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pro vyhledávání: '"Okiemute Roberts Omasheye"'
Autor:
Joseph Isabona, Agbotiname Lucky Imoize, Oluwasayo Akinloye Akinwumi, Okiemute Roberts Omasheye, Emughedi Oghu, Cheng-Chi Lee, Chun-Ta Li
Publikováno v:
Information, Vol 14, Iss 11, p 621 (2023)
Benchmarking different optimization algorithms is tasky, particularly for network-based cellular communication systems. The design and management process of these systems involves many stochastic variables and complex design parameters that demand an
Externí odkaz:
https://doaj.org/article/92fbbc2cd5e94ff1b0256a5ddf2677ab
Autor:
Okiemute Roberts Omasheye, Samuel Azi, Joseph Isabona, Agbotiname Lucky Imoize, Chun-Ta Li, Cheng-Chi Lee
Publikováno v:
Future Internet, Vol 14, Iss 12, p 373 (2022)
The accurate and reliable predictive estimation of signal attenuation loss is of prime importance in radio resource management. During wireless network design and planning, a reliable path loss model is required for optimal predictive estimation of t
Externí odkaz:
https://doaj.org/article/e28a50718f5543feaf4c5f430cd44f80
Gaussian Process Regression (GPR) is a fast and powerful non-parametric regression method for data mining and machine learning. The Bayesian optimization method, which has remained one of the standard methods of optimizing the GPR, usually leads to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39d3aeb0fcdf15caffd6cf32e6507e48