Meanwhile, the content analysis was utilized to analyze the qualitative data collected from interviews.
The wavelet analysis was utilized to capture multiscale data characteristics, while a real neural network (RNN) was utilized to forecast crude oil prices at different scales.
In order to confirm the modification process, the FTIR spectra analysis was utilized, as shown in Fig. 3b.
The 3D-motif analysis was utilized to identify the significant features.
Furthermore, the cross wavelet analysis was utilized to reveal the correlation between dry and wet conditions and sunspot activities.
The cross wavelet analysis was utilized to examine the correlations between hydrological and meteorological droughts in the Wei River Basin (WRB), a typical arid and semi-arid region in China.
Instead of calculating the accuracy, ROC analysis was utilized to evaluate the detection performance.
The Directional Information Transfer Index (DITI) was used to describe the similarity between rainfall gaging stations, and the fuzzy cluster analysis was utilized to classify rainfall gaging stations into distribution zones with the proximity relation defined by the DITI.
To obtain a functional categorization of the DEGs, Gene Ontology (GO) analysis was utilized to classify the DEGs.
To better determine whether these factors could predict compliance ahead of time, before the individual completed the intervention, a discriminant analysis was utilized, entering education, health, and self-efficacy as predictors.
