{"id":"https://openalex.org/W7154352510","doi":"https://doi.org/10.48550/arxiv.2604.10045","title":"Daily Predictions of F10.7 and F30 Solar Indices with Deep Learning","display_name":"Daily Predictions of F10.7 and F30 Solar Indices with Deep Learning","publication_year":2026,"publication_date":"2026-04-11","ids":{"openalex":"https://openalex.org/W7154352510","doi":"https://doi.org/10.48550/arxiv.2604.10045"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10045","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10045","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.10045","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072694231","display_name":"Zhenduo Wang","orcid":"https://orcid.org/0000-0002-4318-6963"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhenduo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001819562","display_name":"Yasser Abduallah","orcid":"https://orcid.org/0000-0003-0792-2270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abduallah, Yasser","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133613637","display_name":"Jason T. L. Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jason T. L.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133614569","display_name":"Haimin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haimin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133589641","display_name":"Yan Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128395010","display_name":"Vasyl Yurchyshyn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yurchyshyn, Vasyl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081226122","display_name":"Vincent Oria","orcid":"https://orcid.org/0000-0003-4345-243X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oria, Vincent","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007934204","display_name":"Khalid A. Alobaid","orcid":"https://orcid.org/0009-0007-4731-2772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alobaid, Khalid A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133610449","display_name":"Xiaoli Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Xiaoli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"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":0.8464999794960022,"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":0.8464999794960022,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.07180000096559525,"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/T10159","display_name":"Ionosphere and magnetosphere dynamics","score":0.039500001817941666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/radiation","display_name":"Radiation","score":0.3894999921321869},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3808000087738037},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.3619999885559082},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"Solar irradiance","score":0.3479999899864197},{"id":"https://openalex.org/keywords/atmosphere","display_name":"Atmosphere (unit)","score":0.3321000039577484},{"id":"https://openalex.org/keywords/ultraviolet","display_name":"Ultraviolet","score":0.26980000734329224}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5157999992370605},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.44119998812675476},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.4172999858856201},{"id":"https://openalex.org/C153385146","wikidata":"https://www.wikidata.org/wiki/Q18335","display_name":"Radiation","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33719998598098755},{"id":"https://openalex.org/C65440619","wikidata":"https://www.wikidata.org/wiki/Q177974","display_name":"Atmosphere (unit)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C2776798109","wikidata":"https://www.wikidata.org/wiki/Q11391","display_name":"Ultraviolet","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C6260449","wikidata":"https://www.wikidata.org/wiki/Q41364","display_name":"Wavelength","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C2987742019","wikidata":"https://www.wikidata.org/wiki/Q11391","display_name":"Ultraviolet radiation","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10045","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10045","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10045","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10045","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.7036671042442322}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,92,109],"F10.7":[1,28,87],"and":[2,17,51,88,122,130,146],"F30":[3,47,89,172],"solar":[4,8,26,36,60,90,173],"indices":[5],"are":[6,22],"the":[7,33,41,54,73,86,102,119,151,161,171],"radio":[9],"fluxes":[10],"measured":[11],"at":[12],"wavelengths":[13],"of":[14,25,35,44,56,85,101,153],"10.7":[15],"cm":[16],"30":[18],"cm,":[19],"respectively,":[20],"which":[21],"key":[23],"indicators":[24],"activity.":[27],"is":[29,48,95,160],"valuable":[30],"for":[31,79,113,150],"explaining":[32],"impact":[34],"ultraviolet":[37],"(UV)":[38],"radiation":[39],"on":[40],"upper":[42],"atmosphere":[43],"Earth,":[45],"while":[46],"more":[49],"sensitive":[50],"could":[52],"improve":[53],"reaction":[55],"thermospheric":[57],"density":[58],"to":[59,81,97,156,169],"stimulation.":[61],"In":[62],"this":[63,159],"study,":[64],"we":[65],"present":[66],"a":[67],"new":[68],"deep":[69,147,164],"learning":[70,148,165],"model,":[71],"named":[72],"Solar":[74],"Index":[75],"Network,":[76],"or":[77],"SINet":[78,93,114,138],"short,":[80],"predict":[82,170],"daily":[83],"values":[84,104],"indices.":[91],"model":[94],"designed":[96],"make":[98],"medium-term":[99],"predictions":[100],"index":[103],"(1-60":[105],"days":[106],"in":[107],"advance).":[108],"observed":[110],"data":[111],"used":[112,168],"training":[115],"were":[116],"taken":[117],"from":[118],"National":[120],"Oceanic":[121],"Atmospheric":[123],"Administration":[124],"(NOAA)":[125],"as":[126,128],"well":[127],"Toyokawa":[129],"Nobeyama":[131],"facilities.":[132],"Our":[133],"experimental":[134],"results":[135],"show":[136],"that":[137],"performs":[139],"better":[140],"than":[141],"five":[142],"closely":[143],"related":[144],"statistical":[145],"methods":[149],"prediction":[152],"F10.7.":[154],"Furthermore,":[155],"our":[157],"knowledge,":[158],"first":[162],"time":[163],"has":[166],"been":[167],"index.":[174]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-15T00:00:00"}