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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.

Leveraging Artificial Intelligence for Efficient Waste Management in Smart Cities

2025SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/228748-ms Full text3 citations

Authors

5 authors across 5 institutions in 1 country.

F. M. KelechiFirst author
- Rivers State University (NG)
A. A. Aribisala
- Rivers State University (NG)
as printed: A. Aribisala
C. Ukoh
- Nnamdi Azikiwe University (NG)
W. M. Longinus
- Federal University of Technology Owerri (NG)
- Imo State University (NG)
M. EvwerhamreSenior author
- Federal University of Petroleum Resource Effurun (NG)

Fields

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

Municipal Solid Waste Managementlevel 3 · 0.98
Smart Cities and Technologieslevel 3 · 0.97
Smart Parking Systems Researchlevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2025 · SPE Nigeria Annual International Conference and Exhibition · 3 citations
https://openalex.org/W4413134513

Leveraging Artificial Intelligence for Efficient Waste Management in Smart Cities · Sankore