Results 251 to 260 of about 4,382,513 (303)
GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropy. [PDF]
Shiokawa H, Ishida S, Terayama K.
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Exploring the gap between theory and experiment at the three-phase contact line of polystyrene droplets on soft PDMS. [PDF]
Remini K +4 more
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Rendering knowledge graphs from aerospace dentistry processes for clinical decision support systems. [PDF]
Amith MT +6 more
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Pediatric Graves' orbitopathy: TRAb and FT-3 are also prognostic factors in children-A tertiary center study. [PDF]
Al-Ghazzawi K +7 more
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Advanced approach to mathematical modeling of the impurities diffusion in the process of water softening with limited particles sorption. [PDF]
Chaplya Y +5 more
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Neumann series and Lommel functions of two variables
Integral Transforms and Special Functions, 2016ABSTRACTWe obtain several new results for Neumann series of Bessel functions as well as for its various special cases. The generalization of some well-known results for these kind of series, such as the Graf's addition theorem, are also established.
B. Fejzullahu
semanticscholar +5 more sources
Mechanical Systems and Signal Processing, 2021
In this paper, a novel damage detection method for shear frame structures was presented. The proposed approach was derived from frequency response function (FRF) measurements before and after damage. Using a Neumann series technique, the damaged FRF data
Zirong Niu
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In this paper, a novel damage detection method for shear frame structures was presented. The proposed approach was derived from frequency response function (FRF) measurements before and after damage. Using a Neumann series technique, the damaged FRF data
Zirong Niu
semanticscholar +3 more sources
Neumann series of Bessel functions
Integral Transforms and Special Functions, 2012Recently Pog\'any and S\"uli [Proc. Amer. Math. Soc. 137(7)(2009) 2363--2368] derived a closed-form integral expression for Neumann series of Bessel functions. In this note our aim is to establish another kind of integral representations for Neumann series of Bessel functions of the first kind $J_\nu.$
Baricz, Arpad +2 more
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Scalable Semi-Supervised Classification via Neumann Series
Neural Processing Letters, 2015Traditional graph-based semi-supervised learning (GBSSL) algorithms usually scale badly due to the expensive computational burden. The main bottleneck is that they need to compute the inversion of a huge matrix. In order to alleviate this problem, this paper proposes Neumann series approximation (NSA) to explicitly approximate the inversion process ...
Chen Gong +4 more
semanticscholar +2 more sources

