{"id":"https://openalex.org/W4387344972","doi":"https://doi.org/10.31181/taci1120231","title":"Sunspot Occurrence Forecasting With Metaheuristic Optimized Recurrent Neural Networks","display_name":"Sunspot Occurrence Forecasting With Metaheuristic Optimized Recurrent Neural Networks","publication_year":2023,"publication_date":"2023-10-04","ids":{"openalex":"https://openalex.org/W4387344972","doi":"https://doi.org/10.31181/taci1120231"},"language":"en","primary_location":{"id":"doi:10.31181/taci1120231","doi":"https://doi.org/10.31181/taci1120231","is_oa":true,"landing_page_url":"https://doi.org/10.31181/taci1120231","pdf_url":"http://www.taci-journal.org/index.php/taci/article/download/1/5","source":{"id":"https://openalex.org/S4387997499","display_name":"Theoretical and Applied Computational Intelligence","issn_l":"3009-3325","issn":["3009-3325"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405266482","host_organization_name":"Scientific Oasis","host_organization_lineage":["https://openalex.org/I4405266482"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theoretical and Applied Computational Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.taci-journal.org/index.php/taci/article/download/1/5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104014642","display_name":"Kanchana Devi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kanchana Devi V","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology Chennai, Chennai 600127"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology Chennai, Chennai 600127","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077031438","display_name":"Joseph P. Mani","orcid":"https://orcid.org/0000-0002-3011-1735","observed_orcids":["https://orcid.org/0000-0002-3011-1735"]},"institutions":[{"id":"https://openalex.org/I4210131232","display_name":"Modern College of Business and Science","ror":"https://ror.org/02hvzvg02","country_code":"OM","type":"education","lineage":["https://openalex.org/I4210131232"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Joseph Mani","raw_affiliation_strings":["Mathematics And Computer Science, Modern College of Business And Science, Muscat, Oman"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics And Computer Science, Modern College of Business And Science, Muscat, Oman","institution_ids":["https://openalex.org/I4210131232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096380599","display_name":"Hotefa Shaker","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210131232","display_name":"Modern College of Business and Science","ror":"https://ror.org/02hvzvg02","country_code":"OM","type":"education","lineage":["https://openalex.org/I4210131232"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Hotefa Shaker","raw_affiliation_strings":["Mathematics And Computer Science, Modern College of Business And Science, Muscat, Oman"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics And Computer Science, Modern College of Business And Science, Muscat, Oman","institution_ids":["https://openalex.org/I4210131232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068911769","display_name":"Luka Jovanovi\u0107","orcid":"https://orcid.org/0000-0001-9402-7391","observed_orcids":["https://orcid.org/0000-0001-9402-7391"]},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Luka Jovanovic","raw_affiliation_strings":["Faculty of Technical Sciences, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Technical Sciences, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8004,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.84892981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"1","issue":"1","first_page":"15","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10251","display_name":"Solar and Space Plasma Dynamics","score":0.8163999915122986,"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":0.8163999915122986,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.07460000365972519,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.019300000742077827,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/solar-activity-prediction","display_name":"solar activity forecasting","score":0.8769999742507935},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.8650000095367432},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.9850000143051147},{"id":"https://openalex.org/keywords/neural-network-hyperparameter-optimization","display_name":"neural network hyperparameter optimization","score":0.7720000147819519},{"id":"https://openalex.org/keywords/solar-flares","display_name":"solar flares","score":0.8989999890327454},{"id":"https://openalex.org/keywords/space-weather","display_name":"space weather","score":0.7070000171661377},{"id":"https://openalex.org/keywords/solar-cycle","display_name":"solar cycle","score":0.5849999785423279}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.8237406015396118},{"id":"https://openalex.org/C197370839","wikidata":"https://www.wikidata.org/wiki/Q6582994","display_name":"Sunspot","level":3,"score":0.6608141660690308},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.637460470199585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62840336561203},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.44077885150909424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3764791786670685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37353387475013733},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31181/taci1120231","doi":"https://doi.org/10.31181/taci1120231","is_oa":true,"landing_page_url":"https://doi.org/10.31181/taci1120231","pdf_url":"http://www.taci-journal.org/index.php/taci/article/download/1/5","source":{"id":"https://openalex.org/S4387997499","display_name":"Theoretical and Applied Computational Intelligence","issn_l":"3009-3325","issn":["3009-3325"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405266482","host_organization_name":"Scientific Oasis","host_organization_lineage":["https://openalex.org/I4405266482"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theoretical and Applied Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31181/taci1120231","doi":"https://doi.org/10.31181/taci1120231","is_oa":true,"landing_page_url":"https://doi.org/10.31181/taci1120231","pdf_url":"http://www.taci-journal.org/index.php/taci/article/download/1/5","source":{"id":"https://openalex.org/S4387997499","display_name":"Theoretical and Applied Computational Intelligence","issn_l":"3009-3325","issn":["3009-3325"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405266482","host_organization_name":"Scientific Oasis","host_organization_lineage":["https://openalex.org/I4405266482"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theoretical and Applied Computational Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46149998903274536,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387344972.pdf","grobid_xml":"https://content.openalex.org/works/W4387344972.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1916582435","https://openalex.org/W1986729377","https://openalex.org/W1999005256","https://openalex.org/W2024518622","https://openalex.org/W2144317842","https://openalex.org/W2145113795","https://openalex.org/W2151554678","https://openalex.org/W2154943049","https://openalex.org/W2232317135","https://openalex.org/W2917884856","https://openalex.org/W2959787220","https://openalex.org/W2962949934","https://openalex.org/W2985781222","https://openalex.org/W3083112738","https://openalex.org/W3119550203","https://openalex.org/W3212797097","https://openalex.org/W4289731139","https://openalex.org/W4290068817","https://openalex.org/W4298156653","https://openalex.org/W4308019809","https://openalex.org/W4308509827","https://openalex.org/W4312800277","https://openalex.org/W4313494551","https://openalex.org/W4321073089","https://openalex.org/W4321783252","https://openalex.org/W4382873860","https://openalex.org/W4382934512"],"related_works":["https://openalex.org/W2022368849","https://openalex.org/W1714231743","https://openalex.org/W2125105654","https://openalex.org/W4296141687","https://openalex.org/W4390167891","https://openalex.org/W2112102817","https://openalex.org/W3017055944","https://openalex.org/W2109248217","https://openalex.org/W2095379590","https://openalex.org/W438214070"],"abstract_inverted_index":{"Solar":[0,10],"activity":[1,11,95],"plays":[2,12],"an":[3,13,81],"important":[4,16,38,162],"role":[5,17],"when":[6,18],"considering":[7],"terrestrial":[8],"communication.":[9],"even":[14],"more":[15],"working":[19],"with":[20,80],"communication":[21],"systems":[22],"relying":[23],"on":[24,97,108,135],"artificial":[25],"satellites.":[26],"Electromagnetic":[27],"emissions,":[28],"known":[29],"as":[30,41,112,114,164],"solar":[31,43,94,173],"flares,":[32],"can":[33,58],"disrupt":[34],"communications":[35],"and":[36,152],"damage":[37,67],"infrastructure.":[39,69],"However,":[40],"powerful":[42],"flares":[44],"are":[45,145],"often":[46],"preceded":[47],"by":[48],"observable":[49],"occurrences":[50],"of":[51,65,75,92,105,126,170],"sunspots,":[52],"a":[53,136],"robust":[54],"system":[55,57],"prognosis":[56],"be":[59],"leveraged":[60,122],"to":[61,68,86,101,147],"help":[62],"improve":[63],"chances":[64],"minimizing":[66],"This":[70],"work":[71],"explored":[72],"the":[73,88,102,118,124,153,168,171],"potential":[74],"recurrent":[76],"neural":[77,106],"networks":[78,107],"coupled":[79],"introduced":[82,119],"modified":[83],"metaheuristics":[84],"algorithm":[85],"tackle":[87],"increasingly":[89,161],"pressing":[90],"challenge":[91],"forecasting":[93],"based":[96],"historical":[98],"data.":[99],"Due":[100],"heavy":[103],"reliance":[104],"proper":[109],"parameter":[110],"selections":[111],"well":[113],"adequate":[115],"architectural":[116],"structure,":[117],"optimizer":[120],"is":[121,133,140],"for":[123,158],"optimization":[125,150],"these":[127],"control":[128],"parameters.":[129],"The":[130,143],"proposed":[131],"approach":[132],"evaluated":[134],"real-world":[137],"dataset":[138],"that":[139],"publicly":[141],"available.":[142],"outcomes":[144,154],"compared":[146],"several":[148],"well-established":[149],"metaheuristics,":[151],"show":[155],"great":[156],"promise":[157],"tackling":[159],"this":[160],"topic":[163],"we":[165],"head":[166],"into":[167],"peak":[169],"current":[172],"cycle.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-10-05T00:00:00"}
