Multi-frequency complex network from time series for uncovering oil-water flow structure. - Wikidata - awgldk - TriplyDB

Multi-frequency complex network from time series for uncovering oil-water flow structure.

Multi-frequency complex network from time series for uncovering oil-water flow structure.

http://www.wikidata.org/entity/Q30419023

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How Many Political Parties Should Brazil Have? A Data-Driven Method to Assess and Reduce Fragmentation in Multi-Party Political Systems The Application of Auto-Disturbance Rejection Control Optimized by Least Squares Support Vector Machines Method and Time-Frequency Representation in Voltage Source Converter-High Voltage Direct Current System Microscopic Evolution of Laboratory Volcanic Hybrid Earthquakes.Optimization of Operation Parameters for Helical Flow Cleanout with Supercritical CO2 in Horizontal Wells Using Back-Propagation Artificial Neural Network.A Comparative Study for Flow of Viscoelastic Fluids with Cattaneo-Christov Heat Flux.Multivariate multiscale complex network analysis of vertical upward oil-water two-phase flow in a small diameter pipe Diffusion Dynamics of Energy Saving Practices in Large Heterogeneous Online Networks.A Robust Method for Inferring Network Structures PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow Investigation on Law and Economics Based on Complex Network and Time Series Analysis.Failure of Arm Movement Control in Stroke Patients, Characterized by Loss of Complexity.Visibility Graph Based Time Series Analysis.Correlation Networks from Flows. The Case of Forced and Time-Dependent Advection-Diffusion Dynamics.A Rotational Pressure-Correction Scheme for Incompressible Two-Phase Flows with Open Boundaries.MHD Flow and Heat Transfer between Coaxial Rotating Stretchable Disks in a Thermally Stratified Medium Forecasting East Asian Indices Futures via a Novel Hybrid of Wavelet-PCA Denoising and Artificial Neural Network Models Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform.Secret Forwarding of Events over Distributed Publish/Subscribe Overlay Network.MHD Convective Flow of Jeffrey Fluid Due to a Curved Stretching Surface with Homogeneous-Heterogeneous Reactions.Structure Identification of Uncertain Complex Networks Based on Anticipatory Projective Synchronization.Long-Range Correlations in Sentence Series from A Story of the Stone.Visual Interpretation of Biomedical Time Series Using Parzen Window-Based Density-Amplitude Domain Transformation An Outcome-Weighted Network Model for Characterizing Collaboration Influencing Busy People in a Social Network.Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies An Optimal Schedule for Urban Road Network Repair Based on the Greedy Algorithm.Features of the Asynchronous Correlation between the China Coal Price Index and Coal Mining Accidental Deaths.Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers.Model and Comparative Study for Flow of Viscoelastic Nanofluids with Cattaneo-Christov Double Diffusion.Rumor Detection over Varying Time Windows.Complex Network Analysis for Characterizing Global Value Chains in Equipment Manufacturing Evolution of scaling behaviors embedded in sentence series from A Story of the Stone.A revised model for Jeffrey nanofluid subject to convective condition and heat generation/absorption.Organization of biogeochemical nitrogen pathways with switch-like adjustment in fluctuating soil redox conditions.Investigation on law and economics of listed companies' financing preference based on complex network theory Lévy Walk Navigation in Complex Networks: A Distinct Relation between Optimal Transport Exponent and Network Dimension.Event Networks and the Identification of Crime Pattern Motifs.Discrete multi-physics: A mesh-free model of blood flow in flexible biological valve including solid aggregate formation.Physics of transportation: Towards optimal capacity using the multilayer network framework.Identifying a set of influential spreaders in complex networks.

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P2860

Multi-frequency complex network from time series for uncovering oil-water flow structure.

http://www.wikidata.org/entity/Q30419023

description

2015 nî lūn-bûn

@nan

2015 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Multi-frequency complex network from time series for uncovering oil-water flow structure.

@ast

Multi-frequency complex network from time series for uncovering oil-water flow structure.

@en

type

label

Multi-frequency complex network from time series for uncovering oil-water flow structure.

@ast

Multi-frequency complex network from time series for uncovering oil-water flow structure.

@en

prefLabel

Multi-frequency complex network from time series for uncovering oil-water flow structure.

@ast

Multi-frequency complex network from time series for uncovering oil-water flow structure.

@en

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Scientific Reports

P1476

Multi-frequency complex network from time series for uncovering oil-water flow structure.

@en

P2093

Cheng-Yi Xia

http://www.w3.org/2001/XMLSchema#string

Li-Dan Hu

http://www.w3.org/2001/XMLSchema#string

Ning-De Jin

http://www.w3.org/2001/XMLSchema#string

Peng-Cheng Fang

http://www.w3.org/2001/XMLSchema#string

Yu-Xuan Yang

http://www.w3.org/2001/XMLSchema#string

Zhong-Ke Gao

http://www.w3.org/2001/XMLSchema#string

P2860

Finding and evaluating community structure in networks

Statistical mechanics of community detection

Collective dynamics of 'small-world' networks

Nonlinear detection of paleoclimate-variability transitions possibly related to human evolution

The hidden geometry of complex, network-driven contagion phenomena.

Characterizing the effect of population heterogeneity on evolutionary dynamics on complex networks.

Detecting communities based on network topology.

Reconstructing propagation networks with natural diversity and identifying hidden sources.

From time series to complex networks: the visibility graph

Superfamily phenomena and motifs of networks induced from time series.

P2888

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8222

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10.1038/SREP08222

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5

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2015-02-04T00:00:00Z

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272075701

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1008956477

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25649900

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4316157

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