Deep learning is a sub-field of artificial intelligence that combines feature engineering and
classification in one method. It is a data-driven technique that optimises a predictive model …

Application of drone technology combined with LiDAR and Virtual Reality/Augmented
Reality in surface mining operational optimization is growing on a high trajectory. The …

The method of vision with laser-assisted can better realize the measurement of conveyor
load, which is the basis for realizing intelligent speed regulation and energy-saving …

Effective monitoring of spoil pile heights resulting from dragline dumps is critical in mining
space management both safely and productively, particularly, during active overburden (OB) …

Abstract Conventional IoT wearable sensor Taekwondo motion image recognition model
mainly uses Anchor fixed proportion whole body target anchor frame to extract recognition …

Nowadays, open-pit mining is the large-scale extraction of valuable ore materials from the
surface with the use of modern mining equipment. If not operated properly, various …

Ensuring bridge safety and longevity through precise vehicle load characterization is crucial
for maintaining structural integrity and efficiency. This research highlights the efficacy of …

In order to solve the problem that the slope surface diseases cannot be accurately identified,
which cannot be repaired in time and cause serious slope disasters, a slope intelligent …

Accurately determining the payload weight of trucks is important to efficient operation, which
directly affects cost accounting. This study presents a method for estimating the volume of …

An improved U-Net based convolutional neural network (CNN) is proposed in this paper for
online size monitoring of iron ore pellets. The proposed CNN model is a lightweight version …