Browsing by Subject "Convolutional neural network (CNN)"
Now showing items 1-10 of 10
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Brain hemorrhage detection using hybrid machine learning algorithm
(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
(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
(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
(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
(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
(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
(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, ... -
MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
(Brac University, 2024-01)Just as the digital transformation of everything in this ‘Information Age’ has acted substantially to mitigate conventional crimes to a degree, the rate of cyber crime has parallelly elevated alarmingly. As malware has ... -
ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
(Brac University, 2024-01)microbial ecosystems. This has led to their increased utilization in several research areas, such as bacterial genome engineering, phage therapy, disease diagnostics, and viral host identification. The structure of phages ... -
Silent voice: harnessing deep learning for lip-reading in Bangla
(Brac University, 2024-01)Understanding speech just through lip movement is known as lipreading. It is a crucial component of interpersonal interactions. The majority of the previous initiatives attempted to address the English lipreading issue. ...
