{"id":"https://openalex.org/W4408611350","doi":"https://doi.org/10.1109/icaiic64266.2025.10920746","title":"Comparison of Deep Learning Models for Singlsyn Defect Detection and Classification","display_name":"Comparison of Deep Learning Models for Singlsyn Defect Detection and Classification","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4408611350","doi":"https://doi.org/10.1109/icaiic64266.2025.10920746"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic64266.2025.10920746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5116697797","display_name":"Manida Bhonsawanwong","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Manida Bhonsawanwong","raw_affiliation_strings":["Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116697798","display_name":"Akarima Pengubon","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Akarima Pengubon","raw_affiliation_strings":["Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047898262","display_name":"Noboru Sonehara","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Noboru Sonehara","raw_affiliation_strings":["Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022068296","display_name":"Akihisa Kodate","orcid":null},"institutions":[{"id":"https://openalex.org/I183594015","display_name":"Tsuda University","ror":"https://ror.org/027mg2511","country_code":"JP","type":"education","lineage":["https://openalex.org/I183594015"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akihisa Kodate","raw_affiliation_strings":["Institute for Policy Studies, Tsuda University,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Institute for Policy Studies, Tsuda University,Tokyo,Japan","institution_ids":["https://openalex.org/I183594015"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Masamichi Nakamura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114880","display_name":"Nippon Seiki (Japan)","ror":"https://ror.org/01g4se167","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210114880"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masamichi Nakamura","raw_affiliation_strings":["Tamagawa Seiki Co., Ltd.,Production Engineering Department,Nagano,Japan"],"affiliations":[{"raw_affiliation_string":"Tamagawa Seiki Co., Ltd.,Production Engineering Department,Nagano,Japan","institution_ids":["https://openalex.org/I4210114880"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kazuto Kojima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kazuto Kojima","raw_affiliation_strings":["University Invitation and Cooperation, Promotion Office, Iida City Government,Nagano,Japan"],"affiliations":[{"raw_affiliation_string":"University Invitation and Cooperation, Promotion Office, Iida City Government,Nagano,Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018940753","display_name":"Nagul Cooharojananone","orcid":"https://orcid.org/0000-0003-4023-5165"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nagul Cooharojananone","raw_affiliation_strings":["Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Faculty of Science,Department of Mathematics and Computer Science,Bangkok,Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5116697797"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06003629,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"0264","last_page":"0269"},"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":0.9383000135421753,"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":0.9383000135421753,"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":0.6631371974945068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5695026516914368},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5527061820030212},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44125068187713623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631371974945068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5695026516914368},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5527061820030212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44125068187713623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic64266.2025.10920746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic64266.2025.10920746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3171625744","https://openalex.org/W4321194910","https://openalex.org/W4379874956","https://openalex.org/W4386126725","https://openalex.org/W4400188921"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3082895349"],"abstract_inverted_index":{"The":[0,77,101],"use":[1],"of":[2,41,46,89],"computers":[3],"for":[4,80],"inspecting":[5],"Singlsyn":[6],"parts":[7,34,117],"before":[8],"shipment":[9],"has":[10],"resulted":[11],"in":[12,59,112],"occasional":[13],"errors":[14],"when":[15],"distinguishing":[16],"between":[17,61],"usable":[18],"(OK)":[19],"and":[20,57,63,115],"non-usable":[21],"(NG)":[22],"parts.":[23],"Initially,":[24],"the":[25,47,55,99,105,109],"company's":[26],"classification":[27],"system":[28],"exhibited":[29],"inaccuracies,":[30],"sometimes":[31],"misclassifying":[32],"OK":[33,62,114],"as":[35],"NG,":[36],"achieving":[37],"an":[38],"accuracy":[39,56,79,111],"rate":[40],"90%,":[42],"necessitating":[43],"manual":[44],"sorting":[45],"misclassified":[48],"parts,":[49],"which":[50],"was":[51,83],"time-consuming.":[52],"To":[53],"enhance":[54],"efficiency":[58],"differentiating":[60],"NG":[64,116],"parts-an":[65],"inherently":[66],"challenging":[67],"task-deep":[68],"learning":[69],"techniques":[70],"were":[71,92],"introduced,":[72],"particularly":[73],"object":[74],"detection":[75],"methods.":[76],"target":[78],"this":[81],"research":[82],"set":[84],"at":[85],"97%.":[86],"A":[87],"total":[88],"eight":[90],"models":[91],"tested,":[93],"with":[94],"various":[95],"parameters":[96],"adjusted":[97],"throughout":[98],"process.":[100],"SSD-Mobilenet-V2-FPNLite-320":[102],"model":[103],"delivered":[104],"best":[106],"results,":[107],"improving":[108],"system's":[110],"detecting":[113],"from":[118],"90%":[119],"to":[120],"99.58%.":[121]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}