Mohammad Zavid Parvez

Orcid: 0000-0003-2138-8334

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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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

CNN-Based Handwriting Analysis for the Prediction of Autism Spectrum Disorder.
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

Improving Non-Invasive Brain Tumor Categorization using Transformers on MRI Data.
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

A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation.
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

Average Power Based EEG Channel Selection Method for Emotion Recognition.
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

Decentralized Blockchain Based IoT System to Enhance Security in Smart Homes.
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

2021
Exploring Alzheimer's Disease Prediction with XAI in various Neural Network Models.
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

DFCatcher: A Deep CNN Model to Identify Deepfake Face Images.
Proceedings of the IEEE Region 10 Conference, 2021

A Study on Reward and Punishment Learning Using A Data-Driven Approach.
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

Multi-Stage Optimization of Deep Learning Model to Detect Thoracic Complications.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Sentiment Analysis Framework Using Data Driven Approach.
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

Gene Expression Data Classification and Pattern Analysis Using Data Driven Approach.
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
Consumer Behavior Analysis using EEG Signals for Neuromarketing Application.
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

Semantic Segmentation of Brain Tumor from 3D Structural MRI Using U-Net Autoencoder.
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
Classification of Categorical Objects in Ventral Temporal Cortex using fMRI Data.
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
Seizure Prediction Using Undulated Global and Local Features.
IEEE Trans. Biomed. Eng., 2017

2015
Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals.
IET Signal Process., 2015

Seizure prediction by analyzing EEG signal based on phase correlation.
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


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