Based on this research, Wei Ran Lab has conducted big data analysis, trained millions of samples, and selected the Random Forest algorithm to identify threats in encrypted communication traffic.

The high precision achieved in the classification of the maps which were validated spatially and thematically (through an index elaborated in this study, Wda-Weed detection Accuracy) with truth-field ...

In employing computer science, Weng took the ACC/AHA guidelines and compared them to four machine-learning algorithms: random forest, logistic regression, gradient boosting, and neural networks.