Ayyub Alzahem

According to our database, Ayyub Alzahem authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures.

Ayyub Alzahem, Wadii Boulila, Maha Driss, Anis Koubaa

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

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, December, 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., September, 2023

Exploring ChatGPT Capabilities and Limitations: A Survey.

Anis Koubaa, Wadii Boulila, Lahouari Ghouti, Ayyub Alzahem, Shahid Latif

IEEE Access, 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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics.

Ayyub Alzahem, Shahid Latif, Wadii Boulila, Anis Koubaa

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Towards Optimizing Malware Detection: An Approach Based on Generative Adversarial Networks and Transformers.

Ayyub Alzahem, Wadii Boulila, Maha Driss, Anis Koubaa, Iman M. Almomani

Proceedings of the Computational Collective Intelligence - 14th International Conference, 2022

2021

A Deep Learning-based Approach for Real-time Facemask Detection.

Wadii Boulila, Ayyub Alzahem, Aseel Almoudi, Muhanad Afifi, Ibrahim Alturki, Maha Driss

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021