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 ...
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 ...
GitHub

CCParser - Powerful Credit Card Parsing & Validation Library

CCParser is a robust and efficient Python library designed for seamless credit card parsing, validation, and formatting. It can extract card details from clean, delimited strings and messy real-world ...
IEEE

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
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

DeepEcon：Your one-stop Python package for econometric algorithms

If you need support for a new econometric algorithm or have an idea for an implementation, please submit your request via GitHub Issues. After evaluation, we'll add it to our DEVPLAN for future ...