Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...

Spain's forestry investments declined 22% from 2009 to 2022 Experts call for increased prevention spending and sustainable forest management Spain's forests grow 2.2% annually, adding fuel to ...

Input datasets (planted forest records, FSI, satellite imagery) must be preprocessed and clipped to AoI/MWS boundaries. Resolution standardized to 30m. Raster outputs must classify each pixel as ...

Background: Decisions surrounding involuntary psychiatric treatment orders often involve complex clinical, legal, and ethical considerations, especially when patients lack decisional capacity and ...

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

Abstract: The study aims to improve the accuracy of cyberbullying detection. Compared to the Random Forest classifier, utilize XGBoost to improve accuracy. In this study, two groups were compared. The ...

In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat 8 remote ...

In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

Planning Department, Usutu Forest, Bhunya, Eswatini. Figure 1. Study site Map. (A): Locality of Eswatini within the Southern African region. (B): Locality of the Usuthu Forest Plantations within ...