Accurate prediction of the state of charge (SOC) in lithium-ion batteries is critical for unmanned aerial vehicle (UAV) flight safety and energy management. Current deep learning approaches lack ...

Predicting marine animal movements from satellite tracking data remains challenging, limiting conservation and ecosystem management efforts. To address this, we trained the Temporal Fusion Transformer ...

With fusion of data from different sources, the focus is on two types of differences: the sensor bias between coarse and fine spatial resolution images, and the temporal differences between coarse ...