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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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Enhanced streamflow forecasting using attention-based neural network models: a comparative study in MOPEX basins

2024Modeling Earth Systems and EnvironmentJournal

10.1007/s40808-024-02088-y Full text15 citations

Authors

12 authors across 6 institutions in 3 countries.

Abdullahi Uwaisu MuhammadFirst authorCorresponding
- Federal University Dutse (NG)
Tasiu Muazu
Haihua Ying
Abdoul Fatakhou Ba
Sani Tijjani
- Kano State Polytechnic (NG)
Jibril Muhammad Adam
- Federal University Dutse (NG)
Aliyu Bello
- Federal University Dutse (NG)
as printed: Aliyu Uthman Bello
Muhammad Muhammad Bala
- Kano State University of Technology (NG)
Mosaad Ali Hussein Ali
- Assiut University (EG)
- Federal University Dutse (NG)
Umar Sani Dabai
- Federal University Dutse (NG)
Umar Muhammad Mustapha Kumshe
as printed: Umar Muhammad Mustapha Kumshe
Muhammad Sabo YahayaSenior author
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 1.00
Energy Load and Power Forecastinglevel 3 · 0.99
Reservoir Engineering and Simulation Methodslevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · Modeling Earth Systems and Environment · 15 citations
https://openalex.org/W4400625488

Enhanced streamflow forecasting using attention-based neural network models: a comparative study in MOPEX basins · Sankore