Puślecki, TobiaszWalkowiak, Krzysztof2023-09-252023-09-252023Puślecki T., Walkowiak K., On the Selection of a Machine Learning model in TinyML Devices – Preliminary Study. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 501-505, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.80.978-83-66741-92-8http://hdl.handle.net/11652/4856https://doi.org/10.34658/9788366741928.80The expected development of TinyML-related technologies will necessitate the development of methods for efficient use of energy resources. In this article, we present preliminary study of machine learning (ML) model selection in TinyML devices in order to reach a tradeoff between accuracy and energy consumption. We study various use cases with different ML models. Our research shows that the presented method can improve the TinyML system in terms of operation time at the cost of slightly lower accuracy.enDla wszystkich w zakresie dozwolonego użytkuFair use conditionTinyMLenergy consumptionmodel selectionzużycie energiiwybór modeluOn the Selection of a Machine Learning model in TinyML Devices – Preliminary StudyRozdział - monografiaLicencja PŁLUT License10.34658/9788366741928.80