Biochar is an ample source of organic carbon prepared by the thermal breakdown of
biomass. Lignocellulosic biomass is a promising precursor for biochar production, and has …

There is a growing interest in developing “circular economy” with the major goal of
eliminating waste by appropriate planning. Biochar has recently gained popularity in the …

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

Artificial neural network (ANN) is one kind of artificial intelligence in the computing system
that aims to process information as the way neurons in the human brain. In this study, the …

The global shift towards renewable and sustainable energy sources demands a more
efficient conversion of agricultural biomass into sustainable energy. The integration of …

Biowaste remediation and valorization for environmental sustainability focuses on
prevention rather than cleanup of waste generation by applying the fundamental recovery …

This study investigates the potential of spent coffee ground biochar (SCGB) as a sustainable
and cost-effective adsorbent for the removal of methylene blue (MB), a hazardous dye …

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

The artificial neural network (ANN) in artificial intelligence (AI) is a computational model that
portrays how nerve cells (neurons) work in the human brain. Meanwhile, specific chemical …

Over the past few years, considerable attention has been devoted to enhancing the
torrefaction process, exploring diverse additives to improve either the process itself or the …