Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Garg Shailesh"'
Publikováno v:
E3S Web of Conferences, Vol 569, p 03002 (2024)
Riverine floods and coastal erosion are some of the most frequent natural calamities in India that affect millions of people, cause loss of lives, and damage infrastructure and agriculture. Application of geosynthetic products provides a sustainable,
Externí odkaz:
https://doaj.org/article/1491006a2ad04fe687f9fd9731e34057
Autor:
Garg, Shailesh, Chakraborty, Souvik
Redundant information transfer in a neural network can increase the complexity of the deep learning model, thus increasing its power consumption. We introduce in this paper a novel spiking neuron, termed Variable Spiking Neuron (VSN), which can reduc
Externí odkaz:
http://arxiv.org/abs/2311.09267
Autor:
Garg, Shailesh, Chakraborty, Souvik
In this paper, we propose a novel data-driven operator learning framework referred to as the \textit{Randomized Prior Wavelet Neural Operator} (RP-WNO). The proposed RP-WNO is an extension of the recently proposed wavelet neural operator, which boast
Externí odkaz:
http://arxiv.org/abs/2302.01051
Autor:
Garg, Shailesh, Chakraborty, Souvik
Neural network based data-driven operator learning schemes have shown tremendous potential in computational mechanics. DeepONet is one such neural network architecture which has gained widespread appreciation owing to its excellent prediction capabil
Externí odkaz:
http://arxiv.org/abs/2206.05655
Autor:
Garg, Shailesh, Chakraborty, Souvik
Publikováno v:
In Journal of Computational Physics 15 October 2024 515
Time dependent reliability analysis and uncertainty quantification of structural system subjected to stochastic forcing function is a challenging endeavour as it necessitates considerable computational time. We investigate the efficacy of recently pr
Externí odkaz:
http://arxiv.org/abs/2201.13145
For real-life nonlinear systems, the exact form of nonlinearity is often not known and the known governing equations are often based on certain assumptions and approximations. Such representation introduced model-form error into the system. In this p
Externí odkaz:
http://arxiv.org/abs/2109.00538
The potential of digital twin technology is immense, specifically in the infrastructure, aerospace, and automotive sector. However, practical implementation of this technology is not at an expected speed, specifically because of lack of application-s
Externí odkaz:
http://arxiv.org/abs/2103.15636
Publikováno v:
In Probabilistic Engineering Mechanics April 2023 72
Autor:
Garg, Shailesh, Chakraborty, Souvik
Publikováno v:
In Engineering Applications of Artificial Intelligence February 2023 118