Using Machine Learning Algorithms for Water Segmentation in Gas Diffusion Layers of Polymer Electrolyte Fuel Cells
Author:
Funder
US National Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
General Chemical Engineering,Catalysis
Link
https://link.springer.com/content/pdf/10.1007/s11242-022-01833-0.pdf
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4. Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(12), 2481–2495 (2017). https://doi.org/10.1109/TPAMI.2016.2644615
5. Bailey, J.J., Chen, J., Hack, J., Perez-Page, M., Holmes, S.M., Brett, D.J.L., Shearing, P.R.: Lab-based X-ray micro-computed tomography coupled with machine-learning segmentation to investigate phosphoric acid leaching in high-temperature polymer electrolyte fuel cells. J. Power Sources 509, 230347 (2021). https://doi.org/10.1016/j.jpowsour.2021.230347
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