Zobrazeno 1 - 10
of 15 598
pro vyhledávání: '"Ramesh, K"'
The rapid adoption of machine learning (ML) has underscored the importance of serving ML models with high throughput and resource efficiency. Traditional approaches to managing increasing query demands have predominantly focused on hardware scaling,
Externí odkaz:
http://arxiv.org/abs/2407.03583
In recent years, there has been an increased emphasis on reducing the carbon emissions from electricity consumption. Many organizations have set ambitious targets to reduce the carbon footprint of their operations as a part of their sustainability go
Externí odkaz:
http://arxiv.org/abs/2402.03550
Autor:
Chakraborty, M., Ahmad, S., Chandra, A., Dugad, S. R., Goswami, U. D., Gupta, S. K., Hariharan, B., Hayashi, Y., Jagadeesan, P., Jain, A., Jain, P., Kawakami, S., Koi, T., Kojima, H., Mahapatra, S., Mohanty, P. K., Moharana, R., Muraki, Y., Nayak, P. K., Nonaka, T., Nakamura, T., Oshima, A., Pant, B. P., Pattanaik, D., Paul, S., Pradhan, G. S., Rameez, M., Ramesh, K., Saha, S., Sahoo, R., Scaria, R., Shibata, S., Tabata, T., Takamaru, H., Tanaka, K., Varsi, F., Yamazaki, K., Zuberi, M.
GRAPES-3 is a mid-altitude (2200 m) and near equatorial ($11.4^{\circ}$ North) air shower array, overlapping in its field of view for cosmic ray observations with experiments that are located in Northern and Southern hemispheres. We analyze a sample
Externí odkaz:
http://arxiv.org/abs/2310.15489
Autor:
Wang, Lingdong, Singh, Simran, Chakareski, Jacob, Hajiesmaili, Mohammad, Sitaraman, Ramesh K.
Accessing high-quality video content can be challenging due to insufficient and unstable network bandwidth. Recent advances in neural enhancement have shown promising results in improving the quality of degraded videos through deep learning. Neural-E
Externí odkaz:
http://arxiv.org/abs/2310.09920
Autor:
Jain, Toshit, Mushtaq, Faisel, Ramesh, K, Deshmukh, Sandip, Ray, Tathagata, Parimi, Chandu, Tandon, Praveen, Jha, Pramod Kumar
In this work, a highly customizable and scalable vision based system for automation of mechanical assembly lines is described. The proposed system calculates the features that are required to classify and identify the different kinds of bolts that ar
Externí odkaz:
http://arxiv.org/abs/2310.01995
Autor:
Li, Liuchi, Kilic, Velat, Alemohammad, Milad, Ramesh, K. T., Foster, Mark A., Hufnagel, Todd C.
The stress intensity factor is important for understanding crack initiation and propagation. Because it cannot be measured directly, the characterization of the stress intensity factor relies on the measurement of deformation around a crack tip. Such
Externí odkaz:
http://arxiv.org/abs/2310.00862