{"id":"https://openalex.org/W7126255029","doi":"https://doi.org/10.1142/s0219691326500062","title":"Conditional GAN-based approach for socket panel surface defect inspection","display_name":"Conditional GAN-based approach for socket panel surface defect inspection","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7126255029","doi":"https://doi.org/10.1142/s0219691326500062"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691326500062","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691326500062","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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":"Gang Wang","orcid":"https://orcid.org/0000-0001-5283-7126"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["School of Computer and Data Engineering, NingboTech University, Ningbo, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-5283-7126","affiliations":[{"raw_affiliation_string":"School of Computer and Data Engineering, NingboTech University, Ningbo, P. R. China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124385965","display_name":"Weiman Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiman Xiao","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi, P. R. China"],"raw_orcid":"https://orcid.org/0009-0004-3880-6349","affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi, P. R. China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091761286","display_name":"Y. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugui Zhang","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0009-0002-5685-2408","affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084203901","display_name":"Xuekai Wei","orcid":"https://orcid.org/0000-0002-3761-1759"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuekai Wei","raw_affiliation_strings":["School of Computer Science, Chongqing University, Chongqing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-3761-1759","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University, Chongqing, P. R. China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091335601","display_name":"Jielu Yan","orcid":"https://orcid.org/0000-0001-8342-7453"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jielu Yan","raw_affiliation_strings":["School of Computer Science, Chongqing University, Chongqing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-8342-7453","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University, Chongqing, P. R. China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124431445","display_name":"Mingliang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Zhou","raw_affiliation_strings":["School of Computer Science, Chongqing University, Chongqing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-1874-3641","affiliations":[{"raw_affiliation_string":"School of Computer Science, Chongqing University, Chongqing, P. R. China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yuanyan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuanyan Tang","raw_affiliation_strings":["Faculty of Science and Technology, University of Macau, Macau, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-6887-130X","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Macau, Macau, P. R. China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11684617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"02","first_page":null,"last_page":null},"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":0.8597999811172485,"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":0.8597999811172485,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.050599999725818634,"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"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.012000000104308128,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7063999772071838},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.5853000283241272},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5507000088691711},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5250999927520752},{"id":"https://openalex.org/keywords/subtractive-color","display_name":"Subtractive color","score":0.5040000081062317},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.439300000667572},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42730000615119934}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7063999772071838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6807000041007996},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.5853000283241272},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5507000088691711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440999865531921},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5389000177383423},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5250999927520752},{"id":"https://openalex.org/C150799807","wikidata":"https://www.wikidata.org/wiki/Q374081","display_name":"Subtractive color","level":2,"score":0.5040000081062317},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.439300000667572},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3294999897480011},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.260699987411499},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691326500062","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691326500062","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5415540933609009,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1975902706","https://openalex.org/W2020327315","https://openalex.org/W2058333183","https://openalex.org/W2152590893","https://openalex.org/W2565639579","https://openalex.org/W2884585870","https://openalex.org/W2954996726","https://openalex.org/W2964095005","https://openalex.org/W3011919060","https://openalex.org/W3084912670","https://openalex.org/W3119633737","https://openalex.org/W3137404293","https://openalex.org/W3189052839","https://openalex.org/W3191453585","https://openalex.org/W4255421341","https://openalex.org/W4372348745","https://openalex.org/W4387603617","https://openalex.org/W4390452560","https://openalex.org/W4391184555","https://openalex.org/W4394987702","https://openalex.org/W4400033693","https://openalex.org/W4408564664","https://openalex.org/W4408697712","https://openalex.org/W4410642586"],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"industrial":[1,54],"component":[2,14],"inspection":[3],"methods":[4],"rely":[5],"primarily":[6],"on":[7,10,37,165],"creating":[8],"templates":[9],"the":[11,77,81,89,96,111,120,133,138,141,155,170],"basis":[12],"of":[13,23,48,60,88,145,172],"shape":[15],"and":[16,46,114,119,131,143,161,179],"color":[17],"features,":[18],"resulting":[19],"in":[20,53,169],"high":[21,177],"rates":[22],"missed":[24],"defects.":[25],"To":[26],"reduce":[27],"this":[28],"rate,":[29],"we":[30],"propose":[31],"a":[32,58,70],"defect":[33],"detection":[34,45,82,142],"algorithm":[35,157],"based":[36],"Conditional":[38],"Generative":[39],"Adversarial":[40],"Networks":[41],"(GANs)":[42],"for":[43,80],"high-precision":[44],"identification":[47],"random":[49],"two-dimensional":[50],"surface":[51],"defects":[52,147,163],"defective":[55,90],"products.":[56],"First,":[57],"dataset":[59],"identical":[61],"socket":[62,166],"panels":[63,167],"was":[64,74],"constructed":[65],"through":[66],"data":[67],"augmentation.":[68],"Next,":[69],"conditional":[71],"GAN":[72],"(pix2pix)":[73],"employed":[75],"as":[76],"backbone":[78],"architecture":[79],"model.":[83],"This":[84],"generated":[85],"repaired":[86,117],"images":[87,98],"panels,":[91],"which":[92],"were":[93,106,126,148],"subtracted":[94],"from":[95,109,123],"original":[97],"to":[99],"produce":[100],"difference":[101,139],"maps.":[102],"Sobel":[103],"edge":[104,121,134],"features":[105,122],"subsequently":[107],"extracted":[108],"both":[110,124],"input":[112],"image":[113],"its":[115],"corresponding":[116],"image,":[118],"sources":[125],"differentially":[127],"processed.":[128],"By":[129],"weighting":[130],"fusing":[132],"feature":[135],"differences":[136],"with":[137],"map,":[140],"localization":[144],"panel":[146],"achieved.":[149],"The":[150],"experimental":[151],"results":[152],"validate":[153],"that":[154],"proposed":[156],"can":[158],"efficiently":[159],"detect":[160],"locate":[162],"precisely":[164],"even":[168],"presence":[171],"reflective":[173],"interference":[174],"while":[175],"maintaining":[176],"accuracy":[178],"reliability.":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-01T00:00:00"}