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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.

An Efficient Automated System for E-Waste Identification and Classification Using Yolov8

2025NIPES Journal of Science and Technology ResearchJournalOpen access

10.37933/nipes/7.4.2025.si203 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Ogbonnia Ogudu EmmanuelFirst author
- Landmark University (NG)
as printed: Ogbonnia O. Emmanuel
Mitong Z. Dorcas
- Federal University of Technology Minna (NG)
Ayodele A. Adebiyi
- Landmark University (NG)
Marion Olubunmi AdebiyiSenior author
- Landmark University (NG)
as printed: Marion O. Adebiyi

Fields

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

Recycling and Waste Management Techniqueslevel 3 · 0.43
Municipal Solid Waste Managementlevel 3 · 0.10
Advanced Neural Network Applicationslevel 3 · 0.10

Sources

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

openalexseen September 9, 2026
2025 · NIPES Journal of Science and Technology Research · 0 citations
https://openalex.org/W7125611865

An Efficient Automated System for E-Waste Identification and Classification Using Yolov8 · Sankore