State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

A Velidandi, PK Gandam, ML Chinta… - Journal of Energy …, 2023 - Elsevier
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

A Velidandi, PK Gandam, ML Chinta… - Journal of Energy …, 2023 - pure.sruc.ac.uk
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

A Velidandi, P Kumar Gandam… - Journal of Energy …, 2023 - ui.adsabs.harvard.edu
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …

[HTML][HTML] State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

A Velidandi, PK Gandam, ML Chinta… - Journal of Energy …, 2023 - jenergychem.com
State-of-the-art and future directions of machine learning for biomass characterization and for
sustainable biorefinery Journal of Energy Chemistry Home About the Journal About Journal …

[HTML][HTML] State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

A Velidandi, PK Gandam, ML Chinta… - Journal of Energy …, 2023 - jenergychem.com
State-of-the-art and future directions of machine learning for biomass characterization and for
sustainable biorefinery Journal of Energy Chemistry Home About the Journal About Journal …