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Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …
Recent developments in computer vision and artificial intelligence aided intelligent robotic welding applications
The welding process, which is an indispensable part of the manufacturing industry, has
been in demand for years and continues to attract the attention of researchers. With the …
been in demand for years and continues to attract the attention of researchers. With the …
ROS-Industrial based robotic cell for Industry 4.0: Eye-in-hand stereo camera and visual servoing for flexible, fast, and accurate picking and hooking in the production …
The fourth industrial revolution envisages the use of modern smart technologies to automate
traditional manufacturing and industrial practices. However, industrial robots execute mostly …
traditional manufacturing and industrial practices. However, industrial robots execute mostly …
Efficient localization in warehouse logistics: a comparison of LMS approaches for 3D multilateration of passive UHF RFID tags
Abstract The Fourth Industrial Revolution, or Industry 4.0, aims at automating traditional
manufacturing and industrial practices using modern smart technology. Autonomous mobile …
manufacturing and industrial practices using modern smart technology. Autonomous mobile …
RFID gazebo-based simulator with RSSI and phase signals for UHF tags localization and tracking
Radio Frequency Identification (RFID) technology is becoming very popular in the new era
of Industry 4.0, especially for warehouse management, retails, and logistics. RFID systems …
of Industry 4.0, especially for warehouse management, retails, and logistics. RFID systems …
On the effect of the attention mechanism for automatic welding defects detection based on deep learning
Attention mechanism has been widely used deep learning applications for automatic
welding defect detection. Literature suggested that the attention mechanism slightly …
welding defect detection. Literature suggested that the attention mechanism slightly …
[HTML][HTML] Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments
Welding is an extensively used technique in manufacturing, and as for every other process,
there is the potential for defects in the weld joint that could be catastrophic to the …
there is the potential for defects in the weld joint that could be catastrophic to the …
Bi-directional convolutional recurrent reconstructive network for welding defect detection
Nowadays, the welding process is essential in various manufacturing industrial fields, such
as aerospace, vehicle production, and shipbuilding. The welding defects caused in the …
as aerospace, vehicle production, and shipbuilding. The welding defects caused in the …
[HTML][HTML] SE-RRACycleGAN: Unsupervised Single-Image Deraining Using Squeeze-and-Excitation-Based Recurrent Rain-Attentive CycleGAN
In computer vision tasks, the ability to remove rain from a single image is a crucial element to
enhance the effectiveness of subsequent high-level tasks in rainy conditions. Recently …
enhance the effectiveness of subsequent high-level tasks in rainy conditions. Recently …
Robotic MAG welding defects and quality assessment with a defect threshold decision model-driven method
The use of machine vision and deep learning methods for online monitoring and evaluation
of welding quality during the welding process and timely detection and correction of welding …
of welding quality during the welding process and timely detection and correction of welding …