The study used a framework that combines geotechnical data with artificial neural networks—a type of machine learning ...

The research also opens doors for broader applications of multi-objective optimization in renewable process engineering, from ...

Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic management (ATM) to ensure flight safety and efficiency. With the surging demand for air travel and ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

Scientists at the University of Michigan and Carnegie Mellon University have unveiled CATNIP, an open-access platform that ...