LAUSR

Intelligent Task Caching in Edge Cloud via Bandit Learning

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1 Published in 2021 at "IEEE Transactions on Network Science and Engineering"

DOI: 10.1109/tnse.2020.3047417

Abstract: Task caching, based on edge cloud, aims to meet the latency requirements of computation-intensive and data-intensive tasks (such as augmented reality). However, current task caching strategies are generally based on the unrealistic assumption of knowing… read more here.

Keywords: task caching; edge cloud; task; intelligent task ... See more keywords

An Intelligent Task Scheduling Mechanism for Autonomous Vehicles via Deep Learning

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1 Published in 2021 at "Energies"

DOI: 10.3390/en14061788

Abstract: With the rapid development of the Internet of Things (IoT) and artificial intelligence, autonomous vehicles have received much attention in recent years. Safe driving is one of the essential concerns of self-driving cars. The main… read more here.

Keywords: intelligent task; task; autonomous vehicles; scheduling mechanism ... See more keywords

Intelligent Task Allocation and Planning for Unmanned Surface Vehicle (USV) Using Self-Attention Mechanism and Locking Sweeping Method

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0 Published in 2024 at "Journal of Marine Science and Engineering"

DOI: 10.3390/jmse12010179

Abstract: The development of intelligent task allocation and path planning algorithms for unmanned surface vehicles (USVs) is gaining significant interest, particularly in supporting complex ocean operations. This paper proposes an intelligent hybrid algorithm that combines task… read more here.

Keywords: task; intelligent task; task allocation; planning ... See more keywords