General scheme for always transmit solution in cognitive radio systems. - Mohammed Ridouani; Aawatif Hayar (ICT, 2013)

QoS of cognitive and primary networks and spectrum sensing tradeoff using always transmit strategy over Nakagami-m fading channels. - Mohammed Ridouani; Aawatif Hayar; Abdelkrim Haqiq (CCS, 2014)

Relaxed constraint at cognitive relay network under both the outage probability of the primary system and the interference constraint. - Mohammed Ridouani; Aawatif Hayar; Abdelkrim Haqiq (EuCNC, 2015)

Continuous transmit in cognitive radio systems: outage performance of selection decode-and-forward relay networks over Nakagami-m fading channels. - Mohammed Ridouani; Aawatif Hayar; Abdelkrim Haqiq (EURASIP J. Wirel. Commun. Netw., 2015)

A novel power control based on a relaxed constraint in cognitive system. - Mohammed Ridouani; Aawatif Hayar; Abdelkrim Haqiq (Trans. Emerg. Telecommun. Technol., 2016)

Perform sensing and transmission in parallel in cognitive radio systems: Spectrum and energy efficiency. - Mohammed Ridouani; Aawatif Hayar; Abdelkrim Haqiq (Digit. Signal Process., 2017)

A Survey on Compressive Spectrum Sensing for Cognitive Radio Networks. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (ISC2, 2019)

Routing Protocols on Cognitive Radio Networks: Survey. - Houda Elrhareg; Mohammed Ridouani; Aawatif Hayar (ISC2, 2019)

A Secure Bayesian Compressive Spectrum Sensing Technique Based Chaotic Matrix for Cognitive Radio Networks. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (SoCPaR, 2020)

Automatic detection Using Deep Convolutional Neural Networks for 11 Abnormal Positioning of Tubes and Catheters in Chest X-ray Images. - Abdelfettah Elaanba; Mohammed Ridouani; Larbi Hassouni (AIIoT, 2021)

Chaotic Compressive Spectrum Sensing Based on Chebyshev Map for Cognitive Radio Networks. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (Symmetry, 2021)

Alzheimer's Disease Multi-class Classification Model Based on CNN and StackNet Using Brain MRI Data. - Chaima Techa; Mohammed Ridouani; Larbi Hassouni; Houda Anoun (AISI, 2022)

A novel secure cooperative cognitive radio network based on Chebyshev map. - Mohammed Ridouani; Salma Benazzouza; Fatima Salahdine; Aawatif Hayar (Digit. Signal Process., 2022)

A New Churn Prediction Model Based on Deep Insight Features Transformation for Convolution Neural Network Architecture and Stacknet. - Jalal Rabbah; Mohammed Ridouani; Larbi Hassouni (Int. J. Web Based Learn. Teach. Technol., 2022)

A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (Sensors, 2022)

New Approach to Telecom Churn Prediction Based on Transformers. - Jalal Rabbah; Mohammed Ridouani; Larbi Hassouni (AICV, 2023)

A Stacked Generalization Chest-X-Ray-Based Framework for Mispositioned Medical Tubes and Catheters Detection. - Abdelfettah Elaanba; Mohammed Ridouani; Larbi Hassouni (Biomed. Signal Process. Control., 2023)

Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions. - Amal Naitali; Mohammed Ridouani; Fatima Salahdine; Naima Kaabouch (Comput., 2023)

Bridging Healthcare and Telecommunications A Unified Model for Multi-Task Image Classification. - Jalal Rabbah; Mohammed Ridouani; Larbi Hassouni (WINCOM, 2024)

A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks. - Hassan Khazane; Mohammed Ridouani; Fatima Salahdine; Naima Kaabouch (Future Internet, 2024)

A novel spectrogram based lightweight deep learning for IoT spectrum monitoring. - Salma Benazzouza; Mohammed Ridouani; Fatima Salahdine; Aawatif Hayar (Phys. Commun., 2024)

Improving pneumonia diagnosis with high-accuracy CNN-Based chest X-ray image classification and integrated gradient. - Jalal Rabbah; Mohammed Ridouani; Larbi Hassouni (Biomed. Signal Process. Control., 2025)