Cargando…
Research on the Strong Generalization of Coal Gangue Recognition Technology Based on the Image and Convolutional Neural Network under Complex Conditions
[Image: see text] A coal gangue image recognition method based on complex conditions is proposed to address the current issue of image-based coal gangue recognition being greatly affected by complex conditions. First, complex conditions such as different shooting backgrounds, shooting distances, and...
Autores principales: | Xun, Qikai, Yang, Yang, Liu, Yongbin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620893/ https://www.ncbi.nlm.nih.gov/pubmed/37929098 http://dx.doi.org/10.1021/acsomega.3c04558 |
Ejemplares similares
-
Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment
por: Jiang, HaiYan, et al.
Publicado: (2023) -
Target Recognition of Coal and Gangue Based on Improved YOLOv5s and Spectral Technology
por: Yan, Pengcheng, et al.
Publicado: (2023) -
Diffusion law of coal gangue slurry and the application of fluidized filling technology of gangue in caving area
por: Zhang, Ji-qiang, et al.
Publicado: (2023) -
Study on recognition of coal and gangue based on multimode feature and image fusion
por: Zhao, Lijuan, et al.
Publicado: (2023) -
Coal gangue recognition based on spectral imaging combined with XGBoost
por: Zhou, Minghao, et al.
Publicado: (2023)