Comparative Study on the Machine Learning and Regression-Based Approaches to Predict the Hydraulic Jump Sequent Depth Ratio
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40996-020-00526-2.pdf
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4. Ahmadi M, Hatami M, Rahgozar P, Shirkhanloo S, Abed S, Kamalzadeh H, Flood I (2020) Development of an esco risk assessment model as a decision-making tool for the energy savings certificates market regulator: A case study. Appl Sci (Switz) 10(7):2552
5. Ahmed HMA, El Gendy M, Mirdan AMH, Ali AAM, Haleem FSFA (2014) Effect of corrugated beds on characteristics of submerged hydraulic jump. Ain Shams Eng J Fac Eng Ain Shams Univ 5(4):1033–1042
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