Browsing by Subject "Prediction"

Now showing items 41-51 of 51

    • Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network 

      Ismail, Sayem Mohammad; Hossain, Md. Sajjad; Sobhan, Irina (Brac University, 2020-06)
      Transfer learning techniques in deep learning is nowadays a raising and promising field of research and a tool for Artificial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ...

    • Prediction of production rate for cultivable land correlating soil quality parameters and weather condition 

      Hassan, Mehedi; Rahman, S.M. Mushfiqur; Sobhani, Shadman (Brac University, 2023-07)
      In the modern time due to increasing global warming, the change of weather patterns and increase in pollution, the amount of crop production has been adversely affected. While on the other hand farmers trying to prevent ...

    • RED-LSTM: Real time emotion detection using LSTM 

      Labiba, Mansura Rahman; Jahura, Fatema Tuj; Alam, Sadia; Binte Morshed, Tasfia; Rahman, Wasey (Brac University, 2023-01)
      The development of the Internet of Things and voice-based multimedia apps has allowed for the association and capture of several aspects of human behavior through the use of big data, which consists of trends and patterns. ...

    • Sentiment analysis using Natural Language Processing (NLP) & deep learning 

      Islam, Kazi Minhazul; Reza, Md. Safkat; Yeaser, MD. Samin (Brac University, 2021-09)
      It is an age of the Web and electronic media, and social media stages are one of the foremost frequently used communication mediums these days. But a few individuals utilize these platforms for a noxious reason and among ...

    • Share market forecasting with LSTM neural network and sentimental trend prediction 

      Rony, Ismail Hossain; Anik, Ahsan Ahmed; Asif, Abdullah Al; Muhammad, Sayeed (Brac University, 2019-09)
      Forecasting and predicting future trend is getting signi cant importance in stock market exponently as it is volatile in nature. Stock market is an extremely complicated , unstable and volatile place due to the fact that ...

    • 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 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 ...

    • Towards solving perception based autonomous driving assistant system 

      Hossain, Md. Arafat; Rahman, Md. Sazidur; Islam, Md. Jisan Bin; Bhuiyan, Sazzad Alam (Brac University, 2021-09)
      This thesis scrutinizes the problem of perception in the self-driving car system. Selfdriving car is the face of the future and the decade’s research focus. Tech giants like Google, Uber, Tesla, Commai, Intel MobilEye ...

    • Weather forecasting using Deep Learning 

      Fahad, Sheikh Abdul; Trina Akand, Takowa Islam; Ahammed Raju, Md. Reaj Uddin; Yadav, Ranjita (Brac University, 2022-09)
      Global human life is significantly impacted by weather forecasts. It takes a lot of computing resources to solve mathematical equations that are based on climatic circumstances. As a result, during the past ten years, ...

    • Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques 

      Habib, Adria Binte (Brac University, 2021-06)
      It is known to all that the existence of life is highly dependent on the weather. Due to the unfavorable condition of current global weather the existence of life is in danger already. Since for the existence of lives a ...