Abstract: This study introduces PicoSleepNet, an ultra-lightweight sleep stage classification method that utilizes a spiking neural network (SNN) with single-channel electroencephalogram (EEG) signals ...
This project analyzes historical stock correlations to identify stocks that can effectively diversify portfolio risk for investors holding NVIDIA (NVDA). Using 5 years of daily price data (2021-2026), ...
Abstract: Accurate identification and classification of agricultural fields is essential for analyzing crop growth, agricultural resource management, and supporting decision-making in precision ...
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