Derivation of Kinetic Parameters and Lignocellulosic Composition From Thermogram of Biomass Pyrolysis Using Convolutional Neural Network

Documenti analoghi

• Nanoparticle‐Assisted Bioethanol Production From Various Lignocellulosic Biomass
  di: Anju Singh, et al.
  Pubblicazione: (2025)
• Pyrolysis of Onion Peel Waste: Investigation of Comprehensive Pyrolysis Index, Reaction Mechanism, Kinetic, and Thermodynamic Properties Using TGA Analysis
  di: Tesfa Nega Gesese, et al.
  Pubblicazione: (2026)
• Using Artificial Neural Networks for Classification of Composition and Biomass Species for Energy Based on Thermogravimetric Data
  di: Borja Velázquez-Martí, et al.
  Pubblicazione: (2025)
• Lipopeptide Biosurfactants Enhanced Biohydrogen Evolution from Lignocellulose Biomass and Shaped the Microbial Community and Diversity
  di: Irfan Ali Phulpoto, et al.
  Pubblicazione: (2024)
• Novel Biofuels Derivation and Characterisation From Macadamia Integrifolia , Undaria Pinnatifida and Tree Mulch via Advanced Pyrolysis
  di: Md Nurun Nabi, et al.
  Pubblicazione: (2025)