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Since all of the trackers and our approach involve randomness in either features extracting process or samples selection process, we run them five times and obtain the average results for each video.
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Pharmacies located in minority (≤70% minority residents) and white (≥70% white residents) zip code areas were randomly selected by using a 2-stage sampling selection process (response rate, 80%).
Key informants (national focal person for IMCI, National Programme Officers – NPOs -, IMCI course directors or facilitators and IMCI trainees) were purposively selected, guided by standardized criteria, using snowball sampling as the sample selection process moved from national (focal persons/NPOs) to district level (IMCI trainees).
A sample selection process, using a modified version of principal component analysis, is employed to select labeled source domain samples such that the source and target marginal distributions are equalized.
A descriptive-correlational research design and a multi-stage sampling method were applied in the sample selection process.
An extensive sample selection process was carried out in order to identify organizations that had adopted JIT manufacturing techniques as well as EDI systems.
The details of the sample selection process are given in Sections 5.1 and 6.1.
A detailed description of our sample selection process is presented in Table 2.
Data analysis involves 390 SMEs taken from random sample selection process.
Therefore, in this paper, a new sample selection scheme is proposed to enhance the sample selection process in boosting, described as follows.
This section describes the research method, beginning with a discussion of the sample selection process and descriptive statistics for the sample.
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CEO of Professional Science Editing for Scientists @ prosciediting.com