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This application demonstrates that the waste produced by microfluidic applications could be potentially scavenged to produce electrical energy.
A numerical application demonstrates that the new BCM considerably outperforms the traditional BCM both in terms of accuracy and stability.
This application demonstrates that the method improves the accuracy in cross-validation to an error of 7.2% for the total energy consumption, whereas the standard static RSM leads to an error of 35.9% (26.8% with interactions).
This EEG seizure application demonstrates that the time-frequency coherence is an appropriate tool to study the phase coupling between different signals recorded from different spatially separated electrodes.
The response rate of 43% of all Swiss hospitals in the first application demonstrates that the acceptance of the monitoring instrument was good, as participation was voluntary.
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The results of this application demonstrate that the proposed methodology works well for the multi-step ahead wind speed and power forecasting.
Both the numerical simulation and the practical application demonstrate that the proposed frequency co-integration technique can effectively eliminate the influence of the changing environmental temperature and identify the structural damage accurately.
A case of application demonstrated that the proposed decision method and procedures can become a scientific foundation for formulating guidelines to select the most suitable cutting fluid for implementing CP strategy in the granite processing organizations.
The results of the example of application demonstrate that the optimization algorithm provide the best solutions when the optimization problem is formulated and solved considering full flexibility in the implementation of testing and maintenance activities taking part of such an integrated RAM model.
Results of engineering application demonstrate that the developed test platform can provide a real-time operation environment, which can effectively compare and analyze the validity and practicability of these transient stability detection technologies.
The simulation studies and the real data application demonstrated that the proposed method performed better than the sample mean and the SAM t statistics in estimating the gene expression levels as well as in detecting differentially expressed genes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com