This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Abstract: Detecting respiratory diseases, particularly lung disorders is crucial due to their global prevalence. Auscultation by experts has been the standard method for detecting lung diseases.

Background: Malaria, caused by Plasmodium parasites transmitted through bites from infected female Anopheles mosquitoes, results in severe symptoms such as anemia and potential organ failure. The high ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

This project implements a U-Net architecture for binary semantic segmentation, specifically designed to segment pets (cats and dogs) from background in images. The model learns to generate pixel-wise ...

Artificial intelligence (AI) can help improve binary code analysis and, in turn, make the software supply chain more secure. Effective binary code analysis is paramount as supply chain risks rise.

This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing and model inference tools for classifying ...