Browsing by Subject "MobileNetV2"
Now showing items 1-11 of 11
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Analyzing students’ concentration in online courses through Webcam
(Brac University, 2024-01)Online learning is growing in popularity these days. As a result, students typically contribute millions of course-related responses to discussion forums and exchange some learning experiences. This study focuses on ... -
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 ... -
A comparative study of lung cancer prediction using deep learning
(Brac University, 2022-09)At the point when cells in the body develop out of control, this is alluded to as cancerous development. Lung cancer is the term used to depict cancer that starts in the lungs. At first in the field, classifier-based ... -
Criminal activity detection using deep learning algorithms
(Brac University, 2021-01)Criminal activities using guns and knives occur very frequently. The quick and accurate detection of a criminal activity is paramount to securing a place where people usually gather every day. More and more security ... -
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 ... -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ... -
Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
(Brac University, 2023-06)One of the known eye conditions that affect human retinal blood vessels is diabetic retinopathy (DR). People with diabetes are typically at significantly increased risk for this. The blood vessels in the retina are damaged ... -
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)Nowadays, research on many diseases such as cancer has been ongoing to determine how to reduce and minimise the effect. There are many characteristics of cancer that can be identified by their consistent cell proliferation ... -
Mango leaf disease detection using image processing
(Brac University, 2024)Bangladesh is an agricultural country and mango cultivation plays a significant role in the economy of Bangladesh. Mango trees are at risk of different kinds of leaf disease. As a result, it can be the reason for hindering ... -
Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
(Brac University, 2022-05)The importance of a tree’s involvement in human life and the environment cannot be overstated. Plants, like humans and animals, are susceptible to disease. Many vegetation diseases might impair a plant’s healthy development. ... -
Skin disease detection and classification using deep learning
(Brac University, 2022-01)Skin Diseases have been the primary focus of this study, as they are one of the most lethal diseases if not diagnosed and treated early. The research will enable the fields of Medical Science and Computer Science to ...
