Zobrazeno 1 - 10
of 26 069
pro vyhledávání: '"A. Vinayak"'
Publikováno v:
Âderna Fìzika ta Energetika, Vol 22, Iss 4, Pp 343-347 (2021)
The nuclear radius parameter of carbon, aluminium, iron, copper, and zinc nuclei has been determined by using (n,γ)-reaction. The neutrons from the americium-beryllium source are made to interact with the water moderator to produce the γ-rays of 2.
Externí odkaz:
https://doaj.org/article/1421b1ad7e19436da563d423ac7a3e9f
Autor:
Madavan, Rakesh Raj, Kaimal, Akshat, K V, Badhrinarayanan, Gupta, Vinayak, Choudhary, Rohit, Shanmuganathan, Chandrakala, Mitra, Kaushik
Publikováno v:
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
Lensless imaging offers a significant opportunity to develop ultra-compact cameras by removing the conventional bulky lens system. However, without a focusing element, the sensor's output is no longer a direct image but a complex multiplexed scene re
Externí odkaz:
http://arxiv.org/abs/2411.04810
Locally recoverable codes (LRCs) with locality parameter $r$ can recover any erased code symbol by accessing $r$ other code symbols. This local recovery property is of great interest in large-scale distributed classical data storage systems as it lea
Externí odkaz:
http://arxiv.org/abs/2411.01504
Autor:
Sekhar, Ardhendu, Bhattacharya, Aditya, Goyal, Vinayak, Goel, Vrinda, Bhangale, Aditya, Gupta, Ravi Kant, Sethi, Amit
In this study, we investigate the performance of few-shot classification models across different domains, specifically natural images and histopathological images. We first train several few-shot classification models on natural images and evaluate t
Externí odkaz:
http://arxiv.org/abs/2410.09176
Autor:
Arannil, Vinayak, Narwal, Neha, Bhabesh, Sourav Sanjukta, Thirandas, Sai Nikhil, Wang, Darren Yow-Bang, Horwood, Graham, Chirayath, Alex Anto, Pandeshwar, Gouri
Large Language Models (LLMs) have shown remarkable ability to generalize effectively across numerous industry domains while executing a range of tasks. Many of these competencies are obtained from the data utilized during the pre-training phase of th
Externí odkaz:
http://arxiv.org/abs/2410.00260
Autor:
Pandey, Himanshu, Amod, Akhil, Shivang, Jaggi, Kshitij, Garg, Ruchi, Jain, Abheet, Tantia, Vinayak
Artificial Intelligence (AI) and Large Language Models (LLMs) hold significant promise in revolutionizing healthcare, especially in clinical applications. Simultaneously, Digital Twin technology, which models and simulates complex systems, has gained
Externí odkaz:
http://arxiv.org/abs/2409.17650
Autor:
Guo, Jiaqi, Lopez-Tapia, Santiago, Li, Wing Shun, Wu, Yunnan, Carignano, Marcelo, Backman, Vadim, Dravid, Vinayak P., Katsaggelos, Aggelos K.
Computed tomography is a widely used imaging modality with applications ranging from medical imaging to material analysis. One major challenge arises from the lack of scanning information at certain angles, leading to distorted CT images with artifac
Externí odkaz:
http://arxiv.org/abs/2409.13930
Autor:
Biswas, Soumya, Dabral, Keshav, Majumder, Saptak, Parasuraman, Rajasekar, Dutt, Aditya S., Kamble, Vinayak B.
Among the popular TE materials, selenides and tellurides are the benchmarks of high-efficiency systems. However, for the high-temperature application (>700 K), it is required to rely on the silicides and the oxides due to their exceptional thermal st
Externí odkaz:
http://arxiv.org/abs/2409.09728
"An idea is nothing more nor less than a new combination of old elements" (Young, J.W.). The widespread adoption of Large Language Models (LLMs) and publicly available ChatGPT have marked a significant turning point in the integration of Artificial I
Externí odkaz:
http://arxiv.org/abs/2409.06185
Autor:
Dieny, Bernard, Aggarwal, Sanjeev, Naik, Vinayak Bharat, Couet, Sebastien, Coughlin, Thomas, Fukami, Shunsuke, Garello, Kevin, Guedj, Jack, Incorvia, Jean Anne C., Lebrun, Laurent, Lee, Kyung-Jin, Leonelli, Daniele, Noh, Yonghwan, Salimy, Siamak, Soss, Steven, Thomas, Luc, Wang, Weigang, Worledge, Daniel
This application note discusses the working principle of spin-transfer torque magnetoresistive random access memory (STT-MRAM) and the impact that magnetic fields can have on STT-MRAM operation. Sources of magnetic field and typical magnitudes of mag
Externí odkaz:
http://arxiv.org/abs/2409.05584