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Now showing items 11-20 of 39
Cardiovascular disease prediction model using Machine Learning Algorithm
(Brac University, 2022-09)
This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in
order to better understand them and develop new and better ...
Flood prediction using machine learning models
(Brac University, 2022-01)
Floods are one of nature’s most catastrophic calamities which cause irreversible and
immense damage to human life, agriculture, infrastructure and socio-economic system.
Floods are one of Bangladesh’s most common natural ...
Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm
(Brac University, 2022-09-28)
Process scheduling is an integral part of operating systems. The most widely used
scheduling algorithm in operating systems is round-robin (RR), but the average
waiting time in RR is often quite long. The purpose of this ...
Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
(Brac University, 2022-05)
Autonomous vehicles [AVs] are the future of transportation and they are likely to
bring countless benefits compared to human-operated driving. However, there are
still a lot of advances yet to be made before these vehicles ...
Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)
Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography
(CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to
diagnose a variety of disorders, including brain disease, whole-body ...
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)
Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
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 ...
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 ...
Real time performance analysis on DDoS attack detection using machine learning
(Brac University, 2020-04)
In recent years, Distributed Denial of service (DDoS) attacks have led to a tremendous
financial loss in some industries and governments. Such as banks, universities,
news and media publications, financial services, ...
Generation of realistic images from human drawn sketches using deep learning
(Brac University, 2022-01)
Processing sketches to produce realistic images is an intriguing idea in the world
of emerging Artificial Intelligence. We present a Generative Adversarial Network
(GAN) based methodology that creates satisfactory images ...