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Intro
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Classroom Contents
Identifying and Assessing Damage in Infrastructure Using Topological Data Analysis and Machine Learning
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- 1 Intro
- 2 The Genoa bridge disaster
- 3 A growing risk
- 4 Damage Rating Index (DRI)
- 5 Necessity for a new method
- 6 The natural choice
- 7 Chosen approach
- 8 A revolutionary neural network architecture...
- 9 with groundbreaking performances
- 10 Main layers of a CNN I
- 11 Strengths of the CNN
- 12 Training data for segmentation
- 13 Segment the grey histogram of Pu
- 14 Failure of regular binarization methods
- 15 Persistent histogram segmentation
- 16 Alignment of the pictures
- 17 Cleaning of the homography artefacts
- 18 Result of the alignment
- 19 Finetuning
- 20 Crack segmentation process
- 21 Betti numbers
- 22 Interest of relative homology
- 23 Persistent homology
- 24 Total persistence dimension o
- 25 Maximal relative persistence dimension 1
- 26 Pipeline assessment
