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Author

Teodoro Montanaro

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Open access 2026

Evaluation of Deep Learning Architectures on Synthetic LiDAR Sequences for Fall Detection

Falls represent a major health risk for the elderly population, often leading to serious injuries and loss of independence. Despite advances in sensing and monitoring technologies, existing fall-detection systems continue to face challenges related to accuracy, privacy, and user compliance. To address these limitations...

Amir Ali, Teodoro Montanaro, Ahmad Alsharoa et al. · 0 citations
Conference Jul 2026

Online Federated Learning on Resource-Limited IoT Devices for Traffic Flow Prediction in Smart Mobility Ecosystems

Traffic congestion significantly impacts safety and urban livability in smart cities, motivating the development of accurate Traffic Flow Prediction (TFP) systems. Traditional deep learning approaches typically rely on centralized training, which is difficult to scale in distributed Internet of Things (IoT) environment...

M. Pizzolante, A. Shumba, T. Montanaro et al. · 0 citations

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