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Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
(Brac University, 2022-01)
Content centric network is a state-of-the-art networking architecture for content
distribution and content caching. However, it is inefficient to cache every content
in each network device. The modern edge computing ...
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 ...
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
(Brac University, 2023-09)
Skin Cancer is a cancer form that has become very prevalent in recent times and, if
left untreated, has the potential to cause premature death. That is why early diagnosis
and treatment are important to cure this disease. ...
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 ...
Connected hidden neurons (CHNNet): an artificial neural network for rapid convergence
(Brac University, 2023-09)
Despite artificial neural networks being inspired by the functionalities of biological
neural networks, unlike biological neural networks, conventional artificial neural
networks are often structured hierarchically, which ...
Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS
(Brac University, 2023-09)
In recent years, road safety has emerged as a critical concern due to the increasing
number of accidents attributed to driver negligence and fatigue. This thesis
addresses this pressing issue by proposing a Real-Time ...
Leveraging sequential deep learning models for detecting multitude of human action categories
(Brac University, 2023-09)
In today’s world, where science and technology are constantly evolving day by day,
people are drawn to tangible experiences and visual representations. There’s a growing
effort to teach machines about human movements and ...
An efficient ML approach to detect brain tumor using MRI images
(Brac University, 2023-05)
Brain tumors have become the most leading causes of death worldwide. Brain tumors
can be fatal, have a severe impact on quality of life, and completely alter a
patient’s and their loved ones’ lives. Early diagnosis of ...