Since 2007, a series of Innovation Camps have been organized to enable students from diverse engineering disciplines and cultural backgrounds to work in teams developing innovative concepts and products from an industrial perspective. These summer schools, titled "Conceptual Design and Development of …

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 …

This chapter “Sustainable City Logistics” explores how cities are transitioning toward more efficient, low-emission, and multimodal logistics systems. Traditional urban freight has long depended on vans and trucks, which, while essential, contribute significantly to congestion, emissions, and noise. …

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 …

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 …

Reinforcement learning offers a promising approach for personalized, early-stage detection of behavioral events such as agitation in individuals with dementia, particularly when contextual insights from care staff are integrated. Given the scarcity and the ethical constraints of real-world agitation …

This chapter “Sustainable City Logistics” explores how cities are transitioning toward more efficient, low-emission, and multimodal logistics systems. Traditional urban freight has long depended on vans and trucks, which, while essential, contribute significantly to congestion, emissions, and noise. …

Background and Aim. In the Dutch healthcare sector, staff shortages coinciding with an increased care demand due to an aging population, have become a pressing issue. In many hospitals, staff work part-time, workloads and absenteeism are growing, and staff are leaving. The Dutch facility management (FM) …

Artificial Intelligence (AI) is transforming workflows across various industries, including life sciences. When deployed securely, generative AI tools can automate structured programming tasks. In clinical research, a significant challenge is converting raw trial data into the formats required for regulatory …