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Now showing items 111-119 of 119
Demystifying black-box learning models of rumor detection from social media posts
(BRAC University, 2021-09)
Social media and its users are vulnerable to the spread of rumors, therefore, protect ing users from these rumors spread is extremely important. This research proposes a
novel approach for rumor detection in social media ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...
A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
(Brac University, 2021-09)
Rapid industrial growth has increased the vulnerability of systems to malfunction
and permanent damage. Fault detection systems have been installed to prevent such
occurrences. In order to eliminate potential life-threatening ...
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 ...
An active-learning based training-schedule for biomedical image segmentation on deep neural networks
(Brac University, 2021-01)
Biomedical image classification and segmentation are quite important tasks for medical diagnosis. Many Deep Neural Networks (U-Net, V-Net, etc) have been used in
recent years to segment biomedical images. For classification ...
Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
(BRAC University, 2018)
The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...
An efficient deep learning approach for detecting Alzheimer’s disease using brain images
(Brac University, 2022-01)
Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory.
This is a successively growing disease which means the severity of it will be upward
with the time. In this century, AD is one of the ...
Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
(Brac University, 2023-09)
This thesis presents a novel approach for the automatic detection, categorization, and sub-categorization of violent and nonviolent behaviors in video footage. This research addresses the growing necessity for enhanced ...
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
(Brac University, 2022-01)
Content centric network is a state-of-the-art networking architecture for content
distribution and content caching. However, it is inefficient to cache every content
in each network device. The modern edge computing ...