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Proactive edge caching in vehicular networks: An online bandit learning approach
Q Wang, D Grace - IEEE Access, 2022 - ieeexplore.ieee.org
Proactively caching content at the network edge is particularly effective in high-mobility
vehicular networks, where intermittent connection is the major challenge for seamless …
vehicular networks, where intermittent connection is the major challenge for seamless …
[HTML][HTML] Deed: Deep evidential doctor
Abstract As Deep Neural Networks (DNN) make their way into safety-critical decision
processes, it becomes imperative to have robust and reliable uncertainty estimates for their …
processes, it becomes imperative to have robust and reliable uncertainty estimates for their …
Mobility-prediction based proactive edge caching in vehicular networks
Q Wang - 2022 - etheses.whiterose.ac.uk
This thesis studies and designs machine intelligence based mobility-prediction algorithms to
address the proactive edge caching problem in vehicular networks. In particular, the thesis …
address the proactive edge caching problem in vehicular networks. In particular, the thesis …
A Difficulty in Trust Modelling
T Muller - IFIP International Conference on Trust Management, 2023 - Springer
There are various trust models, and no pair are the same. Why is there no consensus on
what the best trust model is yet? In this paper, we prove some impossibility results, that …
what the best trust model is yet? In this paper, we prove some impossibility results, that …