{"id":"https://openalex.org/W4414994591","doi":"https://doi.org/10.1504/ijcse.2025.10074012","title":"Feature selection using fossa optimisation algorithm for detection of epilepsy from EEG signal","display_name":"Feature selection using fossa optimisation algorithm for detection of epilepsy from EEG signal","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414994591","doi":"https://doi.org/10.1504/ijcse.2025.10074012"},"language":"en","primary_location":{"id":"doi:10.1504/ijcse.2025.10074012","doi":"https://doi.org/10.1504/ijcse.2025.10074012","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcse.2025.10074012","pdf_url":null,"source":{"id":"https://openalex.org/S65043351","display_name":"International Journal of Computational Science and Engineering","issn_l":"1742-7185","issn":["1742-7185","1742-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Science and Engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"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/A5111142084","display_name":"Pratiti Mishra","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pratiti Mishra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hrishikesh Kumar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hrishikesh Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030334885","display_name":"Himansu Das","orcid":"https://orcid.org/0000-0002-3995-2768","observed_orcids":["https://orcid.org/0000-0002-3995-2768"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Himansu Das","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23729409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"1","first_page":"299","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9003999829292297,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9003999829292297,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.06390000134706497,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.003599999938160181,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9210000038146973},{"id":"https://openalex.org/keywords/seizure-detection","display_name":"seizure detection","score":0.9700000286102295},{"id":"https://openalex.org/keywords/eeg-signals","display_name":"EEG signals","score":0.9470000267028809},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.7829999923706055},{"id":"https://openalex.org/keywords/ant-colony-optimization","display_name":"ant colony optimization","score":0.7710000276565552},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.8539999723434448},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9929999709129333},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"differential evolution","score":0.9860000014305115},{"id":"https://openalex.org/keywords/classification-performance","display_name":"classification performance","score":0.32899999618530273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877999901771545},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6442000269889832},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6107000112533569},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6000999808311462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861999988555908},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5461000204086304},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3758000135421753},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3433000147342682},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C2776800370","wikidata":"https://www.wikidata.org/wiki/Q5172864","display_name":"Correlative","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25940001010894775},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1504/ijcse.2025.10074012","doi":"https://doi.org/10.1504/ijcse.2025.10074012","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcse.2025.10074012","pdf_url":null,"source":{"id":"https://openalex.org/S65043351","display_name":"International Journal of Computational Science and Engineering","issn_l":"1742-7185","issn":["1742-7185","1742-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Science and Engineering","raw_type":"journal-article"},{"id":"doi:10.1504/ijcse.2026.153979","doi":"https://doi.org/10.1504/ijcse.2026.153979","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcse.2026.153979","pdf_url":null,"source":{"id":"https://openalex.org/S65043351","display_name":"International Journal of Computational Science and Engineering","issn_l":"1742-7185","issn":["1742-7185","1742-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6240000128746033}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,99,114],"a":[2,17],"widespread":[3],"neurological":[4],"condition":[5],"impacting":[6],"people":[7],"of":[8,27,36],"all":[9],"ages.":[10],"Medical":[11],"professionals":[12],"use":[13],"electroencephalography":[14],"(EEG)":[15],"as":[16,42],"monitoring":[18],"tool":[19],"to":[20,50,61,86],"analyse":[21],"neural":[22],"activity":[23],"and":[24,44,66,110,124,141],"detect":[25],"signs":[26],"epilepsy.":[28],"This":[29,73,97],"issue":[30],"often":[31],"stems":[32],"from":[33],"the":[34,68,81,88,130,134],"inclusion":[35],"superfluous":[37],"EEG":[38],"features":[39,65,140],"-":[40,47],"such":[41],"noise":[43],"irrelevant":[45,64],"data":[46],"that":[48,129],"fail":[49],"support":[51],"accurate":[52],"diagnosis.":[53],"Therefore,":[54],"feature":[55,91],"selection":[56],"(FS)":[57],"methods":[58,136],"are":[59],"necessary":[60],"filter":[62],"out":[63],"retain":[67],"most":[69,89],"diagnostically":[70],"significant":[71],"ones.":[72],"study":[74],"proposes":[75],"an":[76],"innovative":[77],"FS":[78,105],"method":[79,98],"using":[80,116],"fossa":[82],"optimisation":[83],"algorithm":[84],"(FSFOA)":[85],"determine":[87],"effective":[90],"subset":[92],"for":[93],"improving":[94],"classification":[95,143],"accuracy.":[96],"compared":[100],"with":[101],"four":[102],"widely":[103],"recognised":[104],"techniques:":[106],"ACO,":[107],"GA,":[108],"PSO,":[109],"DE.":[111],"The":[112],"evaluation":[113],"conducted":[115],"five":[117],"popular":[118],"classifiers:":[119],"QDA,":[120],"NB,":[121],"DT,":[122],"SVM":[123],"KNN.":[125],"Experimental":[126],"results":[127],"reveal":[128],"proposed":[131],"FSFOA":[132],"outperforms":[133],"aforementioned":[135],"in":[137],"selecting":[138],"optimal":[139],"enhancing":[142],"performance.":[144]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2025-10-10T00:00:00"}
