A machine learning approach to wastewater treatment: Gaussian process regression and Monte Carlo analysis
A machine learning approach to wastewater treatment Gaussian process regression and Monte Carlo analysis Conducted under the SMEP-funded SAFECONOMY project, this study aimed to analyse the application of Gaussian Process Regression (GPR) modelling to improve the accuracy of degradation response predictions in wastewater treatment. Three crucial factors, i.e., catalyst (CFA–ZnF), oxidant (H2O2), and pollutant (MB) […]







