The DLR FR8-LAB, a self-contained measurement-system equipped container has been used to take aerodynamic measurements on operational freight-trains. Transient pressure was measured with 330 sensors, and the global transient-forces and moments have been derived: aerodynamic drag – important for operational efficiency, and side-force and rolling moment – important for safety (the risk of overturning and derailment). LiDAR sensors, satellite navigation and thermal cameras are used to couple the aerodynamic measurements with the operating scenarios. Results have indicated significant differences in aerodynamic characteristics based on the operating conditions of freight trains: loading configuration, tunnels, crosswind – that have a significant impact on operating efficiency, and potentially the safety of operation. Together with wind-tunnel experiments performed in parallel – validated by this real-world data – recommendations for aerodynamic optimization can be made for freight-train and infrastructure operators and manufacturers.
Real-World Validation of Titer-Guided Precision Immunization Against COVID-19 in Rheumatic Patients: A 5-Year non-interventional Longitudinal Cohort Observation To the Editor: The ethical mandate of primum non nocere requires that universal mass vaccination strategies continuousl…
This supplemental dataset supports the study “Benchmarking Centralized and Decentralized Multi-Robot Collaborative SLAM in Real-World Construction Applications.” It contains the experimental data used to benchmark the centralized and decentralized CSLAM architectures in real-worl…
The application of machine learning in healthcare presents unprecedented opportunities for optimizing hospital flow and mitigating surgical delays. However, the deployment of clinical decision support systems is frequently bottlenecked by the fragmented, unstructured nature of El…
Hello. Thank you for taking the time to open this email. During the current times, I know that it can be tougher and tougher to decide who truthful with their work. I stand by my work. Over the course of 15 months, I have read and used every line of code, text, and any other rese…
The Federated Logistics Operations Dataset (FLOD) is a large-scale real-world dataset designed to support research on distributed logistics optimization, predictive modeling, and industrial Internet of Things (IIoT) analytics. The dataset consists of 253,020 operational records c…
Abstract—Abstract—Accurate estimation of health insurance premiums is a complex task due to the nonlinear interaction of demographic, lifestyle, and medical factors. Conventional actuarial models rely on generalized risk pools and limited explanatory variables, often resulting in…