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MADINI Zhour

Email : zhour.madini@uit.ac.ma

Établissement : Ecole Nationale des Sciences Appliquées

Laboratoire : Ingénierie des Systèmes Avancés

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📚 Publications Scopus — Total : 34
Titre Année 🔗 Voir
All-Weather Automotive Perception: Monte Carlo Simulation of FMCW LiDAR-Radar Sensor Fusion in Foggy Conditions 2025 🔗 Voir
Visible light communication technologies: A tutorial and survey from fundamentals to cutting-edge innovations 2025 🔗 Voir
Performance Trade-Offs Between Wavelengths in Fog for FMCW LiDAR Systems: A Monte Carlo-Based Study 2025 🔗 Voir
Performance Analysis of a Hybrid Complex-Valued CNN-TCN Model for Automatic Modulation Recognition in Wireless Communication Systems 2025 🔗 Voir
Improved automatic modulation recognition using deep learning with additive attention 2025 🔗 Voir
Performance analysis of a multi-user outdoor visible light communication system using wavelength division multiplexing (WDM) with RZ-OOK and NRZ-OOK modulations for V2X communications 2025 🔗 Voir
Deep Learning-assisted Automatic Modulation Classification using Spectrograms 2025 🔗 Voir
Monte Carlo-Based Analysis Survey of TOF and FMCW LiDAR Systems for Enhanced Performance in Foggy Conditions 2025 🔗 Voir
A Survey of Handover Approaches in Visible Light-Based V2X Communications 2025 🔗 Voir
A Survey of Spectrum Allocation in Cognitive Radio Using Artificial Intelligence 2025 🔗 Voir
A Review on AI-Driven Dynamic Spectrum Access for Next-Generation Wireless Networks 2025 🔗 Voir
RADIO FREQUENCY INTERFERENCE DETECTION AND AUTOMATIC MODULATION RECOGNITION BASED ON MASK RCNN 2024 🔗 Voir
A review of deep learning techniques for enhancing spectrum sensing and prediction in cognitive radio systems: approaches, datasets, and challenges 2024 🔗 Voir
Deep Learning for Future: Advancements and Prospects in Signal Denoising for Cognitive Radio 2024 🔗 Voir
Review of Dynamic Spectrum Sharing: Techniques and Challenges 2024 🔗 Voir
Deep Learning Based Automatic Modulation Classification Using IQ Signals 2024 🔗 Voir
Performance improvements of a VLC system, in a V2X context, using a different multiplexing technique 2023 🔗 Voir
Deep Learning Applied for Spectrum Sensing 2023 🔗 Voir
Signal demodulation with Deep Learning Methods for visible light communication 2023 🔗 Voir
The Next-Generation 6G: Trends, Applications, Technologies, Challenges, and Use Cases 2023 🔗 Voir
A Survey on Automatic Signal Detection Using Deep Learning 2023 🔗 Voir
6G and V2X Communications: Applications, Features, and Challenges 2022 🔗 Voir
Review article: Optimization of a V2V communication in cognitive radio context 2021 🔗 Voir
Analysis of realistic DS-OCDMA/VLC for V2X communication using optisystem 2021 🔗 Voir
Performances optimization of an DS-OCDMA system by repetitive coding using delayed codes 2019 🔗 Voir
Modeling and Design of a DVB-S2X system 2019 🔗 Voir
Enhancement of the Performance of a VLC system using Hybrid OTDM/WDM technique 2019 🔗 Voir
Enhancing Internet of vehicles (IOVs) performances using intelligent cognitive radio principles 2018 🔗 Voir
DS-OCDMA/WDM receivers based on parallel interference cancellation for gigabit passive optical network 2017 🔗 Voir
Performance analysis of parallel interference cancellation receiver applied to hybrid OCDMA/WDM System for high-speed optical access 2016 🔗 Voir
Behavioral modeling of long-term memory effects in sspas for efficient system-level simulation of communication systems 2016 🔗 Voir
Improvements on modeling coupling effects of nonlinear-memory in SSPAs 2015 🔗 Voir
Identification and implementation of long term memory kernel in SSAs based on the compound dynamic volterra structure for system level simulation 2007 🔗 Voir
A novel extraction technique of long term memory effects in solid state amplifiers based on compound dynamicVolterra models structure 2007 🔗 Voir