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