This study evaluated the combined effect of vegetation and internal water storage (IWS) on evapotranspiration (ET) dynamics in bioretention mesocosms. Twelve mesocosms were arranged under outdoor summer conditions in four configurations: planted/free-drainage (PF), planted/IWS (PI), unplanted/free-drainage …

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 …

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 …

Smartphones and smartwatches are ever-present in daily life, and provide a rich source of information on their users' behaviour. In particular, digital traces derived from the phone's embedded movement sensors present an opportunity for a forensic investigator to gain insight into a person's physical …

Indoor service robots need perception that is robust, more privacy-friendly than RGB video, and feasible on embedded hardware. We present a camera-free 2D LiDAR object detection pipeline that encodes short-term temporal context by stacking three consecutive scans as RGB channels, yielding a compact YOLOv8n …

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 …

The demand for assistive technology is expected to rise alongside the increasing care needs of aging populations. Ambient intelligence, particularly context awareness, offers potential benefits in addressing challenges faced by the healthcare system. In dementia care, context awareness can facilitate …

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 seminar presents a multidisciplinary research path connecting materials science, nanotechnology, and sensor systems. It begins with earlier work on the development and characterization of functional materials, focusing on lead-free piezoelectric materials. The second part introduces ongoing research …