Paper
A review on modern defect detection models using DCNNs – Deep convolutional neural networks
Published Apr 23, 2021 · Andrei-Alexandru Tulbure, A. Tulbure, E. Dulf
Journal of Advanced Research
Q1 SJR score
164
Citations
1
Influential Citations
Abstract
Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.
Study Snapshot
Key takeawayDeep learning models like Region based CNNs, YOLO, SSD, and cascaded architectures can be easily re-purposed for defect detection, contributing to increased productivity in the manufacturing industry.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.
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