IEEE

Early Prediction of Alzheimer's Dementia Using Random Forest Machine Learning Algorithm: A Data-Driven Approach

Abstract: Alzheimer's dementia is liberal neurological ailment categorized by memory loss, cerebral failure, and it is the utmost communal form of dementia and typically affects older adults. Every ...

AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
GitHub

Quantile-Based Prediction using Regression Trees and Forests

Quantile regression forest consistently achieves the lowest pinball loss and effect of split criterion on QRF is minimal. This shows the advantage instability and generalization over single-tree ...
IEEE

Random Forest-Based Vehicle-to-Grid Energy Management for Improved Microgrid Performance

Abstract: This paper presents a novel approach to optimizing vehicle-to-grid (V2G) enhanced energy management in microgrid systems through machine learning-based forecasting. The proposed system ...