Feasibility of use limited data to establish a relationship between chemical composition and the enzymatic glucose yield using machine learning

This publication has 72 references indexed in Scilit:

• Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques
  Earth Science Informatics, 2025
• Progresses and Challenges of Machine Learning Approaches in Thermochemical Processes for Bioenergy: A Review
  Korean Journal of Chemical Engineering, 2024
• Elucidating the Correlation of Lignocellulosic Compositions and Physicochemical Alterations in Oil Palm (Elaeis guineensis) Biomass on Enzymatic Saccharification Yield
  BioEnergy Research, 2024
• Application of machine learning in prediction of Pb2+ adsorption of biochar prepared by tube furnace and fluidized bed
  Environmental Science and Pollution Research, 2024
• Enhanced efficiency of enzymatic hydrolysis of wheat straw via freeze–thaw pretreatment
  Environmental Science and Pollution Research, 2022
• High-dimensional Bayesian optimization using low-dimensional feature spaces
  Machine Learning, 2020
• Green methods of lignocellulose pretreatment for biorefinery development
  Applied Microbiology and Biotechnology, 2016
• Optimization by response surface methodology of processing conditions for the ionic liquid pretreatment of energy cane bagasse
  Journal of Chemical Technology & Biotechnology, 2013
• Enhanced stability and activity of cellulase in an ionic liquid and the effect of pretreatment on cellulose hydrolysis
  Biotechnology and Bioengineering, 2011
• Pretreatment of rapeseed straw by soaking in aqueous ammonia
  Bioprocess and Biosystems Engineering, 2011