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Sea wave data reconstruction using micro-seismic measurements and machine learning methods
As a case of study, we used experimental data collected in 2014 from the Northern Tyrrhenian Sea demonstrating that the data reconstruction can be done both for significant wave height and wave period.
Machine learning-based method for linearization and error compensation of an absolute rotary encoder
We used these training data to test, characterize, and compare several machine learning algorithms for the classification and the regression.
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