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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.

Appraising machine learning algorithms in predicting noise level and emissions from gasoline-powered household backup generators

2024International Journal of Environmental Science and TechnologyJournalOpen access

10.1007/s13762-024-05987-w Full text0 citations

Authors

7 authors across 5 institutions in 4 countries.

Solomon O. GiwaFirst author
as printed: S. O. Giwa
C. Nwaokocha
- Olabisi Onabanjo University (NG)
as printed: C. N. Nwaokocha
O. M. Osifeko
- Olabisi Onabanjo University (NG)
B. O. Orogbade
- Olabisi Onabanjo University (NG)
Raymond Taziwa
as printed: R. T. Taziwa
N. Dyantyi
Mohsen SharifpurSenior authorCorresponding
- University of the Witwatersrand (ZA)
as printed: M. Sharifpur

Fields

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

Energy, Environment, and Transportation Policieslevel 3 · 0.99
Advanced Combustion Engine Technologieslevel 3 · 0.99
Vehicle emissions and performancelevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2024 · International Journal of Environmental Science and Technology · 0 citations
https://openalex.org/W4402481334

Appraising machine learning algorithms in predicting noise level and emissions from gasoline-powered household backup generators · Sankore