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@MISC{FZJ202402735,
key = {1025158},
title = {{P}olymer {E}lectrolyte {M}embrane {W}ater {E}lectrolyzer
{O}xygen {B}ubble {E}volution {O}ptical},
reportid = {FZJ-2024-02735},
year = {2023},
note = {Video Recording For Deep Learning-Enhanced Characterization
of Bubble Dynamics in Proton Exchange Membrane Water
Electrolyzer by André Colliard-Granero, Keusra A. Gompou,
Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling,
and Mohammad J. Eslamibidgoli},
abstract = {Dataset used for the training of the segmentation model
employed in the work 'Deep Learning-Enhanced
Characterization of Bubble Dynamics in Proton Exchange
Membrane Water Electrolyzer' by André Colliard-Granero,
Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek,
Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This
dataset consists in 35 images and the corresponding manual
annotated masks of diverse bubbly scenarios extracted from
the optical video recording of a PEMWE with a transparent
flow field.},
organization = {Polymer Electrolyte Membrane Water
Electrolyzer Oxygen Bubble Evolution
Optical Video Recording For Deep
Learning-Enhanced Characterization of
Bubble Dynamics in Proton Exchange
Membrane Water Electrolyzer,},
keywords = {PEMWE (Other) / electrolyzer (Other) / Dataset (Other) /
Annotated (Other) / Images (Other) / Segmentation (Other) /
Deep Learning (Other) / Machine Learning (Other) / Bubble
(Other)},
cin = {IEK-13},
cid = {I:(DE-Juel1)IEK-13-20190226},
pnm = {1222 - Components and Cells (POF4-122)},
pid = {G:(DE-HGF)POF4-1222},
typ = {PUB:(DE-HGF)27},
doi = {10.5281/ZENODO.10184579},
url = {https://juser.fz-juelich.de/record/1025158},
}