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Open access Sep 2026

Petroleum-Driven Hydrogeochemical Alteration and Groundwater Contamination in an Offshore Niger Delta Depobelt: An Integrated Multivariate Statistical, Water Quality Index, and Geospatial Engineering Assessment

Background: Groundwater is the principal source of freshwater for many communities in the Niger Delta, where intensive petroleum exploration and production have raised increasing concerns regarding groundwater contamination. Although numerous hydrogeochemical investigations have been conducted within the region, most h...

Njoku Anthony Chinemerem, Izeze Elijah Ovie, C. Iheanacho et al. · 0 citations
Review Open access Sep 2026

AI-Enabled Digital Twins for Smart Grids: RealTime Monitoring, Predictive Control, Cybersecurity and Future Research Directions

Digital twin (DT) technology combined with artificial intelligence (AI) is becoming a key enabler for resilient and self-optimising electrical power networks that are increasingly digitalised. A digital twin is a continuously updated virtual representation of a physical grid asset or network that uses real-time sensor,...

Jennifer Ikeoluwa Ade-moomiyo, M. Oladosu, M. Abah et al. · 0 citations
Review Open access Sep 2026

Digital Twins and Personal Knowledge Graphs in Precision Healthcare: Integrating EHRs, Multi-Omics and Real-Time Patient Data

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. · 0 citations
Review Open access Sep 2026

Artificial Intelligence and the Future of Sustainable Economic Growth: Implications for Productivity, Employment, Innovation, Inequality, and Inclusive Development

Artificial intelligence (AI) is being touted as a catchall, ‘general-purpose technology' which can transform economic growth. AI, or ‘artificial intelligence ', is emerging as a ‘catch-all' or ‘general-purpose technology' with the capacity to drive economic growth. The effects on productivity, jobs, innovation, inequal...

Somto Emmanuel Ilomuanya, M. Oladosu, Taiwo Olayode Mustapha et al. · 0 citations
#graph neural networks Review Open access Sep 2026

AI-Driven Electrocatalyst Discovery: Integrating Machine Learning, Density Functional Theory, and High-Throughput Screening for Sustainable Energy Conversion

Efficient electrochemical processes are essential for a sustainable, low-carbon energy economy, involving hydrogen production, oxygen evolution/reduction, and carbon dioxide valorisation, all of which require high-performing electrocatalysts. Traditional catalyst development methods, which involve sequential trial-and-...

F. Onyiriuka, Obojobo Donatus Obukeajeta, M. Oladosu et al. · 0 citations
#federated learning Review Open access Sep 2026

Federated AI, Health Data Interoperability, and Digital Twins in Africa: A Framework for Privacy-Preserving Precision Healthcare in Resource-Limited Settings

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. · 0 citations
Review Open access Jul 2026

Artificial Intelligence-Driven Multi-Omics Diagnostic Pipelines for Infectious, Neurodegenerative, and Metabolic Diseases: From Biomarker Discovery to Precision Medicine and Digital Twin Healthcare

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. · 0 citations
Review Open access Jul 2026

Cyber-Physical Systems in Healthcare: Design, Interoperability and Security Challenges

Cyber-Physical Systems (CPS), a combination of embedded computing, communication networks, and physical processes, are increasingly reshaping clinical practice, pharmaceutical supply chains, and hospital infrastructure. This review covers key principles of Medical CPS design; major interoperability frameworks such as F...

Emmanuel Nkansah, M. Oladosu, M. Abah et al. · 0 citations

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