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, ...
Dot Physics on MSN

Python physics tutorial: Non-trivial 1D square wells explained

Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...
IEEE

Deep Learning-Based Prediction of Ice Accretion Thickness Using Multi-layer Perceptron and MultiSource Meteorological Data

Abstract: This study develops an ice accretion thickness prediction model using a Multilayer Perceptron (MLP) deep learning algorithm based on multi-source meteorological and online icing monitoring ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
IEEE

Iron Loss Extrapolation Predictions for High-Frequency Magnetic Components Using Denoising Diffusion Models

Abstract: This article introduces denoising diffusion probabilistic models to enhance core loss predictions in high-frequency magnetic components. Conventional methods, such as the Steinmetz equation, ...