Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning-Reference-Cited by-同舟云学术

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Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning

Published:2020 Issue: Volume: Page:27-53
ISSN:2522-8595
Container-title:Business Intelligence for Enterprise Internet of Things
language:
Short-container-title:

Author:

Haldorai A.^ORCID,Ramu A.^ORCID,Suriya M.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-44407-5_2

Reference30 articles.

1. Anandakumar, H., & Umamaheswari, K. (March 2017). Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers. Cluster Computing, 20(2), 1505–1515.

2. Anandakumar, H., & Umamaheswari, K. (October 2018). A bio-inspired swarm intelligence technique for social aware cognitive radio handovers. Computers & Electrical Engineering, 71, 925–937. https://doi.org/10.1016/j.compeleceng.2017.09.016 .

3. Adli Mehr,K., &Musevi,N. J. (2016).Security bootstrapping of mobile ad hoc networks using identity-based cryptography. Security and Communication Networks, 9(11),1374–1383, Available: https://doi.org/10.1002/sec.1423

4. Bredt, S. (2019). Artificial Intelligence (AI) in the financial sector—Potential and public strategies.Frontiers in Artificial Intelligence, 2, Available: https://doi.org/10.3389/frai.2019.00016

5. Chittaro,L.,&Ranon, R. (2004). Hierarchical model-based diagnosis based on structural abstraction. Artificial Intelligence, 155(1–2), 147–182. Available: https://doi.org/10.1016/j.artint.2003.06.003

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