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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 ...
LVQ and HOG based speed limit traffic signs detection and categorization
(© 2014 IEEE Computer Society, 2014)
The proper identification of the traffic signs can ensure driving safety and can play a very important role in reducing the number of road accidents significantly. This paper represents a uniform way to detect the speed ...
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 ...
Detection and classification of speed limit traffic signs
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014-10)
This paper presents a novel traffic sign recognition system which can aid in the development of Intelligent Speed Adaptation. This system is based on extracting the speed limit sign from the traffic scene by Circular Hough ...
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 ...