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NTIS 바로가기한국건설관리학회논문집 = Korean journal of construction engineering and management, v.22 no.5, 2021년, pp.73 - 85
김하영 (이화여자대학교 건축도시시스템공학과) , 장예은 (이화여자대학교 건축도시시스템공학과) , 강현빈 (이화여자대학교 건축도시시스템공학과) , 손정욱 (이화여자대학교 건축도시시스템공학과) , 이준성 (이화여자대학교 건축도시시스템공학과)
This study proposes an efficient management direction for Korean construction accident cases through a deep learning-based text data classification model. A deep learning model was developed, which categorizes five categories of construction accidents: fall, electric shock, flying object, collapse, ...
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