Example Output: Canopy Height Change Analysis on the Kaibab National Forest, northern Arizona (2012–2019) The figure above illustrates canopy height model change along the Kaibab National Forest in ...
Abstract: This research aims to classify Diabetes Mellitus (DM) using the Random Forest (RF) model by exploring feature selection techniques and hyperparameter tuning. DM is a metabolic disorder in ...
Abstract: This research studies the detection of epileptic seizures by the use of electroencephalogram (EEG) signals, a critical task in medical diagnosis that is greatly affected by machine learning ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
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