Introducción a Deep Learning System To Detect Cracks In Nuclear Power Plants
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Research Update: The semantic segmentation for road surface crack detection Purdue University Assistant Professor of Civil Engineering Mohammad Jahanshani describes a remote imaging
Road Cracks Detector UNET, semantic segmentation, Keras, Tensorflow, Deep learning.
Resumen y datos destacados de Deep Learning System To Detect Cracks In Nuclear Power Plants
- Cracks detection
- Link for the published journal article: https://doi.org/10.1016/j.cemconcomp.2020.103781 Investments in managing the ageing civil ...
- Trial service of High Speed Optical Inspection and Data Analytic for the plinth of APM
- CRAQ is a prototype software developed at Smart Informatix Laboratory (https://web.ics.purdue.edu/~jahansha/index.html) at ...
- Here you can see an acquisition of a tunnel took with the TunnelScan
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