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pro vyhledávání: '"Ghane, Ehsan"'
As a surrogate for computationally intensive meso-scale simulation of woven composites, this article presents Recurrent Neural Network (RNN) models. Leveraging the power of transfer learning, the initialization challenges and sparse data issues inher
Externí odkaz:
http://arxiv.org/abs/2311.13434
Recurrent neural networks and transfer learning for predicting elasto-plasticity in woven composites
Publikováno v:
In European Journal of Mechanics / A Solids September-October 2024 107
Publikováno v:
In Agricultural Water Management 1 November 2023 289
Autor:
Dialameh, Babak, Ghane, Ehsan
Publikováno v:
In Journal of Great Lakes Research August 2023 49(4):778-789
Autor:
Ghane, Ehsan
Denitrification beds are being promoted to reduce nitrate concentrations in agricultural drainage water to alleviate the adverse environmental effects associated with nitrate pollution in surface water. Knowledge of the water flow regime (i.e., Darcy
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1406114668
Autor:
Ghane, Ehsan, Askar, Manal H.
Publikováno v:
In Agricultural Water Management 1 December 2021 258
Publikováno v:
In Journal of Hydrology July 2019 574:129-137
Akademický článek
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Autor:
Esmaeili, Adel1 (AUTHOR), Ghane, Ehsan2 (AUTHOR), Mohammadi, Bijan2 (AUTHOR) bijan_mohammadi@iust.ac.ir
Publikováno v:
International Journal of Fracture. Apr2022, Vol. 234 Issue 1/2, p195-212. 18p.