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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 ...
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. ...
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 ...
MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
(Brac University, 2024-01)
Just as the digital transformation of everything in this ‘Information Age’ has acted
substantially to mitigate conventional crimes to a degree, the rate of cyber crime
has parallelly elevated alarmingly. As malware has ...
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 ...
Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
(Brac University, 2024-01)
The preliminary and precise diagnosis of Alzheimer’s Disease is significant for the
speedy management and intervention of the disorder. Numerous valuable tools such
as Magnetic Resonance Imaging (MRI), Positron Emission ...
Deep learning based early Glaucoma detection
(Brac University, 2024-01)
Glaucoma is a severe eye condition that can lead to progressive vision impairment
if left untreated. Diagnosis and monitoring of glaucoma at an initial stage is critical
for effective treatment of the disease. However, ...
Hybrid recommendation system of intelligent captioning using deep learning networks
(Brac University, 2024)
This research introduces a hybrid recommendation system through sentiment analysis
for Bangla long textual sentences. Social media, as a vast source of opinions, can
be harnessed through sentiment analysis using deep ...
Classification of retinal diseases from OCT images using deep learning models
(Brac University, 2024-01)
Retina is an important part of our vision, but it can easily get affected and create
various vision problems like vision loss and others. According to the statistics
provided by The World Health Organization, it is ...