Operation modal analysis has become an alternative for structures in which input data is difficult to measure. The sensitivity-based operational mode shape normalization technique was originally introduced by Parloo et al. in 2002. The technique has been widely used and is still receiving a ...
Mass, stiffness and damping matrices from measured modal parameters
The proposed approach is based on the fusion of information from two modalities at image feature level with different normalization techniques to improve the performance of breast mass classification. Gabor filters are used to retrieve texture features from mammograms, shape and structural features are ...
and in six serial mouse brain sections measured separately with MALDI-FTICR-MSI (Supplementary Fig.28). We also tested the effects of common intensity normalization techniques, i.e., total-ion-count (TIC) and root-mean-squared (RMS) normalization, on the observed outcomes (Supplementary Figs.2...
The U-Net involves doubling the number of filters during each downsampling block and applying batch normalization layers for regularization and increasing the learning rate. The trained model achieves a sensitivity of 0.94 for mass segmentation and a sensitivity of 0.98 for overall image classification...
three hidden layers in the fully connected neural network.cBatch normalization for neural network regularization.dStatistical analysis on the neural-network weight parameter was used to pinpoint usefulm/zfeatures. Used under the terms of the Creative Commons Attribution 4.0 International License124. Copy...
and in six serial mouse brain sections measured separately with MALDI-FTICR-MSI (Supplementary Fig.28). We also tested the effects of common intensity normalization techniques, i.e., total-ion-count (TIC) and root-mean-squared (RMS) normalization, on the observed outcomes (Supplementary Figs....
which—assuming normalization in Eq. (8b), is equal, and thus often used interchangeably, with maxr|u(m)(r)|. For other normalization schemes, this relationship might be more complex. The above equations should be treated as definitions of the effective quantities, and thus yield identical nu...
areas of the raw spectra, averaging of technical repeats, binning of neighboring points to reduce data complexity, removal of the spectral area below baseline and normalization of the total ion current (TIC), was performed according to procedures considering to be standard in the field [34, 35]...
Encoders are represented by Convolution layer + Batch Normalization (blue blocks), and Activation layer (dark blue blocks). Decoders are represented by Transposed convolution (green blocks), and Convolution layer + Activation layer (light blue blocks). Full size image The transition between the ...