The separation of coal gangue is a critical step in coal preparation, and accurate
identification of coal gangue is a prerequisite for successful separation. However …

Recent rapid advancements in the coal industry have led to the development of intelligent
visual coal-gangue sorting. Combining deep learning and machine vision can effectively …

The recognition and sorting of coal and gangue are an important part of the process of
reducing costs and improving production efficiency. In this paper, under the influence of long …

Coal and gangue (black-gray solid wastes in coal) recognition is vital to avoid waste of
resources and pollution of the environment during the coal production. Considering their …

Owing to the enormous demand for and growing large-scale use of coal in the China, India,
and USA, speculation has arisen about possible hazards to environmental quality and …

Aiming at the environment of low illumination, high dust, and heavy water fog in coal mine
driving face and the problems of occlusion, coincidence, and irregularity of bolt mesh laid on …

Coal is one of the most important sources in China. The separation of coal and gangue is a
key link in coal mining, and its intellectualization promotes the intelligent development of …

Intelligent gangue sorting with high precision is of vital importance for improving coal quality.
To tackle the challenges associated with coal gangue target detection, including algorithm …

The identification of coal/gangue plays an important role in improving resource utilization
and reducing environmental pollution. Since surface character of coal and gangue is closed …

Foreign objects in coal flow easily cause damage to conveyor belts, and most foreign
objects are often occluded, making them difficult to detect. Aiming at solving the problems of …