The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Krupchytskyi: Deep learning networks are particularly good at analyzing large amounts of unstructured data, like images and text. It's widely used in chatbots, image recognition like that required for ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...