Litcius/Paper detail

Integrated machine learning models for prediction of multiphase products from hydrothermal treatment of biomass

Tossapon Katongtung, Somboon Sukpancharoen, Masato Katahira, Apisan Phienluphon, Nakorn Tippayawong

2026Renewable Energy10 citationsDOI

Topics & Concepts

InterpretabilityMachine learningBiomass (ecology)HyperparameterRaw materialRaw dataProcess (computing)Process engineeringBoosting (machine learning)Computer scienceArtificial intelligencePredictive modellingWork (physics)Feature (linguistics)Curse of dimensionalityProduct (mathematics)Hyperparameter optimizationEnvironmental scienceGridBiochemical engineeringGradient boostingVariable (mathematics)Data miningKey (lock)BioenergyData-drivenHydrothermal circulationExperimental dataFeature selectionProcess modelingLasso (programming language)Decision treeNaive Bayes classifierThermochemical Biomass Conversion ProcessesSubcritical and Supercritical Water ProcessesCatalysis and Hydrodesulfurization Studies