Zobrazeno 1 - 10
of 216
pro vyhledávání: '"KRISHNA RAVI"'
Publikováno v:
C, Vol 10, Iss 3, p 71 (2024)
The geoenergy industry has challenging demands on cements used as downhole materials. Once placed in the annular space, the cement sheath must be very low permeability and mechanically durable. Its characteristics are strongly influenced by its micro
Externí odkaz:
https://doaj.org/article/b8beac60242c40a683f22adca5fad1b9
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 7 (2022)
Utilizing the expertise and knowledge resources of the diaspora, particularly the scientific diaspora, has been part of the strategies of many countries. In the recent years, realizing the importance of the potential of the diaspora to contribute to
Externí odkaz:
https://doaj.org/article/be08a465ebb44437bc84f9aa78199d2f
Autor:
Venkatesha, Keerthikumara, Srinivas, Mahesh Sankanahalli, Swamynayaka, Ananda, Madegowda, Mahendra, Krishna, Ravi Singh, Hegde, Tejaswi Ashok, Sadashiva, Maralinganadoddi P.
Publikováno v:
In Optical Materials November 2024 157 Part 1
Autor:
Krishna, Ravi, Kalaiah, Aravind, Wu, Bichen, Naumov, Maxim, Mudigere, Dheevatsa, Smelyanskiy, Misha, Keutzer, Kurt
Neural architecture search (NAS) methods aim to automatically find the optimal deep neural network (DNN) architecture as measured by a given objective function, typically some combination of task accuracy and inference efficiency. For many areas, suc
Externí odkaz:
http://arxiv.org/abs/2110.14812
Autor:
Zhao, Sicheng, Chen, Xuanbai, Yue, Xiangyu, Lin, Chuang, Xu, Pengfei, Krishna, Ravi, Yang, Jufeng, Ding, Guiguang, Sangiovanni-Vincentelli, Alberto L., Keutzer, Kurt
Thanks to large-scale labeled training data, deep neural networks (DNNs) have obtained remarkable success in many vision and multimedia tasks. However, because of the presence of domain shift, the learned knowledge of the well-trained DNNs cannot be
Externí odkaz:
http://arxiv.org/abs/2011.12470
Autor:
Zhao, Sicheng, Xiao, Yang, Guo, Jiang, Yue, Xiangyu, Yang, Jufeng, Krishna, Ravi, Xu, Pengfei, Keutzer, Kurt
Sentiment analysis of user-generated reviews or comments on products and services in social networks can help enterprises to analyze the feedback from customers and take corresponding actions for improvement. To mitigate large-scale annotations on th
Externí odkaz:
http://arxiv.org/abs/2011.08678
Autor:
Krishna, Suresh, Krishna, Ravi
In today's era of "scale-out", this paper makes the case that a specialized hardware architecture based on "scale-in"--placing as many specialized processors as possible along with their memory systems and interconnect links within one or two boards
Externí odkaz:
http://arxiv.org/abs/2009.05230
Autor:
Zhao, Sicheng, Yue, Xiangyu, Zhang, Shanghang, Li, Bo, Zhao, Han, Wu, Bichen, Krishna, Ravi, Gonzalez, Joseph E., Sangiovanni-Vincentelli, Alberto L., Seshia, Sanjit A., Keutzer, Kurt
Large-scale labeled training datasets have enabled deep neural networks to excel across a wide range of benchmark vision tasks. However, in many applications, it is prohibitively expensive and time-consuming to obtain large quantities of labeled data
Externí odkaz:
http://arxiv.org/abs/2009.00155
Humans read and write hundreds of billions of messages every day. Further, due to the availability of large datasets, large computing systems, and better neural network models, natural language processing (NLP) technology has made significant strides
Externí odkaz:
http://arxiv.org/abs/2006.11316
Autor:
Dubey, Kashyap Kumar1 kashyapdubey@jnu.ac.in, Srinivas, Krishna Ravi2 ravisrinivas@ris.org.in
Publikováno v:
Asian Biotechnology & Development Review. Nov2023, Vol. 25 Issue 3, p1-4. 4p.