Articles citing this article

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Cited article:

Spatiotemporal evolution analysis of bubble swarms in gas-liquid static mixers based on an improved CNN

Yanfang Yu, Dadian Wang, Huibo Meng, Jinyu Guo and Zhiying Han
International Journal of Heat and Mass Transfer 255 127731 (2026)
https://doi.org/10.1016/j.ijheatmasstransfer.2025.127731

Overlapping bubble detection and tracking method based on convolutional Neural network and Kalman Filter

Daizhou Wen, Wuguang Chen, Junlian Yin, Yuchen Song, Mingjun Ren and Dezhong Wang
Chemical Engineering Science 263 118059 (2022)
https://doi.org/10.1016/j.ces.2022.118059

Automated Processing of Oceanic Bubble Images for Measuring Bubble Size Distributions underneath Breaking Waves

Raied S. Al-Lashi, Steve R. Gunn and Helen Czerski
Journal of Atmospheric and Oceanic Technology 33 (8) 1701 (2016)
https://doi.org/10.1175/JTECH-D-15-0222.1

Automated characterization and quantification of hydrocarbon seeps based on frontal illuminated video observations

J. Boelmann and O. Zielinski
Journal of the European Optical Society-Rapid Publications 10 15018 (2015)
https://doi.org/10.2971/jeos.2015.15018

Modelling the influence of oil content on optical properties of seawater in the Baltic Sea

K. Rudź, M. Darecki and H. Toczek
Journal of the European Optical Society-Rapid Publications 8 13063 (2013)
https://doi.org/10.2971/jeos.2013.13063

Automated gas bubble imaging at sea floor – a new method of in situ gas flux quantification

K. Thomanek, O. Zielinski, H. Sahling and G. Bohrmann
Ocean Science 6 (2) 549 (2010)
https://doi.org/10.5194/os-6-549-2010