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Multi-Objective Optimization Approach Using Deep Reinforcement Learning for Energy Efficiency in Heterogeneous Computing System
The growing demand for optimal and low-power energy consumption paradigms for Internet of Things (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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