SHFW: second-order hybrid fusion weight–median algorithm based on machining learning for advanced IoT data analytics-Reference-Cited by-同舟云学术

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SHFW: second-order hybrid fusion weight–median algorithm based on machining learning for advanced IoT data analytics

Published:2023-06-13 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Tu Tianyi,Su Ye,Tang Yayuan^ORCID,Guo Guoqiang,Tan Wenxue,Ren Sheng

Funder

Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Scientific Research Project of Hunan Provincial Department of Ed-ucation

Hunan University of Arts and Sciences Ph.D. start-up project

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-023-03395-5.pdf

Reference44 articles.

1. Albuquerque, V., Sales Dias, M., & Bacao, F. (2021). Machine learning approaches to bike-sharing systems: A systematic literature review. ISPRS International Journal of Geo-Information, 10(2), 62. https://doi.org/10.3390/ijgi10020062

2. Liu, Y., Li, D., Wan, S., Wang, F., Dou, W., Xu, X., Lis, S., Ma, R., & Qi, L. (2022). A long short-term memory-based model for greenhouse climate prediction. International Journal of Intelligent Systems, 37(1), 135–151. https://doi.org/10.1002/int.22620

3. Zhou, X., Yang, X., Ma, J., Kevin, I., & Wang, K. (2021). Energy efficient smart routing based on link correlation mining for wireless edge computing in IoT. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2021.3077937

4. Liang, W., Hu, Y., Zhou, X., Pan, Y., Kevin, I., & Wang, K. (2021). Variational few-shot learning for microservice-oriented intrusion detection in distributed industrial IoT. IEEE Transactions on Industrial Informatics, 18(8), 5087–5095. https://doi.org/10.1109/TII.2021.3116085

5. Kong, L., Wang, L., Gong, W., Yan, C., Duan, Y., & Qi, L. (2022). LSH-aware multitype health data prediction with privacy preservation in edge environment. World Wide Web, 25(5), 1793–1808. https://doi.org/10.1007/s11280-021-00941-z

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