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

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 ...

Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...

Abstract: In LSM-based KV stores, typically deployed on systems with DRAM-SSD storage, compaction degrades write performance and SSD endurance due to significant write amplification. To address this ...

It was one Christmas visitor that didn’t overstay its welcome. A Burmese python that had been spotted in a Miami-Dade neighborhood was removed just days before Christmas after a resident out for a ...

In the vast digital landscape of information, from intricate design specifications to extensive patent literature and complex verification reports, extracting meaningful insights often feels like ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...

As large language models (LLMs) continue to improve at writing code, a key challenge has emerged: enabling them to generate complex, high-quality training data that actually reflects real-world ...

Given climate change, there is an urgent need to conserve natural populations of forest trees and associated ecosystems. In contrast to a growing body of literature on genomic offsets and related ...