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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Prema Kirubakaran

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Open access Oct 2026

INTERPRETABLE ENSEMBLE FRAMEWORK FOR PCOS RISK PREDICTION WITH SHAP AND LIME-BASED EXPLAINABILITY

Polycystic Ovary Syndrome (PCOS) affects an estimated one in ten women of reproductive age and presents with a heterogeneous range of metabolic, endocrine, and reproductive symptoms, complicating consistent clinical diagnosis. Methodology: Two related PCOS datasets (2,000 and 541 samples) were cleaned and combined for...

Hauwa Ibrahim Aminu, Moussa Mahamat Boukar, Prema Kirubakaran et al. · 0 citations
Open access Sep 2026

Development of a Hybrid-Model Recommender System for an E-Learning Platform

E-learning systems continue to experience a growing number of courses and learning materials, making it increasingly difficult for learners to locate resources that are relevant to their interests, capabilities, and learning goals. This study developed and evaluated a lightweight hybrid recommender system for an e-lear...

Mohammed Alkali Shettima, Kolapo Ridwan, Anka Salihu et al. · 0 citations
Open access Aug 2026

Prediction of Geriatric Patients Readmission Using XGBoost

Hospital readmission among geriatric patients is a critical indicator of healthcare quality, imposing significant burdens on both patients and healthcare systems. This study proposes an Extreme Gradient Boosting (XGBoost)-based predictive framework for identifying 30-day hospital readmission risk in patients aged 65 ye...

Aisha Almustapha, Prema A. Kirubakaran, Ridwan Koladapo et al. · 0 citations
Review Open access Sep 2026

Machine Learning Techniques for Intrusion Detection Systems in 5G and Beyond Networks: A Systematic Literature Review

The paper concludes that no single model is universally best; rather, technique selection should depend on the type of attack, the quality of validation, the amount of latency, the scalability, privacy, and explainability, to determine the most appropriate approach.

Elijah Abayomi Olaniyi, T. Atoyebi, Ridwan Kolapo et al. · 0 citations
Review Open access Sep 2026

Machine Learning-Based Enterprise Security Information and Event Management Systems: A Systematic Literature Review

No one specific machine learning technique is appropriate for each SIEM task, and the success of an enterprise deployment is based on implementing the appropriate techniques depending on the security function, data quality, label availability, explanation requirements, and analyst workflow.

Joshua Ahuose Omoighe, T. Atoyebi, Ridwan Kolapo et al. · 0 citations
Review Open access Sep 2026

Deep Learning for Image Steganalysis: A Structured Comparative Review of Dataset, Domain, and Robustness Coverage

Closing structural gaps in deep learning steganalysis requires a unified architecture combining multi-source training, dual-domain coverage, and pixel-level adversarial testing, representing an essential open challenge for practical deployment.

Asma'u Shehu, Prema A. Kirubakaran, Bilkisu L. Muhammad-Bello et al. · 0 citations

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