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Nasir Saeed

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#federated learning Review Nov 2026

Privacy Leakage in Blockchain-Based Healthcare Systems: A Layered Taxonomy and Systematic Review

Blockchain technology has emerged as a compelling architecture for electronic health record (EHR) management, offering decentralization, immutability, and cryptographic auditability to address longstanding vulnerabilities in centralized healthcare data systems. Yet these same architectural properties introduce privacy...

Mohammed Alaa Ala'anzy, Aigerim Dumankyzy, Nasir Saeed · 0 citations
Review Aug 2026

A Comprehensive Survey of Wireless Foundation Models for AI-Native 6G Networks

This survey presents a comprehensive and unified review of wireless foundation models and establishes the fundamental concepts of WFMs and introduces a taxonomy that organizes the field according to model architectures, pre-training paradigms, and applications.

Naveed Khan, Besan Al Sbeihi, Maryam Alshehhi et al. · 0 citations
Review Open access 2026

Deep Space Communication Systems: Foundations, Networking Architectures, and a Roadmap Toward the Interplanetary Internet

A comprehensive and up-to-date survey of DSC systems, encompassing architectural foundations, enabling technologies, and emerging research challenges is presented, outlining emerging trends, including AI-native communication architectures that are expected to shape the design of scalable, autonomous, and interoperable...

Maryam Alshehhi, Doaa Mahmoud, Sara N. Ahmad et al. · 0 citations
Open access 2026

Scalable IRS Panel Selection for UAV-Assisted Uplink Networks

Simulation results demonstrate that the proposed MRC-GS-enabled UAV-IRS system reduces bit error rate (BER) and enhances spectral efficiency compared to benchmark single-IRS and full-combining schemes.

Nasir Saeed, Shumaila Javaid, Naveed Khan et al. · 0 citations
#edge computing Open access Aug 2026

SIGN-AIR: real-time sign language recognition and translation using gesture-aware neural networks on aerial robotic platforms

The technical feasibility of the proposed UAV-assisted recognition framework under the evaluated experimental conditions is demonstrated and its potential to support communication in scenarios where fixed-camera systems may be affected by occlusions, limited fields of view, or environmental variability is indicated.

Hafsa Waheed, Ghulam E. Mustafa Abro, S. Memon et al. · 0 citations

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