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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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Artificial Intelligence based Models to Support Water Quality Prediction using Machine Learning Approach

2023Publication

10.1109/iccpct58313.2023.10245020 Full text76 citations

Authors

6 authors across 5 institutions in 2 countries.

P. WilliamFirst author
O.J. Oyebode
- Afe Babalola University (NG)
as printed: Oluwadare Joshua Oyebode
Gandikota Ramu
Manish Gupta
Dibyhash Bordoloi
Anurag ShrivastavaSenior 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
Water Quality Monitoring and Analysislevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2023 · 76 citations
https://openalex.org/W4386920634

Artificial Intelligence based Models to Support Water Quality Prediction using Machine Learning Approach · Sankore