Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Reference42 articles.
1. Athanasiou A, Ebrahimkhanlou A, Zaborac J, Hrynyk T, Salamone S (2020) A machine learning approach based on multifractal features for crack assessment of reinforced concrete shells. Comput Civ Infrastruct Eng 35(6):565–578. https://doi.org/10.1111/mice.12509
2. Brownlee J (2019) How to Manually Scale Image Pixel Data for Deep Learning, Machine Learning Mastery https://machinelearningmastery.com/how-to-manually-scale-image-pixel-data-for-deep-learning/#:~:text=Pixel.values are often unsigned,expected training of the model
3. Cho S, Kim B, Kim G (2019) Application of deep learning-based crack assessment technique to civil structures, Fifth conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR-2019), pp. 1–8
4. Christian Koch PF, Georgieva K, Kasireddy V, Akinci B (2015) A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Adv Eng Inform 29(2):196–210. https://doi.org/10.1016/j.aei.2015.01.008
5. de Lucena DS, da Silva WRL (2018) “Concrete cracks detection based on deep learning image classification,” MDPI Proc, https://doi.org/10.3390/ICEM18-05387
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