Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous …

J Dou, AP Yunus, DT Bui, A Merghadi, M Sahana… - Landslides, 2020 - Springer
Heavy rainfall in mountainous terrain can trigger numerous landslides in hill slopes. These
landslides can be deadly to the community living downslope with their fast pace, turning …

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… - Science of the total …, 2019 - Elsevier
Landslides represent a part of the cascade of geological hazards in a wide range of geo-
environments. In this study, we aim to investigate and compare the performance of two state …

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

J Dou, H Yamagishi, HR Pourghasemi, AP Yunus… - Natural Hazards, 2015 - Springer
The objective of this study was to select the maximum number of correlated factors with
landslide occurrence for slope-instability mapping and assess landslide susceptibility on …

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… - Remote Sensing, 2019 - mdpi.com
Landslides are typically triggered by earthquakes or rainfall occasionally a rainfall event
followed by an earthquake or vice versa. Yet, most of the works presented in the past …

Optimization of causative factors for landslide susceptibility evaluation using remote sensing and GIS data in parts of Niigata, Japan

J Dou, D Tien Bui, A P. Yunus, K Jia, X Song… - PloS one, 2015 - journals.plos.org
This paper assesses the potentiality of certainty factor models (CF) for the best suitable
causative factors extraction for landslide susceptibility mapping in the Sado Island, Niigata …

Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution …

D Tien Bui, BT Pham, QP Nguyen… - International Journal of …, 2016 - Taylor & Francis
This study represents a hybrid intelligence approach based on the differential evolution
optimization and Least-Squares Support Vector Machines for shallow landslide prediction …

The role of earth observation, with a focus on SAR Interferometry, for sinkhole hazard assessment

A Theron, J Engelbrecht - Remote Sensing, 2018 - mdpi.com
Sinkholes are global phenomena with significant consequences on the natural-and built
environment. Significant efforts have been devoted to the assessment of sinkhole hazards to …

Sinkhole hazards

F Gutiérrez - Oxford research encyclopedia of natural hazard …, 2016 - oxfordre.com
Sinkholes or dolines are closed depressions characteristic of terrains underlain by soluble
rocks (carbonates and/or evaporites). They may be related to the differential dissolutional …

Detection and automatic identification of loess sinkholes from the perspective of LiDAR point clouds and deep learning algorithm

Z Jiang, S Hu, H Deng, N Wang, F Zhang, L Wang… - Geomorphology, 2024 - Elsevier
Nowadays, the detection and automatic identification of the three-dimensional structure of
sinkholes is extremely lacking, which has resulted in significant gaps in sinkholes mapping …

Performance evaluation of distributed strain sensing nerves for monitoring ground collapse: A laboratory study

YX Gao, HH Zhu, C Wei, J Wang, W Zhang - Measurement, 2023 - Elsevier
Ground collapse events frequently lead to significant economic losses, catastrophic injuries
and fatalities. There is a growing need for sensitive monitoring technologies to locate and …