|
|
|
|
|
Florimond De Smedt, Prabin Kayastha and Megh Raj Dhital
Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased, re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amit Kumar Batar and Teiji Watanabe
The Himalayan region and hilly areas face severe challenges due to landslide occurrences during the rainy seasons in India, and the study area, i.e., the Rudraprayag district, is no exception. However, the landslide related database and research are stil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hilal Ahmad, Chen Ningsheng, Mahfuzur Rahman, Md Monirul Islam, Hamid Reza Pourghasemi, Syed Fahad Hussain, Jules Maurice Habumugisha, Enlong Liu, Han Zheng, Huayong Ni and Ashraf Dewan
The China?Pakistan Economic Corridor (CPEC) project passes through the Karakoram Highway in northern Pakistan, which is one of the most hazardous regions of the world. The most common hazards in this region are landslides and debris flows, which result i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Miroslaw Kaminski
The paper discusses the impact that the quality of the digital elevation model (DEM) has on the final result of landslide susceptibility modeling (LSM). The landslide map was developed on the basis of the analysis of archival geological maps and the Ligh...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinxiang Lei, Wei Chen and Binh Thai Pham
The main purpose of this study was to apply the novel bivariate weights-of-evidence-based SysFor (SF) for landslide susceptibility mapping, and two machine learning techniques, namely the naïve Bayes (NB) and Radial basis function networks (RBFNetwork), ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Chen, Zenghui Sun, Xia Zhao, Xinxiang Lei, Ataollah Shirzadi and Himan Shahabi
The purpose of this study is to compare nine models, composed of certainty factors (CFs), weights of evidence (WoE), evidential belief function (EBF) and two machine learning models, namely random forest (RF) and support vector machine (SVM). In the firs...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seyed Amir Naghibi, Mehdi Vafakhah, Hossein Hashemi, Biswajeet Pradhan and Seyed Jalil Alavi
It is a well-known fact that sustainable development goals are difficult to achieve without a proper water resources management strategy. This study tries to implement some state-of-the-art statistical and data mining models i.e., weights-of-evidence (Wo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuejia Sang, Linfu Xue, Jiwen Liu and Liang Zhan
Geological faults are highly developed in the eastern Liaoning Province in China, where Mesozoic granitic intrusions and Archean and Paleoproterozoic metamorphic rocks are widely distributed. Although the heat flow value in eastern Liaoning Province is g...
ver más
|
|
|
|
|
|