{"id":"https://openalex.org/W3020543937","doi":"https://doi.org/10.1109/access.2020.2988797","title":"A Time Convolutional Network Based Outlier Detection for Multidimensional Time Series in Cyber-Physical-Social Systems","display_name":"A Time Convolutional Network Based Outlier Detection for Multidimensional Time Series in Cyber-Physical-Social Systems","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3020543937","doi":"https://doi.org/10.1109/access.2020.2988797","mag":"3020543937"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2988797","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988797","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072131.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072131.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103213221","display_name":"Chao Meng","orcid":"https://orcid.org/0000-0001-7435-4774"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Meng","raw_affiliation_strings":["College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China","College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-7435-4774","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045512797","display_name":"Xuesong Jiang","orcid":"https://orcid.org/0000-0002-9339-8745"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Song Jiang","raw_affiliation_strings":["College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-9339-8745","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038780727","display_name":"Xiumei Wei","orcid":"https://orcid.org/0000-0003-2214-0576"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Mei Wei","raw_affiliation_strings":["College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-2214-0576","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101619207","display_name":"Tao Wei","orcid":"https://orcid.org/0000-0002-7983-3683"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wei","raw_affiliation_strings":["College of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-7983-3683","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0102,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.89111852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"74933","last_page":"74942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9445000290870667,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7846985459327698},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7667002081871033},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6983551979064941},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6566804051399231},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6505776047706604},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6429098844528198},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5582524538040161},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.5060481429100037},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4969837963581085},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46972644329071045},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4580598771572113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3625805377960205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3002047836780548},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.20063063502311707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846985459327698},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7667002081871033},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6983551979064941},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6566804051399231},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6505776047706604},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6429098844528198},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5582524538040161},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.5060481429100037},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4969837963581085},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46972644329071045},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4580598771572113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3625805377960205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3002047836780548},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.20063063502311707},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2988797","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988797","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072131.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a016c152b15648ecbca557d2a8db498e","is_oa":true,"landing_page_url":"https://doaj.org/article/a016c152b15648ecbca557d2a8db498e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 74933-74942 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2988797","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2988797","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09072131.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3020543937.pdf","grobid_xml":"https://content.openalex.org/works/W3020543937.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1523493493","https://openalex.org/W1665214252","https://openalex.org/W1992546074","https://openalex.org/W2038762701","https://openalex.org/W2068302187","https://openalex.org/W2095705004","https://openalex.org/W2103165366","https://openalex.org/W2117671523","https://openalex.org/W2127357529","https://openalex.org/W2131904035","https://openalex.org/W2144182447","https://openalex.org/W2186290821","https://openalex.org/W2191950414","https://openalex.org/W2194775991","https://openalex.org/W2201427885","https://openalex.org/W2284050935","https://openalex.org/W2295598076","https://openalex.org/W2345406336","https://openalex.org/W2520634214","https://openalex.org/W2566615221","https://openalex.org/W2578339457","https://openalex.org/W2604524253","https://openalex.org/W2605737181","https://openalex.org/W2767312243","https://openalex.org/W2770198223","https://openalex.org/W2785409760","https://openalex.org/W2791950267","https://openalex.org/W2792764867","https://openalex.org/W2801396593","https://openalex.org/W2833324965","https://openalex.org/W2891536563","https://openalex.org/W2897138744","https://openalex.org/W2904222171","https://openalex.org/W2911200746","https://openalex.org/W2945306337","https://openalex.org/W2948975938","https://openalex.org/W2954613285","https://openalex.org/W2962736999","https://openalex.org/W2963685250","https://openalex.org/W2975649990","https://openalex.org/W2979740536","https://openalex.org/W2983539658","https://openalex.org/W3001393655","https://openalex.org/W3098759121","https://openalex.org/W3102476541","https://openalex.org/W4250837161","https://openalex.org/W4254182148","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6674330103","https://openalex.org/W6679539681","https://openalex.org/W6695676441","https://openalex.org/W6749825310","https://openalex.org/W6757165974"],"related_works":["https://openalex.org/W4287757193","https://openalex.org/W3034555105","https://openalex.org/W4220811423","https://openalex.org/W4362631710","https://openalex.org/W4206064467","https://openalex.org/W4385781987","https://openalex.org/W2238926016","https://openalex.org/W4226003894","https://openalex.org/W4289533840","https://openalex.org/W190094394"],"abstract_inverted_index":{"With":[0],"the":[1,4,153,163,170,176,186],"development":[2],"of":[3,10,44,81,95,139],"Cyber-Physical-Social":[5],"Systems(CPSS),":[6],"a":[7,58,92,107,117,147,158],"large":[8],"number":[9],"multidimensional":[11,72],"time":[12,60,73,111,128,155,160,172,193,202],"series":[13,61,74,112,129,156,173,194,203],"have":[14],"been":[15],"generated":[16],"in":[17,47,57,97,127,200],"today's":[18],"world,":[19],"such":[20,131],"as:":[21],"sensor":[22],"data":[23,37,56,83],"for":[24],"industrial":[25],"equipment":[26,134],"operation,":[27],"vehicle":[28],"driving":[29,137],"data,":[30,130,174],"and":[31,35,38,85,89,101,175],"cloud":[32],"server":[33],"operation":[34],"maintenance":[36],"so":[39],"on.":[40],"The":[41],"key":[42],"task":[43],"Cloud-Fog-Edge":[45,86],"Computing":[46,87],"managing":[48],"these":[49],"systems":[50],"is":[51,166,179,189],"how":[52],"to":[53,62,66,151,168,181,196],"detect":[54,125],"anomalous":[55],"specific":[59],"facilitate":[63],"operator":[64],"action":[65],"solve":[67],"potential":[68],"system":[69],"problems.":[70],"So":[71],"outlier":[75,183],"detection":[76,114],"become":[77],"an":[78],"important":[79],"direction":[80],"CPSS":[82],"mining":[84],"research,":[88],"it":[90],"has":[91],"wide":[93],"range":[94],"applications":[96],"industry,":[98],"finance,":[99],"medicine":[100],"other":[102],"fields.":[103],"This":[104],"paper":[105,144],"proposes":[106],"framework":[108,188],"called":[109],"Multidimensional":[110],"Outlier":[113],"based":[115],"on":[116],"Time":[118],"Convolutional":[119],"Network":[120],"AutoEncoder":[121],"(MOTCN-AE),":[122],"which":[123],"can":[124],"outliers":[126],"as":[132],"identifying":[133],"failures,":[135],"dangerous":[136],"behaviors":[138],"cars,":[140],"etc.":[141],"Specifically,":[142],"this":[143],"first":[145],"uses":[146],"feature":[148],"extraction":[149],"method":[150],"transform":[152],"original":[154],"into":[157],"feature-rich":[159,171],"series.":[161],"Second,":[162],"proposed":[164],"TCN-AE":[165],"used":[167,180],"reconstruct":[169],"reconstruction":[177],"error":[178],"calculate":[182],"scores.":[184],"Finally,":[185],"MOTCN-AE":[187],"validated":[190],"by":[191],"multiple":[192],"datasets":[195],"demonstrate":[197],"its":[198],"effectiveness":[199],"detecting":[201],"outliers.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
