Machine Learning and Intelligent Communications : 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020 : proceedings /

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Bibliographic Details
Meeting name:International Conference on Machine Learning and Intelligent Communications (5th : 2020 : Online).
Imprint:Cham : Springer, [2021]
Description:1 online resource (xvi, 536 pages) : illustrations (chiefly color).
Language:English
Series:Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-8211 ; 342
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 342.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12611166
Hidden Bibliographic Details
Varying Form of Title:MLICOM 2020
Other authors / contributors:Guan, Mingxiang, editor.
Na, Zhenyu, editor.
ISBN:9783030667856
3030667855
9783030667849
3030667847
Digital file characteristics:text file
PDF
Notes:International conference proceedings.
Includes author index.
Access restricted to registered UOB users with valid accounts.
Online resource; title from PDF title page (SpringerLink, viewed March 10, 2021).
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.
Other form:3030667847
Standard no.:10.1007/978-3-030-66785-6

MARC

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