Now showing items 7-26 of 1258

    • Abandoned object detection with video surveillance 

      Aurangzeb, Chowdhury Farsad; Shanchary, Israt Jahan; Tasdid, Salman (BRAC University, 2014)
      We are presenting a new framework for smart threat detection with the help of video surveillance which captures live streaming from the camera and determine if any abandoned object has been set up. It then raises an alarm ...
    • Abnormal behavior detection of human by video surveillance system 

      Amin, Anisul; Anzum, Mohammad Farhan; Mondol, Mark Himel (BRAC University, 2014-12)
      In recent years, the number of surveillance cameras installed to monitor private and public spaces and areas has increased dramatically. There is an increasing demand for smarter video surveillance of public and private ...
    • Accelerating ant colony optimization by using local search 

      Tabassum, Nabila; Haque, Maruful (BRAC University, 2015-08)
      Optimization is very important fact in terms of taking decision in mathematics, statistics, computer science and real life problem solving or decision making application. Many different optimization techniques have been ...
    • Accelerating ggplot2 based projection on r-map using NVIDIA GPU 

      Islam, Md. Zahidul; Elahi, Md. Tausif (BRAC University, 8/17/2016)
      With an increasing amount of user and data demands for fast data processing, the optimization of database operations continues to be a challenging work. A common optimization technique is to leverage parallel hardware ...
    • Access to national agricultural commodity price data 

      Iqbal, Fahim; Amin, Arman Mursalin (BRAC University, 2005-12)
      Bangladesh bureau of statistics provides statistical data, publications and reports based on survey and analysis of data. They provide a format of statistical data to the user. The main objective of BBS is to make ...
    • Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm 

      Ahmed, Istear; Karmakar, Tushar; Anadi, Iffat Sumaita; Azad, MD.Shahriar; Sharif, Faiza Ibnat (Brac University, 2021-09)
      The students are at a loss when it comes to choosing their major or field of work due to inefficient school system and decision making of the parents. This problem can be resolved to some extent by using classifiers. ...
    • Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER) 

      Hossain, Arafat; Chakraborty, Akash; Syara, Syeda Rifa; Rahman, Saadman; Tanmoy, Fahad Muntasir (Brac University, 2022-06-05)
      There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...
    • An active-learning based training-schedule for biomedical image segmentation on deep neural networks 

      Hassan, Mehadi; Das, Shemonto; Dipu, Shoaib Ahmed (Brac University, 2021-01)
      Biomedical image classification and segmentation are quite important tasks for medical diagnosis. Many Deep Neural Networks (U-Net, V-Net, etc) have been used in recent years to segment biomedical images. For classification ...
    • Adoption and up gradation of CMMI : prospect of software industry of Bangladesh 

      Haque, Samirul (BRAC University, 2005-05)
      Software industry of Bangladesh is still a way beyond the international standard and recognition because of its infrastructure. To consolidate its structural integrity, the constituent firms should be encouraged for ...
    • An advanced data fabric architecture leveraging homomorphic encryption and federated learning 

      Rieyan, Sakib Anwar; News, Md. Raisul Kabir; Rahman, A.B.M. Muntasir; Khan, Sadia Afrin; Zaarif, Sultan Tasneem Jawad (Brac University, 2023-03)
      In this study, we present a novel approach for securely analyzing medical images using federated learning and partially homomorphic encryption within a distributed data fabric architecture. Our approach allows multiple ...
    • Advanced health insurance system using smart contract of ethereum blockchain 

      Tushar, Mehedi Hasan; Abdullah, Sifat; Shad, Aar Rafi Shahriar; Hyee, MD. Hisam Bin; Hesham, Sheblee Mohammad (Brac University, 2023-05)
      Every year, more healthcare insurance frauds are discovered, which is hugely worrying for society. Healthcare insurance fraud takes many forms, including fabricating data, obfuscating third-party responsibility, misrepresenting ...
    • An advanced healthcare android application with machine learning 

      Ridwan, Naeeb MD; Omi, Fuad Tanvir; Ahamed, Protiva (BRAC University, 2018)
      In this thesis, an advanced healthcare application on android platform is proposed and demonstrated using machine learning techniques. This advance healthcare application allows the user to conduct critical prognosis based ...
    • An advanced hospital rating system using machine learning and natural language processing 

      Tamjid, Ali Asgar; Galpo, Gaurab Paul; Urmi, Khadija Begum; Chitto, Fatema Sadeque; Annafi, Sadia (Brac University, 2023-05)
      Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately, there is no reliable metric or resource available online to determine which hospital is better. Patients and their peers often find it ...
    • Advanced portfolio management using markowitz portfolio theory 

      Kundu, Souvik; Khan, Mustaqim; Rahman, Faisal (Brac University, 2019-12)
      A portfolio is a collection of stocks made from different companies, the number of stocks can range from 10 to 30 depending on expected return by the investors. Portfolio management is finding the right group of stocks ...
    • Advanced task scheduling algorithm for IoT Based FOG communication model 

      Mohammed, Zaber; Chowdhury, Riham; Rozario, Stanley Dip; Sakin, Sayed Bin Amirul (Brac University, 2020-04)
      Internet of Things (IoT) is hugely dependent on Cloud Computing. Cloud comput- ing uses a high degree of polymerization calculation mode and so it cannot ensure e ective use of resources like computing, storage, etc. FOG ...
    • Affective social anthropomorphic intelligent system 

      Mamun, Md. Adyelullahil; Abdullah, Hasnat Md. (Brac University, 2021-01)
      At present, intelligent virtual assistants (IVA) are not only about delivering the functionalities and increasing their performances; they also need a socially interactive personality. As human conversational styles are ...
    • Agricultural yield and profit prediction using data analysis techniques 

      Hassan, Fazal Mahmud; Zakir, Shamma Binta; Binta, Anik Shamma; Hossain, Syed Maruf (2018-12)
      This research proposes a model that will enable us to predict the agricultural outcome of a country. The prediction will include the agricultural yield for the upcoming years as well as predict the profit margin for ...
    • Air pollution monitoring system for smart city 

      Khan, Md. Hasib Bin Hossain; Rahman, Raihan Ur; Arafat, Md. Yeasin; Jony, M. A. Nayem (BRAC Univeristy, 2018)
      Where pollution has become a major problem around the world, air pollution is the most dangerous, shocking and severe pollution among other pollutions e.g. water pollution, soil pollution, noise pollution, light pollution, ...
    • Air pollution monitoring system based on air pollutant index(API) and geographic information system(GIS)" 

      Auvee, Md. Samiul Bashar (BRAC University, 2019-05)
      Air pollution is the most alarming fact in modern world. Air pollution monitoring system is common research eld with tremendous new information which can be used to nd out the main air pollutants. In this research the ...
    • An alternate to hawk eye using the graphics processing unit 

      Ehsan, Radin Ahmed (BRAC University, 4/28/2013)
      The more powerful and advanced our processing units become our hunger for more computation power increases. While we are pushing the Central Processing Unit (CPU) to its last limit in the hope to get more computational ...