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Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)
In the innovative era, the problem of recognizing undesirable objects and individuals
on conveyor belts is addressed by various architectural or algorithmic approaches.
Conveyor belts are those by which things go in a ...
Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
(Brac University, 2023-09)
"Medical picture segmentation is important for clinical applications because it can
offer valuable information on disease identification. With the inclusion of deep
learning techniques, the original U-Net and ResUnet ...
Speech command classification based on deep neural networks
(Brac University, 2023-03)
In our day-to-day life there are lots of sounds that we are processing. To process
these sounds our brain absorb sound signals and provide us informative knowledge.
For human being this is not possible to extract every ...
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
(Brac University, 2023-09)
Skin Cancer is a cancer form that has become very prevalent in recent times and, if
left untreated, has the potential to cause premature death. That is why early diagnosis
and treatment are important to cure this disease. ...