Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture

no code implementations • 1 Feb 2023 • Zheqi Yu, Chao Zhang, Pedro Machado, Adnan Zahid, Tim. Fernandez-Hart, Muhammad A. Imran, Qammer H. Abbasi

The growing demand for optimal and low-power energy consumption paradigms for IOT devices has garnered significant attention due to their cost-effectiveness, simplicity, and intelligibility.

Deep Reinforcement Learning Management

Securing the Insecure: A First-Line-of-Defense for Nanoscale Communication Systems Operating in THz Band

no code implementations • 14 Jul 2020 • Waqas Aman, M. Mahboob Ur Rahman, Hassan T. Abbas, Muhammad Arslan Khalid, Muhammad A. Imran, Akram Alomainy, Qammer H. Abbasi

Nanoscale communication systems operating in Ter-ahertz (THz) band are anticipated to revolutionise the healthcaresystems of the future.