2 papers
eess.SP2024
Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture
Zheqi Yu, Chao Zhang, Pedro Machado +4
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 intell…
eess.SP2024
Non-contact Lung Disease Classification via OFDM-based Passive 6G ISAC Sensing
Hasan Mujtaba Buttar, Muhammad Mahboob Ur Rahman, Muhammad Wasim Nawaz +3
This paper is the first to present a novel, non-contact method that utilizes orthogonal frequency division multiplexing (OFDM) signals (of frequency 5.23 GHz, emitted by a software…