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This implementation enables real-time execution and its application to monitor smart grids.
This implementation enables a performance not achievable by computers or FPGAs (at least using a low-cost device).
This implementation enables us to make valuable visual reasoning to search whether the Chinese regions are capable of receiving a production of French vineyards.
This implementation enables extraction of groups of Minimotifs which share common values for any subset or combinations of subsets for the 22 different attributes in the model (Table 1).
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Although not used in this study, the mothur implementation enables users to use multiple processors to accelerate the alignment.
The implementation enables sensor to provide online data to consumers.
The implementation enables the visualization of results and the analysis of solutions.
The current implementation enables correct prediction of failure mode and location.
Furthermore, the algorithm's DB implementation enables time sensitive burned area mapping to support operational air quality forecasting.
The obtained relation between model and implementation enables a buffer capacity analysis on the model while assuring the throughput of the final implementation.
Unfortunately, it was not possible to obtain ROC curve and AUC for SMO algorithm, because used WEKA implementation enables only on the binary classification.
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