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Eda Ustaoglu and Brendan Williams
High-density urban development is promoted by both global and local policies in response to socio-economic and environmental challenges since it increases mobility of different land uses, decreases the need for traveling, encourages the use of more energ...
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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...
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Bohu He, Mingzhou Bai, Binglong Liu, Pengxiang Li, Shumao Qiu, Xin Li and Lusheng Ding
Drifting snow, the flow of dispersed snow particles near ground level under the action of wind, is a major form of snow damage. When drifting snow occurs on railways, highways, and other transportation lines, it seriously affects their operational safety...
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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...
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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...
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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), ...
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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...
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Bo Ai, Decheng Sun, Yanmei Liu, Chengming Li, Fanlin Yang, Yong Yin and Huibo Tian
When it comes to feature retention in multi-scale representations of ocean flow fields, not all data points are equal. Therefore, this paper proposes a method of selecting data points based on their importance. First, an autocorrelation analysis is perfo...
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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...
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Ioannis E. Livieris
During the last few decades, machine learning has constituted a significant tool in extracting useful knowledge from economic data for assisting decision-making. In this work, we evaluate the performance of weight-constrained recurrent neural networks in...
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