Graph Neural Networks (GNNs) have emerged as an effective approach for blockchain fraud detection because they can model complex relationships among transactions and participating entities. However, existing GNN-based approaches remain limited by vulnerability to adversarial manipulation, limited explainability, contin...
O. Ojerinde, Ramatu Abubakar, Ajagun Abimbola Susan et al.· International Journal of Dat...· 0 citations
A hybrid deep learning framework for multi-speaker separation and speech enhancement by integrating Gated Convolutional Neural Networks (GCNNs) for speech source separation with Long Short-Term Memory (LSTM) networks for temporal speech enhancement is proposed.
O. Ojerinde, R. Mudasiru, Ramatu Abubakar et al.· Nature Journal of Emerging S...· 0 citations
Blockchain technology has revolutionized digital financial systems through decentralized, transparent, and secure transactions. However, the increasing sophistication of blockchain systems has coincided with the emergence of complex illicit activities, including ransomware transactions, Ponzi schemes, phishing, and mon...
O. Ojerinde, Ramatu Abubakar, B. Alenoghena et al.· Journal of Future Artificial...· 0 citations
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