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NTIS 바로가기한국산업정보학회논문지 = Journal of the Korea Industrial Information Systems Research, v.27 no.6, 2022년, pp.77 - 93
유진영 ((주)씨에스리 데이터엔지니어링팀) , 이준희 ((주)씨에스리 데이터엔지니어링팀) , 하광림 ((주)씨에스리 AI엔지니어링사업부) , 정용철 ((주)씨에스리 데이터엔지니어링팀)
In this study, we present an algorithm that analyzes the risk by reflecting regional characteristics for factors affected by direct and indirect damage from heavy-snow. Factors affected by heavy-snow damage by 29 regions are selected as influencing variables, and the concept of sensitivity is derive...
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