Within the Province of Zeeland, tree removal is generally allowed, but it is required to notify the province and replant an equivalent number of trees within three years. However, there is limited insight into tree removal that is not reported through this mandatory notification system, resulting in …

CO₂ emissions from electricity generation in the Netherlands fluctuate on an hourly basis, depending on which power plants are active in the energy mix. Accurate next-day forecasts of these emissions would enable companies to align energy consumption with low emission periods, but reliable forecasting …

This research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

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 …

Een project waarin het doel was om een prototype te maken waarin handmatige stappen geautomatiseerd worden. Dit door een combinatie van machine learning en computer vision tools te gebruiken om tot een dynamische oplossing te komen die voor een grote hoeveelheid verschillende bouwplannen werkt.

The recent advancements in machine learning (ML) techniques have significantly improved the performance in various natural language processing (NLP) tasks, particularly in deep learning with the transformer architecture. Despite their promising applications in different domains, these innovations have …

The Proactive Experience Center is a practice within Atos, that focuses on proactive workplace management to measure the employee experience of customers. They do this for the following reasons: • Improving the digital workplace; • Creating digital inclusion; • Caring for employee well-being; • Enhancing …

This thesis explores person re-identification in the football domain. BallJames generates tracking data by tracking football players during a match. When an occlusion happens between multiple players, BallJames loses track of the player. Person re-identification could solve this problem by comparing …

In dit rapport wordt het ontwikkeltraject voor een vision-systeem doorlopen om menggranulaat (gebroken puin) te kunnen herkennen. Uit een onderzoek naar bestaande herkenningsmethodes bleek deep learning het meest geschikt. Vervolgens wordt er nader ingegaan op de werking van een deep learning model, …

In dit onderzoek zijn recente ontwikkelingen in Machine Learning (ML) en Deep Learning (DL) met betrekking tot borst-, fibroglandulair (FG)- en tumorweefselsegmentatie in MRI-mammografie in kaart gebracht, de prestaties van deze segmentatiesystemen zijn vergeleken en als laatste worden toekomst toepassingsmogelijkheden …