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Unlocking the Potential of Machine Learning in Enhancing Quantum Chemical Calculations for Infrared Spectral Prediction

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Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression

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Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection

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Using adjacency matrix to explore remarkable associations in big and small mineral data

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BauXAIte: An Explainable AI Framework for UAV Multisensor-Driven Bauxite Stockpile Mapping and Classification

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