An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Abstract: Fault diagnosis holds significant practical importance for high performance and reliable control of induction motors. However, existing deep learning-based fault diagnosis methods demand a ...

Abstract: Deep learning is envisioned to play a key role in the design of future wireless receivers, with proposed architectures ranging from standard end-to-end deep neural networks (DNNs) to hybrid ...