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The proposed algorithm is validated on benchmark functions in terms of four indicators: GD, ER, SPR, and TI.
The algorithm is validated on a recently published Boolean network model of segment polarity development in Drosophila melanogaster.
The new algorithm is validated on a real dataset from Hanoi Medical University, Vietnam including 56 dental images.
The algorithm is validated on benchmark problems and is used for kinematic studies of the Cadarache von Kármán Sodium 2 (VKS2) experimental fluid dynamo.
The algorithm is validated on synthetic data and experimental transcriptomic measurements from Human Mammary Epithelial Cell line.
The algorithm is validated on a small-scale simulated case study in both a low noise and a realistic noise setting.
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The proposed algorithm was validated on a 5 kVA prototype of a series compensator.
First, the newly developed algorithm was validated on computer-generated models.
In addition to this, the algorithm was validated on a separate credit scoring dataset, which contained 7190 credit scoring samples.
The accuracy and reliability of the algorithm was validated on both simulated and real images that reflected the characteristics of a range of biological samples.
In this section, a segmentation algorithm is developed using the relative attenuation coefficients measured in Section 3. The algorithm was validated on a specimen that was not included in the set used to measure the coefficients.
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CEO of Professional Science Editing for Scientists @ prosciediting.com