[PDF] Top 20 Complex networks for streamflow dynamics
Has 6526 "Complex networks for streamflow dynamics" found on our website. Below are the top 20 most common "Complex networks for streamflow dynamics".
Complex networks for streamflow dynamics
... Abstract. Streamflow modeling is an enormously challeng- ing problem, due to the complex and nonlinear interactions between climate inputs and landscape characteristics over a wide range of spatial and ... See full document
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Complex networks for streamflow dynamics
... since streamflow arises as a result of complex and nonlinear interactions between climate inputs (external factors) and landscape characteristics (internal factors) that occur over a wide range of spatial ... See full document
35
Quantifying the dynamics of coupled networks of switches and oscillators.
... oscillator dynamics in the presence of inactive switches and then subsequently activate in synchrony in the presence of active ...of complex machinery such as the initiation of cell-cycle ...qualitative ... See full document
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Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization.
... decades, complex networks have attracted lots of attention in scientific and technological fields including mathematics, physics, engineering, biological sciences, and so on ...about complex ... See full document
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Complex networks: The key to systems biology
... of networks, an example being how neuronal activity depends on specific types of connec- tivity between neurons (Costa and Sporns, ...such dynamics and the dynamics of the evolution of the ...of ... See full document
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Synchronization of Generalized Chua’s Chaotic Oscillators in Small-world Topology
... the dynamics of complex networks: modeling of the human brain [29], modeling of society (individuals and relations existing between them) [30], the spread of epidemics in a population [31-34], ... See full document
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Parrondo's games based on complex networks and the paradoxical effect.
... supercritical dynamics resulted in the subcritical dynamics in which the population died ...chaotic dynamics resulted in an ordered dynamics under certain ... See full document
11
Correlations between community structure and link formation in complex networks.
... network dynamics [3–7]. In some real-world networks, nodes which share similar properties or attributes tend to create links to each other and cluster ... See full document
10
Bose –Einstein Condensation in Complex networks related to Consciousness
... the complex systems such as World Wide Web, business and citation networks display irreversible and non-equilibrium nature, these networks follow Bose Statistics and can undergo Bose-Einstein ... See full document
5
Game theory and extremal optimization for community detection in complex dynamic networks.
... real-world networks change in time and this dynamic behavior should be reflected in the evolution of ...ad-hoc networks formed by commu- nication nodes constantly change and need to be grouped in order to ... See full document
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Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
... synthetic streamflow generation and streamflow forecasting include simple and multiple linear regression, autoregressive moving average (ARMA) models, ARMA with exogenous variables (ARMAX) and ARMA and ... See full document
14
Complex network theory, streamflow, and hydrometric monitoring system design
... Daily discharge data for all of Canada are maintained and archived by the Water Survey of Canada. In this study, only stations with continuous daily discharge records were se- lected, and geographic range was constrained ... See full document
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Dynamics and control of diseases in networks with community structure.
... generated networks tested, this algorithm performed mostly better, often equally well, and rarely worse than the alternative ...in networks with medium and strong community ... See full document
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Complex population dynamics in mussels arising from density-linked stochasticity.
... environmental stochasticity [27,78,79]. Also, linking stochastic elements at specific densities might be extremely effective at promoting spatial asynchrony among populations. Asynchrony is likely to facilitate ... See full document
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Automated System for interpreting Non-verbal Communication in Video Conferencing
... An artificial neural network (ANN), usually called "neural network" (NN), is a mathematical model or computational model that tries to simulate the structure and/or functional aspects of biological neural ... See full document
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Structure-based network analysis of activation mechanisms in the ErbB family of receptor tyrosine kinases: the regulatory spine residues are global mediators of structural stability and allosteric interactions.
... interaction networks to targeted perturbations of these residues that can abrogate their primary function and consequently lead to a significant loss of kinase ...structure networks in which highly ... See full document
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A Simulation Study Comparing Epidemic Dynamics on Exponential Random Graph and Edge-Triangle Configuration Type Contact Network Models.
... ERGM networks and epidemic dynamics on ERGM networks must rely on stochastic simula- tion of both the networks and epidemics on the ...of networks that can be mod- elled with ERGMs ... See full document
36
Rate-independent constructs for chemical computation.
... engineering complex new reaction mechanisms in any experimental domain is formidable task; for in vivo systems, there are likely to be many experimental constraints on the choice of reactions ... See full document
12
Precise regulation of gene expression dynamics favors complex promoter architectures.
... Do complex promoters provide advantages over alternative, simpler designs? Why are complex designs frequently employed when reliable regulation is critical? Is the complex promoter architecture ... See full document
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Adaptive cluster synchronization of directed complex networks with time delays.
... This paper uses an adaptive controller to make a directed network with time delays achieved cluster synchronization. The rest part of the paper is shown as following. In Section 2, the model of directed complex ... See full document
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