{"id":"https://openalex.org/W7130538775","doi":"https://doi.org/10.1109/ictc66702.2025.11388470","title":"DA-VAE: A Semi-Supervised Approach for Anomaly Detection in Microstructure Imaging","display_name":"DA-VAE: A Semi-Supervised Approach for Anomaly Detection in Microstructure Imaging","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W7130538775","doi":"https://doi.org/10.1109/ictc66702.2025.11388470"},"language":null,"primary_location":{"id":"doi:10.1109/ictc66702.2025.11388470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031804755","display_name":"S. LEE","orcid":"https://orcid.org/0009-0007-3316-3454"},"institutions":[{"id":"https://openalex.org/I4210153963","display_name":"Gumi Electronics & Information Technology Research Institute (South Korea)","ror":"https://ror.org/04xtdqy92","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210153963"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungmin Lee","raw_affiliation_strings":["GERI(Gumi Electronics &amp; Information Technology Research Institute),Smart Manufacturing Research Center,Gumi,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GERI(Gumi Electronics &amp; Information Technology Research Institute),Smart Manufacturing Research Center,Gumi,Korea","institution_ids":["https://openalex.org/I4210153963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126401048","display_name":"Dongyong Park","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152654","display_name":"Korea Evaluation Institute of Industrial Technology","ror":"https://ror.org/03z9cwa38","country_code":"KR","type":"government","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210152654"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongyong Park","raw_affiliation_strings":["KITECH Korea Institute of Industrial Technology,Root Technology Support Center,Daegu,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KITECH Korea Institute of Industrial Technology,Root Technology Support Center,Daegu,Korea","institution_ids":["https://openalex.org/I4210152654","https://openalex.org/I89004649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"477","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.593999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.593999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.21279999613761902,"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":0.029200000688433647,"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/autoencoder","display_name":"Autoencoder","score":0.7878000140190125},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6786999702453613},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6748999953269958},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5389000177383423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4794999957084656},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.35749998688697815},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.33160001039505005}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7878000140190125},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6786999702453613},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6748999953269958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5770000219345093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5389000177383423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5081999897956848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4794999957084656},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3260999917984009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3102000057697296},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C87976508","wikidata":"https://www.wikidata.org/wiki/Q1498213","display_name":"Microstructure","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc66702.2025.11388470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc66702.2025.11388470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2296719434","https://openalex.org/W2340896621","https://openalex.org/W2911964244"],"related_works":[],"abstract_inverted_index":{"The":[0,64,101],"DA-VAE":[1,49,84],"model":[2,65,102],"is":[3],"a":[4,56],"semi-supervised":[5],"anomaly":[6],"detection":[7],"framework":[8],"designed":[9],"to":[10],"identify":[11],"defects":[12],"in":[13,17,88,106],"microstructure":[14],"images,":[15],"especially":[16],"contexts":[18],"where":[19],"defective":[20,35],"samples":[21],"are":[22],"scarce.":[23],"In":[24],"manufacturing":[25,114],"environments":[26],"such":[27],"as":[28],"acupuncture":[29],"needle":[30],"production,":[31],"the":[32,38,71],"lack":[33],"of":[34,40],"data":[36,52,99],"hinders":[37],"training":[39],"traditional":[41],"supervised":[42],"models.":[43],"To":[44],"address":[45],"this,":[46],"we":[47],"developed":[48],"by":[50],"combining":[51],"augmentation":[53],"techniques":[54],"with":[55],"Variational":[57],"Autoencoder":[58],"trained":[59],"solely":[60],"on":[61,123],"normal":[62,72],"samples.":[63],"generates":[66],"feature":[67],"representations":[68],"that":[69,83],"capture":[70],"distribution":[73],"and":[74,91,118],"identifies":[75],"anomalies":[76],"through":[77],"deviation":[78],"detection.":[79],"Comparative":[80],"experiments":[81],"show":[82],"outperforms":[85],"conventional":[86],"algorithms":[87],"both":[89],"precision":[90,113],"recall,":[92],"achieving":[93],"robust":[94],"performance":[95],"even":[96],"under":[97],"extreme":[98],"imbalance.":[100],"can":[103],"be":[104],"deployed":[105],"microstructure-based":[107],"quality":[108],"control":[109],"systems":[110],"across":[111],"various":[112],"applications,":[115],"improving":[116],"reliability":[117],"efficiency":[119],"while":[120],"reducing":[121],"reliance":[122],"manual":[124],"inspection.":[125]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-02-20T00:00:00"}
