{"id":"https://openalex.org/W4381662843","doi":"https://doi.org/10.3390/s23125768","title":"Two-Stream Network One-Class Classification Model for Defect Inspections","display_name":"Two-Stream Network One-Class Classification Model for Defect Inspections","publication_year":2023,"publication_date":"2023-06-20","ids":{"openalex":"https://openalex.org/W4381662843","doi":"https://doi.org/10.3390/s23125768","pmid":"https://pubmed.ncbi.nlm.nih.gov/37420932"},"language":"en","primary_location":{"id":"doi:10.3390/s23125768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23125768","pdf_url":"https://www.mdpi.com/1424-8220/23/12/5768/pdf?version=1687268690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/12/5768/pdf?version=1687268690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100428044","display_name":"Seunghun Lee","orcid":"https://orcid.org/0000-0002-4348-7993"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seunghun Lee","raw_affiliation_strings":["Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea","Sambo Technology, 90 Centum Jungang-ro, Haeundae-gu, Busan 48059, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]},{"raw_affiliation_string":"Sambo Technology, 90 Centum Jungang-ro, Haeundae-gu, Busan 48059, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101182775","display_name":"Chenglong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chenglong Luo","raw_affiliation_strings":["Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102526578","display_name":"Sungkwan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungkwan Lee","raw_affiliation_strings":["Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea","Sambo Technology, 90 Centum Jungang-ro, Haeundae-gu, Busan 48059, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]},{"raw_affiliation_string":"Sambo Technology, 90 Centum Jungang-ro, Haeundae-gu, Busan 48059, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085750592","display_name":"Hoeryong Jung","orcid":"https://orcid.org/0000-0001-7080-6630"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hoeryong Jung","raw_affiliation_strings":["Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-7080-6630","affiliations":[{"raw_affiliation_string":"Division of Mechanical and Aerospace Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085750592"],"corresponding_institution_ids":["https://openalex.org/I24062138"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3832,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66294708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"23","issue":"12","first_page":"5768","last_page":"5768"},"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":0.9987000226974487,"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":0.9987000226974487,"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":0.9957000017166138,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.982699990272522,"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/decision-boundary","display_name":"Decision boundary","score":0.6352697014808655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6060338020324707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5848665833473206},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5653865933418274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47911834716796875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4743967056274414},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.44360771775245667},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4408451318740845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36336690187454224},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2746986150741577}],"concepts":[{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.6352697014808655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6060338020324707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5848665833473206},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5653865933418274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47911834716796875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4743967056274414},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.44360771775245667},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4408451318740845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36336690187454224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2746986150741577},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D045483","descriptor_name":"Rivers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D045483","descriptor_name":"Rivers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D045483","descriptor_name":"Rivers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23125768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23125768","pdf_url":"https://www.mdpi.com/1424-8220/23/12/5768/pdf?version=1687268690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37420932","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37420932","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10300695","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10300695","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10300695/pdf/sensors-23-05768.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:37f40b76b6d84324bebb47210c42e501","is_oa":true,"landing_page_url":"https://doaj.org/article/37f40b76b6d84324bebb47210c42e501","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 12, p 5768 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/12/5768/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23125768","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 12; Pages: 5768","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23125768","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23125768","pdf_url":"https://www.mdpi.com/1424-8220/23/12/5768/pdf?version=1687268690","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321372","display_name":"Konkuk University","ror":"https://ror.org/025h1m602"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381662843.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1965833531","https://openalex.org/W1967541402","https://openalex.org/W1970088130","https://openalex.org/W2006825483","https://openalex.org/W2183341477","https://openalex.org/W2531409750","https://openalex.org/W2551429935","https://openalex.org/W2564755587","https://openalex.org/W2767106145","https://openalex.org/W2783748519","https://openalex.org/W2963820951","https://openalex.org/W2981845603","https://openalex.org/W2982083293","https://openalex.org/W2990064013","https://openalex.org/W3013989817","https://openalex.org/W3015821169","https://openalex.org/W3024889357","https://openalex.org/W3036833780","https://openalex.org/W3089819260","https://openalex.org/W3095886304","https://openalex.org/W3100280481","https://openalex.org/W3105939760","https://openalex.org/W3109126404","https://openalex.org/W3127276455","https://openalex.org/W3135077060","https://openalex.org/W3147184966","https://openalex.org/W3159315196","https://openalex.org/W3165012668","https://openalex.org/W3185165902","https://openalex.org/W3186516637","https://openalex.org/W3196497390","https://openalex.org/W3203146146","https://openalex.org/W3209713683","https://openalex.org/W4220828048","https://openalex.org/W4221101697","https://openalex.org/W4281249799","https://openalex.org/W4285299996","https://openalex.org/W4297142801","https://openalex.org/W4310398126","https://openalex.org/W4311378018","https://openalex.org/W4318830464","https://openalex.org/W4319597842","https://openalex.org/W6774611950","https://openalex.org/W6809555534"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405","https://openalex.org/W184442817","https://openalex.org/W2009611918","https://openalex.org/W2814966788","https://openalex.org/W1983643426"],"abstract_inverted_index":{"Defect":[0],"inspection":[1,21,43,143],"is":[2,68,119],"important":[3],"to":[4,51,103,188],"ensure":[5],"consistent":[6],"quality":[7],"and":[8,63,107,136,157,183,191],"efficiency":[9],"in":[10,27,121,152],"industrial":[11],"manufacturing.":[12],"Recently,":[13],"machine":[14],"vision":[15],"systems":[16],"integrating":[17],"artificial":[18],"intelligence":[19],"(AI)-based":[20],"algorithms":[22],"have":[23],"exhibited":[24],"promising":[25],"performance":[26,114],"various":[28],"applications,":[29],"but":[30],"practically,":[31],"they":[32],"often":[33],"suffer":[34],"from":[35,101,158],"data":[36],"imbalance.":[37],"This":[38],"paper":[39],"proposes":[40],"a":[41,46,87,153,159,169],"defect":[42,128],"method":[44],"using":[45,148],"one-class":[47],"classification":[48,134,171],"(OCC)":[49],"model":[50,96,118,177],"deal":[52],"with":[53,86,166],"imbalanced":[54],"datasets.":[55],"A":[56],"two-stream":[57,94,137],"network":[58,95,138],"architecture":[59,139],"consisting":[60],"of":[61,77,115,125,132,168],"global":[62],"local":[64,89],"feature":[65,84,90],"extractor":[66],"networks":[67],"presented,":[69],"which":[70],"can":[71,178],"alleviate":[72],"the":[73,92,98,104,116,122,133,141,175,180],"representation":[74],"collapse":[75],"problem":[76],"OCC.":[78],"By":[79],"combining":[80],"an":[81,109],"object-oriented":[82],"invariant":[83],"vector":[85],"training-data-oriented":[88],"vector,":[91],"proposed":[93,117,176],"prevents":[97],"decision":[99,111],"boundary":[100],"collapsing":[102],"training":[105],"dataset":[106],"obtains":[108],"appropriate":[110],"boundary.":[112],"The":[113,130,162],"demonstrated":[120],"practical":[123],"application":[124],"automotive-airbag":[126],"bracket-welding":[127],"inspection.":[129],"effects":[131],"layer":[135],"on":[140],"overall":[142],"accuracy":[144],"were":[145],"clarified":[146],"by":[147,186],"image":[149],"samples":[150],"collected":[151],"controlled":[154],"laboratory":[155],"environment":[156],"production":[160],"site.":[161],"results":[163],"are":[164],"compared":[165],"those":[167],"previous":[170],"model,":[172],"demonstrating":[173],"that":[174],"improve":[179],"accuracy,":[181],"precision,":[182],"F1":[184],"score":[185],"up":[187],"8.19%,":[189],"10.74%,":[190],"4.02%,":[192],"respectively.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
