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Now showing items 11-20 of 31
Flood prediction using machine learning models
(Brac University, 2022-01)
Floods are one of nature’s most catastrophic calamities which cause irreversible and
immense damage to human life, agriculture, infrastructure and socio-economic system.
Floods are one of Bangladesh’s most common natural ...
Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
(Brac University, 2022-05)
Autonomous vehicles [AVs] are the future of transportation and they are likely to
bring countless benefits compared to human-operated driving. However, there are
still a lot of advances yet to be made before these vehicles ...
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 ...
Predicting climate induced floods using machine learning
(Brac University, 2022-01)
Climate change has been causing devastation on the economy of the country and the
world as a whole. The study aims to determine how climate change would impact
the frequency and severity of one of the major natural ...
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 ...
ML based career suggestive system for informal job sector considering cognitive skills
(Brac University, 2022-05)
We are striving to build a realistic procedure by which we, particularly the future
generation, will be able to choose the right career based on their capacity and interests.
A few well-known international firms, including ...
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 ...