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Now showing items 251-260 of 287
Blood donation application with implementation of machine learning
(BRAC University, 2018-04)
Blood is one of the most important elements of human body. Blood can be defined as the fluid we have in our bodies that carries oxygen from the lungs to the rest of the body. It also carries waste to be eliminated from the ...
Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
(Brac University, 2019-08)
Despite signi cant recent achievements in the eld of face recognition, implementing
proper face recognition system by training enough data is still a problem because not
everyone has enough photos that we can use to ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...
Crop prediction based on geographical and climatic data using machine learning and deep learning
(BRAC University, 2018-12)
Agriculture is the basic source of food supply in all the countries of the world—whether underdeveloped,
developing or developed. Besides providing food, this sector has contributions
to almost every other sector of a ...
Reconstruction of images with RPCA and augmenting 3D model
(Brac University, 2022-01)
Crime scene photography is one of the most essential parts of documentation for all
physical crime scenes in the field of forensic science. It is an organized and structured
operation, having a goal of helping the ...
Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
(Brac University, 2023-01-23)
Customers are the heart and soul of supermarkets, and these stores often suffer
losses due to mishandling of customer service. This study aims to examine how
the satisfaction of customers can be maximized with the help ...
Lung cancer detection and classification using machine learning
(Brac University, 2023-05)
Lung cancer is a term known to all nowadays. This disease grows in the lung tissues
and starts to spread with time. The cells responsible for air passage are corrupted
by it. It can happen because of air pollution. When ...
Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
(BRAC University, 2018)
The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...
A deep learning based autonomous electric vehicle on unstructured road conditions
(Brac University, 2021-09)
Autonomous driving vehicles are too known as driver-less cars which is one of the
foremost astounding advances of the twenty-first century, anticipated to be driverless,
effective, and crash dodging ideal urban cars of ...
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)
Stock market, a very unpredictable sector of nance, involves a large number of
investors,buyers and sellers. Stock market prediction is the act of attempting to
see the long run price of an organization stock or di erent ...