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Now showing items 11-20 of 35
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
(Brac University, 2023-01)
Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ...
Autism detection based on MRI images using Deep Learning
(Brac University, 2023-01)
Autism spectrum disorder (ASD) is a neuro dysfunction or neurodevelopmental
disorder. This causes a patient to have trouble with social interaction which causes
social instability. It also causes speech problems or ...
Extracting information from social media platform for early detection of depression among individuals
(Brac University, 2023-05)
In our world, 3.8% of the total population is suffering from depression and it is the
fourth major cause of death in 15-29 year olds. It is estimated that more than 75%
of people suffering from it in low and middle income ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
A system to prevent social violence using convolutional neural network
(Brac University, 2023-01)
Most women face violence in public and at home, including rape, physical and emo tional abuse, mocking, and harassment. A social violence support system might
allow people to seek aid from their friends, or relatives, or ...
Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
(Brac University, 2023-06)
One of the known eye conditions that affect human retinal blood vessels is diabetic
retinopathy (DR). People with diabetes are typically at significantly increased risk
for this. The blood vessels in the retina are damaged ...
Obscure face recognition using deep neural networks
(Brac University, 2023-06)
One of the most effective biometric tools for securing diverse systems is facial recog-
nition technology. Traditional security mechanisms like PINs, passwords, and fin-
gerprints have shown to be less effective and ...
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)
In the innovative era, the problem of recognizing undesirable objects and individuals
on conveyor belts is addressed by various architectural or algorithmic approaches.
Conveyor belts are those by which things go in a ...
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)
Nowadays, research on many diseases such as cancer has been ongoing to determine
how to reduce and minimise the effect. There are many characteristics of cancer that
can be identified by their consistent cell proliferation ...
An efficient face recognition model using multiple angular images and deep neural network architecture
(Brac University, 2023-01)
Face surface information in three dimensions is one of the promising biometric
modality that can improve the identification and increase the accuracy of verification
of face recognition systems in challenging situations.This ...