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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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Investigating the Accuracy of Artificial Neural Network Models in Predicting Surface Roughness in Drilling Processes · Sankore

Investigating the Accuracy of Artificial Neural Network Models in Predicting Surface Roughness in Drilling Processes

2024Procedia Computer SciencePublicationOpen access

10.1016/j.procs.2024.02.020 Full text10 citations

Authors

10 authors across 5 institutions in 4 countries.

Modestus OkwuFirst author
- Federal University of Petroleum Resource Effurun (NG)
as printed: M.O. Okwu
O.B. Otanocha
- Federal University of Petroleum Resource Effurun (NG)
B.A. Edward
- Federal University of Petroleum Resource Effurun (NG)
Benjamin U. Oreko
- Federal University of Petroleum Resource Effurun (NG)
as printed: B.U. Oreko
Joseph Oyekale
- Federal University of Petroleum Resource Effurun (NG)
as printed: J. Oyekale
Oluwayomi J. Oyejide
- Federal University of Petroleum Resource Effurun (NG)
as printed: O.J. Oyejide
Joseph Osuji
- Federal University of Petroleum Resource Effurun (NG)
as printed: J. Osuji
C. Maware
K.C. Ezekiel
as printed: K. Ezekiel
Ochuko Felix OrikpeteSenior author
- University of Port Harcourt (NG)
as printed: O.F. Orikpete

Fields

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

Drilling and Well Engineeringlevel 3 · 1.00
Engineering Diagnostics and Reliabilitylevel 3 · 0.99
Advanced machining processes and optimizationlevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · Procedia Computer Science · 10 citations
https://openalex.org/W4392974615