Now showing items 1276-1295 of 1418

    • SQL injection prevention using hyperledger fabric 

      Billah, MD. Minhazul; Zahir, Adnan-Bin; Tabassum, Syeda Lamia; Siam, Tanvinur Rahman; Labib, MD. Nefaur Rahman (Brac University, 2021-01)
      Web applications used nowadays are heavily dependent on huge amounts of data. SQL databases contain these data. However, these applications face major security breaches due to the vulnerability present in the databases. ...
    • Squad selection for cricket team using machine learning algorithms 

      Malek, Meraj-Bin-; Badhan, Rakib Hasan; Shesir, Mohaiminul Islam; Fakir, Nazmul Haque (Brac University, 2018-10)
      There are mainly three renowned formats of cricket – ODI (One Day International), Test Match and T20 (Twenty Twenty). Selecting a 15 men perfect squad for a particular cricket match in a particular cricket tournament ...
    • A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition 

      Khan, Mohammad Meraj (Brac University, 2021-08)
      With the recent advancement in artificial intelligence, the demand for handwrit- ten character recognition increases day by day due to its widespread applications in diverse real-life situations. As Bangla is the world’s ...
    • Staircase and escalator detection for visually impaired 

      Zereen, Aniqua Nusrat (BRAC Univeristy, 2016-06)
      In this thesis, two different methods are presented for staircase detection. First method works with real time captured still image and second method with real time video. Stairway detection and identification of up stair ...
    • Start up business solution using machine learning 

      Sohan, Saad Ahmed; Nakib, Ayman; Ahmed, Tanvir (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 ...
    • Stock market prediction using ensemble learning 

      Rabbani, Rakin Bin; Amin, B. M. Fahad-ul; Khan, Sumaiya Tanjil; Mahbub, Farjiya Benta (Brac University, 2020-04)
      An unpredictable sector of finance market which involves three major roles: investors, buyers and sellers is called a stock market. Also stock prices may not only change the future economy of a country but also have direct ...
    • Stock market prediction using time series analysis 

      Hira, Farhan Islam; Maruf, Mazharul Ferdous; Hossain, Afzal (BRAC University, 2018-12)
      Stock market, a very unpredictable sector of finance, involves a large number of investors, buyers and sellers. Stock prediction has been a phenomenon since machine learning was introduced. But very few techniques became ...
    • Stock Market Price movement prediction using RNN and Point-weight Sentiment 

      Uddin, S. M. Rageeb Noor; Naim, Jannatul Arafat; Pranjol, Mashuk Arefin; Ashrafi, Almas; Emon, Ibthasham Amin (Brac University, 2022-01)
      Predicting the price of stocks has always been an exciting and challenging field for academics and investors for a long time as it helps to gain high-profit margins for investment companies, investors, and emerging ...
    • Stock price forecasting using Bayesian network 

      Tabassum, Parisa; Halder, Mita (BRAC University, 2018-08)
      In a financially volatile market, as the stock market, it is important to have a very precise prediction of a future trend. Because of the financial crisis and scoring profits, it is mandatory to have a secure prediction ...
    • Stock price prediction 

      Das, Kaushik; Azad, Tahzib; Islam, Sadid; Chowdhury, Nuzhat; Ahmed, Nazia (Brac University, 2023-05)
      Accurately predicting the stock value enables investors to earn more money, reducing their uncertainty on whether to buy and sell. Again during the COVID-19 period, many companies have shown a different picture of the ...
    • Stock price prediction using time series data 

      Mazed, Mashtura (Brac University, 2019-08)
      Researchers has taken a lot of years to make algorithms fast and accurate enough to make stock price predictions accurately. Investors are looking for smarter techniques to forecast stock prices for investments and this ...
    • Stress detection for visually impaired people using EEG signals based on extracted features from time-frequency domain 

      Sultana, Samia (Brac University, 2022-06)
      Stress refers to body's physical, emotional and psychological reaction to any environmental change needing adjustment with major impact on human psychology. Stress is specially di cult to manage for visually impaired ...
    • Stress factors identification and comparative study of stress levels among undergraduate students 

      Khan, Samiha; Mousumi, Mahinur Akter; Saiyara, Noshin; Fatema, Mehanaz (Brac University, 2020-04)
      Stress has become a part of the academic life of the students, thanks to the different internal and external demands put on their shoulders constantly. Excessive and protracted stress has consequences that transcend pure ...
    • Structurally and semantically coherent deep image inpainting 

      Sami, Mirza Tanzim; Khan, Ehsanul Amin; Rhidita, Ishrat Naiyer (BRAC University, 2018-12)
      This thesis proposes an augmented method for image completion, particularly for images of human faces by leveraging on deep learning based inpainting techniques. Face completion generally tend to be a daunting task because ...
    • Study and implementation of various rich internet application technologies and its beckoning possibilites 

      Hossain, Sabbir (BRAC University, 2007-01)
      For the past ten years- the technological advancement on the field of Internet Applications or Online Services has been astonishing. From the last few years of the previous century to this day, the World Wide Web has ...
    • Study of a user-centered design approached to developing a local positioning system for smartphones 

      Jubaier, Ashiqur; Saha, Raj Kapoor; Tisha, Farzia Hoque (BRAC University, 2011-12)
      Our application will help users in finding their way around different places inside BRAC University. The user will input the destination and the application will help to find a path from the user’s current location. Our ...
    • A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning 

      Raizan, Syed Ahsan; Alam, Sayed Tanjim (Brac University, 2021-01)
      Analyzing data on the populace involved in BRAC’s Skills Development Programme (SDP), receiving training for jobs and businesses in the informal sector of the economy, research aims to predict and/or classify whether or ...
    • Study of SMS security as part of an electronic voting system 

      Mushfiqur Rahman, Chowdhury; Khan, Shah Md. Adnan (BRAC University, 2006-05)
      E-voting is a new technology in voting system. Recently it was experimented in UK. Basically, this system is proposed to work via Short Message System (SMS). Using secure messaging system we are trying to develop the ...
    • Study of WiMAX simulation 

      Ahmed Al Amin; Khan, Moniruzzaman; Alam, Saiful; Mony, Riaz Mohammad (BRAC University, 2008-05)
      I n modern world wireless communication systems are involved in every part of life. WiMAX is the upcoming wireless system which uses IEEE standard 802.16. By using WiMAX technology we can overcome the limitations of the ...
    • A study on author ranking 

      Haq, Md. Adnanul; Islam, Md. Noushin; Jeba, Labiba Tasfiya; Prome, Iffat Afsara; Roy, Palash Ranjan (Brac University, 2021-09)
      In this research we have studied the problem of ranking papers and authors based upon their citations by other authors. Simple count of number of authors citing a particular paper or author may not be very representative ...