Zobrazeno 1 - 10
of 4 401
pro vyhledávání: '"Ramesh, K. P."'
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
Autor:
Prameela, Suhas Eswarappa, Walker, Christopher C., DiMarco, Christopher S., Mallick, Debjoy D., Sun, Xingsheng, Hernandez, Stephanie, Sasaki, Taisuke, Wilkerson, Justin W., Ramesh, K. T., Pharr, George M., Weihs, Timothy P.
The response of metals and their microstructures under extreme dynamic conditions can be markedly different from that under quasistatic conditions. Traditionally, high strain rates and shock stresses are measured using cumbersome and expensive method
Externí odkaz:
http://arxiv.org/abs/2309.14296
Recent advances in omnidirectional cameras and AR/VR headsets have spurred the adoption of 360-degree videos that are widely believed to be the future of online video streaming. 360-degree videos allow users to wear a head-mounted display (HMD) and e
Externí odkaz:
http://arxiv.org/abs/2309.04023
Autor:
Baumgarten, Aaron S., Moreno, Justin, Kuwik, Brett, Ghosh, Sohanjit, Hurley, Ryan, Ramesh, K. T.
Granular materials -- aggregates of many discrete, disconnected solid particles -- are ubiquitous in natural and industrial settings. Predictive models for their behavior have wide ranging applications, e.g. in defense, mining, construction, pharmace
Externí odkaz:
http://arxiv.org/abs/2308.16811
Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing
Many organizations, including governments, utilities, and businesses, have set ambitious targets to reduce carbon emissions for their Environmental, Social, and Governance (ESG) goals. To achieve these targets, these organizations increasingly use po
Externí odkaz:
http://arxiv.org/abs/2308.06680