In many countries, slope failure is a complex natural issue that can result in serious hazards, such as landslide dams. It associated with the challenge of stability evaluation, which involves classification problem slopes and regression predicting factor safety (FOS) value. This study explored implementation machine learning to analyze using comprehensive database 880 homogenous (266 unstable ...

[1] Bayesian analysis has become vital to uncertainty quantification in groundwater modeling, but its application has been hindered by the computational cost associated with numerous model executions required by exploring the posterior probability density function (PPDF) of model parameters. This is particularly the case when the PPDF is estimated using Markov Chain Monte Carlo (MCMC) sampling....

Microfluidics have shown great promise in multiple applications, especially biomedical diagnostics and separations. While the flow properties of these microfluidic devices can be solved by numerical methods such as computational fluent dynamics (CFD), process mesh generation setting up a solver requires some domain familiarity, while more intuitive commercial programs StarCCM expensive. Hence, ...