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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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ORCID — researcher identity
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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.

Midighe Usoh · Sankore

Akwa Ibom State University

Midighe Usoh

ORCID, self-asserted

ORCID 0000-0001-7522-0487

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it.

Publications

5

Citations

40

h-index

1

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

1

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Affiliations

Every institution this scholar has appeared with on a work, by how many.

Akwa Ibom State University4 works
University of Uyo1 works

Publications

5 works in the graph, newest first.

A HYBRID MACHINE LEARNING FRAMEWORK FOR MALWARE CLASSIFICATION AND THREAT MITIGATION IN SMART PORT INFRASTRUCTURES
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen access0 citations10.5281/zenodo.22097866
A HYBRID MACHINE LEARNING FRAMEWORK FOR MALWARE CLASSIFICATION AND THREAT MITIGATION IN SMART PORT INFRASTRUCTURES
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen access0 citations10.5281/zenodo.22097865
APPLICATION OF MACHINE LEARNING MODELS IN FORECASTING AGRICULTURAL PRODUCTIVITY IN NIGERIA
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessSenior author0 citations10.5281/zenodo.22113118
APPLICATION OF MACHINE LEARNING MODELS IN FORECASTING AGRICULTURAL PRODUCTIVITY IN NIGERIA
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessSenior author0 citations10.5281/zenodo.22113117

A hybrid machine learning model for detecting cybersecurity threats in IoT applications

2023International Journal of Information TechnologyJournalFirst authorCorresponding40 citations10.1007/s41870-023-01367-8