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Now showing items 121-130 of 143
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 ...
Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
(Brac University, 2021-06)
This paper describes design of affordable intelligent glass for visually impaired. A significant number of people are visually impaired or blind among the total population of Bangladesh. Most
of them relied on others ...
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 ...
Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
(Brac University, 2024-01)
Flooding is a complex phenomenon that, due to its nonlinear and dynamic character,
is difficult to anticipate. As a result, the prediction of floods has emerged as a
critical area of study in the field of hydrology. ...
Fortifying federated learning: security against model poisoning attacks
(Brac University, 2024-01)
Distributed machine learning advancements have the potential to transform future
networking systems and communications. An effective framework for machine learning
has been made possible by the introduction of Federated ...
Citrus leaf disease detection by image processing
(Brac University, 2024-01)
Citrus leaf diseases bring a danger to the earnings of citrus estates. When it comes
to recovering from illness, early detection and accurate diagnosis are very necessary.
In the last several decades, there have been ...
Pneumonia Disease detection using the convolutional neural network
(Brac University, 2023-01)
A bacterial illness called pneumonia causes inflammation in the air passages with one
or even both lungs. The disease can range from mild to life-threatening. Diagnosing
the disease at an earlier stage is crucial for the ...
Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
(Brac University, 2024-01)
Adrenocortical Carcinoma (ACC) is a rare but highly lethal cancer that occurs
in the adrenal cortex. Accurate diagnosis of ACC are vital in order to determine
appropriate treatment strategies and predict patient outcomes. ...
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. ...
ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
(Brac University, 2024-01)
microbial ecosystems. This has led to their increased utilization in several research
areas, such as bacterial genome engineering, phage therapy, disease diagnostics, and
viral host identification. The structure of phages ...