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Bang-lish sentiment classification using deep learning
(Brac University, 2023-01)
E-commerce websites and social media platforms have become integral parts of peo ple’s social lives. Through posts, comments, and reviews on social media and online
shopping websites, people can share their ideas. ...
Automated feedback test generation and functionality testing for UI development with self-guided recommendation
(Brac University, 2023-01)
UI development is the most integral part of the Software Development Life Cycle
and testing the functionality of the UI is also as much important during the Software
Testing Life Cycle of any software project. Without ...
A comparative analysis of deep learning and hybrid models to diagnose multi-class skin cancer
(Brac University, 2023-05)
Skin cancer is one of the most lethal and increasingly prevalent cancers in the world. Skin cancer develops when the epidermal (top layer of skin) cells divide abnormally, causing it to spread to other regions of the human ...
Optimal transport theory based GAN for medical image augmentation and classification
(Brac University, 2023-01)
Unsupervised neural networks called Generative Adversarial Networks (GANs) are
used to provide realistic pictures without relying on the original data. Due to dis parities in illness occurrence, the challenge of class ...
Graph data mining-based community clustering for gender-biased community detection of social media
(Brac University, 2023-05)
One of the alarming and uprising issues of the world is gender inequality in recent decades. It is a widespread problem that affects people all around the world, albeit its manifestations and severity vary depending on ...
Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
(Brac University, 2023-01)
The livestock industry is a vital component of the global economy, with a value estimated at over $1.4 trillion. However, the health of livestock animals is frequently
threatened by infectious diseases, which can have ...
A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
(Brac University, 2023-04)
Nowadays, social networking sites like Facebook and Twitter have become an sig-
nificant impact on our lives . We use such sites to remain in touch with one another
and as a source of news to stay informed about current ...
Stock price prediction
(Brac University, 2023-05)
Accurately predicting the stock value enables investors to earn more money, reducing
their uncertainty on whether to buy and sell. Again during the COVID-19 period,
many companies have shown a different picture of the ...
Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
(Brac University, 2023-01)
As the world keeps healing from the worldwide outbreak of COVID-19, the MPOX
virus poses a new risk. The Mpox virus is not as deadly or contagious as COVID-19,
but new patient cases are recorded every day from a wide ...
Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
(Brac University, 2023-01)
Search and rescue operations in disaster-stricken areas are often hindered by chal lenging environmental conditions, such as poor visibility, limited lighting, and high
levels of noise and clutter. These conditions can ...