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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... -
An effective defect engineering strategy for giant photoluminescence enhancement of MoS2 monolayers
Two-dimensional (2D) transition metal dichalcogenide (TMDC) materials are considered as promising candidates to extend Moore’s Law. However, the low...
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Percutaneous Ventricular Septal Defect Closure
Percutaneous Ventricular Septal Defect (VSD) closure has become a viable alternative to surgery for certain perimembranous and most muscular... -
Molecular Pathways and Animal Models of Atrial Septal Defect
The relative simplicity of the clinical presentation and management of an atrial septal defect belies the complexity of the developmental... -
A note on defect Mellin amplitudes
We generalize the Mellin representation for a generic co-dimension flat defect CFT. We study the analytic structure of the Mellin amplitudes. We also...
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Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network
Automatic micro-defect detection is crucial for promoting efficiency in the production lines of patterned OLED panels. Recently, deep learning...
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Atrial Septal Defect: Left Atrial Appendage
The first part of this chapter presents a step-by-step approach for the transcatheter closure of a septal defect in patients with clinical and... -
Development of a new critical size defect model in the paranasal sinus and first approach for defect reconstruction—An in vivo maxillary bone defect study in sheep
Fractures of the paranasal sinuses often require surgical intervention. Persisting bone defects lead to permanent visible deformities of the facial...
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Software defect prediction: future directions and challenges
Software defect prediction is one of the most popular research topics in software engineering. The objective of defect prediction is to identify...
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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... -
Towards Robust Defect Detection in Casting Using Contrastive Learning
Defect detection plays a vital role in ensuring product quality and safety within industrial casting processes. In these dynamic environments, the... -
Machine-learning structural reconstructions for accelerated point defect calculations
Defects dictate the properties of many functional materials. To understand the behaviour of defects and their impact on physical properties, it is...
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Entropy defect in thermodynamics
This paper describes the physical foundations of the newly discovered “entropy defect” as a basic concept of thermodynamics. The entropy defect...
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Plane Defect Detection Based on 3D Point Cloud
In the production of industrial products, surface defect detection is mostly carried out through manual inspection. However, this detection method... -
Damage Modelling and Initiation of Defect
Fracture mechanics is generally not accurate to model the full scenario of degradation of solids under mechanical loading. In the preceding chapter,... -
Defect in cyclotomic Hecke algebras
The complexity of a block of a symmetric algebra can be measured by the notion of defect, a numerical datum associated with each of the simple...
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Lifecycle-Based Software Defect Prediction Technology
In order to improve the efficiency and quality of software testing, aiming at various factors affecting software reliability, how to find defective... -
Does the angle of trocar insertion affect the fascial defect caused? A porcine model
IntroductionWith an incidence of 0–5.2%, trocar site hernias frequently occur following laparoscopy. It is unclear to what extent the angle of trocar...
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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....
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Steel surface defect detection based on MobileViTv2 and YOLOv8
To address the issue of low detection accuracy of steel surface defects due to complex texture background interference and complex defect morphology,...