With advances in technology, the issue of object detection and recognition has gained
significant recognition in the field of computer vision. There are currently several algorithms …

The underground coal mine production of the fully mechanized mining face exists many
problems, such as poor operating environment, high accident rate and so on. Recently, the …

The great success of deep learning in the field of computer vision provides a development
opportunity for intelligent information extraction of remote sensing images. In the field of …

In indoor environments, such as smart homes, the number of occupants within the space
and their moving directions can provide a rich set of contextual information about the …

This paper addresses the efficiency of two feature extraction methods for classifying small
metal objects including screws, nuts, keys, and coins: the histogram of oriented gradients …

An analysis of scar tissue is necessary to understand the pathological tissue conditions
during or after the wound healing process. Hematoxylin and eosin (HE) staining has …

This work proposes an application of unsupervised deep learning (DL) on 2-D images
containing VI diagrams of measured railway pantograph quantities to find patterns in …

Due to the inherent periodicity of the angle, the direction of the object detected by the current
rotating object detection algorithm is fuzzy. In order to solve this problem, this paper …

Tea is an important economic product in China, and tea picking is a key agricultural activity.
As the practice of tea picking in China gradually shifts towards intelligent and mechanized …

Recognition of various human emotions holds significant value in numerous real-world
scenarios. This paper focuses on the multimodal fusion of speech and text for emotion …