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Now showing items 121-130 of 140
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 ...
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, ...
UI development and functionality testing automation in android application
(Brac University, 2023)
Software Automation Process involves automating the software testing process entailing
machine learning models and methodologies. This may entail procedures like
test case prioritization, selection and test case generation. ...