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A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
(Brac University, 2021-10)
Depression and mental health issues (stress, nervousness, panic attacks, anxiety
attacks etc.) are nowadays a major issue in the whole world. It is a common cause
of mental illness that has been linked to an increased ...
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 ...
X-Ray classification to detect COVID-19 using ensemble model
(Brac University, 2021-06)
Diagnosis with X-Rays and other forms of medical images has soared to new heights
as an alternative visual Covid infection detector. Radiographic images, primarily
CT scans and X-Rays images play massive roles in assisting ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Integration of handcrafted and deep neural features for Melanoma classification
(Brac University, 2021-09)
Deep neural networks (DNNs) are widely utilized to automate medical image in-
terpretation in many forms of cancer diagnosis and to support medical specialists
with fast data processing. Although man-made characteristics ...
Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
(Brac University, 2021-09)
Alzheimer’s Disease (AD) is a neurological condition where the decline of brain
cells causes acute memory loss and severe loss in cognitive functionalities. Various
Neuroimaging techniques have been developed to diagnose ...
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)
Prostate cancer is a ubiquitous form of cancer detected among men all over the
world. It is currently the second leading cause of cancer death worldwide among
men. Research shows that about 11% of men worldwide are ...
Towards solving perception based autonomous driving assistant system
(Brac University, 2021-09)
This thesis scrutinizes the problem of perception in the self-driving car system. Selfdriving
car is the face of the future and the decade’s research focus. Tech giants
like Google, Uber, Tesla, Commai, Intel MobilEye ...
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 ...