Iyad Lahsen Cherif

According to our database, Iyad Lahsen Cherif authored at least 27 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

AI-Driven Hybrid Batch Authentication for UAV-Assisted Mobile IoT Networks.

Soukaina Essafi, Ahmed El-Yahyaoui, Ali Ouacha, Iyad Lahsen Cherif

Int. J. Interact. Mob. Technol., 2026

2025

Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing.

Anasse Boutayeb, Iyad Lahsen Cherif, Ahmed El Khadimi

CoRR, May, 2025

When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review.

Anasse Boutayeb, Iyad Lahsen Cherif, Ahmed El Khadimi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Federated Learning Meets Cybersecurity: Aggregation Strategies Using UNSW-NB15 Dataset.

Oumaima Ennasri, Iyad Lahsen Cherif, Omar Ait Oualhaj, Abdelah Najid

Proceedings of the 12th International Conference on Wireless Networks and Mobile Communications, 2025

Wifiqna: a Wifi Dataset for Large Language Models.

Anouar Zouhri, Lynda Zitoune, Iyad Lahsen Cherif

Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

ForensicsData: A Digital Forensics Dataset for Large Language Models.

Youssef Chakir, Iyad Lahsen Cherif

Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

Deformable Attention Mechanisms applied to Object Detection, case of Remote Sensing images.

Anasse Boutayeb, Iyad Lahsen Cherif, Ahmed El Khadimi

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

Pareto DQL-MultiMDP Sub-Controllers for Load Balancing in Large and Dynamic WiFi Networks.

Mohamed Bellouch, Lynda Zitoune, Iyad Lahsen Cherif, Véronique Vèque

Proceedings of the IEEE International Conference on Communications, 2025

Enhanced Detection of Cyberattacks on Unmanned Aerial Vehicles (UAVs) Using Machine Learning.

Tariq Mouatassim, Mohammed Airaj, El Mahdi El Guarmah, Iyad Lahsen Cherif, Hassan El Ghazi

Proceedings of the 8th IEEE Congress on Information Science and Technology, 2025

2024

A comprehensive GeoAI review: Progress, Challenges and Outlooks.

Anasse Boutayeb, Iyad Lahsen Cherif, Ahmed El Khadimi

CoRR, 2024

Deep Learning for Telecom Self-Optimized Networks: Benefits and Implications.

Farah Alhaqui, Iyad Lahsen Cherif, Mariam Elkhechafi, Ahmed Elkhadimi

IEEE Access, 2024

DQL-MultiMDP: A Deep Q-Learning-Based Algorithm for Load Balancing in Dynamic and Dense WiFi Networks.

Mohamed Bellouch, Lynda Zitoune, Iyad Lahsen Cherif, Véronique Vèque

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Load Balancing in Large WiFi Networks Using DQL-MultiMDP with Constrained Clustering.

Mohamed Bellouch, Lynda Zitoune, Iyad Lahsen Cherif, Véronique Vèque

Proceedings of the 32nd International Conference on Modeling, 2024

Fair WiFi STA-to-AP Association with DQL-MultiMDP: Investigation and Opportunities.

Mohamed Bellouch, Lynda Zitoune, Iyad Lahsen Cherif, Véronique Vèque

Proceedings of the Global Information Infrastructure and Networking Symposium, 2024

Toward a City Digital Twin: Design Principles, and Challenges.

Fouad Younes, Iyad Lahsen Cherif, Hassan El Ghazi

Proceedings of the 7th International Conference on Advanced Communication Technologies and Networking, 2024

2023

Low Complexity Adaptive Machine Learning Approaches for End-to-End Latency Prediction.

Pierre Larrenie, Jean-François Bercher, Olivier Venard, Iyad Lahsen Cherif

CoRR, 2023

Cybersecurity Analytics: Toward an Efficient ML-Based Network Intrusion Detection System (NIDS).

Tariq Mouatassim, Hassan El Ghazi, Khadija Bouzaâchane, El Mahdi El Guarmah, Iyad Lahsen Cherif

Proceedings of the Machine Learning for Networking - 6th International Conference, 2023

2022

Low Complexity Approaches for End-to-End Latency Prediction.

Pierre Larrenie, Jean-François Bercher, Olivier Venard, Iyad Lahsen Cherif

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021

Energy Efficient Routing for Wireless Mesh Networks with Directional Antennas: When Q-learning meets Ant systems.

Iyad Lahsen Cherif, Lynda Zitoune, Véronique Vèque

Ad Hoc Networks, 2021

2019

On using eXtreme Gradient Boosting (XGBoost) Machine Learning algorithm for Home Network Traffic Classification.

Iyad Lahsen Cherif, Abdesselem Kortebi

Proceedings of the 2019 Wireless Days, 2019

2018

Impact of Resource Blocks Allocation Strategies on Downlink Interference and SIR Distributions in LTE Networks: A Stochastic Geometry Approach.

Anthony Busson, Iyad Lahsen Cherif

Wirel. Commun. Mob. Comput., 2018

Early classification of residential networks traffic using C5.0 machine learning algorithm.

Zied Aouini, Abdesselem Kortebi, Yacine Ghamri-Doudane, Iyad Lahsen Cherif

Proceedings of the 2018 Wireless Days, 2018

2017

Joint optimization of energy consumption and throughput of directional WMNs.

Iyad Lahsen Cherif, Lynda Zitoune, Véronique Vèque

Proceedings of the IEEE International Conference on Communications, 2017

2016

Spectral and Energy Efficiency in 5G Wireless Networks. (Efficacité spectrale et énergétique dans les réseaux 5G).

Iyad Lahsen Cherif

PhD thesis, 2016

Throughput and energy consumption evaluation in directional antennas mesh networks.

Iyad Lahsen Cherif, Lynda Zitoune, Véronique Vèque

Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

2015

Performance evaluation of Joint Transmission Coordinated-Multipoint in dense Very High Throughput WLANs scenario.

Iyad Lahsen Cherif, Lynda Zitoune, Véronique Vèque

Proceedings of the 40th IEEE Conference on Local Computer Networks, 2015

The r-l square point process: The effect of coordinated multipoint joint transmission.

Iyad Lahsen Cherif, Lynda Zitoune, Véronique Vèque

Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015