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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 counseling system to predict the study path for freshmen
(BRAC University, 2019-04)
Now a days, dilemma related to one's career has been considered as a serious issue,
specially among fresh graduates. Starting at the age of 18, the students usually fail
to grasp the idea of which career path to pursue ...
Modelling and forecasting energy demand of Bangladesh using AI based algorithms
(Brac University, 2019-04)
Bangladesh being one of the ve fastest growing economies in the world with its
enormous 164.7 million population is facing a huge challenge of adapting to the
surging demand of electricity rising throughout the country ...
Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
(BRAC University, 2018-07)
Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...
Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)
Breast cancer (BC) is one of the most common cancers among women worldwide,
representing the majority of new cancer cases and cancer-related deaths according
to global statistics, making it a signifcant public health ...
Early detection of breast cancer using machine learning
(Brac University, 2018-12)
Breast cancer is the most common cancer among women but in can occur in both the genders.
It is accountable for an appalling number of deaths worldwide. In a particularly low-resource
developing country like Bangladesh, ...
A voice signal based gender prediction model using random forest classifier
(BRAC University, 2018-04)
In the proposed model, Classification and Regression Tree (CART) was used as a classifier to classify
gender using four different algorithms which were tested with changing dataset frames, layer sizes and
samples to get ...
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)
There are signi cant amount of di erences between an addicted and non-addicted
person on their social and familial behavior. In our thesis we tried to nd out
the characteristics of a person related to his social and ...
Predicting stock market movement using sentiment analysis of twitter feed
(BRAC University, 4/16/2017)
Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ...
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)
The application of Arti cial intelligence (AI) has become a valuable part of medical
research. These days diabetes is one of the top maladies on the planet. Nowadays
it has become a common disease and alarming as people ...