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Titlebook: Introduction to Geological Uncertainty Management in Reservoir Characterization and Optimization; Robust Optimization Reza Yousefzadeh,Ali

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Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhadein they can affect the diseased cells only. This chapter discusses the current treatments used against these protozoan parasites and also their shortcomings. Different types of nanoparticles have been designed to target the parasites such as lipid-based, metallic/inorganic and polymeric based nanop
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Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhades, which is attributed to greater conversion efficiency of CIGS solar cells. The preparation of ZnCdS thin films along with different Zn concentration (0.2, 0.3, 0.4, 0.5 wt%) by chemical bath deposition method has been elaborated. In this chapter, we have discussed different characteristics of ZnC
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Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhady, the genetic algorithm is used for both feature selection as well as weight tuning in the FLNN. An experimental study using benchmark problems is conducted to evaluate the efficacy of the modified FLNN. The empirical results indicate that even though the structure of the modified FLNN is simpler,
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Reza Yousefzadeh,Alireza Kazemi,Mohammad Ahmadi,Jebraeel Gholinezhadues to model and explore both the intricacies and dynamics of functional brain networks. Although unravelling the activity of the human brain remains circumscribed by technological and ethical constraints, complex network analysis of EEG data offers new ways to quantitatively characterize neuronal c
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Geological Uncertainty Quantification,tc. This limited knowledge leads to a significant extend of uncertainty that is common in reservoir modeling and characterization. This kind of uncertainty is known as the geological uncertainty since the uncertainty is present in geological parameters, such as permeability, porosity, fluid contacts
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Reducing the Geological Uncertainty by History Matching,ological realizations to the observed data (Oliver and Chen in Computational Geosciences. 15:185–221, 2010; Ghoniem et al. in Applied Mathematical Modelling. 8:282–287, 1984; Heidari et al. in Computers and Geosciences. 55:84–95, 2013;Zhang and Oliver in SPE Journal. 16:307–317, 2011). This kind of
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