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pro vyhledávání: '"Nazem, Majidreza"'
Machine Learning (ML) algorithms are increasingly used as surrogate models to increase the efficiency of stochastic reliability analyses in geotechnical engineering. This paper presents a highly efficient ML aided reliability technique that is able t
Externí odkaz:
http://arxiv.org/abs/2204.06098
Random field Monte Carlo (MC) reliability analysis is a robust stochastic method to determine the probability of failure. This method, however, requires a large number of numerical simulations demanding high computational costs. This paper explores t
Externí odkaz:
http://arxiv.org/abs/2204.06097
Publikováno v:
In Computers and Geotechnics October 2024 174
Publikováno v:
In Ocean Engineering 1 February 2024 293
Autor:
Nofalah, Mohammad-Hossein, Ghadir, Pooria, Hasanzadehshooiili, Hadi, Aminpour, Mohammad, Javadi, Akbar A., Nazem, Majidreza
Publikováno v:
In Construction and Building Materials 1 September 2023 395
Autor:
Aminpour, Mohammad, Alaie, Reza, Khosravi, Sajjad, Kardani, Navid, Moridpour, Sara, Nazem, Majidreza
Publikováno v:
In Computers and Geotechnics January 2023 153
Akademický článek
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Autor:
Kardani, Navid, Aminpour, Mohammad, Nouman Amjad Raja, Muhammad, Kumar, Gaurav, Bardhan, Abidhan, Nazem, Majidreza
Publikováno v:
In Transportation Geotechnics September 2022 36
Autor:
Kardani, Navid, Bardhan, Abidhan, Samui, Pijush, Nazem, Majidreza, Asteris, Panagiotis G., Zhou, Annan
Publikováno v:
In International Journal of Thermal Sciences March 2022 173
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 October 2021 384