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Graph data mining-based community clustering for gender-biased community detection of social media
(Brac University, 2023-05)
One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ...
Comparative analysis of machine learning models for stock price analysis across different dataset sizes
(Brac University, 2023-05)
The nature of the stock market has always been ambiguous as it constantly fluctuates for various factors. The regular fluctuations have always made it difficult
for investors to invest. This paper compares six different ...
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)
Internet-based resources are utilized by the vast majority of individuals today. The
news published on websites and shared on social media platforms are examples of
such resources. Due to the increasing number of content ...
Bank loan prediction using machine learning
(Brac University, 2023-05)
The Banking sector is a core foundation of the global economy as it facilitates the
financial transactions while providing fundings in various purposes. One key aspect
in the banking industry is the ability to accurately ...
Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
(Brac University, 2023-05)
Throughout the world, millions of people and their families are impacted by the
serious illness of cancer. The total number of new cancer cases worldwide in 2020
was predicted to reach 18.1 million. Serious emotional ...
Predicting obesity: a comparative analysis of machine learning models incorporating different features
(Brac University, 2023-05)
Obesity, the excessive accumulation of body fat, is a significant health risk associated
with various detrimental impacts, including the development of chronic diseases,
metabolic abnormalities, joint problems, sleep ...
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 ...
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 ...
An interpretable transformer based approach to classify Malaria from blood cell images
(Brac University, 2023-01)
Malaria is a disease that can be fatal, and it is spread through the bite of the female
Anopheles mosquito. The life of the sufferer is put in jeopardy as a result of the pres ence of numerous plasmodium parasites, which ...