Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

These standout case studies show how manufacturers have reduced downtime, cut costs, and improved reliability using ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

As the cruise industry accelerates its journey toward net zero, the challenge is no longer simply one of compliance but of foresight. While the International Maritime Organization’s (IMO) long-awaited ...

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

Background: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally and a major public health issue in China. This study aims to develop a COPD predictive model and ...

Abstract: This work proposes an approach that integrates reinforcement learning (RL) and model predictive control (MPC) to solve finite-horizon optimal control problems in mixed-logical dynamical ...

Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. A customer walks into your dealership. You sold them a car three ...

Gry Carl Terrell from the Danish Meat Research Institute introduces a valuable tool to maximise shelf life and ensure food safety A predictive model is a mathematical framework or algorithm that ...

Introduction Chronic obstructive pulmonary disease (COPD) is a significant chronic respiratory condition characterised by persistent airway obstruction, leading to substantial morbidity and mortality ...