logo
ResearchBunny Logo
Deep learning corrosion detection with confidence

Engineering and Technology

Deep learning corrosion detection with confidence

W. Nash, L. Zheng, et al.

Discover how researchers Will Nash, Liang Zheng, and Nick Birbilis have developed a groundbreaking deep learning model for pixel-level corrosion segmentation, enhancing economic safety with confidence estimates. Their innovative approach outperforms existing solutions and brings new insights into decision-making processes!

00:00
00:00
Playback language: English
Citation Metrics
Citations
57
Influential Citations
1
Reference Count
47
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning
Medicine and Health

Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning

E. K. Yenice, C. Kara, et al.

Deep learning-enabled real-time personal handwriting electronic skin with dynamic thermoregulating ability
Engineering and Technology

Deep learning-enabled real-time personal handwriting electronic skin with dynamic thermoregulating ability

S. Xiang, J. Tang, et al.

Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial
Medicine and Health

Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial

T. J. Yun, J. W. Choi, et al.

Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning
Chemistry

Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning

D. F. Nippa, K. Atz, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny