4 papers
Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
Kuldip Singh Atwal, Dieter Pfoser, Daniel Rothbart
Ongoing armed conflict in Sudan highlights the need for rapid monitoring of conflict-related fire-affected areas. Recent advances in deep learning and high-frequency satellite imag…
Graph Enhanced Trajectory Anomaly Detection
Jonathan Kabala Mbuya, Dieter Pfoser, Antonios Anastasopoulos
Trajectory anomaly detection is essential for identifying unusual and unexpected movement patterns in applications ranging from intelligent transportation systems to urban safety a…
Trajectory Anomaly Detection with Language Models
Jonathan Mbuya, Dieter Pfoser, Antonios Anastasopoulos
This paper presents a novel approach for trajectory anomaly detection using an autoregressive causal-attention model, termed LM-TAD. This method leverages the similarities between…
Urban Mobility Assessment Using LLMs
Prabin Bhandari, Antonios Anastasopoulos, Dieter Pfoser
Understanding urban mobility patterns and analyzing how people move around cities helps improve the overall quality of life and supports the development of more livable, efficient,…