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Author

Abdulrashid Abdulrauf

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Open access Aug 2026

A Binary Firefly Optimized Stacking Ensemble Model for Customer Churn Prediction in the Telecommunications Industry

Experimental results demonstrate that the proposed framework achieved strong and balanced predictive performance and demonstrated improvements in several classification metrics compared with the previously developed BFA-based Hybrid TabNet-DNN model.

Abdulrashid Abdulrauf, M. M. Lawal, Oluwatoyin Omoloba et al. · 0 citations
Open access Jul 2026

A Lightweight Stacking Ensemble Intrusion Detection Framework for Software-Defined Networking Using the InSDN Dataset

These findings demonstrate that stacking ensemble learning is a practical and computationally efficient alternative to complex deep learning architectures for SDN intrusion detection, with strong potential for scalable and real-time cybersecurity deployment in modern network environments.

Ubakaghinwa Paul Chigbu, Abdulrashid Abdulrauf, Ishaq Isa et al. · 0 citations

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