Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...