<i>Retracted:</i> Complex image denoising framework with CNN‐wavelet under concurrency scenarios for informatics systems

Liping Wang, Wenzhun Huang, Shanwen Zhang, Zhe Liu

DOI: 10.1002/cpe.5059
Published: 2018-11-13
Container: Concurrency and Computation: Practice and Experience
Publisher: Wiley
Open access: unknown

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serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1002/cpe.5059,
  title = {<i>Retracted:</i>
                    Complex image denoising framework with CNN‐wavelet under concurrency scenarios for informatics systems},
  author = {Liping Wang and Wenzhun Huang and Shanwen Zhang and Zhe Liu},
  year = {2018},
  journal = {Concurrency and Computation: Practice and Experience},
  doi = {10.1002/cpe.5059},
  url = {https://doi.org/10.1002/cpe.5059}
}

RIS

TY  - JOUR
TI  - <i>Retracted:</i>
                    Complex image denoising framework with CNN‐wavelet under concurrency scenarios for informatics systems
AU  - Liping Wang
AU  - Wenzhun Huang
AU  - Shanwen Zhang
AU  - Zhe Liu
PY  - 2018
JO  - Concurrency and Computation: Practice and Experience
DO  - 10.1002/cpe.5059
UR  - https://doi.org/10.1002/cpe.5059
ER  -

APA

Wang, L., Huang, W., Zhang, S., & Liu, Z. (2018). <i>Retracted:</i> Complex image denoising framework with CNN‐wavelet under concurrency scenarios for informatics systems. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.5059

Source records

crossref · retrieved 2026-09-24T20:41:19.888Z