This thesis investigates the development of internal shear stresses in stiffened-core deep composite pile foundations, with particular focus on the FUNDEX Combi Pile system. These piles are widely used in urban environments due to their vibration-free installation and ability to perform under challenging …

Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

Power-to-X technologies play a crucial role in accelerating the energy and material transition. A key opportunity lies in integrating these systems with existing bio-based infrastructures such as anaerobic digesters, providing a reliable source of biogenic carbon. Developing effective Power-to-Methanol …

The Local Context Summary Memo (LCSM) supports the municipality of Arnhem in advancing its urban heat adaptation efforts. It is part of the Cool Cities project, an EU Interreg North Sea Region initiative involving seven case study cities that test innovative, transferable methods for understanding and …

Cool Cities Rotterdam Local Context Summary Memo The Local Context Summary Memo (LCSM) supports the municipality of Arnhem in advancing its urban heat adaptation efforts. It is part of the Cool Cities project, an EU Interreg North Sea Region initiative involving seven case study cities that test innovative, …

Cool Cities Middelburg Local Context Summary Memo The Local Context Summary Memo (LCSM) supports the municipality of Arnhem in advancing its urban heat adaptation efforts. It is part of the Cool Cities project, an EU Interreg North Sea Region initiative involving seven case study cities that test innovative, …

Methane, the primary component of natural gas, emits less carbon dioxide than other petroleum-based fuels but faces challenges in efficient storage and transportation. Advanced adsorption materials provide a safe and cost-effective solution, with metal–organic frameworks (MOFs) emerging as promising …

Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …

De praktijk heeft veel behoefte aan professionals die kunnen bijdragen aan het ontwerpen en beheren van digitale systemen die rechtmatig, rechtvaardig, effectief en gebruiksvriendelijk zijn. Dit materiaal is ontwikkeld vanuit de leergemeenschap Digitale vertalingen.

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …