Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues-Reference-Cited by-同舟云学术

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Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues

Published:2024-06 Issue: Volume:226 Page:103886
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Mustafa Ehzaz^ORCID,Shuja Junaid,Rehman Faisal,Riaz Ahsan,Maray Mohammed,Bilal Muhammad^ORCID,Khan Muhammad Khurram

Publisher

Elsevier BV

Reference173 articles.

1. Computational offloading in mobile edge with comprehensive and energy efficient cost function: a deep learning approach;Abbas;Sensors,2021

2. Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment: A comprehensive review;Abdulazeez;IEEE Access,2023

3. A lightweight in-vehicle alcohol detection using smart sensing and supervised learning;Abu Al-Haija;Computers,2022

4. Applications, deployments, and integration of internet of drones (iod): a review;Abualigah;IEEE Sens. J.,2021

5. 6G-enabled ultra-reliable low-latency communication in edge networks;Adhikari;IEEE Commun. Stand. Mag.,2022

Cited by 1 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. Dependent Task Offloading and Resource Allocation via Deep Reinforcement Learning for Extended Reality in Mobile Edge Networks;Electronics;2024-06-27

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