Now showing items 1-10 of 10

    • Analyzing area-wise air pollution level using machine learning for a better future 

      Sihan, Sk. Atik Tajwar; Rabbani, Maisha; Agarwala, Manish; Maliha, Sanjida Alam (Brac University, 2021-09)
      Environment consists of nature and surroundings where all living beings co-exist. Harming the environment will in turn harm all living and non-living things alike. One of the major concerns of environment pollution is ...
    • Automated fabric color prediction 

      Muhtashima, Fawzia; Maksurah, Fawzia (Brac University, 2023-05)
      "This paper focuses on addressing some challenges faced by colorists and explores various approaches to predict fabric color changes after dyeing processes. It empha- sizes the importance of color prediction in the textile ...
    • Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh 

      Biswas, Sunanda; Sarkar, Spandan; Islam, MD. Manazir (Brac University, 2021-10)
      Nature and technology are two di erent subject matter with having much dissension between each. Only a few years back, technological growth looked like a threat to nature. However, the bene t of having huge computational ...
    • A machine learning approach to detect depression and anxiety using supervised learning 

      Ullas, Md Tahmidur Rahman; Begom, Mariyam; Ahmed, Anamika; Sultana, Raihan (BRAC University, 2019-04)
      Depression, a major depressive disorder and anxiety are common medical illness which cause several symptoms that a ect the way a person feels, thinks, and the way he/she acts. These disorders are not only hard to endure, ...
    • Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice 

      Bhattacharjee, Ruposri; Mamun, Kazi Andelib; Asif, Kazi Saad; Khan, Shaian (Brac University, 2021-09)
      Agriculture has been the driving force of the Bangladesh economy. In the agricultural sector, farmers are largely incapable of using scientific technology to maximize crop yield and identify which crops can be grown in ...
    • Machine learning for stress prediction 

      Salehin, Sherajus; Mahmood, Syeda Tanjima; Ayon, Muhtasim Fuad; Rahman, Nafiur (Brac University, 2023-01)
      Emotional, psychological, and social well-being are all part of mental health. Stress, social anxiety, depression, and personality disorders are just a few of the elements that build up mental health issues that lead to ...
    • Prediction on large scale data using extreme gradient boosting 

      Sawon, Md.Tariq Hasan; Hosen, Md. Shazzed (BRAC University, 2016-08)
      This paper presents a use case of data mining for sales forecasting in retail demand and sales prediction. In particular, the Extreme Gradient Boosting algorithm is used to design a prediction model to accurately estimate ...
    • Supervising vehicle using pattern recognition 

      Lushan, Mihodi Hasan; Bhattacharjee, Manoshi (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. ...
    • Travel time prediction using machine learning and weather impact on traffic conditions 

      Deb, Bilash; Khan, Salehin Rahman; Khan, Ashikul Haque; Hasan, Khandker Tanvir (BRAC University, 2018)
      The growth of Intelligent Traffic System (ITS) have recently been quite fast and impressive. Analysis and prediction of network traffic has become a priority in day to day planning in social, economic and more widespread ...
    • 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, ...