Browsing by Subject "Data mining"
Now showing items 1-20 of 46
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3D Brain image segmentation using 3D tiled convolution neural networks
(Brac University, 2023-09)Gliomas are the primary brain tumors that are most commonly observed in adult patients and exhibit varying degrees of aggressiveness and prognosis. The accurate identification and diagnosis of Gliomas in surgical procedures ... -
Aspect based opinion mining on restaurant reviews
(Brac University, 2023-09)The way businesses are operating have changed due to the explosion of the internet. Social media has an increasing number of reviews as people are keen to express their opinions based on their experiences. Online reviews ... -
An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy
(Brac University, 2024-05)Unsupervised clustering plays a crucial role in various real-life applications. It works by grouping similar data points together based on certain features or characteristics, without the use of predefined labels. The ... -
Automatic helmet-less biker detection using deep learning
(Brac University, 2023-09)When riders don’t wear a helmet while driving a motorcycle, they aren’t paying attention, leading to crashes and more deaths. The researchers utilized multiple deep-learning models to identify motorcyclists without ... -
Automatic subtitle generation for Bengali multimedia using deep learning
(Brac University, 2023-09)For audio or video material to be more inclusive and accessible, automatic subtitle generation is essential. Nevertheless, implementing this technology into Bengali presents significant challenges due to scarce resources ... -
Bangla text classification using machine learning and deep learning techniques
(Brac University, 2021-09)At present, we have seen everything is getting digitized where technology almost takes full control over our life. As a result, a massive number of textual documents are generated on online platforms and news articles ... -
Blockchain based Secured Multipurpose Identity (SMID) management system for smart cities
(Brac University, 2021-09)Blockchain, the decentralized architecture and distributed public ledger technology that enables Bitcoin, has recently drawn a strong interest from governments, nancial institutions, and high-tech companies. In modern ... -
BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization
(Brac University, 2024-01)Despite significant improvements in the general-purpose text summarization task in the past decade, clinical conversion summarization is going through a tough time due to a lack of initiative to provide open-source ... -
Customer segmentation using K-means
(Brac University, 2022-05)Sales Maximization is a critical aspect of operating any business. Our thesis aims to help businesses to probe deep into their market reach as we group customers us ing the customer segmentation approach. Our dataset is ... -
A deep learning approach for prediction of ADHD using brain structure
(Brac University, 2023-09)Attention deficit hyperactivity disorder (ADHD) is a complex condition affecting the brain’s neurodevelopmental processes. Prompt treatment and accurate diagnosis can alter neural connections and improve symptoms. This ... -
Deep learning based crowd monitoring and person identification system
(Brac University, 2023-09)In this paper, we propose a deep learning-based crowd monitoring and person identification system and a crowd-video dataset to address the challenges posed by the recent COVID-19 pandemic or future pandemics may occur, ... -
Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
(BRAC University, 2018-07)Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ... -
Detecting tweet sentiment and sarcasm on online learning during covid-19
(Brac University, 2023-01)COVID-19 pandemic has created a lot of challenges for student learning and educa tion across the globe. As a result of the global increase of the state of COVID-19, numerous educational institutions in the whole world ... -
Detection of fake identities on twitter using supervised machine learning
(BRAC University, 2019-05)Social media has changed the way people get their news. Once people used to buy newspapers to get their news but now everything is online. It has changed the dimension of how we receive news altogether. With a growing e ... -
Detection of handwritten text using convolutional neural network
(Brac University, 2019-04)Machine replication of human functions, like reading, is an ancient dream. However, over the last five decades, machine reading has grown from a dream to reality. We have tried to make it more obvious through a hand ... -
Detection of skin diseases using deep learning
(2023-09)As a topic of global health importance, skin diseases must be quickly identified and accurately diagnosed to allow for effective treatment. Specifically for the classification of skin diseases, the use of deep learning ... -
Detection of violent activity in surveillance system using different deep learning techniques
(Brac University, 2023-09)In the past decade, surveillance cameras have been a necessary integration for security measures in all types of localities. The omnipresence of these devices has substantially aided in tackling violent criminal activities. ... -
Early detection of lung cancer risk using data mining
(© 2013 Asian Pacific Journal of Cancer Prevention, 2013)Background: Lung cancer is the leading cause of cancer death worldwide Therefore, identification of genetic as well as environmental factors is very important in developing novel methods of lung cancer prevention. However, ... -
Effects of digital marketing data analytics and traditional marketing data analytics on a new product success: a study of SQUARE Toiletries Limited
(Brac University, 2024-01)This internship report aims to investigate the effects of digital marketing data analytics and traditional marketing data analytics on a new product success : A study of SQUARE Toiletries Ltd. This report is divided into ... -
An efficient deep learning approach to classify white blood cells
(Brac University, 2023-09)The human immune system’s white blood cells (WBCs) fight against infection and prevent the body from potentially harmful substances. They consist of neutrophils, eosinophils, basophils, monocytes, and lymphocytes, each ...
