{"id":"https://openalex.org/W4408323902","doi":"https://doi.org/10.1109/tnnls.2025.3542719","title":"Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection","display_name":"Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4408323902","doi":"https://doi.org/10.1109/tnnls.2025.3542719","pmid":"https://pubmed.ncbi.nlm.nih.gov/40067732"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3542719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3542719","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":"https://openalex.org/A5046553747","display_name":"Chuang Wang","orcid":"https://orcid.org/0000-0001-8938-9312"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuang Wang","raw_affiliation_strings":["Artificial Intelligence Energy Research Institute and Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8938-9312","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute and Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699858","display_name":"Zidong Wang","orcid":"https://orcid.org/0000-0002-9576-7401"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zidong Wang","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9576-7401","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064660687","display_name":"Hongli Dong","orcid":"https://orcid.org/0000-0001-8531-6757"},"institutions":[{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Dong","raw_affiliation_strings":["Artificial Intelligence Energy Research Institute and Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8531-6757","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute and Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I921716337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059618628","display_name":"Stanislao Lauria","orcid":"https://orcid.org/0000-0003-1954-1547"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stanislao Lauria","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1954-1547","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519817","display_name":"Weibo Liu","orcid":"https://orcid.org/0000-0002-8169-3261"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weibo Liu","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8169-3261","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377932","display_name":"Yiming Wang","orcid":"https://orcid.org/0000-0002-4390-5796"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yiming Wang","raw_affiliation_strings":["School of Psychology and Neuroscience, University of Glasgow, Glasgow, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4390-5796","affiliations":[{"raw_affiliation_string":"School of Psychology and Neuroscience, University of Glasgow, Glasgow, U.K","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088293925","display_name":"Futra Fadzil","orcid":null},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Futra Fadzil","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100375376","display_name":"Xiaohui Liu","orcid":"https://orcid.org/0000-0003-1589-1267"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaohui Liu","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1589-1267","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Middlesex, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5046553747"],"corresponding_institution_ids":["https://openalex.org/I921716337"],"apc_list":null,"apc_paid":null,"fwci":75.6547,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99925337,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"8","first_page":"14479","last_page":"14492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9958999752998352,"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":0.9958999752998352,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9276999831199646,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/adversarial-system","display_name":"Adversarial system","score":0.78461092710495},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5731619000434875},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5331282615661621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5200214385986328},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.516595721244812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48075100779533386},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4518345296382904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27330273389816284},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12912556529045105},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.12026557326316833},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09892576932907104},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0875062346458435},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.049819737672805786}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.78461092710495},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5731619000434875},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5331282615661621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5200214385986328},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.516595721244812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48075100779533386},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4518345296382904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27330273389816284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12912556529045105},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.12026557326316833},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09892576932907104},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0875062346458435},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.049819737672805786}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2025.3542719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3542719","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:40067732","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40067732","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},{"id":"pmh:oai:bura.brunel.ac.uk:2438/30887","is_oa":false,"landing_page_url":"https://orcid.org/0000-0001-8938-9312","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3066835647","display_name":null,"funder_award_id":"U21A2019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3161209015","display_name":null,"funder_award_id":"2024MD753911","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6591871467","display_name":null,"funder_award_id":"0000DONOTUSETHIS0000.K","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6708030344","display_name":null,"funder_award_id":"869529","funder_id":"https://openalex.org/F4320326596","funder_display_name":"Foundation for Biomedical Research and Innovation"},{"id":"https://openalex.org/G8874280279","display_name":null,"funder_award_id":"62403119","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320326596","display_name":"Foundation for Biomedical Research and Innovation","ror":"https://ror.org/05xe40a72"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2015640273","https://openalex.org/W2105482032","https://openalex.org/W2604847698","https://openalex.org/W2911200746","https://openalex.org/W2932021675","https://openalex.org/W2946084162","https://openalex.org/W3036678194","https://openalex.org/W3083595256","https://openalex.org/W3109521448","https://openalex.org/W3112157188","https://openalex.org/W3136173905","https://openalex.org/W3175938759","https://openalex.org/W3177318507","https://openalex.org/W3190284897","https://openalex.org/W3213920736","https://openalex.org/W4205650351","https://openalex.org/W4210665879","https://openalex.org/W4220756142","https://openalex.org/W4288770702","https://openalex.org/W4291653319","https://openalex.org/W4306645406","https://openalex.org/W4309041555","https://openalex.org/W4309454235","https://openalex.org/W4309951073","https://openalex.org/W4312835804","https://openalex.org/W4315646692","https://openalex.org/W4319068978","https://openalex.org/W4321479797","https://openalex.org/W4361011496","https://openalex.org/W4361200002","https://openalex.org/W4362612168","https://openalex.org/W4366377753","https://openalex.org/W4367549634","https://openalex.org/W4376479254","https://openalex.org/W4378805132","https://openalex.org/W4382203079","https://openalex.org/W4386097946","https://openalex.org/W4387740675","https://openalex.org/W4393930864","https://openalex.org/W4396513623","https://openalex.org/W4396703971","https://openalex.org/W4399319353","https://openalex.org/W4402900048","https://openalex.org/W4402929218","https://openalex.org/W6749825310","https://openalex.org/W6784835917","https://openalex.org/W6797155008","https://openalex.org/W6797297377","https://openalex.org/W6802061597","https://openalex.org/W6810637551","https://openalex.org/W6839200773","https://openalex.org/W6842105513","https://openalex.org/W6843154862","https://openalex.org/W6845625448","https://openalex.org/W6846825190","https://openalex.org/W6851690559","https://openalex.org/W6857279128"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Multivariate":[0],"time":[1,48,161],"series":[2],"forecasting":[3,64,108,247],"(MTSF)":[4],"is":[5,110,117,209],"of":[6,14,19,28,38,74,87,94,126,137,148,173,186,190,237],"significant":[7],"importance":[8],"in":[9,34,113],"the":[10,26,32,36,43,54,58,71,75,91,95,103,124,135,138,146,160,171,184,193,199,235,250],"enhancement":[11],"and":[12,31,90,163,169,233,256],"optimization":[13],"real-world":[15,260],"applications.":[16,261],"The":[17],"task":[18],"MTSF":[20],"poses":[21],"substantial":[22],"challenges":[23],"due":[24],"to":[25,61,77,155,164,222],"unpredictability":[27],"temporal":[29],"patterns":[30],"complexity":[33],"modeling":[35],"influence":[37],"all":[39],"nonpredictive":[40],"sequences":[41],"on":[42],"target":[44],"sequence":[45,129,140],"at":[46],"different":[47],"stages.":[49],"Recent":[50],"research":[51],"has":[52],"demonstrated":[53],"potential":[55,224],"held":[56],"by":[57,119,226],"Transformer":[59,76],"algorithm":[60],"augment":[62],"long-term":[63],"capability.":[65],"However,":[66],"certain":[67],"obstacles":[68],"considerably":[69],"obstruct":[70],"direct":[72],"application":[73],"MTSF,":[78],"such":[79],"as":[80],"an":[81,105,174,180],"unsuitable":[82],"embedding":[83,130],"method,":[84,177],"inadequate":[85],"consideration":[86],"intervariable":[88,167],"associations,":[89],"intrinsic":[92],"restriction":[93],"point-wise":[96],"objective":[97],"function.":[98],"To":[99],"overcome":[100],"these":[101],"challenges,":[102],"Fusionformer,":[104],"effective":[106],"Transformer-based":[107],"model,":[109],"put":[111],"forth":[112],"this":[114],"article,":[115],"which":[116,220],"characterized":[118],"three":[120],"distinctive":[121],"features:":[122],"1)":[123],"introduction":[125],"a":[127,149,203],"segment-wise":[128],"(SWSE)":[131],"method":[132,208],"allows":[133],"for":[134,211,259],"conversion":[136],"input":[139],"into":[141],"multiple":[142],"informative":[143],"segments;":[144],"2)":[145],"implementation":[147],"fusion":[150],"attention":[151],"mechanism":[152],"(FAM),":[153],"designed":[154],"capture":[156],"predominant":[157],"features":[158],"across":[159],"dimension":[162],"model":[165],"intricate":[166],"dependencies;":[168],"3)":[170],"development":[172],"adversarial":[175],"learning":[176,185],"equipped":[178],"with":[179],"auxiliary":[181],"discriminator,":[182],"facilitates":[183],"data":[187],"distribution,":[188],"instead":[189],"progressively":[191],"correcting":[192],"prediction":[194],"error,":[195],"thus":[196],"substantially":[197],"enhancing":[198],"MTSF's":[200],"accuracy.":[201],"Furthermore,":[202],"Fusionformer-based":[204],"risk":[205],"assessment":[206],"(FRA)":[207],"structured":[210],"open-pit":[212],"mine":[213],"slope":[214,230],"failure":[215],"early":[216],"warning":[217],"issue":[218],"(SFEW),":[219],"aims":[221],"prevent":[223],"disasters":[225],"accurately":[227],"predicting":[228],"future":[229],"movement":[231],"trends":[232],"assessing":[234],"probabilities":[236],"landslide":[238],"occurrences.":[239],"Experimental":[240],"outcomes":[241],"validate":[242],"that":[243],"Fusionformer":[244],"outperforms":[245],"existing":[246],"methods,":[248],"while":[249],"FRA":[251],"framework":[252],"provides":[253],"valuable":[254],"insights":[255],"practical":[257],"guidance":[258]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":33}],"updated_date":"2026-05-26T13:28:51.108037","created_date":"2025-10-10T00:00:00"}