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Now showing items 21-30 of 35
A comparative analysis of the different CNN-LSTM model caption generation of medical images
(Brac University, 2023-05)
The intent of this paper is to make the process of interpreting and understanding
information within ultrasound pictures simpler and quicker by addressing the lack
of techniques for automatically deciphering medical ...
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 ...
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 ...
Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
(Brac University, 2023-09)
"Medical picture segmentation is important for clinical applications because it can
offer valuable information on disease identification. With the inclusion of deep
learning techniques, the original U-Net and ResUnet ...
Speech command classification based on deep neural networks
(Brac University, 2023-03)
In our day-to-day life there are lots of sounds that we are processing. To process
these sounds our brain absorb sound signals and provide us informative knowledge.
For human being this is not possible to extract every ...
Pneumonia Disease detection using the convolutional neural network
(Brac University, 2023-01)
A bacterial illness called pneumonia causes inflammation in the air passages with one
or even both lungs. The disease can range from mild to life-threatening. Diagnosing
the disease at an earlier stage is crucial for the ...
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 ...
Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
(Brac University, 2023-09)
In recent years, online food ordering services have gained popularity by providing
customers with suitable and user-friendly platforms for ordering food from restaurants
and receiving doorstep delivery. Foodpanda Bangladesh ...