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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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Optimizing Path Loss Prediction for Air-Ground Communication Systems Using Hybrid Machine Learning Models: A Case Study of Linear Regression and PSO-Optimized Gradient Boosting Regressor

2025Saudi Journal of Engineering and TechnologyJournalOpen access

10.36348/sjet.2025.v10i06.005 Full text2 citations

Authors

6 authors across 4 institutions in 3 countries.

Abdulaziz MaiwadaFirst author
- University of Port Harcourt (NG)
Abdulaziz MaiwadaFirst author
- University of Port Harcourt (NG)
Abdulaziz MaiwadaFirst author
- University of Port Harcourt (NG)
Emmanuel Adetiba
as printed: E Adetiba
Ali Ashraf Salah
- Regional Centre for Training in Aerospace Surveys (NG)
- University of Port Harcourt (NG)
as printed: A.W Ahmed
B.O OmijehSenior author
- University of Port Harcourt (NG)

Fields

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

Millimeter-Wave Propagation and Modelinglevel 3 · 0.99
Telecommunications and Broadcasting Technologieslevel 3 · 0.98
Power Line Communications and Noiselevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2025 · Saudi Journal of Engineering and Technology · 2 citations
https://openalex.org/W4411666771

Optimizing Path Loss Prediction for Air-Ground Communication Systems Using Hybrid Machine Learning Models: A Case Study of Linear Regression and PSO-Optimized Gradient Boosting Regressor · Sankore