A Physics-Based Computational Forward Model for Efficient Image Reconstruction in Magnetic Particle Imaging. [PDF]
IEEE Trans Med ImagingSanders T +5 more
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Acyclic and star coloring parameters of fractal cubic networks. [PDF]
Sci RepRenuga C +3 more
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MediONN: an integrated photonic chip optical neural network for deep learning-based semantic segmentation in early detection of pancreatic cancer. [PDF]
Biomed Opt ExpressYang CJ +6 more
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Automated multi-class ECG arrhythmia detection using VMD and multi-task optimization. [PDF]
Sci RepKrishna YM +5 more
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M-PSGP: a momentum-based proximal scaled gradient projection algorithm for nonsmooth optimization with application to image deblurring. [PDF]
Front Big DataNing K, Lü Q, Liao X.
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Input-driven circuit reconfiguration in critical recurrent neural networks. [PDF]
Proc Natl Acad Sci U S AMagnasco MO.
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On circulant weighing matrices [PDF]
Australas. J Comb., 1998 A circulant weighing matrix \(W\) of order \(n\) with weight \(k\) is a square matrix of order \(n\) with elements from \(\{0,1,-1\}\) such that \(WW'= kI_n\) and in which each row (except the first row) is obtained by its preceding row by a right cyclic shift. Necessary conditions for the existence of such matrices are obtained and several of them are
Arasu, K. T ., Seberry, Jennifer
core +3 more sources
Hadamard matrices constructed by circulant and negacyclic matrices [PDF]
Australas. J Comb., 2006 The Hadamard matrices of order \(4n\) for all integers \(n> 0\) is an unsolved problem for over a century. In 1944 \textit{J. Williamson} [Duke Math. J. 11, 68--81 (1944; Zbl 0060.03202)] gave a method called the sum of four squares for constructing Hadamard matrices.
Xia, Tianbing +3 more
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