This paper uses bibliometrics to characterize the knowledge systems of big data, artificial
intelligence (AI), and energy based on the Science Citation Index Extension (SCI-E) and …

Weld defect recognition plays an important role in the manufacturing process of large-scale
equipment. Traditional methods generally include several serial steps, such as image …

Due to the high level of precision and remarkable capabilities to solve the intricate problems
in industry and academia, convolutional neural networks (CNNs) are presented. Speech …

The intelligent diagnosis of wheel flat based on vibration image classification is a promising
research subject for performance maintenance of railway vehicles. However, the image …

The technology development greatly increases the amount of digital visual information.
Existing devices cannot efficiently process such huge amounts of data. The technical …

COVID-19 is a disease caused by SARS-CoV-2 that can arouse a respiratory tract infection.
Therefore, a rapid identification of clearly visualized infections is urgently needed, which can …

Hardware accelerators are widely used as computationally-intensive cores in consumer
electronics (CE) applications. However security and speed of such hardware accelerators …

The majority of applications use automatic image recognition technologies to carry out a
range of tasks. Therefore, it is crucial to identify and classify image distortions to improve …

Many approaches have been proposed in the literature to enhance the robustness of
Convolutional Neural Network (CNN)-based architectures against image distortions …

Monitoring products is important for quality and ripening control in an efficient agricultural
production process. Monitoring is mostly done with captured images and videos in …