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Now showing items 191-200 of 320
Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
(Brac University, 2019-09)
A credit score is a numerical expression based on a level analysis of a person's credit
files, to represent the creditworthiness of an individual. The credit score plays a
major role in banks, financial institutions ...
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)
There are signi cant amount of di erences between an addicted and non-addicted
person on their social and familial behavior. In our thesis we tried to nd out
the characteristics of a person related to his social and ...
Intelligent parking system using machine learning
(Brac University, 2022-09-28)
In the last two decades, the quantity of automobiles has increased dramatically. As
a result, utilizing technology effectively to promote convenient parking at public and
private locations becomes critical. Conventional ...
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 ...
Ripple down rule based decision intelligence for mental disorder diagnosis
(Brac University, 2023-01)
Ripple Down Rule (RDR), a rule-based incremental system, enables knowledge acquisition from human experts to knowledge-based systems (KBS). The majority of modern decision intelligence systems rely on machine learning ...
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 ...
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
(Brac University, 2019-04)
Bangladesh being one of the most heavily populated country in the world, the traffic condition is worsening every year due to the increase of vehicle activities through- out the entire nation. Research claims that an average ...
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 ...
A secured federated learning system leveraging confidence score to identify retinal disease
(Brac University, 2023-05)
Federated learning is a distributed machine learning paradigm that enables multiple
clients to collaboratively train a global model without sharing their local data. How-
ever, federated learning is vulnerable to adversarial ...