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The proposed method is compared with existing methods using well-known benchmark problems.
Compared with existing methods allowing single mode (electrophysiology or electrochemistry) recording.
GAHap is also compared with existing methods to show its ability in generating highly reliable solutions.
These schemes are simple to implement, robust, accurate and fast when compared with existing methods.
The performances of the proposed genetic operators are compared with existing methods.
We demonstrate that compared with existing methods, SC2P provides substantial improvement in sensitivity without sacrificing the control of false discovery, as well as better robustness.
Compared with existing methods, this method is simple, effective, and easy to be understood and applied by control engineers.
Validation of the method has been demonostrated comparing with existing methods and results available in the literature.
The new predictor equations were then compared with existing methods in order to assess their validity and applicability.
In tests on mice, the best of these delivery agents were 10 times as effective at delivering RNA to treat a respiratory ailment, compared with existing methods that deliver the RNA directly to the lungs without it being encapsulated.
Experimental results show that our algorithm can obtain better bar code image quality compared with existing methods.
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