Quantitative analysis of fast and slow diffusion from abdominal Diffusion-weighted MRI has the potential to provide important new insights into physiological and microstructural properties of the body. However, the commonly used, independent voxel-wise fitting of the signal decay model leads to imprecise parameter estimates, which has hampered their practical usage. In this work we evaluated th...

Introduction. Whitham's averaged equations [1] for a nonlinear evolution system describe slow modulations of parameters on a family of periodic traveling wave solutions (or on families of multiphase quasiperiodic solutions, which are so far knows to exist only for integrable equations) and are a system of hydrodynamic type [2, 3], that is, of the form

This paper investigates a problem of passive mitigation vibratory instabilities caused by two unstable modes means single nonlinear energy sink (NES). For this purpose, linear four-degree-of-freedom (DOF) primary structure having (reproducing the typical dynamic behavior friction system) and undergoing, as it is linear, unbounded motions when unstable, coupled to NES. In work, NES involves an e...

in wireless channel the noise has a zero mean. this channel property can be used in the enhancement of the noise performance in the digital receivers by oversampling the received signal and calculating the decision variable based on the time average of more than one sample of the received signal. the averaging process will reduce the effect of the noise in the decision variable that will approa...

This paper focuses on parameter search for multi-agent based models using evolutionary algorithms. Large numbers and variable dimensions of parameters require a search method which can efficiently handle a high dimensional search space. We are proposing the use of complexification as it emulates the natural way of evolution by starting with a small constrained search space and expanding it as t...

In competitive coevolution, the goal is to establish an “arms race” that will lead to increasingly sophisticated strategies. However, in practice, the process often leads to idiosyncrasies rather than continual improvement. Applying the NEAT method for evolving neural networks to a competitive simulated robot duel domain, we will demonstrate that (1) as evolution progresses the networks become ...

The evolution of complexity has been a central theme for Biology [2] and Artificial Life research [1]. It is generally agreed that complexity has increased in our universe, giving way to life, multi-cellularity, societies, and systems of higher complexities. However, the mechanisms behind the complexification and its relation to evolution are not well understood. Moreover complexification can b...