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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 ...
A domain and noise adversarial bird tune classification pipeline using deep neural network
(Brac University, 2022-09-29)
Birds are an important category of animals that ecologists keep track of utilizing
autonomous recording units as a key indication of environmental health. Because
of the consequences of climate change and the rising ...
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)
The next level of revolution toward a better world could involve combining human
security with machine intelligence. In recent years, stalking in public areas has
become a pervasive issue, and women are disproportionately ...
Rumor detection in Bangla using machine learning & deep learning
(Brac University, 2022-05)
Over the last decade, social media networks have become a vital platform for sharing
and obtaining information. Nevertheless, one of the dark sides of this social
media fever is rumors and fake news. Because misinformation ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
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 ...
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 ...
Comparison of different CNN architectures for brain tumor detection using fMRI
(Brac University, 2020-04)
Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire
nervous system gets collapsed. The brain tumors are the ...
RetinalNet-500: a newly developed CNN model for eye disease detection
(Brac University, 2022-05)
Fundus images are commonly used by medical experts like ophthalmologists, which
are very helpful in detecting various retinal disorders. They used this to diagnose
the different types of eye diseases like Cataracts, ...