Abstract Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring …

Concrete made with geopolymer binders instead of conventional Portland cement is called geopolymer concrete. It is an alternative to conventional concrete and has several advantages in terms of material performance and environmental sustainability. In this study, the geopolymer concrete mixtures were …

Adding microalgae into food could strongly influence the flavor of the final product which is the key factor for consumer acceptation. To assist food processors in the development of tasteful food products containing microalgae, it is necessary to understand the impact of processing and storage on the …

This graduation project, led by the Smart Industry research group at Saxion together with the Ambient Intelligence research group (AmI), aims to create an energy analysis tool for the SERENE/SUSTENANCE projects in the Dutch sustainable communities of Vriendenerf and Aardehuis. The goal of the project …

A prototype of an indoor monoblock heat pump was tested at multiple ambient temperatures, to determine heat output, COP and the impact of defrosting events. Component efficiencies and the ice accumulation process were analysed. Options to improve performance were suggested.

Peer-reviewed artikel over semantische segmentatie van point clouds.

The graduation project of Andrii Roizin, a software engineering student at Saxion, was developed as a part of the Sportkeur 2.0 project. This project is led by Go2Sure and the Saxion Ambient Intelligence research group is one of its partners.             The purpose of the project was to discover the …

Airborne pollen monitoring is of global socio-economic importance as it provides information on presence and prevalence of allergenic pollen in ambient air. Traditionally, this task has been performed by microscopic investigation, but novel techniques are being developed to automate this process. Among …

The goal of this study was to develop an automated monitoring system for the detection of pigs’ bodies, heads and tails. The aim in the first part of the study was to recognize individual pigs (in lying and standing positions) in groups and their body parts (head/ears, and tail) by using machine learning …