Now showing items 1-20 of 1465

    • 2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU 

      Raja, Sharif Ahmmad; Ratul, Aminur Rab; Niloy, Sakib Anjum (BRAC University, 4/20/2016)
      Texture feature is one of the most popular technique in image segmentation, classification, retrieval and many others. Now a days, among other ways of texture feature extraction, Gabor filtering has been widely used. Here, ...
    • 3D Brain image segmentation using 3D tiled convolution neural networks 

      Haque, Md Mahibul; Ria, Jobeda Khanam; Mannan, Fahad Al; Majumder, Sadman; Uddin, Md Reaz (Brac University, 2023-09)
      Gliomas are the primary brain tumors that are most commonly observed in adult patients and exhibit varying degrees of aggressiveness and prognosis. The accurate identification and diagnosis of Gliomas in surgical procedures ...
    • 3D character and overlay image movement by human body tracking using unity. 

      Azim, Ashraful (Brac University, 2020-04)
      Technology has made our life very easy and we have the touch of technology everywhere. By using technology, we are solving various difficult problems and making our life more convenient. In our daily life, we buy different ...
    • 3D fabrication of food through software implementation for patients of various diseases and dysphagia 

      Farha, Anika; Muhtadi, Mantaka; Morshed, Ramisa Ibnat (BRAC University, 2018-07)
      3D printing can be considered as a means of creating solid 3-dimensional objects using additive manufacturing with the aid of computer design software. With respect to time and newer technologies, 3D printing has advanced ...
    • 3D model generation of real-objects using depth and color information 

      Sakib, Alium Basir; Azam, Hasnat; Jui, Tonni Das; Akter, Fahima (BRAC University, 2018-04)
      We propose and demonstrate a method of generating 3D model using depth and color information of real-object using Microsoft Kinect sensor using our proposed pixel mapping algorithm. The primary idea of the method is to ...
    • 3D Visualization of 2D/360° image and navigation in virtual reality through motion processing via smart phone sensors 

      Aurini, Maliha Tasnim; Islam, Shitab Mushfiq-ul (BRAC University, 2018)
      The 360° images or regular 2D images look appealing in Virtual Reality yet they fail to represent depth and how the depth can be used to give an experience to the user from two dimensional images. We proposed an approach ...
    • 6LoWPAN based smart home architecture for the smart future 

      Hasan, Shah Muhammad Jannatul; Ali, Mohammad; Khan, Taufiqul Islam; Afrin, Farzana (Brac University, 2020-04)
      6LoWPAN is an emerging area of research. It helps to extend network architecture for WSN which allows end-to-end connectivity between a 6LoWPAN node and any IP devices of the network. To make a low power consumption mesh ...
    • 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 ...
    • Academic document verification using SSI and blockchain technology 

      Huda, Md. Isa Sayek (Brac University, 2023-09)
      Academic certificates are evidence of qualification for their recipients. Although academic data is regularly transmitted by institutes, the procedure of transferring and verifying this data is usually tiring and ...
    • 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 ...
    • Advance waterway transport system based on Internet of Things (IoT) 

      Miah, MD Imtiaj; Gope, Joy Chandra; Nath, Ananta Deb; Nain, A.K.M. Janaite; Mitu, Faria Nasir (Brac University, 2022-09)
      Nowadays the inland waterway transportation sector has grown significantly in recent years, offering a large possible contribution to environmentally friendly and cost-effective transportation to reduce congestion on the ...
    • 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 ...