Titlebook: Artificial Intelligence in Vision-Based Structural Health Monitoring; Khalid M. Mosalam,Yuqing Gao Book 2024 The Editor(s) (if applicable)

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Active Learninga. If the SSL method is employed, both labeled and unlabeled data can be utilized simultaneously, which can improve the AI model performance to some extent, as demonstrated with the BSS-GAN in Chap.?..

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,Le Grand Prix des Sciences Mathématiques,ween the input data and their corresponding labels. Compared with the other two categories, supervised learning is the most active branch in ML?research and is widely used in many current ML?applications.

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Basics of Machine Learningween the input data and their corresponding labels. Compared with the other two categories, supervised learning is the most active branch in ML?research and is widely used in many current ML?applications.

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Multi-task Learningion or separately focus on finding the location or area of the damage as a localization or segmentation problem. Abundant information in the images from multiple sources and inter-task relationships are not fully exploited.

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Practical applications of oils and fats,aset are ambiguous and subjective, because there is no explicit definition or specific threshold value to clearly separate them. It is also inappropriate and sometimes impossible to infer the results simply by examining the scale of the collected dataset without validation experiments.

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Structural Image Classificationaset are ambiguous and subjective, because there is no explicit definition or specific threshold value to clearly separate them. It is also inappropriate and sometimes impossible to infer the results simply by examining the scale of the collected dataset without validation experiments.