The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...
Fall fun reaches a whole new level when kids turn a pile of fallen leaves into their own creative challenge. In this playful clip, siblings proudly show off a trick they’ve been practicing—combining ...
Abstract: Existing fall detection based on radar point cloud faces the challenges of low resolution point cloud estimation and sparsity, which seriously restricts the system detection performance.
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
RFX-Fuse (Random Forests X [X=compression] — Forest Unified Learning and Similarity Engine) delivers Breiman and Cutler's complete vision for Random Forests as a Forests Unified Machine Learning and ...
ANCHORAGE, Alaska (KTUU/Gray News) - A 15-year-old boy from Alaska broke his back in a snowmachine crash that resulted in a 30-foot fall. His family is now telling his story and raising awareness.
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