Slomp, J. and Gupta, J.N.D., Lean Planning & Control in a High-Variety/Low-Volume Environment, 2024, in Challenging the Future, Proceeding of the European Lean Educator Conference, ELEC 2023, ‘s-Hertogenbosch, The Netherlands, October 24–26, 2023, Editors Ton van Kollenburg, Alinda Kokkinou, and Olivia …

In this paper, we present a framework for developing a Learning Health System (LHS) to provide means to a computerized clinical decision support system for allied healthcare and/or nursing professionals. LHSs are well suited to transform healthcare systems in a mission-oriented approach, and is being …

Consider the clinical reasoning process of the physiotherapist: the physiotherapist analyses the information (data) available from different sources (the client’s narrative/perspective, context, medical history/examination), formulates hypotheses (rationalisation) on the basis of prior knowledge (natural …

Deepfake videos are defined as a resulting media from the synthesis of different persons images and videos, mostly faces, replacing a real one. The easy spread of such videos leads to elevated misinformation and represents a threat to society and democracy today. The present study aims to collect and …

Circular and elliptical motion are fundamental topics in physics education, yet learners often struggle to grasp them. We investigate how interactive qualitative representations can be used to describe the characteristic behavior of circular and elliptical motion. We use the vocabulary and algorithms …

The decomposition of a body is influenced by burial conditions, making it crucial to understand the impact of different conditions for accurate grave detection. Geophysical techniques using drones have gained popularity in locating clandestine graves, offering non-invasive methods for detecting surface …

The decomposition of a body is influenced by burial conditions, making it crucial to understand the impact of different conditions for accurate grave detection. Geophysical techniques using drones have gained popularity in locating clandestine graves, offering non-invasive methods for detecting surface …

This thesis explores the development and integration of an automatic riggingtool as part of a web-based remote motion capture platform. The main objec-tive is to create a custom Auto Rigger using Python for Maya and seamlesslyincorporate it into the existing TPose platform.The research begins by investigating …

The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning approach (ML) to study the psychosocial domains of frailty in cardiac …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …