Machine Learning and Intelligent Communications: 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings
Author:   Mingxiang Guan ,  Zhenyu Na
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   342
ISBN:  

9783030667849


Pages:   536
Publication Date:   24 January 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Machine Learning and Intelligent Communications: 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings


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Overview

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.

Full Product Details

Author:   Mingxiang Guan ,  Zhenyu Na
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   342
Weight:   0.836kg
ISBN:  

9783030667849


ISBN 10:   3030667847
Pages:   536
Publication Date:   24 January 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.

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