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Now showing items 131-140 of 143
Silent voice: harnessing deep learning for lip-reading in Bangla
(Brac University, 2024-01)
Understanding speech just through lip movement is known as lipreading. It is a
crucial component of interpersonal interactions. The majority of the previous initiatives
attempted to address the English lipreading issue. ...
Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports
(Brac University, 2024-01)
In this project, we delve deeper into the complex area of predicting a potential replacement
of a footballer of a specific position. For that, we used multiple machine
learning models on the Sofifa dataset. Our analysis ...
Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
(Brac University, 2024-01)
This work aims to analyze the potential of deep neural models for text-based entailment
in Bangla Language. Entailment is the method of determining whether one
text infers or goes against another text. The study concentrates ...
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
(Brac University, 2024-01)
Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized
by abnormal enhancement of the meninges following trauma, often observed
in medical imaging studies. Traumatic meningeal injuries result ...
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
(Brac University, 2024-01)
Cancer is a complex and highly invasive disease that forms due to the abnormal
growth of cells in any part of the body. A majority of cancers are unraveled and
treated by incorporating advanced technology. However, ovarian ...
An efficient ML approach to detect brain tumor using MRI images
(Brac University, 2023-05)
Brain tumors have become the most leading causes of death worldwide. Brain tumors
can be fatal, have a severe impact on quality of life, and completely alter a
patient’s and their loved ones’ lives. Early diagnosis of ...
Document template identification and data extraction using machine learning and deep learning approach
(Brac University, 2024-01)
As the world keeps progressing and we continue on our path to a technologically
advanced tomorrow, the demand for quick data processing and organization is becoming
more and more necessary. People now have access to ...
Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
(Brac University, 2024-01)
Ocular toxoplasmosis (OT) is often diagnosed by a specialist by the examination
of fundus images of the eye. While deep learning is commonly used to process
and identify diseases in medical images, ocular toxoplasmosis ...
Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
(Brac University, 2022-01)
Due to a number of reasons, marine ecosystems change with certain species of fish
disappearing while novel species of fishes become a new staple within a given ecosystem,
e.g., a lake, river, etc. Monitoring these changes ...
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
(Brac University, 2023)
"COVID-19 and viral Pneumonia are types of lung disease that are highly infectious, and have
a tendency of causing an outbreak, that then puts stress on the healthcare sector. When the
COVID-19 pandemic first began there ...