A Deep Learning-based Approach for Real-time Facemask Detection. - Wadii Boulila; Ayyub Alzahem; Aseel Almoudi; Muhanad Afifi; Ibrahim Alturki; Maha Driss (ICMLA, 2021)

Towards Optimizing Malware Detection: An Approach Based on Generative Adversarial Networks and Transformers. - Ayyub Alzahem; Wadii Boulila; Maha Driss; Anis Koubaa; Iman M. Almomani (ICCCI, 2022)

Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics. - Ayyub Alzahem; Shahid Latif; Wadii Boulila; Anis Koubaa (KES, 2023)

Sustainable Palm Tree Farming: Leveraging IoT and Multi-Modal Data for Early Detection and Mapping of Red Palm Weevil. - Yosra Hajjaji; Ayyub Alzahem; Wadii Boulila; Imed Riadh Farah; Anis Koubaa (KES, 2023)

Exploring ChatGPT Capabilities and Limitations: A Survey. - Anis Koubaa; Wadii Boulila; Lahouari Ghouti; Ayyub Alzahem; Shahid Latif (IEEE Access, 2023)

Early detection of red palm weevil infestations using deep learning classification of acoustic signals. - Wadii Boulila; Ayyub Alzahem; Anis Koubaa; Bilel Benjdira; Adel Ammar (Comput. Electron. Agric., 2023)

Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers. - Ayyub Alzahem; Wadii Boulila; Anis Koubaa; Zahid Khan; Ibrahim Alturki (Earth Sci. Informatics, 2023)

Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. - Ayyub Alzahem; Wadii Boulila; Maha Driss; Anis Koubaa (ICCCI (2), 2024)

An effective weight initialization method for deep learning: Application to satellite image classification. - Wadii Boulila; Eman Alshanqiti; Ayyub Alzahem; Anis Koubaa; Nabil Mlaiki (Expert Syst. Appl., 2024)