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Parameter-Efficient Multi-classification Software Defect Detection Method Based on Pre-trained LLMs
Software Defect Detection (SDD) has always been critical to the development life cycle. A stable defect detection system can not only alleviate the...
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Software defect prediction model based on improved twin support vector machines
Software defect prediction contributes to ensuring the quality of software development and reducing software maintenance costs. However, the class...
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A Readiness Level Assessment Framework for Zero Defect Manufacturing (ZDM)
In this study, a comprehensive framework for assessing the readiness of production systems for Zero Defect Manufacturing (ZDM) has been developed and...
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Defect measurement in CFRP drilling based on digital image processing
Drilling-induced burr and delamination are the main defects in carbon fiber–reinforced polymers (CFRPs). Although substantial CFRP defect measurement...
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Vision Based Surface Defect Detection of Long-Distance and Steep-Slope FAST Cable
Aiming at problems of long-distance and steep-slope FAST (Five-hundred-meter Aperture Spherical radio Telescope) cable detection, a set of vision...
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Context receptive field and adaptive feature fusion for fabric defect detection
Textile defect detection is a key link in measuring textile quality. An accurate and efficient textile detection method is essential for textile...
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Digital Twin for a Zero-defect Operations Planning in Supply Chain 4.0
This research project proposes the development of a digital twinDigital twin (DT) that simulates the behavior of the zero-defect planning system of a...
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Modified Fusing-and-Filling Generative Adversarial Network–based few-shot image generation for GMAW defect detection using multi-sensor monitoring system
Multi-source information intelligent sensing and online weld quality evaluation are two challenging problems in complex welding scenes. The...
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A Study on Data Augmentation Techniques for Visual Defect Detection in Manufacturing
Deep learning-based defect detection is rapidly gaining importance for automating visual quality control tasks in industrial applications. However,...
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Development of an Autonomous Unmanned Aerial Vehicle for Rapid Aircraft Defect Detection
Visual investigation methods are conventionally applied during structural integrity inspection and defect detection. Inaccessible zones and field...
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Decade Milestone Advancement of Defect-Engineered g-C3N4 for Solar Catalytic Applications
Over the past decade, graphitic carbon nitride (g-C 3 N 4 ) has emerged as a universal photocatalyst toward various sustainable carbo-neutral...
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Defect Detection in Additive Manufacturing Using Computer Vision Monitoring
In additive manufacturing (AM) process, zero defect target is essential in industry. Before the component is completed, corrective actions are...
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Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection
The printed circuit board (PCB) is an indispensable component of electronic products, which determines the quality of these products. With the...
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A defect recognition model for cross-section profile of hot-rolled strip based on deep learning
The cross-section profile is a key signal for evaluating hot-rolled strip quality, and ignoring its defects can easily lead to a final failure. The...
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A Feature-Based Transfer Learning Method for Surface Defect Detection in Smart Manufacturing
The employment of deep learning architecture for defect detection in the manufacturing industry has gained due attention owing to the advancement of...
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Defect Formation in Different Characteristic Areas During Variable-Curvature Shell Room-Temperature Stam** of Cast-Rolled AZ31 Alloy
Understanding the stam** behavior of cast-rolled AZ31 magnesium alloy sheets at room temperature is helpful to promote its deep processing...
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Defect Detection of Exposure Lead Frame Based on Improved YOLOX
In view of the unpredictable defects in the industrial lead frame production line, many factories invest a lot of manpower resources and material...
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Overview of Surface Defect Detection Methods Based on Deep Learning
In recent years, the surface defect detection method based on deep learning has become a popular research topic. This article will summarize the...
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Enhancing IOT based software defect prediction in analytical data management using war strategy optimization and Kernel ELM
The existence of software problems in IoT applications caused by insufficient source code, poor design, mistakes, and insufficient testing poses a...
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Automated Vision Application in Industrial Defect Identification
In spite of efforts aimed at reducing failures and incidents in industrial structures, there is still a risk of periodical incidence, which could...