Deep learning based self-adaptive framework for environmental interoperability in internet of things

Author:

Lee Euijong1,Lee Sukhoon2,Seo Young-Duk3

Affiliation:

1. Chungbuk National University, Cheongju, Republic of Korea

2. Kunsan National University, Kunsan, Republic of Korea

3. Inha University, Incheon, Republic of Korea

Funder

National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT)

Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT)

Publisher

ACM

Reference18 articles.

1. The Elastic Internet of Things - A platform for self-integrating and self-adaptive IoT-systems with support for embedded adaptive hardware

2. Quantitative Verification-Aided Machine Learning: A Tandem Approach for Architecting Self-Adaptive IoT Systems

3. Edmund M Clarke Jr , Orna Grumberg , Daniel Kroening , Doron Peled , and Helmut Veith . 2018. Model checking . MIT press . Edmund M Clarke Jr, Orna Grumberg, Daniel Kroening, Doron Peled, and Helmut Veith. 2018. Model checking. MIT press.

4. Omid Gheibi , Danny Weyns , and Federico Quin . 2021. Applying machine learning in self-adaptive systems: A systematic literature review. arXiv preprint arXiv:2103.04112 ( 2021 ). Omid Gheibi, Danny Weyns, and Federico Quin. 2021. Applying machine learning in self-adaptive systems: A systematic literature review. arXiv preprint arXiv:2103.04112 (2021).

5. Ian Goodfellow , Yoshua Bengio , and Aaron Courville . 2016. Deep learning . MIT press . Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep learning. MIT press.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LINK: Self-Adaptive System with Human-Machine Teaming-based Loop for Interoperability in IoT Environments;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

2. Self-adaptive Internet of Things Systems: A Systematic Literature Review;Communications in Computer and Information Science;2024

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