Pub Date : 2024-12-13DOI: 10.1109/LPT.2024.3517424
Juan J. Paniagua-Medina;Everardo Vargas-Rodriguez;Ana Dinora Guzman-Chavez;Jose Carmen Morales-Castro;Roberto J. Correa-Jurado
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 $2pi $