This book explores fundamental socio-economic trends that are radically changing perspectives on the relationship between people and the world around them. Focusing on the principles of sustainability, circularity and inclusivity, it illustrates how these trends form the breeding ground for a new economy …

Bedrijven worden in toenemende mate geconfronteerd met de opkomst van innovatieve en steeds intelligenter wordende digitale technologieën zoals sociale robots, wearables, interactieve schermen, augmented reality (AR), virtual reality (VR), hologrammen, slimme sensoren, en internet of things. Deze technologieën …

This research investigates growth inhibitors for smart services driven by condition-based maintenance (CBM). Despite the fast rise of Industry 4.0 technologies, such as smart sensoring, internet of things, and machine learning (ML), smart services have failed to keep pace. Combined, these technologies …

In this paper, we present a framework for developing a Learning Health System (LHS) to provide means to a computerized clinical decision support system for allied healthcare and/or nursing professionals. LHSs are well suited to transform healthcare systems in a mission-oriented approach, and is being …

Location data is a sensitive data type that is collected on a wide scale and is easily misused as it can reveal sensitive personal information. Popular and upcoming technologies like AI and IoT devices can play a meaningful role in this as they become more prevalent and integrated into our daily-use …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

In this report, a proof-of-concept is described for an admin dashboard which has been integrated with 'vertical farm ' installations. This dashboard allows the end-user to monitor, control and automate many such installations through a global dashboard with the primary objective to allow for large-scale …

A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation and the maintenance costs of such low power networks. Performance evaluations …

This research investigates power optimization in Thread mesh wireless networks through an algorithmic approach, aiming to reduce overall power consumption while maintaining reliable network performance. Transmission power serves as a key parameter for achieving energy efficiency, and the study focuses …