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Author

Agubosim Chuka Charles

2 papers indexed here

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Open access 2026

Hybrid Framework of Graph Neural Networks, Federated Learning and Explainable Artificial Intelligence for Real-Time Fraud Detection and Anti-Money Laundering

The increased sophistication of fraudulent schemes and money laundering techniques is placing significant pressure on conventional fraud detection systems and models. This study presents a hybrid framework that integrates Graph Neural Networks, Federated Learning and Explainable Artificial Intelligence for real-time fr...

Omorogie Michael, O. M. Nwakeze, Agubosim Chuka Charles et al. · 0 citations
#federated learning Open access Sep 2026

Privacy-preserving federated learning with MobileViT for chest X-ray classification in Nigerian hospitals

Nigeria faces challenges in the accurate diagnosis of respiratory diseases such as tuberculosis (TB), pneumonia, and COVID-19 because of limited radiology resources and stringent patient-privacy requirements. Deep learning models can provide strong diagnostic performance but often rely on centralised data, raising ethi...

Oboti Nwamaka Peace, O. M. Nwakeze, Sunday Stephen Okika et al. · 0 citations

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