IEEE

Deep Reinforcement Learning for Dependent Task Offloading in Multi-Access Edge Computing

Abstract: Multi-access Edge Computing (MEC) is an emerging and promising computing paradigm that distributes computational resources closer to users at the network edge, effectively reducing both ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
IEEE

Deep-Q-Learning-Based Proportional-Integral Event-Triggered Fuzzy Output Control of Variable Speed AGVs Via Proportional-Integral Observer

Abstract: This paper focuses on the T-S fuzzy output path tracking control issue for variable speed autonomous ground vehicles (VSAGVs) by using state observer and event-triggered mechanism. The model ...