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Fog computing is designed to complement cloud computing, paving the way for a novel, enriched architecture that can benefit from and include both edge(fog) and cloud resources.
Moreover, inspired by the fact that the iterations are completely independent of each other, a scheme of multiple worker based parallel computing is designed to improve the loop speed by distributing iterations to the MATLAB workers simultaneously.
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Moreover, since there are massive independent approximation processes in the polynomial approximation-based approach, a distributed computing framework is designed to carry out the computation for this method.
The search technique is based on evolutionary computing and is designed to be efficient.
Next, a computing method is designed to produce a sustainable technology choice.
Since this task is computing intensive, EDGAR is designed to be executed in computing clusters.
The system combines optical sensing, digital image processing and computing techniques and is designed to measure most physical parameters of a flame.
It's developed by IBM Watson, the Jeopardy-winning "cognitive computing" service and is designed to keep learning more about the store's customers.
The sensor for capacitance computed tomography (CT) is designed to visualize the powder concentration in the process of mixing air and FCC catalysts in a vertical pipeline.
Although we are years away from exploiting the full abilities of quantum computing, all of this is designed to advance the field to get to a point some time in the future when we have a 50-100 qubit system.
Since the group is quite large (it has elements), we use for computations the software GAP (The GAP Group, 2013 ▶), which is designed to compute properties of finite groups.
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