Now showing items 1454-1473 of 1541

    • Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms 

      Farhan, Rafid; Rahman, Ninad Abdur; Ahsan, Syeda Sara Ummy (Brac University, 2022-01)
      Due to a number of reasons, marine ecosystems change with certain species of fish disappearing while novel species of fishes become a new staple within a given ecosystem, e.g., a lake, river, etc. Monitoring these changes ...
    • Towards devising an efficient VQA in the Bengali Language 

      Islam, S M Shahriar; Auntor, Riyad Ahsan; Islam, Minhajul; Chowdhury, Tahmin Haider; Hossain Anik, Mohammad Yousuf (Brac University, 2021-12)
      This paper aims to provide insight into how Visual question answering might work on Bangla datasets versus English datasets. Several studies have been conducted on deep learning methods applied to Bangla datasets up to ...
    • Towards santali linguistic inclusion: building the first Santali-to-English translation model using mT5 transformer and data augmentation 

      Billah, Syed Mohammed Mostaque; Subarna, Ateya Ahmed; Sarna, Sudipta Nandi; Wasit, Ahmad Shawkat; Shawkat, Ahmad (Brac University, 2023-09)
      Around seven million individuals in India, Bangladesh, Bhutan, and Nepal speak Santali, positioning it as nearly the third most commonly used Austroasiatic language. Despite its prominence among the Austroasiatic language ...
    • 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 ...
    • Traffic behavior and performance in VOIP 

      Saha, Ashis Kumar (BRAC University, 2008-04)
      Voice over Internet protocol - VoIP, or IP telephony is a technology by which the routing of voice communications are done through Internet or any other Internet Protocol (IP) based networks. Here the voice data is transmitted ...
    • Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics 

      Hossain, Md. Shahriyar; Bhuiyan, Md. Imtiaz; Dulali, Marjahan Akther (Brac University, 2022-01)
      Bangladesh has been suffering a severe traffic congestion issue ever since it has been on a high paced development roadmap. Researches regarding solving such traffic issue has been in the talks but has never reached a ...
    • Traffic density estimation and flow control for video surveillance system 

      Paul, Partho Sharothi (BRAC University, 2014)
      Video monitoring and surveillance have been widely used in traffic surveillance system. It is important to know the road traffic density in predefined traffic videos especially in mega cities like Dhaka for signal control ...
    • Traffic information system 

      Ali, Tanjima (BRAC University, 2010-04)
      Traffic Information System will assist travelers with planning, perception, analysis and decision making to improve the convenience, safety and efficiency of travel . It will provide the traveler three facilities: route ...
    • Traffic sign recognition using deep learning 

      Amir, Afia Binte; Nisa, Umme Habiba; Shafi, Ali Ashab; Reza, Md. Rafid-Ur (Brac University, 2019-12)
      Traffic sign recognition plays a significant role in modern automated driver assisting systems and showing information about safety measures. It is a technology that allows users to recognize traffic signs in real-time, ...
    • Training free non-intrusive load monitoring of electronic appliances battery charging with low sampling rate 

      Nahar, Shamsun; Anjum, SM. Navid (BRAC University, 2016-04)
      Non-intrusive load monitoring (NILM) is a convenient method to determine the amount of energy consumed by individual electrical appliances of our household and operate them by analyzing the composite load measured directly ...
    • Transfer learning based industrial steel plates fault diagnosis using industrial fault signals 

      Mizan, Mubasshira; Nilo, Laila Sumiya Khan; Tuli, Mosrika Momin (Brac University, 2021-09)
      Transfer learning (TL) has shown its great advantage to solve small-training-sample issues utilizing information learned from existing large data with deep learning tech- niques. Transfer learning has been e ectively ...
    • Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples 

      Zahir, Shafkat; Roy, Prateeti Saha; Ridita, Humaira Tasnim; Hossain, Tamanna (Brac University, 2023-01)
      With the dynamic advancement of internet services over the past decade, chatbots, also recognized as conversational agents, have risen to prominence. They are signif icantly acclimated to develop a useful digital expert ...
    • Transport information system 

      Anwar, Shoaibe; Chowdhury, Dider Morshed (BRAC University, 2007-05)
      In this paper, we present a GIS Based traveling information systems on a variety of transportation modes, Schedule status and transportation related information in the context of the available media of Bangladesh. The ...
    • Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction 

      Uddin, Mohammad Sakib; Nidhi, Nusrat Jahan; Yesmin, Sadia; Roy, Proloy Kanti (Brac University, 2024-01)
      Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized by abnormal enhancement of the meninges following trauma, often observed in medical imaging studies. Traumatic meningeal injuries result ...
    • Travel and Tourism Management System Bangladesh (Beriye Pori) 

      Zubairy, Mahmudur Rahman (Brac University, 2022-09)
      As tourism is becoming more and more popular, the requirements of the tourists are getting more complicated. Now, as the traditional travel websites with basic information or a pricing list of hotels, transportation ...
    • 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 ...
    • Traffic congestion reduction in SUMO using reinforcement learning method 

      Mouly, Radia Rahman; Rini, Puja Roy; Ethic, Ahsan Habib; Ayon, Mahdi Islam (Brac University, 2021-02)
      The exemplary traffic controlling system is getting helpless because of urbanization and a consistently expanding populace. Living in a cutting-edge time of science and innovation, an advanced arrangement is a beggar ...
    • Tri-modal ensemble for enhanced Bangla sign language recognition 

      Shams, Khan Abrar; Reaz, Md. Rafid; Islam, Sanjida; Rafi, Mohammad Ryan Ur (Brac University, 2023-09)
      Sign language is the most common method of communication for people with disabling hearing loss. Bangladesh, where BdSL is prominently used among the disabling people, finds communicating with the general mass challenging. ...
    • Tuberculosis diagnosis through image processing 

      Kamal, Nahid; Islam, Subrina; Asad, Al Faysal Bin; Khatun, Sumaiya (BRAC University, 2017)
      Tuberculosis is most common contagious disease. Nowadays, millions of human beings of the world are suffering from it. We will use the most used worldwide method Ziehl-Neelsen stain (ZN-stain) to detect Tuberculosis which ...
    • Tuberculosis diagnosis through image processing 

      Kamal, Nahid; Islam, Subrina; Asad, Al Faysal Bin; Khatun, Sumaiya (BRAC University, 2017)
      Tuberculosis is most common contagious disease. Nowadays, millions of human beings of the world are suffering from it. We will use the most used worldwide method Ziehl-Neelsen stain (ZN-stain) to detect Tuberculosis which ...