Skip to content

Author

Ramatu Abubakar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Sep 2026

Adversarially Robust and Explainable Graph Neural Networks for Fraud Detection in Dynamic Blockchain Networks: A Problem-Based Systematic Literature Review

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. · 0 citations
Open access Aug 2026

Deep learning-based multi-speaker separation and speech enhancement for forensic audio analysis

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. · 0 citations
#graph neural networks Review Open access Sep 2026

Adversarially Robust and Explainable Graph Neural Networks for Fraud Detection in Dynamic Blockchain Networks: A Systematic Solution-Based Literature Review

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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.