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.
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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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