A Convolutional Neural Network (CNN) is a multilayer network structure that includes single-layer convolutional neural networks. It utilizes operations such as convolution, nonlinear transformation, and downsampling to process input data, particularly successful in image feature representation and classificatio...
Subsequently, a graph-convolutional neural network-based surrogate learns parameter-dependent low-dimensional latent dynamics on the coarsest representation. Following surrogates are trained on residuals using finer resolutions, allowing for multiple surrogates with varying hardware requirements and increasing ...
Department of Mathematics, University of Padova, Padua, Italy Nicolò Navarin Department of Mathematics, University of Padova, Padua, Italy Alessandro Sperduti Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genova, Genoa, Italy ...
(4) as a sub function into the classical neural network. Then the gradient of a hybrid quantum-classical loss function would be able to be derived automatically using a hybrid quantum-classical computer. In this work the whole process is simulated using a classical computer. Training our ...
Sppn-Rn101: Spatial Pyramid Pooling Network with Resnet101-Based Foreign Object Debris Detection in Airports 2023, Mathematics Material Recognition Using Time of Flight Lidar Surface Analysis 2023, Proceedings of SPIE - The International Society for Optical Engineering View all citing articles on Scopus...
By a News Reporter-Staff News Editor at Network Daily News – New researchon Mathematics is the subject of a report. According to news reporting from Leuven, Belgium, by NewsRxjournalists, research stated, "The Convolutional Neural Network algorithm achieved a sensitivity of 94%and specificity of...
Mathematics 11:3069 Article Google Scholar Wang S, Wang J, Haiyan Lu, Zhao W (2021) A novel combined model for wind speed prediction – Combination of linear model, shallow neural networks, and deep learning approaches. Energy 234:121275 Article Google Scholar Nair KR, Vanitha V and Jis...
www.nature.com/labinvest ARTICLE A convolutional neural network model for survival prediction based on prognosis-related cascaded Wx feature selection Qingyan Yin 1 ✉, Wangwang Chen 1, Chunxia Zhang2 and Zhi Wei 3 © The Author(s), under exclusive licence to United States and Canadian ...
Given a batch of data X∈Rn×c×h×w and an L-layer convolutional neural network fθ(·) with ReLU as its activation function, let Zm∈R0+n×cm×hm×wm (1≤m≤M) be the output of the mth layer for X after convolution, batch normalization and ReLU, and Zjm∈R0+n×hm×wm denote...
We present a discontinuity detector constructed by deep neural networks. Using convolutional neural network (CNN) structure, we design a comprehensive set of synthetic training data. The data consist of randomly generated piecewise smooth functions evaluated at equidistance grids, with labels denoting trou...