[Elsevier] Identifying factors influencing consumers’ intent to install mobile applications |
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Global climate change reshapes nanoparticles' fate: rethinking risks and opportunities for soil-plant health
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Coupling process-based models with machine learning for the prediction of soil carbon and nitrogen cycling
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Data-driven machine learning with SHAP for predicting multiple biochar properties from agricultural and forestry waste
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Data-driven machine learning with SHAP for predicting multiple biochar properties from agricultural and forestry waste
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Artificial neural network modeling for prediction and optimization of biochar yield and properties
