Gallery of Chaotic Attractors Generated by Fractal Network. - Kais Bouallegue (Int. J. Bifurc. Chaos, 2015)

Blind spectrum sensing based spatial scanning and maximum energy ratio. - Kais Bouallegue; Iyad Dayoub; Mohamed Gharbi (SoftCOM, 2016)

Spectrum sensing for wireless communications using energy ratio and beamforming. - Kais Bouallegue; Iyad Dayoub; Mohamed Gharbi (ICC, 2017)

Face recognition system using bag of features and multi-class SVM for robot applications. - Salah Nasr; Kais Bouallegue; Muhammad Shoaib; Hassen Mekki (ICCAD, 2017)

A novel image encryption scheme using chaos, hyper-chaos systems and the secure Hash algorithm SHA-1. - Nabil Ben Slimane; Kais Bouallegue; Mohsen Machhout (ICCAD, 2017)

On Low-Complexity Spectrum Sensing: Analytical Approach Based Spatial Scanning. - Kais Bouallegue; Iyad Dayoub; Mohamed Gharbi (WCNC, 2017)

A new class of neural networks and its applications. - Kais Bouallegue (Neurocomputing, 2017)

A cost-effective approach for spectrum sensing using beamforming. - Kais Bouallegue; Iyad Dayoub; Mohamed Gharbi; Kais Hassan (Phys. Commun., 2017)

Hash Key-Based Image Cryptosystem Using Chaotic Maps and Cellular Automata. - Nabil Ben Slimane; Nahed Aouf; Kais Bouallegue; Mohsen Machhout (SSD, 2018)

Control of the Chaotic Phenomenon in Robot Path using Differential Flatness. - Salah Nasr; Amine Abadi; Kais Bouallegue; Hassen Mekki (ICINCO (2), 2018)

Chaos Engineering and Control in Mobile Robotics Applications. - Salah Nasr; Amine Abadi; Kais Bouallegue; Hassen Mekki (ICINCO (2), 2018)

Blind Spectrum Sensing Using Extreme Eigenvalues for Cognitive Radio Networks. - Kais Bouallegue; Iyad Dayoub; Mohamed Gharbi; Kais Hassan (IEEE Commun. Lett., 2018)

A novel chaotic image cryptosystem based on DNA sequence operations and single neuron model. - Nabil Ben Slimane; Nahed Aouf; Kais Bouallegue; Mohsen Machhout (Multim. Tools Appl., 2018)

On the impact of the covariance matrix size for spectrum sensing methods: beamforming versus eigenvalues. - Kais Bouallegue; Matthieu Crussière; Iyad Dayoub (ISCC, 2019)

Unified Sensing Algorithm : a Smart Full Exploitation of Detection Methods. - Kaïs Bouallegue; Jean-Yves Baudais; Matthieu Crussière (WiMob, 2019)

A Fast Path Planning method of robot for Surveillance missions based on Chaos. - Salah Nasr; Hassen Mekki; Kais Bouallegue (Int. J. Robotics Autom., 2019)

Neuron Model With Two Dendrites and its Behaviors. - Ghaith Bouallegue; Lotfi Hamrouni; Kais Bouallegue (SSD, 2020)

Transfer-Deep Learning Application for Ultrasonic Computed Tomographic Image Classification. - Marwa Fradi; Mouna Afif; El-hadi Zahzeh; Kais Bouallegue; Mohsen Machhout (ICCAD, 2020)

SVM Assisted Primary User-Detection for Non-Cooperative Cognitive Radio Networks. - Kais Bouallegue; Matthieu Crussière; Sofiane Kharbech (ISCC, 2020)

Fractal, chaos and neural networks in path generation of mobile robot. - Salah Nasr; Kais Bouallegue; Hassen Mekki (Int. J. Model. Identif. Control., 2020)

Spectrum sensing assisted by windowing for fast time-varying channel. - Kaïs Bouallegue; Matthieu Crussière (Phys. Commun., 2020)

A hybrid Modified Black Widow Optimization and PSO Algorithm: Application in Feature Selection for Cognitive Radio Networks. - Sarra Ben Chaabane; Kais Bouallegue; Akram Belazi; Sofiane Kharbech; Ammar Bouallegue (APCC, 2022)

Impact of neuron network on the generation of chaotic attractors. - Salma Ben Mamia; William Puech; Kais Bouallegue (CoDIT, 2022)

Chaotic Dingo Optimization Algorithm: Application in Feature Selection for Beamforming Aided Spectrum Sensing. - Sarra Ben Chaabane; Kais Bouallegue; Akram Belazi; Sofiane Kharbech; Ammar Bouallegue (ICCCI, 2022)

Detection of Primary User assisted by Machine Learning over Multipath Channels. - Kais Bouallegue; Matthieu Crussière (WCNC, 2022)

Smart Full-Exploitation of Beamforming Fusion assisted Spectrum Sensing for Cognitive Radio. - Sarra Ben Chaabane; Kais Bouallegue; Akram Belazi; Sofiane Kharbech; Ammar Bouallegue (WiMob, 2022)

Generation of chaotic attractors using neurons with multidentrites. - Salma Ben Mamia; William Puech; Kais Bouallegue (Int. J. Model. Identif. Control., 2022)

Deep learning based neural network application for automatic ultrasonic computed tomographic bone image segmentation. - Marwa Fradi; El-hadi Zahzah; Kais Bouallegue; Mohsen Machhout (Multim. Tools Appl., 2022)

Simulator of Eeg Using Neural Networks with Neuron Contains Multi Dendrites. - Kaouther Selmi; Mohamed Bouallegue; Kais Bouallegue (CW, 2023)

From Diffusion to Confusion of RGB Pixels Using a New Chaotic System for Color Image Encryption. - Salma Ben Mamia; Pauline Puteaux; William Puech; Kais Bouallegue (IEEE Access, 2023)

Exploring Signal Dynamics in Brain Sleep and Consciousness. - Kaouther Selmi; Kais Bouallegue (ICCA, 2024)

Novel Enhanced ChronoNet Model for Epileptic Seizure Detection: A Comprehensive Methodological Study. - Souhaila Khalfallah; Kais Bouallegue (SSD, 2025)

Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders. - Souhaila Khalfallah; William Puech; Mehdi Tlija; Kais Bouallegue (IEEE Access, 2025)

A variable structure model of neurons' application in computer vision. - Alaeddine Sridi; Mouna Attia; Kais Bouallegue (Multim. Tools Appl., 2025)