In the Florida Everglades, an ecological disaster has been quietly unfolding for decades. Burmese pythons, released through the pet trade and accidental escapes, found an ecosystem with no defenses ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Pythons can tolerate saltwater and freshwater and have been observed swimming in Florida Bay and Biscayne Bay.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Abstract: Remote sensing (RS) scene classification (RSSC) is a prominent research topic in the RS community. Multilevel feature fusion is an important way of addressing RSSC, and many methods have ...

High up from the forest floor, birds flit from limb to limb and weave their homes from leafy foliage, seemingly safe from ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

Abstract: Fine-grained flower image classification (FGFIC) is challenging due to high similarities among species and variations within species, especially with limited training data. Existing genetic ...

Professional python hunters spotted something strange happening in a South Florida pond. They soon realized they might be the ...

If they reach the ecosystem's carrying capacity in the Everglades, the pythons will spread, and that likely means into ...

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