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Monitoring of endangered fish using image processing and AI tools
(Brac University, 2018-12)
Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring
of them efficiently face setbacks largely due to technological limitations and economic
reasons. Technological challenges include ...
Comparison of deep transfer learning models for cancer diagnosis
(Brac University, 2022-05)
Cancer is known to be one of the most lethal diseases among all the diseases in
the world. It is clinically known as ’Malignant Neoplasm which is a vast group
of diseases that encompasses unmonitored cell expansion. It ...
Crop monitoring system using image processing and environmental data
(BRAC University, 2018)
We propose advanced crop monitoring system using image processing from environmental data for faster and better yield of agriculture. In the system, we have used colour segmentation and binary masking to analyse and ...
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 ...
An emergency based image filtering system
(Brac University, 2018-12)
With the invention of new technology day by day the rate of inhuman works is also getting
increased as well which ,making our life easier but at the same time unsafe. The new
advanced technologies are permitting us to ...
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
(Brac University, 2023)
"COVID-19 and viral Pneumonia are types of lung disease that are highly infectious, and have
a tendency of causing an outbreak, that then puts stress on the healthcare sector. When the
COVID-19 pandemic first began there ...
Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
(Brac University, 2021-09)
Transfer learning (TL) has shown its great advantage to solve small-training-sample
issues utilizing information learned from existing large data with deep learning tech-
niques. Transfer learning has been e ectively ...
Navigational intelligence at river: a laser-based imaging approach for nocturnal vessel detection
(Brac University, 2024-01)
In this 21st century, maritime routes are crucial for geographical and financial reasons
in riverine countries which include passenger traveling, cargo vessels, fishing,
etc., and play an equally imperative role in the ...