Now showing items 1198-1217 of 1335

    • Span analysis of optical fiber transmission based on WDM , DWDM and DQPSK 

      Kabir, Humayun; Faruq, Asaduzzaman All; Reza, Tanvir (BRAC University, 2008-05)
      Today’s world depending on frequent data communication, optical fiber is the most frequent physical backbone to transferring carrier information and sometimes it is distorted, attenuated and losses of information. Span ...
    • Spectrum allocation in cognitive radio networks based on Shapley value 

      Azad, Tabassum Binte; Hassan, Mehedi; Mahmud, Sejan; Jasmin, Humyra (BRAC University, 8/21/2017)
      In the era of spectrum allocation Cognitive Radio (CR) is a favorable solution to the lack of spectrum which is static for each type of communication device and operator causes the waste of a lot of idle spectrum. So that, ...
    • Spectrum allocation in cognitive radio networks based on shapley value 

      Azad, Tabassum Binte; Hassan, Mehedi; Mahmud, Sejan; Jasmin, Humyra (BRAC University, 8/21/2017)
      In the era of spectrum allocation Cognitive Radio (CR) is a favorable solution to the lack of spectrum which is static for each type of communication device and operator causes the waste of a lot of idle spectrum. So that, ...
    • Speech based gender identification using empirical mode decomposition (EMD) 

      Chowdhury, Mahpara Hyder (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 ...
    • Speech command classification based on deep neural networks 

      Hossain, Md. Sakib; Islam, Syed Tamzidul; Mazumder, Sujat; Joy, Ali Imran; Sakib, Md. Sadman (Brac University, 2023-03)
      In our day-to-day life there are lots of sounds that we are processing. To process these sounds our brain absorb sound signals and provide us informative knowledge. For human being this is not possible to extract every ...
    • 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 ...
    • Speed limit traffic sign recognition in night mode based on deformable spatial pyramid 

      Pinku, Subroto Nag (BRAC University, 4/20/2016)
      Traffic signs play a vital role in transportation system. Many road accidents occur due to over speed. Detecting and classifying different group of Speed limit traffic signs can save our lives as well as resources. In this ...
    • Spinal Cord Injured (SCI) patients Length of Stay (LOS) prediction based on admission data 

      Mazhar, Tabib Ibne; Suha, Nusrat Jahan (BRAC Univeristy, 2017-08)
      In order to take better care and to ensure better facilities to the inpatients, predicting length of stay serves great importance. Since, the resources and the doctors are limited in the hospital especially in a developing ...
    • 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 ...
    • 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 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 ...