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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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An autoencoder-based stacked LSTM transfer learning model for EC forecasting

2023Earth Science InformaticsJournal

10.1007/s12145-023-01096-3 Full text11 citations

Authors

12 authors across 6 institutions in 3 countries.

Abdullahi Uwaisu MuhammadFirst authorCorresponding
- Federal University Dutse (NG)
Hamza Djigal
Tasiu Muazu
Jibril Muhammad Adam
- Federal University Dutse (NG)
Abdoul Fatakhou Ba
Umar Sani Dabai
- Federal University Dutse (NG)
Sani Tijjani
- Kano State Polytechnic (NG)
Muhammad Sabo Yahaya
- The Federal Polytechnic, Ado-Ekiti (NG)
Aliyu Ashiru
Umar Muhammad Mustapha Kumshe
Saddam Aliyu
Faruwa Ajibola RichardSenior author

Fields

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

Hydrological Forecasting Using AIlevel 3 · 1.00
Water Quality Monitoring Technologieslevel 3 · 0.99
Neural Networks and Applicationslevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2023 · Earth Science Informatics · 11 citations
https://openalex.org/W4386542626

An autoencoder-based stacked LSTM transfer learning model for EC forecasting · Sankore