As modeling tools and approaches become more advanced, ecological models are becoming more complex. Traditional sensitivity analyses can struggle to identify the nonlinearities and interactions ...

This study presents a supervised machine learning approach using a Random Forest classifier to detect ischemia-reperfusion injury (IRI) in kidney tissue based on intravital two-photon microscopy data.

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Abdul Wahab Khan Panaji Findings from five decades of satellite data and Random Forest classification have revealed a 3.75 per cent reduction in Goa’s dense forest cover and a loss of nearly 200 ...