Abstract: Point cloud filtering serves as a core step in point cloud data processing, which is critical for constructing high-precision Digital Elevation Models (DEMs) and conducting terrain ...

Abstract: Semantic segmentation is one of the crucial tasks in the field of computer vision, aiming to label each pixel according to its class. Most recently, several semantic segmentation methods, ...

Introduction: Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as ...

Around 90 small earthquakes have struck near San Ramon in the East Bay this month. It’s at least the sixth time a series of tiny quakes has lit up that area since 1970, including the most recent swarm ...

Advanced K-Means clustering system for customer analytics and segmentation using machine learning. Includes RFM analysis, business insights, and actionable marketing strategies. - ...

Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between cells.

Based on data from its call center, a warranty company thought its market was predominantly female. However, when that company commissioned marketing research, it found that its customer base was ...

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...