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Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training
(2024)This study addresses the integration of diversity-based and uncertainty-based sampling strategies in active learning, particularly within the context of self-supervised pre-trained models. We introduce a straightforward heuristic called TCM that mitigates the cold start problem while maintaining strong performance across various data levels. By initially applying TypiClust for diversity sampling and subsequently transitioning to uncertainty ...Other Conference Item -
SUPClust: Active Learning at the Boundaries
(2024)Active learning is a machine learning paradigm designed to optimize model performance in a setting where labeled data is expensive to acquire. In this work, we propose a novel active learning method called SUPClust that seeks to identify points at the decision boundary between classes. By targeting these points, SUPClust aims to gather information that is most informative for refining the model's prediction of complex decision regions. ...Other Conference Item -
A low-cost commercial off-the-shelf GNSS receiver for space
(2024)EGUsphereThe era of tracking artificial Earth satellites using Global Navigation Satellite Systems (GNSS) began in the early 1980s when a GPS receiver was launched onboard the Landsat-4 mission. Since then, a large number of Low Earth Orbiters has utilized constantly improved GPS receivers for timing and positioning. GNSS has become a key technique not only for satellite orbit determination but also for atmosphere sounding. With the increasing ...Other Conference Item -
Improving the planning of future track interventions using digital tools
(2024)Other Conference Item -
Assimilating UAV-based GNSS ZTDs for Numerical Weather Predictions
(2024)EGUsphereIn recent decades, various studies have demonstrated that assimilating tropospheric parameters from ground-based GNSS receivers benefits numerical weather predictions (NWPs). However, the achieved performance is limited by the spatial resolution of GNSS, especially in the vertical direction. With the rapidly developing and growing market of unmanned aerial vehicles (UAVs) and the facilitates of integrating low-cost GNSS hardware into ...Other Conference Item -
The influence of gouge formation on seismicity and fault slip behavior
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Developing an Automated Observability System for HPC: Integrating Operational and Energy Datasets
(2024)Other Conference Item -
Rethinking operational VGOS observations
(2024)EGUsphereThe VLBI Global Observing System (VGOS) was created to meet the ambitious requirements set by the Global Geodetic Observing System (GGOS). Its primary objective is achieving millimeter-level precision while maintaining continuous 24/7 observations. Currently, both aims remain unfulfilled. Simultaneously, new requirements, such as the development of a dedicated VGOS Celestial Reference Frame (CRF), have emerged. Thus, a reevaluation of our ...Other Conference Item -
GGOS: Ensuring a Coherent Earth Observation System
(2024)EGUsphereThe Global Geodetic Observing System (GGOS) is the response of the international geodetic community, organised under the umbrella of the International Association of Geodesy (IAG), to the need to monitor changes in the Earth system continuously. GGOS is Geodesy’s contribution to the Global Earth Observation System of Systems (GEOSS) by providing the reference frames needed for all position-dependent observations, thus the foundation for ...Other Conference Item -
General Versus Vocational Education in Recruitment: Which Factors Shape Employers’ Preferences Regarding Education?
(2024)Other Conference Item