Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Pallab Dasgupta"'
Publikováno v:
IET Smart Grid, Vol 7, Iss 1, Pp 89-100 (2024)
Abstract Hybrid Centralised‐Decentralised Electric Vehicle (EV) coordination policy in the urgent charging scenario is presented. First, a robust and complex optimisation problem considering several key features affecting EV coordination is formula
Externí odkaz:
https://doaj.org/article/39f0106ad85549aa9344622f059cf153
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2018, Iss 2 (2018)
Malicious exploitation of faults for extracting secrets is one of the most practical and potent threats to modern cryptographic primitives. Interestingly, not every possible fault for a cryptosystem is maliciously exploitable, and evaluation of the e
Externí odkaz:
https://doaj.org/article/3351d9733aa9446fb3a1756bee44bc44
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 8:1889-1899
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 28:1-32
With increasing design complexity, the portability of tests across different designs and platforms becomes a key criterion for accelerating verification closure. The Portable Test and Stimulus Standard (PSS) is an emerging industry standard prepared
Autor:
Sayandeep Sanyal, Pallab Dasgupta, Aritra Hazra, Sourav Das, Scott Morrison, Sudhakar Surendran, Lakshmanan Balasubramanian
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:5695-5708
Publikováno v:
IEEE Transactions on Network and Service Management. 19:5034-5043
Autor:
Sudipa Mandal, Pallab Dasgupta
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:2362-2371
Publikováno v:
Journal of Cryptology. 36
Publikováno v:
2023 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems (VLSID).
Publikováno v:
Pattern Recognition Letters. 152:143-149
Human vision is able to compensate imperfections in sensory inputs from the real world by reasoning based on prior knowledge about the world. Deep learning has had a significant impact on computer vision due to its inherent ability in handling imprec