Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Abstract: The deployment of Photovoltaic (PV) systems benefits any energy system, provided that the corresponding uncertainties are mitigated by means of forecasting techniques. While nowcasting is ...
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