{"id":"https://openalex.org/W4401246494","doi":"https://doi.org/10.1109/tii.2024.3431045","title":"An Efficient YOLOv8-Based Model With Cross-Level Path Aggregation Enabling Personal Protective Equipment Detection","display_name":"An Efficient YOLOv8-Based Model With Cross-Level Path Aggregation Enabling Personal Protective Equipment Detection","publication_year":2024,"publication_date":"2024-08-02","ids":{"openalex":"https://openalex.org/W4401246494","doi":"https://doi.org/10.1109/tii.2024.3431045"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3431045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3431045","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5100401076","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0001-9702-0435"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-9702-0435","affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103907606","display_name":"Yu Zhu","orcid":"https://orcid.org/0009-0002-3405-5619"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["Control science and engineering with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0002-3405-5619","affiliations":[{"raw_affiliation_string":"Control science and engineering with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038744496","display_name":"Zhaoxiang Ji","orcid":"https://orcid.org/0000-0003-3142-7421"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxiang Ji","raw_affiliation_strings":["Electronic information with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3142-7421","affiliations":[{"raw_affiliation_string":"Electronic information with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020485102","display_name":"Siying Liu","orcid":"https://orcid.org/0009-0005-6504-1326"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siying Liu","raw_affiliation_strings":["Control science and engineering with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0005-6504-1326","affiliations":[{"raw_affiliation_string":"Control science and engineering with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003648732","display_name":"Y. F. Zhang","orcid":"https://orcid.org/0009-0009-4285-1966"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Zhang","raw_affiliation_strings":["Electronic information with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0009-4285-1966","affiliations":[{"raw_affiliation_string":"Electronic information with Xi&#x0027;an University of Science and Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":2.8144,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90992882,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"20","issue":"11","first_page":"13003","last_page":"13014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9664999842643738,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9664999842643738,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5326786637306213},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4577362537384033},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21597859263420105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5326786637306213},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4577362537384033},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21597859263420105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3431045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3431045","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7441470112","display_name":null,"funder_award_id":"51804249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2531409750","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W3153299910","https://openalex.org/W4220832258","https://openalex.org/W4225709684","https://openalex.org/W4367146864","https://openalex.org/W4385732479","https://openalex.org/W4386047745","https://openalex.org/W4386076325","https://openalex.org/W4389570778","https://openalex.org/W4391986043","https://openalex.org/W6843259600"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Personal":[0],"protective":[1],"equipment":[2],"(PPE)":[3],"detection":[4],"is":[5,54,64,90,108,138],"an":[6,60],"effective":[7],"means":[8],"to":[9,70,92,118,143,176],"reduce":[10],"potential":[11],"safety":[12,200],"hazards":[13],"in":[14,33,140],"intelligence":[15],"monitoring":[16],"for":[17,56,125,191,197],"disaster":[18],"prevention":[19],"and":[20,31,43,81,171,188],"security":[21],"management.":[22],"Addressing":[23],"the":[24,34,67,72,94,111,116,120,141,145,150,157,173],"limitations":[25],"of":[26,38,74,100,115,122,169],"existing":[27],"methods,":[28],"manual":[29],"observation":[30],"inspection":[32],"high-risk":[35],"working":[36],"environment":[37],"coal":[39,198],"mines":[40],"are":[41],"challenging":[42],"time-consuming.":[44],"Thus,":[45],"a":[46,85,103,129,165,182],"novel":[47,130],"deep":[48],"learning":[49],"model":[50,159],"based":[51],"on":[52,97],"YOLOv8":[53],"proposed":[55,158,179],"PPE":[57,192],"detection.":[58],"First,":[59],"omnidimensional":[61],"dynamic":[62],"convolution":[63,137],"introduced":[65],"into":[66,110],"backbone":[68],"network,":[69],"avoid":[71],"generation":[73],"redundant":[75],"features,":[76],"thereby":[77],"reducing":[78,172],"network":[79],"parameters":[80],"computational":[82,146,186],"complexity.":[83],"Meanwhile,":[84],"simple,":[86],"parameter-free":[87],"attention":[88],"module":[89],"added":[91],"enhance":[93],"model's":[95],"focus":[96],"critical":[98],"features":[99],"equipment.":[101],"Second,":[102],"bottom-up":[104],"cross-level":[105],"path":[106],"aggregation":[107],"incorporated":[109],"feature":[112,123],"fusion":[113],"structure":[114],"Neck":[117],"minimize":[119],"loss":[121],"information":[124],"small":[126],"targets.":[127],"Finally,":[128],"convolutional":[131],"connectivity":[132],"integrated":[133],"with":[134],"depthwise":[135],"separable":[136],"applied":[139],"Head":[142],"balance":[144],"burden":[147],"brought":[148],"by":[149],"improved":[151],"modules.":[152],"Experimental":[153],"results":[154],"demonstrate":[155],"that":[156],"outperforms":[160],"other":[161],"state-of-the-art":[162],"approaches:":[163],"achieving":[164],"mean":[166],"average":[167],"precision":[168],"92.68%,":[170],"parameter":[174],"quantity":[175],"9.09M.":[177],"The":[178],"approach":[180],"achieves":[181],"desired":[183],"tradeoff":[184],"between":[185],"speed":[187],"recognition":[189],"accuracy":[190],"detection,":[193],"providing":[194],"robust":[195],"support":[196],"mining":[199],"production.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
