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Applications to collisionless tearing and coalescence instabilities further demonstrate the usefulness of the algorithm.
The usefulness of the algorithm is illustrated by deconvolving optical pictures of the sky taken with astronomical telescopes.
The advantages and disadvantages of each dynamic monitoring technique are discussed and the usefulness of the algorithm is highlighted.
The usefulness of the algorithm is validated through its application to various simulated time histories from the hysteretic model.
We illustrate through an example the usefulness of the algorithm for allocating automatically different protocols within the same application system.
The numerical computations of the algorithm with the available problems in the literature indicate the usefulness of the algorithm.
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The results in this study emphasize the usefulness of this algorithm in applications requiring reduced implementation costs for which the LMF algorithm is too complex.
The applicability and usefulness of the proposed algorithm is demonstrated experimentally based on an actual case study, where the flexible algorithm is employed to predict customer satisfaction with a new product design in the freezer/refrigerator industry.
In order to study the usefulness of the proposed algorithm, the AIS-based results are compared with the obtained results by the genetic algorithm (GA) and particle swarm optimization (PSO).
To demonstrate the usefulness of the proposed algorithm, the academic departments of higher education were considered using actual engineering school data in Taiwan.
Simulation results show the usefulness of the proposed algorithm.
More suggestions(15)
convenience of the algorithm
purpose of the algorithm
feasibility of the algorithm
interest of the algorithm
value of the algorithm
suitability of the algorithm
significance of the algorithm
utility of the algorithm
advantage of the algorithm
usefulness of the voice
usefulness of the model
usefulness of the idea
usefulness of the combination
usefulness of the inventory
usefulness of the intervention
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