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22 works

Work: Prediction of H <sub>2</sub> S adsorption capacity of biochar using rigorous machine learning frameworks

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  4. Estimation of adsorption capacity of CO2, CH4, and their binary mixtures in Quidam shale using LSSVM: Application in CO2 enhanced shale gas recovery and CO2 storage

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  5. Connectionist approaches for solubility prediction of n-alkanes in supercritical carbon dioxide

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  6. Optimization and prediction of biogas yield from pretreated Ulva Intestinalis Linnaeus applying statistical-based regression approach and machine learning algorithms

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  7. Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm

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