Moreover, another example of a popular multi-stage application that is typically run on clouds is MapReduce [7], which is a programming model (proposed by Google) for simplifying the processing of very large and complex data sets in a parallel manner.
This method has the potential to advance the existing AFM tip-based nanomanufacturing technique of the formation these complex structures by increasing the removal speed, simplifying the processing procedure and achieving the large-scale nanofabrication.
As such, this nanomachining method has the potential to advance the AFM tip-based nanomanufacturing by increasing the removal speed, simplifying the processing procedure, and achieving the large-scale nanofabrication.
In this work, the previously reported VFF mechanisms [25, 26] are employed to the diffusion RLS algorithms for distributed signal processing applications, by simplifying the inverse relation between the forgetting factor and the adaptation component to provide lower computational complexity.
Then, we design our iterative post-processing method by simplifying the complex formulation resulting from using the method of images.
While such stimulation from a fixed point in space ignores spatial processing normally performed by LMCs [11], it benefits the following analysis by simplifying the R-LMC-R system into a single processing unit that lacks lateral communication from the neighboring systems.
By simplifying the network edge and by centralizing baseband processing, the C-RAN architecture is expected to provide significant benefits in energy efficiency, load balancing, and interference management capabilities (see review in [2]).
Data processing frameworks can help mitigate the complexity by simplifying the pipeline execution.
The purpose was to make the cognitive processing of interest (i.e., cognitive manipulation) more prominent by simplifying the task, allowing us to better capture the neural signals.
By simplifying the above relation, (11).
