{"id":"https://openalex.org/W2919155211","doi":"https://doi.org/10.1145/3297156.3297199","title":"A Dangerous Goods Detection Approach Based on YOLOv3","display_name":"A Dangerous Goods Detection Approach Based on YOLOv3","publication_year":2018,"publication_date":"2018-12-08","ids":{"openalex":"https://openalex.org/W2919155211","doi":"https://doi.org/10.1145/3297156.3297199","mag":"2919155211"},"language":"en","primary_location":{"id":"doi:10.1145/3297156.3297199","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297199","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","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":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","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/A5035358869","display_name":"Chenyu Xu","orcid":"https://orcid.org/0000-0002-5385-2173"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenyu Xu","raw_affiliation_strings":["Lanzhou University, Lanzhou, Gansu"],"affiliations":[{"raw_affiliation_string":"Lanzhou University, Lanzhou, Gansu","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028233799","display_name":"Ning Han","orcid":"https://orcid.org/0009-0004-7847-6161"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Han","raw_affiliation_strings":["Lanzhou University, Lanzhou, Gansu"],"affiliations":[{"raw_affiliation_string":"Lanzhou University, Lanzhou, Gansu","institution_ids":["https://openalex.org/I76214153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100708468","display_name":"Hongxin Li","orcid":"https://orcid.org/0000-0003-4951-9770"},"institutions":[{"id":"https://openalex.org/I76214153","display_name":"Lanzhou University","ror":"https://ror.org/01mkqqe32","country_code":"CN","type":"education","lineage":["https://openalex.org/I76214153"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxin Li","raw_affiliation_strings":["Lanzhou University, Lanzhou, Gansu"],"affiliations":[{"raw_affiliation_string":"Lanzhou University, Lanzhou, Gansu","institution_ids":["https://openalex.org/I76214153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035358869"],"corresponding_institution_ids":["https://openalex.org/I76214153"],"apc_list":null,"apc_paid":null,"fwci":0.6018,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77158136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"600","last_page":"603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7377859354019165},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6529767513275146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706397891044617},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5186845064163208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4928755760192871},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46255674958229065},{"id":"https://openalex.org/keywords/dangerous-goods","display_name":"Dangerous goods","score":0.44612377882003784},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32011207938194275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2067267894744873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14795160293579102},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.13205206394195557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377859354019165},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6529767513275146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706397891044617},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5186845064163208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4928755760192871},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46255674958229065},{"id":"https://openalex.org/C2776371148","wikidata":"https://www.wikidata.org/wiki/Q757138","display_name":"Dangerous goods","level":2,"score":0.44612377882003784},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32011207938194275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2067267894744873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14795160293579102},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.13205206394195557}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3297156.3297199","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297156.3297199","pdf_url":null,"source":{"id":"https://openalex.org/S4306523626","display_name":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","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":"Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/282030","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/282030","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/402190","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/402190","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference article (CA)"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/277255","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/277255","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/286090","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/286090","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1570987937","https://openalex.org/W1923115158","https://openalex.org/W1963701492","https://openalex.org/W2004549383","https://openalex.org/W2102605133","https://openalex.org/W2160224651","https://openalex.org/W2161969291","https://openalex.org/W2162359196","https://openalex.org/W2163352848","https://openalex.org/W2333569648","https://openalex.org/W2541302333","https://openalex.org/W2613718673","https://openalex.org/W2796347433","https://openalex.org/W2951433694","https://openalex.org/W2963037989","https://openalex.org/W4238975334"],"related_works":["https://openalex.org/W3102515593","https://openalex.org/W2735406411","https://openalex.org/W2915266342","https://openalex.org/W2993481718","https://openalex.org/W2350767540","https://openalex.org/W2999947692","https://openalex.org/W874155339","https://openalex.org/W2793035649","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"In":[0,51,91],"modern":[1],"life,":[2],"safety":[3,36,63],"inspection":[4,37],"plays":[5],"an":[6],"indispensable":[7],"role":[8],"at":[9],"almost":[10],"every":[11],"corner":[12],"of":[13,21,35,48,111,127,132,144],"the":[14,18,46,52,104,116,130,142],"society.":[15],"Owing":[16],"to":[17,42,88,107],"rapid":[19],"growth":[20],"urban":[22],"population":[23],"and":[24,74],"travel":[25],"demand,":[26],"people's":[27],"requirement":[28],"for":[29],"security":[30],"is":[31,72,86],"growing.":[32],"The":[33,148],"measures":[34],"changes":[38],"from":[39],"manual":[40],"work":[41],"auxiliary":[43],"machinery":[44],"in":[45,62,69,125,159],"wake":[47],"scientific-technical":[49],"progress.":[50],"recent":[53],"decades,":[54],"as":[55],"X-ray":[56,70],"scanners":[57],"have":[58],"been":[59],"widely":[60],"used":[61],"inspection,":[64],"real-time":[65],"dangerous":[66,79],"goods":[67,80],"detection":[68,97,109],"images":[71,118],"more":[73,75],"important.":[76],"However,":[77],"some":[78],"are":[81,123],"so":[82],"small":[83,112,160],"that":[84,122,152],"it":[85],"difficult":[87],"detect":[89],"them.":[90],"this":[92],"paper,":[93],"we":[94,140],"present":[95],"a":[96],"method":[98,154],"based":[99],"on":[100],"YOLOv3":[101,136,158],"which":[102],"preprocess":[103],"data":[105],"sets":[106],"improve":[108],"accuracy":[110],"objects.":[113],"We":[114],"divide":[115],"original":[117],"into":[119],"several":[120],"sub-images":[121],"mainly":[124],"size":[126],"416\u00d7416":[128],"by":[129],"contours":[131],"luggage.":[133],"By":[134],"training":[135],"with":[137],"these":[138],"sub-images,":[139],"reduce":[141],"errors":[143],"resizing":[145],"input":[146],"images.":[147],"experiment":[149],"results":[150],"show":[151],"our":[153],"perform":[155],"better":[156],"than":[157],"object":[161],"detection.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
