Results 161 to 170 of about 4,764 (197)

Research on identification, separation and mechanism of soft and hard gangue from raw coal gangue via dual-energy X-ray based on machine learning

International Journal of Coal Preparation and Utilization
Haitao Zhao, Xiaomin Ma, Yuping Fan, Xianshu Dong, Yifeng Kang, Pengcheng Wen   +5 more
openaire   +3 more sources

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
openaire   +1 more source

Identification of Coal Gangue in Coal using YOLO V7

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 2023
Pavithra D, Poovizhi P, Nikil Vignesh R, Vigneshwaran R, Sowrow A   +4 more
openaire   +1 more source

Coal Gangue Identification and Localisation Measurement Method Based on Adaptive Image Enhancement and Edge Extraction

Minerals Engineering
In response to the challenges posed by degraded visual features of coal gangue under complex underground mining environments—which often result in low detection accuracy and deviations in centroid positioning, thereby severely constraining the acquisition of precise meso-scale morphological parameters required for trajectory prediction of non-spherical
Deyong Li, Sihang Zhang, Yongcun Guo, Shuang Wang, Yuhao Yang, Yuanbo Gao, Gan Zhao   +6 more
openaire   +1 more source

Composition Analysis and Component Identification of a Kind of Coal Gangue

Advances in Analytical Chemistry, 2021
openaire   +1 more source

An identification and positioning method for coal gangue based on lightweight mixed domain attention

International Journal of Coal Preparation and Utilization, 2022
De-Yong Li, Guo-Fa Wang, Yong-Cun Guo, Yong Zhang, Shuang Wang   +4 more
openaire   +1 more source

Integrated acoustic-vibration analysis: a dual-channel fusion prediction method is used for coal gangue identification in top coal caving

Measurement Science and Technology
Abstract Top coal caving, a predominant technique for thick coal seam extraction, currently encounters significant challenges related to ‘over-mining’ and ‘under-mining’ during operational implementation. Current coal-gangue identification techniques exhibit notable limitations, while various sensor-based detection methods face ...
Jiahao Ma, Bo Li, Rui Xia, Juanli Li, Xuewen Wang   +4 more
openaire   +1 more source

Fast identification of coal gangue based on FAST corner point detection Method

2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP), 2023
Xiaoxu Fan, Yaosong Xu
openaire   +1 more source

Intelligent identification and mechanism analysis of kaolinite-bearing rocks from coal gangue via dual-energy X-ray and gradient boosting

Minerals Engineering
The high-value utilization of coal gangue necessitates the precise identification of valuable minerals such as kaolinite-bearing rocks. However, efficient and intelligent methods for mineral-level identification remain a challenge. This study proposes an intelligent identification method by integrating dual-energy X-ray transmission (DE-XRT) with a ...
Xiaomin Ma, Yifeng Kang, Yuping Fan, Xianshu Dong, Haitao Zhao   +4 more
openaire   +1 more source

Identification of coal and gangue based on R value method for dual-energy X-ray of Geant4 simulation

Environmental Research, 2023
Gang Cheng
exaly