Then, we use the 1D spatial attention algorithm to calculate the spatial sequence features, which can obtain the y-axis attention. By combining the operations of both sections, we obtain ...

This paper proposed a new one dimensional complex-valued convolution neural network (1D CVCNN) model to diagnose power switch open-circuit fault of three-phase inverter-fed PMSM system. The 1D CV ...

The header convolution.hpp provides several convolution operations both in 1D (vector) and 2D (matrix). The header mutiplication.hpp provides the matrix multiplication operation. mmul is the naive ...

In May 2021, a Hualong One reactor also began commercial operation at the Karachi nuclear plant’s Unit 1 in Pakistan, and Unit 2 came online a year later in April 2022.

A one-dimensional signal is convolved with a one-dimensional convolution kernel to generate an input feature map. Then the input feature maps are passed through the activation function to generate the ...

In the process of 1D-CAE model training, the encoder first extracts the features of S -parameters using convolution layers and pooling layers, which are then mapped to the coupling matrix by the ...

When I try to run iree-build/iree/tools/iree-opt --iree-mhlo-to-linalg-on-tensors file.mlir on iree-main/iree/test/e2e/models/edge_detection.mlir I am getting error ...