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Classification of different magnetic structures from image data using deep neural networks
(Brac University, 2021-09)
We apply machine learning, specially deep neural network approaches, to train
a new model that can perform an effective classification of ferromagnetic, anti ferromagnetic, skyrmion, anti-skyrmion and spin spiral ...
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)
In every 100 years, there has been a pandemic all around the world. The globe faced
Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively.
Coronavirus, commonly known as Covid-19, is currently ...
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
(Brac University, 2021-01)
Color vision approach is a riveting field of technology crucial in pioneering innovations like autonomous vehicles, autonomous drone deliveries, automated stores,
robots, infrastructure and surveillance monitoring programs ...
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)
The world is going through a severe viral pandemic which is caused by COVID-
19. People infected with this virus, experience severe respiratory illness. The virus
spreads through particles of saliva or droplets from an ...
An Efficient deep learning approach to detect Brain Tumor using MRI images
(Brac University, 2021-10)
A brain tumor is the development of mutated cells in the human brain. Many di er-
ent types of brain tumors exist nowadays. According to researchers and physicians,
some brain tumors are non-cancerous while some are ...
U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images
(Brac University, 2022-05)
There are various biometric parameters of the fetus that need to be evaluated to
monitor prenatal diagnosis during pregnancy. Biometric parameters such as head
circumference, abdominal circumference, cortical volume, the ...