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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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A systematic review of machine learning and signal processing techniques for water pipe leakage prediction

2026World Journal of Advanced Engineering Technology and SciencesJournalOpen access

10.30574/wjaets.2026.18.3.0168 Full text0 citations

Authors

6 authors across 3 institutions in 2 countries.

Blessing Edirin OghuvwuFirst author
- Federal Polytechnic Ede (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Peter Favour Gbigbidje
- Federal Polytechnic Ede (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Oghenevwogaga Precious Ogbodogbo
- Federal Polytechnic Ede (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Samuel Uyesievwa
- Federal Polytechnic Ede (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Kio Onisodumeya Onisobuana
- Federal Polytechnic Ede (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
Hosea John OmoboyeSenior author
- Federal Polytechnic Ede (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Water Systems and Optimizationlevel 3 · 0.99
Geotechnical Engineering and Underground Structureslevel 3 · 0.00
Water Treatment and Disinfectionlevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · World Journal of Advanced Engineering Technology and Sciences · 0 citations
https://openalex.org/W7144085938

A systematic review of machine learning and signal processing techniques for water pipe leakage prediction · Sankore