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Weather forecasting using Deep Learning
(Brac University, 2022-09)
Global human life is significantly impacted by weather forecasts. It takes a lot of computing resources
to solve mathematical equations that are based on climatic circumstances. As a result, during the
past ten years, ...
Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)
Although smartphones have already become the de facto tool for environmental
health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ...
Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
(Brac University, 2022-01)
The Internet of Things (IoT) is a term that refers to billions of actual gadgets
all over the universe that are connected to the network, participating in all social
events, and sharing data. It is the most recent ...
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)
The neurodegenerative Alzheimer's Disease is the most widely recognized cause of
`Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless,
there is still no conclusive test for distinguishing ...
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
(Brac University, 2021-09)
Intracranial hemorrhage is an acute bleeding within the skull which can damage
the brain tissue and can eventually lead to disability or even death. It is a serious
medical condition that occurs when blood is built up ...