Gaussian Splatting has emerged as a powerful technique for high-fidelity 3D scene representation, yet its computational demands hinder rapid visualization, particularly on CPU-based systems. This paper introduces a lightweight method for efficient thumbnail generation from Gaussian splatting data, leveraging …

This deliverable is one of the results of the project Research on Energy Data Utilization for Carbon Emission Decline by Heat pumps and Efficiency, while Assuring Thermal Comfort Achievement in Residential Buildings (REDUCEDHEATCARB). This deliverable documents the real-world validation of the REDUCEDHEATCARB …

The increasing prevalence of antimicrobial-resistant (AMR) bacteria in humans, animals, and the environment underscores the necessity for a rapid, sensitive, and specific method to identify resistance genes. Objectives: This study aims to develop a reliable detection tool for identifying the tetracycline-resistant …

Quality improvements (QIs) in dynamic and complex health care contexts require resilience and take variability into account in quality improvement. The Functional Resonance Analysis Method (FRAM) helps us understand resilience and gain insight into (un)desirable variability in the complex system of daily …

This paper explores the influence of various camera settings on the quality of 3D reconstructions, particularly in indoor crime scene investigations. Utilizing Neural Radiance Fields (NeRF) and Gaussian Splatting for 3D reconstruction, we analyzed the impact of ISO, shutter speed, and aperture settings …

This research aims to evaluate the usability, efficiency, user satisfaction, and cost-effectiveness of different augmented reality hardware in the quality control process within a manufacturing environment. The study focuses on the application of AR technologies to enhance industrial practices, particularly …

This PA project, part of the WUNDER initiative, examined the technical and visualization requirements of the WUNDER drought monitoring system for end-users, specifically farmers. Using the STEMMUS-SCOPE model, the system aims to identify the best strategies for managing and adapting agriculture and nature …

Het hoofddoel van dit onderzoek was om een methode te ontwikkelen en ontwerpen met behulp van een parametrische script om een bouwtechnisch uitvoerbare gevel vanuit muzikale patronen met 3D-geprint beton te realisea­ren. De vertaling naar een ruimtelijke vorm wordt in dit onderzoek gerealiseerd door …

Slomp, J. and Gupta, J.N.D., Lean Planning & Control in a High-Variety/Low-Volume Environment, 2024, in Challenging the Future, Proceeding of the European Lean Educator Conference, ELEC 2023, ‘s-Hertogenbosch, The Netherlands, October 24–26, 2023, Editors Ton van Kollenburg, Alinda Kokkinou, and Olivia …

Process Mining can roughly be defined as a data-driven approach to process management. The basic idea of process mining is to automatically distill and to visualize business processes using event logs from company IT-systems (e.g. ERP, WMS, CRM etc.) to identify specific areas for improvement at an operational …