Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Mustapha, A. O."'
Autor:
Olajide-Kayode, Jerry O., Kolawole, Tesleem O., Oyaniran, Opeoluwa O., Mustapha, Shakirat O., Olatunji, Akinade S.
Publikováno v:
In Journal of Trace Elements and Minerals June 2023 4
Autor:
Mustapha, A. O.
Sewage treatment works (STWs) are routes through which treated wastewater effluents often containing myriads of chemicals are passed into receiving waters due to incomplete removal processes as have been identified in several studies. The current wor
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629280
Publikováno v:
In Soft Computing Letters August 2020 2
Autor:
Olajide-Kayode, Jerry O., Kolawole, Tesleem O., Oyaniran, Opeoluwa O., Mustapha, Shakirat O., Olatunji, Akinade S.
Publikováno v:
In Journal of Trace Elements and Minerals June 2024 8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Iliyasu, Zubairu, Nwaze, Eric, Verma, Harish, Mustapha, Asani O., Weldegebriel, Goitom, Gasasira, Alex, Wannemuehler, Kathleen A., Pallansch, Mark A., Gajida, Auwalu U., Pate, Muhammad, Sutter, Roland W.
Publikováno v:
In Vaccine 10 March 2014 32(12):1414-1420
Publikováno v:
FUOYE Journal of Engineering and Technology; Vol. 7 No. 3 (2022); 328-333
Advancement of technology has increased the value of the telecommunications industry. One of the services with the rapid growth is Voice over Internet Protocol (VoIP). However, echo is a common disturbing effect in VoIP calls. Instead of suppressing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7efd097fd8bcb1369f914516392b6d6d
https://doi.org/10.46792/fuoyejet.v7i3.897
https://doi.org/10.46792/fuoyejet.v7i3.897
Publikováno v:
Ife Journal of Science; 2023, Vol. 25 Issue 2, p319-330, 12p
Publikováno v:
International Journal of Software Engineering and Computer Systems, Vol 7, Iss 2 (2021)
Phishing attacks have been used in different ways to harvest the confidential information of unsuspecting internet users. To stem the tide of phishing-based attacks, several machine learning techniques have been proposed in the past. However, fewer s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5d2c512fcc67b6b458e772888fb1cc9
https://journal.ump.edu.my/ijsecs/article/view/6453
https://journal.ump.edu.my/ijsecs/article/view/6453
Autor:
Adewale, Omowumi O., Odebode, Monsurat O., Mustapha, Maryam O., Adetuyi, Oluwatosin A., Adeleke, Monsuru A.
Publikováno v:
Tanzania Journal of Science; 2022, Vol. 48 Issue 3, p559-568, 10p