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The froth can be adopted as an indicator of the performance of flotation processes. The study of froth image structure would enable us to establish a number of parameters from which could convey the froth characteristics. ...

Equation of state and artificial neural network to predict the thermodynamic properties of pure and mixture of liquid alkali metals

Type: Journal Paper

Author : Fakhri Yousefi; Hajir Karimi; Zahra Gandomkar

Year: 2014

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Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis

Type: Journal Paper

Author : Fakhri Yousefi; Hajir Karimi; Somayeh Mohammadiyan

Year: 2015

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Application of artificial neural network and PCA to predict the thermal conductivities of nanofluids

Type: Journal Paper

Author : Fakhri Yousefi; Somayeh Mohammadiyan; Hajir Karimi

Year: 2015

Modeling viscosity of nanofluids using diffusional neural networks

Type: Journal Paper

Author : Fakhri Yousefi; Hajir Karimi; Mohammad Mehdi Papari

Year: 2012

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Correlation of viscosity in nanofluids using genetic algorithm-neural network (GA-NN)

Type: Journal Paper

Author : Hajir Karimi; Fakheri Yousefi; Mahmood Reza Rahimi

Year: 2011

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Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks

Application of artificial neural network–genetic algorithm (ANN–GA) to correlation of density in nanofluids

Pressure-volume-temperature and excess molar volume prediction of amorphous and crystallizable polymer blends by equation of state

Prediction of Volumetric Properties (p-v-T) of Natural Gas Mixtures Using Extended Tao-Mason Equation of State

Image Analysis Technique as a Tool for Extracting Features from the Copper Surface Froth in the Flotation Process

Equation of state and artificial neural network to predict the thermodynamic properties of pure and mixture of liquid alkali metals

Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis

Application of artificial neural network and PCA to predict the thermal conductivities of nanofluids

Modeling viscosity of nanofluids using diffusional neural networks

Correlation of viscosity in nanofluids using genetic algorithm-neural network (GA-NN)

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Correlation of Vapour Liquid Equilibria of Binary Mixtures Using Artificial Neural Networks

Application of artificial neural network–genetic algorithm (ANN–GA) to correlation of density in nanofluids

Pressure-volume-temperature and excess molar volume prediction of amorphous and crystallizable polymer blends by equation of state

Prediction of Volumetric Properties (p-v-T) of Natural Gas Mixtures Using Extended Tao-Mason Equation of State

Image Analysis Technique as a Tool for Extracting Features from the Copper Surface Froth in the Flotation Process

Equation of state and artificial neural network to predict the thermodynamic properties of pure and mixture of liquid alkali metals

Viscosity of carbon nanotube suspension using artificial neural networks with principal component analysis

Application of artificial neural network and PCA to predict the thermal conductivities of nanofluids

Modeling viscosity of nanofluids using diffusional neural networks

Correlation of viscosity in nanofluids using genetic algorithm-neural network (GA-NN)