A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping
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- Binh Thai Pham & Dieu Tien Bui & Indra Prakash & M. B. Dholakia, 2016. "Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 97-127, August.
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- Huadan Fan & Yuefeng Lu & Yulong Hu & Jun Fang & Chengzhe Lv & Changqing Xu & Xinyi Feng & Yanru Liu, 2022. "A Landslide Susceptibility Evaluation of Highway Disasters Based on the Frequency Ratio Coupling Model," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
- Hyung-Sup Jung & Saro Lee & Biswajeet Pradhan, 2020. "Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations," Sustainability, MDPI, vol. 12(6), pages 1-6, March.
- Hui Shang & Sihang Liu & Jiaxin Zhong & Paraskevas Tsangaratos & Ioanna Ilia & Wei Chen & Yunzhi Chen & Yang Liu, 2024. "Application of Naive Bayes, kernel logistic regression and alternation decision tree for landslide susceptibility mapping in Pengyang County, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 12043-12079, October.
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Keywords
landslides; GIS; sequential minimal optimization; support vector machines; Viet Nam;All these keywords.
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