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Improvement of computer recognition of foam parameters in potash flotation machines by anti-glares from bubbles
Author(s) -
A.V. Zatonskiy,
S.A. Varlamova,
K.A. Fedoseeva
Publication year - 2022
Publication title -
bulletin of the south ural state university ser computer technologies automatic control and radioelectronics
Language(s) - English
Resource type - Journals
eISSN - 2409-6571
pISSN - 1991-976X
DOI - 10.14529/ctcr220306
Subject(s) - glare , potash , computer science , computer vision , artificial intelligence , quality (philosophy) , layer (electronics) , environmental science , process engineering , pattern recognition (psychology) , materials science , engineering , composite material , philosophy , potassium , epistemology , metallurgy

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