Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Adar Kahana"'
Autor:
Youngeun Kim, Adar Kahana, Ruokai Yin, Yuhang Li, Panos Stinis, George Em Karniadakis, Priyadarshini Panda
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Time-To-First-Spike (TTFS) coding in Spiking Neural Networks (SNNs) offers significant advantages in terms of energy efficiency, closely mimicking the behavior of biological neurons. In this work, we delve into the role of skip connections, a widely
Externí odkaz:
https://doaj.org/article/1b9e4781ca65445d9cceb8375bdaf973
Publikováno v:
Journal of Computational Physics. 470:111592
Publikováno v:
Journal of Computational Physics. 460:111161
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Journal of Computational Physics. 442:110493
We investigate a numerical method for approximating the solution of the one dimensional acoustic wave problem, when violating the numerical stability condition. We use deep learning to create an explicit non-linear scheme that remains stable for larg
Publikováno v:
Journal of Computational Physics. 413:109458
We model the inverse physical problem of identifying an underwater obstacle by using the acoustic wave equation. Measurements are collected in a set of sensors placed in the medium. We use this partial information to approximate a segmentation of the
Publikováno v:
Journal of Theoretical and Computational Acoustics. 26:1850016
The convective wave equation deals with wave propagation in a moving media. We focus on the underwater acoustic wave equation where the convective element is the flow of water inside a river, along its length. The main thrust of this paper is the ill