{"id":"https://openalex.org/W4401835980","doi":"https://doi.org/10.1109/jiot.2024.3448505","title":"MuLDOM: Forecasting Multivariate Anomalies on Edge Devices in IIoT Using Multibranch LSTM and Differential Overfitting Mitigation Model","display_name":"MuLDOM: Forecasting Multivariate Anomalies on Edge Devices in IIoT Using Multibranch LSTM and Differential Overfitting Mitigation Model","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4401835980","doi":"https://doi.org/10.1109/jiot.2024.3448505"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3448505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3448505","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5019013483","display_name":"Pengyong Li","orcid":"https://orcid.org/0000-0003-2957-7033"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengyong Li","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2957-7033","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101435299","display_name":"Meng Wu","orcid":"https://orcid.org/0000-0002-4313-4530"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wu","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4313-4530","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104385162","display_name":"Yujie Zhang","orcid":"https://orcid.org/0000-0001-5511-9373"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zhang","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5511-9373","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041163273","display_name":"Jiaqi Xia","orcid":"https://orcid.org/0009-0008-2272-0494"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Xia","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-2272-0494","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391059","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0002-4053-4782"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4053-4782","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019013483"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.4058,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56208117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"11","issue":"23","first_page":"38645","last_page":"38656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/overfitting","display_name":"Overfitting","score":0.9354461431503296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7362480163574219},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.727279543876648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5660375356674194},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5240921378135681},{"id":"https://openalex.org/keywords/differential","display_name":"Differential (mechanical device)","score":0.5056147575378418},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43029627203941345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39560291171073914},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2354726791381836}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9354461431503296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362480163574219},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.727279543876648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5660375356674194},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5240921378135681},{"id":"https://openalex.org/C93226319","wikidata":"https://www.wikidata.org/wiki/Q193137","display_name":"Differential (mechanical device)","level":2,"score":0.5056147575378418},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43029627203941345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39560291171073914},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2354726791381836},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3448505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3448505","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.800000011920929,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G1546623175","display_name":null,"funder_award_id":"61872194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2792302703","display_name":null,"funder_award_id":"KYCX21_0792","funder_id":"https://openalex.org/F4320334982","funder_display_name":"Basic Research Program of Jiangsu Province"},{"id":"https://openalex.org/G3078441299","display_name":null,"funder_award_id":"61902196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G478566191","display_name":null,"funder_award_id":"62102196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6672977052","display_name":null,"funder_award_id":"62102194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G88198729","display_name":null,"funder_award_id":"61872196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8862635703","display_name":null,"funder_award_id":"KYCX21_0787","funder_id":"https://openalex.org/F4320334982","funder_display_name":"Basic Research Program of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334982","display_name":"Basic Research Program of Jiangsu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2604247107","https://openalex.org/W2768947629","https://openalex.org/W2799741169","https://openalex.org/W2807219356","https://openalex.org/W2891236746","https://openalex.org/W2893702814","https://openalex.org/W2919115771","https://openalex.org/W2978153077","https://openalex.org/W2979558831","https://openalex.org/W2998722477","https://openalex.org/W3010301175","https://openalex.org/W3015447130","https://openalex.org/W3025125719","https://openalex.org/W3025313534","https://openalex.org/W3027747421","https://openalex.org/W3044515030","https://openalex.org/W3086419524","https://openalex.org/W3101117497","https://openalex.org/W3105324058","https://openalex.org/W3130982961","https://openalex.org/W3136873430","https://openalex.org/W3160361541","https://openalex.org/W3173999565","https://openalex.org/W3187356014","https://openalex.org/W3195772988","https://openalex.org/W3200636880","https://openalex.org/W4205989500","https://openalex.org/W4206338773","https://openalex.org/W4213225422","https://openalex.org/W4220890517","https://openalex.org/W4225880911","https://openalex.org/W4226020799","https://openalex.org/W4226158669","https://openalex.org/W4226347958","https://openalex.org/W4226373360","https://openalex.org/W4285107739","https://openalex.org/W4285135937","https://openalex.org/W4285272339","https://openalex.org/W4285299229","https://openalex.org/W4293370878","https://openalex.org/W4310699669","https://openalex.org/W4380320500","https://openalex.org/W4387458975","https://openalex.org/W6675401909","https://openalex.org/W6739879593","https://openalex.org/W6755276895"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W2989932438","https://openalex.org/W4387297750","https://openalex.org/W2186333919"],"abstract_inverted_index":{"In":[0,74],"the":[1,49,115,121,142,161,166,201],"Industrial":[2],"Internet":[3],"of":[4,12,26,52,71,144,163],"Things":[5],"(IIoT)":[6],"environment,":[7],"there":[8],"is":[9,94],"a":[10,61,68,79],"multitude":[11],"heterogeneous":[13],"industrial":[14,182],"edge":[15],"devices":[16],"(IEDs)":[17],"from":[18],"various":[19],"sources.":[20],"Real-time":[21],"monitoring":[22],"and":[23,86,105,111,130,168,185],"precise":[24],"prediction":[25,147],"its":[27,206,211],"operational":[28],"status":[29],"are":[30],"typically":[31],"essential.":[32],"However,":[33],"existing":[34],"deep":[35],"learning-based":[36],"models":[37],"often":[38],"encounter":[39],"overfitting":[40,88,117],"issues":[41],"due":[42],"to":[43,66,96,102,113,159],"complex":[44],"parameter":[45],"configurations.":[46],"Furthermore,":[47],"ensuring":[48],"comprehensive":[50],"performance":[51],"anomaly":[53,128],"event":[54],"forecasts":[55],"for":[56,120,214],"IEDs":[57],"has":[58],"emerged":[59],"as":[60],"pressing":[62],"issue":[63],"requiring":[64],"resolution":[65],"accommodate":[67],"wider":[69],"range":[70],"practical":[72],"applications.":[73,216],"this":[75,135],"article,":[76],"we":[77,137],"introduce":[78],"novel":[80],"multibranch":[81],"long":[82],"short":[83],"term":[84],"memory":[85],"differential":[87,116],"mitigation":[89,118],"scheme":[90,93],"(MuLDOM).":[91],"This":[92,156],"designed":[95],"achieve":[97],"two":[98],"primary":[99],"objectives:":[100],"1)":[101],"extract":[103],"features":[104],"denoise":[106],"multivariate":[107,152],"time":[108,153],"series":[109,154],"adaptively":[110],"2)":[112],"implement":[114],"algorithm":[119],"first":[122],"time,":[123],"thereby":[124],"enabling":[125],"robust":[126],"intelligent":[127],"detection":[129],"forecast":[131],"(IADF).":[132],"Expanding":[133],"on":[134,141,151,178],"framework,":[136],"provide":[138],"detailed":[139],"information":[140],"development":[143],"an":[145],"online":[146],"scoring":[148],"mechanism":[149,157],"based":[150],"data.":[155],"aims":[158],"enhance":[160],"efficiency":[162],"quantitatively":[164],"estimating":[165],"spatial":[167],"temporal":[169],"characteristics":[170],"associated":[171],"with":[172,189],"IEDs.":[173],"We":[174],"conducted":[175],"extensive":[176],"experiments":[177],"four":[179],"publicly":[180],"available":[181],"data":[183],"sets":[184],"compared":[186],"our":[187,198],"approach":[188],"nine":[190],"recent":[191,202],"baseline":[192],"methods.":[193],"The":[194],"results":[195],"indicate":[196],"that":[197],"method":[199],"surpasses":[200],"state-of-the-art":[203],"methods,":[204],"validating":[205],"effectiveness.":[207],"These":[208],"findings":[209],"underscore":[210],"significant":[212],"potential":[213],"real-world":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}