Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohammad Abdullah Tahir"'
Autor:
Prosper Eguono Ovuoraye, Victor Ifeanyi Ugonabo, Endrit Fetahi, Ahmad Chowdhury, Mohammad Abdullah Tahir, Chinenye Adaobi Igwegbe, Mohammad Hadi Dehghani
Publikováno v:
Journal of Engineering and Applied Science, Vol 70, Iss 1, Pp 1-21 (2023)
Abstract In a recent development, attention has shifted to the application of artificial intelligence for the optimization of wastewater treatment processes. This research compared the performances of the machine learning (ML) model: random forest, d
Externí odkaz:
https://doaj.org/article/82b9486ac15e45ce8016ddfad91f4df7
Autor:
Prosper Eguono Ovuoraye, Victor Ifeanyi Ugonabo, Mohammad Abdullah Tahir, Philip Ayodele Balogun
Publikováno v:
Cleaner Chemical Engineering, Vol 4, Iss , Pp 100084- (2022)
Petroleum refinery effluent (PRE) containing a high concentration of colloidal particles causing turbidity is a point source pollutant. There is currently no baseline for the residual concentration of colloids in industrial effluent. In the present s
Externí odkaz:
https://doaj.org/article/508e3995472f4df185065bd5154a9c35
Autor:
Mohammad Abdullah Tahir, Zamam Farhat
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811981357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d64953eb02f564b92224703be95660f
https://doi.org/10.1007/978-981-19-8136-4_5
https://doi.org/10.1007/978-981-19-8136-4_5
Publikováno v:
Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation ISBN: 9783030648480
TDIT (1)
TDIT (1)
Nature-inspired algorithms are problem-solving tactics and methodologies and have been gaining much recognition for their competence. These algorithms have gained massive acclaim in the last few years to solve puzzling real-world (Nondeterministic po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e00eccd56bb62eb155c1d74588693b8a
https://doi.org/10.1007/978-3-030-64849-7_32
https://doi.org/10.1007/978-3-030-64849-7_32