Jie Dou
Jie Dou
Public Works Research Institute (PWRI), Japan
Verified email at pwri.go.jp
Cited by
Cited by
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
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
Automatic case-based reasoning approach for landslide detection: integration of object-oriented image analysis and a genetic algorithm
J Dou, KT Chang, S Chen, AP Yunus, JK Liu, H Xia, Z Zhu
Remote Sensing 7 (4), 4318-4342, 2015
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
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
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
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
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
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
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
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
Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana, Z Zhu, CW Chen, ...
Landslides, 1-18, 2019
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
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
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques
KT Chang, A Merghadi, AP Yunus, BT Pham, J Dou
Scientific reports 9 (1), 1-21, 2019
Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high …
M Shariati, MS Mafipour, P Mehrabi, A Bahadori, Y Zandi, MNA Salih, ...
Applied Sciences 9 (24), 5534, 2019
New ensemble models for shallow landslide susceptibility modeling in a semi-arid watershed
D Tien Bui, A Shirzadi, H Shahabi, M Geertsema, E Omidvar, JJ Clague, ...
Forests 10 (9), 743, 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
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
Development of an artificial intelligence approach for prediction of consolidation coefficient of soft soil: A sensitivity analysis
MD Nguyen, BT Pham, TT Tuyen, HP Hai Yen, I Prakash, TT Vu, K Chapi, ...
The Open Construction and Building Technology Journal 13 (1), 2019
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