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Found 4 papers, 4 papers with code
Symbolic regression for scientific discovery: an application to wind speed forecasting
Symbolic regression corresponds to an ensemble of techniques that allow to uncover an analytical equation from data.
Deep coastal sea elements forecasting using U-Net based models
The supply and demand of energy is influenced by meteorological conditions.
Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks
Deep learning applied to weather forecasting has started gaining popularity because of the progress achieved by data-driven models.
Deep brain state classification of MEG data
The experimental results of cross subject multi-class classification on the studied MEG dataset show that the inclusion of attention improves the generalization of the models across subjects.
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