Search
Now showing items 31-40 of 43
Intracranial hemorrhage detection using CNN-LSTM fusion model
(Brac University, 2022-05)
Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue
and the skull or within the brain tissue itself. It is life-threatening and needs immediate
medical attention. As the first response, ...
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)
Nowadays, research on many diseases such as cancer has been ongoing to determine
how to reduce and minimise the effect. There are many characteristics of cancer that
can be identified by their consistent cell proliferation ...
An efficient face recognition model using multiple angular images and deep neural network architecture
(Brac University, 2023-01)
Face surface information in three dimensions is one of the promising biometric
modality that can improve the identification and increase the accuracy of verification
of face recognition systems in challenging situations.This ...
Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
(Brac University, 2023-01)
The use of machine learning models has greatly enhanced the capability to rec ognize patterns and draw conclusions. However, due to their black-box nature, it
can be difficult to comprehend the factors that affect their ...
Detection of pneumonia from chest X-ray images using machine learning
(Brac University, 2023-05)
A bacterial infection is the cause of the lung condition known as pneumonia. An essential component of a successful treatment procedure is early diagnosis. Without early diagnosis, pneumonia can be severe or even can cause ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...
A federated learning approach for detecting Parkinson’s disease through privacy preserving by blockchain
(Brac University, 2022-05)
Parkinson’s disease is a degenerative ailment caused by the loss of nerve cells in
the brain region known as the Substantia Nigra, which governs movement. These
nerve cells die or deteriorate, rendering them unable to ...
Automated fabric color prediction
(Brac University, 2023-05)
"This paper focuses on addressing some challenges faced by colorists and explores
various approaches to predict fabric color changes after dyeing processes. It empha-
sizes the importance of color prediction in the textile ...
An efficient deep learning approach to classify white blood cells
(Brac University, 2023-09)
The human immune system’s white blood cells (WBCs) fight against infection and
prevent the body from potentially harmful substances. They consist of neutrophils,
eosinophils, basophils, monocytes, and lymphocytes, each ...
Brain tumor detection with convolutional neural network
(Brac University, 2023-09)
The brain is the command center of our nervous system, which enables thoughts,
memories, movements, and emotions. In other words, it is the most important organ
in the human body. The human brain is very vulnerable to ...