{"id":"https://openalex.org/W4392543691","doi":"https://doi.org/10.1109/access.2024.3374893","title":"Oppositional Brain Storm Optimization With Deep Learning Based Facial Emotion Recognition for Autonomous Intelligent Systems","display_name":"Oppositional Brain Storm Optimization With Deep Learning Based Facial Emotion Recognition for Autonomous Intelligent Systems","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392543691","doi":"https://doi.org/10.1109/access.2024.3374893"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3374893","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3374893","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10463043.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10463043.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004061497","display_name":"T. Prabhakara Rao","orcid":"https://orcid.org/0000-0002-4665-3993"},"institutions":[{"id":"https://openalex.org/I4210145126","display_name":"Aditya Birla (India)","ror":"https://ror.org/03pztks36","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210145126"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"T. Prabhakara Rao","raw_affiliation_strings":["Department of Computer Science and Engineering, Aditya Engineering College (A), Surampalem, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Aditya Engineering College (A), Surampalem, India","institution_ids":["https://openalex.org/I4210145126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065559014","display_name":"Satish Kumar Patnala","orcid":"https://orcid.org/0000-0002-7352-2171"},"institutions":[{"id":"https://openalex.org/I4210156205","display_name":"Indian Institute of Management Visakhapatnam","ror":"https://ror.org/05v3hkt95","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210156205"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satishkumar Patnala","raw_affiliation_strings":["Department of IT, ANITS Engineering College, Visakhapatnam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of IT, ANITS Engineering College, Visakhapatnam, India","institution_ids":["https://openalex.org/I4210156205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068290927","display_name":"Ch. V. Raghavendran","orcid":"https://orcid.org/0000-0002-4423-9086"},"institutions":[{"id":"https://openalex.org/I4210145126","display_name":"Aditya Birla (India)","ror":"https://ror.org/03pztks36","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210145126"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ch. V. Raghavendran","raw_affiliation_strings":["Department of IT, Aditya College of Engineering and Technology, Surampalem, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-4423-9086","affiliations":[{"raw_affiliation_string":"Department of IT, Aditya College of Engineering and Technology, Surampalem, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210145126"]}]},{"author_position":"middle","author":{"id":null,"display_name":"E. Laxmi Lydia","orcid":"https://orcid.org/0000-0003-1751-481X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Laxmi Lydia","raw_affiliation_strings":["Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0003-1751-481X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056203624","display_name":"Yeonwoo Lee","orcid":"https://orcid.org/0009-0002-3978-7384"},"institutions":[{"id":"https://openalex.org/I11893660","display_name":"Mokpo National University","ror":"https://ror.org/00v81k483","country_code":"KR","type":"education","lineage":["https://openalex.org/I11893660"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeonwoo Lee","raw_affiliation_strings":["Department of Information Communication Engineering, Mokpo National University, Muan-gun, Chonnam, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Communication Engineering, Mokpo National University, Muan-gun, Chonnam, South Korea","institution_ids":["https://openalex.org/I11893660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015970771","display_name":"Srijana Acharya","orcid":"https://orcid.org/0000-0002-0724-8936"},"institutions":[{"id":"https://openalex.org/I206597221","display_name":"Kongju National University","ror":"https://ror.org/0373nm262","country_code":"KR","type":"education","lineage":["https://openalex.org/I206597221"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Srijana Acharya","raw_affiliation_strings":["Department of Convergence Science, Kongju National University, Gongju-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0724-8936","affiliations":[{"raw_affiliation_string":"Department of Convergence Science, Kongju National University, Gongju-si, South Korea","institution_ids":["https://openalex.org/I206597221"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040014654","display_name":"Jae-Yong Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I119522612","display_name":"Daejeon University","ror":"https://ror.org/02eqchk86","country_code":"KR","type":"education","lineage":["https://openalex.org/I119522612"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Yong Hwang","raw_affiliation_strings":["Department of Information and Communication Engineering, Daejeon University, Dong-gu, Daejeon, South Korea","Department of Information & Communication Engineering, Daejeon University, 62 Daehak-ro, Dong-gu, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0009-0005-4052-4153","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Daejeon University, Dong-gu, Daejeon, South Korea","institution_ids":["https://openalex.org/I119522612"]},{"raw_affiliation_string":"Department of Information & Communication Engineering, Daejeon University, 62 Daehak-ro, Dong-gu, Daejeon, South Korea","institution_ids":["https://openalex.org/I119522612"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5004061497"],"corresponding_institution_ids":["https://openalex.org/I4210145126"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.0931,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.95388946,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"44278","last_page":"44285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9922999739646912,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9922999739646912,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.968500018119812,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704211950302124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210615992546082},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.47187939286231995},{"id":"https://openalex.org/keywords/storm","display_name":"Storm","score":0.46626266837120056},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44712361693382263},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34749799966812134},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3431035280227661},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.08768483996391296},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07495498657226562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704211950302124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210615992546082},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.47187939286231995},{"id":"https://openalex.org/C105306849","wikidata":"https://www.wikidata.org/wiki/Q81054","display_name":"Storm","level":2,"score":0.46626266837120056},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44712361693382263},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34749799966812134},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3431035280227661},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.08768483996391296},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07495498657226562}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3374893","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3374893","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10463043.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:45812be9ba084bcda39732f44c95e264","is_oa":true,"landing_page_url":"https://doaj.org/article/45812be9ba084bcda39732f44c95e264","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 44278-44285 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3374893","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3374893","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10463043.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392543691.pdf","grobid_xml":"https://content.openalex.org/works/W4392543691.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W3012197804","https://openalex.org/W3026656079","https://openalex.org/W3035438369","https://openalex.org/W3036674531","https://openalex.org/W3082932313","https://openalex.org/W3120875977","https://openalex.org/W3133797747","https://openalex.org/W3201716537","https://openalex.org/W3206715694","https://openalex.org/W4205518925","https://openalex.org/W4211249450","https://openalex.org/W4213342533","https://openalex.org/W4225115505","https://openalex.org/W4285302276","https://openalex.org/W4297509778","https://openalex.org/W4312336953","https://openalex.org/W4312872160","https://openalex.org/W4323359397","https://openalex.org/W4323977922","https://openalex.org/W4360938225","https://openalex.org/W4360962303","https://openalex.org/W4380193876","https://openalex.org/W6780085617"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W1992943688","https://openalex.org/W4383066092","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Autonomous":[0],"Intelligent":[1],"Systems":[2],"(AIS)":[3],"states":[4],"to":[5,38,48,58,65,79,83,93,128,185],"a":[6,190,216],"class":[7],"of":[8,61,87,123,134,137,173,202,209,227],"intelligent":[9],"devices":[10],"that":[11,43],"manage":[12],"and":[13,33,45,67,81,96,130],"create":[14],"decisions":[15],"independently":[16],"without":[17],"human":[18,69],"interference.":[19],"These":[20],"techniques":[21],"use":[22],"numerous":[23],"models":[24],"contains":[25],"artificial":[26],"intelligence":[27],"(AI),":[28],"robotics,":[29],"machine":[30],"learning":[31],"(ML),":[32],"sensor":[34],"fusion,":[35],"in":[36,55,140],"order":[37],"identify":[39,80,129],"its":[40],"environment,":[41],"reflect":[42],"data,":[44],"execute":[46],"accordingly":[47],"achieve":[49],"specific":[50],"goals.":[51],"Facial":[52,113],"emotion":[53,219],"detection":[54],"AIS":[56,78],"applies":[57],"the":[59,84,124,138,145,161,166,170,174,186,198,203,210,225,228],"capability":[60],"AI-driven":[62],"autonomous":[63,141],"machines":[64],"detect":[66],"interpret":[68],"emotions":[70,136],"reliant":[71],"on":[72,215],"facial":[73,135,218],"expressions.":[74],"This":[75],"technology":[76],"permits":[77],"reply":[82],"emotional":[85],"conditions":[86],"individuals":[88],"they":[89],"interconnect":[90],"with,":[91],"foremost":[92,121],"more":[94],"normal":[95],"empathetic":[97],"human-machine":[98],"communications.":[99],"So,":[100],"this":[101],"study":[102],"develops":[103],"an":[104,150,178],"Oppositional":[105],"Brain":[106],"Storm":[107],"Optimizer":[108],"with":[109],"Deep":[110],"Learning":[111],"based":[112],"Emotion":[114],"Recognition":[115],"(OBSODL-FER)":[116],"system":[117,126,168,230],"for":[118,157,169,197],"AIS.":[119],"The":[120,206,221],"goal":[122],"OBSODL-FER":[125,146,163,211,229],"is":[127,183,195],"organize":[131],"dissimilar":[132],"classes":[133],"drives":[139],"vehicles.":[142],"To":[143],"achieve,":[144],"approach":[147,164,212],"mainly":[148],"employs":[149],"Xception-based":[151],"deep":[152],"convolutional":[153],"neural":[154],"networks":[155],"(CNNs)":[156],"feature":[158],"extractor.":[159],"Also,":[160],"developed":[162],"exploits":[165],"OBSO":[167],"hyperparameter":[171,200],"selection":[172,201],"Xception":[175],"method.":[176],"Besides,":[177],"improved":[179],"LSTM":[180],"model":[181],"(ILSTM)":[182],"applied":[184],"classification":[187],"procedure.":[188],"Furthermore,":[189],"jellyfish":[191],"search":[192],"(JFS)":[193],"optimizer":[194],"employed":[196],"optimum":[199],"ILSTM":[204],"technique.":[205],"simulation":[207],"results":[208,223],"are":[213],"verified":[214],"benchmark":[217],"dataset.":[220],"experimental":[222],"inferred":[224],"enhancement":[226],"over":[231],"other":[232],"DL":[233],"algorithms.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-10-10T00:00:00"}