R
Renwei Li
Researcher at Xi'an University of Science and Technology
Publications - 7
Citations - 594
Renwei Li is an academic researcher from Xi'an University of Science and Technology. The author has contributed to research in topics: Landslide & Adsorption. The author has an hindex of 4, co-authored 4 publications receiving 357 citations. Previous affiliations of Renwei Li include Universiti Teknologi Malaysia.
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Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
TL;DR: The main aim of the present study is to explore and compare three state-of-the art data mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide susceptibility assessment in the Longhai area of China.
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Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
Wei Chen,Himan Shahabi,Shuai Zhang,Khabat Khosravi,Ataollah Shirzadi,Kamran Chapi,Binh Thai Pham,Tingyu Zhang,Lingyu Zhang,Huichan Chai,Jianquan Ma,Yingtao Chen,Xiaojing Wang,Renwei Li,Baharin Bin Ahmad +14 more
TL;DR: The findings overall confirmed that a combination of the meta model with a decision tree classifier based on a functional algorithm can decrease the over-fitting and variance problems of data, which could enhance the prediction power of the landslide model.
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Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
Wei Chen,Xia Zhao,Himan Shahabi,Ataollah Shirzadi,Khabat Khosravi,Huichan Chai,Shuai Zhang,Lingyu Zhang,Jianquan Ma,Yingtao Chen,Xiaojing Wang,Baharin Bin Ahmad,Renwei Li +12 more
TL;DR: In this article, a hybrid of evidence belief function (EBF) with logistic regression and logistic model tree was used for landslide susceptibility modeling. And the performance of three models was evaluated using the area under the curve (AUC).
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Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling.
TL;DR: The findings in the present study overall confirm that a combination of the meta model with a decision tree classifier could enhance the prediction power of the single landslide model.
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Permafrost degradation induced thaw settlement susceptibility research and potential risk analysis in the Qinghai-Tibet Plateau
TL;DR: Wang et al. as mentioned in this paper developed a hazard data-driven thaw settlement susceptibility map for the Qinghai-Tibet Plateau, and identified hazard-prone regions for settlement population, main infrastructures, and soil organic carbon (SOC).