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Cassava leaf disease classification using deep learning and convolutional neural network ensemble
(Brac University, 2022-01)
Cassava is a high-protein and nutrient-dense plant, notably inside the leaves. Cassava
is often used as a rice alternative. Pests, viruses, bacteria, and fungus may cause
a variety of illnesses on cassava leaves. This ...
Heart disease prediction system
(Brac University, 2022-01)
[1]According to the World Health Organization (WHO), 17.9 million people die
each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide.
This single piece of evidence is strong enough to describe ...
Predicting brain age from EEG signals using machine learning and neural network
(Brac University, 2022-05)
The objective of this study was to develop a technique for calculating the ages of people’s
brains by analyzing EEG data signals and using machine learning algorithms
on a Raspberry Pi. We employed many machine learning ...
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)
Color vision approach using auto encoded technique is an effective way to detect
objects. This approach considers various factors like movement detection, size and
shape detection, color detection etc. Here we have ...
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)
In recent years, mental health deterioration cases have increased exponentially indicates
that this issue needs our attention. Stressful situations of our daily life such as
excessive study load, relationship predicaments, ...