{"id":"https://openalex.org/W4404481059","doi":"https://doi.org/10.1145/3687488.3687523","title":"Research on insulator defect detection based on YOLOv7 improvement","display_name":"Research on insulator defect detection based on YOLOv7 improvement","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4404481059","doi":"https://doi.org/10.1145/3687488.3687523"},"language":"en","primary_location":{"id":"doi:10.1145/3687488.3687523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687488.3687523","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 4th International Conference on Control and Intelligent Robotics","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/A5114691774","display_name":"Biqi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biqi Yang","raw_affiliation_strings":["Shenyang Ligong University, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0009-0002-7775-2764","affiliations":[{"raw_affiliation_string":"Shenyang Ligong University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I116036724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114691775","display_name":"Lizhong Zhu","orcid":"https://orcid.org/0009-0004-2175-2436"},"institutions":[{"id":"https://openalex.org/I116036724","display_name":"Shenyang Ligong University","ror":"https://ror.org/03m20nr07","country_code":"CN","type":"education","lineage":["https://openalex.org/I116036724"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhong Zhu","raw_affiliation_strings":["Shenyang Ligong University, Shenyang, Liaoning, China"],"raw_orcid":"https://orcid.org/0009-0004-2175-2436","affiliations":[{"raw_affiliation_string":"Shenyang Ligong University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I116036724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116036724"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19455203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9761999845504761,"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"}},"topics":[{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9761999845504761,"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"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9603000283241272,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9532999992370605,"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":0.49045035243034363},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.32013991475105286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49045035243034363},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.32013991475105286}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687488.3687523","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687488.3687523","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 4th International Conference on Control and Intelligent Robotics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2897772777","https://openalex.org/W2953106684","https://openalex.org/W3194700752","https://openalex.org/W3216889554","https://openalex.org/W4281790833","https://openalex.org/W4293584584","https://openalex.org/W4299545679","https://openalex.org/W4321784536","https://openalex.org/W4403242653"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2016187641","https://openalex.org/W2805339068","https://openalex.org/W4246450666","https://openalex.org/W4388998267","https://openalex.org/W2898370298","https://openalex.org/W2137437058","https://openalex.org/W4390401159"],"abstract_inverted_index":{"In":[0],"response":[1],"to":[2,45,120,162],"the":[3,25,29,37,40,47,66,73,86,101,108,127,130,144,152,180],"shortcomings":[4],"and":[5,31,52,64,93,104,133,164],"challenges":[6],"associated":[7],"with":[8,24],"insulator":[9,17,34,57,147,167],"identification":[10],"techniques,":[11],"a":[12,82,140,160,170],"refined":[13,153,157],"system":[14],"for":[15,69,81,179],"detecting":[16],"defects":[18],"based":[19],"on":[20,100],"YOLOv7":[21,154],"is":[22],"advanced":[23],"goal":[26],"of":[27,33,39,49,75,85,107,146,173,182],"enhancing":[28],"precision":[30,48,106,145],"efficiency":[32],"identification.":[35],"Primarily,":[36],"incorporation":[38],"ACmix":[41],"attention":[42],"mechanism":[43],"serves":[44],"refine":[46],"data":[50],"transmission":[51],"feature":[53],"fusion":[54],"in":[55,122,143],"extracting":[56],"defect":[58,148],"attributes,":[59],"consequently":[60],"diminishing":[61],"computational":[62],"costs":[63],"fortifying":[65],"model's":[67,131],"capacity":[68,161],"edge":[70],"detection.":[71],"Furthermore,":[72],"introduction":[74],"three":[76],"distinct":[77],"loss":[78,88,91,95,112],"functions":[79],"allows":[80],"comparative":[83],"analysis":[84],"IoU":[87],"function,":[89,92,96],"CIoU":[90],"SIoU":[94,111],"investigating":[97],"their":[98],"impacts":[99],"convergence":[102],"rate":[103],"detection":[105,149],"model.":[109,155],"The":[110],"function":[113],"emerges":[114],"as":[115],"particularly":[116],"adept":[117],"at":[118],"adapting":[119],"variations":[121],"target":[123],"dimensions":[124],"by":[125,151],"minimizing":[126],"disparity":[128],"between":[129],"predicted":[132],"actual":[134],"values.":[135],"Noteworthy":[136],"experimental":[137],"findings":[138],"underscore":[139],"3.6%":[141],"enhancement":[142],"afforded":[150],"This":[156],"approach":[158],"demonstrates":[159],"accurately":[163],"efficiently":[165],"discern":[166],"flaws":[168],"within":[169],"vast":[171],"array":[172],"images,":[174],"thus":[175],"offering":[176],"invaluable":[177],"insights":[178],"management":[181],"power":[183],"systems.":[184]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}