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Now showing items 141-150 of 150
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
(Brac University, 2024-01)
Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized
by abnormal enhancement of the meninges following trauma, often observed
in medical imaging studies. Traumatic meningeal injuries result ...
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
(Brac University, 2024-01)
Cancer is a complex and highly invasive disease that forms due to the abnormal
growth of cells in any part of the body. A majority of cancers are unraveled and
treated by incorporating advanced technology. However, ovarian ...
Identifying hate speech of Bangla language text using natural language processing
(Brac University, 2024-01)
In this era of the internet, sharing information through social media has provided
significant benefits to humans. People can easily access and observe others’ lifestyles
and work, as well as make comments or share ...
Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
(Brac University, 2024-01)
Ocular toxoplasmosis (OT) is often diagnosed by a specialist by the examination
of fundus images of the eye. While deep learning is commonly used to process
and identify diseases in medical images, ocular toxoplasmosis ...
Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
(Brac University, 2024-01)
"The intention of autonomous license plate (LP) detection is to find an LP spot in a
picture without any kind of human intervention. Automatic license plate detection
(ALPD) techniques have been developed; however, the ...
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
(Brac University, 2023)
"COVID-19 and viral Pneumonia are types of lung disease that are highly infectious, and have
a tendency of causing an outbreak, that then puts stress on the healthcare sector. When the
COVID-19 pandemic first began there ...
Detection of handwritten text using convolutional neural network
(Brac University, 2019-04)
Machine replication of human functions, like reading, is an ancient dream. However,
over the last five decades, machine reading has grown from a dream to reality. We
have tried to make it more obvious through a hand ...
Empowering mobile network planning through deep learning: a path to democratization
(Brac University, 2023-09)
In the realm of cellular network internet data traffic assessment, the imperative task
of forecasting and comprehending traffic patterns assumes pivotal significance for
the effective management of network-designed Quality ...
A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
(Brac University, 2023-09)
Predicting and understanding traffic patterns have become important objectives for
maintaining the Quality of Service (QoS) standard in network management. This
change stems from analyzing the data usage on cellular ...
An android application to predict human activity using a deep learning LSTM model
(Brac University, 2023)
The machine learning approach to estimate human activity using smartphone sensor
data is challenging. In this project, the HAR approach is conducted based on the
LSTM model and can recognize six different behaviors, i.e., ...