Datasets are key to developing new machine learning-based applications but are very costly
to prepare, which hinders research and development in the field. We propose an edge-to …

Deep Learning (DL) has proved effective in a variety of application domains. However, the
computational and memory demand posed by deep neural models limits the spread of DL …

Wearable technology has emerged as a key focus in both academic research and industry
applications, especially in sports, where data gathering and analysis are crucial for …

The advancement of edge devices equipped with specialized hardware accelerators has
brought the deployment and execution of Deep Neural Network (DNN) models nearer to …

Deep Learning (DL) has proved effective in a variety of application domains. However, the
computational and memory demand posed by deep neural models limits the spread of DL …