{"id":"https://openalex.org/W4417092039","doi":"https://doi.org/10.1016/j.eswa.2025.130751","title":"GF-DBiNN: Gated fusion-based deep bi-channel neural network for industrial soft sensor modeling","display_name":"GF-DBiNN: Gated fusion-based deep bi-channel neural network for industrial soft sensor modeling","publication_year":2025,"publication_date":"2025-12-07","ids":{"openalex":"https://openalex.org/W4417092039","doi":"https://doi.org/10.1016/j.eswa.2025.130751"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2025.130751","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.130751","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","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/A5014890114","display_name":"Chudong Tong","orcid":"https://orcid.org/0000-0002-4973-8060"},"institutions":[{"id":"https://openalex.org/I4210143969","display_name":"Ningbo Polytechnic","ror":"https://ror.org/04c154n61","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390","https://openalex.org/I4210143969"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chudong Tong","raw_affiliation_strings":["Institute of Intelligent Electronics & Control, Ningbo Polytechnic University, Ningbo, Zhejiang Province 315800, PR China"],"raw_orcid":"https://orcid.org/0000-0002-4973-8060","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Electronics & Control, Ningbo Polytechnic University, Ningbo, Zhejiang Province 315800, PR China","institution_ids":["https://openalex.org/I4210143969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079676289","display_name":"Huatong Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143969","display_name":"Ningbo Polytechnic","ror":"https://ror.org/04c154n61","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390","https://openalex.org/I4210143969"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huatong Dai","raw_affiliation_strings":["Institute of Intelligent Electronics & Control, Ningbo Polytechnic University, Ningbo, Zhejiang Province 315800, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Electronics & Control, Ningbo Polytechnic University, Ningbo, Zhejiang Province 315800, PR China","institution_ids":["https://openalex.org/I4210143969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040311207","display_name":"Lijia Luo","orcid":"https://orcid.org/0000-0002-6040-6147"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijia Luo","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang Province 310014, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang Province 310014, PR China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014890114"],"corresponding_institution_ids":["https://openalex.org/I4210143969"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4166551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"303","issue":null,"first_page":"130751","last_page":"130751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9082000255584717,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9082000255584717,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.009499999694526196,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12676","display_name":"Machine Learning and ELM","score":0.008700000122189522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.8349999785423279},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7110999822616577},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.63919997215271},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6179999709129333},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.538100004196167},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5230000019073486},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5070000290870667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.489300012588501},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4722999930381775}],"concepts":[{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.8349999785423279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8080000281333923},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7110999822616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6848000288009644},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.63919997215271},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6179999709129333},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.538100004196167},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5230000019073486},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5070000290870667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.489300012588501},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4722999930381775},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4652000069618225},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2815999984741211},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.2768999934196472}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2025.130751","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.130751","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G985867836","display_name":null,"funder_award_id":"52175152","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":39,"referenced_works":["https://openalex.org/W1989114607","https://openalex.org/W2076423279","https://openalex.org/W2751584934","https://openalex.org/W2971407654","https://openalex.org/W2998450902","https://openalex.org/W3081318531","https://openalex.org/W3216537044","https://openalex.org/W4212901299","https://openalex.org/W4221039386","https://openalex.org/W4313132810","https://openalex.org/W4323922461","https://openalex.org/W4327521490","https://openalex.org/W4383505621","https://openalex.org/W4386484666","https://openalex.org/W4386503793","https://openalex.org/W4386565252","https://openalex.org/W4388342097","https://openalex.org/W4396758437","https://openalex.org/W4399588746","https://openalex.org/W4399804700","https://openalex.org/W4400390645","https://openalex.org/W4400496074","https://openalex.org/W4400810016","https://openalex.org/W4401983725","https://openalex.org/W4403278545","https://openalex.org/W4403807779","https://openalex.org/W4404202132","https://openalex.org/W4404723353","https://openalex.org/W4405050375","https://openalex.org/W4407098897","https://openalex.org/W4407464930","https://openalex.org/W4408077539","https://openalex.org/W4408517699","https://openalex.org/W4409002483","https://openalex.org/W4409192378","https://openalex.org/W4410022220","https://openalex.org/W4410465929","https://openalex.org/W4412776289","https://openalex.org/W4412860469"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-12-07T00:00:00"}
