{"id":"https://openalex.org/W4400947408","doi":"https://doi.org/10.1145/3672919.3672957","title":"Lightweight insulator defect detection algorithm based on improved YOLOv8","display_name":"Lightweight insulator defect detection algorithm based on improved YOLOv8","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4400947408","doi":"https://doi.org/10.1145/3672919.3672957"},"language":"en","primary_location":{"id":"doi:10.1145/3672919.3672957","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","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/A5111267312","display_name":"Mingyue Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyue Tang","raw_affiliation_strings":["School of Mechanical Engineering, Jiangsu University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-6823-8915","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangsu University of Technology, China","institution_ids":["https://openalex.org/I4210144214"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hang Wu","orcid":"https://orcid.org/0009-0007-9503-8720"},"institutions":[{"id":"https://openalex.org/I4210144214","display_name":"Jiangsu University of Technology","ror":"https://ror.org/04jabhf80","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Wu","raw_affiliation_strings":["School of Mechanical Engineering, Jiangsu University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0007-9503-8720","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangsu University of Technology, China","institution_ids":["https://openalex.org/I4210144214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111267312"],"corresponding_institution_ids":["https://openalex.org/I4210144214"],"apc_list":null,"apc_paid":null,"fwci":0.9992,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78394815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"201"},"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":0.8248999714851379,"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":0.8248999714851379,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.7059000134468079,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13715","display_name":"Power Line Inspection Robots","score":0.6644999980926514,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.6505101919174194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4295586049556732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505101919174194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4295586049556732}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3672919.3672957","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3672919.3672957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Cyber Security, Artificial Intelligence and Digital Economy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W6600424091","https://openalex.org/W6604103938"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"transmission":[1,21,64],"lines,":[2,65],"insulators":[3,15,19],"are":[4,23],"one":[5],"of":[6,14,50,61,69,76,98,130,156,191],"the":[7,45,51,58,67,110,128,136,142,153,166],"important":[8,74],"components.":[9],"Due":[10],"to":[11,16,25,35,108,113,126,140],"long-term":[12],"exposure":[13],"harsh":[17],"environments,":[18],"on":[20,87],"lines":[22],"prone":[24],"faults":[26],"such":[27],"as":[28],"flashover":[29],"and":[30,42,47,66,117,144,165],"damage,":[31],"which":[32,186],"can":[33,187],"lead":[34],"a":[36,80,103],"decrease":[37],"in":[38],"their":[39],"insulation":[40],"performance":[41,129],"seriously":[43],"affect":[44],"safe":[46],"stable":[48],"operation":[49],"power":[52,63],"grid.":[53],"Drone":[54],"inspection":[55],"has":[56,159,169],"become":[57],"mainstream":[59],"way":[60],"inspecting":[62],"detection":[68,84,106,158,180,190],"insulator":[70,82,157,192],"defects":[71],"is":[72,90],"an":[73],"part":[75],"drone":[77],"inspection.":[78],"Therefore,":[79],"lightweight":[81,94],"defect":[83],"algorithm":[85,143,175],"based":[86],"improved":[88,174],"YOLOv8":[89],"proposed.":[91],"Firstly,":[92],"use":[93,102,135],"Ghost":[95],"convolution":[96],"instead":[97],"regular":[99],"convolution;":[100],"Then,":[101],"small":[104,115],"object":[105],"head":[107],"enhance":[109],"model's":[111],"ability":[112],"detect":[114],"targets":[116],"improve":[118,127,145],"accuracy;":[119],"Next,":[120],"introduce":[121],"GAM":[122],"(Global":[123],"Attention":[124],"Mechanism)":[125],"deep":[131],"neural":[132],"networks.":[133],"Finally,":[134],"loss":[137],"function":[138],"SIoU":[139],"optimize":[141],"model":[146,167,176],"performance.":[147],"The":[148,173],"experimental":[149],"results":[150],"show":[151],"that":[152],"average":[154],"accuracy":[155,181],"increased":[160],"by":[161,171],"1.2":[162],"percentage":[163],"points,":[164],"size":[168],"decreased":[170],"29.3%.":[172],"not":[177],"only":[178],"improves":[179],"but":[182],"also":[183],"becomes":[184],"lighter,":[185],"achieve":[188],"rapid":[189],"defects.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}