Spatial prediction of highway slope disasters based on convolution neural networks
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DOI: 10.1007/s11069-022-05325-8
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- Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
- Chao Yin & Haoran Li & Fa Che & Ying Li & Zhinan Hu & Dong Liu, 2020. "Susceptibility mapping and zoning of highway landslide disasters in China," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.
- Chao Yin, 2020. "Hazard assessment and regionalization of highway flood disasters in 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. 100(2), pages 535-550, January.
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- Han Zhang & Chao Yin & Shaoping Wang & Bing Guo, 2023. "Landslide susceptibility mapping based on landslide classification and improved convolutional neural networks," 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. 116(2), pages 1931-1971, March.
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Keywords
Highway slope disaster (HSD); ECG-CNN; Prediction factor; Prediction success rate;All these keywords.
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