A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition
Abstract Coal-gangue recognition technology plays an important role in the intelligent realization of integrated working faces and coal quality improvement. However, the existing methods are easily affected by high dust, noise, and other disturbances, resulting in unstable recognition results that m...
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Main Authors: | Qingjun Song, Shirong Sun, Qinghui Song, Bingrui Wang, Zihao Liu, Haiyan Jiang |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-83604-z |
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