Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

NarcoView aims to improve finding narcotic waste dumpsites by utilizing a methodology that reduces reliance on current reporting methods. The project faces challenges in data- and main question is: How does the NarcoView project ensure secure handling of data used on the platform and customize …

This paper introduces and contextualises Climate Futures, an experiment in which AI was repurposed as a ‘co-author’ of climate stories and a co-designer of climate-related images that facilitate reflections on present and future(s) of living with climate change. It converses with histories of writing …

Continuous brain function monitoring in a pediatric intensive care unit is often done using electroencephalography (EEG) for the detection of epileptic seizures in comatose patients. Monitoring an EEG is a time-intensive task for medical professionals, especially when the seizures manifest in a subtle …

INTRODUCTION: Integrated care is seen as an enabling strategy in organising healthcare to improve quality, finances, personnel and sustainability. Developments in the organisation of maternity care follow this trend. The way care is organised should support the general aims and outcomes of healthcare …

Door verbeteringen in Inertia Mesurement Unit (IMU) technologie, is hoogwaardig observationeel onderzoek mogelijk. Echter, bij observationeel onderzoek moet veel meer databewerking gedaan worden. Bedrijven zoals Movella zijn geïnteresseerd in de implementatie van Machine Learning (ML), waarbij verschillende …

Background: Although physical activity (PA) has positive effects on health and well-being, physical inactivity is a worldwide problem. Mobile health interventions have been shown to be effective in promoting PA. Personalizing persuasive strategies improves intervention success and can be conducted using …

Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

For this project the company wants to show personalized search results for holiday destinations on their website. Currently, the company 's system makes recommendations of search results based on deterministic queries on SQL. These search results offer matching results based on keywords. However, these …