Machine Learning for Networking

£44.99

Machine Learning for Networking

Third International Conference, MLN 2020, Paris, France, November 24–26, 2020, Revised Selected Papers

Information technology: general topics Network hardware Data mining Systems analysis and design Expert systems / knowledge-based systems Machine learning

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Collection: Lecture Notes in Computer Science

Language: English

Published by: Springer

Published on: 2nd March 2021

Format: LCP-protected ePub

Size: 54 Mb

ISBN: 9783030708665


Conference Details

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019.

Content and Review Process

The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions.

Topics Covered

They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, resource allocation, energy-aware communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.

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