Computers, Materials & Continua
DOI: 10.32604/cmc.2021.017410
Correction
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Correction: Deep-Learning-Empowered 3D Reconstruction for Dehazed Images in IoT- Enhanced Smart Cities

Jing Zhang1,2, Xin Qi3,*, San Hlaing Myint3 and Zheng Wen4

1Department of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, 710054, China
2Tamoritsusho Co., Ltd., Tokyo, 110-0005, Japan
3Global Information and Telecommunication Institute, Waseda University, Tokyo, 169-8050, Japan
4School of Fundamental Science and Engineering, Waseda University, Tokyo, 169-8050, Japan
*Corresponding Author: Xin Qi. Email: samqixin@aoni.waseda.jp
Received: 29 January 2021; Accepted: 01 March 2021

Computers, Materials & Continua, vol. 68, no. 2, pp. 2807–2824, 2021.

The first author’s affiliation in the original paper was incorrect as 1Tamoritsusho Co., Ltd., Tokyo, 110-0005, Japan. The corrected affiliation of the first author is “1Department of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, 710054, China,

2Tamoritsusho Co., Ltd., Tokyo, 110-0005, Japan”, which has now been corrected in the original article.

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Copyright © 2021 The Authors. Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Correction: Deep-Learning-Empowered 3D Reconstruction for Dehazed Images in IoT- Enhanced Smart Cities

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Correction: Deep-Learning-Empowered 3D Reconstruction for Dehazed Images in IoT- Enhanced Smart Cities