Abstract: Convolutional layers (CLs) are ubiquitous in contemporary deep neural network (DNN) models, commonly used for automatic feature extraction. A CL performs cross-correlation between the input ...

College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China ...

ConvolutionInterpolations.jl uses a new family of high-order convolution kernels to provide a single unified interface for interpolation, differentiation, integration and smoothing - from ...

Predicting the response of cell lines to characteristic drugs based on multi-omics gene information has become the core problem of precision oncology. At present, drug response prediction using ...

Abstract: Convolution and matched filtering are often used to detect a known signal in the presence of noise. The probability of detection and probability of missed detection are well known and widely ...

Creating high-quality polygonal meshes which represent the membrane surface of neurons for both visualization and numerical simulation purposes is an important yet nontrivial task, due to their ...

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