Artificial Intelligence Algorithms and Applications : 11th International Symposium, ISICA 2019, Guangzhou, China, November 16–17, 2019, Revised Selected Papers / edited by Kangshun Li, Wei Li, Hui Wang, Yong Liu

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Communications in Computer and Information Science ; 1205 | Springer eBook CollectionPublisher: Singapore : Springer Singapore, 2020Publisher: Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XIV, 811 p. 420 illus., 232 illus. in color.)ISBN:

9789811555770

Subject(s):

Additional physical formats: 9789811555763 | 9789811555787 | Erscheint auch als: 9789811555763 Druck-Ausgabe | Erscheint auch als: 9789811555787 Druck-AusgabeDOI: DOI: 10.1007/978-981-15-5577-0Online resources:

Summary: New Frontier in Evolutionary Algorithms -- Evolutionary Multi-objective and Dynamic Optimization -- Intelligent Multimedia Systems -- Virtualization and AI Applications -- Smart Scheduling -- Intelligent Control -- Big Data and Cloud Computing -- Statistical Learning.Summary: This book constitutes the thoroughly refereed proceedings of the 11th International Symposium on Intelligence Computation and Applications, ISICA 2019, held in Guangzhou, China, in November 2019. The 65 papers presented were carefully reviewed and selected from the total of 112 submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems; virtualization and AI applications; smart scheduling; intelligent control; big data and cloud computing; statistical learning.PPN: PPN: 1699184240Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

Holdings ( 0 )

No physical items for this record