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FIFO dispatching method yields the worst performance.
As shown in Table 6, the maximum p% pooling method yields the best performance (0.5858).
The MMSE estimation method yields the best performance, and LS yields the worst.
The solution from each method yields the deployment plan with optimal provisioning costs.
The proposed method yields the least prediction error compared with other objective methodologies.
The method yields the total metabolic active cell and CFU of individual cells present in the mixed cultures.
This method yields the results of 99.90, 99.80 and 100%% for classification accuracy, sensitivity and specificity, respectively.
Experimental results show that the proposed method yields the state-of-the-art performance for several datasets.
It is observed that the subcarrier-based method yields the worst performance, while the tile-based method performs the best.
Without clinical trials, it is not possible to accurately conclude which osteotomy method yields the best bone regenerate.
At a low SNR of -15 dB, the proposed method yields the highest SNR improvement in decibels.
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