Feb 10, 2017 · This paper addresses the problem of structure identification for multilayer networks, which is an important topic but involves a challenging ...
This paper addresses the problem of struc- ture identification for multilayer networks, which is an important topic but involves a challenging inverse problem.
Jul 19, 2020 · This paper addresses the problem of structure identification for multilayer networks, which is an important topic but involves a challenging ...
In this paper, a method for identifying structures of multilayer networks is proposed via compressive sensing and Taylor expansion. By using this method ...
May 20, 2019 · In this paper, a method for identifying structures of multilayer networks is proposed via compressive sensing and Taylor expansion. By using ...
May 20, 2019 · In this paper, a method for identifying structures of multilayer networks is proposed via compressive sensing and Taylor expansion. By using ...
A compressed sensing-based method with low-rank constraint is proposed for effective data acquisition and signal reconstruction in the energy-constrained ...
Missing: Identification | Show results with:Identification
Apr 19, 2023 · A new method based on compressive sensing is proposed for identifying the disease propagation paths in two-layer networks.
In this paper, we propose a multi-scale DCS convolutional neural network (MS-DCSNet) in which we convert image signal using multiple scale-based wavelet.
Missing: Identification | Show results with:Identification
Compressive-sensing-based structure identification for multilayer networks. G Mei, X Wu, Y Wang, M Hu, JA Lu, G Chen. IEEE transactions on cybernetics 48 (2) ...