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A deep learning approach towards soft biometrics attributes prediction using CNN
(Brac University, 2021-09)
Any physical, behavioural or adhered human characteristics that we can observe
from a person is known as Soft Biometric.The most common physical soft biometric
attributes are height, age, ethnicity, facial hairs, gender, ...
Deep learning-based waste classification system for efficient waste management
(Brac University, 2021-10)
A smart waste management system plays a vital role in building cleanliness, hygienic,
and healthier living for the inhabitants of a city. However, the inherent problems
of the waste management system are still a matter ...
FoodieCal: a convolutional neural network based food detection and calorie estimation system
(Brac University, 2021-01)
According to recent studies across the world, we can see that a healthy diet is the key
to having a sound health and body. People nowadays are more concerned with their
diets than ever before. With the advancement of ...
Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
(Brac University, 2021-01)
Retinal disease diagnosis by machine learning can be achieved using Deep Neural
Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the
potential to explain the black box of those neural network ...
Classification of damaged vegetation areas using convolutional neural network over satellite images
(Brac University, 2021-01)
Forests and wild vegetation have always been highly significant natural resources throughout history and play a crucial role in keeping the climate and ecosystems well balanced. Over the years, there has been a growing ...
Quantum error correction using quantum convolutional neural network
(Brac University, 2021-06)
Quantum computing with its powerful attributes - entanglement and superposition, is revolutionizing modern computation. Moreover, quantum computation can
be applied to a wide range of real-world applications, including ...
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 ...
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 ...