To quantify the progress of corrosion damage and develop pipeline integrity management
strategies, it is necessary to establish a reliable corrosion growth model. Due to the …

Welding quality directly affects the welding structure's service performance and life. Hence,
the effective monitoring welding defects is essential to ensure the quality of the weld …

Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a
neural network. It has many applications in the field of banking, automobile industry …

Fish species identification is vital for aquaculture and fishery industries, stock management
of water bodies and environmental monitoring of aquatics. Traditional fish species …

According to various worldwide statistics, most car accidents occur solely due to human
error. The person driving a car needs to be alert, especially when travelling through high …

There is a growing demand for carbon fiber-reinforced plastics (CFRPs) in the aerospace
and automotive industries. Consequently, the assembly and repair of CFRP components …

Satellite images have drawn increasing interest from a wide variety of users, including
business and government, ever since their increased usage in important fields ranging from …

Traditional Image Processing Techniques (IPT), used for automating the detection and
classification of weld defects from radiography images, have their own limitations, which can …

Supervised learning with the restriction of a few existing training samples is called Few-Shot
Learning. FSL is a subarea that puts deep learning performance in a gap, as building robust …

In order to realize the non-destructive intelligent identification of weld surface defects, an
intelligent recognition method based on deep learning is proposed, which is mainly formed …