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ORCIDMohammad Zavid Parvez
Person information
- affiliation: BRAC University, Dhaka, Bangladesh
- affiliation (2017): ISI Foundation, Turin, Italy
- affiliation (PhD 2016): Charles Sturt University, Bathurst, NSW, Australia
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2020 – today
- 2024
[j8]Khan Abrar Shams, Md. Rafid Reaz, Mohammad Ryan Ur Rafi
, Sanjida Islam, Md. Shahriar Rahman, Rafeed Rahman, Md. Tanzim Reza, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, Abdullah M. Alamri:
MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition. IEEE Access 12: 83638-83657 (2024)- [j7]Hang Thanh Bui, Hamed Aboutorab, Arash Mahboubi, Yansong Gao, Nazatul Haque Sultan, Aufeef Chauhan, Mohammad Zavid Parvez, Michael Bewong, Rafiqul Islam, Zahidul Islam, Seyit Ahmet Çamtepe, Praveen Gauravaram, Dineshkumar Singh, Muhammad Ali Babar, Shihao Yan:
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems. Comput. Secur. 140: 103754 (2024) - [i1]Gazi Hasin Ishrak, Zalish Mahmud, Md. Zami Al Zunaed Farabe, Tahera Khanom Tinni, Md Tanzim Reza, Mohammad Zavid Parvez:
Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet. CoRR abs/2404.12841 (2024) - 2023
- [j6]Moinul Islam, Md. Tanzim Reza, Mohammed Kaosar, Mohammad Zavid Parvez:
Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images. Neural Process. Lett. 55(4): 3779-3809 (2023) - [c31]Nusrat Jahan, Zakia Sultana Shahid, Fahim Chowdhury, Sajjad Ahmed, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty:
A Comparison of LSTM and GRU for Bengali Speech-to-Text Transformation. ACR 2023: 214-224 - [c30]Md Tanzim Reza, Shakib Mahmud Dipto, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty:
A Power Efficient Solution to Determine Red Blood Cell Deformation Type Using Binarized DenseNet. ACR 2023: 246-256 - [c29]Md. Arman Islam, Sheikh Araf Noshin, Md. Robiul Islam, Md. Farhan Razy, Samiha Antara, Md. Tanzim Reza, Mohammad Zavid Parvez:
A Low Parametric CNN Based Solution to Efficiently Detect Brain Tumor Cells from Ultrasound Scans. CCWC 2023: 1152-1158 - [c28]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:
Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease. DICTA 2023: 81-88 - [c27]Nafisa Nawer, Md. Shakiful Islam Khan, Md Tanzim Reza, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty:
Improving Non-Invasive Brain Tumor Categorization using Transformers on MRI Data. DICTA 2023: 289-295 - [c26]Nafisa Nawer, Mohammad Zavid Parvez, Muhammad Iqbal Hossain, Prabal Datta Barua, Mia Rahim, Subrata Chakraborty:
CNN-Based Handwriting Analysis for the Prediction of Autism Spectrum Disorder. ICR 2023: 165-174 - [c25]Shakib Mahmud Dipto, Md Tanzim Reza, Md Nowroz Junaed Rahman, Mohammad Zavid Parvez, Prabal Datta Barua, Subrata Chakraborty:
An XAI Integrated Identification System of White Blood Cell Type Using Variants of Vision Transformer. ICR 2023: 303-315 - 2022
- [j5]Mohammad Meraj Khan, Mohammad Shorif Uddin, Mohammad Zavid Parvez, Lutfur Nahar:
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part B): 3356-3364 (2022) - [c24]Md. Shahriar Rahman, Nadia Tasnim Mim, Jonayed Ahmed Riduan, Ridwane-Ul-Islam, Most. Mahjabin, Mohammed Abid Abrar, Mohammad Zavid Parvez:
Average Power Based EEG Channel Selection Method for Emotion Recognition. ICR 2022: 270-280 - [c23]Shijon Das, Mushaidul Islam, Mohammad Sayeem Sadat Hossain, Abdussalam Mohamad Ali, Mohammad Zavid Parvez:
Decentralized Blockchain Based IoT System to Enhance Security in Smart Homes. ICR 2022: 310-320 - [c22]Nabiha Mustaqeem, Tasnia Rahman, Jannatul Ferdous Binta Kalam Priyo, Mohammad Zavid Parvez, Tanvir Ahmed:
Epileptic Seizure Prediction Using Bandpass Filtering and Convolutional Neural Network. MIET (2) 2022: 17-30 - 2021
- [c21]Md. Jamil-Ur Rahman, Ahashan Habib Niloy, Shammi Akhter Shiba, S. M. Farah Al Fahim, Faizun Nahar Faria, Emtiaz Hussain, Mohammad Zavid Parvez:
CoroPy: A Deep Learning Based Comparison Between X-Ray and CT Scan Images in Covid-19 Detection and Classification. BIOMESIP 2021: 392-404 - [c20]Aiman Jabeen Ramisa, Ananna Hossain, Sk Md Injamul Islam, Ponuel Mollah Swadesh, Md. Toushif Islam, Md Anisur Rahman, Mohammad Zavid Parvez:
Gene Expression Data Classification and Pattern Analysis Using Data Driven Approach. ICMLC 2021: 1-9 - [c19]Fahim Rahman, Md. Istiyak Ahmed, Saif Shahnewaz Saad, Md Ashrafuzzaman, Sharita Shehnaz Mogno, Rafeed Rahman, Mohammad Zavid Parvez:
Prediction And Detection In Change Of Cognitive Load For VIP's By A Machine Learning Approach. IICAIET 2021: 1-6 - [c18]Jahedul Islam, Shubiour Shuvo, Tonmoy Sarker, Mohammad Zavid Parvez, Md Anisur Rahman:
Sentiment Analysis Framework Using Data Driven Approach. ICDM (Workshops) 2021: 143-150 - [c17]Sayed Us Sadat, Homaira Huda Shomee, Alvina Awwal, Sadia Nur Amin, Md Tanzim Reza, Mohammad Zavid Parvez:
Alzheimer's Disease Detection and Classification using Transfer Learning Technique and Ensemble on Convolutional Neural Networks. SMC 2021: 1478-1481 - [c16]Abu Md. Sadat, Farhana Binta Salim, Maria Islam Ema, Anita Mahmud Jhara, Mohammad Zavid Parvez, Md Anisur Rahman:
A Study on Reward and Punishment Learning Using A Data-Driven Approach. SMC 2021: 2381-2388 - [c15]Rizwanul Hoque Ratul, Farah Anjum Husain, Tajmim Hossain Purnata, Rifat Alam Pomil, Shaima Khandoker, Mohammad Zavid Parvez:
Multi-Stage Optimization of Deep Learning Model to Detect Thoracic Complications. SMC 2021: 3000-3005 - [c14]Mahajabin Mostafa, Mohtasim Abrar Samin, Nabila Bintey Hassan, Saiara Zerin Nibras, Samir Rahman, Mohammed Abid Abrar, Mohammad Zavid Parvez:
DWT Based Transformed Domain Feature Extraction Approach for Epileptic Seizure Detection. TENCON 2021: 411-416 - [c13]Arpita Dhar, Likhan Biswas, Prima Achariec, Shemonti Ahmed, Abida Sultana, Dewan Ziaul Karim, Mohammad Zavid Parvez:
DFCatcher: A Deep CNN Model to Identify Deepfake Face Images. TENCON 2021: 545-550 - [c12]Riasat Mahbub, Muhammad Anwarul Azim, Nafiz Ishtiaque Mahee, Zahidul Islam Sanjid, Khondaker Masfiq Reza, Mohammad Zavid Parvez:
Neural Network Architecture for the Classification of Alzheimer's Disease from Brain MRI. TENCON 2021: 693-697 - [c11]Hamza Ahmed Shad, Quazi Ashikur Rahman, Nashita Binte Asad, Atif Zawad Bakshi, S. M. Faiaz Mursalin, Md Tanzim Reza, Mohammad Zavid Parvez:
Exploring Alzheimer's Disease Prediction with XAI in various Neural Network Models. TENCON 2021: 720-725 - [c10]Azmain Kabir, Farishta Kabir, Md. Abu Hasib Mahmud, Sanzida Alam Sinthia, S. M. Rakibul Azam, Emtiaz Hussain, Mohammad Zavid Parvez:
Multi -Classification based Alzheimer's Disease Detection with Comparative Analysis from Brain MRI Scans using Deep Learning. TENCON 2021: 905-910 - 2020
- [c9]Samia Sultana, Md Anisur Rahman, Mohammad Zavid Parvez:
Detection of Stress for Visually Impaired People Using EEG Signals Based on Time-Frequency Domain Analysis. ICMLC 2020: 118-123 - [c8]Afsara Mashiat, Reza Rifat Akhlaque, Fahmeda Hasan Fariha, Md Tanzim Reza, Md Anisur Rahman, Mohammad Zavid Parvez:
Detection of Brain Tumor and Identification of Tumor Region Using Deep Neural Network On FMRI Images. ICMLC 2020: 124-130 - [c7]Asaduzzaman Sajeeb, A. F. M. Nazmus Sakib, Sanjida Ali Shushmita, S. M. Ashraf Kabir, Md Tanzim Reza, Mohammad Zavid Parvez:
Parkinson's Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network. ICMLC 2020: 131-136 - [c6]Maisha Farzana, Md. Jahid Hossain Any, Md Tanzim Reza, Mohammad Zavid Parvez:
Semantic Segmentation of Brain Tumor from 3D Structural MRI Using U-Net Autoencoder. ICMLC 2020: 137-142 - [c5]Zarif Ahmed Chowdhury, Dewan Nahidul Alam, Md. Abu Fattah Hossain Bhuiyan Nahid, Md Anisur Rahman, Mohammad Zavid Parvez:
Detection of Modulated Motor Cortex using Anodal and Cathodal TDCS based Neurofeedback. ICMLC 2020: 201-206 - [c4]Mohammad Safkat Karim, Abdullah Al Rafsan, Tahmina Rahman Surovi, Md. Hasibul Amin, Mohammad Zavid Parvez:
Stress Detection from Different Environments for VIP Using EEG Signals and Machine Learning Algorithms. IHCI (1) 2020: 163-173 - [c3]Chowdhury Rabith Amin, Mirza Farhan Hasin, Tasin Shafi Leon, Abrar Bareque Aurko, Tasmi Tamanna, Md Anisur Rahman, Mohammad Zavid Parvez:
Consumer Behavior Analysis using EEG Signals for Neuromarketing Application. SSCI 2020: 2061-2066
2010 – 2019
- 2019
- [c2]Sajjad Ahmed, Mohammad Zavid Parvez:
Classification of Categorical Objects in Ventral Temporal Cortex using fMRI Data. TENCON 2019: 1778-1782 - 2018
- [j4]Charalampos Saitis, Mohammad Zavid Parvez, Kyriaki Kalimeri:
Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids. Wirel. Commun. Mob. Comput. 2018 (2018) - 2017
- [j3]Mohammad Zavid Parvez, Manoranjan Paul:
Seizure Prediction Using Undulated Global and Local Features. IEEE Trans. Biomed. Eng. 64(1): 208-217 (2017) - 2015
- [j2]Mohammad Zavid Parvez, Manoranjan Paul:
Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals. IET Signal Process. 9(6): 467-475 (2015) - [c1]Mohammad Zavid Parvez, Manoranjan Paul:
Seizure prediction by analyzing EEG signal based on phase correlation. EMBC 2015: 2888-2891 - 2014
- [j1]Mohammad Zavid Parvez, Manoranjan Paul:
Epileptic seizure detection by analyzing EEG signals using different transformation techniques. Neurocomputing 145: 190-200 (2014)
Coauthor Index
aka: Md. Tanzim Reza
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last updated on 2024-10-07 22:08 CEST by the dblp team
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