Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Isaac A. Ojedokun"'
Publikováno v:
Ruhuna Journal of Science, Vol 13, Iss 2, Pp 129-140 (2022)
This study investigated selected meteorological data prediction leveraging on a Machine Learning Algorithm Approach over five selected stations in Nigeria. The algorithm of Machine Learning was explored using weather parameters such as temperature, w
Externí odkaz:
https://doaj.org/article/3c4ee1e7df0545b2ab84186054f7b70c
Publikováno v:
ABUAD Journal of Engineering Research and Development, Vol 7, Iss 2 (2024)
The rapid growth in the mobile industry due to increase in number of users accessing diverse services causes a high demand for radio spectrum. Nonetheless, the radio spectrum allocated for different wireless communication services is restricted. Coop
Externí odkaz:
https://doaj.org/article/5c25d4e180cf487eb322e56d4cad8928
Autor:
Falin Wu, Wasiu Akande Ahmed, Ganiy Ishola Agbaje, Muhammad Abdul Alim Sikder, Isaac A. Ojedokun
Publikováno v:
International Journal of Satellite Communications and Networking. 40:120-132
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7b291d08b353dd6b3b3819b5e3d8ffd
https://doi.org/10.1002/sat.1419
https://doi.org/10.1002/sat.1419
Publikováno v:
International Journal of Information Technology and Computer Science. 11:19-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0ea509239db6297c8855b73c4851878
https://doi.org/10.5815/ijitcs.2019.10.03
https://doi.org/10.5815/ijitcs.2019.10.03
Publikováno v:
International Journal on Communications Antenna and Propagation (IRECAP). 6:146
The prediction of the signal strength received at a particular location is of paramount importance in the determination of overall performance of any wireless system. This prediction depends on the propagation path loss between the base stations and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b53e1b7351c5756810e6f54079d43c3c
https://doi.org/10.15866/irecap.v6i3.9012
https://doi.org/10.15866/irecap.v6i3.9012