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Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
(Brac University, 2021-01)
Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ...
Content based image search in openstack swift
(Brac University, 2021-09)
The OpenStack Object Store, also known as Swift, is a cloud storage software. Swift
is optimized for durability, availability; also concurrency across the entire data set.
However, Swift does not have a proper technique ...
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 ...
Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
(Brac University, 2022-05)
Given the growing and massive shock to the hotel industry, the coronavirus (COVID-
19) outbreak has generated an unexpected problem. The hotel industry is currently
facing a big obstacle during the COVID period, where ...
A comparative study of lung cancer prediction using deep learning
(Brac University, 2022-09)
At the point when cells in the body develop out of control, this is alluded to as
cancerous development. Lung cancer is the term used to depict cancer that starts
in the lungs. At first in the field, classifier-based ...
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)
The neurodegenerative Alzheimer's Disease is the most widely recognized cause of
`Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless,
there is still no conclusive test for distinguishing ...
Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
(Brac University, 2022-01)
Bangladesh has been suffering a severe traffic congestion issue ever since it has been
on a high paced development roadmap. Researches regarding solving such traffic
issue has been in the talks but has never reached a ...
Bangali Handwritten characters classification using Deep Convolutional Neural Network
(Brac University, 2022-05)
Handwritten letter classification of any given language has the potential to be used
in various fields such as literature, educational institutions, digitization of govern ment records etc. Bengali language with its complex ...
Performance comparison of CNN architectures for detecting Malaria diseases
(Brac University, 2020-04)
World is facing an acute health crisis for the disease named malaria caused by the bite
of female mosquitoes of parasite named genus plasmodium. From different research
of all time it is clear that this disease is not ...