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The imperfection coefficient for the classifier ranged between 0.2 and 0.5 (Ozcan 2020). Previous research has confirmed that the potential increase in circuit throughput gained by increasing the ...
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2020-6-17 · With the success of deep learning (DL) methods in diverse application domains, several deep learning software frameworks have been proposed to facilitate the usage of these methods. By knowing the frameworks which are employed in big data analysis, the analysis process will be more efficient in terms of time and accuracy. Thus, benchmarking DL software frameworks is in high …
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2021-5-15 · The generative adversarial network (GAN) is a state-of-the-art technique in the field of deep learning. A number of recent papers address the theory and applications of GANs in various fields of image processing. Fewer studies, however, have directly evaluated GAN outputs. Those that have been conducted focused on using classification performance, e.g., inception score (IS) and statistical ...
Minerals processing engineers and grinding experts agree that classification efficiency and circulating load both have a major effect on the efficiency of closed circuit ball mills.
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