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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...
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Boundary-aware residual network for defect detection in strip steel products
Strip steel is crucial in many industrial fields as an important industrial material. Automatic detection of strip steel surface defects can...
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A Novel Defect Detection Sensor Based on Lorentz Force
In this paper, a novel MEMS defect detection sensor based on Lorentz force is designed. The bow beam structure is proposed, 3D model is established...
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Low-cost defect simulation framework for analog and mixed signal (AMS) circuits with enhanced time-efficiency
Defect-oriented testing is becoming increasingly popular in recent times, especially in safety-critical applications in automotive, space, and...
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Deep U-NET Based Heating Film Defect Inspection System
This study introduces a real-time, high-resolution image inspection system that utilizes multiple cameras and deep learning algorithms for the...
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Establishment Method for Hard-Alpha Defect Distribution Curve of Titanium Alloy of Aero-Engine Life-Limited Parts Considering the Effect of Hot Processing
Manufacturing defects in life-limited parts of aero-engines, such as hard alpha inclusions and machining scratches, seriously threaten the safety of...
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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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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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Rail Internal Defect Detection Method Based on Enhanced Network Structure and Module Design Using Ultrasonic Images
Improving the detection accuracy of rail internal defects and the generalization ability of detection models are not only the main problems in the...
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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...
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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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Segmentation and Detection of Industrial Surface Defect Based on Deep Neural Network
In the manufacturing of industrial products, traditional methods of surface inspection do not meet the increasing quality standards in manufacturing....
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A Defect Data Compensation Model for Infrared Thermal Imaging Based on Bi-LSTM with Attention Mechanism
The infrared thermal imager presents unique advantages in plate fault detection and prediction. However, during the data collection process, three...
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Defect Diagnosis Techniques for Silicon Customer Returns
This chapter presents an overview of the various approaches and techniques proposed so far for defect diagnosis in silicon customer returns. It...
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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...
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Permute-MAML: exploring industrial surface defect detection algorithms for few-shot learning
Computer vision has developed rapidly in recent years, invigorating the area of industrial surface defect detection while also providing it with...
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Tomography of wall-thinning defect in plate structure based on guided wave signal acquisition by numerical simulations
The integrity of plate structures in numerous facilities and vehicles is essential for ensuring safety. Guided wave testing is a prominent...
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Machine learning and sensor-based approach for defect detection in MEX additive manufacturing process- A Review
Defect detection in the material extrusion process is of prime importance to enhance the production of high-quality parts with more complex designs...
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A spatial–spectral adaptive learning model for textile defect images recognition with few labeled data
Textile defect recognition is a significant technique in the production processes of the textile industry. However, in the practical processes, it is...
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Method of surface defect detection for agricultural machinery parts based on image recognition technology
At present, the large use of agricultural machinery for agricultural production has increased the efficiency of agricultural production, thus greatly...
