Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Karthikeyan, Nagarajan"'
Publikováno v:
Cryptography, Vol 7, Iss 2, p 17 (2023)
Spiking neural networks (SNNs) are quickly gaining traction as a viable alternative to deep neural networks (DNNs). Compared to DNNs, SNNs are computationally more powerful and energy efficient. The design metrics (synaptic weights, membrane threshol
Externí odkaz:
https://doaj.org/article/efba0279783f4758a96dd54497d72590
Publikováno v:
Frontiers in Nanotechnology, Vol 4 (2022)
Hardware Trojans in Integrated Circuits (ICs), that are inserted as hostile modifications in the design phase and/or the fabrication phase, are a security threat since the semiconductor manufacturing process is increasingly becoming globalized. These
Externí odkaz:
https://doaj.org/article/76ea1692f62242bb8aa8ac7caabb79e4
Publikováno v:
Frontiers in Nanotechnology, Vol 3 (2022)
Spiking Neural Networks (SNN) are fast emerging as an alternative option to Deep Neural Networks (DNN). They are computationally more powerful and provide higher energy-efficiency than DNNs. While exciting at first glance, SNNs contain security-sensi
Externí odkaz:
https://doaj.org/article/59294635a7ba42048bf85ba3b02083de
Autor:
Ramaraj, Muniappan, Chembath, Jothish, Nithya, Balluru Thammaiahshetty Adishankar, Ganesan, Gnanakumar, Shankari, Balakrishnan Uma, Karthikeyan, Nagarajan
Publikováno v:
International Journal of Reconfigurable & Embedded Systems; Nov2023, Vol. 12 Issue 3, p320-328, 9p
Publikováno v:
2022 International Conference on Computer, Power and Communications (ICCPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abe70da15e365234018bad43e5ecd3fa
https://doi.org/10.1109/iccpc55978.2022.10072043
https://doi.org/10.1109/iccpc55978.2022.10072043
Autor:
Farid Uddin Ahmed, Swaroop Ghosh, Asmit De, Karthikeyan Nagarajan, Masud H. Chowdhury, Mohammad Nasim Imtiaz Khan
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29:1518-1528
Emerging nonvolatile memories (NVMs), such as resistive RAM (RRAM) and spin-transfer-torque RAM (STTRAM), present exciting opportunities for data storage applications and offer improved access speeds, retention times, power consumption, and scalabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429ab554bfe54dee880ba9bd6c6fb6a9
https://doi.org/10.1109/tvlsi.2021.3087734
https://doi.org/10.1109/tvlsi.2021.3087734
Publikováno v:
International Journal of Power Electronics and Drive Systems (IJPEDS). 14:358
It's important to examine and handle the issue of green energy generation in inaccessible locations. Nonrenewable hybrid power has environmental and economic impacts. Reliable electricity and energy efficiency are priorities. Renewable energy that is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a1779a38525769f6cb2123e6ce857a
https://doi.org/10.11591/ijpeds.v14.i1.pp358-368
https://doi.org/10.11591/ijpeds.v14.i1.pp358-368
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab677418f3bb02a91b75e4468e74b6a
https://doi.org/10.1002/cpe.6963
https://doi.org/10.1002/cpe.6963
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28:968-979
Data and information leakage is an important security concern in current systems. Several data leakage prevention (DLP) techniques have been proposed in the literature to prevent external as well as internal data leakage. Most of these solutions try
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eefa77bb0b65712ce87828c1a87674ed
https://doi.org/10.1109/tvlsi.2019.2961358
https://doi.org/10.1109/tvlsi.2019.2961358
Autor:
Zhong Yi, Karthikeyan Nagarajan
Publikováno v:
2021 IEEE International Conference on Autonomous Systems (ICAS).
This study explores the feasibility of autonomous lane changing using a novel approach of multi-agent Deep Q-Network. Most existing algorithms that use Deep Reinforcement Learning adopt a single-agent approach, with the assumption of only ego-agent c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a28c7d287106a011a8a0218e5a27026
https://doi.org/10.1109/icas49788.2021.9551130
https://doi.org/10.1109/icas49788.2021.9551130