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Now showing items 11-15 of 15
An efficient face recognition model using multiple angular images and deep neural network architecture
(Brac University, 2023-01)
Face surface information in three dimensions is one of the promising biometric
modality that can improve the identification and increase the accuracy of verification
of face recognition systems in challenging situations.This ...
Segmentation based Kidney Tumor Classification using Deep Neural Network
(Brac University, 2022-01)
Kidney disease is one of many severe chronic disease that a person can have. Early
detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
(Brac University, 2022-05)
Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal
problems that can be used in combination with traditional diagnostic testing
methods. We developed and implemented a deep Convolutional ...
MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
(Brac University, 2024-01)
Just as the digital transformation of everything in this ‘Information Age’ has acted
substantially to mitigate conventional crimes to a degree, the rate of cyber crime
has parallelly elevated alarmingly. As malware has ...
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. ...