In this study, we propose a novel lightweight model specifically for reliable traffic perception in low-light conditions, utilizing an encoder-decoder architecture ... deep two-channel neural network ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

These systems are designed to decode neural signals and translate them into actionable outputs, which can then control a prosthetic limb, assistive technology, or even restore vision. The field of ...

You’ll hear Sampath say that network capacity isn’t a small thing ... Sampath had one of the very clearest answers to the classic Decoder question about decision making here — like I ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

We also employed a Sequence Context Network (SCN) module to capture global sequential features. Subsequently, a Probabilistic Feature Encoder (PFE) encodes the multilevel features from both pipelines ...

Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.