Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Noorizadegan, A."'
Background: Deep learning techniques, particularly neural networks, have revolutionized computational physics, offering powerful tools for solving complex partial differential equations (PDEs). However, ensuring stability and efficiency remains a cha
Externí odkaz:
http://arxiv.org/abs/2407.07375
Surface reconstruction from point clouds is a fundamental challenge in computer graphics and medical imaging. In this paper, we explore the application of advanced neural network architectures for the accurate and efficient reconstruction of surfaces
Externí odkaz:
http://arxiv.org/abs/2407.08134
Publikováno v:
Applied Mathematics and Computation, Volume 480, 2024, 128910, (https://www.sciencedirect.com/science/article/pii/S0096300324003710)
In this study, we investigate how the updating of weights during forward operation and the computation of gradients during backpropagation impact the optimization process, training procedure, and overall performance of the neural network, particularl
Externí odkaz:
http://arxiv.org/abs/2310.15690
Publikováno v:
In Applied Mathematics and Computation 1 November 2024 480
Publikováno v:
In Journal of Computational and Applied Mathematics November 2024 450
Autor:
Noorizadegan, Amir, Schaback, Robert
Publikováno v:
In Engineering Analysis with Boundary Elements September 2024 166
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1721 (2024)
The global pursuit of renewable energy has significantly accelerated offshore wind energy development. Floating offshore wind turbines (FOWTs) are increasingly in the spotlight as they offer superior capabilities for harnessing abundant wind resource
Externí odkaz:
https://doaj.org/article/b017cd5cc9c7498696e3ead8b1493df1
Publikováno v:
In Computers and Mathematics with Applications 15 June 2024 164:12-20
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Publikováno v:
In Journal of Computational and Applied Mathematics 15 May 2023 423