A framework for elders fall detection using deep learning. - Sara Mobsite; Nabih Alaoui; Mohammed Boulmalf (CIST, 2021)

A Deep Learning Dual-Stream Framework for Fall Detection. - Sara Mobsite; Nabih Alaoui; Mohammed Boulmalf; Mounir Ghogho (IWCMC, 2023)

Semantic segmentation-based system for fall detection and post-fall posture classification. - Sara Mobsite; Nabih Alaoui; Mohammed Boulmalf; Mounir Ghogho (Eng. Appl. Artif. Intell., 2023)

Activity Classification and Fall Detection Using Monocular Depth and Motion Analysis. - Sara Mobsite; Nabih Alaoui; Mohammed Boulmalf; Mounir Ghogho (IEEE Access, 2024)

Feature fusion-based computer vision system for fall and head injury detection trained on a new humanlike doll-based dataset. - Sara Mobsite; Nabih Alaoui; Mohammed Boulmalf; Mounir Ghogho (Eng. Appl. Artif. Intell., 2024)

A Privacy-Preserving AIoT Framework for Fall Detection and Classification Using Hierarchical Learning With Multilevel Feature Fusion. - Sara Mobsite; Nabih Alaoui; Mohammed Boulmalf; Mounir Ghogho (IEEE Internet Things J., 2024)

Deep Learning-Driven Mobile Application for E-tourism. - Mohammed Boulmalf; Anass Sebbar; Sara Mobsite; Ouassim Karrakchou; Mounir Ghogho (IWCMC, 2025)