Mohammad Zavid Parvez
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View article: A Framework for Protecting Medical Data in Distributed Learning Environments
A Framework for Protecting Medical Data in Distributed Learning Environments Open
The increasing frequency of cybersecurity threats in healthcare, exemplified by the February 2024 ransomware attack on Change Healthcare, highlights the critical need for robust data protection mechanisms. Traditional centralized healthcar…
View article: Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet
Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet Open
Deepfake technology, derived from deep learning, seamlessly inserts individuals into digital media, irrespective of their actual participation. Its foundation lies in machine learning and Artificial Intelligence (AI). Initially, deepfakes …
View article: Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease
Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease Open
Federated learning is a distributed machine learning paradigm that enables multiple actors to collaboratively train a common model without sharing their local data, thus addressing data privacy issues, especially in sensitive domains such …
View article: Cognitive Load Measurement Based on EEG Signals
Cognitive Load Measurement Based on EEG Signals Open
Measurement of cognitive load should be advantageous in designing an intelligent navigation system for the visually impaired people (VIPs) when navigating unfamiliar indoor environments. Electroencephalogram (EEG) can offer neurophysiologi…
View article: A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition
A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition Open
In today’s digital era, the recognition of handwritten documents is highly demanding due to the widespread applications. Bangla is one of the most used languages in the world, which consists of 50 basic alphabets. Many compound characters …
View article: Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier
Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier Open
The recognition of emotions is a vast significance and a high developing field of research in the recent years. The applications of emotion recognition have left an exceptional mark in various fields including education and research. Tradi…
View article: Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids
Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids Open
Reliable detection of cognitive load would benefit the design of intelligent assistive navigation aids for the visually impaired (VIP). Ten participants with various degrees of sight loss navigated in unfamiliar indoor and outdoor environm…
View article: Epileptic Seizure Prediction By Exploiting Signal Transitions Phenomena
Epileptic Seizure Prediction By Exploiting Signal Transitions Phenomena Open
A seizure prediction method is proposed by extracting global features using phase correlation between adjacent epochs for detecting relative changes and local features using fluctuation/ deviation within an epoch for determining fine chang…
View article: Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals
Epileptic seizure detection by exploiting temporal correlation of electroencephalogram signals Open
Electroencephalogram (EEG) has a great potential for diagnosis and treatment of brain disorders like epileptic seizure. Feature extraction and classification of EEG signals is the crucial task to detect the stages of ictal and interictal s…