A team of researchers recovered ancient human mitochondrial and nuclear DNA directly from a red-painted calcite crust on the ...

Google’s Willow quantum processor ran a specific algorithm 13,000 times faster than a classical supercomputer, according to ...

This study devises an innovative LiDAR point cloud down-sampling strategy that capitalizes on the properties of Fuzzy C Means (FCM) clustering membership functions in each dimension. Traditional ...

Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...

Abstract: Point cloud sampling aims to derive a sparse point cloud from a relatively dense point cloud, which is essential for efficient data transmission and storage. While existing deep sampling ...

Accurate forest volume estimation is crucial for sustainable forest management, but the most commonly used methods often rely on models that may not always be applicable across different tree species ...

Although inherently challenging, the quantification of vehicle emissions has evolved considerably in recent decades and now extends well beyond the original lab-based measurements. Here we’ll explain ...