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2025IEEE Security & Privacy

Quantum-Resistant Cryptography: Migration Strategies for Enterprise Systems

A practical migration framework transitioning legacy RSA/ECC infrastructure to post-quantum cryptographic standards with zero-downtime cutover strategies.

Khalid Mansour, Reem Abdullah

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2025Artificial Intelligence in Medicine

Explainable AI for Clinical Decision Support Systems

Introduces an interpretable deep learning framework for clinical decision support that provides human-readable explanations, improving physician trust and adoption rates.

Hassan Tariq, Mariam Yusuf

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2024IEEE Transactions on Software Engineering

A Systematic Review of AI-Driven Software Testing Methodologies

A comprehensive systematic review analyzing 150+ studies on AI applications in software testing, identifying key trends, challenges, and opportunities for future research.

Mohammed Khalil, Sara Nouri

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2024ACM Transactions on Sensor Networks

Real-Time Anomaly Detection in IoT Streams Using Graph Neural Networks

Proposes a graph neural network architecture for detecting anomalies in IoT data streams with sub-second latency, validated on real-world smart city deployments.

Omar Al-Zahra, Layla Karim

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2023Journal of Systems and Software

Optimizing Distributed System Performance Through Adaptive Resource Orchestration

This paper presents a novel approach to dynamic resource allocation in cloud environments, demonstrating significant performance improvements through machine learning-driven orchestration strategies.

Ahmed Al-Rashid, Fatima Hassan

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2023Journal of Biomedical Informatics

Federated Learning for Privacy-Preserving Healthcare Analytics

Demonstrates a federated learning framework enabling collaborative model training across hospitals without sharing patient data, achieving 94% diagnostic accuracy.

Yusuf Ibrahim, Nora Saleh

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