To improve the prediction accuracy of electronic current transformer (ECT) errors, this study proposes a hybrid prediction model integrating ICEEMDAN decomposition, variational mode decomposition (VMD
The “noisy labeler problem” in crowdsourced data has attracted great attention in recent years, with important ramifications in citizen science, where non-experts must produce high-quality data. Parti