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Non-contact Lung Disease Classification via OFDM-based Passive 6G ISAC Sensing
This points to the feasibility of 6G integrated sensing and communication (ISAC) systems of future where 89. 07% of bandwidth still remains available for information exchange amidst on-demand health sensing.
Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture
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.
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare
The dataset was used to create a machine learning model, which was used in a developed application to provide a quasi-real-time classification of standing or sitting state.
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