Manufacturing firms are increasingly adopting AI to improve inspection, maintenance, scheduling, robotics, digital twins, knowledge management, and supply chain coordination. However, these applications do not automatically create human-centered progress. Without deliberate organizational maturity, AI …

Due to growing power consumption and the energy transition, installation of high-voltage underground cables (HVUC) is becoming increasingly crucial for increasing transmission capacity while minimising societal and environmental disruption. This thesis, completed in a professional setting at Witteveen+Bos, …

This study evaluated the feasibility of a buoyant V-block closure joint for application within the Fraser River Tunnel Project and compared its performance against alternative closure joint concepts. The results demonstrate that the buoyant V-block is a technically feasible closure joint solution under …

Human-centered AI must confront tensions between mutually incompatible fairness definitions and fairness requirements of algorithmic decision-making (ADM) systems. To investigate how people perceive this trade-off and how this perception can guide engineering requirements, we determine the underlying …

Background and aim. To improve the indoor environmental quality (IEQ) in schools, the Dutch government issued a program of requirements (PoR) “Fresh Schools”. This study aims to determine the effect of adopting class A (high IEQ) or B (moderate IEQ) of this PoR on students’ comfort and performance. Requirements …

The growing adoption of residential and community-based photovoltaics (PV) have raised concerns about grid congestion and transformer overload. This paper evaluates three strategies for PV–battery integration in decentralised energy communities using real network and residential data to address these …

Het artikel onderzoekt de effectiviteit van geautomatiseerde clustering in gepersonaliseerde toepassingen op basis van gegevenskenmerken. Het evalueert drie clusteringalgoritmen met verschillende aantallen clusters en subsets van kenmerken. De studie vergelijkt de nauwkeurigheid van modellen in verschillende …

This thesis explores how column placement in a semi-sunken parking garage can be optimised to enhance traffic flow, maximise parking capacity, and reliably transfer structural loads from four residential floors above. The project is based on the Sea & City development in Vlissingen, the Netherlands—a …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …

In this thesis, we focus on developing behaviours for socially interactive agents (SIAs). The context in which the agent is used is a self-regulated learning system for children. We focus on personalising learning objectives and interaction content within an intelligent tutoring system (ITS). We envision …