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Titlebook: Jewish Perceptions of Antisemitism; Gary A. Tobin,Sharon L. Sassler Book 1988 Gary A. Tobin 1988 antisemitism.Judaism.perception

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Gary A. Tobin,Sharon L. Sassler using ground motion models, and (iii) no information is available. A numerical case study of a structure in a seismic area is presented, and the effect of different prior information scenarios on the VoI is discussed. The results show that VoI is higher when the prior information is low, indicating
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Gary A. Tobin,Sharon L. Sasslersimulation and parameter optimization can be done on the FCN full convolutional neural network model on a larger scale, and the image recognition algorithm will be improved. The data set simulation research results show that the crack damage identification accuracy obtained by the deep learning meth
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Gary A. Tobin,Sharon L. Sassleronly used for civil engineering structures monitoring: (1) The proposed displacement sensor can achieve a better accuracy (around 2 mm) and a better sampling rate (up to 100 Hz) compared to the conventional GPS-RTK sensors, and (2) The performance is less affected by weather conditions, multipath pr
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n the ANN. In the present paper, two types of networks are considered. One is Radial Basis Function (RBF) network and other is feed forward network. For each material total of 60 sets of data were collected. Part of the data is used to train the ANN and remaining data is used to test the trained ANN
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