Applications of machine learning in thermochemical conversion of biomass-A review
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …
produce alternative renewable fuel sources for future energy supply. However, these …
Overview of applications of near infrared (NIR) spectroscopy in wood science: recent advances and future prospects
MS Deepa, SR Shukla, BU Kelkar - Journal of the Indian Academy of …, 2024 - Springer
The present article gives an outline of various recent advances in the area of applications of
near infrared spectroscopy (NIRS) in developing the wood science and technology. The …
near infrared spectroscopy (NIRS) in developing the wood science and technology. The …
A chemistry-based explainable machine learning model based on NIR spectra for predicting wood properties and understanding wavelength selection
L Schimleck, S Ayanleye, S Avramidis… - Wood Material Science …, 2023 - Taylor & Francis
ABSTRACT A chemistry-based explainable machine learning (ML) approach was used to
predict wood properties using near infrared (NIR) spectral data collected from rough and …
predict wood properties using near infrared (NIR) spectral data collected from rough and …
Torrefaction of Bambara Groundnut Shell: experimental optimization and prediction of the energy conversion efficiency using statistical and machine learning …
KO Oladosu, SA Babalola, RK Ajao… - International Journal of …, 2024 - Taylor & Francis
Optimising input variables is a necessity for efficient waste-to-energy conversion. Using a
tubular furnace as the torrefaction medium, this study investigated the effects of four process …
tubular furnace as the torrefaction medium, this study investigated the effects of four process …