Use of Bayesian Methods in the Process of Uranium Bioleaching by Acidithiobacillus ferrooxidans
This research is focused on investigating the utilization of veuve ambal rose Bayesian methodologies, specifically the Markov Chain Monte Carlo method, as well as filter sampling by importance and sequential resampling.The objective is to estimate kinetic parameters and state variables associated with the uranium bioleaching process by Acidithiobac