Prediction of low accessibility in 4G networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12243-021-00849-9.pdf
Reference21 articles.
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3. Bennacer L, Amirat Y, Chibani A, Mellouk A, Ciavaglia L (2015) Self-diagnosis technique for virtual private networks combining bayesian networks and case-based reasoning. IEEE Trans Automation Science Eng 12(1):354–366. https://doi.org/10.1109/tase.2014.2321011
4. Chigurupati A, Lassar N (2017) Root cause analysis using artificial intelligence. In: 2017 Annual reliability and maintainability symposium (RAMS), pp 1–5. https://doi.org/10.1109/RAM.2017.7889651
5. Kennedy D (2017) D2.6 Final report on programme progress and KPIs, https://5g-ppp.eu/wp-content/uploads/2017/10/Euro-5G-D2.6_Final-report-on-programme-progress-and-KPIs.pdf
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