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WhatsApp: +86 18221755073Enhancing Rock Fragmentation Assessment in Mining Blasting through Machine Learning Algorithms: An Effective Approach June 2023 DOI: 10.20944/preprints202306.0891.v1
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WhatsApp: +86 18221755073This paper creates natural language processing techniques and text markup parsing tools to automatically extract synthesis information and trends from zeolite journal articles and engineer a data set of germanium-containing zeolites to test the accuracy of the extracted data and to discover potential opportunities for zeolitic morphologies. Zeolites are porous, …
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WhatsApp: +86 18221755073A machine learning classifier is developed to predict the resultant zeolite given a synthesis route with >70% accuracy, and an aggregation approach is introduced to extend SHAP to all building units and demonstrate applications of this approach to phase-selective and intergrowth synthesis. Zeolites, nanoporous aluminosilicates with well-defined porous structures, are versatile …
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