Latency Reduction in mmWave VLSI Circuits through Gravitational Learning-Reference-Cited by-同舟云学术

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Latency Reduction in mmWave VLSI Circuits through Gravitational Learning

Published:2023-11-23 Issue: Volume:25 Page:1197-1202
ISSN:
Container-title:2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT)
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Author:

Shanthi K.G.¹,Kavitha M.S.²,Rajeswari P.³,N Jayanthi.⁴,Kumar Sunil⁵,Lalitha S D⁶

Affiliation:

1. R.M.K College of Engineering and Technology,Department of Electronics and Communication Engineering,Chennai

2. R.M.K. Engineering College,Department of Electronics and Communication Engineering,Chennai

3. R.M.D Engineering College,Department of CSE,Chennai

4. Vels Institute of Science, Technology and Advanced Studies (VISTAS),School of Management Studies,Pallavaram, Chennai,Tamil Nadu,India

5. SGT University,Faculty of Commerce and Management,Gurugrm,Haryana,India

6. R.M.K. Engineering College,Department of CSE,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465674/10465681/10466077.pdf?arnumber=10466077

Reference24 articles.

1. Beam Learning in MmWave/THz-band Drone Networks Under In-Flight Mobility Uncertainties

2. Decentralized Model Dissemination Empowered Federated Learning in mmWave Aerial-Terrestrial Integrated Networks;Al-Abiad,2023

3. Beam‐steering of millimeter wave antenna using linear phase gradient metalens for 5G applications

4. Manifold optimization with MMSE hybrid precoder for Mm-Wave massive MIMO communication;Singh;Sci. Technol,2022

5. Diabetic Retinopathy Feature Extraction and Classification using Adaptive Super Pixel Algorithm

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