IEEE

Machine Learning-Based Algorithm for One-Dimensional Wave Spectrum Retrieval from SAR Imagery as Passing Oceanic Eddy

The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...

The World Is Running Out of Sand—And Thieves Are Willing to Kill for It

A global shortage of construction-grade sand is reshaping coastlines, destabilizing ecosystems, and putting activists in the ...
Factinate on MSN

Scientists who modeled the lost canals of China's Liangzhu city confirmed a 5,000-year-old hydraulic system that rewrites early Chinese engineering

Water leaves a memory in the land. Even after thousands of years, it lingers as faint ridges and subtle curves that only ...
IEEE

Change Detection in Remote Sensing Optical Images Using a SPSA-Based Improved Random Forest Algorithm

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...
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 ...
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 ...