Moving forests to save them: Here are the risks and rewards of assisted tree migration

Relocating trees to protect forests struggling with climate change seems promising, but the extreme complexity of ecosystems ...
KREM

Before the Flame: How Washington state is reshaping its forests to survive the next wildfire

RONALD, Wash. — The sound of wildfire prevention isn't a fire engine siren. It's chainsaws, wood chippers and heavy machinery chewing through brush. Across Kittitas County, crews are removing smaller ...
IEEE

Detection of Disk Filtration Attacks Using Random Forest (RF) Algorithm Comparing with ML Algorithms for Improving Accuracy

The purpose of the research is to compare Random Forest (RF) Algorithm methods to Extra Trees (ET) Classification algorithms for detecting the Disk Filtration attacks in air gapped computers.
IEEE

Machine Learning Approaches for Loan Default Prediction: A Comparative Analysis of Random Forest and KNN Algorithms

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...