An adaptive data cleaning framework: a case study of the water quality monitoring system in China-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An adaptive data cleaning framework: a case study of the water quality monitoring system in China

Published:2022-05-13 Issue:7 Volume:67 Page:1114-1129
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Chen Zeng¹^ORCID,Jiang Peng²,Liu Jun²,Zheng Song¹,Shan Zhenyu²,Li Zhihua¹,Xu Huan¹,Bychkov Igor V.³,Hmelnov Alexei E.³

Affiliation:

1. School of Automation (Artificial Intelligence), Hangzhou Dianzi University, Hangzhou 310018, China

2. School of Information Science and Technology, Hangzhou Normal University, Hangzhou 311121, China

3. Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, Irkutsk 664000, Russia

Funder

the Leading Talents of Science and Technology Innovation in Zhejiang Provincial Ten Thousands Plan

the Zhejiang Provincial Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2060106

Reference29 articles.

1. Application of a new EWT-based denoising technique in bearing fault diagnosis

2. Measuring complexity using FuzzyEn, ApEn, and SampEn

3. A novel water quality data analysis framework based on time-series data mining

4. Evaluation of the Parameters of Water Quality with Wavelet Techniques

5. De-noising by soft-thresholding

Cited by 3 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. Artificial intelligence-assisted water quality index determination for healthcare;Artificial Intelligence Review;2023-09-09

2. Clinical characterization of patients with PRPF31 -related retinitis pigmentosa and asymptomatic carriers: a cross-sectional study;Ophthalmic Genetics;2023-06-09

3. A Big Data Cleaning Method for Drinking-Water Streaming Data;Brazilian Archives of Biology and Technology;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3