Magnetic anomaly detection (MAD) is one of the most effective methods for engineering and
environmental geophysical exploration, and plays an important role in scientific research …

Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet
their specifications. However, manual QA processes are costly and time-consuming, thereby …

Fabric defects detection plays a critical role in the quality control of textile manufacturing
industry. It is still a challenge to realize accurate fabric defects detection due to variations of …

It seems to be a truism to say that we should pay more and more attention to network traffic
safety. Such a goal may be achieved with many different approaches. In this paper, we put …

With the development of industrial video technology, the use of cameras rather than a variety
of expensive sensors to obtain process or product data has gained more attention. One of …

This study presents a novel analytical framework that merges queueing theory with deep
neural networks to optimize facility layout and transporter selection in manufacturing …

The furnace combustion state of coal-fired power plants is difficult to accurately monitor
during low-load and dynamic operation conditions, thus hindering the secure and economic …

Anomaly detection is crucial for the stable operation of mechanical systems, securing
financial transactions, and ensuring network security, among other critical areas. Presently …

In the industrial production process, unsupervised visual inspection methods have obvious
advantages over supervised visual inspection methods due to the scarcity of defect samples …

Anomaly detection is essential for the monitoring and improvement of product quality in
manufacturing processes. In the case of semiconductor manufacturing, where large amounts …