Design of Soft Sensor for Industrial Antimony Flotation Based on Deep CNN
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9157828/9163813/09164722.pdf?arnumber=9164722
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Flotation froth image deblurring algorithm based on disentangled representations;Journal of Electronic Imaging;2024-05-09
2. Prediction of ash content in coal slime flotation based on CNN-BP method with residual estimation;International Journal of Coal Preparation and Utilization;2024-03-20
3. Developing a data-driven soft sensor to predict silicate impurity in iron ore flotation concentrate;Physicochemical Problems of Mineral Processing;2023-07-26
4. Prediction of Froth Flotation Performance Using Convolutional Neural Networks;Mining, Metallurgy & Exploration;2023-05-05
5. Multiscale Convolutional Network for Repairing Coal Slime Foam Images;ACS Omega;2023-03-01
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