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Titlebook: Advances in Intelligent Systems, Computer Science and Digital Economics II; Zhengbing Hu,Sergey Petoukhov,Matthew He Conference proceeding

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发表于 2025-3-21 17:20:27 | 显示全部楼层 |阅读模式
期刊全称Advances in Intelligent Systems, Computer Science and Digital Economics II
影响因子2023Zhengbing Hu,Sergey Petoukhov,Matthew He
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发行地址Presents advances in the development of intelligent systems, digital economics, and computer science.Includes the proceedings of the Second International Symposium on Computer Science, Digital Economy
学科分类Advances in Intelligent Systems and Computing
图书封面Titlebook: Advances in Intelligent Systems, Computer Science and Digital Economics II;  Zhengbing Hu,Sergey Petoukhov,Matthew He Conference proceeding
影响因子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.
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书目名称Advances in Intelligent Systems, Computer Science and Digital Economics II影响因子(影响力)




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书目名称Advances in Intelligent Systems, Computer Science and Digital Economics II被引频次学科排名




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https://doi.org/10.1007/978-3-540-69852-4 using Machine Learning Methods due to their inability to add new classes. Supervised Learning methods are unable to classify samples that are not represented in train sequences. Unsupervised Learning methods require a significant amount of time to build a model, give relatively low results and the
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https://doi.org/10.1007/978-3-540-69852-4ing the transfer of multimedia data stream is a difficult task, especially when there are multiple simultaneous requests to the server. In this article, we propose an algorithm for optimizing the transmission of multimedia data flow over a network for multiple clients. Instead of a fixed bandwidth,
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Dark Age, Renaissance, and Decay,quently obtained. The quality of the models obtained on the basis of photogrammetry depends not only on the software used, but also on the shooting conditions, different number of images (number of cameras), settings, spatial orientation, etc. Manufacturers of photogrammetry software provide some ad
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https://doi.org/10.1007/978-3-540-69852-4 sensor, ADC and PF (Prony-Fourier) spectral analysis is proposed and tested. An original method for analyzing multidimensional time series of complex structure is proposed. The spectrum analyzer can be used for both monitoring and control of the treatment process in automated technological environm
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