Results 71 to 80 of about 361 (167)

Research on Coal Gangue Recognition Based on Multi-source Time-Frequency Domain Feature Fusion. [PDF]

ACS Omega, 2023
Zhang Y, Yang Y, Zeng Q.
europepmc   +1 more source

Research on extraction of image gray information and texture features of coal and gangue image

Gong-kuang zidonghua, 2017
In view of problems of low identification accuracy and efficiency existed in most recognition method of coal and gangue image which only used gray mean and gray variance, an extraction method of gray information and texture features of coal and gangue ...
TAN Chunchao, YANG Jieming
doaj   +1 more source

Research on the Strong Generalization of Coal Gangue Recognition Technology Based on the Image and Convolutional Neural Network under Complex Conditions. [PDF]

ACS Omega, 2023
Xun Q, Yang Y, Liu Y.
europepmc   +1 more source

Coal and gangue segmentation and recognition method based on YOLOv5-SEDC model

Gong-kuang zidonghua
The existing coal and gangue segmentation and recognition technology has a large number of parameters, slow classification speed, and low recognition accuracy.
YANG Yang, LI Haixiong, HU Miaolong, GUO Xiucai, ZHANG Huipeng   +4 more
doaj   +1 more source

Research on separation mechanism of coal gangue photoelectric sorting recognition

Physicochemical Problems of Mineral Processing
How to efficiently realize the separation of coal gangue is a hot issue in coal preparation. In order to solve this problem, this paper proposes research on the identification and separation of minerals in coal gangue based on dual-energy X-rays, and conducts experimental research on four single minerals and several different composite minerals in coal
Haoyu Wang, Wei Zhou, Lingling Wang, An'an Feng, Jinbo Zhu   +4 more
openaire   +1 more source

Automatic Recognition of Coal and Gangue based on Convolution Neural Network

, 2017
We designed a gangue sorting system,and built a convolutional neural network model based on AlexNet. Data enhancement and transfer learning are used to solve the problem which the convolution neural network has insufficient training data in the training stage.
Hong, Huichao, Zheng, Lixin, Zhu, Jianqing, Pan, Shuwan, Zhou, Kaiting   +4 more
openaire   +2 more sources

Research on Image Segmentation and Defogging Technique of Coal Gangue Under the Influence of Dust Gradient

Applied Sciences
To address the challenges of low accuracy in coal gangue image recognition and poor segmentation performance under the influence of dust in underground coal mines, a scaled simulation platform was constructed to replicate the longwall top coal caving ...
Zhenghan Qin, Judong Jing, Libao Li, Yong Yuan, Yong Li, Bo Li   +5 more
doaj   +1 more source

Automatic control system of top coal caving on fully-mechanized coal mining face

Gong-kuang zidonghua, 2015
In view of problems of large randomness, low efficiency of coal caving of artificial operation for top coal caving mining face, an automatic control system of top coal caving on fully-mechanized coal mining face was designed.
WEI Wenya
doaj   +1 more source

Improved ORB-FLANN efficient matching method for coal gangue image

Meitan kexue jishu
In order to solve the problem of grasping failure or missing grasping due to the change of target gangue position and posture caused by belt slip, deviation and belt speed fluctuation of belt conveyor when the gangue sorting robot sorts gangue, an ...
Hongwei MA, Wenjian ZHOU, Peng WANG, Ye ZHANG, Yingjie ZHAO, Saisai WANG, Lang LI   +6 more
doaj   +1 more source

Research of coal and gangue interface recognition based on Mel frequency cepstrum coefficient and genetic algorithm

Gong-kuang zidonghua, 2013
In view of problems that γ ray method is not suitable for working face with no or little radioactive elements in roof and radar detection method has little detection range and serious signal attenuation which were used in current coal and gangue ...
HE Ai-xiang, WANG Ping-jian, WEI Guang-fen, ZHANG Shou-xiang   +3 more
doaj