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EEG signals analysis for motor imagery brain computer interface
(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 ...
Analysing Facebook user risk using machine learning algorithm
(Brac University, 2020-04)
Now-a-days people exchange their personal information and interact with companions and close relatives in a way which is revolutionized. In any case, the majority of
them don’t have the foggiest idea how to utilize, where ...
Speech emotion detection using supervised, unsupervised and feature selection algorithms
(BRAC University, 2019-04)
A tremendous research is being done on Speech Emotion Recognition (SER) in the
recent years with its main motto to improve human machine interaction. In this
thesis work,we have introduced a scheme for emotion recognition ...
Voice impersonation detection using LSTM based RNN and explainable AI
(Brac University, 2021-10)
The advancing eld of arti cial synthetic media introduced deepfakes which made
it easier to synthesize a person's voice, identical to their original voice mechanically
to use it for negative means. People's voices are ...
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 ...
A machine learning approach to predict movie box-office success
(BRAC University, 2017)
Making a prediction of society’s reaction to a new product in the sense of popularity and adaption rate has become an emerging field of data analysis. The motion picture industry is a multi-billion dollar business. And ...
Exploring cognitive load and emotional states for the visually impaired
(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 ...
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
(Brac University, 2020-04)
Uterine cervical cancer is the second most regular gynecological harm around the
world. The appraisal of the degree of sickness is fundamental for arranging ideal
treatment. Imaging procedures are progressively utilized ...
An analysis on the effects of parenting style on offspring’s behavior using machine learning
(Brac University, 2022-12-04)
Parents are usually the most important person for a human being as they encourage
and support an offspring’s physical, emotional, social, and intellectual development
from infancy to maturity. An individual faces various ...
Subjectivity analysis using machine learning algorithm
(BRAC University, 2016)
This paper investigates a new approach of finding sentence level subjectivity analysis using different machine learning algorithms. Along with subjectivity analysis sentiment analysis has also been shown separately in this ...