Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

The detection of product defects is essential in quality control in manufacturing. This study
surveys stateoftheart deep-learning methods in defect detection. First, we classify the defects …

Deep learning applications have been thriving over the last decade in many different
domains, including computer vision and natural language understanding. The drivers for the …

Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

In modern manufacturing, vision-based defect recognition is an essential technology to
guarantee product quality, and it plays an important role in industrial intelligence. With the …

This paper aims to achieve real-time and accurate detection of surface defects by using a
deep learning method. For this purpose, the Single Shot MultiBox Detector (SSD) network …

Industrial defect detection is a hot topic in the field of computer vision. It is a challenging task
due to complex features and many categories of industrial defects. In this paper, a deep …

Intelligent fault diagnosis of bearings is an essential issue in the field of health management
and the prediction of rotating machinery systems. The traditional bearing intelligent …

Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and railway
transport is no exception. However, due to the plethora of different new terms and meanings …

A novel resonant tri-coil transducer is proposed to induce thermoacoustic (TA) signals for
detecting rail internal defects. It consists of a ferrite plate-backed tri-coil and its associated …