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Now showing items 11-20 of 319
Health monitoring IoT device with risk prediction using cloud computing and machine learning
(Brac University, 2020-04)
Health issues often stay hidden due to not having regular health checkups. Sometimes
these issues build-up to a signi cant health hazard which stays hidden until
it's often too late. So we came up with a series of ideas ...
Bang-lish sentiment classification using deep learning
(Brac University, 2023-01)
E-commerce websites and social media platforms have become integral parts of peo ple’s social lives. Through posts, comments, and reviews on social media and online
shopping websites, people can share their ideas. ...
Automated feedback test generation and functionality testing for UI development with self-guided recommendation
(Brac University, 2023-01)
UI development is the most integral part of the Software Development Life Cycle
and testing the functionality of the UI is also as much important during the Software
Testing Life Cycle of any software project. Without ...
Deep learning-based waste classification system for efficient waste management
(Brac University, 2021-10)
A smart waste management system plays a vital role in building cleanliness, hygienic,
and healthier living for the inhabitants of a city. However, the inherent problems
of the waste management system are still a matter ...
Heart disease prediction system
(Brac University, 2022-01)
[1]According to the World Health Organization (WHO), 17.9 million people die
each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide.
This single piece of evidence is strong enough to describe ...
Machine learning approach for improving decision support in ICU
(BRAC University, 2018-07)
Patients in the intensive care unit (ICU) receive a deep observation for controlling and responding to their rapidly changing physiological conditions. The quality of their care depends on clinical staff combining large ...
A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
(Brac University, 2023-05)
Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ...
Optimal transport theory based GAN for medical image augmentation and classification
(Brac University, 2023-01)
Unsupervised neural networks called Generative Adversarial Networks (GANs) are
used to provide realistic pictures without relying on the original data. Due to dis parities in illness occurrence, the challenge of class ...
Determining fatal heart failure risks in patients diagnosed with chronic kidney disease: a machine learning approach
(Brac University, 2022-01)
The connection between heart and kidney has been medically established. The presence
of a condition affecting one of the organs impairs the other. Hence, the causal
associations between two of the most long-term conditions: ...
Classi cation of magnetic configurations using machine learning algorithms
(Brac University, 2019-08)
Machine learning is used to carry out e cient studies and analyses in the eld of condensed
matter physics. We propose comprehensive machine learning approaches that
would classify between magnetic structures. We propose ...