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Titlebook: Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning; A Practical Strategy Alireza Entezami,Bahareh Behka

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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/l/image/588580.jpg
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https://doi.org/10.1007/978-3-031-53995-4Structural Health Monitoring; SHM; environmental and operational changes; civil structures; Hamiltonian
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From Theory to Reality: Advanced SHM Methods to the Tadcaster Bridge,lacement responses of a masonry bridge called the Tadcaster Bridge located in Tadcaster, UK. Because this bridge experienced a partial collapse, it is an appropriate case study for verifying the proposed methods. This chapter also indicates how a data augmentation process can help to better observe the EOCs in augmented displacement responses.
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Conclusions and Prospects for Structural Health Monitoring,tion the main conclusions of the proposed methods in both numerical and experimental validation stages. Due to the importance of SHM and the benefits of remote sensing, some suggestions are given to further evaluate in future research activities.
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A Revolution Yet to Be Accomplished: Reviewing Luigi Pasinetti, , (2009)had been working since the late 1930s. It is a pleasing symmetry then that Pasinetti’s volume has also been published in the second half of his eighth decade and that it, too, draws together themes on which the author has been working for a life time.
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