Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
Psychology Today

Has the Strength Model of Self-Control Been Depleted?

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...
IEEE

Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks

Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
webtv.un.org

UN High-Level Meeting on the Prevention and Control of Noncommunicable Diseases and the Promotion of Mental Health

The UN High-Level Meeting on the Prevention of Noncommunicable Diseases and Mental Health (NCDs) in 2025 is a key moment for Heads of State and Government, civil society, academia, philanthropies, and ...
Entrepreneur

Why Predictive Service Is the Next Big Thing For Your Customer Service

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...
GitHub

Nonlinear model predictive control(NMPC) with Extended State Observer(ESO) for robust quadrotor control, built on PX4 autopilot framework.

src/ ├─ px4ctrl/ # ESO-NMPC controller core ├─ sim_rc/ # Remote control simulator │ └─ sim_rc_node # Gazebo RC simulation node ├─ utils/ # Dependency packages │ ├─ cmake_utils/ # CMake configuration ...
C&EN

Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
IEEE

Nonlinear Model Predictive Control for Internet of Things Using Particle Swarm Optimization and Cloud Computing

Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...