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Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
(Brac University, 2020-04)
Parkinson’s disease is a neurological condition that is dynamic and steadily influences the movement of the human body. It causes issues within the brain and slowly
increments time by time. Tremor is the major side effect ...
3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning
(Brac University, 2022-04)
In a mobile network, there are a lot of data that can provide network detail about
network efficiency, robustness, and availability. A type of data is mobile network
performance data obtained from the key performance ...
Home Automation System Based on IoT
(Brac University, 2022-09)
Home automation was created primarily to assist and support the elderly and dis abled at home. Home appliances are designed based on a computer device platform
to automate the use of a Bluetooth and wireless interface ...
Detection and prediction of epileptic seizure using different machine learning classifiers
(Brac University, 2022-05-29)
Analyzing neural signals produced by neurons in the brain, epilepsy can be diagnosed. An electroencephalogram (EEG) measures brain electrical activity, and studying EEG data in order to detect epileptic seizures in their ...
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. ...
Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
(Brac University, 2020-04)
Diseases in Tomato mostly on the leaves affect the reduction of both the standard
and quantity of agricultural products. Several diseases such as bacterial spot, early
blight, late blight, leaf mold, septoria leaf spot, ...
Detecting brain tumor using deep neural networks from MRI images
(Brac University, 2021-06)
A brain tumor is a collection of abnormal cells growth in brain. It is a neurological
disease which causes great damage and affects other healthy cells of brain. It can be
cancerous or non-cancerous. Nowadays, people are ...
A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
(Brac University, 2020-04)
We propose a color vision approach that enables normalizing images based on autoencoder technique using deep neural networks. The proposed model consists of
three main different steps: image processing, encoding and ...
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, ...
Implementation of real-time rickshaw hiring application
(Brac University, 2021-06)
Steps to eliminate the issue of rickshaw hiring are now a severe need. Furthermore,
the best solutions to the problem are developing an algorithm and implementing a
rickshaw app. Besides that, many people believe that ...