Machine Learning for Networking / Lecture Notes in Computer Science Bd.13175 (PDF)
4th International Conference, MLN 2021, Virtual Event, December 1-3, 2021, Proceedings
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2022, 1st ed. 2022, 161 Seiten, Englisch
- Herausgegeben: Éric Renault, Selma Boumerdassi, Paul Mühlethaler
- Verlag: Springer International Publishing
- ISBN-10: 303098978X
- ISBN-13: 9783030989781
- Erscheinungsdatum: 22.03.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 22 MB
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Sprache:
Englisch
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