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 …

Computed tomography (CT) at the third lumbar vertebra (L3) is widely used for muscle quantification, but manual segmentation is labor intensive. This study externally validates an AI model, trained on a public dataset, for automated L3 muscle segmentation using an independent cohort, including a subgroup …

Marine biodiversity is increasingly threatened by climate change, pollution, habitat degradation, and overexploitation, highlighting the need for accurate and efficient monitoring of seafloor habitats. Traditional methods of habitat classification and species identification are time-consuming, labour-intensive, …

As artificial intelligence (AI) systems are increasingly deployed in high-risk financial decision-making contexts, the demand for transparency and interpretability becomes critical. Explainable AI (XAI) has emerged as a key research domain addressing these needs. While most existing XAI studies emphasize …

Het onderzoek brengt in kaart hoe ondernemers in de melkveehouderij nu en in de toekomst kennis en vaardigheden opdoen. Melkveehouders leren momenteel vooral via internet, collega-ondernemers en adviseurs, waarbij persoonlijk contact het meeste vertrouwen geniet. Wet- en regelgeving wordt als belangrijkste …

Purpose: To suggest how business schools can respond when generative AI automates routine, entry-level tasks and erodes early-career opportunities. The paper addresses a focused question: What can a business school do when graduates’ entry-level jobs are replaced or reconfigured by AI? Approach: This …

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 …

Over de betrouwbaarheid van AI, en de mogelijkheden binnen verschillende sectoren.

Bevat de volgende student-papers: Introductie paperopdracht 1. AI in de Vers Logistiek: Efficiëntie versus Duurzaamheid 2. Van Wegwerp naar Waarde: Hoe Herbruikbare Ladingdragers de Supply Chain Verduurzamen 3. Duurzaam inkopen in de mode-industrie: Werkelijke impact of greenwashing? 4. Conditiegebaseerd …