Application of Soft Computing Techniques for Slope Stability Analysis
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40515-024-00446-y.pdf
Reference45 articles.
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2. Ahmad, F., Samui, P., Mishra, S.S.: Machine learning-enhanced Monte Carlo and subset simulations for advanced risk assessment in transportation infrastructure. J. Mt. Sci. 21(2), 690–717 (2024a). https://doi.org/10.1007/s11629-023-8388-8
3. Ahmad, F., Samui, P., Mishra, S.S.: Probabilistic slope stability analysis using subset simulation enhanced by ensemble machine learning techniques Model. Earth Syst. Environ. 10, 2133–2158 (2024b). https://doi.org/10.1007/s40808-023-01882-4
4. Al-karni, A.A., Al-shamrani, M.A.: Study of the effect of soil anisotropy on slope stability using method of slices. Comput. Geotech. 26(2), 83–103 (2021). https://doi.org/10.1016/S0266-352X(99)00046-4
5. Anand, M.A.T., Anandakumar, S., Pare, A., Chandrasekar, V., Venkatachalapathy, N.: Modelling of process parameters to predict the efficiency of shallots stem cutting machine using multiple regression and artificial neural network. Journal of Food Process Engineering 45(6) (2021) https://doi.org/10.1111/jfpe.13944
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