Mohammad Zavid Parvez
Mohammad Zavid Parvez
Research Fellow (Cyber Security), School of Computing, Mathematics and Engineering, Charles Sturt
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CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
E Hussain, M Hasan, MA Rahman, I Lee, T Tamanna, MZ Parvez
Chaos, Solitons & Fractals 142, 110495, 2021
Epileptic seizure detection by analyzing EEG signals using different transformation techniques
MZ Parvez, M Paul
Neurocomputing 145, 190-200, 2014
Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation
MZ Parvez, M Paul
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (1 …, 2015
Deep learning based binary classification for alzheimer’s disease detection using brain mri images
E Hussain, M Hasan, SZ Hassan, TH Azmi, MA Rahman, MZ Parvez
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2020
Seizure Prediction Using Undulated Global and Local Features
MZ Parvez, M Paul
IEEE Transactions on Biomedical Engineering, 2016
Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier.
FP George, IM Shaikat, PS Ferdawoos, MZ Parvez, J Uddin
International Journal of Electrical & Computer Engineering (2088-8708) 9 (2), 2019
Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals
MZ Parvez, M Paul
IET Signal Processing 9 (6), 467-475, 2015
Effectiveness of federated learning and CNN ensemble architectures for identifying brain tumors using MRI images
M Islam, MT Reza, M Kaosar, MZ Parvez
Neural Processing Letters 55 (4), 3779-3809, 2023
Peak to Average Power Ratio (PAPR) Reduction in OFDM Based Radio Systems
MZ Parvez, MAA Baki
Blekinge Institute of Technology, 2010
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition
MM Khan, MS Uddin, MZ Parvez, L Nahar
Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022
EEG Signal Classification using Frequency Band Analysis towards Epileptic Seizure Prediction
MZ Parvez, M Paul
Computer and Information Technology (ICCIT), 2013 16th International …, 2013
Consumer behavior analysis using EEG signals for neuromarketing application
CR Amin, MF Hasin, TS Leon, AB Aurko, T Tamanna, MA Rahman, ...
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2061-2066, 2020
Detection of Pre-stage of Epileptic Seizure by Exploiting Temporal Correlation of EMD Decomposed EEG Signals
MZ Parvez, M Paul, M Antolovich
Journal of Medical and Bioengineering 4 (2), 2015
Predicting seizure onset based on time-frequency analysis of EEG signals
T Tamanna, MA Rahman, S Sultana, MH Haque, MZ Parvez
Chaos, Solitons & Fractals 145, 110796, 2021
Cognitive load assessment from EEG and peripheral biosignals for the design of visually impaired mobility aids
C Saitis, MZ Parvez, K Kalimeri
Wireless Communications and Mobile Computing 2018 (1), 8971206, 2018
Features extraction and classification for Ictal and Interictal EEG signals using EMD and DCT
MZ Parvez, M Paul
2012 15th International Conference on Computer and Information Technology …, 2012
Exploring Alzheimer's disease prediction with XAI in various neural network models
HA Shad, QA Rahman, NB Asad, AZ Bakshi, SMF Mursalin, MT Reza, ...
TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 720-725, 2021
Alzheimer’s disease detection and classification using transfer learning technique and ensemble on convolutional neural networks
SU Sadat, HH Shomee, A Awwal, SN Amin, MT Reza, MZ Parvez
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
Seizure prediction by analyzing EEG signal based on phase correlation
MZ Parvez, M Paul
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
A Kabir, F Kabir, MAH Mahmud, SA Sinthia, SMR Azam, E Hussain, ...
TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 905-910, 2021
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