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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Application of Machine Learning for Flood Prediction and Evaluation in Southern Nigeria

2024Atmospheric and Climate SciencesJournalOpen access

10.4236/acs.2024.143019 Full text7 citations

Authors

12 authors across 3 institutions in 2 countries.

Emeka Bright OgbueneFirst authorCorresponding
- University of Nigeria (NG)
Chukwumeuche Ambrose Eze
- University of Nigeria (NG)
O. G. Aloh
- Enugu State University of Science and Technology (NG)
as printed: Obianuju Getrude Aloh
A. M. Oroke
as printed: Andrew Monday Oroke
Damian Onuora Udegbunam
- University of Nigeria (NG)
Josiah Ogbuka
- University of Nigeria (NG)
as printed: Josiah Chukwuemeka Ogbuka
F. E. Achoru
- University of Nigeria (NG)
as printed: Fred Emeka Achoru
Vivian Amarachi Ozorme
- University of Nigeria (NG)
Obianuju Anwara
- University of Nigeria (NG)
Ikechukwu Chukwunonyelum
- University of Nigeria (NG)
Anthonia Nneka Nebo
- University of Nigeria (NG)
Obiageli Jacinta OkoloSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Flood Risk Assessment and Managementlevel 3 · 1.00
Hydrological Forecasting Using AIlevel 3 · 0.99
Computational Physics and Python Applicationslevel 3 · 0.96

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2024 · Atmospheric and Climate Sciences · 7 citations
https://openalex.org/W4400298748

Application of Machine Learning for Flood Prediction and Evaluation in Southern Nigeria · Sankore