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Author

Muhammad Bilal

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2027

A Novel Efficient Particle Swarm Optimization Algorithm for UAV Applications in Bushfire Hazard Management

Owing to the drastic environmental change and frequently occurring disasters like bushfires in Australia and New South Wales (NSW) in particular, this research study aims to develop an unmanned aerial vehicles (UAVs) assisted bushfire detection and prevention system. A rule-based verification framework is developed t...

Zakria Qadir, M. H. Zafar, Muhammad Bilal et al. · 0 citations

CODEA: Online Container Deployment and Edge Association for Multi-Edge Federated Synergy Learning

Federated edge learning (FEEL) is a prospective paradigm enabling edge devices to collaboratively participate in machine learning model training, unlocking countless opportunities for edge intelligence. As an extension of FEEL, federated synergy learning (FSyL) alleviates the computation and communication burdens on re...

Shu-Cun Fu, Fang Dong, Xiao-Long Xu et al. · 1 citation
#edge computing Open access Sep 2026

Augmenting Smart City Management through the Integration of Digital Twins with Fog Computing

This paper examines the transition from centralized cloud computing to Fog Computing as a foundational enabler for real-time Digital Twin City systems in urban environments and proposes a three-layer edge-fog-cloud hierarchy that enables a continuous virtual synchronization with physical urban environments and supports...

Zainab Awami, Muhammad Bilal · 0 citations

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