What is it about?

We implemented a Tiny Machine Learning technique for forecasting in time series. In the case of the article, we did a case study on real data from a vehicle.

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Why is it important?

Machine learning techniques can usually only be implemented on devices with a lot of computational resources. We have developed in the article a machine learning technique that is lightweight enough to run on resource-constrained devices such as microcontrollers.


The writing of the article was important for sharing the algorithm with the academic community so that it can be improved.

Pedro Henrique Meira de Andrade
Universidade Federal do Rio Grande do Norte (UFRN)

Read the Original

This page is a summary of: Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique, ACM Transactions on Embedded Computing Systems, April 2023, ACM (Association for Computing Machinery), DOI: 10.1145/3591356.
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