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방재시스템
Application of Neural Networks to Predict Daecheong Dam Water Levels
Yong Min Ryu, Eui Hoon Lee
J. Korean Soc. Hazard Mitig. 2022;22(1):67-78.  Published online February 24, 2022
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Development of a Cloud-Based Real-Time Building Health Monitoring and Prediction System Using AI and IoT Sensors
Chang-Wan Ha, Byungtae Ahn, Young-Sik Shin, Jinseong Park, Jai-Kyung Lee, Jungjip Kim
J. Korean Soc. Hazard Mitig. 2021;21(6):31-39.  Published online December 28, 2021
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기후변화방재
Development of Heatwave Probability Prediction Model Based on Recurrent Neural Network: A Case of Seoul Metropolitan Government
Dongwook Kim, Cho-Rok Jang, Jung-Yun Cho, Moon-Yup Jang, Juil Song
J. Korean Soc. Hazard Mitig. 2021;21(5):49-57.  Published online October 27, 2021
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하천방재
Flood Stage Forecasting at the Gurye-Gyo Station in Sumjin River Using LSTM-Based Deep Learning Models
Jaewon Jung, Hyelim Mo, Junhyeong Lee, Younghoon Yoo, Hung Soo Kim
J. Korean Soc. Hazard Mitig. 2021;21(3):193-201.  Published online June 25, 2021
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소방방재
A Study on the Real-time Fire Classification Algorithm Based on Stacked LSTM
Yoseob Heo, Seongho Seo, We Shim, Jongseok Kang
J. Korean Soc. Hazard Mitig. 2021;21(3):93-104.  Published online June 25, 2021
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Prediction of River Water Level Using Deep-Learning Open Library
Sungho Jung, Daeeop Lee, Kyoungsang Lee
J. Korean Soc. Hazard Mitig. 2018;18(1):1-11. Special Issue  Published online January 31, 2018
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