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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 ...
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. ...
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 ...
Behavior change analysis due to violent video gaming using deep learning models
(Brac University, 2024-02)
In the 21st century, technology has advanced at such a wondrous rate that people
resort to this developed medium to carry out most of their tasks, from household
chores to daily necessities and almost everything else. ...
Protovision: utilizing prototypical networks for retinal diseases classification based on few-shot learning
(Brac University, 2024-01)
Classifying retinal diseases with a higher accuracy rate is one of the most important
means in the medical field. In the case of image classification, finding a dataset
becomes a significant challenge for such cases. As ...
Sentiment classification on Bengali food and restaurant reviews
(Brac University, 2024-01)
Sentiment analysis, a critical facet of Natural Language Processing (NLP), plays a
pivotal role in decoding human emotions conveyed through text. Despite extensive
research in sentiment analysis for widely spoken languages, ...
Real time dynamic facial recognition of subject at motion using angular image
(Brac University, 2024-01)
In the developing world keeping track of violations or implementing a secured environment
has become crucial. In order to address such issues dynamic facial recognition
could be developed in such a way that it can ...
Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
(Brac University, 2024-01)
The increasing number of elderly individuals living alone has emerged as a pressing
global concern. Our research aims to address this issue by developing advanced
modules that can be integrated into a system that enhances ...