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풍수해방재
Crossroads Traffic Data Analysis Using Drone-Based Deep Learning
TaeWon Lee, SaeJun Park, JaeChul Oh, Dae-Hung Kang
J. Korean Soc. Hazard Mitig.
2024;24(1):73-82. Published online February 23, 2024
DOI:
https://doi.org/10.9798/KOSHAM.2024.24.1.73
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소방방재
CCTV Map Creation Method for Improving Fire Location Estimation
Kyeongsin Kang, Ohsung Kwon, Wanho Cho, Seungun Chae, Jisun You
J. Korean Soc. Hazard Mitig.
2024;24(1):41-47. Published online February 23, 2024
DOI:
https://doi.org/10.9798/KOSHAM.2024.24.1.41
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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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소방방재
Research on Deep learning based Ultrasonic Image Learning to Develop a Gas Leak Detection Model
Yunjeong Gu, Kwanghyun Park, Wonhee Lee, Byunghun Song, Jungpyo Hong, Junho Shin
J. Korean Soc. Hazard Mitig.
2023;23(6):135-143. Published online December 22, 2023
DOI:
https://doi.org/10.9798/KOSHAM.2023.23.6.135
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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
DOI:
https://doi.org/10.9798/KOSHAM.2022.22.1.67
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지반방재
Evaluation of Neural Network Model for Estimating Pile Load Capacity
Byungsik Lee
J. Korean Soc. Hazard Mitig.
2021;21(5):221-228. Published online October 27, 2021
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.5.221
Cited By 1
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Application of Deterministic Method for Landslide Susceptibility with Deep Learning
Dae-Hong Min, Hyung-Koo Yoon
J. Korean Soc. Hazard Mitig.
2021;21(5):203-211. Published online October 27, 2021
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.5.203
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시설물방재
Impact Assessment of Bridge Damage Detection Based on Deep Learning According to Number and Location of Accelerometer Installations
Kanghyeok Lee, Sung-Han Sim, Do Hyoung Shin
J. Korean Soc. Hazard Mitig.
2021;21(5):183-190. Published online October 27, 2021
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.5.183
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지반방재
Convolutional Neural Network Model for Estimating Clogging of Ash-Mixed Sand Filters
Byungsik Lee
J. Korean Soc. Hazard Mitig.
2021;21(4):159-168. Published online August 27, 2021
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.4.159
Cited By 1
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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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지진방재
Structural Response Estimation Using Gated Recurrent Unit
Geonyeol Jeon, Jaehyung Park, Jongwon Jung, Hyungchul Yoon
J. Korean Soc. Hazard Mitig.
2021;21(3):171-179. Published online June 25, 2021
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.3.171
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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
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.3.93
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방재시스템
Anomaly Detection in Reservoir Water Level Data Using the LSTM Model Based on Deep Learning
Mi-Hye Yang, Won-Ho Nam, Han-Joong Kim, Taegon Kim, An-Kook Shin, Mun-Sung Kang
J. Korean Soc. Hazard Mitig.
2021;21(1):71-81. Published online February 28, 2021
DOI:
https://doi.org/10.9798/KOSHAM.2021.21.1.71
Cited By 2
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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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ABOUT
Aims and scope
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Browse all articles >
BROWSE ARTICLES
Current issue
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Most view
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J. Korean Soc. Hazard Mitig Search
Author index
AUTHOR INFORMATION
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