Deep learning based real-time and in-situ monitoring of weld penetration: Where we are and what are needed revolutionary solutions?
Abstract Welding Procedure Designed assures the desired weld penetration be produced
under nominal welding conditions. When conditions deviate from the nominal, penetration …
under nominal welding conditions. When conditions deviate from the nominal, penetration …
Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review
Recent years have seen a substantial increase in the application of machine learning (ML)
for automated analysis of nondestructive examination (NDE) data. One of the applications of …
for automated analysis of nondestructive examination (NDE) data. One of the applications of …
A video-based vehicle counting system using an embedded device in realistic traffic conditions
M Lücking, E Rivera, L Kohout… - 2020 IEEE 6th World …, 2020 - ieeexplore.ieee.org
One of the most important features of smart cities is efficient traffic monitoring. Currently,
many monitoring approaches focus on video-processing techniques using traffic …
many monitoring approaches focus on video-processing techniques using traffic …
Deep Learning techniques for Object Detection in Images: Exploratory Study
The aim of computer vision is to visualize the data available in images or videos. Visualizing
such objects by machine is known as object detection in images. It is one of the most recent …
such objects by machine is known as object detection in images. It is one of the most recent …
焊点压痕图像采集实验系统设计及图像预处理分析.
张旭强， 万渤麟， 于志浩 - Experimental Technology & …, 2023 - search.ebscohost.com
焊点压痕特征能够反映电极磨损和焊点质量的变化, 然而压痕特征不规则且难以量化提取的特点
制约了对压痕特征, 电极磨损和焊点质量关系的进一步研究, 因此该研究利用图像识别方法实现 …
制约了对压痕特征, 电极磨损和焊点质量关系的进一步研究, 因此该研究利用图像识别方法实现 …
NDE in the automotive sector
RG Maev, A Chertov, R Scott, D Stocco… - Handbook of …, 2021 - Springer
Industrial manufacturing and nondestructive evaluation (NDE) are simultaneously
undergoing their fourth revolutions, termed Industry 4.0 and NDE 4.0, respectively. Industry …
undergoing their fourth revolutions, termed Industry 4.0 and NDE 4.0, respectively. Industry …
A Class-Conditioned Deep Neural Network to Reconstruct CT Volumes from X-Ray Images: Depth-Aware Connection and Adaptive Feature Fusion
MAR Ratul - 2021 - ruor.uottawa.ca
X-ray and Computed Tomography (CT) are two of the most usual imaging systems for the
medical domain in order to inspect the body's inside, check the major organs, and internal …
medical domain in order to inspect the body's inside, check the major organs, and internal …
[PDF][PDF] Surgical Workflow Anticipation
K Yuan - 2021 - caiac.ca
As a non-robotic minimally invasive surgery, endoscopic surgery is one of the widely used
surgeries for the medical domain to reduce the risk of infection, incisions, and the discomfort …
surgeries for the medical domain to reduce the risk of infection, incisions, and the discomfort …