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A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
(Brac University, 2021-10)
Depression and mental health issues (stress, nervousness, panic attacks, anxiety
attacks etc.) are nowadays a major issue in the whole world. It is a common cause
of mental illness that has been linked to an increased ...
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 ...
CancerCare: A reliable and secured self-supervising and interactive system using deep learning
(Brac University, 2023-01)
Cancer is the ultimate global health issue in the 21st century, as its burden is in creasing day by day. In the year 2020 [36], 18.1 million cancer cases were estimated,
where 9.3 million were men and 8.8 million were ...
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 ...
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 ...
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 ...
Homomorphic encryption on deep learning in accurate prediction of brain tumour
(Brac University, 2023-01)
The brain is the most complicated organ that manages every bodily function as well
including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature,
and appetite. Any type of disease or damage ...
Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
(Brac University, 2022-05)
Machine learning (ML) is such a field that focuses on learning based method. It
basically leverage data to improve the performance on particular tasks. It creates a
model based on training data and makes prediction ...
Bone age comparison using convolutional neural network
(BRAC University, 2019-04)
In the last few years,Machine Learning has taken the world by storm. From predictive
web browsing to the email and text classi cation,from the autonomous car to
facial recognition, machine learning is the main core of ...