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Bayesian-optimized random forest prediction of key properties of micro-/nanofibrillated cellulose from different woody and non-woody feedstocks

Giovana Signori-Iamin, Alexandre F. Santos, André Mazega, Marcos L. Corazza, Roberto Aguado, Marc Delgado‐Aguilar

2023Industrial Crops and Products14 citationsDOI

Topics & Concepts

NanocelluloseHyperparameterRandom forestPulp (tooth)Yield (engineering)Raw materialEnvironmental scienceCellulosePulp and paper industryMathematicsStatisticsComputer scienceMachine learningPattern recognition (psychology)Biological systemArtificial intelligenceMaterials scienceChemistryComposite materialChemical engineeringEngineeringOrganic chemistryMedicineBiologyPathologyAdvanced Cellulose Research StudiesNanocomposite Films for Food PackagingBiofuel production and bioconversion
Bayesian-optimized random forest prediction of key properties of micro-/nanofibrillated cellulose from different woody and non-woody feedstocks | Litcius