Search
Now showing items 1-7 of 7
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 ...
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 ...
Silent voice: harnessing deep learning for lip-reading in Bangla
(Brac University, 2024-01)
Understanding speech just through lip movement is known as lipreading. It is a
crucial component of interpersonal interactions. The majority of the previous initiatives
attempted to address the English lipreading issue. ...
Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports
(Brac University, 2024-01)
In this project, we delve deeper into the complex area of predicting a potential replacement
of a footballer of a specific position. For that, we used multiple machine
learning models on the Sofifa dataset. Our analysis ...
Predicting Novel Coronavirus (nCoV) strains detecting the mutation process applying neural networking
(Brac University, 2024-01)
As viruses undergo rapid evolution, the SARS-CoV-2 which is known as Covid-
19 has persisted in human populations for approximately three and a half years
rapidly, continually exhibiting swift and unpredictable mutations. ...
Investigating the use of deep learning for textual entailment in BRACU-NLI dataset
(Brac University, 2024-01)
This work aims to analyze the potential of deep neural models for text-based entailment
in Bangla Language. Entailment is the method of determining whether one
text infers or goes against another text. The study concentrates ...
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 ...