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Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
(Brac University, 2022-01)
Due to our unhealthy diets and the consumption of enhanced cholesterol in our
daily lives, our health has become vulnerable and at risk of different types of cardiac
diseases. The most common of them is Myocardial ...
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 ...
Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
(Brac University, 2020-04)
Ejection fraction value denotes how much blood is pumped out of the heart to different parts of the body. It is a routine clinical procedure in heart function assessment,
where the left ventricle of the heart has to be ...
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 ...
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 ...
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, ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...