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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
DOI:
https://doi.org/10.9798/KOSHAM.2024.24.1.83
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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
DOI:
https://doi.org/10.9798/KOSHAM.2023.23.6.325
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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
DOI:
https://doi.org/10.9798/KOSHAM.2023.23.2.29
Cited By 1
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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
DOI:
https://doi.org/10.9798/KOSHAM.2022.22.5.9
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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
DOI:
https://doi.org/10.9798/KOSHAM.2022.22.4.127
Cited By 1
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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
DOI:
https://doi.org/10.9798/KOSHAM.2022.22.3.179
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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
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.5.165
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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
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.3.193
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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
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.2.195
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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
DOI:
https://doi.org/10.9798/KOSHAM.2020.20.3.247
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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
DOI:
https://doi.org/10.9798/KOSHAM.2020.20.1.9
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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
DOI:
https://doi.org/10.9798/KOSHAM.2019.19.6.115
Cited By 2
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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
DOI:
https://doi.org/10.9798/KOSHAM.2019.19.4.1
Cited By 2
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도시방재
Predictive Modeling of Pavement Damage Using Machine Learning and Big Data Processing
Dowan Kim, Jinho Jeon, Damryung Kim
J. Korean Soc. Hazard Mitig.
2019;19(1):95-107. Published online February 28, 2019
DOI:
https://doi.org/10.9798/KOSHAM.2019.19.1.95
Cited By 2
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기후변화방재
Disaster Prediction and Policy Simulation for Evaluating Mitigation Effects Using Machine Learning and System Dynamics: Case Study of Seasonal Drought in Gyeonggi Province
Haekyung Park, Dongkun Lee
J. Korean Soc. Hazard Mitig.
2019;19(1):45-53. Published online February 28, 2019
DOI:
https://doi.org/10.9798/KOSHAM.2019.19.1.45
Cited By 1
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ABOUT
Aims and scope
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ARTICLE CATEGORY
건축물방재
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기상방재
방재시스템
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Browse all articles >
BROWSE ARTICLES
Current issue
All issues
Most view
Most download
Most cited
J. Korean Soc. Hazard Mitig Search
Author index
AUTHOR INFORMATION
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E-submission
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