At the beginning of processing, fuzzifier, as one of main components of the fuzzy inference system convert observed data to acceptable form of fuzzy membership functions (MFs) and then fuzzifier outputs are used as fuzzy inference productive inputs (Tay and Zhang 2000; Gharibi et al. 2012).
First, our filter can be applied at the beginning of processing without assessing the data, and thus, can help in the initial steps of picking particles and finding initial alignment and orientation parameters.
The results showed especially a significant effect of temporal strains on performance and a strong increase in mean error rate at the very beginning of the processing of the second task.
At the beginning of image processing, bar image is recovered from the background for better outcome of defect segmentation [5, 44, 58, 59].
This is due to edge effects (due to the iterative operations using Equation 32) at the beginning of the processing window and vanishes quickly.
Those filters are calculated beforehand (before the beginning of the processing) and used in the beamforming preprocessing step (cf. Section 3).
In a dataflow with pipeline processing, like the one considered, it is natural that the QoD of previous or upstream steps influence the executions of current and downstream steps in the pipeline, since the inputted data is derived from upstream, i.e., from the beginning of the processing.
In our strategy, to begin with a bag-of-word approach applied to Chinese, as similar to those proposed for languages (e.g., English) written in Latin-based scripts, a Chinese Word Segmentation (CWS) procedure would be needed at the very beginning of the processing.
At the beginning of data processing all samples received a unique three digit number, and during further analyses this number was used without referring to the patient's name.
Up to this point, we had described the different forms of APP, α-secretase, and β-secretase in the diverse compartments, prior to the beginning of APP processing.
It should be noted that we decided to withdraw all variants occurring only once in the data set at the very beginning of our processing mainly for practical reasons.
