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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 ...
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 ...
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 ...
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 ...
Producing self tuned music using machine learning tools
(BRAC University, 2017)
Automatic music genre classification is one of the important tasks for the Music Information Retrieval (MIR). With the development of the knowledge on Machine Learning, researchers have implemented different methods to ...
Crop monitoring system using image processing and environmental data
(BRAC University, 2018)
We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ...
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
(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 ...
Prediction of diabetes induced complications using different machine learning algorithms
(BRAC University, 2018-08)
Machine Learning is an ever expanding field of Artificial Intelligence which uses huge amount of data to develop algorithms that can detect patterns and systems. One such application of Machine Learning is developing ...
Finding suitable locations for live campaigns using different machine learning techniques
(BRAC University, 2018)
For business booming, in recent years the idea of find an ideal location for reaching
potential customers has been the focus of past research. Traditional approaches have faced
many negative responses, now to make business ...