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Lorenzo De Marinis, Marco Cococcioni, Odile Liboiron-Ladouceur, Giampiero Contestabile, Piero Castoldi and Nicola Andriolli
Reconfigurable linear optical processors can be used to perform linear transformations and are instrumental in effectively computing matrix?vector multiplications required in each neural network layer. In this paper, we characterize and compare two therm...
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Vladimir Popov
After detonation synthesis, primary nanodiamond particles are around 4?6 nm in size. However, they join into agglomerates with larger parameters and weak bonds between particles. The introduction of agglomerates into a metal matrix can lead to the weakne...
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Laura Miller and Raimondo Penta
Within this work, we upscale the equations that describe the pore-scale behaviour of nonlinear porous elastic composites, using the asymptotic homogenization technique in order to derive the macroscale effective governing equations. A porous hyperelastic...
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Mykhailo Solomko,Nataliia Khomiuk,Yakiv Ivashchuk,Vitalii Nazaruk,Vikroriia Reinska,Liudmyla Zubyk,Anzhela Popova
Pág. 19 - 34
The studies have established the possibility of reducing computational complexity, higher productivity of minimization of the Boolean functions in the class of expanded normal forms of the Sheffer algebra functions by the method of image transformations....
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Oleksandr Reuta,Hadi Hab Raman,Dmitry Mozgovoy
Pág. 6 - 16
A matrix model of the representation of spatial objects for the synthesis, reconstruction, and analysis of their shape is proposed. The model is built on the basis of discrete data about the object, such as, for example, raster images or readings of spat...
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