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J. Alhassan

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Open access Sep 2026

A Hybrid Consensus-Based Feature Selection Framework for Robust Housing Price Prediction

Accurate predictions are essential for investment planning and risk assessment in real estate markets. Machine learning techniques have increasingly been adopted to improve the accuracy of housing price prediction. However, numerous studies have reported the absence of comprehensive predictor sets, ineffective feature...

Josiah Afang Kalat, J. Alhassan, O. Ojerinde · 0 citations
#federated learning Open access Aug 2026

Artificial Intelligence AI-Driven Digital Forensics in Cybercrime Investigations: Addressing Data Privacy and Ethical Considerations

Comparative benchmarking proves that ADEFIF surpasses all current frameworks such as Traditional Digital Forensics, Multidimensional AI Forensic Analysis Framework (MAFAF), and Privacy-by-Design AI Forensic Model (PbDAIF), in all the assessment dimensions.

Mohammed Jibril, J. Alhassan, Adamu Muhammad Noma · 0 citations

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