@inproceedings{7d3c71f27d5849629e1bba1ba624cddf,
title = "Test the Capability of Arduino TinyML for Machine Learning",
abstract = "Machine learning can be used for anything in our daily lives using TinyML, with low power and memory constraints. This chapter shows a test of the capability of Arduino Nano 33 BLE Sense board to perform machine learning. For this, TinyML board with its sensors will be compared with equivalent machine learning using a computer. The results of these two approaches will be compared to know whether the board shows satisfying results. This board is still not widely used, and acknowledging what it can do will allow us to use it more effectively.",
keywords = "Embedded system, Machine learning, Neural network, TinyML",
author = "Valentin Caravella and Sahar Yassine and Kadry, \{Seifedine Nimer\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 7th EAI International Conference on Robotics and Networks, ROSENET 2023 ; Conference date: 15-12-2023 Through 16-12-2023",
year = "2024",
doi = "10.1007/978-3-031-64495-5\_12",
language = "English",
isbn = "9783031644948",
series = "EAI/Springer Innovations in Communication and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "161--175",
editor = "G{\"u}l, \{{\"O}mer Melih\} and Paolo Fiorini and Kadry, \{Seifedine Nimer\}",
booktitle = "7th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2023",
address = "Germany",
}