Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

Digitalization represents a paramount process started some decades ago, but which
received a strong acceleration by Industry 4.0 and now directly impacts all the process and …

In recent years, more and more scholars devoted themselves to the research of the target
detection algorithm due to the continuous development of deep learning. Among them, the …

The publication presents a picture of modern steelworks that is evolving from steelworks 3.0
to steelworks 4.0. The paper was created on the basis of secondary sources of information …

Strip steel surface defects occur frequently during the manufacturing process, and these
defects cause hidden risks in the use of subsequent strip products. Therefore, it is crucial to …

People with disabilities have long been ignored. With the advancement of recent
technologies, so many tools and software are designed for disabled people to improve their …

Surface-defect detection is crucial for assuring the quality of strip-steel manufacturing. Strip-
steel surface-defect detection requires defect classification and precision localization, which …

摘要针对数据集样本数量较少会影响深度学习检测效果的问题, 提出了一种基于改进生成对抗
网络和MobileNetV3 的带钢缺陷分类方法. 首先, 引入生成对抗网络并对生成器和判别器进行 …

The technological transformation in the European steel industry is driven by digitalization,
which has the potential to strongly contribute to improving production efficiency and …

Digitalization is a key enabling factor of the dramatic transformation of metal industry since
the 90-ies. Important applications were implemented since then, exploiting multi-physical …