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- 지반방재
- Development of a Regression Model for Predicting Ground Subsidence Risk Using Machine Learning
- Sungyeol Lee, Jinyoung Kim, Myeongsik Kong, Jaemo Kang
- J. Korean Soc. Hazard Mitig. 2024;24(6):329-336. Published online December 27, 2024
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- 도시방재
- Development of a Machine-learning-based Framework to Assess the Performance of Water Distribution Systems
- Young Hwan Choi, Min Jun Kim, Teagyun Kim
- J. Korean Soc. Hazard Mitig. 2024;24(5):49-61. Published online October 28, 2024
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- 풍수해방재
- Predicting Damage Characteristics of Heavy Rain Disasters Using Artificial Neural Network
- Youngseok Song, Hyeong Jun Lee, Jinjul Joo, Moojong Park
- J. Korean Soc. Hazard Mitig. 2024;24(1):83-89. Published online February 23, 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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- 산지방재
- Machine Learning for Big Data Analytics in Development of Wildfire Prediction Models
- Chanjung Lee, Mooyoung Lim, Yohan Lee
- J. Korean Soc. Hazard Mitig. 2023;23(2):29-39. Published online April 27, 2023
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- 건축물방재
- Analytical Study on the Prediction of Fire Evacuation Time in Large Complex Buildings Using the Ensemble Learning Technique
- DooHee Lee, HakKyung Kim, Jeon Soo Kim, Hyun Soo Hwang, DooChan Choi
- J. Korean Soc. Hazard Mitig. 2022;22(5):9-17. Published online October 27, 2022
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- 지반방재
- Comparison of Performance of Machine Learning Models for Predicting Compression Index Based on Clay Properties
- Sung Yeol Lee, Jinyoung Kim, Jaemo Kang, Won Kin Baek, Hyeon Jun Yoon
- J. Korean Soc. Hazard Mitig. 2022;22(4):127-134. Published online August 26, 2022
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- Development of the Prediction Model for Saturated Hydraulic Conductivity of Soils Using Artificial Neural Networks
- Jongmuk Won
- J. Korean Soc. Hazard Mitig. 2022;22(3):179-185. Published online June 27, 2022
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- 소방방재
- A Prediction Model of Casualties Based on Machine Learning for Selection of Fire Scenario
- Donggoo Seo, Byunghun Park, Younghyun Lee, Wonhee Lee, Jungjae Kim, Hojun Song
- J. Korean Soc. Hazard Mitig. 2021;21(5):165-173. 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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- 환경방재
- Performance Evaluation of Effective Drought Prediction Using Machine Learning
- Kyosik Kim, Byunghyun Kim, Kun-Yeun Han
- J. Korean Soc. Hazard Mitig. 2021;21(2):195-204. Published online April 28, 2021
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- 풍수해방재
- Improvement of Regional Clustering Using Flood Control Characteristics and t-SNE of Machine Learning
- Hongjun Joo, Jongseong Kim, Jaewon Kwak, Jongso Lee, Jaewon Jung, Hung Soo Kim
- J. Korean Soc. Hazard Mitig. 2020;20(3):247-257. Published online June 30, 2020
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- 교통방재
- Temperature Prediction of Anti-frost Layer using Machine Learning Techniques
- Jaeho Son, Youngwon Seo, Youngmog Park, Gyutae Cho
- J. Korean Soc. Hazard Mitig. 2020;20(1):9-17. Published online February 29, 2020
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- 풍수해방재
- Developing a Prediction Model (Heavy Rain Damage Occurrence Probability) Based on Machine Learning
- Jongsung Kim, Junhyeong Lee, Donghyun Kim, Changhyun Choi, Myungjin Lee, Hung Soo Kim
- J. Korean Soc. Hazard Mitig. 2019;19(6):115-127. Special Issue Published online November 30, 2019
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- 건축물방재
- Determination of Crack Signals Using the Deep Learning Technique Based on a 1D Convolutional Neural Network for Smart Detection of Structural Damage Cracking
- Gyeol Han, Tae-Min Oh, Hyunwoo Kim, Ki-Il Song, Youngchul Kim, Tae-Hyuk Kwon
- J. Korean Soc. Hazard Mitig. 2019;19(4):1-7. Published online August 31, 2019
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