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pro vyhledávání: '"Ravi, G. A."'
The application of neural network models to scientific machine learning tasks has proliferated in recent years. In particular, neural network models have proved to be adept at modeling processes with spatial-temporal complexity. Nevertheless, these h
Externí odkaz:
http://arxiv.org/abs/2402.11179
Deep operator learning has emerged as a promising tool for reduced-order modelling and PDE model discovery. Leveraging the expressive power of deep neural networks, especially in high dimensions, such methods learn the mapping between functional stat
Externí odkaz:
http://arxiv.org/abs/2204.10909
Publikováno v:
In Ceramics International 1 November 2024 50(21) Part A:40932-40942
Publikováno v:
In Carbon October 2024 229
Publikováno v:
In Electrochimica Acta 10 September 2024 498
Autor:
Siddik, A. Abubakkar, Nithya, R., Ravi, G., Yuvakkumar, R., Sankar, V. Ravi, Arun, A., Velauthapillai, Dhayalan
Publikováno v:
In Bioresource Technology Reports September 2024 27
Autor:
Chandra, Pratibha1, Ravi, G. S.2, Pasha, S. A. Rahil3 dr.rahilpasha@gmail.com, Kumar, Rakesh1
Publikováno v:
Journal of Pure & Applied Microbiology. 2024, Vol. 18 Issue 2, p980-986. 7p.
Autor:
Jeya, P., Kungumadevi, L., Yuvakkumar, R., Ravi, G., Asokan, Kandasami, Senthil, T.S., Subin, Saju, Suresh, Sagadevan
Publikováno v:
In Ceramics International 1 July 2024 50(13) Part A:23196-23207
Publikováno v:
In Ceramics International 1 June 2024 50(11) Part A:18284-18293
Autor:
Swathi, S., Yuvakkumar, R., Ravi, G., Thambidurai, M., Arunmetha, S., Velauthapillai, Dhayalan
Publikováno v:
In International Journal of Hydrogen Energy 2 May 2024 65:704-716