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This paper presents a novel approach to optimizing its power by exploiting the value locality in data transfers between processors.
Numerical results show that metamodelling is not always an efficient and reliable approach to optimizing computationally intensive problems.
Moreover, we also introduce a suboptimal design approach to optimizing the upper bound of the mean-square error of parameter estimation.
These results demonstrate that non-metal element doping is an effective approach to optimizing the electronic configuration, changing valence states of ions, and thus enhancing activities of perovskite electrocatalysts.
This paper presents a model-driven engineering approach to optimizing the configuration, energy consumption, and operating cost of cloud auto-scaling infrastructure to create greener computing environments that reduce emissions resulting from superfluous idle resources.
Over the past decade, crystal facet engineering (CFE) has initiated a flourishing interest in this field, as one commonly employed approach to optimizing the reactivity of various photocatalysts, including the famous TiO2 and other materials (e.g., Cu2O, BiVO4, and BiOCl).
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Multi-objective optimization was performed using Taguchi based utility approach to optimize MRR and Ra.
It offers a simple and systematic approach to optimize design for performance, quality and cost.
A promising approach to optimize WSN operation is to consider different relevancies for the transmitted data.
Alternating least square (ALS) is a popular approach to optimize weighted matrix factorization [10].
This gives an approach to optimize the structure of the La2(Ce0.3Zr0.7)2O7-3 wt%Y2O3 coatings.
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