Overstaffing production in underground coal mining is not convenient for daily management,
and incomplete information of coal miners hinders the rescue process of firefighters during …

Coal-rock identification is the core technology to realize an intelligent coal mining, which has
become a technical problem in the field of coal mining. In view of the low accuracy of coal …

Aiming at the problems of low speed, low efficiency, fluctuating accuracy and difficulty in
practical application of traditional coal gangue identification methods based on image …

The unfavorable factors of underground coal such as dark light, uneven illumination, band
shadowing greatly make it difficult to recognize the coal rock at the mining workface …

For the traditional machine learning methods rely on manual experience and deep learning
classification model depth and complex structure, resulting in poor gangue classification …

As machine vision technology has advanced, pig face recognition has gained wide attention
as an individual pig identification method. This study establishes an improved ResNAM …

In order to effectively identify unsafe behaviors of subway construction workers, an unsafe
behavior recognition method combining behavior and identity recognition was proposed …

Automatic coal-rock recognition is one of the critical technologies for intelligent coal mining
and processing. Most existing coal-rock recognition methods have some defects, such as …

In view of the problem that it is difficult to construct a deep learning model with small sample
data and the low recognition rate of multi-scale morphology and color coal gangue under …

Highlights A pig face recognition model that cascades the pig face detection network and pig
face recognition network is proposed. The pig face detection network can automatically …