Prediction of tunnel abrasions using Machine Learning: A Case Study of Koshibu Sediment Bypass Tunnel, Japan

Ahmed Emara

[310P01-14-04] Prediction of tunnel abrasions using Machine Learning: A Case Study of Koshibu Sediment Bypass Tunnel, Japan

*Ahmed Emara^1,2, Mohamed Saber¹, Sameh Kantoush¹, Tetsuya Sumi¹, Emad Mabrouk³ (1. Water Resources Research Center, Disaster Prevention Research Institute, Kyoto University (Japan), 2. Faculty of Engineering, Alexandria University (Egypt), 3. College of Engineering and Technology, American University of the Middle East (Kuwait))

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Poster session

[310P01-14-04] Prediction of tunnel abrasions using Machine Learning: A Case Study of Koshibu Sediment Bypass Tunnel, Japan

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