.org/W4321608004","https://openalex.org/W4323073313","https://openalex.org/W4361800601","https://openalex.org/W4365801697","https://openalex.org/W4379662139","https://openalex.org/W4382316399","https://openalex.org/W4385249097","https://openalex.org/W4385257519","https://openalex.org/W4387067998","https://openalex.org/W4387353607","https://openalex.org/W4389133822","https://openalex.org/W4390406764","https://openalex.org/W4390986066","https://openalex.org/W4403840344","https://openalex.org/W4404078863","https://openalex.org/W4404317078","https://openalex.org/W4404563729","https://openalex.org/W6733814495","https://openalex.org/W6750729320","https://openalex.org/W6752083267","https://openalex.org/W6762913911","https://openalex.org/W6765939562","https://openalex.org/W6771787070","https://openalex.org/W6773005947","https://openalex.org/W6779659972","https://openalex.org/W6786301610","https://openalex.org/W6802864417"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039","https://openalex.org/W3088112989","https://openalex.org/W2392793229","https://openalex.org/W2355579697","https://openalex.org/W2103761320","https://openalex.org/W4360871138","https://openalex.org/W3208972923"],"abstract_inverted_index":{"Real":[0],"time":[1],"and":[2,14,24,70,78,108,135],"precise":[3],"recognition":[4,53,64,153,171],"of":[5,38,48,97,120,125,139,157,173],"industrial":[6,165],"process":[7],"working":[8,62,140,151],"conditions":[9,63,141,152],"is":[10,89,142,161],"essential":[11],"for":[12,104],"control":[13],"optimization,":[15],"playing":[16],"a":[17,59,83,131,136,169],"crucial":[18],"role":[19],"in":[20,35,41,148],"ensuring":[21],"production":[22],"safety":[23],"efficiency.":[25],"Nevertheless,":[26],"the":[27,36,45,93,118,123,149,158],"substantial":[28],"costs":[29],"associated":[30],"with":[31,163],"labeled":[32],"samples":[33,101],"result":[34],"underutilization":[37],"unlabeled":[39],"data":[40,50,127],"production.":[42],"Additionally,":[43],"leveraging":[44],"complementary":[46],"characteristics":[47],"heterogeneous":[49,126],"can":[51],"enhance":[52],"accuracy.":[54,81],"Therefore,":[55],"this":[56],"article":[57],"proposes":[58],"novel":[60],"intelligent":[61],"method":[65,160],"that":[66],"integrates":[67],"semi-supervised":[68,110],"learning":[69],"multilevel":[71],"information":[72,76],"fusion,":[73,146],"effectively":[74],"increasing":[75],"capacity":[77],"enhancing":[79],"modeling":[80],"Initially,":[82],"multiscale":[84],"feature":[85,95],"fusion":[86],"network":[87],"(MSFFNet)":[88],"established":[90],"to":[91,116],"accommodate":[92],"fine-grained":[94],"requirements":[96],"image":[98],"modeling.":[99],"Subsequently,":[100],"are":[102,128],"evaluated":[103],"uncertainty":[105],"both":[106],"before":[107],"after":[109],"recognition,":[111],"using":[112,130],"an":[113],"aggregation":[114],"strategy":[115],"refine":[117],"quality":[119],"pseudolabels.":[121],"Ultimately,":[122],"features":[124],"fused":[129],"bilinear":[132],"attention":[133],"network,":[134],"consistent":[137],"description":[138],"achieved":[143],"through":[144],"decision-level":[145],"culminating":[147],"final":[150],"results.":[154],"The":[155],"effectiveness":[156],"proposed":[159],"validated":[162],"actual":[164],"multimodal":[166],"data,":[167],"achieving":[168],"remarkable":[170],"accuracy":[172],"98.91%.":[174]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
