The accuracy and explainability of data-driven nowcasting models are of ...
Designing early warning systems for harsh weather and its effects, such ...
Deep learning (DL) applied to breast tissue segmentation in magnetic
res...
Accurate sound localization in a reverberation environment is essential ...
This paper introduces a novel two-stream deep model based on graph
convo...
Data driven modeling based approaches have recently gained a lot of atte...
Reliable and accurate wind speed prediction has significant impact in ma...
Reliable weather forecasting is of great importance in science, business...
Symbolic regression corresponds to an ensemble of techniques that allow ...
Weather nowcasting consists of predicting meteorological components in t...
Wind speed prediction and forecasting is important for various business ...
Due to the development of deep learning techniques applied to satellite
...
Deep learning applied to weather forecasting has started gaining popular...
In this chapter we review the main literature related to the recent
adva...
Weather forecasting is dominated by numerical weather prediction that tr...
Neuroimaging techniques have shown to be useful when studying the brain'...
Low rank tensor learning, such as tensor completion and multilinear mult...