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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.

MACHINE LEARNING-BASED FORECASTING OF BIOACCUMULATION AND HISTOPATHOLOGICAL EFFECTS IN AQUATIC ORGANISMS

2024FUDMA Journal of SciencesJournalOpen access

10.33003/fjs-2024-0806-3002 Full text1 citations

Authors

4 authors across 4 institutions in 1 country.

Clement ObadimuFirst author
- University of Uyo (NG)
as printed: Clement O. Obadimu
Solomon E. Shaibu
- University of Uyo (NG)
Ifiok O. Ekwere
- Akwa Ibom State University (NG)
Ruth O. A. AdelagunSenior author
- Federal University Wukari (NG)
- Federal University Lafia (NG)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.91

Sources

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

openalexseen September 9, 2026
2024 · FUDMA Journal of Sciences · 1 citations
https://openalex.org/W4406815831

MACHINE LEARNING-BASED FORECASTING OF BIOACCUMULATION AND HISTOPATHOLOGICAL EFFECTS IN AQUATIC ORGANISMS · Sankore