Modeling the Turbidity Level of Asejire Reservoir Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Modeling the Turbidity Level of Asejire Reservoir Using Machine Learning Techniques

Published:2024-04-02 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Adegoke Taiwo Mobolaji¹,Muyiwa Oladoja Oladapo¹,Mustapha Aliyu Abba²,Omeiza Bashiru Sule³,Aderupatan Dimeji Ebenezer²,Elizabeth Abiodun Oluwakemi¹

Affiliation:

1. First Technical University,Department of Mathematics and Statistics,Ibadan,Nigeria

2. University of Maiduguri,Department of Mathematical Sciences,Maiduguri,Nigeria

3. Confluence University of Science and Technology,Department of Mathematics and Statistics,Osara, Kogi,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10630275.pdf?arnumber=10630275

Reference31 articles.

1. Analyses of the stomach contents of the piscivorous fishes of the Upper Ogun River in Nigeria

2. Impact evaluation of urbanization on River Ona in Eleyele catchment, Ibadan, Nigeria;Awomeso;Global Journal of Human Social Science,2012

3. Condition factor of four cichlid species of a man-made lake in Imo state, South Eastern Nigeria;Anene;Turkish Journal of Aquatic Science,2005

4. Studies on water quality and zooplankton community of the Panchganga River in Kolhapur city;Mulani;Journal of Environmental Biology,2009

5. Comparative studies of some river waters in Port Harcourt based on their physicochemical and microbiological analysis, Niger Delta Region of Nigeria;Olorode;International Journal of Basic and Applied Sciences,2015

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