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List of works by Jie Dou

An Expression for Velocity Lag in Sediment-Laden Open-Channel Flows Based on Tsallis Entropy Together with the Principle of Maximum Entropy

scientific article published on 23 May 2019

An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan

scholarly article by Jie Dou et al published 19 May 2015 in Natural Hazards

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

scientific article published on 21 January 2019

Automatic detection of sinkhole collapses at finer resolutions using a multi-component remote sensing approach

Changes in the two-dimensional and perimeter-based fractal dimensions of kaolinite flocs during flocculation: a simple experimental study

scientific article published on 01 February 2018

Evaluating Different Methods for Determining the Velocity-Dip Position over the Entire Cross Section and at the Centerline of a Rectangular Open Channel

scientific article published on 28 May 2020

Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques

scientific article published on 23 August 2019

Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images

scientific article published on 21 June 2019

Modelling the Hindered Settling Velocity of a Falling Particle in a Particle-Fluid Mixture by the Tsallis Entropy Theory

scientific article published on 11 January 2019

On the Kaolinite Floc Size at the Steady State of Flocculation in a Turbulent Flow

scientific article

Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan

scientific article (publication date: 2015)

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

scientific article published on 16 April 2020

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