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Now showing items 11-16 of 16
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 ...
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)
Skin cancer have been the primary focus of this study, as they are one of the most
deadly diseases if not diagnosed and treated early. The study will make it possible
for computer science and medical science to work ...
Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
(BRAC University, 2018)
The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...
Pneumonia Disease detection using the convolutional neural network
(Brac University, 2023-01)
A bacterial illness called pneumonia causes inflammation in the air passages with one
or even both lungs. The disease can range from mild to life-threatening. Diagnosing
the disease at an earlier stage is crucial for the ...
Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
(Brac University, 2024-01)
Classifying retinal diseases with a higher accuracy rate is one of the most important
means in the medical field. In the case of image classification, finding a dataset
becomes a significant challenge for such cases. As ...
Real time dynamic facial recognition of subject at motion using angular image
(Brac University, 2024-01)
In the developing world keeping track of violations or implementing a secured environment
has become crucial. In order to address such issues dynamic facial recognition
could be developed in such a way that it can ...