Jie Dou
Jie Dou
Public Works Research Institute (PWRI), Japan
Verified email at pwri.go.jp
TitleCited byYear
An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan
J Dou, H Yamagishi, HR Pourghasemi, AP Yunus, X Song, Y Xu, Z Zhu
Natural Hazards, 1-28, 2015
Automatic case-based reasoning approach for landslide detection: integration of object-oriented image analysis and a genetic algorithm
J Dou, KT Chang, S Chen, A Yunus, JK Liu, H Xia, Z Zhu
Remote Sensing 7 (4), 4318-4342, 2015
Optimization of causative factors for landslide susceptibility evaluation using remote sensing and GIS data in parts of Niigata, Japan
J Dou, DT Bui, AP Yunus, K Jia, X Song, I Revhaug, H Xia, Z Zhu
PloS one 10 (7), e0133262, 2015
GIS-based landslide susceptibility mapping using a certainty factor model and its validation in the Chuetsu Area, Central Japan
J Dou, T Oguchi, YS Hayakawa, S Uchiyama, H Saito, U Paudel
Landslide science for a safer geoenvironment, 419-424, 2014
Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan
J Dou, U Paudel, T Oguchi, S Uchiyama, YS Hayakawa
Terrestrial, Atmospheric and Oceanic Sciences, 2015
Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model
DC Camilo, L Lombardo, PM Mai, J Dou, R Huser
Environmental modelling & software 97, 145-156, 2017
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ...
Science of the Total Environment 662, 332-346, 2019
A Comparative Study of the Binary Logistic Regression (BLR) and Artificial Neural Network (ANN) Models for GIS-Based Spatial Predicting Landslides at a Regional Scale
J Dou, H Yamagishi, Z Zhu, AP Yunus, CW Chen
Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools, 139-151, 2018
Remote sensing of chlorophyll-a as a measure of red tide in Tokyo Bay using hotspot analysis
AP Yunus, J Dou, N Sravanthi
Remote Sensing Applications: Society and Environment 2, 11-25, 2015
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
K Khosravi, H Shahabi, BT Pham, J Adamowski, A Shirzadi, B Pradhan, ...
Journal of Hydrology 573, 311-323, 2019
A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers
BT Pham, I Prakash, J Dou, SK Singh, PT Trinh, HT Tran, TM Le, ...
Geocarto International, 1-25, 2019
Fractal dimension of cohesive sediment flocs at steady state under seven shear flow conditions
Z Zhu, J Yu, H Wang, J Dou, C Wang
Water 7 (8), 4385-4408, 2015
A comparative study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in estimating the heating load of buildings’ energy efficiency for smart city planning
LT Le, H Nguyen, J Dou, J Zhou
Applied Sciences 9 (13), 2630, 2019
Landslides detection: a case study in Conghua city of Pearl River delta
J Dou, J Qian, H Zhang, S Chen, X Zheng, J Zhu, Z Xie, Y Zou
Second International Conference on Earth Observation for Global Changes 7471 …, 2009
Automatic detection of sinkhole collapses at finer resolutions using a multi-component remote sensing approach
J Dou, X Li, AP Yunus, U Paudel, KT Chang, Z Zhu, HR Pourghasemi
Natural Hazards, 2015
On the kaolinite floc size at the steady state of flocculation in a turbulent flow
Z Zhu, H Wang, J Yu, J Dou
PloS one 11 (2), e0148895, 2016
A Potential Global Standard Stratotype‐Section and Point of the Moscovian Stage (Carboniferous)
Acta Geologica Sinica‐English Edition 85 (2), 366-372, 2011
Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM
J Dou, AP Yunus, D Tien Bui, M Sahana, CW Chen, Z Zhu, W Wang, ...
Remote Sensing 11 (6), 638, 2019
Current status of reclaimed water in China: an overview
Z Zhu, J Dou
Journal of Water Reuse and Desalination 8 (3), 293-307, 2018
Estimating the heating load of buildings for smart city planning using a Novel Artificial Intelligence Technique PSO-XGBoost
LT Le, H Nguyen, J Zhou, J Dou, H Moayedi
Applied Sciences 9 (13), 2714, 2019
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