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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, ...
A comparative study of deep learning methods for automating road condition characterization
(Brac University, 2020-04)
Roads in Bangladesh provide infrastructural facilities to both agricultural as well as industrial sectors of the country. Distressed roads can cause fatal accidents as well as largely decelerate sector progress. This makes ...
A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
(Brac University, 2020-04)
In today's world, technological advancements have entangled our nancial, social
and many more other aspects of lives to the internet or some network. Moreover,
with the development of IoT technologies, it has spread ...
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 ...
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 ...
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 ...
An efficient deep learning approach to predict heart failure from image data using ejection fraction
(Brac University, 2022-09-28)
Heart is the core of human body. A normal heart beats almost 1,15,200 times in a day
and 80 beats per second to make us live alive. But we often take it granted and do
uncertain thinks which stops it to function perfectly. ...