Predicting the actual location of faults in underground optical networks using linear regression
Author:
Affiliation:
1. Department of Computer Science and Information The University of Energy and Natural Resources Sunyani Ghana
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12304
Reference45 articles.
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5. 1573-4277. Published by Elsevier. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). vol. 28 April 2018 pp. 43-57.
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