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Now showing items 21-30 of 71
Prediction of coronary heart diseases using supervised machine learning algorithms
(Brac University, 2022-05)
Cardiovascular disease is a leading cause of death worldwide. According to the Centers
for Disease Control and Prevention, one person dies from heart disease every 36
seconds in the United States. In 2019, an estimated ...
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 ...
Predicting climate induced floods using machine learning
(Brac University, 2022-01)
Climate change has been causing devastation on the economy of the country and the
world as a whole. The study aims to determine how climate change would impact
the frequency and severity of one of the major natural ...
Multimodal human detection in disaster situations using deep learning & artificial intelligence
(Brac University, 2022-09)
Mankind has faced natural calamities for survival since the very beginning of
human civilization. Even after 65 million years, mankind is still figuring out ways to
face natural calamities and survive its post-consequences ...
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 ...
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 ...
Detecting fake news on Covid-19 using machine learning algorithms
(Brac University, 2022-05-29)
The expansion of the Internet and swift adoption of social media platforms such as Facebook, Twitter, Instagram, Reddit, etc., has seen news and information publicized in such a way that has never been perceived in human ...
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)
The world stood still during the massive breakout of the Covid-19 worldwide. This
massive outbreak of this contagious disease was occurred by being airborne. Not
only COVID but also there are many other contagious disease ...
A GAN-based federated learning architecture for data augmentation of medical images
(Brac University, 2022-09)
n the medical industry, the availability of precise data limits the scope of deep learn ing applications. Institutional norms restrict hospitals and research facilities owing
to privacy concerns. Therefore, data collection ...
Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
(Brac University, 2022-01)
Nowadays, the number of interconnected devices (IoT) is increasing dramatically.
This expansion poses new security problems for network operators, IoT service
providers, and users. Security measures implemented on IoT ...