Improving internet of vehicles research: A systematic preprocessing framework for the VeReMi datasetZenodo
The Vehicular Reference Misbehavior Dataset (VeReMi) is a vital resource for advancing Intelligent Transportation Systems (ITS) and the Internet of Vehicles (IoV). However, its large size (∼7 GB) and inherent class imbalance pose significant challenges for machine learning model development. This pa...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2025-06-01
|
| Schriftenreihe: | Data in Brief |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S2352340925003312 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|