{"id":"https://openalex.org/W4381381986","doi":"https://doi.org/10.3233/jifs-231794","title":"Chebyshev polynimal dempster convolutional hearing sensitivity level detection with auditory evoked potentials","display_name":"Chebyshev polynimal dempster convolutional hearing sensitivity level detection with auditory evoked potentials","publication_year":2023,"publication_date":"2023-06-20","ids":{"openalex":"https://openalex.org/W4381381986","doi":"https://doi.org/10.3233/jifs-231794"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-231794","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231794","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 & 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/A5081494953","display_name":"K. M. Kirthika","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099837","display_name":"Sri Ramakrishna Institute of Paramedical Sciences","ror":"https://ror.org/01t413275","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210099837"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K.M. Kirthika","raw_affiliation_strings":["Department of Computer Science Engineering Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I4210099837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103143905","display_name":"M.P. Paulraj","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099837","display_name":"Sri Ramakrishna Institute of Paramedical Sciences","ror":"https://ror.org/01t413275","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210099837"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M.P. Paulraj","raw_affiliation_strings":["Department of Computer Science Engineering Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I4210099837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103219597","display_name":"C.R. Hema","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099837","display_name":"Sri Ramakrishna Institute of Paramedical Sciences","ror":"https://ror.org/01t413275","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210099837"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C.R. Hema","raw_affiliation_strings":["Department of Electrical and Electronics Engineering Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering Sri Ramakrishna Institute of Technology, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I4210099837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081494953"],"corresponding_institution_ids":["https://openalex.org/I4210099837"],"apc_list":null,"apc_paid":null,"fwci":0.4075,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55273865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"45","issue":"4","first_page":"5353","last_page":"5366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6537454128265381},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.53391033411026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5110098123550415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49199435114860535},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48182764649391174},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.45939064025878906},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.426347017288208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3760201334953308},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3440665006637573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2952924370765686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10654082894325256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08586028218269348}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6537454128265381},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.53391033411026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5110098123550415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49199435114860535},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48182764649391174},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.45939064025878906},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.426347017288208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3760201334953308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3440665006637573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2952924370765686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10654082894325256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08586028218269348},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-231794","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231794","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 & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2064987122","https://openalex.org/W2125642863","https://openalex.org/W3134390657","https://openalex.org/W3159532722","https://openalex.org/W3181275488","https://openalex.org/W3193263140","https://openalex.org/W4205620265","https://openalex.org/W4206654584","https://openalex.org/W4206798246","https://openalex.org/W4220997348","https://openalex.org/W4312984402"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2397288865","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2368524271","https://openalex.org/W4247116873","https://openalex.org/W2811106690","https://openalex.org/W1529374794","https://openalex.org/W2046837923","https://openalex.org/W2393503779"],"abstract_inverted_index":{"The":[0,39],"EEG-based":[1],"HTR":[2],"utilizing":[3],"AEP":[4],"responses":[5,124],"of":[6,9,22,131,134,143,155,167],"both":[7,67],"group":[8,133,142],"participants":[10,135,144],"with":[11,19,136,140,145,152],"normal":[12,137],"hearing":[13,16,24,85,104,128,138,146],"and":[14,31,62,73,88,121,125,139],"abnormal":[15],"are":[17,48,79,148,159],"managed":[18],"the":[20,84,110,114,118,122,127,132,141,153,165],"objective":[21,111],"detecting":[23,103],"sensitivity":[25,105,129],"level":[26,106,130],"using":[27,50],"Chebyshev":[28,51],"Recurrence":[29,52],"Polynomial":[30,53],"Dempster":[32,97],"Convolutional":[33,98],"Neural":[34,99],"Network":[35],"(CRP-DCNN)":[36],"is":[37,42,107],"designed.":[38],"CRP-DCNN":[40],"method":[41],"split":[43],"into":[44],"three":[45],"sections.":[46],"They":[47],"preprocessing":[49],"Filter,":[54],"feature":[55],"extraction":[56],"by":[57],"employing":[58],"Orthogonalized":[59,68],"Singular":[60,69],"Value":[61,70],"Median":[63,74],"Skewed":[64],"Wavelet.":[65],"Here,":[66],"Decomposition-based":[71],"parametric":[72],"Skewness-based":[75],"non-parametric":[76],"modeling":[77],"techniques":[78],"employed":[80],"for":[81,93,102],"first":[82],"obtaining":[83],"threshold":[86],"factors":[87],"then":[89],"extracting":[90],"statistical":[91],"features":[92,154,166],"further":[94],"processing.":[95],"Finally":[96],"Network-based":[100],"Classification":[101],"presented.":[108],"Hence,":[109],"to":[112,163],"determine":[113],"significant":[115],"correlations":[116],"between":[117],"brain":[119],"dynamics":[120],"auditory":[123],"detect":[126],"loss":[147],"designed":[149],"on":[150],"accordance":[151],"EEG":[156,168],"signals.":[157,169],"Simulations":[158],"performed":[160],"in":[161],"MATLAB":[162],"validate":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}