Now showing items 1-10 of 10

    • A counseling system to predict the study path for freshmen 

      Usha, Rowshni Tasneem; Parvez, Shiny Raisa; Sejuti, Fariha Sazid; Hossain, Maisha (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 ...
    • Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning 

      Hussain, Nadib; Islam, Tanvir; Apu, Rafik Un Nabi (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 ...
    • Early detection of breast cancer using machine learning 

      Fuad, Wasi Mohammad (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, ...
    • Early threat warning via speech and emotion recognition from voice calls 

      Ishtiak, Ifaz; Rahman, Mohammad Mazedur; Usmani, Md.Razaul Haque (BRAC University, 2018-12)
      The aim of this system is to identify potential cases of threats, and provide an early warning or alert to such cases. This will be based on voice such as voice chat over telecommunication networks or social media. The ...
    • Finding suitable locations for live campaigns using different machine learning techniques 

      Qudar, Mohiuddin Md. Abdul; Tazrin, Tahrat; Khanam, Kazi Zainab (BRAC University, 2018)
      For business booming, in recent years the idea of find an ideal location for reaching potential customers has been the focus of past research. Traditional approaches have faced many negative responses, now to make business ...
    • Forecasting stock market prices using advanced tools of machine learning 

      Anwar, Md. Tawhid; Rahman, Saidur (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 ...
    • Modelling and forecasting energy demand of Bangladesh using AI based algorithms 

      Mahmud, Booshra Nazifa; Ferdoush, Zannatul; Mim, Lamia Tasnim (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 ...
    • Predicting stock market movement using sentiment analysis of twitter feed 

      Chakraborty, Pranjal; Rony, Rashad Al Hasan; Pria, Ummay Sani (BRAC University, 2017-04-16)
      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, ...
    • Speech emotion detection using supervised, unsupervised and feature selection algorithms 

      Rifat, Abu Nuraiya Mahfuza Yesmin; Biswas, Aditi; Chowdhury, Nadia Farhin (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 voice signal based gender prediction model using random forest classifier 

      Ahmed, Saif; Hossain, Sajjad; Chowdhury, Gazala; Mehnaz, Maliha (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 ...