Enhancement of quality and quantity of woody biomass produced in forests using machine learning algorithms

W Peng, OK Sadaghiani - Biomass and Bioenergy, 2023 - Elsevier
Forest is considered a significant source of woody biomass production. Sustainable
production of wood, lower emittance of CO2 from burning, and lower amount of sulfur and …

Comparison of Different Machine Learning Models for Modelling the Higher Heating Value of Biomass

I Brandić, L Pezo, N Bilandžija, A Peter, J Šurić, N Voća - Mathematics, 2023 - mdpi.com
The aim of this study was to investigate the potential of using structural analysis parameters
for estimating the higher heating value (HHV) of biomass by obtaining information on the …

Predictive modeling of higher heating value of biomass using ensemble machine learning approach

R Dubey, V Guruviah - Arabian Journal for Science and Engineering, 2023 - Springer
Higher heating value (HHV) of biochars serves as a critical and vital component for the
determination of biomass economy. The complex biomass structure with time-consuming …

Combination of integrated machine learning model frameworks and infrared spectroscopy towards fast and interpretable characterization of model pyrolysis oil

C Chen, R Liang, J Zhu, J Tao, X Lv, B Yan, Z Cheng… - Renewable Energy, 2024 - Elsevier
Abstract Model pyrolysis oil (bio-oil) is a promising bio-fuel with complex and unstable
contents, making its fast characterization an essential demand in industrial production. This …

Ensemble Approach for Capacitance Prediction of Heteroatom Doped Carbon Based Electrode Materials

R Dubey, V Guruviah, RP Dwivedi - 2023 - essuir.sumdu.edu.ua
An ensemble approach-based machine learning modeling is used in the current study for
unveiling the effect of various electrode parameters on the electrochemical performance of …