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Showing results 1 to 9 of 9

1
A method to develop the input parameter database for site-specific debris flow hazard prediction under extreme rainfall

Vasu, Nikhil Nedumpallile; Lee, Seung-Rae; Lee, Deuk-Hwan; Park, Joonyoung; Chae, Byung-Gon, LANDSLIDES, v.15, no.8, pp.1523 - 1539, 2018-08

2
A regional-scale landslide early warning methodology applying statistical and physically based approaches in sequence

Park, Joon-Young; Lee, Seung-Rae; Lee, Deuk-Hwan; Kim, Yune-Tae; Lee, Ji-Sung, ENGINEERING GEOLOGY, v.260, 2019-10

3
An artificial neural network model to predict debris-flow volumes caused by extreme rainfall in the central region of South Korea

Lee, Deuk-Hwan; Cheon, Enok; Lim, Hwan-Hui; Choi, Shin-Kyu; Kim, Yun-Tae; Lee, Seung-Rae, ENGINEERING GEOLOGY, v.281, pp.105979, 2021-02

4
Assessment of barrier location effect on debris flow based on smoothed particle hydrodynamics (SPH) simulation on 3D terrains

Choi, Shin-Kyu; Park, Joon-Young; Lee, Deuk-Hwan; Lee, Seung-Rae; Kim, Yun-Tae; Kwon, Tae-Hyuk, LANDSLIDES, v.18, no.1, pp.217 - 234, 2021-01

5
Classification of Granite Soils and Prediction of Soil Water Content Using Hyperspectral Visible and Near-Infrared Imaging

Lim, Hwan-Hui; Cheon, Enok; Lee, Deuk-Hwan; Jeon, Jun-Seo; Lee, Seung-Rae, SENSORS, v.20, no.6, 2020-01

6
Determination of average growth rate based on statistical relationships using geomorphological and geotechnical variables in predictive debris flow simulations

Park, Joon-Young; Yoon, Seok; Lee, Deuk-Hwan; Lee, Seung-Rae; Lim, Hwan-Hui, GEOMORPHOLOGY, v.444, 2024-01

7
Development of an initiation criterion for debris flows based on local topographic properties and applicability assessment at a regional scale

Kang, Sinhang; Lee, Seung-Rae; Vasu, Nikhil N.; Park, Joon-Young; Lee, Deuk-Hwan, ENGINEERING GEOLOGY, v.230, pp.64 - 76, 2017-11

8
Hazard Assessment Based on the Combination of DAN3D and Machine Learning Method for Planning Closed-Type Barriers against Debris-Flow

Cheon, Enok; Lee, Seung-Rae; Lee, Deuk-Hwan, WATER, v.12, no.1, pp.170, 2020-01

9
Shallow Landslide Susceptibility Models Based on Artificial Neural Networks Considering the Factor Selection Method and Various Non-Linear Activation Functions

Lee, Deuk-Hwan; Kim, Yun-Tae; Lee, Seung-Rae, REMOTE SENSING, v.12, no.7, 2020-04

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