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Deep learning-based waste classification system for efficient waste management
(Brac University, 2021-10)
A smart waste management system plays a vital role in building cleanliness, hygienic,
and healthier living for the inhabitants of a city. However, the inherent problems
of the waste management system are still a matter ...
Computer-generated artificial life model: algorithm for hunters hunting preys
(Brac University, 2021)
This thesis simulates the behavior of predators and preys observed between a pack
of wolves and a deer herd during a hunting scenario. We use the Boids flocking
algorithm, an artificial life model developed by Craig ...
Voice impersonation detection using LSTM based RNN and explainable AI
(Brac University, 2021-10)
The advancing eld of arti cial synthetic media introduced deepfakes which made
it easier to synthesize a person's voice, identical to their original voice mechanically
to use it for negative means. People's voices are ...
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)
Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography
(CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to
diagnose a variety of disorders, including brain disease, whole-body ...
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)
Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)
The neurodegenerative Alzheimer's Disease is the most widely recognized cause of
`Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless,
there is still no conclusive test for distinguishing ...
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 ...
Predicting regional accents of Bengali language using deep learning
(Brac University, 2021-09)
Accent is a huge challenge in communication for all languages. Different people
who speak the same language might pronounce the same word differently. In a
conversation, if two people are from different regions and they ...
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 ...