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Now showing items 1341-1350 of 1397
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 ...
eDoctor: an online medical service
(Brac University, 2024-01)
The COVID-19 situation has demonstrated the value of telemedicine in healthcare.
During the pandemic it was not safer to visit a hospital physically therefore
telemedicine has played a vital role on improving the standard ...
A smart avatar tutor for mimicking characters of Bangla sign language
(Brac University, 2024-01)
This paper presents an efficient novel approach to developing a smart avatar tutor
for teaching Bangla Sign Language (BSL). The avatar is designed to mimic the
numbers and alphabets used in BSL, providing an interactive ...
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 ...
Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
(Brac University, 2022-09-28)
Sign language is known as the primary communication medium for deaf and mute
people. But the lack of available resources and a steep learning curve deter the
average person from learning it making communication with the ...
Behavior change analysis due to violent video gaming using deep learning models
(Brac University, 2024-02)
In the 21st century, technology has advanced at such a wondrous rate that people
resort to this developed medium to carry out most of their tasks, from household
chores to daily necessities and almost everything else. ...
Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
(Brac University, 2024-01)
The preliminary and precise diagnosis of Alzheimer’s Disease is significant for the
speedy management and intervention of the disorder. Numerous valuable tools such
as Magnetic Resonance Imaging (MRI), Positron Emission ...
Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
(Brac University, 2024-01)
Classifying retinal diseases with a higher accuracy rate is one of the most important
means in the medical field. In the case of image classification, finding a dataset
becomes a significant challenge for such cases. As ...
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 ...
Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)
Schizophrenia is one of the destructive personality disorders where people have unusual
interpretations of reality and are lured to develop harmful actions if not diagnosed
promptly. This study focuses on identifying ...