A comprehensive survey on artificial intelligence empowered edge computing on consumer electronics

JH Syu, JCW Lin, G Srivastava… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The Internet revolution and Moore's Law drove the rapid expansion of connected consumer
electronics. As massive data is generated by Internet of Things (IoT) devices, edge …

Distributed Learning Mechanisms for Anomaly Detection in Privacy-Aware Energy Grid Management Systems

JH Syu, JCW Lin, G Srivastava - ACM Transactions on Sensor Networks, 2024 - dl.acm.org
Smart grids have become an emerging topic due to net-zero emissions and the rapid
development of artificial intelligence (AI) technology focused on achieving targeted energy …

Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning

JH Syu, JCW Lin, G Srivastava - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Smart grid management is an emerging research topic that recently has adopted artificial
intelligence algorithms to assist in the task. However, as more and more data is used, data …

Machine Learning-Based Calibration Approaches for Single-Beam and Multiple-Beam Distance Sensors

JH Syu, JCW Lin, P Biernacki… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Sensors are the foundation to facilitate smart cities, smart grids, and smart transportation,
and distance sensors are especially important for sensing the environment and gathering …

TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System

JH Syu, R Cupek, CC Chen, JCW Lin - Pacific-Asia Conference on …, 2024 - Springer
In this paper, we propose a Subsidy-Supported Storage (also called TripleS) to assist grid
management. Q-learning algorithms first determine the origin subsidies, and the proposed …