{"id":"https://openalex.org/W4213342533","doi":"https://doi.org/10.34028/iajit/19/2/15","title":"Multi-Pose Facial Expression Recognition Using Hybrid Deep Learning Model with Improved Variant of Gravitational Search Algorithm","display_name":"Multi-Pose Facial Expression Recognition Using Hybrid Deep Learning Model with Improved Variant of Gravitational Search Algorithm","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213342533","doi":"https://doi.org/10.34028/iajit/19/2/15"},"language":"en","primary_location":{"id":"doi:10.34028/iajit/19/2/15","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/19/2/15","pdf_url":"https://doi.org/10.34028/iajit/19/2/15","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.34028/iajit/19/2/15","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103732070","display_name":"Yogesh Kumar","orcid":"https://orcid.org/0009-0001-1121-1829"},"institutions":[{"id":"https://openalex.org/I2802922787","display_name":"GD Goenka University","ror":"https://ror.org/053y5dz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802922787"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yogesh Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, GD Goenka University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GD Goenka University, India","institution_ids":["https://openalex.org/I2802922787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101709167","display_name":"Shashi Kant Verma","orcid":"https://orcid.org/0000-0001-8060-8718"},"institutions":[{"id":"https://openalex.org/I252758333","display_name":"Govind Ballabh Pant University of Agriculture and Technology","ror":"https://ror.org/02msjvh03","country_code":"IN","type":"education","lineage":["https://openalex.org/I252758333"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashi Kant Verma","raw_affiliation_strings":["Department of Computer Science and Engineering, G B Pant Institute of Engineering and Technology, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, G B Pant Institute of Engineering and Technology, India","institution_ids":["https://openalex.org/I252758333"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014759479","display_name":"Sandeep Sharma","orcid":"https://orcid.org/0000-0002-1672-8165"},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"D.Y. Patil University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]},{"id":"https://openalex.org/I4403386594","display_name":"Ajeenkya DY Patil University","ror":"https://ror.org/02v423c65","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386594"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandeep Sharma","raw_affiliation_strings":["Department of Information Technology, Ajeenkya DY Patil University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Ajeenkya DY Patil University, India","institution_ids":["https://openalex.org/I4210153931","https://openalex.org/I4403386594"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1746,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78713821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"19","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9659000039100647,"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/T11448","display_name":"Face recognition and analysis","score":0.9422000050544739,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7805860638618469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6569368839263916},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6119901537895203},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6004176139831543},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5991129875183105},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5840089321136475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47699645161628723},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45432770252227783},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.44318220019340515},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.43429213762283325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4257989823818207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36820513010025024},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.17587441205978394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12047868967056274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805860638618469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6569368839263916},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6119901537895203},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6004176139831543},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5991129875183105},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5840089321136475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47699645161628723},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45432770252227783},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.44318220019340515},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.43429213762283325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4257989823818207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36820513010025024},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.17587441205978394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12047868967056274},{"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:10.34028/iajit/19/2/15","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/19/2/15","pdf_url":"https://doi.org/10.34028/iajit/19/2/15","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.34028/iajit/19/2/15","is_oa":true,"landing_page_url":"https://doi.org/10.34028/iajit/19/2/15","pdf_url":"https://doi.org/10.34028/iajit/19/2/15","source":{"id":"https://openalex.org/S100666833","display_name":"The International Arab Journal of Information Technology","issn_l":"1683-3198","issn":["1683-3198","2309-4524"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4362726017","host_organization_name":"Zarqa University","host_organization_lineage":["https://openalex.org/P4362726017"],"host_organization_lineage_names":["Zarqa University"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Arab Journal of Information Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213342533.pdf","grobid_xml":"https://content.openalex.org/works/W4213342533.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1988790982","https://openalex.org/W2023030054","https://openalex.org/W2029005979","https://openalex.org/W2035161948","https://openalex.org/W2039051707","https://openalex.org/W2072955302","https://openalex.org/W2106115875","https://openalex.org/W2164598857","https://openalex.org/W2400213789","https://openalex.org/W2565516711","https://openalex.org/W2653077995","https://openalex.org/W2768777243","https://openalex.org/W2796830519","https://openalex.org/W2803752747","https://openalex.org/W2810133598","https://openalex.org/W2891399311","https://openalex.org/W2960560113","https://openalex.org/W2986002983","https://openalex.org/W2995035891","https://openalex.org/W3049234687","https://openalex.org/W3097921827","https://openalex.org/W4214724298","https://openalex.org/W4239410828","https://openalex.org/W4403242122","https://openalex.org/W6668663273","https://openalex.org/W6675736572","https://openalex.org/W6750843368","https://openalex.org/W6785512428"],"related_works":["https://openalex.org/W1972656095","https://openalex.org/W2049862374","https://openalex.org/W2285052147","https://openalex.org/W2970216048","https://openalex.org/W2560749169","https://openalex.org/W2999805992","https://openalex.org/W1966028303","https://openalex.org/W2482909787","https://openalex.org/W1546966002","https://openalex.org/W2016839265"],"abstract_inverted_index":{"The":[0,52,87,104,152],"recognition":[1,43,68,186],"of":[2,9,13,41,55,61,73,95,106,150],"human":[3,22],"facial":[4,46,66],"expressions":[5],"with":[6,79,177],"the":[7,14,39,49,56,59,71,93,96,107,118,126,135,146,159,170,180,184],"variation":[8],"poses":[10,47],"is":[11,58,92,121,143,155],"one":[12],"challenging":[15],"tasks":[16],"in":[17],"real-time":[18],"applications":[19],"such":[20],"as":[21,115],"physiological":[23],"interaction":[24],"detection,":[25],"intention":[26],"analysis,":[27],"marketing":[28],"interest":[29],"evaluation,":[30],"mental":[31],"disease":[32],"diagnosis,":[33],"etc.":[34],"This":[35],"research":[36],"work":[37],"addresses":[38],"problem":[40],"expression":[42,67,132],"from":[44],"different":[45],"at":[48],"yaw":[50],"angle.":[51],"major":[53],"contribution":[54],"paper":[57],"proposal":[60],"an":[62,80],"autonomous":[63],"pose":[64],"variant":[65],"framework":[69,182],"using":[70],"amalgamation":[72],"a":[74],"hybrid":[75,88,108],"deep":[76,89,109],"learning":[77,90,110],"model":[78,91,111],"improved":[81],"quantum":[82],"inspired":[83],"gravitational":[84],"search":[85,166],"algorithm.":[86],"integration":[94],"convolutional":[97],"neural":[98,102],"network":[99],"and":[100,148,173,196],"recurrent":[101],"network.":[103],"applicability":[105],"can":[112],"be":[113],"considered":[114],"significant":[116,156],"if":[117],"feature":[119],"set":[120],"efficiently":[122],"optimized":[123],"to":[124,130,162],"have":[125],"discriminative":[127],"features":[128,160],"respective":[129],"each":[131],"class.":[133],"Here,":[134],"Improved":[136],"Quantum":[137],"Inspired":[138],"Gravitational":[139],"Search":[140],"Algorithm":[141],"(IQI-GSA)":[142],"utilized":[144],"for":[145,157,168,188],"selection":[147],"optimization":[149],"features.":[151],"IQI-GSA":[153],"method":[154],"optimizing":[158],"compared":[161],"quantum-behaved":[163],"binary":[164],"gravitation":[165],"algorithm":[167],"handing":[169],"local":[171],"optima":[172],"stochastic":[174],"characteristics.":[175],"Comparing":[176],"state-of-art":[178],"techniques,":[179],"proposed":[181],"exhibits":[183],"outperformed":[185],"rate":[187],"experimentation":[189],"on":[190],"Karolinska":[191],"Directed":[192],"Emotional":[193],"Faces":[194],"(KDEF)":[195],"Japanese":[197],"Female":[198],"Facial":[199],"Expression":[200],"(JAFFE)":[201],"datasets.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
