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 …

Water pollution occurs mainly due to inorganic and organic pollutants, such as nutrients,
heavy metals and persistent organic pollutants. For the modeling and optimization of …

Artificial neural networks (ANNs) have been applied for modeling biomass gasification
process in fluidized bed reactors. Two architectures of ANNs models are presented; one for …

This paper proposes a hybrid intelligent model for runoff prediction. The proposed model is
a combination of data preprocessing methods, genetic algorithms and levenberg–marquardt …

Biodiesel is considered as an alternative source of energy obtained from renewable
materials. This paper presents models based on artificial neural networks (ANNs) to predict …

Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …

The main purpose of this work was to assess the removal of the pesticide malathion from
aqueous solution in batch mode using the electrocoagulation process. The effects of …

Gas permeability through synthesized polydimethylsiloxane (PDMS)/zeolite 4A mixed matrix
membranes (MMMs) were investigated with the aid of artificial neural network (ANN) …

Steam turbines have many applications in various industrial sectors and by common
experience blade failures are the main origin of operational breakdowns in these machines …

Artificial neural networks (ANNs), extensively used in different fields, have been applied for
modeling biomass gasification processes in fluidized bed reactors. Two ANN models are …