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Now showing items 71-80 of 84
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 ...
Polycystic ovary syndrome detection using neural network.
(Brac University, 2023-01)
A fairly frequent endocrine abnormality among women of reproductive age is polycystic
ovary syndrome (PCOS). In this disease, the ovaries produce abnormally high
levels of androgens, which are male sex hormones that are ...
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 ...
Verifying online signatures through an iterative device independent model
(Brac University, 2023-01)
Hand signatures are getting used from as early as we invented writing. In 3100 BC,
we found examples of people using words and symbols to denote their identity. It has
also been used as a method of identification. Modern ...
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 ...
Flood prediction using ensemble machine learning models
(2023-07)
Frequent and devastating floods in India pose a significant threat to people and
property. Accurate and real-time forecasting of floods is essential to mitigate their
impact. This thesis focuses on evaluating di↵erent ...
Efficient network traffic management and intelligent decision-making through machine learning and DNS log analysis
(Brac University, 2023-08)
This research presents a comprehensive approach to network traffic management
and analysis by leveraging DNS log analysis, machine learning techniques, and
Software-Defined Networking (SDN) integration. In an office ...
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 ...