{"id":"https://openalex.org/W4416626210","doi":"https://doi.org/10.48550/arxiv.2511.12955","title":"Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series","display_name":"Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4416626210","doi":"https://doi.org/10.48550/arxiv.2511.12955"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2511.12955","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.12955","pdf_url":"https://arxiv.org/pdf/2511.12955","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2511.12955","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114426778","display_name":"Onur Vural","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vural, Onur","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050715780","display_name":"Shah Muhammad Hamdi","orcid":"https://orcid.org/0000-0002-9303-7835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hamdi, Shah Muhammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010973892","display_name":"Souka\u00efna Filali Boubrahimi","orcid":"https://orcid.org/0000-0001-5693-6383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boubrahimi, Soukaina Filali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.8525000214576721,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.8525000214576721,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10159","display_name":"Ionosphere and magnetosphere dynamics","score":0.06849999725818634,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.02239999920129776,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/solar-flare","display_name":"Solar flare","score":0.7921000123023987},{"id":"https://openalex.org/keywords/flare","display_name":"Flare","score":0.6254000067710876},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.585099995136261},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4332999885082245},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.41850000619888306},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4104999899864197},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4099999964237213},{"id":"https://openalex.org/keywords/space-weather","display_name":"Space weather","score":0.3978999853134155}],"concepts":[{"id":"https://openalex.org/C185001636","wikidata":"https://www.wikidata.org/wiki/Q119830","display_name":"Solar flare","level":2,"score":0.7921000123023987},{"id":"https://openalex.org/C2779588948","wikidata":"https://www.wikidata.org/wiki/Q628261","display_name":"Flare","level":2,"score":0.6254000067710876},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.585099995136261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47519999742507935},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4332999885082245},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.41850000619888306},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40450000762939453},{"id":"https://openalex.org/C151325931","wikidata":"https://www.wikidata.org/wiki/Q584093","display_name":"Space weather","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C183682340","wikidata":"https://www.wikidata.org/wiki/Q2043698","display_name":"Solar physics","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3009999990463257},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2511.12955","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.12955","pdf_url":"https://arxiv.org/pdf/2511.12955","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2511.12955","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.12955","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2511.12955","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2511.12955","pdf_url":"https://arxiv.org/pdf/2511.12955","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multivariate":[0],"time":[1,41,109,154],"series":[2],"classification":[3],"is":[4],"increasingly":[5],"investigated":[6],"in":[7],"space":[8],"weather":[9],"research":[10],"as":[11,165],"a":[12,70,82,90,113,166,209],"means":[13],"to":[14,65,73,93,149,176],"predict":[15],"intense":[16,60,197],"solar":[17,33,56,188,213],"flare":[18,57,67,160,189,214],"events,":[19,68],"which":[20],"can":[21],"cause":[22],"widespread":[23],"disruptions":[24],"across":[25,46,125],"modern":[26],"technological":[27],"systems.":[28],"Magnetic":[29],"field":[30],"measurements":[31],"of":[32,55,115],"active":[34],"regions":[35],"are":[36,62,131,157],"converted":[37],"into":[38,142],"structured":[39],"multivariate":[40],"series,":[42,110],"enabling":[43,146],"predictive":[44,201],"modeling":[45],"segmented":[47],"observation":[48],"windows.":[49],"However,":[50],"the":[51,126,136,143,147,173,186],"inherently":[52],"imbalanced":[53],"nature":[54],"occurrences,":[58],"where":[59],"flares":[61,198],"rare":[63],"compared":[64],"minor":[66],"presents":[69,208],"significant":[71],"barrier":[72],"effective":[74],"learning.":[75],"To":[76],"address":[77],"this":[78],"challenge,":[79],"we":[80],"propose":[81],"novel":[83],"Global":[84],"Cross-Time":[85],"Attention":[86],"Fusion":[87],"(GCTAF)":[88],"architecture,":[89],"transformer-based":[91,206],"model":[92,148],"enhance":[94],"long-range":[95],"temporal":[96,123,144,169],"modeling.":[97],"Unlike":[98],"traditional":[99],"self-attention":[100],"mechanisms":[101],"that":[102,120,156,171,193,204],"rely":[103],"solely":[104],"on":[105,185],"local":[106],"interactions":[107],"within":[108],"GCTAF":[111,194],"injects":[112],"set":[114],"learnable":[116],"cross-attentive":[117],"global":[118],"tokens":[119,130],"summarize":[121],"salient":[122],"patterns":[124],"entire":[127],"sequence.":[128],"These":[129],"refined":[132],"through":[133],"cross-attention":[134],"with":[135],"input":[137],"sequence":[138],"and":[139,191,199],"fused":[140],"back":[141],"representation,":[145],"identify":[150],"globally":[151],"significant,":[152],"non-contiguous":[153],"points":[155],"critical":[158],"for":[159,212],"prediction.":[161],"This":[162],"mechanism":[163],"functions":[164],"dynamic":[167],"attention-driven":[168],"summarizer":[170],"augments":[172],"model's":[174],"capacity":[175],"capture":[177],"discriminative":[178],"flare-related":[179],"dynamics.":[180],"We":[181],"evaluate":[182],"our":[183],"approach":[184],"benchmark":[187],"dataset":[190],"show":[192],"effectively":[195],"detects":[196],"improves":[200],"performance,":[202],"demonstrating":[203],"refining":[205],"architectures":[207],"high-potential":[210],"alternative":[211],"prediction":[215],"tasks.":[216]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-11-19T00:00:00"}