An attractive proposition for commercial enterprises and indie developers looking to build speech recognition and ...

In this study, we propose a novel lightweight model specifically for reliable traffic perception in low-light conditions, utilizing an encoder-decoder architecture ... a feature fusion module based on ...

While current deep learning approaches predominantly employ siamese encoders for feature extraction followed by decoding to identify change ... which uses the Axial Attention mechanism to model remote ...

The BCH encoder/decoder provides error correction code (ECC) capabilities for applications such as data storage and transmission. BCH is optimal for applications ...