Advances in Intelligent Systems, Computer Science and Digital Economics II
Advances in Intelligent Systems, Computer Science and Digital Economics II
edited by Zhengbing Hu, Sergey Petoukhov, Matthew He.
- First edition 2021
- 1 recurso en línea (VI, 186 páginas) 109 ilustraciones, 76 ilustraciones a color
- Advances in Intelligent Systems and Computing 1402 2194-5365 Intelligent Technologies and Robotics (SpringerNature-42732) Intelligent Technologies and Robotics (R0) (SpringerNature-43728) .
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.
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.
9783030804787
10.1007/978-3-030-80478-7 doi
Inteligencia artificial
Informática
QA75.5 / 2021 EB
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.
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.
9783030804787
10.1007/978-3-030-80478-7 doi
Inteligencia artificial
Informática
QA75.5 / 2021 EB