Recent advances in foundation models have significantly reshaped remote sensing by enabling large-scale representation learning and improved transferability across a wide range of Earth observation tasks. However, previous reviews have largely focused on specific model families or applications, providing limited discus...
Chaima Ben Fraj, D. Omri, T. Bejaoui· International Symposium on N...· 0 citations
Autonomous driving requires robust, accurate and real-time environmental perception. Although cameras, LiDAR, and radar provide complementary sensing capabilities, individual modalities remain vulnerable to limitations such as depth ambiguity, point-cloud sparsity, adverse weather, and restricted angular resolution. Mu...
A. Sahbani, Rihem Sebai, T. Bejaoui et al.· International Journal of Adv...· 0 citations
Machine-learning intrusion detection has strengthened protection in Internet of Things (IoT) networks, but it also creates a new attack surface: small, deliberately chosen changes to flow features can make malicious traffic appear benign. Classifier hardening retrains the detector, while existing non-invasive schemes c...
Adil Khan, Amna Eleyan, T. Bejaoui· International Symposium on N...· 0 citations
Predicting groundwater storage (GWS) is a major challenge due to the inherently spatio-temporal nature of hydrogeological processes. Graph Neural Networks (GNNs), particularly spatio-temporal architectures (ST-GNNs), offer a promising framework for modeling these complex dependencies by jointly capturing the spatial re...
Eya Dridi, D. Omri, T. Bejaoui· International Symposium on N...· 0 citations
This paper presents a multi-sensor fusion architecture with camera data segmentation. Robust perception is a fundamental prerequisite for the safety of autonomous vehicles, particularly in dynamic environments and varying weather conditions. Multi-sensor fusion approaches, integrating camera and LiDAR data, have emerge...
Rihem Sebai, A. Sahbani, T. Bejaoui· International Conference on...· 0 citations
Coronary Heart Disease (CHD) has remained one of the foremost causes of death in the world, and thus, there is a need to ensure that there are dependable early diagnosis mechanisms that would aid clinicians in making decisions at the right time. The rapid development of electronic health records and sensor-based medica...
Sania Batool, Muhammad Hassan Jamal, Warisha Siddiqui et al.· International Conference on...· 0 citations
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