Additions to the book "Systems Design and Engineering" by Bonnema et.al. Subjects were chosen based on the Systems Engineering needs for Small and Medium Enterprises, as researched in the SESAME project. The

Data-driven modeling is an imperative tool in various industrial applications, including many applications in the sectors of aeronautics and commercial aviation. These models are in charge of providing key insights, such as which parameters are important on a specific measured outcome or which parameter …

Recently, the job market for Artificial Intelligence (AI) engineers has exploded. Since the role of AI engineer is relatively new, limited research has been done on the requirements as set by the industry. Moreover, the definition of an AI engineer is less established than for a data scientist or a software …

Koen Kok, Full professor Electrical Engineering, Electrical Energy Systems, Eindhoven University of Technology heeft een presentatie verzorgd over Intelligente Systemen voor de Energietransitie: AI, het (lokale) Elektriciteitssysteem en Energiesysteemintegratie, en geeft inzicht in het Intelligent Energy …

This book is both a short introduction to the recent developments, challenges and opportunities in Aviation Maintenance, Repair and Overhaul(MRO), and at the same time, a presentation of the research focal areas and the key waypoints towards smarter and more sustainable MRO. Innovation and integration …

The Inverted Pendulum is one of the classical control problems of an inherently unstable system. The idea is that the pendulum, fixed on a cart, stays upright in its vertical position while the cart is moving, or disturbances are applied. The system is used to demonstrate the capability of the target …

Renewable energy sources have an intermittent character that does not necessarily match energy demand. Such imbalances tend to increase system cost as they require mitigation measures and this is undesirable when available resources should be focused on increasing renewable energy supply. Matching supply …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …