Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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 and scalable multi-class machine learning weather forecasting model from multi-variables sensor data

2025Dutse Journal of Pure and Applied SciencesJournalOpen access

10.4314/dujopas.v11i3c.20 Full text0 citations

Authors

5 authors across 3 institutions in 2 countries.

Ohemu O. ZuleihatFirst author
- Nigerian Defence Academy (NG)
Monday F. Ohemu
- Nigerian Defence Academy (NG)
Haruna Ali
- Nigerian Defence Academy (NG)
Owolabi James Adeyemi
- National Open University of Nigeria (NG)
Grace EgentiSenior author
as printed: Grace Ebere Egenti

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.30
Air Quality Monitoring and Forecastinglevel 3 · 0.17
Precipitation Measurement and Analysislevel 3 · 0.09

Sources

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

openalexseen September 9, 2026
2025 · Dutse Journal of Pure and Applied Sciences · 0 citations
https://openalex.org/W4415814599

An efficient and scalable multi-class machine learning weather forecasting model from multi-variables sensor data · Sankore