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In numerical analysis, because of the property of localization, wavelet based algorithms have become an important tools for solving ordinary and partial differential equations.
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Nature-based algorithms have become popular in recent fifteen years and have been widely applied in various fields of science and engineering, such as robot control, cluster analysis, controller design, dynamic optimization and image processing.
Recently, new modeling tools based on classification tree algorithms have become available [ 1, 2].
Google's algorithms have become increasingly sophisticated, evaluating queries based more on user-intent and less on the specific keywords that are used.
The truth is that the search algorithms have become so contextual, that rankings vary based on location, time of day, device, and your search history.
Deep Learning (DL) algorithms have become ubiquitous in data analytics.
Algorithms have become increasingly important in everyday life, in ways both visible and invisible.
Recently, single image haze removal algorithms have become very popular.
As processing power has gotten faster and cheaper, the algorithms have become more sophisticated.
The parallelization of algorithms has become mandatory to take advantage of modern computational architectures.
Its search methods, which form part of a secret algorithm, have become far more elaborate.
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