Zobrazeno 1 - 10
of 26
pro vyhledávání: '"G. A. Shim"'
Publikováno v:
Вестник университета, Vol 0, Iss 4, Pp 5-12 (2022)
Modern digital technologies have become an important factor in improving the quality of public administration in the services provision by government bodies and structures and in ensuring sustainable development and economic growth. There is a certai
Externí odkaz:
https://doaj.org/article/dd61a8abf5d04328b5668f20ee9a7c6e
Publikováno v:
eXPRESS Polymer Letters, Vol 13, Iss 9, Pp 794-805 (2019)
In order to overcome the issues of rework and height difference in the manufacturing of smart devices, UV/UV stepwise curing was conducted on acrylate-based optically clear adhesives. Photo differential scanning calorimetry was used to confirm the re
Externí odkaz:
https://doaj.org/article/bf41546f5be84e20baaa8c7fe7b61f2b
Publikováno v:
eXPRESS Polymer Letters, Vol 13, Iss 9, Pp 794-805 (2019)
In order to overcome the issues of rework and height difference in the manufacturing of smart devices, UV/UV stepwise curing was conducted on acrylate-based optically clear adhesives. Photo differential scanning calorimetry was used to confirm the re
Influence of Co content on the biocompatibility and bio-corrosion of super ferritic stainless steels
Publikováno v:
Metals and Materials International. 14:729-738
Bio-metals require high corrosion resistance, because their biocompatibility is closely related to this parameter. Bio-metals release metal ions into the human body, leading to deleterious effects. Allergies, dermatitis, and asthma are the predominan
Publikováno v:
Journal of Statistical Physics. 91:125-153
Using a probabilistic approach, the parallel dynamics of fully connected Q-Ising neural networks is studied for arbitrary Q. A novel recursive scheme is set up to determine the time evolution of the order parameters through the evolution of the distr
Publikováno v:
International Journal of Neural Systems. :655-664
Using a signal-to-noise analysis, the effects of nonlinear modulation of the Hebbian learning rule in the multi-class proximity problem are investigated. Both random classification and classification provided by a Gaussian and a binary teacher are tr
Publikováno v:
Journal of Physics A: Mathematical and General. 26:3697-3705
The authors investigate the effects of the synaptic noise in neural networks at finite temperatures. The analytic results are obtained through the use of the path-integral formulation which facilitates performing the quenched average over the random
Publikováno v:
Physical Review A. 45:1238-1248
The layered feedforward neural network is extended to a q-state Potts-glass model. The Potts-glass version of the network is realized by imposing local inhibition on a group of Ising spins and introducing competitive updating rules on them. The dynam
Publikováno v:
Physical Review A. 43:7012-7018
Publikováno v:
Physical Review A. 43:1079-1089