The profiles from data-driven profiling applications are a model of the reality. The interpretability of these profiles for end users, e.g. policymakers, is often far from trivial. How and why these models are obtained by the applications are often regarded as a black box. In recent years several profiling …

Verschenen in het kader van het onderzoeksgebied: 'Monitoring and Predicting on Physical Performance in Daily Life and Sports'

Industrial robot manipulators are widely used for repetitive applications that require high precision, like pick-and-place. In many cases, the movements of industrial robot manipulators are hard-coded or manually defined, and need to be adjusted if the objects being manipulated change position. To increase …

Autonomous robots require high degrees of cognitive and motoric intelligence to come into our everyday life. In non-structured environments and in the presence of uncertainties, such degrees of intelligence are not easy to obtain. Reinforcement learning algorithms have proven to be capable of solving …

TerraTiler2D is a cheap and accessible tool that assists game developers in the procedural generation of 2D sidescroller game worlds during runtime.   Development of TerraTiler2D started on the 8th of February 2021, and the tool is scheduled for release on the Unity Asset store in July of 2021 for …

This research focuses on some globalillumination techniques from the past several years that are reimplemented for relevant (to the time ofthe research) software - a low-level graphics API, such as DirectX 12, and hardware - a modern GPUwith hardware-accelerated raytracing, such as NVIDIA RTX2060. The …

In this article, we report on eight grand challenges for value sensitive design, which were developed at a one-week workshop, Value Sensitive Design: Charting the Next Decade, Lorentz Center, Leiden, The Netherlands, November 14–18, 2016. A grand challenge is a substantial problem, opportunity, or question …

Abstract for World Physiotherapy Congress 2021Title Ethical Considerations of Using Machine Learning for Decision Support in Occupational Physical Therapy: a narrative literature study and ethical deliberation. Authors Marianne W. M. C. Six Dijkstra1,4,7 · Egbert Siebrand2 · Steven Dorrestijn2 · Etto …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been conducted on the classification of dwelling characteristics based on smart meter and weather data before. Gaining insights into dwelling characteristics, which comprise of the type of …

The Amsterdam University of Applied Sciences started a research and education group on Applied Quantum Computing at September 1st 2020. This group has a focus on Quantum Computing and Quantum Sensing. Quantum Computing is done together with the Computer Science program and Quantum Sensing with the new …