{"id":"https://openalex.org/W4410358689","doi":"https://doi.org/10.1109/jiot.2025.3569950","title":"CFTD: Core Fusion Time Series Dense Encoder for Intelligent Prediction With Edge AI in Social IoT Systems","display_name":"CFTD: Core Fusion Time Series Dense Encoder for Intelligent Prediction With Edge AI in Social IoT Systems","publication_year":2025,"publication_date":"2025-05-14","ids":{"openalex":"https://openalex.org/W4410358689","doi":"https://doi.org/10.1109/jiot.2025.3569950"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3569950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3569950","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":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/CFTD_Core_Fusion_Time_Series_Dense_Encoder_for_Intelligent_Prediction_With_Edge_AI_in_Social_IoT_Systems/30454487","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026907508","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0002-9873-8753"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-9873-8753","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056569663","display_name":"Renyu Zhang","orcid":"https://orcid.org/0000-0002-7750-9353"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renyu Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ziheng Suo","orcid":null},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ziheng Suo","raw_affiliation_strings":["Department of Computer Science, Durham University, Durham, U.K","Department of Computer Science, Durham University, Durham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, U.K","institution_ids":["https://openalex.org/I190082696"]},{"raw_affiliation_string":"Department of Computer Science, Durham University, Durham, UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0001-7417-9689"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-7417-9689","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002822427","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0003-1013-4507"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, U.K","Department of Computer Science, University of Exeter, Exeter, UK"],"raw_orcid":"https://orcid.org/0000-0003-1013-4507","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100770003","display_name":"Geyong Min","orcid":"https://orcid.org/0000-0003-1395-7314"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Geyong Min","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, U.K","Department of Computer Science, University of Exeter, Exeter, UK"],"raw_orcid":"https://orcid.org/0000-0003-1395-7314","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9363,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85229314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":"17","first_page":"34979","last_page":"34991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9406999945640564,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9406999945640564,"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/T10320","display_name":"Neural Networks and Applications","score":0.921500027179718,"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":0.9049000144004822,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8083102703094482},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.623001754283905},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6199693083763123},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6075729131698608},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5433768033981323},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5246551036834717},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47733575105667114},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4706798195838928},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4317486584186554},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41478750109672546},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3793420195579529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3253137469291687},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.22381216287612915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20808449387550354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18355360627174377},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08979964256286621}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083102703094482},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.623001754283905},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6199693083763123},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6075729131698608},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5433768033981323},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5246551036834717},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47733575105667114},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4706798195838928},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4317486584186554},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41478750109672546},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3793420195579529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3253137469291687},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.22381216287612915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20808449387550354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18355360627174377},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08979964256286621},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2025.3569950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3569950","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"},{"id":"pmh:oai:figshare.com:article/30454487","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/CFTD_Core_Fusion_Time_Series_Dense_Encoder_for_Intelligent_Prediction_With_Edge_AI_in_Social_IoT_Systems/30454487","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/30454487","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/CFTD_Core_Fusion_Time_Series_Dense_Encoder_for_Intelligent_Prediction_With_Edge_AI_in_Social_IoT_Systems/30454487","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1385689526","display_name":null,"funder_award_id":"62472003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G167982814","display_name":null,"funder_award_id":"U23A20308","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1765855239","display_name":null,"funder_award_id":"62202008","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1984255960","https://openalex.org/W2008056655","https://openalex.org/W2126568761","https://openalex.org/W2338714606","https://openalex.org/W2747599906","https://openalex.org/W2980994438","https://openalex.org/W3036628101","https://openalex.org/W3048922006","https://openalex.org/W3177318507","https://openalex.org/W4205252897","https://openalex.org/W4206210213","https://openalex.org/W4210902003","https://openalex.org/W4214940841","https://openalex.org/W4226469329","https://openalex.org/W4234060530","https://openalex.org/W4292825803","https://openalex.org/W4295789345","https://openalex.org/W4315481265","https://openalex.org/W4318586089","https://openalex.org/W4382203079","https://openalex.org/W4390938911","https://openalex.org/W4394924926","https://openalex.org/W4401013118","https://openalex.org/W4402389271","https://openalex.org/W6638545294","https://openalex.org/W6743485176","https://openalex.org/W6752807305","https://openalex.org/W6797155008","https://openalex.org/W6810637551","https://openalex.org/W6846825190","https://openalex.org/W6851690559","https://openalex.org/W6853066720","https://openalex.org/W6856269248","https://openalex.org/W6857279128","https://openalex.org/W6865079244","https://openalex.org/W6868320316"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"The":[0,14],"rapid":[1],"development":[2],"of":[3,68],"the":[4,12,121,158],"Internet-of-Things":[5,16],"(IoT)":[6],"has":[7],"transformed":[8],"human":[9],"interaction":[10],"with":[11,40],"world.":[13],"Social":[15],"(SIoT)":[17],"integrates":[18],"social,":[19],"emotional,":[20],"and":[21,48],"behavioral":[22],"aspects":[23],"into":[24],"traditional":[25],"IoT,":[26],"creating":[27],"an":[28],"intelligent":[29],"network":[30],"that":[31,147],"connects":[32],"various":[33],"smart":[34],"devices.":[35],"By":[36],"combining":[37],"Edge":[38],"Computing":[39],"Artificial":[41],"Intelligence":[42],"(AI),":[43],"data":[44],"can":[45],"be":[46],"processed":[47],"analyzed":[49],"directly":[50],"on":[51,75,143],"edge":[52,59,76],"devices,":[53],"improving":[54],"processing":[55],"efficiency.":[56],"However,":[57],"limited":[58],"resources":[60],"hinder":[61],"local":[62],"AI":[63],"training,":[64],"requiring":[65],"cloud-based":[66],"training":[67],"high-precision":[69],"models,":[70],"which":[71,130],"are":[72,87],"then":[73],"deployed":[74],"devices":[77],"for":[78,90,137],"inference.":[79],"In":[80],"time":[81,99],"series":[82],"forecasting,":[83],"Multilayer":[84],"Perceptrons":[85],"(MLPs)":[86],"widely":[88],"used":[89],"their":[91],"computational":[92,113],"efficiency":[93],"but":[94,111],"often":[95],"overlook":[96],"correlations":[97],"between":[98],"series.":[100],"Some":[101],"models":[102],"adopt":[103],"channel":[104,139],"mixing":[105],"mechanisms":[106],"to":[107,157],"improve":[108],"modeling":[109],"capability":[110],"increase":[112],"complexity.":[114],"To":[115],"address":[116],"this":[117,148],"problem,":[118],"we":[119],"propose":[120],"Core":[122,133],"Fusion":[123],"Time":[124],"Series":[125],"Dense":[126],"Encoder":[127],"(CFTD)":[128],"model,":[129],"incorporates":[131],"a":[132],"Extract-Distribute":[134],"(COED)":[135],"module":[136],"efficient":[138],"fusion.":[140],"Extensive":[141],"experiments":[142],"real-world":[144],"datasets":[145],"demonstrate":[146],"novel":[149],"CFTD":[150],"model":[151],"achieves":[152],"excellent":[153],"predictive":[154],"performance":[155],"compared":[156],"state-of-the-art":[159],"models.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}