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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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Infrared-based machine learning models for the rapid quantification of lignocellulosic multi-feedstock composition

2023Bioresource Technology ReportsJournal

10.1016/j.biteb.2023.101747 Full text3 citations

Authors

5 authors across 5 institutions in 3 countries.

Sreejith Remanan PushpaFirst author
Adeolu A. Awoyale
- Petroleum Training Institute (NG)
- Federal University of Petroleum Resource Effurun (NG)
as printed: Adeolu Abiodun Awoyale
David Lokhat
- University of KwaZulu-Natal (ZA)
Rajeev K. Sukumaran
as printed: Rajeev Kumar Sukumaran
Sivaraman SavithriSenior authorCorresponding

Fields

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

Spectroscopy and Chemometric Analyseslevel 3 · 1.00
Biofuel production and bioconversionlevel 3 · 0.99
Fermentation and Sensory Analysislevel 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
2023 · Bioresource Technology Reports · 3 citations
https://openalex.org/W4390154950

Infrared-based machine learning models for the rapid quantification of lignocellulosic multi-feedstock composition · Sankore