Automated Machine Learning-Aided Prediction and Interpretation of Gaseous By-Products from the Hydrothermal Liquefaction of Biomass
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Elsevier BV
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1. Prediction of hydrogen yield from supercritical gasification process of sewage sludge using machine learning and particle swarm hybrid strategy;M N Aslam Khan;Int. J. Hydrogen Energy,2024
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3. Automated machine learning-based models for predicting and evaluating antibiotic removal in constructed wetlands;H Bao;Bioresour. Technol,2023
4. Effects of reaction conditions on products and elements distribution via hydrothermal liquefaction of duckweed for wastewater treatment;G Chen;Bioresour. Technol,2020
5. Hydrothermal liquefaction of Elaeis guineensis trunks: Lessons learned from a case study in Guatemala;L Cutz;Ind. Crops Prod,2023
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