National Kaohsiung University of Applied Sciences

The dual mediation of flow experience and learning effectiveness: unraveling the formation mechanism of continuous intention to use online learning platforms

The swift progress and broad application of information and communication technologies (ICTs) have significantly advanced their integration into the educational sector. This research aims to address the impacts of flow antecedents, including online learning self-efficacy and intr...

FedPerKD privacy aware personalized federated learning with knowledge distillation for edge oriented tomato leaf disease detection

Abstract Tomato leaf diseases threaten global food security by reducing crop yield and quality. Centralized deep-learning detectors require farms to share raw images, which raises privacy, bandwidth, and data-sovereignty concerns. We present FedPer-KD, a privacy-aware federated f...

Enhancing Protection Coordination Robustness in DER-Rich Grids Through Deep Learning-Based Preventive Relay Setting Calibration

The increasing penetration of distributed energy resources (DERs) introduces significant operational uncertainties, challenging the reliability and robustness of conventional protection coordination in distribution networks. Traditional optimization methods can obtain high-qualit...