{"id":"https://openalex.org/W3118283916","doi":"https://doi.org/10.1109/tase.2020.3040400","title":"Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data","display_name":"Adjusting Learning Depth in Nonnegative Latent Factorization of Tensors for Accurately Modeling Temporal Patterns in Dynamic QoS Data","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3118283916","doi":"https://doi.org/10.1109/tase.2020.3040400","mag":"3118283916"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2020.3040400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3040400","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5088955392","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-1348-5305"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]},{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Luo","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101551302","display_name":"Minzhi Chen","orcid":"https://orcid.org/0000-0002-2387-8428"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]},{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minzhi Chen","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047737556","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-4138-1239"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chinese Academy of Sciences, Chongqing, China","Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","Chongqing School, University of Chinese Academy of Sciences, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"Chongqing School, University of Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010873564","display_name":"Zhigang Liu","orcid":"https://orcid.org/0000-0002-3669-3764"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Liu","raw_affiliation_strings":["Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chinese Academy of Sciences, Chongqing, China","Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","Chongqing School, University of Chinese Academy of Sciences, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"raw_affiliation_string":"Chongqing School, University of Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101191958","display_name":"Huaqiang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqiang Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["MO","US"],"is_corresponding":false,"raw_author_name":"Mengchu Zhou","raw_affiliation_strings":["Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China","New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088955392"],"corresponding_institution_ids":["https://openalex.org/I2799850029","https://openalex.org/I4210123021"],"apc_list":null,"apc_paid":null,"fwci":9.2551,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.9879081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"18","issue":"4","first_page":"2142","last_page":"2155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9550999999046326,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/data-modeling","display_name":"Data modeling","score":0.5879791378974915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.555860698223114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5549641847610474},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4347992241382599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4329252541065216},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4172508418560028},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.4165727198123932},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4100706875324249},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3669450283050537},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.26285237073898315}],"concepts":[{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5879791378974915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.555860698223114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5549641847610474},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4347992241382599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4329252541065216},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4172508418560028},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.4165727198123932},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4100706875324249},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3669450283050537},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.26285237073898315},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2020.3040400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3040400","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7141752101","display_name":null,"funder_award_id":"cstc2019jcyjjqX0013","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7777850861","display_name":null,"funder_award_id":"61772493","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"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1615057313","https://openalex.org/W1626337535","https://openalex.org/W1682665945","https://openalex.org/W1753817908","https://openalex.org/W1999136078","https://openalex.org/W2002834872","https://openalex.org/W2006822005","https://openalex.org/W2008015434","https://openalex.org/W2024165284","https://openalex.org/W2030239032","https://openalex.org/W2056398894","https://openalex.org/W2060017308","https://openalex.org/W2072191819","https://openalex.org/W2073178357","https://openalex.org/W2078677240","https://openalex.org/W2080320419","https://openalex.org/W2091449379","https://openalex.org/W2099779699","https://openalex.org/W2099866409","https://openalex.org/W2104185402","https://openalex.org/W2111346360","https://openalex.org/W2113501324","https://openalex.org/W2119264846","https://openalex.org/W2119523409","https://openalex.org/W2128454338","https://openalex.org/W2132970963","https://openalex.org/W2137771166","https://openalex.org/W2139762693","https://openalex.org/W2141002303","https://openalex.org/W2144920235","https://openalex.org/W2148175243","https://openalex.org/W2162220364","https://openalex.org/W2164278908","https://openalex.org/W2165949563","https://openalex.org/W2166735191","https://openalex.org/W2278138779","https://openalex.org/W2295458067","https://openalex.org/W2317971795","https://openalex.org/W2325979489","https://openalex.org/W2342643507","https://openalex.org/W2358992035","https://openalex.org/W2390938437","https://openalex.org/W2410640132","https://openalex.org/W2469230926","https://openalex.org/W2473015933","https://openalex.org/W2528907418","https://openalex.org/W2529756677","https://openalex.org/W2540224322","https://openalex.org/W2571268788","https://openalex.org/W2571654287","https://openalex.org/W2606637053","https://openalex.org/W2611027303","https://openalex.org/W2735496307","https://openalex.org/W2752190933","https://openalex.org/W2768931586","https://openalex.org/W2787680366","https://openalex.org/W2799341537","https://openalex.org/W2829536470","https://openalex.org/W2884048157","https://openalex.org/W2901144993","https://openalex.org/W2906300688","https://openalex.org/W2907017794","https://openalex.org/W2909853325","https://openalex.org/W2928382658","https://openalex.org/W2941769495","https://openalex.org/W2950723285","https://openalex.org/W2952113380","https://openalex.org/W2963122061","https://openalex.org/W2966515423","https://openalex.org/W2999004045","https://openalex.org/W2999127310","https://openalex.org/W3013163434","https://openalex.org/W3019396605","https://openalex.org/W4249267926","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W6746501012"],"related_works":["https://openalex.org/W4399648768","https://openalex.org/W2101428145","https://openalex.org/W4297433825","https://openalex.org/W4318261659","https://openalex.org/W2122823937","https://openalex.org/W3215340255","https://openalex.org/W2048687561","https://openalex.org/W4312861905","https://openalex.org/W2611311248","https://openalex.org/W1971084186"],"abstract_inverted_index":{"A":[0],"nonnegative":[1,28,107,221,234,321],"latent":[2,26,222,232],"factorization":[3,223],"of":[4,70,196,224],"tensors":[5,225],"(NLFT)":[6,226],"model":[7,52,73,128,227,252,333],"precisely":[8],"represents":[9,335],"the":[10,65,68,122,171,275,296,308,327],"temporal":[11,172,188,203],"patterns":[12,173],"hidden":[13,174],"in":[14,39,46,157,175,258,299,351],"multichannel":[15,197,336],"data":[16,116,136,153,166,352,358],"emerging":[17],"from":[18,255],"various":[19,158],"applications.":[20,160],"It":[21,161,338],"often":[22,155],"adopts":[23],"a":[24,82,92,104,126,139,165,193,213,220,230,289,318,331],"single":[25,231],"factor-dependent,":[27,233],"and":[29,74,141,181,235,287,304,343],"multiplicative":[30,236,297],"update":[31,237],"on":[32,89,96,113,138,186,229,238,313],"tensor":[33,97,143,239],"(SLF-NMUT)":[34,240],"algorithm.":[35,241],"However,":[36],"learning":[37,76,244,276,301,309],"depth":[38,77,245,310],"this":[40,59,61,90,269,271,315],"algorithm":[41,98],"is":[42,99,162,192,246],"not":[43,247],"adjustable,":[44,248],"resulting":[45],"frequent":[47],"training":[48,260],"fluctuation":[49],"or":[50,262],"poor":[51],"convergence":[53],"caused":[54],"by":[55,218],"overshooting.":[56],"To":[57,199,267],"address":[58,268],"issue,":[60,270],"study":[62,272,316],"carefully":[63,273],"investigates":[64,274],"connections":[66],"between":[67],"performance":[69,350],"an":[71,205,250,279,285],"NLFT":[72,124,251,280,329],"its":[75,243,259],"via":[78],"SLF-NMUT":[79,286],"to":[80,150,168,265,347],"present":[81],"joint":[83,290],"learning-depth-adjusting":[84,291],"scheme":[85,294],"for":[86,164,177,278],"it.":[87],"Based":[88,312],"scheme,":[91],"Depth-adjusted":[93],"Multiplicative":[94],"Update":[95],"innovatively":[100],"proposed,":[101],"thereby":[102,306],"achieving":[103],"novel":[105,319],"depth-adjusted":[106,320],"latent-factorization-of-tensors":[108,322],"(DNL)":[109,323],"model.":[110,324],"Empirical":[111],"studies":[112],"two":[114],"industrial":[115,340],"sets":[117],"demonstrate":[118],"that":[119],"compared":[120],"with":[121,144,326],"state-of-the-art":[123],"models,":[125,330],"DNL":[127,332],"achieves":[129],"significant":[130],"accuracy":[131],"gain":[132],"when":[133],"performing":[134],"missing":[135,357],"estimation":[137,359],"high-dimensional":[140],"incomplete":[142],"high":[145,349],"efficiency.":[146],"<italic":[147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[149],"Practitioners</i>":[151],"\u2014Multichannel":[152],"are":[154],"encountered":[156],"big-data-related":[159],"vital":[163],"analyzer":[167,206],"correctly":[169,200,208],"capture":[170],"them":[176],"efficient":[178],"knowledge":[179],"acquisition":[180],"representation.":[182],"This":[183,293],"article":[184],"focuses":[185],"analyzing":[187],"QoS":[189],"data,":[190],"which":[191],"representative":[194],"kind":[195],"data.":[198,337],"extract":[201],"their":[202,210],"patterns,":[204],"should":[207],"describe":[209],"nonnegativity.":[211],"Such":[212],"purpose":[214],"can":[215,344],"be":[216,345],"achieved":[217],"building":[219],"relying":[228],"But":[242],"making":[249,307],"frequently":[253],"suffer":[254],"severe":[256],"fluctuations":[257],"error":[261],"even":[263],"fail":[264],"converge.":[266],"rules":[277,302],"model\u2019s":[281],"decision":[282],"parameters":[283],"using":[284],"proposes":[288],"scheme.":[292],"manipulates":[295],"terms":[298],"SLF-NMUT-based":[300],"linearly":[303],"exponentially,":[305],"adjustable.":[311],"it,":[314],"builds":[317],"Compared":[325],"existing":[328],"better":[334],"meets":[339],"needs":[341],"well":[342],"used":[346],"achieve":[348],"analysis":[353],"tasks":[354],"like":[355],"temporal-aware":[356]},"counts_by_year":[{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}