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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 Energy-Efficient IoT-Fog-Cloud Framework for Real-Time Cardiovascular Disease Prediction

2025NIPES Journal of Science and Technology ResearchJournalOpen access

10.37933/nipes/7.4.2025.si433 Full text0 citations

Authors

6 authors across 2 institutions in 1 country.

Hafsat Suleiman JaloFirst author
- Gombe State University (NG)
Isredza Rahmi Binti A. Hamid
Imhade Princess Okokpujie
Yahaya Lamido
- Gombe State University (NG)
Adebayo T. Ogundipe
- Afe Babalola University (NG)
as printed: Adebayo Tunbosun Ogundipe
Boluwaji Gbenga JaiyesimiSenior author
as printed: Boluwaji G. Jaiyesimi

Fields

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

Artificial Intelligence in Healthcarelevel 3 · 0.63
IoT and Edge/Fog Computinglevel 3 · 0.12
Advanced Technologies in Various Fieldslevel 3 · 0.05

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/W7125581517

An Energy-Efficient IoT-Fog-Cloud Framework for Real-Time Cardiovascular Disease Prediction · Sankore