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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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A comparative analysis of ten machine learning models for performance prediction in a numerically simulated photonic crystal fibre-based surface plasmon resonance sensor

2026Journal of Electromagnetic Waves and ApplicationsJournal

10.1080/09205071.2026.2656347 Full text1 citations

Authors

8 authors across 5 institutions in 4 countries.

Gideon OpokuFirst authorCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
Kwaku Opoku-Ware
Iddrisu Danlard
- Sunyani Technical University (GH)
Emmanuel Kofi Akowuah
- Kwame Nkrumah University of Science and Technology (GH)
John Napari N-yorbe
- Kwame Nkrumah University of Science and Technology (GH)
as printed: John Napari N-Yorbe
Juanita Ahia Quarcoo
- Sunyani Technical University (GH)
Penelope Adoma Sabbi
- Kwame Nkrumah University of Science and Technology (GH)
Shyqyri HaxhaSenior author

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

Advanced Fiber Optic Sensorslevel 3 · 0.77
Photonic Crystal and Fiber Opticslevel 3 · 0.03
Photonic Crystals and Applicationslevel 3 · 0.02

Sources

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

openalexseen September 5, 2026
2026 · Journal of Electromagnetic Waves and Applications · 1 citations
https://openalex.org/W7154498515

A comparative analysis of ten machine learning models for performance prediction in a numerically simulated photonic crystal fibre-based surface plasmon resonance sensor · Sankore