activity
20242026
collaborators

5 papers

cs.CV2026

Text-conditioned Segmentation for Tomato Phenotyping via Procedural Synthetic Data

Samy Mounir, Mikolaj Cieslak, Najmeddine Dhieb +8

Vision-based automation is an excellent candidate for reducing manual labor in greenhouse crop production and phenotyping. However, progress is constrained by the lack of annotated…

cs.RO2026

LiDAR for Rehabilitation: A Comprehensive Survey of Applications, AI Techniques, and Future Directions

Soumia Siyoucef, Najmeddine Dhieb, Hakim Ghazzai +3

Rehabilitation aims to help patients with limited mobility regain their physical abilities through targeted movements, exercises, stimulation, and other therapeutic methods. Recent…

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.ET2025

Graph Neural Networks for Vehicular Social Networks: Trends, Challenges, and Opportunities

Elham Binshaflout, Aymen Hamrouni, Hakim Ghazzai

Graph Neural Networks (GNNs) have emerged as powerful tools for modeling complex, interconnected data, making them particularly well suited for a wide range of Intelligent Transpor…

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…