M. Z. Parvez and M.
Paul (2015). "Prediction and Detection of Epileptic Seizure, a book
chapter on Biomedical Image Analysis and Mining Techniques for Improved
Health Outcomes, edited by Nilanjan Dey, publisher: IGI-Global.
M. Z. Parvez and M. Paul (2015). “Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation,” in the IEEE Transactions on Neural Systems and Rehabilitation Engineering. DOI: 10.1109/TNSRE.2015.2458982. ERA 2010 A*, JCR Rank Q1, SJR Rank Q1, JCR 5 Years Impact Factor 3.63.
M. Z. Parvez and M. Paul (2014). “Epileptic Seizure Detection by Analyzing EEG Signals using Different Transformation Techniques,” in the Neurocomputing, vol. 145, pp. 190 - 200, ISSN 0925-2312, DOI: http://10.1016/j.neucom.2014.05.0442014. ERA 2010 Rank B, JCR Rank Q2, SJR Rank Q1, JCR 5 Years Impact Factor 2.29.
M. Z. Parvez and M. Paul (2015). “Epileptic Seizure Detection by Exploiting Temporal Correlation of EEG Signals,” in the IET Signal Processing, vol. 9(6), pp. 467 – 475, DOI: 10.1049/iet-spr.2013.0288. ERA 2010 Rank B, JCR Rank Q3, SJR Rank Q2, JCR 5 Years Impact Factor 1.03.
M. Z. Parvez and M. Paul (2015). “Novel Approaches of EEG Signal Classification using IMF Bandwidth and DCT Frequency,” in the Biomedical Engineering: Applications, Basis and Communications, vol. 27(3), pp. 1550027 (1-9), ISSN 1793-7132 (Online), DOI: http://10.0.15.175/S1016237215500271. ERA 2010 C, SJR Q4.
M. Z. Parvez, M. Paul, and M. Antolovich (2015). “Detection of Pre-stage of Epileptic Seizure by Exploiting Temporal Correlation of EMD Decomposed EEG Signals,” in the Journal of Medical and Bioengineering, vol. 4(2), pp. 110-116, ISSN 2301-3796, DOI: http:// 10.12720/jomb.
M. Z. Parvez and M. Paul (2015). “Seizure Prediction by Analyzing EEG Signal based on Phase Correlation,” in the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC), pp. 2888-2891, DOI:10.1109/EMBC.2015.7318995.
M. Z. Parvez and M. Paul (2015). “Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena,” in the International Conference on Bioinformatics and Biological Engineering, Melbourne, Australia (accepted).
M. Z. Parvez and M. Paul (2013). “Classification of Ictal and Interictal EEG signals,” in the IASTED conference on Biomedical Engineering, 791-031.
M. Z. Parvez and M. Paul (2013). “EEG Signal Classification using Frequency Band Analysis towards Epileptic Seizure Prediction,” in the 16th International Conference on Computer and Information Technology (ICCIT).
M. Z. Parvez and M. Paul (2012). “Features extraction and classification for Ictal and Interictal EEG signals using EMD and DCT,” in the 15th International Conference on Computer and Information Technology (ICCIT), pp. 132-137.
M. Z. Parvez, M. A. Al Baki, and M. Hossain (2012). “Peak-to-Average Power Ratio Reduction in NC-OFDM based Cognitive Radio”, International Journal of Signal Processing (SPIJ), vol 6(2).
M. Hossain, M. Z. Parvez, and M. H. Islam (2011). “Mutual authentication between base and subscriber station can improve the security of IEEE 802.16 Wimax network”, International Journal of Engineering (IJE), vol 5(4).
M. Z. Parvez and M. A. Al Baki (2010). “Peak to Average Power Ratio (PAPR) Reduction in OFDM Based Radio Systems”, Master Thesis, Blekinge Institute of Technology, Sweden.
M. Parvez, and M. Baki (2010). “Peak to Average Power Ratio (PAPR) Reduction in OFDM Based Radio Systems”, Abstract of the Master Thesis, Swedish University Essays.
ERA: Excellence in Research for Australia
M. Z. Parvez and M. Paul (2015). “Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation,” in the IEEE Transactions on Neural Systems and Rehabilitation Engineering. DOI: 10.1109/TNSRE.2015.2458982. ERA 2010 A*, JCR Rank Q1, SJR Rank Q1, JCR 5 Years Impact Factor 3.63.
M. Z. Parvez and M. Paul (2014). “Epileptic Seizure Detection by Analyzing EEG Signals using Different Transformation Techniques,” in the Neurocomputing, vol. 145, pp. 190 - 200, ISSN 0925-2312, DOI: http://10.1016/j.neucom.2014.05.0442014. ERA 2010 Rank B, JCR Rank Q2, SJR Rank Q1, JCR 5 Years Impact Factor 2.29.
M. Z. Parvez and M. Paul (2015). “Epileptic Seizure Detection by Exploiting Temporal Correlation of EEG Signals,” in the IET Signal Processing, vol. 9(6), pp. 467 – 475, DOI: 10.1049/iet-spr.2013.0288. ERA 2010 Rank B, JCR Rank Q3, SJR Rank Q2, JCR 5 Years Impact Factor 1.03.
M. Z. Parvez and M. Paul (2015). “Novel Approaches of EEG Signal Classification using IMF Bandwidth and DCT Frequency,” in the Biomedical Engineering: Applications, Basis and Communications, vol. 27(3), pp. 1550027 (1-9), ISSN 1793-7132 (Online), DOI: http://10.0.15.175/S1016237215500271. ERA 2010 C, SJR Q4.
M. Z. Parvez, M. Paul, and M. Antolovich (2015). “Detection of Pre-stage of Epileptic Seizure by Exploiting Temporal Correlation of EMD Decomposed EEG Signals,” in the Journal of Medical and Bioengineering, vol. 4(2), pp. 110-116, ISSN 2301-3796, DOI: http:// 10.12720/jomb.
M. Z. Parvez and M. Paul (2015). “Seizure Prediction by Analyzing EEG Signal based on Phase Correlation,” in the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC), pp. 2888-2891, DOI:10.1109/EMBC.2015.7318995.
M. Z. Parvez and M. Paul (2015). “Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena,” in the International Conference on Bioinformatics and Biological Engineering, Melbourne, Australia (accepted).
M. Z. Parvez and M. Paul (2013). “Classification of Ictal and Interictal EEG signals,” in the IASTED conference on Biomedical Engineering, 791-031.
M. Z. Parvez and M. Paul (2013). “EEG Signal Classification using Frequency Band Analysis towards Epileptic Seizure Prediction,” in the 16th International Conference on Computer and Information Technology (ICCIT).
M. Z. Parvez and M. Paul (2012). “Features extraction and classification for Ictal and Interictal EEG signals using EMD and DCT,” in the 15th International Conference on Computer and Information Technology (ICCIT), pp. 132-137.
M. Z. Parvez, M. A. Al Baki, and M. Hossain (2012). “Peak-to-Average Power Ratio Reduction in NC-OFDM based Cognitive Radio”, International Journal of Signal Processing (SPIJ), vol 6(2).
M. Hossain, M. Z. Parvez, and M. H. Islam (2011). “Mutual authentication between base and subscriber station can improve the security of IEEE 802.16 Wimax network”, International Journal of Engineering (IJE), vol 5(4).
M. Z. Parvez and M. A. Al Baki (2010). “Peak to Average Power Ratio (PAPR) Reduction in OFDM Based Radio Systems”, Master Thesis, Blekinge Institute of Technology, Sweden.
M. Parvez, and M. Baki (2010). “Peak to Average Power Ratio (PAPR) Reduction in OFDM Based Radio Systems”, Abstract of the Master Thesis, Swedish University Essays.
ERA: Excellence in Research for Australia
JCR: Journal
Citation Reports
SJR: SCImago Journal
Rank
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