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These methods use fast methods for solving the differential equation which the kernel satisfies, and the number of operations needed to evaluate the integrals is essentially equal to the number of operations needed to solve the differential equation on a regular rectangular grid.
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It is more economic to compute the response of linear systems with Fourier methods using fast Fourier transform algorithms than with step-by-step numerical integration methods.
The developed sarcomere length estimation procedure has superior computational efficiency and estimation accuracy compared with the conventional ACF and spectral analysis-based methods using fast Fourier transform.
Therefore, in the last years, a considerable number of detection methods using faster molecular tools, mainly based on PCR techniques, have been proposed [ 16, 17, 21– 23].
We describe an approach to evaluate Δhf0(Tm) and implement this method using fast scanning calorimetry (FSC).
Moreover, we also propose a fast alignment method using fast rotational matching in real space.
We further detect the rigid transform invariant center of mass of the target complex and propose an improved fast alignment method using fast rotational matching in real space.
Here we will highlight a few methods that use fast algorithms for efficient computation of kernels.
Another possibility to further increase the speed of POTION is to use fast methods to detect groups that are likely to be time consuming (such as alignment length for phylogenetic tree reconstruction) in order to allocate more processors to these groups in the case of parallelized third-party software available for a given step.
The other approach which is considered in this article, is to use fast greedy methods such as OMP which iteratively detect and estimate the location and value of the channel taps.
A method that using fast region-based convolutional neural networks (Rcnn) convolutional architecture for fast feature embedding (Caffe) to get deep learning of the massive transmission tower image, extract the image characteristics of the tower, train the tower model, and quickly recognize transmission tower image to generate power lines is proposed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com