Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

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 ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

How much fresh water is in the United States? It's a tough question, since most of the water is underground, accessible at varying depths. In previous ...

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

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

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 ...

Researchers at Beijing Normal University used advanced machine learning and satellite imagery to map forest management ...

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 ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...