Now showing items 1-6 of 6
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 ...
Using deep learning algorithms to detect violent activities
(BRAC University, 2019-05)
It is of extensive importance to develop a technique for automatic surveillance video analysis to recognize the presence of violence. In this work, to identify violent videos, we put forward a deep neural network. For ...
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)
Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent ...
Learning a deep neural network for predicting phishing website
(Brac University, 2019-05)
In recent years, we have seen a huge paradigm shift in business because of the fast development of the Web. For this reason, consumers change their tendency from customary shopping to the electronic business. In the time ...
Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
(Brac University, 2019-04)
This paper creates and examines the performance of LSTM models against ARIMA models, using Dhaka Stock Exchange data from beginning of 2000 to the beginning of 2019. An algorithm has been designed to simultaneously train ...
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 ...