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Overall we have to repeat again that although it is obvious that applying feature selection method improves the accuracy and also particularly it reduces the processing time and memory usage, but finding the best combination of feature selection and classification method might vary in each case.
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This implies that the microwave-assisted hydrothermal approach is a fast and simple approach for preparing the hydrochar as it reduced the processing time from hours to few minutes.
Besides, it reduces the time of processing to about 80% to reach the optimum with the same accuracy.
It specifies the beginning and the end of utterance and reduces the processing cost of feature extraction and decoding blocks.
It uses the QT-based data structure to find the closest pair, which also reduces the processing time.
However, complete substitution favours crystallisation and reduces the processing window.
The proposed model reduces the processing time and improves analysis of gene expression data.
Since intein-mediated cleavage does not require further downstream processing, it reduces the costs from expensive protease enzymes.
As the homomorphic ability of encryption makes it possible for local network gateways to perform an operation on cipher-text without decryption, it reduces the authentication cost (in terms of processing power) while maintaining the secrecy of data.
For instance, high selective product recovery would be generally preferred for further downstream processing as it reduces the impurities in chromatography system and also easier for centrifugation and dead end filtration as the cells are still intact but at a cost of lower specific protein release.
REM-based Doppler spread compensation algorithms have significant advantages, e.g., it can reduce the processing load resulting from repetitive and complicated channel estimations along the high-speed rail.
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