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Fault detection and predictive maintenance in IoT-based building management system using machine learning
(Brac University, 2022-01)
Infrastructures in the modern era are incorporating the Internet of Things (IoT) in
everything from complex building automation systems (BAS) to individual small
devices, emphasizing the importance of Predictive Maintenance. ...
Malicious data classification in packet data network through hybrid meta deep learning
(Brac University, 2023-01)
Advancements in wireless network technology have provided a powerful tool to boost
productivity and serve a strong communication which overcomes the limitations
of wired networks. However, because of using wireless ...
Predicting depression in Bangladeshi undergraduates using machine learning
(BRAC University, 2018-12)
Depression is a major disorder and a growing problem that impacts a person’s way of living,
disrupting natural functioning and impeding thought processes while they might remain
oblivious to the fact that they are suffering ...
Intracranial hemorrhage detection using CNN-LSTM fusion model
(Brac University, 2022-05)
Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue
and the skull or within the brain tissue itself. It is life-threatening and needs immediate
medical attention. As the first response, ...
Automated online exam proctoring system using computer vision and hybrid ML classi er
(Brac University, 2021-10)
The term online proctoring comes hand in hand with online education. There are
not many exceptions between traditional education and the online education system
except for the fact that online education, as well as online ...
Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
(Brac University, 2018-12)
The world of Machine Learning is expanding everyday through its implementations in
modern day healthcare. Researchers have sketched out many ways to implement
Machine Learning algorithms and droned into ways to make them ...
Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
(Brac University, 2023-05)
An essential component of medical diagnosis is the precise detection and localization
of anomalies in X-rays of the chest images. It is urgently necessary to develop
the most precise automated model to identify thorax ...
Credit card fraud detection using machine learning techniques
(Brac University, 2021-09)
The extensive use of the internet is perpetually drifting businesses to incorporate
their administrations in the online environment. As a result of the development of
e-commerce websites, people and monetary corporations ...
A novel approach to reduce air pollution through machine learning based PM2.5 prediction
(Brac University, 2022-05-24)
AI (Artificial Intelligence) is one of the most fascinating subjects for computer scientists in this century. It is a technology that helps a machine to do tasks by itself which needs human intelligence. This technology ...
Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
(Brac University, 2023-08)
In order to reduce manpower and bottleneck in the inspection system of industrial
garments, we explored the application of the YOLOv5 model using our very own
dataset of defective clothing pieces. The economy of Bangladesh ...