Search
Search Results
-
A novel defect detection system for complex freeform surface structures
In recent years, freeform surfaces have been widely used in various industries with the rapid development of manufacturing technology. However, the...
-
Insulator defect detection in complex scenarios based on cascaded networks with lightweight attention mechanism
The power system stands as a crucial infrastructure pivotal to the country’s modern economic, security and social development. This paper addresses...
-
Design of Concrete Mock-Ups with Complex Defect Scenarios Using Numerical Simulations
The major objective when applying non-destructive testing (NDT) in civil engineering is the detection of defects such as honeycombs. Defects can...
-
Donor-induced electrically charged defect levels: examining the role of indium and n-type defect-complexes in germanium
Defect levels induced by defect-complexes in Ge play important roles in device fabrication, characterization, and processing. However, only a few...
-
Influence of Defect Thermodynamics on Self-Diffusion in Complex Concentrated Alloys with Chemical Ordering
Self-diffusion kinetics in crystalline alloys depend on both equilibrium concentrations and diffusivities of point defects; mostly vacancy defects...
-
Defect Severity Classification of Complex Composites Using CWT and CNN
Composite structures are prone to internal defects such as delamination. Due to this, it is vital to recognize internal flaws in composite materials...
-
Image-Multimodal Data Analysis for Defect Classification: Case Study of Semiconductor Defect Patterns
The final goal of this study is an integrated approach of walk-through from the classification of defect products to the feature estimation for...
-
Defect inspection in semiconductor images using FAST-MCD method and neural network
Most defect inspection methods used in semiconductor manufacturing require design layout or golden die images. Unlike methods that require such...
-
Entropy Based Defect Detection for Patterned Fabrics
This research work focuses on identifying defects in patterned textiles, which are essential for improving fabric quality and reducing financial...
-
A deep learning model for steel surface defect detection
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...
-
DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection
Steel surface defect detection is crucial in manufacturing, but achieving high accuracy and real-time performance with limited computing resources is...
-
Machine Learning Support for Logic Diagnosis and Defect Classification
Innovative manufacturing processes allow the integration of billions of transistors into a single chip, and the implementation of extremely dense...
-
Wood Defect Inspection on Dead Knots and Pinholes Using YOLOv5x Algorithm
Accurate detection of wood defects is crucial for ensuring the quality and reliability of wood pieces in various industries such as construction and...
-
Deep Learning-Based Integrated Circuit Surface Defect Detection: Addressing Information Density Imbalance for Industrial Application
In this study, we aimed to address the primary challenges encountered in industrial integrated circuit (IC) surface defect detection, particularly...
-
Defect Edge Detection and Quantitative Calculation of Reconstructed Thermal Images
In Chapter 6, two methods are provided to obtain the defect localization information of stitched reconstructed thermal images. In this chapter,...
-
LGP-YOLO: an efficient convolutional neural network for surface defect detection of light guide plate
Light guide plate (LGP) is a key component of liquid crystal display (LCD) display systems, so its quality directly affects the display effect of...
-
Yolo-sd: simulated feature fusion for few-shot industrial defect detection based on YOLOv8 and stable diffusion
Defect detection from images, an important application in the development of the industrial internet, has been gaining increasing attention due to...
-
EEMNet: an end-to-end efficient model for PCB surface tiny defect detection
The miniaturization of electronic products has led to the denser and more crowded wiring on printed circuit boards (PCBs), which has made PCB defects...
-
Semi-supervised auxiliary learning for surface defect detection and segmentation of injection-molded products from small image datasets
Accurate detection of injection molding defects plays a crucial role in effective quality control of injection-molded products. This paper presents a...
-
A Survey of PCB Defect Detection Algorithms
Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The reliability of the electronic product depends on the...
