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Now showing items 91-100 of 131
Machine learning In breast cancer prognosis and prediction
(Brac University, 2022-05-19)
In the human body, cancer is a condition that causes cells to proliferate quickly and uncontrolled across the whole body. It has the ability to arise in any of the billions of cells that build up the human body. Human cells ...
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 ...
SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
(Brac University, 2021-01)
Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of
cyber-attacks take place every day, the development of a more secured
system so ...
Automation requirements engineering using machine learning
(Brac University, 2021-09)
Machine learning algorithms help to automate the process in many di erent problem
domains. In the eld of Software engineering. Requirement engineering is one of the
rst stages of software development. This research ...
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)
In recent years, mental health deterioration cases have increased exponentially indicates
that this issue needs our attention. Stressful situations of our daily life such as
excessive study load, relationship predicaments, ...
Brain tumor detection through image processing
(Brac University, 2021-01)
Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
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 ...
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
(Brac University, 2022-01)
The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can
easily and smoothly stitch anyone into any digital media where they never took part in
reality. The key components of deepfake are ...
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)
The field of medical imaging is rapidly growing with the help of machine learning, yet
the problem of scarcity in labeled medical imaging still remains. Therefore training a
machine learning model for medical image ...