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The use of a complex network approach for the development of ecological restoration programmes
Adriana Luisa Gonçalves de Almeida
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Reinforcement learning-based pinning control for synchronization suppression in complex networks. [PDF]
Li K, Yang L, Guan C, Leng S.
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Study on the Stability of Complex Networks in the Stock Markets of Key Industries in China. [PDF]
Wang Z, Zhang G, Ma X, Wang R.
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Finding influential nodes in complex networks based on Kullback-Leibler model within the neighborhood. [PDF]
Wang G, Sun Z, Wang T, Li Y, Hu H.
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On the complexity of quantum link prediction in complex networks. [PDF]
Moutinho JP, Magano D, Coutinho B.
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NETWORK EDUCATIONAL AND METHODICAL COMPLEX FOR LEARNING UKRAINIAN AS A FOREIGN LANGUAGE
Lubov I. Mats'ko +1 more
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Control of Complex Dynamic Systems by Neural Networks
James C. Spall, J.A. Cristion
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2018
[Excerpt] In recent years, the emergence of a large amount of data dispersed in several types of databases enabled the extraction of information on a never seen scale. Complex networks allow the connection of a vast amount of scattered and unstructured data in order to understand relations, construct models for their interpretation, analyze structures,
Jing Liu +2 more
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[Excerpt] In recent years, the emergence of a large amount of data dispersed in several types of databases enabled the extraction of information on a never seen scale. Complex networks allow the connection of a vast amount of scattered and unstructured data in order to understand relations, construct models for their interpretation, analyze structures,
Jing Liu +2 more
+7 more sources
2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2020
The Internet, social networks, power grids, gene regulatory networks, neuronal systems, food webs, social systems, and networks emanating from augmented and virtual reality platforms are all examples of complex networks. Collection and analysis of data from these networks is essential for their understanding.
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The Internet, social networks, power grids, gene regulatory networks, neuronal systems, food webs, social systems, and networks emanating from augmented and virtual reality platforms are all examples of complex networks. Collection and analysis of data from these networks is essential for their understanding.
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