東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Machine learning for networking = 5t...

MLN (Conference) (2022 :)

FindBook

Google Book

Amazon

博客來

Machine learning for networking = 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning for networking/ edited by Eric Renault, Paul Muhlethaler.
其他題名:	5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /
其他題名:	MLN 2022
其他作者:	Renault, Eric.
團體作者:	MLN (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	x, 180 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Machine learning - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-36183-8
ISBN:	9783031361838

Machine learning for networking = 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /
Machine learning for networking5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /[electronic resource] :MLN 2022edited by Eric Renault, Paul Muhlethaler. - Cham :Springer Nature Switzerland :2023. - x, 180 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,137670302-9743 ;. - Lecture notes in computer science ;13767..

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.

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.

ISBN: 9783031361838

Standard No.: 10.1007/978-3-031-36183-8doiSubjects--Topical Terms:

576368
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning for networking = 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers /
LDR:02842nmm a2200385 a 4500 001 2332785
003 DE-He213
005 20230706160340.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031361838 $q (electronic bk.)
020 $a 9783031361821 $q (paper)
024 7 $a 10.1007/978-3-031-36183-8 $2 doi
035 $a 978-3-031-36183-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M685 2022
111 2 $a MLN (Conference) $n (5th : $d 2022 : $c Paris, France) $3 3662954
245 1 0 $a Machine learning for networking $h [electronic resource] : $b 5th International Conference, MLN 2022, Paris, France, November 28-30, 2022 : revised selected papers / $c edited by Eric Renault, Paul Muhlethaler.
246 3 $a MLN 2022
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a x, 180 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13767
490 1 $a Information systems and applications, incl. Internet/Web, and HCI
505 0 $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.
520 $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.
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Computer and Information Systems Applications. $3 3538505
700 1 $a Renault, Eric. $3 2162601
700 1 $a Muhlethaler, Paul. $3 3410378
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 13767. $3 3662955
830 0 $a Information systems and applications, incl. Internet/Web, and HCI. $3 3531495
856 4 0 $u https://doi.org/10.1007/978-3-031-36183-8
950 $a Computer Science (SpringerNature-11645)