BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
IEEE

Model Predictive Control for Adaptive Energy-Efficient Street Lighting: A Comprehensive Framework and Case Study

Abstract: This study tackles the challenge of optimizing light emitting diode (LED) street lighting to enhance energy efficiency without compromising safety and comfort in dynamic urban environments.

How OpenAI is defending ChatGPT Atlas from attacks now - and why safety's not guaranteed

An 'automated attacker' mimics the actions of human hackers to test the browser's defenses against prompt injection attacks. But there's a catch.
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Opinion
Morning Overview on MSNOpinion

Firms hire AI specialists over data engineers, and it’s backfiring

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can transform their businesses overnight. Instead, many are discovering that without ...
INQUIRER.net USA

Why startups prefer a trusted fuel delivery app development company in 2026

Discover why startups in 2026 prefer trusted fuel delivery app development companies for safety compliance, logistics and ...
C&EN

Experimental Nonlinear Model Predictive Control of Crystal Size and Yield in Batch Cooling Crystallization Enabled by Soft Sensor and Symbolic-Based Calibration Model

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...
IEEE

Robust Model Predictive Control for Nonlinear Systems With Incremental Control Input Constraints

Abstract: This paper presents a robust model predictive control (RMPC) algorithm for nonlinear discrete-time systems subject to bounded disturbances and incremental control input constraints. To ...
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 ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
The American Journal of Managed Care

Breast Cancer and the Use of Predictive Genomics

Predictive genomics enhances breast cancer management by integrating predictive medicine, personal genomics, and translational bioinformatics for personalized care. Key applications include ...