Machine Learning Approach for Automatic Fault Detection and Diagnosis in Cellular Networks-Reference-Cited by-同舟云学术

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Machine Learning Approach for Automatic Fault Detection and Diagnosis in Cellular Networks

Published:2020-05-26 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
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Author:

Porch Jamale Benitez,Heng Foh Chuan,Farooq Hasan,Imran Ali

Funder

University of Surrey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9234968/9234953/09234962.pdf?arnumber=9234962

Cited by 8 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 data‐driven assessment of mobile operator service quality in Ghana;THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES;2023-12-28

2. Psychological Restrain for Fault Detection in Reinforcement Learning;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03

3. Evaluation of Load Balancing Systems for Urban-Macro Mobile Network Based on Social Context;2023 IEEE Seventh Ecuador Technical Chapters Meeting (ECTM);2023-10-10

4. Proactive Self-Healing Approaches in Mobile Edge Computing: A Systematic Literature Review;Computers;2023-03-13

5. Learning Long- and Short-Term Temporal Patterns for ML-Driven Fault Management in Optical Communication Networks;IEEE Transactions on Network and Service Management;2022-09

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