{"id":"https://openalex.org/W4403721220","doi":"https://doi.org/10.1109/tii.2024.3475419","title":"DAMPNN: Dynamic Adaptive Message Passing Neural Network for Industrial Soft Sensor","display_name":"DAMPNN: Dynamic Adaptive Message Passing Neural Network for Industrial Soft Sensor","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4403721220","doi":"https://doi.org/10.1109/tii.2024.3475419"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3475419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3475419","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/A5101786091","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0002-4601-4593"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Yan","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101762609","display_name":"Chunjie Yang","orcid":"https://orcid.org/0000-0002-4362-2104"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjie Yang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086464447","display_name":"Liyuan Kong","orcid":"https://orcid.org/0000-0003-0810-5811"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyuan Kong","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011724758","display_name":"Chong Yang","orcid":"https://orcid.org/0000-0001-9067-9413"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Yang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101786091"],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":2.2128,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89746289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"21","issue":"2","first_page":"1190","last_page":"1199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8758000135421753,"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/T10320","display_name":"Neural Networks and Applications","score":0.8758000135421753,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.7674999833106995,"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.7479000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.681186854839325},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6358795762062073},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.6337507963180542},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5953556299209595},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2924273610115051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25596359372138977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681186854839325},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6358795762062073},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.6337507963180542},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5953556299209595},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2924273610115051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25596359372138977},{"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/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3475419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3475419","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":"Affordable and clean energy","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1656774182","display_name":null,"funder_award_id":"62394341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1982266191","display_name":null,"funder_award_id":"61933015","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1996195892","https://openalex.org/W2155874308","https://openalex.org/W2167277498","https://openalex.org/W2539756354","https://openalex.org/W2778083011","https://openalex.org/W2788805965","https://openalex.org/W2789845700","https://openalex.org/W2991653934","https://openalex.org/W3015966228","https://openalex.org/W3025750776","https://openalex.org/W3098637430","https://openalex.org/W3135695944","https://openalex.org/W3177318507","https://openalex.org/W3217429229","https://openalex.org/W4200597037","https://openalex.org/W4212888625","https://openalex.org/W4220822815","https://openalex.org/W4285115901","https://openalex.org/W4309951073","https://openalex.org/W4311897818","https://openalex.org/W4312313802","https://openalex.org/W4312672146","https://openalex.org/W4318040941","https://openalex.org/W4402509093","https://openalex.org/W6640212811","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6769247497","https://openalex.org/W6790690058","https://openalex.org/W6803593175","https://openalex.org/W6805440323"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2374290272","https://openalex.org/W2097933059","https://openalex.org/W4386158748","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2378018100"],"abstract_inverted_index":{"Data-driven":[0],"soft":[1,15,32,50,112,188,207],"sensor":[2,16,33,51,189,208],"modeling":[3,34],"has":[4],"received":[5],"much":[6],"attention":[7],"in":[8,43,97,118],"industrial":[9,111,198],"processes.":[10],"Most":[11],"of":[12,86,121,145],"the":[13,21,84,90,175,204],"existing":[14,48,205],"approaches":[17],"have":[18,36,81],"not":[19,82],"considered":[20,83],"complex":[22],"dynamic":[23,68,75,103,154],"spatial":[24],"coupling":[25],"characteristics":[26],"between":[27,141],"process":[28,142],"variables.":[29],"Recently,":[30],"graph-based":[31,49,206],"methods":[35],"started":[37],"to":[38,73,136,158,178],"show":[39],"powerful":[40],"expressive":[41],"ability":[42],"capturing":[44],"relational":[45],"dependencies.":[46],"However,":[47],"models":[52,59],"still":[53],"confront":[54],"several":[55],"limitations:":[56],"1)":[57],"these":[58,95],"usually":[60],"depend":[61],"on":[62,195],"predefined":[63,147],"graph":[64,133,164],"structures":[65],"or":[66],"local":[67],"graph;":[69],"2)":[70],"they":[71,80],"fail":[72],"study":[74],"message":[76,105,155],"passing":[77,106,156],"mechanism;":[78],"3)":[79],"importance":[85],"extracted":[87],"features":[88,182],"from":[89],"entire":[91],"graph.":[92],"To":[93],"handle":[94],"problems,":[96],"this":[98],"study,":[99],"we":[100,129,151],"develop":[101],"a":[102,146,153,168],"adaptive":[104,132],"neural":[107],"network":[108],"(DAMPNN)":[109],"for":[110,186],"sensor.":[113],"The":[114],"main":[115],"novelty":[116],"lies":[117],"an":[119,131],"integration":[120],"our":[122],"designed":[123],"three":[124],"modules":[125],"into":[126,174],"DAMPNN.":[127],"First,":[128],"propose":[130],"learning":[134],"module":[135,157,171],"automatically":[137],"capture":[138],"mutual":[139],"relationships":[140],"variables":[143],"instead":[144],"adjacency":[148],"matrix.":[149],"Then,":[150],"design":[152],"aggregate":[159],"neighborhood":[160],"information":[161],"and":[162,183],"update":[163],"representation.":[165],"In":[166],"addition,":[167],"dual":[169],"self-attention":[170],"is":[172],"embedded":[173],"top":[176],"layer":[177],"concurrently":[179],"emphasize":[180],"informative":[181],"time":[184],"points":[185],"fine-grained":[187],"modeling.":[190],"Finally,":[191],"comprehensive":[192],"comparison":[193],"results":[194],"two":[196],"real-world":[197],"cases":[199],"demonstrate":[200],"that":[201],"DAMPNN":[202],"outperforms":[203],"methods.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
