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Now showing items 11-20 of 280
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 CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)
Distracted driving is known to be one of the most significant reasons behind the
occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of
road accidents due to distracted driving has been increasing ...
FakeDetect: Bangla fake news detection model based on different machine learning classifiers
(Brac University, 2021-06)
Information is power although fake information can have severe consequences when
it gets viral. Living in the era of social media is like always getting influenced
by the news of the online world even though it is fake. ...
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 ...
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 ...
Bangla grammar and spelling check using machine learning
(Brac University, 2023-01)
Bangla, or Bengali, is one of the world’s most spoken languages, with hundreds of
millions of native speakers worldwide. Thousands of books are written in the Bangla
language every year, and millions of people register ...
Fire and disaster detection with multimodal quadcopter By machine learning
(Brac University, 2023-03)
Our thesis research is consisted of developing a model that can detect early fires
and, mapping the area for fire and disaster detection using a UAV (Unmanned
Aerial Vehicle) or quadcopter if a fire break out. Furthermore, ...
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 ...
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 ...