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Delamination size estimation in composite laminates by using deep neural networks, especially image segmentation and RNNs.

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IFFM-PAS-MISD/aidd

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aidd

The aim of the project is the development of an Artificial Intelligence (AI) driven diagnostic system for delamination identification in composite laminates reinforced by carbon fibres.

Project Organization

.
├── AUTHORS.md
├── LICENSE
├── README.md
├── bin
│   └── external
├── config
├── data
│   ├── external
│   │   ├── exp
│   │   └── num
│   ├── interim
│   │   ├── exp
│   │   └── num
│   ├── processed
│   │   ├── exp
│   │   └── num
│   └── raw
│       ├── exp
│       └── num
├── docs
│   ├── manuals
│   ├── proposal
│   └── published_papers
├── notebooks
├── reports
│   ├── conference_papers
│   ├── figures
│   │   ├── corel_draw
│   │   └── grapher
│   ├── journal_papers
│   ├── presentations
│   └── project_reports
└── src
    ├── data_processing
    ├── external
    ├── models
    │   └── common
    ├── tools
    └── visualization

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Delamination size estimation in composite laminates by using deep neural networks, especially image segmentation and RNNs.

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