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Machine Learning and Intelligent Communication

8th EAI International Conference, MLICOM 2023, Beijing, China, December 17, 2023, Proceedings

  • Conference proceedings
  • Oct 2024

Overview

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About this book

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Machine Learning and Intelligent Communication, MLICOM 2023, which was held in Beijing, China, during December 17, 2023.

The 18 full papers were carefully reviewed and selected from 44 submissions. They were categorized under the topical sections as follows: Machine Learning and Information Processing, Intelligent Communications Technology, Emerging Artificial Intelligence Application.   

Keywords

  • artificial intelligence
  • communication systems
  • computer hardware
  • computer networks
  • computer science
  • computer systems
  • computer vision
  • education
  • engineering
  • image processing
  • internet
  • learning
  • machine learning
  • mathematics
  • network protocols
  • signal processing
  • telecommunication networks
  • telecommunication systems
  • telecommunication traffic
  • wireless telecommunication systems

Editors and Affiliations

  • Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance, Minzu University of China, Beijing, China

    Weng Yu

  • Minzu University of China, Beijing, China

    Liu Xuan

Bibliographic Information

  • Book Title: Machine Learning and Intelligent Communication

  • Book Subtitle: 8th EAI International Conference, MLICOM 2023, Beijing, China, December 17, 2023, Proceedings

  • Editors: Weng Yu, Liu Xuan

  • Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024

  • Softcover ISBN: 978-3-031-71715-4Due: 02 November 2024

  • eBook ISBN: 978-3-031-71716-1Due: 02 November 2024

  • Series ISSN: 1867-8211

  • Series E-ISSN: 1867-822X

  • Edition Number: 1

  • Number of Pages: XII, 252

  • Number of Illustrations: 17 b/w illustrations, 64 illustrations in colour

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