5 citations · 5 across the 5 of their papers we have counts for
5 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…
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…
New algorithms for the simplification of multiple trajectories under bandwidth constraints
Gilles Dejaegere, Mahmoud Sakr
This study introduces time-windowed variations of three established trajectory simplification algorithms. These new algorithms are specifically designed to be used in contexts with…