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Now showing items 21-29 of 29
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)
Infectious and non-infectious respiratory diseases are among the major reasons for
deaths, financial and social crises around the world. However, medical personnel
still find it very difficult to detect the diseases using ...
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 ...
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)
Skin cancer have been the primary focus of this study, as they are one of the most
deadly diseases if not diagnosed and treated early. The study will make it possible
for computer science and medical science to work ...
What is relevant in a text document a machine learning based approach
(Brac University, 2021-06)
Text Documents often contain valuable data. But not all data is relevant. That is
why extracting relevant data from text documents is an essential task. Extracting
relevant data from text documents refers to the study ...
Cancer classification using deep learning from medical image data
(Brac University, 2022-01)
Cancer is a disease in which some of the body’s cells grow uncontrollably and spread
to other parts of the body. Cancer can start almost anywhere in the human body,
which is made up of trillions of cells. There is usually ...
Eve-teasing detection from video footage using computer vision and artificial intelligence
(Brac University, 2023-01)
We present computer vision approaches combined with machine learning techniques
to detect eve-teasing from any video material, which may be used in any situa tion. Eve teasing is a colloquial term for public sexual ...
Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
(Brac University, 2022-06-05)
There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...
Lung cancer detection and classification using machine learning
(Brac University, 2023-05)
Lung cancer is a term known to all nowadays. This disease grows in the lung tissues
and starts to spread with time. The cells responsible for air passage are corrupted
by it. It can happen because of air pollution. When ...
Citrus leaf disease detection by image processing
(Brac University, 2024-01)
Citrus leaf diseases bring a danger to the earnings of citrus estates. When it comes
to recovering from illness, early detection and accurate diagnosis are very necessary.
In the last several decades, there have been ...