Sentence examples for applications of computation from inspiring English sources

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The prediction of toxicologic activity based on chemical structure (QSARs) was among the first applications of computation in toxicology.

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A field specialising in application of computation to biological problems has emerged, known as bioinformatics.

The topics covered are evolutionary learning; evolutionary optimisation; hybrid learning; adaptive systems; theoretical issues in evolutionary computation; and real-world applications of evolutionary computation techniques.

Olson, R. S. et al. in Applications of Evolutionary Computation (eds Squillero, G. & Burelli, P.) 123 137 (Lecture Notes in Computer Science, Vol. 9597, Springer International Publishing, Porto, 2016).

Next, a comprehensive review of the applications of evolutionary computation in structural design is provided and chronologically classified.

The main purpose of this paper is to examine some (potential) applications of quantum computation in AI and to review the interplay between quantum theory and AI.

In particular, most of the applications of Neural Computation techniques, considered here in a broad sense, focus on the prediction of a variety of wave energy parameters by means of Multilayer Perceptrons and, at a lesser extent, by Support Vector Machines, and Extreme Learning Machines.

Authors: Iba, Hitoshi, Aranha, Claus C. "Practical Applications of Evolutionary Computation to Financial Engineering" presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation.

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.

Because much of the previous research has focused on the sharing mechanism of GPUs among VMs, they cannot achieve enough performance for biological applications of which computation throughput is more crucial rather than sharing.

More recently, many techniques have been applied to further improve the efficacy of SF, such as including thermodynamic data [ 23, 24], including data derived from quantum chemical calculation [ 25, 26], application of modern computation technique and computational intelligence [ 27, 28], etc.

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