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"Video-Sensing Characterization for Hydrodynamic Features: Particle ..."

Aimé Lay-Ekuakille et al. (2021)

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DOI: 10.3390/S21124197

access: open

type: Journal Article

metadata version: 2021-09-20

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  - https://dblp.org/rec/journals/sensors/Lay-EkuakilleOU21
Aimé Lay-Ekuakille, John Peter Djungha Okitadiowo, Moise Avoci Ugwiri, Sabino Maggi, Rita Masciale, Giuseppe Passarella:
Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach. Sensors 21(12): 4197 (2021)

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