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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.

CONVOLUTIONAL NEURAL NETWORK DEEP LEARNING AND DIGITAL TWIN TECHNOLOGY FOR INTRUSION DETECTION, REAL-TIME ANALYTICS AND DIGITAL TRANSFORMATION OF THE OIL & GAS INDUSTRY: A REVIEW OF LITERATURE

2026FUDMA Journal of SciencesJournalOpen access

10.33003/fjs-2026-1007-5024 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Tose OziegbeFirst author
- Delta State University (NG)
as printed: Tose E. Oziegbe
Arnold Adimabua Ojugo
- Delta State University (NG)
as printed: Prof Arnold Adimabua Ojugo
Abel Efetobor Edje
- Federal College of Education, Kano (NG)
Asemewalen N. OsezeleSenior author
- Federal College of Education, Kano (NG)

Fields

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

Drilling and Well Engineeringlevel 3 · 0.69
Reservoir Engineering and Simulation Methodslevel 3 · 0.12
Oil and Gas Production Techniqueslevel 3 · 0.07

Sources

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

openalexseen September 9, 2026
2026 · FUDMA Journal of Sciences · 0 citations
https://openalex.org/W7163889208

CONVOLUTIONAL NEURAL NETWORK DEEP LEARNING AND DIGITAL TWIN TECHNOLOGY FOR INTRUSION DETECTION, REAL-TIME ANALYTICS AND DIGITAL TRANSFORMATION OF THE OIL & GAS INDUSTRY: A REVIEW OF LITERATURE · Sankore