{"id":"https://openalex.org/W7204196843","doi":"https://doi.org/10.1080/20421338.2026.2696943","title":"Deep learning attention-based smart surveillance for automatic exam cheating detection","display_name":"Deep learning attention-based smart surveillance for automatic exam cheating detection","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204196843","doi":"https://doi.org/10.1080/20421338.2026.2696943"},"language":"en","primary_location":{"id":"doi:10.1080/20421338.2026.2696943","doi":"https://doi.org/10.1080/20421338.2026.2696943","is_oa":false,"landing_page_url":"https://doi.org/10.1080/20421338.2026.2696943","pdf_url":null,"source":{"id":"https://openalex.org/S2764379878","display_name":"African Journal of Science Technology Innovation and Development","issn_l":"2042-1338","issn":["2042-1338","2042-1346"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"African Journal of Science, Technology, Innovation and Development","raw_type":"journal-article"},"volume":null,"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/A5092064758","display_name":"Yuvarani Sadatcharam","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Yuvarani Sadatcharam","raw_affiliation_strings":["School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore -632014"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore -632014","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112927287","display_name":"Dinakaran Muruganadam","orcid":"https://orcid.org/0000-0002-6426-8079","observed_orcids":["https://orcid.org/0000-0002-6426-8079"]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dinakaran Muruganadam","raw_affiliation_strings":["School of Computer Science and Engineering, Vellore Institute of Technology, Chennai 600127"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Vellore Institute of Technology, Chennai 600127","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112927287"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68606472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.005200000014156103,"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/T11122","display_name":"Online Learning and Analytics","score":0.0034000000450760126,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/exam-cheating-detection","display_name":"exam cheating detection","score":0.9940000176429749},{"id":"https://openalex.org/keywords/intelligent-surveillance","display_name":"intelligent surveillance","score":0.7350000143051147},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.7739999890327454},{"id":"https://openalex.org/keywords/channel-attention","display_name":"channel attention","score":0.9729999899864197},{"id":"https://openalex.org/keywords/resnet-50","display_name":"ResNet50","score":0.9570000171661377},{"id":"https://openalex.org/keywords/densenet-121","display_name":"DenseNet121","score":0.9990000128746033},{"id":"https://openalex.org/keywords/student-misbehavior","display_name":"student misbehavior","score":0.6800000071525574},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.7850000262260437}],"concepts":[{"id":"https://openalex.org/C2778024590","wikidata":"https://www.wikidata.org/wiki/Q2357432","display_name":"Cheating","level":2,"score":0.9395999908447266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009000182151794},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6901999711990356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6801999807357788},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6087999939918518},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5447999835014343},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C2984771860","wikidata":"https://www.wikidata.org/wiki/Q22645","display_name":"Smart phone","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C2780587575","wikidata":"https://www.wikidata.org/wiki/Q6875295","display_name":"Misconduct","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/20421338.2026.2696943","doi":"https://doi.org/10.1080/20421338.2026.2696943","is_oa":false,"landing_page_url":"https://doi.org/10.1080/20421338.2026.2696943","pdf_url":null,"source":{"id":"https://openalex.org/S2764379878","display_name":"African Journal of Science Technology Innovation and Development","issn_l":"2042-1338","issn":["2042-1338","2042-1346"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"African Journal of Science, Technology, Innovation and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.6164000034332275}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2807567209","https://openalex.org/W2954996726","https://openalex.org/W2963446712","https://openalex.org/W2963459241","https://openalex.org/W2989705574","https://openalex.org/W3074270321","https://openalex.org/W3077420696","https://openalex.org/W3138370395","https://openalex.org/W3140854437","https://openalex.org/W3146366485","https://openalex.org/W4213433011","https://openalex.org/W4220695000","https://openalex.org/W4293773604","https://openalex.org/W4309045649","https://openalex.org/W4321499923","https://openalex.org/W4366773002","https://openalex.org/W4386387351","https://openalex.org/W4388826243","https://openalex.org/W4390280415","https://openalex.org/W4391341773","https://openalex.org/W4392843777","https://openalex.org/W4392902287","https://openalex.org/W4396664279","https://openalex.org/W4396812763","https://openalex.org/W4406048852","https://openalex.org/W7155010092"],"related_works":[],"abstract_inverted_index":{"Educational":[0],"institutions":[1],"experience":[2],"severe":[3],"difficulties":[4],"because":[5,116],"they":[6],"need":[7],"to":[8,50,54,97,138,153,182],"find":[9],"methods":[10,93,132],"which":[11,24,39,72,108,129,180],"detect":[12,183],"cheating":[13,78],"that":[14,80,104,145],"occurs":[15],"during":[16],"tests.":[17],"The":[18,32,64,100,142,164],"research":[19,166],"develops":[20,167],"an":[21,110,168],"automated":[22,149],"system":[23,33,49],"efficiently":[25],"detects":[26],"student":[27],"misconduct":[28],"in":[29,61,160,191],"exam":[30,150],"situations.":[31,194],"uses":[34,66,109],"pre-existing":[35,178],"deep":[36],"learning":[37],"models":[38],"include":[40,81],"ResNet50":[41,106],"and":[42,57,69,87,125],"DenseNet121":[43],"together":[44],"with":[45,177],"a":[46,67,74],"channel":[47],"attention":[48,111,175],"improve":[51],"its":[52,95,172],"capacity":[53],"extract":[55],"features":[56],"achieve":[58],"higher":[59],"accuracy":[60,135],"classification":[62],"tasks.":[63],"model":[65],"training":[68],"testing":[70],"process":[71],"employs":[73],"dataset":[75],"containing":[76],"various":[77],"activities":[79],"mobile":[82],"phone":[83],"usage,":[84],"paper":[85],"exchange":[86],"suspicious":[88],"movements,":[89],"while":[90,156],"data":[91],"augmentation":[92],"enhance":[94],"ability":[96],"generalize":[98],"results.":[99],"experimental":[101],"results":[102,115,190],"show":[103],"the":[105,146],"model,":[107],"mechanism,":[112],"reaches":[113],"better":[114],"it":[117],"achieves":[118],"96.7%":[119],"accuracy,":[120],"95.3%":[121],"precision,":[122],"94.7%":[123],"recall,":[124],"95.0%":[126],"F1":[127],"score,":[128],"exceeds":[130],"existing":[131],"by":[133],"5.7%":[134],"when":[136],"compared":[137],"traditional":[139],"feature-based":[140],"approaches.":[141],"study":[143],"demonstrates":[144],"framework":[147],"enables":[148],"monitoring":[151],"systems":[152],"function":[154],"correctly":[155],"improving":[157],"their":[158],"performance":[159],"real-world":[161],"academic":[162],"applications.":[163],"current":[165],"original":[169],"contribution":[170],"through":[171],"combination":[173],"of":[174],"mechanisms":[176],"models,":[179],"helps":[181],"hidden":[184],"behavioural":[185],"patterns":[186],"for":[187],"improved":[188],"detection":[189],"difficult":[192],"examination":[193]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2026-08-26T00:00:00"}