Results 91 to 100 of about 193 (125)
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Research on Coal and Gangue Identification Method Based on Infrared Thermal Wave Detection

Applied Mechanics and Materials, 2013
A method based on infrared thermal wave to distinguish coal and waste rock is introduced. Infrared thermal wave detection technology, a fast and effective detection method, can detect different characteristics of coal and gangue on the surface or subsurface.
Yi Ding Zhao, Shao Peng Hu
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Research on Coal and Gangue Identification Algorithm by Improved YOLOv7

2023 2nd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE), 2023
Shiru Zhang, Rui Wang, Wenjin Yu
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Research on online identification technology for coal gangue based on multimodal data fusion

Engineering Research Express
Abstract To improve coal sorting efficiency, reduce gangue transportation costs, and minimize environmental pollution, this paper proposes an online gangue identification method based on multimodal data fusion. The method integrates three types of characteristic data, which are visual images, near-infrared spectra, and vibration spectra.
Zhenfang Xu, Jiayao Li, Ke Liao
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Identification of Coal and Gangue by Feed-forward Neural Network Based on Data Analysis

International Journal of Coal Preparation and Utilization, 2017
ABSTRACTWhile coal is the major power source around the globe, gangue is unwanted in power plants. Thus, separating gangue from coal is a crucial part in the preprocessing step of mining. With the development of the computational technologies, it is possible to find one way to enhance the effect of gangue separation.
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Research of coal and gangue identification and positioning method at mobile device

International Journal of Coal Preparation and Utilization, 2022
Yongcun Guo   +4 more
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Fast identification model for coal and gangue based on the improved tiny YOLO v3

Journal of Real-Time Image Processing, 2022
Hongguang Pan   +4 more
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Rapid multispectral image identification of coal and gangue based on super-resolution reconstruction

Applied Optics
Accurate coal and gangue separation is crucial for efficient coal utilization. Multispectral imaging (MSI) offers a promising approach but often suffers from limited resolution, hindering accurate identification. This study proposes, a novel method, to our knowledge, combining super-resolution (SR) reconstruction and machine learning to enhance coal ...
Qingya Wang   +5 more
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