Predicting dielectric properties of fruit juices at 915 and 2450 MHz using machine learning and physicochemical measurements
Author:
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Fundacao de Amparo a Pesquisa do Estado de Sao Paulo
Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
Publisher
Elsevier BV
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