most citedDeep Multimodal Learning for Real-Time DDoS Attacks Detection in Internet of Vehicles

1 citations · 1 across the 3 of their papers we have counts for

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3 papers

eess.SP2025★ 1 cited

Deep Multimodal Learning for Real-Time DDoS Attacks Detection in Internet of Vehicles

Mohamed Ababsa, Soheyb Ribouh, Abdelhamid Malki +1

The progress and integration of intelligent transport systems (ITS) have therefore been central to creating safer and more efficient transport networks. The Internet of Vehicles (I…

eess.SP2025

Deep Multi-modal Neural Receiver for 6G Vehicular Communication

Osama Saleem, Mohammed Alfaqawi, Pierre Merdrignac +2

Deep Learning (DL) based neural receiver models are used to jointly optimize PHY of baseline receiver for cellular vehicle to everything (C-V2X) system in next generation (6G) comm…

eess.SP2025

Large Language Model-Based Semantic Communication System for Image Transmission

Soheyb Ribouh, Osama Saleem

The remarkable success of Large Language Models (LLMs) in understanding and generating various data types, such as images and text, has demonstrated their ability to process and ex…