4 citations · 7 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
Optimizing Retrieval-Augmented Generation: Analysis of Hyperparameter Impact on Performance and Efficiency
Adel Ammar, Anis Koubaa, Omer Nacar +1
Large language models achieve high task performance yet often hallucinate or rely on outdated knowledge. Retrieval-augmented generation (RAG) addresses these gaps by coupling gener…
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…