Bioenergy or green fuel has been considered the fuel of the future for being a type of
renewable energy that contributes to the preservation of the environment as it helps to …

To processing plant-wide data, it is not uncommon for there to be issues with sensors. Some
examples of these issues include sensor failures, sensor calibration difficulties, sensor …

In this study, modelling of Konya wastewater treatment plant was studied by using artificial
neural network with different architectures in Matlab software. All data were obtained from …

Wastewater is created by pharma firms and has become a huge worry for the ecosystem. ere
is a significant amount of toxins that are being dropped continuously from numerous …

This paper is concerned with the use of artificial neural network and multiple linear
regression (MLR) models for the prediction of three major water quality parameters in the …

In our study, we examined the annual carbon footprint and energy balance of a Hungarian
biogas power plant with a power output of 0.637 MW in 2013, with reference to the complete …

Significant changes in wastewater services are necessary for achieving the sustainable
development goals (SDGs), by utilizing resource recovery, recycle, and reuse in urban …

Membrane bioreactor (MBR) is relatively a new technology in wastewater treatment. It can
efficiently remove soluble and suspended organics. However, it may constantly encounter …

Worldwide methane production by anaerobic digestion (AD) from organic waste has been
expanded for greenhouse gas emission reduction by replacing fossil-fuel needs to facilitate …

Considering that awareness of the effects of changes in the important operating variables of
a wastewater treatment reactor is essential for its designing and maximizing efficiency, this …