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This algorithm is designed to optimise the process so that it maximise the chances of friending a target given a limited budget of invitations.
This algorithm is designed to efficiently optimize the simulated MCA parameter space.
This algorithm is designed to achieve computationally efficient pre-selection of lesion candidate locations in the reconstructed breast volume.
This algorithm is designed to utilize the capability of the DRPE to reversibly spread the energy of the watermarking information in both the space and spatial frequency domains.
Based on our experience with NMR spectra of complex mixtures, this algorithm is designed to automatically differentiate signal points from baseline points.
This algorithm is designed to give a fuzzy partition and a vector of medoids for each fuzzy cluster as well as to learn a relevance weight for each dissimilarity matrix by optimizing an objective function.
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This algorithm was designed to avoid the weaknesses of the spatial and temporal data fusion approach (STDFA) method, including the sensor difference and spatial variability.
As explained in the Introduction, this algorithm was designed to work on-line following the capture stage, so a PC is not a good choice.
In order to liberate every user from MUI, the relative matrices in this algorithm are designed to satisfy ZF criterion: mathbf{R}mathbf{H}mathbf{F}{mathbf{C}}_{{mathbf{B}}^{-1}}=mathbf{W} (11 where ( mathbf{W}=mathrm{diag}left(sqrt{P/left tau {l}_1right)}{mathbf{I}}_{l_1},cdots, sqrt{P/left tau {l}_Kright)}{mathbf{I}}_{l_K}right) ).
This algorithm was designed to enable an accurate anatomical registration of both modalities.
This algorithm was designed to screen deep sequencing reads that have been aligned to genome for model properties consistent with Drosha/Dicer substrate processing.
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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