6 citations · 11 across the 18 of their papers we have counts for
19 papers
Trust-SSL: Additive-Residual Selective Invariance for Robust Aerial Self-Supervised Learning
Wadii Boulila, Adel Ammar, Bilel Benjdira +1
Self-supervised learning (SSL) is a standard approach for representation learning in aerial imagery. Existing methods enforce invariance between augmented views, which works well w…
Enhancing Early Alzheimer Disease Detection through Big Data and Ensemble Few-Shot Learning
Safa Ben Atitallah, Maha Driss, Wadii Boulila +1
Alzheimer disease is a severe brain disorder that causes harm in various brain areas and leads to memory damage. The limited availability of labeled medical data poses a significan…
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss +2
Graph Mamba, a powerful graph embedding technique, has emerged as a cornerstone in various domains, including bioinformatics, social networks, and recommendation systems. This surv…
Enhancing Internet of Things Security throughSelf-Supervised Graph Neural Networks
Safa Ben Atitallah, Maha Driss, Wadii Boulila +1
With the rapid rise of the Internet of Things (IoT), ensuring the security of IoT devices has become essential. One of the primary challenges in this field is that new types of att…
Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss +2
The abundance of complex and interconnected healthcare data offers numerous opportunities to improve prediction, diagnosis, and treatment. Graph-structured data, which includes ent…
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning
Safa Ben Atitallah, Maha Driss, Wadii Boulila +1
The Internet of Things (IoT) has been introduced as a breakthrough technology that integrates intelligence into everyday objects, enabling high levels of connectivity between them.…
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…
CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption
Hassan Ali, Muhammad Shahbaz Khan, Maha Driss +3
In the era of Industrial IoT (IIoT) and Industry 4.0, ensuring secure data transmission has become a critical concern. Among other data types, images are widely transmitted and uti…
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning
Safa Ben Atitallah, Maha Driss, Henda Ben Ghezala
Deep learning-based disease diagnosis applications are essential for accurate diagnosis at various disease stages. However, using personal data exposes traditional centralized lear…
Distributed Twins in Edge Computing: Blockchain and IOTA
Anwar Sadad, Muazzam A. Khan, Baraq Ghaleb +4
Blockchain (BC) and Information for Operational and Tactical Analysis (IOTA) are distributed ledgers that record a huge number of transactions in multiple places at the same time u…
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…
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…
Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images
Safa Ben Atitallah, Maha Driss, Wadii Boulila +1
By the start of 2020, the novel coronavirus disease (COVID-19) has been declared a worldwide pandemic. Because of the severity of this infectious disease, several kinds of research…
Microservices in IoT Security: Current Solutions, Research Challenges, and Future Directions
Maha Driss, Daniah Hasan, Wadii Boulila +1
In recent years, the Internet of Things (IoT) technology has led to the emergence of multiple smart applications in different vital sectors including healthcare, education, agricul…
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery
Safa Ben Atitallah, Maha Driss, Wadii Boulila +3
Recently, Convolutional Neural Networks (CNNs) have made a great performance for remote sensing image classification. Plant recognition using CNNs is one of the active deep learnin…
Voting Classifier-based Intrusion Detection for IoT Networks
Muhammad Almas Khan, Muazzam A Khan, Shahid Latif +5
Internet of Things (IoT) is transforming human lives by paving the way for the management of physical devices on the edge. These interconnected IoT objects share data for remote ac…
Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives
Wadii Boulila, Maha Driss, Mohamed Al-Sarem +2
During the last decade, several research works have focused on providing novel deep learning methods in many application fields. However, few of them have investigated the weight i…