Abstract: Achieving high efficiency in dynamic wireless power transfer (DWPT) systems has always been a critical challenge, particularly in applications such as electric vehicle (EV) charging. This ...
Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
To prepare the data, we offer further instructions in the file data.md, where you can find more information on how we cleaned and converted the data to our formats.
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