A better understanding of how the human brain represents objects that exist in nature, such as rocks, plants, animals, and so ...

New research reveals that the brain may be learning even during unstructured, aimless exploration. By recording activity in ...

Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend implementation, and ...

Deep learning (DL) techniques have exhibited considerable advantages in automatic modulation classification (AMC) tasks, achieving high classification accuracy. However, most DL-based AMC methods ...