Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring
| Title: | Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring |
|---|---|
| Authors: | Gu, Ke; Liu, Jing; Shi, Shuang; Xie, Shuangyi; Shi, Ting; Qiao, Junfei |
| Contributors: | National Science Foundation of China; Beijing Natural Science Foundation; Industry-University-Research Innovation Fund for Chinese University-Blue Point Distributed Intelligent Computing Project; Ministry of Education of China; Chinese Association for Artificial Intelligence (CAAI)-Huawei Mindspore Open Fund |
| Source: | IEEE Transactions on Instrumentation and Measurement ; volume 71, page 1-13 ; ISSN 0018-9456 1557-9662 |
| Publisher Information: | Institute of Electrical and Electronics Engineers (IEEE) |
| Publication Year: | 2022 |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| DOI: | 10.1109/tim.2022.3205915 |
| Availability: | https://doi.org/10.1109/tim.2022.3205915; http://xplorestaging.ieee.org/ielx7/19/9717300/09887976.pdf?arnumber=9887976 |
| Rights: | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html ; https://doi.org/10.15223/policy-029 ; https://doi.org/10.15223/policy-037 |
| Accession Number: | edsbas.A8689507 |
| Database: | BASE |