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 ...
IEEE

Alpine Wetlands Information Extraction Using Optimized Multifeatures and Random Forest Algorithm

Abstract: Alpine wetlands are a special ecosystem that is extremely sensitive to global climate change. The unique geographical location and climatic conditions of the Yellow-River-Source National ...
Frontiers

Deep exploration and precise identification of key risk factors for diabetic peripheral neuropathy using the random forest algorithm

Background: Diabetic peripheral neuropathy (DPN) is a prevalent and highly disabling complication of diabetes mellitus, associated with markedly increased rates of disability and mortality. Timely ...
IEEE

A Comparative Analysis of Decision Trees, Random Forests, and XGBoost for Enhanced Crop Recommendation

Abstract: Agriculture is crucial to meeting food demand, and crop choices must improve productivity and sustainability. Machine Learning (ML) algorithms have been useful in this setting for ...