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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 ...
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 ...
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 ...
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 ...
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 ...
A computer vision based approach for stalking detection using CNN-LSTM hybrid model
(Brac University, 2022-05)
The next level of revolution toward a better world could involve combining human
security with machine intelligence. In recent years, stalking in public areas has
become a pervasive issue, and women are disproportionately ...
Biometric retina identification using artificial approach
(Brac University, 2022-05)
In this paper, we considered recognizing 2D retina pictures with a Convolutional
Neural Network (CNN) for greater accuracy since retina-based identification is the
most secure way of establishing identity and identifying ...
KDANet: optical recognition for Bangla language using deep neural networks
(Brac University, 2022-05)
When images of printed or handwritten are converted; be it mechanically or electronically to an
editable text format, this is called optical character recognition. Bangla is one of the most complex
languages as it has ...
Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
(Brac University, 2022-05)
One of the most devastating cancers in the world is lung cancer. It is estimated
that nearly a third of the world’s cancer fatalities are due to lung cancer. Diagnosis
and treatment of primary and metastatic cancers ...