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Here we review current approaches, with an emphasis on information theory, sequential data processing, and optimality arguments.
Sequential data processing steps included: slice-timing adjustment, realignment and correction for head-motion, spatial normalization to the standard rat brain atlas (Paxinos and Watson, 2004), smoothing with an isotropic Gaussian kernel (FWHM = 1 mm), detrending and filtering (0.01 0.1 Hz).
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The level-set smoothing method is a set of sequential data-processing schemes that consists of first generating the signed distance function for the given microstructure using the level-set method, followed by smoothing via diffusion.
Recurrent neural networks RNNs are very powerful for processing sequential data [18].
The API supports the processing of sequential data streams.
The control of LIR for sequential image acquisition and the subsequent data processing such as averaging and offset subtraction are performed by the Digital Electronics (DE), which is an onboard controller for four cameras including LIR (Nakamura et al., 2007).
RNNs are used to process sequential data.
To resolve the multi-target tracking problem efficiently in the case of low detection probability and to reduce data processing delay, we propose a sequential measurement-driven Bayesian filter.
Nevertheless, these efforts have had difficulties in adequately exploiting parallel data processing because they are designed to process the input data using a sequential protocol and thus suffer from the resulting increase in processing time.
From a technical perspective, simultaneous imaging allows for a number of advanced data processing steps that are not possible in sequential PET/MRI (and PET/CT imaging).
Depending upon the particular application, architecture modifications, such as those described above, could provide great potential for enhanced, further processing, as well as addressing episodic or sequential data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com