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Author

P. Visconti

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Open access Aug 2026

Hierarchical Multimodal Sleep Staging with Optimized EEG, EOG, and PPG Features for Wearable Applications

A lightweight two-stage Deep Learning framework for five-class sleep staging based on optimized multimodal physiological features extracted from electroencephalogram (EEG), electrooculogram (EOG), and photoplethysmography (PPG) signals, suggesting its potential suitability for wearable and edge-based sleep-monitoring s...

R. de Fazio, Matteo Paiano, R. Velázquez 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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