The aim of this paper is to understand the importance of modeling the dynamic of industrial systems using Recurrent Neural Network (RNN) and report the ...
In this paper, a deep learning approach to 3D textile geometry simulations is presented. Two different network architectures with convolutional and recurrent ...
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Sep 8, 2021 · In this work we propose a novel and fully automated method for extracting the yarn geometrical features in woven composites so that a direct ...
This study explores previous research efforts concerning prediction models related to the textile and polymer industry, especially garment seam strength, ...
Artificial Neural Network Prosperities in Textile Applications · model to predict the unevenness of polyester/viscose blended open-end rotor spun yarns.
Read article about Application of Neural Networks in Fabric Engineering and more articles about Textile industary at Fibre2Fashion.
Jun 26, 2021 · The proposed approach employs two deep neural network architectures (U-Net and Mask RCNN). First, we train the U-Net to generate synthetic ...
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The application of neural networks to model a full-scale industrial wastewater treatment plant has been studied. A hybrid first-principles neural network ...
This case study uses Recurrent Neural Networks (RNNs) to predict electricity consumption based on historical data. The "Electricity Consumption'' dataset ...
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Apr 10, 2018 · A recurrent network may consist of a single layer of neurons, with each neuron feeding its output signals back to inputs of all other neurons.