{"id":"https://openalex.org/W4412376074","doi":"https://doi.org/10.51583/ijltemas.2025.140600044","title":"Anomaly Detection Using Convolutional Neural Networks for Crime Prevention: A Deep Learning Approach","display_name":"Anomaly Detection Using Convolutional Neural Networks for Crime Prevention: A Deep Learning Approach","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412376074","doi":"https://doi.org/10.51583/ijltemas.2025.140600044"},"language":"en","primary_location":{"id":"doi:10.51583/ijltemas.2025.140600044","doi":"https://doi.org/10.51583/ijltemas.2025.140600044","is_oa":true,"landing_page_url":"https://doi.org/10.51583/ijltemas.2025.140600044","pdf_url":"https://www.ijltemas.in/submission/online/article/download/2221/1989","source":{"id":"https://openalex.org/S4210212248","display_name":"International Journal of Latest Technology in Engineering Management & Applied Science","issn_l":"2278-2540","issn":["2278-2540"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Latest Technology in Engineering Management & Applied Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.ijltemas.in/submission/online/article/download/2221/1989","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118968708","display_name":"Ms. Noor Unnisa","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ms. Noor Unnisa","raw_affiliation_strings":["Department of CSE Lords Institute of Engineering & Technology Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE Lords Institute of Engineering & Technology Hyderabad, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117785686","display_name":"Mohammed Ehtesham Ul baqui","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Ehtesham Ul baqui","raw_affiliation_strings":["Department of CSE Lords Institute of Engineering & Technology Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE Lords Institute of Engineering & Technology Hyderabad, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5152845986","display_name":"Ms. Vibhavari N","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ms. Vibhavari N","raw_affiliation_strings":["Department of CSE Lords Institute of Engineering & Technology Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE Lords Institute of Engineering & Technology Hyderabad, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102966535","display_name":"Meherin Sultana","orcid":"https://orcid.org/0000-0003-4004-0915","observed_orcids":["https://orcid.org/0000-0003-4004-0915"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ms. Farheen Sultana","raw_affiliation_strings":["Department of CSE Lords Institute of Engineering & Technology Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE Lords Institute of Engineering & Technology Hyderabad, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shaik Irfan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaik Irfan","raw_affiliation_strings":["Department of CSE Lords Institute of Engineering & Technology Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE Lords Institute of Engineering & Technology Hyderabad, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117785686","display_name":"Mohammed Ehtesham Ul baqui","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Mubashir Ul Baqui","raw_affiliation_strings":["Department of CSE Lords Institute of Engineering & Technology Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE Lords Institute of Engineering & Technology Hyderabad, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2487,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50424563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"14","issue":"6","first_page":"356","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9624000191688538,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9624000191688538,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.023800000548362732,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.009399999864399433,"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/anomaly-detection","display_name":"anomaly detection","score":0.890999972820282},{"id":"https://openalex.org/keywords/crime-prevention","display_name":"crime prevention","score":0.9100000262260437},{"id":"https://openalex.org/keywords/surveillance-video-analysis","display_name":"surveillance video analysis","score":0.8240000009536743},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7720000147819519},{"id":"https://openalex.org/keywords/cnn-lstm","display_name":"CNN-LSTM","score":0.9200000166893005},{"id":"https://openalex.org/keywords/3d-convolutional-neural-networks","display_name":"3D convolutional neural networks","score":0.9129999876022339},{"id":"https://openalex.org/keywords/abnormal-behavior-detection","display_name":"abnormal behavior detection","score":0.6620000004768372},{"id":"https://openalex.org/keywords/uav-surveillance","display_name":"UAV surveillance","score":0.8080000281333923},{"id":"https://openalex.org/keywords/smart-city-security","display_name":"smart city security","score":0.7689999938011169},{"id":"https://openalex.org/keywords/ucf-crime-dataset","display_name":"UCF-Crime dataset","score":0.7739999890327454}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.790411651134491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7824247479438782},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.775378942489624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6702812314033508},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6651808023452759},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6545271277427673},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.609112560749054},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5078402161598206},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5010616779327393},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.4765125811100006},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4655006527900696},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4588173031806946},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45001521706581116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2900010347366333},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07754266262054443},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.51583/ijltemas.2025.140600044","doi":"https://doi.org/10.51583/ijltemas.2025.140600044","is_oa":true,"landing_page_url":"https://doi.org/10.51583/ijltemas.2025.140600044","pdf_url":"https://www.ijltemas.in/submission/online/article/download/2221/1989","source":{"id":"https://openalex.org/S4210212248","display_name":"International Journal of Latest Technology in Engineering Management & Applied Science","issn_l":"2278-2540","issn":["2278-2540"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Latest Technology in Engineering Management & Applied Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.51583/ijltemas.2025.140600044","doi":"https://doi.org/10.51583/ijltemas.2025.140600044","is_oa":true,"landing_page_url":"https://doi.org/10.51583/ijltemas.2025.140600044","pdf_url":"https://www.ijltemas.in/submission/online/article/download/2221/1989","source":{"id":"https://openalex.org/S4210212248","display_name":"International Journal of Latest Technology in Engineering Management & Applied Science","issn_l":"2278-2540","issn":["2278-2540"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Latest Technology in Engineering Management & Applied Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7297000288963318,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412376074.pdf","grobid_xml":"https://content.openalex.org/works/W4412376074.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2783882151","https://openalex.org/W2900627348","https://openalex.org/W4404408118","https://openalex.org/W4407894045","https://openalex.org/W4409173827"],"related_works":["https://openalex.org/W7117367964","https://openalex.org/W4396767518","https://openalex.org/W4409495502","https://openalex.org/W7130554888","https://openalex.org/W4412879889","https://openalex.org/W7103983624","https://openalex.org/W4410774030","https://openalex.org/W4412346612","https://openalex.org/W4408855937","https://openalex.org/W7217655534"],"abstract_inverted_index":{"Abstract:":[0],"Anomaly":[1],"detection":[2,132,169],"using":[3,135],"Convolutional":[4],"Neural":[5],"Networks":[6],"(CNNs)":[7],"has":[8],"emerged":[9],"as":[10,98],"a":[11,29],"powerful":[12],"tool":[13],"for":[14,36,89,145],"identifying":[15],"criminal":[16,173],"activities,":[17],"including":[18],"robberies,":[19],"assaults,":[20],"and":[21,40,58,70,79,93,100,119,140,176,204],"homicides,":[22],"within":[23],"surveillance":[24,56,121,148],"environments.":[25,181],"This":[26,150],"research":[27],"presents":[28],"deep":[30,188],"learning-based":[31],"framework":[32,111],"that":[33],"leverages":[34],"CNNs":[35],"spatial":[37],"feature":[38,137],"extraction":[39,138],"combines":[41],"them":[42],"with":[43,165],"temporal":[44,167],"modelling":[45],"to":[46,103,153,191],"recognize":[47],"irregular":[48],"behaviour":[49],"in":[50,65,75,126,196],"public":[51,159],"safety":[52,160],"contexts.":[53],"By":[54],"analysing":[55],"footage":[57],"sensor-based":[59],"data,":[60],"the":[61,154,185],"system":[62],"detects":[63],"anomalies":[64],"movement":[66],"patterns,":[67],"crowd":[68],"density,":[69],"object":[71],"interactions,":[72],"thereby":[73],"aiding":[74],"real-time":[76,141,197],"threat":[77],"assessment":[78],"crime":[80,201],"prevention.":[81],"The":[82,182],"proposed":[83],"method":[84],"utilizes":[85],"pre-trained":[86],"CNN":[87,163],"models":[88],"high-level":[90],"visual":[91],"representation":[92],"integrates":[94],"hybrid":[95],"approaches,":[96],"such":[97],"CNN-LSTM":[99],"3D":[101],"CNNs,":[102],"capture":[104],"spatiotemporal":[105],"dynamics":[106],"of":[107,157,187],"suspicious":[108],"activities.":[109],"Our":[110],"is":[112,133],"tested":[113],"on":[114],"benchmark":[115],"datasets":[116],"like":[117],"UCF-Crime":[118],"UAV":[120],"feeds,":[122],"achieving":[123],"high":[124],"accuracy":[125],"detecting":[127],"abnormal":[128],"behaviour.":[129],"Furthermore,":[130],"anomaly":[131,168],"enhanced":[134],"advanced":[136],"techniques":[139],"classification":[142],"mechanisms":[143],"tailored":[144],"smart":[146],"city":[147],"systems.":[149],"study":[151],"contributes":[152],"evolving":[155],"field":[156],"AI-driven":[158],"by":[161],"integrating":[162],"architectures":[164],"context-aware,":[166],"techniques,":[170],"enabling":[171],"proactive":[172],"activity":[174],"prediction":[175],"continuous":[177],"learning":[178],"from":[179],"dynamic":[180],"results":[183],"demonstrate":[184],"potential":[186],"neural":[189],"networks":[190],"support":[192],"law":[193],"enforcement":[194],"agencies":[195],"monitoring,":[198],"ultimately":[199],"reducing":[200],"response":[202],"times":[203],"enhancing":[205],"urban":[206],"security":[207],"infrastructures.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}