Comparison of classification accuracies under a nested cross-validation evaluation shows that with an exception all four models perform similarly on the evaluated datasets.
The recommendations for differential, integral experiments and recommendations on the evaluated data preparation are presented.
Furthermore, variation in slurry viscosity showed no significant effect on the evaluated properties compared to other parameters.
Two polymeric matrices are taken into account, vinylester and epoxy, to assess their influence on the evaluated parameters.
Based on the evaluated data, a correlation for a liquid sodium coolant is suggested, which will improve the accuracy of the subchannel analysis codes for the thermal-hydraulic design of an LMR.
Many aspects of the assessment process can have a significant impact on the evaluated collapse performance; this study focuses on methods of representing modeling parameter uncertainties in the collapse assessment process.
As the received signal fluctuations depend on the compound channel variations, a cost effective link design and power budget of fixed relaying systems based on the evaluated terrain dependent statistical properties are presented.
Results showed a high influence of date of sampling on the evaluated parameters and on the microbial status and activity, most likely due to variations in soil water content (SWC).
The results from the two case studies demonstrate that AAELM achieve a smaller reconstruction error, shorter detection delay, lower spillover and a higher distinguishability compared to AAKR and PCA on the evaluated datasets.
The influence of the residual stress on the evaluated hardness and modulus for zirconium nitride films has been investigated using nanoindentation experiments in this work, and a variety of indentation load displacement curves have been examined by analyzing the contribution of the residual stress to the indentation load.
Neither the 3.0 µm nor the 9.6 µm microspheres had any significant effect on the evaluated endpoints [145].
