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Energy-Efficient IoT via Machine Learning by Trương Đỗ Anh Kha is a document available to read on EtoBox.
This paper presents a novel machine learning framework aimed at optimizing energy consumption in Internet of Things (IoT) systems. By employing deep learning techniques, specifically recurrent neural networks and self-attention mechanisms, the framework enhances predictive modeling of energy usage, which is crucial for sustainability and cost reduction. The study demonstrates the effectiveness of the proposed model through simulation experiments, highlighting its potential to improve energy efficiency in va
- Author
- Trương Đỗ Anh Kha
- Language
- EN