Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Muhammad Bilal

h-index 7 View on Semantic Scholar

We have 4 of 22 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#edge computing Open access Nov 2026

Game-Driven Adaptive Workload Distribution for Consumer Vehicular Mobile Edge Computing [Theme Article: Collaborative Intelligence for Consumer IoT Devices: From Edge Swarms to Cloud Synergy]

The rapid evolution of intelligent transportation systems (ITSs) and connected vehicles is driving increasing demand for reliable computing support for consumer-oriented vehicular applications. Although mobile edge computing (MEC) enables vehicles to distribute workload to nearby infrastructure, dynamic traffic conditi...

Jieming Zhou, Xiao-Long Xu, Muhammad Bilal et al. · 0 citations
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
#federated learning Oct 2026

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

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.