Clone detection in 5G-enabled social IoT system using graph semantics and deep learning model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-020-01246-9.pdf
Reference44 articles.
1. Wang D et al (2018) From IoT to 5G I-IoT: the next generation IoT-based intelligent algorithms and 5G technologies. IEEE Commun Mag 56(10):114–120
2. Al-Turjman F (2019) 5G-enabled devices and smart-spaces in social-IoT: an overview. Fut Gen Comput Syst 92:732–744
3. Al-Turjman F (2019) 5G-enabled devices and smart-spaces in social-IoT: an overview. Fut Gen Comput Syst 92:732–744
4. Ul Ain Q et al (2019) A model-driven approach for token based code clone detection techniques-an introduction to UMLCCD. In: Proceedings of the 2019 8th International Conference on Educational and Information Technology
5. Roy CK, Cordy JR (2007) A survey on software clone detection research. Queen’s School Comput TR 541(115):64–68
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