Advances in Intelligent Systems, Computer Science and Digital Economics II

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.

List of contents

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.

Product details

• Assisted by: Matthew He (Editor), Zhengbing Hu (Editor), Serge Petoukhov (Editor), Sergey Petoukhov (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 17.10.2021
• EAN: 9783030804770
• ISBN: 978-3-0-3080477-0
• No. of pages: 186
• Dimensions: 155 mm x 10 mm x 235 mm
• Illustrations: VI, 186 p. 109 illus., 76 illus. in color.
• Series: Advances in Intelligent Systems and Computing
• Subject: Natural sciences, medicine, IT, technology > Technology > General, dictionaries