A new study combines Random Forest prediction, linear programming optimization and blockchain transaction recording to ...
A machine learning framework combining a small experimental dataset with 300 VAE-generated synthetic mixes predicts the ...
Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...
Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...
A machine learning project for predicting next-day reservoir storage and identifying potential drought conditions at Karnataka's Krishna Raja Sagara (KRS) Dam using historical reservoir data.
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