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Bayesian Optimization-Guided Machine Learning Approaches for Bio-Oil Yield Prediction from Lignocellulosic Biomass Pyrolysis

https://doi.org/10.2139/ssrn.5263327
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Bayesian Optimization Algorithm
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Machine learning-aided prediction of nitrogen heterocycles in bio-oil from the pyrolysis of biomass
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Effect of temperature on oil quality obtained through pyrolysis of sugarcane bagasse
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Machine learning prediction of bio-oil characteristics quantitatively relating to biomass compositions and pyrolysis conditions
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Machine learning to predict biochar and bio-oil yields from co-pyrolysis of biomass and plastics
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Comparison of artificial neural network and response surface methodology for evaluation of the predictive capability of bio-oil yield from pyrolysis of Mangifera indica wood sawdust
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Super learner approach to predict total organic carbon using stacking machine learning models based on well logs
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Study on biomass and polymer catalytic co-pyrolysis product characteristics using machine learning and shapley additive explanations (SHAP)
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Progress on the lignocellulosic biomass pyrolysis for biofuel production toward environmental sustainability
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Two-step machine learning-aided two-stage hydrothermal liquefaction of biomass for bio-oil upgrading to lower nitrogen content: Experimental verification and parameter optimization
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Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems
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An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis
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Co-Pyrolysis of biomass and plastic waste: Process prediction and optimization based on Artificial Intelligence and response optimizer surrogate model
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Characterizing sludge pyrolysis by machine learning: Towards sustainable bioenergy production from wastes
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Prediction of bio-oil yield by machine learning model based on 'enhanced data' training
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Prediction of Bio-oil Yield and Hydrogen Contents Based on Machine Learning Method: Effect of Biomass Compositions and Pyrolysis Conditions
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A Review of Recent Advances in Biomass Pyrolysis
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Review on Biomass Pyrolysis with a Focus on Bio-Oil Upgrading Techniques
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Agricultural Biomass Waste to Biochar: A Review on Biochar Applications Using Machine Learning Approach and Circular Economy
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Effect of the Particle Size of Iron Ore on the Pyrolysis Kinetic Behaviour of Coal-Iron Ore Briquettes
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An Overview of Recent Developments in Biomass Pyrolysis Technologies
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