Reagent Predictive Control Using Joint Froth Image Feature for Antimony Flotation Process
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.433
Abstract: Abstract The prerequisite for achieving automatic control and optimal operation in flotation process is to extract distinctive froth image features. With the fluctuation of flotation conditions, the morphological features of surface bubbles will change. It… read more here.
Keywords: froth image; flotation process; feature; flotation ... See more keywords
Froth image analysis by use of transfer learning and convolutional neural networks
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DOI: 10.1016/j.mineng.2017.10.005
Abstract: Abstract Deep learning constitutes a significant recent advance in machine learning and has been particularly successful in applications related to image processing, where it can already surpass human accuracy in some cases. In this paper,… read more here.
Keywords: image; neural networks; froth image; convolutional neural ... See more keywords
ASM-VoFDehaze: a real-time defogging method of zinc froth image
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DOI: 10.1080/09540091.2022.2038543
Abstract: When the ambient temperature is low, a large amount of water mist and dust will inevitably appear around the zinc flotation cell, forming haze, which seriously affects the extraction of flotation froth image features. General… read more here.
Keywords: defogging method; time defogging; real time; image ... See more keywords