Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Vinita Vasudevan"'
Publikováno v:
IET Computers & Digital Techniques, Vol 15, Iss 2, Pp 97-111 (2021)
Abstract In recent years, approximate circuit design targeting the error‐tolerant applications has gained significance. In this study, the authors propose a metric that ranks a stand‐alone approximate adder in terms of power savings obtained for
Externí odkaz:
https://doaj.org/article/73362961c7b941c7ab5b0c375874567c
Autor:
Shivani Bathla, Vinita Vasudevan
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31:543-554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1439b7fe130a738d986586eac8808d6
https://doi.org/10.1109/tvlsi.2023.3237885
https://doi.org/10.1109/tvlsi.2023.3237885
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 68:4287-4298
Deep Neural Networks (DNNs) are increasingly being used in a variety of applications. However, DNNs have huge computational and memory requirements. One way to reduce these requirements is to sparsify DNNs by using smoothed LASSO (Least Absolute Shri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f94526d41c380edb512abe66c1ad001e
https://doi.org/10.1109/tcsi.2021.3097765
https://doi.org/10.1109/tcsi.2021.3097765
Publikováno v:
ACM Transactions on Embedded Computing Systems. 20:1-25
Approximate circuit design has gained significance in recent years targeting error-tolerant applications. In the literature, there have been several attempts at optimizing the number of approximate bits of each approximate adder in a system for a giv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58986312cde72bd90401b448f14172e6
https://doi.org/10.1145/3430509
https://doi.org/10.1145/3430509
Publikováno v:
IET Computers & Digital Techniques. 15:97-111
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3303d42cd1002414a63095eaf6d7ea8d
https://doi.org/10.1049/cdt2.12006
https://doi.org/10.1049/cdt2.12006
Publikováno v:
Materials Today: Proceedings. 37:3442-3445
With the confirmation of dispersed figuring, cell phones can spare/show signs of improvement singular actualities from everywhere at something component. Figure content material cloth fabric technique first-rate based encryption (CP-ABE) is probably
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb99df62f5ebb7b920f46b3f8ead394
https://doi.org/10.1016/j.matpr.2020.09.288
https://doi.org/10.1016/j.matpr.2020.09.288
Publikováno v:
Materials Today: Proceedings. 37:2653-2659
Blockchain is one of the fast growing technologies that has significant role in the area of criminal investigation. The security is becoming a great threat to all the industries, Electronic Health Record (EHR), Banking, Smart Applications (SA), Suppl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a930faff1e2544c511fe5ab90397de4
https://doi.org/10.1016/j.matpr.2020.08.519
https://doi.org/10.1016/j.matpr.2020.08.519
Publikováno v:
2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA).
Cyber-Physical Systems (CPS) usually include a mix of movable things, embedded computers, and systems to keep track as well as actuate together with the encompassing real life. These computing components are generally wireless, interconnected to talk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83003a2f0cf1e52f61bbfd9ecedc186b
https://doi.org/10.1109/icirca51532.2021.9545008
https://doi.org/10.1109/icirca51532.2021.9545008
Autor:
Vinita Vasudevan, Shivani Bathla
The complexity of inference using the belief propagation algorithms increases exponentially with the maximum clique size. We describe an approximate inference approach when there are clique size limitations due to memory constraints using incremental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48b0e2cc7d4c091a7e1fbfe7c706228f
https://doi.org/10.36227/techrxiv.14938275
https://doi.org/10.36227/techrxiv.14938275
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 66:848-852
Artificial neural networks (ANNs) are increasingly being used for a variety of machine learning problems. However, increased density of interconnections in ANNs leads to high computational and power requirements. One way to reduce the power is to red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b0e0684af0996a16f11f60ad77ffe74
https://doi.org/10.1109/tcsii.2019.2908729
https://doi.org/10.1109/tcsii.2019.2908729