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Best estimation rates of 92.55% and 92.3% were achieved in training and testing the classifier with 8 clusters in order to identify the leaves infected with powdery mildew.
The design decouples the system's adaptation and control loops to allow for fast estimation rates, while guaranteeing bounded deviation from a nonadaptive reference system.
In Figure 6c, we can notice that 100% successful estimation rates were achieved for all tested scan pairs when K p ≥ 1, 000.
Best correct estimation rates of 69%and80%0% were achieved (on the second day post-inoculation) for pre-symptomatic appearance detection of powdery mildew and gray mold diseases, respectively.
In addition, the best estimation rates of 97.5% and 92.59% were achieved in training and testing the classifier with 4 clusters to identify the gray mold disease on flowers.
In practice, the LCP measure corresponds to the QLCP measure with λ = 0. From Table 3, we observe that our proposed QLCP measure led to higher successful estimation rates and more accurate transformations than the LCP one.
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Similarly, for [10, 12], the estimation rate was assumed based on their average estimation error rate.
The experiments focused on three main aspects: robustness (successful estimation rate), accuracy (median estimation error), and efficiency (median estimation time), respectively.
The estimation rate increases to about 96.1%, as the SNR increases to 15 dB. Figure 10 Percentage of pitch range estimation error for different SNR levels.
The channel variation on each subcarrier is assumed to be relatively slow as compared to the channel estimation rate performed by the BS.
Final error estimation rate as computed by phred/phrap/consed was less than 0.04 errors per 10 Kbp.
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CEO of Professional Science Editing for Scientists @ prosciediting.com