LSTM FCN models, from the paper LSTM Fully Convolutional Networks for Time Series Classification, augment the fast classification performance of Temporal Convolutional layers with the precise ...

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

Abstract: Fault diagnosis is important to stable operation of power systems, and the machine-learning-based fault-diagnosis models were widely studied because of their strong generalization ability.

Computer-Controlled Sub-Aperture Polishing enables high-precision surface correction using small tools. Material removal is controlled by dwell time modulation along toolpaths, but the discontinuous ...

Abstract: The goal of this paper is to define a convolution operation which transfers image processing and pattern matching to vector fields from flow visualization. For this, a multiplication of ...

Aiming at the problem of pollution insulator discharge mode monitoring in high voltage line, a new one-dimensional convolutional neural network structure (1D-CNN) was designed, and a pollution ...

This repository is the offical Pytorch implementation of Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose (ECCV 2020). Below is the overall pipeline of ...