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Entities in such dynamic environments may have different security needs from e-health systems raising the challenge of trust computations regarding security.
Thus, two feature categories were calculated: the border based features, which are limited on computations regarding the lesion border and the color based features, which refer to measurements in pixels inside the lesion border [ 15, 16].
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This analysis is constructive in the sense that the assumptions can be verified efficiently and the results of computation, regarded at first only as candidates for approximate solutions, simultaneously open a way to prove the solvability in a rigorous manner.
Considering the presented analyses, basic rules for effective computation strategy regarding the multicore computations are suggested.
For low hub-to-tip ratio configurations, the model departs from three-dimensional computations, both regarding the blade loading and the acoustic radiation.
A more detailed explanation regarding computation of [ z ℓ ] is provided in the following sections.
Integrating these different aspects brings up multi-faceted challenges regarding computation of trust, which are as follows. .
Integrating these different aspects brings up multi-faceted challenges regarding computation of trust, which are as follows.
While hyperspectral data are rich in information, processing the hyperspectral data poses several challenges regarding computation speed requirements, information redundancy removal, relevant information identification, and modeling accuracy.
It turns out that many important questions regarding computation and learning in biological neural systems cannot be adequately addressed in traditional neural network models.
Regarding computation time and resources, we argue that the main difference between the approaches lie in the item similarity calculation, since the size of the representations is significantly different.
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