Correlations between the thermal and mechanical parameters are investigated by suitable models based on the microstructural features revealed by electron microscopy.
Nevertheless, it is intellectually challenging, since for all the complex TEs (metalogical definitions), Leśniewski demanded logical independence of all the various clauses, to be shown by suitable models.
Also using a new statistical theory of the Support Vector Machine (SVM), strength parameters were predicted by developing a suitable model and as a result, the application of soft computing in structural engineering has been successfully presented in this research paper.
Therefore, it seems that greater effort should be invested in improving the robustness of models for climate change impact studies, especially by developing more suitable model structures and proposing calibration procedures that increase their robustness.
This special issue describes several approach to leverage the management of changes by means of suitable models, techniques, and tools for coping with changes that accompany the natural evolution of software.
We investigate, by constructing suitable models, the manner in which attention and executive function are observed to interact, including some aspects of the influence of value/emotion on this interaction.
In distribution-based methods, the bulk of observations is estimated robustly by a suitable model distribution.
The HKY + I + G model with 6 substitution categories was determined to be the most suitable model by Modeltest and was used for all subsequent nucleotide analyses.
The L-moments approach was firstly introduced by Hosking (1990) which is the suitable statistical modeling and facilitates the estimation process of probability distribution and frequency analysis.
