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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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Predicting Earth-Vas2 parameters of coastal plain sand aquifers using artificial neural Network(s), in the Calabar region of Nigeria

2023Journal of African Earth SciencesJournal

10.1016/j.jafrearsci.2023.105127 Full text0 citations

Authors

7 authors across 5 institutions in 4 countries.

Emmanuel I. AkaerueFirst authorCorresponding
- University of Calabar (NG)
Obialo S. Onwuka
- University of Nigeria (NG)
Anthony M. George
- University of Calabar (NG)
Stephen E. Ekwok
- University of Calabar (NG)
Saad S. Alarifi
Peter Andráš
Ahmed M. EldosoukySenior authorCorresponding
- Suez University (EG)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 1.00
Geophysical and Geoelectrical Methodslevel 3 · 0.99
Groundwater and Watershed Analysislevel 3 · 0.99

Sources

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

openalexseen September 10, 2026
2023 · Journal of African Earth Sciences · 0 citations
https://openalex.org/W4388966715

Predicting Earth-Vas2 parameters of coastal plain sand aquifers using artificial neural Network(s), in the Calabar region of Nigeria · Sankore