AIMC Topic: Coal

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Study on recognition of coal and gangue based on multimode feature and image fusion.

PloS one Feb 9, 2023
Aiming at the problems of low accuracy of coal gangue recognition and difficult recognition of mixed gangue rate, a coal rock recognition method based on modal fusion of RGB and infrared is proposed. A fully mechanized coal gangue transportation test...
Neural Networks, Computer Coal
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Rapid proximate analysis of coal based on reflectance spectroscopy and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 25, 2022
Proximate analysis of coal is of profound significance for understanding coal quality and promoting rational utilization of coal resources. Traditional coal proximate analysis mainly uses chemical analysis methods, which have the disadvantages of slo...
Neural Networks, Computer Deep Learning Carbon Coal Spectrum Analysis
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Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM.

International journal of environmental research and public health Oct 8, 2022
Coal and gas outbursts seriously threaten the mining safety of deep coal mines. The evaluation of the risk grade of these events can effectively prevent the occurrence of safety accidents in deep coal mines. Characterized as a high-dimensional, nonli...
Algorithms Risk Assessment Support Vector Machine Coal
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Intelligent Identification of Coal Crack in CT Images Based on Deep Learning.

Computational intelligence and neuroscience Sep 23, 2022
Automatic segmentation of coal crack in CT images is of great significance for the establishment of digital cores. In addition, segmentation in this field remains challenging due to some properties of coal crack CT images: high noise, small targets, ...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Coal
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Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis.

BMC pulmonary medicine Jul 15, 2022
PURPOSE: This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP).
Humans Prospective Studies Deep Learning Pneumoconiosis Anthracosis Coal X-Rays Coal Mining
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A Multiobjective Hybrid Optimization Algorithm for Path Planning of Coal Mine Patrol Robot.

Computational intelligence and neuroscience Jun 23, 2022
In the complex underground environment, the paths planned for coal mine patrol robot are often too long and unsmooth under the influence of low visibility and poor road conditions. To solve the problems, this paper improves the hybrid algorithm betwe...
Software Algorithms Computer Simulation Animals Robotics Coal
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CAP-YOLO: Channel Attention Based Pruning YOLO for Coal Mine Real-Time Intelligent Monitoring.

Sensors (Basel, Switzerland) Jun 8, 2022
Real-time coal mine intelligent monitoring for pedestrian identifying and positioning is an important means to ensure safety in production. Traditional object detection models based on neural networks require significant computational and storage res...
Neural Networks, Computer Coal Image Enhancement
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Experimental analysis and parameter optimization on the reduction of NOx from diesel engine using RSM and ANN Model.

Environmental science and pollution research international Apr 30, 2022
The major emission sources of NO are from automobiles, trucks, and various non-road vehicles, power plants, coal fired boilers, cement kilns, turbines, etc. Plasma reactor technology is widely used in gas conversion applications, such as NOx conversi...
Neural Networks, Computer Coal Vehicle Emissions
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FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction.

Sensors (Basel, Switzerland) Apr 18, 2022
Coal burst prediction is an important research hotspot in coal mine production safety. This paper presents FDNet, which is a knowledge and data fusion-driven deep neural network for coal burst prediction. The main idea of FDNet is to extract explicit...
Neural Networks, Computer Coal
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Coal Mine Safety Evaluation Based on Machine Learning: A BP Neural Network Model.

Computational intelligence and neuroscience Mar 14, 2022
As the core of artificial intelligence, machine learning has strong application advantages in multi-criteria intelligent evaluation and decision-making. The level of sustainable development is of great significance to the safety evaluation of coal mi...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Coal Coal Mining
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