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Now showing items 601-610 of 619
Start up business solution using machine learning
(BRAC University, 2018-04)
In the present time data science and artificial intelligence is taking charge of every aspect in our life to make our lives more easy and comfortable. Machine learning is an approach to achieve artificial intelligence and ...
Using sentiment analysis & machine learning for security price forecasting
(BRAC University, 12/20/2015)
We worked with sentiment analysis and supervised machine learning to forecast the security
movements in stock market and benefit from it. Text rich data sources like newspapers, blogs,
stock market related internet forums, ...
Speech based gender identification using empirical mode decomposition (EMD)
(BRAC University, 2014-04)
Traditionally for feature extraction, decomposition techniques such as Fourier
decomposition are used to capture signals. But those methods have some margins
like – it only works for linear and stationary data. On the ...
Supervising vehicle using pattern recognition
(BRAC University, 2018-04)
Our lives are becoming busier day by day. We are consequently forced to delegate important activities to other people. In developing countries, the middle class often have paid drivers pick up their children from schools. ...
Handwritten character recognition and prediction of age, gender and handedness using machine learning
(BRAC University, 2018)
Handwritten character recognition and prediction of age, gender & handedness from handwritten documents offers an interesting research problem for researchers as few research carried out on this field. The aim of this ...
Prediction of human activity using machine learning
(Brac University, 2019-12)
Involving machine learning in recognizing human activities is a widely discussed
topic of this era. It has a noticeable growth of interest for implementing a wide
range of applications such as health monitoring, indoor ...
Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
(Brac University, 2019-08)
This paper proposes the forecasting of correlation coe cients of Dhaka Stock Ex-
change market assets required for portfolio optimization using an ARIMA-LSTM
hybrid model. We have developed a robust model that encompasses ...
Location,time and preference aware restaurant recommendation method
(BRAC University, 2016-08)
Location based social networks (LBSN) introduce a platform to understand users ‘preference via analyzing the ir check-in history. Such data are being used in the literature for wide variety of location aware recommendation ...
A non-classical approach to recommender system for competitive programmers
(BRAC University, 2017-07)
To practice solving programming problems from online automated judge is very
essential for competitive programmers since this helps develop critical thinking
required for solving programming challenges in various programming ...
An in depth analysis of neural network with application in finance
(BRAC University, 2019-04)
Arti cial neural network model is inspired from how the nervous system of brain
works. If it is designed properly it can process large amount of data or information
and can give proper output for di erent application ...