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Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)
The neurodegenerative Alzheimer's Disease is the most widely recognized cause of
`Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless,
there is still no conclusive test for distinguishing ...
Real time performance analysis on DDoS attack detection using machine learning
(Brac University, 2020-04)
In recent years, Distributed Denial of service (DDoS) attacks have led to a tremendous
financial loss in some industries and governments. Such as banks, universities,
news and media publications, financial services, ...
Conversational AI for companionship
(Brac University, 2022-05)
The conversational style of a human is estimated by humor, personality, voice tone,
etc. These characteristics are necessary for virtual assistants that are artificially
intelligent for conversation. This research ...
Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
(Brac University, 2023-01)
With the dynamic advancement of internet services over the past decade, chatbots,
also recognized as conversational agents, have risen to prominence. They are signif icantly acclimated to develop a useful digital expert ...
Classifying insect pests from image data using deep learning
(Brac University, 2022-01)
The fact that insecticidal pests impair significant agricultural productivity has become
one of the main challenges in agriculture. There are, nevertheless, several
requirements for a high-performing automated system ...
Optimizing American sign language recognition with binarized neural networks: a comparative study with traditional models
(Brac University, 2023-05)
Sign language is essential for effective communication among individuals with hearing
or speech impairments. Automated recognition systems for sign language are
crucial for facilitating learning and translation across ...