Titlebook: Computer Analysis of Images and Patterns; 20th International C Nicolas Tsapatsoulis,Andreas Lanitis,Andreas Panay Conference proceedings 20

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La classification des espaces 1-convexes,olutions lack the ability to combine low-power consumption, privacy protection, low latency response, and low payload. In this work, we address this gap through a comparative analysis of the trade-off between effectiveness and energy consumption by comparing a Recurrent Spiking Neural Network (RSNN)

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https://doi.org/10.1007/BFb0091458oring sleep. This study investigates methods for autonomously identifying sleep segments base on wearable device data. We employ and evaluate machine and deep learning models on the benchmark MESA dataset, with results showing that they outperform traditional methods in terms of accuracy, F1 score,