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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 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 ...
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 ...
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)
This work tries to detect skin cancer and classify its type using datasets containing
labeled images and classes, using pre-trained CNN models and merged
pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Pest detection system using machine learning techniques
(Brac University, 2022-01)
Countries like Bangladesh yield a significant portion of their economy from their
agricultural sector. Agricultural pests, on the other hand, have a significant impact
on both agricultural production and crop storage. ...