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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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Prediction of optimal mild steel weld parameters using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique

2024The International Journal of Advanced Manufacturing TechnologyJournal

10.1007/s00170-024-13079-9 Full text8 citations

Authors

5 authors across 3 institutions in 1 country.

Oladotun Oluyomi LofinmakinFirst author
- Federal University of Petroleum Resource Effurun (NG)
Samuel O. SadaCorresponding
- Delta State University (NG)
as printed: Samuel Oro-oghene Sada
Ikuobase Emovon
- Federal University of Petroleum Resource Effurun (NG)
Olusegun David Samuel
- Federal University of Petroleum Resource Effurun (NG)
Sunday Ayoola OkeSenior author
- University of Lagos (NG)

Fields

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

Welding Techniques and Residual Stresseslevel 3 · 1.00
Advanced Welding Techniques Analysislevel 3 · 1.00
Advanced machining processes and optimizationlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · The International Journal of Advanced Manufacturing Technology · 8 citations
https://openalex.org/W4391538472

Prediction of optimal mild steel weld parameters using the Adaptive Neuro-Fuzzy Inference System (ANFIS) technique · Sankore