Browsing by Author "Rasel, Annajiat Alim"

Now showing items 1-20 of 40

    • Analysis of financial data on the time series using data from the stock market 

      Shachcha, Ifad Bhuiyan; Siam, Muhammad Ziaus (Brac University, 2022-05)
      Predicting financial data is really important for investors Often times investors do not have a proper tool to properly assess the market and forecast their predictions. Furthermore, not only investors in modern day ...

    • Analysis of uncertainty in different neural network structures using Monte Carlo Dropout 

      Islam, Md. Farhadul; Zabeen, Sarah; Rahman, Fardin Bin; Islam, Md. Azharul; Kibria, Fahmid Bin (Brac University, 2023-01)
      Deep learning technologies developed at an exponential rate throughout the years. Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Networks (INNs), there are several neural network (NN) architectures ...

    • Analysis of uncertainty in different neural network structures using monte carlo dropout 

      Islam, Md. Farhadul; Zabeen, Sarah; Bin Rahman, Fardin; Islam, Md. Azharul; Bin Kibria, Fahmid (Brac University, 2023-01)
      Deep learning technologies developed at an exponential rate throughout the years. Starting from Convolutional Neural Networks (CNNs) to Involutional Neural Net works (INNs), there are several neural network (NN) architectures ...

    • Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness 

      Sabit, Ahmed Bin; Ahsan, Asif; Tasnim, Zarin (Brac University, 2021-06)
      In the context of the crime scenario in Bangladesh, people face enormous crime situations which can be eradicated by applying some technological solution. For this a research work needs to be conducted by news segmentation ...

    • Automated essay grading with recommendation 

      Arafat, Arshad; Raihanuzzaman, Mohammed (BRAC University, 4/21/2016)
      In our thesis we have worked to analyze text essays then predict the score accordingly and also recommend similar essays as well as other noticeable required changes to the readers who want to improve their essay writing ...

    • Automatic helmet-less biker detection using deep learning 

      Ratul, Md. Ibrahim; Mohon, Abdul Karim Ibne; Sarker, Md. Reduan (Brac University, 2023-09)
      When riders don’t wear a helmet while driving a motorcycle, they aren’t paying attention, leading to crashes and more deaths. The researchers utilized multiple deep-learning models to identify motorcyclists without ...

    • Automatic subtitle generation for Bengali multimedia using deep learning 

      Rhythm, Ehsanur Rahman; Arnob, Shafakat Sowroar; Shuvo, Rajvir Ahmed (Brac University, 2023-09)
      For audio or video material to be more inclusive and accessible, automatic subtitle generation is essential. Nevertheless, implementing this technology into Bengali presents significant challenges due to scarce resources ...

    • Bang-lish sentiment classification using deep learning 

      Saleheen, Abrar; Siam, Saleh Ahmed; Akter, Sanjeda; Ghosh, Akash; Ahona, Adiba Anbar (Brac University, 2023-01)
      E-commerce websites and social media platforms have become integral parts of peo ple’s social lives. Through posts, comments, and reviews on social media and online shopping websites, people can share their ideas. ...

    • Bangla grammar and spelling check using machine learning 

      Ahmed, Foysal; Khan, Md Shahriar; Arafin, MD Emon; Al Abir, Abdullah; Begum, Mumtahina (Brac University, 2023-01)
      Bangla, or Bengali, is one of the world’s most spoken languages, with hundreds of millions of native speakers worldwide. Thousands of books are written in the Bangla language every year, and millions of people register ...

    • Building Security Operations Center (SOC) using open source technologies SIEM for industries 

      Rabby, Zahidul Haque (Brac University, 2022-09)
      In this day of rapidly expanding technology, large industries, enterprises, and star tups must safeguard sensitive information about their clients, employees, internal processes, and more. However, with the growth of ...

    • A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer 

      Nawrin, Ishrat Nur; Trina, Tonusree Talukder (Brac University, 2023-05)
      Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ...

    • A comparative study of lung cancer prediction using deep learning 

      Mugdho, Aka Mohammad; Bhuiyan, Md. Jawad Hossain; Rafin, Tawsif Mustasin; Amit, Adib Muhammad (Brac University, 2022-09)
      At the point when cells in the body develop out of control, this is alluded to as cancerous development. Lung cancer is the term used to depict cancer that starts in the lungs. At first in the field, classifier-based ...

    • Computer assisted learning dictionary for rural students 

      Rasel, Annajiat Alim (BRAC Univeristy, 2018-05)
      It is observed that rural students (the target demography) are falling far behind in the countrywide standard tests like SSC and HSC. As high as up to 80% of students from rural areas are failing in national English ...

    • A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium 

      Ahmed, Istiak; Prima, Shanzida Binta Akram; Baptee, Tahsin Anzum; Afroz, Mehrin; Shanto, Ariful Islam (Brac University, 2023-04)
      Nowadays, social networking sites like Facebook and Twitter have become an sig- nificant impact on our lives . We use such sites to remain in touch with one another and as a source of news to stay informed about current ...

    • Customer segmentation using K-means 

      Mahdee, Nafis; Shourav, Ishrak Rahman; Tabassum, Tasneem; Nur, Eman; Md Amir, Hamza Howlader (Brac University, 2022-05)
      Sales Maximization is a critical aspect of operating any business. Our thesis aims to help businesses to probe deep into their market reach as we group customers us ing the customer segmentation approach. Our dataset is ...

    • Customer service bot for a travel agency using natural language processing 

      Paromita, Purobi; Tabassum, Tanisha; Das, Puspita; Fihad, Nobiul Islam (Brac University, 2024-06)
      Traveling isn’t new in the human race. Modern humans began migrating from Africa 70,000 to 50,000 years earlier. Again, modern tourism started in the 17th century in Western Europe and till today, humans didn’t stop and ...

    • Cyber threats and scams in FinTech organizations: a brief overview of financial fraud cases, future challenges, and recommended solutions in Bangladesh 

      Hossain, Md. Jafrin; Rifat, Rejuan Haque; Mugdho, Mahadi Hasan; Jahan, Mohona (Brac University, 2022-06-05)
      The idea of financial systems has changed with the touch of applications based on information technology and came up with a new terminology called ‘FinTech’ (Financial Technology). With the rising technology, Fintech has ...

    • A deep learning application for real-time debris detection: underwater environment 

      Sinthia, Afsana Kabir (Brac University, 2023-12)
      Recognizing the significance of accurately measuring and removing underwater waste is vital for safeguarding marine ecosystems and the environment. Measuring underwater waste is challenging due to factors like light ...

    • Detecting fake news on Covid-19 using machine learning algorithms 

      Hossain, Farhan; Hasan, Md Zahid; Hasan, Sourov; Alam, Mobassherul; Shahana, Afrin (Brac University, 2022-05-29)
      The expansion of the Internet and swift adoption of social media platforms such as Facebook, Twitter, Instagram, Reddit, etc., has seen news and information publicized in such a way that has never been perceived in human ...

    • Enhancing optical character recognition capabilities for Bengali script: the development and evaluation of Bengali CharNet 

      Kamal, Rizvy Ahmed (Brac University, 2023)
      Optical Character Recognition (OCR) technology has made an excellent stride in recent years, yet the accurate digitization of Bengali handwritten script remains a formidable challenge. This project introduces ’Bengali ...