Online non-convex learning for river pollution source identification-Reference-Cited by-同舟云学术

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Online non-convex learning for river pollution source identification

Published:2022-06-13 Issue:3 Volume:55 Page:229-241
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Huang Wenjie¹²^ORCID,Jiang Jing³,Liu Xiao⁴⁵

Affiliation:

1. HKU-Musketeers Foundation Institute of Data Science

2. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong SAR

3. JD.com, Inc., Beijing, China

4. Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China

5. Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2068087

Reference48 articles.

1. An overview of Non-intrusive load monitoring methodologies

2. Minimization of functions having Lipschitz continuous first partial derivatives

3. Using wireless sensor networks to enable increased oil recovery

4. The effect of measurement error

Cited by 1 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. A new method for point pollution source identification based on remote sensing inversion and water streamlines;Journal of Hydrology;2024-01

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