Design of Human Resource Distance Education System Based on Internet of Things Technology
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-94182-6_15
Reference19 articles.
1. Casolla, G., Cuomo, S., Di Cola, V.S., et al.: Exploring unsupervised learning techniques for the Internet of Things. IEEE Trans. Industr. Inf. 16(4), 2621–2628 (2019)
2. Hou, R., Kong, Y.Q., Cai, B., et al.: Unstructured big data analysis algorithm and simulation of Internet of Things based on machine learning. Neural Comput. Appl. 32(10), 5399–5407 (2020)
3. Min, Y.A.: Problem solving path algorithm in distance education environment. J. Korea Soc. Comp. Inform. 26(6), 55–61 (2021)
4. Boussakssou, M., Hssina, B., Erittali, M.: Towards an adaptive E-learning system based on Q-learning algorithm. Procedia Comput. Sci. 170, 1198–1203 (2020)
5. Aljawarneh, S.A., Vangipuram, R.: GARUDA: Gaussian dissimilarity measure for feature representation and anomaly detection in Internet of Things. J. Supercomput. 76(6), 4376–4413 (2020)
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