{"id":"https://openalex.org/W4214883719","doi":"https://doi.org/10.1109/tnnls.2022.3140238","title":"QTT-DLSTM: A Cloud-Edge-Aided Distributed LSTM for Cyber\u2013Physical\u2013Social Big Data","display_name":"QTT-DLSTM: A Cloud-Edge-Aided Distributed LSTM for Cyber\u2013Physical\u2013Social Big Data","publication_year":2022,"publication_date":"2022-03-01","ids":{"openalex":"https://openalex.org/W4214883719","doi":"https://doi.org/10.1109/tnnls.2022.3140238","pmid":"https://pubmed.ncbi.nlm.nih.gov/35230953"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3140238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3140238","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xiaokang Wang","orcid":"https://orcid.org/0000-0002-0981-6204"},"institutions":[{"id":"https://openalex.org/I197191942","display_name":"St. Francis Xavier University","ror":"https://ror.org/01wcaxs37","country_code":"CA","type":"education","lineage":["https://openalex.org/I197191942"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xiaokang Wang","raw_affiliation_strings":["Department of Computer Science, Saint Francis Xavier University, Antigonish, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Saint Francis Xavier University, Antigonish, NS, Canada","institution_ids":["https://openalex.org/I197191942"]}]},{"author_position":"middle","author":{"id":null,"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":null,"display_name":"Ruixue Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixue Yuan","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I197191942","display_name":"St. Francis Xavier University","ror":"https://ror.org/01wcaxs37","country_code":"CA","type":"education","lineage":["https://openalex.org/I197191942"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Laurence T. Yang","raw_affiliation_strings":["Department of Computer Science, Saint Francis Xavier University, Antigonish, NS, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Saint Francis Xavier University, Antigonish, NS, Canada","institution_ids":["https://openalex.org/I197191942"]}]},{"author_position":"last","author":{"id":null,"display_name":"M. Jamal Deen","orcid":null},"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":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197191942"],"apc_list":null,"apc_paid":null,"fwci":8.6125,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.99040767,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"34","issue":"10","first_page":"7286","last_page":"7298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.22210000455379486,"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":0.22210000455379486,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.0738999992609024,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12127","display_name":"Software System Performance and Reliability","score":0.05689999833703041,"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/big-data","display_name":"Big data","score":0.8009999990463257},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6466000080108643},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.607699990272522},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5946999788284302},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.49779999256134033},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49149999022483826},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45260000228881836},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.40849998593330383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123999834060669},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8009999990463257},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6466000080108643},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.607699990272522},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5946999788284302},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5932999849319458},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.49779999256134033},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49149999022483826},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45260000228881836},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3718999922275543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35989999771118164},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C112118009","wikidata":"https://www.wikidata.org/wiki/Q4925872","display_name":"Data processing system","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C76831024","wikidata":"https://www.wikidata.org/wiki/Q5227096","display_name":"Data-intensive computing","level":4,"score":0.28029999136924744},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C24885549","wikidata":"https://www.wikidata.org/wiki/Q339678","display_name":"Distributed data store","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3140238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3140238","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35230953","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35230953","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3160825066","display_name":null,"funder_award_id":"62173023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6608322027","display_name":null,"funder_award_id":"92167108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7007940310","display_name":null,"funder_award_id":"61836001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7228007648","display_name":null,"funder_award_id":"2019YFB1705903","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1942601760","https://openalex.org/W1973207880","https://openalex.org/W1993482030","https://openalex.org/W2024165284","https://openalex.org/W2036133196","https://openalex.org/W2064675550","https://openalex.org/W2150355110","https://openalex.org/W2573003069","https://openalex.org/W2593805332","https://openalex.org/W2770198223","https://openalex.org/W2783675117","https://openalex.org/W2792152774","https://openalex.org/W2797790703","https://openalex.org/W2811266402","https://openalex.org/W2901166078","https://openalex.org/W2910886069","https://openalex.org/W2920714358","https://openalex.org/W2963015168","https://openalex.org/W2963838731","https://openalex.org/W2974843368","https://openalex.org/W2998908795","https://openalex.org/W3001393655","https://openalex.org/W3006670753","https://openalex.org/W3014792551","https://openalex.org/W3034190797","https://openalex.org/W3037764089","https://openalex.org/W3040694753","https://openalex.org/W6631190155","https://openalex.org/W6741042017"],"related_works":[],"abstract_inverted_index":{"Cyber-physical-social":[0],"systems":[1,10],"(CPSS),":[2],"an":[3,53],"emerging":[4],"cross-disciplinary":[5],"research":[6],"area,":[7],"combines":[8],"cyber-physical":[9],"(CPS)":[11],"with":[12,46,72],"social":[13,233],"networking":[14],"for":[15,22,40,59],"the":[16,66,95,104,130,140,160,169,177,188,194,204,208,211,226],"purpose":[17],"of":[18,30,69,99,106,190,200,210],"providing":[19],"personalized":[20],"services":[21],"humans.":[23],"CPSS":[24,41,47,60,100,132,161],"big":[25,48,101,133],"data,":[26,49,134,162],"recording":[27],"various":[28],"aspects":[29],"human":[31],"lives,":[32],"should":[33],"be":[34,83,137],"processed":[35,175],"to":[36,82,88,93,128,143,157,186],"mine":[37],"valuable":[38],"information":[39],"services.":[42],"To":[43],"efficiently":[44],"deal":[45],"artificial":[50],"intelligence":[51],"(AI),":[52],"increasingly":[54],"important":[55],"technology,":[56],"is":[57,118,126,155,184,215],"used":[58,127,156,185],"data":[61,102,166,174,202],"processing":[62,96,167],"and":[63,75,97,147,171,197,230],"analysis.":[64],"Meanwhile,":[65],"rapid":[67],"development":[68],"edge":[70,80],"devices":[71],"fast":[73],"processors":[74],"large":[76,198],"memories":[77],"allows":[78],"local":[79,172],"computing":[81,153,182],"a":[84,108,124,150,180,220,231],"powerful":[85],"real-time":[86],"complement":[87],"global":[89,164],"cloud":[90],"computing.":[91,148],"Therefore,":[92],"facilitate":[94,144],"analysis":[98],"from":[103],"perspective":[105],"multi-attributes,":[107],"cloud-edge-aided":[109],"quantized":[110],"tensor-train":[111],"distributed":[112,145,151,181],"long":[113],"short-term":[114],"memory":[115],"(QTT-DLSTM)":[116],"method":[117,214],"presented":[119],"in":[120,168,203],"this":[121],"article.":[122],"First,":[123],"tensor":[125],"represent":[129],"multi-attributes":[131],"which":[135],"will":[136],"decomposed":[138],"into":[139],"QTT":[141,205],"form":[142],"training":[146,191],"Second,":[149],"cloud-edge":[152],"model":[154],"systematically":[158],"process":[159,224],"including":[163],"large-scale":[165],"cloud,":[170],"small-scale":[173],"at":[176],"edge.":[178],"Third,":[179],"strategy":[183],"improve":[187],"efficiency":[189],"via":[192],"partitioning":[193],"weight":[195],"matrix":[196],"amounts":[199],"input":[201],"form.":[206],"Finally,":[207],"performance":[209],"proposed":[212],"QTT-DLSTM":[213],"evaluated":[216],"using":[217],"experiments":[218],"on":[219],"public":[221,232],"discrete":[222],"manufacturing":[223],"dataset,":[225,229],"Li-ion":[227],"battery":[228],"dataset.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":15}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-03-05T00:00:00"}
