Zobrazeno 1 - 10
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pro vyhledávání: '"Panat Sreedath"'
In this study, we apply two pillars of Scientific Machine Learning: Neural Ordinary Differential Equations (Neural ODEs) and Universal Differential Equations (UDEs) to the Chandrasekhar White Dwarf Equation (CWDE). The CWDE is fundamental for underst
Externí odkaz:
http://arxiv.org/abs/2410.14998
Carbon emissions are rising at an alarming rate, posing a significant threat to global efforts to mitigate climate change. Electric vehicles have emerged as a promising solution, but their reliance on lithium-ion batteries introduces the critical cha
Externí odkaz:
http://arxiv.org/abs/2410.14347
In climate science, models for global warming and weather prediction face significant challenges due to the limited availability of high-quality data and the difficulty in obtaining it, making data efficiency crucial. In the past few years, Scientifi
Externí odkaz:
http://arxiv.org/abs/2410.06452
Autor:
Dawson, Fiifi, Mosunmola, Zainab, Pocker, Sahil, Dandekar, Raj Abhijit, Dandekar, Rajat, Panat, Sreedath
Although LLMs have been extremely effective in a large number of complex tasks, their understanding and functionality for regional languages and cultures are not well studied. In this paper, we explore the ability of various LLMs to comprehend the cu
Externí odkaz:
http://arxiv.org/abs/2410.01811
Autor:
Joshi, Prathamesh Dinesh, Pocker, Sahil, Dandekar, Raj Abhijit, Dandekar, Rajat, Panat, Sreedath
As LLMs become increasingly proficient at producing human-like responses, there has been a rise of academic and industrial pursuits dedicated to flagging a given piece of text as "human" or "AI". Most of these pursuits involve modern NLP detectors li
Externí odkaz:
http://arxiv.org/abs/2409.04808
Autor:
Panat, Sreedath
Energy sustainability is one of the most important challenges of the present time. In this thesis we investigate some critical sustainability challenges and develop advanced mitigation approaches for various energy systems. In photovoltaic systems, d
Externí odkaz:
https://hdl.handle.net/1721.1/150115
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Publikováno v:
Measurement. 135:537-546
Texturing of surfaces is often done to improve the surface properties. The purpose of this study is to develop a methodology for two dimensional inspection of the quality of textured surfaces automatically using machine vision techniques. The quality
Classification of rice grain varieties arranged in scattered and heap fashion using image processing
Autor:
Verikas, Antanas, Radeva, Petia, Nikolaev, Dmitry P., Zhang, Wei, Zhou, Jianhong, Bhat, Sudhanva, Panat, Sreedath, N, Arunachalam
Publikováno v:
Proceedings of SPIE; March 2017, Vol. 10341 Issue: 1 p1034126-1034126-6