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Now showing items 21-30 of 58
Research on generative sign language using neural networks
(Brac University, 2021)
Sign gesture, which is one type of non-audible specialized strategy is the medium
to correspond with individuals having auditory and talking incompetency. There
are numerous computerized methods of creating gesture-based ...
Application of machine learning in attentiveness detection from EEG signal
(Brac University, 2022-09-29)
Brain-computer interface (BCI) spellers enable severely motor-impaired people to
communicate through brain activity without the use of their muscles. Our brains
precisely predict what we will think. If a human-readable ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
(Brac University, 2021-05)
The world is changing with the pace of information technology revolution and now
a-days anybody can access to the internet including the children. Since birth These
21st century children are able to access to the di erent ...
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 ...
Bangali Handwritten characters classification using Deep Convolutional Neural Network
(Brac University, 2022-05)
Handwritten letter classification of any given language has the potential to be used
in various fields such as literature, educational institutions, digitization of govern ment records etc. Bengali language with its complex ...
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)
The world stood still during the massive breakout of the Covid-19 worldwide. This
massive outbreak of this contagious disease was occurred by being airborne. Not
only COVID but also there are many other contagious disease ...
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
(Brac University, 2020-03)
Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is
highly requisite for the treatment, screening, diagnosis ...
An efficient deep learning approach for 3D face detection using multiple angular 2D images
(Brac University, 2022-09-25)
3D face reconstruction is a useful computer vision technique for facial recognition.
Accuracy decreases drastically while extracting features from 2D and moving images.
To overcome this problem, we are proposing ...
Data security model using deep learning and edge computing for Internet of Things (IoT) in smart city
(Brac University, 2021-09)
In the current ongoing world of the IoT (Internet of Things) devices, it is absolutely
vital to have a safe, secure and reliable cyberspace. A cyberspace or network where
it is free from all sorts of unethical activities ...