Survey of Intent-Based Networks and a Methodology Based on Machine Learning and Natural Language Processing-Reference-Cited by-同舟云学术

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Survey of Intent-Based Networks and a Methodology Based on Machine Learning and Natural Language Processing

Published:2023-09-15 Issue: Volume: Page:363-382
ISSN:2367-3370
Container-title:Proceedings of Eighth International Congress on Information and Communication Technology
language:
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Author:

Hurtado Remigio,Picón Cristian,Muñoz Arantxa,Hurtado Juan

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-3236-8_28

Reference21 articles.

1. Mizrahi T, Moses Y (2016) Software defined networks: it’s about time. In: IEEE INFOCOM 2016—the 35th annual IEEE international conference on computer communications. IEEE

2. Wei Y, Peng M, Liu Y (2020) Intent-based networks for 6G: insights and challenges. Digit Commun Netw 6(3):270–280

3. Yang Z, Yeung KL (2020) SDN candidate selection in hybrid IP/SDN networks for single link failure protection. IEEE/ACM Trans Netw 28(1):312–321

4. Zeydan E, Turk Y (2020) Recent advances in intent-based networking: a survey. In: 2020 IEEE 91st vehicular technology conference (VTC2020-spring). IEEE

5. Beshley M et al (2020) Customer-oriented quality of service management method for the future intent-based networking. Appl Sci 10(22):8223

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1. A New Method for Predicting the Importance of Scientific Articles on Topics of Interest Using Natural Language Processing and Recurrent Neural Networks;Lecture Notes in Networks and Systems;2024

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