A deep learning method based on multi-scale fusion for noise-resistant coal-gangue recognition
Coal-gangue recognition technology plays an important role in the intelligent realization of integrated working faces and coal quality improvement. However, the existing methods are easily affected by high dust, noise, and other disturbances, resulting ...
Q. Song +5 more
semanticscholar +1 more source
Coal/Gangue Recognition Using Convolutional Neural Networks and Thermal Images
Recognition and separation of Coal/Gangue are important phases in the coal industries for many aspects. This paper addressed the topic of Coal/Gangue recognition and built a new model called (CGR-CNN) based on Convolutional Neural network (CNN) and using
M. S. Alfarzaeai +4 more
semanticscholar +1 more source
Groundwater vulnerability to pollution in degraded coal mining areas: modifying the DRASTIC method using the factor of exploitation impact on land surface [PDF]
Mining activities such as underground exploitation of hard coal deposits and open cast mining are strong factors on groundwater depending on mine life cycle phases.
Bukowski, Przemysław +4 more
core +2 more sources
Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11
The current methods for detecting coal gangue face several challenges, including low detection accuracy, a high probability of missed detections, and inadequate real-time performance.
Hongjing Tao +4 more
semanticscholar +1 more source
Mining Safety and Sustainability I [PDF]
Safety and sustainability are becoming ever bigger challenges for the mining industry with the increasing depth of mining. It is of great significance to reduce the disaster risk of mining accidents, enhance the safety of mining operations, and improve ...
core +1 more source
Study of reduction behavior of iron ore lumps by coal [PDF]
Studies on the reduction behavior of hematite iron ore (OMC Ltd.) lumps with coal at different temperatures with varying time were undertaken to understand the effect of time and temperature on degree of reduction.
Kabijeet, K, Kumar, A
core
On the academic ideology of “Sorting the gangue is sorting the images” [PDF]
Coal gangue sorting is the most basic, effective, and important technical measure to improve coal quality. Improving the accuracy and efficiency of coal gangue sorting is a serious challenge faced by coal gangue sorting.
Hongwei MA +7 more
core +1 more source
Green Low-Carbon Technology for Metalliferous Minerals [PDF]
Metalliferous minerals play a central role in the global economy. They will continue to provide the raw materials we need for industrial processes.
core +1 more source
Recovering the lost gold of the developing world : bibliographic database [PDF]
This report contains a library of 181 references, including abstracts, prepared for Project R 7120 "Recovering the lost gold of the developing world" funded by the UK' s Department for International Development (DFID) under the Knowledge and Research (
Evans, E.J., Mitchell, C.J.
core
A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM
Accurate identification of coal and gangue is a crucial guarantee for efficient and safe mining of top coal caving face. This article proposes a coal-gangue recognition method based on an improved beluga whale optimization algorithm (IBWO), convolutional
Wenchao Hao +4 more
semanticscholar +1 more source

