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Now showing items 31-34 of 34
BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
(Brac University, 2022-01)
The art of luring us to click on certain content by exploiting our curiosity is recognized
as clickbait. Clickbait might be aggravating at times because it is misleading.
Several studies have worked on the detection of ...
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)
Colon cancer is one the most prominent and daunting life threatening illnesses in
the world. Histopathological diagnosis is one of the most important factors in determining
cancer type. The current study aims to create ...
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 ...
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 ...