How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

In order to understand the structure and functioning of the brain, neuroscientists need to study the complex, ...

Liu, L. and Si, Y. (2022) 1D Convolutional Neural Networks for Chart Pattern Classification in Financial Time Series. The Journal of Supercomputing, 78, 14191-14214. Login ...

convolutional neural network; Sort by: Most popular. ... neural network Vector illustration of molecular structure and genetic engineering, molecules DNA, neural network, scientific research. Abstract ...

A coal gangue image recognition method based on complex conditions is proposed to address the current issue of image-based coal gangue recognition being greatly affected by complex conditions. First, ...

Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics Saurabh Deshpande 1 Raúl I. Sosa 2 † Stéphane P. A. Bordas 1 * Jakub Lengiewicz 1,3 1 ...

In recent years, Convolutional Neural Network (CNN), as a deep learning algorithm, has been widely used in many fields such as computer vision and speech recognition. In the field of geological ...

Toward the development of effective and efficient brain–computer interface (BCI) systems, precise decoding of brain activity measured by an electroencephalogram (EEG) is highly demanded. Traditional ...