The use of convolutional neural networks improved greatly data synthesis in the last years and have been widely used for data augmentation click here in scenarios where very imbalanced data is observed, such as land cover segmentation.Balancing the proportion of classes for training segmentation models can be very challenging considering that sampl
The conventional polyphase 355 maybelline fit me architecture for linear-phase finite impulse response (FIR) filter loses its coefficient symmetry property due to the inefficient arrangement of the filter coefficients among its subfilters.Although, existing polyphase structures can avail the benefits of coefficient symmetry property, at the cost of
Abstract Background Visceral adiposity indicators and the product of triglyceride and fasting plasma glucose (TyG) index-related parameters are effective surrogate markers for insulin resistance (IR) and are predictors of metabolic syndrome and diabetes mellitus.However, their genetic determinants have not been previously reported.Pleiotropic assoc
As mixed traffic between automated vehicles and human drivers in inner city becomes more prevalent in the near future understanding and predicting drivers’ behavior is important.Additionally, there is a wide variety of inner city intersections.They vibrating table for chocolate can differ greatly in traffic density, visibility, number of obj