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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 ...
Detection of fake identities on twitter using supervised machine learning
(BRAC University, 2019-05)
Social media has changed the way people get their news. Once people used to
buy newspapers to get their news but now everything is online. It has changed
the dimension of how we receive news altogether. With a growing e ...
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 ...
Smoke detection using deep Convolutional neural network
(Brac University, 2019-08)
In a densely populated country like Bangladesh, fire accidents have become a fre-
quent disaster that primarily be formed as a consequence of unconsciousness among
the people. Therefore, detection of smoke, is a must in ...
Emotion recognition using EEG signal and deep learning approach
(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 ...
Classi cation of magnetic configurations using machine learning algorithms
(Brac University, 2019-08)
Machine learning is used to carry out e cient studies and analyses in the eld of condensed
matter physics. We propose comprehensive machine learning approaches that
would classify between magnetic structures. We propose ...
A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation
(Brac University, 2019-12)
Crude oil is one of the most important determinant of the global and national economy and important decision making factors of industrial activities. For this reason,
numerous mathematical and machine learning approaches ...
Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
(Brac University, 2019-08)
Recognizing a growing need to accommodate students of varied backgrounds and account
for individual di erences in learning curves, this paper re
ects on our work to
implement a Temporally Coherent Clustering approach ...
An NDN based indoor positioning and navigation system
(Brac University, 2019-12)
Providing navigation services indoor is becoming a growing trend in recent years.
Traditional GPS is not a viable solution for indoor use as it demands more accuracy
and may be out of reach of GPS signals. Indoor positioning ...
Bengali hand sign language recognition using convolutional neural networks
(BRAC University, 2019-04)
Throughout the world the number of deaf and mute population is rising ever so
increasingly. In particular Bangladesh has around 2.6 million individuals who aren't
able to communicate with society using spoken language. ...