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풍수해방재
Evaluating Design Flood Levels Using a Machine Learning-based Costal Compound Flood Level Model
Kyunghun Kim, Seonuk Baek, Duckgil Kim, Hung Soo Kim
J. Korean Soc. Hazard Mitig. 2024;24(4):185-194.  Published online August 29, 2024
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환경방재
Prediction of the DO Factor at Bugok Bridge, Oncheoncheon, Using Deep Learning
Heesung Lim, Hyunuk An, Jaenam Lee, Hyungjin Shin, Nagweon Choi, Jingul Joo
J. Korean Soc. Hazard Mitig. 2023;23(6):325-333.  Published online December 22, 2023
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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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대상
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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