JOURNAL ARTICLE

Real-time detection of steel corrosion defects using semantic and instance segmentation models based on deep learning

Yılmaz YılmazSafa NayırŞakir Erdoğdu

Year: 2025 Journal:   Materials Today Communications Vol: 44 Pages: 112050-112050   Publisher: Elsevier BV
Keywords:
Materials science Segmentation Corrosion Deep learning Artificial intelligence Pattern recognition (psychology) Metallurgy Computer science

Metrics

3
Cited By
7.19
FWCI (Field Weighted Citation Impact)
62
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Infrastructure Maintenance and Monitoring
Physical Sciences →  Engineering →  Civil and Structural Engineering
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Non-Destructive Testing Techniques
Physical Sciences →  Engineering →  Mechanical Engineering
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