{"id":"https://openalex.org/W4413371374","doi":"https://doi.org/10.1109/tii.2025.3582372","title":"TKDA: A Tensor-Based Knowledge Distillation Approach of Anomaly Detection for Industrial Cyber-Physical Intelligence","display_name":"TKDA: A Tensor-Based Knowledge Distillation Approach of Anomaly Detection for Industrial Cyber-Physical Intelligence","publication_year":2025,"publication_date":"2025-08-20","ids":{"openalex":"https://openalex.org/W4413371374","doi":"https://doi.org/10.1109/tii.2025.3582372"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3582372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3582372","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/A5026291016","display_name":"Xiaokang Wang","orcid":"https://orcid.org/0000-0002-0981-6204"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaokang Wang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085737589","display_name":"W. Fang","orcid":"https://orcid.org/0009-0002-2330-1730"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Fang","raw_affiliation_strings":["School of Computer Science and Technology, Hainan University, Haikou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067091021","display_name":"Songhe Yuan","orcid":"https://orcid.org/0000-0002-8131-5009"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songhe Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Hainan University, Haikou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028426177","display_name":"Lei Ren","orcid":"https://orcid.org/0000-0001-6346-6930"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ren","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049154222","display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laurence T. Yang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060713232","display_name":"M. Jamal Deen","orcid":"https://orcid.org/0000-0002-6390-0933"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Jamal Deen","raw_affiliation_strings":["Electrical and Computer Engineering and the School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering and the School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026291016"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12334745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"11","first_page":"8442","last_page":"8452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9761000275611877,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9761000275611877,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9656000137329102,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9016000032424927,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cyber-physical-system","display_name":"Cyber-physical system","score":0.7425917983055115},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7129903435707092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5452315807342529},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4412789046764374},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.43826743960380554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.409898579120636},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16556677222251892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1445874273777008},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.09802070260047913}],"concepts":[{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.7425917983055115},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7129903435707092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5452315807342529},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4412789046764374},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.43826743960380554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.409898579120636},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16556677222251892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1445874273777008},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.09802070260047913},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3582372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3582372","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":[],"awards":[{"id":"https://openalex.org/G8636688293","display_name":null,"funder_award_id":"62262014","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":30,"referenced_works":["https://openalex.org/W1963826206","https://openalex.org/W1991042426","https://openalex.org/W2035399158","https://openalex.org/W2104052971","https://openalex.org/W2109694884","https://openalex.org/W2599354622","https://openalex.org/W2914570111","https://openalex.org/W2948982773","https://openalex.org/W2962785568","https://openalex.org/W2963049059","https://openalex.org/W2964338223","https://openalex.org/W2977117446","https://openalex.org/W3008638899","https://openalex.org/W3041631353","https://openalex.org/W3126827950","https://openalex.org/W3169077988","https://openalex.org/W3202327860","https://openalex.org/W4224295789","https://openalex.org/W4287322212","https://openalex.org/W4292258978","https://openalex.org/W4312772600","https://openalex.org/W4376626035","https://openalex.org/W4387566431","https://openalex.org/W4388206353","https://openalex.org/W4393940240","https://openalex.org/W4396757510","https://openalex.org/W4401246585","https://openalex.org/W4402630775","https://openalex.org/W4407349619","https://openalex.org/W4411244487"],"related_works":["https://openalex.org/W3004173571","https://openalex.org/W3019776739","https://openalex.org/W2546638913","https://openalex.org/W2209816623","https://openalex.org/W2968885840","https://openalex.org/W3135700974","https://openalex.org/W4313307484","https://openalex.org/W2791379413","https://openalex.org/W2086962923","https://openalex.org/W4319436466"],"abstract_inverted_index":{"The":[0],"breakthroughs":[1],"of":[2,10,40,86,91,100,162],"next-generation":[3],"information":[4],"technologies":[5],"have":[6,61],"accelerated":[7],"the":[8,83,89,96,160],"advancement":[9],"industrial":[11],"cyber-physical":[12],"intelligence":[13,18],"(ICPI),":[14],"particularly":[15],"in":[16,28,64,142,165,170],"system":[17,33],"and":[19,32,42,55,88,98,126,137,148,168,185],"applications.":[20],"However,":[21],"this":[22,66,105],"progress":[23],"has":[24],"also":[25],"brought":[26],"challenges":[27],"ensuring":[29],"operational":[30],"reliability":[31],"intelligence.":[34],"Anomaly":[35],"detection,":[36],"a":[37,52,118,122,127,131],"critical":[38],"component":[39],"fault-tolerant":[41],"intelligent":[43],"ICPI,":[44],"is":[45,114],"usually":[46],"addressed":[47],"by":[48,139],"treating":[49],"it":[50],"as":[51],"one-class":[53],"classification":[54],"location":[56,167],"problem.":[57],"While":[58],"autoencoder":[59],"frameworks":[60],"shown":[62],"promise":[63],"addressing":[65],"challenge,":[67],"most":[68],"existing":[69],"methods":[70],"usual":[71],"struggle":[72],"with":[73],"precise":[74],"anomaly":[75,101,166],"identification":[76],"or":[77],"require":[78],"resource-intensive":[79],"region-based":[80],"training.":[81],"Furthermore,":[82],"dynamic":[84],"nature":[85],"anomalies":[87],"scarcity":[90],"labeled":[92],"training":[93],"data":[94,152],"complicate":[95],"development":[97],"evaluation":[99],"detection":[102],"models.":[103],"In":[104],"article,":[106],"an":[107],"innovative":[108],"tensor-based":[109],"knowledge":[110],"distillation":[111],"approach":[112],"(TKDA)":[113],"introduced,":[115],"which":[116],"integrates":[117],"pretrained":[119],"teacher":[120,147],"network,":[121,125],"tensor-decomposed":[123],"student":[124,149],"denoising":[128],"module":[129],"into":[130],"unified":[132],"framework.":[133],"Anomalies":[134],"are":[135],"identified":[136],"localized":[138],"analyzing":[140],"differences":[141],"intermediate":[143],"activation":[144],"values":[145],"between":[146],"networks":[150],"during":[151],"processing.":[153],"Extensive":[154],"experiments":[155],"demonstrate":[156],"that":[157],"TKDA":[158],"addresses":[159],"limitations":[161],"low":[163],"accuracy":[164],"inefficiency":[169],"computational":[171],"processes,":[172],"achieving":[173],"significant":[174],"improvements":[175],"across":[176],"diverse":[177],"datasets,":[178],"including":[179],"F-MNIST,":[180],"MNIST,":[181],"CIFAR-10,":[182],"MVTecAD,":[183],"Retinal-OCT,":[184],"two":[186],"medical":[187],"datasets.":[188]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}