Publications

Revues avec comité de lecture (article intégral lu par un comité)

 

  • Regelii S. de A. Ferreira, Patrick Picher , Hassan Ezzaidi and Issouf Fofana(2021). A Machine-Learning Approach to Identify the Influence of Temperature on FRA Measurements (soumis IEEE ACCESS)
  • Segning, C. M., Ezzaidi, H., da Silva, R. A., & Ngomo, S. (2021). Towards the objective identification of the presence of pain based on electroencephalography signals analysis ( soumis)
  • Regelii S. de A. Ferreira, Patrick Picher , Hassan Ezzaidi and Issouf Fofana(2021). Frequency Response Analysis Interpretation Using Numerical Indices and Machine Learning: A Case Study Based on a Laboratory Model, date of publication April 28, 2021, date of current version May 11, 2021. Digital Object Identifier 10.1109/ACCESS.2021.3076154
  • Segning, C. M., Ezzaidi, H., da Silva, R. A., & Ngomo, S. (2021). A Neurophysiological Pattern as a Precursor of Work-Related Musculoskeletal Disorders Using EEG Combined with EMG. International journal of environmental research and public health, 18(4), 2001. https://doi.org/10.3390/ijerph18042001.
  • Ramy Meziane Martin J.-D Otis, Philippe Cardou, Hassan Ezzaidi. (2018). Cable Interference Control in Physical Interaction for Cable-Driven Parallel Mechanisms. Journal: Mechanism and Machine Theory. Elsevier.
  • Ramy Meziane Martin J.-D Otis, Hassan Ezzaidi. (2017). Human-robot collaboration while Sharing Production Activities in Dynamic Environment: SPADER system. Robotics and Computer Integrated. Elsevier.
  • G. Kone, C. Volat, et H. Ezzaidi, ‘Numerical Investigation of Electric Field Distortion Induced by Internal Defects in Composite Insulators’. High Voltage. 2017.
  • A. Betie, F. Meghnefi, I. Fofana, Z. Yeo and H. Ezzaidi, « Aging and Moisture Estimation of Oil Impregnated Paper Insulation from Dielectric Response Measurements », 2014, IEEE TDEI (in press).
  • Ramy Meziane; Martin Otis and Hassan Ezzaidi; ‘Human-robot collaboration while Sharing Production Activities in Dynamic Environment and Human Motion’), 2015.
  • Y. Hadjadj, F. Meghnefi, I. Fofana and H. Ezzaidi, « On the Feasibility of Using Poles Computed from Frequency Domain Spectroscopy to Assess Oil Impregnated Paper Insulation Conditions », Energies, 6(4), 2204-2220, 2013.
  • M. Bahoura and H. Ezzaidi,  FPGA-Implementation of Discrete Wavelet Transform with Application to Signal Denoising. Circuits, Systems, and Signal Processing, pp. 1–29, 2011. (http://dx.doi.org/10.1007/s00034-011-9355-0)
  • M. Bahoura and H. Ezzaidi, “FPGA-Implementation of Parallel and Sequential Architectures for Adaptive Noise Cancellation”. Circuits, Systems & Signal processing, pp. 1-28, 2011. (http://dx.doi.org/10.1007/s00034-011-9310-0)
  • F rchiqui, Z. Ozdemir, M. Souli, H. Ezzaidi, G. Dituba-Ngoma1, Neural networks approach for characterization of viscoelastic polymers, The Canadian Journal of Chemical Engineering, 2011.
  • M. Bahoura and H. Ezzaidi, “FPGA-Implementation of Parallel and Sequential Architectures for Adaptive Noise Cancellation”. Circuits, Systems & Signal processing, 2011. (http://dx.doi.org/10.1007/s00034-011-9310-0)
  • H. Ezzaidi and M. Bahoura, “Statistical and neural classifiers: application for Singer and Music discrimination in Polyphonic Music Context”, in Image and Signal Processing. Lecture Notes in Computer Science, Vol. 6134/2010. pp. 130-136, 2010.
  • Volat, F. Meghnefi, M. Farzaneh & H. Ezzaidi, « Monitoring leakage current of icecovered station post insulator using artificial neural networks ». IEEE Transactions on dielectrics and Electrical insulation, vol.17, issue 2, avril 2010, pp. 443-450.
  • Hassan Ezzaidi, Instruments and families recognition using neural networks. International Society for Advanced Science and Technology (ISAST) Transactions Journal, printed in Jyväskylä University Press, Finland , 2007.
  • Hassan Ezzaidi and Jean Rouat , Automatic Musical Genre Classification Using Divergence and Average Information Measures, Enformatika Journal , Volume 14, August 2006 with ISBN/ISSN 1305-5313.
  • J.S. Thongam , M. Ouhrouche , F. Haghgoeian and H. Ezzaidi, “Simultaneous Estimation of Speed and Rotor Resistance in Sensorless Induction Motor Vector Controlled Drive”, International Journal of Modeling and Simulation, Under Press – Accepted on Nov 23-2005. 

Documents revus et publiés (article intégral lu par un comité)

  • R. S. A. Ferreira, A. Sengupta, P. Picher, I. Fofana and H. Ezzaidi, “Influence of Transformer Structures on the Frequency Response Analysis: A Laboratory Case Study”, the 2021 IEEE Annual Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), to be held in Vancouver (Canada), from 12 – 15 December, 2021.
  • R. S. A. Ferreira, H. Ezzaidi, I. Fofana and P. Picher, “Transformers Fault Identification by Frequency Response Analysis using Intelligent Classifiers”, 22nd International Symposium on High Voltage Engineering (ISH 2021) to be held in  Xi’an, China from 25-29 September, 2021.
  • R. S. de Andrade, H. Simard, P. Picher, V. Behjat, I. Fofana and H. Ezzaidi, “Experience with Frequency Response Analysis for Assessing the Integrity of a service-Aged Transformer”, CIGRÉ Canada Conférence, September 16-19, 2019, Montreal, Qc, Canada.
  • R. M. Youssouf, R. S. A. Ferreira, F. Meghnefi, H. Ezzaidi, P. Picher and I. Fofana, “Frequency Response of the Transformer Winding: a Case Study on a Laboratory Model”, the 2018 IEEE Annual Conference on Electrical Insulation and Dielectric Phenomena (CEIDP), Cancun (Mexico), 21 Oct – 24 Oct 2018.
  • Mohammed Bahoura and Hassan Ezzaidi , FPGA Implementation of Dual-Channel Spectral Subtraction Method for Lung Sounds Denoising. 61st IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2018 (soumis).
  • G. Kone, C. Volat, H. Ezzaidi et L. Duvillaret, ‘Experimental Investigation of Internal Defect Detection of a 69-kV Composite Insulator’, Conference record of the 2016 IEEE Electrical Insulation Conference (EIC), Montréal, Canada, 19-22 juin 2016.
  • Mohammed Bahoura and Hassan Ezzaidi , “Real-Time Implementation of an Adaptive Noise Canceller based on MicroBlaze Soft Processor”, 28th annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE’2015), Halifax, Nova Scotia, Canada, 2015.
  • G. Kone, C. Volat, et H. Ezzaidi, ‘3D numerical investigation of internal defects in a 28 kV composite insulator’. ISBN: 978-1-4799-2789-0. Electrical Insulation Conference (EIC), 2014. 2014.
  • Ping Li; Ramy Meziane; Martin Otis; Hassan Ezzaidi and Philippe Cardou; ‘A Smart Safety Helmet using IMU and EEG sensors for worker fatigue detection’); IEEE International Symposium on Robotic and Sensors Environments ; Oct 16-18, 2014; Timisoara, Romania.
  • Ramy Meziane; Ping Li; Martin Otis; Hassan Ezzaidi and Philippe Cardou; ‘Safer Hybrid Workspace Using Human-Robot Interaction While Sharing Production Activities’) to 2014 IEEE International Symposium on Robotic and Sensors Environments ; Oct 16-18, 2014; Timisoara, Romania.
  • Ezzaidi Hassan, Glenn-Eric Hall and Mohammed Bahoura, “Instrument identification by computer and human based Contour Chroma” The 4th International Conference on Multimedia Computing and Systems, Marrakech, Morocco, 14-16 april, 2014.
  • G.-E. Hall, H. Ezzaidi, and M. Bahoura, “Classification of Pizzicato and Sustained Articulations for Musical Instrument’’, International Conference on Communications, Signal Processing, and their Applications, 12-14 February 2013 in Sharjah, UAE.
  • Ezzaidi Hassan, Mohammed Bahoura and Glenn-Eric Hall, “Towards Characterization of  Music Timbre Based Contour Chroma”, International Conference on Advanced Machine Learning Technologies and Applications (AMLTA12), in Cairo, Egypt, 2012.
  • G.-E. Hall, H. Ezzaidi, and M. Bahoura, “hierarchical parameterization and classification for instrument recognition,” the 11the international conference on information science, signal processing and their applications (ISSPA 2012), Montréal, Canada, 2012.
  • G-E. Hall, H. Ezzaidi and M. Bahoura, “Study of Features Categories for Musical Instrument Recognition”, International Conference on Advanced Machine Learning Technologies and Applications (AMLTA12), in Cairo, Egypt, 2012.
  • M. Bahoura and H. Ezzaidi, “Implementation of Spectral Subtraction Method on FPGA using High-Level Programming Tool”, In the Proceedings of the International Conference on Microelectronics ICM’12.
  • F. Hicham, F. Erchiqui, M. Elghorba, M. Chergui, H. Ezzaidi, F. Slaoui-Hasnaoui, “Comportement et endommagement des membranes biocomposites en grandes déformations”, Congrès International en Génie Industriel  et Management des Systèmes, France, 2012.
  • M. Bahoura and H. Ezzaidi, “FPGA Implementation of a Feature Extraction Technique based on Fourier Transform” ,  In the Proceedings of the International Conference on Microelectronics ICM’12.
  • M. Bahoura and H. Ezzaidi, « Pipelined Architecture for Discrete Wavelet Transform Implementation on FPGA », In the Proceedings of the 22th International Conference on Microelectronics, pp. 459-462, 19-22 December, 2010, Cairo, Egypt.
  • H. Ezzaidi, M. Bahoura and J. Rouat, « Singer and music discrimination based threshold in polyphonic music, » Signal Processing and Information Technology (ISSPIT), 2010 IEEE International Symposium , pp.445-450, 15-18 December, 2010, Cairo , Egypt.
  • M. Bahoura and H. Ezzaidi, “FPGA-Implementation of Parallel and Sequential Architectures for Adaptive Noise Cancellation”. Circuits, Systems & Signal processing, 2011. (http://dx.doi.org/10.1007/s00034-011-9310-0).
  • H. Ezzaidi and M. Bahoura, « Musical Genres based Ergodic Model ». In Proceedings of the 17 th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2010. 12th-15 th December 2010 , Athens , Greece.
  • H. Ezzaidi and M. Bahoura, « Voice Singer Detection in Polyphonic Music « . In Proceedings of the 16th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2009. pp. 884-887. 13th-16th December 2009 . Hammamet , Tunisia.
  • H. Ezzaidi and M. Bahoura, « Taxonomy of Musical Genres ». In Proceedings of the 5th IEEE International Conference on Signal-Image Technology & Internet-based Systems, SITIS 2009. November 29-Decembre 4 2009. Marrakech , Morocco.
  • M. Bahoura and H. Ezzaidi, « Real-Time Wavelet-based Signal Denoising ». In Proceedings of the 17th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2010. 12-15 December 2010. Athens , Greece.
  • M. Bahoura and H. Ezzaidi, « FPGA-Implementation of Wavelet-based Denoising Technique to Remove Power-Line Interference from ECG Signal ». In Proceedings of The 10th IEEE International Conference on Information Technology and Applications in Biomedicine, ITAB 2010. 2-5 November 2010. Corfu , Greece.
  • M. Bahoura and H. Ezzaidi, « Real-Time Implementation of Discrete Wavelet Transform on FPGA », In the Proceedings of the 10th IEEE International Conference on Signal Processing, ICSP 2010, 24-28 October, 2010, Beijing , China.
  • M. Bahoura and H. Ezzaidi, « Pipelined Architecture for Discrete Wavelet Transform Implementation on FPGA », In the Proceedings of the 22th International Conference on Microelectronics ICM’10, 19-22 December, 2010, Cairo, Egypt.
  • M. Bahoura and H. Ezzaidi, « FPGA-Implementation of a Sequential Adaptive Noise Canceller using Xilinx System Generator », In the Proceedings of the 21th International Conference on Microelectronics, pp. 213-216, 19th-22nd December, 2009, Marrakech, Morocco.
  • S. Thongam, P. Bouchard, H. Ezzaidi, and M. Ouhrouche,Wind Speed Sensorless Maximum Power Point Tracking Control of Variable Speed Wind Energy Conversion Systems, IEEE IEMDC conference in Florida, 2009.
  • Jean-Gabriel Mailloux, Hassan Ezzaidi and Christophe Volat, Neural networks for artistic creativity. Conference SETIT 2009 : Hammamet 22-26 March 2009. Tunis.
  • Hassan Ezzaidi and Jean Rouat, Comparison of the Statistical and Information Theory measures: Application to Automatic Musical Genre Classification, IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING, August 27-29, 2007, Thessaloniki, Greece.
  • S. Maralbashi, H. Ezzaidi and M. Farzaneh, Neural network models for predicting the type of ice accretion, IWAIS 2007, Japon.
  • Hassan Ezzaidi, Instruments recognition using neural networks and spectral information, Sciences of Electronics, Technologies of Information and Telecommunications (SETIT2007: ISBN 978-9973-61-474-2), Hammamet 25-29 March 2007.
  • A.Merabet , M.Ouhrouche, R.T.Bui and H.Ezzaidi: Nonlinear PID Predictive Control of Induction Motor Drives , Accepted for presentation in IFAC Workshop on Nonlinear Model Predictive Control for Fast Systems NMPC06, Grenoble , France , October 9-11, 2006.
  • Ezzaidi, Hassan / Rouat, Jean (2005): « Automatic music genre classification using second-order statistical measures for the prescriptive approach », In INTERSPEECH-2005 , 141-144.
  • Adel Merabet, Mohand Ouhrouche, Rung-Tien Bui & Hassan Ezzaidi : Neural Predictive Control Based Speed and Flux Tracking in Induction Motor Drives, Accepted for presentation in the 7 th IASTED International Conference on Control and Applications CA05, May 18-20, 2005 , Cancun , Mexico.
  • Hassan Ezzaidi and Jean Rouat, “Pitch and MFCC dependent GMM models for speaker identification systems”, IEEE Canadian Conference on Electrical and Computer Engineering 2004.
  • Hassan Ezzaidi and Jean Rouat (2002) « Speech, Music and Songs discrimination for real time Applications ». International Conference on Spoken Language Processing, 2002, Denver , USA.
  • Hassan Ezzaidi, Jean Rouat and Douglas O’Shaughnessy (2001), »Combining pitch and MFCC for speaker identification systems ». EuroSpeech , September 3-7, 2001 , AALBORG , DENMARK.
  • Hassan Ezzaidi, Jean Rouat and Douglas O’Shaughnessy (2001), »Towards combining pitch and MFCC for speaker identification systems ». A speaker Odyssey, The Speaker Recognition Workshop June 18-22, Crete , Greece , 2001.
  • Hassan Ezzaidi and Jean Rouat (2000). »Comparison of MFCC and Pitch Synchronous AM, FM Parameters for Speaker Identification ». International Conference on Spoken Language Processing 2000 (ICSLP 2000), CHINE.
  • H. Ezzaidi, J. Rouat et I. Bourmeyster (1997). « Reconnaissance automatique de parole en français pour milieu difficile: exemple de détection de double parole pour le radiotéléphone en mains libres », Actes des Journées Scientifiques et Techniques du réseau Francil pp51-56.
  • H. Ezzaidi, I. Bourmeyster and J. Rouat (1997). « A new algorithm for double talk detection and separation in the context of digital mobile radio telephone », IEEE-ICASSP97, April 1997, Vol. III, 1897-1890. 

Conférences avec publication de résumés (lecture intégrale du résumé par un comité)

  • H. Ezzaidi et J. Rouat (2000) , « Étude de nouveaux paramètres synchrones à la glotte et dérivés de l’enveloppe et de la fréquence instantanée : application en identification du locuteur », 69 ème congrès de l’ACFAS , session S-206.
  • H. Ezzaidi, J, Rouat et I. Bourmeyster (1997) . « Rehaussement de la détection de double parole dans le contexte radio téléphone mobile », 65 ème congrès de l’ACFAS , session S-207. 

Rapport de commandites de recherche

  • Hassan Ezzaidi, Tuong Vinh Ho Mathieu Lapointe et Jean Rouat (1997),  » Nouvel algorithme d’extraction liés aux caractéristiques de la parole destinés à l’identification du locuteur ». Contrat W2213-7-2005/001/SV, 104 pages, juillet 1997.
  • Jean Rouat et Hassan Ezzaidi (1997), »Nouvel algorithme d’extraction lié aux caractéristiques de la parole destinés à l’identification du locuteur ». Contrat W2213-7-2005/001/SV, 14 pages, sept. 1997.
  • Jean Rouat et Hassan Ezzaidi (1997), « Nouvel algorithme d’extraction lié aux caractéristiques de la parole destinés à l’identification du locuteur ».Contrat W2213-7-2005/001/SV, 27 pages, decembre. 1997.
  • Jean Rouat, Hassan Ezzaidi, Tuong Vinh Ho Steeve Gagné et Mathieu Lapointe (1998), » Nouvel algorithme d’extraction lié aux caractéristiques de la parole destinés à l’identification du locuteur ».Contrat W2213-7-2005/001/SV, 75 pages, mars 1998.
  • Jean Rouat, Hassan Ezzaidi et Mathieu Lapointe (1998), « Nouvel algorithme d’extraction lié aux caractéristiques de la parole destinés à l’identification du locuteur ». Contrat W2213-7-2005/001/SV, 7 pages, 30 septembre 1998.
  • Jean Rouat, Hassan Ezzaidi et Mathieu Lapointe (1998), « Nouvel algorithme d’extraction en vue de caractériser le locuteur ».Contrat W2213-9-2234/SL, 55 pages, 30 novembre 1998.

Professeur, Ingénieur, Groupe de recherche en systèmes concurrents et en temps réel (ERMETIS)