Quasi Opportunistic Supercomputing for Geospatial Socially Networked Mobile Devices
Citations
3 citations
Cites background from "Quasi Opportunistic Supercomputing ..."
...Supporting IoT, this infrastructure runs applications that investigate information from gadgets and sensors keeping in mind the end goal to create noteworthy data utilized for services and choice making [17,18]....
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3 citations
Additional excerpts
...a shared subspace between different domains [3]....
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2 citations
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Cites methods from "Quasi Opportunistic Supercomputing ..."
...It is required to reduce the noises of the images with the additional requirement of image normalization, which is achieved, with the deployment of DPCA algorithm (Decomposable Pixel Component Analysis Algorithm) [7, 8]....
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Cites background or methods from "Quasi Opportunistic Supercomputing ..."
...We begin the modeling by studying the correlations between two or more neurons that belong to the same sets connected through a chain of networks [11-13]....
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...Initially, the WIE connections are meant to freeze at their random initial values which are depicted from uniform distribution, latter followed by normalization [13,14]....
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