Abstract: Motivated by depression's significant impact on global health, this work proposes MultiDepNet, a novel multi-modal interpretable depression detection system integrating visual, physiological ...

Abstract: Rapid autonomous traversal of unstructured terrain is essential for scenarios such as disaster response, search and rescue, and planetary exploration. As a vehicle navigates at the limit of ...

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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 ...