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 …

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 …

This paper presents a case study where a model predictive control (MPC) logic is developed for energy flexible operation of a space heating system in an educational building. A Long Short-Term Memory Neural Network (LSTM) surrogate model is trained on the output of an EnergyPlus building simulation model. …

INTRODUCTION: Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. Identifying the factors contributing to these differences could support tailored PA interventions. This study aims to examine …

The pressing need for YourSurprise, a global e-commerce business that specializes in personalized gifts, to broaden its SEO linkbuilding approach is addressed by this research. The study identifies a significant over-reliance on guest blogging, which currently accounts for 97.6% of the 2024 backlink …

Dit artikel bespreekt een dynamische benadering van de muzikale (talent)ontwikkeling bij jonge kinderen (Steenbeek, Van Geert & Van Dijk, 2011). Volgens een theoretisch, dynamisch kader is ontwikkeling een emergente eigenschap. Talent kan bij elk kind ontstaan als er een opwaarts dynamisch proces tot …

BACKGROUND: Physical activity is essential in burn care to counteract the effects of severe burns and inactivity during hospitalization. However, detailed knowledge of performed physical activities is lacking. This study evaluated the feasibility of a dual accelerometer-based method to assess type, frequency, …

Reliability is a constraint of low-power wireless connectivity, commonly addressed by the deployment of mesh topology. Accordingly, power consumption becomes a major concern during the design and implementation of such networks. Thus, a mono-objective optimization was implemented in this work to decrease …

A modified genetic algorithm (MGA) optimization procedure, alongside time series machine learning (ML) classifiers, is proposed to minimize handovers in a digital twin-based visible light communication (VLC) system. Frequent handovers have a direct impact on the overall performance of the VLC system …