Augmenting Quality of Experience in Distance Learning Using Fog Computing-Reference-Cited by-同舟云学术

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Augmenting Quality of Experience in Distance Learning Using Fog Computing

Published:2019-09-01 Issue:5 Volume:23 Page:49-58
ISSN:1089-7801
Container-title:IEEE Internet Computing
language:
Short-container-title:IEEE Internet Comput.

Author:

Pecori Riccardo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4236/8935548/08811565.pdf?arnumber=8811565

Cited by 9 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. ADTO: A Trust Active Detecting based Task Offloading Scheme in Edge Computing for Internet of Things;ACM Transactions on Internet Technology;2024-01-12

2. Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees;Higher Education Learning Methodologies and Technologies Online;2023

3. Comparative Analysis of DoS Attack Detection in KDD CUP99 using Machine Learning Classifier Algorithms;2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC);2022-08-17

4. Towards an Optimal Placement of Learning Resources in a Fog Computing Based E-Learning System: The Case of UVS;Innovations and Interdisciplinary Solutions for Underserved Areas;2022

5. A systematic review on Deep Learning approaches for IoT security;Computer Science Review;2021-05

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