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Volumn 25, Issue 3, 2013, Pages 367-388

Semiconductor fault detection and classification for yield enhancement and manufacturing intelligence

Author keywords

Data mining; Fault detection and classification (FDC); Manufacturing intelligence; Semiconductor manufacturing; Yield enhancement

Indexed keywords

EMPIRICAL STUDIES; FAULT CLASSIFICATION; FAULT DETECTION AND CLASSIFICATION; MONITORING PROCESS; SEMICONDUCTOR COMPANIES; SEMICONDUCTOR MANUFACTURING; WAFER FABRICATIONS; YIELD ENHANCEMENT;

EID: 84879007805     PISSN: 19366582     EISSN: 19366590     Source Type: Journal    
DOI: 10.1007/s10696-012-9161-4     Document Type: Article
Times cited : (115)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.