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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 ...
Real time action recognition from video footage
(Brac University, 2021)
Crime rate is increasing proportionally with the increasing rate of the population.
The most prominent approach was to introduce Closed-Circuit Television (CCTV)
camera-based surveillance to tackle the issue. Video ...
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 ...
Quantum error correction using quantum convolutional neural network
(Brac University, 2021-06)
Quantum computing with its powerful attributes - entanglement and superposition, is revolutionizing modern computation. Moreover, quantum computation can
be applied to a wide range of real-world applications, including ...
Emotion detection using EEG signals
(Brac University, 2021-06)
Emotions play a vital role in how people feel, think and act which makes it worthwhile for analyzing human behavior. As the patterns of emotions and their reflections differ from person to person, their study needs to be ...
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 ...
Approaching transfer learning to identify correctly worn facial masks
(Brac University, 2021-06)
Climate change has made the outbreak of diseases, especially airborne and contagious diseases much more extreme. Therefore, wearing masks has become essential in protecting ourselves not only from very common airborne ...
Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI
(Brac University, 2021-06)
COVID-19 which is also none as Corona Virus Disease is rst discovered in a city
of China named Wuhan at December 2019 and it has been announced as a global
pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ...
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 ...