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Hybrid Online-Offline Learning for Task Offloading in Mobile Edge Computing Systems
We consider a multi-user multi-server mobile edge computing (MEC) system, in which users arrive on a network randomly over time and generate computation tasks, which will be computed either locally on their own computing devices or be offloaded to one of the MEC servers.
Artificial intelligence based prediction on lung cancer risk factors using deep learning
We identified that lung cancer is one of the significant research issues in predicting the early stages of cancer disease.
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees
We consider a multichannel random access system in which each user accesses a single channel at each time slot to communicate with an access point (AP).
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