Browsing Department of Computer Science and Engineering (CSE) by Author "Parvez, Mohammad Zavid"
Now showing items 21-40 of 47
-
DWT based transformed domain feature extraction approach for epileptic seizure detection
Mostafa, Mahajabin; Samin, Mohtasim Abrar; Hassan, Nabila Bintey; Nibras, Saiara Zerin; Rahman, Samir (Brac University, 2021-09)Epileptic seizure is a neurological disorder that is prevalent in both males and females of all age ranges. Detection of epileptic seizure serves as an important role for epileptic patients as it allows the initiation ... -
Early detection of diabetic retinopathy using deep learning techniques
Gomes, Veronica Jessica; Alavee, Kazi Ahnaf; Sarda, Anirudh; Akhand, Zebel-E-Noor (Brac University, 2021-10)We, humans, are the bearer of diseases. While most of them have a thoroughly researched and contemplated solution set, some of them do not. Diabetes is one of those common diseases that do not have a clear solution but ... -
Economic crisis prediction due to pandemic outbreak using machine learning
Ahmed, Tanvir; Hasan, MD. Nahid; Ashik, Md.; Hasan, Md. Jahid (Brac University, 2021-06)Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ... -
Economic crisis prediction due to pandemic outbreak using machine learning
Ahmed, Tanvir; Hasan, MD. Nahid; Ashik, Md.; Hasan, Md. Jahid (Brac University, 2021-01)Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ... -
EEG signals analysis for motor imagery brain computer interface
Rahman, La z Maruf; Alam, Zawad; Rahman, Md. Musta-E-Nur (Brac University, 2019-08)A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ... -
An efficient approach for binary classification in brain tumor detection using convolutional neural network
Islam, MD. Arman; Noshin, Sheikh Araf; Islam, MD. Robiul; Razy, MD. Farhan; Antara, Samiha (Brac University, 2022-01)Brain tumor detection using Convolutional Neural Network (CNN) models with binary classification has significantly improved the reliability of medical imaging through Deep Learning. The purpose of this research is to ... -
Electroencephalography based brain controlled grasp and lift
Chakraborty, Pritam; Akter, Sanjida; Hasin, Bariyat; Ahmed, Syeda Faria (Brac University, 2021-09)The complexities and challenges of performing daily fundamental activities like getting dressed, answering a phone call, opening and closing the door, writing something down, or even consuming foods for patients who have ... -
Emotion analysis using machine learning model and deep learning model on DEAP dataset
Hasan, Anita; Abrar, Fahim; Sabur, Eshaan Tanzim; Muntasir, Iftehaj; Na sha, Sumaia Sadia (Brac University, 2021-10)Emotion has a signi cant in uence on how you think and interact with others. It serves as a link between how you feel and the actions you take, or you could say it in uences your life decisions on occasion. Since the ... -
Emotion recognition by exploiting temporal resolution of EEG signals using transformation and learning methods
Uddin, Md.Tousif; Hossain, Mohammed Imaad; Khan, Shakik; Hoque, Tajwar-ul; Ahsan, Md.Jabid (Brac University, 2020-10)Individuals are free to articulate thousands of emotions. Emotion can be associated with feelings articulated by or observable by voice intonation, a facial expression of body language, an initial response from one’s mood ... -
Emotion recognition using EEG signal and deep learning approach
Islam, Sayedi Hassan Bin; Mehdi, Md. Quamar; Rohan, Bhuiyan Yash; Mahmood, Syed Atif Imtiaz (Brac University, 2019-08)Emotion is a mental state, which originates in the brain and is closely related to the nervous system. Emotion can be defined as a feeling expressed through, or detectable by voice intonation, facial expression body ... -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
Karim, Rezwanul; Nitol, Subah; Rahman, Md.Mushfiqur (BRAC University, 2018-12)In recent years, detecting epileptic seizure has gained a high demand in the field of research. It is such a common and high talked brain disorder, since more than 65 million individuals worldwide are affected by this ... -
Epileptic seizure prediction using bandpass filtering and convolutional neural network
Rahman, Tasnia; Mustaqeem, Nabiha; Priyo, Jannatul Ferdous Binta Kalam; Shahariar, Ahnaf; Sharmin, Shaila (Brac University, 2022-01)Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ... -
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
Ishrak, Gazi Hasin; Mahmud, Zalish; Farabe, Md. Zami Al Zunaed; Tinni, Tahera Khanom (Brac University, 2022-01)The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can easily and smoothly stitch anyone into any digital media where they never took part in reality. The key components of deepfake are ... -
Exploring Alzheimer's disease prediction with XAI in various neural network models
Rahman, Quazi Ashikur; Shad, Hamza Ahmed; Asad, Nashita Binte; Bakshi, Atif Zawad; Mursalin, S.M Faiaz (Brac University, 2021-10)Using a number of Neural Network Models, we attempt to explore and explain the prediction of Alzheimer's in patients in various stages of the disease, using MRI imaging data. Alzheimer's disease(AD) often described as ... -
Exploring cognitive load and emotional states for the visually impaired
Afroz, Sharmin; Shimanto, Zubaed Hassan; Jahan, Ra qua Sifat (Brac University, 2019-04)Cognitive load and emotional states may impact for designing an assistive navigation aid for the Visually Impaired Peoples (VIPs). In this study, electroencephalogram (EEG) signals were captured from participants with ... -
A framework for sentiment analysis: a data-driven approach
Islam, Md. Jahedul; Sarker, Tonmoy; Shuvo, Md. Shubiour; Hossen, Md. Robin; Ahmedh, Minhaz Uddin (Brac University, 2021-06)Internet is free and straightforward access to an immense measure of crude content information that can be mined for sentiment analysis. For a long time, this is being used for market research, user opinion mining, ... -
Gene classification and pattern analysis using data mining and machine learning techniques
Ramisa, Aiman Jabeen; Hossain, Ananna; Islam, Sk Md Injamul; Swadesh, Ponuel Mollah; Islam, Md. Toushif (Brac University, 2021-06)Gene classification and pattern extraction from gene sequence data is essential in understanding different gene sequence features. The field of gene expression data analysis has grown in the past few years from being ... -
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
Kabir, Azmain; Kabir, Farishta; Mahmud, Md. Abu Hasib; Sinthia, Sanzida Alam; Azam, S. M. Rakibul (Brac University, 2021-10)The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ... -
Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
Rahman, Fahim; Ahmed, Md.Istiyak; Saad, Saif Shahnewaz; Ashrafuzzaman, Md; Mogno, Sharita Shehnaz (Brac University, 2021-06)The significance and urgency of detecting cognitive load of Visually Impaired Person is essential when perception comes while designing an automated navigation aid for them in unfamiliar indoor environments.Our paper ... -
Prediction of Epileptic Seizure onset based on EEG signals and learning approaches
Nazim, Tausif; Abid, MD. Bakhtiar; Mamun, Jahid Hasan (Brac University, 2020-04)Epileptic seizures happen due to sudden bursts of electrical activity in the brain. This uncontrolled outburst may produce physical problems, abnormal behavior. Before the beginning of the seizure, a prediction is very ...