Internal-Pipe-Corrosion-Assessment-with-Ultrasound-and-CNNs
importedsoftware/internal-pipe-corrosion-assessment-with-ultrasound-and-cnns
This study introduces a dual-mode methodology for quantifying pipe corrosion by employing ultrasound technology in conjunction with convolutional neural networks (CNN).
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- nslab-cuk.github.io/
- Documentation
- unknown
- Tags
- convolutional-neural-networks · ultrasonic-sensor · ultrasound
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- UltrasonicTestingultrasonic-sensor · ultrasound
Ultrasonic testing (UT) is a family of non-destructive testing techniques based on the propagation of ultrasonic waves in the object or material tested.
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Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation
- airpiconvolutional-neural-networks
AI-assisted rapid phase imaging for 4D-STEM
- automatic-ecg-diagnosisconvolutional-neural-networks
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".
- axondeepsegconvolutional-neural-networks
Axon/Myelin segmentation using Deep Learning
- api.github.com/repos/NSLab-CUK/Internal-Pipe-Corrosion-Assessment-with-Ultrasound-and-CNNsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-07-23, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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