Ensemble Learning is a technique in machine learning that combines the predictions of multiple models to improve the overall performance and reduce the likelihood of overfitting. It leverages the ...

EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...

New research shows full-sensor fusion and ensemble learning significantly improve AGB estimates across growth stages. Researchers have combined UAV-based LiDAR, thermal, and multispectral data with ...