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Deep learning-based waste classification system for efficient waste management
(Brac University, 2021-10)
A smart waste management system plays a vital role in building cleanliness, hygienic,
and healthier living for the inhabitants of a city. However, the inherent problems
of the waste management system are still a matter ...
Voice impersonation detection using LSTM based RNN and explainable AI
(Brac University, 2021-10)
The advancing eld of arti cial synthetic media introduced deepfakes which made
it easier to synthesize a person's voice, identical to their original voice mechanically
to use it for negative means. People's voices are ...
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)
Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
(Brac University, 2021)
Image segmentation is a fundamental section of the current healthcare system to segment and
detect diseases such as disease of the lung (pneumothorax), cancer, diabetic retinopathy, dengue,
malaria, heart disease, ...
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 ...