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-type terms and nonlocal convolutional terms arising in the description of reaction–diffusion processes

. The differential properties of the convolution are described in terms of its modulus of continuity of arbitrary

database. The proposed method involves the utilization of a 16-layer deep one-dimensional convolutional

LS without signals at the departure instants. In the paper, we develop an efficient convolution algorithm

of the electrocardiogram classifier is proposed, as an ensemble of a two-dimensional convolutional neural network and a

with fine-tuned Convolutional Neural Networks (CNNs).

-uniform multi-label classification for HR estimation. It includes two convolution layers, two short and long

processing techniques, including extensions of topic models and convolutional neural networks (CNN). We apply

for the convolution u = G*f in terms of the behavior of kernel near the origin, and at the infinity. In our paper

This paper provides some generalized convolutions for the Fourier integral transforms and treats

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