Machine Learning and Intelligent Communications : 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020 : proceedings / Mingxiang Guan, Zhenyu Na (eds.).
2021
Q325.5
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Title
Machine Learning and Intelligent Communications : 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020 : proceedings / Mingxiang Guan, Zhenyu Na (eds.).
Meeting Name
ISBN
9783030667856 (electronic bk.)
3030667855 (electronic bk.)
9783030667849
3030667847
3030667855 (electronic bk.)
9783030667849
3030667847
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (xvi, 536 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-030-66785-6 doi
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020, held in Shenzhen, China, in September 2020. Due to COVID-19 pandemic the conference was held virtually. The 55 revised full papers were carefully selected from 133 submissions. The papers are organized thematically in intelligent resource (spectrum, power) allocation schemes; applications of neural network and deep learning; decentralized learning for wireless communication systems; intelligent antennas design and dynamic configuration; intelligent communications; intelligent positioning and navigation systems; smart unmanned vehicular technology; intelligent space and terrestrial integrated networks; machine learning algorithm and Intelligent networks.
Note
International conference proceedings.
Includes author index.
Includes author index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 10, 2021).
Added Author
Series
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 342.
Available in Other Form
3030667847
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Record Appears in
Table of Contents
Intelligent resource allocation schemes
Applications of neural network and deep learning
Decentralized learning for wireless communication systems
Intelligent antennas design and dynamic configuration
Intelligent communications
Intelligent positioning and navigation systems
Smart unmanned vehicular technology
Intelligent space and terrestrial integrated networks
Machine learning algorithm and Intelligent networks.
Applications of neural network and deep learning
Decentralized learning for wireless communication systems
Intelligent antennas design and dynamic configuration
Intelligent communications
Intelligent positioning and navigation systems
Smart unmanned vehicular technology
Intelligent space and terrestrial integrated networks
Machine learning algorithm and Intelligent networks.