Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Within Artificial Intelligence, Deep Learning (DL) represents a paradigm that has been
showing unprecedented performance in image and audio processing by supporting or even …

Railway stations are essential aspects of railway systems, and they play a vital role in public
daily life. Various types of AI technology have been utilised in many fields to ensure the …

Surface defect detection is a crucial component in industrial production. Many algorithms
based on computer vision have been successfully applied to surface defect detection, but …

Active fault diagnosis is one of the latest frontiers in the field of fault diagnosis, which can
improve fault diagnosis performance by redesigning the control input for specific faults …

Fastener needs to be monitored and inspected periodically to ensure the rail's safety due to
its easily damaged accessory for railway infrastructure. Recently, Industrial Internet of Things …

Real-time fault detection for freight trains plays a vital role in guaranteeing the security and
optimal operation of railway transportation under stringent resource requirements. Despite …

The current train image fault detection model does not consider detection accuracy and
speed, and its parameters and calculation amount are large. Consequently, the model …

Efficient visual fault detection of freight trains is a critical part of ensuring the safe operation
of railways under the restricted hardware environment. Although deep learning-based …

The metallurgical industry is the manufacturing industry with the highest carbon emissions in
China. Carbon emission in blast furnace accounts for 73.6% of the total long process flow …