{"id":"https://openalex.org/W4313459284","doi":"https://doi.org/10.1109/iccr56254.2022.9996002","title":"Retracted: Enhancing the Performance Accuracy of Student Monitoring System by Face Detection and Tracking in Classroom Environment using RNN over MTCNN Algorithms","display_name":"Retracted: Enhancing the Performance Accuracy of Student Monitoring System by Face Detection and Tracking in Classroom Environment using RNN over MTCNN Algorithms","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313459284","doi":"https://doi.org/10.1109/iccr56254.2022.9996002"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9996002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996002","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-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/A5002408878","display_name":"N.Kamal Koushik","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"N.Kamal Koushik","raw_affiliation_strings":["Saveetha University,Department of Computer Science and Engineering,Chennai,India","Department of Computer Science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005267166","display_name":"DJ.Gino Sinthia","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"DJ.Gino Sinthia","raw_affiliation_strings":["Saveetha University,Department of Computer Science and Engineering,Chennai,India","Department of Computer Science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104103932","display_name":"P. Kiran Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Kiran Kumar","raw_affiliation_strings":["Saveetha University,Department of Computer Science and Engineering,Chennai,India","Department of Computer Science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002408878"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17617282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996399998664856,"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":0.996399998664856,"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/T11448","display_name":"Face recognition and analysis","score":0.9922000169754028,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8360472917556763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7513778209686279},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6964708566665649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5507459044456482},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5040387511253357},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4593302607536316},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4474739730358124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4197849929332733},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.416795015335083},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4102933406829834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4073953330516815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36409103870391846}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8360472917556763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513778209686279},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6964708566665649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5507459044456482},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5040387511253357},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4593302607536316},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4474739730358124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4197849929332733},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.416795015335083},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4102933406829834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4073953330516815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36409103870391846},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9996002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9996002","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.75,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1673613841","https://openalex.org/W2042285302","https://openalex.org/W2070457379","https://openalex.org/W2082340261","https://openalex.org/W2132118316","https://openalex.org/W2142354813","https://openalex.org/W2154989454","https://openalex.org/W2295030460","https://openalex.org/W2315285035","https://openalex.org/W2786051655","https://openalex.org/W2914882982","https://openalex.org/W2949985398","https://openalex.org/W2964673972","https://openalex.org/W2985536857","https://openalex.org/W3003421198","https://openalex.org/W3004245667","https://openalex.org/W3024479384","https://openalex.org/W3025607100","https://openalex.org/W3026717820","https://openalex.org/W3038830664","https://openalex.org/W3126534690","https://openalex.org/W3131298444","https://openalex.org/W3134074827","https://openalex.org/W3134184177","https://openalex.org/W3158086583","https://openalex.org/W3158380130","https://openalex.org/W3173502443","https://openalex.org/W3177247870","https://openalex.org/W3178754359","https://openalex.org/W3180876537","https://openalex.org/W3187055890","https://openalex.org/W3205520011","https://openalex.org/W4200316875","https://openalex.org/W4206795995","https://openalex.org/W4281714334"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"To":[0],"enhance":[1],"the":[2],"accuracy":[3,62,91],"of":[4,19,36,63,73,78,83],"face":[5],"recognition":[6],"in":[7,65],"a":[8],"classroom":[9],"environment":[10],"using":[11],"Recurrent":[12,23,86],"Neural":[13,24,30],"Network":[14,25,31],"(RNN).":[15],"The":[16],"study":[17],"consists":[18],"2":[20],"groups":[21],"i.e":[22],"and":[26,53,68],"Multi":[27,95],"Cascaded":[28],"Convolutional":[29],"(MTCNN)":[32],"with":[33,49,75,94],"sample":[34,47],"size":[35,48],"10":[37],"for":[38],"each":[39],"group.":[40],"Gpower":[41],"software":[42],"is":[43,55],"used":[44],"to":[45],"determine":[46],"power":[50],"value":[51,77],"0.8":[52],"alpha":[54],"0.05.":[56],"Proposed":[57],"model":[58,72,85],"has":[59],"an":[60],"improved":[61],"95.44%":[64],"facial":[66],"detection":[67],"tracking":[69],"than":[70],"existing":[71],"91.73%":[74],"significance":[76],"0.97":[79],"(p\u00bf0.05).":[80],"End":[81],"result":[82],"proposed":[84],"neural":[87,98],"network":[88],"provides":[89],"better":[90],"when":[92],"compared":[93],"cascaded":[96],"convolutional":[97],"network.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-01-06T00:00:00"}