Hypertuming GRU Neural Networks for Edge Resource Usage Prediction-Reference-Cited by-同舟云学术

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Hypertuming GRU Neural Networks for Edge Resource Usage Prediction

Published:2021-09-05 Issue: Volume: Page:
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Container-title:2021 IEEE Symposium on Computers and Communications (ISCC)
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Author:

Violos John,Tsanakas Stylianos,Theodoropoulos Theodoros,Leivadeas Aris,Tserpes Konstantinos,Varvarigou Theodora

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9631377/9631248/09631548.pdf?arnumber=9631548

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Predictive Model for Edge Computing Resource Scheduling Based on Deep Neural Network;Computer Modeling in Engineering & Sciences;2024

2. A Brief Review of Population-based Methods for Task Offloading in Cloud-to-Edge Continuum;2023 IEEE 12th International Conference on Cloud Networking (CloudNet);2023-11-01

3. A Study of Optimization in Deep Neural Networks for Regression;Electronics;2023-07-14

4. Adaptive resource allocation for time-critical applications in industrial edge computing using Heuristic-HCMDO approach;2023-07-14

5. GreenKube: Towards Greener Container Orchestration using Artificial Intelligence;2023 IEEE International Conference on Service-Oriented System Engineering (SOSE);2023-07

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