Sentence examples for implementation of a threshold from inspiring English sources
In an ANOVA across the four time points, with an additional implementation of a threshold of 20% minimum variation in β, only 3,086 CpG sites (0.6% of the total) showed significant (p < 0.05) time-dependent variation.
The reduction of data is illustrated in Table 3: after the application of the SIEVE program, a number of signals in the order of some ten thousands was obtained for most of the active fractions, while after implementation of a threshold of an intensity ratio of >100 between active fractions and control fractions to a few 100 peaks remained for all active fractions.
Therefore, the implementation of an empirical threshold to determine significance was not theoretically valid [ 33, 34].
Section 5 deals with the implementation of a new thresholding and labelling methods.
We present the design and implementation of a high-damage threshold spectral shaping filter that can be used to counteract gain narrowing in broadband laser amplifier systems.
An implementation of a time-varying detection threshold could make this algorithm capable of using the seasonal ILI pattern more efficiently.
We should note here that this implementation of a single and unvarying threshold to determine whether partitioning is required may not be enough to capture cases where random graphs (or partitions obtained by chance) have a modularity higher than 0.3.
The current implementation of the threshold algorithm uses md5, which has a 128-bit key [ 3].
The main constraint on specialization in the current implementation of the threshold model is the need for non-random variation, where a part of the colony must have θ1 >> θ2, and the other part θ1 << θ2.
Furthermore, another possible advantage of the methodology presented here is an explicit account to avoid over-partitioning, through implementation of the threshold value.
The first implementation of a global optimization technique, namely Threshold Accepting of Fitzenberger and Winker (1998, 2007), is challenged by the Genetic Algorithm (GA) in this paper.
