This paper presents the use of neural networks for fiber content analysis. More specifically the discrimination between the cashmere fiber and the wool fiber is ...

This paper presents for the first time, to our knowledge, the use of neural networks for fiber content analysis. More specifically the discrimination between ...

Dec 2, 2024 · Application of convolutional neural networks and ensemble methods in the fiber volume content analysis of natural fiber composites. Author ...

Feb 2, 2022 · Here, we present an open, automated computational pipeline to detect fibers from a tomographically reconstructed X-ray volume. We apply our ...

Jun 1, 2022 · In this work, a novel approach for prediction and classification of the intrinsic mechanical properties of cellulosic fibers utilizing an ...

We use a neural network trained from experimental cut-back measurements of a doped fiber. With fast, accurate predictions of noise figure and gain, we find ...

Oct 22, 2024 · Artificial neural networks are used to predict the fibre orientation within a compression moulded composite by training the network on fibre ...

A qualitative nondestructive technique for fiber identification was developed using near infrared (NIR) spectroscopy. A neural network was trained to ...

Dec 2, 2024 · In this blog, we introduce the advantages of using neural networks for short fiber composite model over traditional methods for modeling SFRCs.

Nov 24, 2022 · Our method achieves this by finding in segmented µCT scans the centerline of all individual fibers. It uses a convolutional neural network that ...