A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...

Abstract: Visualizing the qualitative outcomes of clustering algorithms in high-dimensional spaces remains a persistent challenge in data analysis and machine learning. Traditional dimensionality ...

The Hubble Space Telescope has made multiple observations of exoplanet WASP-121 b, also known as Tylos. The extreme temperature changes the massive 'hot Jupiter'-type planet may make it rain iron at ...

The pace of AI continues to be staggering. From simple pattern recognition systems to large language models (LLMs), and now as we move into the physical AI reality, the power of these systems ...

Abstract: The widely used clustering method known as Density-Based Spatial Clustering of Applications with Noise (DBSCAN) combines densely packed data points and recognises sparse areas as outliers.

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...