Throughout the history, the whole world have been concerned with the supply of energy and
fuel. Today, technological advancements and the depletion of fossil fuel reserves have …

Abstract Machine learning (ML) is one type of artificial intelligence (AI) commonly used for
computer programming. Multivariate adaptive regression splines (MARS) and artificial …

Artificial intelligence (AI) has become the future trend for prediction after the data is provided
to machine learning. This study uses data analysis to optimize the experiment, find the best …

This review deals with the simulation and optimization of the dry-and wet-torrefaction
processes of lignocellulosic biomass. The torrefaction pretreatment regards the production …

Many energy-intensive processes are employed to enhance biomass fuel properties to
overcome the difficulties in utilizing biomass as fuel. Therefore, energy conservation during …

Torrefaction is a thermal pretreatment of biomass at mild temperatures to upgrade the fuel
properties. The torrefied biomass consists of residual chemical structures after partial …

A random forest (RF) model integrated with feature reduction was implemented to predict the
properties of torrefied biomass based on feedstock and torrefaction conditions. Four features …

A support vector machine (SVM) model with RBF kernel function combined with sparrow
search algorithm (SSA) optimization was developed to predict the HHV and nitrogen content …

Thermal treatments are largely used for valorization of biomass resources. However,
thorough knowledge on gradual degradation of chemical and structural components of …

Differences in the pyrolysis characteristics of leaves of sweet cherry tree (Prunus avium L.)
under rain-shelter cultivation (RS) or under open-field cultivation (CK) were analysed using …