Mohammad Zavid Parvez

According to our database, Mohammad Zavid Parvez authored at least 37 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images.

Moinul Islam, Md. Tanzim Reza, Mohammed Kaosar, Mohammad Zavid Parvez

Neural Process. Lett., 2023

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

Nafisa Nawer, Mohammad Zavid Parvez, Muhammad Iqbal Hossain, Prabal Datta Barua, Mia Rahim, Subrata Chakraborty

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.

Shakib Mahmud Dipto, Md Tanzim Reza, Md Nowroz Junaed Rahman, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty

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.

Nafisa Nawer, Md. Shakiful Islam Khan, Md Tanzim Reza, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease.

M. Sakib Osman Eshan, Md. Naimul Huda Nafi, A. F. M. Nazmus Sakib, Mehedi Hasan Emon, Md. Tanzim Reza, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty

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.

Md. Arman Islam, Sheikh Araf Noshin, Md. Robiul Islam, Md. Farhan Razy, Samiha Antara, Md. Tanzim Reza, Mohammad Zavid Parvez

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.

Md Tanzim Reza, Shakib Mahmud Dipto, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty

Proceedings of the 2023 International Conference on Advances in Computing Research (ACR'23), 2023

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

Nusrat Jahan, Zakia Sultana Shahid, Fahim Chowdhury, Sajjad Ahmed, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty

Proceedings of the 2023 International Conference on Advances in Computing Research (ACR'23), 2023

2022

A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition.

Mohammad Meraj Khan, Mohammad Shorif Uddin, Mohammad Zavid Parvez, Lutfur Nahar

J. King Saud Univ. Comput. Inf. Sci., 2022

Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Network.

Nabiha Mustaqeem, Tasnia Rahman, Jannatul Ferdous Binta Kalam Priyo, Mohammad Zavid Parvez, Tanvir Ahmed

Proceedings of the Machine Intelligence and Emerging Technologies, 2022

Average Power Based EEG Channel Selection Method for Emotion Recognition.

Md. Shahriar Rahman, Nadia Tasnim Mim, Jonayed Ahmed Riduan, Ridwane-Ul-Islam, Most. Mahjabin, Mohammed Abid Abrar, Mohammad Zavid Parvez

Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

Decentralized Blockchain Based IoT System to Enhance Security in Smart Homes.

Shijon Das, Mushaidul Islam, Mohammad Sayeem Sadat Hossain, Abdussalam Mohamad Ali, Mohammad Zavid Parvez

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.

Hamza Ahmed Shad, Quazi Ashikur Rahman, Nashita Binte Asad, Atif Zawad Bakshi, S. M. Faiaz Mursalin, Md Tanzim Reza, Mohammad Zavid Parvez

Proceedings of the IEEE Region 10 Conference, 2021

DWT Based Transformed Domain Feature Extraction Approach for Epileptic Seizure Detection.

Mahajabin Mostafa, Mohtasim Abrar Samin, Nabila Bintey Hassan, Saiara Zerin Nibras, Samir Rahman, Mohammed Abid Abrar, Mohammad Zavid Parvez

Proceedings of the IEEE Region 10 Conference, 2021

Neural Network Architecture for the Classification of Alzheimer's Disease from Brain MRI.

Riasat Mahbub, Muhammad Anwarul Azim, Nafiz Ishtiaque Mahee, Zahidul Islam Sanjid, Khondaker Masfiq Reza, Mohammad Zavid Parvez

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.

Azmain Kabir, Farishta Kabir, Md. Abu Hasib Mahmud, Sanzida Alam Sinthia, S. M. Rakibul Azam, Emtiaz Hussain, Mohammad Zavid Parvez

Proceedings of the IEEE Region 10 Conference, 2021

DFCatcher: A Deep CNN Model to Identify Deepfake Face Images.

Arpita Dhar, Likhan Biswas, Prima Achariec, Shemonti Ahmed, Abida Sultana, Dewan Ziaul Karim, Mohammad Zavid Parvez

Proceedings of the IEEE Region 10 Conference, 2021

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

Abu Md. Sadat, Farhana Binta Salim, Maria Islam Ema, Anita Mahmud Jhara, Mohammad Zavid Parvez, Md Anisur Rahman

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.

Sayed Us Sadat, Homaira Huda Shomee, Alvina Awwal, Sadia Nur Amin, Md Tanzim Reza, Mohammad Zavid Parvez

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Multi-Stage Optimization of Deep Learning Model to Detect Thoracic Complications.

Rizwanul Hoque Ratul, Farah Anjum Husain, Tajmim Hossain Purnata, Rifat Alam Pomil, Shaima Khandoker, Mohammad Zavid Parvez

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Sentiment Analysis Framework Using Data Driven Approach.

Jahedul Islam, Shubiour Shuvo, Tonmoy Sarker, Mohammad Zavid Parvez, Md Anisur Rahman

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.

Fahim Rahman, Md. Istiyak Ahmed, Saif Shahnewaz Saad, Md Ashrafuzzaman, Sharita Shehnaz Mogno, Rafeed Rahman, Mohammad Zavid Parvez

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.

Aiman Jabeen Ramisa, Ananna Hossain, Sk Md Injamul Islam, Ponuel Mollah Swadesh, Md. Toushif Islam, Md Anisur Rahman, Mohammad Zavid Parvez

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.

Md. Jamil-Ur Rahman, Ahashan Habib Niloy, Shammi Akhter Shiba, S. M. Farah Al Fahim, Faizun Nahar Faria, Emtiaz Hussain, Mohammad Zavid Parvez

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2020

Consumer Behavior Analysis using EEG Signals for Neuromarketing Application.

Chowdhury Rabith Amin, Mirza Farhan Hasin, Tasin Shafi Leon, Abrar Bareque Aurko, Tasmi Tamanna, Md Anisur Rahman, Mohammad Zavid Parvez

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.

Mohammad Safkat Karim, Abdullah Al Rafsan, Tahmina Rahman Surovi, Md. Hasibul Amin, Mohammad Zavid Parvez

Proceedings of the Intelligent Human Computer Interaction, 2020

Detection of Stress for Visually Impaired People Using EEG Signals Based on Time-Frequency Domain Analysis.

Samia Sultana, Md Anisur Rahman, Mohammad Zavid Parvez

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.

Asaduzzaman Sajeeb, A. F. M. Nazmus Sakib, Sanjida Ali Shushmita, S. M. Ashraf Kabir, Md Tanzim Reza, Mohammad Zavid Parvez

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.

Afsara Mashiat, Reza Rifat Akhlaque, Fahmeda Hasan Fariha, Md Tanzim Reza, Md Anisur Rahman, Mohammad Zavid Parvez

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Semantic Segmentation of Brain Tumor from 3D Structural MRI Using U-Net Autoencoder.

Maisha Farzana, Md. Jahid Hossain Any, Md Tanzim Reza, Mohammad Zavid Parvez

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Detection of Modulated Motor Cortex using Anodal and Cathodal TDCS based Neurofeedback.

Zarif Ahmed Chowdhury, Dewan Nahidul Alam, Md. Abu Fattah Hossain Bhuiyan Nahid, Md Anisur Rahman, Mohammad Zavid Parvez

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

2019

Classification of Categorical Objects in Ventral Temporal Cortex using fMRI Data.

Sajjad Ahmed, Mohammad Zavid Parvez

Proceedings of the TENCON 2019, 2019

2018

Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids.

Charalampos Saitis, Mohammad Zavid Parvez, Kyriaki Kalimeri

Wirel. Commun. Mob. Comput., 2018

2017

Seizure Prediction Using Undulated Global and Local Features.

Mohammad Zavid Parvez, Manoranjan Paul

IEEE Trans. Biomed. Eng., 2017

2015

Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals.

Mohammad Zavid Parvez, Manoranjan Paul

IET Signal Process., 2015

Seizure prediction by analyzing EEG signal based on phase correlation.

Mohammad Zavid Parvez, Manoranjan Paul

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.

Mohammad Zavid Parvez, Manoranjan Paul

Neurocomputing, 2014