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Showing posts with label Support vector machine. Show all posts
Showing posts with label Support vector machine. Show all posts
Thursday, 16 March 2023

Machine Learning to Predict the Adsorption Capacity of Microplastics

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 Nanomaterials 2023, 13(6), 1061 Nowadays, there is an extensive production and use of plastic materials for different industrial activities...
Wednesday, 14 December 2022

Global Solar Irradiation Modelling and Prediction Using Machine Learning Models for Their Potential Use in Renewable Energy Applications

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 Mathematics 2022, 10(24), 4746 Global solar irradiation is an important variable that can be used to determine the suitability of an area t...
Friday, 8 October 2021

Machine Learning Applied to the Oxygen-18 Isotopic Composition, Salinity and Temperature/Potential Temperature in the Mediterranean Sea

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  Mathematics 2021, 9(19), 2523 This study proposed different techniques to estimate the isotope composition (δ18O), salinity and temperatur...
Monday, 13 July 2020

Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies

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  Food Chem. 2020, 333,127460 Arbutus unedo L. (strawberry tree) has showed considerable content in phenolic compounds, especially flavan-3...
Saturday, 4 July 2020

Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies

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 Food Chemistry, 2020, 33, 127460 DOI:10.1016/j.foodchem.2020.127460 Arbutus unedo L. (strawberry tree) has showed considerable content in ...
Saturday, 1 February 2020

Random Forest, Artificial Neural Network, and Support Vector Machine Models for Honey Classification

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eFood, 2020, 1(1) 69-76 Different separated protein fractions by the electrophoretic method in polyacrylamide gel were used to classify two ...