Purdue University College of Agriculture

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

Enhancing Breast Cancer Diagnosis: A Random Forest-Based Approach to Machine Learning

Abstract: Breast cancer is most lethal cancers in women globally making it important to design effective and precise diagnostic tools. The old ways of diagnosing breast cancer include mammography as ...
Frontiers

A Machine Learning and Remote Sensing Approach for Accurate Forest Sub-compartment Level Vegetation Cover Change Monitoring

1 Beijing Forestry University, Beijing, China 2 Ecological Environment Monitoring Center, Sichuan Forestry and Grassland Survey and Planning Institute, CHENGDU, China The final, formatted version of ...
Scientific Research Publishing

Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32.

ABSTRACT: Accurate land cover classification is essential for environmental monitoring, urban planning, and resource management. Conventional classifiers trained on raw spectral bands are often ...
IEEE

Machine Learning-Based Flood Risk Prediction: An Analysis of the Effectiveness of Random Forest Models

Abstract: Floods are becoming one of the most catastrophic natural catastrophes in the globe due to the frequency of severe weather occurrences. This work suggests a flood risk prediction approach ...