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Chi Han, Wei Xiong and Ronghuan Yu
Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of m...
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Dapeng Jiang, Guoyou Shi, Na Li, Lin Ma, Weifeng Li and Jiahui Shi
In the context of the rapid development of deep learning theory, predicting future motion states based on time series sequence data of ship trajectories can significantly improve the safety of the traffic environment. Considering the spatiotemporal corre...
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João Sequeira, Jorge Louçã, António M. Mendes and Pedro G. Lind
We analyze the empirical series of malaria incidence, using the concepts of autocorrelation, Hurst exponent and Shannon entropy with the aim of uncovering hidden variables in those series. From the simulations of an agent model for malaria spreading, we ...
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Alonso Pizarro, Panayiotis Dimitriadis, Theano Iliopoulou, Salvatore Manfreda and Demetris Koutsoyiannis
The identification of the second-order dependence structure of streamflow has been one of the oldest challenges in hydrological sciences, dating back to the pioneering work of H.E Hurst on the Nile River. Since then, several large-scale studies have inve...
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Panayiotis Dimitriadis, Aristoteles Tegos and Demetris Koutsoyiannis
The stochastic structures of potential evaporation and evapotranspiration (PEV and PET or ETo) are analyzed using the ERA5 hourly reanalysis data and the Penman?Monteith model applied to the well-known CIMIS network. The latter includes high-quality grou...
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Yuri A. Eidelman,Svetlana V. Slanina,Oleg A. Gusev,Sergey G. Andreev
Pág. 38 - 41
We present a polymer modeling approach to generate the ensemble of 3D chromosome conformations at different time points of mitosis-interphase transition. Dynamics of structure during mitosis-G1 transition indicates quick and slow stages of chromosome sha...
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Francesco Serinaldi and Chris G. Kilsby
The assessment of collective risk for flood risk management requires a better understanding of the space-time characteristics of flood magnitude and occurrence. In particular, classic formulation of collective risk implies hypotheses concerning the indep...
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Erhui Li, Xingmin Mu, Guangju Zhao and Peng Gao
Multifractal detrended fluctuation analysis (MFDFA) can provide information about inner regularity, randomness and long-range correlation of time series, promoting the knowledge of their evolution regularity. The MFDFA are applied to detect long-range co...
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André M. Marques, Fábio Pesavento
Pág. 821 - 857
After the widespread adoption of flexible exchange rate regime since 1973, the volatility of the exchange rate has increased, as a consequence of greater trade openness and financial integration among countries. Thus, it has become difficult to find conc...
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Mikosch, T. Starica, C.
Pág. 378 - 390
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