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Applied Artificial Intelligence
An International Journal
Volume 36, 2022 - Issue 1
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Research Article

Machine learning based groundwater prediction in a data-scarce basin of Ghana

Ebenezer K. Siabia Earth Observation Research and Innovation Center (EORIC), University of Energy and Natural Resources, Sunyani, Ghana;b Department of Civil and Environmental Engineering, University of Energy and Natural Resources, Sunyani, GhanaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8563-6689View further author information
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Yihun Taddele Dilec Spatial Sciences Laboratory in the Department of Ecosystem Sciences and Management, Texas A&M University, Texas, TX, USAORCID Iconhttps://orcid.org/0000-0002-1080-3435View further author information
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Amos T. Kabo-Bahb Department of Civil and Environmental Engineering, University of Energy and Natural Resources, Sunyani, Ghana;d International relations office, University of Energy and Natural Resources, Sunyani, GhanaORCID Iconhttps://orcid.org/0000-0002-1361-4250View further author information
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Mark Amo-Boatenga Earth Observation Research and Innovation Center (EORIC), University of Energy and Natural Resources, Sunyani, GhanaORCID Iconhttps://orcid.org/0000-0002-8564-6307View further author information
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Geophery K. Anornue Department of Civil Engineering, College of Engineering, KNUST, Kumasi (RWESCK), GhanaORCID Iconhttps://orcid.org/0000-0003-3691-5635View further author information
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Komlavi Akpotif International Water Management Institute (IWMI), Accra, GhanaORCID Iconhttps://orcid.org/0000-0001-6435-5116View further author information
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Christopher Vuue Department of Civil Engineering, College of Engineering, KNUST, Kumasi (RWESCK), GhanaView further author information
,
Peter Donkorg Ghana Institute of Management and Public Administration, Accra, GhanaORCID Iconhttps://orcid.org/0000-0003-4625-1502View further author information
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Samuel K. Mensahg Ghana Institute of Management and Public Administration, Accra, GhanaORCID Iconhttps://orcid.org/0000-0002-8826-7441View further author information
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Awo B. M. Incoomh Department of Fisheries and Water Resources, University of Energy and Natural Resources, Sunyani, GhanaView further author information
,
Emmanuel K. Opokue Department of Civil Engineering, College of Engineering, KNUST, Kumasi (RWESCK), GhanaView further author information
&
Thomas Atta-Darkwai Department of Agricultural and Bioresources Engineering, University of Energy and Natural Resources, Sunyani, GhanaView further author information
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Article: 2138130 | Received 09 May 2022, Accepted 13 Oct 2022, Published online: 30 Oct 2022

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Rana Muhammad Adnan, Hong-Liang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Salim Heddam & Mohammad Zounemat-Kermani. (2023) Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data. Geocarto International 38:1.
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Articles from other publishers (1)

Mojtaba Zaresefat, Reza Derakhshani, Vahid Nikpeyman, Amin GhasemiNejad & Amir Raoof. (2023) Using Artificial Intelligence to Identify Suitable Artificial Groundwater Recharge Areas for the Iranshahr Basin. Water 15:6, pages 1182.
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