Accelerating Security Modernization With The Model Context Protocol

The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...
IEEE

Reinforcement Learning With Model Predictive Control for Highway Ramp Metering

Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...
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 ...
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 ...
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 ...
Scientific Research Publishing

A Simulation Framework for Exploring the Impacts of Vehicle Platoons on Mixed Traffic under Connected and Autonomous Environment ()

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...
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 ...