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In [8], Zheng et al. separated the low-frequency part of input image using guided filter, and experiments show that the results are better than those of using bilateral filter.
In this stage, the optimal value of the parameters should be provided to the neural network and the network employs a part of input data (75% in this study) for training.
Therefore, in using Plant-PLoc to conduct prediction, the accession number of a query protein would be indispensable as a part of input.
(1) In order to make the prediction engine able to use the advantage of the GO approach, the accession number for a query protein is required as a part of input; many proteins, such as synthetic and hypothetical proteins, or newly-discovered sequences without being deposited into databanks yet, do not have accession numbers, and hence cannot be treated with the GO approach.
We then propose an efficient method for pruning large part of input combinations.
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The principal reason why we have chosen hardware router as communication device is its ability to send parts of input image (interest zones) with variable sizes.
Intuitively, the two parts of input policy, namely, sensing probability and sub-channel symbol distribution (in (mathcal {X})), can be optimized independently.
Swapping the real and imaginary parts of input and output data of DFT, we can get the N-point Inverse Discrete Fourier Transform (IDFT) (Equation 3) of a sequence X K) scaled by N (Equation 4).
As a consequence, each block of threads stay persistent and can operate on more than one part of the input, when this input is larger than the grid of blocks of the kernel.
The second part of the input page has two input options for each of the three ID sets: a copy-and-paste input field and a file input field.
According to Yahoo! [15], when a mapping phase begins, any mapper (node) can process any input file or part of an input file.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com