The convergence of Artificial Intelligence (AI), remote sensing, and the Internet of Things (IoT)
is fundamentally transforming conventional forestry practices into smart, data-driven forest
management systems. As global forest ecosystems face unprecedented threats from climate
change, deforestation, illegal logging, a...
M. Oladosu, M. Abah, Deborah Oluwadamilola Akintulubo et al.· International Journal of Agr...· 0 citations
Dynamic, continually updated, and heterogeneous data integration across multiple streams is becoming increasingly important to precision healthcare, where computational models of individual patients are growing more important. Two paradigms have come to the fore for building digital twins: digital twins and Personal kn...
C. O. Agboola, M. Oladosu, M. Abah et al.· International Journal of Pre...· 0 citations
An integrated, layered structure that connects local federated-learning nodes, an interoperable semantic data layer, and a regional digital-twin simulation layer is proposed, linked by privacy preserving mechanisms and Africa-specific data-governance safeguards.
C. O. Agboola, M. Oladosu, M. Abah et al.· International Journal of Pre...· 0 citations
This review aims to summarize the current status of the artificial intelligence (AI)-based multi-omics diagnostic workflows employed in three disease paradigms: infectious, neurodegenerative, and metabolic diseases, and critically evaluate their translational potential from the discovery of biomarkers to digital twin h...
Emmanuel Nkansah, M. Oladosu, M. Abah et al.· International Journal of Pre...· 0 citations
A review of the literature from 2020 to the present (2025) shows that architectural fragmentation has continued, that there is a lack of harmonised security-by-design standards, and that there is a lack of regulatory guidance on real-time MCPS deployments, and a research agenda for interoperability protocols, context-a...
Emmanuel Nkansah, M. Oladosu, M. Abah et al.· International Journal of Pre...· 0 citations
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