{"id":"https://openalex.org/W3160094064","doi":"https://doi.org/10.4018/ijaci.2021070108","title":"Epileptic Seizure Prediction Using Exponential Squirrel Atom Search Optimization-Based Deep Recurrent Neural Network","display_name":"Epileptic Seizure Prediction Using Exponential Squirrel Atom Search Optimization-Based Deep Recurrent Neural Network","publication_year":2021,"publication_date":"2021-05-17","ids":{"openalex":"https://openalex.org/W3160094064","doi":"https://doi.org/10.4018/ijaci.2021070108","mag":"3160094064"},"language":"en","primary_location":{"id":"doi:10.4018/ijaci.2021070108","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2021070108","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-article"},"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/A5031146934","display_name":"Ratnaprabha Ravindra Borhade","orcid":"https://orcid.org/0000-0002-3745-1687"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ratnaprabha Ravindra Pune Borhade","raw_affiliation_strings":["Zeal College of Engineering and Research, India"],"affiliations":[{"raw_affiliation_string":"Zeal College of Engineering and Research, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084757649","display_name":"Manoj S. Nagmode","orcid":"https://orcid.org/0000-0002-2426-2342"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manoj S. Nagmode","raw_affiliation_strings":["Government  College of Engineering and Research, India","Government College of Engineering and Research, India"],"affiliations":[{"raw_affiliation_string":"Government  College of Engineering and Research, India","institution_ids":[]},{"raw_affiliation_string":"Government College of Engineering and Research, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031146934"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1165,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.39292693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"3","first_page":"166","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9635000228881836,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7869760990142822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6789565086364746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6073329448699951},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5593631267547607},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.528503954410553},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5072019100189209},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.48876261711120605},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.43676021695137024},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36179646849632263},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21552789211273193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7869760990142822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6789565086364746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6073329448699951},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5593631267547607},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.528503954410553},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5072019100189209},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.48876261711120605},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.43676021695137024},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36179646849632263},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21552789211273193},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijaci.2021070108","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijaci.2021070108","pdf_url":null,"source":{"id":"https://openalex.org/S51041755","display_name":"International Journal of Ambient Computing and Intelligence","issn_l":"1941-6237","issn":["1941-6237","1941-6245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Ambient Computing and Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jaci00:v:12:y:2021:i:3:p:166-184","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.2021070108","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2004064883","https://openalex.org/W2011729415","https://openalex.org/W2024217202","https://openalex.org/W2119705365","https://openalex.org/W2121213659","https://openalex.org/W2246329527","https://openalex.org/W2249570950","https://openalex.org/W2529855128","https://openalex.org/W2568407436","https://openalex.org/W2592790850","https://openalex.org/W2608948620","https://openalex.org/W2745722915","https://openalex.org/W2799582985","https://openalex.org/W2805027133","https://openalex.org/W2809868225","https://openalex.org/W2811153207","https://openalex.org/W2896396850","https://openalex.org/W2901730235","https://openalex.org/W2922107760","https://openalex.org/W2947324891","https://openalex.org/W2969254781","https://openalex.org/W2969690041","https://openalex.org/W2992904850","https://openalex.org/W2998694088"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W2130428257","https://openalex.org/W200322357","https://openalex.org/W4308951944","https://openalex.org/W2988848585","https://openalex.org/W4312960290","https://openalex.org/W4233722919","https://openalex.org/W2057366091","https://openalex.org/W2382174632","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"signal":[2,70],"is":[3,32,71,91,135],"broadly":[4],"utilized":[5],"for":[6,62,77,143,147],"monitoring":[7],"epilepsy":[8],"and":[9,122],"plays":[10],"a":[11],"key":[12],"role":[13],"to":[14,23,57,73,93],"revitalize":[15],"close":[16],"loop":[17],"brain.":[18],"The":[19,98],"classical":[20],"method":[21,47],"introduced":[22],"find":[24],"the":[25,45,59,67,74,79,85,88,94,128,132],"seizures":[26],"relies":[27],"on":[28],"EEG":[29,69],"signals":[30],"which":[31],"complex":[33],"as":[34,36],"well":[35],"costly,":[37],"if":[38],"channel":[39],"count":[40],"increases.":[41],"This":[42],"paper":[43],"introduces":[44],"novel":[46],"named":[48],"exponential-squirrel":[49],"atom":[50],"search":[51],"optimization":[52],"(Exp-SASO)":[53],"algorithm":[54],"in":[55],"order":[56],"train":[58],"deep":[60],"RNN":[61],"discovering":[63],"epileptic":[64],"seizure.":[65],"Here,":[66],"input":[68],"given":[72],"pre-processing":[75],"module":[76],"enhancing":[78],"quality":[80],"of":[81],"image":[82,90],"by":[83],"reducing":[84],"noise.":[86],"Then,":[87],"pre-processed":[89],"forwarded":[92],"feature":[95,133],"extraction":[96],"module.":[97],"features,":[99,102,104],"like":[100],"statistical":[101],"spectral":[103,115,123],"logarithmic":[105],"band":[106],"power,":[107],"wavelet":[108],"coefficients,":[109],"common":[110],"spatial":[111],"patterns,":[112],"along":[113],"with":[114],"decrease,":[116],"pitch":[117],"chroma,":[118],"tonal":[119],"power":[120],"ratio,":[121],"flux,":[124],"are":[125,130],"extracted.":[126],"Once":[127],"features":[129,146],"extracted,":[131],"selection":[134],"carried":[136],"out":[137],"using":[138],"fuzzy":[139],"information":[140],"gain":[141],"model":[142],"choosing":[144],"appropriate":[145],"further":[148],"processing.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
