2   Artículos

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en línea
Elena Loli Piccolomini, Marco Prato, Margherita Scipione and Andrea Sebastiani    
In this paper, we propose a new deep learning approach based on unfolded neural networks for the reconstruction of X-ray computed tomography images from few views. We start from a model-based approach in a compressed sensing framework, described by the m... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang    
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta... ver más
Revista: Applied Sciences    Formato: Electrónico

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