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It was concluded that the IA method is able to successfully improve the accuracy of prediction and has a comprehensive range of application.
This investigation introduces an inverse analysis (IA) method that utilizes short-term creep measurements under certain conditions to predict long-term results under the same conditions.
In order to avoid these problems, we have developed an IA method using a volatile buffer that can be removed from depleted samples by lyophilization.
Based on the IA method, the scaling of immiscible three-phase displacement in a heterogeneous medium needs matching of eight dimensionless groups along with four heterogeneity scaling groups.
To solve the nonconvex EE optimization problem, we first eliminate the interference among users for ID via the maximal signal to interference plus noise ratio (Max-SINR) IA method, which yields a two-dimensional EE optimization problem.
The proposed IA method was applied to seven different prediction models and the experimental results of six specimens (from three different studies) were chosen to verify the reliability of this method.
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FFEs should become a supplement to traditional impact assessments (IA) of conservation policies, as it avoids many challenges that traditional IA methods face.
The versatility of IA methods for microstructural quantification has been investigated for diverse coatings deposited with distinct spray processes and material feedstock characteristics.
The IA methods put forth have been successfully applied to a variety of thermally sprayed coatings; materials of interest in this study being produced from partially stabilized zirconia (PSZ, ZrO2+8% Y2O3) and alumina ceramics.
Therefore, in the context of heterogeneous networks, IA methods have been studied to handle the problems caused by the coexistence of macro and small base stations (BSs).
For example, to evaluate the practical performance of spatial IA methods, at least six nodes (three transmitters and three receivers) with two antennas each are needed to implement the simplest multiple-input multiple-output (MIMO) interference channel.
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