We must be better prepared next time the big floods come, and it is only a matter of time before they do come again.” ...

Our model uses synthetic maps for training and selects frontiers (points between known and unknown areas). By leveraging a reinforcement learning framework for path planning, the model efficiently ...

Utilizing its robust self-attention mechanism, the transformer model effectively captures and analyzes the spatial-temporal dependencies present in data, thereby improving the accuracy of traffic flow ...

Multi-path direct current spinal stimulation extended survival in the SOD1-G93A model of amyotrophic lateral sclerosis ...