Gaussian Process Regression Ensemble Model for Network Traffic Prediction-Reference-Cited by-同舟云学术

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Gaussian Process Regression Ensemble Model for Network Traffic Prediction

Published:2020 Issue: Volume:8 Page:176540-176554
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bayati Abdolkhalegh^ORCID,Nguyen Kim-Khoa^ORCID,Cheriet Mohamed^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Ciena

Canada Research Chair, Tier 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09204965.pdf?arnumber=9204965

Cited by 11 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. Mobile network traffic analysis based on probability-informed machine learning approach;Computer Networks;2024-06

2. Flow Size Prediction with Short Time Gaps;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

3. Network Traffic Forecasting Model Based on Improved Fireworks Algorithm Optimized CNN-BiGRU;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

4. Time series and ensemble models to forecast banana crop yield in Tanzania, considering the effects of climate change;Resources, Environment and Sustainability;2023-12

5. Survey on Machine Learning for Traffic-Driven Service Provisioning in Optical Networks;IEEE Communications Surveys & Tutorials;2023

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