Titlebook: Network Algorithms, Data Mining, and Applications; NET, Moscow, Russia, Ilya Bychkov,Valery A. Kalyagin,Oleg Prokopyev Conference proceedin

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endocardium

harmony

Hamoud S. Bin-Obaid,Theodore B. Trafalisined network traffic. However, it is difficult to capture and estimate the volume of network traffic due to its time-varying nature. In this paper, we study the network traffic estimation scheme to estimate the fine-grained network traffic. Firstly, the network traffic is constructed as a time serie

NATTY

Dmitry I. Ignatov,Polina Ivanova,Albina Zamaletdinovanting fast simulation frameworks to estimate runtimes always results in tremendous slow-downs. In this paper, a quantization is done regarding the minimal overhead that can be expected when adding architectural models to a fast JIT enhanced emulation. Previous work is only focused on new approaches

contrast-medium

無(wú)聊點(diǎn)好

Oxana Mikhailova,Galina Gradoselskaya,Alexander Kharlamovior and improvements in teamwork performance; however, it is necessary to continue researching their impact on the organization and patient safety (Levine et al (eds), The comprehensive textbook of healthcare simulation. Springer, New York, 2013; Salas et al, J Hum Factors Ergonom Soc 48(2): 392–412

jet-lag

Tamara Shcheglova,Galina Gradoselskaya,Ilia Karpovngs lag behind in the literature, even more when comes the necessity to implement them in mass. So, the problem is the following: in a context of simulation-based training, how might we conduct debriefings which enable effective reflection for learners and how to do this on a large scale? This chapt

Keshan-disease

Dmitry Zaytsev,Gregory Khvatsky,Nikita Talovsky,Valentina Kuskovas between how learning is conceptualized and how simulation-based training programs are implemented. For research in education, learning theories circumscribe the phenomena that are examined. They have a substantial impact on methods, data analysis and interpretations of the results. We believe that

皮薩

外科醫(yī)生