Intraflow temporal correlation-based network traffic prediction
J Lu, C Tang, Z Chen, J Guo, A Zou, W Yang, C Tang - Computer Networks, 2025 - Elsevier
Traditional network traffic prediction methods often rely on complex models that extract
features by spatiotemporal dependency analysis in network traffic matrices. However, these …
features by spatiotemporal dependency analysis in network traffic matrices. However, these …
Deep Heuristic Learning for Real-Time Urban Pathfinding
MHA El–Ela, A Hamdi - 2024 International Mobile, Intelligent …, 2024 - ieeexplore.ieee.org
This paper introduces a novel approach to urban pathfinding by transforming traditional
heuristic-based algorithms into deep learning models that leverage real-time contextual …
heuristic-based algorithms into deep learning models that leverage real-time contextual …