Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

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

A New Method to Steer AI Output Uncovers Vulnerabilities and Potential Improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Noise-Resilient Protection Algorithm in Renewable Integrated Microgrid Based on Zero-Sequence Current Detection, Differential Faulty Energy, VMD, and SVM

Abstract: The integration of renewable energy sources into microgrids introduces significant challenges in protection, stability, and reliability. Reliable protection of renewable integrated ...
GitHub

[OSDI'25 Artifact] Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD

Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...
IEEE

Research on Cross-Domain Multi-Source Threat Intelligence Automatic Fusion Based on SVM Algorithm

Abstract: With the increasing complexity and diversity of network threats, automatic fusion of cross-domain and multi-source threat intelligence has become an important research direction to ensure ...