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Theoretically, they can be predicted by a stochastic theory based on Foldy's (1945) approximation.
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In this research, a new computational system is developed to simulate four-dimensional (4D) ground movement by combining a stochastic medium theory, Knothe time-delay model and geographic information system (GIS) technology.
We start by reviewing the stochastic theory of chemical reactions; we do this in the general case where many species of interacting particles are present, even if in our application only one species is considered.
The compressive stress in alumina depends on the volume fraction and it is well predicted by a stochastic model based on information theory.
Alternatively, the stochastic theory of chromatography developed by Giddings and Eyring is founded on a molecular basis and relates the dispersion of peaks in chromatography to molecular adsorption interactions.
In [34], the proof relies on a stochastic averaging theory.
A stochastic based theory concerning the effect of sex on mutation clearance in small populations was originally proposed by Muller [ 26], and this idea has some experimental support [ 27].
The stochastic theory predicts that every tumor cell can form an entirely new tumor; however, entry into the cell cycle is a stochastic event with low probability.
This paper presents a novel approach which can detect NQR signals of very low SNRs in such scenarios, by combining a stochastic resonance framework and neural network theory.
We model the impact of imperfect CSI as a new interference by stochastic geometry theory.
Inspired by the stochastic approximation theory, a continuous-time version of the traditional value iteration (VI) algorithm is presented with rigorous convergence analysis.
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