Titlebook: Advances in Non-Destructive Evaluation (NDE); Conference Proceedin Bikash Ghose,Venugopal Manoharan,Ravibabu Mulavees Conference proceeding

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https://doi.org/10.1007/978-3-642-92628-0e-dimensional skin-modeled surfaces are considered on the base of distinct thermophysical characteristics of the surface, metabolic heat generation rate, blood perfusion, and probing depths of the skin. The concerned parameters for analysis are examined within the native physiological range of the s

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Erratum to: Vom Nutzen der Pflanzen,h NDE approaches (Rebound hammer and Ultrasonic pulse velocity meter) for lab sized concrete cube for 28?days. Later, the same experimental results are post processed using deep learning models like convolutional neural network (CNN), long short-term memory (LSTM) and CNN-LSTM hybrid model. The good

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Grundzüge der analytischen Makro?konomieatio of output to input amplitude of horn) within permissible stress limits. The standard criteria “Maximizing the magnification factor where the corresponding equivalent von-Mises stresses are within the permissible limit at a specified resonant frequency” is considered in the horn design to avoid

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,Interaktion von Arbeits- und Gütermarkt,to adopt such inspection technologies, which are faster, reliable, and more informative for taking timely action and decision for run, repair, and replacement of components. Many conventional NDE methods for surface and volumetric inspections have undergone rapid advancement with growth in technolog

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Grundzüge der analytischen Makro?konomieToF) for that sensor region. The reflected signal’s time of flight from the waveguide reflectors (notches) is used to measure the surface temperature of the hot plate at multiple locations. The change in time of flight (δToF) has been used to calibrate the spiral strip waveguide sensor with co-locat