{"id":"https://openalex.org/W4414110839","doi":"https://doi.org/10.1109/tim.2025.3608344","title":"Multiscale Edge-Enhanced Deep Learning for Cable Connection Visual Inspection of Low-Voltage Switchgear","display_name":"Multiscale Edge-Enhanced Deep Learning for Cable Connection Visual Inspection of Low-Voltage Switchgear","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414110839","doi":"https://doi.org/10.1109/tim.2025.3608344"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3608344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3608344","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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":null,"display_name":"Yigeng Wang","orcid":"https://orcid.org/0009-0002-3872-9246"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yigeng Wang","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-3872-9246","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048488557","display_name":"Feng Zou","orcid":"https://orcid.org/0009-0001-1977-3375"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zou","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-1977-3375","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072550679","display_name":"Li-Shin Lai","orcid":"https://orcid.org/0009-0003-9185-3657"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lexuan Lai","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-9185-3657","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103128543","display_name":"Nian Cai","orcid":"https://orcid.org/0000-0001-9757-5748"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nian Cai","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9757-5748","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060089097","display_name":"Wenzhao Liang","orcid":"https://orcid.org/0009-0005-5250-7529"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhao Liang","raw_affiliation_strings":["China Unicom (Guangdong) Industrial Internet Company Ltd., Guangzhou, China","China Unicom (Guangdong) Industrial Internet Co., Ltd, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-5250-7529","affiliations":[{"raw_affiliation_string":"China Unicom (Guangdong) Industrial Internet Company Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I6507939"]},{"raw_affiliation_string":"China Unicom (Guangdong) Industrial Internet Co., Ltd, Guangzhou, China","institution_ids":["https://openalex.org/I6507939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":2.2251,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89816179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"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":0.9968000054359436,"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":0.9968000054359436,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9679999947547913,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9672999978065491,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6608999967575073},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5600000023841858},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.54339998960495},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.536899983882904},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.531000018119812},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5139999985694885},{"id":"https://openalex.org/keywords/switchgear","display_name":"Switchgear","score":0.48429998755455017},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46140000224113464},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.4593999981880188}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.711899995803833},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6608999967575073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323999762535095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5600000023841858},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.554099977016449},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.54339998960495},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.536899983882904},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.531000018119812},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C93893174","wikidata":"https://www.wikidata.org/wiki/Q1273786","display_name":"Switchgear","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.4593999981880188},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.459199994802475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33009999990463257},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.27149999141693115},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2583000063896179},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3608344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3608344","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1516487848","https://openalex.org/W2062249278","https://openalex.org/W2113325037","https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2302255633","https://openalex.org/W2341528187","https://openalex.org/W2466332079","https://openalex.org/W2565639579","https://openalex.org/W2588595876","https://openalex.org/W2601243251","https://openalex.org/W2916798096","https://openalex.org/W3153043006","https://openalex.org/W4200629514","https://openalex.org/W4210300019","https://openalex.org/W4292787291","https://openalex.org/W4319300268","https://openalex.org/W4367359398","https://openalex.org/W4377699619","https://openalex.org/W4386116222","https://openalex.org/W4388953030","https://openalex.org/W4389776730","https://openalex.org/W4390875043","https://openalex.org/W4390886811","https://openalex.org/W4393148684","https://openalex.org/W4399563378","https://openalex.org/W4399563958"],"related_works":["https://openalex.org/W2124658899","https://openalex.org/W3214650822","https://openalex.org/W2045055986","https://openalex.org/W170792237","https://openalex.org/W2067153282","https://openalex.org/W1938886608","https://openalex.org/W2385524048","https://openalex.org/W2373708451","https://openalex.org/W2889868975","https://openalex.org/W2361822172"],"abstract_inverted_index":{"Correct":[0],"cable":[1,42,47,150],"connection":[2,151],"is":[3,37,84,104,131],"critical":[4],"for":[5,144],"safe":[6],"and":[7,19,27,69],"reliable":[8],"operation":[9],"of":[10,90,160,173],"the":[11,50,53,56,88,91,111,116,122,126,129,158,161],"low-voltage":[12],"switchgear,":[13],"but":[14],"currently":[15],"relies":[16],"on":[17,121,149],"time-consuming":[18],"labor-intensive":[20],"manual":[21],"inspection.":[22],"To":[23],"improve":[24],"inspection":[25,178],"accuracy":[26,172],"efficiency,":[28],"a":[29,45,70,78,134,170],"novel":[30],"multi-scale":[31,71,108],"edge-enhanced":[32],"deep":[33,166],"learning":[34,167],"(MEDL)":[35],"framework":[36],"designed":[38,85,105],"to":[39,86,95,106,119,140,163],"visually":[40],"inspect":[41],"connections":[43],"in":[44,154],"dense":[46],"scenario.":[48],"Specifically,":[49],"MEDL":[51,117,162],"detects":[52],"keypoints":[54,143],"at":[55,110,175],"cable-terminal":[57,112],"junctions":[58,113],"through":[59],"an":[60,64,176],"encoder-decoder":[61],"architecture":[62],"with":[63,133],"edge":[65],"enhancement":[66],"(EE)":[67],"module":[68,83,103],"feature":[72],"extraction":[73],"(MSFE)":[74],"module,":[75],"followed":[76],"by":[77],"matching":[79,127,171],"stage.":[80],"The":[81,101],"EE":[82],"highlight":[87],"edges":[89],"cables,":[92],"which":[93],"can":[94],"some":[96,164],"extent":[97],"suppress":[98],"environmental":[99],"interferences.":[100],"MSFE":[102],"extract":[107],"features":[109],"while":[114],"guiding":[115],"model":[118],"focus":[120],"target":[123],"regions.":[124],"In":[125],"stage,":[128],"HDBSCAN":[130],"combined":[132],"shared":[135],"nearest":[136],"neighbor":[137],"distance":[138],"metric":[139],"cluster":[141],"candidate":[142],"keypoint":[145],"matching.":[146],"Experimental":[147],"results":[148],"images":[152],"acquired":[153],"real-world":[155],"scenarios":[156],"demonstrate":[157],"superiority":[159],"existing":[165],"methods,":[168],"achieving":[169],"0.9463":[174],"acceptable":[177],"speed.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
