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Abdulaziz A. Alsulami

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Open access Sep 2026

Evaluating an Artificial Immune System-Evolved Decision-Tree Ensemble for Chest X-Ray Classification

Timely and accurate classification of lung diseases from chest X-ray images remains an important healthcare challenge. Machine-learning and deep-learning methods can support automated classification, but their evaluation may be affected by class imbalance, feature redundancy, dataset leakage, and computational cost. Th...

Abdulaziz A. Alsulami, Q. A. Al-Haija, Ahmad J. Tayeb et al. · 0 citations
Open access Sep 2026

Gated News-Event Fusion: Mathematical Properties and Prospective Evaluation for Stock Direction Forecasting

Gated News-Event Fusion (GNEF), an availability-aware model mapping price sequences, engineered market features, and news features to direction probabilities and a nonnegative return-magnitude estimate, is developed, providing selective support for residual fusion but do not establish a consistent advantage across equi...

Fras Aljrise, Abdulaziz A. Alsulami, F. Alallah et al. · 0 citations
Open access 2026

A Family-Aware Hierarchical XGBoost Framework for Efficient IoT Intrusion Detection

A family-aware hierarchical intrusion detection framework for attack-family prediction that first separates normal and attack traffic, then routes attack samples into empirically defined majority and minority attack-family branches, and finally performs branch-specific family classification.

Motab F. Alenezi, F. Alotaibi, B. Alturki et al. · 0 citations
Open access 2026

An Adaptive Federated Learning with XGBoost Ensembles for Intrusion Detection in Heterogeneous IoT Networks

An Adaptive Action-Based Federated Learning (AA-FL) framework for decentralized intrusion detection in heterogeneous IoT environments is proposed, based on XGBoost boosters and uses quality-weighted server-side ensemble aggregation.

Abdulaziz A. Alsulami, Q. A. Al-Haija, Rayed A. Alakhtar et al. · 0 citations

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