AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling
Gerassis, S.; Giráldez, E.; Pazo-Rodríguez, M.; Saavedra, Á.; Taboada, J. AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling. Appl. Sci. 2021, 11, 7914. https://doi.org/10.3390/app11177914
Gerassis S, Giráldez E, Pazo-Rodríguez M, Saavedra Á, Taboada J. AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling. Applied Sciences. 2021; 11(17):7914. https://doi.org/10.3390/app11177914
Chicago/Turabian StyleGerassis, Saki, Eduardo Giráldez, María Pazo-Rodríguez, Ángeles Saavedra, and Javier Taboada. 2021. "AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling" Applied Sciences 11, no. 17: 7914. https://doi.org/10.3390/app11177914