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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Optimization of Artificial Neural Network Transfer Function for Hydrological Modelling: A Review

2023Journal of applied science and environmental managementJournalOpen access

10.4314/jasem.v27i8.2 Full text0 citations

Authors

7 authors across 3 institutions in 1 country.

Francis Nkemdirim OrjiFirst author
as printed: F. N. Orji
I. E. Ahanekwu
Macmanus Chinenye Ndukwu
as printed: M. C. Ndukwu
Elijah Ugwu
as printed: E. Ugwu
J. I. Awu
- Kwara State Polytechnic (NG)
- National Centre for Agricultural Mechanization (NG)
- Nnamdi Azikiwe University (NG)
I. U. Joseph
I. HelenSenior author

Fields

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

Hydrological Forecasting Using AIlevel 3 · 1.00
Hydrology and Watershed Management Studieslevel 3 · 0.99
Energy Load and Power Forecastinglevel 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
2023 · Journal of applied science and environmental management · 0 citations
https://openalex.org/W4388981420

Optimization of Artificial Neural Network Transfer Function for Hydrological Modelling: A Review · Sankore