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A hybrid AI model integrating LSTM, XGBoost, and K-means for interpretable prediction and clustering of water quality in data-scarce regions

Published Online: 2026-01-28

Authors

Chukwuemeka, Prince https://orcid.org/0009-0005-1850-9870
Imoni, Okes https://orcid.org/0009-0007-3548-2889
Mogo, Felicia Chinwe

Eteh, Desmond R. https://orcid.org/0000-0003-0660-6743
William, Tarinabo https://orcid.org/0009-0005-7082-2485
Bamiekumo, Becky P. https://orcid.org/0009-0002-9941-4758
Omonefe, Francis

Agbozu, Nelvin E.

Mene-Ejegi, Omabuwa O.

Ihekona, Obinna

Akajiaku, Charles U.

Ben-Koko, Mayen
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Text and Data Mining valid from 2026-01-28

Version of Record valid from 2026-01-28
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Article History

Received: 24 July 2025

Accepted: 22 January 2026

First Online: 28 January 2026

Declarations

:

: Not applicable.

: All authors consent to the publication of this manuscript.

: The authors declare no competing interests.

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