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Now showing items 11-20 of 439
Voice recognition using machine learning and central database to enhance security system
(Brac University, 2022-01)
Voice recognition refers to the purpose of interpreting voice or identifying any individual
voice. In modern days of technological advancement voice recognition has
been playing an integral part behind many machine ...
An efficient deep learning approach to detect skin Cancer
(Brac University, 2021-09)
Each year, millions of people around the world are affected by cancer. Research
shows that the early and accurate diagnosis of cancerous growths can have a major
effect on improving mortality rates from cancer. As human ...
A Comparative study on Bengali handwritten character recognition and prediction using CNN
(Brac University, 2021-01)
The transcription Bengali text to digital text is neither very efficient nor accurate. This proves to be a problem because most official work in Bangladesh is traditionally done in Bengali, on pen and paper hardcopy documents, ...
Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
(Brac University, 2022-01)
Due to our unhealthy diets and the consumption of enhanced cholesterol in our
daily lives, our health has become vulnerable and at risk of different types of cardiac
diseases. The most common of them is Myocardial ...
An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
(Brac University, 2022-09)
In medical application, deep learning-based biomedical pixel-wise detection through
semantic segmentation has provided excellent results and proven to be efficient than
manual segmentation by human interaction in various ...
A deep learning approach towards soft biometrics attributes prediction using CNN
(Brac University, 2021-09)
Any physical, behavioural or adhered human characteristics that we can observe
from a person is known as Soft Biometric.The most common physical soft biometric
attributes are height, age, ethnicity, facial hairs, gender, ...
An approach to detect epileptic seizure using XAI and machine learning
(Brac University, 2022-05)
One of the most common neurological disorder in health sector is Epileptic Seizure
(ES) which is occurred by sudden repeated seizures. Hitherto more than 50 million
people in the whole world are suffering from Epileptic ...
A comparative study of deep learning methods for automating road condition characterization
(Brac University, 2020-04)
Roads in Bangladesh provide infrastructural facilities to both agricultural as well as industrial sectors of the country. Distressed roads can cause fatal accidents as well as largely decelerate sector progress. This makes ...
A comparative study of traffic detection using Google map (GPS) and IoV
(Brac University, 2021-06)
Everyone knows that time is money and nowadays people spend quite a large amount
of time on the roads in their daily life. The reason behind this is nothing but
‘Traffic’. Traffic detection and navigation has gone through ...
Health monitoring IoT device with risk prediction using cloud computing and machine learning
(Brac University, 2020-04)
Health issues often stay hidden due to not having regular health checkups. Sometimes
these issues build-up to a signi cant health hazard which stays hidden until
it's often too late. So we came up with a series of ideas ...