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DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
(Brac University, 2022-09)
Moiré artifacts is a special type of noise which is rarely considered in deep learning
based image processing tasks. But with the increasing number of digital screens like
TV, laptop, desktop screens etc. it is becoming ...
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 ...
Blockchain based E-procurement system to eradicate corruption in public sector
(Brac University, 2022-01)
Public procurement is a basic function of the government for providing services
to its citizens. A digitalized, tamper proof public-procurement function not only
helps a country to make progress but also helps in economic ...
Voice recognition using machine learning and central database to enhance security system
(Brac University, 2022-01)
Voice recognition refers to the purpose of interpreting voice or identifying any individual
voice. In modern days of technological advancement voice recognition has
been playing an integral part behind many machine ...
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 ...
An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
(Brac University, 2022-09)
In medical application, deep learning-based biomedical pixel-wise detection through
semantic segmentation has provided excellent results and proven to be efficient than
manual segmentation by human interaction in various ...
An approach to detect epileptic seizure using XAI and machine learning
(Brac University, 2022-05)
One of the most common neurological disorder in health sector is Epileptic Seizure
(ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million
people in the whole world are suffering from Epileptic ...
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
(Brac University, 2022-09)
Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ...
A secured way of keeping medical data efficiently using web farm In the perspective of Bangladesh
(Brac University, 2022-01)
Bangladesh is a fast developing country and aims to enter the list of developed
countries by 2030. With that aim, there are remarkable technological advancements
taking place in all sectors, but information technology ...
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 ...