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on1390126940 |
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OCoLC |
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|a 10.1007/978-3-031-36183-8
|2 doi
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|a (OCoLC)1390126940
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|a UYQE
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| 049 |
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|a HCDD
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2 |
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|a International Conference on Machine Learning for Networking
|n (5th :
|d 2022 :
|c Paris, France)
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| 245 |
1 |
0 |
|a Machine learning for networking :
|b 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022, revised selected papers /
|c Éric Renault, Paul Mühlethaler, editors.
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| 246 |
3 |
0 |
|a MLN 2022
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| 264 |
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1 |
|a Cham :
|b Springer,
|c [2023]
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| 264 |
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4 |
|c ©2023
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| 300 |
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|a 1 online resource (x, 180 pages) :
|b illustrations (some color).
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
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| 490 |
1 |
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|a Lecture notes in computer science,
|x 1611-3349 ;
|v 13767
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| 500 |
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|a International conference proceedings.
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| 500 |
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|a Includes author index.
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| 520 |
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|a This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning for Networking, MLN 2022, held in Paris, France, November 28-30, 2022. The 12 full papers presented in this book were carefully reviewed and selected from 27 submissions. The papers present novel ideas, results, experiences and work-in-process on all aspects of Machine Learning and Networking.
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| 505 |
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|a Comparison of AI-based algorithms for low energy communication -- Development of an Intent-Based Network incorporating Machine Learning for service Assurance of E-commerce Online Stores -- Cyber-attack proactive defense using multivariate time series and machine learning with Fuzzy Inference-based Decision System -- iPerfOPS: a Tool for Machine Learning-Based Optimization through Protocol Selection -- GRAPHSEC -- Advancing the Application of AI/ML to Network Security through Graph Neural Networks -- Low Complexity Adaptive ML Approaches for End-to-End Latency Prediction -- TDMA-based MAC protocols designed or optimized using Artificial Intelligence for safety data dissemination in Vehicular ad-hoc network: A Survey -- A Machine Learning Based Approach to Detect Stealthy Cobalt Strike C\&C Activities from Encrypted Network Traffic -- Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents -- Deep Learning Based Camera Switching for Sports Broadcasting -- Phisherman: Phishing Link Scanner -- Leader-Assisted Client Selection for Federated Learning in Iot via the Cooperation of Nearby Devices. .
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| 588 |
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|a Online resource; title from PDF title page (SpringerLink, viewed July 12, 2023).
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| 650 |
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|a Machine learning
|v Congresses.
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| 650 |
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|a Computer networks
|v Congresses.
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|a Computer networks
|2 fast
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| 650 |
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|a Machine learning
|2 fast
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| 655 |
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|a Electronic books.
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|a proceedings (reports)
|2 aat
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| 655 |
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|a Conference papers and proceedings
|2 fast
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| 655 |
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|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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7 |
|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Renault, Éric
|c (Computer scientist),
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjwRQYR8wCVB9gG9877pGd
|
| 700 |
1 |
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|a Mühlethaler, Paul,
|e editor.
|
| 758 |
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|i has work:
|a Machine learning for networking (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFqW3BdMY3kkvRMQ46KPQq
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 830 |
|
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|a Lecture notes in computer science ;
|v 13767.
|x 1611-3349
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| 856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-36183-8
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
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