65 citations · 148 across the 57 of their papers we have counts for
13 papers · 1 filter
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…
Global Outliers Detection in Wireless Sensor Networks: A Novel Approach Integrating Time-Series Analysis, Entropy, and Random Forest-based Classification
Mahmood Safaei, Maha Driss, Wadii Boulila +2
Wireless Sensor Networks (WSNs) have recently attracted greater attention worldwide due to their practicality in monitoring, communicating, and reporting specific physical phenomen…
Evolution of Target Localization in Wireless Sensor Network (WSN): A Review
Muneeb A. Khan, Muazzam A. Khan, Maha Driss +2
Wireless Sensor Network holds a pivotal position and gained a lot of attention from researchers in recent years. Sensor nodes have been used in vast applications such as environmen…
A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing
Zouhayra Ayadi, Wadii Boulila, Imed Riadh Farah
Constraint satisfaction problem (CSP) has been actively used for modeling and solving a wide range of complex real-world problems. However, it has been proven that developing effic…
Intrusion Detection using Machine Learning Techniques: An Experimental Comparison
Kathryn-Ann Tait, Jan Sher Khan, Fehaid Alqahtani +5
Due to an exponential increase in the number of cyber-attacks, the need for improved Intrusion Detection Systems (IDS) is apparent than ever. In this regard, Machine Learning (ML)…
GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide
Wadii Boulila, Anmar Abuhamdah, Maha Driss +2
Finding information about tourist places to visit is a challenging problem that people face while visiting different countries. This problem is accentuated when people are coming f…