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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 ...
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 ...
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 ...
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)
Prostate cancer is a ubiquitous form of cancer detected among men all over the
world. It is currently the second leading cause of cancer death worldwide among
men. Research shows that about 11% of men worldwide are ...
Segmentation based Kidney Tumor Classification using Deep Neural Network
(Brac University, 2022-01)
Kidney disease is one of many severe chronic disease that a person can have. Early
detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
(Brac University, 2022-05)
Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal
problems that can be used in combination with traditional diagnostic testing
methods. We developed and implemented a deep Convolutional ...