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NTIS 바로가기한국방재학회논문집 = Journal of the Korean Society of Hazard Mitigation, v.21 no.6, 2021년, pp.31 - 39
하창완 (한국기계연구원 인공지능기계연구실) , 안병태 (한국기계연구원 인공지능기계연구실) , 신영식 (한국기계연구원 인공지능기계연구실) , 박진성 (한국기계연구원 인공지능기계연구실) , 이재경 (한국기계연구원 스마트산업기계연구실) , 김정집 (텔코코리아아이에스)
In this study, a cloud-based real-time building health monitoring and prediction system using AI and IoT sensors was developed. To predict the building condition, which constitutes time-series data, statistical-based ARIMA and AI-based LSTM prediction models were designed, and the effectiveness of t...
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