Zobrazeno 1 - 10
of 925
pro vyhledávání: '"Saikumar, P"'
Autor:
Saikumar, Dhananjay, Varghese, Blesson
Modern deep neural networks (DNNs) consist of millions of parameters, necessitating high-performance computing during training and inference. Pruning is one solution that significantly reduces the space and time complexities of DNNs. Traditional prun
Externí odkaz:
http://arxiv.org/abs/2404.03687
Autor:
Saikumar, Dhananjay, Varghese, Blesson
Efficient on-device Convolutional Neural Network (CNN) training in resource-constrained mobile and edge environments is an open challenge. Backpropagation is the standard approach adopted, but it is GPU memory intensive due to its strong inter-layer
Externí odkaz:
http://arxiv.org/abs/2402.14139
Autor:
Saikumar, Dhananjay
Quantum Field Theory (QFT) forms the bedrock of the Standard Model (SM) of particle physics, a powerful framework that delineates the fundamental constituents and interactions of the universe. However, the SM's narrative is incomplete, as it conspicu
Externí odkaz:
http://arxiv.org/abs/2404.03666
Autor:
Saikumar, Dhananjay
Scanning Tunneling Microscopy (STM) is a powerful technique that utilizes quantum tunneling to visualize atomic surfaces with high precision. This study presents detailed topographic maps and evaluates the local density of states (LDOS) for three dis
Externí odkaz:
http://arxiv.org/abs/2402.10241
Although coherent manipulation of electronic states can be achieved in quantum dot (QD) devices by harnessing nanofabrication tools, it is often hard to fathom the extent to which these nanoelectronic devices can behave quantum mechanically. Witnessi
Externí odkaz:
http://arxiv.org/abs/2401.12502
Autor:
Saikumar Dussa, Sameehan S. Joshi, Shashank Sharma, Karri Venkata Mani Krishna, Madhavan Radhakrishnan, Narendra B. Dahotre
Publikováno v:
Magnetism, Vol 4, Iss 2, Pp 125-156 (2024)
Additive manufacturing offers manufacturing flexibility for intricate components and also allows for precise control over the microstructure. This review paper explores the current state of the art in additive manufacturing techniques for Alnico perm
Externí odkaz:
https://doaj.org/article/87004c7814c747d2a7e34553a8cd359a
Autor:
Sanga Mitra, Kailash BP, Srivatsan C R, Naga Venkata Saikumar, Philge Philip, Manikandan Narayanan
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-16 (2024)
Abstract Connectome studies have shown how Alzheimer’s disease (AD) disrupts functional and structural connectivity among brain regions. But the molecular basis of such disruptions is less studied, with most genomic/transcriptomic studies performin
Externí odkaz:
https://doaj.org/article/f6bc1e0a67f24b4385796f12b4b931ad
Autor:
P John Solomon, VS Kalaiselvi, A Priya Margaret, Juwain Shehzad Nehil, WMS Johnson, Chitralekha Saikumar
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 04, Pp 14-19 (2024)
Introduction: The outbreak of Coronavirus Disease 2019 (COVID-19) affected a large number of people worldwide within a short period of time. The mortality rate was high, and there was no specific medicine available to cure it. Therefore, the situatio
Externí odkaz:
https://doaj.org/article/9750b904df714be099a2b4518e754c13
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 03, Pp 05-10 (2024)
Introduction: Three years into the Coronavirus Disease-2019 (COVID-19) pandemic, questions linger regarding long-term vaccine efficacy, potential side effects, and the risk of future viral waves. Despite vaccinations, no existing vaccine offers compl
Externí odkaz:
https://doaj.org/article/0b16ff0d31e7405f8c6ee9ace4a94997
Autor:
Saikumar, Dhananjay
High energy physics (HEP) experiments at the LHC generate data at a rate of $\mathcal{O}(10)$ Terabits per second. This data rate is expected to exponentially increase as experiments will be upgraded in the future to achieve higher collision energies
Externí odkaz:
http://arxiv.org/abs/2210.13213