George Georgoulas

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Soavtorji

Chrysostomos StyliosIndustrial Systems Institute/ Athena RC & University of IoanninaPreverjeni e-poštni naslov na uoi.gr
Petros KarvelisAssistant Professor, Department of Informatics & Telecommunications, University of Ioannina, GreecePreverjeni e-poštni naslov na uoi.gr
George NikolakopoulosChair Professor Robotics and Artificial IntelligencePreverjeni e-poštni naslov na upatras.gr
Peter P. GroumposUniversity of PatrasPreverjeni e-poštni naslov na ece.upatras.gr
Lenka LhotskaCzech Technical University in PraguePreverjeni e-poštni naslov na cvut.cz
Václav ChudáčekCzech Technical University in PraguePreverjeni e-poštni naslov na fel.cvut.cz
Ioannis P. TsoumasSenior Principal R&D Engineer, ABB Medium Voltage DrivesPreverjeni e-poštni naslov na ch.abb.com
JOSE ANTONINO-DAVIUUNIVERSITAT POLITECNICA DE VALENCIAPreverjeni e-poštni naslov na die.upv.es
Jiří SpilkaCzech Technical University in PraguePreverjeni e-poštni naslov na ciirc.cvut.cz
Vicente Climente-AlarconPostdoctoral researcher, University of Cambridge, UKPreverjeni e-poštni naslov na cam.ac.uk
Theodoros LoutasProfessor, Head of the Applied Mechanics Division, University of PatrasPreverjeni e-poštni naslov na mech.upatras.gr
Sina Sharif MansouriPh.D., R&D Technical Leader at Scania GroupPreverjeni e-poštni naslov na scania.com
Anthony TzesProfessor of Electrical and Computer Engineering, New York University Abu Dhabi, UAEPreverjeni e-poštni naslov na nyu.edu
Michal HuptychCTU in Prague, CIIRCPreverjeni e-poštni naslov na ciirc.cvut.cz
Vassilis KappatosAssociate Professor, Head of Constructural and Infrastructure Research in Maritime and Air TransportPreverjeni e-poštni naslov na certh.gr
Epaminondas MitronikasAssociate Professor, Electrical and Computer Engineering DepartmentPreverjeni e-poštni naslov na ece.upatras.gr
Giorgio IacobellisAssegnista, Politecnico di Bari, Università degli studi di triestePreverjeni e-poštni naslov na poliba.it
Donald L. BliwiseProfessor of Neurology, Emory University School of MedicinePreverjeni e-poštni naslov na emory.edu
Maria Pia FantiDipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di BariPreverjeni e-poštni naslov na poliba.it
Christos SapsanisJohns Hopkins UniversityPreverjeni e-poštni naslov na alumni.jh.edu

Spremljaj

George Georgoulas

Post Doc researcher

Preverjeni e-poštni naslov na datawise.ai

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


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	330	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	185	2006
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	184	2013
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	177	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	157	2012
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	107	2008
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	106	2013
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	100	2017
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	93	2015
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	93	2008
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	75	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	71	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	67	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
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	62	2006
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	59	2009
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	59	2004
Deep machine learning for structural health monitoring on ship hulls using acoustic emission method P Karvelis, G Georgoulas, V Kappatos, C Stylios Ships and Offshore structures 16 (4), 440-448, 2021	57	2021
Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned … N Eleftheroglou, SS Mansouri, T Loutas, P Karvelis, G Georgoulas, ... Applied Energy 254, 113677, 2019	55	2019

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