UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 222

Sortiert nach

A novel convolutional neural network framework based solar irradiance prediction method

International journal of electrical power & energy systems, 2020-01, Vol.114, p.105411, Article 105411

2020

Link zum Volltext

Verfügbarkeit prüfen

Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG

International journal of neural systems, 2017-06, Vol.27 (4), p.1750005

2017

Link zum Volltext

Verfügbarkeit prüfen

Multivariate weighted complex network analysis for characterizing nonlinear dynamic behavior in two-phase flow

Experimental thermal and fluid science, 2015-01, Vol.60, p.157-164

2015

Link zum Volltext

Verfügbarkeit prüfen

A directed weighted complex network for characterizing chaotic dynamics from time series

Nonlinear analysis: real world applications, 2012-04, Vol.13 (2), p.947-952

2012

Link zum Volltext

Verfügbarkeit prüfen

A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG

Chaos (Woodbury, N.Y.), 2018-08, Vol.28 (8), p.085724

2018

Link zum Volltext

Verfügbarkeit prüfen

Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection

International journal of neural systems, 2019-06, Vol.29 (5), p.1850057

2019

Link zum Volltext

Verfügbarkeit prüfen

Complex network analysis of time series

Europhysics letters, 2016-12, Vol.116 (5), p.50001-50001

2016

Link zum Volltext

Verfügbarkeit prüfen

Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows

Europhysics letters, 2013-09, Vol.103 (5), p.50004

2013

Link zum Volltext

Verfügbarkeit prüfen

Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph

Chaos (Woodbury, N.Y.), 2019-07, Vol.29 (7), p.073119

2019

Link zum Volltext

Verfügbarkeit prüfen

脑机接口技术及其在神经科学中的应用

中国现代神经疾病杂志, 2021-01, Vol.21 (1), p.3-8

2021

Link zum Volltext

Verfügbarkeit prüfen

A novel complex network-based deep learning method for characterizing gas–liquid two-phase flow

Petroleum science, 2021-02, Vol.18 (1), p.259-268

2021

Link zum Volltext

Verfügbarkeit prüfen

Analysis of total energy and time-frequency entropy of gas–liquid two-phase flow pattern

Chemical engineering science, 2012-09, Vol.82, p.144-158

2012

Link zum Volltext

Verfügbarkeit prüfen

Characterization of chaotic dynamic behavior in the gas–liquid slug flow using directed weighted complex network analysis

Physica A, 2012-05, Vol.391 (10), p.3005-3016

2012

Link zum Volltext

Verfügbarkeit prüfen

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

PloS one, 2015-06, Vol.10 (6), p.e0130135-e0130135

2015

Link zum Volltext

Verfügbarkeit prüfen

SPSA-based data-driven control strategy for load frequency control of power systems

IET generation, transmission & distribution, 2018-01, Vol.12 (2), p.414-422

2018

Link zum Volltext

Verfügbarkeit prüfen

Rumor Detection over Varying Time Windows

PloS one, 2017-01, Vol.12 (1), p.e0168344-e0168344

2017

Link zum Volltext

Verfügbarkeit prüfen

IEEE Access Special Section Editorial: Big Data Learning and Discovery

IEEE access, 2021, Vol.9, p.158064-158073

2021

Link zum Volltext

Verfügbarkeit prüfen

Multivariate weighted recurrence network analysis of EEG signals from ERP-based smart home system

Chaos (Woodbury, N.Y.), 2018-08, Vol.28 (8), p.085713

2018

Link zum Volltext

Verfügbarkeit prüfen

Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series

Scientific reports, 2016-10, Vol.6 (1), p.35622-35622, Article 35622

2016

Link zum Volltext

Verfügbarkeit prüfen

PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow

Scientific reports, 2017-07, Vol.7 (1), p.5493-9, Article 5493

2017

Link zum Volltext

Verfügbarkeit prüfen

Data-driven control based on simultaneous perturbation stochastic approximation with adaptive weighted gradient estimation

IET control theory & applications, 2016-01, Vol.10 (2), p.201-209

2016

Link zum Volltext

Verfügbarkeit prüfen

A new accuracy measure based on bounded relative error for time series forecasting

PloS one, 2017-03, Vol.12 (3), p.e0174202-e0174202

2017

Link zum Volltext

Verfügbarkeit prüfen

Recurrence network analysis of experimental signals from bubbly oil-in-water flows

Physics letters. A, 2013-02, Vol.377 (6), p.457-462

2013

Link zum Volltext

Verfügbarkeit prüfen

Multiscale complex network for analyzing experimental multivariate time series

Europhysics letters, 2015-02, Vol.109 (3), p.30005-p1-30005-p6

2015

Link zum Volltext

Verfügbarkeit prüfen

Analysis of the Capacity of Google Trends to Measure Interest in Conservation Topics and the Role of Online News

PloS one, 2016-03, Vol.11 (3), p.e0152802-e0152802

2016

Link zum Volltext

Verfügbarkeit prüfen

1 – 25 von 222

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(211)
Mit Volltextzugriff
(207)

Publikationsform

Artikel
(220)
Tagungsberichte
(2)

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(195)
Physical Sciences
(107)
Multidisciplinary Sciences
(85)
Science & Technology - Other Topics
(85)
Humans
(62)
Physics
(56)
Time Series
(44)
Algorithms
(43)
Analysis
(42)
Engineering
(40)
Technology
(40)
Computer And Information Sciences
(36)
Physics, Multidisciplinary
(35)
Biology And Life Sciences
(33)
Models, Theoretical
(32)
Engineering And Technology
(31)
Research And Analysis Methods
(31)
Studies
(30)
Social Sciences
(28)
Entropy
(27)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(1)
... seit 90 Tagen
(2)

Menü

Weitere Dienste

Einstellungen

A novel convolutional neural network framework based solar irradiance prediction method

Visibility Graph from Adaptive Optimal Kernel Time-Frequency Representation for Classification of Epileptiform EEG

Multivariate weighted complex network analysis for characterizing nonlinear dynamic behavior in two-phase flow

A directed weighted complex network for characterizing chaotic dynamics from time series

A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG

Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection

Complex network analysis of time series

Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows

Characterization of SSMVEP-based EEG signals using multiplex limited penetrable horizontal visibility graph

脑机接口技术及其在神经科学中的应用

A novel complex network-based deep learning method for characterizing gas–liquid two-phase flow

Analysis of total energy and time-frequency entropy of gas–liquid two-phase flow pattern

Characterization of chaotic dynamic behavior in the gas–liquid slug flow using directed weighted complex network analysis

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

SPSA-based data-driven control strategy for load frequency control of power systems

Rumor Detection over Varying Time Windows

IEEE Access Special Section Editorial: Big Data Learning and Discovery

Multivariate weighted recurrence network analysis of EEG signals from ERP-based smart home system

Multiscale limited penetrable horizontal visibility graph for analyzing nonlinear time series

PageRank versatility analysis of multilayer modality-based network for exploring the evolution of oil-water slug flow

Data-driven control based on simultaneous perturbation stochastic approximation with adaptive weighted gradient estimation

A new accuracy measure based on bounded relative error for time series forecasting

Recurrence network analysis of experimental signals from bubbly oil-in-water flows

Multiscale complex network for analyzing experimental multivariate time series

Analysis of the Capacity of Google Trends to Measure Interest in Conservation Topics and the Role of Online News

Suchergebnisse filtern