Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible prenatal monitoring in underserved communities.

The air quality monitoring software sector demonstrates robust expansion driven by stringent environmental regulations and escalating urbanization concerns. Rising adoption across industrial ...

According to MarketsandMarkets™, the Computational Storage Market is projected to reach USD 4.30 billion by 2032 from USD 0.93 billion in ...

Abstract: With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes applications that process sensitive user data and make critical decisions, security concerns are ...

This project presents an exhaustive analysis of machine learning techniques for detecting malicious PDF files. By comparing the performance of four binary classification models - Support Vector ...

Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...

GraphStorm is an enterprise-grade graph machine learning (GML) framework designed for scalability and ease of use. It simplifies the development and deployment of GML models on industry-scale graphs ...