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Biometric retina identification using artificial approach
(Brac University, 2022-05)
In this paper, we considered recognizing 2D retina pictures with a Convolutional
Neural Network (CNN) for greater accuracy since retina-based identification is the
most secure way of establishing identity and identifying ...
Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)
Predictive analytics has received a lot of attention in recent years due to advances
in supporting technology, particularly in the areas of big data and machine learning.
In recent years, the uses of disease prediction ...
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 ...
Deepfake detection using neural networks
(Brac University, 2021-09)
Deepfake is a sort of arti cial intelligence that forge original image or video and
create persuading images, audio and video hoaxes by utilizing two contending AI
algorithms-the generator and discriminator that form a ...
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)
In recent years, advancement in the realm of machine learning has introduced a
feature known as Deepfake pictures, which allows users to substitute a genuine face
with a fake one that seems real. As a result, distinguishing ...
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 ...
Exploring Alzheimer's disease prediction with XAI in various neural network models
(Brac University, 2021-10)
Using a number of Neural Network Models, we attempt to explore and explain the
prediction of Alzheimer's in patients in various stages of the disease, using MRI
imaging data. Alzheimer's disease(AD) often described as ...