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Author

Sagheer Abbas

2 papers indexed here

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Open access Sep 2026

An Explainable and Computationally Efficient Machine Learning Framework for Breast Cancer Diagnosis Using Predictive and Interpretability Analysis

Accurate breast cancer diagnosis is important for supporting early detection and improving clinical decision-making.. This study examines the theoretical and interpretative principles that support the machine learning algorithms applied to the Wisconsin Breast Cancer dataset and evaluates their ability to differentiate...

A. ur Rehman, Mohamed A. Akela, T. Alyas et al. · 0 citations
Open access Sep 2026

Towards Trustworthy Software-Defined Network Security: An Explainable and Computationally Efficient Machine Learning Framework for Intrusion Detection

Software-defined networking (SDN) offers flexibility and scalability but also introduces new cybersecurity challenges. We propose a scalable and transparent intrusion detection system (IDS) for SDNs using machine learning models that balance accuracy and computational efficiency. Our results show that the decision tree...

Suhail Ashfaq Butt, Shakir M. Usman, M. Raza et al. · 0 citations

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