activity
20202026
most citedTasks Decomposition Approaches in Crowdsourcing Software Development

1 citations · 1 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CV2026

LiDAR for Crowd Management: Applications, Benefits, and Future Directions

Abdullah Khanfor, Chaima Zaghouani, Hakim Ghazzai +2

Light Detection and Ranging (LiDAR) technology offers significant advantages for effective crowd management. This article presents LiDAR technology and highlights its primary advan…

cs.CR2026

AI-driven Intrusion Detection for UAV in Smart Urban Ecosystems: A Comprehensive Survey

Abdullah Khanfor, Raby Hamadi, Noureddine Lasla +1

UAVs have the potential to revolutionize urban management and provide valuable services to citizens. They can be deployed across diverse applications, including traffic monitoring,…

cs.ET2024

Enhanced In-Flight Connectivity for Urban Air Mobility via LEO Satellite Networks

Karnika Biswas, Hakim Ghazzai, Abdullah Khanfor +1

Urban Air Mobility (UAM) is the envisioned future of inter-city aerial transportation. This paper presents a novel, in-flight connectivity link allocation method for UAM, which dyn…

cs.SE2023★ 1 cited

Tasks Decomposition Approaches in Crowdsourcing Software Development

Abdullah Khanfor

A main characteristic of crowdsourcing software development (CSD) is the complexity of tasks and skills required by workers to achieve successful software crowdsourcing. The tasks…

cs.DC2022

A Hybrid Artificial Neural Network for Task Offloading in Mobile Edge Computing

Raby Hamadi, Abdullah Khanfor, Hakim Ghazzai +1

Edge Computing (EC) is about remodeling the way data is handled, processed, and delivered within a vast heterogeneous network. One of the fundamental concepts of EC is to push the…

cs.SI2021

A Social IoT-driven Pedestrian Routing Approach during Epidemic Time

Abdullah Khanfor, Hamdi Friji, Hakim Ghazzai +1

The unprecedented worldwide spread of coronavirus disease has significantly sped up the development of technology-based solutions to prevent, combat, monitor, or predict pandemics…