1 citations · 3 across the 5 of their papers we have counts for
6 papers
An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification
Wadii Boulila, Eman Alshanqiti, Ayyub Alzahem +2
The growing interest in satellite imagery has triggered the need for efficient mechanisms to extract valuable information from these vast data sources, providing deeper insights. E…
Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures
Ayyub Alzahem, Wadii Boulila, Maha Driss +1
Addressing uncertainty in Deep Learning (DL) is essential, as it enables the development of models that can make reliable predictions and informed decisions in complex, real-world…
Early Detection of Red Palm Weevil Infestations using Deep Learning Classification of Acoustic Signals
Wadii Boulila, Ayyub Alzahem, Anis Koubaa +2
The Red Palm Weevil (RPW), also known as the palm weevil, is considered among the world's most damaging insect pests of palms. Current detection techniques include the detection of…
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 +2
The Red Palm Weevil (RPW) is a highly destructive insect causing economic losses and impacting palm tree farming worldwide. This paper proposes an innovative approach for sustainab…
Unlocking the Potential of Medical Imaging with ChatGPT's Intelligent Diagnostics
Ayyub Alzahem, Shahid Latif, Wadii Boulila +1
Medical imaging is an essential tool for diagnosing various healthcare diseases and conditions. However, analyzing medical images is a complex and time-consuming task that requires…
A Deep Learning-based Approach for Real-time Facemask Detection
Wadii Boulila, Ayyub Alzahem, Aseel Almoudi +3
The COVID-19 pandemic is causing a global health crisis. Public spaces need to be safeguarded from the adverse effects of this pandemic. Wearing a facemask becomes one of the effec…