Predicting flood dynamics in data-scarce urban catchments remains a major hydrological challenge, yet physically-based modeling is essential for design mitigation infrastructure. This study assessed the impact of land cover change on the hydrological response and hydraulic performance of the ungauged …

Background. Between 20% and 35% of registered youth players disengage from amateur football clubs within any given season, most without formally withdrawing. Volunteer coaches, who average four to six hours per week on coaching activity, identify individual player feedback as the task they most frequently …

Increased activity of the European beaver (Castor fiber) presents a growing structural threat to regional flood defenses in the Netherlands due to extensive burrowing. Flemish Waerways Beaver Experts did not expect this high of beaver activity and the only sustainable solution against them so far was …

Daskan Inc. manages a diverse portfolio of engineering projects and faces a recurring challenge inaccurately estimating the engineering effort required and understanding differences in project workload and difficulty at the early stage of a project. Currently, these estimations rely heavily on expert …

orecasting the thermal behavior of ?exible heating assets is essential for real-time energy management in heating systems. While thermal dynamics are complex, the optimization algorithms within EMS require low-order models with minimal computational load to make rapid, real-time decisions. To bridge …

The increasing penetration of renewable energy (RE) and hydrogen technologies is reshaping the operational requirements of modern decarbonised energy systems, necessitating advanced control strategies to coordinate renewable generation, hydrogen storage, and heterogeneous end‐use demands. This paper …

Purpose: Emotional exhaustion is a core component of burnout and impacts return-to-work trajectories following sick leave due to burnout or stress. Previous research identified links between emotional exhaustion and sleep, physical activity, mobility, and smartphone usage, yet little is known about how …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

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 …

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 …