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-world construction environments. The dataset covers scalability across three trajectory lengths and robustness under five network conditions. Experiments were conducted using three construction-site layouts with three repeated trials. The released data include pose graphs, point clouds, communication logs, ground-truth trajectories, and reference site models.
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 dataset was developed for the manuscript entitled “A Sentinel-1/2 Benchmark Dataset and Deep Learning Models for Segmenting Intertidal Biogenic Structures in the Lower Saxony Wadden Sea National Park,” which is currently under review. At this stage, the dataset is provided e…
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…
TITLE: In Silico Design and Engineering of a Multi-Epitope Polyprotein Construct Targeting High-Consequence Global Pathogens and Conserved Cancer-Testis Antigens ABSTRACT:This study presents the computational architecture of a multi-valent prophylactic and immunotherapeutic mRNA…
Abstract: Deep learning has great potential for environmental monitoring, yet real-world applications often face challenges from large-scale, multimodal, and noisy datasets. We introduce GreenNet, a flexible and open-source framework that makes it easier to build and scale deep l…