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Both ANN and GP approach perform well in terms of accuracy of estimation as evident from values of various statistical parameters employed.
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The proposed approach performs well on the videos mentioned above.
As the above experiments figure out, the proposed approach performs well in a speech classification system.
Our results demonstrate that the proposed approach performs well in image classification problems.
Even if, we have 4 different classes, our approach performs well.
In practice, the proposed approach performs well together with other four methods.
Simulated results show the new approach performs well and ensures conformity with observation.
The results show that this approach performs well when compared with traditional models and established research.
Experimental results in both indoor and outdoor scenes demonstrate that our approach performs well.
The main objective of this test is to show that the proposed approach performs well with real images.
Unlike the WCP optimization design, this approach performs well with the capability of passband stability control of array response.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com