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pro vyhledávání: '"E. L. Omoze"'
Autor:
E. L. Omoze, J. O. Emagbetere
Publikováno v:
Arid Zone Journal of Engineering, Technology and Environment, Vol 18, Iss 4, Pp 575-586 (2022)
One of the challenges faced by telecommunication service providers is capacity. The capacity of a cell depends on the model used in planning the cell during deployment stage. This paper presents Artificial Neural Network (ANN) Pathloss Prediction mod
Externí odkaz:
https://doaj.org/article/e8beafc2eaf64508997296dbc9c5fc17
