evolutionary algorithms 1graph neural networks 1neural architecture search 1spatiotemporal modeling 1traffic prediction 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Neural Architecture Search for Traffic Prediction: A Survey of Methods, Challenges, and Future Directions
Truong Giang Vu, Li Yang, Richard W. Pazzi
The paper surveys how neural architecture search techniques are used to automatically design deep learning models for traffic prediction, reviewing gradient‑based, evolutionary, an…
cs.CR2026
Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions
Yasamin Fayyaz, Li Yang, Khalil El-Khatib
CubeSats have revolutionized access to space by providing affordable and accessible platforms for research and education. However, their reliance on Commercial Off-The-Shelf (COTS)…
cs.CY2025
Traffic Intersection Simulation Using Turning Movement Count Data in SUMO: A Case Study of Toronto Intersections
Harshit Maheshwari, Li Yang, Richard W Pazzi
Urban traffic simulation is vital in planning, modeling, and analyzing road networks. However, the realism of a simulation depends extensively on the quality of input data. This pa…