Browsing Department of Computer Science and Engineering (CSE) by Author "Parvez, Mohammad Zavid"
Now showing items 1-20 of 49
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Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
(Brac University, 2021-01)Alzheimer’s disease (AD) is a neurological disease that affects the healthy cells of the brain and results in people having long-term memory loss, thinking problems, disorientation, behavioral inconsistencies and finally ... -
Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
(Brac University, 2019-12)Although keeping us alive is arguably the most important function of the human brain, the human brain is responsible for a host of functions|including processing of environmental stimuli. Electroencephalography (EEG) is ... -
Classi fication of motor imagery tasks based on BCI paradigm
(Brac University, 2019-09)Motor imagery tasks are mental processes by which individual practices a set of actions in their mind without actually performing the physical movements. Research in the motor imagery tasks allow us to acquire critical ... -
Cognitive load detection of vision impaired in the inward places using Bio-signal
(Brac University, 2019-12)In this current world, approximately 290 millions of people are partially or fully blind. They can not roam around like the normal people. Visually Impaired People (VIP) have to face many obstacles everyday in inward and ... -
A comparative analysis of emotion recognition using EEG signals with a channel selection technique
(Brac University, 2021-01)Emotion can be defined as the neurophysiological changes people experience due to significant internal or external occasions. This is a mental condition that can a↵ect a person’s behavior, mood, way of life, and relationship ... -
Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
(Brac University, 2015-08)Coronavirus 2019 (in short, COVID-19), originated in the Wuhan province of China in December 2019, has been declared a global pandemic by WHO in March 2020. Since its inception, it’s rapid spread among nations had initially ... -
Comparison of different CNN architectures for brain tumor detection using fMRI
(Brac University, 2020-04)Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire nervous system gets collapsed. The brain tumors are the ... -
Consumer behaviour analysis using EEG signals for Neuromarketing Application
(Brac University, 2019-12)Neuromarketing is applying neuropsychology in marketing research which studies consumer sensory-motor such as cognitive and affective response to marketing stimuli with the help of modern technologies. It is one of the ... -
Conversion of Bengali speech to text using long short-term memory(LSTM)
(Brac University, 2021-01)Speech to text conversion is a remarkable topic in the field of Artificial Intelligence which is undoubtedly a significant medium of expressing human feelings and thoughts. However, if we compare it with text to speech, ... -
COVID-19 related fake news detection model
(Brac University, 2021-01)In this era of developed information and technology, any sort of information runs faster than air. The reliability of the information can be tricky at times. Some news publishing sources can publish news that are actually ... -
Deepfake detection in videos detecting face wrapping artifacts with convolutional neural network
(Brac University, 2021-01)Alteration of video les by changing the face of a person on frame is Deepfake. In such manipulated contents a person's face is used on a video performing or saying something that they never actually said or did. Deepfake ... -
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
(Brac University, 2021-09)Alzheimer’s Disease (AD) is a neurological condition where the decline of brain cells causes acute memory loss and severe loss in cognitive functionalities. Various Neuroimaging techniques have been developed to diagnose ... -
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)In recent years, advancement in the realm of machine learning has introduced a feature known as Deepfake pictures, which allows users to substitute a genuine face with a fake one that seems real. As a result, distinguishing ... -
Detecting navigation challenges for the visually impaired with mobile monitoring of biosignal
(Brac University, 2020-04)In recent years, mobile Brain Computer Interface (BCI) has gained much popularity in the design of navigation aids. This opens up the platform to build navigation aids based on the level of stress imposed on visually ... -
Detection of alzheimer's disease using deep learning
(Brac University, 2019-12)Machine Learning has been on top of its form over the last few years. It covers a vast area of predictive web browsing, email and text classification, object detection, face recognition etc. Among all of the other ... -
Detection of amyotrophic lateral sclerosis using signal processing and machine learning
(Brac University, 2019-04)Electromyography(EMG) signals provide signi cant information for the diagnosis of neuromuscular disorders like Amyotrophic Lateral Sclerosis(ALS) which is a form of Motor Neuron Disease(MND). Due to the stochastic nature ... -
Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
(Brac University, 2019-12)Parkinson's Disease is a progressive nervous system brain disorder which affects motor neuron loss control and movement coordination. Parkinson's symptoms are shown gradually and get worse over time. Its signs and symptoms ... -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
(Brac University, 2021-06)Epilepsy is the most common neurological issue in people after stroke. Around 40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ... -
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
(Brac University, 2021-09)Intracranial hemorrhage is an acute bleeding within the skull which can damage the brain tissue and can eventually lead to disability or even death. It is a serious medical condition that occurs when blood is built up ... -
Detection of mental stress using EEG signal and classifier based on reward and punishment processing
(Brac University, 2021-01)Mental stress is the main well being problem worldwide today. Mental stress is by far the most common, responsible for most of all mental-brain diseases. The high incidence, high impairment and heavy risk of illness make ...
