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Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
(Brac University, 2023-09)
"Medical picture segmentation is important for clinical applications because it can
offer valuable information on disease identification. With the inclusion of deep
learning techniques, the original U-Net and ResUnet ...
Speech command classification based on deep neural networks
(Brac University, 2023-03)
In our day-to-day life there are lots of sounds that we are processing. To process
these sounds our brain absorb sound signals and provide us informative knowledge.
For human being this is not possible to extract every ...
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 ...
Analysing neural network models for detecting panic attacks with uncertainty analysis
(Brac University, 2024-01)
In our society and around the world a lot of people suffer from panic attacks. These
panic attacks can be mild or very intense physical stimulations that may incapacitate
an individual at the spot when the panic attack ...
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 ...
Enhanced hate speech detection in social media using transformer-based models
(Brac University, 2024-01)
Hate speech on social media can escalate into ”cyber conflict,” detrimentally impacting
social life. With the exponential growth of Internet users and media content,
identifying abusive language in audio and video content ...
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. ...
An efficient deep learning approach to classify white blood cells
(Brac University, 2023-09)
The human immune system’s white blood cells (WBCs) fight against infection and
prevent the body from potentially harmful substances. They consist of neutrophils,
eosinophils, basophils, monocytes, and lymphocytes, each ...
Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
(Brac University, 2023-09)
In recent years, online food ordering services have gained popularity by providing
customers with suitable and user-friendly platforms for ordering food from restaurants
and receiving doorstep delivery. Foodpanda Bangladesh ...
Automatic question & answer generation using generative Large Language Model (LLM)
(Brac University, 2024-01)
In the realm of education, student evaluation holds equal significance as imparting
knowledge. To be evaluated, students usually need to go through text-based academic
assessment methods. Instructors need to make diverse ...