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Rayanchu et al.[8] propose CLONE, a suit of algorithms for NC that take into account losses on wireless links.
In addition, the system can use a suit of algorithms that are individually optimised for each domain to achieve high recommendation accuracy.
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Such type of images is quite different from electronically captured ones and is not suited well for evaluation of algorithms that should be operated in an "on-line" application.
The combination of a simple matrix language, interactive prompt, automatic memory management, and on-the-fly compilation make MATLAB well suited to rapid prototyping of algorithms and exploring data.
Simulated data are well suited to study the properties of algorithms since the correct answer is known.
In this paper, we present the visual language Vibes that both is naturally suited for specifying behavioral requirements of algorithms, and enables the creation of highly evolvable specifications.
Thus, the databases are very well suited for evaluating the robustness of algorithms with respect to a broad range of variations, often occurring in real-world settings.
Although temporal logic languages are frequently used for this purpose, they are neither commonly considered to have sufficient usability, nor always naturally suited for specifying behavioral requirements of algorithms.
In order to demonstrate the optimization performance, the proposed ARFO is benchmarked against several state-of-the-art reference algorithms on a suit of CEC 2013 and CEC 2014 functions.
The advantage of algorithms such as ours is that programs could adapt the cut-off to suit their needs.
The proposed algorithm has been extensively compared with five state-of-the-art automatic clustering techniques over a suit of datasets.
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