6 citations · 8 across the 9 of their papers we have counts for
9 papers
FedMicro-IDA: A Federated Learning and Microservices-based Framework for IoT Data Analytics
Safa Ben Atitallah, Maha Driss, Henda Ben Ghezela
The Internet of Things (IoT) has recently proliferated in both size and complexity. Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for a v…
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…
SOH-KLSTM: A Hybrid Kolmogorov-Arnold Network and LSTM Model for Enhanced Lithium-Ion Battery Health Monitoring
Imen Jarraya, Safa Ben Atitallah, Fatimah Alahmeda +4
Accurate and reliable State Of Health (SOH) estimation for Lithium (Li) batteries is critical to ensure the longevity, safety, and optimal performance of applications like electric…
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.…
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…
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…