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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 ...
Violent activity detection through surveillance camera using deep learning
(Brac University, 2023-01)
Surveillance camera systems have been implemented in most parts of the world
to combat the rising rate of criminal activities. In the hopes of making public
places safer for everyone, computer vision has also aided in ...
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)
Road accidents are one of the major causes of fateful deaths in Bangladesh. In most
cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking
the major task is to decide whether the overtaking ...
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 ...
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...
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 ...
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)
Internet-based resources are utilized by the vast majority of individuals today. The
news published on websites and shared on social media platforms are examples of
such resources. Due to the increasing number of content ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
Smart surveillance system for identifying bikers without helmets using deep learning
(Brac University, 2019-08)
Modern world is progressing quickly along with technology and one of the major
sectors is transportation technology. Day by day the number of people are increasing
and the number of vehicles are increasing too. As a ...
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 ...