
Advances in Intelligent Systems, Computer Science and Digital Economics II
Springer (Publisher)
Published on 24. June 2021
Book
Paperback/Softback
VI, 186 pages
978-3-030-80477-0 (ISBN)
Description
This book comprises high-quality refereed research papers presented at The Second International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2020), held in Moscow, Russia, on December 18-20, 2020, organized jointly by Moscow State Technical University and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and methodological approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and management.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
33 s/w Abbildungen, 76 farbige Abbildungen
VI, 186 p. 109 illus., 76 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
300 gr
ISBN-13
978-3-030-80477-0 (9783030804770)
DOI
10.1007/978-3-030-80478-7
Schweitzer Classification
Other editions
Additional editions

Zhengbing Hu | Sergey Petoukhov | Matthew He
Advances in Intelligent Systems, Computer Science and Digital Economics II
E-Book
06/2021
Springer
€96.29
Available for download
Content
On Mixed Forced and Self-oscillations with Delays in Elasticity and Friction.- An Extensible Network Traffic Classifier Based on Machine Learning Methods.- Intelligent Information Systems Based on Notional Models without Relationships.- Study of Properties of Growing Random Graphs with Neuron-like Structure.- Planning of Computational Experiments in Verification of Mathematical Models of Dynamic Machine Systems.- Optimization of Network Transmission of Multimedia Data Stream in a Cloud System.