The data should be in a text file with two columns (Raman shift and Intensity) separated by any commonly used delimiter. The script also accepts .wdf files (generated by the WIRE software of Renishaw ...

Abstract: Automated surface defect detection for products attracts lots of interest in the industry, which is typically an image classification task. Although convolutional neural networks (CNNs) with ...

The ability to detect and track fetal growth is greatly aided by medical image analysis, which plays a crucial role in parental care. This study introduces an attention-guided convolutional neural ...

This tutorial presents and explains examples of the deconvolution of hydrophone measurement data. The motivation for performing deconvolution is that, in many cases, measurements of ultrasonic signals ...

ABSTRACT: In this paper, we perform a comprehensive explanation of the geophysical inversion of gravity data, as well as, how it can be used to determine the Moho undulation and the crustal structure.

Deep learning surrogate models are being increasingly used in accelerating scientific simulations as a replacement for costly conventional numerical techniques. However, their use remains a ...

Caramel is made with sugar and water, while dulce de leche is made with sugar and milk. Both can be used to top and fill desserts, but authentic recipes may call specifically for dulce de leche. Make ...

Graph convolution networks (GCNs) have been widely used in the field of skeleton-based human action recognition. However, it is still difficult to improve recognition performance and reduce parameter ...

Find De Convolution stock video, 4K footage, and other HD footage from iStock. High-quality video footage that you won't find anywhere else.

Abstract: Although deep learning has made significant impact on image/video restoration and super-resolution, learned deinterlacing has so far received less attention in academia or industry. This is ...