Random Forest Regression for Improving the Measurement Range of a Temperature Interferometric Sensor
Abstract: In this work, a random forest regression was used to predict the temperature of an interferometric optical sensor over a wide measurement range, overcoming several times the $2\pi $ ...
There are also releases here on GitHub if you don't use any project management tool. You will need to obtain digital as well, of the appropriate version for the ...
This version is a fork of the original tsid-creator created by Fabio Lima. The reason why the project was forked was due to this comment from the original author: Take what you need from this project ...
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