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Published in 2020 at "Natural Hazards"
DOI: 10.1007/s11069-020-04067-9
Abstract: Abstract Many landslides occur in the Karun watershed in the Zagros Mountains. In the present study, we employed a novel comparative approach for spatial modeling of landslides given the high potential of landslides in the…
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Keywords:
text;
text anfis;
anfis;
anfis gwo ... See more keywords
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Published in 2020 at "Heliyon"
DOI: 10.1016/j.heliyon.2020.e04936
Abstract: The solvent diffusivity is considered as a key factor in the design of solvent assisted processes in the bitumen field. In this study, a novel Adaptive neuro-fuzzy interference system (ANFIS) is employed to evaluate the…
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Keywords:
diffusivity;
diffusivity light;
light hydrocarbons;
hybrid intelligence ... See more keywords
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Published in 2020 at "MethodsX"
DOI: 10.1016/j.mex.2020.101062
Abstract: In this paper, modeling was performed using the combination of the ANFIS method and PSO algorithm for the inflation rate in Iran. The data of this article were obtained from the Central Bank of the…
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Keywords:
inflation rate;
system;
rate modeling;
anfis pso ... See more keywords
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Published in 2018 at "Petroleum Science and Technology"
DOI: 10.1080/10916466.2018.1442852
Abstract: ABSTRACT The interfacial tension of hydrocarbons and brine is known as one of the important parameters which are measured in petroleum and petrochemical industries for example the interfacial tension has straight effect on trapping of…
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Keywords:
hydrocarbons brine;
interfacial tension;
tension hydrocarbons;
tension ... See more keywords
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Published in 2019 at "Materials"
DOI: 10.3390/ma12213628
Abstract: The main purpose of the present paper is to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) in predicting the thermophysical properties of Al2O3-MWCNT/thermal oil hybrid nanofluid through mixing using metaheuristic optimization techniques.…
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Keywords:
properties al2o3;
performance;
anfis pso;
predicting thermophysical ... See more keywords
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Published in 2019 at "Mathematics"
DOI: 10.3390/math7100965
Abstract: Accurate prediction of mercury content emitted from fossil-fueled power stations is of the utmost importance for environmental pollution assessment and hazard mitigation. In this paper, mercury content in the output gas of power stations’ boilers…
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Keywords:
flue;
model;
mercury content;
anfis pso ... See more keywords