George Georgoulas

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Chrysostomos StyliosIndustrial Systems Institute/ Athena RC & University of IoanninaDirección de correo verificada de uoi.gr
Petros KarvelisAssistant Professor, Department of Informatics & Telecommunications, University of Ioannina, GreeceDirección de correo verificada de uoi.gr
George NikolakopoulosChair Professor Robotics and Artificial IntelligenceDirección de correo verificada de ltu.se
Peter P. GroumposUniversity of PatrasDirección de correo verificada de ece.upatras.gr
Lenka LhotskaCzech Technical University in PragueDirección de correo verificada de cvut.cz
Václav ChudáčekCzech Technical University in PragueDirección de correo verificada de fel.cvut.cz
Ioannis P. TsoumasPrincipal R&D Engineer, ABB Medium Voltage DrivesDirección de correo verificada de ch.abb.com
JOSE ANTONINO-DAVIUUNIVERSITAT POLITECNICA DE VALENCIADirección de correo verificada de die.upv.es
Vicente Climente-AlarconPostdoctoral researcher, University of Cambridge, UKDirección de correo verificada de cam.ac.uk
Jiří SpilkaCzech Technical University in PragueDirección de correo verificada de ciirc.cvut.cz
Theodoros LoutasAssociate Professor, Head of the Applied Mechanics Division, University of PatrasDirección de correo verificada de mech.upatras.gr
Sina Sharif MansouriPh.D., R&D Technical Leader at Scania GroupDirección de correo verificada de scania.com
Anthony TzesProfessor of Electrical and Computer Engineering, New York University Abu Dhabi, UAEDirección de correo verificada de nyu.edu
Michal HuptychCTU in Prague, CIIRCDirección de correo verificada de ciirc.cvut.cz
Vassilis KappatosAssociate Professor, Head of Constructural and Infrastructure Research in Maritime and Air TransportDirección de correo verificada de certh.gr
Epaminondas MitronikasAssociate Professor, Electrical and Computer Engineering DepartmentDirección de correo verificada de ece.upatras.gr
Donald L. BliwiseProfessor of Neurology, Emory University School of MedicineDirección de correo verificada de emory.edu
Giorgio IacobellisAssegnista, Politecnico di Bari, Università degli studi di triesteDirección de correo verificada de poliba.it
Maria Pia FantiDipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di BariDirección de correo verificada de poliba.it
Christos SapsanisJohns Hopkins UniversityDirección de correo verificada de alumni.jh.edu

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George Georgoulas

Post Doc researcher

Dirección de correo verificada de datawise.ai

Machine Learning Data Mining Fault Detection-Diagnosis Decision Support Systems Signal Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Remaining useful life estimation in rolling bearings utilizing data-driven probabilistic e-support vectors regression TH Loutas, D Roulias, G Georgoulas IEEE Transactions on Reliability 62 (4), 821-832, 2013	313	2013
Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition G Georgoulas, T Loutas, CD Stylios, V Kostopoulos Mechanical Systems and Signal Processing 41 (1-2), 510-525, 2013	181	2013
Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines G Georgoulas, CD Stylios, PP Groumpos Biomedical Engineering, IEEE Transactions on 53 (5), 875-884, 2006	177	2006
Improving EMG based classification of basic hand movements using EMD C Sapsanis, G Georgoulas, A Tzes, D Lymberopoulos 2013 35th Annual International Conference of the IEEE Engineering in …, 2013	171	2013
Using nonlinear features for fetal heart rate classification J Spilka, V Chudáček, M Koucký, L Lhotská, M Huptych, P Janků, ... Biomedical Signal Processing and Control 7 (4), 350-357, 2012	151	2012
EMG based classification of basic hand movements based on time-frequency features C Sapsanis, G Georgoulas, A Tzes 21st Mediterranean Conference on Control and Automation, 716-722, 2013	103	2013
Asynchronous machine rotor fault diagnosis technique using complex wavelets IP Tsoumas, G Georgoulas, ED Mitronikas, AN Safacas IEEE Transactions on Energy Conversion 23 (2), 444-459, 2008	103	2008
Remaining useful battery life prediction for UAVs based on machine learning SS Mansouri, P Karvelis, G Georgoulas, G Nikolakopoulos IFAC-PapersOnLine 50 (1), 4727-4732, 2017	92	2017
Rolling element bearing feature extraction and anomaly detection based on vibration monitoring B Zhang, G Georgoulas, M Orchard, A Saxena, D Brown, G Vachtsevanos, ... 2008 16th Mediterranean Conference on Control and Automation, 1792-1797, 2008	88	2008
A simulation based Decision Support System for logistics management MP Fanti, G Iacobellis, W Ukovich, V Boschian, G Georgoulas, C Stylios Journal of Computational Science 10, 86-96, 2015	86	2015
Principal Component Analysis of the start-up transient and Hidden Markov Modeling for broken rotor bar fault diagnosis in asynchronous machines G Georgoulas, MO Mustafa, IP Tsoumas, JA Antonino-Daviu, ... Expert Systems with Applications 40 (17), 7024-7033, 2013	79	2013
A symbolic representation approach for the diagnosis of broken rotor bars in induction motors P Karvelis, G Georgoulas, IP Tsoumas, JA Antonino-Daviu, ... IEEE Transactions on Industrial Informatics 11 (5), 1028-1037, 2015	74	2015
Rolling element bearings diagnostics using the Symbolic Aggregate approXimation G Georgoulas, P Karvelis, T Loutas, CD Stylios Mechanical Systems and Signal Processing 60, 229-242, 2015	67	2015
Investigating pH based evaluation of fetal heart rate (FHR) recordings G Georgoulas, P Karvelis, J Spilka, V Chudáček, CD Stylios, L Lhotska Health and technology 7, 241-254, 2017	64	2017
Automatic pattern identification based on the complex empirical mode decomposition of the startup current for the diagnosis of rotor asymmetries in asynchronous machines G Georgoulas, IP Tsoumas, JA Antonino-Daviu, V Climente-Alarcón, ... IEEE Transactions on Industrial Electronics 61 (9), 4937-4946, 2013	63	2013
Prognostics enhanced reconfigurable control of electro-mechanical actuators DW Brown, G Georgoulas, B Bole, HL Pei, M Orchard, L Tang, B Saha, ... Annual Conference of the PHM Society 1 (1), 2009	61	2009
Feature extraction and classification of fetal heart rate using wavelet analysis and support vector machines G Georgoulas, C Stylios, P Groumpos International Journal on Artificial Intelligence Tools 15 (03), 411-432, 2006	58	2006
Classification of fetal heart rate during labour using hidden Markov models GG Georgoulas, CD Stylios, G Nokas, PP Groumpos 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004	56	2004
Novel approach for fetal heart rate classification introducing grammatical evolution G Georgoulas, D Gavrilis, IG Tsoulos, C Stylios, J Bernardes, ... Biomedical Signal Processing and Control 2 (2), 69-79, 2007	54	2007
Particle filter based anomaly detection for aircraft actuator systems D Brown, G Georgoulas, H Bae, G Vachtsevanos, R Chen, YH Ho, ... Aerospace conference, 2009 IEEE, 1-13, 2009	52	2009

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