Researchers have learned a lot about how memory works. Their insights form the basis of clever strategies that help us ...

Abstract: In vehicle trajectory prediction, traditional methods like Kalman filtering often rely heavily on user expertise and prior knowledge, while newer deep learning approaches, such as Long Short ...

Short-term memory loss in parents can be unsettling. Most lapses are harmless, but some may need closer attention. For example, losing track of keys can be frustrating, but it usually isn't serious.

Abstract: This letter proposes a bidirectional long short-term memory (BiLSTM) network to predict the excitations of antenna arrays for arbitrary radiation patterns. Compared to artificial neural ...