Search
Search Results
-
Reconstruction of Metal Defect Images Based on the Sensitivity Matrix of High Conductivity Initial Estimate for Eddy Current Tomography
Eddy current testing is one of the conventional non-destructive testing (NDT) technologies which is widely used in metal defects detection. Defect...
-
Within-Project Defect Prediction
In order to improve the quality of a software system, software defect prediction aims to automatically identify defective software modules for...
-
Road Defect Detection Based on Yolov5 Algorithm
In response to the time-consuming and inconvenient drawbacks of traditional manual detection methods for pavement defect detection, coupled with the...
-
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...
-
Image-Based Fracture Surface Defect Characterization Methods for Additively Manufactured Ti-6Al-4V Tested in Fatigue
Fatigue initiation in additively manufactured samples/parts often occurs at processed-induced defects such as lack-of-fusion (LoF), keyhole, or other...
-
TD-Net:tiny defect detection network for industrial products
The detection of tiny defects in industrial products is important for improving the quality of industrial products and maintaining production safety....
-
Hybrid feature selection method for predicting software defect
To address the challenges associated with the abundance of features in software datasets, this study proposes a novel hybrid feature selection method...
-
Defect Detection Based on Improved YOLOx for Ultrasonic Images
Non-destructive testing is a method of detecting defects in materials or electronic components without causing damage to the detected objects. The...
-
Research on concrete structure defect repair based on three-dimensional printing
Quality assurance and maintenance play a crucial role in engineering construction, as they have a significant impact on project safety. One common...
-
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,...
-
PCB Defect Detection Using CNN-Based Deep Learning
The printed circuit board (PCB) industry relies heavily on the automatic optical inspection (AOI) system to increase yield rates. However,...
-
YOLOV4-Based Wind Turbine Blade Crack Defect Detection
Wind turbine blade is an important component of wind turbine. Wind turbine blade crack damage will cause hidden danger to the operation of wind...
-
Defect Development in Multilayer Composites under Static Loads
AbstractAlgorithms for taking account of the growth of damage in multilayer composites under static loads are studied. The most common defect in...
-
Surface Defect Detection Method of Strip Steel Based on Improved YOLOv5
A strip steel surface defect detection method called YOLOv5-ABS is developed in order to address the issues of low detection accuracy, insufficient...
-
Research on Insulator Defect Detection Based on Improved YOLOv7
Insulators are crucial components of the transmission and distribution networks, and they are prone to self-explosion under the influence of bad...
-
Surface Defect Detection Using Deep Learning: A Comprehensive Investigation and Emerging Trends
Surface defect detection is currently a topic that contributes important things in identifying and assessing defects based on surface appearances,...
-
Contrastive deep clustering for detecting new defect patterns in wafer bin maps
Wafer bin maps (WBMs) data, presented as images, play a critical role in identifying defects in the semiconductor industry. Thus, accurately...
-
Dual-Defect Engineering Strategy Enables High-Durability Rechargeable Magnesium-Metal Batteries
Rechargeable magnesium-metal batteries (RMMBs) are promising next-generation secondary batteries; however, their development is inhibited by the low...
-
Using Ensemble of Different Classifiers for Defect Prediction
One of the most important characteristics of a software is its quality. Software defects are more likely to occur when software designs become more...
-
Empirical validation of feature selection techniques for cross-project defect prediction
In software engineering, cross-project defect prediction is an important area in the field of defect prediction and change prediction. Software...
