8 citations · 8 across the 5 of their papers we have counts for
6 papers
Federated Learning and Trajectory Compression for Enhanced AIS Coverage
Thomas Gräupl, Andreas Reisenbauer, Marcel Hecko +6
This paper presents the VesselEdge system, which leverages federated learning and bandwidth-constrained trajectory compression to enhance maritime situational awareness by extendin…
Building a Foundation Model for Trajectory from Scratch
Gaspard Merten, Mahmoud Sakr, Gilles Dejaegere
Foundation models are transformative in artificial intelligence, but building them from scratch, especially for mobility trajectories, is not yet clear or documented. This tutorial…
An experimental study of existing tools for outlier detection and cleaning in trajectories
Mariana M Garcez Duarte, Mahmoud Sakr
Outlier detection and cleaning are essential steps in data preprocessing to ensure the integrity and validity of data analyses. This paper focuses on outlier points within individu…
Mobility Stream Processing on NebulaStream and MEOS
Mariana M. Garcez Duarte, Dwi P. A. Nugroho, Georges Tod +7
The increasing use of Internet-of-Things (IoT) sensors in moving objects has resulted in vast amounts of spatiotemporal streaming data. To analyze this data in situ, real-time spat…
GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant
Gaspard Merten, Gilles Dejaegere, Mahmoud Sakr
Geospatial data analysis plays a crucial role in tackling intricate societal challenges such as urban planning and climate modeling. However, employing tools like GeoPandas, a prom…
Using LLMs for Analyzing AIS Data
Gaspard Merten, Gilles Dejaegere, Mahmoud Sakr
Recent research in Large Language Models (LLMs), has had a profound impact across various fields, including mobility data science. This paper explores the and experiment with diffe…