Recently, a research team led by Prof. XIE Pinhua from the Hefei lnstitutes of Physical Science of the Chinese Academy of ...

A proposed hybrid model (post-CNN linear filter) generally improved performance, particularly by mitigating harmonic issues for models like DDCAE. These findings highlight significant performance ...

Optimized CNN and CRNN for Advanced Classification and Regression This repository contains the implementation for my third major project, "Optimized CNN and CRNN for Advanced Classification and ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides.. If you have the appropriate software installed, you can download article citation data ...

What is Model Context Protocol? The emerging standard bridging AI and data, explained MCP is the key to unlocking AI's full potential in the enterprise, the cloud, and beyond. Here's why.

Intelligent transceivers and wireless channels form an autoencoder (AE) structure, demonstrating a significant improvement in communication performance through end-to-end (E2E) learning. Recently, ...

In this viewpoint, we briefly review recently developed autoencoder-based models designed to enhance the conformational exploration of IDPs through embedding and latent sampling.