Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …

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 …

In this study, a municipality-based model was developed for predicting the Lower heating
value (LHV) of waste, which is capable of overcoming the demerit of generalised model in …

Municipal solid waste has been recently considered as one of the important renewable
energy resources. For municipal solid waste-based energy systems, municipal solid waste …

The purpose of this study is to outline the major trends and challenges that will shape the
future of waste management for the next few decades in major metropolitan cities like …

The freshwater is a challenge as the world's population grows. The largest sources of water
in this planet are brackish water and sea water. So, water purification process is very …

Abstract Background Solid Waste Management (SWM) in metropolises with systematic
methods and following environmental issues, is one of the most important subjects in the …

Abstract Artificial Neural Networks (ANNs), a method of artificial intelligence method, provide
effective predictive models for complex processes. Three independent ANN models trained …

A waste management strategy needs accurate data on the generation rates of construction
and demolition waste (CDW). The objective of this study is to provide a robust methodology …

The chief purpose of designing the wastewater treatment plant (WWTP) is to provide a
suitable system which is capable of eliminating the excessive impurities or pollutants found …