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pro vyhledávání: '"Yusuf Amir Okeyo"'
Autor:
Matara Caroline Mongina, Nyambane Simpson Osano, Yusuf Amir Okeyo, Ochungo Elisha Akech, Khattak Afaq
Publikováno v:
Logi, Vol 15, Iss 1, Pp 85-96 (2024)
This research employed machine learning approaches to classify acceptable or non-acceptable particulate matter (PM2.5) concentrations using a dataset that was obtained from the Nairobi expressway road corridor. The dataset contained air quality data,
Externí odkaz:
https://doaj.org/article/187d5d9592744243b405bd67ce54cc23
Publikováno v:
Engineering, Technology & Applied Science Research; Feb2024, Vol. 14 Issue 1, p12837-12843, 7p
Publikováno v:
INWASCON Technology Magazine. 4:34-38
In this study, water hyacinth powder was an adsorbent for the removal of Pb2+ from an aqueous solution in batch. The individual adsorption capacity of Pb2+ by oven dried water hyacinth powder was studied. The study showed that the adsorption of Pb2+