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These tools\nsupport workflows for forest structure analysis, wildfire\nbehavior modeling, and fuel complexity assessment. Deep\nlearning segmentation relies on the PointNeXt architecture\ndescribed by Qian et al. (2022)\n, while ground classification\nutilizes the Cloth Simulation Filter algorithm by Zhang et al.\n(2016) .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "URL": "https://github.com/venkatasivanaga/FuelDeep3D", "BugReports": "https://github.com/venkatasivanaga/FuelDeep3D/issues", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Repository": "https://venkatasivanaga.r-universe.dev", "Date/Publication": "2026-03-04 22:17:47 UTC", "RemoteUrl": "https://github.com/venkatasivanaga/FuelDeep3D", "RemoteRef": "HEAD", "RemoteSha": "98f29d11f572b1f1e53d1fde1aca604ed78bba11", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 09:23:29 UTC", "User": "root" }, "Author": "Venkata Siva Reddy Naga [aut, cre],\nAlexander John Gaskins [aut],\nCarlos Alberto Silva [aut]", "Maintainer": "Venkata Siva Reddy Naga ", "MD5sum": "c396392758b621988ee941b8523c50b1", "_user": "venkatasivanaga", "_type": "src", "_file": "FuelDeep3D_0.1.1.tar.gz", "_fileid": 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