{"id":"https://openalex.org/W3017723917","doi":"https://doi.org/10.3233/jifs-191015","title":"Extreme learning adaptive neuro-fuzzy inference system model for classifying the epilepsy using Q-Tuned wavelet transform","display_name":"Extreme learning adaptive neuro-fuzzy inference system model for classifying the epilepsy using Q-Tuned wavelet transform","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3017723917","doi":"https://doi.org/10.3233/jifs-191015","mag":"3017723917"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191015","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191015","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5013929263","display_name":"S. R. Ashokkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119396","display_name":"Social Service Sericulture Project Trust","ror":"https://ror.org/02sb4r018","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210119396"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S.R Ashokkumar","raw_affiliation_strings":["Department of Electronics and Communication Engineering, SSM Institute of Engineering and Technology Dindigul, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SSM Institute of Engineering and Technology Dindigul, Tamil Nadu, India","institution_ids":["https://openalex.org/I4210119396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007734917","display_name":"G. Mohanbabu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119396","display_name":"Social Service Sericulture Project Trust","ror":"https://ror.org/02sb4r018","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210119396"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. MohanBabu","raw_affiliation_strings":["Department of Electronics and Communication Engineering, SSM Institute of Engineering and Technology Dindigul, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SSM Institute of Engineering and Technology Dindigul, Tamil Nadu, India","institution_ids":["https://openalex.org/I4210119396"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013929263"],"corresponding_institution_ids":["https://openalex.org/I4210119396"],"apc_list":null,"apc_paid":null,"fwci":1.9412,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85826495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"39","issue":"1","first_page":"233","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9975000023841858,"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/T10320","display_name":"Neural Networks and Applications","score":0.9923999905586243,"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/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.7456644773483276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.633842408657074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291693449020386},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6165370345115662},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6103169322013855},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.592439591884613},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5697228908538818},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.5615971088409424},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5584895014762878},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45640552043914795},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45174548029899597},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4372846484184265},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.40250083804130554},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.36830297112464905},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3657769560813904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2126341164112091},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.18254131078720093},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17293396592140198},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14419519901275635},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09800615906715393}],"concepts":[{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.7456644773483276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633842408657074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291693449020386},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6165370345115662},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6103169322013855},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.592439591884613},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5697228908538818},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.5615971088409424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5584895014762878},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45640552043914795},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45174548029899597},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4372846484184265},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.40250083804130554},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.36830297112464905},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3657769560813904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2126341164112091},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.18254131078720093},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17293396592140198},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14419519901275635},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09800615906715393},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-191015","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191015","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1989801867","https://openalex.org/W2012485898","https://openalex.org/W2019207321","https://openalex.org/W2024383241","https://openalex.org/W2050209058","https://openalex.org/W2053744708","https://openalex.org/W2077204677","https://openalex.org/W2078760541","https://openalex.org/W2081377128","https://openalex.org/W2100595623","https://openalex.org/W2107541057","https://openalex.org/W2111072639","https://openalex.org/W2155441809","https://openalex.org/W2278483878","https://openalex.org/W2292649956","https://openalex.org/W2334762131","https://openalex.org/W2414831821","https://openalex.org/W2462271429","https://openalex.org/W2571012593","https://openalex.org/W2580194401","https://openalex.org/W2593774412","https://openalex.org/W2594306784","https://openalex.org/W2598587204","https://openalex.org/W2752169992","https://openalex.org/W2898491665","https://openalex.org/W2914193281","https://openalex.org/W2914313132","https://openalex.org/W2914359968","https://openalex.org/W2914967157","https://openalex.org/W2924072309","https://openalex.org/W2933609529","https://openalex.org/W2943507717","https://openalex.org/W2963190374","https://openalex.org/W2963810576","https://openalex.org/W3122507959","https://openalex.org/W4289951683","https://openalex.org/W6842039410"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W2114654021","https://openalex.org/W2263529430","https://openalex.org/W2389800468","https://openalex.org/W4390103748","https://openalex.org/W2763641192","https://openalex.org/W31566076","https://openalex.org/W2150377753","https://openalex.org/W2470435327","https://openalex.org/W2189409706"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,24,51,109,121,166],"a":[2,22,55,100,129],"nervous":[3],"disorder":[4],"that":[5,102,176],"causes":[6],"arbitrary":[7],"recurrent":[8],"seizures":[9],"within":[10],"the":[11,16,42,79,93,96,105,151,156,185,190],"cerebral":[12],"cortex":[13],"region":[14],"of":[15,21,59,82,95,133,158,201],"encephalon.":[17],"The":[18,48,138,162,173],"early":[19],"diagnosis":[20],"seizure":[23,32,61,106],"important":[25],"in":[26,45,104,150],"clinical":[27,46],"therapy.":[28],"An":[29],"automatic":[30],"epileptic":[31,60,160],"detection":[33,62],"method":[34,165,198],"for":[35,111,155],"electroencephalogram":[36],"(EEG)":[37],"signals":[38,114,127],"can":[39],"significantly":[40],"enhance":[41],"patient\u2019s":[43],"life":[44],"aspect.":[47],"proposed":[49,163],"paper":[50],"principally":[52],"based":[53],"on":[54,168],"completely":[56],"unique":[57],"approach":[58],"using":[63],"Q-Tuned":[64],"Wavelet":[65],"Transform":[66],"(QTWT)":[67],"and":[68,77,181,188],"Approximate":[69,119],"entropy":[70,120],"(ApEn).":[71],"This":[72,197],"work":[73],"focuses":[74],"by":[75,141,177],"utilizing":[76],"testing":[78],"common":[80],"sense":[81],"Extreme":[83],"Learning":[84],"Adaptive":[85],"Neuro-Fuzzy":[86],"Inference":[87],"System":[88],"Model":[89],"(EXL-ANFIS)":[90],"which":[91],"foresees":[92],"elements":[94],"mind":[97],"states":[98],"as":[99,128],"trajectory":[101],"results":[103],"event.":[107],"QTWT":[108],"used":[110],"decomposing":[112],"EEG":[113],"into":[115],"sub-band":[116,126],"frequency":[117],"signals.":[118],"carried":[122],"out":[123],"to":[124],"those":[125],"discriminatory":[130],"function":[131],"because":[132],"its":[134],"indefinite":[135],"disordered":[136],"feature.":[137],"solutions":[139],"obtained":[140],"directing":[142],"towards":[143],"EXL-":[144],"ANFIS":[145,182],"shows":[146],"an":[147,159],"incredible":[148],"advancement":[149],"perpetual":[152],"performance":[153],"outlay":[154],"classification":[157,164,186,202],"seizure.":[161],"implemented":[167],"publicly":[169],"available":[170],"Bonn":[171],"dataset.":[172],"outcome":[174],"confirms":[175],"combining":[178],"extreme":[179],"learning":[180],"model":[183],"improves":[184],"accuracy":[187,203],"decrease":[189],"feature":[191],"dimension":[192],"with":[193],"reduced":[194],"computational":[195],"complexity.":[196],"achieves":[199],"99.72%":[200],"over":[204],"existing":[205],"models.":[206]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
