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We should not see any contradiction or even tension in this double classification.
The results were analyzed by means of the analysis of variance of double classification.
In fact, a double classification is exploited in a primary fuzzy diagnosis, to ensure a satisfactory reliability.
In fact, the double classification is exploited in PFS, for a primary diagnosis, to ensure a satisfactory reliability.
Thus, the double classification, from signal representation and image representation, is exploited in PFS to ensure a satisfactory reliability for a computer-aided auditory diagnosis.
Primary Fuzzy System (PFS) The double classification, from signal representation and image representation is exploited in a Primary Fuzzy System (PFS) to ensure a satisfactory reliability of a Primary Diagnosis (PD).
Similar(47)
While CP(A) and AC(P) are statistically redundant when exact times are used, they are not fully redundant if based on discrete double-classification of data, as often provided in aggregated official statistics.
Fig. 4 a Double-moon classification problem.
The prototype and data set of the Double-moon classification problem are shown in Fig. 4a, b, respectively, where r = 10, ω = 6 and d = − 6.
To determine the optimal experimental conditions, variance analysis of double factors cross classification without repetition was performed.
Variance analysis of double factors cross classification without repetition was performed to obtain the optimal concentration and scavenging time.
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