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 …

Passenger flow management is an important issue at many airports around the world. There are high concentrations of passengers arriving and leaving the airport in waves of large volumes in short periods, particularly in big hubs. This might cause congestion in some locations depending on the layout of …

Passenger flow management is an important issue at many airports around the world. There are high concentrations of passengers arriving and leaving the airport in waves of large volumes in short periods, particularly in big hubs. This might cause congestion in some locations depending on the layout of …

Cone beam CT scanners use much less radiation than to normal CT scans. However, compared to normal CT scans the images are noisy, showing several artifacts. The UNet Convolutional Neural Network may provide a way to reconstruct the a CT image from cone beam scans.

In the operational systems of the Dutch Public Prosecution Service, data about criminal cases are registered. This information is used to generate crime statistics or other management information as input for policymaking. A key element for these statistics is the crime type of a case, which is normally …

Dit document heeft betrekking tot de afstudeeropdracht van Mathijs Hudepohl. De opdracht is een verplicht onderdeel van de Bachelor studie HBO-ICT Software Engineering vanuit Saxion University of Applied Sciences te Enschede. De opdracht is uitgevoerd in opdracht van Nedap N.V., gevestigd in Groenlo. …

From the article: Abstract: An overview of neural network architectures is presented. Some of these architectures have been created in recent years, whereas others originate from many decades ago. Apart from providing a practical tool for comparing deep learning models, the Neural Network Zoo also uncovers …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for …

A considerable amount of literature has been published on Corporate Reputation, Branding and Brand Image. These studies are extensive and focus particularly on questionnaires and statistical analysis. Although extensive research has been carried out, no single study was found which attempted to predict …

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutiona Neural Network (CNN).