Abstract: Model Predictive Control (MPC) is a useful solution for control problems with nonlinear characteristics and constraints. However, the online implementation of nonlinear MPC is challenging ...
Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).
Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...
Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
An index of the U.S. economic outlook dropped in April, according to research group The Conference Board, which assembles the metric. The Conference Board's leading economic index, published Monday, ...
Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.
Maria Lungu receives funding from the University of Virginia, Digital Technology for Democracy Lab. She is affiliated with nonprofit Center for AI and Digital Policy (CAIDP). The 2002 sci-fi thriller ...
The construction industry stands at a crossroads. With skilled labor shortages, rising costs, and increasing project complexity, traditional approaches to project management are showing their ...
Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...
Point Predictive on Tuesday released its 2025 Auto Lending Fraud Trends Report, detailing that finance companies face an estimated $9.2 billion in fraud loss exposure for 2025 — the highest ever ...