Biochar made from agricultural waste is gaining more attention in energy field due to its
sustainability, low cost, apart from having high supercapacitance performance. Also, it has a …

Burning crop residues release large amounts of greenhouse gases, particulate matter,
carbon monoxide, etc. which influence a lot of environmental issues that are hazardous to all …

Accurate PM 2.5 concentrations predicting is critical for public health and wellness as well
as pollution control. However, traditional methods are difficult to accurately predict PM 2.5 …

The viability and the relative merits of competing biomass and waste gasification schemes
depends on a complex mix of interacting factors. Conventional analytical methods that are …

Accurate prediction of air pollution is a difficult problem to be solved in atmospheric
environment research. An Artificial Neural Network (ANN) is exploited to predict hourly PM2 …

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 …

Heteroatoms-rich activated carbon (AC) can effectively promote the pseudo-capacitance of
AC-based electrodes used in supercapacitors. The well-known microstructural properties of …

The valorization and conversion of biomass into various value-added products and
bioenergy play an important role in the realization of sustainable circular bioeconomy and …

The growing demand for alternative clean energy sources and environmental crises are
causing great concern for humankind. Researchers have devoted effort to finding cheap …

Hydrogen (H 2) is a clean fuel that can be produced from various resources including
biomass. Optimization of H 2 production from catalytic steam reforming of toluene using …