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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Hybrid Empirical and Machine Learning Approach to Efficient Path Loss Predictive Modelling: An Overview

2023International Journal of Advanced Networking and ApplicationsJournalOpen access

10.35444/ijana.2023.15302 Full text2 citations

Authors

4 authors across 2 institutions in 1 country.

Odesanya ItuabhorFirst author
- Federal University Lokoja (NG)
- Delta State University (NG)
as printed: Ituabhor Odesanya
Joseph Isabona
- Federal University Lokoja (NG)
- Delta State University (NG)
Emughedi Oghu
- Federal University Lokoja (NG)
- Delta State University (NG)
Okiemute Roberts OmasheyeSenior author
- Federal University Lokoja (NG)
- Delta State University (NG)

Fields

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

Infrastructure Maintenance and Monitoringlevel 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 · International Journal of Advanced Networking and Applications · 2 citations
https://openalex.org/W4388417822

Hybrid Empirical and Machine Learning Approach to Efficient Path Loss Predictive Modelling: An Overview · Sankore