Competitive Voting-based Multi-class Prediction for Ore Selection-Reference-Cited by-同舟云学术

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Competitive Voting-based Multi-class Prediction for Ore Selection

Published:2020-08 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)
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Author:

Zhang Zelin,Liu Ying,Hu Qi,Zhang Zhiwei,Liu Yang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9210430/9216730/09217017.pdf?arnumber=9217017

Cited by 11 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. Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection;Scientific Reports;2024-05-21

2. Optimizing Multi-Spectral Ore Sorting: Incorporating Wavelength Selection Utilizing Neighborhood Component Analysis for Effective Arsenic Mineral Detection;2024-04-12

3. Deep learning based data augmentation for large-scale mineral image recognition and classification;Minerals Engineering;2023-12

4. Prediction and classification of minerals using deep residual neural network;Neural Computing and Applications;2023-11-09

5. MADENLERİN SINIFLANDIRILMASINA YÖNELİK HİBRİD BİR CNN MODELİN OLUŞTURULMASI;Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi;2023-09-03

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