The Spatiotemporal Data Analysis research group does research on machine learning algorithms to solve the challenges related to developing sustainable smart cities, mainly related to navigation and situational awareness.
For more details visit:
- Description: A short description of the paper.
- 🌟 Publication/Documentation
- 📁 Repository
For a full list of our projects, please explore:
Repository Name | Purpose | Last changes |
---|---|---|
subsystem-discovery | Code for the ECAI2024 paper Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders | 05 Feb 2025 |
Towards-Jammer-Fingerprinting | Code for fingerprinting paper published in ICL-GNSS 2024 | 21 Jan 2025 |
conciliator | The project is a code implementation for the TCML paper "Conciliator steering: Imposing user preference in MORL decision-making problems" (2024). | 17 Jan 2025 |
AnomalyDetectionLSTM | Code for gnss anomaly detection paper published in ICL-GNSS 2024 | 17 Jan 2025 |
AIforLEssAuto | No description provided. | 17 Jan 2025 |
JASPER-Jamming-signal-propagation-modeler | Jamming signal propagation modeler | 07 Jan 2025 |
Sensor-Fusion | Code for "A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow" | 05 Sep 2024 |
SPINS | No description provided. | 30 Jul 2024 |
All repositories are open-source and released under MIT License.