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We devise fast algorithms for computing the linear response, which is the parameter-gradient of long-time statistics of hyperbolic chaotic dynamical systems. The algorithm is in the form of progressiv...
近日,成都工程信息大学计算机学院胡靖副教授、吴锡教授与成都工程信息大学校外导师Keya西雅图研究院王昕博士合作,在医学图像分析领域顶级期刊Medical Image Analysis(中科院一区,影响因子11.148)发表了题为“End-to-end multimodal image registration via reinforcement learning”的论文,提出了基于深度强化学习的多...
The present paper proposes the use of GIS for the application of the so-called phenomenological approach to the analysis of the seismic behaviour of historical buildings. This approach is based on the...
In this paper new techniques are developed for the analysis of linear time varying (LTV) systems. These lead to a formally simple treatment of problems for LTV systems, allowing methods more usually r...
In this paper new techniques are developed for the analysis of linear time varying (LTV) systems. These lead to a formally simple treatment of robust control problems for LTV systems, allowing methods...
In this paper we show that the H-infinity synthesis problem for a class of linear systems with asynchronous jumps can be reduced to a purely discrete time synthesis problem. The system class considere...
In this paper, we apply a principal-orthogonal decomposition based method to the model reduction of a hybrid, nonlinear model of a power network. The results demonstrate that the sequence of fault eve...
In this paper we analyze the average backlog in a combined input-output queued switch using a maximal siz e matching scheduling algorithm. We compare this average backlog to the average backlog achiev...
We present a methodology for analyzing robust independent-of-delay and delay-dependent stability of equilibria of systems described by nonlinear Delay Differential Equations by algorithmically constru...
arrsive algorithms where random observations enter are studied in a fairly general framework. An important feature is that the observations may depend on previous “outputs” of the algorithm. The consi...
Rearrsive algorithms where random observations enter are studied in a fairly general framework. An important feature is that the observations may depend on previous “outputs” of the algorithm. The con...
The International Institute for Applied Systems Analysis is a scientific research institute located in Laxenburg, near Vienna, Austria. Schloss Laxenburg, home of IIASA
A common problem in the analysis of mechanical systems is the fact that the parameters of the models can exhibit a high level of uncertainty and exact values for their quantification can often not be ...
In recent years, the increasing development of cloud computing technologies laid critical foundation for efficiently solving complicated geographic issues. However, it is still difficult to realize ...
Source wavelet estimation is the key in seismic signal processing for resolving subsurface structural properties. Homomorphic deconvolution using cepstrum analysis has been an effective method for wav...

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