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Now showing items 31-40 of 116
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 ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
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 ...
Analyzing the security of e-Health data based on a hybrid federated learning model
(Brac University, 2023-01)
This research aims to provide an approach for analyzing the security of the e-health
care system through the use of federated learning and the pre-processing of distinct
deep learning models. The infrastructure for ...
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 ...
Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks
(BRAC University, 2019-04)
With the advancement of technology, the virtual platform and social media have become an important part of people’s daily life. The social media allows users to communicate, to express their feelings and to discuss on ...
Leaf classification by feature extraction using CNN
(Brac University, 2019-12)
Plants are an integral part of our nature. The identification and classification of
plant leaves has always been a matter of interest for the botanists as well as the
laymen. Classification of plant leaves will enable ...
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 ...