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Now showing items 1-10 of 14
Real time action recognition from video footage
(Brac University, 2021)
Crime rate is increasing proportionally with the increasing rate of the population.
The most prominent approach was to introduce Closed-Circuit Television (CCTV)
camera-based surveillance to tackle the issue. Video ...
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)
Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion
line. Therefore, establishing a reliable and ...
Facial expression recognition: convolutional attentional masking network and ensemble approach
(Brac University, 2021-01)
Facial expression plays a significant role in human communication. The necessity of recognizing facial expression is increasing rapidly as it can be implemented in various important fields such as in human-computer interactions, ...
Detection of multiple sclerosis using deep learning
(Brac University, 2021-01)
Accurate detection of white matter lesions in 3D Magnetic Resonance Images (MRIs) of patients with Multiple Sclerosis is essential for diagnosis and treatment evaluation of MS. It is strenuous for the optimal treatment of ...
Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
(Brac University, 2021-06)
The proper prediction of schizophrenia at an early stage can be very beneficial to those
who are at risk of developing it at a severe stage later on. The early signs of schizophrenia
include extreme reaction to criticism, ...
Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
(Brac University, 2021-06)
Parkinson’s Disease is the second most common neurological disease after Alzheimer’s
Disease. The disease is incurable. However, if the disease can be detected earlier,
then the consequences of it’s effect can be relieved. ...
Comparative analysis and implementation of credit risk prediction through distinct machine learning models
(Brac University, 2021-06)
Predicting the risk while lending money has always been a challenge for financial
institutions. To make such decisions many banks or financial organizations follow
different techniques to analyze a set of data. Manual ...
A deep learning approach to integrate human-level understanding in a Chatbot
(2021-01)
AI-powered computers like chatbots have taken over the market today to reduce
human workload. Unlike humans, chatbots reply immediately, are available 24/7
and can assist several people at the same time. Due to the ...
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
(Brac University, 2021-09)
eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional
data, particularly in the field of computer vision. As ...
Smart companion agent for mental well-being through Deep Learning and NLP
(Brac University, 2021-01)
Mental disorders are an unfortunate reality among the general
population nowadays. Conditions like anxiety; depression may
seem trivial on the surface but have serious consequences on an
individual’s life. These disorders ...