Design and Implementation of Automatic Analysis Framework for High-Timeliness Dam Safety Monitoring Data-Reference-Cited by-同舟云学术

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Design and Implementation of Automatic Analysis Framework for High-Timeliness Dam Safety Monitoring Data

Published:2024-05-17 Issue: Volume:32 Page:304-310
ISSN:
Container-title:Proceedings of the 2024 International Conference on Smart City and Information System
language:
Short-container-title:

Author:

Xiao Jianhong¹^ORCID,Yang Maotao¹^ORCID,Wu Cong¹^ORCID

Affiliation:

1. Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology, State Grid Hunan Power Supply Service Center (Metrology Center), China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3685088.3685142

Reference18 articles.

1. Dimatteo S. Smart dam monitoring boosts safety. International water power & dam construction, 2023, 75 (11): 18-19.

2. The application of genetic algorithm in establishment of neural network forecast model for dam safety monitoring;Huaizhi S U;Journal of Hydraulic Engineering,2001

3. Information management system for the safety monitoring of dam clusters;Tingting Li;Hydropower Automation and Dam Monitoring

4. Optimization and application of the K-means algorithm;Shiqiao Fang;Modern Information Technology,2023

5. Locality-sensitive hash K-means algorithm for large-scale datasets;Feng Wei;Industry and Mine Automation,2023

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