Ternary compound ontology matching for cognitive green computing-Reference-Cited by-同舟云学术

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Ternary compound ontology matching for cognitive green computing

Published:2021 Issue:4 Volume:18 Page:4860-4870
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Zheng Wei-Min, ,Chai Qing-Wei,Zhang Jie,Xue Xingsi, ,

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference35 articles.

1. D. S. Modha, R. Ananthanarayanan, S. K. Esser, A. Ndirango, A. J. Sherbondy, R. Singh, Cognitive computing, Commun. ACM, 54 (2011), 62–71.

2. P. Kurp, Green computing, Commun. ACM, 51 (2008), 11–13.

3. M. Chen, F. Herrera, K. Hwang, Cognitive computing: architecture, technologies and intelligent applications, IEEE Access, 6 (2018), 19774–19783.

4. S. Mirjalili, Genetic algorithm, in Evolutionary Algorithms and Neural Networks, Springer, 2019.

5. G. R. Harik, F. G. Lobo, D. E. Goldberg, The compact genetic algorithm, IEEE Trans. Evol. Comput., 3 (1999), 287–297.

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1. Reinforced MCTS for non-intrusive online load identification based on cognitive green computing in smart grid;Mathematical Biosciences and Engineering;2022

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