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A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
(Brac University, 2020-04)
In today's world, technological advancements have entangled our nancial, social
and many more other aspects of lives to the internet or some network. Moreover,
with the development of IoT technologies, it has spread ...
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)
The neurodegenerative Alzheimer's Disease is the most widely recognized cause of
`Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless,
there is still no conclusive test for distinguishing ...
Enhancing optical character recognition capabilities for Bengali script: the development and evaluation of Bengali CharNet
(Brac University, 2023)
Optical Character Recognition (OCR) technology has made an excellent stride in
recent years, yet the accurate digitization of Bengali handwritten script remains a
formidable challenge. This project introduces ’Bengali ...
Criminal activity detection using deep learning algorithms
(Brac University, 2021-01)
Criminal activities using guns and knives occur very frequently. The quick and accurate
detection of a criminal activity is paramount to securing a place where people
usually gather every day. More and more security ...
Enhancing VIA screening for cervical cancer: a comprehensive system integrating image processing, risk factors and follow-up facilitation
(Brac University, 2024-05)
Visual Inspection of cervix with Acetic Acid (VIA) is an inexpensive and effective
screening test which is being conducted in many under-developped and developing
regions. In medical image processing applications, the ...
A comprehensive hybrid framework for Parkinson’s disease detection: integrating handcraft features along with deep learning-based feature extraction with variational autoencoder and traditional machine learning techniques for classification
(BRAC University, 2024-10)
Neurodegenerative disorders, such as Parkinson’s disease, present a significant medical
challenge, necessitating innovative approaches for detection. This thesis introduces
a comprehensive hybrid framework that combines ...