Filter Transfer Learning Algorithm for Missing Data Imputation in Wastewater Treatment Process-Reference-Cited by-同舟云学术

Filter Transfer Learning Algorithm for Missing Data Imputation in Wastewater Treatment Process

Published:2023-12-01 Issue:12 Volume:35 Page:12649-12662
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Han Honggui¹^ORCID,Li Mengmeng²^ORCID,Qiao Junfei²^ORCID,Yang Qing³^ORCID,Peng Yongzhen³^ORCID

Affiliation:

1. Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Beijing Artificial Intelligence Institute and Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China

2. Faculty of Information Technology, Beijing University of Technology, Beijing, China

3. Faculty of Environment and Life, Beijing University of Technology, Beijing, China

Funder

National Science Foundation of China

Beijing Outstanding Young Scientist Program

Beijing Natural Science Foundation

Beijing Youth Scholar

CAAI-Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10311056/10111013.pdf?arnumber=10111013

Reference40 articles.

1. COLI: Collaborative clustering missing data imputation

2. A Non-Iterative Neural-Like Framework for Missing Data Imputation

3. Nearest neighbor selection for iteratively kNN imputation

4. Random forest missing data algorithms

5. A Novel Fuzzy Rough Clustering Parameter-based missing value imputation

Cited by 2 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. Enhancing brain MRI data visualization accuracy with UNET and FPN networks;Biomedical Signal Processing and Control;2024-10

2. Ensemble filter-transfer learning algorithm;Pattern Recognition;2024-10