Transactions on Computational Science XXXIV

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Lecture Notes in Computer Science 11820 – Transactions on Computational Science

ISBN: 3662599570
ISBN 13: 9783662599570
Herausgeber: Marina L Gavrilova/C J Kenneth Tan
Verlag: Springer Verlag GmbH
Umfang: xi, 137 S., 43 s/w Illustr., 32 farbige Illustr., 137 p. 75 illus., 32 illus. in color.
Erscheinungsdatum: 05.09.2019
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 34th issue of the Transactions on Computational Science, contains seven in-depth papers focusing on research on data analytics using machine learning and pattern recognition, with applications in wireless networks, databases, and remotely sensed data.

Artikelnummer: 7840575 Kategorie:

Beschreibung

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 34th issue of the Transactions on Computational Science, contains seven in-depth papers focusing on research on data analytics using machine learning and pattern recognition, with applications in wireless networks, databases, and remotely sensed data. 

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E-Mail: juergen.hartmann@springer.com

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