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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 ...
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 ...
Early detection of diabetic retinopathy using deep learning techniques
(Brac University, 2021-10)
We, humans, are the bearer of diseases. While most of them have a thoroughly
researched and contemplated solution set, some of them do not. Diabetes is one of
those common diseases that do not have a clear solution but ...
Pest detection system using machine learning techniques
(Brac University, 2022-01)
Countries like Bangladesh yield a significant portion of their economy from their
agricultural sector. Agricultural pests, on the other hand, have a significant impact
on both agricultural production and crop storage. ...
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)
Prostate cancer is a ubiquitous form of cancer detected among men all over the
world. It is currently the second leading cause of cancer death worldwide among
men. Research shows that about 11% of men worldwide are ...
Classifying insect pests from image data using deep learning
(Brac University, 2022-01)
The fact that insecticidal pests impair significant agricultural productivity has become
one of the main challenges in agriculture. There are, nevertheless, several
requirements for a high-performing automated system ...