Shulph Ink
Machine Learning for Networking: 4th International Conference, MLN 2021, Virtual Event, December 1-3, 2021, Proceedings
Machine Learning for Networking: 4th International Conference, MLN 2021, Virtual Event, December 1-3, 2021, Proceedings
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Excellent- More about Machine Learning for Networking: 4th International Conference, MLN 2021, Virtual Event, December 1-3, 2021, Proceedings
The 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021, had 10 revised full papers that presented and discussed new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, user behavior prediction, multimedia, IoT, security and protection, optimization and 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, and underwater sensor networks.
Format: Paperback / softback
Length: 161 pages
Publication date: 23 March 2022
Publisher: Springer Nature Switzerland AG
This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Machine Learning for Networking, MLN 2021, held in Paris, France, in December 2021. The 10 revised full papers included in the volume were carefully reviewed and selected from 30 submissions. They present and discuss new trends in in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G systems, 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, and underwater sensor networks.
Weight: 273g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030989774
Edition number: 1st ed. 2022
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