Browsing by Subject "Convolutional neural network (CNN)"

Now showing items 1-7 of 7

    • Brain hemorrhage detection using hybrid machine learning algorithm 

      Iqbal, Khondoker Nazia; Azad, Istinub; Emon, Md. Imdadul Haque; Amlan, Nibraj Safwan; Aporna, Amena Akter (Brac University, 2022-01)
      Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ...

    • Computer vision-based Bengali sign language to text generation 

      Tazalli, Tonjih; Liya, Sumaya Sadbeen; Aunshu, Zarin Anan; Hossain, Magfirah; Mehjabeen, Zareen (Brac University, 2022-01)
      In the whole world, around 7% of people have hearing and speech impairment problems. They use sign language as their communication method. People from various countries use a variety of sign languages. As an example, ...

    • Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data 

      Mahbub, Riasat; Azim, Muhammad Anwarul; Reza, Khondaker Masfiq; Mahee, Md Nafiz Ishtiaque; MD. Zahidul Islam Sanjid (Brac University, 2021-09)
      Alzheimer’s Disease (AD) is a neurological condition where the decline of brain cells causes acute memory loss and severe loss in cognitive functionalities. Various Neuroimaging techniques have been developed to diagnose ...

    • Efficient Spatio-temporal feature extraction for human action recognition 

      Ghosh, Dipon Kumar (Brac University, 2021-11)
      Human actuation recognition (HAR) has been performed using current deep learning (DL) algorithms using a variety of input formats, including video footage, optical flow, and even skeleton points, which may be acquired ...

    • Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet 

      Ishrak, Gazi Hasin; Mahmud, Zalish; Farabe, Md. Zami Al Zunaed; Tinni, Tahera Khanom (Brac University, 2022-01)
      The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can easily and smoothly stitch anyone into any digital media where they never took part in reality. The key components of deepfake are ...

    • Interpretable credit card fraud detection using deep learning leveraging XAI 

      Biswas, Joy; Tabfimuzzaman, Md.; Mridha, Abir Ahmed; Afroz, Tamanna; Samin, Ahnaf Tahmid (Brac University, 2022-09)
      Due to the internet's widespread accessibility, more and more businesses are bringing their offerings online. Besides, because of the growth of E-commerce websites, both individuals and businesses that deal in finances ...

    • Intracranial hemorrhage detection using CNN-LSTM fusion model 

      Ahmed, Kazi sabab; Shariar, Khandaker Sadab; Naim, Naimul Hasan; Hazari, MD. Nayimur Rahman (Brac University, 2022-05)
      Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue and the skull or within the brain tissue itself. It is life-threatening and needs immediate medical attention. As the first response, ...