{"id":"https://openalex.org/W4393974774","doi":"https://doi.org/10.11591/ijai.v13.i2.pp1838-1844","title":"A lightweight YOLOv5 for real-time dangerous weapons detection","display_name":"A lightweight YOLOv5 for real-time dangerous weapons detection","publication_year":2024,"publication_date":"2024-04-05","ids":{"openalex":"https://openalex.org/W4393974774","doi":"https://doi.org/10.11591/ijai.v13.i2.pp1838-1844"},"language":"en","primary_location":{"id":"doi:10.11591/ijai.v13.i2.pp1838-1844","doi":"https://doi.org/10.11591/ijai.v13.i2.pp1838-1844","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/ijai.v13.i2.pp1838-1844","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23590/13984","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23590/13984","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081608555","display_name":"Aicha Khalfaoui","orcid":"https://orcid.org/0009-0004-4585-7005","observed_orcids":["https://orcid.org/0009-0004-4585-7005"]},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Aicha Khalfaoui","raw_affiliation_strings":["University Hassan II Casablanca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hassan II Casablanca","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046297134","display_name":"Abdelmajid Badri","orcid":"https://orcid.org/0000-0001-8074-8286","observed_orcids":["https://orcid.org/0000-0001-8074-8286"]},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdelmajid Badri","raw_affiliation_strings":["University Hassan II Casablanca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hassan II Casablanca","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067003778","display_name":"Ilham El Mourabit","orcid":"https://orcid.org/0000-0002-6179-3919","observed_orcids":["https://orcid.org/0000-0002-6179-3919"]},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Ilham El Mourabit","raw_affiliation_strings":["University Hassan II Casablanca"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hassan II Casablanca","institution_ids":["https://openalex.org/I99297268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99297268"],"apc_list":null,"apc_paid":null,"fwci":0.1066,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27642692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"13","issue":"2","first_page":"1838","last_page":"1838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0,"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/yolov5","display_name":"YOLOv5","score":0.8460000157356262},{"id":"https://openalex.org/keywords/lightweight-object-detection","display_name":"lightweight object detection","score":0.8870000243186951},{"id":"https://openalex.org/keywords/ghostnet","display_name":"GhostNet","score":0.9559999704360962},{"id":"https://openalex.org/keywords/real-time-detection","display_name":"real-time detection","score":0.722000002861023},{"id":"https://openalex.org/keywords/embedded-deployment","display_name":"embedded deployment","score":0.6859999895095825},{"id":"https://openalex.org/keywords/model-compression","display_name":"model compression","score":0.7450000047683716},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.5490000247955322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7835829257965088},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4814964532852173},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43170514702796936},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3385326862335205}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/ijai.v13.i2.pp1838-1844","doi":"https://doi.org/10.11591/ijai.v13.i2.pp1838-1844","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/ijai.v13.i2.pp1838-1844","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23590/13984","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/ijai.v13.i2.pp1838-1844","doi":"https://doi.org/10.11591/ijai.v13.i2.pp1838-1844","is_oa":true,"landing_page_url":"http://dx.doi.org/10.11591/ijai.v13.i2.pp1838-1844","pdf_url":"https://ijai.iaescore.com/index.php/IJAI/article/download/23590/13984","source":{"id":"https://openalex.org/S2764408626","display_name":"IAES International Journal of Artificial Intelligence","issn_l":"2089-4872","issn":["2089-4872","2252-8938"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IAES International Journal of Artificial Intelligence (IJ-AI)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393974774.pdf","grobid_xml":"https://content.openalex.org/works/W4393974774.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1642182753","https://openalex.org/W2531409750","https://openalex.org/W2560757589","https://openalex.org/W2570343428","https://openalex.org/W2612445135","https://openalex.org/W2624777067","https://openalex.org/W2778203997","https://openalex.org/W2796347433","https://openalex.org/W2883102611","https://openalex.org/W2922030436","https://openalex.org/W2963125010","https://openalex.org/W2974320575","https://openalex.org/W2990230185","https://openalex.org/W3004469560","https://openalex.org/W3015023488","https://openalex.org/W3018757597","https://openalex.org/W3035414587","https://openalex.org/W3042011474","https://openalex.org/W3087567483","https://openalex.org/W3132626268","https://openalex.org/W4214817912","https://openalex.org/W4309787609","https://openalex.org/W4394670654"],"related_works":["https://openalex.org/W4402126982","https://openalex.org/W7196956459","https://openalex.org/W3172127690","https://openalex.org/W4413312726","https://openalex.org/W4385841894","https://openalex.org/W4281781281","https://openalex.org/W4406261727","https://openalex.org/W3203127093","https://openalex.org/W7117532556","https://openalex.org/W4413886711"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"are":[3,43],"currently":[4],"employed":[5],"to":[6,34,70,95,147],"detect":[7],"weapons,":[8],"and":[9,26,59,90,113,175,177],"although":[10],"these":[11,41,97],"techniques":[12],"provide":[13],"a":[14,27,109,124,140,154,169],"high":[15,87],"level":[16],"of":[17,53,57,108,111,120,126,171,180],"accuracy,":[18],"it":[19,32,81],"still":[20],"suffers":[21],"from":[22],"large":[23],"weight":[24],"parameters":[25,58,89,182],"slow":[28],"inference":[29],"speed.":[30],"When":[31],"comes":[33],"real-world":[35],"applications,":[36],"such":[37,85],"as":[38,86,139],"weapon":[39,133],"detection,":[40],"methods":[42],"often":[44],"not":[45],"suitable":[46],"for":[47,77],"deployment":[48],"on":[49,130],"embedded":[50],"devices.":[51],"Because":[52],"the":[54,71,118,121,131,144,148,151,158,178],"huge":[55],"number":[56,179],"poor":[60],"efficiency.":[61],"The":[62],"most":[63],"recent":[64],"object":[65],"detection":[66,93],"technique,":[67,123],"which":[68,135],"belongs":[69],"YOLOv5":[72,112],"class,":[73],"is":[74,104,136],"commonly":[75,137],"used":[76,138],"detecting":[78],"weapons.":[79],"However,":[80],"faces":[82],"some":[83],"difficulties":[84],"computational":[88],"an":[91,99],"unfavorable":[92],"rate.":[94],"solve":[96],"shortcomings.":[98],"enhanced":[100],"lightweight":[101],"Yolov5s":[102],"approach":[103],"suggested.":[105],"Which":[106],"consists":[107],"combination":[110],"GhostNet":[114],"modules.":[115],"To":[116],"evaluate":[117],"efficacy":[119],"suggested":[122],"set":[125],"experiments":[127],"was":[128],"performed":[129],"Sohas":[132],"dataset.,":[134],"reference":[141],"dataset":[142],"in":[143,157,173],"field.":[145],"Compared":[146],"original":[149],"YOLOv5,":[150],"results":[152],"indicate":[153],"slight":[155],"increase":[156],"proposed":[159],"model's":[160],"mean":[161],"Average":[162],"Precision":[163],"(mAP).":[164],"Furthermore,":[165],"there":[166],"has":[167,183],"been":[168],"reduction":[170],"2.7":[172],"GFLOPs":[174],"weights,":[176],"model":[181],"decreased":[184],"by":[185],"1.42.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-04-06T00:00:00"}
