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:	Machine learning -- Congresses. Artificial intelligence -- Congresses. Computer networks -- Congresses. Computer simulation -- Congresses. Image processing -- Congresses. Computer networks. Data structures (Computer science) Computers. Data protection. Artificial intelligence. Computer networks. Computer simulation. Computers. Data protection. Data structures (Computer science) Image processing. Machine learning. Electronic books. Conference papers and proceedings. Conference papers and proceedings.
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

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