Results 21 to 30 of about 28,962 (257)
Analytic Solution of Integral Equation Involving Spheroidal Wave Functions of Three Variables. [PDF]
Kirkuk Journal of Science, 2012 In this paper Laplace transform and convolution theorem are used to solve integral equation involving spheroidal wave functions(S.W.F.) of 3-variables of the form where are the spheroidal wave function:- which represents the function ...
Qumri H. Hamko, Talhat I. Hassan
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Deep Convolutional Sum-Product Networks
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 We give conditions under which convolutional neural networks (CNNs) define valid sum-product networks (SPNs). One subclass, called convolutional SPNs (CSPNs), can be implemented using tensors, but also can suffer from being too shallow. Fortunately, tensors can be augmented while maintaining valid SPNs.
Cory J. Butz +3 more
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Representation of spectra of algebras of block-symmetric analytic functions of bounded type
Karpatsʹkì Matematičnì Publìkacìï, 2016 The paper contains a description of symmetric convolution of the algebra of block-symmetric analytic functions of bounded type on $\ell_{1}$-sum of the space $\mathbb{C}^{2}.$ We show that the specrum of such algebra does not coincide of point evaluation
V.V. Kravtsiv, A.V. Zagorodnyuk
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CONVOLUTION SUM OF RAMANUJAN'S SUM
, 2022 This article is the result of calculating the convolution of Ramanujan's sum and natural number multiplied. Among these results, special values are expressed by Euler and Bernoulli functions.
Hwan Jo, Gye +2 more
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Deconvolved Fractional Fourier Domain Beamforming for Linear Frequency Modulation Signals
Sensors, 2023 To estimate the direction of arrival (DOA) of a linear frequency modulation (LFM) signal in a low signal-to-noise ratio (SNR) hydroacoustic environment by a small aperture array, a novel deconvolved beamforming method based on fractional Fourier domain ...
Zhuoran Liu +3 more
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A Characterization of Symmetric Stable Distributions
Journal of Function Spaces, 2016 Characterization problems in probability are studied here. Using the characteristic function of an additive convolution we generalize some known characterizations of the normal distribution to stable distributions.
Wiktor Ejsmont
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Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation
FEBS Letters, EarlyView.Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz +11 more
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Direct and Hierarchical Models for Aggregating Spatially Dependent Catastrophe Risks
Risks, 2019 We present several fast algorithms for computing the distribution of a sum of spatially dependent, discrete random variables to aggregate catastrophe risk. The algorithms are based on direct and hierarchical copula trees.
Rafał Wójcik +2 more
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A surface graph based deep learning framework for large-scale urban mesh semantic segmentation
International Journal of Applied Earth Observations and Geoinformation, 2023 The acquisition of large-scale 3D urban scene by photogrammetry and remote sensing is becoming faster and easier in recent years. As one of the important steps to help machines understand scenarios, mesh semantic segmentation has received extensive ...
Yetao Yang +3 more
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
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