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Journal: Atmosphere, 2023
Volume: 14
Number: 283

Article: GHG Global Emission Prediction of Synthetic N Fertilizers Using Expectile Regression Techniques
Authors: by Kaoutar Benghzial, Hind Raki, Sami Bamansour, Mouad Elhamdi, Yahya Aalaila and Diego H. Peluffo-Ordóñez
Link: https://www.mdpi.com/2073-4433/14/2/283

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