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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 ...
Classification of different magnetic structures from image data using deep neural networks
(Brac University, 2021-09)
We apply machine learning, specially deep neural network approaches, to train
a new model that can perform an effective classification of ferromagnetic, anti ferromagnetic, skyrmion, anti-skyrmion and spin spiral ...
A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
(Brac University, 2023-04)
Nowadays, social networking sites like Facebook and Twitter have become an sig-
nificant impact on our lives . We use such sites to remain in touch with one another
and as a source of news to stay informed about current ...
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 ...
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)
In every 100 years, there has been a pandemic all around the world. The globe faced
Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively.
Coronavirus, commonly known as Covid-19, is currently ...
Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)
Predictive analytics has received a lot of attention in recent years due to advances
in supporting technology, particularly in the areas of big data and machine learning.
In recent years, the uses of disease prediction ...
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)
Waste management refers to a system that starts with classifying different kinds of
waste and gradually managing it from its inception to its final disposal. Labeling
waste in a proper manner can ensure the best outcome ...