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Machine Learning and Intelligent Communications [electronic resource] : 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 342Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XVI, 536 p. 263 illus., 219 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030667856
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004.6 23
LOC classification:
  • TK5105.5-5105.9
Online resources:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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