{"id":"https://openalex.org/W4412198842","doi":"https://doi.org/10.3390/make7030064","title":"Helmet Detection in Underground Coal Mines via Dynamic Background Perception with Limited Valid Samples","display_name":"Helmet Detection in Underground Coal Mines via Dynamic Background Perception with Limited Valid Samples","publication_year":2025,"publication_date":"2025-07-09","ids":{"openalex":"https://openalex.org/W4412198842","doi":"https://doi.org/10.3390/make7030064"},"language":"en","primary_location":{"id":"doi:10.3390/make7030064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7030064","pdf_url":"https://www.mdpi.com/2504-4990/7/3/64/pdf?version=1752065366","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/7/3/64/pdf?version=1752065366","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101709196","display_name":"Guangfu Wang","orcid":"https://orcid.org/0000-0002-3704-9065"},"institutions":[{"id":"https://openalex.org/I4210165649","display_name":"China Coal Research Institute (China)","ror":"https://ror.org/05dy2c135","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210165649"]},{"id":"https://openalex.org/I4210133666","display_name":"Tiandi Science & Technology (China)","ror":"https://ror.org/03ssr6t63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangfu Wang","raw_affiliation_strings":["Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","institution_ids":["https://openalex.org/I4210133666"]},{"raw_affiliation_string":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]},{"raw_affiliation_string":"State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102633586","display_name":"Dazhi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133666","display_name":"Tiandi Science & Technology (China)","ror":"https://ror.org/03ssr6t63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133666"]},{"id":"https://openalex.org/I4210165649","display_name":"China Coal Research Institute (China)","ror":"https://ror.org/05dy2c135","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210165649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhi Sun","raw_affiliation_strings":["Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","institution_ids":["https://openalex.org/I4210133666"]},{"raw_affiliation_string":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006635936","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-0824-6518"},"institutions":[{"id":"https://openalex.org/I4210165649","display_name":"China Coal Research Institute (China)","ror":"https://ror.org/05dy2c135","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210165649"]},{"id":"https://openalex.org/I4210133666","display_name":"Tiandi Science & Technology (China)","ror":"https://ror.org/03ssr6t63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","institution_ids":["https://openalex.org/I4210133666"]},{"raw_affiliation_string":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]},{"raw_affiliation_string":"State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113012130","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0002-9805-8870"},"institutions":[{"id":"https://openalex.org/I4210133666","display_name":"Tiandi Science & Technology (China)","ror":"https://ror.org/03ssr6t63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133666"]},{"id":"https://openalex.org/I4210165649","display_name":"China Coal Research Institute (China)","ror":"https://ror.org/05dy2c135","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210165649"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","institution_ids":["https://openalex.org/I4210133666"]},{"raw_affiliation_string":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]},{"raw_affiliation_string":"State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042050240","display_name":"Pengpeng Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165649","display_name":"China Coal Research Institute (China)","ror":"https://ror.org/05dy2c135","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210165649"]},{"id":"https://openalex.org/I4210133666","display_name":"Tiandi Science & Technology (China)","ror":"https://ror.org/03ssr6t63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Yan","raw_affiliation_strings":["Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","institution_ids":["https://openalex.org/I4210133666"]},{"raw_affiliation_string":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457022","display_name":"He\u2010Ping Li","orcid":"https://orcid.org/0000-0002-3149-757X"},"institutions":[{"id":"https://openalex.org/I4210133666","display_name":"Tiandi Science & Technology (China)","ror":"https://ror.org/03ssr6t63","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210133666"]},{"id":"https://openalex.org/I4210165649","display_name":"China Coal Research Institute (China)","ror":"https://ror.org/05dy2c135","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210165649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heping Li","raw_affiliation_strings":["Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China"],"affiliations":[{"raw_affiliation_string":"Beijing Technology Research Branch, Tiandi Science and Technology Co., Ltd., Beijing 100013, China","institution_ids":["https://openalex.org/I4210133666"]},{"raw_affiliation_string":"Research Institute of Mine Artificial Intelligence, Chinese Institute of Coal Science, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]},{"raw_affiliation_string":"State Key Laboratory for Intelligent Coal Mining and Strata Control, Beijing 100013, China","institution_ids":["https://openalex.org/I4210165649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113012130"],"corresponding_institution_ids":["https://openalex.org/I4210133666","https://openalex.org/I4210165649"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.7193,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84718086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"7","issue":"3","first_page":"64","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9746000170707703,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coal-mining","display_name":"Coal mining","score":0.769264280796051},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5266520977020264},{"id":"https://openalex.org/keywords/mining-engineering","display_name":"Mining engineering","score":0.4299764931201935},{"id":"https://openalex.org/keywords/coal","display_name":"Coal","score":0.40190809965133667},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3568897843360901},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3474022150039673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3405824303627014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3311207890510559},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2889382839202881},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2499927580356598},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24657639861106873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2130657136440277},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.18397316336631775}],"concepts":[{"id":"https://openalex.org/C108615695","wikidata":"https://www.wikidata.org/wiki/Q12880211","display_name":"Coal mining","level":3,"score":0.769264280796051},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5266520977020264},{"id":"https://openalex.org/C16674752","wikidata":"https://www.wikidata.org/wiki/Q1370637","display_name":"Mining engineering","level":1,"score":0.4299764931201935},{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.40190809965133667},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3568897843360901},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3474022150039673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3405824303627014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3311207890510559},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2889382839202881},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2499927580356598},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24657639861106873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2130657136440277},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.18397316336631775},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/make7030064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7030064","pdf_url":"https://www.mdpi.com/2504-4990/7/3/64/pdf?version=1752065366","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8466ebf4f3c840d4ba7cdaeb0b865911","is_oa":true,"landing_page_url":"https://doaj.org/article/8466ebf4f3c840d4ba7cdaeb0b865911","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 7, Iss 3, p 64 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/make7030064","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make7030064","pdf_url":"https://www.mdpi.com/2504-4990/7/3/64/pdf?version=1752065366","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6559021862","display_name":null,"funder_award_id":"2023YFC2907600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412198842.pdf","grobid_xml":"https://content.openalex.org/works/W4412198842.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2031489346","https://openalex.org/W2183182206","https://openalex.org/W2193145675","https://openalex.org/W2570343428","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2895126795","https://openalex.org/W2935850529","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W3014367186","https://openalex.org/W3106250896","https://openalex.org/W3186033197","https://openalex.org/W4382280593","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W4388823657","https://openalex.org/W4392089963","https://openalex.org/W4392293659","https://openalex.org/W4398810114","https://openalex.org/W4402727675","https://openalex.org/W4402754006","https://openalex.org/W4405569410","https://openalex.org/W6739901393","https://openalex.org/W6757804589","https://openalex.org/W6776172991","https://openalex.org/W6868582632","https://openalex.org/W6922791679"],"related_works":["https://openalex.org/W2375677716","https://openalex.org/W2365913310","https://openalex.org/W2360414980","https://openalex.org/W2375599394","https://openalex.org/W2360530914","https://openalex.org/W2377388210","https://openalex.org/W2361569508","https://openalex.org/W2381456208","https://openalex.org/W2980194784","https://openalex.org/W2359673469"],"abstract_inverted_index":{"The":[0,111,310],"underground":[1,22,49,89,109,126,175,241,258,324,340],"coal":[2,242,325],"mine":[3,326],"environment":[4],"is":[5],"complex":[6,174,257],"and":[7,76,122,145,185,269,274,281,302,307,335],"dynamic,":[8],"making":[9],"the":[10,33,43,55,65,77,116,137,158,170,190,195,204,210,218,221,226,248,291,337],"application":[11],"of":[12,21,36,45,54,67,79,102,118,139,173,198,214,238,278,299,339],"visual":[13,119],"algorithms":[14],"for":[15,70,108,148,331],"object":[16,288],"detection":[17,47,91,150,191,205,231,237,267,289,297,322],"a":[18,28,87,99,161,183,261],"crucial":[19],"component":[20],"safety":[23,329],"management":[24],"as":[25,27,64],"well":[26],"key":[29],"factor":[30],"in":[31,42,48,125,189,225,240,256,264,296,313,323],"ensuring":[32],"safe":[34],"operation":[35],"workers.":[37,110],"We":[38],"look":[39],"at":[40],"this":[41,84,314],"context":[44],"helmet-wearing":[46,90,149,178,200,239,254,321],"mines,":[50],"where":[51],"over":[52,304],"25%":[53],"targets":[56],"are":[57],"small":[58,81,199,253],"objects.":[59],"To":[60],"address":[61],"challenges":[62],"such":[63],"lack":[66],"effective":[68],"samples":[69,104,141,147],"unworn":[71],"helmets,":[72],"significant":[73],"background":[74,96,162,265],"interference,":[75],"difficulty":[78],"detecting":[80],"helmet":[82,215],"targets,":[83],"paper":[85,315],"proposes":[86],"novel":[88],"algorithm":[92,112,159,219,250,293,311],"that":[93,247],"combines":[94],"dynamic":[95],"awareness":[97,163],"with":[98,165,260],"limited":[100],"number":[101,138],"valid":[103],"to":[105,168,193,285,319],"improve":[106],"accuracy":[107,298],"begins":[113],"by":[114,142,202],"analyzing":[115,209],"distribution":[117,213],"surveillance":[120],"data":[121,130],"spatial":[123],"biases":[124],"environments.":[127],"By":[128,208],"using":[129],"augmentation":[131],"techniques,":[132],"it":[133,181,234],"then":[134],"effectively":[135],"expands":[136],"training":[140],"introducing":[143],"positive":[144],"negative":[146],"from":[151],"ordinary":[152],"scenes.":[153],"Thereafter,":[154],"based":[155],"on":[156,177],"YOLOv10,":[157,306],"incorporates":[160],"module":[164,188],"region":[166],"masks":[167],"reduce":[169],"adverse":[171],"effects":[172],"backgrounds":[176],"detection.":[179],"Specifically,":[180],"adds":[182],"convolution":[184],"attention":[186],"fusion":[187],"head":[192],"enhance":[194],"model\u2019s":[196],"perception":[197],"objects":[201,255],"enlarging":[203],"receptive":[206],"field.":[207],"aspect":[211,222],"ratio":[212,223],"wearing":[216],"data,":[217],"improves":[220],"constraints":[224],"loss":[227],"function,":[228],"further":[229],"enhancing":[230,336],"accuracy.":[232],"Consequently,":[233],"achieves":[235],"precise":[236],"mines.":[243],"Experimental":[244],"results":[245],"demonstrate":[246],"proposed":[249,292,312],"can":[251,316],"detect":[252],"scenes,":[259,327],"14%":[262],"reduction":[263],"false":[266],"rates,":[268],"thereby":[270],"achieving":[271],"accuracy,":[272],"recall,":[273],"average":[275],"precision":[276],"rates":[277],"94.4%,":[279],"89%,":[280],"95.4%,":[282],"respectively.":[283,309],"Compared":[284],"other":[286],"mainstream":[287],"algorithms,":[290],"shows":[294],"improvements":[295],"6.7%,":[300],"5.1%,":[301],"11.8%":[303],"YOLOv9,":[305],"RT-DETR,":[308],"be":[317],"applied":[318],"real-time":[320],"providing":[328],"alerts":[330],"standardized":[332],"worker":[333],"operations":[334],"level":[338],"security":[341],"intelligence.":[342]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
