Published April 7, 2024
| Version v1
Dataset
Open
Dataset of "Denoising Image-based Experimental Data without Clean Targets based on Deep Autoencoders"
Creators
-
1.
Shanghai Jiao Tong University
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2.
Universidad Carlos III de Madrid
Description
Dataset of the paper "Denoising Image-based Experimental Data without Clean Targets based on Deep Autoencoders", published in Experimental Thermal and Fluid Science (https://doi.org/10.1016/j.expthermflusci.2024.111195)
The project received funding from: the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085); the National Natural Science Foundation of China (NSFC No 12227803 and No 12372276).
Files
Instructions.pdf
Files
(9.4 GB)
| Name | Size | Download all |
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md5:648a65df085ab94e8aa259b18c80e9f7
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419.3 MB | Download |
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md5:692fbcbb67d82a47f2b126f57f2c7417
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7.7 MB | Download |
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md5:cb551e35e0058a56844ea2a76c01fc3e
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163.6 kB | Preview Download |
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md5:96ac1fdcfa914ed2f1f3fe1e29d4d68f
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2.9 GB | Download |
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md5:2820ff5361d39811425cf123def8b522
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2.9 GB | Download |
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md5:acf6dc2d7696c43574bdcd2c76d54ff3
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1.5 GB | Download |
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md5:971699c2d8ba2fdb3efe473aa67a93d0
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1.6 GB | Download |
Additional details
Related works
- Cites
- Journal article: 10.1016/j.expthermflusci.2024.111195 (DOI)