Sentence examples for computation powers from inspiring English sources

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Importantly this threat is of great concern for companies or individuals within or outside of the cloud, given that the computation powers or amenities of the cloud could be leveraged for targets beyond the CSP's infrastructure.

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The question has received replies from the continuous developments of theoretical mathematicians and the parallel increase of computer computation power, so that curvilinear models [ 13, 36] are no more a problem also with personal computers [ 3, 17, 40- 42].

Therefore, the cloud-enable distributed computation and super powerful computation power can offer a good solution to this field.

Cloud computing provides massive computation power and storage capacity which enable users to deploy applications without infrastructure investment.

This approach efficiently uses computation power by balancing computer performance and running time.

Given the increase in computation power using cluster computing during recent years, the ability to split certain calculations over different computers is a valuable aid in analyzing large datasets, such as the one studied in this work.

DDS has also been used in [15] to manage the interaction between high computation power nodes and ARM-based embedded computers.

In addition to using metaheuristics to improve the performance of the docking prediction algorithm as we mentioned in Section 1, another way is to enhance the computation power of hardware, such as parallel computing.

The network architecture is applied to a crossbar switch problem and results of computer simulations are presented and used to illustrate the computation power of the network architecture.

"A tidal wave of computation power was about to break and inundate everything in science and much elsewhere, and things would never be the same afterwards," Mr. Bigelow wrote in a short history of the project published in 1980.

"We discovered the key to unlocking the design principle for how hippocampal neurons function with low energy but high computation power," said Terry Sejnowski, Salk professor and co-senior author of the paper, which was published in eLife.

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