{"id":"https://openalex.org/W4406611645","doi":"https://doi.org/10.1109/smc54092.2024.10831942","title":"RFSD-YOLO: An Enhanced X-Ray Object Detection Model for Prohibited Items","display_name":"RFSD-YOLO: An Enhanced X-Ray Object Detection Model for Prohibited Items","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406611645","doi":"https://doi.org/10.1109/smc54092.2024.10831942"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5091303936","display_name":"Xiaotong Kong","orcid":"https://orcid.org/0000-0002-3540-6233"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotong Kong","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016226762","display_name":"Aimin Li","orcid":"https://orcid.org/0000-0003-3687-4378"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Li","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363910","display_name":"Wenqiang Li","orcid":"https://orcid.org/0000-0003-3696-1893"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Li","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079169706","display_name":"Zhiyao Li","orcid":"https://orcid.org/0009-0004-0137-6760"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyao Li","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009874821","display_name":"Yuechen Zhang","orcid":"https://orcid.org/0009-0000-9112-0216"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuechen Zhang","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41873138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4412","last_page":"4418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.8817999958992004,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.8817999958992004,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8292999863624573,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.7764999866485596,"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/computer-science","display_name":"Computer science","score":0.6014890670776367},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5296302437782288},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4580390453338623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3732525110244751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3238752782344818},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11567115783691406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6014890670776367},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5296302437782288},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4580390453338623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3732525110244751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3238752782344818},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11567115783691406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2565639579","https://openalex.org/W2940612399","https://openalex.org/W2964286876","https://openalex.org/W3001083904","https://openalex.org/W3034745255","https://openalex.org/W3091978650","https://openalex.org/W3092955400","https://openalex.org/W3136021864","https://openalex.org/W3194248746","https://openalex.org/W3195997474","https://openalex.org/W4210598935","https://openalex.org/W4312933394","https://openalex.org/W4362703401","https://openalex.org/W4386076325","https://openalex.org/W6628973269","https://openalex.org/W6731892127","https://openalex.org/W6843239693","https://openalex.org/W6850343633"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"X-ray":[0,51,215],"image":[1],"detection":[2,31,107,126,131,150,210],"is":[3,36,43],"essential":[4],"for":[5,46,67,214],"ensuring":[6],"public":[7],"safety,":[8],"but":[9,200],"traditional":[10,125],"methods":[11],"rely":[12],"heavily":[13],"on":[14,38],"human":[15],"analysis":[16],"and":[17,42,80,95,102,109,129,177,182],"are":[18],"relatively":[19],"inefficient.":[20],"To":[21],"address":[22],"this":[23,25],"issue,":[24],"paper":[26],"proposes":[27],"a":[28,117,159],"new":[29,203],"object":[30,149],"model":[32,41,54,91,144,165,173],"called":[33],"RFSD-YOLO,":[34],"which":[35,97,122],"based":[37],"the":[39,56,61,71,75,90,93,124,146,163,195,206],"YOLOv8":[40],"specifically":[44],"designed":[45],"detecting":[47,153],"prohibited":[48,83,154,212],"items":[49,213],"in":[50,152,205],"images.":[52],"The":[53,86,137],"adopts":[55],"RFCAConv":[57],"structure":[58],"instead":[59],"of":[60,89,162,190,197,208,211],"conventional":[62],"convolutional":[63,72],"operation.":[64],"This":[65,171,188],"allows":[66],"independent":[68],"parameterisation":[69],"among":[70],"kernels,":[73],"enhancing":[74],"model's":[76],"ability":[77],"to":[78,99,166,168,186],"capture":[79],"express":[81],"potential":[82],"item":[84],"features.":[85],"neck":[87],"section":[88],"includes":[92],"GSConv":[94],"VoVgscspdesigns,":[96],"aim":[98],"balance":[100],"complexity":[101],"parameter":[103],"size":[104],"while":[105],"maintaining":[106],"performance":[108],"reducing":[110],"computational":[111,135],"burden.":[112],"Additionally,":[113,156],"we":[114,157],"have":[115],"introduced":[116],"dynamic":[118],"head":[119,127],"structure,":[120],"DyHead,":[121],"replaces":[123],"design":[128],"improves":[130,174],"accuracy":[132],"without":[133],"adding":[134],"cost.":[136],"experimental":[138],"results":[139],"demonstrate":[140],"that":[141],"our":[142,198],"enhanced":[143],"surpasses":[145],"current":[147],"state-of-the-art":[148],"models":[151],"items.":[155],"introduce":[158],"simplified":[160],"version":[161],"RFSD-YOLOnano":[164],"cater":[167],"resource-constrained":[169],"environments.":[170],"streamlined":[172],"AP,":[175],"AR,":[176],"mAP":[178],"by":[179],"4.4%,":[180],"14.6%,":[181],"3.4%,":[183],"respectively,":[184],"compared":[185],"YOLOv8n.":[187],"series":[189],"innovations":[191],"not":[192],"only":[193],"validates":[194],"superiority":[196],"model,":[199],"also":[201],"provides":[202],"solutions":[204],"field":[207],"automated":[209],"security":[216],"screening.":[217]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}