Mohammad Zavid Parvez
Orcid: 0000-0003-2138-8334Affiliations:
- BRAC University, Dhaka, Bangladesh
- ISI Foundation, Turin, Italy (2017)
- Charles Sturt University, Bathurst, NSW, Australia (PhD 2016)
According to our database1,
Mohammad Zavid Parvez
authored at least 40 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet.
CoRR, 2024
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems.
Comput. Secur., 2024
MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition.
IEEE Access, 2024
2023
Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images.
Neural Process. Lett., 2023
Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), 2023
An XAI Integrated Identification System of White Blood Cell Type Using Variants of Vision Transformer.
Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
A Low Parametric CNN Based Solution to Efficiently Detect Brain Tumor Cells from Ultrasound Scans.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023
A Power Efficient Solution to Determine Red Blood Cell Deformation Type Using Binarized DenseNet.
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023
2022
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition.
J. King Saud Univ. Comput. Inf. Sci., 2022
Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Network.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022
2021
Proceedings of the IEEE Region 10 Conference, 2021
DWT Based Transformed Domain Feature Extraction Approach for Epileptic Seizure Detection.
Proceedings of the IEEE Region 10 Conference, 2021
Neural Network Architecture for the Classification of Alzheimer's Disease from Brain MRI.
Proceedings of the IEEE Region 10 Conference, 2021
Multi -Classification based Alzheimer's Disease Detection with Comparative Analysis from Brain MRI Scans using Deep Learning.
Proceedings of the IEEE Region 10 Conference, 2021
Proceedings of the IEEE Region 10 Conference, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Alzheimer's Disease Detection and Classification using Transfer Learning Technique and Ensemble on Convolutional Neural Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
Prediction And Detection In Change Of Cognitive Load For VIP's By A Machine Learning Approach.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2021
Proceedings of the International Conference on Machine Learning and Cybernetics, 2021
CoroPy: A Deep Learning Based Comparison Between X-Ray and CT Scan Images in Covid-19 Detection and Classification.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Stress Detection from Different Environments for VIP Using EEG Signals and Machine Learning Algorithms.
Proceedings of the Intelligent Human Computer Interaction, 2020
Detection of Stress for Visually Impaired People Using EEG Signals Based on Time-Frequency Domain Analysis.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
Parkinson's Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
Detection of Brain Tumor and Identification of Tumor Region Using Deep Neural Network On FMRI Images.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
Detection of Modulated Motor Cortex using Anodal and Cathodal TDCS based Neurofeedback.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020
2019
Proceedings of the TENCON 2019, 2019
2018
Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids.
Wirel. Commun. Mob. Comput., 2018
2017
IEEE Trans. Biomed. Eng., 2017
2015
Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals.
IET Signal Process., 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Epileptic seizure detection by analyzing EEG signals using different transformation techniques.
Neurocomputing, 2014