A variable-level automated defect identification model based on machine learning
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-03942-3
Abstract: Static analysis tools, automatically detecting potential source code defects at an early phase during the software development process, are diffusely applied in safety-critical software fields. However, alarms reported by the tools need to be inspected… read more here.
Keywords: model; machine learning; variable level; defect identification ... See more keywords
Real-time defect identification of narrow overlap welds and application based on convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2021.01.012
Abstract: Abstract To improve the quality of narrow overlap welds and reduce cost during the high-strength production, it is essential to detect weld defects promptly by identification of the type of defects to provide solution accordingly.… read more here.
Keywords: time; defect identification; identification; narrow overlap ... See more keywords
Intelligent Identification Method of Insulator Defects Based on CenterMask
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3179975
Abstract: Insulator defect is one of the most important factors for the grid power transmission accidents. However, up till now, traditional insulator defect identification methods cannot meet the requirements of high-speed transmission and high pixel ratio… read more here.
Keywords: based centermask; insulator defect; defect identification; identification ... See more keywords
Automated Skin Defect Identification System for Orange Fruit Grading Based on Genetic Algorithm
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DOI: 10.18520/cs/v112/i08/1704-1711
Abstract: Using machine vision technology to grade oranges can ensure that only good-quality fruits are exported. One of the most prominent issues in the post-harvest processing of oranges is the efficient determination of skin defects with… read more here.
Keywords: system; fruit; skin defect; genetic algorithm ... See more keywords
Peanut Defect Identification Based on Multispectral Image and Deep Learning
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DOI: 10.3390/agronomy13041158
Abstract: To achieve the non-destructive detection of peanut defects, a multi-target identification method based on the multispectral system and improved Faster RCNN is proposed in this paper. In terms of the system, the root-mean-square contrast method… read more here.
Keywords: defect identification; peanut; texture; based multispectral ... See more keywords