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
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