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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 from renewables to green hydrogen production optimization: A PM-CFL-OPT framework addressing uncertainty, safety constraints, and interpretability

2026Chemical Engineering Journal AdvancesJournalOpen access

10.1016/j.ceja.2026.101292 Full text0 citations

Authors

5 authors across 3 institutions in 3 countries.

Eyime Echeng EyimeFirst author
- University of Calabar (NG)
Samuel Chukwujindu NwokoloCorresponding
- University of Fort Hare (ZA)
Fadhil Khadoum Alhousni
Edson L. Meyer
- University of Fort Hare (ZA)
Chinedu Christian AhiaSenior author
- University of Fort Hare (ZA)

Fields

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

Hybrid Renewable Energy Systemslevel 3 · 0.68
Integrated Energy Systems Optimizationlevel 3 · 0.06
Process Optimization and Integrationlevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Chemical Engineering Journal Advances · 0 citations
https://openalex.org/W7163556798

Machine learning from renewables to green hydrogen production optimization: A PM-CFL-OPT framework addressing uncertainty, safety constraints, and interpretability · Sankore