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1 Ergebnisse
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table1_Study on Measure Approach of Void Fraction in Narrow..:
Wenjun Chu
;
Yang Liu
;
Liqiang Pan
..
doi:10.3389/fenrg.2021.636813.s002. , 2021
Link:
https://doi.org/10.3389/fenrg.2021.636813.s002
RT Journal T1
table1_Study on Measure Approach of Void Fraction in Narrow Channel Based on Fully Convolutional Neural Network.xlsx
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_13661813&Exemplar=1&LAN=DE A1 Wenjun Chu A1 Yang Liu A1 Liqiang Pan A1 Hongye Zhu A1 Xingtuan Yang YR 2021 K1 Nuclear Engineering K1 Carbon Sequestration Science K1 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) K1 Carbon Capture Engineering (excl. Sequestration) K1 Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels) K1 Chemical Engineering not elsewhere classified K1 Power and Energy Systems Engineering (excl. Renewable Power) K1 Renewable Power and Energy Systems Engineering (excl. Solar Cells) K1 Energy Generation K1 Conversion and Storage Engineering K1 Nuclear Engineering (incl. Fuel Enrichment and Waste Processing and Storage) K1 Chemical Sciences not elsewhere classified K1 boiling two-phase flow K1 narrow channel K1 void fraction measurement K1 deep learning K1 convolutional neural network JF doi:10.3389/fenrg.2021.636813.s002 LK http://dx.doi.org/https://doi.org/10.3389/fenrg.2021.636813.s002 DO https://doi.org/10.3389/fenrg.2021.636813.s002 SF ELIB - SuUB Bremen
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